2022/08/02 14:11:36 - mmengine - INFO - load model from: https://download.pytorch.org/models/resnet50-11ad3fa6.pth 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.conv_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.bn_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.conv_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.bn_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.conv_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.bn_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.conv_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.bn_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.g.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.conv_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.bn_out 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.theta 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.phi.0 2022/08/02 14:11:40 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/08/02 14:11:40 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb by HardDiskBackend. 2022/08/02 14:13:03 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 1.0000e-03 eta: 23 days, 3:51:24 time: 4.1602 data_time: 3.0533 memory: 45864 grad_norm: 1.4669 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9888 loss: 5.9888 2022/08/02 14:13:23 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 1.0000e-03 eta: 14 days, 7:57:56 time: 0.9887 data_time: 0.0261 memory: 8198 grad_norm: 1.4502 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.9994 loss: 5.9994 2022/08/02 14:13:29 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 1.0000e-03 eta: 10 days, 1:55:27 time: 0.2835 data_time: 0.0219 memory: 8198 grad_norm: 1.3925 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9931 loss: 5.9931 2022/08/02 14:13:34 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 1.0000e-03 eta: 7 days, 22:48:53 time: 0.2808 data_time: 0.0218 memory: 8198 grad_norm: 1.4048 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9920 loss: 5.9920 2022/08/02 14:13:40 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 1.0000e-03 eta: 6 days, 16:11:52 time: 0.2827 data_time: 0.0205 memory: 8198 grad_norm: 1.4317 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9832 loss: 5.9832 2022/08/02 14:13:46 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 1.0000e-03 eta: 5 days, 19:55:08 time: 0.2886 data_time: 0.0196 memory: 8198 grad_norm: 1.4028 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9750 loss: 5.9750 2022/08/02 14:13:52 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 1.0000e-03 eta: 5 days, 5:38:44 time: 0.2997 data_time: 0.0247 memory: 8198 grad_norm: 1.4209 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9744 loss: 5.9744 2022/08/02 14:13:57 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 1.0000e-03 eta: 4 days, 18:33:44 time: 0.2771 data_time: 0.0198 memory: 8198 grad_norm: 1.4715 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9610 loss: 5.9610 2022/08/02 14:14:03 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 1.0000e-03 eta: 4 days, 9:58:44 time: 0.2796 data_time: 0.0298 memory: 8198 grad_norm: 1.5469 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9514 loss: 5.9514 2022/08/02 14:14:09 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 1.0000e-03 eta: 4 days, 3:05:03 time: 0.2776 data_time: 0.0224 memory: 8198 grad_norm: 1.5877 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9661 loss: 5.9661 2022/08/02 14:14:14 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 1.0000e-03 eta: 3 days, 21:31:46 time: 0.2847 data_time: 0.0263 memory: 8198 grad_norm: 1.6515 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9482 loss: 5.9482 2022/08/02 14:14:20 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 1.0000e-03 eta: 3 days, 16:57:52 time: 0.2905 data_time: 0.0234 memory: 8198 grad_norm: 1.7495 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9397 loss: 5.9397 2022/08/02 14:14:30 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 1.0000e-03 eta: 3 days, 15:07:28 time: 0.4874 data_time: 0.1781 memory: 8198 grad_norm: 1.8224 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9210 loss: 5.9210 2022/08/02 14:14:40 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 1.0000e-03 eta: 3 days, 13:50:14 time: 0.5178 data_time: 0.0560 memory: 8198 grad_norm: 1.8681 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9162 loss: 5.9162 2022/08/02 14:14:46 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 1.0000e-03 eta: 3 days, 10:38:44 time: 0.2847 data_time: 0.0208 memory: 8198 grad_norm: 1.8966 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8925 loss: 5.8925 2022/08/02 14:14:52 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 1.0000e-03 eta: 3 days, 7:54:17 time: 0.2909 data_time: 0.0154 memory: 8198 grad_norm: 1.9428 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9135 loss: 5.9135 2022/08/02 14:14:57 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 1.0000e-03 eta: 3 days, 5:23:54 time: 0.2797 data_time: 0.0286 memory: 8198 grad_norm: 1.9888 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.8687 loss: 5.8687 2022/08/02 14:15:03 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 1.0000e-03 eta: 3 days, 3:11:55 time: 0.2835 data_time: 0.0265 memory: 8198 grad_norm: 1.9982 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8923 loss: 5.8923 2022/08/02 14:15:09 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 1.0000e-03 eta: 3 days, 1:17:10 time: 0.2915 data_time: 0.0248 memory: 8198 grad_norm: 2.0568 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.8400 loss: 5.8400 2022/08/02 14:15:15 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 1.0000e-03 eta: 2 days, 23:33:47 time: 0.2913 data_time: 0.0201 memory: 8198 grad_norm: 2.1063 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.8316 loss: 5.8316 2022/08/02 14:15:20 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 1.0000e-03 eta: 2 days, 21:56:46 time: 0.2821 data_time: 0.0232 memory: 8198 grad_norm: 2.1475 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.8001 loss: 5.8001 2022/08/02 14:15:26 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 1.0000e-03 eta: 2 days, 20:27:44 time: 0.2799 data_time: 0.0174 memory: 8198 grad_norm: 2.1993 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.8110 loss: 5.8110 2022/08/02 14:15:32 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 1.0000e-03 eta: 2 days, 19:11:01 time: 0.2930 data_time: 0.0257 memory: 8198 grad_norm: 2.2377 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7973 loss: 5.7973 2022/08/02 14:15:37 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 1.0000e-03 eta: 2 days, 17:56:12 time: 0.2796 data_time: 0.0165 memory: 8198 grad_norm: 2.3034 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7603 loss: 5.7603 2022/08/02 14:15:43 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 1.0000e-03 eta: 2 days, 16:48:17 time: 0.2825 data_time: 0.0204 memory: 8198 grad_norm: 2.3684 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.7437 loss: 5.7437 2022/08/02 14:15:49 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 1.0000e-03 eta: 2 days, 15:44:59 time: 0.2805 data_time: 0.0215 memory: 8198 grad_norm: 2.4080 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7463 loss: 5.7463 2022/08/02 14:15:54 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 1.0000e-03 eta: 2 days, 14:47:59 time: 0.2860 data_time: 0.0285 memory: 8198 grad_norm: 2.4789 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.6600 loss: 5.6600 2022/08/02 14:16:00 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 1.0000e-03 eta: 2 days, 13:53:59 time: 0.2822 data_time: 0.0196 memory: 8198 grad_norm: 2.5335 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 5.6706 loss: 5.6706 2022/08/02 14:16:06 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 1.0000e-03 eta: 2 days, 13:03:55 time: 0.2831 data_time: 0.0233 memory: 8198 grad_norm: 2.5846 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.6493 loss: 5.6493 2022/08/02 14:16:11 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 1.0000e-03 eta: 2 days, 12:16:46 time: 0.2815 data_time: 0.0204 memory: 8198 grad_norm: 2.6590 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.5841 loss: 5.5841 2022/08/02 14:16:17 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 1.0000e-03 eta: 2 days, 11:33:04 time: 0.2831 data_time: 0.0234 memory: 8198 grad_norm: 2.7209 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 5.5835 loss: 5.5835 2022/08/02 14:16:23 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 1.0000e-03 eta: 2 days, 10:53:58 time: 0.2906 data_time: 0.0194 memory: 8198 grad_norm: 2.7728 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5626 loss: 5.5626 2022/08/02 14:16:28 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 1.0000e-03 eta: 2 days, 10:15:44 time: 0.2844 data_time: 0.0255 memory: 8198 grad_norm: 2.8486 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.5869 loss: 5.5869 2022/08/02 14:16:35 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 1.0000e-03 eta: 2 days, 9:46:17 time: 0.3122 data_time: 0.0229 memory: 8198 grad_norm: 2.9005 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.4944 loss: 5.4944 2022/08/02 14:16:40 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 1.0000e-03 eta: 2 days, 9:10:32 time: 0.2773 data_time: 0.0257 memory: 8198 grad_norm: 2.9677 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5086 loss: 5.5086 2022/08/02 14:16:46 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 1.0000e-03 eta: 2 days, 8:38:02 time: 0.2830 data_time: 0.0236 memory: 8198 grad_norm: 3.0128 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.4081 loss: 5.4081 2022/08/02 14:16:52 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 1.0000e-03 eta: 2 days, 8:14:38 time: 0.3170 data_time: 0.0250 memory: 8198 grad_norm: 3.0773 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.3585 loss: 5.3585 2022/08/02 14:16:58 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 1.0000e-03 eta: 2 days, 7:45:33 time: 0.2842 data_time: 0.0214 memory: 8198 grad_norm: 3.1072 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.2903 loss: 5.2903 2022/08/02 14:17:03 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 1.0000e-03 eta: 2 days, 7:16:53 time: 0.2790 data_time: 0.0187 memory: 8198 grad_norm: 3.2026 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 5.2861 loss: 5.2861 2022/08/02 14:17:09 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 1.0000e-03 eta: 2 days, 6:51:11 time: 0.2867 data_time: 0.0251 memory: 8198 grad_norm: 3.2295 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.2405 loss: 5.2405 2022/08/02 14:17:15 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 1.0000e-03 eta: 2 days, 6:28:57 time: 0.2981 data_time: 0.0268 memory: 8198 grad_norm: 3.2778 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2274 loss: 5.2274 2022/08/02 14:17:21 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 1.0000e-03 eta: 2 days, 6:03:46 time: 0.2770 data_time: 0.0235 memory: 8198 grad_norm: 3.3273 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 5.1994 loss: 5.1994 2022/08/02 14:17:26 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 1.0000e-03 eta: 2 days, 5:41:33 time: 0.2867 data_time: 0.0239 memory: 8198 grad_norm: 3.4085 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.2306 loss: 5.2306 2022/08/02 14:17:33 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 1.0000e-03 eta: 2 days, 5:25:04 time: 0.3126 data_time: 0.0286 memory: 8198 grad_norm: 3.4156 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1264 loss: 5.1264 2022/08/02 14:17:38 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 1.0000e-03 eta: 2 days, 5:03:18 time: 0.2788 data_time: 0.0224 memory: 8198 grad_norm: 3.4845 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.0472 loss: 5.0472 2022/08/02 14:17:44 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 1.0000e-03 eta: 2 days, 4:44:16 time: 0.2892 data_time: 0.0259 memory: 8198 grad_norm: 3.5146 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 5.0702 loss: 5.0702 2022/08/02 14:17:50 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 1.0000e-03 eta: 2 days, 4:24:39 time: 0.2810 data_time: 0.0220 memory: 8198 grad_norm: 3.5779 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 5.0777 loss: 5.0777 2022/08/02 14:17:55 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 1.0000e-03 eta: 2 days, 4:07:46 time: 0.2925 data_time: 0.0193 memory: 8198 grad_norm: 3.5920 top1_acc: 0.0000 top5_acc: 0.3125 loss_cls: 4.9412 loss: 4.9412 2022/08/02 14:18:01 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 1.0000e-03 eta: 2 days, 3:48:59 time: 0.2767 data_time: 0.0243 memory: 8198 grad_norm: 3.6600 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.8832 loss: 4.8832 2022/08/02 14:18:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:18:07 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 1.0000e-03 eta: 2 days, 3:32:17 time: 0.2850 data_time: 0.0199 memory: 8198 grad_norm: 3.6944 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 4.8938 loss: 4.8938 2022/08/02 14:18:12 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 1.0000e-03 eta: 2 days, 3:16:07 time: 0.2843 data_time: 0.0179 memory: 8198 grad_norm: 3.7174 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.8741 loss: 4.8741 2022/08/02 14:18:18 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 1.0000e-03 eta: 2 days, 3:03:08 time: 0.3009 data_time: 0.0217 memory: 8198 grad_norm: 3.7772 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 4.8557 loss: 4.8557 2022/08/02 14:18:24 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 1.0000e-03 eta: 2 days, 2:48:13 time: 0.2850 data_time: 0.0230 memory: 8198 grad_norm: 3.7754 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.8100 loss: 4.8100 2022/08/02 14:18:30 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 1.0000e-03 eta: 2 days, 2:33:18 time: 0.2812 data_time: 0.0186 memory: 8198 grad_norm: 3.8151 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.7694 loss: 4.7694 2022/08/02 14:18:35 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 1.0000e-03 eta: 2 days, 2:18:59 time: 0.2816 data_time: 0.0260 memory: 8198 grad_norm: 3.8237 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.6702 loss: 4.6702 2022/08/02 14:18:41 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 1.0000e-03 eta: 2 days, 2:04:55 time: 0.2799 data_time: 0.0235 memory: 8198 grad_norm: 3.8977 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.7718 loss: 4.7718 2022/08/02 14:18:47 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 1.0000e-03 eta: 2 days, 1:52:27 time: 0.2877 data_time: 0.0301 memory: 8198 grad_norm: 3.9171 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 4.5823 loss: 4.5823 2022/08/02 14:18:52 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 1.0000e-03 eta: 2 days, 1:40:12 time: 0.2862 data_time: 0.0231 memory: 8198 grad_norm: 3.8915 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.7545 loss: 4.7545 2022/08/02 14:18:58 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 1.0000e-03 eta: 2 days, 1:27:23 time: 0.2790 data_time: 0.0233 memory: 8198 grad_norm: 3.9385 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.5867 loss: 4.5867 2022/08/02 14:19:04 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 1.0000e-03 eta: 2 days, 1:18:11 time: 0.3029 data_time: 0.0261 memory: 8198 grad_norm: 3.9754 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.7152 loss: 4.7152 2022/08/02 14:19:10 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 1.0000e-03 eta: 2 days, 1:06:35 time: 0.2824 data_time: 0.0242 memory: 8198 grad_norm: 4.0180 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 4.5678 loss: 4.5678 2022/08/02 14:19:15 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 1.0000e-03 eta: 2 days, 0:54:34 time: 0.2762 data_time: 0.0232 memory: 8198 grad_norm: 4.0667 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.7033 loss: 4.7033 2022/08/02 14:19:21 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 1.0000e-03 eta: 2 days, 0:43:47 time: 0.2831 data_time: 0.0271 memory: 8198 grad_norm: 4.0661 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.6060 loss: 4.6060 2022/08/02 14:19:27 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 1.0000e-03 eta: 2 days, 0:33:04 time: 0.2808 data_time: 0.0216 memory: 8198 grad_norm: 4.1397 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.6575 loss: 4.6575 2022/08/02 14:19:32 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 1.0000e-03 eta: 2 days, 0:23:07 time: 0.2845 data_time: 0.0244 memory: 8198 grad_norm: 4.1478 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.6307 loss: 4.6307 2022/08/02 14:19:38 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 1.0000e-03 eta: 2 days, 0:13:22 time: 0.2836 data_time: 0.0212 memory: 8198 grad_norm: 4.1559 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.5310 loss: 4.5310 2022/08/02 14:19:44 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 1.0000e-03 eta: 2 days, 0:04:12 time: 0.2861 data_time: 0.0219 memory: 8198 grad_norm: 4.1582 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6284 loss: 4.6284 2022/08/02 14:19:49 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 1.0000e-03 eta: 1 day, 23:54:25 time: 0.2786 data_time: 0.0156 memory: 8198 grad_norm: 4.2288 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.4631 loss: 4.4631 2022/08/02 14:19:55 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 1.0000e-03 eta: 1 day, 23:46:17 time: 0.2905 data_time: 0.0258 memory: 8198 grad_norm: 4.2423 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.5584 loss: 4.5584 2022/08/02 14:20:01 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 1.0000e-03 eta: 1 day, 23:36:50 time: 0.2769 data_time: 0.0192 memory: 8198 grad_norm: 4.2186 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.3903 loss: 4.3903 2022/08/02 14:20:09 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 1.0000e-03 eta: 1 day, 23:42:52 time: 0.4120 data_time: 0.0222 memory: 8198 grad_norm: 4.2711 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4116 loss: 4.4116 2022/08/02 14:20:15 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 1.0000e-03 eta: 1 day, 23:34:49 time: 0.2867 data_time: 0.0207 memory: 8198 grad_norm: 4.3023 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.3552 loss: 4.3552 2022/08/02 14:20:20 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 1.0000e-03 eta: 1 day, 23:25:44 time: 0.2753 data_time: 0.0203 memory: 8198 grad_norm: 4.3224 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1939 loss: 4.1939 2022/08/02 14:20:26 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 1.0000e-03 eta: 1 day, 23:18:21 time: 0.2888 data_time: 0.0220 memory: 8198 grad_norm: 4.3325 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.4095 loss: 4.4095 2022/08/02 14:20:31 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 1.0000e-03 eta: 1 day, 23:10:26 time: 0.2820 data_time: 0.0299 memory: 8198 grad_norm: 4.3075 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.4355 loss: 4.4355 2022/08/02 14:20:39 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 1.0000e-03 eta: 1 day, 23:13:58 time: 0.3889 data_time: 0.1301 memory: 8198 grad_norm: 4.3808 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 4.2077 loss: 4.2077 2022/08/02 14:20:45 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 1.0000e-03 eta: 1 day, 23:07:59 time: 0.2981 data_time: 0.0321 memory: 8198 grad_norm: 4.4073 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 4.3255 loss: 4.3255 2022/08/02 14:20:51 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 1.0000e-03 eta: 1 day, 23:00:06 time: 0.2781 data_time: 0.0142 memory: 8198 grad_norm: 4.4560 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.4159 loss: 4.4159 2022/08/02 14:20:57 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 1.0000e-03 eta: 1 day, 22:54:53 time: 0.3025 data_time: 0.0171 memory: 8198 grad_norm: 4.4617 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 4.1846 loss: 4.1846 2022/08/02 14:21:02 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 1.0000e-03 eta: 1 day, 22:47:35 time: 0.2804 data_time: 0.0202 memory: 8198 grad_norm: 4.4505 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.2690 loss: 4.2690 2022/08/02 14:21:08 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 1.0000e-03 eta: 1 day, 22:40:56 time: 0.2851 data_time: 0.0270 memory: 8198 grad_norm: 4.4444 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 4.4296 loss: 4.4296 2022/08/02 14:21:14 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 1.0000e-03 eta: 1 day, 22:36:37 time: 0.3076 data_time: 0.0235 memory: 8198 grad_norm: 4.4912 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.2581 loss: 4.2581 2022/08/02 14:21:20 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 1.0000e-03 eta: 1 day, 22:29:18 time: 0.2751 data_time: 0.0201 memory: 8198 grad_norm: 4.5104 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.3947 loss: 4.3947 2022/08/02 14:21:25 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 1.0000e-03 eta: 1 day, 22:22:32 time: 0.2792 data_time: 0.0202 memory: 8198 grad_norm: 4.5508 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.1021 loss: 4.1021 2022/08/02 14:21:31 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 1.0000e-03 eta: 1 day, 22:16:32 time: 0.2857 data_time: 0.0280 memory: 8198 grad_norm: 4.5353 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.2569 loss: 4.2569 2022/08/02 14:21:37 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 1.0000e-03 eta: 1 day, 22:10:37 time: 0.2851 data_time: 0.0251 memory: 8198 grad_norm: 4.6166 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1208 loss: 4.1208 2022/08/02 14:21:42 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 1.0000e-03 eta: 1 day, 22:04:50 time: 0.2851 data_time: 0.0197 memory: 8198 grad_norm: 4.5632 top1_acc: 0.0625 top5_acc: 0.5625 loss_cls: 4.1409 loss: 4.1409 2022/08/02 14:21:48 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 1.0000e-03 eta: 1 day, 21:59:03 time: 0.2837 data_time: 0.0233 memory: 8198 grad_norm: 4.5854 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.1281 loss: 4.1281 2022/08/02 14:21:54 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 1.0000e-03 eta: 1 day, 21:52:58 time: 0.2789 data_time: 0.0231 memory: 8198 grad_norm: 4.6091 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 4.1102 loss: 4.1102 2022/08/02 14:21:59 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 1.0000e-03 eta: 1 day, 21:46:51 time: 0.2770 data_time: 0.0240 memory: 8198 grad_norm: 4.6199 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 4.1605 loss: 4.1605 2022/08/02 14:22:05 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 1.0000e-03 eta: 1 day, 21:42:16 time: 0.2929 data_time: 0.0314 memory: 8198 grad_norm: 4.6792 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 4.1228 loss: 4.1228 2022/08/02 14:22:11 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 1.0000e-03 eta: 1 day, 21:37:07 time: 0.2854 data_time: 0.0210 memory: 8198 grad_norm: 4.6745 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 4.0817 loss: 4.0817 2022/08/02 14:22:17 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 1.0000e-03 eta: 1 day, 21:32:43 time: 0.2929 data_time: 0.0175 memory: 8198 grad_norm: 4.6802 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.0696 loss: 4.0696 2022/08/02 14:22:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:22:31 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 1.0000e-03 eta: 1 day, 21:32:43 time: 0.7295 data_time: 0.0125 memory: 41285 grad_norm: 4.8180 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 4.1804 loss: 4.1804 2022/08/02 14:22:39 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 2.0000e-03 eta: 1 day, 21:10:51 time: 0.4098 data_time: 0.1284 memory: 8198 grad_norm: 4.7272 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 4.0402 loss: 4.0402 2022/08/02 14:22:45 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 2.0000e-03 eta: 1 day, 21:08:14 time: 0.3094 data_time: 0.0194 memory: 8198 grad_norm: 4.7159 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 4.0942 loss: 4.0942 2022/08/02 14:22:51 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 2.0000e-03 eta: 1 day, 21:03:11 time: 0.2793 data_time: 0.0244 memory: 8198 grad_norm: 4.7775 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.0483 loss: 4.0483 2022/08/02 14:22:57 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 2.0000e-03 eta: 1 day, 20:58:52 time: 0.2868 data_time: 0.0288 memory: 8198 grad_norm: 4.7655 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8497 loss: 3.8497 2022/08/02 14:23:03 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 2.0000e-03 eta: 1 day, 20:55:27 time: 0.2972 data_time: 0.0329 memory: 8198 grad_norm: 4.7973 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.9384 loss: 3.9384 2022/08/02 14:23:08 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 2.0000e-03 eta: 1 day, 20:50:31 time: 0.2771 data_time: 0.0212 memory: 8198 grad_norm: 4.8305 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.7720 loss: 3.7720 2022/08/02 14:23:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:23:14 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 2.0000e-03 eta: 1 day, 20:46:00 time: 0.2813 data_time: 0.0195 memory: 8198 grad_norm: 4.8946 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1206 loss: 4.1206 2022/08/02 14:23:20 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 2.0000e-03 eta: 1 day, 20:41:30 time: 0.2805 data_time: 0.0196 memory: 8198 grad_norm: 4.8208 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.9209 loss: 3.9209 2022/08/02 14:23:26 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 2.0000e-03 eta: 1 day, 20:38:42 time: 0.3011 data_time: 0.0275 memory: 8198 grad_norm: 4.8713 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7875 loss: 3.7875 2022/08/02 14:23:31 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 2.0000e-03 eta: 1 day, 20:33:58 time: 0.2754 data_time: 0.0217 memory: 8198 grad_norm: 4.8865 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.0000 loss: 4.0000 2022/08/02 14:23:37 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 2.0000e-03 eta: 1 day, 20:30:35 time: 0.2920 data_time: 0.0320 memory: 8198 grad_norm: 4.9446 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8385 loss: 3.8385 2022/08/02 14:23:45 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 2.0000e-03 eta: 1 day, 20:35:26 time: 0.4004 data_time: 0.0207 memory: 8198 grad_norm: 4.9660 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.8854 loss: 3.8854 2022/08/02 14:23:50 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 2.0000e-03 eta: 1 day, 20:31:00 time: 0.2774 data_time: 0.0226 memory: 8198 grad_norm: 5.0118 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.0441 loss: 4.0441 2022/08/02 14:23:56 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 2.0000e-03 eta: 1 day, 20:26:55 time: 0.2809 data_time: 0.0235 memory: 8198 grad_norm: 4.9950 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.6418 loss: 3.6418 2022/08/02 14:24:02 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 2.0000e-03 eta: 1 day, 20:22:57 time: 0.2815 data_time: 0.0249 memory: 8198 grad_norm: 5.0474 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.8752 loss: 3.8752 2022/08/02 14:24:07 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 2.0000e-03 eta: 1 day, 20:18:54 time: 0.2794 data_time: 0.0250 memory: 8198 grad_norm: 5.0481 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.9076 loss: 3.9076 2022/08/02 14:24:13 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 2.0000e-03 eta: 1 day, 20:15:08 time: 0.2823 data_time: 0.0267 memory: 8198 grad_norm: 4.9610 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7670 loss: 3.7670 2022/08/02 14:24:19 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 2.0000e-03 eta: 1 day, 20:11:06 time: 0.2778 data_time: 0.0202 memory: 8198 grad_norm: 5.0944 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.8924 loss: 3.8924 2022/08/02 14:24:25 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 2.0000e-03 eta: 1 day, 20:08:43 time: 0.3001 data_time: 0.0403 memory: 8198 grad_norm: 5.1144 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.6827 loss: 3.6827 2022/08/02 14:24:30 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 2.0000e-03 eta: 1 day, 20:04:50 time: 0.2779 data_time: 0.0186 memory: 8198 grad_norm: 5.0652 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.8906 loss: 3.8906 2022/08/02 14:24:36 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 2.0000e-03 eta: 1 day, 20:01:08 time: 0.2797 data_time: 0.0220 memory: 8198 grad_norm: 5.1180 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.7517 loss: 3.7517 2022/08/02 14:24:41 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 2.0000e-03 eta: 1 day, 19:57:30 time: 0.2800 data_time: 0.0275 memory: 8198 grad_norm: 5.0952 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.6158 loss: 3.6158 2022/08/02 14:24:47 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 2.0000e-03 eta: 1 day, 19:54:37 time: 0.2899 data_time: 0.0248 memory: 8198 grad_norm: 5.0923 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.7027 loss: 3.7027 2022/08/02 14:24:53 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 2.0000e-03 eta: 1 day, 19:51:16 time: 0.2823 data_time: 0.0246 memory: 8198 grad_norm: 5.0588 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.6675 loss: 3.6675 2022/08/02 14:24:58 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 2.0000e-03 eta: 1 day, 19:47:37 time: 0.2771 data_time: 0.0269 memory: 8198 grad_norm: 5.0728 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6086 loss: 3.6086 2022/08/02 14:25:04 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 2.0000e-03 eta: 1 day, 19:44:53 time: 0.2899 data_time: 0.0210 memory: 8198 grad_norm: 5.1174 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.6608 loss: 3.6608 2022/08/02 14:25:10 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 2.0000e-03 eta: 1 day, 19:41:27 time: 0.2786 data_time: 0.0214 memory: 8198 grad_norm: 5.1283 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.8347 loss: 3.8347 2022/08/02 14:25:15 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 2.0000e-03 eta: 1 day, 19:38:35 time: 0.2863 data_time: 0.0179 memory: 8198 grad_norm: 5.1916 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5530 loss: 3.5530 2022/08/02 14:25:21 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 2.0000e-03 eta: 1 day, 19:35:35 time: 0.2839 data_time: 0.0219 memory: 8198 grad_norm: 5.1148 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6374 loss: 3.6374 2022/08/02 14:25:27 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 2.0000e-03 eta: 1 day, 19:32:30 time: 0.2816 data_time: 0.0257 memory: 8198 grad_norm: 5.2323 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.7678 loss: 3.7678 2022/08/02 14:25:32 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 2.0000e-03 eta: 1 day, 19:29:26 time: 0.2811 data_time: 0.0262 memory: 8198 grad_norm: 5.2509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4324 loss: 3.4324 2022/08/02 14:25:38 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 2.0000e-03 eta: 1 day, 19:26:13 time: 0.2783 data_time: 0.0198 memory: 8198 grad_norm: 5.1852 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.5699 loss: 3.5699 2022/08/02 14:25:44 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 2.0000e-03 eta: 1 day, 19:24:00 time: 0.2931 data_time: 0.0197 memory: 8198 grad_norm: 5.1930 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4758 loss: 3.4758 2022/08/02 14:25:49 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 2.0000e-03 eta: 1 day, 19:20:50 time: 0.2775 data_time: 0.0256 memory: 8198 grad_norm: 5.2565 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.5194 loss: 3.5194 2022/08/02 14:25:55 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 2.0000e-03 eta: 1 day, 19:18:07 time: 0.2839 data_time: 0.0215 memory: 8198 grad_norm: 5.2186 top1_acc: 0.0000 top5_acc: 0.5625 loss_cls: 3.6224 loss: 3.6224 2022/08/02 14:26:01 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 2.0000e-03 eta: 1 day, 19:15:25 time: 0.2836 data_time: 0.0216 memory: 8198 grad_norm: 5.2029 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.7479 loss: 3.7479 2022/08/02 14:26:06 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 2.0000e-03 eta: 1 day, 19:12:35 time: 0.2807 data_time: 0.0244 memory: 8198 grad_norm: 5.2740 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.4790 loss: 3.4790 2022/08/02 14:26:12 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 2.0000e-03 eta: 1 day, 19:09:32 time: 0.2766 data_time: 0.0179 memory: 8198 grad_norm: 5.2528 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6442 loss: 3.6442 2022/08/02 14:26:17 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 2.0000e-03 eta: 1 day, 19:06:59 time: 0.2842 data_time: 0.0253 memory: 8198 grad_norm: 5.3065 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.4856 loss: 3.4856 2022/08/02 14:26:23 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 2.0000e-03 eta: 1 day, 19:04:24 time: 0.2827 data_time: 0.0230 memory: 8198 grad_norm: 5.3160 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 3.7349 loss: 3.7349 2022/08/02 14:26:29 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 2.0000e-03 eta: 1 day, 19:01:39 time: 0.2795 data_time: 0.0230 memory: 8198 grad_norm: 5.3094 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5463 loss: 3.5463 2022/08/02 14:26:34 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 2.0000e-03 eta: 1 day, 18:59:23 time: 0.2872 data_time: 0.0245 memory: 8198 grad_norm: 5.1845 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.4360 loss: 3.4360 2022/08/02 14:26:40 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 2.0000e-03 eta: 1 day, 18:56:44 time: 0.2799 data_time: 0.0218 memory: 8198 grad_norm: 5.2584 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.6131 loss: 3.6131 2022/08/02 14:26:46 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 2.0000e-03 eta: 1 day, 18:54:37 time: 0.2885 data_time: 0.0246 memory: 8198 grad_norm: 5.3460 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.4941 loss: 3.4941 2022/08/02 14:26:51 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 2.0000e-03 eta: 1 day, 18:51:52 time: 0.2769 data_time: 0.0255 memory: 8198 grad_norm: 5.3284 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.3816 loss: 3.3816 2022/08/02 14:26:57 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 2.0000e-03 eta: 1 day, 18:49:46 time: 0.2875 data_time: 0.0218 memory: 8198 grad_norm: 5.3696 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.4161 loss: 3.4161 2022/08/02 14:27:03 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 2.0000e-03 eta: 1 day, 18:47:23 time: 0.2823 data_time: 0.0269 memory: 8198 grad_norm: 5.3368 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.4319 loss: 3.4319 2022/08/02 14:27:08 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 2.0000e-03 eta: 1 day, 18:44:58 time: 0.2810 data_time: 0.0209 memory: 8198 grad_norm: 5.3731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4956 loss: 3.4956 2022/08/02 14:27:14 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 2.0000e-03 eta: 1 day, 18:43:17 time: 0.2935 data_time: 0.0263 memory: 8198 grad_norm: 5.3065 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.5472 loss: 3.5472 2022/08/02 14:27:20 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 2.0000e-03 eta: 1 day, 18:40:43 time: 0.2773 data_time: 0.0187 memory: 8198 grad_norm: 5.4273 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3496 loss: 3.3496 2022/08/02 14:27:25 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 2.0000e-03 eta: 1 day, 18:38:26 time: 0.2819 data_time: 0.0238 memory: 8198 grad_norm: 5.3605 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.4079 loss: 3.4079 2022/08/02 14:27:31 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 2.0000e-03 eta: 1 day, 18:36:10 time: 0.2812 data_time: 0.0250 memory: 8198 grad_norm: 5.4062 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6806 loss: 3.6806 2022/08/02 14:27:37 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 2.0000e-03 eta: 1 day, 18:33:59 time: 0.2826 data_time: 0.0239 memory: 8198 grad_norm: 5.4421 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4239 loss: 3.4239 2022/08/02 14:27:42 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 2.0000e-03 eta: 1 day, 18:31:29 time: 0.2761 data_time: 0.0231 memory: 8198 grad_norm: 5.3978 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1994 loss: 3.1994 2022/08/02 14:27:48 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 2.0000e-03 eta: 1 day, 18:29:43 time: 0.2895 data_time: 0.0249 memory: 8198 grad_norm: 5.4418 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.4343 loss: 3.4343 2022/08/02 14:27:54 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 2.0000e-03 eta: 1 day, 18:29:48 time: 0.3235 data_time: 0.0453 memory: 8198 grad_norm: 5.3295 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3371 loss: 3.3371 2022/08/02 14:27:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:28:00 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 2.0000e-03 eta: 1 day, 18:27:19 time: 0.2748 data_time: 0.0148 memory: 8198 grad_norm: 5.4741 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.4187 loss: 3.4187 2022/08/02 14:28:06 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 2.0000e-03 eta: 1 day, 18:25:34 time: 0.2887 data_time: 0.0219 memory: 8198 grad_norm: 5.4272 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.4514 loss: 3.4514 2022/08/02 14:28:11 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 2.0000e-03 eta: 1 day, 18:23:17 time: 0.2777 data_time: 0.0182 memory: 8198 grad_norm: 5.4064 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.4412 loss: 3.4412 2022/08/02 14:28:17 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 2.0000e-03 eta: 1 day, 18:22:12 time: 0.3004 data_time: 0.0220 memory: 8198 grad_norm: 5.4487 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.4735 loss: 3.4735 2022/08/02 14:28:23 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 2.0000e-03 eta: 1 day, 18:20:15 time: 0.2831 data_time: 0.0254 memory: 8198 grad_norm: 5.4401 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.6354 loss: 3.6354 2022/08/02 14:28:29 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 2.0000e-03 eta: 1 day, 18:18:16 time: 0.2823 data_time: 0.0268 memory: 8198 grad_norm: 5.4021 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3087 loss: 3.3087 2022/08/02 14:28:34 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 2.0000e-03 eta: 1 day, 18:16:50 time: 0.2925 data_time: 0.0272 memory: 8198 grad_norm: 5.4896 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3159 loss: 3.3159 2022/08/02 14:28:40 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 2.0000e-03 eta: 1 day, 18:14:40 time: 0.2776 data_time: 0.0266 memory: 8198 grad_norm: 5.3650 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.4226 loss: 3.4226 2022/08/02 14:28:46 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 2.0000e-03 eta: 1 day, 18:12:44 time: 0.2817 data_time: 0.0237 memory: 8198 grad_norm: 5.4933 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4807 loss: 3.4807 2022/08/02 14:28:51 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 2.0000e-03 eta: 1 day, 18:10:37 time: 0.2775 data_time: 0.0232 memory: 8198 grad_norm: 5.4222 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.3434 loss: 3.3434 2022/08/02 14:28:57 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 2.0000e-03 eta: 1 day, 18:08:58 time: 0.2867 data_time: 0.0232 memory: 8198 grad_norm: 5.4528 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.4294 loss: 3.4294 2022/08/02 14:29:03 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 2.0000e-03 eta: 1 day, 18:07:01 time: 0.2800 data_time: 0.0222 memory: 8198 grad_norm: 5.4627 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.3979 loss: 3.3979 2022/08/02 14:29:08 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 2.0000e-03 eta: 1 day, 18:05:18 time: 0.2845 data_time: 0.0284 memory: 8198 grad_norm: 5.5394 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3460 loss: 3.3460 2022/08/02 14:29:15 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 2.0000e-03 eta: 1 day, 18:05:08 time: 0.3158 data_time: 0.0201 memory: 8198 grad_norm: 5.4121 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.3292 loss: 3.3292 2022/08/02 14:29:21 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 2.0000e-03 eta: 1 day, 18:04:36 time: 0.3085 data_time: 0.0215 memory: 8198 grad_norm: 5.4986 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.4021 loss: 3.4021 2022/08/02 14:29:26 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 2.0000e-03 eta: 1 day, 18:02:43 time: 0.2800 data_time: 0.0221 memory: 8198 grad_norm: 5.4903 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.2040 loss: 3.2040 2022/08/02 14:29:32 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 2.0000e-03 eta: 1 day, 18:01:05 time: 0.2846 data_time: 0.0243 memory: 8198 grad_norm: 5.4640 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.3263 loss: 3.3263 2022/08/02 14:29:38 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 2.0000e-03 eta: 1 day, 17:59:45 time: 0.2910 data_time: 0.0214 memory: 8198 grad_norm: 5.5240 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.4220 loss: 3.4220 2022/08/02 14:29:44 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 2.0000e-03 eta: 1 day, 17:58:23 time: 0.2896 data_time: 0.0228 memory: 8198 grad_norm: 5.5116 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.2795 loss: 3.2795 2022/08/02 14:29:49 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 2.0000e-03 eta: 1 day, 17:56:39 time: 0.2818 data_time: 0.0249 memory: 8198 grad_norm: 5.5017 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.2783 loss: 3.2783 2022/08/02 14:29:55 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 2.0000e-03 eta: 1 day, 17:55:34 time: 0.2949 data_time: 0.0240 memory: 8198 grad_norm: 5.4579 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.2935 loss: 3.2935 2022/08/02 14:30:01 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 2.0000e-03 eta: 1 day, 17:53:43 time: 0.2785 data_time: 0.0225 memory: 8198 grad_norm: 5.5135 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0987 loss: 3.0987 2022/08/02 14:30:07 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 2.0000e-03 eta: 1 day, 17:52:47 time: 0.2978 data_time: 0.0287 memory: 8198 grad_norm: 5.5493 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.2590 loss: 3.2590 2022/08/02 14:30:12 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 2.0000e-03 eta: 1 day, 17:51:00 time: 0.2789 data_time: 0.0229 memory: 8198 grad_norm: 5.5591 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.3534 loss: 3.3534 2022/08/02 14:30:18 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 2.0000e-03 eta: 1 day, 17:50:05 time: 0.2978 data_time: 0.0229 memory: 8198 grad_norm: 5.6240 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.3513 loss: 3.3513 2022/08/02 14:30:24 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 2.0000e-03 eta: 1 day, 17:48:35 time: 0.2845 data_time: 0.0304 memory: 8198 grad_norm: 5.4884 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3074 loss: 3.3074 2022/08/02 14:30:29 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 2.0000e-03 eta: 1 day, 17:46:50 time: 0.2786 data_time: 0.0215 memory: 8198 grad_norm: 5.5182 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.4032 loss: 3.4032 2022/08/02 14:30:35 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 2.0000e-03 eta: 1 day, 17:45:55 time: 0.2969 data_time: 0.0195 memory: 8198 grad_norm: 5.4582 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2836 loss: 3.2836 2022/08/02 14:30:41 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 2.0000e-03 eta: 1 day, 17:44:11 time: 0.2781 data_time: 0.0221 memory: 8198 grad_norm: 5.5095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1470 loss: 3.1470 2022/08/02 14:30:47 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 2.0000e-03 eta: 1 day, 17:42:29 time: 0.2788 data_time: 0.0167 memory: 8198 grad_norm: 5.4585 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.3215 loss: 3.3215 2022/08/02 14:30:52 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 2.0000e-03 eta: 1 day, 17:40:54 time: 0.2809 data_time: 0.0246 memory: 8198 grad_norm: 5.5570 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 3.1402 loss: 3.1402 2022/08/02 14:30:58 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 2.0000e-03 eta: 1 day, 17:39:23 time: 0.2820 data_time: 0.0240 memory: 8198 grad_norm: 5.5485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1818 loss: 3.1818 2022/08/02 14:31:03 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 2.0000e-03 eta: 1 day, 17:37:51 time: 0.2811 data_time: 0.0210 memory: 8198 grad_norm: 5.5034 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2272 loss: 3.2272 2022/08/02 14:31:09 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 2.0000e-03 eta: 1 day, 17:36:20 time: 0.2814 data_time: 0.0193 memory: 8198 grad_norm: 5.5771 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1376 loss: 3.1376 2022/08/02 14:31:15 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 2.0000e-03 eta: 1 day, 17:34:45 time: 0.2795 data_time: 0.0243 memory: 8198 grad_norm: 5.5802 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.2573 loss: 3.2573 2022/08/02 14:31:20 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 2.0000e-03 eta: 1 day, 17:33:12 time: 0.2796 data_time: 0.0168 memory: 8198 grad_norm: 5.5908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1822 loss: 3.1822 2022/08/02 14:31:26 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 2.0000e-03 eta: 1 day, 17:32:24 time: 0.2972 data_time: 0.0241 memory: 8198 grad_norm: 5.6401 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3422 loss: 3.3422 2022/08/02 14:31:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:31:31 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 2.0000e-03 eta: 1 day, 17:32:24 time: 0.2510 data_time: 0.0135 memory: 8198 grad_norm: 5.7602 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 3.2305 loss: 3.2305 2022/08/02 14:31:39 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 3.0000e-03 eta: 1 day, 17:23:05 time: 0.3946 data_time: 0.1097 memory: 8198 grad_norm: 5.7056 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.1945 loss: 3.1945 2022/08/02 14:31:45 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 3.0000e-03 eta: 1 day, 17:22:27 time: 0.2996 data_time: 0.0203 memory: 8198 grad_norm: 5.5146 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2020 loss: 3.2020 2022/08/02 14:31:51 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 3.0000e-03 eta: 1 day, 17:21:21 time: 0.2879 data_time: 0.0245 memory: 8198 grad_norm: 5.5350 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0872 loss: 3.0872 2022/08/02 14:31:56 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 3.0000e-03 eta: 1 day, 17:19:58 time: 0.2813 data_time: 0.0207 memory: 8198 grad_norm: 5.6724 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1830 loss: 3.1830 2022/08/02 14:32:02 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 3.0000e-03 eta: 1 day, 17:18:37 time: 0.2817 data_time: 0.0243 memory: 8198 grad_norm: 5.7086 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2174 loss: 3.2174 2022/08/02 14:32:08 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 3.0000e-03 eta: 1 day, 17:17:30 time: 0.2869 data_time: 0.0243 memory: 8198 grad_norm: 5.6018 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2338 loss: 3.2338 2022/08/02 14:32:13 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 3.0000e-03 eta: 1 day, 17:15:57 time: 0.2759 data_time: 0.0212 memory: 8198 grad_norm: 5.6415 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.2318 loss: 3.2318 2022/08/02 14:32:19 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 3.0000e-03 eta: 1 day, 17:14:29 time: 0.2779 data_time: 0.0258 memory: 8198 grad_norm: 5.6456 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1280 loss: 3.1280 2022/08/02 14:32:25 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 3.0000e-03 eta: 1 day, 17:13:33 time: 0.2905 data_time: 0.0258 memory: 8198 grad_norm: 5.6592 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0759 loss: 3.0759 2022/08/02 14:32:30 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 3.0000e-03 eta: 1 day, 17:12:45 time: 0.2941 data_time: 0.0340 memory: 8198 grad_norm: 5.5901 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.0815 loss: 3.0815 2022/08/02 14:32:36 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 3.0000e-03 eta: 1 day, 17:11:18 time: 0.2772 data_time: 0.0230 memory: 8198 grad_norm: 5.5523 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0799 loss: 3.0799 2022/08/02 14:32:42 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 3.0000e-03 eta: 1 day, 17:10:03 time: 0.2820 data_time: 0.0267 memory: 8198 grad_norm: 5.6767 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.2386 loss: 3.2386 2022/08/02 14:32:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:32:48 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 3.0000e-03 eta: 1 day, 17:09:46 time: 0.3061 data_time: 0.0226 memory: 8198 grad_norm: 5.7240 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.2473 loss: 3.2473 2022/08/02 14:32:53 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 3.0000e-03 eta: 1 day, 17:08:20 time: 0.2770 data_time: 0.0168 memory: 8198 grad_norm: 5.6720 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1272 loss: 3.1272 2022/08/02 14:32:59 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 3.0000e-03 eta: 1 day, 17:07:01 time: 0.2791 data_time: 0.0221 memory: 8198 grad_norm: 5.6458 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0502 loss: 3.0502 2022/08/02 14:33:05 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 3.0000e-03 eta: 1 day, 17:06:33 time: 0.3010 data_time: 0.0237 memory: 8198 grad_norm: 5.8130 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.1285 loss: 3.1285 2022/08/02 14:33:10 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 3.0000e-03 eta: 1 day, 17:05:06 time: 0.2756 data_time: 0.0181 memory: 8198 grad_norm: 5.7668 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.1469 loss: 3.1469 2022/08/02 14:33:16 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 3.0000e-03 eta: 1 day, 17:03:57 time: 0.2832 data_time: 0.0267 memory: 8198 grad_norm: 5.6241 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9984 loss: 2.9984 2022/08/02 14:33:22 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 3.0000e-03 eta: 1 day, 17:02:35 time: 0.2773 data_time: 0.0245 memory: 8198 grad_norm: 5.6707 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8532 loss: 2.8532 2022/08/02 14:33:27 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 3.0000e-03 eta: 1 day, 17:01:42 time: 0.2890 data_time: 0.0210 memory: 8198 grad_norm: 5.7020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1212 loss: 3.1212 2022/08/02 14:33:33 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 3.0000e-03 eta: 1 day, 17:00:27 time: 0.2799 data_time: 0.0225 memory: 8198 grad_norm: 5.6817 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.1400 loss: 3.1400 2022/08/02 14:33:39 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 3.0000e-03 eta: 1 day, 16:59:22 time: 0.2834 data_time: 0.0206 memory: 8198 grad_norm: 5.5867 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0785 loss: 3.0785 2022/08/02 14:33:45 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 3.0000e-03 eta: 1 day, 16:58:53 time: 0.2994 data_time: 0.0241 memory: 8198 grad_norm: 5.7814 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2458 loss: 3.2458 2022/08/02 14:33:50 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 3.0000e-03 eta: 1 day, 16:57:30 time: 0.2755 data_time: 0.0198 memory: 8198 grad_norm: 5.6493 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9228 loss: 2.9228 2022/08/02 14:33:56 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 3.0000e-03 eta: 1 day, 16:56:20 time: 0.2806 data_time: 0.0219 memory: 8198 grad_norm: 5.7265 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.0709 loss: 3.0709 2022/08/02 14:34:01 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 3.0000e-03 eta: 1 day, 16:55:10 time: 0.2804 data_time: 0.0185 memory: 8198 grad_norm: 5.6939 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1354 loss: 3.1354 2022/08/02 14:34:07 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 3.0000e-03 eta: 1 day, 16:54:18 time: 0.2884 data_time: 0.0251 memory: 8198 grad_norm: 5.8235 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9787 loss: 2.9787 2022/08/02 14:34:13 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 3.0000e-03 eta: 1 day, 16:53:04 time: 0.2784 data_time: 0.0240 memory: 8198 grad_norm: 5.6395 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.0654 loss: 3.0654 2022/08/02 14:34:18 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 3.0000e-03 eta: 1 day, 16:52:02 time: 0.2834 data_time: 0.0201 memory: 8198 grad_norm: 5.7846 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0208 loss: 3.0208 2022/08/02 14:34:24 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 3.0000e-03 eta: 1 day, 16:51:30 time: 0.2965 data_time: 0.0247 memory: 8198 grad_norm: 5.7512 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.1027 loss: 3.1027 2022/08/02 14:34:30 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 3.0000e-03 eta: 1 day, 16:50:19 time: 0.2792 data_time: 0.0230 memory: 8198 grad_norm: 5.8125 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.2446 loss: 3.2446 2022/08/02 14:34:36 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 3.0000e-03 eta: 1 day, 16:49:12 time: 0.2803 data_time: 0.0191 memory: 8198 grad_norm: 5.6221 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2001 loss: 3.2001 2022/08/02 14:34:41 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 3.0000e-03 eta: 1 day, 16:48:03 time: 0.2792 data_time: 0.0260 memory: 8198 grad_norm: 5.8042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0339 loss: 3.0339 2022/08/02 14:34:47 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 3.0000e-03 eta: 1 day, 16:47:55 time: 0.3075 data_time: 0.0219 memory: 8198 grad_norm: 5.6692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0183 loss: 3.0183 2022/08/02 14:34:53 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 3.0000e-03 eta: 1 day, 16:46:56 time: 0.2831 data_time: 0.0213 memory: 8198 grad_norm: 5.8201 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0380 loss: 3.0380 2022/08/02 14:34:59 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 3.0000e-03 eta: 1 day, 16:45:50 time: 0.2803 data_time: 0.0227 memory: 8198 grad_norm: 5.7698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0613 loss: 3.0613 2022/08/02 14:35:04 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 3.0000e-03 eta: 1 day, 16:45:13 time: 0.2934 data_time: 0.0234 memory: 8198 grad_norm: 5.7574 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 3.1318 loss: 3.1318 2022/08/02 14:35:10 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 3.0000e-03 eta: 1 day, 16:44:11 time: 0.2812 data_time: 0.0237 memory: 8198 grad_norm: 5.7860 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.2354 loss: 3.2354 2022/08/02 14:35:16 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 3.0000e-03 eta: 1 day, 16:43:06 time: 0.2798 data_time: 0.0199 memory: 8198 grad_norm: 5.7373 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9777 loss: 2.9777 2022/08/02 14:35:21 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 3.0000e-03 eta: 1 day, 16:42:05 time: 0.2813 data_time: 0.0173 memory: 8198 grad_norm: 5.7923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9112 loss: 2.9112 2022/08/02 14:35:27 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 3.0000e-03 eta: 1 day, 16:41:12 time: 0.2851 data_time: 0.0230 memory: 8198 grad_norm: 5.8908 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.0559 loss: 3.0559 2022/08/02 14:35:33 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 3.0000e-03 eta: 1 day, 16:40:26 time: 0.2881 data_time: 0.0198 memory: 8198 grad_norm: 5.7432 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.1762 loss: 3.1762 2022/08/02 14:35:38 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 3.0000e-03 eta: 1 day, 16:39:36 time: 0.2863 data_time: 0.0233 memory: 8198 grad_norm: 5.8184 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0079 loss: 3.0079 2022/08/02 14:35:44 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 3.0000e-03 eta: 1 day, 16:38:46 time: 0.2860 data_time: 0.0273 memory: 8198 grad_norm: 5.8553 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.3378 loss: 3.3378 2022/08/02 14:35:50 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 3.0000e-03 eta: 1 day, 16:37:36 time: 0.2755 data_time: 0.0209 memory: 8198 grad_norm: 5.7746 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.0076 loss: 3.0076 2022/08/02 14:35:55 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 3.0000e-03 eta: 1 day, 16:36:44 time: 0.2846 data_time: 0.0214 memory: 8198 grad_norm: 5.7414 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.9836 loss: 2.9836 2022/08/02 14:36:01 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 3.0000e-03 eta: 1 day, 16:35:41 time: 0.2791 data_time: 0.0269 memory: 8198 grad_norm: 5.7057 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.0711 loss: 3.0711 2022/08/02 14:36:07 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 3.0000e-03 eta: 1 day, 16:34:53 time: 0.2862 data_time: 0.0265 memory: 8198 grad_norm: 5.8514 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 3.1229 loss: 3.1229 2022/08/02 14:36:12 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 3.0000e-03 eta: 1 day, 16:33:53 time: 0.2798 data_time: 0.0269 memory: 8198 grad_norm: 5.8618 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.1018 loss: 3.1018 2022/08/02 14:36:18 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 3.0000e-03 eta: 1 day, 16:33:00 time: 0.2833 data_time: 0.0187 memory: 8198 grad_norm: 5.7824 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2280 loss: 3.2280 2022/08/02 14:36:24 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 3.0000e-03 eta: 1 day, 16:32:30 time: 0.2945 data_time: 0.0220 memory: 8198 grad_norm: 5.8214 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.0470 loss: 3.0470 2022/08/02 14:36:29 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 3.0000e-03 eta: 1 day, 16:31:27 time: 0.2776 data_time: 0.0191 memory: 8198 grad_norm: 5.8783 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9098 loss: 2.9098 2022/08/02 14:36:35 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 3.0000e-03 eta: 1 day, 16:30:37 time: 0.2840 data_time: 0.0236 memory: 8198 grad_norm: 5.8473 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0839 loss: 3.0839 2022/08/02 14:36:41 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 3.0000e-03 eta: 1 day, 16:29:35 time: 0.2782 data_time: 0.0213 memory: 8198 grad_norm: 5.8085 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0208 loss: 3.0208 2022/08/02 14:36:46 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 3.0000e-03 eta: 1 day, 16:29:01 time: 0.2916 data_time: 0.0208 memory: 8198 grad_norm: 5.9285 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 3.1645 loss: 3.1645 2022/08/02 14:36:52 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 3.0000e-03 eta: 1 day, 16:27:57 time: 0.2768 data_time: 0.0199 memory: 8198 grad_norm: 5.8512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0181 loss: 3.0181 2022/08/02 14:36:58 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 3.0000e-03 eta: 1 day, 16:27:06 time: 0.2826 data_time: 0.0224 memory: 8198 grad_norm: 5.7445 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7978 loss: 2.7978 2022/08/02 14:37:03 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 3.0000e-03 eta: 1 day, 16:26:34 time: 0.2928 data_time: 0.0203 memory: 8198 grad_norm: 5.8157 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.1235 loss: 3.1235 2022/08/02 14:37:09 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 3.0000e-03 eta: 1 day, 16:25:44 time: 0.2827 data_time: 0.0237 memory: 8198 grad_norm: 5.7563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9016 loss: 2.9016 2022/08/02 14:37:15 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 3.0000e-03 eta: 1 day, 16:24:54 time: 0.2833 data_time: 0.0214 memory: 8198 grad_norm: 5.8337 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9065 loss: 2.9065 2022/08/02 14:37:20 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 3.0000e-03 eta: 1 day, 16:24:05 time: 0.2831 data_time: 0.0194 memory: 8198 grad_norm: 5.8458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7950 loss: 2.7950 2022/08/02 14:37:26 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 3.0000e-03 eta: 1 day, 16:23:19 time: 0.2843 data_time: 0.0241 memory: 8198 grad_norm: 5.7830 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0226 loss: 3.0226 2022/08/02 14:37:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:37:32 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 3.0000e-03 eta: 1 day, 16:22:33 time: 0.2845 data_time: 0.0254 memory: 8198 grad_norm: 5.8523 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9305 loss: 2.9305 2022/08/02 14:37:38 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 3.0000e-03 eta: 1 day, 16:22:13 time: 0.2978 data_time: 0.0169 memory: 8198 grad_norm: 5.8742 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9269 loss: 2.9269 2022/08/02 14:37:43 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 3.0000e-03 eta: 1 day, 16:21:22 time: 0.2816 data_time: 0.0250 memory: 8198 grad_norm: 5.8075 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.2154 loss: 3.2154 2022/08/02 14:37:49 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 3.0000e-03 eta: 1 day, 16:20:31 time: 0.2813 data_time: 0.0215 memory: 8198 grad_norm: 5.8143 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9999 loss: 2.9999 2022/08/02 14:37:55 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 3.0000e-03 eta: 1 day, 16:19:59 time: 0.2916 data_time: 0.0246 memory: 8198 grad_norm: 5.8373 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.9901 loss: 2.9901 2022/08/02 14:38:00 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 3.0000e-03 eta: 1 day, 16:19:05 time: 0.2792 data_time: 0.0233 memory: 8198 grad_norm: 5.9276 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9322 loss: 2.9322 2022/08/02 14:38:06 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 3.0000e-03 eta: 1 day, 16:18:44 time: 0.2970 data_time: 0.0215 memory: 8198 grad_norm: 5.8923 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9785 loss: 2.9785 2022/08/02 14:38:12 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 3.0000e-03 eta: 1 day, 16:17:51 time: 0.2793 data_time: 0.0197 memory: 8198 grad_norm: 5.7702 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8198 loss: 2.8198 2022/08/02 14:38:18 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 3.0000e-03 eta: 1 day, 16:17:10 time: 0.2861 data_time: 0.0228 memory: 8198 grad_norm: 5.8608 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9201 loss: 2.9201 2022/08/02 14:38:23 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 3.0000e-03 eta: 1 day, 16:16:17 time: 0.2787 data_time: 0.0206 memory: 8198 grad_norm: 5.9008 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 3.0472 loss: 3.0472 2022/08/02 14:38:29 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 3.0000e-03 eta: 1 day, 16:15:24 time: 0.2791 data_time: 0.0197 memory: 8198 grad_norm: 5.7877 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8815 loss: 2.8815 2022/08/02 14:38:35 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 3.0000e-03 eta: 1 day, 16:14:56 time: 0.2924 data_time: 0.0235 memory: 8198 grad_norm: 5.7753 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6848 loss: 2.6848 2022/08/02 14:38:40 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 3.0000e-03 eta: 1 day, 16:14:03 time: 0.2789 data_time: 0.0237 memory: 8198 grad_norm: 5.8194 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 3.0825 loss: 3.0825 2022/08/02 14:38:46 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 3.0000e-03 eta: 1 day, 16:13:35 time: 0.2924 data_time: 0.0350 memory: 8198 grad_norm: 5.7990 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0909 loss: 3.0909 2022/08/02 14:38:52 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 3.0000e-03 eta: 1 day, 16:12:49 time: 0.2818 data_time: 0.0228 memory: 8198 grad_norm: 5.8372 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9726 loss: 2.9726 2022/08/02 14:38:58 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 3.0000e-03 eta: 1 day, 16:12:11 time: 0.2866 data_time: 0.0147 memory: 8198 grad_norm: 5.8898 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1336 loss: 3.1336 2022/08/02 14:39:03 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 3.0000e-03 eta: 1 day, 16:11:24 time: 0.2816 data_time: 0.0200 memory: 8198 grad_norm: 5.8350 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.8731 loss: 2.8731 2022/08/02 14:39:09 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 3.0000e-03 eta: 1 day, 16:10:32 time: 0.2779 data_time: 0.0248 memory: 8198 grad_norm: 5.8221 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 3.0749 loss: 3.0749 2022/08/02 14:39:15 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 3.0000e-03 eta: 1 day, 16:10:01 time: 0.2901 data_time: 0.0246 memory: 8198 grad_norm: 5.9513 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 2.8010 loss: 2.8010 2022/08/02 14:39:20 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 3.0000e-03 eta: 1 day, 16:09:04 time: 0.2751 data_time: 0.0189 memory: 8198 grad_norm: 5.8302 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7845 loss: 2.7845 2022/08/02 14:39:26 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 3.0000e-03 eta: 1 day, 16:08:19 time: 0.2820 data_time: 0.0271 memory: 8198 grad_norm: 5.9089 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8061 loss: 2.8061 2022/08/02 14:39:31 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 3.0000e-03 eta: 1 day, 16:07:33 time: 0.2807 data_time: 0.0211 memory: 8198 grad_norm: 5.8536 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7967 loss: 2.7967 2022/08/02 14:39:37 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 3.0000e-03 eta: 1 day, 16:07:00 time: 0.2886 data_time: 0.0233 memory: 8198 grad_norm: 5.8520 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0179 loss: 3.0179 2022/08/02 14:39:43 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 3.0000e-03 eta: 1 day, 16:06:08 time: 0.2768 data_time: 0.0274 memory: 8198 grad_norm: 5.9543 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 3.0237 loss: 3.0237 2022/08/02 14:39:48 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 3.0000e-03 eta: 1 day, 16:05:24 time: 0.2817 data_time: 0.0218 memory: 8198 grad_norm: 5.8417 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7300 loss: 2.7300 2022/08/02 14:39:54 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 3.0000e-03 eta: 1 day, 16:04:39 time: 0.2813 data_time: 0.0189 memory: 8198 grad_norm: 5.8971 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9389 loss: 2.9389 2022/08/02 14:40:00 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 3.0000e-03 eta: 1 day, 16:03:59 time: 0.2834 data_time: 0.0224 memory: 8198 grad_norm: 5.9080 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.8826 loss: 2.8826 2022/08/02 14:40:05 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 3.0000e-03 eta: 1 day, 16:03:22 time: 0.2853 data_time: 0.0229 memory: 8198 grad_norm: 6.0064 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0560 loss: 3.0560 2022/08/02 14:40:11 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 3.0000e-03 eta: 1 day, 16:02:46 time: 0.2860 data_time: 0.0249 memory: 8198 grad_norm: 5.9612 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.9082 loss: 2.9082 2022/08/02 14:40:17 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 3.0000e-03 eta: 1 day, 16:02:29 time: 0.2964 data_time: 0.0221 memory: 8198 grad_norm: 5.9027 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8997 loss: 2.8997 2022/08/02 14:40:22 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 3.0000e-03 eta: 1 day, 16:01:40 time: 0.2779 data_time: 0.0203 memory: 8198 grad_norm: 5.9773 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0102 loss: 3.0102 2022/08/02 14:40:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:40:27 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 3.0000e-03 eta: 1 day, 16:01:40 time: 0.2534 data_time: 0.0152 memory: 8198 grad_norm: 6.0449 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.9082 loss: 2.9082 2022/08/02 14:40:35 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 4.0000e-03 eta: 1 day, 15:56:15 time: 0.4050 data_time: 0.1103 memory: 8198 grad_norm: 5.9892 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8980 loss: 2.8980 2022/08/02 14:40:41 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 4.0000e-03 eta: 1 day, 15:55:31 time: 0.2796 data_time: 0.0204 memory: 8198 grad_norm: 5.9529 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7928 loss: 2.7928 2022/08/02 14:40:47 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 4.0000e-03 eta: 1 day, 15:54:53 time: 0.2834 data_time: 0.0242 memory: 8198 grad_norm: 5.8758 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9149 loss: 2.9149 2022/08/02 14:40:52 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 4.0000e-03 eta: 1 day, 15:54:13 time: 0.2814 data_time: 0.0203 memory: 8198 grad_norm: 5.9593 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7880 loss: 2.7880 2022/08/02 14:40:58 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 4.0000e-03 eta: 1 day, 15:53:52 time: 0.2935 data_time: 0.0176 memory: 8198 grad_norm: 5.9561 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7158 loss: 2.7158 2022/08/02 14:41:04 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 4.0000e-03 eta: 1 day, 15:53:04 time: 0.2765 data_time: 0.0206 memory: 8198 grad_norm: 6.0725 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.0731 loss: 3.0731 2022/08/02 14:41:09 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 4.0000e-03 eta: 1 day, 15:52:30 time: 0.2851 data_time: 0.0289 memory: 8198 grad_norm: 5.9360 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7676 loss: 2.7676 2022/08/02 14:41:15 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 4.0000e-03 eta: 1 day, 15:51:49 time: 0.2812 data_time: 0.0241 memory: 8198 grad_norm: 6.0351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8909 loss: 2.8909 2022/08/02 14:41:21 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 4.0000e-03 eta: 1 day, 15:51:25 time: 0.2908 data_time: 0.0423 memory: 8198 grad_norm: 6.0080 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6755 loss: 2.6755 2022/08/02 14:41:27 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 4.0000e-03 eta: 1 day, 15:51:44 time: 0.3171 data_time: 0.0647 memory: 8198 grad_norm: 5.8927 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.7843 loss: 2.7843 2022/08/02 14:41:33 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 4.0000e-03 eta: 1 day, 15:50:58 time: 0.2773 data_time: 0.0204 memory: 8198 grad_norm: 5.8682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7747 loss: 2.7747 2022/08/02 14:41:38 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 4.0000e-03 eta: 1 day, 15:50:28 time: 0.2873 data_time: 0.0232 memory: 8198 grad_norm: 5.9736 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7870 loss: 2.7870 2022/08/02 14:41:45 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 4.0000e-03 eta: 1 day, 15:51:17 time: 0.3359 data_time: 0.0826 memory: 8198 grad_norm: 5.9627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9508 loss: 2.9508 2022/08/02 14:41:51 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 4.0000e-03 eta: 1 day, 15:50:38 time: 0.2815 data_time: 0.0241 memory: 8198 grad_norm: 5.8426 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8221 loss: 2.8221 2022/08/02 14:41:57 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 4.0000e-03 eta: 1 day, 15:50:27 time: 0.2988 data_time: 0.0237 memory: 8198 grad_norm: 5.9353 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 3.0365 loss: 3.0365 2022/08/02 14:42:02 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 4.0000e-03 eta: 1 day, 15:49:44 time: 0.2788 data_time: 0.0195 memory: 8198 grad_norm: 5.8867 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.7230 loss: 2.7230 2022/08/02 14:42:08 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 4.0000e-03 eta: 1 day, 15:49:14 time: 0.2866 data_time: 0.0343 memory: 8198 grad_norm: 5.8994 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7648 loss: 2.7648 2022/08/02 14:42:14 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 4.0000e-03 eta: 1 day, 15:48:38 time: 0.2831 data_time: 0.0280 memory: 8198 grad_norm: 5.8673 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.9088 loss: 2.9088 2022/08/02 14:42:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:42:19 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 4.0000e-03 eta: 1 day, 15:48:03 time: 0.2830 data_time: 0.0325 memory: 8198 grad_norm: 5.8768 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.8245 loss: 2.8245 2022/08/02 14:42:26 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 4.0000e-03 eta: 1 day, 15:49:01 time: 0.3425 data_time: 0.0875 memory: 8198 grad_norm: 5.8957 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0561 loss: 3.0561 2022/08/02 14:42:32 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 4.0000e-03 eta: 1 day, 15:48:20 time: 0.2793 data_time: 0.0235 memory: 8198 grad_norm: 5.8447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8731 loss: 2.8731 2022/08/02 14:42:38 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 4.0000e-03 eta: 1 day, 15:47:42 time: 0.2817 data_time: 0.0208 memory: 8198 grad_norm: 5.8215 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.8418 loss: 2.8418 2022/08/02 14:42:43 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 4.0000e-03 eta: 1 day, 15:47:05 time: 0.2814 data_time: 0.0278 memory: 8198 grad_norm: 5.8353 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.8896 loss: 2.8896 2022/08/02 14:42:49 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 4.0000e-03 eta: 1 day, 15:46:33 time: 0.2851 data_time: 0.0244 memory: 8198 grad_norm: 5.9304 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.7816 loss: 2.7816 2022/08/02 14:42:55 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 4.0000e-03 eta: 1 day, 15:46:01 time: 0.2844 data_time: 0.0235 memory: 8198 grad_norm: 5.8640 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8789 loss: 2.8789 2022/08/02 14:43:00 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 4.0000e-03 eta: 1 day, 15:45:25 time: 0.2820 data_time: 0.0265 memory: 8198 grad_norm: 5.8648 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8060 loss: 2.8060 2022/08/02 14:43:06 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 4.0000e-03 eta: 1 day, 15:44:48 time: 0.2817 data_time: 0.0263 memory: 8198 grad_norm: 5.9239 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7831 loss: 2.7831 2022/08/02 14:43:12 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 4.0000e-03 eta: 1 day, 15:44:43 time: 0.3020 data_time: 0.0412 memory: 8198 grad_norm: 5.8959 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8451 loss: 2.8451 2022/08/02 14:43:17 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 4.0000e-03 eta: 1 day, 15:44:07 time: 0.2818 data_time: 0.0224 memory: 8198 grad_norm: 5.9047 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7145 loss: 2.7145 2022/08/02 14:43:23 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 4.0000e-03 eta: 1 day, 15:43:35 time: 0.2838 data_time: 0.0241 memory: 8198 grad_norm: 6.0398 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.9027 loss: 2.9027 2022/08/02 14:43:29 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 4.0000e-03 eta: 1 day, 15:43:11 time: 0.2893 data_time: 0.0232 memory: 8198 grad_norm: 6.0412 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8993 loss: 2.8993 2022/08/02 14:43:35 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 4.0000e-03 eta: 1 day, 15:42:32 time: 0.2798 data_time: 0.0235 memory: 8198 grad_norm: 5.9945 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.8536 loss: 2.8536 2022/08/02 14:43:40 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 4.0000e-03 eta: 1 day, 15:41:56 time: 0.2809 data_time: 0.0216 memory: 8198 grad_norm: 5.8996 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9553 loss: 2.9553 2022/08/02 14:43:46 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 4.0000e-03 eta: 1 day, 15:41:22 time: 0.2827 data_time: 0.0260 memory: 8198 grad_norm: 6.0060 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8988 loss: 2.8988 2022/08/02 14:43:52 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 4.0000e-03 eta: 1 day, 15:40:50 time: 0.2838 data_time: 0.0254 memory: 8198 grad_norm: 5.9886 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7883 loss: 2.7883 2022/08/02 14:43:57 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 4.0000e-03 eta: 1 day, 15:40:17 time: 0.2828 data_time: 0.0209 memory: 8198 grad_norm: 5.9800 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7847 loss: 2.7847 2022/08/02 14:44:04 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 4.0000e-03 eta: 1 day, 15:40:58 time: 0.3322 data_time: 0.0818 memory: 8198 grad_norm: 5.9402 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6141 loss: 2.6141 2022/08/02 14:44:09 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 4.0000e-03 eta: 1 day, 15:40:23 time: 0.2817 data_time: 0.0241 memory: 8198 grad_norm: 5.9868 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7556 loss: 2.7556 2022/08/02 14:44:15 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 4.0000e-03 eta: 1 day, 15:39:46 time: 0.2799 data_time: 0.0278 memory: 8198 grad_norm: 6.0003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9388 loss: 2.9388 2022/08/02 14:44:21 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 4.0000e-03 eta: 1 day, 15:39:04 time: 0.2762 data_time: 0.0219 memory: 8198 grad_norm: 5.8186 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.9009 loss: 2.9009 2022/08/02 14:44:26 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 4.0000e-03 eta: 1 day, 15:38:28 time: 0.2806 data_time: 0.0245 memory: 8198 grad_norm: 5.8179 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7956 loss: 2.7956 2022/08/02 14:44:32 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 4.0000e-03 eta: 1 day, 15:37:58 time: 0.2845 data_time: 0.0225 memory: 8198 grad_norm: 5.8697 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6760 loss: 2.6760 2022/08/02 14:44:37 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 4.0000e-03 eta: 1 day, 15:37:20 time: 0.2786 data_time: 0.0275 memory: 8198 grad_norm: 5.8801 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8566 loss: 2.8566 2022/08/02 14:44:43 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 4.0000e-03 eta: 1 day, 15:36:45 time: 0.2810 data_time: 0.0284 memory: 8198 grad_norm: 5.9274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9484 loss: 2.9484 2022/08/02 14:44:49 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 4.0000e-03 eta: 1 day, 15:36:27 time: 0.2922 data_time: 0.0226 memory: 8198 grad_norm: 5.9282 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8982 loss: 2.8982 2022/08/02 14:44:55 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 4.0000e-03 eta: 1 day, 15:36:01 time: 0.2863 data_time: 0.0208 memory: 8198 grad_norm: 5.9206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8124 loss: 2.8124 2022/08/02 14:45:00 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 4.0000e-03 eta: 1 day, 15:35:37 time: 0.2884 data_time: 0.0208 memory: 8198 grad_norm: 6.0110 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8560 loss: 2.8560 2022/08/02 14:45:06 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 4.0000e-03 eta: 1 day, 15:35:10 time: 0.2858 data_time: 0.0191 memory: 8198 grad_norm: 6.0244 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9145 loss: 2.9145 2022/08/02 14:45:12 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 4.0000e-03 eta: 1 day, 15:34:40 time: 0.2834 data_time: 0.0244 memory: 8198 grad_norm: 6.0396 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6398 loss: 2.6398 2022/08/02 14:45:17 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 4.0000e-03 eta: 1 day, 15:34:05 time: 0.2798 data_time: 0.0196 memory: 8198 grad_norm: 6.0416 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.8499 loss: 2.8499 2022/08/02 14:45:23 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 4.0000e-03 eta: 1 day, 15:33:29 time: 0.2798 data_time: 0.0232 memory: 8198 grad_norm: 6.0062 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7355 loss: 2.7355 2022/08/02 14:45:29 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 4.0000e-03 eta: 1 day, 15:33:02 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 5.9086 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.9004 loss: 2.9004 2022/08/02 14:45:34 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 4.0000e-03 eta: 1 day, 15:32:24 time: 0.2772 data_time: 0.0267 memory: 8198 grad_norm: 5.8374 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.8170 loss: 2.8170 2022/08/02 14:45:40 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 4.0000e-03 eta: 1 day, 15:31:48 time: 0.2788 data_time: 0.0262 memory: 8198 grad_norm: 5.9534 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6121 loss: 2.6121 2022/08/02 14:45:46 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 4.0000e-03 eta: 1 day, 15:31:37 time: 0.2962 data_time: 0.0219 memory: 8198 grad_norm: 5.8782 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.6295 loss: 2.6295 2022/08/02 14:45:51 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 4.0000e-03 eta: 1 day, 15:30:56 time: 0.2757 data_time: 0.0201 memory: 8198 grad_norm: 5.8813 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7873 loss: 2.7873 2022/08/02 14:45:57 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 4.0000e-03 eta: 1 day, 15:31:04 time: 0.3101 data_time: 0.0479 memory: 8198 grad_norm: 6.0542 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7403 loss: 2.7403 2022/08/02 14:46:03 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 4.0000e-03 eta: 1 day, 15:30:26 time: 0.2764 data_time: 0.0193 memory: 8198 grad_norm: 5.9281 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7447 loss: 2.7447 2022/08/02 14:46:09 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 4.0000e-03 eta: 1 day, 15:29:55 time: 0.2820 data_time: 0.0226 memory: 8198 grad_norm: 5.8992 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8638 loss: 2.8638 2022/08/02 14:46:14 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 4.0000e-03 eta: 1 day, 15:29:21 time: 0.2798 data_time: 0.0229 memory: 8198 grad_norm: 5.8960 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8810 loss: 2.8810 2022/08/02 14:46:20 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 4.0000e-03 eta: 1 day, 15:28:56 time: 0.2862 data_time: 0.0266 memory: 8198 grad_norm: 5.8686 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7964 loss: 2.7964 2022/08/02 14:46:26 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 4.0000e-03 eta: 1 day, 15:28:28 time: 0.2838 data_time: 0.0260 memory: 8198 grad_norm: 5.9731 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.6391 loss: 2.6391 2022/08/02 14:46:31 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 4.0000e-03 eta: 1 day, 15:27:56 time: 0.2806 data_time: 0.0219 memory: 8198 grad_norm: 5.9908 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7319 loss: 2.7319 2022/08/02 14:46:37 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 4.0000e-03 eta: 1 day, 15:27:48 time: 0.2981 data_time: 0.0453 memory: 8198 grad_norm: 5.9439 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 2.7269 loss: 2.7269 2022/08/02 14:46:43 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 4.0000e-03 eta: 1 day, 15:27:16 time: 0.2807 data_time: 0.0219 memory: 8198 grad_norm: 5.9547 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9864 loss: 2.9864 2022/08/02 14:46:49 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 4.0000e-03 eta: 1 day, 15:26:52 time: 0.2865 data_time: 0.0236 memory: 8198 grad_norm: 5.8796 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7572 loss: 2.7572 2022/08/02 14:46:54 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 4.0000e-03 eta: 1 day, 15:26:18 time: 0.2793 data_time: 0.0281 memory: 8198 grad_norm: 5.9916 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7533 loss: 2.7533 2022/08/02 14:47:00 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 4.0000e-03 eta: 1 day, 15:25:56 time: 0.2873 data_time: 0.0218 memory: 8198 grad_norm: 5.8516 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8531 loss: 2.8531 2022/08/02 14:47:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:47:06 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 4.0000e-03 eta: 1 day, 15:25:31 time: 0.2854 data_time: 0.0247 memory: 8198 grad_norm: 5.9354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6969 loss: 2.6969 2022/08/02 14:47:11 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 4.0000e-03 eta: 1 day, 15:24:58 time: 0.2792 data_time: 0.0230 memory: 8198 grad_norm: 5.9919 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9340 loss: 2.9340 2022/08/02 14:47:17 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 4.0000e-03 eta: 1 day, 15:24:37 time: 0.2883 data_time: 0.0270 memory: 8198 grad_norm: 5.9413 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.6959 loss: 2.6959 2022/08/02 14:47:23 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 4.0000e-03 eta: 1 day, 15:24:10 time: 0.2843 data_time: 0.0188 memory: 8198 grad_norm: 5.7945 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6552 loss: 2.6552 2022/08/02 14:47:28 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 4.0000e-03 eta: 1 day, 15:23:47 time: 0.2861 data_time: 0.0230 memory: 8198 grad_norm: 5.8572 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7530 loss: 2.7530 2022/08/02 14:47:34 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 4.0000e-03 eta: 1 day, 15:23:11 time: 0.2765 data_time: 0.0219 memory: 8198 grad_norm: 5.8912 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8613 loss: 2.8613 2022/08/02 14:47:40 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 4.0000e-03 eta: 1 day, 15:22:48 time: 0.2869 data_time: 0.0226 memory: 8198 grad_norm: 5.8376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6307 loss: 2.6307 2022/08/02 14:47:46 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 4.0000e-03 eta: 1 day, 15:22:50 time: 0.3049 data_time: 0.0264 memory: 8198 grad_norm: 6.0558 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6428 loss: 2.6428 2022/08/02 14:47:51 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 4.0000e-03 eta: 1 day, 15:22:13 time: 0.2755 data_time: 0.0175 memory: 8198 grad_norm: 5.9315 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.7254 loss: 2.7254 2022/08/02 14:47:57 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 4.0000e-03 eta: 1 day, 15:21:53 time: 0.2889 data_time: 0.0210 memory: 8198 grad_norm: 5.9339 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7426 loss: 2.7426 2022/08/02 14:48:03 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 4.0000e-03 eta: 1 day, 15:21:23 time: 0.2807 data_time: 0.0267 memory: 8198 grad_norm: 6.0572 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8537 loss: 2.8537 2022/08/02 14:48:08 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 4.0000e-03 eta: 1 day, 15:20:58 time: 0.2846 data_time: 0.0257 memory: 8198 grad_norm: 5.9790 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9347 loss: 2.9347 2022/08/02 14:48:14 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 4.0000e-03 eta: 1 day, 15:20:26 time: 0.2792 data_time: 0.0235 memory: 8198 grad_norm: 5.9835 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.7364 loss: 2.7364 2022/08/02 14:48:20 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 4.0000e-03 eta: 1 day, 15:19:56 time: 0.2801 data_time: 0.0239 memory: 8198 grad_norm: 5.7977 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.7591 loss: 2.7591 2022/08/02 14:48:26 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 4.0000e-03 eta: 1 day, 15:20:06 time: 0.3115 data_time: 0.0203 memory: 8198 grad_norm: 5.9788 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7363 loss: 2.7363 2022/08/02 14:48:31 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 4.0000e-03 eta: 1 day, 15:19:27 time: 0.2731 data_time: 0.0193 memory: 8198 grad_norm: 6.0196 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7985 loss: 2.7985 2022/08/02 14:48:38 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 4.0000e-03 eta: 1 day, 15:20:37 time: 0.3582 data_time: 0.0234 memory: 8198 grad_norm: 5.8939 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7375 loss: 2.7375 2022/08/02 14:48:44 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 4.0000e-03 eta: 1 day, 15:20:05 time: 0.2784 data_time: 0.0230 memory: 8198 grad_norm: 6.0262 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.6266 loss: 2.6266 2022/08/02 14:48:50 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 4.0000e-03 eta: 1 day, 15:19:44 time: 0.2871 data_time: 0.0256 memory: 8198 grad_norm: 6.0045 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8225 loss: 2.8225 2022/08/02 14:48:55 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 4.0000e-03 eta: 1 day, 15:19:16 time: 0.2816 data_time: 0.0180 memory: 8198 grad_norm: 5.9987 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5681 loss: 2.5681 2022/08/02 14:49:01 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 4.0000e-03 eta: 1 day, 15:18:46 time: 0.2805 data_time: 0.0213 memory: 8198 grad_norm: 6.0058 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6873 loss: 2.6873 2022/08/02 14:49:07 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 4.0000e-03 eta: 1 day, 15:18:18 time: 0.2814 data_time: 0.0206 memory: 8198 grad_norm: 6.0124 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.7838 loss: 2.7838 2022/08/02 14:49:12 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 4.0000e-03 eta: 1 day, 15:17:47 time: 0.2792 data_time: 0.0240 memory: 8198 grad_norm: 5.9517 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7349 loss: 2.7349 2022/08/02 14:49:18 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 4.0000e-03 eta: 1 day, 15:17:22 time: 0.2834 data_time: 0.0270 memory: 8198 grad_norm: 5.9709 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.7660 loss: 2.7660 2022/08/02 14:49:23 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 4.0000e-03 eta: 1 day, 15:16:54 time: 0.2812 data_time: 0.0250 memory: 8198 grad_norm: 5.9414 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8429 loss: 2.8429 2022/08/02 14:49:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:49:28 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 4.0000e-03 eta: 1 day, 15:16:54 time: 0.2582 data_time: 0.0192 memory: 8198 grad_norm: 6.0404 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.6031 loss: 2.6031 2022/08/02 14:49:28 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/02 14:49:38 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 5.0000e-03 eta: 1 day, 15:12:10 time: 0.3657 data_time: 0.1088 memory: 8198 grad_norm: 5.8647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4246 loss: 2.4246 2022/08/02 14:49:44 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 5.0000e-03 eta: 1 day, 15:11:37 time: 0.2764 data_time: 0.0152 memory: 8198 grad_norm: 6.0803 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7417 loss: 2.7417 2022/08/02 14:49:50 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 5.0000e-03 eta: 1 day, 15:11:44 time: 0.3084 data_time: 0.0232 memory: 8198 grad_norm: 5.9832 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5766 loss: 2.5766 2022/08/02 14:49:56 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 5.0000e-03 eta: 1 day, 15:11:14 time: 0.2792 data_time: 0.0229 memory: 8198 grad_norm: 6.0661 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.8173 loss: 2.8173 2022/08/02 14:50:02 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 5.0000e-03 eta: 1 day, 15:11:26 time: 0.3122 data_time: 0.0578 memory: 8198 grad_norm: 5.9589 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.8159 loss: 2.8159 2022/08/02 14:50:07 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 5.0000e-03 eta: 1 day, 15:11:02 time: 0.2833 data_time: 0.0217 memory: 8198 grad_norm: 6.0217 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.8274 loss: 2.8274 2022/08/02 14:50:13 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 5.0000e-03 eta: 1 day, 15:10:31 time: 0.2782 data_time: 0.0254 memory: 8198 grad_norm: 5.9174 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.6931 loss: 2.6931 2022/08/02 14:50:19 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 5.0000e-03 eta: 1 day, 15:10:04 time: 0.2807 data_time: 0.0198 memory: 8198 grad_norm: 6.0225 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.6230 loss: 2.6230 2022/08/02 14:50:24 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 5.0000e-03 eta: 1 day, 15:09:37 time: 0.2811 data_time: 0.0207 memory: 8198 grad_norm: 5.8325 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.5111 loss: 2.5111 2022/08/02 14:50:30 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 5.0000e-03 eta: 1 day, 15:09:17 time: 0.2858 data_time: 0.0201 memory: 8198 grad_norm: 5.9382 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.5886 loss: 2.5886 2022/08/02 14:50:36 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 5.0000e-03 eta: 1 day, 15:08:50 time: 0.2810 data_time: 0.0221 memory: 8198 grad_norm: 6.0311 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.8664 loss: 2.8664 2022/08/02 14:50:41 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 5.0000e-03 eta: 1 day, 15:08:24 time: 0.2812 data_time: 0.0241 memory: 8198 grad_norm: 6.0674 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8549 loss: 2.8549 2022/08/02 14:50:47 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 5.0000e-03 eta: 1 day, 15:08:36 time: 0.3122 data_time: 0.0573 memory: 8198 grad_norm: 5.8297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5110 loss: 2.5110 2022/08/02 14:50:53 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 5.0000e-03 eta: 1 day, 15:08:05 time: 0.2774 data_time: 0.0238 memory: 8198 grad_norm: 5.9447 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5528 loss: 2.5528 2022/08/02 14:50:59 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 5.0000e-03 eta: 1 day, 15:07:43 time: 0.2845 data_time: 0.0251 memory: 8198 grad_norm: 6.0286 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7700 loss: 2.7700 2022/08/02 14:51:04 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 5.0000e-03 eta: 1 day, 15:07:14 time: 0.2781 data_time: 0.0222 memory: 8198 grad_norm: 5.9016 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6735 loss: 2.6735 2022/08/02 14:51:10 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 5.0000e-03 eta: 1 day, 15:06:56 time: 0.2882 data_time: 0.0239 memory: 8198 grad_norm: 5.9065 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7717 loss: 2.7717 2022/08/02 14:51:16 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 5.0000e-03 eta: 1 day, 15:06:51 time: 0.2980 data_time: 0.0393 memory: 8198 grad_norm: 5.7600 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6360 loss: 2.6360 2022/08/02 14:51:22 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 5.0000e-03 eta: 1 day, 15:06:19 time: 0.2761 data_time: 0.0213 memory: 8198 grad_norm: 5.8507 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6591 loss: 2.6591 2022/08/02 14:51:27 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 5.0000e-03 eta: 1 day, 15:06:00 time: 0.2864 data_time: 0.0201 memory: 8198 grad_norm: 5.8582 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7665 loss: 2.7665 2022/08/02 14:51:33 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 5.0000e-03 eta: 1 day, 15:05:35 time: 0.2816 data_time: 0.0195 memory: 8198 grad_norm: 5.8784 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6027 loss: 2.6027 2022/08/02 14:51:39 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 5.0000e-03 eta: 1 day, 15:05:11 time: 0.2823 data_time: 0.0239 memory: 8198 grad_norm: 5.8957 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.6883 loss: 2.6883 2022/08/02 14:51:44 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 5.0000e-03 eta: 1 day, 15:04:42 time: 0.2783 data_time: 0.0232 memory: 8198 grad_norm: 5.8675 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7741 loss: 2.7741 2022/08/02 14:51:50 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 5.0000e-03 eta: 1 day, 15:04:26 time: 0.2886 data_time: 0.0289 memory: 8198 grad_norm: 5.8133 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4302 loss: 2.4302 2022/08/02 14:51:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:51:56 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 5.0000e-03 eta: 1 day, 15:04:09 time: 0.2883 data_time: 0.0224 memory: 8198 grad_norm: 5.8823 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5302 loss: 2.5302 2022/08/02 14:52:01 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 5.0000e-03 eta: 1 day, 15:03:43 time: 0.2801 data_time: 0.0256 memory: 8198 grad_norm: 5.9339 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5629 loss: 2.5629 2022/08/02 14:52:07 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 5.0000e-03 eta: 1 day, 15:03:30 time: 0.2911 data_time: 0.0209 memory: 8198 grad_norm: 5.9207 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.6718 loss: 2.6718 2022/08/02 14:52:13 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 5.0000e-03 eta: 1 day, 15:03:00 time: 0.2769 data_time: 0.0238 memory: 8198 grad_norm: 5.8720 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6431 loss: 2.6431 2022/08/02 14:52:18 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 5.0000e-03 eta: 1 day, 15:02:30 time: 0.2770 data_time: 0.0203 memory: 8198 grad_norm: 5.9299 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.6793 loss: 2.6793 2022/08/02 14:52:24 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 5.0000e-03 eta: 1 day, 15:02:09 time: 0.2841 data_time: 0.0218 memory: 8198 grad_norm: 6.0818 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6059 loss: 2.6059 2022/08/02 14:52:30 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 5.0000e-03 eta: 1 day, 15:01:56 time: 0.2911 data_time: 0.0249 memory: 8198 grad_norm: 5.8950 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7289 loss: 2.7289 2022/08/02 14:52:35 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 5.0000e-03 eta: 1 day, 15:01:33 time: 0.2826 data_time: 0.0228 memory: 8198 grad_norm: 5.9273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8544 loss: 2.8544 2022/08/02 14:52:41 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 5.0000e-03 eta: 1 day, 15:01:07 time: 0.2797 data_time: 0.0243 memory: 8198 grad_norm: 5.8952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7854 loss: 2.7854 2022/08/02 14:52:47 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 5.0000e-03 eta: 1 day, 15:00:46 time: 0.2840 data_time: 0.0271 memory: 8198 grad_norm: 5.6839 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7046 loss: 2.7046 2022/08/02 14:52:52 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 5.0000e-03 eta: 1 day, 15:00:28 time: 0.2860 data_time: 0.0237 memory: 8198 grad_norm: 5.8981 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7633 loss: 2.7633 2022/08/02 14:52:58 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 5.0000e-03 eta: 1 day, 15:00:00 time: 0.2782 data_time: 0.0202 memory: 8198 grad_norm: 5.8710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.6957 loss: 2.6957 2022/08/02 14:53:03 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 5.0000e-03 eta: 1 day, 14:59:34 time: 0.2795 data_time: 0.0224 memory: 8198 grad_norm: 5.9081 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6156 loss: 2.6156 2022/08/02 14:53:09 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 5.0000e-03 eta: 1 day, 14:59:12 time: 0.2828 data_time: 0.0220 memory: 8198 grad_norm: 6.0208 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7023 loss: 2.7023 2022/08/02 14:53:15 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 5.0000e-03 eta: 1 day, 14:58:51 time: 0.2833 data_time: 0.0198 memory: 8198 grad_norm: 5.9353 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.7118 loss: 2.7118 2022/08/02 14:53:21 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 5.0000e-03 eta: 1 day, 14:58:47 time: 0.2991 data_time: 0.0430 memory: 8198 grad_norm: 5.9067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6792 loss: 2.6792 2022/08/02 14:53:27 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 5.0000e-03 eta: 1 day, 14:58:31 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 5.9024 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5275 loss: 2.5275 2022/08/02 14:53:32 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 5.0000e-03 eta: 1 day, 14:58:03 time: 0.2773 data_time: 0.0214 memory: 8198 grad_norm: 5.9156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9245 loss: 2.9245 2022/08/02 14:53:38 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 5.0000e-03 eta: 1 day, 14:57:40 time: 0.2816 data_time: 0.0241 memory: 8198 grad_norm: 5.9133 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5861 loss: 2.5861 2022/08/02 14:53:44 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 5.0000e-03 eta: 1 day, 14:57:51 time: 0.3115 data_time: 0.0616 memory: 8198 grad_norm: 5.8520 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6011 loss: 2.6011 2022/08/02 14:53:50 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 5.0000e-03 eta: 1 day, 14:58:01 time: 0.3114 data_time: 0.0258 memory: 8198 grad_norm: 5.9848 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7463 loss: 2.7463 2022/08/02 14:53:56 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 5.0000e-03 eta: 1 day, 14:57:33 time: 0.2768 data_time: 0.0184 memory: 8198 grad_norm: 5.9024 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 2.7317 loss: 2.7317 2022/08/02 14:54:01 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 5.0000e-03 eta: 1 day, 14:57:18 time: 0.2887 data_time: 0.0264 memory: 8198 grad_norm: 5.7721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4155 loss: 2.4155 2022/08/02 14:54:07 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 5.0000e-03 eta: 1 day, 14:57:07 time: 0.2919 data_time: 0.0262 memory: 8198 grad_norm: 5.9067 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4307 loss: 2.4307 2022/08/02 14:54:13 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 5.0000e-03 eta: 1 day, 14:56:39 time: 0.2776 data_time: 0.0238 memory: 8198 grad_norm: 5.8736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7355 loss: 2.7355 2022/08/02 14:54:19 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 5.0000e-03 eta: 1 day, 14:56:18 time: 0.2829 data_time: 0.0199 memory: 8198 grad_norm: 5.9261 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.6012 loss: 2.6012 2022/08/02 14:54:24 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 5.0000e-03 eta: 1 day, 14:55:58 time: 0.2836 data_time: 0.0230 memory: 8198 grad_norm: 5.8909 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8594 loss: 2.8594 2022/08/02 14:54:30 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 5.0000e-03 eta: 1 day, 14:55:36 time: 0.2823 data_time: 0.0237 memory: 8198 grad_norm: 5.7983 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3541 loss: 2.3541 2022/08/02 14:54:36 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 5.0000e-03 eta: 1 day, 14:55:14 time: 0.2820 data_time: 0.0244 memory: 8198 grad_norm: 5.9194 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6888 loss: 2.6888 2022/08/02 14:54:42 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 5.0000e-03 eta: 1 day, 14:56:02 time: 0.3461 data_time: 0.0949 memory: 8198 grad_norm: 5.8465 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8921 loss: 2.8921 2022/08/02 14:54:48 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 5.0000e-03 eta: 1 day, 14:55:59 time: 0.2994 data_time: 0.0221 memory: 8198 grad_norm: 5.8690 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6277 loss: 2.6277 2022/08/02 14:54:54 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 5.0000e-03 eta: 1 day, 14:55:33 time: 0.2776 data_time: 0.0206 memory: 8198 grad_norm: 5.9093 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.7784 loss: 2.7784 2022/08/02 14:55:00 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 5.0000e-03 eta: 1 day, 14:55:14 time: 0.2846 data_time: 0.0239 memory: 8198 grad_norm: 5.9583 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5632 loss: 2.5632 2022/08/02 14:55:05 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 5.0000e-03 eta: 1 day, 14:54:46 time: 0.2767 data_time: 0.0203 memory: 8198 grad_norm: 5.8875 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5591 loss: 2.5591 2022/08/02 14:55:11 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 5.0000e-03 eta: 1 day, 14:54:36 time: 0.2932 data_time: 0.0259 memory: 8198 grad_norm: 5.9450 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6677 loss: 2.6677 2022/08/02 14:55:17 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 5.0000e-03 eta: 1 day, 14:54:13 time: 0.2803 data_time: 0.0194 memory: 8198 grad_norm: 5.7542 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4147 loss: 2.4147 2022/08/02 14:55:22 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 5.0000e-03 eta: 1 day, 14:53:47 time: 0.2779 data_time: 0.0205 memory: 8198 grad_norm: 5.7864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5661 loss: 2.5661 2022/08/02 14:55:28 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 5.0000e-03 eta: 1 day, 14:53:37 time: 0.2929 data_time: 0.0216 memory: 8198 grad_norm: 5.8185 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5247 loss: 2.5247 2022/08/02 14:55:34 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 5.0000e-03 eta: 1 day, 14:53:14 time: 0.2805 data_time: 0.0236 memory: 8198 grad_norm: 5.8847 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5945 loss: 2.5945 2022/08/02 14:55:39 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 5.0000e-03 eta: 1 day, 14:52:58 time: 0.2874 data_time: 0.0213 memory: 8198 grad_norm: 5.9349 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.8180 loss: 2.8180 2022/08/02 14:55:45 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 5.0000e-03 eta: 1 day, 14:52:41 time: 0.2863 data_time: 0.0246 memory: 8198 grad_norm: 5.8888 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6820 loss: 2.6820 2022/08/02 14:55:51 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 5.0000e-03 eta: 1 day, 14:52:17 time: 0.2789 data_time: 0.0192 memory: 8198 grad_norm: 5.8220 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6166 loss: 2.6166 2022/08/02 14:55:57 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 5.0000e-03 eta: 1 day, 14:52:08 time: 0.2939 data_time: 0.0252 memory: 8198 grad_norm: 5.8869 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7688 loss: 2.7688 2022/08/02 14:56:02 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 5.0000e-03 eta: 1 day, 14:51:43 time: 0.2781 data_time: 0.0275 memory: 8198 grad_norm: 5.7521 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.7944 loss: 2.7944 2022/08/02 14:56:08 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 5.0000e-03 eta: 1 day, 14:51:28 time: 0.2878 data_time: 0.0214 memory: 8198 grad_norm: 6.0239 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7872 loss: 2.7872 2022/08/02 14:56:14 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 5.0000e-03 eta: 1 day, 14:51:06 time: 0.2809 data_time: 0.0194 memory: 8198 grad_norm: 5.8188 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8208 loss: 2.8208 2022/08/02 14:56:19 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 5.0000e-03 eta: 1 day, 14:50:43 time: 0.2807 data_time: 0.0248 memory: 8198 grad_norm: 5.8528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5617 loss: 2.5617 2022/08/02 14:56:25 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 5.0000e-03 eta: 1 day, 14:50:20 time: 0.2801 data_time: 0.0192 memory: 8198 grad_norm: 5.7217 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6896 loss: 2.6896 2022/08/02 14:56:30 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 5.0000e-03 eta: 1 day, 14:49:57 time: 0.2798 data_time: 0.0270 memory: 8198 grad_norm: 5.7789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5826 loss: 2.5826 2022/08/02 14:56:36 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 5.0000e-03 eta: 1 day, 14:49:40 time: 0.2853 data_time: 0.0262 memory: 8198 grad_norm: 5.8640 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5458 loss: 2.5458 2022/08/02 14:56:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:56:42 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 5.0000e-03 eta: 1 day, 14:49:19 time: 0.2824 data_time: 0.0304 memory: 8198 grad_norm: 5.8417 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8262 loss: 2.8262 2022/08/02 14:56:47 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 5.0000e-03 eta: 1 day, 14:48:55 time: 0.2785 data_time: 0.0219 memory: 8198 grad_norm: 5.8391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4831 loss: 2.4831 2022/08/02 14:56:53 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 5.0000e-03 eta: 1 day, 14:48:40 time: 0.2869 data_time: 0.0289 memory: 8198 grad_norm: 5.9670 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.5999 loss: 2.5999 2022/08/02 14:56:59 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 5.0000e-03 eta: 1 day, 14:48:20 time: 0.2828 data_time: 0.0187 memory: 8198 grad_norm: 5.9506 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5688 loss: 2.5688 2022/08/02 14:57:05 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 5.0000e-03 eta: 1 day, 14:48:13 time: 0.2951 data_time: 0.0244 memory: 8198 grad_norm: 5.8256 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7159 loss: 2.7159 2022/08/02 14:57:10 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 5.0000e-03 eta: 1 day, 14:47:59 time: 0.2883 data_time: 0.0183 memory: 8198 grad_norm: 5.7086 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7515 loss: 2.7515 2022/08/02 14:57:16 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 5.0000e-03 eta: 1 day, 14:47:41 time: 0.2842 data_time: 0.0216 memory: 8198 grad_norm: 5.8095 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5987 loss: 2.5987 2022/08/02 14:57:22 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 5.0000e-03 eta: 1 day, 14:47:19 time: 0.2807 data_time: 0.0192 memory: 8198 grad_norm: 5.7995 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3789 loss: 2.3789 2022/08/02 14:57:27 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 5.0000e-03 eta: 1 day, 14:46:59 time: 0.2815 data_time: 0.0246 memory: 8198 grad_norm: 5.8615 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7479 loss: 2.7479 2022/08/02 14:57:33 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 5.0000e-03 eta: 1 day, 14:46:36 time: 0.2793 data_time: 0.0232 memory: 8198 grad_norm: 5.8266 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6158 loss: 2.6158 2022/08/02 14:57:39 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 5.0000e-03 eta: 1 day, 14:46:14 time: 0.2808 data_time: 0.0289 memory: 8198 grad_norm: 5.8995 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5573 loss: 2.5573 2022/08/02 14:57:44 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 5.0000e-03 eta: 1 day, 14:45:56 time: 0.2836 data_time: 0.0217 memory: 8198 grad_norm: 5.8951 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7027 loss: 2.7027 2022/08/02 14:57:50 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 5.0000e-03 eta: 1 day, 14:45:41 time: 0.2870 data_time: 0.0247 memory: 8198 grad_norm: 5.8040 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.6456 loss: 2.6456 2022/08/02 14:57:56 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 5.0000e-03 eta: 1 day, 14:45:31 time: 0.2918 data_time: 0.0372 memory: 8198 grad_norm: 5.6632 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6552 loss: 2.6552 2022/08/02 14:58:01 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 5.0000e-03 eta: 1 day, 14:45:12 time: 0.2825 data_time: 0.0251 memory: 8198 grad_norm: 5.7167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6216 loss: 2.6216 2022/08/02 14:58:07 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 5.0000e-03 eta: 1 day, 14:44:50 time: 0.2796 data_time: 0.0202 memory: 8198 grad_norm: 5.9613 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7480 loss: 2.7480 2022/08/02 14:58:13 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 5.0000e-03 eta: 1 day, 14:44:27 time: 0.2796 data_time: 0.0292 memory: 8198 grad_norm: 5.9702 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4849 loss: 2.4849 2022/08/02 14:58:19 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 5.0000e-03 eta: 1 day, 14:44:28 time: 0.3020 data_time: 0.0237 memory: 8198 grad_norm: 5.7544 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6015 loss: 2.6015 2022/08/02 14:58:24 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 5.0000e-03 eta: 1 day, 14:44:06 time: 0.2801 data_time: 0.0214 memory: 8198 grad_norm: 5.9446 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7501 loss: 2.7501 2022/08/02 14:58:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 14:58:29 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 5.0000e-03 eta: 1 day, 14:44:06 time: 0.2544 data_time: 0.0143 memory: 8198 grad_norm: 5.8644 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.6195 loss: 2.6195 2022/08/02 14:59:34 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:07:16 time: 3.2357 data_time: 3.1250 memory: 1514 2022/08/02 14:59:38 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:25 time: 0.2249 data_time: 0.1412 memory: 1514 2022/08/02 14:59:44 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:00:27 time: 0.2940 data_time: 0.2089 memory: 1514 2022/08/02 14:59:49 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:17 time: 0.2308 data_time: 0.1464 memory: 1514 2022/08/02 14:59:55 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:15 time: 0.2905 data_time: 0.2068 memory: 1514 2022/08/02 15:00:00 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:08 time: 0.2487 data_time: 0.1620 memory: 1514 2022/08/02 15:00:06 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:04 time: 0.3196 data_time: 0.2259 memory: 1514 2022/08/02 15:00:24 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.5105 acc/top5: 0.7658 acc/mean1: 0.5101 2022/08/02 15:00:26 - mmengine - INFO - The best checkpoint with 0.5105 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/02 15:00:33 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 6.0000e-03 eta: 1 day, 14:40:19 time: 0.3612 data_time: 0.1031 memory: 38353 grad_norm: 5.7772 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6133 loss: 2.6133 2022/08/02 15:00:39 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 6.0000e-03 eta: 1 day, 14:40:05 time: 0.2873 data_time: 0.0282 memory: 8198 grad_norm: 5.8073 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5914 loss: 2.5914 2022/08/02 15:00:45 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 6.0000e-03 eta: 1 day, 14:39:42 time: 0.2783 data_time: 0.0226 memory: 8198 grad_norm: 5.8745 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7046 loss: 2.7046 2022/08/02 15:00:50 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 6.0000e-03 eta: 1 day, 14:39:22 time: 0.2807 data_time: 0.0215 memory: 8198 grad_norm: 5.7665 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5146 loss: 2.5146 2022/08/02 15:00:56 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 6.0000e-03 eta: 1 day, 14:39:02 time: 0.2808 data_time: 0.0236 memory: 8198 grad_norm: 5.9005 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8757 loss: 2.8757 2022/08/02 15:01:02 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 6.0000e-03 eta: 1 day, 14:38:51 time: 0.2904 data_time: 0.0269 memory: 8198 grad_norm: 5.9353 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6620 loss: 2.6620 2022/08/02 15:01:07 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 6.0000e-03 eta: 1 day, 14:38:32 time: 0.2818 data_time: 0.0219 memory: 8198 grad_norm: 5.9236 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6646 loss: 2.6646 2022/08/02 15:01:13 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 6.0000e-03 eta: 1 day, 14:38:15 time: 0.2834 data_time: 0.0305 memory: 8198 grad_norm: 5.8209 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.4705 loss: 2.4705 2022/08/02 15:01:19 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 6.0000e-03 eta: 1 day, 14:37:55 time: 0.2811 data_time: 0.0244 memory: 8198 grad_norm: 5.8299 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6169 loss: 2.6169 2022/08/02 15:01:24 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 6.0000e-03 eta: 1 day, 14:37:30 time: 0.2749 data_time: 0.0187 memory: 8198 grad_norm: 5.7700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3931 loss: 2.3931 2022/08/02 15:01:31 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 6.0000e-03 eta: 1 day, 14:38:15 time: 0.3475 data_time: 0.0956 memory: 8198 grad_norm: 5.9182 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6283 loss: 2.6283 2022/08/02 15:01:37 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 6.0000e-03 eta: 1 day, 14:38:00 time: 0.2850 data_time: 0.0260 memory: 8198 grad_norm: 5.9390 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6519 loss: 2.6519 2022/08/02 15:01:42 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 6.0000e-03 eta: 1 day, 14:37:48 time: 0.2891 data_time: 0.0320 memory: 8198 grad_norm: 5.7988 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4936 loss: 2.4936 2022/08/02 15:01:48 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 6.0000e-03 eta: 1 day, 14:37:28 time: 0.2807 data_time: 0.0177 memory: 8198 grad_norm: 5.8114 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5794 loss: 2.5794 2022/08/02 15:01:54 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 6.0000e-03 eta: 1 day, 14:37:23 time: 0.2957 data_time: 0.0502 memory: 8198 grad_norm: 5.8454 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4660 loss: 2.4660 2022/08/02 15:02:00 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 6.0000e-03 eta: 1 day, 14:37:08 time: 0.2862 data_time: 0.0269 memory: 8198 grad_norm: 5.7561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5629 loss: 2.5629 2022/08/02 15:02:05 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 6.0000e-03 eta: 1 day, 14:36:48 time: 0.2802 data_time: 0.0246 memory: 8198 grad_norm: 5.8191 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5802 loss: 2.5802 2022/08/02 15:02:11 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 6.0000e-03 eta: 1 day, 14:36:41 time: 0.2937 data_time: 0.0358 memory: 8198 grad_norm: 5.7503 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3757 loss: 2.3757 2022/08/02 15:02:17 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 6.0000e-03 eta: 1 day, 14:36:24 time: 0.2832 data_time: 0.0224 memory: 8198 grad_norm: 5.9115 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7352 loss: 2.7352 2022/08/02 15:02:22 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 6.0000e-03 eta: 1 day, 14:36:03 time: 0.2793 data_time: 0.0199 memory: 8198 grad_norm: 5.9715 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.6293 loss: 2.6293 2022/08/02 15:02:28 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 6.0000e-03 eta: 1 day, 14:35:46 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 5.6791 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.5604 loss: 2.5604 2022/08/02 15:02:34 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 6.0000e-03 eta: 1 day, 14:35:30 time: 0.2845 data_time: 0.0301 memory: 8198 grad_norm: 5.7178 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5035 loss: 2.5035 2022/08/02 15:02:39 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 6.0000e-03 eta: 1 day, 14:35:13 time: 0.2824 data_time: 0.0238 memory: 8198 grad_norm: 5.8114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6590 loss: 2.6590 2022/08/02 15:02:45 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 6.0000e-03 eta: 1 day, 14:34:52 time: 0.2796 data_time: 0.0235 memory: 8198 grad_norm: 5.8346 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.5575 loss: 2.5575 2022/08/02 15:02:51 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 6.0000e-03 eta: 1 day, 14:34:35 time: 0.2831 data_time: 0.0242 memory: 8198 grad_norm: 5.8683 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4030 loss: 2.4030 2022/08/02 15:02:56 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 6.0000e-03 eta: 1 day, 14:34:19 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 5.9384 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5945 loss: 2.5945 2022/08/02 15:03:05 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 6.0000e-03 eta: 1 day, 14:36:21 time: 0.4298 data_time: 0.1730 memory: 8198 grad_norm: 5.7429 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6223 loss: 2.6223 2022/08/02 15:03:11 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 6.0000e-03 eta: 1 day, 14:36:09 time: 0.2880 data_time: 0.0247 memory: 8198 grad_norm: 5.7574 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.4304 loss: 2.4304 2022/08/02 15:03:16 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 6.0000e-03 eta: 1 day, 14:35:55 time: 0.2865 data_time: 0.0228 memory: 8198 grad_norm: 5.9924 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5897 loss: 2.5897 2022/08/02 15:03:22 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 6.0000e-03 eta: 1 day, 14:35:35 time: 0.2804 data_time: 0.0232 memory: 8198 grad_norm: 5.7101 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5928 loss: 2.5928 2022/08/02 15:03:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:03:28 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 6.0000e-03 eta: 1 day, 14:35:20 time: 0.2854 data_time: 0.0206 memory: 8198 grad_norm: 5.8349 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7768 loss: 2.7768 2022/08/02 15:03:33 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 6.0000e-03 eta: 1 day, 14:35:00 time: 0.2801 data_time: 0.0265 memory: 8198 grad_norm: 5.8305 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5711 loss: 2.5711 2022/08/02 15:03:39 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 6.0000e-03 eta: 1 day, 14:34:44 time: 0.2837 data_time: 0.0261 memory: 8198 grad_norm: 5.7315 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5924 loss: 2.5924 2022/08/02 15:03:45 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 6.0000e-03 eta: 1 day, 14:34:25 time: 0.2810 data_time: 0.0261 memory: 8198 grad_norm: 5.7778 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.7215 loss: 2.7215 2022/08/02 15:03:50 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 6.0000e-03 eta: 1 day, 14:34:08 time: 0.2826 data_time: 0.0239 memory: 8198 grad_norm: 5.7446 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.4802 loss: 2.4802 2022/08/02 15:03:56 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 6.0000e-03 eta: 1 day, 14:33:58 time: 0.2903 data_time: 0.0201 memory: 8198 grad_norm: 5.9125 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.7485 loss: 2.7485 2022/08/02 15:04:02 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 6.0000e-03 eta: 1 day, 14:33:38 time: 0.2796 data_time: 0.0269 memory: 8198 grad_norm: 5.8304 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3822 loss: 2.3822 2022/08/02 15:04:07 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 6.0000e-03 eta: 1 day, 14:33:20 time: 0.2818 data_time: 0.0242 memory: 8198 grad_norm: 5.5959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4007 loss: 2.4007 2022/08/02 15:04:13 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 6.0000e-03 eta: 1 day, 14:32:59 time: 0.2787 data_time: 0.0205 memory: 8198 grad_norm: 5.6958 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4802 loss: 2.4802 2022/08/02 15:04:19 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 6.0000e-03 eta: 1 day, 14:32:50 time: 0.2913 data_time: 0.0251 memory: 8198 grad_norm: 5.7162 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5649 loss: 2.5649 2022/08/02 15:04:24 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 6.0000e-03 eta: 1 day, 14:32:31 time: 0.2806 data_time: 0.0268 memory: 8198 grad_norm: 5.7835 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5492 loss: 2.5492 2022/08/02 15:04:30 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 6.0000e-03 eta: 1 day, 14:32:16 time: 0.2850 data_time: 0.0262 memory: 8198 grad_norm: 5.8485 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8745 loss: 2.8745 2022/08/02 15:04:36 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 6.0000e-03 eta: 1 day, 14:31:55 time: 0.2780 data_time: 0.0234 memory: 8198 grad_norm: 5.7261 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4242 loss: 2.4242 2022/08/02 15:04:41 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 6.0000e-03 eta: 1 day, 14:31:40 time: 0.2844 data_time: 0.0211 memory: 8198 grad_norm: 5.7028 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3413 loss: 2.3413 2022/08/02 15:04:48 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 6.0000e-03 eta: 1 day, 14:32:13 time: 0.3380 data_time: 0.0805 memory: 8198 grad_norm: 5.8079 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4708 loss: 2.4708 2022/08/02 15:04:54 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 6.0000e-03 eta: 1 day, 14:31:54 time: 0.2802 data_time: 0.0211 memory: 8198 grad_norm: 5.8566 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7652 loss: 2.7652 2022/08/02 15:04:59 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 6.0000e-03 eta: 1 day, 14:31:36 time: 0.2809 data_time: 0.0200 memory: 8198 grad_norm: 5.7918 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4291 loss: 2.4291 2022/08/02 15:05:05 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 6.0000e-03 eta: 1 day, 14:31:14 time: 0.2769 data_time: 0.0224 memory: 8198 grad_norm: 5.7702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4346 loss: 2.4346 2022/08/02 15:05:11 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 6.0000e-03 eta: 1 day, 14:31:03 time: 0.2889 data_time: 0.0271 memory: 8198 grad_norm: 5.7410 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5221 loss: 2.5221 2022/08/02 15:05:16 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 6.0000e-03 eta: 1 day, 14:30:47 time: 0.2841 data_time: 0.0215 memory: 8198 grad_norm: 5.7696 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3906 loss: 2.3906 2022/08/02 15:05:22 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 6.0000e-03 eta: 1 day, 14:30:32 time: 0.2843 data_time: 0.0172 memory: 8198 grad_norm: 5.6810 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.6527 loss: 2.6527 2022/08/02 15:05:28 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 6.0000e-03 eta: 1 day, 14:30:21 time: 0.2886 data_time: 0.0270 memory: 8198 grad_norm: 5.7899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.4319 loss: 2.4319 2022/08/02 15:05:33 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 6.0000e-03 eta: 1 day, 14:30:05 time: 0.2839 data_time: 0.0191 memory: 8198 grad_norm: 5.7426 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6161 loss: 2.6161 2022/08/02 15:05:39 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 6.0000e-03 eta: 1 day, 14:29:46 time: 0.2803 data_time: 0.0217 memory: 8198 grad_norm: 5.7301 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.5958 loss: 2.5958 2022/08/02 15:05:45 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 6.0000e-03 eta: 1 day, 14:29:25 time: 0.2774 data_time: 0.0234 memory: 8198 grad_norm: 5.8811 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5640 loss: 2.5640 2022/08/02 15:05:50 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 6.0000e-03 eta: 1 day, 14:29:10 time: 0.2846 data_time: 0.0202 memory: 8198 grad_norm: 5.8251 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6986 loss: 2.6986 2022/08/02 15:05:56 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 6.0000e-03 eta: 1 day, 14:28:54 time: 0.2830 data_time: 0.0196 memory: 8198 grad_norm: 5.6623 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4489 loss: 2.4489 2022/08/02 15:06:02 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 6.0000e-03 eta: 1 day, 14:28:42 time: 0.2874 data_time: 0.0220 memory: 8198 grad_norm: 5.7490 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4611 loss: 2.4611 2022/08/02 15:06:08 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 6.0000e-03 eta: 1 day, 14:28:37 time: 0.2948 data_time: 0.0285 memory: 8198 grad_norm: 5.9200 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5633 loss: 2.5633 2022/08/02 15:06:13 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 6.0000e-03 eta: 1 day, 14:28:19 time: 0.2817 data_time: 0.0252 memory: 8198 grad_norm: 5.7637 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4214 loss: 2.4214 2022/08/02 15:06:19 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 6.0000e-03 eta: 1 day, 14:28:02 time: 0.2813 data_time: 0.0253 memory: 8198 grad_norm: 5.6691 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2495 loss: 2.2495 2022/08/02 15:06:25 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 6.0000e-03 eta: 1 day, 14:27:46 time: 0.2835 data_time: 0.0245 memory: 8198 grad_norm: 5.8046 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6942 loss: 2.6942 2022/08/02 15:06:31 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 6.0000e-03 eta: 1 day, 14:27:48 time: 0.3033 data_time: 0.0298 memory: 8198 grad_norm: 5.7568 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3741 loss: 2.3741 2022/08/02 15:06:36 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 6.0000e-03 eta: 1 day, 14:27:27 time: 0.2767 data_time: 0.0228 memory: 8198 grad_norm: 5.8643 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6495 loss: 2.6495 2022/08/02 15:06:42 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 6.0000e-03 eta: 1 day, 14:27:09 time: 0.2811 data_time: 0.0249 memory: 8198 grad_norm: 5.7547 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.5616 loss: 2.5616 2022/08/02 15:06:48 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 6.0000e-03 eta: 1 day, 14:27:01 time: 0.2915 data_time: 0.0186 memory: 8198 grad_norm: 5.7655 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3895 loss: 2.3895 2022/08/02 15:06:53 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 6.0000e-03 eta: 1 day, 14:26:46 time: 0.2835 data_time: 0.0261 memory: 8198 grad_norm: 5.7861 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5495 loss: 2.5495 2022/08/02 15:06:59 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 6.0000e-03 eta: 1 day, 14:26:28 time: 0.2808 data_time: 0.0220 memory: 8198 grad_norm: 5.9020 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4975 loss: 2.4975 2022/08/02 15:07:05 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 6.0000e-03 eta: 1 day, 14:26:13 time: 0.2844 data_time: 0.0236 memory: 8198 grad_norm: 5.7628 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6894 loss: 2.6894 2022/08/02 15:07:10 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 6.0000e-03 eta: 1 day, 14:25:57 time: 0.2818 data_time: 0.0218 memory: 8198 grad_norm: 5.6689 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.8191 loss: 2.8191 2022/08/02 15:07:16 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 6.0000e-03 eta: 1 day, 14:25:38 time: 0.2798 data_time: 0.0263 memory: 8198 grad_norm: 5.6659 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2845 loss: 2.2845 2022/08/02 15:07:21 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 6.0000e-03 eta: 1 day, 14:25:19 time: 0.2791 data_time: 0.0228 memory: 8198 grad_norm: 5.7400 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4485 loss: 2.4485 2022/08/02 15:07:27 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 6.0000e-03 eta: 1 day, 14:25:21 time: 0.3029 data_time: 0.0202 memory: 8198 grad_norm: 5.8186 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.5128 loss: 2.5128 2022/08/02 15:07:33 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 6.0000e-03 eta: 1 day, 14:25:01 time: 0.2774 data_time: 0.0207 memory: 8198 grad_norm: 5.7125 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4585 loss: 2.4585 2022/08/02 15:07:39 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 6.0000e-03 eta: 1 day, 14:24:45 time: 0.2833 data_time: 0.0261 memory: 8198 grad_norm: 5.6810 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6258 loss: 2.6258 2022/08/02 15:07:44 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 6.0000e-03 eta: 1 day, 14:24:25 time: 0.2773 data_time: 0.0213 memory: 8198 grad_norm: 5.7291 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.4763 loss: 2.4763 2022/08/02 15:07:50 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 6.0000e-03 eta: 1 day, 14:24:18 time: 0.2925 data_time: 0.0276 memory: 8198 grad_norm: 5.8176 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4071 loss: 2.4071 2022/08/02 15:07:56 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 6.0000e-03 eta: 1 day, 14:23:59 time: 0.2787 data_time: 0.0166 memory: 8198 grad_norm: 5.8029 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4905 loss: 2.4905 2022/08/02 15:08:01 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 6.0000e-03 eta: 1 day, 14:23:42 time: 0.2811 data_time: 0.0292 memory: 8198 grad_norm: 5.7702 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6379 loss: 2.6379 2022/08/02 15:08:07 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 6.0000e-03 eta: 1 day, 14:23:27 time: 0.2840 data_time: 0.0248 memory: 8198 grad_norm: 5.7609 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7409 loss: 2.7409 2022/08/02 15:08:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:08:13 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 6.0000e-03 eta: 1 day, 14:23:12 time: 0.2832 data_time: 0.0269 memory: 8198 grad_norm: 5.8095 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.6810 loss: 2.6810 2022/08/02 15:08:18 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 6.0000e-03 eta: 1 day, 14:22:54 time: 0.2795 data_time: 0.0252 memory: 8198 grad_norm: 5.8732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3822 loss: 2.3822 2022/08/02 15:08:24 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 6.0000e-03 eta: 1 day, 14:22:35 time: 0.2795 data_time: 0.0240 memory: 8198 grad_norm: 5.7616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5562 loss: 2.5562 2022/08/02 15:08:29 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 6.0000e-03 eta: 1 day, 14:22:21 time: 0.2837 data_time: 0.0249 memory: 8198 grad_norm: 5.7445 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6359 loss: 2.6359 2022/08/02 15:08:35 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 6.0000e-03 eta: 1 day, 14:22:01 time: 0.2778 data_time: 0.0199 memory: 8198 grad_norm: 5.7985 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7821 loss: 2.7821 2022/08/02 15:08:41 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 6.0000e-03 eta: 1 day, 14:21:51 time: 0.2883 data_time: 0.0300 memory: 8198 grad_norm: 5.7602 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5735 loss: 2.5735 2022/08/02 15:08:46 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 6.0000e-03 eta: 1 day, 14:21:33 time: 0.2805 data_time: 0.0215 memory: 8198 grad_norm: 5.6942 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.4697 loss: 2.4697 2022/08/02 15:08:52 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 6.0000e-03 eta: 1 day, 14:21:14 time: 0.2780 data_time: 0.0187 memory: 8198 grad_norm: 5.6081 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6312 loss: 2.6312 2022/08/02 15:08:58 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 6.0000e-03 eta: 1 day, 14:21:03 time: 0.2870 data_time: 0.0236 memory: 8198 grad_norm: 5.7248 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3894 loss: 2.3894 2022/08/02 15:09:03 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 6.0000e-03 eta: 1 day, 14:20:43 time: 0.2777 data_time: 0.0237 memory: 8198 grad_norm: 5.7869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4114 loss: 2.4114 2022/08/02 15:09:09 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 6.0000e-03 eta: 1 day, 14:20:28 time: 0.2823 data_time: 0.0276 memory: 8198 grad_norm: 5.6308 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3930 loss: 2.3930 2022/08/02 15:09:15 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 6.0000e-03 eta: 1 day, 14:20:24 time: 0.2961 data_time: 0.0216 memory: 8198 grad_norm: 5.6460 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5793 loss: 2.5793 2022/08/02 15:09:21 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 6.0000e-03 eta: 1 day, 14:20:23 time: 0.3001 data_time: 0.0202 memory: 8198 grad_norm: 5.6323 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2775 loss: 2.2775 2022/08/02 15:09:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:09:26 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 6.0000e-03 eta: 1 day, 14:20:23 time: 0.2512 data_time: 0.0149 memory: 8198 grad_norm: 5.8101 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.4676 loss: 2.4676 2022/08/02 15:09:34 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 7.0000e-03 eta: 1 day, 14:17:54 time: 0.4073 data_time: 0.1166 memory: 8198 grad_norm: 5.7249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5806 loss: 2.5806 2022/08/02 15:09:40 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 7.0000e-03 eta: 1 day, 14:17:52 time: 0.2986 data_time: 0.0199 memory: 8198 grad_norm: 5.8031 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4756 loss: 2.4756 2022/08/02 15:09:46 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 7.0000e-03 eta: 1 day, 14:17:40 time: 0.2857 data_time: 0.0240 memory: 8198 grad_norm: 5.7888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5443 loss: 2.5443 2022/08/02 15:09:51 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 7.0000e-03 eta: 1 day, 14:17:25 time: 0.2834 data_time: 0.0198 memory: 8198 grad_norm: 5.6853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4773 loss: 2.4773 2022/08/02 15:09:57 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 7.0000e-03 eta: 1 day, 14:17:07 time: 0.2787 data_time: 0.0222 memory: 8198 grad_norm: 5.8361 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3338 loss: 2.3338 2022/08/02 15:10:02 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 7.0000e-03 eta: 1 day, 14:16:50 time: 0.2792 data_time: 0.0216 memory: 8198 grad_norm: 5.6922 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5008 loss: 2.5008 2022/08/02 15:10:08 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 7.0000e-03 eta: 1 day, 14:16:40 time: 0.2889 data_time: 0.0238 memory: 8198 grad_norm: 5.7846 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5845 loss: 2.5845 2022/08/02 15:10:14 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 7.0000e-03 eta: 1 day, 14:16:22 time: 0.2782 data_time: 0.0257 memory: 8198 grad_norm: 5.6145 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.5014 loss: 2.5014 2022/08/02 15:10:19 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 7.0000e-03 eta: 1 day, 14:16:09 time: 0.2849 data_time: 0.0283 memory: 8198 grad_norm: 5.7046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4217 loss: 2.4217 2022/08/02 15:10:25 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 7.0000e-03 eta: 1 day, 14:15:52 time: 0.2802 data_time: 0.0253 memory: 8198 grad_norm: 5.6494 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4071 loss: 2.4071 2022/08/02 15:10:31 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 7.0000e-03 eta: 1 day, 14:15:36 time: 0.2807 data_time: 0.0248 memory: 8198 grad_norm: 5.5015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5209 loss: 2.5209 2022/08/02 15:10:36 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 7.0000e-03 eta: 1 day, 14:15:18 time: 0.2783 data_time: 0.0218 memory: 8198 grad_norm: 5.6500 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5577 loss: 2.5577 2022/08/02 15:10:42 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 7.0000e-03 eta: 1 day, 14:15:02 time: 0.2813 data_time: 0.0253 memory: 8198 grad_norm: 5.5793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5191 loss: 2.5191 2022/08/02 15:10:48 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 7.0000e-03 eta: 1 day, 14:14:59 time: 0.2971 data_time: 0.0237 memory: 8198 grad_norm: 5.6229 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4190 loss: 2.4190 2022/08/02 15:10:53 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 7.0000e-03 eta: 1 day, 14:14:42 time: 0.2785 data_time: 0.0226 memory: 8198 grad_norm: 5.6643 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4017 loss: 2.4017 2022/08/02 15:10:59 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 7.0000e-03 eta: 1 day, 14:14:27 time: 0.2825 data_time: 0.0250 memory: 8198 grad_norm: 5.7836 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5136 loss: 2.5136 2022/08/02 15:11:05 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 7.0000e-03 eta: 1 day, 14:14:11 time: 0.2808 data_time: 0.0239 memory: 8198 grad_norm: 5.5849 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5000 loss: 2.5000 2022/08/02 15:11:10 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 7.0000e-03 eta: 1 day, 14:13:53 time: 0.2781 data_time: 0.0237 memory: 8198 grad_norm: 5.6491 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4509 loss: 2.4509 2022/08/02 15:11:17 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 7.0000e-03 eta: 1 day, 14:14:14 time: 0.3269 data_time: 0.0757 memory: 8198 grad_norm: 5.6873 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.4548 loss: 2.4548 2022/08/02 15:11:22 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 7.0000e-03 eta: 1 day, 14:14:03 time: 0.2872 data_time: 0.0259 memory: 8198 grad_norm: 5.6604 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.4985 loss: 2.4985 2022/08/02 15:11:28 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 7.0000e-03 eta: 1 day, 14:13:45 time: 0.2781 data_time: 0.0308 memory: 8198 grad_norm: 5.6276 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6643 loss: 2.6643 2022/08/02 15:11:34 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 7.0000e-03 eta: 1 day, 14:13:29 time: 0.2798 data_time: 0.0214 memory: 8198 grad_norm: 5.6189 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.5855 loss: 2.5855 2022/08/02 15:11:39 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 7.0000e-03 eta: 1 day, 14:13:13 time: 0.2807 data_time: 0.0217 memory: 8198 grad_norm: 5.5898 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6189 loss: 2.6189 2022/08/02 15:11:45 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 7.0000e-03 eta: 1 day, 14:12:55 time: 0.2785 data_time: 0.0286 memory: 8198 grad_norm: 5.7501 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4677 loss: 2.4677 2022/08/02 15:11:50 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 7.0000e-03 eta: 1 day, 14:12:41 time: 0.2822 data_time: 0.0215 memory: 8198 grad_norm: 5.6796 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.5323 loss: 2.5323 2022/08/02 15:11:56 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 7.0000e-03 eta: 1 day, 14:12:28 time: 0.2844 data_time: 0.0237 memory: 8198 grad_norm: 5.6876 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4672 loss: 2.4672 2022/08/02 15:12:02 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 7.0000e-03 eta: 1 day, 14:12:10 time: 0.2784 data_time: 0.0224 memory: 8198 grad_norm: 5.5714 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4062 loss: 2.4062 2022/08/02 15:12:08 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 7.0000e-03 eta: 1 day, 14:12:07 time: 0.2961 data_time: 0.0257 memory: 8198 grad_norm: 5.6077 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4793 loss: 2.4793 2022/08/02 15:12:13 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 7.0000e-03 eta: 1 day, 14:11:57 time: 0.2882 data_time: 0.0235 memory: 8198 grad_norm: 5.5863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5507 loss: 2.5507 2022/08/02 15:12:19 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 7.0000e-03 eta: 1 day, 14:11:48 time: 0.2896 data_time: 0.0228 memory: 8198 grad_norm: 5.6907 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5588 loss: 2.5588 2022/08/02 15:12:25 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 7.0000e-03 eta: 1 day, 14:11:35 time: 0.2834 data_time: 0.0225 memory: 8198 grad_norm: 5.6272 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4014 loss: 2.4014 2022/08/02 15:12:31 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 7.0000e-03 eta: 1 day, 14:11:28 time: 0.2917 data_time: 0.0208 memory: 8198 grad_norm: 5.6982 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6744 loss: 2.6744 2022/08/02 15:12:36 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 7.0000e-03 eta: 1 day, 14:11:09 time: 0.2771 data_time: 0.0237 memory: 8198 grad_norm: 5.6741 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5361 loss: 2.5361 2022/08/02 15:12:42 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 7.0000e-03 eta: 1 day, 14:10:54 time: 0.2814 data_time: 0.0253 memory: 8198 grad_norm: 5.6619 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3824 loss: 2.3824 2022/08/02 15:12:48 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 7.0000e-03 eta: 1 day, 14:10:48 time: 0.2923 data_time: 0.0265 memory: 8198 grad_norm: 5.7498 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3895 loss: 2.3895 2022/08/02 15:12:53 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 7.0000e-03 eta: 1 day, 14:10:39 time: 0.2892 data_time: 0.0187 memory: 8198 grad_norm: 5.6560 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4565 loss: 2.4565 2022/08/02 15:12:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:12:59 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 7.0000e-03 eta: 1 day, 14:10:22 time: 0.2792 data_time: 0.0239 memory: 8198 grad_norm: 5.5742 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4411 loss: 2.4411 2022/08/02 15:13:05 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 7.0000e-03 eta: 1 day, 14:10:06 time: 0.2800 data_time: 0.0209 memory: 8198 grad_norm: 5.5302 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4858 loss: 2.4858 2022/08/02 15:13:11 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 7.0000e-03 eta: 1 day, 14:10:05 time: 0.2986 data_time: 0.0242 memory: 8198 grad_norm: 5.5288 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5219 loss: 2.5219 2022/08/02 15:13:16 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 7.0000e-03 eta: 1 day, 14:09:47 time: 0.2770 data_time: 0.0266 memory: 8198 grad_norm: 5.5521 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3538 loss: 2.3538 2022/08/02 15:13:22 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 7.0000e-03 eta: 1 day, 14:09:29 time: 0.2773 data_time: 0.0261 memory: 8198 grad_norm: 5.7614 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5047 loss: 2.5047 2022/08/02 15:13:28 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 7.0000e-03 eta: 1 day, 14:09:21 time: 0.2905 data_time: 0.0237 memory: 8198 grad_norm: 5.5997 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6044 loss: 2.6044 2022/08/02 15:13:33 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 7.0000e-03 eta: 1 day, 14:09:04 time: 0.2780 data_time: 0.0276 memory: 8198 grad_norm: 5.6537 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5103 loss: 2.5103 2022/08/02 15:13:39 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 7.0000e-03 eta: 1 day, 14:08:47 time: 0.2789 data_time: 0.0243 memory: 8198 grad_norm: 5.6903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6026 loss: 2.6026 2022/08/02 15:13:44 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 7.0000e-03 eta: 1 day, 14:08:33 time: 0.2822 data_time: 0.0204 memory: 8198 grad_norm: 5.7393 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4407 loss: 2.4407 2022/08/02 15:13:50 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 7.0000e-03 eta: 1 day, 14:08:26 time: 0.2912 data_time: 0.0263 memory: 8198 grad_norm: 5.6241 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5297 loss: 2.5297 2022/08/02 15:13:56 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 7.0000e-03 eta: 1 day, 14:08:16 time: 0.2874 data_time: 0.0253 memory: 8198 grad_norm: 5.5464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6297 loss: 2.6297 2022/08/02 15:14:02 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 7.0000e-03 eta: 1 day, 14:08:02 time: 0.2823 data_time: 0.0191 memory: 8198 grad_norm: 5.5987 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4909 loss: 2.4909 2022/08/02 15:14:07 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 7.0000e-03 eta: 1 day, 14:07:48 time: 0.2825 data_time: 0.0279 memory: 8198 grad_norm: 5.6224 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4862 loss: 2.4862 2022/08/02 15:14:13 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 7.0000e-03 eta: 1 day, 14:07:34 time: 0.2825 data_time: 0.0195 memory: 8198 grad_norm: 5.6547 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.6776 loss: 2.6776 2022/08/02 15:14:18 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 7.0000e-03 eta: 1 day, 14:07:16 time: 0.2763 data_time: 0.0253 memory: 8198 grad_norm: 5.6550 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5211 loss: 2.5211 2022/08/02 15:14:24 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 7.0000e-03 eta: 1 day, 14:07:01 time: 0.2811 data_time: 0.0189 memory: 8198 grad_norm: 5.5416 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4572 loss: 2.4572 2022/08/02 15:14:30 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 7.0000e-03 eta: 1 day, 14:06:51 time: 0.2870 data_time: 0.0271 memory: 8198 grad_norm: 5.6331 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4728 loss: 2.4728 2022/08/02 15:14:35 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 7.0000e-03 eta: 1 day, 14:06:35 time: 0.2795 data_time: 0.0211 memory: 8198 grad_norm: 5.6467 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6745 loss: 2.6745 2022/08/02 15:14:41 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 7.0000e-03 eta: 1 day, 14:06:23 time: 0.2851 data_time: 0.0252 memory: 8198 grad_norm: 5.6638 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4898 loss: 2.4898 2022/08/02 15:14:47 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 7.0000e-03 eta: 1 day, 14:06:12 time: 0.2864 data_time: 0.0216 memory: 8198 grad_norm: 5.6394 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6516 loss: 2.6516 2022/08/02 15:14:53 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 7.0000e-03 eta: 1 day, 14:06:04 time: 0.2899 data_time: 0.0207 memory: 8198 grad_norm: 5.6394 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5162 loss: 2.5162 2022/08/02 15:14:58 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 7.0000e-03 eta: 1 day, 14:05:51 time: 0.2826 data_time: 0.0223 memory: 8198 grad_norm: 5.6612 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5196 loss: 2.5196 2022/08/02 15:15:04 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 7.0000e-03 eta: 1 day, 14:05:37 time: 0.2818 data_time: 0.0178 memory: 8198 grad_norm: 5.6069 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5689 loss: 2.5689 2022/08/02 15:15:10 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 7.0000e-03 eta: 1 day, 14:05:36 time: 0.2989 data_time: 0.0226 memory: 8198 grad_norm: 5.6681 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4111 loss: 2.4111 2022/08/02 15:15:15 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 7.0000e-03 eta: 1 day, 14:05:22 time: 0.2825 data_time: 0.0211 memory: 8198 grad_norm: 5.6499 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2348 loss: 2.2348 2022/08/02 15:15:21 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 7.0000e-03 eta: 1 day, 14:05:18 time: 0.2943 data_time: 0.0204 memory: 8198 grad_norm: 5.5811 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3037 loss: 2.3037 2022/08/02 15:15:27 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 7.0000e-03 eta: 1 day, 14:05:03 time: 0.2813 data_time: 0.0248 memory: 8198 grad_norm: 5.5069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4622 loss: 2.4622 2022/08/02 15:15:33 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 7.0000e-03 eta: 1 day, 14:05:08 time: 0.3064 data_time: 0.0197 memory: 8198 grad_norm: 5.6111 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4598 loss: 2.4598 2022/08/02 15:15:39 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 7.0000e-03 eta: 1 day, 14:04:51 time: 0.2783 data_time: 0.0225 memory: 8198 grad_norm: 5.5276 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4349 loss: 2.4349 2022/08/02 15:15:44 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 7.0000e-03 eta: 1 day, 14:04:36 time: 0.2795 data_time: 0.0218 memory: 8198 grad_norm: 5.4618 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4480 loss: 2.4480 2022/08/02 15:15:50 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 7.0000e-03 eta: 1 day, 14:04:27 time: 0.2887 data_time: 0.0244 memory: 8198 grad_norm: 5.5973 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4119 loss: 2.4119 2022/08/02 15:15:56 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 7.0000e-03 eta: 1 day, 14:04:13 time: 0.2815 data_time: 0.0212 memory: 8198 grad_norm: 5.6761 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4805 loss: 2.4805 2022/08/02 15:16:01 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 7.0000e-03 eta: 1 day, 14:03:57 time: 0.2790 data_time: 0.0219 memory: 8198 grad_norm: 5.6098 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.7545 loss: 2.7545 2022/08/02 15:16:07 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 7.0000e-03 eta: 1 day, 14:03:42 time: 0.2810 data_time: 0.0208 memory: 8198 grad_norm: 5.6682 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.5488 loss: 2.5488 2022/08/02 15:16:13 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 7.0000e-03 eta: 1 day, 14:03:46 time: 0.3048 data_time: 0.0188 memory: 8198 grad_norm: 5.5524 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3968 loss: 2.3968 2022/08/02 15:16:19 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 7.0000e-03 eta: 1 day, 14:03:29 time: 0.2787 data_time: 0.0209 memory: 8198 grad_norm: 5.6267 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.5194 loss: 2.5194 2022/08/02 15:16:24 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 7.0000e-03 eta: 1 day, 14:03:19 time: 0.2857 data_time: 0.0263 memory: 8198 grad_norm: 5.5402 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5221 loss: 2.5221 2022/08/02 15:16:30 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 7.0000e-03 eta: 1 day, 14:03:10 time: 0.2890 data_time: 0.0210 memory: 8198 grad_norm: 5.6936 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6740 loss: 2.6740 2022/08/02 15:16:36 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 7.0000e-03 eta: 1 day, 14:02:55 time: 0.2806 data_time: 0.0258 memory: 8198 grad_norm: 5.4210 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3604 loss: 2.3604 2022/08/02 15:16:41 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 7.0000e-03 eta: 1 day, 14:02:46 time: 0.2877 data_time: 0.0218 memory: 8198 grad_norm: 5.5450 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4395 loss: 2.4395 2022/08/02 15:16:47 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 7.0000e-03 eta: 1 day, 14:02:31 time: 0.2792 data_time: 0.0218 memory: 8198 grad_norm: 5.4869 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4831 loss: 2.4831 2022/08/02 15:16:53 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 7.0000e-03 eta: 1 day, 14:02:20 time: 0.2867 data_time: 0.0209 memory: 8198 grad_norm: 5.5936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1853 loss: 2.1853 2022/08/02 15:16:59 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 7.0000e-03 eta: 1 day, 14:02:11 time: 0.2875 data_time: 0.0265 memory: 8198 grad_norm: 5.6478 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3035 loss: 2.3035 2022/08/02 15:17:04 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 7.0000e-03 eta: 1 day, 14:01:55 time: 0.2786 data_time: 0.0198 memory: 8198 grad_norm: 5.5047 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5659 loss: 2.5659 2022/08/02 15:17:10 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 7.0000e-03 eta: 1 day, 14:01:39 time: 0.2787 data_time: 0.0256 memory: 8198 grad_norm: 5.5712 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3423 loss: 2.3423 2022/08/02 15:17:16 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 7.0000e-03 eta: 1 day, 14:01:35 time: 0.2953 data_time: 0.0235 memory: 8198 grad_norm: 5.5784 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2337 loss: 2.2337 2022/08/02 15:17:21 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 7.0000e-03 eta: 1 day, 14:01:21 time: 0.2801 data_time: 0.0199 memory: 8198 grad_norm: 5.6528 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7216 loss: 2.7216 2022/08/02 15:17:27 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 7.0000e-03 eta: 1 day, 14:01:08 time: 0.2835 data_time: 0.0240 memory: 8198 grad_norm: 5.5677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4400 loss: 2.4400 2022/08/02 15:17:33 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 7.0000e-03 eta: 1 day, 14:00:58 time: 0.2858 data_time: 0.0228 memory: 8198 grad_norm: 5.4776 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3509 loss: 2.3509 2022/08/02 15:17:38 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 7.0000e-03 eta: 1 day, 14:00:44 time: 0.2814 data_time: 0.0249 memory: 8198 grad_norm: 5.4797 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5366 loss: 2.5366 2022/08/02 15:17:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:17:44 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 7.0000e-03 eta: 1 day, 14:00:34 time: 0.2872 data_time: 0.0284 memory: 8198 grad_norm: 5.5037 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4132 loss: 2.4132 2022/08/02 15:17:50 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 7.0000e-03 eta: 1 day, 14:00:25 time: 0.2869 data_time: 0.0253 memory: 8198 grad_norm: 5.5036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3558 loss: 2.3558 2022/08/02 15:17:55 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 7.0000e-03 eta: 1 day, 14:00:12 time: 0.2825 data_time: 0.0245 memory: 8198 grad_norm: 5.4807 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3178 loss: 2.3178 2022/08/02 15:18:01 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 7.0000e-03 eta: 1 day, 13:59:56 time: 0.2783 data_time: 0.0246 memory: 8198 grad_norm: 5.5545 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6619 loss: 2.6619 2022/08/02 15:18:07 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 7.0000e-03 eta: 1 day, 13:59:43 time: 0.2826 data_time: 0.0256 memory: 8198 grad_norm: 5.5415 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3994 loss: 2.3994 2022/08/02 15:18:12 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 7.0000e-03 eta: 1 day, 13:59:33 time: 0.2869 data_time: 0.0210 memory: 8198 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3414 loss: 2.3414 2022/08/02 15:18:18 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 7.0000e-03 eta: 1 day, 13:59:20 time: 0.2818 data_time: 0.0236 memory: 8198 grad_norm: 5.6212 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6334 loss: 2.6334 2022/08/02 15:18:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:18:23 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 7.0000e-03 eta: 1 day, 13:59:20 time: 0.2545 data_time: 0.0131 memory: 8198 grad_norm: 5.6373 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.4905 loss: 2.4905 2022/08/02 15:18:31 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 8.0000e-03 eta: 1 day, 13:57:06 time: 0.3980 data_time: 0.0950 memory: 8198 grad_norm: 5.4702 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6319 loss: 2.6319 2022/08/02 15:18:36 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 8.0000e-03 eta: 1 day, 13:56:53 time: 0.2811 data_time: 0.0152 memory: 8198 grad_norm: 5.5725 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2920 loss: 2.2920 2022/08/02 15:18:42 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 8.0000e-03 eta: 1 day, 13:56:41 time: 0.2841 data_time: 0.0259 memory: 8198 grad_norm: 5.5919 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3352 loss: 2.3352 2022/08/02 15:18:48 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 8.0000e-03 eta: 1 day, 13:56:33 time: 0.2879 data_time: 0.0184 memory: 8198 grad_norm: 5.5519 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4917 loss: 2.4917 2022/08/02 15:18:53 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 8.0000e-03 eta: 1 day, 13:56:20 time: 0.2817 data_time: 0.0242 memory: 8198 grad_norm: 5.5207 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5760 loss: 2.5760 2022/08/02 15:18:59 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 8.0000e-03 eta: 1 day, 13:56:07 time: 0.2830 data_time: 0.0233 memory: 8198 grad_norm: 5.5552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3848 loss: 2.3848 2022/08/02 15:19:05 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 8.0000e-03 eta: 1 day, 13:55:54 time: 0.2814 data_time: 0.0241 memory: 8198 grad_norm: 5.5447 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4744 loss: 2.4744 2022/08/02 15:19:10 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 8.0000e-03 eta: 1 day, 13:55:42 time: 0.2827 data_time: 0.0236 memory: 8198 grad_norm: 5.5002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4300 loss: 2.4300 2022/08/02 15:19:16 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 8.0000e-03 eta: 1 day, 13:55:27 time: 0.2792 data_time: 0.0211 memory: 8198 grad_norm: 5.5286 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3007 loss: 2.3007 2022/08/02 15:19:22 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 8.0000e-03 eta: 1 day, 13:55:17 time: 0.2868 data_time: 0.0213 memory: 8198 grad_norm: 5.5341 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5443 loss: 2.5443 2022/08/02 15:19:27 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 8.0000e-03 eta: 1 day, 13:55:02 time: 0.2775 data_time: 0.0228 memory: 8198 grad_norm: 5.5007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5070 loss: 2.5070 2022/08/02 15:19:33 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 8.0000e-03 eta: 1 day, 13:55:00 time: 0.2985 data_time: 0.0244 memory: 8198 grad_norm: 5.3899 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5117 loss: 2.5117 2022/08/02 15:19:39 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 8.0000e-03 eta: 1 day, 13:54:45 time: 0.2788 data_time: 0.0231 memory: 8198 grad_norm: 5.5070 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3732 loss: 2.3732 2022/08/02 15:19:45 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 8.0000e-03 eta: 1 day, 13:54:34 time: 0.2845 data_time: 0.0304 memory: 8198 grad_norm: 5.6889 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6531 loss: 2.6531 2022/08/02 15:19:50 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 8.0000e-03 eta: 1 day, 13:54:33 time: 0.2987 data_time: 0.0242 memory: 8198 grad_norm: 5.4355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2738 loss: 2.2738 2022/08/02 15:19:56 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 8.0000e-03 eta: 1 day, 13:54:16 time: 0.2755 data_time: 0.0203 memory: 8198 grad_norm: 5.5161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4370 loss: 2.4370 2022/08/02 15:20:02 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 8.0000e-03 eta: 1 day, 13:54:07 time: 0.2869 data_time: 0.0230 memory: 8198 grad_norm: 5.4358 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4968 loss: 2.4968 2022/08/02 15:20:07 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 8.0000e-03 eta: 1 day, 13:53:57 time: 0.2866 data_time: 0.0234 memory: 8198 grad_norm: 5.6473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5931 loss: 2.5931 2022/08/02 15:20:13 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 8.0000e-03 eta: 1 day, 13:53:45 time: 0.2827 data_time: 0.0265 memory: 8198 grad_norm: 5.4390 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4527 loss: 2.4527 2022/08/02 15:20:19 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 8.0000e-03 eta: 1 day, 13:53:34 time: 0.2839 data_time: 0.0224 memory: 8198 grad_norm: 5.5441 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4667 loss: 2.4667 2022/08/02 15:20:24 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 8.0000e-03 eta: 1 day, 13:53:21 time: 0.2819 data_time: 0.0230 memory: 8198 grad_norm: 5.4823 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5032 loss: 2.5032 2022/08/02 15:20:30 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 8.0000e-03 eta: 1 day, 13:53:07 time: 0.2799 data_time: 0.0187 memory: 8198 grad_norm: 5.4552 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5259 loss: 2.5259 2022/08/02 15:20:36 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 8.0000e-03 eta: 1 day, 13:52:55 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 5.5831 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4709 loss: 2.4709 2022/08/02 15:20:41 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 8.0000e-03 eta: 1 day, 13:52:45 time: 0.2859 data_time: 0.0215 memory: 8198 grad_norm: 5.4438 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2636 loss: 2.2636 2022/08/02 15:20:47 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 8.0000e-03 eta: 1 day, 13:52:33 time: 0.2817 data_time: 0.0250 memory: 8198 grad_norm: 5.5446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4089 loss: 2.4089 2022/08/02 15:20:53 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 8.0000e-03 eta: 1 day, 13:52:17 time: 0.2770 data_time: 0.0188 memory: 8198 grad_norm: 5.5352 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3384 loss: 2.3384 2022/08/02 15:20:58 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 8.0000e-03 eta: 1 day, 13:52:12 time: 0.2941 data_time: 0.0241 memory: 8198 grad_norm: 5.5824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4171 loss: 2.4171 2022/08/02 15:21:04 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 8.0000e-03 eta: 1 day, 13:51:57 time: 0.2776 data_time: 0.0167 memory: 8198 grad_norm: 5.4903 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3448 loss: 2.3448 2022/08/02 15:21:10 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 8.0000e-03 eta: 1 day, 13:51:49 time: 0.2884 data_time: 0.0242 memory: 8198 grad_norm: 5.4929 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5769 loss: 2.5769 2022/08/02 15:21:15 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 8.0000e-03 eta: 1 day, 13:51:35 time: 0.2791 data_time: 0.0235 memory: 8198 grad_norm: 5.5114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4763 loss: 2.4763 2022/08/02 15:21:21 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 8.0000e-03 eta: 1 day, 13:51:21 time: 0.2796 data_time: 0.0223 memory: 8198 grad_norm: 5.3822 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3730 loss: 2.3730 2022/08/02 15:21:27 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 8.0000e-03 eta: 1 day, 13:51:31 time: 0.3154 data_time: 0.0181 memory: 8198 grad_norm: 5.4386 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3311 loss: 2.3311 2022/08/02 15:21:33 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 8.0000e-03 eta: 1 day, 13:51:23 time: 0.2882 data_time: 0.0276 memory: 8198 grad_norm: 5.5204 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6992 loss: 2.6992 2022/08/02 15:21:39 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 8.0000e-03 eta: 1 day, 13:51:10 time: 0.2821 data_time: 0.0207 memory: 8198 grad_norm: 5.4978 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.5072 loss: 2.5072 2022/08/02 15:21:44 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 8.0000e-03 eta: 1 day, 13:50:57 time: 0.2804 data_time: 0.0215 memory: 8198 grad_norm: 5.4633 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5546 loss: 2.5546 2022/08/02 15:21:50 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 8.0000e-03 eta: 1 day, 13:50:48 time: 0.2875 data_time: 0.0260 memory: 8198 grad_norm: 5.4840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1435 loss: 2.1435 2022/08/02 15:21:57 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 8.0000e-03 eta: 1 day, 13:51:09 time: 0.3308 data_time: 0.0289 memory: 8198 grad_norm: 5.4861 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3704 loss: 2.3704 2022/08/02 15:22:03 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 8.0000e-03 eta: 1 day, 13:51:05 time: 0.2942 data_time: 0.0183 memory: 8198 grad_norm: 5.4977 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4899 loss: 2.4899 2022/08/02 15:22:08 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 8.0000e-03 eta: 1 day, 13:50:53 time: 0.2833 data_time: 0.0249 memory: 8198 grad_norm: 5.4544 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5412 loss: 2.5412 2022/08/02 15:22:14 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 8.0000e-03 eta: 1 day, 13:50:38 time: 0.2775 data_time: 0.0222 memory: 8198 grad_norm: 5.5426 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3728 loss: 2.3728 2022/08/02 15:22:19 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 8.0000e-03 eta: 1 day, 13:50:25 time: 0.2818 data_time: 0.0207 memory: 8198 grad_norm: 5.4867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4654 loss: 2.4654 2022/08/02 15:22:25 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 8.0000e-03 eta: 1 day, 13:50:10 time: 0.2781 data_time: 0.0186 memory: 8198 grad_norm: 5.5024 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4779 loss: 2.4779 2022/08/02 15:22:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:22:31 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 8.0000e-03 eta: 1 day, 13:50:00 time: 0.2848 data_time: 0.0230 memory: 8198 grad_norm: 5.4284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3490 loss: 2.3490 2022/08/02 15:22:36 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 8.0000e-03 eta: 1 day, 13:49:45 time: 0.2780 data_time: 0.0241 memory: 8198 grad_norm: 5.4938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2406 loss: 2.2406 2022/08/02 15:22:42 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 8.0000e-03 eta: 1 day, 13:49:42 time: 0.2959 data_time: 0.0242 memory: 8198 grad_norm: 5.6427 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2272 loss: 2.2272 2022/08/02 15:22:48 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 8.0000e-03 eta: 1 day, 13:49:27 time: 0.2774 data_time: 0.0225 memory: 8198 grad_norm: 5.4772 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4323 loss: 2.4323 2022/08/02 15:22:53 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 8.0000e-03 eta: 1 day, 13:49:17 time: 0.2853 data_time: 0.0302 memory: 8198 grad_norm: 5.4648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6817 loss: 2.6817 2022/08/02 15:22:59 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 8.0000e-03 eta: 1 day, 13:49:13 time: 0.2951 data_time: 0.0198 memory: 8198 grad_norm: 5.5086 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4889 loss: 2.4889 2022/08/02 15:23:05 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 8.0000e-03 eta: 1 day, 13:49:01 time: 0.2823 data_time: 0.0304 memory: 8198 grad_norm: 5.4928 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4486 loss: 2.4486 2022/08/02 15:23:11 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 8.0000e-03 eta: 1 day, 13:48:50 time: 0.2831 data_time: 0.0226 memory: 8198 grad_norm: 5.3637 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3812 loss: 2.3812 2022/08/02 15:23:16 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 8.0000e-03 eta: 1 day, 13:48:42 time: 0.2877 data_time: 0.0244 memory: 8198 grad_norm: 5.4472 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3907 loss: 2.3907 2022/08/02 15:23:22 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 8.0000e-03 eta: 1 day, 13:48:32 time: 0.2862 data_time: 0.0207 memory: 8198 grad_norm: 5.4939 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3891 loss: 2.3891 2022/08/02 15:23:28 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 8.0000e-03 eta: 1 day, 13:48:20 time: 0.2815 data_time: 0.0265 memory: 8198 grad_norm: 5.4596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3348 loss: 2.3348 2022/08/02 15:23:33 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 8.0000e-03 eta: 1 day, 13:48:10 time: 0.2853 data_time: 0.0322 memory: 8198 grad_norm: 5.4722 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4492 loss: 2.4492 2022/08/02 15:23:39 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 8.0000e-03 eta: 1 day, 13:48:09 time: 0.2992 data_time: 0.0246 memory: 8198 grad_norm: 5.5046 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4451 loss: 2.4451 2022/08/02 15:23:45 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 8.0000e-03 eta: 1 day, 13:47:55 time: 0.2799 data_time: 0.0240 memory: 8198 grad_norm: 5.3884 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4118 loss: 2.4118 2022/08/02 15:23:51 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 8.0000e-03 eta: 1 day, 13:47:42 time: 0.2799 data_time: 0.0257 memory: 8198 grad_norm: 5.3929 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4315 loss: 2.4315 2022/08/02 15:23:56 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 8.0000e-03 eta: 1 day, 13:47:30 time: 0.2819 data_time: 0.0233 memory: 8198 grad_norm: 5.4424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4830 loss: 2.4830 2022/08/02 15:24:02 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 8.0000e-03 eta: 1 day, 13:47:21 time: 0.2861 data_time: 0.0250 memory: 8198 grad_norm: 5.4581 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4882 loss: 2.4882 2022/08/02 15:24:08 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 8.0000e-03 eta: 1 day, 13:47:07 time: 0.2793 data_time: 0.0189 memory: 8198 grad_norm: 5.5174 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4418 loss: 2.4418 2022/08/02 15:24:13 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 8.0000e-03 eta: 1 day, 13:46:55 time: 0.2819 data_time: 0.0184 memory: 8198 grad_norm: 5.3840 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4073 loss: 2.4073 2022/08/02 15:24:19 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 8.0000e-03 eta: 1 day, 13:46:47 time: 0.2888 data_time: 0.0227 memory: 8198 grad_norm: 5.5132 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.5947 loss: 2.5947 2022/08/02 15:24:25 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 8.0000e-03 eta: 1 day, 13:46:35 time: 0.2821 data_time: 0.0230 memory: 8198 grad_norm: 5.7147 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4082 loss: 2.4082 2022/08/02 15:24:30 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 8.0000e-03 eta: 1 day, 13:46:23 time: 0.2818 data_time: 0.0259 memory: 8198 grad_norm: 5.6996 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5301 loss: 2.5301 2022/08/02 15:24:36 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 8.0000e-03 eta: 1 day, 13:46:09 time: 0.2784 data_time: 0.0254 memory: 8198 grad_norm: 5.3817 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4229 loss: 2.4229 2022/08/02 15:24:42 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 8.0000e-03 eta: 1 day, 13:45:59 time: 0.2852 data_time: 0.0237 memory: 8198 grad_norm: 5.3260 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4779 loss: 2.4779 2022/08/02 15:24:47 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 8.0000e-03 eta: 1 day, 13:45:47 time: 0.2814 data_time: 0.0220 memory: 8198 grad_norm: 5.4296 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4751 loss: 2.4751 2022/08/02 15:24:53 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 8.0000e-03 eta: 1 day, 13:45:39 time: 0.2875 data_time: 0.0270 memory: 8198 grad_norm: 5.3828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3814 loss: 2.3814 2022/08/02 15:24:59 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 8.0000e-03 eta: 1 day, 13:45:37 time: 0.2987 data_time: 0.0211 memory: 8198 grad_norm: 5.4365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3075 loss: 2.3075 2022/08/02 15:25:04 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 8.0000e-03 eta: 1 day, 13:45:22 time: 0.2772 data_time: 0.0207 memory: 8198 grad_norm: 5.3684 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2364 loss: 2.2364 2022/08/02 15:25:10 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 8.0000e-03 eta: 1 day, 13:45:09 time: 0.2797 data_time: 0.0243 memory: 8198 grad_norm: 5.3593 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2746 loss: 2.2746 2022/08/02 15:25:16 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 8.0000e-03 eta: 1 day, 13:44:55 time: 0.2785 data_time: 0.0209 memory: 8198 grad_norm: 5.4622 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3558 loss: 2.3558 2022/08/02 15:25:21 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 8.0000e-03 eta: 1 day, 13:44:43 time: 0.2820 data_time: 0.0224 memory: 8198 grad_norm: 5.4993 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 2.3776 loss: 2.3776 2022/08/02 15:25:27 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 8.0000e-03 eta: 1 day, 13:44:30 time: 0.2795 data_time: 0.0247 memory: 8198 grad_norm: 5.3428 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4931 loss: 2.4931 2022/08/02 15:25:32 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 8.0000e-03 eta: 1 day, 13:44:17 time: 0.2808 data_time: 0.0193 memory: 8198 grad_norm: 5.4097 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5030 loss: 2.5030 2022/08/02 15:25:38 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 8.0000e-03 eta: 1 day, 13:44:08 time: 0.2860 data_time: 0.0219 memory: 8198 grad_norm: 5.4489 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.3215 loss: 2.3215 2022/08/02 15:25:44 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 8.0000e-03 eta: 1 day, 13:44:04 time: 0.2940 data_time: 0.0232 memory: 8198 grad_norm: 5.3050 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3594 loss: 2.3594 2022/08/02 15:25:50 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 8.0000e-03 eta: 1 day, 13:43:50 time: 0.2785 data_time: 0.0206 memory: 8198 grad_norm: 5.3419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3963 loss: 2.3963 2022/08/02 15:25:55 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 8.0000e-03 eta: 1 day, 13:43:37 time: 0.2798 data_time: 0.0272 memory: 8198 grad_norm: 5.4887 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3109 loss: 2.3109 2022/08/02 15:26:01 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 8.0000e-03 eta: 1 day, 13:43:27 time: 0.2844 data_time: 0.0221 memory: 8198 grad_norm: 5.4220 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1601 loss: 2.1601 2022/08/02 15:26:07 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 8.0000e-03 eta: 1 day, 13:43:23 time: 0.2947 data_time: 0.0253 memory: 8198 grad_norm: 5.4146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5284 loss: 2.5284 2022/08/02 15:26:12 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 8.0000e-03 eta: 1 day, 13:43:11 time: 0.2807 data_time: 0.0235 memory: 8198 grad_norm: 5.2073 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1744 loss: 2.1744 2022/08/02 15:26:18 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 8.0000e-03 eta: 1 day, 13:42:59 time: 0.2814 data_time: 0.0237 memory: 8198 grad_norm: 5.4227 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3176 loss: 2.3176 2022/08/02 15:26:24 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 8.0000e-03 eta: 1 day, 13:42:51 time: 0.2885 data_time: 0.0234 memory: 8198 grad_norm: 5.3580 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3667 loss: 2.3667 2022/08/02 15:26:30 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 8.0000e-03 eta: 1 day, 13:42:39 time: 0.2813 data_time: 0.0236 memory: 8198 grad_norm: 5.3020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3873 loss: 2.3873 2022/08/02 15:26:35 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 8.0000e-03 eta: 1 day, 13:42:27 time: 0.2811 data_time: 0.0267 memory: 8198 grad_norm: 5.4524 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2517 loss: 2.2517 2022/08/02 15:26:41 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 8.0000e-03 eta: 1 day, 13:42:20 time: 0.2889 data_time: 0.0239 memory: 8198 grad_norm: 5.4872 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4846 loss: 2.4846 2022/08/02 15:26:47 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 8.0000e-03 eta: 1 day, 13:42:12 time: 0.2889 data_time: 0.0345 memory: 8198 grad_norm: 5.4840 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5574 loss: 2.5574 2022/08/02 15:26:52 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 8.0000e-03 eta: 1 day, 13:42:00 time: 0.2802 data_time: 0.0218 memory: 8198 grad_norm: 5.3316 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6788 loss: 2.6788 2022/08/02 15:26:58 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 8.0000e-03 eta: 1 day, 13:41:49 time: 0.2838 data_time: 0.0245 memory: 8198 grad_norm: 5.2778 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5216 loss: 2.5216 2022/08/02 15:27:04 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 8.0000e-03 eta: 1 day, 13:41:43 time: 0.2904 data_time: 0.0232 memory: 8198 grad_norm: 5.3453 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3655 loss: 2.3655 2022/08/02 15:27:10 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 8.0000e-03 eta: 1 day, 13:41:36 time: 0.2889 data_time: 0.0201 memory: 8198 grad_norm: 5.3002 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3622 loss: 2.3622 2022/08/02 15:27:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:27:15 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 8.0000e-03 eta: 1 day, 13:41:21 time: 0.2763 data_time: 0.0218 memory: 8198 grad_norm: 5.3770 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6111 loss: 2.6111 2022/08/02 15:27:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:27:20 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 8.0000e-03 eta: 1 day, 13:41:21 time: 0.2668 data_time: 0.0165 memory: 8198 grad_norm: 5.5064 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4967 loss: 2.4967 2022/08/02 15:27:20 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/02 15:27:31 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 9.0000e-03 eta: 1 day, 13:39:17 time: 0.3867 data_time: 0.1329 memory: 8198 grad_norm: 5.3367 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4951 loss: 2.4951 2022/08/02 15:27:36 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 9.0000e-03 eta: 1 day, 13:39:06 time: 0.2822 data_time: 0.0235 memory: 8198 grad_norm: 5.2965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4959 loss: 2.4959 2022/08/02 15:27:42 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 9.0000e-03 eta: 1 day, 13:38:58 time: 0.2871 data_time: 0.0246 memory: 8198 grad_norm: 5.3926 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4198 loss: 2.4198 2022/08/02 15:27:48 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 9.0000e-03 eta: 1 day, 13:38:45 time: 0.2789 data_time: 0.0197 memory: 8198 grad_norm: 5.2559 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4022 loss: 2.4022 2022/08/02 15:27:53 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 9.0000e-03 eta: 1 day, 13:38:33 time: 0.2822 data_time: 0.0243 memory: 8198 grad_norm: 5.4278 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4364 loss: 2.4364 2022/08/02 15:27:59 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 9.0000e-03 eta: 1 day, 13:38:25 time: 0.2864 data_time: 0.0272 memory: 8198 grad_norm: 5.3465 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3871 loss: 2.3871 2022/08/02 15:28:05 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 9.0000e-03 eta: 1 day, 13:38:11 time: 0.2772 data_time: 0.0227 memory: 8198 grad_norm: 5.4068 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5833 loss: 2.5833 2022/08/02 15:28:10 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 9.0000e-03 eta: 1 day, 13:38:01 time: 0.2845 data_time: 0.0247 memory: 8198 grad_norm: 5.2749 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5320 loss: 2.5320 2022/08/02 15:28:16 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 9.0000e-03 eta: 1 day, 13:37:50 time: 0.2819 data_time: 0.0222 memory: 8198 grad_norm: 5.4269 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5270 loss: 2.5270 2022/08/02 15:28:22 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 9.0000e-03 eta: 1 day, 13:37:45 time: 0.2931 data_time: 0.0207 memory: 8198 grad_norm: 5.3391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2507 loss: 2.2507 2022/08/02 15:28:28 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 9.0000e-03 eta: 1 day, 13:37:36 time: 0.2858 data_time: 0.0303 memory: 8198 grad_norm: 5.3984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6132 loss: 2.6132 2022/08/02 15:28:33 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 9.0000e-03 eta: 1 day, 13:37:22 time: 0.2759 data_time: 0.0187 memory: 8198 grad_norm: 5.2859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2352 loss: 2.2352 2022/08/02 15:28:39 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 9.0000e-03 eta: 1 day, 13:37:14 time: 0.2885 data_time: 0.0315 memory: 8198 grad_norm: 5.3728 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.4116 loss: 2.4116 2022/08/02 15:28:45 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 9.0000e-03 eta: 1 day, 13:37:02 time: 0.2809 data_time: 0.0188 memory: 8198 grad_norm: 5.3645 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3708 loss: 2.3708 2022/08/02 15:28:50 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 9.0000e-03 eta: 1 day, 13:36:51 time: 0.2808 data_time: 0.0207 memory: 8198 grad_norm: 5.3659 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1638 loss: 2.1638 2022/08/02 15:28:56 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 9.0000e-03 eta: 1 day, 13:36:41 time: 0.2840 data_time: 0.0203 memory: 8198 grad_norm: 5.3581 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5032 loss: 2.5032 2022/08/02 15:29:02 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 9.0000e-03 eta: 1 day, 13:36:39 time: 0.2970 data_time: 0.0223 memory: 8198 grad_norm: 5.3410 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.5205 loss: 2.5205 2022/08/02 15:29:07 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 9.0000e-03 eta: 1 day, 13:36:25 time: 0.2775 data_time: 0.0237 memory: 8198 grad_norm: 5.5227 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2470 loss: 2.2470 2022/08/02 15:29:13 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 9.0000e-03 eta: 1 day, 13:36:13 time: 0.2812 data_time: 0.0228 memory: 8198 grad_norm: 5.2736 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1958 loss: 2.1958 2022/08/02 15:29:19 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 9.0000e-03 eta: 1 day, 13:36:04 time: 0.2845 data_time: 0.0230 memory: 8198 grad_norm: 5.4479 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.4218 loss: 2.4218 2022/08/02 15:29:24 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 9.0000e-03 eta: 1 day, 13:35:55 time: 0.2865 data_time: 0.0224 memory: 8198 grad_norm: 5.5108 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3056 loss: 2.3056 2022/08/02 15:29:30 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 9.0000e-03 eta: 1 day, 13:35:43 time: 0.2805 data_time: 0.0220 memory: 8198 grad_norm: 5.3641 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5298 loss: 2.5298 2022/08/02 15:29:36 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 9.0000e-03 eta: 1 day, 13:35:30 time: 0.2783 data_time: 0.0222 memory: 8198 grad_norm: 5.3331 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3234 loss: 2.3234 2022/08/02 15:29:41 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 9.0000e-03 eta: 1 day, 13:35:24 time: 0.2905 data_time: 0.0247 memory: 8198 grad_norm: 5.2882 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3655 loss: 2.3655 2022/08/02 15:29:47 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 9.0000e-03 eta: 1 day, 13:35:14 time: 0.2834 data_time: 0.0206 memory: 8198 grad_norm: 5.3309 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4961 loss: 2.4961 2022/08/02 15:29:53 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 9.0000e-03 eta: 1 day, 13:35:01 time: 0.2789 data_time: 0.0235 memory: 8198 grad_norm: 5.3564 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5485 loss: 2.5485 2022/08/02 15:29:58 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 9.0000e-03 eta: 1 day, 13:34:50 time: 0.2817 data_time: 0.0228 memory: 8198 grad_norm: 5.3788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2082 loss: 2.2082 2022/08/02 15:30:04 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 9.0000e-03 eta: 1 day, 13:34:49 time: 0.2996 data_time: 0.0213 memory: 8198 grad_norm: 5.3610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1668 loss: 2.1668 2022/08/02 15:30:10 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 9.0000e-03 eta: 1 day, 13:34:37 time: 0.2796 data_time: 0.0226 memory: 8198 grad_norm: 5.2375 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4447 loss: 2.4447 2022/08/02 15:30:17 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 9.0000e-03 eta: 1 day, 13:35:09 time: 0.3536 data_time: 0.0208 memory: 8198 grad_norm: 5.2774 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3023 loss: 2.3023 2022/08/02 15:30:23 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 9.0000e-03 eta: 1 day, 13:35:01 time: 0.2878 data_time: 0.0255 memory: 8198 grad_norm: 5.5199 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4827 loss: 2.4827 2022/08/02 15:30:28 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 9.0000e-03 eta: 1 day, 13:34:47 time: 0.2777 data_time: 0.0219 memory: 8198 grad_norm: 5.3217 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3801 loss: 2.3801 2022/08/02 15:30:34 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 9.0000e-03 eta: 1 day, 13:34:36 time: 0.2808 data_time: 0.0296 memory: 8198 grad_norm: 5.3467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2814 loss: 2.2814 2022/08/02 15:30:40 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 9.0000e-03 eta: 1 day, 13:34:36 time: 0.3013 data_time: 0.0215 memory: 8198 grad_norm: 5.2945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5679 loss: 2.5679 2022/08/02 15:30:45 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 9.0000e-03 eta: 1 day, 13:34:22 time: 0.2773 data_time: 0.0235 memory: 8198 grad_norm: 5.5235 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4443 loss: 2.4443 2022/08/02 15:30:51 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 9.0000e-03 eta: 1 day, 13:34:09 time: 0.2773 data_time: 0.0261 memory: 8198 grad_norm: 5.3469 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4396 loss: 2.4396 2022/08/02 15:30:57 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 9.0000e-03 eta: 1 day, 13:33:58 time: 0.2821 data_time: 0.0195 memory: 8198 grad_norm: 5.4075 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4597 loss: 2.4597 2022/08/02 15:31:02 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 9.0000e-03 eta: 1 day, 13:33:52 time: 0.2909 data_time: 0.0248 memory: 8198 grad_norm: 5.3393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4224 loss: 2.4224 2022/08/02 15:31:08 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 9.0000e-03 eta: 1 day, 13:33:39 time: 0.2784 data_time: 0.0206 memory: 8198 grad_norm: 5.2441 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5042 loss: 2.5042 2022/08/02 15:31:14 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 9.0000e-03 eta: 1 day, 13:33:27 time: 0.2799 data_time: 0.0239 memory: 8198 grad_norm: 5.2513 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.5009 loss: 2.5009 2022/08/02 15:31:20 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 9.0000e-03 eta: 1 day, 13:33:29 time: 0.3048 data_time: 0.0237 memory: 8198 grad_norm: 5.2141 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1486 loss: 2.1486 2022/08/02 15:31:25 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 9.0000e-03 eta: 1 day, 13:33:16 time: 0.2768 data_time: 0.0265 memory: 8198 grad_norm: 5.3689 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3640 loss: 2.3640 2022/08/02 15:31:31 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 9.0000e-03 eta: 1 day, 13:33:04 time: 0.2816 data_time: 0.0226 memory: 8198 grad_norm: 5.2650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4836 loss: 2.4836 2022/08/02 15:31:37 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 9.0000e-03 eta: 1 day, 13:32:56 time: 0.2863 data_time: 0.0275 memory: 8198 grad_norm: 5.3591 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5769 loss: 2.5769 2022/08/02 15:31:42 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 9.0000e-03 eta: 1 day, 13:32:48 time: 0.2863 data_time: 0.0220 memory: 8198 grad_norm: 5.2097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4537 loss: 2.4537 2022/08/02 15:31:48 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 9.0000e-03 eta: 1 day, 13:32:37 time: 0.2828 data_time: 0.0216 memory: 8198 grad_norm: 5.1637 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5477 loss: 2.5477 2022/08/02 15:31:54 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 9.0000e-03 eta: 1 day, 13:32:27 time: 0.2830 data_time: 0.0288 memory: 8198 grad_norm: 5.1892 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3333 loss: 2.3333 2022/08/02 15:31:59 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 9.0000e-03 eta: 1 day, 13:32:17 time: 0.2834 data_time: 0.0195 memory: 8198 grad_norm: 5.2673 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2319 loss: 2.2319 2022/08/02 15:32:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:32:05 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 9.0000e-03 eta: 1 day, 13:32:08 time: 0.2856 data_time: 0.0226 memory: 8198 grad_norm: 5.3086 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5275 loss: 2.5275 2022/08/02 15:32:11 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 9.0000e-03 eta: 1 day, 13:32:05 time: 0.2938 data_time: 0.0239 memory: 8198 grad_norm: 5.3635 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6080 loss: 2.6080 2022/08/02 15:32:17 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 9.0000e-03 eta: 1 day, 13:31:53 time: 0.2803 data_time: 0.0211 memory: 8198 grad_norm: 5.4519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5117 loss: 2.5117 2022/08/02 15:32:23 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 9.0000e-03 eta: 1 day, 13:31:52 time: 0.3000 data_time: 0.0258 memory: 8198 grad_norm: 5.2328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3381 loss: 2.3381 2022/08/02 15:32:28 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 9.0000e-03 eta: 1 day, 13:31:39 time: 0.2777 data_time: 0.0205 memory: 8198 grad_norm: 5.3527 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4941 loss: 2.4941 2022/08/02 15:32:34 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 9.0000e-03 eta: 1 day, 13:31:29 time: 0.2830 data_time: 0.0283 memory: 8198 grad_norm: 5.2668 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3710 loss: 2.3710 2022/08/02 15:32:39 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 9.0000e-03 eta: 1 day, 13:31:19 time: 0.2837 data_time: 0.0198 memory: 8198 grad_norm: 5.3098 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.6344 loss: 2.6344 2022/08/02 15:32:45 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 9.0000e-03 eta: 1 day, 13:31:09 time: 0.2833 data_time: 0.0256 memory: 8198 grad_norm: 5.2606 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3526 loss: 2.3526 2022/08/02 15:32:51 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 9.0000e-03 eta: 1 day, 13:31:01 time: 0.2858 data_time: 0.0231 memory: 8198 grad_norm: 5.2791 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2500 loss: 2.2500 2022/08/02 15:32:56 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 9.0000e-03 eta: 1 day, 13:30:50 time: 0.2819 data_time: 0.0213 memory: 8198 grad_norm: 5.1652 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2884 loss: 2.2884 2022/08/02 15:33:02 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 9.0000e-03 eta: 1 day, 13:30:41 time: 0.2851 data_time: 0.0230 memory: 8198 grad_norm: 5.3439 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3651 loss: 2.3651 2022/08/02 15:33:08 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 9.0000e-03 eta: 1 day, 13:30:28 time: 0.2788 data_time: 0.0209 memory: 8198 grad_norm: 5.3148 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2159 loss: 2.2159 2022/08/02 15:33:14 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 9.0000e-03 eta: 1 day, 13:30:22 time: 0.2903 data_time: 0.0278 memory: 8198 grad_norm: 5.1987 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3171 loss: 2.3171 2022/08/02 15:33:19 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 9.0000e-03 eta: 1 day, 13:30:10 time: 0.2785 data_time: 0.0220 memory: 8198 grad_norm: 5.2135 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3804 loss: 2.3804 2022/08/02 15:33:25 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 9.0000e-03 eta: 1 day, 13:30:00 time: 0.2827 data_time: 0.0268 memory: 8198 grad_norm: 5.2341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4771 loss: 2.4771 2022/08/02 15:33:30 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 9.0000e-03 eta: 1 day, 13:29:49 time: 0.2823 data_time: 0.0243 memory: 8198 grad_norm: 5.2298 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3758 loss: 2.3758 2022/08/02 15:33:36 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 9.0000e-03 eta: 1 day, 13:29:37 time: 0.2800 data_time: 0.0210 memory: 8198 grad_norm: 5.1266 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2482 loss: 2.2482 2022/08/02 15:33:42 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 9.0000e-03 eta: 1 day, 13:29:26 time: 0.2809 data_time: 0.0285 memory: 8198 grad_norm: 5.1401 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2913 loss: 2.2913 2022/08/02 15:33:47 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 9.0000e-03 eta: 1 day, 13:29:17 time: 0.2848 data_time: 0.0233 memory: 8198 grad_norm: 5.3352 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3465 loss: 2.3465 2022/08/02 15:33:53 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 9.0000e-03 eta: 1 day, 13:29:09 time: 0.2869 data_time: 0.0232 memory: 8198 grad_norm: 5.2692 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3602 loss: 2.3602 2022/08/02 15:33:59 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 9.0000e-03 eta: 1 day, 13:28:57 time: 0.2794 data_time: 0.0240 memory: 8198 grad_norm: 5.3773 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4918 loss: 2.4918 2022/08/02 15:34:05 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 9.0000e-03 eta: 1 day, 13:28:54 time: 0.2960 data_time: 0.0251 memory: 8198 grad_norm: 5.2884 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4371 loss: 2.4371 2022/08/02 15:34:10 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 9.0000e-03 eta: 1 day, 13:28:45 time: 0.2833 data_time: 0.0269 memory: 8198 grad_norm: 5.0956 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3048 loss: 2.3048 2022/08/02 15:34:16 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 9.0000e-03 eta: 1 day, 13:28:33 time: 0.2795 data_time: 0.0217 memory: 8198 grad_norm: 5.2161 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4947 loss: 2.4947 2022/08/02 15:34:21 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 9.0000e-03 eta: 1 day, 13:28:23 time: 0.2838 data_time: 0.0269 memory: 8198 grad_norm: 5.2229 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4191 loss: 2.4191 2022/08/02 15:34:27 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 9.0000e-03 eta: 1 day, 13:28:16 time: 0.2890 data_time: 0.0212 memory: 8198 grad_norm: 5.1880 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3135 loss: 2.3135 2022/08/02 15:34:33 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 9.0000e-03 eta: 1 day, 13:28:10 time: 0.2892 data_time: 0.0233 memory: 8198 grad_norm: 5.3030 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2754 loss: 2.2754 2022/08/02 15:34:39 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 9.0000e-03 eta: 1 day, 13:27:57 time: 0.2776 data_time: 0.0199 memory: 8198 grad_norm: 5.3178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4249 loss: 2.4249 2022/08/02 15:34:44 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 9.0000e-03 eta: 1 day, 13:27:48 time: 0.2840 data_time: 0.0250 memory: 8198 grad_norm: 5.3314 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5513 loss: 2.5513 2022/08/02 15:34:50 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 9.0000e-03 eta: 1 day, 13:27:40 time: 0.2865 data_time: 0.0208 memory: 8198 grad_norm: 5.2656 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4452 loss: 2.4452 2022/08/02 15:34:56 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 9.0000e-03 eta: 1 day, 13:27:28 time: 0.2796 data_time: 0.0218 memory: 8198 grad_norm: 5.2262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2367 loss: 2.2367 2022/08/02 15:35:01 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 9.0000e-03 eta: 1 day, 13:27:18 time: 0.2836 data_time: 0.0253 memory: 8198 grad_norm: 5.3552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2185 loss: 2.2185 2022/08/02 15:35:07 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 9.0000e-03 eta: 1 day, 13:27:11 time: 0.2880 data_time: 0.0222 memory: 8198 grad_norm: 5.2402 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5096 loss: 2.5096 2022/08/02 15:35:13 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 9.0000e-03 eta: 1 day, 13:27:06 time: 0.2919 data_time: 0.0208 memory: 8198 grad_norm: 5.3543 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3495 loss: 2.3495 2022/08/02 15:35:18 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 9.0000e-03 eta: 1 day, 13:26:53 time: 0.2774 data_time: 0.0239 memory: 8198 grad_norm: 5.2989 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1599 loss: 2.1599 2022/08/02 15:35:24 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 9.0000e-03 eta: 1 day, 13:26:44 time: 0.2853 data_time: 0.0270 memory: 8198 grad_norm: 5.3406 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3904 loss: 2.3904 2022/08/02 15:35:30 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 9.0000e-03 eta: 1 day, 13:26:35 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 5.3715 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4470 loss: 2.4470 2022/08/02 15:35:35 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 9.0000e-03 eta: 1 day, 13:26:24 time: 0.2794 data_time: 0.0247 memory: 8198 grad_norm: 5.1827 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3455 loss: 2.3455 2022/08/02 15:35:41 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 9.0000e-03 eta: 1 day, 13:26:16 time: 0.2866 data_time: 0.0274 memory: 8198 grad_norm: 5.2287 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1986 loss: 2.1986 2022/08/02 15:35:47 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 9.0000e-03 eta: 1 day, 13:26:06 time: 0.2835 data_time: 0.0160 memory: 8198 grad_norm: 5.3155 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4037 loss: 2.4037 2022/08/02 15:35:53 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 9.0000e-03 eta: 1 day, 13:26:03 time: 0.2947 data_time: 0.0226 memory: 8198 grad_norm: 5.2987 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4597 loss: 2.4597 2022/08/02 15:35:58 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 9.0000e-03 eta: 1 day, 13:25:50 time: 0.2779 data_time: 0.0204 memory: 8198 grad_norm: 5.2881 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2227 loss: 2.2227 2022/08/02 15:36:04 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 9.0000e-03 eta: 1 day, 13:25:39 time: 0.2812 data_time: 0.0258 memory: 8198 grad_norm: 5.2241 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3497 loss: 2.3497 2022/08/02 15:36:10 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 9.0000e-03 eta: 1 day, 13:25:28 time: 0.2805 data_time: 0.0270 memory: 8198 grad_norm: 5.3428 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2820 loss: 2.2820 2022/08/02 15:36:15 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 9.0000e-03 eta: 1 day, 13:25:18 time: 0.2826 data_time: 0.0223 memory: 8198 grad_norm: 5.2664 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3551 loss: 2.3551 2022/08/02 15:36:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:36:20 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 9.0000e-03 eta: 1 day, 13:25:18 time: 0.2597 data_time: 0.0176 memory: 8198 grad_norm: 5.2655 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.3945 loss: 2.3945 2022/08/02 15:36:28 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 1.0000e-02 eta: 1 day, 13:23:44 time: 0.4158 data_time: 0.1228 memory: 8198 grad_norm: 5.0772 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3637 loss: 2.3637 2022/08/02 15:36:34 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 1.0000e-02 eta: 1 day, 13:23:43 time: 0.2989 data_time: 0.0265 memory: 8198 grad_norm: 5.2699 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4412 loss: 2.4412 2022/08/02 15:36:40 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 1.0000e-02 eta: 1 day, 13:23:38 time: 0.2909 data_time: 0.0229 memory: 8198 grad_norm: 5.1697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2595 loss: 2.2595 2022/08/02 15:36:46 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 1.0000e-02 eta: 1 day, 13:23:27 time: 0.2812 data_time: 0.0240 memory: 8198 grad_norm: 5.2052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4171 loss: 2.4171 2022/08/02 15:36:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:36:52 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 1.0000e-02 eta: 1 day, 13:23:19 time: 0.2855 data_time: 0.0242 memory: 8198 grad_norm: 5.3642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2964 loss: 2.2964 2022/08/02 15:36:57 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 1.0000e-02 eta: 1 day, 13:23:08 time: 0.2809 data_time: 0.0229 memory: 8198 grad_norm: 5.2669 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2150 loss: 2.2150 2022/08/02 15:37:03 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 1.0000e-02 eta: 1 day, 13:23:03 time: 0.2911 data_time: 0.0214 memory: 8198 grad_norm: 5.2253 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5015 loss: 2.5015 2022/08/02 15:37:09 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 1.0000e-02 eta: 1 day, 13:22:55 time: 0.2866 data_time: 0.0280 memory: 8198 grad_norm: 5.3175 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3228 loss: 2.3228 2022/08/02 15:37:15 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 1.0000e-02 eta: 1 day, 13:22:47 time: 0.2859 data_time: 0.0251 memory: 8198 grad_norm: 5.3215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2441 loss: 2.2441 2022/08/02 15:37:21 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 1.0000e-02 eta: 1 day, 13:22:53 time: 0.3108 data_time: 0.0247 memory: 8198 grad_norm: 5.2434 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4771 loss: 2.4771 2022/08/02 15:37:26 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 1.0000e-02 eta: 1 day, 13:22:39 time: 0.2744 data_time: 0.0202 memory: 8198 grad_norm: 5.2304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5451 loss: 2.5451 2022/08/02 15:37:32 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 1.0000e-02 eta: 1 day, 13:22:27 time: 0.2787 data_time: 0.0235 memory: 8198 grad_norm: 5.1986 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2645 loss: 2.2645 2022/08/02 15:37:37 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 1.0000e-02 eta: 1 day, 13:22:15 time: 0.2785 data_time: 0.0209 memory: 8198 grad_norm: 5.2648 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.1278 loss: 2.1278 2022/08/02 15:37:43 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 1.0000e-02 eta: 1 day, 13:22:08 time: 0.2881 data_time: 0.0232 memory: 8198 grad_norm: 5.2241 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4897 loss: 2.4897 2022/08/02 15:37:49 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 1.0000e-02 eta: 1 day, 13:21:57 time: 0.2805 data_time: 0.0244 memory: 8198 grad_norm: 5.1232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4705 loss: 2.4705 2022/08/02 15:37:54 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 1.0000e-02 eta: 1 day, 13:21:47 time: 0.2828 data_time: 0.0230 memory: 8198 grad_norm: 5.1902 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5306 loss: 2.5306 2022/08/02 15:38:00 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 1.0000e-02 eta: 1 day, 13:21:39 time: 0.2859 data_time: 0.0233 memory: 8198 grad_norm: 5.1632 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2701 loss: 2.2701 2022/08/02 15:38:06 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 1.0000e-02 eta: 1 day, 13:21:27 time: 0.2785 data_time: 0.0202 memory: 8198 grad_norm: 5.1450 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3353 loss: 2.3353 2022/08/02 15:38:12 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 1.0000e-02 eta: 1 day, 13:21:24 time: 0.2951 data_time: 0.0315 memory: 8198 grad_norm: 5.2311 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.2812 loss: 2.2812 2022/08/02 15:38:17 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 1.0000e-02 eta: 1 day, 13:21:12 time: 0.2793 data_time: 0.0214 memory: 8198 grad_norm: 5.2527 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5194 loss: 2.5194 2022/08/02 15:38:23 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 1.0000e-02 eta: 1 day, 13:21:07 time: 0.2900 data_time: 0.0196 memory: 8198 grad_norm: 5.1598 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2408 loss: 2.2408 2022/08/02 15:38:29 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 1.0000e-02 eta: 1 day, 13:20:56 time: 0.2810 data_time: 0.0241 memory: 8198 grad_norm: 5.2071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6549 loss: 2.6549 2022/08/02 15:38:34 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 1.0000e-02 eta: 1 day, 13:20:46 time: 0.2812 data_time: 0.0237 memory: 8198 grad_norm: 5.2233 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4354 loss: 2.4354 2022/08/02 15:38:40 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 1.0000e-02 eta: 1 day, 13:20:39 time: 0.2890 data_time: 0.0257 memory: 8198 grad_norm: 5.0957 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2223 loss: 2.2223 2022/08/02 15:38:46 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 1.0000e-02 eta: 1 day, 13:20:28 time: 0.2797 data_time: 0.0239 memory: 8198 grad_norm: 5.3502 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.2919 loss: 2.2919 2022/08/02 15:38:51 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 1.0000e-02 eta: 1 day, 13:20:18 time: 0.2815 data_time: 0.0217 memory: 8198 grad_norm: 5.2295 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3932 loss: 2.3932 2022/08/02 15:38:57 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 1.0000e-02 eta: 1 day, 13:20:07 time: 0.2805 data_time: 0.0203 memory: 8198 grad_norm: 5.2249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6000 loss: 2.6000 2022/08/02 15:39:03 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 1.0000e-02 eta: 1 day, 13:20:00 time: 0.2888 data_time: 0.0273 memory: 8198 grad_norm: 5.1080 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4409 loss: 2.4409 2022/08/02 15:39:08 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 1.0000e-02 eta: 1 day, 13:19:49 time: 0.2785 data_time: 0.0241 memory: 8198 grad_norm: 5.1122 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3367 loss: 2.3367 2022/08/02 15:39:14 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 1.0000e-02 eta: 1 day, 13:19:36 time: 0.2776 data_time: 0.0203 memory: 8198 grad_norm: 5.1196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3979 loss: 2.3979 2022/08/02 15:39:19 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 1.0000e-02 eta: 1 day, 13:19:24 time: 0.2778 data_time: 0.0205 memory: 8198 grad_norm: 5.2813 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4021 loss: 2.4021 2022/08/02 15:39:25 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 1.0000e-02 eta: 1 day, 13:19:16 time: 0.2860 data_time: 0.0299 memory: 8198 grad_norm: 5.1764 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4134 loss: 2.4134 2022/08/02 15:39:31 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 1.0000e-02 eta: 1 day, 13:19:07 time: 0.2827 data_time: 0.0247 memory: 8198 grad_norm: 5.1080 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4517 loss: 2.4517 2022/08/02 15:39:37 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 1.0000e-02 eta: 1 day, 13:19:02 time: 0.2920 data_time: 0.0341 memory: 8198 grad_norm: 4.9874 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4495 loss: 2.4495 2022/08/02 15:39:42 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 1.0000e-02 eta: 1 day, 13:18:57 time: 0.2917 data_time: 0.0201 memory: 8198 grad_norm: 5.1404 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3996 loss: 2.3996 2022/08/02 15:39:48 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 1.0000e-02 eta: 1 day, 13:18:58 time: 0.3028 data_time: 0.0399 memory: 8198 grad_norm: 5.1808 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4258 loss: 2.4258 2022/08/02 15:39:54 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 1.0000e-02 eta: 1 day, 13:18:48 time: 0.2819 data_time: 0.0196 memory: 8198 grad_norm: 5.2523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2761 loss: 2.2761 2022/08/02 15:40:00 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 1.0000e-02 eta: 1 day, 13:18:39 time: 0.2835 data_time: 0.0178 memory: 8198 grad_norm: 5.2065 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3146 loss: 2.3146 2022/08/02 15:40:06 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 1.0000e-02 eta: 1 day, 13:18:33 time: 0.2903 data_time: 0.0270 memory: 8198 grad_norm: 5.1490 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1049 loss: 2.1049 2022/08/02 15:40:11 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 1.0000e-02 eta: 1 day, 13:18:23 time: 0.2809 data_time: 0.0212 memory: 8198 grad_norm: 5.2087 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2951 loss: 2.2951 2022/08/02 15:40:17 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 1.0000e-02 eta: 1 day, 13:18:12 time: 0.2800 data_time: 0.0229 memory: 8198 grad_norm: 5.1747 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3758 loss: 2.3758 2022/08/02 15:40:22 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 1.0000e-02 eta: 1 day, 13:18:03 time: 0.2833 data_time: 0.0256 memory: 8198 grad_norm: 5.1757 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4199 loss: 2.4199 2022/08/02 15:40:28 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 1.0000e-02 eta: 1 day, 13:17:52 time: 0.2807 data_time: 0.0208 memory: 8198 grad_norm: 5.1622 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3373 loss: 2.3373 2022/08/02 15:40:34 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 1.0000e-02 eta: 1 day, 13:17:44 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 5.1703 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3784 loss: 2.3784 2022/08/02 15:40:39 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 1.0000e-02 eta: 1 day, 13:17:34 time: 0.2831 data_time: 0.0275 memory: 8198 grad_norm: 5.0994 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1453 loss: 2.1453 2022/08/02 15:40:45 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 1.0000e-02 eta: 1 day, 13:17:23 time: 0.2798 data_time: 0.0238 memory: 8198 grad_norm: 5.1681 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3310 loss: 2.3310 2022/08/02 15:40:51 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 1.0000e-02 eta: 1 day, 13:17:10 time: 0.2762 data_time: 0.0192 memory: 8198 grad_norm: 5.1742 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2154 loss: 2.2154 2022/08/02 15:40:56 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 1.0000e-02 eta: 1 day, 13:17:01 time: 0.2834 data_time: 0.0253 memory: 8198 grad_norm: 5.2319 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.3443 loss: 2.3443 2022/08/02 15:41:02 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 1.0000e-02 eta: 1 day, 13:16:54 time: 0.2874 data_time: 0.0274 memory: 8198 grad_norm: 5.1269 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2702 loss: 2.2702 2022/08/02 15:41:08 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 1.0000e-02 eta: 1 day, 13:17:04 time: 0.3204 data_time: 0.0222 memory: 8198 grad_norm: 5.2562 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1465 loss: 2.1465 2022/08/02 15:41:14 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 1.0000e-02 eta: 1 day, 13:16:55 time: 0.2835 data_time: 0.0181 memory: 8198 grad_norm: 5.2896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3676 loss: 2.3676 2022/08/02 15:41:20 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 1.0000e-02 eta: 1 day, 13:16:55 time: 0.3010 data_time: 0.0271 memory: 8198 grad_norm: 5.3122 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0718 loss: 2.0718 2022/08/02 15:41:26 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 1.0000e-02 eta: 1 day, 13:16:42 time: 0.2761 data_time: 0.0214 memory: 8198 grad_norm: 5.2241 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3389 loss: 2.3389 2022/08/02 15:41:31 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 1.0000e-02 eta: 1 day, 13:16:32 time: 0.2810 data_time: 0.0237 memory: 8198 grad_norm: 5.0936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1850 loss: 2.1850 2022/08/02 15:41:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:41:37 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 1.0000e-02 eta: 1 day, 13:16:23 time: 0.2833 data_time: 0.0277 memory: 8198 grad_norm: 5.1444 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2751 loss: 2.2751 2022/08/02 15:41:43 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 1.0000e-02 eta: 1 day, 13:16:20 time: 0.2961 data_time: 0.0204 memory: 8198 grad_norm: 5.2234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5689 loss: 2.5689 2022/08/02 15:41:48 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 1.0000e-02 eta: 1 day, 13:16:11 time: 0.2822 data_time: 0.0200 memory: 8198 grad_norm: 5.2734 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2931 loss: 2.2931 2022/08/02 15:41:54 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 1.0000e-02 eta: 1 day, 13:16:04 time: 0.2877 data_time: 0.0237 memory: 8198 grad_norm: 5.0124 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/08/02 15:42:00 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 1.0000e-02 eta: 1 day, 13:15:56 time: 0.2865 data_time: 0.0230 memory: 8198 grad_norm: 5.0676 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3356 loss: 2.3356 2022/08/02 15:42:06 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 1.0000e-02 eta: 1 day, 13:15:45 time: 0.2799 data_time: 0.0269 memory: 8198 grad_norm: 5.1031 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.5064 loss: 2.5064 2022/08/02 15:42:11 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 1.0000e-02 eta: 1 day, 13:15:36 time: 0.2831 data_time: 0.0255 memory: 8198 grad_norm: 5.0900 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5701 loss: 2.5701 2022/08/02 15:42:17 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 1.0000e-02 eta: 1 day, 13:15:27 time: 0.2835 data_time: 0.0247 memory: 8198 grad_norm: 5.1616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4380 loss: 2.4380 2022/08/02 15:42:23 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 1.0000e-02 eta: 1 day, 13:15:19 time: 0.2850 data_time: 0.0225 memory: 8198 grad_norm: 5.1526 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3283 loss: 2.3283 2022/08/02 15:42:28 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 1.0000e-02 eta: 1 day, 13:15:09 time: 0.2807 data_time: 0.0290 memory: 8198 grad_norm: 5.1300 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3971 loss: 2.3971 2022/08/02 15:42:34 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 1.0000e-02 eta: 1 day, 13:14:58 time: 0.2811 data_time: 0.0241 memory: 8198 grad_norm: 5.1542 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4017 loss: 2.4017 2022/08/02 15:42:40 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 1.0000e-02 eta: 1 day, 13:15:13 time: 0.3296 data_time: 0.0250 memory: 8198 grad_norm: 5.1501 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.2857 loss: 2.2857 2022/08/02 15:42:46 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 1.0000e-02 eta: 1 day, 13:15:01 time: 0.2778 data_time: 0.0184 memory: 8198 grad_norm: 4.9787 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3826 loss: 2.3826 2022/08/02 15:42:52 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 1.0000e-02 eta: 1 day, 13:14:50 time: 0.2795 data_time: 0.0202 memory: 8198 grad_norm: 5.0576 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.1919 loss: 2.1919 2022/08/02 15:42:57 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 1.0000e-02 eta: 1 day, 13:14:41 time: 0.2831 data_time: 0.0212 memory: 8198 grad_norm: 5.1840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3638 loss: 2.3638 2022/08/02 15:43:03 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 1.0000e-02 eta: 1 day, 13:14:35 time: 0.2888 data_time: 0.0229 memory: 8198 grad_norm: 5.0455 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2565 loss: 2.2565 2022/08/02 15:43:09 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 1.0000e-02 eta: 1 day, 13:14:23 time: 0.2782 data_time: 0.0217 memory: 8198 grad_norm: 5.1107 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4664 loss: 2.4664 2022/08/02 15:43:14 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 1.0000e-02 eta: 1 day, 13:14:14 time: 0.2835 data_time: 0.0240 memory: 8198 grad_norm: 5.0935 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3937 loss: 2.3937 2022/08/02 15:43:20 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 1.0000e-02 eta: 1 day, 13:14:04 time: 0.2823 data_time: 0.0216 memory: 8198 grad_norm: 5.1160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0488 loss: 2.0488 2022/08/02 15:43:26 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 1.0000e-02 eta: 1 day, 13:13:59 time: 0.2903 data_time: 0.0258 memory: 8198 grad_norm: 5.2045 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3248 loss: 2.3248 2022/08/02 15:43:31 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 1.0000e-02 eta: 1 day, 13:13:48 time: 0.2785 data_time: 0.0215 memory: 8198 grad_norm: 5.1403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3199 loss: 2.3199 2022/08/02 15:43:37 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 1.0000e-02 eta: 1 day, 13:13:38 time: 0.2826 data_time: 0.0228 memory: 8198 grad_norm: 5.1115 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4195 loss: 2.4195 2022/08/02 15:43:43 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 1.0000e-02 eta: 1 day, 13:13:33 time: 0.2904 data_time: 0.0228 memory: 8198 grad_norm: 5.0250 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2149 loss: 2.2149 2022/08/02 15:43:48 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 1.0000e-02 eta: 1 day, 13:13:21 time: 0.2775 data_time: 0.0219 memory: 8198 grad_norm: 5.0356 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2459 loss: 2.2459 2022/08/02 15:43:57 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 1.0000e-02 eta: 1 day, 13:14:23 time: 0.4252 data_time: 0.0225 memory: 8198 grad_norm: 5.0955 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3523 loss: 2.3523 2022/08/02 15:44:02 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 1.0000e-02 eta: 1 day, 13:14:12 time: 0.2790 data_time: 0.0196 memory: 8198 grad_norm: 5.0979 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5310 loss: 2.5310 2022/08/02 15:44:08 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 1.0000e-02 eta: 1 day, 13:14:01 time: 0.2797 data_time: 0.0263 memory: 8198 grad_norm: 5.0701 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4386 loss: 2.4386 2022/08/02 15:44:14 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 1.0000e-02 eta: 1 day, 13:13:52 time: 0.2839 data_time: 0.0182 memory: 8198 grad_norm: 5.0156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1936 loss: 2.1936 2022/08/02 15:44:19 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 1.0000e-02 eta: 1 day, 13:13:43 time: 0.2843 data_time: 0.0228 memory: 8198 grad_norm: 5.1142 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4258 loss: 2.4258 2022/08/02 15:44:27 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 1.0000e-02 eta: 1 day, 13:14:15 time: 0.3650 data_time: 0.0826 memory: 8198 grad_norm: 5.0976 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4005 loss: 2.4005 2022/08/02 15:44:32 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 1.0000e-02 eta: 1 day, 13:14:03 time: 0.2783 data_time: 0.0200 memory: 8198 grad_norm: 5.1326 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4161 loss: 2.4161 2022/08/02 15:44:39 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 1.0000e-02 eta: 1 day, 13:14:31 time: 0.3581 data_time: 0.1061 memory: 8198 grad_norm: 5.1021 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2849 loss: 2.2849 2022/08/02 15:44:45 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 1.0000e-02 eta: 1 day, 13:14:27 time: 0.2930 data_time: 0.0211 memory: 8198 grad_norm: 4.9591 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.4292 loss: 2.4292 2022/08/02 15:44:51 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 1.0000e-02 eta: 1 day, 13:14:18 time: 0.2839 data_time: 0.0279 memory: 8198 grad_norm: 5.2433 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.2999 loss: 2.2999 2022/08/02 15:44:57 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 1.0000e-02 eta: 1 day, 13:14:07 time: 0.2792 data_time: 0.0250 memory: 8198 grad_norm: 5.1453 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1319 loss: 2.1319 2022/08/02 15:45:02 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 1.0000e-02 eta: 1 day, 13:13:58 time: 0.2835 data_time: 0.0243 memory: 8198 grad_norm: 5.1985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3703 loss: 2.3703 2022/08/02 15:45:08 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 1.0000e-02 eta: 1 day, 13:13:48 time: 0.2806 data_time: 0.0192 memory: 8198 grad_norm: 5.1429 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5245 loss: 2.5245 2022/08/02 15:45:13 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 1.0000e-02 eta: 1 day, 13:13:39 time: 0.2842 data_time: 0.0197 memory: 8198 grad_norm: 5.1896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2454 loss: 2.2454 2022/08/02 15:45:19 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 1.0000e-02 eta: 1 day, 13:13:28 time: 0.2780 data_time: 0.0220 memory: 8198 grad_norm: 5.0950 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3718 loss: 2.3718 2022/08/02 15:45:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:45:25 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 1.0000e-02 eta: 1 day, 13:13:28 time: 0.2677 data_time: 0.0181 memory: 8198 grad_norm: 5.2425 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4344 loss: 2.4344 2022/08/02 15:45:31 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:00:45 time: 0.3401 data_time: 0.2532 memory: 1514 2022/08/02 15:45:36 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:00:27 time: 0.2420 data_time: 0.1573 memory: 1514 2022/08/02 15:45:42 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:29 time: 0.3060 data_time: 0.2188 memory: 1514 2022/08/02 15:45:47 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:16 time: 0.2262 data_time: 0.1400 memory: 1514 2022/08/02 15:45:53 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:17 time: 0.3152 data_time: 0.2288 memory: 1514 2022/08/02 15:45:58 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:07 time: 0.2262 data_time: 0.1402 memory: 1514 2022/08/02 15:46:04 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:04 time: 0.2945 data_time: 0.2101 memory: 1514 2022/08/02 15:46:08 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5543 acc/top5: 0.7983 acc/mean1: 0.5542 2022/08/02 15:46:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/02 15:46:10 - mmengine - INFO - The best checkpoint with 0.5543 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/02 15:46:17 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 1.0000e-02 eta: 1 day, 13:11:46 time: 0.3822 data_time: 0.1236 memory: 8198 grad_norm: 5.0977 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5416 loss: 2.5416 2022/08/02 15:46:23 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 1.0000e-02 eta: 1 day, 13:11:40 time: 0.2894 data_time: 0.0218 memory: 8198 grad_norm: 5.0540 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4560 loss: 2.4560 2022/08/02 15:46:29 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 1.0000e-02 eta: 1 day, 13:11:30 time: 0.2811 data_time: 0.0255 memory: 8198 grad_norm: 5.0910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3190 loss: 2.3190 2022/08/02 15:46:34 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 1.0000e-02 eta: 1 day, 13:11:22 time: 0.2837 data_time: 0.0257 memory: 8198 grad_norm: 5.0935 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2784 loss: 2.2784 2022/08/02 15:46:40 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 1.0000e-02 eta: 1 day, 13:11:12 time: 0.2807 data_time: 0.0222 memory: 8198 grad_norm: 5.0582 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3292 loss: 2.3292 2022/08/02 15:46:46 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 1.0000e-02 eta: 1 day, 13:11:07 time: 0.2927 data_time: 0.0265 memory: 8198 grad_norm: 5.0970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2616 loss: 2.2616 2022/08/02 15:46:51 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 1.0000e-02 eta: 1 day, 13:10:58 time: 0.2832 data_time: 0.0223 memory: 8198 grad_norm: 4.9760 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9824 loss: 1.9824 2022/08/02 15:46:57 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 1.0000e-02 eta: 1 day, 13:10:49 time: 0.2827 data_time: 0.0252 memory: 8198 grad_norm: 5.0896 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4898 loss: 2.4898 2022/08/02 15:47:03 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 1.0000e-02 eta: 1 day, 13:10:40 time: 0.2833 data_time: 0.0243 memory: 8198 grad_norm: 4.9785 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2026 loss: 2.2026 2022/08/02 15:47:09 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 1.0000e-02 eta: 1 day, 13:10:35 time: 0.2912 data_time: 0.0225 memory: 8198 grad_norm: 5.0475 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3489 loss: 2.3489 2022/08/02 15:47:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:47:14 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 1.0000e-02 eta: 1 day, 13:10:24 time: 0.2793 data_time: 0.0245 memory: 8198 grad_norm: 5.1327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1268 loss: 2.1268 2022/08/02 15:47:20 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 1.0000e-02 eta: 1 day, 13:10:15 time: 0.2822 data_time: 0.0227 memory: 8198 grad_norm: 5.1399 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1509 loss: 2.1509 2022/08/02 15:47:26 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 1.0000e-02 eta: 1 day, 13:10:06 time: 0.2838 data_time: 0.0257 memory: 8198 grad_norm: 5.2214 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2710 loss: 2.2710 2022/08/02 15:47:31 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 1.0000e-02 eta: 1 day, 13:09:55 time: 0.2784 data_time: 0.0212 memory: 8198 grad_norm: 5.1138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5163 loss: 2.5163 2022/08/02 15:47:37 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 1.0000e-02 eta: 1 day, 13:09:45 time: 0.2810 data_time: 0.0263 memory: 8198 grad_norm: 5.0828 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5032 loss: 2.5032 2022/08/02 15:47:42 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 1.0000e-02 eta: 1 day, 13:09:37 time: 0.2858 data_time: 0.0239 memory: 8198 grad_norm: 5.0848 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3369 loss: 2.3369 2022/08/02 15:47:48 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 1.0000e-02 eta: 1 day, 13:09:27 time: 0.2809 data_time: 0.0260 memory: 8198 grad_norm: 5.1598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2206 loss: 2.2206 2022/08/02 15:47:54 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 1.0000e-02 eta: 1 day, 13:09:18 time: 0.2818 data_time: 0.0225 memory: 8198 grad_norm: 5.1461 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2390 loss: 2.2390 2022/08/02 15:47:59 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 1.0000e-02 eta: 1 day, 13:09:06 time: 0.2776 data_time: 0.0225 memory: 8198 grad_norm: 5.2375 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2961 loss: 2.2961 2022/08/02 15:48:05 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 1.0000e-02 eta: 1 day, 13:08:58 time: 0.2843 data_time: 0.0246 memory: 8198 grad_norm: 5.1696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3409 loss: 2.3409 2022/08/02 15:48:11 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 1.0000e-02 eta: 1 day, 13:08:49 time: 0.2835 data_time: 0.0252 memory: 8198 grad_norm: 4.9963 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2964 loss: 2.2964 2022/08/02 15:48:16 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 1.0000e-02 eta: 1 day, 13:08:39 time: 0.2810 data_time: 0.0199 memory: 8198 grad_norm: 5.1189 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2252 loss: 2.2252 2022/08/02 15:48:22 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 1.0000e-02 eta: 1 day, 13:08:31 time: 0.2847 data_time: 0.0244 memory: 8198 grad_norm: 5.0821 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3358 loss: 2.3358 2022/08/02 15:48:28 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 1.0000e-02 eta: 1 day, 13:08:20 time: 0.2788 data_time: 0.0202 memory: 8198 grad_norm: 4.9696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1787 loss: 2.1787 2022/08/02 15:48:33 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 1.0000e-02 eta: 1 day, 13:08:11 time: 0.2827 data_time: 0.0274 memory: 8198 grad_norm: 5.1258 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.4329 loss: 2.4329 2022/08/02 15:48:39 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 1.0000e-02 eta: 1 day, 13:08:02 time: 0.2829 data_time: 0.0216 memory: 8198 grad_norm: 5.0457 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3986 loss: 2.3986 2022/08/02 15:48:45 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 1.0000e-02 eta: 1 day, 13:07:59 time: 0.2958 data_time: 0.0217 memory: 8198 grad_norm: 5.1091 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2267 loss: 2.2267 2022/08/02 15:48:51 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 1.0000e-02 eta: 1 day, 13:07:54 time: 0.2912 data_time: 0.0279 memory: 8198 grad_norm: 5.0829 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1582 loss: 2.1582 2022/08/02 15:48:56 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 1.0000e-02 eta: 1 day, 13:07:46 time: 0.2846 data_time: 0.0232 memory: 8198 grad_norm: 5.1923 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.3682 loss: 2.3682 2022/08/02 15:49:02 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 1.0000e-02 eta: 1 day, 13:07:38 time: 0.2844 data_time: 0.0174 memory: 8198 grad_norm: 5.0061 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3706 loss: 2.3706 2022/08/02 15:49:08 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 1.0000e-02 eta: 1 day, 13:07:29 time: 0.2823 data_time: 0.0270 memory: 8198 grad_norm: 5.3171 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4122 loss: 2.4122 2022/08/02 15:49:13 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 1.0000e-02 eta: 1 day, 13:07:19 time: 0.2816 data_time: 0.0233 memory: 8198 grad_norm: 5.1388 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3192 loss: 2.3192 2022/08/02 15:49:19 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 1.0000e-02 eta: 1 day, 13:07:11 time: 0.2840 data_time: 0.0215 memory: 8198 grad_norm: 4.9677 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2881 loss: 2.2881 2022/08/02 15:49:25 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 1.0000e-02 eta: 1 day, 13:07:04 time: 0.2865 data_time: 0.0203 memory: 8198 grad_norm: 5.0408 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3621 loss: 2.3621 2022/08/02 15:49:30 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 1.0000e-02 eta: 1 day, 13:06:54 time: 0.2816 data_time: 0.0227 memory: 8198 grad_norm: 5.0476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2779 loss: 2.2779 2022/08/02 15:49:36 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 1.0000e-02 eta: 1 day, 13:06:47 time: 0.2866 data_time: 0.0286 memory: 8198 grad_norm: 5.2084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3233 loss: 2.3233 2022/08/02 15:49:42 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 1.0000e-02 eta: 1 day, 13:06:40 time: 0.2881 data_time: 0.0232 memory: 8198 grad_norm: 5.0698 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2703 loss: 2.2703 2022/08/02 15:49:47 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 1.0000e-02 eta: 1 day, 13:06:29 time: 0.2782 data_time: 0.0176 memory: 8198 grad_norm: 4.9329 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1677 loss: 2.1677 2022/08/02 15:49:53 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 1.0000e-02 eta: 1 day, 13:06:19 time: 0.2805 data_time: 0.0222 memory: 8198 grad_norm: 5.0460 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2568 loss: 2.2568 2022/08/02 15:49:59 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 1.0000e-02 eta: 1 day, 13:06:10 time: 0.2811 data_time: 0.0245 memory: 8198 grad_norm: 5.0211 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1580 loss: 2.1580 2022/08/02 15:50:04 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 1.0000e-02 eta: 1 day, 13:06:04 time: 0.2905 data_time: 0.0302 memory: 8198 grad_norm: 5.0027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3857 loss: 2.3857 2022/08/02 15:50:10 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 1.0000e-02 eta: 1 day, 13:05:55 time: 0.2811 data_time: 0.0195 memory: 8198 grad_norm: 5.0986 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4105 loss: 2.4105 2022/08/02 15:50:16 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 1.0000e-02 eta: 1 day, 13:05:49 time: 0.2891 data_time: 0.0254 memory: 8198 grad_norm: 5.1227 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3345 loss: 2.3345 2022/08/02 15:50:22 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 1.0000e-02 eta: 1 day, 13:05:42 time: 0.2876 data_time: 0.0225 memory: 8198 grad_norm: 4.9862 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2104 loss: 2.2104 2022/08/02 15:50:27 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 1.0000e-02 eta: 1 day, 13:05:33 time: 0.2824 data_time: 0.0254 memory: 8198 grad_norm: 5.1066 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3264 loss: 2.3264 2022/08/02 15:50:33 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 1.0000e-02 eta: 1 day, 13:05:24 time: 0.2823 data_time: 0.0226 memory: 8198 grad_norm: 5.1641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3674 loss: 2.3674 2022/08/02 15:50:39 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 1.0000e-02 eta: 1 day, 13:05:16 time: 0.2845 data_time: 0.0269 memory: 8198 grad_norm: 5.0576 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2659 loss: 2.2659 2022/08/02 15:50:44 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 1.0000e-02 eta: 1 day, 13:05:12 time: 0.2936 data_time: 0.0211 memory: 8198 grad_norm: 4.9202 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1492 loss: 2.1492 2022/08/02 15:50:50 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 1.0000e-02 eta: 1 day, 13:05:01 time: 0.2785 data_time: 0.0199 memory: 8198 grad_norm: 5.0312 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2906 loss: 2.2906 2022/08/02 15:50:56 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 1.0000e-02 eta: 1 day, 13:04:54 time: 0.2878 data_time: 0.0303 memory: 8198 grad_norm: 5.2411 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1355 loss: 2.1355 2022/08/02 15:51:02 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 1.0000e-02 eta: 1 day, 13:04:50 time: 0.2920 data_time: 0.0217 memory: 8198 grad_norm: 5.1639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5065 loss: 2.5065 2022/08/02 15:51:07 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 1.0000e-02 eta: 1 day, 13:04:40 time: 0.2816 data_time: 0.0237 memory: 8198 grad_norm: 5.1149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1723 loss: 2.1723 2022/08/02 15:51:13 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 1.0000e-02 eta: 1 day, 13:04:32 time: 0.2836 data_time: 0.0259 memory: 8198 grad_norm: 4.9176 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2537 loss: 2.2537 2022/08/02 15:51:19 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 1.0000e-02 eta: 1 day, 13:04:23 time: 0.2825 data_time: 0.0269 memory: 8198 grad_norm: 4.9758 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2274 loss: 2.2274 2022/08/02 15:51:24 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 1.0000e-02 eta: 1 day, 13:04:15 time: 0.2858 data_time: 0.0211 memory: 8198 grad_norm: 5.0476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2774 loss: 2.2774 2022/08/02 15:51:30 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 1.0000e-02 eta: 1 day, 13:04:05 time: 0.2789 data_time: 0.0236 memory: 8198 grad_norm: 5.0436 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3425 loss: 2.3425 2022/08/02 15:51:35 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 1.0000e-02 eta: 1 day, 13:03:55 time: 0.2803 data_time: 0.0279 memory: 8198 grad_norm: 5.1559 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3739 loss: 2.3739 2022/08/02 15:51:41 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 1.0000e-02 eta: 1 day, 13:03:46 time: 0.2823 data_time: 0.0222 memory: 8198 grad_norm: 5.2113 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1424 loss: 2.1424 2022/08/02 15:51:47 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 1.0000e-02 eta: 1 day, 13:03:38 time: 0.2859 data_time: 0.0237 memory: 8198 grad_norm: 5.1207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1663 loss: 2.1663 2022/08/02 15:51:53 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 1.0000e-02 eta: 1 day, 13:03:35 time: 0.2943 data_time: 0.0351 memory: 8198 grad_norm: 5.0349 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5315 loss: 2.5315 2022/08/02 15:51:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:51:58 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 1.0000e-02 eta: 1 day, 13:03:25 time: 0.2807 data_time: 0.0286 memory: 8198 grad_norm: 4.9750 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2838 loss: 2.2838 2022/08/02 15:52:04 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 1.0000e-02 eta: 1 day, 13:03:14 time: 0.2793 data_time: 0.0224 memory: 8198 grad_norm: 5.0521 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3878 loss: 2.3878 2022/08/02 15:52:10 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 1.0000e-02 eta: 1 day, 13:03:06 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 5.0038 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.4873 loss: 2.4873 2022/08/02 15:52:15 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 1.0000e-02 eta: 1 day, 13:02:55 time: 0.2785 data_time: 0.0196 memory: 8198 grad_norm: 4.9712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3715 loss: 2.3715 2022/08/02 15:52:21 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 1.0000e-02 eta: 1 day, 13:02:47 time: 0.2843 data_time: 0.0208 memory: 8198 grad_norm: 5.1052 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3126 loss: 2.3126 2022/08/02 15:52:27 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 1.0000e-02 eta: 1 day, 13:02:39 time: 0.2862 data_time: 0.0213 memory: 8198 grad_norm: 4.9867 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1891 loss: 2.1891 2022/08/02 15:52:32 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 1.0000e-02 eta: 1 day, 13:02:34 time: 0.2892 data_time: 0.0217 memory: 8198 grad_norm: 5.0566 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.3337 loss: 2.3337 2022/08/02 15:52:38 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 1.0000e-02 eta: 1 day, 13:02:24 time: 0.2815 data_time: 0.0212 memory: 8198 grad_norm: 5.0430 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2061 loss: 2.2061 2022/08/02 15:52:44 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 1.0000e-02 eta: 1 day, 13:02:18 time: 0.2877 data_time: 0.0299 memory: 8198 grad_norm: 5.0316 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2036 loss: 2.2036 2022/08/02 15:52:49 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 1.0000e-02 eta: 1 day, 13:02:07 time: 0.2792 data_time: 0.0188 memory: 8198 grad_norm: 5.0869 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2531 loss: 2.2531 2022/08/02 15:52:55 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 1.0000e-02 eta: 1 day, 13:01:57 time: 0.2790 data_time: 0.0238 memory: 8198 grad_norm: 4.9833 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2188 loss: 2.2188 2022/08/02 15:53:01 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 1.0000e-02 eta: 1 day, 13:01:48 time: 0.2825 data_time: 0.0258 memory: 8198 grad_norm: 5.1004 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1932 loss: 2.1932 2022/08/02 15:53:06 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 1.0000e-02 eta: 1 day, 13:01:39 time: 0.2820 data_time: 0.0262 memory: 8198 grad_norm: 5.0896 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1618 loss: 2.1618 2022/08/02 15:53:12 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 1.0000e-02 eta: 1 day, 13:01:34 time: 0.2911 data_time: 0.0220 memory: 8198 grad_norm: 5.0136 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4203 loss: 2.4203 2022/08/02 15:53:18 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 1.0000e-02 eta: 1 day, 13:01:24 time: 0.2798 data_time: 0.0206 memory: 8198 grad_norm: 5.0268 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2903 loss: 2.2903 2022/08/02 15:53:23 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 1.0000e-02 eta: 1 day, 13:01:15 time: 0.2839 data_time: 0.0223 memory: 8198 grad_norm: 5.0812 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3317 loss: 2.3317 2022/08/02 15:53:29 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 1.0000e-02 eta: 1 day, 13:01:06 time: 0.2814 data_time: 0.0223 memory: 8198 grad_norm: 4.8811 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3626 loss: 2.3626 2022/08/02 15:53:35 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 1.0000e-02 eta: 1 day, 13:00:58 time: 0.2837 data_time: 0.0183 memory: 8198 grad_norm: 4.9121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3395 loss: 2.3395 2022/08/02 15:53:40 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 1.0000e-02 eta: 1 day, 13:00:51 time: 0.2865 data_time: 0.0242 memory: 8198 grad_norm: 5.0266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1970 loss: 2.1970 2022/08/02 15:53:46 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 1.0000e-02 eta: 1 day, 13:00:40 time: 0.2792 data_time: 0.0217 memory: 8198 grad_norm: 5.1442 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4184 loss: 2.4184 2022/08/02 15:53:52 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 1.0000e-02 eta: 1 day, 13:00:33 time: 0.2859 data_time: 0.0269 memory: 8198 grad_norm: 5.0136 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3886 loss: 2.3886 2022/08/02 15:53:57 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 1.0000e-02 eta: 1 day, 13:00:24 time: 0.2815 data_time: 0.0212 memory: 8198 grad_norm: 4.9861 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1697 loss: 2.1697 2022/08/02 15:54:03 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 1.0000e-02 eta: 1 day, 13:00:15 time: 0.2823 data_time: 0.0248 memory: 8198 grad_norm: 5.0084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1642 loss: 2.1642 2022/08/02 15:54:09 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 1.0000e-02 eta: 1 day, 13:00:05 time: 0.2801 data_time: 0.0244 memory: 8198 grad_norm: 5.0703 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3354 loss: 2.3354 2022/08/02 15:54:14 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:59:55 time: 0.2806 data_time: 0.0242 memory: 8198 grad_norm: 5.0172 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3749 loss: 2.3749 2022/08/02 15:54:20 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:59:45 time: 0.2798 data_time: 0.0221 memory: 8198 grad_norm: 4.9521 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0316 loss: 2.0316 2022/08/02 15:54:26 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:59:42 time: 0.2935 data_time: 0.0230 memory: 8198 grad_norm: 4.9962 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.4008 loss: 2.4008 2022/08/02 15:54:31 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:59:31 time: 0.2793 data_time: 0.0248 memory: 8198 grad_norm: 4.9741 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3071 loss: 2.3071 2022/08/02 15:54:37 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:59:23 time: 0.2833 data_time: 0.0225 memory: 8198 grad_norm: 5.1067 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5404 loss: 2.5404 2022/08/02 15:54:43 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:59:17 time: 0.2899 data_time: 0.0230 memory: 8198 grad_norm: 5.0727 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3192 loss: 2.3192 2022/08/02 15:54:48 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:59:07 time: 0.2794 data_time: 0.0250 memory: 8198 grad_norm: 5.0549 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2939 loss: 2.2939 2022/08/02 15:54:54 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:59:01 time: 0.2887 data_time: 0.0315 memory: 8198 grad_norm: 4.9506 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4220 loss: 2.4220 2022/08/02 15:55:00 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:58:54 time: 0.2863 data_time: 0.0191 memory: 8198 grad_norm: 5.0194 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.1985 loss: 2.1985 2022/08/02 15:55:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:55:05 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:58:54 time: 0.2603 data_time: 0.0153 memory: 8198 grad_norm: 5.2361 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.1383 loss: 2.1383 2022/08/02 15:55:13 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 1.0000e-02 eta: 1 day, 12:57:30 time: 0.3992 data_time: 0.1025 memory: 8198 grad_norm: 5.1143 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2774 loss: 2.2774 2022/08/02 15:55:18 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 1.0000e-02 eta: 1 day, 12:57:22 time: 0.2848 data_time: 0.0240 memory: 8198 grad_norm: 5.0857 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2940 loss: 2.2940 2022/08/02 15:55:24 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 1.0000e-02 eta: 1 day, 12:57:15 time: 0.2866 data_time: 0.0272 memory: 8198 grad_norm: 5.0721 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2881 loss: 2.2881 2022/08/02 15:55:30 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 1.0000e-02 eta: 1 day, 12:57:06 time: 0.2809 data_time: 0.0223 memory: 8198 grad_norm: 5.1328 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2907 loss: 2.2907 2022/08/02 15:55:35 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 1.0000e-02 eta: 1 day, 12:56:57 time: 0.2825 data_time: 0.0227 memory: 8198 grad_norm: 5.0584 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3446 loss: 2.3446 2022/08/02 15:55:41 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 1.0000e-02 eta: 1 day, 12:56:47 time: 0.2796 data_time: 0.0223 memory: 8198 grad_norm: 4.9352 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3132 loss: 2.3132 2022/08/02 15:55:47 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 1.0000e-02 eta: 1 day, 12:56:40 time: 0.2868 data_time: 0.0244 memory: 8198 grad_norm: 5.1439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1990 loss: 2.1990 2022/08/02 15:55:53 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 1.0000e-02 eta: 1 day, 12:56:33 time: 0.2856 data_time: 0.0230 memory: 8198 grad_norm: 5.0277 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2754 loss: 2.2754 2022/08/02 15:55:58 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 1.0000e-02 eta: 1 day, 12:56:25 time: 0.2846 data_time: 0.0228 memory: 8198 grad_norm: 5.0949 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0941 loss: 2.0941 2022/08/02 15:56:04 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 1.0000e-02 eta: 1 day, 12:56:19 time: 0.2878 data_time: 0.0289 memory: 8198 grad_norm: 4.7767 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0922 loss: 2.0922 2022/08/02 15:56:10 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 1.0000e-02 eta: 1 day, 12:56:11 time: 0.2839 data_time: 0.0258 memory: 8198 grad_norm: 4.9389 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4795 loss: 2.4795 2022/08/02 15:56:15 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 1.0000e-02 eta: 1 day, 12:56:03 time: 0.2835 data_time: 0.0163 memory: 8198 grad_norm: 4.9699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2986 loss: 2.2986 2022/08/02 15:56:21 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 1.0000e-02 eta: 1 day, 12:55:56 time: 0.2867 data_time: 0.0243 memory: 8198 grad_norm: 4.9533 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0865 loss: 2.0865 2022/08/02 15:56:27 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 1.0000e-02 eta: 1 day, 12:55:47 time: 0.2823 data_time: 0.0229 memory: 8198 grad_norm: 5.0356 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3420 loss: 2.3420 2022/08/02 15:56:32 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 1.0000e-02 eta: 1 day, 12:55:41 time: 0.2882 data_time: 0.0252 memory: 8198 grad_norm: 5.0456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2198 loss: 2.2198 2022/08/02 15:56:38 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 1.0000e-02 eta: 1 day, 12:55:31 time: 0.2802 data_time: 0.0261 memory: 8198 grad_norm: 5.0434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1959 loss: 2.1959 2022/08/02 15:56:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 15:56:44 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 1.0000e-02 eta: 1 day, 12:55:26 time: 0.2891 data_time: 0.0241 memory: 8198 grad_norm: 5.1695 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2046 loss: 2.2046 2022/08/02 15:56:49 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 1.0000e-02 eta: 1 day, 12:55:16 time: 0.2797 data_time: 0.0236 memory: 8198 grad_norm: 5.0028 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3212 loss: 2.3212 2022/08/02 15:56:55 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 1.0000e-02 eta: 1 day, 12:55:10 time: 0.2892 data_time: 0.0299 memory: 8198 grad_norm: 5.0879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4086 loss: 2.4086 2022/08/02 15:57:01 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 1.0000e-02 eta: 1 day, 12:55:00 time: 0.2793 data_time: 0.0214 memory: 8198 grad_norm: 5.0595 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2701 loss: 2.2701 2022/08/02 15:57:07 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 1.0000e-02 eta: 1 day, 12:54:54 time: 0.2881 data_time: 0.0205 memory: 8198 grad_norm: 5.0160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4161 loss: 2.4161 2022/08/02 15:57:12 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 1.0000e-02 eta: 1 day, 12:54:47 time: 0.2863 data_time: 0.0225 memory: 8198 grad_norm: 5.0839 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3041 loss: 2.3041 2022/08/02 15:57:18 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 1.0000e-02 eta: 1 day, 12:54:37 time: 0.2787 data_time: 0.0194 memory: 8198 grad_norm: 4.9926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2688 loss: 2.2688 2022/08/02 15:57:24 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 1.0000e-02 eta: 1 day, 12:54:30 time: 0.2855 data_time: 0.0269 memory: 8198 grad_norm: 4.9800 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1834 loss: 2.1834 2022/08/02 15:57:29 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 1.0000e-02 eta: 1 day, 12:54:20 time: 0.2802 data_time: 0.0218 memory: 8198 grad_norm: 5.1344 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1570 loss: 2.1570 2022/08/02 15:57:35 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 1.0000e-02 eta: 1 day, 12:54:13 time: 0.2857 data_time: 0.0231 memory: 8198 grad_norm: 5.1161 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3922 loss: 2.3922 2022/08/02 15:57:41 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 1.0000e-02 eta: 1 day, 12:54:04 time: 0.2826 data_time: 0.0249 memory: 8198 grad_norm: 5.2091 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4281 loss: 2.4281 2022/08/02 15:57:46 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 1.0000e-02 eta: 1 day, 12:53:56 time: 0.2842 data_time: 0.0225 memory: 8198 grad_norm: 4.9806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3371 loss: 2.3371 2022/08/02 15:57:52 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 1.0000e-02 eta: 1 day, 12:53:52 time: 0.2925 data_time: 0.0249 memory: 8198 grad_norm: 5.1870 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1734 loss: 2.1734 2022/08/02 15:57:58 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 1.0000e-02 eta: 1 day, 12:53:43 time: 0.2816 data_time: 0.0254 memory: 8198 grad_norm: 5.0620 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4931 loss: 2.4931 2022/08/02 15:58:03 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 1.0000e-02 eta: 1 day, 12:53:36 time: 0.2860 data_time: 0.0227 memory: 8198 grad_norm: 5.1303 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0864 loss: 2.0864 2022/08/02 15:58:09 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 1.0000e-02 eta: 1 day, 12:53:27 time: 0.2814 data_time: 0.0275 memory: 8198 grad_norm: 5.1444 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3894 loss: 2.3894 2022/08/02 15:58:15 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 1.0000e-02 eta: 1 day, 12:53:19 time: 0.2832 data_time: 0.0197 memory: 8198 grad_norm: 5.0451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1512 loss: 2.1512 2022/08/02 15:58:20 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 1.0000e-02 eta: 1 day, 12:53:11 time: 0.2830 data_time: 0.0212 memory: 8198 grad_norm: 4.9710 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3310 loss: 2.3310 2022/08/02 15:58:26 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 1.0000e-02 eta: 1 day, 12:53:04 time: 0.2869 data_time: 0.0277 memory: 8198 grad_norm: 4.8351 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3058 loss: 2.3058 2022/08/02 15:58:32 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 1.0000e-02 eta: 1 day, 12:52:59 time: 0.2903 data_time: 0.0233 memory: 8198 grad_norm: 5.0131 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3346 loss: 2.3346 2022/08/02 15:58:38 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 1.0000e-02 eta: 1 day, 12:52:49 time: 0.2797 data_time: 0.0211 memory: 8198 grad_norm: 5.0619 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1283 loss: 2.1283 2022/08/02 15:58:43 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 1.0000e-02 eta: 1 day, 12:52:42 time: 0.2856 data_time: 0.0218 memory: 8198 grad_norm: 5.0604 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.3104 loss: 2.3104 2022/08/02 15:58:49 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 1.0000e-02 eta: 1 day, 12:52:33 time: 0.2815 data_time: 0.0253 memory: 8198 grad_norm: 5.0210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3721 loss: 2.3721 2022/08/02 15:58:55 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 1.0000e-02 eta: 1 day, 12:52:24 time: 0.2809 data_time: 0.0220 memory: 8198 grad_norm: 5.0657 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4239 loss: 2.4239 2022/08/02 15:59:00 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 1.0000e-02 eta: 1 day, 12:52:14 time: 0.2799 data_time: 0.0224 memory: 8198 grad_norm: 5.0915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1949 loss: 2.1949 2022/08/02 15:59:06 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 1.0000e-02 eta: 1 day, 12:52:07 time: 0.2861 data_time: 0.0208 memory: 8198 grad_norm: 4.9386 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1097 loss: 2.1097 2022/08/02 15:59:12 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 1.0000e-02 eta: 1 day, 12:52:00 time: 0.2857 data_time: 0.0266 memory: 8198 grad_norm: 4.9730 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2607 loss: 2.2607 2022/08/02 15:59:17 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 1.0000e-02 eta: 1 day, 12:51:51 time: 0.2810 data_time: 0.0227 memory: 8198 grad_norm: 4.9840 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2535 loss: 2.2535 2022/08/02 15:59:23 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 1.0000e-02 eta: 1 day, 12:51:43 time: 0.2829 data_time: 0.0254 memory: 8198 grad_norm: 5.0165 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2922 loss: 2.2922 2022/08/02 15:59:29 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 1.0000e-02 eta: 1 day, 12:51:35 time: 0.2847 data_time: 0.0198 memory: 8198 grad_norm: 5.0835 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2723 loss: 2.2723 2022/08/02 15:59:34 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 1.0000e-02 eta: 1 day, 12:51:28 time: 0.2860 data_time: 0.0215 memory: 8198 grad_norm: 5.1289 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3422 loss: 2.3422 2022/08/02 15:59:40 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 1.0000e-02 eta: 1 day, 12:51:18 time: 0.2794 data_time: 0.0216 memory: 8198 grad_norm: 5.1304 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3413 loss: 2.3413 2022/08/02 15:59:46 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 1.0000e-02 eta: 1 day, 12:51:10 time: 0.2826 data_time: 0.0218 memory: 8198 grad_norm: 5.0172 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0758 loss: 2.0758 2022/08/02 15:59:51 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:51:00 time: 0.2795 data_time: 0.0221 memory: 8198 grad_norm: 5.0084 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.2355 loss: 2.2355 2022/08/02 15:59:57 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:50:53 time: 0.2844 data_time: 0.0257 memory: 8198 grad_norm: 4.9480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1644 loss: 2.1644 2022/08/02 16:00:02 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:50:43 time: 0.2795 data_time: 0.0234 memory: 8198 grad_norm: 4.8649 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3403 loss: 2.3403 2022/08/02 16:00:08 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:50:34 time: 0.2815 data_time: 0.0247 memory: 8198 grad_norm: 4.9613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1814 loss: 2.1814 2022/08/02 16:00:14 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:50:25 time: 0.2809 data_time: 0.0249 memory: 8198 grad_norm: 5.0112 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3969 loss: 2.3969 2022/08/02 16:00:19 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:50:16 time: 0.2823 data_time: 0.0261 memory: 8198 grad_norm: 5.2294 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3914 loss: 2.3914 2022/08/02 16:00:25 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:50:11 time: 0.2894 data_time: 0.0256 memory: 8198 grad_norm: 5.0010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3682 loss: 2.3682 2022/08/02 16:00:31 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:50:02 time: 0.2810 data_time: 0.0285 memory: 8198 grad_norm: 4.9858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0834 loss: 2.0834 2022/08/02 16:00:36 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:49:54 time: 0.2846 data_time: 0.0218 memory: 8198 grad_norm: 4.9374 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2085 loss: 2.2085 2022/08/02 16:00:42 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:49:47 time: 0.2852 data_time: 0.0280 memory: 8198 grad_norm: 4.9984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2865 loss: 2.2865 2022/08/02 16:00:48 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:49:37 time: 0.2782 data_time: 0.0220 memory: 8198 grad_norm: 5.0654 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1674 loss: 2.1674 2022/08/02 16:00:53 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:49:29 time: 0.2847 data_time: 0.0361 memory: 8198 grad_norm: 5.0805 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.3796 loss: 2.3796 2022/08/02 16:00:59 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:49:20 time: 0.2796 data_time: 0.0238 memory: 8198 grad_norm: 5.0095 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3627 loss: 2.3627 2022/08/02 16:01:05 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:49:13 time: 0.2861 data_time: 0.0275 memory: 8198 grad_norm: 5.0146 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3045 loss: 2.3045 2022/08/02 16:01:10 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:49:04 time: 0.2816 data_time: 0.0229 memory: 8198 grad_norm: 5.0911 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2120 loss: 2.2120 2022/08/02 16:01:16 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:48:54 time: 0.2782 data_time: 0.0219 memory: 8198 grad_norm: 5.0786 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2478 loss: 2.2478 2022/08/02 16:01:22 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:48:46 time: 0.2844 data_time: 0.0243 memory: 8198 grad_norm: 4.9696 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2449 loss: 2.2449 2022/08/02 16:01:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:01:27 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:48:40 time: 0.2872 data_time: 0.0210 memory: 8198 grad_norm: 5.0495 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2797 loss: 2.2797 2022/08/02 16:01:33 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:48:35 time: 0.2895 data_time: 0.0208 memory: 8198 grad_norm: 5.0766 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2639 loss: 2.2639 2022/08/02 16:01:39 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:48:23 time: 0.2749 data_time: 0.0216 memory: 8198 grad_norm: 5.0306 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3031 loss: 2.3031 2022/08/02 16:01:44 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:48:14 time: 0.2813 data_time: 0.0207 memory: 8198 grad_norm: 4.9005 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1688 loss: 2.1688 2022/08/02 16:01:50 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:48:05 time: 0.2800 data_time: 0.0276 memory: 8198 grad_norm: 4.9277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1619 loss: 2.1619 2022/08/02 16:01:56 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:47:58 time: 0.2862 data_time: 0.0240 memory: 8198 grad_norm: 5.0321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1533 loss: 2.1533 2022/08/02 16:02:01 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:47:50 time: 0.2825 data_time: 0.0242 memory: 8198 grad_norm: 4.9995 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2337 loss: 2.2337 2022/08/02 16:02:07 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:47:41 time: 0.2827 data_time: 0.0199 memory: 8198 grad_norm: 4.9955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3168 loss: 2.3168 2022/08/02 16:02:13 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:47:34 time: 0.2848 data_time: 0.0259 memory: 8198 grad_norm: 5.0512 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1587 loss: 2.1587 2022/08/02 16:02:18 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:47:23 time: 0.2772 data_time: 0.0187 memory: 8198 grad_norm: 4.8682 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1736 loss: 2.1736 2022/08/02 16:02:24 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:47:15 time: 0.2814 data_time: 0.0234 memory: 8198 grad_norm: 4.9661 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2444 loss: 2.2444 2022/08/02 16:02:29 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:47:07 time: 0.2833 data_time: 0.0218 memory: 8198 grad_norm: 4.8896 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3410 loss: 2.3410 2022/08/02 16:02:35 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:47:02 time: 0.2908 data_time: 0.0183 memory: 8198 grad_norm: 4.9298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0711 loss: 2.0711 2022/08/02 16:02:41 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:46:54 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 5.0773 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3117 loss: 2.3117 2022/08/02 16:02:47 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:46:45 time: 0.2814 data_time: 0.0244 memory: 8198 grad_norm: 5.0252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2737 loss: 2.2737 2022/08/02 16:02:52 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:46:39 time: 0.2882 data_time: 0.0234 memory: 8198 grad_norm: 4.8795 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2487 loss: 2.2487 2022/08/02 16:02:58 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:46:30 time: 0.2807 data_time: 0.0256 memory: 8198 grad_norm: 4.9838 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0930 loss: 2.0930 2022/08/02 16:03:04 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:46:21 time: 0.2787 data_time: 0.0205 memory: 8198 grad_norm: 5.0244 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1035 loss: 2.1035 2022/08/02 16:03:09 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:46:11 time: 0.2796 data_time: 0.0208 memory: 8198 grad_norm: 5.0173 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1945 loss: 2.1945 2022/08/02 16:03:15 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:46:12 time: 0.3053 data_time: 0.0243 memory: 8198 grad_norm: 4.9425 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2451 loss: 2.2451 2022/08/02 16:03:21 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:46:02 time: 0.2768 data_time: 0.0224 memory: 8198 grad_norm: 4.8961 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2337 loss: 2.2337 2022/08/02 16:03:27 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:45:55 time: 0.2871 data_time: 0.0227 memory: 8198 grad_norm: 5.0291 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9643 loss: 1.9643 2022/08/02 16:03:33 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:45:58 time: 0.3103 data_time: 0.0203 memory: 8198 grad_norm: 4.9159 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2947 loss: 2.2947 2022/08/02 16:03:38 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:45:47 time: 0.2750 data_time: 0.0156 memory: 8198 grad_norm: 4.9772 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.2287 loss: 2.2287 2022/08/02 16:03:44 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:45:36 time: 0.2768 data_time: 0.0278 memory: 8198 grad_norm: 5.0732 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1613 loss: 2.1613 2022/08/02 16:03:49 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:45:28 time: 0.2818 data_time: 0.0216 memory: 8198 grad_norm: 5.1119 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4037 loss: 2.4037 2022/08/02 16:03:55 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:45:22 time: 0.2876 data_time: 0.0262 memory: 8198 grad_norm: 4.9312 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3386 loss: 2.3386 2022/08/02 16:04:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:04:00 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:45:22 time: 0.2538 data_time: 0.0146 memory: 8198 grad_norm: 5.1908 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.2945 loss: 2.2945 2022/08/02 16:04:00 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/02 16:04:10 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 1.0000e-02 eta: 1 day, 12:43:53 time: 0.3717 data_time: 0.1134 memory: 8198 grad_norm: 4.8753 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1196 loss: 2.1196 2022/08/02 16:04:16 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 1.0000e-02 eta: 1 day, 12:43:54 time: 0.3053 data_time: 0.0234 memory: 8198 grad_norm: 4.9465 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1424 loss: 2.1424 2022/08/02 16:04:21 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 1.0000e-02 eta: 1 day, 12:43:45 time: 0.2818 data_time: 0.0194 memory: 8198 grad_norm: 4.9884 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2416 loss: 2.2416 2022/08/02 16:04:27 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 1.0000e-02 eta: 1 day, 12:43:37 time: 0.2812 data_time: 0.0233 memory: 8198 grad_norm: 4.9358 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.4009 loss: 2.4009 2022/08/02 16:04:33 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 1.0000e-02 eta: 1 day, 12:43:30 time: 0.2866 data_time: 0.0278 memory: 8198 grad_norm: 5.0883 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1781 loss: 2.1781 2022/08/02 16:04:38 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 1.0000e-02 eta: 1 day, 12:43:22 time: 0.2816 data_time: 0.0219 memory: 8198 grad_norm: 5.0987 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2596 loss: 2.2596 2022/08/02 16:04:44 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 1.0000e-02 eta: 1 day, 12:43:15 time: 0.2862 data_time: 0.0224 memory: 8198 grad_norm: 4.9860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2755 loss: 2.2755 2022/08/02 16:04:50 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 1.0000e-02 eta: 1 day, 12:43:07 time: 0.2818 data_time: 0.0230 memory: 8198 grad_norm: 5.0491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2348 loss: 2.2348 2022/08/02 16:04:56 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 1.0000e-02 eta: 1 day, 12:43:00 time: 0.2864 data_time: 0.0281 memory: 8198 grad_norm: 4.8997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1063 loss: 2.1063 2022/08/02 16:05:01 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 1.0000e-02 eta: 1 day, 12:42:52 time: 0.2823 data_time: 0.0226 memory: 8198 grad_norm: 4.9600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2960 loss: 2.2960 2022/08/02 16:05:07 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 1.0000e-02 eta: 1 day, 12:42:46 time: 0.2897 data_time: 0.0273 memory: 8198 grad_norm: 5.1695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0613 loss: 2.0613 2022/08/02 16:05:13 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 1.0000e-02 eta: 1 day, 12:42:39 time: 0.2849 data_time: 0.0186 memory: 8198 grad_norm: 4.8816 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1191 loss: 2.1191 2022/08/02 16:05:18 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 1.0000e-02 eta: 1 day, 12:42:32 time: 0.2850 data_time: 0.0326 memory: 8198 grad_norm: 5.0669 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2355 loss: 2.2355 2022/08/02 16:05:24 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 1.0000e-02 eta: 1 day, 12:42:23 time: 0.2806 data_time: 0.0210 memory: 8198 grad_norm: 5.1010 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0183 loss: 2.0183 2022/08/02 16:05:30 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 1.0000e-02 eta: 1 day, 12:42:13 time: 0.2763 data_time: 0.0228 memory: 8198 grad_norm: 5.0487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0488 loss: 2.0488 2022/08/02 16:05:35 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 1.0000e-02 eta: 1 day, 12:42:04 time: 0.2804 data_time: 0.0223 memory: 8198 grad_norm: 4.9269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2240 loss: 2.2240 2022/08/02 16:05:41 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 1.0000e-02 eta: 1 day, 12:41:55 time: 0.2819 data_time: 0.0237 memory: 8198 grad_norm: 4.9493 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2441 loss: 2.2441 2022/08/02 16:05:47 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 1.0000e-02 eta: 1 day, 12:41:53 time: 0.2982 data_time: 0.0201 memory: 8198 grad_norm: 4.9477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0774 loss: 2.0774 2022/08/02 16:05:52 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 1.0000e-02 eta: 1 day, 12:41:45 time: 0.2820 data_time: 0.0239 memory: 8198 grad_norm: 4.9238 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1509 loss: 2.1509 2022/08/02 16:05:58 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 1.0000e-02 eta: 1 day, 12:41:36 time: 0.2799 data_time: 0.0233 memory: 8198 grad_norm: 4.9345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9263 loss: 1.9263 2022/08/02 16:06:04 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 1.0000e-02 eta: 1 day, 12:41:27 time: 0.2793 data_time: 0.0304 memory: 8198 grad_norm: 5.1199 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2819 loss: 2.2819 2022/08/02 16:06:09 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 1.0000e-02 eta: 1 day, 12:41:18 time: 0.2818 data_time: 0.0273 memory: 8198 grad_norm: 5.0601 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3656 loss: 2.3656 2022/08/02 16:06:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:06:15 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 1.0000e-02 eta: 1 day, 12:41:09 time: 0.2810 data_time: 0.0223 memory: 8198 grad_norm: 5.0122 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1362 loss: 2.1362 2022/08/02 16:06:20 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 1.0000e-02 eta: 1 day, 12:41:00 time: 0.2795 data_time: 0.0242 memory: 8198 grad_norm: 5.0069 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4122 loss: 2.4122 2022/08/02 16:06:26 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 1.0000e-02 eta: 1 day, 12:40:53 time: 0.2837 data_time: 0.0261 memory: 8198 grad_norm: 5.0398 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1132 loss: 2.1132 2022/08/02 16:06:32 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 1.0000e-02 eta: 1 day, 12:40:43 time: 0.2791 data_time: 0.0236 memory: 8198 grad_norm: 5.0406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3687 loss: 2.3687 2022/08/02 16:06:37 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 1.0000e-02 eta: 1 day, 12:40:36 time: 0.2851 data_time: 0.0268 memory: 8198 grad_norm: 4.9967 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2622 loss: 2.2622 2022/08/02 16:06:43 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 1.0000e-02 eta: 1 day, 12:40:33 time: 0.2960 data_time: 0.0231 memory: 8198 grad_norm: 4.9388 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3606 loss: 2.3606 2022/08/02 16:06:49 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 1.0000e-02 eta: 1 day, 12:40:24 time: 0.2782 data_time: 0.0206 memory: 8198 grad_norm: 5.0290 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1732 loss: 2.1732 2022/08/02 16:06:55 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 1.0000e-02 eta: 1 day, 12:40:15 time: 0.2819 data_time: 0.0181 memory: 8198 grad_norm: 4.9348 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.5082 loss: 2.5082 2022/08/02 16:07:00 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 1.0000e-02 eta: 1 day, 12:40:08 time: 0.2835 data_time: 0.0247 memory: 8198 grad_norm: 4.9010 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4265 loss: 2.4265 2022/08/02 16:07:06 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 1.0000e-02 eta: 1 day, 12:40:00 time: 0.2829 data_time: 0.0235 memory: 8198 grad_norm: 4.8698 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3700 loss: 2.3700 2022/08/02 16:07:12 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 1.0000e-02 eta: 1 day, 12:39:53 time: 0.2857 data_time: 0.0266 memory: 8198 grad_norm: 4.8866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2575 loss: 2.2575 2022/08/02 16:07:17 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 1.0000e-02 eta: 1 day, 12:39:49 time: 0.2930 data_time: 0.0173 memory: 8198 grad_norm: 4.9971 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3149 loss: 2.3149 2022/08/02 16:07:23 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 1.0000e-02 eta: 1 day, 12:39:42 time: 0.2862 data_time: 0.0251 memory: 8198 grad_norm: 5.0059 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3033 loss: 2.3033 2022/08/02 16:07:29 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 1.0000e-02 eta: 1 day, 12:39:34 time: 0.2816 data_time: 0.0205 memory: 8198 grad_norm: 5.0010 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1423 loss: 2.1423 2022/08/02 16:07:34 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 1.0000e-02 eta: 1 day, 12:39:27 time: 0.2852 data_time: 0.0256 memory: 8198 grad_norm: 4.9370 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1898 loss: 2.1898 2022/08/02 16:07:40 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 1.0000e-02 eta: 1 day, 12:39:17 time: 0.2781 data_time: 0.0204 memory: 8198 grad_norm: 5.0487 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3439 loss: 2.3439 2022/08/02 16:07:46 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 1.0000e-02 eta: 1 day, 12:39:09 time: 0.2814 data_time: 0.0205 memory: 8198 grad_norm: 4.9831 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1840 loss: 2.1840 2022/08/02 16:07:51 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 1.0000e-02 eta: 1 day, 12:39:00 time: 0.2799 data_time: 0.0229 memory: 8198 grad_norm: 4.9911 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3161 loss: 2.3161 2022/08/02 16:07:57 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 1.0000e-02 eta: 1 day, 12:38:52 time: 0.2842 data_time: 0.0222 memory: 8198 grad_norm: 5.0015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3153 loss: 2.3153 2022/08/02 16:08:03 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 1.0000e-02 eta: 1 day, 12:38:45 time: 0.2831 data_time: 0.0201 memory: 8198 grad_norm: 4.9327 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1247 loss: 2.1247 2022/08/02 16:08:08 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 1.0000e-02 eta: 1 day, 12:38:36 time: 0.2822 data_time: 0.0229 memory: 8198 grad_norm: 5.0605 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2185 loss: 2.2185 2022/08/02 16:08:14 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 1.0000e-02 eta: 1 day, 12:38:30 time: 0.2873 data_time: 0.0250 memory: 8198 grad_norm: 4.9208 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0619 loss: 2.0619 2022/08/02 16:08:20 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 1.0000e-02 eta: 1 day, 12:38:22 time: 0.2826 data_time: 0.0205 memory: 8198 grad_norm: 5.0301 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2229 loss: 2.2229 2022/08/02 16:08:25 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 1.0000e-02 eta: 1 day, 12:38:15 time: 0.2832 data_time: 0.0189 memory: 8198 grad_norm: 4.9284 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0920 loss: 2.0920 2022/08/02 16:08:31 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 1.0000e-02 eta: 1 day, 12:38:09 time: 0.2881 data_time: 0.0220 memory: 8198 grad_norm: 5.0477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1610 loss: 2.1610 2022/08/02 16:08:37 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 1.0000e-02 eta: 1 day, 12:38:01 time: 0.2833 data_time: 0.0226 memory: 8198 grad_norm: 4.9735 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1139 loss: 2.1139 2022/08/02 16:08:43 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 1.0000e-02 eta: 1 day, 12:37:56 time: 0.2902 data_time: 0.0220 memory: 8198 grad_norm: 4.9536 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1448 loss: 2.1448 2022/08/02 16:08:48 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:37:49 time: 0.2844 data_time: 0.0254 memory: 8198 grad_norm: 4.9071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0187 loss: 2.0187 2022/08/02 16:08:54 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:37:46 time: 0.2959 data_time: 0.0225 memory: 8198 grad_norm: 4.9620 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3542 loss: 2.3542 2022/08/02 16:09:00 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:37:37 time: 0.2790 data_time: 0.0262 memory: 8198 grad_norm: 4.9778 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3837 loss: 2.3837 2022/08/02 16:09:06 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:37:31 time: 0.2878 data_time: 0.0256 memory: 8198 grad_norm: 4.9221 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2219 loss: 2.2219 2022/08/02 16:09:11 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:37:21 time: 0.2780 data_time: 0.0219 memory: 8198 grad_norm: 4.7992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0682 loss: 2.0682 2022/08/02 16:09:17 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:37:15 time: 0.2866 data_time: 0.0222 memory: 8198 grad_norm: 4.8452 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.2825 loss: 2.2825 2022/08/02 16:09:23 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:37:08 time: 0.2871 data_time: 0.0297 memory: 8198 grad_norm: 4.9808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1692 loss: 2.1692 2022/08/02 16:09:28 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:37:00 time: 0.2812 data_time: 0.0251 memory: 8198 grad_norm: 4.9583 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1676 loss: 2.1676 2022/08/02 16:09:34 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:36:55 time: 0.2896 data_time: 0.0233 memory: 8198 grad_norm: 5.0304 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1798 loss: 2.1798 2022/08/02 16:09:40 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:36:45 time: 0.2771 data_time: 0.0236 memory: 8198 grad_norm: 5.0277 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3851 loss: 2.3851 2022/08/02 16:09:45 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:36:41 time: 0.2927 data_time: 0.0250 memory: 8198 grad_norm: 4.9506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1495 loss: 2.1495 2022/08/02 16:09:51 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:36:32 time: 0.2801 data_time: 0.0233 memory: 8198 grad_norm: 4.9529 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1631 loss: 2.1631 2022/08/02 16:09:57 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:36:25 time: 0.2852 data_time: 0.0224 memory: 8198 grad_norm: 5.0207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3625 loss: 2.3625 2022/08/02 16:10:02 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:36:16 time: 0.2798 data_time: 0.0217 memory: 8198 grad_norm: 5.0076 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2001 loss: 2.2001 2022/08/02 16:10:08 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:36:08 time: 0.2835 data_time: 0.0231 memory: 8198 grad_norm: 5.0086 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2139 loss: 2.2139 2022/08/02 16:10:14 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:36:00 time: 0.2820 data_time: 0.0202 memory: 8198 grad_norm: 4.9675 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3010 loss: 2.3010 2022/08/02 16:10:19 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:35:53 time: 0.2839 data_time: 0.0250 memory: 8198 grad_norm: 5.0400 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2885 loss: 2.2885 2022/08/02 16:10:25 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:35:52 time: 0.3022 data_time: 0.0287 memory: 8198 grad_norm: 5.0735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2468 loss: 2.2468 2022/08/02 16:10:31 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:35:43 time: 0.2801 data_time: 0.0227 memory: 8198 grad_norm: 4.9002 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0176 loss: 2.0176 2022/08/02 16:10:37 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:35:35 time: 0.2827 data_time: 0.0243 memory: 8198 grad_norm: 5.0300 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3536 loss: 2.3536 2022/08/02 16:10:42 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:35:26 time: 0.2795 data_time: 0.0228 memory: 8198 grad_norm: 5.0477 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2633 loss: 2.2633 2022/08/02 16:10:48 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:35:20 time: 0.2865 data_time: 0.0273 memory: 8198 grad_norm: 5.0293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9006 loss: 1.9006 2022/08/02 16:10:54 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:35:15 time: 0.2907 data_time: 0.0224 memory: 8198 grad_norm: 4.9383 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2517 loss: 2.2517 2022/08/02 16:10:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:10:59 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:35:06 time: 0.2803 data_time: 0.0249 memory: 8198 grad_norm: 4.8899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0188 loss: 2.0188 2022/08/02 16:11:06 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:35:07 time: 0.3061 data_time: 0.0184 memory: 8198 grad_norm: 4.9776 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0767 loss: 2.0767 2022/08/02 16:11:11 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:34:58 time: 0.2780 data_time: 0.0243 memory: 8198 grad_norm: 4.8987 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3600 loss: 2.3600 2022/08/02 16:11:17 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:34:48 time: 0.2776 data_time: 0.0215 memory: 8198 grad_norm: 5.0052 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0548 loss: 2.0548 2022/08/02 16:11:22 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:34:41 time: 0.2860 data_time: 0.0304 memory: 8198 grad_norm: 4.9369 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3374 loss: 2.3374 2022/08/02 16:11:29 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:34:59 time: 0.3503 data_time: 0.0233 memory: 8198 grad_norm: 4.9817 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2295 loss: 2.2295 2022/08/02 16:11:35 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:34:55 time: 0.2918 data_time: 0.0262 memory: 8198 grad_norm: 5.1044 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4045 loss: 2.4045 2022/08/02 16:11:41 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:34:46 time: 0.2792 data_time: 0.0219 memory: 8198 grad_norm: 4.8497 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1681 loss: 2.1681 2022/08/02 16:11:46 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:34:36 time: 0.2786 data_time: 0.0215 memory: 8198 grad_norm: 4.9627 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1253 loss: 2.1253 2022/08/02 16:11:52 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:34:30 time: 0.2873 data_time: 0.0245 memory: 8198 grad_norm: 4.9179 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2897 loss: 2.2897 2022/08/02 16:11:58 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:34:23 time: 0.2856 data_time: 0.0203 memory: 8198 grad_norm: 4.9485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4152 loss: 2.4152 2022/08/02 16:12:04 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:34:20 time: 0.2948 data_time: 0.0186 memory: 8198 grad_norm: 4.9266 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1198 loss: 2.1198 2022/08/02 16:12:09 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:34:10 time: 0.2765 data_time: 0.0215 memory: 8198 grad_norm: 5.0704 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.2731 loss: 2.2731 2022/08/02 16:12:15 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:34:06 time: 0.2925 data_time: 0.0213 memory: 8198 grad_norm: 5.0176 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0816 loss: 2.0816 2022/08/02 16:12:21 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:33:56 time: 0.2787 data_time: 0.0218 memory: 8198 grad_norm: 4.8490 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1197 loss: 2.1197 2022/08/02 16:12:26 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:33:48 time: 0.2815 data_time: 0.0215 memory: 8198 grad_norm: 4.9865 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.0302 loss: 2.0302 2022/08/02 16:12:32 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:33:39 time: 0.2791 data_time: 0.0208 memory: 8198 grad_norm: 4.9657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0486 loss: 2.0486 2022/08/02 16:12:38 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:33:31 time: 0.2813 data_time: 0.0256 memory: 8198 grad_norm: 4.9801 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0412 loss: 2.0412 2022/08/02 16:12:43 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:33:24 time: 0.2862 data_time: 0.0232 memory: 8198 grad_norm: 4.9960 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.3478 loss: 2.3478 2022/08/02 16:12:49 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:33:13 time: 0.2752 data_time: 0.0214 memory: 8198 grad_norm: 4.8361 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0608 loss: 2.0608 2022/08/02 16:12:54 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:33:07 time: 0.2859 data_time: 0.0264 memory: 8198 grad_norm: 4.9160 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0983 loss: 2.0983 2022/08/02 16:12:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:12:59 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:33:07 time: 0.2540 data_time: 0.0137 memory: 8198 grad_norm: 5.0718 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.3248 loss: 2.3248 2022/08/02 16:13:08 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 1.0000e-02 eta: 1 day, 12:31:59 time: 0.4108 data_time: 0.1048 memory: 8198 grad_norm: 4.8272 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1191 loss: 2.1191 2022/08/02 16:13:13 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 1.0000e-02 eta: 1 day, 12:31:56 time: 0.2959 data_time: 0.0218 memory: 8198 grad_norm: 4.8452 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3094 loss: 2.3094 2022/08/02 16:13:19 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 1.0000e-02 eta: 1 day, 12:31:48 time: 0.2820 data_time: 0.0283 memory: 8198 grad_norm: 4.9559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3507 loss: 2.3507 2022/08/02 16:13:25 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 1.0000e-02 eta: 1 day, 12:31:40 time: 0.2808 data_time: 0.0242 memory: 8198 grad_norm: 5.0252 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/08/02 16:13:30 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 1.0000e-02 eta: 1 day, 12:31:31 time: 0.2805 data_time: 0.0242 memory: 8198 grad_norm: 4.9368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0241 loss: 2.0241 2022/08/02 16:13:36 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 1.0000e-02 eta: 1 day, 12:31:25 time: 0.2870 data_time: 0.0220 memory: 8198 grad_norm: 4.9844 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9617 loss: 1.9617 2022/08/02 16:13:42 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 1.0000e-02 eta: 1 day, 12:31:16 time: 0.2804 data_time: 0.0231 memory: 8198 grad_norm: 5.0901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2057 loss: 2.2057 2022/08/02 16:13:47 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 1.0000e-02 eta: 1 day, 12:31:09 time: 0.2823 data_time: 0.0256 memory: 8198 grad_norm: 5.0450 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9812 loss: 1.9812 2022/08/02 16:13:53 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 1.0000e-02 eta: 1 day, 12:31:02 time: 0.2872 data_time: 0.0256 memory: 8198 grad_norm: 5.0171 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9637 loss: 1.9637 2022/08/02 16:13:59 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 1.0000e-02 eta: 1 day, 12:30:55 time: 0.2841 data_time: 0.0247 memory: 8198 grad_norm: 4.8194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3622 loss: 2.3622 2022/08/02 16:14:04 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 1.0000e-02 eta: 1 day, 12:30:47 time: 0.2801 data_time: 0.0230 memory: 8198 grad_norm: 5.0758 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9763 loss: 1.9763 2022/08/02 16:14:10 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 1.0000e-02 eta: 1 day, 12:30:38 time: 0.2805 data_time: 0.0197 memory: 8198 grad_norm: 4.9490 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1605 loss: 2.1605 2022/08/02 16:14:16 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 1.0000e-02 eta: 1 day, 12:30:31 time: 0.2857 data_time: 0.0258 memory: 8198 grad_norm: 4.7958 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2157 loss: 2.2157 2022/08/02 16:14:21 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 1.0000e-02 eta: 1 day, 12:30:24 time: 0.2830 data_time: 0.0205 memory: 8198 grad_norm: 4.8985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2144 loss: 2.2144 2022/08/02 16:14:27 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 1.0000e-02 eta: 1 day, 12:30:16 time: 0.2824 data_time: 0.0212 memory: 8198 grad_norm: 4.8898 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1493 loss: 2.1493 2022/08/02 16:14:33 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 1.0000e-02 eta: 1 day, 12:30:07 time: 0.2805 data_time: 0.0283 memory: 8198 grad_norm: 4.9912 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5182 loss: 2.5182 2022/08/02 16:14:38 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 1.0000e-02 eta: 1 day, 12:29:59 time: 0.2818 data_time: 0.0239 memory: 8198 grad_norm: 4.9733 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3076 loss: 2.3076 2022/08/02 16:14:44 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 1.0000e-02 eta: 1 day, 12:29:56 time: 0.2952 data_time: 0.0229 memory: 8198 grad_norm: 4.9428 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4037 loss: 2.4037 2022/08/02 16:14:50 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 1.0000e-02 eta: 1 day, 12:29:47 time: 0.2797 data_time: 0.0219 memory: 8198 grad_norm: 4.9685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2420 loss: 2.2420 2022/08/02 16:14:56 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 1.0000e-02 eta: 1 day, 12:29:40 time: 0.2847 data_time: 0.0248 memory: 8198 grad_norm: 4.9771 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2776 loss: 2.2776 2022/08/02 16:15:01 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 1.0000e-02 eta: 1 day, 12:29:32 time: 0.2804 data_time: 0.0224 memory: 8198 grad_norm: 4.9222 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0793 loss: 2.0793 2022/08/02 16:15:07 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 1.0000e-02 eta: 1 day, 12:29:25 time: 0.2853 data_time: 0.0258 memory: 8198 grad_norm: 4.8879 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.2304 loss: 2.2304 2022/08/02 16:15:12 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 1.0000e-02 eta: 1 day, 12:29:17 time: 0.2825 data_time: 0.0179 memory: 8198 grad_norm: 4.9733 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0643 loss: 2.0643 2022/08/02 16:15:18 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 1.0000e-02 eta: 1 day, 12:29:10 time: 0.2848 data_time: 0.0267 memory: 8198 grad_norm: 4.8976 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1084 loss: 2.1084 2022/08/02 16:15:24 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 1.0000e-02 eta: 1 day, 12:29:03 time: 0.2841 data_time: 0.0259 memory: 8198 grad_norm: 5.0401 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3266 loss: 2.3266 2022/08/02 16:15:29 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 1.0000e-02 eta: 1 day, 12:28:55 time: 0.2813 data_time: 0.0200 memory: 8198 grad_norm: 4.9285 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1600 loss: 2.1600 2022/08/02 16:15:35 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 1.0000e-02 eta: 1 day, 12:28:52 time: 0.2952 data_time: 0.0364 memory: 8198 grad_norm: 5.0327 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2425 loss: 2.2425 2022/08/02 16:15:41 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 1.0000e-02 eta: 1 day, 12:28:47 time: 0.2897 data_time: 0.0299 memory: 8198 grad_norm: 5.0581 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2669 loss: 2.2669 2022/08/02 16:15:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:15:47 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 1.0000e-02 eta: 1 day, 12:28:39 time: 0.2823 data_time: 0.0210 memory: 8198 grad_norm: 4.9458 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2802 loss: 2.2802 2022/08/02 16:15:52 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 1.0000e-02 eta: 1 day, 12:28:31 time: 0.2814 data_time: 0.0286 memory: 8198 grad_norm: 4.9596 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1297 loss: 2.1297 2022/08/02 16:15:58 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 1.0000e-02 eta: 1 day, 12:28:23 time: 0.2829 data_time: 0.0226 memory: 8198 grad_norm: 5.0722 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2573 loss: 2.2573 2022/08/02 16:16:04 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 1.0000e-02 eta: 1 day, 12:28:17 time: 0.2866 data_time: 0.0222 memory: 8198 grad_norm: 5.0476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3037 loss: 2.3037 2022/08/02 16:16:10 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 1.0000e-02 eta: 1 day, 12:28:09 time: 0.2813 data_time: 0.0266 memory: 8198 grad_norm: 4.9548 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1952 loss: 2.1952 2022/08/02 16:16:15 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 1.0000e-02 eta: 1 day, 12:28:01 time: 0.2834 data_time: 0.0287 memory: 8198 grad_norm: 4.8866 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2920 loss: 2.2920 2022/08/02 16:16:21 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 1.0000e-02 eta: 1 day, 12:27:54 time: 0.2820 data_time: 0.0236 memory: 8198 grad_norm: 4.9828 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0847 loss: 2.0847 2022/08/02 16:16:27 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 1.0000e-02 eta: 1 day, 12:27:47 time: 0.2849 data_time: 0.0238 memory: 8198 grad_norm: 4.9779 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1386 loss: 2.1386 2022/08/02 16:16:32 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 1.0000e-02 eta: 1 day, 12:27:41 time: 0.2874 data_time: 0.0270 memory: 8198 grad_norm: 5.0076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2635 loss: 2.2635 2022/08/02 16:16:38 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 1.0000e-02 eta: 1 day, 12:27:35 time: 0.2882 data_time: 0.0170 memory: 8198 grad_norm: 5.0207 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.2006 loss: 2.2006 2022/08/02 16:16:44 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 1.0000e-02 eta: 1 day, 12:27:28 time: 0.2838 data_time: 0.0269 memory: 8198 grad_norm: 4.8358 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2365 loss: 2.2365 2022/08/02 16:16:50 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 1.0000e-02 eta: 1 day, 12:27:24 time: 0.2939 data_time: 0.0357 memory: 8198 grad_norm: 4.9275 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1003 loss: 2.1003 2022/08/02 16:16:55 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 1.0000e-02 eta: 1 day, 12:27:16 time: 0.2809 data_time: 0.0200 memory: 8198 grad_norm: 4.9466 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2006 loss: 2.2006 2022/08/02 16:17:01 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 1.0000e-02 eta: 1 day, 12:27:09 time: 0.2836 data_time: 0.0265 memory: 8198 grad_norm: 5.0398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0823 loss: 2.0823 2022/08/02 16:17:07 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 1.0000e-02 eta: 1 day, 12:27:11 time: 0.3107 data_time: 0.0529 memory: 8198 grad_norm: 5.0515 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0013 loss: 2.0013 2022/08/02 16:17:13 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 1.0000e-02 eta: 1 day, 12:27:02 time: 0.2792 data_time: 0.0222 memory: 8198 grad_norm: 4.8496 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1646 loss: 2.1646 2022/08/02 16:17:20 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 1.0000e-02 eta: 1 day, 12:27:15 time: 0.3407 data_time: 0.0636 memory: 8198 grad_norm: 4.9623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1062 loss: 2.1062 2022/08/02 16:17:25 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 1.0000e-02 eta: 1 day, 12:27:07 time: 0.2817 data_time: 0.0219 memory: 8198 grad_norm: 5.0461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0414 loss: 2.0414 2022/08/02 16:17:31 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 1.0000e-02 eta: 1 day, 12:27:00 time: 0.2851 data_time: 0.0296 memory: 8198 grad_norm: 5.0382 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2344 loss: 2.2344 2022/08/02 16:17:38 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 1.0000e-02 eta: 1 day, 12:27:14 time: 0.3403 data_time: 0.0874 memory: 8198 grad_norm: 4.8777 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1579 loss: 2.1579 2022/08/02 16:17:43 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 1.0000e-02 eta: 1 day, 12:27:05 time: 0.2807 data_time: 0.0231 memory: 8198 grad_norm: 5.0219 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2706 loss: 2.2706 2022/08/02 16:17:49 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:26:58 time: 0.2833 data_time: 0.0251 memory: 8198 grad_norm: 5.0097 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0897 loss: 2.0897 2022/08/02 16:17:55 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:26:51 time: 0.2862 data_time: 0.0227 memory: 8198 grad_norm: 4.9235 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2105 loss: 2.2105 2022/08/02 16:18:00 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:26:44 time: 0.2827 data_time: 0.0227 memory: 8198 grad_norm: 4.9331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2006 loss: 2.2006 2022/08/02 16:18:06 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:26:39 time: 0.2899 data_time: 0.0206 memory: 8198 grad_norm: 4.9661 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1260 loss: 2.1260 2022/08/02 16:18:12 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:26:32 time: 0.2848 data_time: 0.0228 memory: 8198 grad_norm: 4.9492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1650 loss: 2.1650 2022/08/02 16:18:18 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:26:29 time: 0.2971 data_time: 0.0217 memory: 8198 grad_norm: 4.8507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2099 loss: 2.2099 2022/08/02 16:18:24 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:26:21 time: 0.2824 data_time: 0.0200 memory: 8198 grad_norm: 4.8846 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2522 loss: 2.2522 2022/08/02 16:18:29 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:26:15 time: 0.2865 data_time: 0.0281 memory: 8198 grad_norm: 4.8657 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2385 loss: 2.2385 2022/08/02 16:18:35 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:26:09 time: 0.2861 data_time: 0.0258 memory: 8198 grad_norm: 4.7598 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9840 loss: 1.9840 2022/08/02 16:18:41 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:26:02 time: 0.2853 data_time: 0.0228 memory: 8198 grad_norm: 4.9329 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2893 loss: 2.2893 2022/08/02 16:18:46 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:25:55 time: 0.2839 data_time: 0.0219 memory: 8198 grad_norm: 4.9870 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3453 loss: 2.3453 2022/08/02 16:18:52 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:25:47 time: 0.2836 data_time: 0.0230 memory: 8198 grad_norm: 5.0493 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2654 loss: 2.2654 2022/08/02 16:18:58 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:25:40 time: 0.2843 data_time: 0.0274 memory: 8198 grad_norm: 5.0135 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3030 loss: 2.3030 2022/08/02 16:19:03 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:25:32 time: 0.2815 data_time: 0.0230 memory: 8198 grad_norm: 5.0093 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1292 loss: 2.1292 2022/08/02 16:19:09 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:25:25 time: 0.2832 data_time: 0.0303 memory: 8198 grad_norm: 5.0251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2416 loss: 2.2416 2022/08/02 16:19:15 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:25:17 time: 0.2814 data_time: 0.0179 memory: 8198 grad_norm: 4.7843 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1263 loss: 2.1263 2022/08/02 16:19:20 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:25:07 time: 0.2784 data_time: 0.0207 memory: 8198 grad_norm: 4.9327 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1829 loss: 2.1829 2022/08/02 16:19:26 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:25:00 time: 0.2819 data_time: 0.0290 memory: 8198 grad_norm: 4.8991 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1607 loss: 2.1607 2022/08/02 16:19:31 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:24:52 time: 0.2840 data_time: 0.0231 memory: 8198 grad_norm: 4.8753 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4735 loss: 2.4735 2022/08/02 16:19:37 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:24:48 time: 0.2920 data_time: 0.0258 memory: 8198 grad_norm: 4.8374 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2172 loss: 2.2172 2022/08/02 16:19:43 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:24:40 time: 0.2814 data_time: 0.0223 memory: 8198 grad_norm: 4.9883 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1019 loss: 2.1019 2022/08/02 16:19:49 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:24:33 time: 0.2834 data_time: 0.0291 memory: 8198 grad_norm: 4.9215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9275 loss: 1.9275 2022/08/02 16:19:55 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:24:30 time: 0.2965 data_time: 0.0285 memory: 8198 grad_norm: 4.8244 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1572 loss: 2.1572 2022/08/02 16:20:00 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:24:21 time: 0.2800 data_time: 0.0256 memory: 8198 grad_norm: 4.9848 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2652 loss: 2.2652 2022/08/02 16:20:06 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:24:12 time: 0.2769 data_time: 0.0213 memory: 8198 grad_norm: 4.8855 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1851 loss: 2.1851 2022/08/02 16:20:11 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:24:03 time: 0.2809 data_time: 0.0232 memory: 8198 grad_norm: 4.8844 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0303 loss: 2.0303 2022/08/02 16:20:17 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:23:56 time: 0.2818 data_time: 0.0229 memory: 8198 grad_norm: 4.9369 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3391 loss: 2.3391 2022/08/02 16:20:23 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:23:48 time: 0.2836 data_time: 0.0227 memory: 8198 grad_norm: 4.9428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1940 loss: 2.1940 2022/08/02 16:20:28 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:23:40 time: 0.2823 data_time: 0.0258 memory: 8198 grad_norm: 4.9194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0113 loss: 2.0113 2022/08/02 16:20:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:20:34 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:23:36 time: 0.2922 data_time: 0.0252 memory: 8198 grad_norm: 5.0487 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2271 loss: 2.2271 2022/08/02 16:20:40 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:23:27 time: 0.2785 data_time: 0.0235 memory: 8198 grad_norm: 4.8707 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1902 loss: 2.1902 2022/08/02 16:20:45 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:23:21 time: 0.2870 data_time: 0.0304 memory: 8198 grad_norm: 4.9484 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.3485 loss: 2.3485 2022/08/02 16:20:51 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:23:13 time: 0.2822 data_time: 0.0194 memory: 8198 grad_norm: 4.9615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8761 loss: 1.8761 2022/08/02 16:20:57 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:23:08 time: 0.2885 data_time: 0.0229 memory: 8198 grad_norm: 4.9535 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2797 loss: 2.2797 2022/08/02 16:21:02 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:22:59 time: 0.2808 data_time: 0.0222 memory: 8198 grad_norm: 5.0636 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1862 loss: 2.1862 2022/08/02 16:21:09 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:23:13 time: 0.3421 data_time: 0.0216 memory: 8198 grad_norm: 4.9806 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3225 loss: 2.3225 2022/08/02 16:21:15 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:23:05 time: 0.2812 data_time: 0.0226 memory: 8198 grad_norm: 4.9506 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0532 loss: 2.0532 2022/08/02 16:21:21 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:22:57 time: 0.2819 data_time: 0.0212 memory: 8198 grad_norm: 4.9062 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0968 loss: 2.0968 2022/08/02 16:21:26 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:22:50 time: 0.2859 data_time: 0.0237 memory: 8198 grad_norm: 4.9434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9749 loss: 1.9749 2022/08/02 16:21:32 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:22:42 time: 0.2816 data_time: 0.0239 memory: 8198 grad_norm: 4.9929 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2727 loss: 2.2727 2022/08/02 16:21:38 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:22:35 time: 0.2828 data_time: 0.0246 memory: 8198 grad_norm: 4.8691 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2720 loss: 2.2720 2022/08/02 16:21:43 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:22:26 time: 0.2809 data_time: 0.0229 memory: 8198 grad_norm: 4.8575 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2788 loss: 2.2788 2022/08/02 16:21:49 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:22:19 time: 0.2821 data_time: 0.0207 memory: 8198 grad_norm: 4.8644 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2382 loss: 2.2382 2022/08/02 16:21:55 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:22:13 time: 0.2876 data_time: 0.0259 memory: 8198 grad_norm: 4.9021 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7793 loss: 1.7793 2022/08/02 16:21:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:21:59 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:22:13 time: 0.2528 data_time: 0.0152 memory: 8198 grad_norm: 5.0289 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1188 loss: 2.1188 2022/08/02 16:22:07 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 1.0000e-02 eta: 1 day, 12:21:06 time: 0.3994 data_time: 0.1186 memory: 8198 grad_norm: 4.8391 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9914 loss: 1.9914 2022/08/02 16:22:13 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 1.0000e-02 eta: 1 day, 12:20:59 time: 0.2843 data_time: 0.0205 memory: 8198 grad_norm: 4.8408 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2764 loss: 2.2764 2022/08/02 16:22:20 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 1.0000e-02 eta: 1 day, 12:21:09 time: 0.3338 data_time: 0.0282 memory: 8198 grad_norm: 4.8317 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2033 loss: 2.2033 2022/08/02 16:22:25 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 1.0000e-02 eta: 1 day, 12:21:01 time: 0.2823 data_time: 0.0199 memory: 8198 grad_norm: 4.9553 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2083 loss: 2.2083 2022/08/02 16:22:31 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 1.0000e-02 eta: 1 day, 12:20:58 time: 0.2963 data_time: 0.0402 memory: 8198 grad_norm: 4.9495 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/08/02 16:22:37 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 1.0000e-02 eta: 1 day, 12:20:50 time: 0.2814 data_time: 0.0194 memory: 8198 grad_norm: 4.9909 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2966 loss: 2.2966 2022/08/02 16:22:43 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 1.0000e-02 eta: 1 day, 12:20:42 time: 0.2796 data_time: 0.0229 memory: 8198 grad_norm: 5.0008 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1731 loss: 2.1731 2022/08/02 16:22:48 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 1.0000e-02 eta: 1 day, 12:20:34 time: 0.2828 data_time: 0.0256 memory: 8198 grad_norm: 5.0045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1573 loss: 2.1573 2022/08/02 16:22:54 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 1.0000e-02 eta: 1 day, 12:20:34 time: 0.3037 data_time: 0.0262 memory: 8198 grad_norm: 4.8474 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9302 loss: 1.9302 2022/08/02 16:23:00 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 1.0000e-02 eta: 1 day, 12:20:24 time: 0.2746 data_time: 0.0231 memory: 8198 grad_norm: 4.9566 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1865 loss: 2.1865 2022/08/02 16:23:06 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 1.0000e-02 eta: 1 day, 12:20:16 time: 0.2812 data_time: 0.0274 memory: 8198 grad_norm: 5.0786 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2361 loss: 2.2361 2022/08/02 16:23:11 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 1.0000e-02 eta: 1 day, 12:20:08 time: 0.2821 data_time: 0.0197 memory: 8198 grad_norm: 4.9465 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0756 loss: 2.0756 2022/08/02 16:23:17 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 1.0000e-02 eta: 1 day, 12:20:02 time: 0.2870 data_time: 0.0223 memory: 8198 grad_norm: 4.8637 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2655 loss: 2.2655 2022/08/02 16:23:22 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 1.0000e-02 eta: 1 day, 12:19:53 time: 0.2785 data_time: 0.0232 memory: 8198 grad_norm: 5.0393 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0474 loss: 2.0474 2022/08/02 16:23:28 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 1.0000e-02 eta: 1 day, 12:19:46 time: 0.2837 data_time: 0.0265 memory: 8198 grad_norm: 4.9524 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2005 loss: 2.2005 2022/08/02 16:23:34 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 1.0000e-02 eta: 1 day, 12:19:38 time: 0.2810 data_time: 0.0277 memory: 8198 grad_norm: 4.8882 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0214 loss: 2.0214 2022/08/02 16:23:39 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 1.0000e-02 eta: 1 day, 12:19:30 time: 0.2823 data_time: 0.0231 memory: 8198 grad_norm: 4.8864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0761 loss: 2.0761 2022/08/02 16:23:45 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 1.0000e-02 eta: 1 day, 12:19:22 time: 0.2818 data_time: 0.0223 memory: 8198 grad_norm: 5.0303 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1984 loss: 2.1984 2022/08/02 16:23:51 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 1.0000e-02 eta: 1 day, 12:19:14 time: 0.2801 data_time: 0.0238 memory: 8198 grad_norm: 4.9923 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1221 loss: 2.1221 2022/08/02 16:23:57 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 1.0000e-02 eta: 1 day, 12:19:12 time: 0.3008 data_time: 0.0231 memory: 8198 grad_norm: 4.7839 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9966 loss: 1.9966 2022/08/02 16:24:02 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 1.0000e-02 eta: 1 day, 12:19:03 time: 0.2773 data_time: 0.0240 memory: 8198 grad_norm: 4.9577 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2682 loss: 2.2682 2022/08/02 16:24:08 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 1.0000e-02 eta: 1 day, 12:18:56 time: 0.2839 data_time: 0.0267 memory: 8198 grad_norm: 4.8100 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1062 loss: 2.1062 2022/08/02 16:24:13 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 1.0000e-02 eta: 1 day, 12:18:47 time: 0.2791 data_time: 0.0221 memory: 8198 grad_norm: 4.9706 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2965 loss: 2.2965 2022/08/02 16:24:19 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 1.0000e-02 eta: 1 day, 12:18:40 time: 0.2837 data_time: 0.0227 memory: 8198 grad_norm: 4.9741 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.2754 loss: 2.2754 2022/08/02 16:24:25 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 1.0000e-02 eta: 1 day, 12:18:33 time: 0.2825 data_time: 0.0233 memory: 8198 grad_norm: 4.9832 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0963 loss: 2.0963 2022/08/02 16:24:30 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 1.0000e-02 eta: 1 day, 12:18:24 time: 0.2802 data_time: 0.0264 memory: 8198 grad_norm: 4.9203 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1114 loss: 2.1114 2022/08/02 16:24:36 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 1.0000e-02 eta: 1 day, 12:18:18 time: 0.2859 data_time: 0.0208 memory: 8198 grad_norm: 4.7681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1085 loss: 2.1085 2022/08/02 16:24:42 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 1.0000e-02 eta: 1 day, 12:18:10 time: 0.2825 data_time: 0.0265 memory: 8198 grad_norm: 5.0087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0985 loss: 2.0985 2022/08/02 16:24:48 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 1.0000e-02 eta: 1 day, 12:18:04 time: 0.2850 data_time: 0.0208 memory: 8198 grad_norm: 4.9849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9489 loss: 1.9489 2022/08/02 16:24:53 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 1.0000e-02 eta: 1 day, 12:17:55 time: 0.2793 data_time: 0.0241 memory: 8198 grad_norm: 4.9059 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1949 loss: 2.1949 2022/08/02 16:24:59 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 1.0000e-02 eta: 1 day, 12:17:48 time: 0.2841 data_time: 0.0238 memory: 8198 grad_norm: 4.8873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0998 loss: 2.0998 2022/08/02 16:25:05 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 1.0000e-02 eta: 1 day, 12:17:47 time: 0.3006 data_time: 0.0203 memory: 8198 grad_norm: 4.9337 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2503 loss: 2.2503 2022/08/02 16:25:11 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 1.0000e-02 eta: 1 day, 12:17:41 time: 0.2869 data_time: 0.0290 memory: 8198 grad_norm: 4.9620 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1631 loss: 2.1631 2022/08/02 16:25:18 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 1.0000e-02 eta: 1 day, 12:18:10 time: 0.3913 data_time: 0.0205 memory: 8198 grad_norm: 4.9597 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1113 loss: 2.1113 2022/08/02 16:25:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:25:24 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 1.0000e-02 eta: 1 day, 12:18:09 time: 0.3018 data_time: 0.0214 memory: 8198 grad_norm: 4.9111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1362 loss: 2.1362 2022/08/02 16:25:30 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 1.0000e-02 eta: 1 day, 12:18:00 time: 0.2795 data_time: 0.0213 memory: 8198 grad_norm: 4.8619 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0982 loss: 2.0982 2022/08/02 16:25:36 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 1.0000e-02 eta: 1 day, 12:17:53 time: 0.2834 data_time: 0.0251 memory: 8198 grad_norm: 4.9295 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1393 loss: 2.1393 2022/08/02 16:25:41 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 1.0000e-02 eta: 1 day, 12:17:44 time: 0.2786 data_time: 0.0227 memory: 8198 grad_norm: 5.0969 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1438 loss: 2.1438 2022/08/02 16:25:47 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 1.0000e-02 eta: 1 day, 12:17:35 time: 0.2788 data_time: 0.0218 memory: 8198 grad_norm: 4.9379 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4168 loss: 2.4168 2022/08/02 16:25:53 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 1.0000e-02 eta: 1 day, 12:17:28 time: 0.2847 data_time: 0.0225 memory: 8198 grad_norm: 4.9319 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2347 loss: 2.2347 2022/08/02 16:25:58 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 1.0000e-02 eta: 1 day, 12:17:25 time: 0.2953 data_time: 0.0214 memory: 8198 grad_norm: 4.9372 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2466 loss: 2.2466 2022/08/02 16:26:04 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 1.0000e-02 eta: 1 day, 12:17:17 time: 0.2795 data_time: 0.0214 memory: 8198 grad_norm: 5.0304 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1918 loss: 2.1918 2022/08/02 16:26:10 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 1.0000e-02 eta: 1 day, 12:17:09 time: 0.2811 data_time: 0.0228 memory: 8198 grad_norm: 4.9047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1809 loss: 2.1809 2022/08/02 16:26:15 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 1.0000e-02 eta: 1 day, 12:17:03 time: 0.2871 data_time: 0.0202 memory: 8198 grad_norm: 4.9056 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0362 loss: 2.0362 2022/08/02 16:26:21 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 1.0000e-02 eta: 1 day, 12:16:55 time: 0.2808 data_time: 0.0263 memory: 8198 grad_norm: 4.9548 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9526 loss: 1.9526 2022/08/02 16:26:27 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 1.0000e-02 eta: 1 day, 12:16:47 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 4.8134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9671 loss: 1.9671 2022/08/02 16:26:32 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 1.0000e-02 eta: 1 day, 12:16:39 time: 0.2793 data_time: 0.0220 memory: 8198 grad_norm: 4.8359 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0071 loss: 2.0071 2022/08/02 16:26:38 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 1.0000e-02 eta: 1 day, 12:16:36 time: 0.2963 data_time: 0.0213 memory: 8198 grad_norm: 4.9055 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2084 loss: 2.2084 2022/08/02 16:26:44 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 1.0000e-02 eta: 1 day, 12:16:27 time: 0.2805 data_time: 0.0222 memory: 8198 grad_norm: 5.0743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0039 loss: 2.0039 2022/08/02 16:26:49 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:16:20 time: 0.2833 data_time: 0.0239 memory: 8198 grad_norm: 4.9617 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0550 loss: 2.0550 2022/08/02 16:26:55 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:16:13 time: 0.2850 data_time: 0.0245 memory: 8198 grad_norm: 4.9671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3287 loss: 2.3287 2022/08/02 16:27:01 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:16:07 time: 0.2853 data_time: 0.0259 memory: 8198 grad_norm: 5.0690 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1568 loss: 2.1568 2022/08/02 16:27:07 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:16:03 time: 0.2929 data_time: 0.0266 memory: 8198 grad_norm: 5.0637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3302 loss: 2.3302 2022/08/02 16:27:12 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:15:55 time: 0.2802 data_time: 0.0213 memory: 8198 grad_norm: 4.8752 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0012 loss: 2.0012 2022/08/02 16:27:18 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:15:49 time: 0.2899 data_time: 0.0281 memory: 8198 grad_norm: 4.8973 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2432 loss: 2.2432 2022/08/02 16:27:24 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:15:41 time: 0.2808 data_time: 0.0216 memory: 8198 grad_norm: 5.0221 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1753 loss: 2.1753 2022/08/02 16:27:29 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:15:33 time: 0.2810 data_time: 0.0249 memory: 8198 grad_norm: 5.0159 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0003 loss: 2.0003 2022/08/02 16:27:35 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:15:28 time: 0.2902 data_time: 0.0228 memory: 8198 grad_norm: 4.8661 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9912 loss: 1.9912 2022/08/02 16:27:41 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:15:21 time: 0.2826 data_time: 0.0200 memory: 8198 grad_norm: 5.0663 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0330 loss: 2.0330 2022/08/02 16:27:46 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:15:13 time: 0.2808 data_time: 0.0252 memory: 8198 grad_norm: 4.8647 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2579 loss: 2.2579 2022/08/02 16:27:52 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:15:05 time: 0.2816 data_time: 0.0228 memory: 8198 grad_norm: 4.7596 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2452 loss: 2.2452 2022/08/02 16:27:58 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:14:59 time: 0.2880 data_time: 0.0244 memory: 8198 grad_norm: 4.9536 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2071 loss: 2.2071 2022/08/02 16:28:04 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:14:52 time: 0.2826 data_time: 0.0214 memory: 8198 grad_norm: 4.8050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9064 loss: 1.9064 2022/08/02 16:28:09 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:14:44 time: 0.2819 data_time: 0.0260 memory: 8198 grad_norm: 4.8340 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1818 loss: 2.1818 2022/08/02 16:28:15 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:14:37 time: 0.2833 data_time: 0.0266 memory: 8198 grad_norm: 4.9574 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0817 loss: 2.0817 2022/08/02 16:28:20 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:14:28 time: 0.2778 data_time: 0.0194 memory: 8198 grad_norm: 4.9365 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1354 loss: 2.1354 2022/08/02 16:28:26 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:14:20 time: 0.2816 data_time: 0.0219 memory: 8198 grad_norm: 4.9836 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1548 loss: 2.1548 2022/08/02 16:28:32 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:14:12 time: 0.2814 data_time: 0.0209 memory: 8198 grad_norm: 5.0539 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3154 loss: 2.3154 2022/08/02 16:28:37 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:14:07 time: 0.2899 data_time: 0.0275 memory: 8198 grad_norm: 5.0641 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1923 loss: 2.1923 2022/08/02 16:28:43 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:14:00 time: 0.2822 data_time: 0.0230 memory: 8198 grad_norm: 4.9644 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9876 loss: 1.9876 2022/08/02 16:28:49 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:13:54 time: 0.2886 data_time: 0.0237 memory: 8198 grad_norm: 5.1147 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1108 loss: 2.1108 2022/08/02 16:28:55 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:13:48 time: 0.2873 data_time: 0.0245 memory: 8198 grad_norm: 5.0091 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0481 loss: 2.0481 2022/08/02 16:29:00 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:13:40 time: 0.2800 data_time: 0.0244 memory: 8198 grad_norm: 4.8998 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3633 loss: 2.3633 2022/08/02 16:29:06 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:13:34 time: 0.2873 data_time: 0.0280 memory: 8198 grad_norm: 4.8674 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2302 loss: 2.2302 2022/08/02 16:29:12 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:13:26 time: 0.2793 data_time: 0.0269 memory: 8198 grad_norm: 5.1169 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6488 loss: 2.6488 2022/08/02 16:29:17 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:13:18 time: 0.2809 data_time: 0.0241 memory: 8198 grad_norm: 4.9861 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1378 loss: 2.1378 2022/08/02 16:29:23 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:13:10 time: 0.2827 data_time: 0.0251 memory: 8198 grad_norm: 4.9413 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2234 loss: 2.2234 2022/08/02 16:29:29 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:13:04 time: 0.2858 data_time: 0.0216 memory: 8198 grad_norm: 4.9414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9249 loss: 1.9249 2022/08/02 16:29:34 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:12:56 time: 0.2805 data_time: 0.0244 memory: 8198 grad_norm: 4.9612 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1017 loss: 2.1017 2022/08/02 16:29:40 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:12:49 time: 0.2842 data_time: 0.0282 memory: 8198 grad_norm: 4.7730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9968 loss: 1.9968 2022/08/02 16:29:46 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:12:43 time: 0.2868 data_time: 0.0282 memory: 8198 grad_norm: 4.8847 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1160 loss: 2.1160 2022/08/02 16:29:51 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:12:35 time: 0.2797 data_time: 0.0228 memory: 8198 grad_norm: 4.9383 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1914 loss: 2.1914 2022/08/02 16:29:58 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:12:39 time: 0.3202 data_time: 0.0222 memory: 8198 grad_norm: 4.9057 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1076 loss: 2.1076 2022/08/02 16:30:03 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:12:31 time: 0.2796 data_time: 0.0264 memory: 8198 grad_norm: 4.8830 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1674 loss: 2.1674 2022/08/02 16:30:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:30:09 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:12:24 time: 0.2825 data_time: 0.0247 memory: 8198 grad_norm: 4.8314 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0391 loss: 2.0391 2022/08/02 16:30:15 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:12:16 time: 0.2826 data_time: 0.0216 memory: 8198 grad_norm: 5.0128 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2726 loss: 2.2726 2022/08/02 16:30:20 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:12:08 time: 0.2801 data_time: 0.0277 memory: 8198 grad_norm: 4.9330 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1215 loss: 2.1215 2022/08/02 16:30:26 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:12:00 time: 0.2815 data_time: 0.0263 memory: 8198 grad_norm: 4.9756 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9193 loss: 1.9193 2022/08/02 16:30:31 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:11:51 time: 0.2775 data_time: 0.0229 memory: 8198 grad_norm: 4.8651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9940 loss: 1.9940 2022/08/02 16:30:38 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:11:53 time: 0.3108 data_time: 0.0208 memory: 8198 grad_norm: 4.9779 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9960 loss: 1.9960 2022/08/02 16:30:43 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:11:44 time: 0.2776 data_time: 0.0238 memory: 8198 grad_norm: 4.8689 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1831 loss: 2.1831 2022/08/02 16:30:49 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:11:38 time: 0.2868 data_time: 0.0264 memory: 8198 grad_norm: 4.9288 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0797 loss: 2.0797 2022/08/02 16:30:55 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:11:37 time: 0.3031 data_time: 0.0287 memory: 8198 grad_norm: 4.9144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1625 loss: 2.1625 2022/08/02 16:31:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:31:00 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:11:37 time: 0.2499 data_time: 0.0146 memory: 8198 grad_norm: 4.9942 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0531 loss: 2.0531 2022/08/02 16:31:06 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:00:44 time: 0.3285 data_time: 0.2394 memory: 1514 2022/08/02 16:31:11 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:24 time: 0.2137 data_time: 0.1257 memory: 1514 2022/08/02 16:31:17 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:00:28 time: 0.3046 data_time: 0.2162 memory: 1514 2022/08/02 16:31:21 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:17 time: 0.2330 data_time: 0.1460 memory: 1514 2022/08/02 16:31:27 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:16 time: 0.2915 data_time: 0.2055 memory: 1514 2022/08/02 16:31:32 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:08 time: 0.2435 data_time: 0.1580 memory: 1514 2022/08/02 16:31:38 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:04 time: 0.3112 data_time: 0.2245 memory: 1514 2022/08/02 16:31:44 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.5906 acc/top5: 0.8216 acc/mean1: 0.5905 2022/08/02 16:31:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/02 16:31:45 - mmengine - INFO - The best checkpoint with 0.5906 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/02 16:31:53 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 1.0000e-02 eta: 1 day, 12:10:31 time: 0.3903 data_time: 0.1236 memory: 8198 grad_norm: 4.7434 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9095 loss: 1.9095 2022/08/02 16:31:59 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 1.0000e-02 eta: 1 day, 12:10:26 time: 0.2894 data_time: 0.0248 memory: 8198 grad_norm: 4.8175 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1094 loss: 2.1094 2022/08/02 16:32:04 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 1.0000e-02 eta: 1 day, 12:10:18 time: 0.2810 data_time: 0.0283 memory: 8198 grad_norm: 4.8193 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1659 loss: 2.1659 2022/08/02 16:32:10 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 1.0000e-02 eta: 1 day, 12:10:13 time: 0.2888 data_time: 0.0213 memory: 8198 grad_norm: 4.9008 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2985 loss: 2.2985 2022/08/02 16:32:16 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 1.0000e-02 eta: 1 day, 12:10:04 time: 0.2790 data_time: 0.0199 memory: 8198 grad_norm: 4.9507 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1829 loss: 2.1829 2022/08/02 16:32:21 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 1.0000e-02 eta: 1 day, 12:09:59 time: 0.2885 data_time: 0.0287 memory: 8198 grad_norm: 4.8953 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0378 loss: 2.0378 2022/08/02 16:32:27 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 1.0000e-02 eta: 1 day, 12:09:57 time: 0.2997 data_time: 0.0224 memory: 8198 grad_norm: 4.9096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1460 loss: 2.1460 2022/08/02 16:32:33 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 1.0000e-02 eta: 1 day, 12:09:47 time: 0.2761 data_time: 0.0241 memory: 8198 grad_norm: 4.6716 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9556 loss: 1.9556 2022/08/02 16:32:39 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 1.0000e-02 eta: 1 day, 12:09:39 time: 0.2789 data_time: 0.0226 memory: 8198 grad_norm: 4.8342 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1295 loss: 2.1295 2022/08/02 16:32:44 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 1.0000e-02 eta: 1 day, 12:09:32 time: 0.2837 data_time: 0.0274 memory: 8198 grad_norm: 4.8990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0778 loss: 2.0778 2022/08/02 16:32:50 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 1.0000e-02 eta: 1 day, 12:09:30 time: 0.2998 data_time: 0.0252 memory: 8198 grad_norm: 4.9716 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3360 loss: 2.3360 2022/08/02 16:32:56 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 1.0000e-02 eta: 1 day, 12:09:23 time: 0.2833 data_time: 0.0206 memory: 8198 grad_norm: 4.9975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0321 loss: 2.0321 2022/08/02 16:33:02 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 1.0000e-02 eta: 1 day, 12:09:14 time: 0.2792 data_time: 0.0224 memory: 8198 grad_norm: 4.9112 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0784 loss: 2.0784 2022/08/02 16:33:07 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 1.0000e-02 eta: 1 day, 12:09:11 time: 0.2950 data_time: 0.0239 memory: 8198 grad_norm: 4.9517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7927 loss: 1.7927 2022/08/02 16:33:13 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 1.0000e-02 eta: 1 day, 12:09:03 time: 0.2809 data_time: 0.0219 memory: 8198 grad_norm: 4.9449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2127 loss: 2.2127 2022/08/02 16:33:19 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 1.0000e-02 eta: 1 day, 12:08:55 time: 0.2792 data_time: 0.0197 memory: 8198 grad_norm: 4.9470 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2812 loss: 2.2812 2022/08/02 16:33:24 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 1.0000e-02 eta: 1 day, 12:08:47 time: 0.2803 data_time: 0.0288 memory: 8198 grad_norm: 5.0092 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1414 loss: 2.1414 2022/08/02 16:33:30 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 1.0000e-02 eta: 1 day, 12:08:39 time: 0.2825 data_time: 0.0242 memory: 8198 grad_norm: 5.0127 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3149 loss: 2.3149 2022/08/02 16:33:36 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 1.0000e-02 eta: 1 day, 12:08:33 time: 0.2860 data_time: 0.0260 memory: 8198 grad_norm: 4.7641 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2582 loss: 2.2582 2022/08/02 16:33:41 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 1.0000e-02 eta: 1 day, 12:08:25 time: 0.2821 data_time: 0.0180 memory: 8198 grad_norm: 4.8401 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1973 loss: 2.1973 2022/08/02 16:33:47 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 1.0000e-02 eta: 1 day, 12:08:20 time: 0.2877 data_time: 0.0237 memory: 8198 grad_norm: 4.9806 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1374 loss: 2.1374 2022/08/02 16:33:53 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 1.0000e-02 eta: 1 day, 12:08:12 time: 0.2818 data_time: 0.0227 memory: 8198 grad_norm: 4.9754 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.1502 loss: 2.1502 2022/08/02 16:33:59 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 1.0000e-02 eta: 1 day, 12:08:12 time: 0.3063 data_time: 0.0249 memory: 8198 grad_norm: 4.9791 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1959 loss: 2.1959 2022/08/02 16:34:04 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 1.0000e-02 eta: 1 day, 12:08:05 time: 0.2819 data_time: 0.0209 memory: 8198 grad_norm: 4.9728 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0936 loss: 2.0936 2022/08/02 16:34:10 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 1.0000e-02 eta: 1 day, 12:08:01 time: 0.2936 data_time: 0.0232 memory: 8198 grad_norm: 4.9379 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1698 loss: 2.1698 2022/08/02 16:34:16 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 1.0000e-02 eta: 1 day, 12:07:53 time: 0.2819 data_time: 0.0217 memory: 8198 grad_norm: 4.9470 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0546 loss: 2.0546 2022/08/02 16:34:22 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 1.0000e-02 eta: 1 day, 12:07:46 time: 0.2838 data_time: 0.0225 memory: 8198 grad_norm: 4.9023 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0664 loss: 2.0664 2022/08/02 16:34:27 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 1.0000e-02 eta: 1 day, 12:07:39 time: 0.2821 data_time: 0.0233 memory: 8198 grad_norm: 4.9658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9492 loss: 1.9492 2022/08/02 16:34:33 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 1.0000e-02 eta: 1 day, 12:07:33 time: 0.2862 data_time: 0.0247 memory: 8198 grad_norm: 4.7989 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1821 loss: 2.1821 2022/08/02 16:34:39 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 1.0000e-02 eta: 1 day, 12:07:26 time: 0.2850 data_time: 0.0259 memory: 8198 grad_norm: 4.7903 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1902 loss: 2.1902 2022/08/02 16:34:44 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 1.0000e-02 eta: 1 day, 12:07:18 time: 0.2804 data_time: 0.0218 memory: 8198 grad_norm: 4.9724 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1082 loss: 2.1082 2022/08/02 16:34:50 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 1.0000e-02 eta: 1 day, 12:07:11 time: 0.2825 data_time: 0.0244 memory: 8198 grad_norm: 5.0078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2974 loss: 2.2974 2022/08/02 16:34:56 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 1.0000e-02 eta: 1 day, 12:07:07 time: 0.2933 data_time: 0.0264 memory: 8198 grad_norm: 4.9486 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1166 loss: 2.1166 2022/08/02 16:35:01 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 1.0000e-02 eta: 1 day, 12:06:59 time: 0.2797 data_time: 0.0251 memory: 8198 grad_norm: 4.9426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2464 loss: 2.2464 2022/08/02 16:35:07 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 1.0000e-02 eta: 1 day, 12:06:52 time: 0.2846 data_time: 0.0237 memory: 8198 grad_norm: 4.9035 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2617 loss: 2.2617 2022/08/02 16:35:13 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 1.0000e-02 eta: 1 day, 12:06:46 time: 0.2881 data_time: 0.0256 memory: 8198 grad_norm: 5.1085 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3079 loss: 2.3079 2022/08/02 16:35:19 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 1.0000e-02 eta: 1 day, 12:06:41 time: 0.2881 data_time: 0.0257 memory: 8198 grad_norm: 4.8149 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1177 loss: 2.1177 2022/08/02 16:35:24 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 1.0000e-02 eta: 1 day, 12:06:33 time: 0.2794 data_time: 0.0234 memory: 8198 grad_norm: 4.9476 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9587 loss: 1.9587 2022/08/02 16:35:30 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 1.0000e-02 eta: 1 day, 12:06:25 time: 0.2808 data_time: 0.0249 memory: 8198 grad_norm: 4.8021 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9415 loss: 1.9415 2022/08/02 16:35:36 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 1.0000e-02 eta: 1 day, 12:06:18 time: 0.2827 data_time: 0.0242 memory: 8198 grad_norm: 4.8637 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1085 loss: 2.1085 2022/08/02 16:35:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:35:41 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 1.0000e-02 eta: 1 day, 12:06:10 time: 0.2807 data_time: 0.0240 memory: 8198 grad_norm: 4.9436 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9945 loss: 1.9945 2022/08/02 16:35:47 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 1.0000e-02 eta: 1 day, 12:06:03 time: 0.2841 data_time: 0.0231 memory: 8198 grad_norm: 4.9601 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1655 loss: 2.1655 2022/08/02 16:35:52 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 1.0000e-02 eta: 1 day, 12:05:55 time: 0.2820 data_time: 0.0250 memory: 8198 grad_norm: 4.8565 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0932 loss: 2.0932 2022/08/02 16:35:58 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 1.0000e-02 eta: 1 day, 12:05:47 time: 0.2795 data_time: 0.0235 memory: 8198 grad_norm: 4.9511 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0863 loss: 2.0863 2022/08/02 16:36:04 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 1.0000e-02 eta: 1 day, 12:05:44 time: 0.2965 data_time: 0.0260 memory: 8198 grad_norm: 4.9961 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0931 loss: 2.0931 2022/08/02 16:36:10 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 1.0000e-02 eta: 1 day, 12:05:37 time: 0.2816 data_time: 0.0289 memory: 8198 grad_norm: 4.8617 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8563 loss: 1.8563 2022/08/02 16:36:15 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 1.0000e-02 eta: 1 day, 12:05:31 time: 0.2867 data_time: 0.0351 memory: 8198 grad_norm: 4.9322 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0587 loss: 2.0587 2022/08/02 16:36:21 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 1.0000e-02 eta: 1 day, 12:05:23 time: 0.2802 data_time: 0.0213 memory: 8198 grad_norm: 5.0062 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1712 loss: 2.1712 2022/08/02 16:36:27 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 1.0000e-02 eta: 1 day, 12:05:17 time: 0.2893 data_time: 0.0252 memory: 8198 grad_norm: 4.8387 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0910 loss: 2.0910 2022/08/02 16:36:32 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:05:09 time: 0.2802 data_time: 0.0209 memory: 8198 grad_norm: 4.8180 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1300 loss: 2.1300 2022/08/02 16:36:38 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:05:06 time: 0.2957 data_time: 0.0345 memory: 8198 grad_norm: 4.9058 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3500 loss: 2.3500 2022/08/02 16:36:44 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:04:58 time: 0.2794 data_time: 0.0214 memory: 8198 grad_norm: 4.8783 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0515 loss: 2.0515 2022/08/02 16:36:50 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:04:50 time: 0.2820 data_time: 0.0238 memory: 8198 grad_norm: 4.8569 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1137 loss: 2.1137 2022/08/02 16:36:55 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:04:44 time: 0.2839 data_time: 0.0249 memory: 8198 grad_norm: 4.8335 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0960 loss: 2.0960 2022/08/02 16:37:01 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:04:36 time: 0.2813 data_time: 0.0212 memory: 8198 grad_norm: 4.8857 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1873 loss: 2.1873 2022/08/02 16:37:07 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:04:35 time: 0.3048 data_time: 0.0226 memory: 8198 grad_norm: 4.9891 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0781 loss: 2.0781 2022/08/02 16:37:13 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:04:27 time: 0.2786 data_time: 0.0202 memory: 8198 grad_norm: 4.9624 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0803 loss: 2.0803 2022/08/02 16:37:18 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:04:20 time: 0.2838 data_time: 0.0214 memory: 8198 grad_norm: 5.0574 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2307 loss: 2.2307 2022/08/02 16:37:24 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:04:13 time: 0.2832 data_time: 0.0288 memory: 8198 grad_norm: 4.8914 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0847 loss: 2.0847 2022/08/02 16:37:30 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:04:06 time: 0.2826 data_time: 0.0199 memory: 8198 grad_norm: 4.8983 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1801 loss: 2.1801 2022/08/02 16:37:35 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:04:00 time: 0.2880 data_time: 0.0232 memory: 8198 grad_norm: 5.0211 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2370 loss: 2.2370 2022/08/02 16:37:41 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:03:54 time: 0.2855 data_time: 0.0217 memory: 8198 grad_norm: 5.0301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0691 loss: 2.0691 2022/08/02 16:37:47 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:03:47 time: 0.2839 data_time: 0.0250 memory: 8198 grad_norm: 4.9545 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8409 loss: 1.8409 2022/08/02 16:37:53 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:03:43 time: 0.2938 data_time: 0.0273 memory: 8198 grad_norm: 4.8629 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9542 loss: 1.9542 2022/08/02 16:37:58 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:03:36 time: 0.2830 data_time: 0.0261 memory: 8198 grad_norm: 4.9183 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2154 loss: 2.2154 2022/08/02 16:38:04 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:03:27 time: 0.2771 data_time: 0.0199 memory: 8198 grad_norm: 4.8770 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0930 loss: 2.0930 2022/08/02 16:38:09 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:03:20 time: 0.2831 data_time: 0.0238 memory: 8198 grad_norm: 4.9754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1095 loss: 2.1095 2022/08/02 16:38:15 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:03:12 time: 0.2798 data_time: 0.0204 memory: 8198 grad_norm: 4.9695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0784 loss: 2.0784 2022/08/02 16:38:21 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:03:06 time: 0.2886 data_time: 0.0292 memory: 8198 grad_norm: 4.9974 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1779 loss: 2.1779 2022/08/02 16:38:26 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:02:59 time: 0.2822 data_time: 0.0210 memory: 8198 grad_norm: 4.9796 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2399 loss: 2.2399 2022/08/02 16:38:32 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:02:53 time: 0.2849 data_time: 0.0327 memory: 8198 grad_norm: 5.0675 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2723 loss: 2.2723 2022/08/02 16:38:38 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:02:46 time: 0.2838 data_time: 0.0194 memory: 8198 grad_norm: 4.9690 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0125 loss: 2.0125 2022/08/02 16:38:43 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:02:38 time: 0.2808 data_time: 0.0248 memory: 8198 grad_norm: 4.9073 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9851 loss: 1.9851 2022/08/02 16:38:49 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:02:32 time: 0.2875 data_time: 0.0271 memory: 8198 grad_norm: 4.9932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0267 loss: 2.0267 2022/08/02 16:38:55 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:02:28 time: 0.2915 data_time: 0.0184 memory: 8198 grad_norm: 5.0607 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1845 loss: 2.1845 2022/08/02 16:39:01 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:02:20 time: 0.2810 data_time: 0.0163 memory: 8198 grad_norm: 4.8558 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1091 loss: 2.1091 2022/08/02 16:39:06 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:02:14 time: 0.2865 data_time: 0.0266 memory: 8198 grad_norm: 4.8533 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0780 loss: 2.0780 2022/08/02 16:39:12 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:02:08 time: 0.2879 data_time: 0.0194 memory: 8198 grad_norm: 4.9347 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3044 loss: 2.3044 2022/08/02 16:39:18 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:02:02 time: 0.2867 data_time: 0.0199 memory: 8198 grad_norm: 5.0157 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0052 loss: 2.0052 2022/08/02 16:39:24 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:01:56 time: 0.2854 data_time: 0.0178 memory: 8198 grad_norm: 5.0088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0887 loss: 2.0887 2022/08/02 16:39:29 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:01:49 time: 0.2844 data_time: 0.0225 memory: 8198 grad_norm: 4.8412 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9199 loss: 1.9199 2022/08/02 16:39:35 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:01:40 time: 0.2766 data_time: 0.0174 memory: 8198 grad_norm: 4.9345 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1455 loss: 2.1455 2022/08/02 16:39:40 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:01:33 time: 0.2825 data_time: 0.0235 memory: 8198 grad_norm: 4.8506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8871 loss: 1.8871 2022/08/02 16:39:46 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:01:27 time: 0.2868 data_time: 0.0249 memory: 8198 grad_norm: 4.9240 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0397 loss: 2.0397 2022/08/02 16:39:52 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:01:20 time: 0.2843 data_time: 0.0220 memory: 8198 grad_norm: 4.9117 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1458 loss: 2.1458 2022/08/02 16:39:58 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:01:13 time: 0.2839 data_time: 0.0263 memory: 8198 grad_norm: 4.7519 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3070 loss: 2.3070 2022/08/02 16:40:03 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:01:06 time: 0.2825 data_time: 0.0218 memory: 8198 grad_norm: 4.9122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1051 loss: 2.1051 2022/08/02 16:40:09 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:01:01 time: 0.2878 data_time: 0.0231 memory: 8198 grad_norm: 4.8799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1442 loss: 2.1442 2022/08/02 16:40:15 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:00:53 time: 0.2798 data_time: 0.0239 memory: 8198 grad_norm: 4.9113 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1654 loss: 2.1654 2022/08/02 16:40:20 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:00:45 time: 0.2806 data_time: 0.0210 memory: 8198 grad_norm: 4.9159 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1763 loss: 2.1763 2022/08/02 16:40:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:40:26 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:00:42 time: 0.2979 data_time: 0.0204 memory: 8198 grad_norm: 4.9114 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0092 loss: 2.0092 2022/08/02 16:40:32 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:00:37 time: 0.2904 data_time: 0.0240 memory: 8198 grad_norm: 4.9100 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0360 loss: 2.0360 2022/08/02 16:40:38 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:00:35 time: 0.2985 data_time: 0.0260 memory: 8198 grad_norm: 4.9305 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2646 loss: 2.2646 2022/08/02 16:40:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:40:43 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:00:35 time: 0.2554 data_time: 0.0145 memory: 8198 grad_norm: 4.9341 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.3190 loss: 2.3190 2022/08/02 16:40:43 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/02 16:40:52 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 1.0000e-02 eta: 1 day, 11:59:27 time: 0.3716 data_time: 0.1171 memory: 8198 grad_norm: 4.8945 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1461 loss: 2.1461 2022/08/02 16:40:58 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 1.0000e-02 eta: 1 day, 11:59:21 time: 0.2861 data_time: 0.0230 memory: 8198 grad_norm: 4.8479 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0827 loss: 2.0827 2022/08/02 16:41:03 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 1.0000e-02 eta: 1 day, 11:59:13 time: 0.2795 data_time: 0.0253 memory: 8198 grad_norm: 4.7988 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.1982 loss: 2.1982 2022/08/02 16:41:09 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 1.0000e-02 eta: 1 day, 11:59:08 time: 0.2913 data_time: 0.0181 memory: 8198 grad_norm: 4.8931 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0725 loss: 2.0725 2022/08/02 16:41:15 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 1.0000e-02 eta: 1 day, 11:58:59 time: 0.2770 data_time: 0.0252 memory: 8198 grad_norm: 4.9404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1686 loss: 2.1686 2022/08/02 16:41:20 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 1.0000e-02 eta: 1 day, 11:58:51 time: 0.2793 data_time: 0.0214 memory: 8198 grad_norm: 4.9687 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1453 loss: 2.1453 2022/08/02 16:41:26 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 1.0000e-02 eta: 1 day, 11:58:46 time: 0.2881 data_time: 0.0221 memory: 8198 grad_norm: 4.8342 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0353 loss: 2.0353 2022/08/02 16:41:32 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 1.0000e-02 eta: 1 day, 11:58:38 time: 0.2802 data_time: 0.0223 memory: 8198 grad_norm: 4.8933 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0186 loss: 2.0186 2022/08/02 16:41:37 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 1.0000e-02 eta: 1 day, 11:58:30 time: 0.2811 data_time: 0.0277 memory: 8198 grad_norm: 4.9285 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2025 loss: 2.2025 2022/08/02 16:41:43 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 1.0000e-02 eta: 1 day, 11:58:24 time: 0.2856 data_time: 0.0170 memory: 8198 grad_norm: 4.9092 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1435 loss: 2.1435 2022/08/02 16:41:49 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 1.0000e-02 eta: 1 day, 11:58:25 time: 0.3095 data_time: 0.0232 memory: 8198 grad_norm: 5.0128 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3039 loss: 2.3039 2022/08/02 16:41:55 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 1.0000e-02 eta: 1 day, 11:58:16 time: 0.2776 data_time: 0.0166 memory: 8198 grad_norm: 4.8872 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1493 loss: 2.1493 2022/08/02 16:42:01 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 1.0000e-02 eta: 1 day, 11:58:09 time: 0.2834 data_time: 0.0239 memory: 8198 grad_norm: 4.9619 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0151 loss: 2.0151 2022/08/02 16:42:06 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 1.0000e-02 eta: 1 day, 11:58:04 time: 0.2884 data_time: 0.0197 memory: 8198 grad_norm: 4.8610 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0783 loss: 2.0783 2022/08/02 16:42:12 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 1.0000e-02 eta: 1 day, 11:57:56 time: 0.2806 data_time: 0.0243 memory: 8198 grad_norm: 4.9953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0347 loss: 2.0347 2022/08/02 16:42:18 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 1.0000e-02 eta: 1 day, 11:57:49 time: 0.2818 data_time: 0.0203 memory: 8198 grad_norm: 4.9230 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9109 loss: 1.9109 2022/08/02 16:42:23 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 1.0000e-02 eta: 1 day, 11:57:42 time: 0.2826 data_time: 0.0234 memory: 8198 grad_norm: 4.9477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0771 loss: 2.0771 2022/08/02 16:42:29 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 1.0000e-02 eta: 1 day, 11:57:39 time: 0.2993 data_time: 0.0204 memory: 8198 grad_norm: 5.0385 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2111 loss: 2.2111 2022/08/02 16:42:35 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 1.0000e-02 eta: 1 day, 11:57:32 time: 0.2815 data_time: 0.0258 memory: 8198 grad_norm: 4.9782 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1473 loss: 2.1473 2022/08/02 16:42:41 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 1.0000e-02 eta: 1 day, 11:57:25 time: 0.2817 data_time: 0.0255 memory: 8198 grad_norm: 5.0150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3594 loss: 2.3594 2022/08/02 16:42:46 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 1.0000e-02 eta: 1 day, 11:57:20 time: 0.2921 data_time: 0.0263 memory: 8198 grad_norm: 4.8081 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1504 loss: 2.1504 2022/08/02 16:42:52 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 1.0000e-02 eta: 1 day, 11:57:12 time: 0.2780 data_time: 0.0201 memory: 8198 grad_norm: 4.8001 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2545 loss: 2.2545 2022/08/02 16:42:58 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 1.0000e-02 eta: 1 day, 11:57:05 time: 0.2852 data_time: 0.0227 memory: 8198 grad_norm: 4.9841 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0404 loss: 2.0404 2022/08/02 16:43:03 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 1.0000e-02 eta: 1 day, 11:56:58 time: 0.2805 data_time: 0.0216 memory: 8198 grad_norm: 5.0769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1116 loss: 2.1116 2022/08/02 16:43:09 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 1.0000e-02 eta: 1 day, 11:56:53 time: 0.2914 data_time: 0.0284 memory: 8198 grad_norm: 4.9681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0872 loss: 2.0872 2022/08/02 16:43:15 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 1.0000e-02 eta: 1 day, 11:56:46 time: 0.2808 data_time: 0.0215 memory: 8198 grad_norm: 4.9505 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1292 loss: 2.1292 2022/08/02 16:43:20 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 1.0000e-02 eta: 1 day, 11:56:39 time: 0.2857 data_time: 0.0243 memory: 8198 grad_norm: 4.8691 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1090 loss: 2.1090 2022/08/02 16:43:26 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 1.0000e-02 eta: 1 day, 11:56:32 time: 0.2835 data_time: 0.0252 memory: 8198 grad_norm: 4.9102 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0366 loss: 2.0366 2022/08/02 16:43:32 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 1.0000e-02 eta: 1 day, 11:56:27 time: 0.2894 data_time: 0.0250 memory: 8198 grad_norm: 4.9178 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0698 loss: 2.0698 2022/08/02 16:43:37 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 1.0000e-02 eta: 1 day, 11:56:19 time: 0.2773 data_time: 0.0249 memory: 8198 grad_norm: 4.8422 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9871 loss: 1.9871 2022/08/02 16:43:43 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 1.0000e-02 eta: 1 day, 11:56:12 time: 0.2833 data_time: 0.0264 memory: 8198 grad_norm: 5.0669 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9831 loss: 1.9831 2022/08/02 16:43:49 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 1.0000e-02 eta: 1 day, 11:56:08 time: 0.2929 data_time: 0.0243 memory: 8198 grad_norm: 5.0161 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3372 loss: 2.3372 2022/08/02 16:43:55 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 1.0000e-02 eta: 1 day, 11:56:00 time: 0.2812 data_time: 0.0249 memory: 8198 grad_norm: 4.9776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2008 loss: 2.2008 2022/08/02 16:44:00 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 1.0000e-02 eta: 1 day, 11:55:53 time: 0.2810 data_time: 0.0205 memory: 8198 grad_norm: 4.9888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8964 loss: 1.8964 2022/08/02 16:44:06 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 1.0000e-02 eta: 1 day, 11:55:47 time: 0.2886 data_time: 0.0241 memory: 8198 grad_norm: 4.9922 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2250 loss: 2.2250 2022/08/02 16:44:12 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 1.0000e-02 eta: 1 day, 11:55:40 time: 0.2826 data_time: 0.0252 memory: 8198 grad_norm: 5.0444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1341 loss: 2.1341 2022/08/02 16:44:17 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 1.0000e-02 eta: 1 day, 11:55:32 time: 0.2810 data_time: 0.0213 memory: 8198 grad_norm: 4.9842 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1590 loss: 2.1590 2022/08/02 16:44:23 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 1.0000e-02 eta: 1 day, 11:55:25 time: 0.2801 data_time: 0.0216 memory: 8198 grad_norm: 4.8373 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1715 loss: 2.1715 2022/08/02 16:44:29 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 1.0000e-02 eta: 1 day, 11:55:19 time: 0.2864 data_time: 0.0281 memory: 8198 grad_norm: 4.9377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9295 loss: 1.9295 2022/08/02 16:44:34 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 1.0000e-02 eta: 1 day, 11:55:11 time: 0.2797 data_time: 0.0186 memory: 8198 grad_norm: 4.9582 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0219 loss: 2.0219 2022/08/02 16:44:41 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 1.0000e-02 eta: 1 day, 11:55:18 time: 0.3310 data_time: 0.0244 memory: 8198 grad_norm: 5.0390 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1491 loss: 2.1491 2022/08/02 16:44:47 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 1.0000e-02 eta: 1 day, 11:55:10 time: 0.2810 data_time: 0.0199 memory: 8198 grad_norm: 4.9275 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9444 loss: 1.9444 2022/08/02 16:44:52 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 1.0000e-02 eta: 1 day, 11:55:04 time: 0.2870 data_time: 0.0315 memory: 8198 grad_norm: 4.9401 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0403 loss: 2.0403 2022/08/02 16:44:58 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 1.0000e-02 eta: 1 day, 11:54:56 time: 0.2801 data_time: 0.0269 memory: 8198 grad_norm: 4.9704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1256 loss: 2.1256 2022/08/02 16:45:03 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 1.0000e-02 eta: 1 day, 11:54:50 time: 0.2831 data_time: 0.0241 memory: 8198 grad_norm: 4.8840 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9490 loss: 1.9490 2022/08/02 16:45:09 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 1.0000e-02 eta: 1 day, 11:54:44 time: 0.2873 data_time: 0.0235 memory: 8198 grad_norm: 4.7865 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1309 loss: 2.1309 2022/08/02 16:45:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:45:15 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 1.0000e-02 eta: 1 day, 11:54:38 time: 0.2865 data_time: 0.0215 memory: 8198 grad_norm: 4.8015 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8675 loss: 1.8675 2022/08/02 16:45:21 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 1.0000e-02 eta: 1 day, 11:54:36 time: 0.2994 data_time: 0.0209 memory: 8198 grad_norm: 4.9535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4264 loss: 2.4264 2022/08/02 16:45:27 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 1.0000e-02 eta: 1 day, 11:54:28 time: 0.2813 data_time: 0.0259 memory: 8198 grad_norm: 4.8908 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.1103 loss: 2.1103 2022/08/02 16:45:32 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:54:20 time: 0.2810 data_time: 0.0232 memory: 8198 grad_norm: 4.8834 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.1390 loss: 2.1390 2022/08/02 16:45:38 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:54:15 time: 0.2880 data_time: 0.0268 memory: 8198 grad_norm: 4.8506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1469 loss: 2.1469 2022/08/02 16:45:44 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:54:07 time: 0.2812 data_time: 0.0200 memory: 8198 grad_norm: 4.9996 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0592 loss: 2.0592 2022/08/02 16:45:49 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:54:02 time: 0.2899 data_time: 0.0272 memory: 8198 grad_norm: 4.8715 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9361 loss: 1.9361 2022/08/02 16:45:55 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:53:55 time: 0.2795 data_time: 0.0217 memory: 8198 grad_norm: 4.9484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0877 loss: 2.0877 2022/08/02 16:46:01 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:53:47 time: 0.2809 data_time: 0.0230 memory: 8198 grad_norm: 4.9659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0260 loss: 2.0260 2022/08/02 16:46:06 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:53:41 time: 0.2855 data_time: 0.0202 memory: 8198 grad_norm: 4.8569 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0588 loss: 2.0588 2022/08/02 16:46:12 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:53:34 time: 0.2839 data_time: 0.0257 memory: 8198 grad_norm: 4.8650 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0359 loss: 2.0359 2022/08/02 16:46:18 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:53:27 time: 0.2825 data_time: 0.0227 memory: 8198 grad_norm: 4.8978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2285 loss: 2.2285 2022/08/02 16:46:23 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:53:20 time: 0.2822 data_time: 0.0234 memory: 8198 grad_norm: 5.0088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9502 loss: 1.9502 2022/08/02 16:46:29 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:53:13 time: 0.2831 data_time: 0.0224 memory: 8198 grad_norm: 4.8392 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1503 loss: 2.1503 2022/08/02 16:46:35 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:53:06 time: 0.2847 data_time: 0.0273 memory: 8198 grad_norm: 4.7567 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0983 loss: 2.0983 2022/08/02 16:46:40 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:52:58 time: 0.2800 data_time: 0.0222 memory: 8198 grad_norm: 4.8214 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0961 loss: 2.0961 2022/08/02 16:46:46 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:52:53 time: 0.2895 data_time: 0.0234 memory: 8198 grad_norm: 4.7694 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1480 loss: 2.1480 2022/08/02 16:46:52 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:52:46 time: 0.2820 data_time: 0.0181 memory: 8198 grad_norm: 4.8881 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2959 loss: 2.2959 2022/08/02 16:46:57 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:52:40 time: 0.2848 data_time: 0.0223 memory: 8198 grad_norm: 4.9411 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9381 loss: 1.9381 2022/08/02 16:47:03 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:52:32 time: 0.2824 data_time: 0.0246 memory: 8198 grad_norm: 4.9548 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9674 loss: 1.9674 2022/08/02 16:47:09 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:52:28 time: 0.2904 data_time: 0.0290 memory: 8198 grad_norm: 4.9285 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9946 loss: 1.9946 2022/08/02 16:47:15 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:52:21 time: 0.2854 data_time: 0.0159 memory: 8198 grad_norm: 4.8911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2205 loss: 2.2205 2022/08/02 16:47:20 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:52:15 time: 0.2837 data_time: 0.0237 memory: 8198 grad_norm: 4.9120 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1237 loss: 2.1237 2022/08/02 16:47:26 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:52:07 time: 0.2811 data_time: 0.0221 memory: 8198 grad_norm: 4.9727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0158 loss: 2.0158 2022/08/02 16:47:32 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:52:00 time: 0.2822 data_time: 0.0240 memory: 8198 grad_norm: 4.8977 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9152 loss: 1.9152 2022/08/02 16:47:38 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:52:00 time: 0.3060 data_time: 0.0238 memory: 8198 grad_norm: 4.9668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1278 loss: 2.1278 2022/08/02 16:47:43 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:51:51 time: 0.2789 data_time: 0.0284 memory: 8198 grad_norm: 4.8637 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9246 loss: 1.9246 2022/08/02 16:47:49 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:51:45 time: 0.2836 data_time: 0.0205 memory: 8198 grad_norm: 5.0034 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1419 loss: 2.1419 2022/08/02 16:47:55 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:51:37 time: 0.2817 data_time: 0.0197 memory: 8198 grad_norm: 4.9107 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1354 loss: 2.1354 2022/08/02 16:48:00 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:51:31 time: 0.2861 data_time: 0.0286 memory: 8198 grad_norm: 4.9166 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0465 loss: 2.0465 2022/08/02 16:48:06 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:51:23 time: 0.2798 data_time: 0.0246 memory: 8198 grad_norm: 4.9143 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9326 loss: 1.9326 2022/08/02 16:48:12 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:51:17 time: 0.2844 data_time: 0.0216 memory: 8198 grad_norm: 4.8903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2232 loss: 2.2232 2022/08/02 16:48:17 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:51:13 time: 0.2924 data_time: 0.0238 memory: 8198 grad_norm: 4.8375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1917 loss: 2.1917 2022/08/02 16:48:23 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:51:04 time: 0.2792 data_time: 0.0204 memory: 8198 grad_norm: 4.9624 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0831 loss: 2.0831 2022/08/02 16:48:29 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:50:59 time: 0.2870 data_time: 0.0244 memory: 8198 grad_norm: 4.9793 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1291 loss: 2.1291 2022/08/02 16:48:34 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:50:51 time: 0.2817 data_time: 0.0199 memory: 8198 grad_norm: 4.8413 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9740 loss: 1.9740 2022/08/02 16:48:40 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:50:50 time: 0.3034 data_time: 0.0226 memory: 8198 grad_norm: 4.9728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1164 loss: 2.1164 2022/08/02 16:48:46 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:50:43 time: 0.2804 data_time: 0.0253 memory: 8198 grad_norm: 5.0531 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0417 loss: 2.0417 2022/08/02 16:48:52 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:50:35 time: 0.2818 data_time: 0.0253 memory: 8198 grad_norm: 4.8901 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.2484 loss: 2.2484 2022/08/02 16:48:57 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:50:29 time: 0.2845 data_time: 0.0192 memory: 8198 grad_norm: 4.9865 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3065 loss: 2.3065 2022/08/02 16:49:03 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:50:22 time: 0.2836 data_time: 0.0243 memory: 8198 grad_norm: 4.9169 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1874 loss: 2.1874 2022/08/02 16:49:09 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:50:14 time: 0.2780 data_time: 0.0210 memory: 8198 grad_norm: 4.8474 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9167 loss: 1.9167 2022/08/02 16:49:14 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:50:06 time: 0.2822 data_time: 0.0281 memory: 8198 grad_norm: 5.0081 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1489 loss: 2.1489 2022/08/02 16:49:20 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:50:01 time: 0.2874 data_time: 0.0235 memory: 8198 grad_norm: 4.9081 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0535 loss: 2.0535 2022/08/02 16:49:26 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:49:54 time: 0.2831 data_time: 0.0249 memory: 8198 grad_norm: 4.8763 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0338 loss: 2.0338 2022/08/02 16:49:31 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:49:46 time: 0.2809 data_time: 0.0191 memory: 8198 grad_norm: 5.0481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1572 loss: 2.1572 2022/08/02 16:49:37 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:49:46 time: 0.3080 data_time: 0.0255 memory: 8198 grad_norm: 4.8670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0316 loss: 2.0316 2022/08/02 16:49:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:49:42 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:49:46 time: 0.2517 data_time: 0.0129 memory: 8198 grad_norm: 4.9804 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1728 loss: 2.1728 2022/08/02 16:49:50 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 1.0000e-02 eta: 1 day, 11:48:52 time: 0.4059 data_time: 0.1227 memory: 8198 grad_norm: 4.8952 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1119 loss: 2.1119 2022/08/02 16:49:56 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 1.0000e-02 eta: 1 day, 11:48:46 time: 0.2858 data_time: 0.0209 memory: 8198 grad_norm: 4.9495 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2301 loss: 2.2301 2022/08/02 16:50:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:50:02 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 1.0000e-02 eta: 1 day, 11:48:41 time: 0.2908 data_time: 0.0234 memory: 8198 grad_norm: 4.7693 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0894 loss: 2.0894 2022/08/02 16:50:08 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 1.0000e-02 eta: 1 day, 11:48:37 time: 0.2931 data_time: 0.0210 memory: 8198 grad_norm: 4.8069 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2662 loss: 2.2662 2022/08/02 16:50:14 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 1.0000e-02 eta: 1 day, 11:48:31 time: 0.2867 data_time: 0.0267 memory: 8198 grad_norm: 4.8418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0376 loss: 2.0376 2022/08/02 16:50:19 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 1.0000e-02 eta: 1 day, 11:48:25 time: 0.2866 data_time: 0.0306 memory: 8198 grad_norm: 4.8146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9505 loss: 1.9505 2022/08/02 16:50:25 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 1.0000e-02 eta: 1 day, 11:48:17 time: 0.2794 data_time: 0.0232 memory: 8198 grad_norm: 4.7264 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8819 loss: 1.8819 2022/08/02 16:50:31 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 1.0000e-02 eta: 1 day, 11:48:10 time: 0.2809 data_time: 0.0213 memory: 8198 grad_norm: 4.8474 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1981 loss: 2.1981 2022/08/02 16:50:36 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 1.0000e-02 eta: 1 day, 11:48:03 time: 0.2816 data_time: 0.0228 memory: 8198 grad_norm: 4.9231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0453 loss: 2.0453 2022/08/02 16:50:42 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 1.0000e-02 eta: 1 day, 11:47:56 time: 0.2832 data_time: 0.0213 memory: 8198 grad_norm: 5.0659 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1797 loss: 2.1797 2022/08/02 16:50:48 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 1.0000e-02 eta: 1 day, 11:47:51 time: 0.2891 data_time: 0.0254 memory: 8198 grad_norm: 4.9424 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0993 loss: 2.0993 2022/08/02 16:50:53 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 1.0000e-02 eta: 1 day, 11:47:43 time: 0.2798 data_time: 0.0242 memory: 8198 grad_norm: 4.9707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0968 loss: 2.0968 2022/08/02 16:50:59 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 1.0000e-02 eta: 1 day, 11:47:35 time: 0.2791 data_time: 0.0215 memory: 8198 grad_norm: 4.8246 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1108 loss: 2.1108 2022/08/02 16:51:04 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 1.0000e-02 eta: 1 day, 11:47:27 time: 0.2810 data_time: 0.0226 memory: 8198 grad_norm: 4.9206 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9276 loss: 1.9276 2022/08/02 16:51:10 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 1.0000e-02 eta: 1 day, 11:47:24 time: 0.2969 data_time: 0.0236 memory: 8198 grad_norm: 5.1391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9918 loss: 1.9918 2022/08/02 16:51:16 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 1.0000e-02 eta: 1 day, 11:47:17 time: 0.2804 data_time: 0.0226 memory: 8198 grad_norm: 5.0337 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1906 loss: 2.1906 2022/08/02 16:51:22 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 1.0000e-02 eta: 1 day, 11:47:10 time: 0.2834 data_time: 0.0251 memory: 8198 grad_norm: 4.8607 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2281 loss: 2.2281 2022/08/02 16:51:28 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 1.0000e-02 eta: 1 day, 11:47:10 time: 0.3065 data_time: 0.0211 memory: 8198 grad_norm: 5.0150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0828 loss: 2.0828 2022/08/02 16:51:33 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 1.0000e-02 eta: 1 day, 11:47:02 time: 0.2787 data_time: 0.0251 memory: 8198 grad_norm: 5.0138 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2117 loss: 2.2117 2022/08/02 16:51:39 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 1.0000e-02 eta: 1 day, 11:46:54 time: 0.2812 data_time: 0.0209 memory: 8198 grad_norm: 4.8523 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9715 loss: 1.9715 2022/08/02 16:51:45 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 1.0000e-02 eta: 1 day, 11:46:47 time: 0.2818 data_time: 0.0232 memory: 8198 grad_norm: 5.0306 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2050 loss: 2.2050 2022/08/02 16:51:50 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 1.0000e-02 eta: 1 day, 11:46:41 time: 0.2843 data_time: 0.0237 memory: 8198 grad_norm: 5.0696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1726 loss: 2.1726 2022/08/02 16:51:56 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 1.0000e-02 eta: 1 day, 11:46:34 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 4.8451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8526 loss: 1.8526 2022/08/02 16:52:02 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 1.0000e-02 eta: 1 day, 11:46:26 time: 0.2807 data_time: 0.0206 memory: 8198 grad_norm: 5.0195 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1009 loss: 2.1009 2022/08/02 16:52:08 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 1.0000e-02 eta: 1 day, 11:46:27 time: 0.3081 data_time: 0.0216 memory: 8198 grad_norm: 4.8669 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0894 loss: 2.0894 2022/08/02 16:52:13 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 1.0000e-02 eta: 1 day, 11:46:18 time: 0.2784 data_time: 0.0220 memory: 8198 grad_norm: 4.9412 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0205 loss: 2.0205 2022/08/02 16:52:19 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 1.0000e-02 eta: 1 day, 11:46:11 time: 0.2798 data_time: 0.0220 memory: 8198 grad_norm: 4.9390 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0560 loss: 2.0560 2022/08/02 16:52:25 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 1.0000e-02 eta: 1 day, 11:46:03 time: 0.2792 data_time: 0.0212 memory: 8198 grad_norm: 4.9679 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2282 loss: 2.2282 2022/08/02 16:52:30 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 1.0000e-02 eta: 1 day, 11:45:58 time: 0.2917 data_time: 0.0237 memory: 8198 grad_norm: 4.8719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8333 loss: 1.8333 2022/08/02 16:52:36 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 1.0000e-02 eta: 1 day, 11:45:53 time: 0.2900 data_time: 0.0358 memory: 8198 grad_norm: 4.9726 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0477 loss: 2.0477 2022/08/02 16:52:42 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 1.0000e-02 eta: 1 day, 11:45:46 time: 0.2805 data_time: 0.0246 memory: 8198 grad_norm: 4.9635 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2703 loss: 2.2703 2022/08/02 16:52:48 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 1.0000e-02 eta: 1 day, 11:45:42 time: 0.2934 data_time: 0.0245 memory: 8198 grad_norm: 5.0145 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1376 loss: 2.1376 2022/08/02 16:52:53 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 1.0000e-02 eta: 1 day, 11:45:34 time: 0.2813 data_time: 0.0209 memory: 8198 grad_norm: 4.9277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8625 loss: 1.8625 2022/08/02 16:52:59 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 1.0000e-02 eta: 1 day, 11:45:31 time: 0.2958 data_time: 0.0205 memory: 8198 grad_norm: 4.9921 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9850 loss: 1.9850 2022/08/02 16:53:05 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 1.0000e-02 eta: 1 day, 11:45:23 time: 0.2795 data_time: 0.0226 memory: 8198 grad_norm: 5.0266 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9446 loss: 1.9446 2022/08/02 16:53:11 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 1.0000e-02 eta: 1 day, 11:45:17 time: 0.2842 data_time: 0.0252 memory: 8198 grad_norm: 4.7846 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8872 loss: 1.8872 2022/08/02 16:53:16 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 1.0000e-02 eta: 1 day, 11:45:09 time: 0.2800 data_time: 0.0278 memory: 8198 grad_norm: 4.9914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0047 loss: 2.0047 2022/08/02 16:53:22 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 1.0000e-02 eta: 1 day, 11:45:03 time: 0.2844 data_time: 0.0208 memory: 8198 grad_norm: 4.9870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8862 loss: 1.8862 2022/08/02 16:53:28 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 1.0000e-02 eta: 1 day, 11:44:57 time: 0.2866 data_time: 0.0238 memory: 8198 grad_norm: 4.8897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9454 loss: 1.9454 2022/08/02 16:53:33 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 1.0000e-02 eta: 1 day, 11:44:49 time: 0.2786 data_time: 0.0222 memory: 8198 grad_norm: 4.9602 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.2124 loss: 2.2124 2022/08/02 16:53:39 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 1.0000e-02 eta: 1 day, 11:44:41 time: 0.2820 data_time: 0.0222 memory: 8198 grad_norm: 4.8729 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0767 loss: 2.0767 2022/08/02 16:53:44 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 1.0000e-02 eta: 1 day, 11:44:34 time: 0.2801 data_time: 0.0224 memory: 8198 grad_norm: 5.0903 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9850 loss: 1.9850 2022/08/02 16:53:50 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 1.0000e-02 eta: 1 day, 11:44:28 time: 0.2875 data_time: 0.0239 memory: 8198 grad_norm: 5.0645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1652 loss: 2.1652 2022/08/02 16:53:56 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 1.0000e-02 eta: 1 day, 11:44:24 time: 0.2911 data_time: 0.0233 memory: 8198 grad_norm: 4.9238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2122 loss: 2.2122 2022/08/02 16:54:02 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 1.0000e-02 eta: 1 day, 11:44:16 time: 0.2816 data_time: 0.0222 memory: 8198 grad_norm: 4.9401 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0352 loss: 2.0352 2022/08/02 16:54:08 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 1.0000e-02 eta: 1 day, 11:44:13 time: 0.2965 data_time: 0.0273 memory: 8198 grad_norm: 4.8375 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0359 loss: 2.0359 2022/08/02 16:54:13 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 1.0000e-02 eta: 1 day, 11:44:05 time: 0.2790 data_time: 0.0236 memory: 8198 grad_norm: 4.7993 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0822 loss: 2.0822 2022/08/02 16:54:19 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 1.0000e-02 eta: 1 day, 11:43:58 time: 0.2832 data_time: 0.0173 memory: 8198 grad_norm: 5.0876 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1610 loss: 2.1610 2022/08/02 16:54:24 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 1.0000e-02 eta: 1 day, 11:43:51 time: 0.2811 data_time: 0.0212 memory: 8198 grad_norm: 4.9304 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0303 loss: 2.0303 2022/08/02 16:54:30 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:43:48 time: 0.2980 data_time: 0.0273 memory: 8198 grad_norm: 4.8997 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3494 loss: 2.3494 2022/08/02 16:54:36 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:43:41 time: 0.2819 data_time: 0.0200 memory: 8198 grad_norm: 4.9690 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1737 loss: 2.1737 2022/08/02 16:54:42 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:43:35 time: 0.2852 data_time: 0.0217 memory: 8198 grad_norm: 4.8926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1695 loss: 2.1695 2022/08/02 16:54:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:54:47 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:43:30 time: 0.2897 data_time: 0.0219 memory: 8198 grad_norm: 5.0140 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0905 loss: 2.0905 2022/08/02 16:54:53 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:43:24 time: 0.2865 data_time: 0.0227 memory: 8198 grad_norm: 4.9076 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9857 loss: 1.9857 2022/08/02 16:54:59 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:43:16 time: 0.2799 data_time: 0.0251 memory: 8198 grad_norm: 4.8119 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.0864 loss: 2.0864 2022/08/02 16:55:04 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:43:09 time: 0.2802 data_time: 0.0211 memory: 8198 grad_norm: 4.9219 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.0469 loss: 2.0469 2022/08/02 16:55:10 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:43:04 time: 0.2923 data_time: 0.0206 memory: 8198 grad_norm: 4.9677 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9861 loss: 1.9861 2022/08/02 16:55:16 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:42:56 time: 0.2758 data_time: 0.0206 memory: 8198 grad_norm: 4.8817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8874 loss: 1.8874 2022/08/02 16:55:22 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:42:53 time: 0.2970 data_time: 0.0257 memory: 8198 grad_norm: 4.8430 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2116 loss: 2.2116 2022/08/02 16:55:28 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:42:56 time: 0.3202 data_time: 0.0221 memory: 8198 grad_norm: 4.7642 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0832 loss: 2.0832 2022/08/02 16:55:34 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:42:47 time: 0.2758 data_time: 0.0245 memory: 8198 grad_norm: 4.8601 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0805 loss: 2.0805 2022/08/02 16:55:39 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:42:39 time: 0.2780 data_time: 0.0190 memory: 8198 grad_norm: 4.9500 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9799 loss: 1.9799 2022/08/02 16:55:45 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:42:32 time: 0.2830 data_time: 0.0257 memory: 8198 grad_norm: 5.0094 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0877 loss: 2.0877 2022/08/02 16:55:51 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:42:30 time: 0.2993 data_time: 0.0249 memory: 8198 grad_norm: 4.8360 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8521 loss: 1.8521 2022/08/02 16:55:57 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:42:22 time: 0.2810 data_time: 0.0250 memory: 8198 grad_norm: 4.8081 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9495 loss: 1.9495 2022/08/02 16:56:02 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:42:14 time: 0.2795 data_time: 0.0207 memory: 8198 grad_norm: 4.9091 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1138 loss: 2.1138 2022/08/02 16:56:08 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:42:09 time: 0.2898 data_time: 0.0245 memory: 8198 grad_norm: 4.9204 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9837 loss: 1.9837 2022/08/02 16:56:14 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:42:02 time: 0.2796 data_time: 0.0253 memory: 8198 grad_norm: 4.9033 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9767 loss: 1.9767 2022/08/02 16:56:19 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:41:54 time: 0.2819 data_time: 0.0232 memory: 8198 grad_norm: 4.9209 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1302 loss: 2.1302 2022/08/02 16:56:25 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:41:47 time: 0.2824 data_time: 0.0240 memory: 8198 grad_norm: 4.9504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2652 loss: 2.2652 2022/08/02 16:56:31 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:41:42 time: 0.2890 data_time: 0.0244 memory: 8198 grad_norm: 4.7009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9625 loss: 1.9625 2022/08/02 16:56:36 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:41:35 time: 0.2802 data_time: 0.0266 memory: 8198 grad_norm: 4.8297 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1167 loss: 2.1167 2022/08/02 16:56:42 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:41:28 time: 0.2849 data_time: 0.0235 memory: 8198 grad_norm: 4.8828 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1053 loss: 2.1053 2022/08/02 16:56:48 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:41:32 time: 0.3216 data_time: 0.0232 memory: 8198 grad_norm: 4.8388 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0193 loss: 2.0193 2022/08/02 16:56:54 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:41:23 time: 0.2753 data_time: 0.0203 memory: 8198 grad_norm: 4.8728 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1048 loss: 2.1048 2022/08/02 16:56:59 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:41:15 time: 0.2792 data_time: 0.0246 memory: 8198 grad_norm: 4.7962 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9798 loss: 1.9798 2022/08/02 16:57:05 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:41:08 time: 0.2809 data_time: 0.0189 memory: 8198 grad_norm: 4.8944 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9548 loss: 1.9548 2022/08/02 16:57:11 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:41:06 time: 0.3029 data_time: 0.0211 memory: 8198 grad_norm: 4.9035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0453 loss: 2.0453 2022/08/02 16:57:17 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:40:59 time: 0.2811 data_time: 0.0225 memory: 8198 grad_norm: 4.8652 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1077 loss: 2.1077 2022/08/02 16:57:22 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:40:52 time: 0.2813 data_time: 0.0244 memory: 8198 grad_norm: 4.9356 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1048 loss: 2.1048 2022/08/02 16:57:28 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:40:47 time: 0.2893 data_time: 0.0238 memory: 8198 grad_norm: 4.9433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8881 loss: 1.8881 2022/08/02 16:57:34 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:40:39 time: 0.2791 data_time: 0.0213 memory: 8198 grad_norm: 4.8920 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0502 loss: 2.0502 2022/08/02 16:57:39 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:40:31 time: 0.2812 data_time: 0.0223 memory: 8198 grad_norm: 4.8575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9673 loss: 1.9673 2022/08/02 16:57:45 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:40:24 time: 0.2814 data_time: 0.0220 memory: 8198 grad_norm: 4.9175 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8828 loss: 1.8828 2022/08/02 16:57:51 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:40:18 time: 0.2867 data_time: 0.0221 memory: 8198 grad_norm: 4.9673 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2059 loss: 2.2059 2022/08/02 16:57:56 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:40:10 time: 0.2777 data_time: 0.0214 memory: 8198 grad_norm: 4.9551 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0293 loss: 2.0293 2022/08/02 16:58:02 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:40:03 time: 0.2822 data_time: 0.0236 memory: 8198 grad_norm: 4.8991 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0363 loss: 2.0363 2022/08/02 16:58:08 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:39:58 time: 0.2889 data_time: 0.0198 memory: 8198 grad_norm: 4.9586 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.8806 loss: 1.8806 2022/08/02 16:58:13 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:39:50 time: 0.2810 data_time: 0.0230 memory: 8198 grad_norm: 4.8881 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.0254 loss: 2.0254 2022/08/02 16:58:19 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:39:44 time: 0.2856 data_time: 0.0285 memory: 8198 grad_norm: 4.8049 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1022 loss: 2.1022 2022/08/02 16:58:26 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:39:57 time: 0.3574 data_time: 0.0210 memory: 8198 grad_norm: 4.8841 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0581 loss: 2.0581 2022/08/02 16:58:32 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:39:56 time: 0.3053 data_time: 0.0181 memory: 8198 grad_norm: 4.9235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0525 loss: 2.0525 2022/08/02 16:58:38 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:39:51 time: 0.2879 data_time: 0.0265 memory: 8198 grad_norm: 4.8748 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3612 loss: 2.3612 2022/08/02 16:58:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:58:43 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:39:51 time: 0.2504 data_time: 0.0147 memory: 8198 grad_norm: 4.9439 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.0210 loss: 2.0210 2022/08/02 16:58:52 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 1.0000e-02 eta: 1 day, 11:39:10 time: 0.4497 data_time: 0.1041 memory: 8198 grad_norm: 4.9656 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0765 loss: 2.0765 2022/08/02 16:58:58 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 1.0000e-02 eta: 1 day, 11:39:04 time: 0.2825 data_time: 0.0225 memory: 8198 grad_norm: 4.9593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1589 loss: 2.1589 2022/08/02 16:59:03 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 1.0000e-02 eta: 1 day, 11:38:56 time: 0.2817 data_time: 0.0291 memory: 8198 grad_norm: 4.8438 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0627 loss: 2.0627 2022/08/02 16:59:09 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 1.0000e-02 eta: 1 day, 11:38:52 time: 0.2913 data_time: 0.0209 memory: 8198 grad_norm: 4.9040 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0448 loss: 2.0448 2022/08/02 16:59:15 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 1.0000e-02 eta: 1 day, 11:38:44 time: 0.2791 data_time: 0.0231 memory: 8198 grad_norm: 4.8835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8679 loss: 1.8679 2022/08/02 16:59:21 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 1.0000e-02 eta: 1 day, 11:38:40 time: 0.2949 data_time: 0.0228 memory: 8198 grad_norm: 4.6720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9669 loss: 1.9669 2022/08/02 16:59:26 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 1.0000e-02 eta: 1 day, 11:38:33 time: 0.2807 data_time: 0.0217 memory: 8198 grad_norm: 4.7763 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8392 loss: 1.8392 2022/08/02 16:59:32 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 1.0000e-02 eta: 1 day, 11:38:26 time: 0.2815 data_time: 0.0243 memory: 8198 grad_norm: 4.8133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0715 loss: 2.0715 2022/08/02 16:59:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 16:59:37 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 1.0000e-02 eta: 1 day, 11:38:18 time: 0.2799 data_time: 0.0219 memory: 8198 grad_norm: 4.7401 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8167 loss: 1.8167 2022/08/02 16:59:43 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 1.0000e-02 eta: 1 day, 11:38:11 time: 0.2808 data_time: 0.0217 memory: 8198 grad_norm: 4.9818 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9685 loss: 1.9685 2022/08/02 16:59:49 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 1.0000e-02 eta: 1 day, 11:38:07 time: 0.2962 data_time: 0.0238 memory: 8198 grad_norm: 5.0177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1539 loss: 2.1539 2022/08/02 16:59:55 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 1.0000e-02 eta: 1 day, 11:38:00 time: 0.2816 data_time: 0.0199 memory: 8198 grad_norm: 5.1404 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1650 loss: 2.1650 2022/08/02 17:00:00 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 1.0000e-02 eta: 1 day, 11:37:53 time: 0.2799 data_time: 0.0224 memory: 8198 grad_norm: 4.8053 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9195 loss: 1.9195 2022/08/02 17:00:06 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 1.0000e-02 eta: 1 day, 11:37:46 time: 0.2825 data_time: 0.0202 memory: 8198 grad_norm: 4.9588 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1889 loss: 2.1889 2022/08/02 17:00:12 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 1.0000e-02 eta: 1 day, 11:37:40 time: 0.2880 data_time: 0.0225 memory: 8198 grad_norm: 4.9109 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9838 loss: 1.9838 2022/08/02 17:00:17 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 1.0000e-02 eta: 1 day, 11:37:32 time: 0.2778 data_time: 0.0230 memory: 8198 grad_norm: 4.7663 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8029 loss: 1.8029 2022/08/02 17:00:23 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 1.0000e-02 eta: 1 day, 11:37:27 time: 0.2900 data_time: 0.0300 memory: 8198 grad_norm: 5.1460 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8585 loss: 1.8585 2022/08/02 17:00:29 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 1.0000e-02 eta: 1 day, 11:37:22 time: 0.2881 data_time: 0.0174 memory: 8198 grad_norm: 4.8686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1009 loss: 2.1009 2022/08/02 17:00:34 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 1.0000e-02 eta: 1 day, 11:37:15 time: 0.2833 data_time: 0.0207 memory: 8198 grad_norm: 4.9215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0779 loss: 2.0779 2022/08/02 17:00:40 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 1.0000e-02 eta: 1 day, 11:37:09 time: 0.2862 data_time: 0.0268 memory: 8198 grad_norm: 5.0301 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1441 loss: 2.1441 2022/08/02 17:00:46 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 1.0000e-02 eta: 1 day, 11:37:01 time: 0.2787 data_time: 0.0213 memory: 8198 grad_norm: 4.9781 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9968 loss: 1.9968 2022/08/02 17:00:51 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 1.0000e-02 eta: 1 day, 11:36:54 time: 0.2817 data_time: 0.0252 memory: 8198 grad_norm: 5.0471 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0311 loss: 2.0311 2022/08/02 17:00:57 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 1.0000e-02 eta: 1 day, 11:36:47 time: 0.2828 data_time: 0.0213 memory: 8198 grad_norm: 4.7248 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1211 loss: 2.1211 2022/08/02 17:01:03 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 1.0000e-02 eta: 1 day, 11:36:40 time: 0.2831 data_time: 0.0195 memory: 8198 grad_norm: 4.8462 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0740 loss: 2.0740 2022/08/02 17:01:08 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 1.0000e-02 eta: 1 day, 11:36:35 time: 0.2892 data_time: 0.0231 memory: 8198 grad_norm: 4.7467 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9261 loss: 1.9261 2022/08/02 17:01:14 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 1.0000e-02 eta: 1 day, 11:36:27 time: 0.2791 data_time: 0.0197 memory: 8198 grad_norm: 4.9356 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9468 loss: 1.9468 2022/08/02 17:01:20 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 1.0000e-02 eta: 1 day, 11:36:21 time: 0.2852 data_time: 0.0262 memory: 8198 grad_norm: 4.9333 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2337 loss: 2.2337 2022/08/02 17:01:25 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 1.0000e-02 eta: 1 day, 11:36:14 time: 0.2831 data_time: 0.0185 memory: 8198 grad_norm: 4.9349 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1167 loss: 2.1167 2022/08/02 17:01:31 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 1.0000e-02 eta: 1 day, 11:36:12 time: 0.2976 data_time: 0.0274 memory: 8198 grad_norm: 4.7850 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9721 loss: 1.9721 2022/08/02 17:01:37 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 1.0000e-02 eta: 1 day, 11:36:05 time: 0.2857 data_time: 0.0242 memory: 8198 grad_norm: 4.9020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9317 loss: 1.9317 2022/08/02 17:01:43 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 1.0000e-02 eta: 1 day, 11:35:58 time: 0.2824 data_time: 0.0246 memory: 8198 grad_norm: 4.8752 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0450 loss: 2.0450 2022/08/02 17:01:48 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 1.0000e-02 eta: 1 day, 11:35:51 time: 0.2801 data_time: 0.0221 memory: 8198 grad_norm: 4.9850 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0876 loss: 2.0876 2022/08/02 17:01:54 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 1.0000e-02 eta: 1 day, 11:35:44 time: 0.2832 data_time: 0.0246 memory: 8198 grad_norm: 4.8581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9587 loss: 1.9587 2022/08/02 17:02:00 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 1.0000e-02 eta: 1 day, 11:35:37 time: 0.2805 data_time: 0.0226 memory: 8198 grad_norm: 4.8111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0163 loss: 2.0163 2022/08/02 17:02:05 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 1.0000e-02 eta: 1 day, 11:35:29 time: 0.2793 data_time: 0.0225 memory: 8198 grad_norm: 4.8785 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0962 loss: 2.0962 2022/08/02 17:02:11 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 1.0000e-02 eta: 1 day, 11:35:23 time: 0.2837 data_time: 0.0194 memory: 8198 grad_norm: 4.8909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1472 loss: 2.1472 2022/08/02 17:02:17 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 1.0000e-02 eta: 1 day, 11:35:16 time: 0.2832 data_time: 0.0243 memory: 8198 grad_norm: 4.7645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0403 loss: 2.0403 2022/08/02 17:02:22 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 1.0000e-02 eta: 1 day, 11:35:11 time: 0.2891 data_time: 0.0228 memory: 8198 grad_norm: 4.7381 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0082 loss: 2.0082 2022/08/02 17:02:28 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 1.0000e-02 eta: 1 day, 11:35:04 time: 0.2827 data_time: 0.0235 memory: 8198 grad_norm: 4.9761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2378 loss: 2.2378 2022/08/02 17:02:34 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 1.0000e-02 eta: 1 day, 11:34:57 time: 0.2835 data_time: 0.0261 memory: 8198 grad_norm: 4.8586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1502 loss: 2.1502 2022/08/02 17:02:39 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 1.0000e-02 eta: 1 day, 11:34:50 time: 0.2801 data_time: 0.0182 memory: 8198 grad_norm: 4.9329 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9220 loss: 1.9220 2022/08/02 17:02:45 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 1.0000e-02 eta: 1 day, 11:34:43 time: 0.2832 data_time: 0.0230 memory: 8198 grad_norm: 5.0178 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8733 loss: 1.8733 2022/08/02 17:02:51 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 1.0000e-02 eta: 1 day, 11:34:36 time: 0.2818 data_time: 0.0191 memory: 8198 grad_norm: 4.9691 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1086 loss: 2.1086 2022/08/02 17:02:56 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 1.0000e-02 eta: 1 day, 11:34:28 time: 0.2781 data_time: 0.0274 memory: 8198 grad_norm: 4.8880 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8623 loss: 1.8623 2022/08/02 17:03:02 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 1.0000e-02 eta: 1 day, 11:34:21 time: 0.2812 data_time: 0.0247 memory: 8198 grad_norm: 4.9651 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3040 loss: 2.3040 2022/08/02 17:03:07 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 1.0000e-02 eta: 1 day, 11:34:13 time: 0.2785 data_time: 0.0236 memory: 8198 grad_norm: 4.8901 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9643 loss: 1.9643 2022/08/02 17:03:13 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 1.0000e-02 eta: 1 day, 11:34:08 time: 0.2888 data_time: 0.0228 memory: 8198 grad_norm: 4.9930 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1841 loss: 2.1841 2022/08/02 17:03:19 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 1.0000e-02 eta: 1 day, 11:34:00 time: 0.2790 data_time: 0.0214 memory: 8198 grad_norm: 4.8611 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9754 loss: 1.9754 2022/08/02 17:03:24 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 1.0000e-02 eta: 1 day, 11:33:53 time: 0.2832 data_time: 0.0199 memory: 8198 grad_norm: 4.8875 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9544 loss: 1.9544 2022/08/02 17:03:30 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:33:46 time: 0.2827 data_time: 0.0246 memory: 8198 grad_norm: 5.1505 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1824 loss: 2.1824 2022/08/02 17:03:36 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:33:40 time: 0.2838 data_time: 0.0218 memory: 8198 grad_norm: 5.0666 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0472 loss: 2.0472 2022/08/02 17:03:41 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:33:34 time: 0.2885 data_time: 0.0253 memory: 8198 grad_norm: 4.8195 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9746 loss: 1.9746 2022/08/02 17:03:47 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:33:27 time: 0.2814 data_time: 0.0255 memory: 8198 grad_norm: 4.9843 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9249 loss: 1.9249 2022/08/02 17:03:53 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:33:20 time: 0.2825 data_time: 0.0196 memory: 8198 grad_norm: 5.0508 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2489 loss: 2.2489 2022/08/02 17:03:58 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:33:14 time: 0.2848 data_time: 0.0297 memory: 8198 grad_norm: 4.8742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8592 loss: 1.8592 2022/08/02 17:04:04 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:33:07 time: 0.2801 data_time: 0.0221 memory: 8198 grad_norm: 4.9164 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3407 loss: 2.3407 2022/08/02 17:04:10 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:33:01 time: 0.2884 data_time: 0.0249 memory: 8198 grad_norm: 4.9163 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/08/02 17:04:15 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:32:54 time: 0.2812 data_time: 0.0245 memory: 8198 grad_norm: 4.8092 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1083 loss: 2.1083 2022/08/02 17:04:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:04:21 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:32:47 time: 0.2830 data_time: 0.0233 memory: 8198 grad_norm: 4.7921 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9865 loss: 1.9865 2022/08/02 17:04:27 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:32:40 time: 0.2802 data_time: 0.0231 memory: 8198 grad_norm: 5.0315 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0575 loss: 2.0575 2022/08/02 17:04:32 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:32:34 time: 0.2850 data_time: 0.0221 memory: 8198 grad_norm: 4.9678 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0633 loss: 2.0633 2022/08/02 17:04:38 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:32:27 time: 0.2847 data_time: 0.0267 memory: 8198 grad_norm: 4.9116 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1093 loss: 2.1093 2022/08/02 17:04:44 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:32:20 time: 0.2811 data_time: 0.0257 memory: 8198 grad_norm: 4.8481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9886 loss: 1.9886 2022/08/02 17:04:50 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:32:15 time: 0.2883 data_time: 0.0199 memory: 8198 grad_norm: 4.9562 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.1421 loss: 2.1421 2022/08/02 17:04:55 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:32:07 time: 0.2774 data_time: 0.0204 memory: 8198 grad_norm: 4.8500 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1426 loss: 2.1426 2022/08/02 17:05:01 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:31:59 time: 0.2787 data_time: 0.0228 memory: 8198 grad_norm: 4.8914 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1451 loss: 2.1451 2022/08/02 17:05:06 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:31:52 time: 0.2810 data_time: 0.0201 memory: 8198 grad_norm: 4.9234 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9517 loss: 1.9517 2022/08/02 17:05:12 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:31:45 time: 0.2850 data_time: 0.0250 memory: 8198 grad_norm: 4.8885 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0181 loss: 2.0181 2022/08/02 17:05:18 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:31:38 time: 0.2795 data_time: 0.0210 memory: 8198 grad_norm: 4.9405 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2063 loss: 2.2063 2022/08/02 17:05:23 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:31:31 time: 0.2837 data_time: 0.0228 memory: 8198 grad_norm: 4.8696 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2448 loss: 2.2448 2022/08/02 17:05:29 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:31:24 time: 0.2821 data_time: 0.0264 memory: 8198 grad_norm: 4.8393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1875 loss: 2.1875 2022/08/02 17:05:35 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:31:17 time: 0.2819 data_time: 0.0180 memory: 8198 grad_norm: 4.9054 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0554 loss: 2.0554 2022/08/02 17:05:40 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:31:11 time: 0.2838 data_time: 0.0275 memory: 8198 grad_norm: 5.0425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1467 loss: 2.1467 2022/08/02 17:05:46 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:31:03 time: 0.2778 data_time: 0.0220 memory: 8198 grad_norm: 4.9765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1196 loss: 2.1196 2022/08/02 17:05:52 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:31:00 time: 0.2992 data_time: 0.0232 memory: 8198 grad_norm: 4.9198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8786 loss: 1.8786 2022/08/02 17:05:57 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:30:53 time: 0.2803 data_time: 0.0277 memory: 8198 grad_norm: 4.8405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0445 loss: 2.0445 2022/08/02 17:06:03 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:30:45 time: 0.2790 data_time: 0.0239 memory: 8198 grad_norm: 4.8645 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1283 loss: 2.1283 2022/08/02 17:06:09 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:30:39 time: 0.2861 data_time: 0.0225 memory: 8198 grad_norm: 4.8304 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9822 loss: 1.9822 2022/08/02 17:06:14 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:30:32 time: 0.2820 data_time: 0.0250 memory: 8198 grad_norm: 4.8274 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1144 loss: 2.1144 2022/08/02 17:06:20 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:30:25 time: 0.2827 data_time: 0.0212 memory: 8198 grad_norm: 4.9522 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0898 loss: 2.0898 2022/08/02 17:06:26 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:30:18 time: 0.2799 data_time: 0.0233 memory: 8198 grad_norm: 4.8616 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9651 loss: 1.9651 2022/08/02 17:06:31 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:30:12 time: 0.2870 data_time: 0.0202 memory: 8198 grad_norm: 4.8380 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9496 loss: 1.9496 2022/08/02 17:06:37 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:30:05 time: 0.2817 data_time: 0.0247 memory: 8198 grad_norm: 4.8793 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9830 loss: 1.9830 2022/08/02 17:06:43 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:29:59 time: 0.2851 data_time: 0.0220 memory: 8198 grad_norm: 4.9660 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0429 loss: 2.0429 2022/08/02 17:06:48 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:29:53 time: 0.2854 data_time: 0.0269 memory: 8198 grad_norm: 4.8845 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1302 loss: 2.1302 2022/08/02 17:06:54 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:29:45 time: 0.2767 data_time: 0.0203 memory: 8198 grad_norm: 4.8113 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0250 loss: 2.0250 2022/08/02 17:07:00 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:29:38 time: 0.2834 data_time: 0.0246 memory: 8198 grad_norm: 4.9460 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0719 loss: 2.0719 2022/08/02 17:07:05 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:29:31 time: 0.2817 data_time: 0.0236 memory: 8198 grad_norm: 4.7485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0439 loss: 2.0439 2022/08/02 17:07:11 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:29:24 time: 0.2819 data_time: 0.0265 memory: 8198 grad_norm: 4.8029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1061 loss: 2.1061 2022/08/02 17:07:17 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:29:17 time: 0.2830 data_time: 0.0244 memory: 8198 grad_norm: 4.9986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1251 loss: 2.1251 2022/08/02 17:07:22 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:29:10 time: 0.2826 data_time: 0.0257 memory: 8198 grad_norm: 4.8181 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9512 loss: 1.9512 2022/08/02 17:07:28 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:29:05 time: 0.2882 data_time: 0.0246 memory: 8198 grad_norm: 4.9163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1196 loss: 2.1196 2022/08/02 17:07:34 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:29:00 time: 0.2897 data_time: 0.0263 memory: 8198 grad_norm: 4.8336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9597 loss: 1.9597 2022/08/02 17:07:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:07:39 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:29:00 time: 0.2600 data_time: 0.0151 memory: 8198 grad_norm: 4.9573 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 2.0050 loss: 2.0050 2022/08/02 17:07:47 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 1.0000e-02 eta: 1 day, 11:28:16 time: 0.4264 data_time: 0.1457 memory: 8198 grad_norm: 4.7393 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/08/02 17:07:53 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 1.0000e-02 eta: 1 day, 11:28:09 time: 0.2840 data_time: 0.0221 memory: 8198 grad_norm: 4.8043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/08/02 17:07:59 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 1.0000e-02 eta: 1 day, 11:28:05 time: 0.2939 data_time: 0.0260 memory: 8198 grad_norm: 4.9069 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9560 loss: 1.9560 2022/08/02 17:08:05 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 1.0000e-02 eta: 1 day, 11:27:59 time: 0.2836 data_time: 0.0231 memory: 8198 grad_norm: 4.8594 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8071 loss: 1.8071 2022/08/02 17:08:10 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 1.0000e-02 eta: 1 day, 11:27:53 time: 0.2877 data_time: 0.0235 memory: 8198 grad_norm: 4.9491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8794 loss: 1.8794 2022/08/02 17:08:16 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 1.0000e-02 eta: 1 day, 11:27:46 time: 0.2808 data_time: 0.0215 memory: 8198 grad_norm: 4.8763 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9021 loss: 1.9021 2022/08/02 17:08:22 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 1.0000e-02 eta: 1 day, 11:27:40 time: 0.2844 data_time: 0.0219 memory: 8198 grad_norm: 4.8365 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0367 loss: 2.0367 2022/08/02 17:08:27 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 1.0000e-02 eta: 1 day, 11:27:33 time: 0.2823 data_time: 0.0222 memory: 8198 grad_norm: 4.9352 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0265 loss: 2.0265 2022/08/02 17:08:33 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 1.0000e-02 eta: 1 day, 11:27:27 time: 0.2866 data_time: 0.0264 memory: 8198 grad_norm: 4.9242 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9853 loss: 1.9853 2022/08/02 17:08:39 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 1.0000e-02 eta: 1 day, 11:27:20 time: 0.2810 data_time: 0.0200 memory: 8198 grad_norm: 4.8463 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1248 loss: 2.1248 2022/08/02 17:08:44 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 1.0000e-02 eta: 1 day, 11:27:14 time: 0.2852 data_time: 0.0260 memory: 8198 grad_norm: 4.9448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0156 loss: 2.0156 2022/08/02 17:08:50 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 1.0000e-02 eta: 1 day, 11:27:08 time: 0.2855 data_time: 0.0189 memory: 8198 grad_norm: 4.9585 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1362 loss: 2.1362 2022/08/02 17:08:56 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 1.0000e-02 eta: 1 day, 11:27:01 time: 0.2839 data_time: 0.0232 memory: 8198 grad_norm: 4.7804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8030 loss: 1.8030 2022/08/02 17:09:01 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 1.0000e-02 eta: 1 day, 11:26:55 time: 0.2850 data_time: 0.0224 memory: 8198 grad_norm: 4.8631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9096 loss: 1.9096 2022/08/02 17:09:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:09:07 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 1.0000e-02 eta: 1 day, 11:26:48 time: 0.2801 data_time: 0.0265 memory: 8198 grad_norm: 4.9339 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9477 loss: 1.9477 2022/08/02 17:09:13 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 1.0000e-02 eta: 1 day, 11:26:42 time: 0.2849 data_time: 0.0228 memory: 8198 grad_norm: 4.9988 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1043 loss: 2.1043 2022/08/02 17:09:18 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 1.0000e-02 eta: 1 day, 11:26:34 time: 0.2772 data_time: 0.0215 memory: 8198 grad_norm: 4.9386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7514 loss: 1.7514 2022/08/02 17:09:24 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 1.0000e-02 eta: 1 day, 11:26:29 time: 0.2903 data_time: 0.0250 memory: 8198 grad_norm: 4.8656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9298 loss: 1.9298 2022/08/02 17:09:30 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 1.0000e-02 eta: 1 day, 11:26:25 time: 0.2935 data_time: 0.0193 memory: 8198 grad_norm: 4.9042 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0194 loss: 2.0194 2022/08/02 17:09:36 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 1.0000e-02 eta: 1 day, 11:26:16 time: 0.2771 data_time: 0.0232 memory: 8198 grad_norm: 4.7909 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0054 loss: 2.0054 2022/08/02 17:09:41 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 1.0000e-02 eta: 1 day, 11:26:11 time: 0.2898 data_time: 0.0213 memory: 8198 grad_norm: 4.9179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2928 loss: 2.2928 2022/08/02 17:09:47 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 1.0000e-02 eta: 1 day, 11:26:04 time: 0.2779 data_time: 0.0234 memory: 8198 grad_norm: 5.0412 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0423 loss: 2.0423 2022/08/02 17:09:53 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 1.0000e-02 eta: 1 day, 11:25:58 time: 0.2884 data_time: 0.0236 memory: 8198 grad_norm: 4.9130 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9328 loss: 1.9328 2022/08/02 17:09:58 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 1.0000e-02 eta: 1 day, 11:25:51 time: 0.2817 data_time: 0.0229 memory: 8198 grad_norm: 4.9486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0294 loss: 2.0294 2022/08/02 17:10:04 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 1.0000e-02 eta: 1 day, 11:25:44 time: 0.2814 data_time: 0.0254 memory: 8198 grad_norm: 4.9320 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8392 loss: 1.8392 2022/08/02 17:10:10 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 1.0000e-02 eta: 1 day, 11:25:39 time: 0.2878 data_time: 0.0247 memory: 8198 grad_norm: 4.9163 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0934 loss: 2.0934 2022/08/02 17:10:15 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 1.0000e-02 eta: 1 day, 11:25:32 time: 0.2817 data_time: 0.0213 memory: 8198 grad_norm: 4.8376 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0347 loss: 2.0347 2022/08/02 17:10:21 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 1.0000e-02 eta: 1 day, 11:25:26 time: 0.2878 data_time: 0.0196 memory: 8198 grad_norm: 4.9547 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1435 loss: 2.1435 2022/08/02 17:10:27 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 1.0000e-02 eta: 1 day, 11:25:18 time: 0.2769 data_time: 0.0214 memory: 8198 grad_norm: 4.8951 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0116 loss: 2.0116 2022/08/02 17:10:32 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 1.0000e-02 eta: 1 day, 11:25:14 time: 0.2927 data_time: 0.0222 memory: 8198 grad_norm: 4.7786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9121 loss: 1.9121 2022/08/02 17:10:38 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 1.0000e-02 eta: 1 day, 11:25:06 time: 0.2792 data_time: 0.0213 memory: 8198 grad_norm: 4.9381 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0643 loss: 2.0643 2022/08/02 17:10:44 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 1.0000e-02 eta: 1 day, 11:25:00 time: 0.2860 data_time: 0.0221 memory: 8198 grad_norm: 4.9668 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9234 loss: 1.9234 2022/08/02 17:10:50 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 1.0000e-02 eta: 1 day, 11:24:54 time: 0.2857 data_time: 0.0244 memory: 8198 grad_norm: 5.0230 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9516 loss: 1.9516 2022/08/02 17:10:55 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 1.0000e-02 eta: 1 day, 11:24:48 time: 0.2848 data_time: 0.0216 memory: 8198 grad_norm: 4.7715 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1490 loss: 2.1490 2022/08/02 17:11:01 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 1.0000e-02 eta: 1 day, 11:24:42 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 4.9375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0912 loss: 2.0912 2022/08/02 17:11:07 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 1.0000e-02 eta: 1 day, 11:24:36 time: 0.2847 data_time: 0.0197 memory: 8198 grad_norm: 4.8672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9612 loss: 1.9612 2022/08/02 17:11:12 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 1.0000e-02 eta: 1 day, 11:24:30 time: 0.2861 data_time: 0.0257 memory: 8198 grad_norm: 4.8770 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/02 17:11:18 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 1.0000e-02 eta: 1 day, 11:24:23 time: 0.2832 data_time: 0.0186 memory: 8198 grad_norm: 4.8559 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9218 loss: 1.9218 2022/08/02 17:11:24 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 1.0000e-02 eta: 1 day, 11:24:18 time: 0.2883 data_time: 0.0256 memory: 8198 grad_norm: 4.8357 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1319 loss: 2.1319 2022/08/02 17:11:30 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 1.0000e-02 eta: 1 day, 11:24:13 time: 0.2919 data_time: 0.0192 memory: 8198 grad_norm: 5.0111 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0857 loss: 2.0857 2022/08/02 17:11:35 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 1.0000e-02 eta: 1 day, 11:24:06 time: 0.2802 data_time: 0.0222 memory: 8198 grad_norm: 4.8983 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9061 loss: 1.9061 2022/08/02 17:11:41 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 1.0000e-02 eta: 1 day, 11:24:02 time: 0.2951 data_time: 0.0226 memory: 8198 grad_norm: 4.9510 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0673 loss: 2.0673 2022/08/02 17:11:47 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 1.0000e-02 eta: 1 day, 11:23:55 time: 0.2802 data_time: 0.0232 memory: 8198 grad_norm: 4.8773 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1286 loss: 2.1286 2022/08/02 17:11:52 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 1.0000e-02 eta: 1 day, 11:23:50 time: 0.2877 data_time: 0.0254 memory: 8198 grad_norm: 4.7846 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0685 loss: 2.0685 2022/08/02 17:11:58 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 1.0000e-02 eta: 1 day, 11:23:43 time: 0.2813 data_time: 0.0240 memory: 8198 grad_norm: 4.9266 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0359 loss: 2.0359 2022/08/02 17:12:04 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 1.0000e-02 eta: 1 day, 11:23:36 time: 0.2842 data_time: 0.0211 memory: 8198 grad_norm: 4.8773 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1334 loss: 2.1334 2022/08/02 17:12:10 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 1.0000e-02 eta: 1 day, 11:23:31 time: 0.2881 data_time: 0.0241 memory: 8198 grad_norm: 4.7698 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0345 loss: 2.0345 2022/08/02 17:12:15 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 1.0000e-02 eta: 1 day, 11:23:24 time: 0.2804 data_time: 0.0212 memory: 8198 grad_norm: 4.8224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0326 loss: 2.0326 2022/08/02 17:12:21 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 1.0000e-02 eta: 1 day, 11:23:17 time: 0.2839 data_time: 0.0255 memory: 8198 grad_norm: 4.8160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1089 loss: 2.1089 2022/08/02 17:12:27 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:23:10 time: 0.2831 data_time: 0.0205 memory: 8198 grad_norm: 4.8267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1765 loss: 2.1765 2022/08/02 17:12:32 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:23:03 time: 0.2803 data_time: 0.0213 memory: 8198 grad_norm: 4.7948 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0359 loss: 2.0359 2022/08/02 17:12:38 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:22:57 time: 0.2841 data_time: 0.0216 memory: 8198 grad_norm: 4.8980 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/08/02 17:12:44 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:22:52 time: 0.2903 data_time: 0.0271 memory: 8198 grad_norm: 5.0688 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1711 loss: 2.1711 2022/08/02 17:12:49 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:22:45 time: 0.2800 data_time: 0.0212 memory: 8198 grad_norm: 4.9323 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2087 loss: 2.2087 2022/08/02 17:12:55 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:22:38 time: 0.2821 data_time: 0.0263 memory: 8198 grad_norm: 4.9347 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2377 loss: 2.2377 2022/08/02 17:13:01 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:22:31 time: 0.2814 data_time: 0.0204 memory: 8198 grad_norm: 4.9044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8677 loss: 1.8677 2022/08/02 17:13:06 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:22:24 time: 0.2821 data_time: 0.0224 memory: 8198 grad_norm: 4.8542 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8208 loss: 1.8208 2022/08/02 17:13:12 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:22:18 time: 0.2856 data_time: 0.0254 memory: 8198 grad_norm: 4.8053 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8882 loss: 1.8882 2022/08/02 17:13:17 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:22:10 time: 0.2796 data_time: 0.0236 memory: 8198 grad_norm: 4.9303 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0456 loss: 2.0456 2022/08/02 17:13:23 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:22:04 time: 0.2819 data_time: 0.0228 memory: 8198 grad_norm: 4.9511 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/08/02 17:13:29 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:21:58 time: 0.2856 data_time: 0.0233 memory: 8198 grad_norm: 4.9328 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/08/02 17:13:34 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:21:51 time: 0.2818 data_time: 0.0185 memory: 8198 grad_norm: 4.9985 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2751 loss: 2.2751 2022/08/02 17:13:40 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:21:44 time: 0.2808 data_time: 0.0234 memory: 8198 grad_norm: 4.8395 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0244 loss: 2.0244 2022/08/02 17:13:46 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:21:37 time: 0.2820 data_time: 0.0242 memory: 8198 grad_norm: 4.9163 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8478 loss: 1.8478 2022/08/02 17:13:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:13:52 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:21:31 time: 0.2884 data_time: 0.0257 memory: 8198 grad_norm: 4.9192 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1170 loss: 2.1170 2022/08/02 17:13:57 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:21:24 time: 0.2816 data_time: 0.0217 memory: 8198 grad_norm: 4.8785 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0631 loss: 2.0631 2022/08/02 17:14:03 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:21:18 time: 0.2858 data_time: 0.0265 memory: 8198 grad_norm: 4.8931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/08/02 17:14:09 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:21:13 time: 0.2859 data_time: 0.0251 memory: 8198 grad_norm: 4.9320 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9952 loss: 1.9952 2022/08/02 17:14:14 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:21:05 time: 0.2810 data_time: 0.0249 memory: 8198 grad_norm: 4.8259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0148 loss: 2.0148 2022/08/02 17:14:20 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:20:59 time: 0.2834 data_time: 0.0251 memory: 8198 grad_norm: 4.8949 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8921 loss: 1.8921 2022/08/02 17:14:26 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:20:52 time: 0.2819 data_time: 0.0242 memory: 8198 grad_norm: 4.8993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1283 loss: 2.1283 2022/08/02 17:14:31 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:20:46 time: 0.2853 data_time: 0.0235 memory: 8198 grad_norm: 4.9051 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0489 loss: 2.0489 2022/08/02 17:14:37 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:20:38 time: 0.2786 data_time: 0.0253 memory: 8198 grad_norm: 4.7660 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0513 loss: 2.0513 2022/08/02 17:14:42 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:20:31 time: 0.2817 data_time: 0.0222 memory: 8198 grad_norm: 4.9421 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3454 loss: 2.3454 2022/08/02 17:14:48 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:20:24 time: 0.2791 data_time: 0.0224 memory: 8198 grad_norm: 4.9489 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0401 loss: 2.0401 2022/08/02 17:14:54 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:20:20 time: 0.2952 data_time: 0.0256 memory: 8198 grad_norm: 4.8415 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/08/02 17:15:00 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:20:15 time: 0.2877 data_time: 0.0276 memory: 8198 grad_norm: 4.8149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9697 loss: 1.9697 2022/08/02 17:15:05 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:20:09 time: 0.2871 data_time: 0.0309 memory: 8198 grad_norm: 4.8689 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0637 loss: 2.0637 2022/08/02 17:15:11 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:20:05 time: 0.2929 data_time: 0.0229 memory: 8198 grad_norm: 4.9271 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0606 loss: 2.0606 2022/08/02 17:15:17 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:19:57 time: 0.2775 data_time: 0.0229 memory: 8198 grad_norm: 4.8390 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9551 loss: 1.9551 2022/08/02 17:15:23 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:19:50 time: 0.2812 data_time: 0.0218 memory: 8198 grad_norm: 4.8298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0160 loss: 2.0160 2022/08/02 17:15:28 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:19:44 time: 0.2878 data_time: 0.0263 memory: 8198 grad_norm: 4.8954 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0379 loss: 2.0379 2022/08/02 17:15:34 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:19:41 time: 0.2982 data_time: 0.0228 memory: 8198 grad_norm: 4.8027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0766 loss: 2.0766 2022/08/02 17:15:40 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:19:35 time: 0.2838 data_time: 0.0231 memory: 8198 grad_norm: 4.8698 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1664 loss: 2.1664 2022/08/02 17:15:46 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:19:28 time: 0.2827 data_time: 0.0214 memory: 8198 grad_norm: 4.8265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7827 loss: 1.7827 2022/08/02 17:15:51 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:19:22 time: 0.2848 data_time: 0.0219 memory: 8198 grad_norm: 4.9042 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9973 loss: 1.9973 2022/08/02 17:15:57 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:19:15 time: 0.2808 data_time: 0.0294 memory: 8198 grad_norm: 4.7902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8310 loss: 1.8310 2022/08/02 17:16:03 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:19:08 time: 0.2812 data_time: 0.0238 memory: 8198 grad_norm: 4.9085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0926 loss: 2.0926 2022/08/02 17:16:08 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:19:01 time: 0.2803 data_time: 0.0273 memory: 8198 grad_norm: 4.9291 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2024 loss: 2.2024 2022/08/02 17:16:14 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:18:55 time: 0.2846 data_time: 0.0224 memory: 8198 grad_norm: 5.0388 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1098 loss: 2.1098 2022/08/02 17:16:20 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:18:49 time: 0.2856 data_time: 0.0338 memory: 8198 grad_norm: 4.6908 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9764 loss: 1.9764 2022/08/02 17:16:25 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:18:42 time: 0.2818 data_time: 0.0223 memory: 8198 grad_norm: 4.7387 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7987 loss: 1.7987 2022/08/02 17:16:31 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:18:37 time: 0.2895 data_time: 0.0258 memory: 8198 grad_norm: 4.7392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9169 loss: 1.9169 2022/08/02 17:16:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:16:36 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:18:37 time: 0.2516 data_time: 0.0139 memory: 8198 grad_norm: 4.8884 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8103 loss: 1.8103 2022/08/02 17:16:36 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/02 17:16:45 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:00:44 time: 0.3279 data_time: 0.2449 memory: 1514 2022/08/02 17:16:49 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:00:25 time: 0.2206 data_time: 0.1353 memory: 1514 2022/08/02 17:16:55 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:00:28 time: 0.3016 data_time: 0.2172 memory: 1514 2022/08/02 17:17:00 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:17 time: 0.2388 data_time: 0.1539 memory: 1514 2022/08/02 17:17:06 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:17 time: 0.3115 data_time: 0.2257 memory: 1514 2022/08/02 17:17:11 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:07 time: 0.2265 data_time: 0.1406 memory: 1514 2022/08/02 17:17:17 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:04 time: 0.2821 data_time: 0.1993 memory: 1514 2022/08/02 17:17:23 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6095 acc/top5: 0.8279 acc/mean1: 0.6093 2022/08/02 17:17:23 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/02 17:17:24 - mmengine - INFO - The best checkpoint with 0.6095 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/02 17:17:32 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 1.0000e-02 eta: 1 day, 11:17:43 time: 0.3780 data_time: 0.1252 memory: 8198 grad_norm: 4.7957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8800 loss: 1.8800 2022/08/02 17:17:37 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 1.0000e-02 eta: 1 day, 11:17:36 time: 0.2823 data_time: 0.0198 memory: 8198 grad_norm: 4.8617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0052 loss: 2.0052 2022/08/02 17:17:43 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 1.0000e-02 eta: 1 day, 11:17:31 time: 0.2887 data_time: 0.0238 memory: 8198 grad_norm: 4.8629 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8351 loss: 1.8351 2022/08/02 17:17:49 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 1.0000e-02 eta: 1 day, 11:17:24 time: 0.2815 data_time: 0.0201 memory: 8198 grad_norm: 4.8439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7057 loss: 1.7057 2022/08/02 17:17:55 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 1.0000e-02 eta: 1 day, 11:17:18 time: 0.2836 data_time: 0.0259 memory: 8198 grad_norm: 4.7979 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8419 loss: 1.8419 2022/08/02 17:18:00 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 1.0000e-02 eta: 1 day, 11:17:11 time: 0.2843 data_time: 0.0277 memory: 8198 grad_norm: 4.9164 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9758 loss: 1.9758 2022/08/02 17:18:06 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 1.0000e-02 eta: 1 day, 11:17:04 time: 0.2802 data_time: 0.0226 memory: 8198 grad_norm: 5.0886 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8908 loss: 1.8908 2022/08/02 17:18:12 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 1.0000e-02 eta: 1 day, 11:17:00 time: 0.2944 data_time: 0.0217 memory: 8198 grad_norm: 4.9176 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9388 loss: 1.9388 2022/08/02 17:18:17 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 1.0000e-02 eta: 1 day, 11:16:54 time: 0.2848 data_time: 0.0284 memory: 8198 grad_norm: 4.9840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8960 loss: 1.8960 2022/08/02 17:18:23 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 1.0000e-02 eta: 1 day, 11:16:47 time: 0.2822 data_time: 0.0281 memory: 8198 grad_norm: 4.8025 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8289 loss: 1.8289 2022/08/02 17:18:29 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 1.0000e-02 eta: 1 day, 11:16:40 time: 0.2789 data_time: 0.0202 memory: 8198 grad_norm: 4.8447 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1677 loss: 2.1677 2022/08/02 17:18:34 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 1.0000e-02 eta: 1 day, 11:16:33 time: 0.2810 data_time: 0.0218 memory: 8198 grad_norm: 4.8161 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0008 loss: 2.0008 2022/08/02 17:18:40 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 1.0000e-02 eta: 1 day, 11:16:27 time: 0.2849 data_time: 0.0257 memory: 8198 grad_norm: 4.9857 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9614 loss: 1.9614 2022/08/02 17:18:46 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 1.0000e-02 eta: 1 day, 11:16:20 time: 0.2812 data_time: 0.0185 memory: 8198 grad_norm: 4.8904 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9972 loss: 1.9972 2022/08/02 17:18:51 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 1.0000e-02 eta: 1 day, 11:16:13 time: 0.2812 data_time: 0.0247 memory: 8198 grad_norm: 4.8571 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9322 loss: 1.9322 2022/08/02 17:18:57 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 1.0000e-02 eta: 1 day, 11:16:05 time: 0.2787 data_time: 0.0201 memory: 8198 grad_norm: 4.9657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9410 loss: 1.9410 2022/08/02 17:19:03 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 1.0000e-02 eta: 1 day, 11:16:01 time: 0.2926 data_time: 0.0224 memory: 8198 grad_norm: 4.9218 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7957 loss: 1.7957 2022/08/02 17:19:08 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 1.0000e-02 eta: 1 day, 11:15:54 time: 0.2810 data_time: 0.0179 memory: 8198 grad_norm: 4.8254 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1123 loss: 2.1123 2022/08/02 17:19:14 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 1.0000e-02 eta: 1 day, 11:15:47 time: 0.2816 data_time: 0.0246 memory: 8198 grad_norm: 4.7886 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7875 loss: 1.7875 2022/08/02 17:19:20 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 1.0000e-02 eta: 1 day, 11:15:41 time: 0.2857 data_time: 0.0206 memory: 8198 grad_norm: 4.8975 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0082 loss: 2.0082 2022/08/02 17:19:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:19:25 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 1.0000e-02 eta: 1 day, 11:15:34 time: 0.2822 data_time: 0.0257 memory: 8198 grad_norm: 4.9531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9510 loss: 1.9510 2022/08/02 17:19:31 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 1.0000e-02 eta: 1 day, 11:15:27 time: 0.2793 data_time: 0.0283 memory: 8198 grad_norm: 4.9557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0132 loss: 2.0132 2022/08/02 17:19:37 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 1.0000e-02 eta: 1 day, 11:15:20 time: 0.2825 data_time: 0.0247 memory: 8198 grad_norm: 4.9350 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0632 loss: 2.0632 2022/08/02 17:19:43 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 1.0000e-02 eta: 1 day, 11:15:19 time: 0.3052 data_time: 0.0224 memory: 8198 grad_norm: 4.9386 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/08/02 17:19:48 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 1.0000e-02 eta: 1 day, 11:15:11 time: 0.2786 data_time: 0.0235 memory: 8198 grad_norm: 4.8856 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0912 loss: 2.0912 2022/08/02 17:19:54 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 1.0000e-02 eta: 1 day, 11:15:05 time: 0.2840 data_time: 0.0182 memory: 8198 grad_norm: 4.7880 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1244 loss: 2.1244 2022/08/02 17:20:00 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 1.0000e-02 eta: 1 day, 11:14:58 time: 0.2800 data_time: 0.0226 memory: 8198 grad_norm: 4.9817 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8519 loss: 1.8519 2022/08/02 17:20:05 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 1.0000e-02 eta: 1 day, 11:14:51 time: 0.2823 data_time: 0.0237 memory: 8198 grad_norm: 4.9363 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2761 loss: 2.2761 2022/08/02 17:20:11 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 1.0000e-02 eta: 1 day, 11:14:45 time: 0.2844 data_time: 0.0194 memory: 8198 grad_norm: 4.9360 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9055 loss: 1.9055 2022/08/02 17:20:17 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 1.0000e-02 eta: 1 day, 11:14:38 time: 0.2817 data_time: 0.0199 memory: 8198 grad_norm: 4.9881 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8331 loss: 1.8331 2022/08/02 17:20:22 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 1.0000e-02 eta: 1 day, 11:14:32 time: 0.2841 data_time: 0.0280 memory: 8198 grad_norm: 4.9007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1286 loss: 2.1286 2022/08/02 17:20:28 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 1.0000e-02 eta: 1 day, 11:14:25 time: 0.2813 data_time: 0.0253 memory: 8198 grad_norm: 4.9485 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0319 loss: 2.0319 2022/08/02 17:20:34 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 1.0000e-02 eta: 1 day, 11:14:18 time: 0.2835 data_time: 0.0277 memory: 8198 grad_norm: 4.8999 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0169 loss: 2.0169 2022/08/02 17:20:39 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 1.0000e-02 eta: 1 day, 11:14:11 time: 0.2783 data_time: 0.0213 memory: 8198 grad_norm: 4.9451 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0734 loss: 2.0734 2022/08/02 17:20:45 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 1.0000e-02 eta: 1 day, 11:14:05 time: 0.2876 data_time: 0.0269 memory: 8198 grad_norm: 4.9033 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1414 loss: 2.1414 2022/08/02 17:20:50 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 1.0000e-02 eta: 1 day, 11:13:58 time: 0.2803 data_time: 0.0233 memory: 8198 grad_norm: 4.8121 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8008 loss: 1.8008 2022/08/02 17:20:56 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 1.0000e-02 eta: 1 day, 11:13:51 time: 0.2822 data_time: 0.0228 memory: 8198 grad_norm: 4.9073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1117 loss: 2.1117 2022/08/02 17:21:02 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 1.0000e-02 eta: 1 day, 11:13:47 time: 0.2941 data_time: 0.0244 memory: 8198 grad_norm: 4.9357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1652 loss: 2.1652 2022/08/02 17:21:08 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 1.0000e-02 eta: 1 day, 11:13:40 time: 0.2800 data_time: 0.0236 memory: 8198 grad_norm: 4.8789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0865 loss: 2.0865 2022/08/02 17:21:14 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 1.0000e-02 eta: 1 day, 11:13:36 time: 0.2924 data_time: 0.0209 memory: 8198 grad_norm: 4.8026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8759 loss: 1.8759 2022/08/02 17:21:19 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 1.0000e-02 eta: 1 day, 11:13:30 time: 0.2864 data_time: 0.0302 memory: 8198 grad_norm: 4.9782 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9507 loss: 1.9507 2022/08/02 17:21:25 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 1.0000e-02 eta: 1 day, 11:13:22 time: 0.2792 data_time: 0.0256 memory: 8198 grad_norm: 4.8989 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8905 loss: 1.8905 2022/08/02 17:21:30 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 1.0000e-02 eta: 1 day, 11:13:16 time: 0.2834 data_time: 0.0263 memory: 8198 grad_norm: 4.9469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0510 loss: 2.0510 2022/08/02 17:21:36 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 1.0000e-02 eta: 1 day, 11:13:09 time: 0.2829 data_time: 0.0195 memory: 8198 grad_norm: 5.0215 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2043 loss: 2.2043 2022/08/02 17:21:42 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 1.0000e-02 eta: 1 day, 11:13:04 time: 0.2885 data_time: 0.0241 memory: 8198 grad_norm: 4.8672 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9699 loss: 1.9699 2022/08/02 17:21:47 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 1.0000e-02 eta: 1 day, 11:12:56 time: 0.2757 data_time: 0.0188 memory: 8198 grad_norm: 4.8172 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9457 loss: 1.9457 2022/08/02 17:21:53 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 1.0000e-02 eta: 1 day, 11:12:49 time: 0.2819 data_time: 0.0253 memory: 8198 grad_norm: 5.0170 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0220 loss: 2.0220 2022/08/02 17:21:59 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 1.0000e-02 eta: 1 day, 11:12:43 time: 0.2842 data_time: 0.0255 memory: 8198 grad_norm: 4.9795 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9813 loss: 1.9813 2022/08/02 17:22:05 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 1.0000e-02 eta: 1 day, 11:12:38 time: 0.2903 data_time: 0.0223 memory: 8198 grad_norm: 4.9876 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1624 loss: 2.1624 2022/08/02 17:22:10 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:12:31 time: 0.2788 data_time: 0.0208 memory: 8198 grad_norm: 4.8719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9175 loss: 1.9175 2022/08/02 17:22:16 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:12:24 time: 0.2828 data_time: 0.0224 memory: 8198 grad_norm: 4.8758 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8126 loss: 1.8126 2022/08/02 17:22:21 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:12:18 time: 0.2833 data_time: 0.0202 memory: 8198 grad_norm: 5.0110 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.1240 loss: 2.1240 2022/08/02 17:22:27 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:12:11 time: 0.2824 data_time: 0.0269 memory: 8198 grad_norm: 5.0059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8801 loss: 1.8801 2022/08/02 17:22:33 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:12:05 time: 0.2845 data_time: 0.0204 memory: 8198 grad_norm: 4.9735 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0470 loss: 2.0470 2022/08/02 17:22:38 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:11:58 time: 0.2812 data_time: 0.0243 memory: 8198 grad_norm: 4.9709 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1047 loss: 2.1047 2022/08/02 17:22:44 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:11:51 time: 0.2811 data_time: 0.0251 memory: 8198 grad_norm: 5.0446 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.0875 loss: 2.0875 2022/08/02 17:22:50 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:11:45 time: 0.2873 data_time: 0.0250 memory: 8198 grad_norm: 4.9288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0449 loss: 2.0449 2022/08/02 17:22:55 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:11:38 time: 0.2798 data_time: 0.0241 memory: 8198 grad_norm: 5.0451 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9935 loss: 1.9935 2022/08/02 17:23:01 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:11:32 time: 0.2861 data_time: 0.0220 memory: 8198 grad_norm: 5.0028 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0416 loss: 2.0416 2022/08/02 17:23:07 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:11:25 time: 0.2793 data_time: 0.0218 memory: 8198 grad_norm: 4.9104 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0380 loss: 2.0380 2022/08/02 17:23:12 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:11:19 time: 0.2848 data_time: 0.0284 memory: 8198 grad_norm: 4.9484 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.1153 loss: 2.1153 2022/08/02 17:23:18 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:11:12 time: 0.2813 data_time: 0.0187 memory: 8198 grad_norm: 4.8430 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9885 loss: 1.9885 2022/08/02 17:23:24 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:11:07 time: 0.2903 data_time: 0.0252 memory: 8198 grad_norm: 5.0452 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8382 loss: 1.8382 2022/08/02 17:23:30 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:11:01 time: 0.2835 data_time: 0.0276 memory: 8198 grad_norm: 4.9638 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9075 loss: 1.9075 2022/08/02 17:23:35 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:10:54 time: 0.2816 data_time: 0.0274 memory: 8198 grad_norm: 4.8689 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.0793 loss: 2.0793 2022/08/02 17:23:41 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:10:47 time: 0.2812 data_time: 0.0261 memory: 8198 grad_norm: 5.0337 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0009 loss: 2.0009 2022/08/02 17:23:46 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:10:40 time: 0.2812 data_time: 0.0266 memory: 8198 grad_norm: 4.9157 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8368 loss: 1.8368 2022/08/02 17:23:52 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:10:34 time: 0.2865 data_time: 0.0209 memory: 8198 grad_norm: 4.8615 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1748 loss: 2.1748 2022/08/02 17:23:58 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:10:27 time: 0.2805 data_time: 0.0262 memory: 8198 grad_norm: 4.8518 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2108 loss: 2.2108 2022/08/02 17:24:04 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:10:24 time: 0.2983 data_time: 0.0206 memory: 8198 grad_norm: 4.8283 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9690 loss: 1.9690 2022/08/02 17:24:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:24:09 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:10:17 time: 0.2798 data_time: 0.0261 memory: 8198 grad_norm: 4.7580 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9680 loss: 1.9680 2022/08/02 17:24:15 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:10:11 time: 0.2859 data_time: 0.0219 memory: 8198 grad_norm: 5.1108 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1406 loss: 2.1406 2022/08/02 17:24:21 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:10:05 time: 0.2833 data_time: 0.0259 memory: 8198 grad_norm: 4.9019 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1394 loss: 2.1394 2022/08/02 17:24:26 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:09:57 time: 0.2768 data_time: 0.0198 memory: 8198 grad_norm: 4.9273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7316 loss: 1.7316 2022/08/02 17:24:32 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:09:50 time: 0.2823 data_time: 0.0253 memory: 8198 grad_norm: 4.9911 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0404 loss: 2.0404 2022/08/02 17:24:38 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:09:43 time: 0.2821 data_time: 0.0219 memory: 8198 grad_norm: 4.9679 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9173 loss: 1.9173 2022/08/02 17:24:44 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:09:40 time: 0.2988 data_time: 0.0186 memory: 8198 grad_norm: 4.8211 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8478 loss: 1.8478 2022/08/02 17:24:49 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:09:33 time: 0.2776 data_time: 0.0193 memory: 8198 grad_norm: 4.9350 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7619 loss: 1.7619 2022/08/02 17:24:55 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:09:26 time: 0.2845 data_time: 0.0269 memory: 8198 grad_norm: 4.8767 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0049 loss: 2.0049 2022/08/02 17:25:01 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:09:22 time: 0.2928 data_time: 0.0318 memory: 8198 grad_norm: 4.7570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0330 loss: 2.0330 2022/08/02 17:25:06 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:09:15 time: 0.2796 data_time: 0.0257 memory: 8198 grad_norm: 4.7510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9789 loss: 1.9789 2022/08/02 17:25:12 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:09:09 time: 0.2872 data_time: 0.0196 memory: 8198 grad_norm: 5.0278 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0231 loss: 2.0231 2022/08/02 17:25:18 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:09:02 time: 0.2807 data_time: 0.0233 memory: 8198 grad_norm: 4.8684 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1551 loss: 2.1551 2022/08/02 17:25:23 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:08:57 time: 0.2887 data_time: 0.0244 memory: 8198 grad_norm: 4.7539 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0860 loss: 2.0860 2022/08/02 17:25:29 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:08:50 time: 0.2804 data_time: 0.0285 memory: 8198 grad_norm: 4.8982 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8989 loss: 1.8989 2022/08/02 17:25:35 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:08:44 time: 0.2867 data_time: 0.0203 memory: 8198 grad_norm: 4.9702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9769 loss: 1.9769 2022/08/02 17:25:41 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:08:39 time: 0.2863 data_time: 0.0206 memory: 8198 grad_norm: 4.8906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/08/02 17:25:46 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:08:31 time: 0.2766 data_time: 0.0193 memory: 8198 grad_norm: 4.8850 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8296 loss: 1.8296 2022/08/02 17:25:52 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:08:24 time: 0.2813 data_time: 0.0277 memory: 8198 grad_norm: 4.9130 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9114 loss: 1.9114 2022/08/02 17:25:58 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:08:20 time: 0.2946 data_time: 0.0231 memory: 8198 grad_norm: 4.8439 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0533 loss: 2.0533 2022/08/02 17:26:03 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:08:14 time: 0.2882 data_time: 0.0237 memory: 8198 grad_norm: 4.8238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8694 loss: 1.8694 2022/08/02 17:26:09 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:08:08 time: 0.2816 data_time: 0.0207 memory: 8198 grad_norm: 4.9341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0157 loss: 2.0157 2022/08/02 17:26:15 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:08:01 time: 0.2830 data_time: 0.0259 memory: 8198 grad_norm: 4.8726 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0593 loss: 2.0593 2022/08/02 17:26:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:26:19 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:08:01 time: 0.2543 data_time: 0.0165 memory: 8198 grad_norm: 5.0059 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 1.9677 loss: 1.9677 2022/08/02 17:26:28 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 1.0000e-02 eta: 1 day, 11:07:19 time: 0.4219 data_time: 0.1196 memory: 8198 grad_norm: 4.8069 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0538 loss: 2.0538 2022/08/02 17:26:34 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 1.0000e-02 eta: 1 day, 11:07:14 time: 0.2870 data_time: 0.0218 memory: 8198 grad_norm: 4.7644 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7913 loss: 1.7913 2022/08/02 17:26:39 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 1.0000e-02 eta: 1 day, 11:07:08 time: 0.2872 data_time: 0.0268 memory: 8198 grad_norm: 4.9435 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9137 loss: 1.9137 2022/08/02 17:26:46 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 1.0000e-02 eta: 1 day, 11:07:06 time: 0.3033 data_time: 0.0228 memory: 8198 grad_norm: 4.9878 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1722 loss: 2.1722 2022/08/02 17:26:51 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 1.0000e-02 eta: 1 day, 11:06:59 time: 0.2786 data_time: 0.0283 memory: 8198 grad_norm: 4.9042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6704 loss: 1.6704 2022/08/02 17:26:57 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 1.0000e-02 eta: 1 day, 11:06:52 time: 0.2800 data_time: 0.0234 memory: 8198 grad_norm: 4.9879 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9808 loss: 1.9808 2022/08/02 17:27:02 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 1.0000e-02 eta: 1 day, 11:06:45 time: 0.2801 data_time: 0.0214 memory: 8198 grad_norm: 4.9182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8332 loss: 1.8332 2022/08/02 17:27:08 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 1.0000e-02 eta: 1 day, 11:06:37 time: 0.2783 data_time: 0.0224 memory: 8198 grad_norm: 4.9441 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0450 loss: 2.0450 2022/08/02 17:27:14 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 1.0000e-02 eta: 1 day, 11:06:30 time: 0.2805 data_time: 0.0239 memory: 8198 grad_norm: 4.8604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9728 loss: 1.9728 2022/08/02 17:27:19 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 1.0000e-02 eta: 1 day, 11:06:24 time: 0.2852 data_time: 0.0251 memory: 8198 grad_norm: 4.8811 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9057 loss: 1.9057 2022/08/02 17:27:25 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 1.0000e-02 eta: 1 day, 11:06:18 time: 0.2863 data_time: 0.0234 memory: 8198 grad_norm: 4.8950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9242 loss: 1.9242 2022/08/02 17:27:30 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 1.0000e-02 eta: 1 day, 11:06:11 time: 0.2770 data_time: 0.0200 memory: 8198 grad_norm: 4.8614 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8431 loss: 1.8431 2022/08/02 17:27:36 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 1.0000e-02 eta: 1 day, 11:06:04 time: 0.2805 data_time: 0.0206 memory: 8198 grad_norm: 4.9436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1819 loss: 2.1819 2022/08/02 17:27:42 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 1.0000e-02 eta: 1 day, 11:05:59 time: 0.2900 data_time: 0.0229 memory: 8198 grad_norm: 4.9586 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2221 loss: 2.2221 2022/08/02 17:27:48 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 1.0000e-02 eta: 1 day, 11:05:52 time: 0.2806 data_time: 0.0221 memory: 8198 grad_norm: 4.9487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0380 loss: 2.0380 2022/08/02 17:27:53 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 1.0000e-02 eta: 1 day, 11:05:46 time: 0.2861 data_time: 0.0209 memory: 8198 grad_norm: 4.9788 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8696 loss: 1.8696 2022/08/02 17:27:59 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 1.0000e-02 eta: 1 day, 11:05:39 time: 0.2819 data_time: 0.0204 memory: 8198 grad_norm: 5.0270 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2158 loss: 2.2158 2022/08/02 17:28:04 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 1.0000e-02 eta: 1 day, 11:05:32 time: 0.2795 data_time: 0.0210 memory: 8198 grad_norm: 4.8122 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8756 loss: 1.8756 2022/08/02 17:28:10 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 1.0000e-02 eta: 1 day, 11:05:26 time: 0.2873 data_time: 0.0275 memory: 8198 grad_norm: 4.7558 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9430 loss: 1.9430 2022/08/02 17:28:16 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 1.0000e-02 eta: 1 day, 11:05:20 time: 0.2840 data_time: 0.0248 memory: 8198 grad_norm: 4.9026 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1310 loss: 2.1310 2022/08/02 17:28:22 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 1.0000e-02 eta: 1 day, 11:05:15 time: 0.2873 data_time: 0.0244 memory: 8198 grad_norm: 4.8869 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9924 loss: 1.9924 2022/08/02 17:28:27 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 1.0000e-02 eta: 1 day, 11:05:09 time: 0.2849 data_time: 0.0264 memory: 8198 grad_norm: 4.9209 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0870 loss: 2.0870 2022/08/02 17:28:33 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 1.0000e-02 eta: 1 day, 11:05:02 time: 0.2836 data_time: 0.0226 memory: 8198 grad_norm: 4.8168 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8680 loss: 1.8680 2022/08/02 17:28:39 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 1.0000e-02 eta: 1 day, 11:04:55 time: 0.2811 data_time: 0.0235 memory: 8198 grad_norm: 4.8312 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0199 loss: 2.0199 2022/08/02 17:28:44 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 1.0000e-02 eta: 1 day, 11:04:50 time: 0.2859 data_time: 0.0263 memory: 8198 grad_norm: 4.9288 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0421 loss: 2.0421 2022/08/02 17:28:50 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 1.0000e-02 eta: 1 day, 11:04:42 time: 0.2801 data_time: 0.0266 memory: 8198 grad_norm: 4.8475 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8853 loss: 1.8853 2022/08/02 17:28:56 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 1.0000e-02 eta: 1 day, 11:04:36 time: 0.2819 data_time: 0.0279 memory: 8198 grad_norm: 4.8646 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7420 loss: 1.7420 2022/08/02 17:28:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:29:01 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 1.0000e-02 eta: 1 day, 11:04:30 time: 0.2846 data_time: 0.0184 memory: 8198 grad_norm: 4.9279 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0224 loss: 2.0224 2022/08/02 17:29:07 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 1.0000e-02 eta: 1 day, 11:04:23 time: 0.2805 data_time: 0.0223 memory: 8198 grad_norm: 4.9112 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0982 loss: 2.0982 2022/08/02 17:29:13 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 1.0000e-02 eta: 1 day, 11:04:23 time: 0.3148 data_time: 0.0197 memory: 8198 grad_norm: 4.9467 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9733 loss: 1.9733 2022/08/02 17:29:19 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 1.0000e-02 eta: 1 day, 11:04:16 time: 0.2804 data_time: 0.0204 memory: 8198 grad_norm: 4.9800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7452 loss: 1.7452 2022/08/02 17:29:24 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 1.0000e-02 eta: 1 day, 11:04:09 time: 0.2802 data_time: 0.0234 memory: 8198 grad_norm: 4.8310 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0921 loss: 2.0921 2022/08/02 17:29:30 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 1.0000e-02 eta: 1 day, 11:04:03 time: 0.2835 data_time: 0.0261 memory: 8198 grad_norm: 4.9376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2094 loss: 2.2094 2022/08/02 17:29:36 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 1.0000e-02 eta: 1 day, 11:03:56 time: 0.2810 data_time: 0.0247 memory: 8198 grad_norm: 4.7346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9319 loss: 1.9319 2022/08/02 17:29:42 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 1.0000e-02 eta: 1 day, 11:03:51 time: 0.2892 data_time: 0.0264 memory: 8198 grad_norm: 4.7548 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9040 loss: 1.9040 2022/08/02 17:29:47 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 1.0000e-02 eta: 1 day, 11:03:44 time: 0.2800 data_time: 0.0209 memory: 8198 grad_norm: 4.7569 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8103 loss: 1.8103 2022/08/02 17:29:53 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 1.0000e-02 eta: 1 day, 11:03:37 time: 0.2826 data_time: 0.0220 memory: 8198 grad_norm: 4.8427 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9632 loss: 1.9632 2022/08/02 17:29:58 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 1.0000e-02 eta: 1 day, 11:03:30 time: 0.2803 data_time: 0.0223 memory: 8198 grad_norm: 4.9539 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0331 loss: 2.0331 2022/08/02 17:30:04 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 1.0000e-02 eta: 1 day, 11:03:23 time: 0.2800 data_time: 0.0225 memory: 8198 grad_norm: 4.8302 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8051 loss: 1.8051 2022/08/02 17:30:10 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 1.0000e-02 eta: 1 day, 11:03:16 time: 0.2811 data_time: 0.0228 memory: 8198 grad_norm: 4.9009 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7981 loss: 1.7981 2022/08/02 17:30:15 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 1.0000e-02 eta: 1 day, 11:03:10 time: 0.2829 data_time: 0.0226 memory: 8198 grad_norm: 4.9668 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0722 loss: 2.0722 2022/08/02 17:30:21 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 1.0000e-02 eta: 1 day, 11:03:07 time: 0.2986 data_time: 0.0255 memory: 8198 grad_norm: 5.0538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0218 loss: 2.0218 2022/08/02 17:30:27 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 1.0000e-02 eta: 1 day, 11:02:59 time: 0.2784 data_time: 0.0211 memory: 8198 grad_norm: 4.7399 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8963 loss: 1.8963 2022/08/02 17:30:33 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 1.0000e-02 eta: 1 day, 11:02:53 time: 0.2851 data_time: 0.0229 memory: 8198 grad_norm: 5.0003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0152 loss: 2.0152 2022/08/02 17:30:38 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 1.0000e-02 eta: 1 day, 11:02:45 time: 0.2774 data_time: 0.0195 memory: 8198 grad_norm: 4.9439 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9319 loss: 1.9319 2022/08/02 17:30:44 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 1.0000e-02 eta: 1 day, 11:02:43 time: 0.3035 data_time: 0.0241 memory: 8198 grad_norm: 4.7867 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8675 loss: 1.8675 2022/08/02 17:30:50 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 1.0000e-02 eta: 1 day, 11:02:37 time: 0.2839 data_time: 0.0271 memory: 8198 grad_norm: 4.9455 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8955 loss: 1.8955 2022/08/02 17:30:56 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 1.0000e-02 eta: 1 day, 11:02:31 time: 0.2823 data_time: 0.0213 memory: 8198 grad_norm: 4.9928 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8434 loss: 1.8434 2022/08/02 17:31:01 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 1.0000e-02 eta: 1 day, 11:02:25 time: 0.2877 data_time: 0.0267 memory: 8198 grad_norm: 4.9878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0658 loss: 2.0658 2022/08/02 17:31:07 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:02:17 time: 0.2753 data_time: 0.0206 memory: 8198 grad_norm: 4.9105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9815 loss: 1.9815 2022/08/02 17:31:12 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:02:10 time: 0.2793 data_time: 0.0227 memory: 8198 grad_norm: 4.8751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8417 loss: 1.8417 2022/08/02 17:31:18 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:02:02 time: 0.2783 data_time: 0.0218 memory: 8198 grad_norm: 4.9122 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1844 loss: 2.1844 2022/08/02 17:31:24 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:01:56 time: 0.2837 data_time: 0.0257 memory: 8198 grad_norm: 5.0711 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8303 loss: 1.8303 2022/08/02 17:31:29 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:01:50 time: 0.2845 data_time: 0.0230 memory: 8198 grad_norm: 4.8009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0169 loss: 2.0169 2022/08/02 17:31:35 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:01:45 time: 0.2902 data_time: 0.0231 memory: 8198 grad_norm: 4.7802 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9146 loss: 1.9146 2022/08/02 17:31:41 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:01:39 time: 0.2859 data_time: 0.0220 memory: 8198 grad_norm: 4.9483 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8777 loss: 1.8777 2022/08/02 17:31:46 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:01:32 time: 0.2802 data_time: 0.0210 memory: 8198 grad_norm: 4.9434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0247 loss: 2.0247 2022/08/02 17:31:52 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:01:26 time: 0.2838 data_time: 0.0208 memory: 8198 grad_norm: 4.9267 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0884 loss: 2.0884 2022/08/02 17:31:58 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:01:19 time: 0.2809 data_time: 0.0249 memory: 8198 grad_norm: 5.0010 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8278 loss: 1.8278 2022/08/02 17:32:04 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:01:14 time: 0.2875 data_time: 0.0263 memory: 8198 grad_norm: 4.8248 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7060 loss: 1.7060 2022/08/02 17:32:09 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:01:07 time: 0.2817 data_time: 0.0243 memory: 8198 grad_norm: 4.8372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8391 loss: 1.8391 2022/08/02 17:32:15 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:01:00 time: 0.2807 data_time: 0.0272 memory: 8198 grad_norm: 4.8687 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8533 loss: 1.8533 2022/08/02 17:32:21 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:00:54 time: 0.2867 data_time: 0.0212 memory: 8198 grad_norm: 5.0492 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9586 loss: 1.9586 2022/08/02 17:32:26 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:00:48 time: 0.2831 data_time: 0.0266 memory: 8198 grad_norm: 4.9139 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9753 loss: 1.9753 2022/08/02 17:32:32 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:00:41 time: 0.2815 data_time: 0.0264 memory: 8198 grad_norm: 4.8852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7302 loss: 1.7302 2022/08/02 17:32:37 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:00:34 time: 0.2803 data_time: 0.0224 memory: 8198 grad_norm: 5.0136 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1933 loss: 2.1933 2022/08/02 17:32:43 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:00:27 time: 0.2820 data_time: 0.0259 memory: 8198 grad_norm: 4.9483 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0236 loss: 2.0236 2022/08/02 17:32:49 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:00:21 time: 0.2820 data_time: 0.0230 memory: 8198 grad_norm: 4.8822 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0392 loss: 2.0392 2022/08/02 17:32:54 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:00:14 time: 0.2811 data_time: 0.0310 memory: 8198 grad_norm: 4.8969 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0541 loss: 2.0541 2022/08/02 17:33:00 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:00:07 time: 0.2822 data_time: 0.0228 memory: 8198 grad_norm: 4.9186 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9200 loss: 1.9200 2022/08/02 17:33:06 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:00:02 time: 0.2883 data_time: 0.0305 memory: 8198 grad_norm: 4.8036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8039 loss: 1.8039 2022/08/02 17:33:12 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 1.0000e-02 eta: 1 day, 10:59:56 time: 0.2853 data_time: 0.0296 memory: 8198 grad_norm: 4.9243 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9521 loss: 1.9521 2022/08/02 17:33:17 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 1.0000e-02 eta: 1 day, 10:59:50 time: 0.2831 data_time: 0.0248 memory: 8198 grad_norm: 4.8799 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7740 loss: 1.7740 2022/08/02 17:33:23 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 1.0000e-02 eta: 1 day, 10:59:42 time: 0.2786 data_time: 0.0232 memory: 8198 grad_norm: 4.9501 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0997 loss: 2.0997 2022/08/02 17:33:28 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 1.0000e-02 eta: 1 day, 10:59:36 time: 0.2818 data_time: 0.0208 memory: 8198 grad_norm: 4.8132 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8971 loss: 1.8971 2022/08/02 17:33:34 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 1.0000e-02 eta: 1 day, 10:59:30 time: 0.2887 data_time: 0.0309 memory: 8198 grad_norm: 4.9718 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0665 loss: 2.0665 2022/08/02 17:33:40 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 1.0000e-02 eta: 1 day, 10:59:24 time: 0.2819 data_time: 0.0251 memory: 8198 grad_norm: 5.0845 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8392 loss: 1.8392 2022/08/02 17:33:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:33:46 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 1.0000e-02 eta: 1 day, 10:59:17 time: 0.2835 data_time: 0.0225 memory: 8198 grad_norm: 5.0247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0310 loss: 2.0310 2022/08/02 17:33:51 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 1.0000e-02 eta: 1 day, 10:59:12 time: 0.2892 data_time: 0.0285 memory: 8198 grad_norm: 4.9124 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8960 loss: 1.8960 2022/08/02 17:33:57 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 1.0000e-02 eta: 1 day, 10:59:05 time: 0.2812 data_time: 0.0224 memory: 8198 grad_norm: 4.7992 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8936 loss: 1.8936 2022/08/02 17:34:03 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 1.0000e-02 eta: 1 day, 10:59:00 time: 0.2861 data_time: 0.0244 memory: 8198 grad_norm: 5.0375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9749 loss: 1.9749 2022/08/02 17:34:08 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 1.0000e-02 eta: 1 day, 10:58:52 time: 0.2793 data_time: 0.0222 memory: 8198 grad_norm: 4.8806 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0908 loss: 2.0908 2022/08/02 17:34:14 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 1.0000e-02 eta: 1 day, 10:58:46 time: 0.2822 data_time: 0.0239 memory: 8198 grad_norm: 4.9964 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2021 loss: 2.2021 2022/08/02 17:34:20 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 1.0000e-02 eta: 1 day, 10:58:39 time: 0.2828 data_time: 0.0288 memory: 8198 grad_norm: 4.8465 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1321 loss: 2.1321 2022/08/02 17:34:25 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 1.0000e-02 eta: 1 day, 10:58:34 time: 0.2859 data_time: 0.0238 memory: 8198 grad_norm: 4.8265 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9732 loss: 1.9732 2022/08/02 17:34:31 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 1.0000e-02 eta: 1 day, 10:58:27 time: 0.2831 data_time: 0.0272 memory: 8198 grad_norm: 4.9337 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9796 loss: 1.9796 2022/08/02 17:34:37 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 1.0000e-02 eta: 1 day, 10:58:21 time: 0.2825 data_time: 0.0273 memory: 8198 grad_norm: 4.9240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8935 loss: 1.8935 2022/08/02 17:34:42 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 1.0000e-02 eta: 1 day, 10:58:14 time: 0.2824 data_time: 0.0271 memory: 8198 grad_norm: 4.8656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3257 loss: 2.3257 2022/08/02 17:34:48 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 1.0000e-02 eta: 1 day, 10:58:08 time: 0.2827 data_time: 0.0242 memory: 8198 grad_norm: 4.9298 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9612 loss: 1.9612 2022/08/02 17:34:54 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 1.0000e-02 eta: 1 day, 10:58:02 time: 0.2879 data_time: 0.0224 memory: 8198 grad_norm: 4.9729 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1323 loss: 2.1323 2022/08/02 17:34:59 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 1.0000e-02 eta: 1 day, 10:57:55 time: 0.2808 data_time: 0.0226 memory: 8198 grad_norm: 4.7816 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8533 loss: 1.8533 2022/08/02 17:35:05 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 1.0000e-02 eta: 1 day, 10:57:49 time: 0.2848 data_time: 0.0243 memory: 8198 grad_norm: 4.7918 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9793 loss: 1.9793 2022/08/02 17:35:11 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 1.0000e-02 eta: 1 day, 10:57:43 time: 0.2825 data_time: 0.0228 memory: 8198 grad_norm: 4.8839 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1241 loss: 2.1241 2022/08/02 17:35:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:35:15 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 1.0000e-02 eta: 1 day, 10:57:43 time: 0.2560 data_time: 0.0145 memory: 8198 grad_norm: 4.9770 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.9863 loss: 1.9863 2022/08/02 17:35:23 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 1.0000e-02 eta: 1 day, 10:56:57 time: 0.3950 data_time: 0.1222 memory: 8198 grad_norm: 4.7456 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7275 loss: 1.7275 2022/08/02 17:35:29 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 1.0000e-02 eta: 1 day, 10:56:51 time: 0.2842 data_time: 0.0216 memory: 8198 grad_norm: 4.7619 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8573 loss: 1.8573 2022/08/02 17:35:35 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 1.0000e-02 eta: 1 day, 10:56:47 time: 0.2952 data_time: 0.0214 memory: 8198 grad_norm: 4.8253 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9790 loss: 1.9790 2022/08/02 17:35:41 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 1.0000e-02 eta: 1 day, 10:56:41 time: 0.2831 data_time: 0.0222 memory: 8198 grad_norm: 4.9280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0062 loss: 2.0062 2022/08/02 17:35:46 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 1.0000e-02 eta: 1 day, 10:56:34 time: 0.2830 data_time: 0.0207 memory: 8198 grad_norm: 4.9199 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1241 loss: 2.1241 2022/08/02 17:35:52 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 1.0000e-02 eta: 1 day, 10:56:27 time: 0.2813 data_time: 0.0197 memory: 8198 grad_norm: 4.8021 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8542 loss: 1.8542 2022/08/02 17:35:58 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 1.0000e-02 eta: 1 day, 10:56:21 time: 0.2823 data_time: 0.0233 memory: 8198 grad_norm: 4.8143 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9413 loss: 1.9413 2022/08/02 17:36:03 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 1.0000e-02 eta: 1 day, 10:56:15 time: 0.2829 data_time: 0.0235 memory: 8198 grad_norm: 4.8236 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.1186 loss: 2.1186 2022/08/02 17:36:09 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 1.0000e-02 eta: 1 day, 10:56:09 time: 0.2880 data_time: 0.0225 memory: 8198 grad_norm: 4.9016 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9576 loss: 1.9576 2022/08/02 17:36:15 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 1.0000e-02 eta: 1 day, 10:56:02 time: 0.2794 data_time: 0.0253 memory: 8198 grad_norm: 4.8835 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8192 loss: 1.8192 2022/08/02 17:36:20 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 1.0000e-02 eta: 1 day, 10:55:56 time: 0.2858 data_time: 0.0318 memory: 8198 grad_norm: 4.8158 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9019 loss: 1.9019 2022/08/02 17:36:26 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 1.0000e-02 eta: 1 day, 10:55:51 time: 0.2892 data_time: 0.0195 memory: 8198 grad_norm: 4.7838 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9093 loss: 1.9093 2022/08/02 17:36:32 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 1.0000e-02 eta: 1 day, 10:55:46 time: 0.2873 data_time: 0.0278 memory: 8198 grad_norm: 4.8594 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0117 loss: 2.0117 2022/08/02 17:36:38 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 1.0000e-02 eta: 1 day, 10:55:39 time: 0.2808 data_time: 0.0239 memory: 8198 grad_norm: 4.9528 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0368 loss: 2.0368 2022/08/02 17:36:43 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 1.0000e-02 eta: 1 day, 10:55:33 time: 0.2848 data_time: 0.0249 memory: 8198 grad_norm: 4.9071 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8616 loss: 1.8616 2022/08/02 17:36:49 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 1.0000e-02 eta: 1 day, 10:55:26 time: 0.2813 data_time: 0.0238 memory: 8198 grad_norm: 4.9783 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8227 loss: 1.8227 2022/08/02 17:36:55 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 1.0000e-02 eta: 1 day, 10:55:24 time: 0.3050 data_time: 0.0239 memory: 8198 grad_norm: 4.9239 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1331 loss: 2.1331 2022/08/02 17:37:01 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 1.0000e-02 eta: 1 day, 10:55:18 time: 0.2845 data_time: 0.0219 memory: 8198 grad_norm: 4.8921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8412 loss: 1.8412 2022/08/02 17:37:06 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 1.0000e-02 eta: 1 day, 10:55:12 time: 0.2837 data_time: 0.0266 memory: 8198 grad_norm: 4.7235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0244 loss: 2.0244 2022/08/02 17:37:12 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 1.0000e-02 eta: 1 day, 10:55:05 time: 0.2808 data_time: 0.0235 memory: 8198 grad_norm: 4.8430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/08/02 17:37:18 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 1.0000e-02 eta: 1 day, 10:55:00 time: 0.2877 data_time: 0.0249 memory: 8198 grad_norm: 4.8631 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9138 loss: 1.9138 2022/08/02 17:37:24 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 1.0000e-02 eta: 1 day, 10:54:55 time: 0.2907 data_time: 0.0217 memory: 8198 grad_norm: 4.8635 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8884 loss: 1.8884 2022/08/02 17:37:29 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 1.0000e-02 eta: 1 day, 10:54:48 time: 0.2790 data_time: 0.0249 memory: 8198 grad_norm: 4.8169 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9299 loss: 1.9299 2022/08/02 17:37:35 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 1.0000e-02 eta: 1 day, 10:54:43 time: 0.2889 data_time: 0.0299 memory: 8198 grad_norm: 4.8126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8744 loss: 1.8744 2022/08/02 17:37:41 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 1.0000e-02 eta: 1 day, 10:54:36 time: 0.2821 data_time: 0.0251 memory: 8198 grad_norm: 5.0038 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9650 loss: 1.9650 2022/08/02 17:37:47 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 1.0000e-02 eta: 1 day, 10:54:33 time: 0.2977 data_time: 0.0195 memory: 8198 grad_norm: 4.9479 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1782 loss: 2.1782 2022/08/02 17:37:52 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 1.0000e-02 eta: 1 day, 10:54:27 time: 0.2859 data_time: 0.0315 memory: 8198 grad_norm: 4.7988 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0522 loss: 2.0522 2022/08/02 17:37:58 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 1.0000e-02 eta: 1 day, 10:54:20 time: 0.2802 data_time: 0.0206 memory: 8198 grad_norm: 4.8738 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8348 loss: 1.8348 2022/08/02 17:38:04 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 1.0000e-02 eta: 1 day, 10:54:13 time: 0.2816 data_time: 0.0250 memory: 8198 grad_norm: 4.9006 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9132 loss: 1.9132 2022/08/02 17:38:09 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 1.0000e-02 eta: 1 day, 10:54:06 time: 0.2800 data_time: 0.0215 memory: 8198 grad_norm: 4.8724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8469 loss: 1.8469 2022/08/02 17:38:15 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 1.0000e-02 eta: 1 day, 10:53:59 time: 0.2790 data_time: 0.0244 memory: 8198 grad_norm: 4.9561 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1386 loss: 2.1386 2022/08/02 17:38:20 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 1.0000e-02 eta: 1 day, 10:53:53 time: 0.2863 data_time: 0.0290 memory: 8198 grad_norm: 4.9144 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9790 loss: 1.9790 2022/08/02 17:38:26 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 1.0000e-02 eta: 1 day, 10:53:48 time: 0.2860 data_time: 0.0262 memory: 8198 grad_norm: 4.8662 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8045 loss: 1.8045 2022/08/02 17:38:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:38:32 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 1.0000e-02 eta: 1 day, 10:53:41 time: 0.2805 data_time: 0.0201 memory: 8198 grad_norm: 4.8882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0960 loss: 2.0960 2022/08/02 17:38:37 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 1.0000e-02 eta: 1 day, 10:53:34 time: 0.2815 data_time: 0.0251 memory: 8198 grad_norm: 4.9147 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8307 loss: 1.8307 2022/08/02 17:38:43 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 1.0000e-02 eta: 1 day, 10:53:29 time: 0.2870 data_time: 0.0205 memory: 8198 grad_norm: 4.8525 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8765 loss: 1.8765 2022/08/02 17:38:49 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 1.0000e-02 eta: 1 day, 10:53:21 time: 0.2792 data_time: 0.0255 memory: 8198 grad_norm: 4.8952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0209 loss: 2.0209 2022/08/02 17:38:55 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 1.0000e-02 eta: 1 day, 10:53:25 time: 0.3303 data_time: 0.0784 memory: 8198 grad_norm: 4.8757 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1096 loss: 2.1096 2022/08/02 17:39:01 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 1.0000e-02 eta: 1 day, 10:53:19 time: 0.2842 data_time: 0.0206 memory: 8198 grad_norm: 5.1822 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0570 loss: 2.0570 2022/08/02 17:39:07 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 1.0000e-02 eta: 1 day, 10:53:12 time: 0.2838 data_time: 0.0196 memory: 8198 grad_norm: 4.8978 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8777 loss: 1.8777 2022/08/02 17:39:12 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 1.0000e-02 eta: 1 day, 10:53:06 time: 0.2812 data_time: 0.0235 memory: 8198 grad_norm: 4.9997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9602 loss: 1.9602 2022/08/02 17:39:18 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 1.0000e-02 eta: 1 day, 10:52:59 time: 0.2814 data_time: 0.0214 memory: 8198 grad_norm: 4.8295 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9869 loss: 1.9869 2022/08/02 17:39:24 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 1.0000e-02 eta: 1 day, 10:52:53 time: 0.2868 data_time: 0.0239 memory: 8198 grad_norm: 4.7742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7938 loss: 1.7938 2022/08/02 17:39:29 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 1.0000e-02 eta: 1 day, 10:52:47 time: 0.2830 data_time: 0.0234 memory: 8198 grad_norm: 4.8358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9717 loss: 1.9717 2022/08/02 17:39:35 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 1.0000e-02 eta: 1 day, 10:52:40 time: 0.2815 data_time: 0.0194 memory: 8198 grad_norm: 4.9222 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9737 loss: 1.9737 2022/08/02 17:39:41 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 1.0000e-02 eta: 1 day, 10:52:35 time: 0.2888 data_time: 0.0232 memory: 8198 grad_norm: 4.9334 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0285 loss: 2.0285 2022/08/02 17:39:46 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 1.0000e-02 eta: 1 day, 10:52:29 time: 0.2826 data_time: 0.0242 memory: 8198 grad_norm: 4.8867 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9531 loss: 1.9531 2022/08/02 17:39:52 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 1.0000e-02 eta: 1 day, 10:52:23 time: 0.2871 data_time: 0.0261 memory: 8198 grad_norm: 4.8903 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1762 loss: 2.1762 2022/08/02 17:39:58 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 1.0000e-02 eta: 1 day, 10:52:17 time: 0.2848 data_time: 0.0266 memory: 8198 grad_norm: 4.8966 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9791 loss: 1.9791 2022/08/02 17:40:04 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 1.0000e-02 eta: 1 day, 10:52:14 time: 0.2963 data_time: 0.0253 memory: 8198 grad_norm: 4.8854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0656 loss: 2.0656 2022/08/02 17:40:09 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 1.0000e-02 eta: 1 day, 10:52:06 time: 0.2779 data_time: 0.0240 memory: 8198 grad_norm: 4.8638 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8948 loss: 1.8948 2022/08/02 17:40:15 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 1.0000e-02 eta: 1 day, 10:52:00 time: 0.2837 data_time: 0.0219 memory: 8198 grad_norm: 4.8669 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9329 loss: 1.9329 2022/08/02 17:40:21 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 1.0000e-02 eta: 1 day, 10:51:53 time: 0.2823 data_time: 0.0246 memory: 8198 grad_norm: 4.8912 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9182 loss: 1.9182 2022/08/02 17:40:26 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 1.0000e-02 eta: 1 day, 10:51:48 time: 0.2874 data_time: 0.0235 memory: 8198 grad_norm: 4.9526 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7932 loss: 1.7932 2022/08/02 17:40:32 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 1.0000e-02 eta: 1 day, 10:51:42 time: 0.2833 data_time: 0.0221 memory: 8198 grad_norm: 4.9398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0362 loss: 2.0362 2022/08/02 17:40:38 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 1.0000e-02 eta: 1 day, 10:51:35 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 4.9107 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1384 loss: 2.1384 2022/08/02 17:40:44 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 1.0000e-02 eta: 1 day, 10:51:29 time: 0.2836 data_time: 0.0273 memory: 8198 grad_norm: 4.9552 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8426 loss: 1.8426 2022/08/02 17:40:50 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 1.0000e-02 eta: 1 day, 10:51:27 time: 0.3031 data_time: 0.0482 memory: 8198 grad_norm: 4.9034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7818 loss: 1.7818 2022/08/02 17:40:55 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 1.0000e-02 eta: 1 day, 10:51:20 time: 0.2821 data_time: 0.0215 memory: 8198 grad_norm: 4.8560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9364 loss: 1.9364 2022/08/02 17:41:01 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 1.0000e-02 eta: 1 day, 10:51:13 time: 0.2783 data_time: 0.0189 memory: 8198 grad_norm: 4.8248 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0197 loss: 2.0197 2022/08/02 17:41:06 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 1.0000e-02 eta: 1 day, 10:51:07 time: 0.2825 data_time: 0.0264 memory: 8198 grad_norm: 5.0195 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1661 loss: 2.1661 2022/08/02 17:41:12 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 1.0000e-02 eta: 1 day, 10:51:03 time: 0.2967 data_time: 0.0210 memory: 8198 grad_norm: 4.7494 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9078 loss: 1.9078 2022/08/02 17:41:18 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 1.0000e-02 eta: 1 day, 10:50:59 time: 0.2933 data_time: 0.0170 memory: 8198 grad_norm: 4.9402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7597 loss: 1.7597 2022/08/02 17:41:24 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 1.0000e-02 eta: 1 day, 10:50:52 time: 0.2836 data_time: 0.0216 memory: 8198 grad_norm: 5.0528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1991 loss: 2.1991 2022/08/02 17:41:29 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 1.0000e-02 eta: 1 day, 10:50:45 time: 0.2782 data_time: 0.0227 memory: 8198 grad_norm: 4.9575 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1013 loss: 2.1013 2022/08/02 17:41:35 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 1.0000e-02 eta: 1 day, 10:50:40 time: 0.2890 data_time: 0.0210 memory: 8198 grad_norm: 4.7926 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9841 loss: 1.9841 2022/08/02 17:41:41 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 1.0000e-02 eta: 1 day, 10:50:33 time: 0.2790 data_time: 0.0255 memory: 8198 grad_norm: 4.7706 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 1.9755 loss: 1.9755 2022/08/02 17:41:47 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 1.0000e-02 eta: 1 day, 10:50:27 time: 0.2836 data_time: 0.0192 memory: 8198 grad_norm: 4.8573 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9854 loss: 1.9854 2022/08/02 17:41:52 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 1.0000e-02 eta: 1 day, 10:50:20 time: 0.2811 data_time: 0.0191 memory: 8198 grad_norm: 4.9142 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9353 loss: 1.9353 2022/08/02 17:41:58 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 1.0000e-02 eta: 1 day, 10:50:13 time: 0.2826 data_time: 0.0277 memory: 8198 grad_norm: 4.8680 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0781 loss: 2.0781 2022/08/02 17:42:04 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 1.0000e-02 eta: 1 day, 10:50:07 time: 0.2837 data_time: 0.0256 memory: 8198 grad_norm: 4.7715 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8941 loss: 1.8941 2022/08/02 17:42:09 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 1.0000e-02 eta: 1 day, 10:50:01 time: 0.2830 data_time: 0.0228 memory: 8198 grad_norm: 5.0624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0048 loss: 2.0048 2022/08/02 17:42:15 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 1.0000e-02 eta: 1 day, 10:49:55 time: 0.2876 data_time: 0.0313 memory: 8198 grad_norm: 4.9276 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9397 loss: 1.9397 2022/08/02 17:42:21 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 1.0000e-02 eta: 1 day, 10:49:48 time: 0.2792 data_time: 0.0224 memory: 8198 grad_norm: 4.7905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7679 loss: 1.7679 2022/08/02 17:42:26 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 1.0000e-02 eta: 1 day, 10:49:42 time: 0.2848 data_time: 0.0248 memory: 8198 grad_norm: 4.8714 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0696 loss: 2.0696 2022/08/02 17:42:32 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 1.0000e-02 eta: 1 day, 10:49:38 time: 0.2962 data_time: 0.0253 memory: 8198 grad_norm: 4.8659 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8842 loss: 1.8842 2022/08/02 17:42:38 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 1.0000e-02 eta: 1 day, 10:49:31 time: 0.2793 data_time: 0.0259 memory: 8198 grad_norm: 4.9094 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7908 loss: 1.7908 2022/08/02 17:42:43 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 1.0000e-02 eta: 1 day, 10:49:25 time: 0.2822 data_time: 0.0266 memory: 8198 grad_norm: 4.9095 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0877 loss: 2.0877 2022/08/02 17:42:49 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 1.0000e-02 eta: 1 day, 10:49:18 time: 0.2819 data_time: 0.0245 memory: 8198 grad_norm: 4.9519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0432 loss: 2.0432 2022/08/02 17:42:55 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 1.0000e-02 eta: 1 day, 10:49:12 time: 0.2827 data_time: 0.0221 memory: 8198 grad_norm: 4.8573 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0440 loss: 2.0440 2022/08/02 17:43:01 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 1.0000e-02 eta: 1 day, 10:49:07 time: 0.2914 data_time: 0.0232 memory: 8198 grad_norm: 4.9532 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0047 loss: 2.0047 2022/08/02 17:43:06 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 1.0000e-02 eta: 1 day, 10:49:00 time: 0.2792 data_time: 0.0268 memory: 8198 grad_norm: 4.9646 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8733 loss: 1.8733 2022/08/02 17:43:12 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 1.0000e-02 eta: 1 day, 10:48:54 time: 0.2837 data_time: 0.0204 memory: 8198 grad_norm: 4.8155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9873 loss: 1.9873 2022/08/02 17:43:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:43:17 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 1.0000e-02 eta: 1 day, 10:48:47 time: 0.2799 data_time: 0.0180 memory: 8198 grad_norm: 4.9023 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7830 loss: 1.7830 2022/08/02 17:43:23 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 1.0000e-02 eta: 1 day, 10:48:40 time: 0.2800 data_time: 0.0234 memory: 8198 grad_norm: 4.8653 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1972 loss: 2.1972 2022/08/02 17:43:29 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 1.0000e-02 eta: 1 day, 10:48:35 time: 0.2901 data_time: 0.0210 memory: 8198 grad_norm: 4.8461 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9211 loss: 1.9211 2022/08/02 17:43:34 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 1.0000e-02 eta: 1 day, 10:48:28 time: 0.2812 data_time: 0.0241 memory: 8198 grad_norm: 4.8597 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9510 loss: 1.9510 2022/08/02 17:43:40 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 1.0000e-02 eta: 1 day, 10:48:21 time: 0.2782 data_time: 0.0235 memory: 8198 grad_norm: 4.9303 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1217 loss: 2.1217 2022/08/02 17:43:46 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 1.0000e-02 eta: 1 day, 10:48:17 time: 0.2974 data_time: 0.0239 memory: 8198 grad_norm: 4.9588 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0619 loss: 2.0619 2022/08/02 17:43:52 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 1.0000e-02 eta: 1 day, 10:48:11 time: 0.2809 data_time: 0.0202 memory: 8198 grad_norm: 4.9642 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9239 loss: 1.9239 2022/08/02 17:43:57 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 1.0000e-02 eta: 1 day, 10:48:05 time: 0.2847 data_time: 0.0306 memory: 8198 grad_norm: 4.8208 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7758 loss: 1.7758 2022/08/02 17:44:03 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 1.0000e-02 eta: 1 day, 10:47:59 time: 0.2881 data_time: 0.0252 memory: 8198 grad_norm: 4.9324 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1139 loss: 2.1139 2022/08/02 17:44:09 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 1.0000e-02 eta: 1 day, 10:47:54 time: 0.2864 data_time: 0.0248 memory: 8198 grad_norm: 4.9157 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0641 loss: 2.0641 2022/08/02 17:44:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:44:14 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 1.0000e-02 eta: 1 day, 10:47:54 time: 0.2589 data_time: 0.0155 memory: 8198 grad_norm: 4.8851 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.7988 loss: 1.7988 2022/08/02 17:44:22 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 1.0000e-02 eta: 1 day, 10:47:14 time: 0.4198 data_time: 0.1127 memory: 8198 grad_norm: 4.8778 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7293 loss: 1.7293 2022/08/02 17:44:28 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 1.0000e-02 eta: 1 day, 10:47:08 time: 0.2845 data_time: 0.0229 memory: 8198 grad_norm: 5.0051 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8741 loss: 1.8741 2022/08/02 17:44:34 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 1.0000e-02 eta: 1 day, 10:47:04 time: 0.2909 data_time: 0.0235 memory: 8198 grad_norm: 5.0117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9651 loss: 1.9651 2022/08/02 17:44:39 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 1.0000e-02 eta: 1 day, 10:46:57 time: 0.2793 data_time: 0.0197 memory: 8198 grad_norm: 4.8579 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7565 loss: 1.7565 2022/08/02 17:44:45 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 1.0000e-02 eta: 1 day, 10:46:52 time: 0.2931 data_time: 0.0209 memory: 8198 grad_norm: 4.9873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9989 loss: 1.9989 2022/08/02 17:44:51 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 1.0000e-02 eta: 1 day, 10:46:49 time: 0.3000 data_time: 0.0479 memory: 8198 grad_norm: 4.9597 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9811 loss: 1.9811 2022/08/02 17:44:57 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 1.0000e-02 eta: 1 day, 10:46:43 time: 0.2817 data_time: 0.0286 memory: 8198 grad_norm: 4.9685 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8140 loss: 1.8140 2022/08/02 17:45:03 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 1.0000e-02 eta: 1 day, 10:46:38 time: 0.2884 data_time: 0.0246 memory: 8198 grad_norm: 4.9345 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0845 loss: 2.0845 2022/08/02 17:45:08 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 1.0000e-02 eta: 1 day, 10:46:32 time: 0.2848 data_time: 0.0323 memory: 8198 grad_norm: 4.8583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9611 loss: 1.9611 2022/08/02 17:45:14 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 1.0000e-02 eta: 1 day, 10:46:25 time: 0.2819 data_time: 0.0244 memory: 8198 grad_norm: 4.9450 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9897 loss: 1.9897 2022/08/02 17:45:20 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 1.0000e-02 eta: 1 day, 10:46:20 time: 0.2895 data_time: 0.0246 memory: 8198 grad_norm: 4.7862 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9041 loss: 1.9041 2022/08/02 17:45:25 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 1.0000e-02 eta: 1 day, 10:46:14 time: 0.2843 data_time: 0.0195 memory: 8198 grad_norm: 4.9205 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8978 loss: 1.8978 2022/08/02 17:45:31 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 1.0000e-02 eta: 1 day, 10:46:07 time: 0.2793 data_time: 0.0271 memory: 8198 grad_norm: 4.8476 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8288 loss: 1.8288 2022/08/02 17:45:37 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 1.0000e-02 eta: 1 day, 10:46:02 time: 0.2891 data_time: 0.0258 memory: 8198 grad_norm: 4.9414 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9211 loss: 1.9211 2022/08/02 17:45:42 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 1.0000e-02 eta: 1 day, 10:45:55 time: 0.2826 data_time: 0.0258 memory: 8198 grad_norm: 4.9698 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9731 loss: 1.9731 2022/08/02 17:45:48 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 1.0000e-02 eta: 1 day, 10:45:49 time: 0.2819 data_time: 0.0206 memory: 8198 grad_norm: 4.8452 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8636 loss: 1.8636 2022/08/02 17:45:54 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 1.0000e-02 eta: 1 day, 10:45:43 time: 0.2858 data_time: 0.0210 memory: 8198 grad_norm: 4.8683 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9219 loss: 1.9219 2022/08/02 17:45:59 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 1.0000e-02 eta: 1 day, 10:45:37 time: 0.2864 data_time: 0.0235 memory: 8198 grad_norm: 4.7521 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9169 loss: 1.9169 2022/08/02 17:46:05 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 1.0000e-02 eta: 1 day, 10:45:31 time: 0.2852 data_time: 0.0247 memory: 8198 grad_norm: 4.8036 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7834 loss: 1.7834 2022/08/02 17:46:11 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 1.0000e-02 eta: 1 day, 10:45:24 time: 0.2789 data_time: 0.0226 memory: 8198 grad_norm: 4.8404 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8506 loss: 1.8506 2022/08/02 17:46:16 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 1.0000e-02 eta: 1 day, 10:45:18 time: 0.2842 data_time: 0.0238 memory: 8198 grad_norm: 4.8551 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9391 loss: 1.9391 2022/08/02 17:46:22 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 1.0000e-02 eta: 1 day, 10:45:12 time: 0.2857 data_time: 0.0214 memory: 8198 grad_norm: 4.8840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7668 loss: 1.7668 2022/08/02 17:46:28 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 1.0000e-02 eta: 1 day, 10:45:05 time: 0.2779 data_time: 0.0230 memory: 8198 grad_norm: 4.8966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/08/02 17:46:33 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 1.0000e-02 eta: 1 day, 10:44:59 time: 0.2857 data_time: 0.0216 memory: 8198 grad_norm: 4.8557 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8662 loss: 1.8662 2022/08/02 17:46:39 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 1.0000e-02 eta: 1 day, 10:44:53 time: 0.2821 data_time: 0.0224 memory: 8198 grad_norm: 4.9301 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0341 loss: 2.0341 2022/08/02 17:46:45 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 1.0000e-02 eta: 1 day, 10:44:47 time: 0.2853 data_time: 0.0253 memory: 8198 grad_norm: 5.0406 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0179 loss: 2.0179 2022/08/02 17:46:50 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 1.0000e-02 eta: 1 day, 10:44:40 time: 0.2815 data_time: 0.0220 memory: 8198 grad_norm: 4.9120 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8769 loss: 1.8769 2022/08/02 17:46:56 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 1.0000e-02 eta: 1 day, 10:44:34 time: 0.2830 data_time: 0.0205 memory: 8198 grad_norm: 4.8458 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8880 loss: 1.8880 2022/08/02 17:47:02 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 1.0000e-02 eta: 1 day, 10:44:28 time: 0.2868 data_time: 0.0258 memory: 8198 grad_norm: 4.8869 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9604 loss: 1.9604 2022/08/02 17:47:07 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 1.0000e-02 eta: 1 day, 10:44:21 time: 0.2795 data_time: 0.0199 memory: 8198 grad_norm: 4.9773 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9175 loss: 1.9175 2022/08/02 17:47:13 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 1.0000e-02 eta: 1 day, 10:44:15 time: 0.2827 data_time: 0.0207 memory: 8198 grad_norm: 5.0233 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0880 loss: 2.0880 2022/08/02 17:47:19 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 1.0000e-02 eta: 1 day, 10:44:11 time: 0.2935 data_time: 0.0245 memory: 8198 grad_norm: 4.9060 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8641 loss: 1.8641 2022/08/02 17:47:25 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 1.0000e-02 eta: 1 day, 10:44:04 time: 0.2842 data_time: 0.0224 memory: 8198 grad_norm: 4.9917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8978 loss: 1.8978 2022/08/02 17:47:30 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 1.0000e-02 eta: 1 day, 10:43:58 time: 0.2820 data_time: 0.0221 memory: 8198 grad_norm: 4.8839 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9033 loss: 1.9033 2022/08/02 17:47:36 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 1.0000e-02 eta: 1 day, 10:43:51 time: 0.2820 data_time: 0.0250 memory: 8198 grad_norm: 4.8830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9926 loss: 1.9926 2022/08/02 17:47:42 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 1.0000e-02 eta: 1 day, 10:43:45 time: 0.2801 data_time: 0.0247 memory: 8198 grad_norm: 4.9064 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1488 loss: 2.1488 2022/08/02 17:47:47 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 1.0000e-02 eta: 1 day, 10:43:39 time: 0.2869 data_time: 0.0270 memory: 8198 grad_norm: 4.9272 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0502 loss: 2.0502 2022/08/02 17:47:53 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 1.0000e-02 eta: 1 day, 10:43:33 time: 0.2846 data_time: 0.0238 memory: 8198 grad_norm: 4.8581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0405 loss: 2.0405 2022/08/02 17:47:59 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 1.0000e-02 eta: 1 day, 10:43:28 time: 0.2910 data_time: 0.0276 memory: 8198 grad_norm: 4.9454 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9111 loss: 1.9111 2022/08/02 17:48:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:48:05 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 1.0000e-02 eta: 1 day, 10:43:22 time: 0.2846 data_time: 0.0206 memory: 8198 grad_norm: 4.9412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9743 loss: 1.9743 2022/08/02 17:48:10 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 1.0000e-02 eta: 1 day, 10:43:16 time: 0.2810 data_time: 0.0228 memory: 8198 grad_norm: 4.8975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9998 loss: 1.9998 2022/08/02 17:48:16 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 1.0000e-02 eta: 1 day, 10:43:10 time: 0.2868 data_time: 0.0229 memory: 8198 grad_norm: 4.9117 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9338 loss: 1.9338 2022/08/02 17:48:22 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 1.0000e-02 eta: 1 day, 10:43:04 time: 0.2832 data_time: 0.0251 memory: 8198 grad_norm: 4.8397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0596 loss: 2.0596 2022/08/02 17:48:27 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 1.0000e-02 eta: 1 day, 10:42:59 time: 0.2902 data_time: 0.0226 memory: 8198 grad_norm: 4.8890 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8121 loss: 1.8121 2022/08/02 17:48:33 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 1.0000e-02 eta: 1 day, 10:42:54 time: 0.2894 data_time: 0.0276 memory: 8198 grad_norm: 4.9957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0406 loss: 2.0406 2022/08/02 17:48:39 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 1.0000e-02 eta: 1 day, 10:42:46 time: 0.2773 data_time: 0.0222 memory: 8198 grad_norm: 4.8010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8544 loss: 1.8544 2022/08/02 17:48:44 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 1.0000e-02 eta: 1 day, 10:42:40 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 5.1218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0284 loss: 2.0284 2022/08/02 17:48:50 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 1.0000e-02 eta: 1 day, 10:42:34 time: 0.2825 data_time: 0.0202 memory: 8198 grad_norm: 4.9603 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9448 loss: 1.9448 2022/08/02 17:48:56 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 1.0000e-02 eta: 1 day, 10:42:29 time: 0.2937 data_time: 0.0265 memory: 8198 grad_norm: 4.8831 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9804 loss: 1.9804 2022/08/02 17:49:02 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 1.0000e-02 eta: 1 day, 10:42:24 time: 0.2856 data_time: 0.0255 memory: 8198 grad_norm: 4.7913 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7243 loss: 1.7243 2022/08/02 17:49:07 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 1.0000e-02 eta: 1 day, 10:42:17 time: 0.2809 data_time: 0.0265 memory: 8198 grad_norm: 4.8245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9644 loss: 1.9644 2022/08/02 17:49:13 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 1.0000e-02 eta: 1 day, 10:42:10 time: 0.2783 data_time: 0.0225 memory: 8198 grad_norm: 4.9116 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8023 loss: 1.8023 2022/08/02 17:49:19 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 1.0000e-02 eta: 1 day, 10:42:03 time: 0.2836 data_time: 0.0269 memory: 8198 grad_norm: 5.0087 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8526 loss: 1.8526 2022/08/02 17:49:24 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 1.0000e-02 eta: 1 day, 10:41:58 time: 0.2879 data_time: 0.0210 memory: 8198 grad_norm: 5.0234 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9831 loss: 1.9831 2022/08/02 17:49:30 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 1.0000e-02 eta: 1 day, 10:41:52 time: 0.2819 data_time: 0.0258 memory: 8198 grad_norm: 4.8628 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0200 loss: 2.0200 2022/08/02 17:49:36 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 1.0000e-02 eta: 1 day, 10:41:47 time: 0.2901 data_time: 0.0224 memory: 8198 grad_norm: 4.7709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0799 loss: 2.0799 2022/08/02 17:49:41 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 1.0000e-02 eta: 1 day, 10:41:40 time: 0.2796 data_time: 0.0234 memory: 8198 grad_norm: 4.9629 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0203 loss: 2.0203 2022/08/02 17:49:47 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 1.0000e-02 eta: 1 day, 10:41:33 time: 0.2818 data_time: 0.0228 memory: 8198 grad_norm: 4.8753 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1290 loss: 2.1290 2022/08/02 17:49:53 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 1.0000e-02 eta: 1 day, 10:41:28 time: 0.2908 data_time: 0.0315 memory: 8198 grad_norm: 5.0094 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0032 loss: 2.0032 2022/08/02 17:49:58 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 1.0000e-02 eta: 1 day, 10:41:22 time: 0.2811 data_time: 0.0275 memory: 8198 grad_norm: 4.9509 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8212 loss: 1.8212 2022/08/02 17:50:04 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 1.0000e-02 eta: 1 day, 10:41:15 time: 0.2828 data_time: 0.0208 memory: 8198 grad_norm: 4.9704 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9389 loss: 1.9389 2022/08/02 17:50:10 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 1.0000e-02 eta: 1 day, 10:41:08 time: 0.2804 data_time: 0.0182 memory: 8198 grad_norm: 4.8505 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0127 loss: 2.0127 2022/08/02 17:50:15 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 1.0000e-02 eta: 1 day, 10:41:02 time: 0.2845 data_time: 0.0237 memory: 8198 grad_norm: 4.8620 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9300 loss: 1.9300 2022/08/02 17:50:21 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 1.0000e-02 eta: 1 day, 10:40:56 time: 0.2820 data_time: 0.0197 memory: 8198 grad_norm: 5.0597 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1383 loss: 2.1383 2022/08/02 17:50:27 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 1.0000e-02 eta: 1 day, 10:40:49 time: 0.2780 data_time: 0.0227 memory: 8198 grad_norm: 4.9571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0526 loss: 2.0526 2022/08/02 17:50:32 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 1.0000e-02 eta: 1 day, 10:40:43 time: 0.2875 data_time: 0.0277 memory: 8198 grad_norm: 4.8236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0600 loss: 2.0600 2022/08/02 17:50:38 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 1.0000e-02 eta: 1 day, 10:40:40 time: 0.2966 data_time: 0.0297 memory: 8198 grad_norm: 4.8684 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9708 loss: 1.9708 2022/08/02 17:50:44 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 1.0000e-02 eta: 1 day, 10:40:35 time: 0.2919 data_time: 0.0214 memory: 8198 grad_norm: 4.9456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7881 loss: 1.7881 2022/08/02 17:50:50 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 1.0000e-02 eta: 1 day, 10:40:29 time: 0.2848 data_time: 0.0211 memory: 8198 grad_norm: 4.9054 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0105 loss: 2.0105 2022/08/02 17:50:56 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 1.0000e-02 eta: 1 day, 10:40:24 time: 0.2883 data_time: 0.0213 memory: 8198 grad_norm: 5.0437 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0751 loss: 2.0751 2022/08/02 17:51:01 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 1.0000e-02 eta: 1 day, 10:40:17 time: 0.2813 data_time: 0.0221 memory: 8198 grad_norm: 4.9764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9091 loss: 1.9091 2022/08/02 17:51:07 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 1.0000e-02 eta: 1 day, 10:40:11 time: 0.2827 data_time: 0.0274 memory: 8198 grad_norm: 4.9037 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0713 loss: 2.0713 2022/08/02 17:51:13 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 1.0000e-02 eta: 1 day, 10:40:04 time: 0.2825 data_time: 0.0222 memory: 8198 grad_norm: 4.7588 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7676 loss: 1.7676 2022/08/02 17:51:18 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 1.0000e-02 eta: 1 day, 10:39:58 time: 0.2847 data_time: 0.0265 memory: 8198 grad_norm: 4.9008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1477 loss: 2.1477 2022/08/02 17:51:24 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 1.0000e-02 eta: 1 day, 10:39:52 time: 0.2840 data_time: 0.0233 memory: 8198 grad_norm: 4.8366 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9295 loss: 1.9295 2022/08/02 17:51:30 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 1.0000e-02 eta: 1 day, 10:39:45 time: 0.2803 data_time: 0.0230 memory: 8198 grad_norm: 4.9031 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9382 loss: 1.9382 2022/08/02 17:51:35 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 1.0000e-02 eta: 1 day, 10:39:40 time: 0.2857 data_time: 0.0239 memory: 8198 grad_norm: 4.8619 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9704 loss: 1.9704 2022/08/02 17:51:41 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 1.0000e-02 eta: 1 day, 10:39:33 time: 0.2806 data_time: 0.0249 memory: 8198 grad_norm: 4.9067 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9069 loss: 1.9069 2022/08/02 17:51:47 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 1.0000e-02 eta: 1 day, 10:39:27 time: 0.2829 data_time: 0.0260 memory: 8198 grad_norm: 4.9529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7753 loss: 1.7753 2022/08/02 17:51:52 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 1.0000e-02 eta: 1 day, 10:39:19 time: 0.2779 data_time: 0.0239 memory: 8198 grad_norm: 5.0370 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0189 loss: 2.0189 2022/08/02 17:51:58 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 1.0000e-02 eta: 1 day, 10:39:13 time: 0.2827 data_time: 0.0224 memory: 8198 grad_norm: 4.9268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8168 loss: 1.8168 2022/08/02 17:52:03 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 1.0000e-02 eta: 1 day, 10:39:07 time: 0.2830 data_time: 0.0229 memory: 8198 grad_norm: 5.0869 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.9015 loss: 1.9015 2022/08/02 17:52:09 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 1.0000e-02 eta: 1 day, 10:39:00 time: 0.2824 data_time: 0.0246 memory: 8198 grad_norm: 4.9005 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8574 loss: 1.8574 2022/08/02 17:52:15 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 1.0000e-02 eta: 1 day, 10:38:54 time: 0.2854 data_time: 0.0258 memory: 8198 grad_norm: 5.0639 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0732 loss: 2.0732 2022/08/02 17:52:20 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 1.0000e-02 eta: 1 day, 10:38:47 time: 0.2804 data_time: 0.0270 memory: 8198 grad_norm: 4.9237 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9882 loss: 1.9882 2022/08/02 17:52:26 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 1.0000e-02 eta: 1 day, 10:38:42 time: 0.2849 data_time: 0.0287 memory: 8198 grad_norm: 4.9763 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9067 loss: 1.9067 2022/08/02 17:52:32 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 1.0000e-02 eta: 1 day, 10:38:35 time: 0.2836 data_time: 0.0241 memory: 8198 grad_norm: 5.0010 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1545 loss: 2.1545 2022/08/02 17:52:37 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 1.0000e-02 eta: 1 day, 10:38:28 time: 0.2780 data_time: 0.0258 memory: 8198 grad_norm: 4.8878 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0065 loss: 2.0065 2022/08/02 17:52:43 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 1.0000e-02 eta: 1 day, 10:38:23 time: 0.2900 data_time: 0.0270 memory: 8198 grad_norm: 4.8000 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9466 loss: 1.9466 2022/08/02 17:52:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:52:49 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 1.0000e-02 eta: 1 day, 10:38:16 time: 0.2805 data_time: 0.0212 memory: 8198 grad_norm: 4.8698 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9259 loss: 1.9259 2022/08/02 17:52:55 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 1.0000e-02 eta: 1 day, 10:38:11 time: 0.2883 data_time: 0.0215 memory: 8198 grad_norm: 4.9487 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1052 loss: 2.1052 2022/08/02 17:53:00 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 1.0000e-02 eta: 1 day, 10:38:04 time: 0.2807 data_time: 0.0238 memory: 8198 grad_norm: 4.7948 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9171 loss: 1.9171 2022/08/02 17:53:06 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 1.0000e-02 eta: 1 day, 10:37:58 time: 0.2828 data_time: 0.0229 memory: 8198 grad_norm: 4.7887 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2199 loss: 2.2199 2022/08/02 17:53:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:53:11 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 1.0000e-02 eta: 1 day, 10:37:58 time: 0.2519 data_time: 0.0143 memory: 8198 grad_norm: 4.8608 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0566 loss: 2.0566 2022/08/02 17:53:11 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/02 17:53:21 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 1.0000e-02 eta: 1 day, 10:37:07 time: 0.3523 data_time: 0.1014 memory: 8198 grad_norm: 4.8677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8027 loss: 1.8027 2022/08/02 17:53:26 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 1.0000e-02 eta: 1 day, 10:37:02 time: 0.2911 data_time: 0.0288 memory: 8198 grad_norm: 4.8657 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0224 loss: 2.0224 2022/08/02 17:53:32 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 1.0000e-02 eta: 1 day, 10:36:56 time: 0.2844 data_time: 0.0223 memory: 8198 grad_norm: 4.8221 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7843 loss: 1.7843 2022/08/02 17:53:38 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 1.0000e-02 eta: 1 day, 10:36:51 time: 0.2857 data_time: 0.0205 memory: 8198 grad_norm: 4.8756 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0201 loss: 2.0201 2022/08/02 17:53:44 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 1.0000e-02 eta: 1 day, 10:36:45 time: 0.2847 data_time: 0.0247 memory: 8198 grad_norm: 4.7782 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8938 loss: 1.8938 2022/08/02 17:53:49 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 1.0000e-02 eta: 1 day, 10:36:38 time: 0.2813 data_time: 0.0232 memory: 8198 grad_norm: 4.9169 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8541 loss: 1.8541 2022/08/02 17:53:55 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 1.0000e-02 eta: 1 day, 10:36:32 time: 0.2837 data_time: 0.0243 memory: 8198 grad_norm: 4.9579 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9674 loss: 1.9674 2022/08/02 17:54:00 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 1.0000e-02 eta: 1 day, 10:36:26 time: 0.2824 data_time: 0.0259 memory: 8198 grad_norm: 4.9983 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3134 loss: 2.3134 2022/08/02 17:54:08 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 1.0000e-02 eta: 1 day, 10:36:40 time: 0.3911 data_time: 0.1077 memory: 8198 grad_norm: 4.8935 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8311 loss: 1.8311 2022/08/02 17:54:14 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 1.0000e-02 eta: 1 day, 10:36:33 time: 0.2769 data_time: 0.0198 memory: 8198 grad_norm: 4.9490 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9462 loss: 1.9462 2022/08/02 17:54:19 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 1.0000e-02 eta: 1 day, 10:36:26 time: 0.2812 data_time: 0.0274 memory: 8198 grad_norm: 4.7809 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9086 loss: 1.9086 2022/08/02 17:54:25 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 1.0000e-02 eta: 1 day, 10:36:21 time: 0.2878 data_time: 0.0258 memory: 8198 grad_norm: 4.9309 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9328 loss: 1.9328 2022/08/02 17:54:31 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 1.0000e-02 eta: 1 day, 10:36:14 time: 0.2800 data_time: 0.0241 memory: 8198 grad_norm: 4.8469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8543 loss: 1.8543 2022/08/02 17:54:36 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 1.0000e-02 eta: 1 day, 10:36:07 time: 0.2799 data_time: 0.0241 memory: 8198 grad_norm: 4.7782 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8587 loss: 1.8587 2022/08/02 17:54:42 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 1.0000e-02 eta: 1 day, 10:36:00 time: 0.2823 data_time: 0.0269 memory: 8198 grad_norm: 5.0470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0404 loss: 2.0404 2022/08/02 17:54:48 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 1.0000e-02 eta: 1 day, 10:35:56 time: 0.2924 data_time: 0.0250 memory: 8198 grad_norm: 4.8895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8850 loss: 1.8850 2022/08/02 17:54:54 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 1.0000e-02 eta: 1 day, 10:35:51 time: 0.2872 data_time: 0.0250 memory: 8198 grad_norm: 5.0315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/08/02 17:54:59 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 1.0000e-02 eta: 1 day, 10:35:45 time: 0.2870 data_time: 0.0242 memory: 8198 grad_norm: 4.9223 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7845 loss: 1.7845 2022/08/02 17:55:05 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 1.0000e-02 eta: 1 day, 10:35:39 time: 0.2868 data_time: 0.0239 memory: 8198 grad_norm: 4.8948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8201 loss: 1.8201 2022/08/02 17:55:11 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 1.0000e-02 eta: 1 day, 10:35:34 time: 0.2879 data_time: 0.0219 memory: 8198 grad_norm: 4.9618 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8819 loss: 1.8819 2022/08/02 17:55:17 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 1.0000e-02 eta: 1 day, 10:35:27 time: 0.2790 data_time: 0.0211 memory: 8198 grad_norm: 4.8668 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1160 loss: 2.1160 2022/08/02 17:55:23 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 1.0000e-02 eta: 1 day, 10:35:24 time: 0.3020 data_time: 0.0468 memory: 8198 grad_norm: 4.9248 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8022 loss: 1.8022 2022/08/02 17:55:28 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 1.0000e-02 eta: 1 day, 10:35:18 time: 0.2823 data_time: 0.0213 memory: 8198 grad_norm: 4.9825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9484 loss: 1.9484 2022/08/02 17:55:34 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 1.0000e-02 eta: 1 day, 10:35:12 time: 0.2832 data_time: 0.0212 memory: 8198 grad_norm: 5.0071 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8675 loss: 1.8675 2022/08/02 17:55:40 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 1.0000e-02 eta: 1 day, 10:35:07 time: 0.2887 data_time: 0.0314 memory: 8198 grad_norm: 4.9346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7615 loss: 1.7615 2022/08/02 17:55:45 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 1.0000e-02 eta: 1 day, 10:35:00 time: 0.2830 data_time: 0.0207 memory: 8198 grad_norm: 4.8469 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8744 loss: 1.8744 2022/08/02 17:55:51 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 1.0000e-02 eta: 1 day, 10:34:54 time: 0.2814 data_time: 0.0263 memory: 8198 grad_norm: 5.0288 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9941 loss: 1.9941 2022/08/02 17:55:57 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 1.0000e-02 eta: 1 day, 10:34:48 time: 0.2837 data_time: 0.0197 memory: 8198 grad_norm: 4.9400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0055 loss: 2.0055 2022/08/02 17:56:02 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 1.0000e-02 eta: 1 day, 10:34:41 time: 0.2818 data_time: 0.0283 memory: 8198 grad_norm: 4.8456 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7113 loss: 1.7113 2022/08/02 17:56:08 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 1.0000e-02 eta: 1 day, 10:34:35 time: 0.2842 data_time: 0.0213 memory: 8198 grad_norm: 5.0716 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1939 loss: 2.1939 2022/08/02 17:56:14 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 1.0000e-02 eta: 1 day, 10:34:29 time: 0.2858 data_time: 0.0228 memory: 8198 grad_norm: 4.9744 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0104 loss: 2.0104 2022/08/02 17:56:20 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 1.0000e-02 eta: 1 day, 10:34:29 time: 0.3141 data_time: 0.0215 memory: 8198 grad_norm: 4.8934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8885 loss: 1.8885 2022/08/02 17:56:26 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 1.0000e-02 eta: 1 day, 10:34:25 time: 0.2934 data_time: 0.0258 memory: 8198 grad_norm: 4.8974 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9905 loss: 1.9905 2022/08/02 17:56:32 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 1.0000e-02 eta: 1 day, 10:34:18 time: 0.2833 data_time: 0.0216 memory: 8198 grad_norm: 4.7992 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8242 loss: 1.8242 2022/08/02 17:56:37 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 1.0000e-02 eta: 1 day, 10:34:13 time: 0.2852 data_time: 0.0231 memory: 8198 grad_norm: 4.9544 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9511 loss: 1.9511 2022/08/02 17:56:43 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 1.0000e-02 eta: 1 day, 10:34:06 time: 0.2810 data_time: 0.0247 memory: 8198 grad_norm: 4.8933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6779 loss: 1.6779 2022/08/02 17:56:49 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 1.0000e-02 eta: 1 day, 10:34:00 time: 0.2845 data_time: 0.0271 memory: 8198 grad_norm: 4.8070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8086 loss: 1.8086 2022/08/02 17:56:55 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 1.0000e-02 eta: 1 day, 10:33:56 time: 0.2954 data_time: 0.0213 memory: 8198 grad_norm: 4.9428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9532 loss: 1.9532 2022/08/02 17:57:00 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 1.0000e-02 eta: 1 day, 10:33:49 time: 0.2797 data_time: 0.0241 memory: 8198 grad_norm: 4.9662 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9999 loss: 1.9999 2022/08/02 17:57:06 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 1.0000e-02 eta: 1 day, 10:33:45 time: 0.2939 data_time: 0.0382 memory: 8198 grad_norm: 4.8343 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9069 loss: 1.9069 2022/08/02 17:57:12 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 1.0000e-02 eta: 1 day, 10:33:38 time: 0.2798 data_time: 0.0201 memory: 8198 grad_norm: 4.9716 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9542 loss: 1.9542 2022/08/02 17:57:17 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 1.0000e-02 eta: 1 day, 10:33:32 time: 0.2853 data_time: 0.0221 memory: 8198 grad_norm: 4.8890 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0749 loss: 2.0749 2022/08/02 17:57:23 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 1.0000e-02 eta: 1 day, 10:33:26 time: 0.2827 data_time: 0.0267 memory: 8198 grad_norm: 5.0007 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9871 loss: 1.9871 2022/08/02 17:57:29 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 1.0000e-02 eta: 1 day, 10:33:19 time: 0.2817 data_time: 0.0229 memory: 8198 grad_norm: 4.9164 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9059 loss: 1.9059 2022/08/02 17:57:34 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 1.0000e-02 eta: 1 day, 10:33:14 time: 0.2881 data_time: 0.0240 memory: 8198 grad_norm: 4.9746 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9994 loss: 1.9994 2022/08/02 17:57:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 17:57:40 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 1.0000e-02 eta: 1 day, 10:33:07 time: 0.2788 data_time: 0.0229 memory: 8198 grad_norm: 4.9163 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9579 loss: 1.9579 2022/08/02 17:57:46 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 1.0000e-02 eta: 1 day, 10:33:01 time: 0.2859 data_time: 0.0297 memory: 8198 grad_norm: 4.8349 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8760 loss: 1.8760 2022/08/02 17:57:51 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 1.0000e-02 eta: 1 day, 10:32:54 time: 0.2797 data_time: 0.0218 memory: 8198 grad_norm: 4.8414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7603 loss: 1.7603 2022/08/02 17:57:57 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 1.0000e-02 eta: 1 day, 10:32:49 time: 0.2859 data_time: 0.0305 memory: 8198 grad_norm: 4.8991 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7484 loss: 1.7484 2022/08/02 17:58:03 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 1.0000e-02 eta: 1 day, 10:32:42 time: 0.2810 data_time: 0.0279 memory: 8198 grad_norm: 4.8104 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8905 loss: 1.8905 2022/08/02 17:58:08 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 1.0000e-02 eta: 1 day, 10:32:36 time: 0.2855 data_time: 0.0237 memory: 8198 grad_norm: 4.9466 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8092 loss: 1.8092 2022/08/02 17:58:14 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 1.0000e-02 eta: 1 day, 10:32:30 time: 0.2858 data_time: 0.0267 memory: 8198 grad_norm: 4.8616 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1177 loss: 2.1177 2022/08/02 17:58:20 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 1.0000e-02 eta: 1 day, 10:32:24 time: 0.2831 data_time: 0.0282 memory: 8198 grad_norm: 4.8441 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0953 loss: 2.0953 2022/08/02 17:58:25 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 1.0000e-02 eta: 1 day, 10:32:18 time: 0.2855 data_time: 0.0249 memory: 8198 grad_norm: 4.6889 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9577 loss: 1.9577 2022/08/02 17:58:31 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 1.0000e-02 eta: 1 day, 10:32:11 time: 0.2773 data_time: 0.0240 memory: 8198 grad_norm: 4.9429 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8779 loss: 1.8779 2022/08/02 17:58:37 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 1.0000e-02 eta: 1 day, 10:32:04 time: 0.2816 data_time: 0.0256 memory: 8198 grad_norm: 4.8371 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9086 loss: 1.9086 2022/08/02 17:58:42 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 1.0000e-02 eta: 1 day, 10:31:58 time: 0.2840 data_time: 0.0237 memory: 8198 grad_norm: 4.8842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9544 loss: 1.9544 2022/08/02 17:58:48 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 1.0000e-02 eta: 1 day, 10:31:51 time: 0.2795 data_time: 0.0237 memory: 8198 grad_norm: 4.9190 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9407 loss: 1.9407 2022/08/02 17:58:54 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 1.0000e-02 eta: 1 day, 10:31:46 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 4.9443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8367 loss: 1.8367 2022/08/02 17:58:59 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 1.0000e-02 eta: 1 day, 10:31:39 time: 0.2805 data_time: 0.0206 memory: 8198 grad_norm: 4.8491 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9668 loss: 1.9668 2022/08/02 17:59:05 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 1.0000e-02 eta: 1 day, 10:31:33 time: 0.2831 data_time: 0.0248 memory: 8198 grad_norm: 4.8971 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0267 loss: 2.0267 2022/08/02 17:59:11 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 1.0000e-02 eta: 1 day, 10:31:27 time: 0.2839 data_time: 0.0217 memory: 8198 grad_norm: 4.9157 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8641 loss: 1.8641 2022/08/02 17:59:16 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 1.0000e-02 eta: 1 day, 10:31:21 time: 0.2862 data_time: 0.0217 memory: 8198 grad_norm: 4.9613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9472 loss: 1.9472 2022/08/02 17:59:22 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 1.0000e-02 eta: 1 day, 10:31:15 time: 0.2825 data_time: 0.0265 memory: 8198 grad_norm: 4.8442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7653 loss: 1.7653 2022/08/02 17:59:28 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 1.0000e-02 eta: 1 day, 10:31:10 time: 0.2896 data_time: 0.0299 memory: 8198 grad_norm: 4.9488 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1484 loss: 2.1484 2022/08/02 17:59:33 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 1.0000e-02 eta: 1 day, 10:31:03 time: 0.2810 data_time: 0.0239 memory: 8198 grad_norm: 4.8500 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9848 loss: 1.9848 2022/08/02 17:59:39 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 1.0000e-02 eta: 1 day, 10:30:56 time: 0.2813 data_time: 0.0222 memory: 8198 grad_norm: 4.8406 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9181 loss: 1.9181 2022/08/02 17:59:45 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 1.0000e-02 eta: 1 day, 10:30:51 time: 0.2863 data_time: 0.0217 memory: 8198 grad_norm: 4.9230 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0546 loss: 2.0546 2022/08/02 17:59:50 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 1.0000e-02 eta: 1 day, 10:30:44 time: 0.2811 data_time: 0.0243 memory: 8198 grad_norm: 4.8028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7995 loss: 1.7995 2022/08/02 17:59:56 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 1.0000e-02 eta: 1 day, 10:30:38 time: 0.2841 data_time: 0.0213 memory: 8198 grad_norm: 4.9254 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8210 loss: 1.8210 2022/08/02 18:00:02 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 1.0000e-02 eta: 1 day, 10:30:31 time: 0.2797 data_time: 0.0230 memory: 8198 grad_norm: 4.8512 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9204 loss: 1.9204 2022/08/02 18:00:10 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 1.0000e-02 eta: 1 day, 10:30:47 time: 0.3994 data_time: 0.0957 memory: 8198 grad_norm: 4.9044 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0880 loss: 2.0880 2022/08/02 18:00:15 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 1.0000e-02 eta: 1 day, 10:30:40 time: 0.2825 data_time: 0.0219 memory: 8198 grad_norm: 4.8903 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9206 loss: 1.9206 2022/08/02 18:00:21 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 1.0000e-02 eta: 1 day, 10:30:33 time: 0.2789 data_time: 0.0228 memory: 8198 grad_norm: 4.9106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0767 loss: 2.0767 2022/08/02 18:00:27 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 1.0000e-02 eta: 1 day, 10:30:27 time: 0.2824 data_time: 0.0266 memory: 8198 grad_norm: 4.8346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7331 loss: 1.7331 2022/08/02 18:00:32 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 1.0000e-02 eta: 1 day, 10:30:20 time: 0.2807 data_time: 0.0225 memory: 8198 grad_norm: 4.8557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0073 loss: 2.0073 2022/08/02 18:00:38 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 1.0000e-02 eta: 1 day, 10:30:14 time: 0.2812 data_time: 0.0260 memory: 8198 grad_norm: 4.9136 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9526 loss: 1.9526 2022/08/02 18:00:44 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 1.0000e-02 eta: 1 day, 10:30:08 time: 0.2868 data_time: 0.0290 memory: 8198 grad_norm: 4.8421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7702 loss: 1.7702 2022/08/02 18:00:49 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 1.0000e-02 eta: 1 day, 10:30:01 time: 0.2778 data_time: 0.0212 memory: 8198 grad_norm: 5.0702 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0322 loss: 2.0322 2022/08/02 18:00:55 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 1.0000e-02 eta: 1 day, 10:29:54 time: 0.2817 data_time: 0.0203 memory: 8198 grad_norm: 4.9150 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1835 loss: 2.1835 2022/08/02 18:01:00 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 1.0000e-02 eta: 1 day, 10:29:48 time: 0.2808 data_time: 0.0256 memory: 8198 grad_norm: 4.8652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0366 loss: 2.0366 2022/08/02 18:01:06 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 1.0000e-02 eta: 1 day, 10:29:41 time: 0.2802 data_time: 0.0205 memory: 8198 grad_norm: 4.9306 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9420 loss: 1.9420 2022/08/02 18:01:12 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 1.0000e-02 eta: 1 day, 10:29:35 time: 0.2827 data_time: 0.0214 memory: 8198 grad_norm: 4.9015 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0102 loss: 2.0102 2022/08/02 18:01:17 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 1.0000e-02 eta: 1 day, 10:29:29 time: 0.2851 data_time: 0.0217 memory: 8198 grad_norm: 5.0508 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0436 loss: 2.0436 2022/08/02 18:01:23 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 1.0000e-02 eta: 1 day, 10:29:22 time: 0.2822 data_time: 0.0280 memory: 8198 grad_norm: 4.9789 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8579 loss: 1.8579 2022/08/02 18:01:29 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 1.0000e-02 eta: 1 day, 10:29:15 time: 0.2773 data_time: 0.0215 memory: 8198 grad_norm: 4.8179 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0276 loss: 2.0276 2022/08/02 18:01:34 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 1.0000e-02 eta: 1 day, 10:29:09 time: 0.2826 data_time: 0.0266 memory: 8198 grad_norm: 4.9507 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8781 loss: 1.8781 2022/08/02 18:01:40 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 1.0000e-02 eta: 1 day, 10:29:03 time: 0.2848 data_time: 0.0239 memory: 8198 grad_norm: 4.9419 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0351 loss: 2.0351 2022/08/02 18:01:46 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 1.0000e-02 eta: 1 day, 10:28:56 time: 0.2805 data_time: 0.0232 memory: 8198 grad_norm: 4.8854 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9567 loss: 1.9567 2022/08/02 18:01:51 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 1.0000e-02 eta: 1 day, 10:28:49 time: 0.2805 data_time: 0.0217 memory: 8198 grad_norm: 4.8504 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7442 loss: 1.7442 2022/08/02 18:01:57 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 1.0000e-02 eta: 1 day, 10:28:44 time: 0.2865 data_time: 0.0266 memory: 8198 grad_norm: 4.8887 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7703 loss: 1.7703 2022/08/02 18:02:02 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 1.0000e-02 eta: 1 day, 10:28:37 time: 0.2794 data_time: 0.0195 memory: 8198 grad_norm: 4.9910 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7760 loss: 1.7760 2022/08/02 18:02:08 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 1.0000e-02 eta: 1 day, 10:28:32 time: 0.2911 data_time: 0.0241 memory: 8198 grad_norm: 4.8831 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0533 loss: 2.0533 2022/08/02 18:02:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:02:13 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 1.0000e-02 eta: 1 day, 10:28:32 time: 0.2541 data_time: 0.0146 memory: 8198 grad_norm: 5.0805 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.0329 loss: 2.0329 2022/08/02 18:02:20 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:00:44 time: 0.3315 data_time: 0.2428 memory: 1514 2022/08/02 18:02:24 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:24 time: 0.2151 data_time: 0.1253 memory: 1514 2022/08/02 18:02:30 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:00:28 time: 0.3010 data_time: 0.2141 memory: 1514 2022/08/02 18:02:35 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:17 time: 0.2369 data_time: 0.1491 memory: 1514 2022/08/02 18:02:41 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:16 time: 0.3081 data_time: 0.2199 memory: 1514 2022/08/02 18:02:45 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:07 time: 0.2230 data_time: 0.1257 memory: 1514 2022/08/02 18:02:51 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:04 time: 0.2999 data_time: 0.2132 memory: 1514 2022/08/02 18:02:57 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6102 acc/top5: 0.8320 acc/mean1: 0.6101 2022/08/02 18:02:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/02 18:02:58 - mmengine - INFO - The best checkpoint with 0.6102 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/02 18:03:07 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 1.0000e-02 eta: 1 day, 10:27:54 time: 0.4135 data_time: 0.1543 memory: 8198 grad_norm: 4.8055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8827 loss: 1.8827 2022/08/02 18:03:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:03:12 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 1.0000e-02 eta: 1 day, 10:27:48 time: 0.2830 data_time: 0.0261 memory: 8198 grad_norm: 4.8909 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7351 loss: 1.7351 2022/08/02 18:03:18 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 1.0000e-02 eta: 1 day, 10:27:41 time: 0.2815 data_time: 0.0175 memory: 8198 grad_norm: 4.9932 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8206 loss: 1.8206 2022/08/02 18:03:24 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 1.0000e-02 eta: 1 day, 10:27:35 time: 0.2837 data_time: 0.0230 memory: 8198 grad_norm: 4.8451 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8539 loss: 1.8539 2022/08/02 18:03:29 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 1.0000e-02 eta: 1 day, 10:27:28 time: 0.2783 data_time: 0.0230 memory: 8198 grad_norm: 5.0751 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2099 loss: 2.2099 2022/08/02 18:03:35 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 1.0000e-02 eta: 1 day, 10:27:22 time: 0.2838 data_time: 0.0243 memory: 8198 grad_norm: 4.8549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8882 loss: 1.8882 2022/08/02 18:03:40 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 1.0000e-02 eta: 1 day, 10:27:15 time: 0.2775 data_time: 0.0245 memory: 8198 grad_norm: 4.9371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7996 loss: 1.7996 2022/08/02 18:03:46 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 1.0000e-02 eta: 1 day, 10:27:08 time: 0.2789 data_time: 0.0256 memory: 8198 grad_norm: 4.8669 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7909 loss: 1.7909 2022/08/02 18:03:52 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 1.0000e-02 eta: 1 day, 10:27:04 time: 0.2969 data_time: 0.0240 memory: 8198 grad_norm: 4.9714 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9997 loss: 1.9997 2022/08/02 18:03:58 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 1.0000e-02 eta: 1 day, 10:26:59 time: 0.2894 data_time: 0.0211 memory: 8198 grad_norm: 5.0756 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9835 loss: 1.9835 2022/08/02 18:04:03 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 1.0000e-02 eta: 1 day, 10:26:53 time: 0.2836 data_time: 0.0253 memory: 8198 grad_norm: 4.8596 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9258 loss: 1.9258 2022/08/02 18:04:09 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 1.0000e-02 eta: 1 day, 10:26:48 time: 0.2920 data_time: 0.0224 memory: 8198 grad_norm: 4.9411 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0117 loss: 2.0117 2022/08/02 18:04:15 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 1.0000e-02 eta: 1 day, 10:26:42 time: 0.2809 data_time: 0.0212 memory: 8198 grad_norm: 4.8943 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9299 loss: 1.9299 2022/08/02 18:04:20 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 1.0000e-02 eta: 1 day, 10:26:35 time: 0.2802 data_time: 0.0224 memory: 8198 grad_norm: 4.9054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1232 loss: 2.1232 2022/08/02 18:04:26 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 1.0000e-02 eta: 1 day, 10:26:29 time: 0.2816 data_time: 0.0251 memory: 8198 grad_norm: 4.9311 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7907 loss: 1.7907 2022/08/02 18:04:32 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 1.0000e-02 eta: 1 day, 10:26:22 time: 0.2829 data_time: 0.0210 memory: 8198 grad_norm: 4.8229 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8193 loss: 1.8193 2022/08/02 18:04:37 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 1.0000e-02 eta: 1 day, 10:26:17 time: 0.2858 data_time: 0.0272 memory: 8198 grad_norm: 4.8993 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7262 loss: 1.7262 2022/08/02 18:04:43 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 1.0000e-02 eta: 1 day, 10:26:10 time: 0.2793 data_time: 0.0217 memory: 8198 grad_norm: 4.9176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0811 loss: 2.0811 2022/08/02 18:04:49 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 1.0000e-02 eta: 1 day, 10:26:04 time: 0.2857 data_time: 0.0286 memory: 8198 grad_norm: 4.9359 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0069 loss: 2.0069 2022/08/02 18:04:54 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 1.0000e-02 eta: 1 day, 10:25:58 time: 0.2829 data_time: 0.0189 memory: 8198 grad_norm: 4.9873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0940 loss: 2.0940 2022/08/02 18:05:00 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 1.0000e-02 eta: 1 day, 10:25:52 time: 0.2893 data_time: 0.0263 memory: 8198 grad_norm: 4.8985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9937 loss: 1.9937 2022/08/02 18:05:06 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 1.0000e-02 eta: 1 day, 10:25:46 time: 0.2841 data_time: 0.0241 memory: 8198 grad_norm: 4.8635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9711 loss: 1.9711 2022/08/02 18:05:12 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 1.0000e-02 eta: 1 day, 10:25:40 time: 0.2803 data_time: 0.0236 memory: 8198 grad_norm: 4.9137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0433 loss: 2.0433 2022/08/02 18:05:17 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 1.0000e-02 eta: 1 day, 10:25:34 time: 0.2846 data_time: 0.0253 memory: 8198 grad_norm: 4.8951 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9388 loss: 1.9388 2022/08/02 18:05:23 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 1.0000e-02 eta: 1 day, 10:25:27 time: 0.2775 data_time: 0.0212 memory: 8198 grad_norm: 4.9723 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9746 loss: 1.9746 2022/08/02 18:05:29 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 1.0000e-02 eta: 1 day, 10:25:21 time: 0.2852 data_time: 0.0244 memory: 8198 grad_norm: 5.0025 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0724 loss: 2.0724 2022/08/02 18:05:34 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 1.0000e-02 eta: 1 day, 10:25:14 time: 0.2830 data_time: 0.0247 memory: 8198 grad_norm: 4.7590 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8683 loss: 1.8683 2022/08/02 18:05:40 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 1.0000e-02 eta: 1 day, 10:25:09 time: 0.2895 data_time: 0.0281 memory: 8198 grad_norm: 4.8813 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9835 loss: 1.9835 2022/08/02 18:05:46 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 1.0000e-02 eta: 1 day, 10:25:03 time: 0.2830 data_time: 0.0272 memory: 8198 grad_norm: 4.8208 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8398 loss: 1.8398 2022/08/02 18:05:51 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 1.0000e-02 eta: 1 day, 10:24:57 time: 0.2837 data_time: 0.0237 memory: 8198 grad_norm: 4.8341 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7162 loss: 1.7162 2022/08/02 18:05:57 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 1.0000e-02 eta: 1 day, 10:24:51 time: 0.2864 data_time: 0.0205 memory: 8198 grad_norm: 4.8707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9042 loss: 1.9042 2022/08/02 18:06:03 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 1.0000e-02 eta: 1 day, 10:24:45 time: 0.2810 data_time: 0.0217 memory: 8198 grad_norm: 4.9083 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0723 loss: 2.0723 2022/08/02 18:06:08 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 1.0000e-02 eta: 1 day, 10:24:38 time: 0.2778 data_time: 0.0219 memory: 8198 grad_norm: 4.8605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9461 loss: 1.9461 2022/08/02 18:06:14 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 1.0000e-02 eta: 1 day, 10:24:32 time: 0.2864 data_time: 0.0282 memory: 8198 grad_norm: 4.7660 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7928 loss: 1.7928 2022/08/02 18:06:20 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 1.0000e-02 eta: 1 day, 10:24:27 time: 0.2896 data_time: 0.0214 memory: 8198 grad_norm: 4.9375 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7549 loss: 1.7549 2022/08/02 18:06:25 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 1.0000e-02 eta: 1 day, 10:24:21 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 4.7724 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6959 loss: 1.6959 2022/08/02 18:06:31 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 1.0000e-02 eta: 1 day, 10:24:14 time: 0.2816 data_time: 0.0243 memory: 8198 grad_norm: 4.8417 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6835 loss: 1.6835 2022/08/02 18:06:37 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 1.0000e-02 eta: 1 day, 10:24:09 time: 0.2894 data_time: 0.0215 memory: 8198 grad_norm: 5.0090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2119 loss: 2.2119 2022/08/02 18:06:42 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 1.0000e-02 eta: 1 day, 10:24:03 time: 0.2825 data_time: 0.0218 memory: 8198 grad_norm: 4.8990 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9041 loss: 1.9041 2022/08/02 18:06:48 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 1.0000e-02 eta: 1 day, 10:23:56 time: 0.2800 data_time: 0.0191 memory: 8198 grad_norm: 4.9374 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9394 loss: 1.9394 2022/08/02 18:06:54 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 1.0000e-02 eta: 1 day, 10:23:50 time: 0.2841 data_time: 0.0251 memory: 8198 grad_norm: 4.9051 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9323 loss: 1.9323 2022/08/02 18:06:59 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 1.0000e-02 eta: 1 day, 10:23:43 time: 0.2818 data_time: 0.0252 memory: 8198 grad_norm: 4.8821 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6283 loss: 1.6283 2022/08/02 18:07:05 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 1.0000e-02 eta: 1 day, 10:23:38 time: 0.2861 data_time: 0.0270 memory: 8198 grad_norm: 4.8117 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7188 loss: 1.7188 2022/08/02 18:07:11 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 1.0000e-02 eta: 1 day, 10:23:31 time: 0.2809 data_time: 0.0217 memory: 8198 grad_norm: 4.8394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0062 loss: 2.0062 2022/08/02 18:07:16 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 1.0000e-02 eta: 1 day, 10:23:25 time: 0.2841 data_time: 0.0235 memory: 8198 grad_norm: 4.9313 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8969 loss: 1.8969 2022/08/02 18:07:22 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 1.0000e-02 eta: 1 day, 10:23:21 time: 0.2925 data_time: 0.0194 memory: 8198 grad_norm: 4.8712 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 1.8830 loss: 1.8830 2022/08/02 18:07:28 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 1.0000e-02 eta: 1 day, 10:23:15 time: 0.2850 data_time: 0.0268 memory: 8198 grad_norm: 4.8658 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9142 loss: 1.9142 2022/08/02 18:07:34 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 1.0000e-02 eta: 1 day, 10:23:09 time: 0.2864 data_time: 0.0203 memory: 8198 grad_norm: 4.8740 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8730 loss: 1.8730 2022/08/02 18:07:39 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 1.0000e-02 eta: 1 day, 10:23:03 time: 0.2843 data_time: 0.0249 memory: 8198 grad_norm: 4.8166 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9403 loss: 1.9403 2022/08/02 18:07:45 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 1.0000e-02 eta: 1 day, 10:22:57 time: 0.2829 data_time: 0.0187 memory: 8198 grad_norm: 4.8453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1377 loss: 2.1377 2022/08/02 18:07:51 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 1.0000e-02 eta: 1 day, 10:22:50 time: 0.2804 data_time: 0.0223 memory: 8198 grad_norm: 4.9260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9593 loss: 1.9593 2022/08/02 18:07:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:07:56 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 1.0000e-02 eta: 1 day, 10:22:45 time: 0.2868 data_time: 0.0210 memory: 8198 grad_norm: 4.9329 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0069 loss: 2.0069 2022/08/02 18:08:02 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 1.0000e-02 eta: 1 day, 10:22:38 time: 0.2814 data_time: 0.0248 memory: 8198 grad_norm: 4.8931 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9437 loss: 1.9437 2022/08/02 18:08:08 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 1.0000e-02 eta: 1 day, 10:22:33 time: 0.2871 data_time: 0.0220 memory: 8198 grad_norm: 4.9510 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1401 loss: 2.1401 2022/08/02 18:08:14 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 1.0000e-02 eta: 1 day, 10:22:27 time: 0.2876 data_time: 0.0243 memory: 8198 grad_norm: 4.9299 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9864 loss: 1.9864 2022/08/02 18:08:19 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 1.0000e-02 eta: 1 day, 10:22:21 time: 0.2820 data_time: 0.0245 memory: 8198 grad_norm: 4.9704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8948 loss: 1.8948 2022/08/02 18:08:25 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 1.0000e-02 eta: 1 day, 10:22:14 time: 0.2802 data_time: 0.0253 memory: 8198 grad_norm: 4.9275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8906 loss: 1.8906 2022/08/02 18:08:30 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 1.0000e-02 eta: 1 day, 10:22:08 time: 0.2812 data_time: 0.0224 memory: 8198 grad_norm: 4.9149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8955 loss: 1.8955 2022/08/02 18:08:36 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 1.0000e-02 eta: 1 day, 10:22:02 time: 0.2866 data_time: 0.0257 memory: 8198 grad_norm: 4.8571 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7954 loss: 1.7954 2022/08/02 18:08:42 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 1.0000e-02 eta: 1 day, 10:21:56 time: 0.2838 data_time: 0.0212 memory: 8198 grad_norm: 5.0127 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0640 loss: 2.0640 2022/08/02 18:08:48 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 1.0000e-02 eta: 1 day, 10:21:51 time: 0.2919 data_time: 0.0245 memory: 8198 grad_norm: 4.8313 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9133 loss: 1.9133 2022/08/02 18:08:54 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 1.0000e-02 eta: 1 day, 10:21:46 time: 0.2885 data_time: 0.0216 memory: 8198 grad_norm: 4.9618 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9834 loss: 1.9834 2022/08/02 18:08:59 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 1.0000e-02 eta: 1 day, 10:21:40 time: 0.2855 data_time: 0.0210 memory: 8198 grad_norm: 4.9795 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9563 loss: 1.9563 2022/08/02 18:09:05 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 1.0000e-02 eta: 1 day, 10:21:34 time: 0.2825 data_time: 0.0239 memory: 8198 grad_norm: 5.0580 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8977 loss: 1.8977 2022/08/02 18:09:11 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 1.0000e-02 eta: 1 day, 10:21:27 time: 0.2811 data_time: 0.0252 memory: 8198 grad_norm: 4.9190 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6202 loss: 1.6202 2022/08/02 18:09:16 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 1.0000e-02 eta: 1 day, 10:21:21 time: 0.2822 data_time: 0.0236 memory: 8198 grad_norm: 4.9793 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9882 loss: 1.9882 2022/08/02 18:09:22 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 1.0000e-02 eta: 1 day, 10:21:14 time: 0.2769 data_time: 0.0204 memory: 8198 grad_norm: 4.8816 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9236 loss: 1.9236 2022/08/02 18:09:27 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 1.0000e-02 eta: 1 day, 10:21:08 time: 0.2880 data_time: 0.0319 memory: 8198 grad_norm: 4.8598 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8943 loss: 1.8943 2022/08/02 18:09:33 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 1.0000e-02 eta: 1 day, 10:21:02 time: 0.2812 data_time: 0.0238 memory: 8198 grad_norm: 4.8909 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8972 loss: 1.8972 2022/08/02 18:09:39 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 1.0000e-02 eta: 1 day, 10:20:56 time: 0.2855 data_time: 0.0262 memory: 8198 grad_norm: 5.0344 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9051 loss: 1.9051 2022/08/02 18:09:44 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 1.0000e-02 eta: 1 day, 10:20:50 time: 0.2832 data_time: 0.0196 memory: 8198 grad_norm: 4.9583 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8768 loss: 1.8768 2022/08/02 18:09:50 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 1.0000e-02 eta: 1 day, 10:20:43 time: 0.2802 data_time: 0.0213 memory: 8198 grad_norm: 4.8360 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8984 loss: 1.8984 2022/08/02 18:09:56 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 1.0000e-02 eta: 1 day, 10:20:38 time: 0.2864 data_time: 0.0226 memory: 8198 grad_norm: 5.0365 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9590 loss: 1.9590 2022/08/02 18:10:02 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 1.0000e-02 eta: 1 day, 10:20:32 time: 0.2844 data_time: 0.0252 memory: 8198 grad_norm: 4.7402 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9588 loss: 1.9588 2022/08/02 18:10:07 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 1.0000e-02 eta: 1 day, 10:20:25 time: 0.2827 data_time: 0.0243 memory: 8198 grad_norm: 4.8541 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9364 loss: 1.9364 2022/08/02 18:10:13 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 1.0000e-02 eta: 1 day, 10:20:18 time: 0.2782 data_time: 0.0199 memory: 8198 grad_norm: 4.8395 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9241 loss: 1.9241 2022/08/02 18:10:18 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 1.0000e-02 eta: 1 day, 10:20:12 time: 0.2822 data_time: 0.0211 memory: 8198 grad_norm: 4.8600 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0031 loss: 2.0031 2022/08/02 18:10:24 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 1.0000e-02 eta: 1 day, 10:20:05 time: 0.2796 data_time: 0.0188 memory: 8198 grad_norm: 4.9344 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8065 loss: 1.8065 2022/08/02 18:10:30 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 1.0000e-02 eta: 1 day, 10:19:59 time: 0.2844 data_time: 0.0268 memory: 8198 grad_norm: 4.9464 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8712 loss: 1.8712 2022/08/02 18:10:35 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 1.0000e-02 eta: 1 day, 10:19:53 time: 0.2818 data_time: 0.0191 memory: 8198 grad_norm: 4.6943 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9060 loss: 1.9060 2022/08/02 18:10:41 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 1.0000e-02 eta: 1 day, 10:19:46 time: 0.2827 data_time: 0.0231 memory: 8198 grad_norm: 4.7013 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8193 loss: 1.8193 2022/08/02 18:10:47 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 1.0000e-02 eta: 1 day, 10:19:41 time: 0.2889 data_time: 0.0264 memory: 8198 grad_norm: 4.9302 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8546 loss: 1.8546 2022/08/02 18:10:52 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 1.0000e-02 eta: 1 day, 10:19:35 time: 0.2808 data_time: 0.0254 memory: 8198 grad_norm: 4.9137 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9483 loss: 1.9483 2022/08/02 18:10:58 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 1.0000e-02 eta: 1 day, 10:19:28 time: 0.2794 data_time: 0.0222 memory: 8198 grad_norm: 4.9795 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8264 loss: 1.8264 2022/08/02 18:11:04 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 1.0000e-02 eta: 1 day, 10:19:22 time: 0.2839 data_time: 0.0236 memory: 8198 grad_norm: 5.0430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7747 loss: 1.7747 2022/08/02 18:11:09 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 1.0000e-02 eta: 1 day, 10:19:15 time: 0.2812 data_time: 0.0208 memory: 8198 grad_norm: 4.9319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9793 loss: 1.9793 2022/08/02 18:11:15 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 1.0000e-02 eta: 1 day, 10:19:09 time: 0.2813 data_time: 0.0226 memory: 8198 grad_norm: 4.7317 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8110 loss: 1.8110 2022/08/02 18:11:21 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 1.0000e-02 eta: 1 day, 10:19:03 time: 0.2831 data_time: 0.0244 memory: 8198 grad_norm: 4.9552 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8709 loss: 1.8709 2022/08/02 18:11:26 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 1.0000e-02 eta: 1 day, 10:18:56 time: 0.2824 data_time: 0.0251 memory: 8198 grad_norm: 4.8885 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8384 loss: 1.8384 2022/08/02 18:11:32 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 1.0000e-02 eta: 1 day, 10:18:50 time: 0.2834 data_time: 0.0275 memory: 8198 grad_norm: 4.9583 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9111 loss: 1.9111 2022/08/02 18:11:38 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 1.0000e-02 eta: 1 day, 10:18:44 time: 0.2814 data_time: 0.0213 memory: 8198 grad_norm: 4.9304 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9214 loss: 1.9214 2022/08/02 18:11:43 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 1.0000e-02 eta: 1 day, 10:18:37 time: 0.2834 data_time: 0.0258 memory: 8198 grad_norm: 5.0407 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1050 loss: 2.1050 2022/08/02 18:11:49 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 1.0000e-02 eta: 1 day, 10:18:31 time: 0.2794 data_time: 0.0214 memory: 8198 grad_norm: 5.0142 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8788 loss: 1.8788 2022/08/02 18:11:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:11:54 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 1.0000e-02 eta: 1 day, 10:18:31 time: 0.2608 data_time: 0.0159 memory: 8198 grad_norm: 4.8633 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8193 loss: 1.8193 2022/08/02 18:12:02 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 1.0000e-02 eta: 1 day, 10:17:51 time: 0.3969 data_time: 0.1077 memory: 8198 grad_norm: 4.8052 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7755 loss: 1.7755 2022/08/02 18:12:08 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 1.0000e-02 eta: 1 day, 10:17:46 time: 0.2915 data_time: 0.0226 memory: 8198 grad_norm: 4.7212 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7904 loss: 1.7904 2022/08/02 18:12:13 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 1.0000e-02 eta: 1 day, 10:17:41 time: 0.2860 data_time: 0.0244 memory: 8198 grad_norm: 4.8441 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7795 loss: 1.7795 2022/08/02 18:12:19 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 1.0000e-02 eta: 1 day, 10:17:38 time: 0.3011 data_time: 0.0250 memory: 8198 grad_norm: 4.9537 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9020 loss: 1.9020 2022/08/02 18:12:25 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 1.0000e-02 eta: 1 day, 10:17:31 time: 0.2808 data_time: 0.0235 memory: 8198 grad_norm: 4.9055 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8581 loss: 1.8581 2022/08/02 18:12:31 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 1.0000e-02 eta: 1 day, 10:17:24 time: 0.2791 data_time: 0.0255 memory: 8198 grad_norm: 4.9657 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7413 loss: 1.7413 2022/08/02 18:12:37 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 1.0000e-02 eta: 1 day, 10:17:21 time: 0.2994 data_time: 0.0231 memory: 8198 grad_norm: 4.8908 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9251 loss: 1.9251 2022/08/02 18:12:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:12:42 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 1.0000e-02 eta: 1 day, 10:17:15 time: 0.2837 data_time: 0.0262 memory: 8198 grad_norm: 4.8407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0197 loss: 2.0197 2022/08/02 18:12:48 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 1.0000e-02 eta: 1 day, 10:17:09 time: 0.2825 data_time: 0.0273 memory: 8198 grad_norm: 4.9463 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8130 loss: 1.8130 2022/08/02 18:12:54 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 1.0000e-02 eta: 1 day, 10:17:02 time: 0.2787 data_time: 0.0231 memory: 8198 grad_norm: 4.9064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7618 loss: 1.7618 2022/08/02 18:12:59 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 1.0000e-02 eta: 1 day, 10:16:57 time: 0.2938 data_time: 0.0255 memory: 8198 grad_norm: 5.0666 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1410 loss: 2.1410 2022/08/02 18:13:05 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 1.0000e-02 eta: 1 day, 10:16:51 time: 0.2794 data_time: 0.0244 memory: 8198 grad_norm: 4.7720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0083 loss: 2.0083 2022/08/02 18:13:11 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 1.0000e-02 eta: 1 day, 10:16:45 time: 0.2862 data_time: 0.0277 memory: 8198 grad_norm: 4.7874 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/08/02 18:13:17 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 1.0000e-02 eta: 1 day, 10:16:40 time: 0.2904 data_time: 0.0287 memory: 8198 grad_norm: 4.7348 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9223 loss: 1.9223 2022/08/02 18:13:22 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 1.0000e-02 eta: 1 day, 10:16:34 time: 0.2849 data_time: 0.0218 memory: 8198 grad_norm: 4.8966 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8864 loss: 1.8864 2022/08/02 18:13:28 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 1.0000e-02 eta: 1 day, 10:16:28 time: 0.2859 data_time: 0.0301 memory: 8198 grad_norm: 4.8742 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9436 loss: 1.9436 2022/08/02 18:13:34 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 1.0000e-02 eta: 1 day, 10:16:22 time: 0.2798 data_time: 0.0234 memory: 8198 grad_norm: 4.7824 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0544 loss: 2.0544 2022/08/02 18:13:39 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 1.0000e-02 eta: 1 day, 10:16:15 time: 0.2792 data_time: 0.0221 memory: 8198 grad_norm: 5.0008 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7234 loss: 1.7234 2022/08/02 18:13:45 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 1.0000e-02 eta: 1 day, 10:16:08 time: 0.2810 data_time: 0.0242 memory: 8198 grad_norm: 4.8870 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0355 loss: 2.0355 2022/08/02 18:13:50 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 1.0000e-02 eta: 1 day, 10:16:02 time: 0.2811 data_time: 0.0236 memory: 8198 grad_norm: 4.9074 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8262 loss: 1.8262 2022/08/02 18:13:56 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 1.0000e-02 eta: 1 day, 10:15:56 time: 0.2871 data_time: 0.0258 memory: 8198 grad_norm: 4.9774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9642 loss: 1.9642 2022/08/02 18:14:02 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 1.0000e-02 eta: 1 day, 10:15:50 time: 0.2838 data_time: 0.0260 memory: 8198 grad_norm: 4.9708 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7151 loss: 1.7151 2022/08/02 18:14:08 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 1.0000e-02 eta: 1 day, 10:15:44 time: 0.2842 data_time: 0.0279 memory: 8198 grad_norm: 4.8425 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9754 loss: 1.9754 2022/08/02 18:14:13 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 1.0000e-02 eta: 1 day, 10:15:40 time: 0.2926 data_time: 0.0161 memory: 8198 grad_norm: 4.9926 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8957 loss: 1.8957 2022/08/02 18:14:19 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 1.0000e-02 eta: 1 day, 10:15:33 time: 0.2807 data_time: 0.0267 memory: 8198 grad_norm: 4.9546 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1137 loss: 2.1137 2022/08/02 18:14:25 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 1.0000e-02 eta: 1 day, 10:15:28 time: 0.2859 data_time: 0.0246 memory: 8198 grad_norm: 4.9097 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8675 loss: 1.8675 2022/08/02 18:14:30 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 1.0000e-02 eta: 1 day, 10:15:21 time: 0.2814 data_time: 0.0192 memory: 8198 grad_norm: 4.7518 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7851 loss: 1.7851 2022/08/02 18:14:36 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 1.0000e-02 eta: 1 day, 10:15:16 time: 0.2888 data_time: 0.0257 memory: 8198 grad_norm: 5.0951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7801 loss: 1.7801 2022/08/02 18:14:42 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 1.0000e-02 eta: 1 day, 10:15:10 time: 0.2829 data_time: 0.0204 memory: 8198 grad_norm: 4.8358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0016 loss: 2.0016 2022/08/02 18:14:48 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 1.0000e-02 eta: 1 day, 10:15:05 time: 0.2905 data_time: 0.0199 memory: 8198 grad_norm: 5.0377 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9444 loss: 1.9444 2022/08/02 18:14:53 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 1.0000e-02 eta: 1 day, 10:14:58 time: 0.2781 data_time: 0.0218 memory: 8198 grad_norm: 4.9279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0270 loss: 2.0270 2022/08/02 18:14:59 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 1.0000e-02 eta: 1 day, 10:14:52 time: 0.2836 data_time: 0.0219 memory: 8198 grad_norm: 5.1547 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0629 loss: 2.0629 2022/08/02 18:15:05 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 1.0000e-02 eta: 1 day, 10:14:46 time: 0.2850 data_time: 0.0237 memory: 8198 grad_norm: 4.9316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8589 loss: 1.8589 2022/08/02 18:15:10 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 1.0000e-02 eta: 1 day, 10:14:40 time: 0.2821 data_time: 0.0253 memory: 8198 grad_norm: 4.9987 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9141 loss: 1.9141 2022/08/02 18:15:16 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 1.0000e-02 eta: 1 day, 10:14:33 time: 0.2818 data_time: 0.0229 memory: 8198 grad_norm: 5.0107 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0289 loss: 2.0289 2022/08/02 18:15:22 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 1.0000e-02 eta: 1 day, 10:14:27 time: 0.2812 data_time: 0.0269 memory: 8198 grad_norm: 4.8027 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9520 loss: 1.9520 2022/08/02 18:15:27 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 1.0000e-02 eta: 1 day, 10:14:20 time: 0.2783 data_time: 0.0206 memory: 8198 grad_norm: 4.9793 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7652 loss: 1.7652 2022/08/02 18:15:33 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 1.0000e-02 eta: 1 day, 10:14:14 time: 0.2885 data_time: 0.0236 memory: 8198 grad_norm: 5.0455 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0130 loss: 2.0130 2022/08/02 18:15:39 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 1.0000e-02 eta: 1 day, 10:14:09 time: 0.2899 data_time: 0.0274 memory: 8198 grad_norm: 4.9591 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8469 loss: 1.8469 2022/08/02 18:15:44 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 1.0000e-02 eta: 1 day, 10:14:03 time: 0.2802 data_time: 0.0263 memory: 8198 grad_norm: 4.9062 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8520 loss: 1.8520 2022/08/02 18:15:50 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 1.0000e-02 eta: 1 day, 10:13:57 time: 0.2878 data_time: 0.0258 memory: 8198 grad_norm: 5.0218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8880 loss: 1.8880 2022/08/02 18:15:56 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 1.0000e-02 eta: 1 day, 10:13:51 time: 0.2824 data_time: 0.0214 memory: 8198 grad_norm: 5.0816 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8338 loss: 1.8338 2022/08/02 18:16:01 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 1.0000e-02 eta: 1 day, 10:13:45 time: 0.2825 data_time: 0.0240 memory: 8198 grad_norm: 4.9103 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5852 loss: 1.5852 2022/08/02 18:16:07 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 1.0000e-02 eta: 1 day, 10:13:39 time: 0.2865 data_time: 0.0222 memory: 8198 grad_norm: 4.9253 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8707 loss: 1.8707 2022/08/02 18:16:13 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 1.0000e-02 eta: 1 day, 10:13:33 time: 0.2826 data_time: 0.0270 memory: 8198 grad_norm: 4.9130 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9352 loss: 1.9352 2022/08/02 18:16:18 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 1.0000e-02 eta: 1 day, 10:13:26 time: 0.2798 data_time: 0.0238 memory: 8198 grad_norm: 5.0477 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0739 loss: 2.0739 2022/08/02 18:16:24 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 1.0000e-02 eta: 1 day, 10:13:20 time: 0.2796 data_time: 0.0237 memory: 8198 grad_norm: 4.9249 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9735 loss: 1.9735 2022/08/02 18:16:30 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 1.0000e-02 eta: 1 day, 10:13:14 time: 0.2848 data_time: 0.0215 memory: 8198 grad_norm: 5.0119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9813 loss: 1.9813 2022/08/02 18:16:35 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 1.0000e-02 eta: 1 day, 10:13:08 time: 0.2837 data_time: 0.0236 memory: 8198 grad_norm: 4.8406 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8726 loss: 1.8726 2022/08/02 18:16:41 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 1.0000e-02 eta: 1 day, 10:13:00 time: 0.2773 data_time: 0.0213 memory: 8198 grad_norm: 4.9122 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8840 loss: 1.8840 2022/08/02 18:16:47 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 1.0000e-02 eta: 1 day, 10:12:56 time: 0.2913 data_time: 0.0232 memory: 8198 grad_norm: 4.9426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8466 loss: 1.8466 2022/08/02 18:16:52 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 1.0000e-02 eta: 1 day, 10:12:49 time: 0.2787 data_time: 0.0211 memory: 8198 grad_norm: 4.9432 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8202 loss: 1.8202 2022/08/02 18:16:58 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 1.0000e-02 eta: 1 day, 10:12:43 time: 0.2831 data_time: 0.0276 memory: 8198 grad_norm: 4.9193 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0030 loss: 2.0030 2022/08/02 18:17:04 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 1.0000e-02 eta: 1 day, 10:12:36 time: 0.2829 data_time: 0.0191 memory: 8198 grad_norm: 4.7723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8621 loss: 1.8621 2022/08/02 18:17:09 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 1.0000e-02 eta: 1 day, 10:12:31 time: 0.2849 data_time: 0.0237 memory: 8198 grad_norm: 4.8952 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8898 loss: 1.8898 2022/08/02 18:17:15 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 1.0000e-02 eta: 1 day, 10:12:24 time: 0.2836 data_time: 0.0229 memory: 8198 grad_norm: 4.7639 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7310 loss: 1.7310 2022/08/02 18:17:21 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 1.0000e-02 eta: 1 day, 10:12:18 time: 0.2840 data_time: 0.0231 memory: 8198 grad_norm: 4.8258 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9367 loss: 1.9367 2022/08/02 18:17:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:17:26 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 1.0000e-02 eta: 1 day, 10:12:12 time: 0.2825 data_time: 0.0237 memory: 8198 grad_norm: 4.9024 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8628 loss: 1.8628 2022/08/02 18:17:32 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 1.0000e-02 eta: 1 day, 10:12:06 time: 0.2800 data_time: 0.0227 memory: 8198 grad_norm: 4.8836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9598 loss: 1.9598 2022/08/02 18:17:38 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 1.0000e-02 eta: 1 day, 10:12:00 time: 0.2852 data_time: 0.0273 memory: 8198 grad_norm: 4.9210 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2008 loss: 2.2008 2022/08/02 18:17:43 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 1.0000e-02 eta: 1 day, 10:11:53 time: 0.2825 data_time: 0.0211 memory: 8198 grad_norm: 4.8656 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9219 loss: 1.9219 2022/08/02 18:17:49 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 1.0000e-02 eta: 1 day, 10:11:49 time: 0.2904 data_time: 0.0211 memory: 8198 grad_norm: 4.9057 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9789 loss: 1.9789 2022/08/02 18:17:55 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 1.0000e-02 eta: 1 day, 10:11:42 time: 0.2827 data_time: 0.0238 memory: 8198 grad_norm: 4.8028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9837 loss: 1.9837 2022/08/02 18:18:00 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 1.0000e-02 eta: 1 day, 10:11:36 time: 0.2799 data_time: 0.0245 memory: 8198 grad_norm: 4.9014 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7537 loss: 1.7537 2022/08/02 18:18:06 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 1.0000e-02 eta: 1 day, 10:11:29 time: 0.2821 data_time: 0.0213 memory: 8198 grad_norm: 4.9420 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0559 loss: 2.0559 2022/08/02 18:18:12 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 1.0000e-02 eta: 1 day, 10:11:26 time: 0.3008 data_time: 0.0476 memory: 8198 grad_norm: 4.9333 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8905 loss: 1.8905 2022/08/02 18:18:18 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 1.0000e-02 eta: 1 day, 10:11:20 time: 0.2805 data_time: 0.0157 memory: 8198 grad_norm: 5.0215 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9871 loss: 1.9871 2022/08/02 18:18:23 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 1.0000e-02 eta: 1 day, 10:11:14 time: 0.2838 data_time: 0.0237 memory: 8198 grad_norm: 4.8097 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6124 loss: 1.6124 2022/08/02 18:18:29 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 1.0000e-02 eta: 1 day, 10:11:08 time: 0.2890 data_time: 0.0176 memory: 8198 grad_norm: 4.9068 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0060 loss: 2.0060 2022/08/02 18:18:35 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 1.0000e-02 eta: 1 day, 10:11:02 time: 0.2811 data_time: 0.0197 memory: 8198 grad_norm: 4.9041 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8460 loss: 1.8460 2022/08/02 18:18:40 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 1.0000e-02 eta: 1 day, 10:10:56 time: 0.2857 data_time: 0.0224 memory: 8198 grad_norm: 4.8605 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9258 loss: 1.9258 2022/08/02 18:18:46 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 1.0000e-02 eta: 1 day, 10:10:49 time: 0.2785 data_time: 0.0206 memory: 8198 grad_norm: 4.8794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0128 loss: 2.0128 2022/08/02 18:18:52 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 1.0000e-02 eta: 1 day, 10:10:43 time: 0.2809 data_time: 0.0233 memory: 8198 grad_norm: 4.9359 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9489 loss: 1.9489 2022/08/02 18:18:57 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 1.0000e-02 eta: 1 day, 10:10:37 time: 0.2876 data_time: 0.0232 memory: 8198 grad_norm: 4.8521 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8879 loss: 1.8879 2022/08/02 18:19:03 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 1.0000e-02 eta: 1 day, 10:10:31 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 4.8513 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6693 loss: 1.6693 2022/08/02 18:19:09 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 1.0000e-02 eta: 1 day, 10:10:25 time: 0.2818 data_time: 0.0246 memory: 8198 grad_norm: 4.9712 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9822 loss: 1.9822 2022/08/02 18:19:14 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 1.0000e-02 eta: 1 day, 10:10:19 time: 0.2872 data_time: 0.0262 memory: 8198 grad_norm: 5.0029 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0584 loss: 2.0584 2022/08/02 18:19:20 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 1.0000e-02 eta: 1 day, 10:10:13 time: 0.2847 data_time: 0.0215 memory: 8198 grad_norm: 4.8402 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8135 loss: 1.8135 2022/08/02 18:19:26 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 1.0000e-02 eta: 1 day, 10:10:07 time: 0.2843 data_time: 0.0199 memory: 8198 grad_norm: 4.8846 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8301 loss: 1.8301 2022/08/02 18:19:32 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 1.0000e-02 eta: 1 day, 10:10:02 time: 0.2852 data_time: 0.0225 memory: 8198 grad_norm: 4.9562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9045 loss: 1.9045 2022/08/02 18:19:38 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 1.0000e-02 eta: 1 day, 10:09:59 time: 0.3014 data_time: 0.0405 memory: 8198 grad_norm: 4.8072 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0567 loss: 2.0567 2022/08/02 18:19:43 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 1.0000e-02 eta: 1 day, 10:09:51 time: 0.2742 data_time: 0.0189 memory: 8198 grad_norm: 4.9826 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1970 loss: 2.1970 2022/08/02 18:19:49 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 1.0000e-02 eta: 1 day, 10:09:45 time: 0.2813 data_time: 0.0262 memory: 8198 grad_norm: 4.9084 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0848 loss: 2.0848 2022/08/02 18:19:54 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 1.0000e-02 eta: 1 day, 10:09:38 time: 0.2791 data_time: 0.0212 memory: 8198 grad_norm: 4.9022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0343 loss: 2.0343 2022/08/02 18:20:00 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 1.0000e-02 eta: 1 day, 10:09:32 time: 0.2836 data_time: 0.0277 memory: 8198 grad_norm: 4.9059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8114 loss: 1.8114 2022/08/02 18:20:06 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 1.0000e-02 eta: 1 day, 10:09:25 time: 0.2807 data_time: 0.0254 memory: 8198 grad_norm: 4.9176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9352 loss: 1.9352 2022/08/02 18:20:11 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 1.0000e-02 eta: 1 day, 10:09:19 time: 0.2854 data_time: 0.0273 memory: 8198 grad_norm: 4.9672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9902 loss: 1.9902 2022/08/02 18:20:17 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 1.0000e-02 eta: 1 day, 10:09:13 time: 0.2848 data_time: 0.0262 memory: 8198 grad_norm: 4.8732 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0807 loss: 2.0807 2022/08/02 18:20:23 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 1.0000e-02 eta: 1 day, 10:09:07 time: 0.2826 data_time: 0.0203 memory: 8198 grad_norm: 4.8422 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8766 loss: 1.8766 2022/08/02 18:20:28 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 1.0000e-02 eta: 1 day, 10:09:00 time: 0.2777 data_time: 0.0181 memory: 8198 grad_norm: 4.7750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9071 loss: 1.9071 2022/08/02 18:20:34 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 1.0000e-02 eta: 1 day, 10:08:54 time: 0.2817 data_time: 0.0214 memory: 8198 grad_norm: 4.9541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8721 loss: 1.8721 2022/08/02 18:20:40 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 1.0000e-02 eta: 1 day, 10:08:49 time: 0.2932 data_time: 0.0236 memory: 8198 grad_norm: 4.8454 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7359 loss: 1.7359 2022/08/02 18:20:45 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 1.0000e-02 eta: 1 day, 10:08:43 time: 0.2807 data_time: 0.0249 memory: 8198 grad_norm: 5.0389 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2170 loss: 2.2170 2022/08/02 18:20:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:20:50 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 1.0000e-02 eta: 1 day, 10:08:43 time: 0.2544 data_time: 0.0141 memory: 8198 grad_norm: 4.9369 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9482 loss: 1.9482 2022/08/02 18:20:58 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 1.0000e-02 eta: 1 day, 10:08:05 time: 0.4004 data_time: 0.1139 memory: 8198 grad_norm: 4.8868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0654 loss: 2.0654 2022/08/02 18:21:04 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 1.0000e-02 eta: 1 day, 10:07:59 time: 0.2816 data_time: 0.0220 memory: 8198 grad_norm: 4.9034 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9515 loss: 1.9515 2022/08/02 18:21:10 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 1.0000e-02 eta: 1 day, 10:07:54 time: 0.2920 data_time: 0.0230 memory: 8198 grad_norm: 4.8451 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5877 loss: 1.5877 2022/08/02 18:21:15 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 1.0000e-02 eta: 1 day, 10:07:48 time: 0.2843 data_time: 0.0203 memory: 8198 grad_norm: 4.9261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8247 loss: 1.8247 2022/08/02 18:21:21 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 1.0000e-02 eta: 1 day, 10:07:42 time: 0.2830 data_time: 0.0226 memory: 8198 grad_norm: 4.8143 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8983 loss: 1.8983 2022/08/02 18:21:27 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 1.0000e-02 eta: 1 day, 10:07:36 time: 0.2862 data_time: 0.0282 memory: 8198 grad_norm: 4.8260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7353 loss: 1.7353 2022/08/02 18:21:33 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 1.0000e-02 eta: 1 day, 10:07:30 time: 0.2841 data_time: 0.0231 memory: 8198 grad_norm: 4.8754 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9248 loss: 1.9248 2022/08/02 18:21:38 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 1.0000e-02 eta: 1 day, 10:07:24 time: 0.2823 data_time: 0.0264 memory: 8198 grad_norm: 4.9136 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8631 loss: 1.8631 2022/08/02 18:21:44 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 1.0000e-02 eta: 1 day, 10:07:18 time: 0.2828 data_time: 0.0273 memory: 8198 grad_norm: 4.9863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7949 loss: 1.7949 2022/08/02 18:21:50 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 1.0000e-02 eta: 1 day, 10:07:12 time: 0.2847 data_time: 0.0251 memory: 8198 grad_norm: 4.9223 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0508 loss: 2.0508 2022/08/02 18:21:55 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 1.0000e-02 eta: 1 day, 10:07:06 time: 0.2830 data_time: 0.0261 memory: 8198 grad_norm: 4.9104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7798 loss: 1.7798 2022/08/02 18:22:01 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 1.0000e-02 eta: 1 day, 10:06:59 time: 0.2808 data_time: 0.0189 memory: 8198 grad_norm: 4.7850 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8945 loss: 1.8945 2022/08/02 18:22:06 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 1.0000e-02 eta: 1 day, 10:06:53 time: 0.2796 data_time: 0.0227 memory: 8198 grad_norm: 4.9223 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9462 loss: 1.9462 2022/08/02 18:22:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:22:13 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 1.0000e-02 eta: 1 day, 10:06:50 time: 0.3044 data_time: 0.0226 memory: 8198 grad_norm: 4.8782 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7875 loss: 1.7875 2022/08/02 18:22:18 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 1.0000e-02 eta: 1 day, 10:06:44 time: 0.2820 data_time: 0.0227 memory: 8198 grad_norm: 4.8989 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6920 loss: 1.6920 2022/08/02 18:22:24 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 1.0000e-02 eta: 1 day, 10:06:38 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 5.0888 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7387 loss: 1.7387 2022/08/02 18:22:30 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 1.0000e-02 eta: 1 day, 10:06:33 time: 0.2917 data_time: 0.0240 memory: 8198 grad_norm: 4.9613 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0611 loss: 2.0611 2022/08/02 18:22:36 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 1.0000e-02 eta: 1 day, 10:06:28 time: 0.2874 data_time: 0.0239 memory: 8198 grad_norm: 4.7590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6632 loss: 1.6632 2022/08/02 18:22:41 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 1.0000e-02 eta: 1 day, 10:06:22 time: 0.2812 data_time: 0.0256 memory: 8198 grad_norm: 4.9068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1595 loss: 2.1595 2022/08/02 18:22:47 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 1.0000e-02 eta: 1 day, 10:06:15 time: 0.2793 data_time: 0.0265 memory: 8198 grad_norm: 4.9056 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0306 loss: 2.0306 2022/08/02 18:22:52 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 1.0000e-02 eta: 1 day, 10:06:08 time: 0.2802 data_time: 0.0249 memory: 8198 grad_norm: 4.8825 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9997 loss: 1.9997 2022/08/02 18:22:58 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 1.0000e-02 eta: 1 day, 10:06:02 time: 0.2846 data_time: 0.0228 memory: 8198 grad_norm: 5.0122 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0752 loss: 2.0752 2022/08/02 18:23:04 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 1.0000e-02 eta: 1 day, 10:05:56 time: 0.2798 data_time: 0.0266 memory: 8198 grad_norm: 4.9730 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8584 loss: 1.8584 2022/08/02 18:23:09 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 1.0000e-02 eta: 1 day, 10:05:49 time: 0.2812 data_time: 0.0259 memory: 8198 grad_norm: 4.8600 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9130 loss: 1.9130 2022/08/02 18:23:15 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 1.0000e-02 eta: 1 day, 10:05:43 time: 0.2836 data_time: 0.0232 memory: 8198 grad_norm: 4.9773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6447 loss: 1.6447 2022/08/02 18:23:21 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 1.0000e-02 eta: 1 day, 10:05:40 time: 0.3038 data_time: 0.0215 memory: 8198 grad_norm: 4.9359 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7561 loss: 1.7561 2022/08/02 18:23:27 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 1.0000e-02 eta: 1 day, 10:05:36 time: 0.2914 data_time: 0.0368 memory: 8198 grad_norm: 5.0339 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9791 loss: 1.9791 2022/08/02 18:23:32 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 1.0000e-02 eta: 1 day, 10:05:29 time: 0.2788 data_time: 0.0251 memory: 8198 grad_norm: 4.9748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9856 loss: 1.9856 2022/08/02 18:23:38 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 1.0000e-02 eta: 1 day, 10:05:22 time: 0.2805 data_time: 0.0225 memory: 8198 grad_norm: 4.9152 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7279 loss: 1.7279 2022/08/02 18:23:44 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 1.0000e-02 eta: 1 day, 10:05:16 time: 0.2804 data_time: 0.0265 memory: 8198 grad_norm: 4.9217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8398 loss: 1.8398 2022/08/02 18:23:49 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 1.0000e-02 eta: 1 day, 10:05:10 time: 0.2844 data_time: 0.0219 memory: 8198 grad_norm: 4.8614 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9515 loss: 1.9515 2022/08/02 18:23:55 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 1.0000e-02 eta: 1 day, 10:05:04 time: 0.2826 data_time: 0.0219 memory: 8198 grad_norm: 4.7548 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9533 loss: 1.9533 2022/08/02 18:24:01 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 1.0000e-02 eta: 1 day, 10:05:00 time: 0.2986 data_time: 0.0409 memory: 8198 grad_norm: 4.9545 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8975 loss: 1.8975 2022/08/02 18:24:07 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 1.0000e-02 eta: 1 day, 10:04:53 time: 0.2772 data_time: 0.0234 memory: 8198 grad_norm: 4.8517 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1477 loss: 2.1477 2022/08/02 18:24:12 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 1.0000e-02 eta: 1 day, 10:04:46 time: 0.2807 data_time: 0.0269 memory: 8198 grad_norm: 4.8294 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8284 loss: 1.8284 2022/08/02 18:24:18 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 1.0000e-02 eta: 1 day, 10:04:41 time: 0.2853 data_time: 0.0301 memory: 8198 grad_norm: 4.8771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6302 loss: 1.6302 2022/08/02 18:24:24 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 1.0000e-02 eta: 1 day, 10:04:35 time: 0.2838 data_time: 0.0262 memory: 8198 grad_norm: 5.0031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8974 loss: 1.8974 2022/08/02 18:24:29 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 1.0000e-02 eta: 1 day, 10:04:29 time: 0.2835 data_time: 0.0228 memory: 8198 grad_norm: 4.9412 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9417 loss: 1.9417 2022/08/02 18:24:35 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 1.0000e-02 eta: 1 day, 10:04:22 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 4.7944 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9784 loss: 1.9784 2022/08/02 18:24:41 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 1.0000e-02 eta: 1 day, 10:04:17 time: 0.2866 data_time: 0.0220 memory: 8198 grad_norm: 4.9512 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8430 loss: 1.8430 2022/08/02 18:24:46 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 1.0000e-02 eta: 1 day, 10:04:11 time: 0.2835 data_time: 0.0291 memory: 8198 grad_norm: 4.9757 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0583 loss: 2.0583 2022/08/02 18:24:52 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 1.0000e-02 eta: 1 day, 10:04:05 time: 0.2837 data_time: 0.0213 memory: 8198 grad_norm: 4.9167 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7885 loss: 1.7885 2022/08/02 18:24:58 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 1.0000e-02 eta: 1 day, 10:04:00 time: 0.2900 data_time: 0.0221 memory: 8198 grad_norm: 4.8526 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8193 loss: 1.8193 2022/08/02 18:25:03 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 1.0000e-02 eta: 1 day, 10:03:53 time: 0.2804 data_time: 0.0255 memory: 8198 grad_norm: 4.7527 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9140 loss: 1.9140 2022/08/02 18:25:09 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 1.0000e-02 eta: 1 day, 10:03:48 time: 0.2886 data_time: 0.0233 memory: 8198 grad_norm: 4.8348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0137 loss: 2.0137 2022/08/02 18:25:15 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 1.0000e-02 eta: 1 day, 10:03:42 time: 0.2835 data_time: 0.0262 memory: 8198 grad_norm: 4.9951 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0096 loss: 2.0096 2022/08/02 18:25:21 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 1.0000e-02 eta: 1 day, 10:03:36 time: 0.2846 data_time: 0.0226 memory: 8198 grad_norm: 5.0128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9401 loss: 1.9401 2022/08/02 18:25:26 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 1.0000e-02 eta: 1 day, 10:03:30 time: 0.2823 data_time: 0.0207 memory: 8198 grad_norm: 4.9262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1106 loss: 2.1106 2022/08/02 18:25:32 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 1.0000e-02 eta: 1 day, 10:03:23 time: 0.2831 data_time: 0.0244 memory: 8198 grad_norm: 4.9492 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7807 loss: 1.7807 2022/08/02 18:25:38 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 1.0000e-02 eta: 1 day, 10:03:19 time: 0.2954 data_time: 0.0212 memory: 8198 grad_norm: 4.9993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7571 loss: 1.7571 2022/08/02 18:25:43 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 1.0000e-02 eta: 1 day, 10:03:13 time: 0.2826 data_time: 0.0280 memory: 8198 grad_norm: 4.8752 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0758 loss: 2.0758 2022/08/02 18:25:49 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 1.0000e-02 eta: 1 day, 10:03:07 time: 0.2799 data_time: 0.0247 memory: 8198 grad_norm: 4.8763 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0417 loss: 2.0417 2022/08/02 18:25:55 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 1.0000e-02 eta: 1 day, 10:03:01 time: 0.2852 data_time: 0.0254 memory: 8198 grad_norm: 4.8601 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7736 loss: 1.7736 2022/08/02 18:26:00 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 1.0000e-02 eta: 1 day, 10:02:55 time: 0.2836 data_time: 0.0239 memory: 8198 grad_norm: 4.9295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9372 loss: 1.9372 2022/08/02 18:26:06 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 1.0000e-02 eta: 1 day, 10:02:49 time: 0.2855 data_time: 0.0252 memory: 8198 grad_norm: 4.9234 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6994 loss: 1.6994 2022/08/02 18:26:12 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 1.0000e-02 eta: 1 day, 10:02:43 time: 0.2822 data_time: 0.0248 memory: 8198 grad_norm: 4.8759 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8944 loss: 1.8944 2022/08/02 18:26:17 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 1.0000e-02 eta: 1 day, 10:02:36 time: 0.2821 data_time: 0.0217 memory: 8198 grad_norm: 4.8716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8819 loss: 1.8819 2022/08/02 18:26:23 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 1.0000e-02 eta: 1 day, 10:02:31 time: 0.2861 data_time: 0.0210 memory: 8198 grad_norm: 4.8785 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9809 loss: 1.9809 2022/08/02 18:26:29 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 1.0000e-02 eta: 1 day, 10:02:25 time: 0.2834 data_time: 0.0229 memory: 8198 grad_norm: 4.9118 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7576 loss: 1.7576 2022/08/02 18:26:34 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 1.0000e-02 eta: 1 day, 10:02:18 time: 0.2792 data_time: 0.0214 memory: 8198 grad_norm: 4.8918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0195 loss: 2.0195 2022/08/02 18:26:40 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 1.0000e-02 eta: 1 day, 10:02:13 time: 0.2904 data_time: 0.0236 memory: 8198 grad_norm: 4.8450 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9031 loss: 1.9031 2022/08/02 18:26:46 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 1.0000e-02 eta: 1 day, 10:02:07 time: 0.2831 data_time: 0.0227 memory: 8198 grad_norm: 4.8431 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1232 loss: 2.1232 2022/08/02 18:26:51 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 1.0000e-02 eta: 1 day, 10:02:00 time: 0.2787 data_time: 0.0232 memory: 8198 grad_norm: 4.9939 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6903 loss: 1.6903 2022/08/02 18:26:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:26:58 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 1.0000e-02 eta: 1 day, 10:01:57 time: 0.3033 data_time: 0.0154 memory: 8198 grad_norm: 4.9082 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8646 loss: 1.8646 2022/08/02 18:27:03 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 1.0000e-02 eta: 1 day, 10:01:50 time: 0.2786 data_time: 0.0252 memory: 8198 grad_norm: 4.9274 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0054 loss: 2.0054 2022/08/02 18:27:09 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 1.0000e-02 eta: 1 day, 10:01:44 time: 0.2810 data_time: 0.0180 memory: 8198 grad_norm: 4.7992 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9286 loss: 1.9286 2022/08/02 18:27:15 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 1.0000e-02 eta: 1 day, 10:01:40 time: 0.2940 data_time: 0.0217 memory: 8198 grad_norm: 4.8019 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8387 loss: 1.8387 2022/08/02 18:27:20 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 1.0000e-02 eta: 1 day, 10:01:33 time: 0.2802 data_time: 0.0210 memory: 8198 grad_norm: 4.9660 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8164 loss: 1.8164 2022/08/02 18:27:26 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 1.0000e-02 eta: 1 day, 10:01:27 time: 0.2823 data_time: 0.0276 memory: 8198 grad_norm: 5.1103 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1981 loss: 2.1981 2022/08/02 18:27:32 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 1.0000e-02 eta: 1 day, 10:01:20 time: 0.2805 data_time: 0.0208 memory: 8198 grad_norm: 4.9875 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8904 loss: 1.8904 2022/08/02 18:27:37 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 1.0000e-02 eta: 1 day, 10:01:15 time: 0.2862 data_time: 0.0234 memory: 8198 grad_norm: 5.0064 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9970 loss: 1.9970 2022/08/02 18:27:43 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 1.0000e-02 eta: 1 day, 10:01:08 time: 0.2795 data_time: 0.0204 memory: 8198 grad_norm: 4.8347 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7574 loss: 1.7574 2022/08/02 18:27:48 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 1.0000e-02 eta: 1 day, 10:01:01 time: 0.2796 data_time: 0.0212 memory: 8198 grad_norm: 4.9960 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9185 loss: 1.9185 2022/08/02 18:27:54 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 1.0000e-02 eta: 1 day, 10:00:55 time: 0.2828 data_time: 0.0221 memory: 8198 grad_norm: 4.8430 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8094 loss: 1.8094 2022/08/02 18:28:00 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 1.0000e-02 eta: 1 day, 10:00:49 time: 0.2838 data_time: 0.0287 memory: 8198 grad_norm: 4.8952 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1024 loss: 2.1024 2022/08/02 18:28:05 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 1.0000e-02 eta: 1 day, 10:00:43 time: 0.2821 data_time: 0.0201 memory: 8198 grad_norm: 4.8897 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0259 loss: 2.0259 2022/08/02 18:28:11 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 1.0000e-02 eta: 1 day, 10:00:37 time: 0.2877 data_time: 0.0275 memory: 8198 grad_norm: 4.8757 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9923 loss: 1.9923 2022/08/02 18:28:17 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 1.0000e-02 eta: 1 day, 10:00:31 time: 0.2838 data_time: 0.0214 memory: 8198 grad_norm: 4.8106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/08/02 18:28:23 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 1.0000e-02 eta: 1 day, 10:00:25 time: 0.2838 data_time: 0.0198 memory: 8198 grad_norm: 5.0322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9883 loss: 1.9883 2022/08/02 18:28:28 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 1.0000e-02 eta: 1 day, 10:00:19 time: 0.2817 data_time: 0.0216 memory: 8198 grad_norm: 4.8374 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9710 loss: 1.9710 2022/08/02 18:28:34 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 1.0000e-02 eta: 1 day, 10:00:13 time: 0.2823 data_time: 0.0233 memory: 8198 grad_norm: 5.0044 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8946 loss: 1.8946 2022/08/02 18:28:39 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 1.0000e-02 eta: 1 day, 10:00:06 time: 0.2792 data_time: 0.0222 memory: 8198 grad_norm: 4.8730 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8136 loss: 1.8136 2022/08/02 18:28:45 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 1.0000e-02 eta: 1 day, 10:00:01 time: 0.2876 data_time: 0.0271 memory: 8198 grad_norm: 5.0190 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7189 loss: 1.7189 2022/08/02 18:28:51 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 1.0000e-02 eta: 1 day, 9:59:54 time: 0.2793 data_time: 0.0237 memory: 8198 grad_norm: 4.9242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8317 loss: 1.8317 2022/08/02 18:28:57 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 1.0000e-02 eta: 1 day, 9:59:48 time: 0.2865 data_time: 0.0255 memory: 8198 grad_norm: 4.9338 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8438 loss: 1.8438 2022/08/02 18:29:02 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 1.0000e-02 eta: 1 day, 9:59:42 time: 0.2785 data_time: 0.0235 memory: 8198 grad_norm: 4.8471 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0049 loss: 2.0049 2022/08/02 18:29:08 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 1.0000e-02 eta: 1 day, 9:59:35 time: 0.2802 data_time: 0.0252 memory: 8198 grad_norm: 5.0031 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8551 loss: 1.8551 2022/08/02 18:29:13 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 1.0000e-02 eta: 1 day, 9:59:29 time: 0.2861 data_time: 0.0231 memory: 8198 grad_norm: 4.8888 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0492 loss: 2.0492 2022/08/02 18:29:19 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 1.0000e-02 eta: 1 day, 9:59:24 time: 0.2895 data_time: 0.0252 memory: 8198 grad_norm: 4.9450 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0397 loss: 2.0397 2022/08/02 18:29:25 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 1.0000e-02 eta: 1 day, 9:59:18 time: 0.2803 data_time: 0.0214 memory: 8198 grad_norm: 5.0082 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/08/02 18:29:31 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 1.0000e-02 eta: 1 day, 9:59:11 time: 0.2812 data_time: 0.0212 memory: 8198 grad_norm: 4.9625 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9734 loss: 1.9734 2022/08/02 18:29:36 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 1.0000e-02 eta: 1 day, 9:59:07 time: 0.2938 data_time: 0.0238 memory: 8198 grad_norm: 4.8051 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9245 loss: 1.9245 2022/08/02 18:29:42 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 1.0000e-02 eta: 1 day, 9:59:00 time: 0.2777 data_time: 0.0222 memory: 8198 grad_norm: 5.0427 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9876 loss: 1.9876 2022/08/02 18:29:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:29:47 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 1.0000e-02 eta: 1 day, 9:59:00 time: 0.2586 data_time: 0.0135 memory: 8198 grad_norm: 5.1206 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.0099 loss: 2.0099 2022/08/02 18:29:47 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/02 18:29:56 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 1.0000e-02 eta: 1 day, 9:58:19 time: 0.3749 data_time: 0.1166 memory: 8198 grad_norm: 5.0278 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8271 loss: 1.8271 2022/08/02 18:30:02 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 1.0000e-02 eta: 1 day, 9:58:12 time: 0.2796 data_time: 0.0173 memory: 8198 grad_norm: 4.8543 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8304 loss: 1.8304 2022/08/02 18:30:08 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 1.0000e-02 eta: 1 day, 9:58:07 time: 0.2849 data_time: 0.0235 memory: 8198 grad_norm: 4.7685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7474 loss: 1.7474 2022/08/02 18:30:13 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 1.0000e-02 eta: 1 day, 9:58:00 time: 0.2792 data_time: 0.0173 memory: 8198 grad_norm: 4.8809 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 1.7724 loss: 1.7724 2022/08/02 18:30:19 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 1.0000e-02 eta: 1 day, 9:57:54 time: 0.2850 data_time: 0.0238 memory: 8198 grad_norm: 4.8801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5998 loss: 1.5998 2022/08/02 18:30:24 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 1.0000e-02 eta: 1 day, 9:57:48 time: 0.2801 data_time: 0.0197 memory: 8198 grad_norm: 4.8449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0253 loss: 2.0253 2022/08/02 18:30:30 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 1.0000e-02 eta: 1 day, 9:57:43 time: 0.2933 data_time: 0.0257 memory: 8198 grad_norm: 4.9275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9093 loss: 1.9093 2022/08/02 18:30:36 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 1.0000e-02 eta: 1 day, 9:57:37 time: 0.2823 data_time: 0.0186 memory: 8198 grad_norm: 4.7020 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6974 loss: 1.6974 2022/08/02 18:30:42 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 1.0000e-02 eta: 1 day, 9:57:31 time: 0.2847 data_time: 0.0213 memory: 8198 grad_norm: 4.9522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8258 loss: 1.8258 2022/08/02 18:30:47 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 1.0000e-02 eta: 1 day, 9:57:26 time: 0.2875 data_time: 0.0188 memory: 8198 grad_norm: 4.9351 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8699 loss: 1.8699 2022/08/02 18:30:53 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 1.0000e-02 eta: 1 day, 9:57:19 time: 0.2823 data_time: 0.0221 memory: 8198 grad_norm: 4.8430 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8284 loss: 1.8284 2022/08/02 18:30:59 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 1.0000e-02 eta: 1 day, 9:57:13 time: 0.2794 data_time: 0.0176 memory: 8198 grad_norm: 5.0051 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9998 loss: 1.9998 2022/08/02 18:31:04 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 1.0000e-02 eta: 1 day, 9:57:07 time: 0.2882 data_time: 0.0220 memory: 8198 grad_norm: 4.9285 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8064 loss: 1.8064 2022/08/02 18:31:10 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 1.0000e-02 eta: 1 day, 9:57:01 time: 0.2823 data_time: 0.0179 memory: 8198 grad_norm: 4.8552 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7808 loss: 1.7808 2022/08/02 18:31:16 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 1.0000e-02 eta: 1 day, 9:56:56 time: 0.2862 data_time: 0.0195 memory: 8198 grad_norm: 4.9011 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0041 loss: 2.0041 2022/08/02 18:31:21 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 1.0000e-02 eta: 1 day, 9:56:49 time: 0.2791 data_time: 0.0206 memory: 8198 grad_norm: 4.9959 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7732 loss: 1.7732 2022/08/02 18:31:27 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 1.0000e-02 eta: 1 day, 9:56:42 time: 0.2779 data_time: 0.0226 memory: 8198 grad_norm: 4.9425 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9244 loss: 1.9244 2022/08/02 18:31:33 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 1.0000e-02 eta: 1 day, 9:56:37 time: 0.2884 data_time: 0.0251 memory: 8198 grad_norm: 4.8669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8622 loss: 1.8622 2022/08/02 18:31:38 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 1.0000e-02 eta: 1 day, 9:56:30 time: 0.2821 data_time: 0.0240 memory: 8198 grad_norm: 4.7875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9335 loss: 1.9335 2022/08/02 18:31:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:31:44 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 1.0000e-02 eta: 1 day, 9:56:24 time: 0.2837 data_time: 0.0225 memory: 8198 grad_norm: 5.0103 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7873 loss: 1.7873 2022/08/02 18:31:50 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 1.0000e-02 eta: 1 day, 9:56:19 time: 0.2886 data_time: 0.0241 memory: 8198 grad_norm: 4.9550 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8075 loss: 1.8075 2022/08/02 18:31:56 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 1.0000e-02 eta: 1 day, 9:56:13 time: 0.2807 data_time: 0.0206 memory: 8198 grad_norm: 5.0031 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9558 loss: 1.9558 2022/08/02 18:32:02 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 1.0000e-02 eta: 1 day, 9:56:09 time: 0.3000 data_time: 0.0249 memory: 8198 grad_norm: 5.0185 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/08/02 18:32:07 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 1.0000e-02 eta: 1 day, 9:56:04 time: 0.2850 data_time: 0.0197 memory: 8198 grad_norm: 4.8187 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8728 loss: 1.8728 2022/08/02 18:32:13 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 1.0000e-02 eta: 1 day, 9:55:57 time: 0.2804 data_time: 0.0261 memory: 8198 grad_norm: 4.9636 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8451 loss: 1.8451 2022/08/02 18:32:19 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 1.0000e-02 eta: 1 day, 9:55:51 time: 0.2831 data_time: 0.0198 memory: 8198 grad_norm: 5.0356 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0171 loss: 2.0171 2022/08/02 18:32:24 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 1.0000e-02 eta: 1 day, 9:55:44 time: 0.2797 data_time: 0.0237 memory: 8198 grad_norm: 4.9261 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8687 loss: 1.8687 2022/08/02 18:32:30 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 1.0000e-02 eta: 1 day, 9:55:39 time: 0.2866 data_time: 0.0229 memory: 8198 grad_norm: 5.1026 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8379 loss: 1.8379 2022/08/02 18:32:35 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 1.0000e-02 eta: 1 day, 9:55:32 time: 0.2806 data_time: 0.0250 memory: 8198 grad_norm: 4.9169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8084 loss: 1.8084 2022/08/02 18:32:41 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 1.0000e-02 eta: 1 day, 9:55:26 time: 0.2803 data_time: 0.0187 memory: 8198 grad_norm: 4.8607 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8928 loss: 1.8928 2022/08/02 18:32:47 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 1.0000e-02 eta: 1 day, 9:55:19 time: 0.2814 data_time: 0.0227 memory: 8198 grad_norm: 5.0397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8638 loss: 1.8638 2022/08/02 18:32:52 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 1.0000e-02 eta: 1 day, 9:55:13 time: 0.2834 data_time: 0.0232 memory: 8198 grad_norm: 4.9575 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9470 loss: 1.9470 2022/08/02 18:32:58 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 1.0000e-02 eta: 1 day, 9:55:07 time: 0.2827 data_time: 0.0226 memory: 8198 grad_norm: 4.8780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8617 loss: 1.8617 2022/08/02 18:33:04 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 1.0000e-02 eta: 1 day, 9:55:01 time: 0.2814 data_time: 0.0227 memory: 8198 grad_norm: 4.9593 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1379 loss: 2.1379 2022/08/02 18:33:09 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 1.0000e-02 eta: 1 day, 9:54:55 time: 0.2846 data_time: 0.0267 memory: 8198 grad_norm: 4.9545 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8625 loss: 1.8625 2022/08/02 18:33:15 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 1.0000e-02 eta: 1 day, 9:54:49 time: 0.2852 data_time: 0.0202 memory: 8198 grad_norm: 5.0922 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9520 loss: 1.9520 2022/08/02 18:33:21 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 1.0000e-02 eta: 1 day, 9:54:44 time: 0.2877 data_time: 0.0220 memory: 8198 grad_norm: 4.8295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9045 loss: 1.9045 2022/08/02 18:33:26 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 1.0000e-02 eta: 1 day, 9:54:37 time: 0.2784 data_time: 0.0221 memory: 8198 grad_norm: 4.9481 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9458 loss: 1.9458 2022/08/02 18:33:32 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 1.0000e-02 eta: 1 day, 9:54:31 time: 0.2802 data_time: 0.0241 memory: 8198 grad_norm: 4.8040 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9267 loss: 1.9267 2022/08/02 18:33:38 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 1.0000e-02 eta: 1 day, 9:54:27 time: 0.2960 data_time: 0.0236 memory: 8198 grad_norm: 4.8386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8829 loss: 1.8829 2022/08/02 18:33:44 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 1.0000e-02 eta: 1 day, 9:54:20 time: 0.2818 data_time: 0.0240 memory: 8198 grad_norm: 4.9282 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9847 loss: 1.9847 2022/08/02 18:33:49 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 1.0000e-02 eta: 1 day, 9:54:14 time: 0.2790 data_time: 0.0228 memory: 8198 grad_norm: 4.8530 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8219 loss: 1.8219 2022/08/02 18:33:55 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 1.0000e-02 eta: 1 day, 9:54:07 time: 0.2817 data_time: 0.0218 memory: 8198 grad_norm: 4.8284 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6486 loss: 1.6486 2022/08/02 18:34:00 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 1.0000e-02 eta: 1 day, 9:54:01 time: 0.2814 data_time: 0.0211 memory: 8198 grad_norm: 4.9410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0007 loss: 2.0007 2022/08/02 18:34:06 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 1.0000e-02 eta: 1 day, 9:53:55 time: 0.2822 data_time: 0.0233 memory: 8198 grad_norm: 4.8683 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8732 loss: 1.8732 2022/08/02 18:34:12 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 1.0000e-02 eta: 1 day, 9:53:49 time: 0.2861 data_time: 0.0257 memory: 8198 grad_norm: 4.9753 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9401 loss: 1.9401 2022/08/02 18:34:18 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 1.0000e-02 eta: 1 day, 9:53:43 time: 0.2848 data_time: 0.0237 memory: 8198 grad_norm: 4.8998 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0761 loss: 2.0761 2022/08/02 18:34:23 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 1.0000e-02 eta: 1 day, 9:53:38 time: 0.2866 data_time: 0.0211 memory: 8198 grad_norm: 4.9229 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9729 loss: 1.9729 2022/08/02 18:34:29 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 1.0000e-02 eta: 1 day, 9:53:32 time: 0.2853 data_time: 0.0195 memory: 8198 grad_norm: 4.9316 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7291 loss: 1.7291 2022/08/02 18:34:35 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 1.0000e-02 eta: 1 day, 9:53:26 time: 0.2866 data_time: 0.0231 memory: 8198 grad_norm: 4.9654 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9076 loss: 1.9076 2022/08/02 18:34:40 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 1.0000e-02 eta: 1 day, 9:53:20 time: 0.2841 data_time: 0.0276 memory: 8198 grad_norm: 4.9910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7902 loss: 1.7902 2022/08/02 18:34:46 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 1.0000e-02 eta: 1 day, 9:53:14 time: 0.2819 data_time: 0.0234 memory: 8198 grad_norm: 4.8693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8418 loss: 1.8418 2022/08/02 18:34:52 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 1.0000e-02 eta: 1 day, 9:53:08 time: 0.2847 data_time: 0.0268 memory: 8198 grad_norm: 5.1014 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8033 loss: 1.8033 2022/08/02 18:34:57 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 1.0000e-02 eta: 1 day, 9:53:02 time: 0.2831 data_time: 0.0324 memory: 8198 grad_norm: 5.0265 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8598 loss: 1.8598 2022/08/02 18:35:03 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 1.0000e-02 eta: 1 day, 9:52:57 time: 0.2853 data_time: 0.0245 memory: 8198 grad_norm: 5.0425 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8878 loss: 1.8878 2022/08/02 18:35:09 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 1.0000e-02 eta: 1 day, 9:52:52 time: 0.2906 data_time: 0.0212 memory: 8198 grad_norm: 4.8610 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.9619 loss: 1.9619 2022/08/02 18:35:15 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 1.0000e-02 eta: 1 day, 9:52:45 time: 0.2790 data_time: 0.0214 memory: 8198 grad_norm: 4.9236 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0079 loss: 2.0079 2022/08/02 18:35:20 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 1.0000e-02 eta: 1 day, 9:52:39 time: 0.2852 data_time: 0.0234 memory: 8198 grad_norm: 4.9177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9250 loss: 1.9250 2022/08/02 18:35:26 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 1.0000e-02 eta: 1 day, 9:52:33 time: 0.2835 data_time: 0.0224 memory: 8198 grad_norm: 4.9355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7942 loss: 1.7942 2022/08/02 18:35:32 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 1.0000e-02 eta: 1 day, 9:52:27 time: 0.2812 data_time: 0.0220 memory: 8198 grad_norm: 4.8913 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9569 loss: 1.9569 2022/08/02 18:35:37 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 1.0000e-02 eta: 1 day, 9:52:21 time: 0.2841 data_time: 0.0258 memory: 8198 grad_norm: 4.9609 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8660 loss: 1.8660 2022/08/02 18:35:43 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 1.0000e-02 eta: 1 day, 9:52:15 time: 0.2828 data_time: 0.0276 memory: 8198 grad_norm: 4.9851 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8569 loss: 1.8569 2022/08/02 18:35:52 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 1.0000e-02 eta: 1 day, 9:52:34 time: 0.4462 data_time: 0.0165 memory: 8198 grad_norm: 4.9013 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8990 loss: 1.8990 2022/08/02 18:35:57 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 1.0000e-02 eta: 1 day, 9:52:28 time: 0.2812 data_time: 0.0221 memory: 8198 grad_norm: 5.0786 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9542 loss: 1.9542 2022/08/02 18:36:03 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 1.0000e-02 eta: 1 day, 9:52:23 time: 0.2913 data_time: 0.0225 memory: 8198 grad_norm: 4.9656 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7902 loss: 1.7902 2022/08/02 18:36:09 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 1.0000e-02 eta: 1 day, 9:52:17 time: 0.2803 data_time: 0.0185 memory: 8198 grad_norm: 4.9761 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8567 loss: 1.8567 2022/08/02 18:36:15 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 1.0000e-02 eta: 1 day, 9:52:11 time: 0.2858 data_time: 0.0224 memory: 8198 grad_norm: 4.9762 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7145 loss: 1.7145 2022/08/02 18:36:20 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 1.0000e-02 eta: 1 day, 9:52:05 time: 0.2808 data_time: 0.0215 memory: 8198 grad_norm: 5.0316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7763 loss: 1.7763 2022/08/02 18:36:26 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 1.0000e-02 eta: 1 day, 9:51:58 time: 0.2812 data_time: 0.0230 memory: 8198 grad_norm: 4.9922 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7914 loss: 1.7914 2022/08/02 18:36:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:36:32 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 1.0000e-02 eta: 1 day, 9:51:52 time: 0.2808 data_time: 0.0239 memory: 8198 grad_norm: 4.9079 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9904 loss: 1.9904 2022/08/02 18:36:37 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 1.0000e-02 eta: 1 day, 9:51:46 time: 0.2851 data_time: 0.0261 memory: 8198 grad_norm: 5.0150 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6916 loss: 1.6916 2022/08/02 18:36:43 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 1.0000e-02 eta: 1 day, 9:51:40 time: 0.2828 data_time: 0.0272 memory: 8198 grad_norm: 4.8769 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9258 loss: 1.9258 2022/08/02 18:36:48 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 1.0000e-02 eta: 1 day, 9:51:33 time: 0.2782 data_time: 0.0235 memory: 8198 grad_norm: 4.8635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6874 loss: 1.6874 2022/08/02 18:36:54 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 1.0000e-02 eta: 1 day, 9:51:26 time: 0.2797 data_time: 0.0209 memory: 8198 grad_norm: 4.8773 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8604 loss: 1.8604 2022/08/02 18:37:00 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 1.0000e-02 eta: 1 day, 9:51:22 time: 0.2910 data_time: 0.0222 memory: 8198 grad_norm: 4.9815 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7943 loss: 1.7943 2022/08/02 18:37:05 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 1.0000e-02 eta: 1 day, 9:51:15 time: 0.2771 data_time: 0.0216 memory: 8198 grad_norm: 5.0288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9837 loss: 1.9837 2022/08/02 18:37:11 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 1.0000e-02 eta: 1 day, 9:51:09 time: 0.2889 data_time: 0.0276 memory: 8198 grad_norm: 4.9902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9021 loss: 1.9021 2022/08/02 18:37:17 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 1.0000e-02 eta: 1 day, 9:51:04 time: 0.2875 data_time: 0.0238 memory: 8198 grad_norm: 4.9275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1002 loss: 2.1002 2022/08/02 18:37:23 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 1.0000e-02 eta: 1 day, 9:50:58 time: 0.2821 data_time: 0.0277 memory: 8198 grad_norm: 4.9303 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0239 loss: 2.0239 2022/08/02 18:37:28 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 1.0000e-02 eta: 1 day, 9:50:52 time: 0.2831 data_time: 0.0306 memory: 8198 grad_norm: 4.9368 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9342 loss: 1.9342 2022/08/02 18:37:34 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 1.0000e-02 eta: 1 day, 9:50:46 time: 0.2868 data_time: 0.0301 memory: 8198 grad_norm: 4.9344 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8352 loss: 1.8352 2022/08/02 18:37:40 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 1.0000e-02 eta: 1 day, 9:50:42 time: 0.2928 data_time: 0.0142 memory: 8198 grad_norm: 4.8219 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8603 loss: 1.8603 2022/08/02 18:37:45 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 1.0000e-02 eta: 1 day, 9:50:35 time: 0.2807 data_time: 0.0229 memory: 8198 grad_norm: 4.7390 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8065 loss: 1.8065 2022/08/02 18:37:51 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 1.0000e-02 eta: 1 day, 9:50:28 time: 0.2780 data_time: 0.0226 memory: 8198 grad_norm: 4.8164 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9404 loss: 1.9404 2022/08/02 18:37:57 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 1.0000e-02 eta: 1 day, 9:50:23 time: 0.2882 data_time: 0.0243 memory: 8198 grad_norm: 4.8784 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9030 loss: 1.9030 2022/08/02 18:38:03 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 1.0000e-02 eta: 1 day, 9:50:19 time: 0.2954 data_time: 0.0188 memory: 8198 grad_norm: 4.9226 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9511 loss: 1.9511 2022/08/02 18:38:09 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 1.0000e-02 eta: 1 day, 9:50:13 time: 0.2831 data_time: 0.0247 memory: 8198 grad_norm: 4.9086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7933 loss: 1.7933 2022/08/02 18:38:14 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 1.0000e-02 eta: 1 day, 9:50:07 time: 0.2844 data_time: 0.0275 memory: 8198 grad_norm: 4.9167 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9848 loss: 1.9848 2022/08/02 18:38:20 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 1.0000e-02 eta: 1 day, 9:50:01 time: 0.2833 data_time: 0.0267 memory: 8198 grad_norm: 4.8558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8435 loss: 1.8435 2022/08/02 18:38:25 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 1.0000e-02 eta: 1 day, 9:49:55 time: 0.2832 data_time: 0.0249 memory: 8198 grad_norm: 5.0752 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0197 loss: 2.0197 2022/08/02 18:38:31 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 1.0000e-02 eta: 1 day, 9:49:49 time: 0.2854 data_time: 0.0200 memory: 8198 grad_norm: 4.8683 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0605 loss: 2.0605 2022/08/02 18:38:37 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 1.0000e-02 eta: 1 day, 9:49:43 time: 0.2821 data_time: 0.0241 memory: 8198 grad_norm: 4.7677 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8925 loss: 1.8925 2022/08/02 18:38:42 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 1.0000e-02 eta: 1 day, 9:49:36 time: 0.2814 data_time: 0.0209 memory: 8198 grad_norm: 4.9571 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6951 loss: 1.6951 2022/08/02 18:38:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:38:47 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 1.0000e-02 eta: 1 day, 9:49:36 time: 0.2551 data_time: 0.0134 memory: 8198 grad_norm: 5.0903 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.9598 loss: 1.9598 2022/08/02 18:38:56 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 1.0000e-02 eta: 1 day, 9:49:07 time: 0.4380 data_time: 0.1506 memory: 8198 grad_norm: 4.8426 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6650 loss: 1.6650 2022/08/02 18:39:02 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 1.0000e-02 eta: 1 day, 9:49:00 time: 0.2816 data_time: 0.0219 memory: 8198 grad_norm: 4.8033 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0194 loss: 2.0194 2022/08/02 18:39:08 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 1.0000e-02 eta: 1 day, 9:48:56 time: 0.2937 data_time: 0.0291 memory: 8198 grad_norm: 4.7294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6155 loss: 1.6155 2022/08/02 18:39:13 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 1.0000e-02 eta: 1 day, 9:48:49 time: 0.2792 data_time: 0.0193 memory: 8198 grad_norm: 4.8378 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8655 loss: 1.8655 2022/08/02 18:39:19 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 1.0000e-02 eta: 1 day, 9:48:43 time: 0.2822 data_time: 0.0236 memory: 8198 grad_norm: 4.9801 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9907 loss: 1.9907 2022/08/02 18:39:25 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 1.0000e-02 eta: 1 day, 9:48:37 time: 0.2827 data_time: 0.0219 memory: 8198 grad_norm: 5.0171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8329 loss: 1.8329 2022/08/02 18:39:30 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 1.0000e-02 eta: 1 day, 9:48:32 time: 0.2887 data_time: 0.0285 memory: 8198 grad_norm: 5.0377 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0207 loss: 2.0207 2022/08/02 18:39:36 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 1.0000e-02 eta: 1 day, 9:48:25 time: 0.2763 data_time: 0.0201 memory: 8198 grad_norm: 4.7701 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0855 loss: 2.0855 2022/08/02 18:39:42 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 1.0000e-02 eta: 1 day, 9:48:19 time: 0.2845 data_time: 0.0223 memory: 8198 grad_norm: 4.7490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8032 loss: 1.8032 2022/08/02 18:39:47 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 1.0000e-02 eta: 1 day, 9:48:13 time: 0.2867 data_time: 0.0187 memory: 8198 grad_norm: 4.8025 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5960 loss: 1.5960 2022/08/02 18:39:53 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 1.0000e-02 eta: 1 day, 9:48:07 time: 0.2805 data_time: 0.0232 memory: 8198 grad_norm: 4.8525 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7168 loss: 1.7168 2022/08/02 18:39:59 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 1.0000e-02 eta: 1 day, 9:48:00 time: 0.2819 data_time: 0.0217 memory: 8198 grad_norm: 5.0430 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8717 loss: 1.8717 2022/08/02 18:40:04 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 1.0000e-02 eta: 1 day, 9:47:54 time: 0.2826 data_time: 0.0239 memory: 8198 grad_norm: 4.8478 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8750 loss: 1.8750 2022/08/02 18:40:10 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 1.0000e-02 eta: 1 day, 9:47:48 time: 0.2821 data_time: 0.0195 memory: 8198 grad_norm: 4.9882 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8464 loss: 1.8464 2022/08/02 18:40:15 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 1.0000e-02 eta: 1 day, 9:47:42 time: 0.2806 data_time: 0.0231 memory: 8198 grad_norm: 4.8145 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7521 loss: 1.7521 2022/08/02 18:40:21 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 1.0000e-02 eta: 1 day, 9:47:37 time: 0.2909 data_time: 0.0218 memory: 8198 grad_norm: 4.8228 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8333 loss: 1.8333 2022/08/02 18:40:27 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 1.0000e-02 eta: 1 day, 9:47:31 time: 0.2875 data_time: 0.0189 memory: 8198 grad_norm: 4.7898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8894 loss: 1.8894 2022/08/02 18:40:33 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 1.0000e-02 eta: 1 day, 9:47:25 time: 0.2828 data_time: 0.0205 memory: 8198 grad_norm: 5.0236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7752 loss: 1.7752 2022/08/02 18:40:39 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 1.0000e-02 eta: 1 day, 9:47:22 time: 0.3002 data_time: 0.0208 memory: 8198 grad_norm: 4.9360 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8621 loss: 1.8621 2022/08/02 18:40:44 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 1.0000e-02 eta: 1 day, 9:47:15 time: 0.2806 data_time: 0.0206 memory: 8198 grad_norm: 4.9168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9425 loss: 1.9425 2022/08/02 18:40:50 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 1.0000e-02 eta: 1 day, 9:47:10 time: 0.2856 data_time: 0.0303 memory: 8198 grad_norm: 4.9265 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8908 loss: 1.8908 2022/08/02 18:40:56 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 1.0000e-02 eta: 1 day, 9:47:03 time: 0.2810 data_time: 0.0221 memory: 8198 grad_norm: 4.9900 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7212 loss: 1.7212 2022/08/02 18:41:01 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 1.0000e-02 eta: 1 day, 9:46:58 time: 0.2871 data_time: 0.0273 memory: 8198 grad_norm: 4.9858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8102 loss: 1.8102 2022/08/02 18:41:07 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 1.0000e-02 eta: 1 day, 9:46:51 time: 0.2801 data_time: 0.0225 memory: 8198 grad_norm: 4.8012 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7852 loss: 1.7852 2022/08/02 18:41:13 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 1.0000e-02 eta: 1 day, 9:46:45 time: 0.2843 data_time: 0.0286 memory: 8198 grad_norm: 4.8535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8582 loss: 1.8582 2022/08/02 18:41:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:41:18 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 1.0000e-02 eta: 1 day, 9:46:39 time: 0.2826 data_time: 0.0224 memory: 8198 grad_norm: 4.9210 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7950 loss: 1.7950 2022/08/02 18:41:24 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 1.0000e-02 eta: 1 day, 9:46:33 time: 0.2832 data_time: 0.0257 memory: 8198 grad_norm: 4.9241 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8169 loss: 1.8169 2022/08/02 18:41:30 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 1.0000e-02 eta: 1 day, 9:46:26 time: 0.2790 data_time: 0.0209 memory: 8198 grad_norm: 4.9690 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8785 loss: 1.8785 2022/08/02 18:41:35 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 1.0000e-02 eta: 1 day, 9:46:21 time: 0.2855 data_time: 0.0228 memory: 8198 grad_norm: 5.0567 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8199 loss: 1.8199 2022/08/02 18:41:41 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 1.0000e-02 eta: 1 day, 9:46:17 time: 0.2953 data_time: 0.0258 memory: 8198 grad_norm: 4.7799 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8164 loss: 1.8164 2022/08/02 18:41:47 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 1.0000e-02 eta: 1 day, 9:46:10 time: 0.2798 data_time: 0.0223 memory: 8198 grad_norm: 4.8937 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8084 loss: 1.8084 2022/08/02 18:41:53 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 1.0000e-02 eta: 1 day, 9:46:04 time: 0.2830 data_time: 0.0234 memory: 8198 grad_norm: 5.0054 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8849 loss: 1.8849 2022/08/02 18:41:58 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 1.0000e-02 eta: 1 day, 9:45:59 time: 0.2931 data_time: 0.0261 memory: 8198 grad_norm: 4.9949 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9451 loss: 1.9451 2022/08/02 18:42:04 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 1.0000e-02 eta: 1 day, 9:45:53 time: 0.2830 data_time: 0.0217 memory: 8198 grad_norm: 4.7937 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0452 loss: 2.0452 2022/08/02 18:42:10 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 1.0000e-02 eta: 1 day, 9:45:48 time: 0.2869 data_time: 0.0268 memory: 8198 grad_norm: 4.8623 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9241 loss: 1.9241 2022/08/02 18:42:15 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 1.0000e-02 eta: 1 day, 9:45:42 time: 0.2823 data_time: 0.0218 memory: 8198 grad_norm: 4.8942 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7753 loss: 1.7753 2022/08/02 18:42:21 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 1.0000e-02 eta: 1 day, 9:45:36 time: 0.2857 data_time: 0.0250 memory: 8198 grad_norm: 5.0212 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9387 loss: 1.9387 2022/08/02 18:42:27 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 1.0000e-02 eta: 1 day, 9:45:30 time: 0.2835 data_time: 0.0243 memory: 8198 grad_norm: 4.9552 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7340 loss: 1.7340 2022/08/02 18:42:33 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 1.0000e-02 eta: 1 day, 9:45:25 time: 0.2871 data_time: 0.0348 memory: 8198 grad_norm: 5.0295 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9215 loss: 1.9215 2022/08/02 18:42:38 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 1.0000e-02 eta: 1 day, 9:45:19 time: 0.2885 data_time: 0.0250 memory: 8198 grad_norm: 4.9883 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8102 loss: 1.8102 2022/08/02 18:42:44 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 1.0000e-02 eta: 1 day, 9:45:12 time: 0.2784 data_time: 0.0185 memory: 8198 grad_norm: 4.9849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7708 loss: 1.7708 2022/08/02 18:42:50 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 1.0000e-02 eta: 1 day, 9:45:06 time: 0.2776 data_time: 0.0220 memory: 8198 grad_norm: 4.9478 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 1.9050 loss: 1.9050 2022/08/02 18:42:55 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 1.0000e-02 eta: 1 day, 9:44:59 time: 0.2815 data_time: 0.0214 memory: 8198 grad_norm: 4.9145 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8181 loss: 1.8181 2022/08/02 18:43:01 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 1.0000e-02 eta: 1 day, 9:44:54 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 4.9154 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8418 loss: 1.8418 2022/08/02 18:43:07 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 1.0000e-02 eta: 1 day, 9:44:47 time: 0.2823 data_time: 0.0261 memory: 8198 grad_norm: 4.8777 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7091 loss: 1.7091 2022/08/02 18:43:12 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 1.0000e-02 eta: 1 day, 9:44:42 time: 0.2867 data_time: 0.0222 memory: 8198 grad_norm: 4.9688 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9764 loss: 1.9764 2022/08/02 18:43:18 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 1.0000e-02 eta: 1 day, 9:44:36 time: 0.2864 data_time: 0.0277 memory: 8198 grad_norm: 4.9296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8973 loss: 1.8973 2022/08/02 18:43:24 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 1.0000e-02 eta: 1 day, 9:44:30 time: 0.2832 data_time: 0.0283 memory: 8198 grad_norm: 4.8653 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9494 loss: 1.9494 2022/08/02 18:43:29 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 1.0000e-02 eta: 1 day, 9:44:24 time: 0.2822 data_time: 0.0200 memory: 8198 grad_norm: 4.9008 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9640 loss: 1.9640 2022/08/02 18:43:35 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 1.0000e-02 eta: 1 day, 9:44:18 time: 0.2856 data_time: 0.0208 memory: 8198 grad_norm: 4.7854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7840 loss: 1.7840 2022/08/02 18:43:41 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 1.0000e-02 eta: 1 day, 9:44:13 time: 0.2851 data_time: 0.0232 memory: 8198 grad_norm: 5.0106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7353 loss: 1.7353 2022/08/02 18:43:46 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 1.0000e-02 eta: 1 day, 9:44:06 time: 0.2828 data_time: 0.0218 memory: 8198 grad_norm: 4.8800 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7038 loss: 1.7038 2022/08/02 18:43:52 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 1.0000e-02 eta: 1 day, 9:44:00 time: 0.2828 data_time: 0.0206 memory: 8198 grad_norm: 4.8565 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9034 loss: 1.9034 2022/08/02 18:43:58 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 1.0000e-02 eta: 1 day, 9:43:55 time: 0.2860 data_time: 0.0242 memory: 8198 grad_norm: 4.9593 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7256 loss: 1.7256 2022/08/02 18:44:03 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 1.0000e-02 eta: 1 day, 9:43:48 time: 0.2814 data_time: 0.0277 memory: 8198 grad_norm: 4.9973 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8243 loss: 1.8243 2022/08/02 18:44:09 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 1.0000e-02 eta: 1 day, 9:43:43 time: 0.2840 data_time: 0.0217 memory: 8198 grad_norm: 4.9299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/08/02 18:44:15 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 1.0000e-02 eta: 1 day, 9:43:36 time: 0.2797 data_time: 0.0212 memory: 8198 grad_norm: 4.9130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8610 loss: 1.8610 2022/08/02 18:44:20 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 1.0000e-02 eta: 1 day, 9:43:30 time: 0.2850 data_time: 0.0235 memory: 8198 grad_norm: 4.9926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9358 loss: 1.9358 2022/08/02 18:44:26 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 1.0000e-02 eta: 1 day, 9:43:24 time: 0.2845 data_time: 0.0262 memory: 8198 grad_norm: 4.8945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8038 loss: 1.8038 2022/08/02 18:44:32 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 1.0000e-02 eta: 1 day, 9:43:19 time: 0.2851 data_time: 0.0267 memory: 8198 grad_norm: 4.7661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7255 loss: 1.7255 2022/08/02 18:44:38 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 1.0000e-02 eta: 1 day, 9:43:13 time: 0.2837 data_time: 0.0213 memory: 8198 grad_norm: 4.8000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9360 loss: 1.9360 2022/08/02 18:44:43 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 1.0000e-02 eta: 1 day, 9:43:06 time: 0.2802 data_time: 0.0221 memory: 8198 grad_norm: 4.8760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8052 loss: 1.8052 2022/08/02 18:44:49 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 1.0000e-02 eta: 1 day, 9:43:00 time: 0.2849 data_time: 0.0253 memory: 8198 grad_norm: 4.8589 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9706 loss: 1.9706 2022/08/02 18:44:54 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 1.0000e-02 eta: 1 day, 9:42:54 time: 0.2802 data_time: 0.0205 memory: 8198 grad_norm: 4.9138 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7808 loss: 1.7808 2022/08/02 18:45:00 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 1.0000e-02 eta: 1 day, 9:42:48 time: 0.2826 data_time: 0.0280 memory: 8198 grad_norm: 4.8901 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8337 loss: 1.8337 2022/08/02 18:45:06 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 1.0000e-02 eta: 1 day, 9:42:42 time: 0.2857 data_time: 0.0242 memory: 8198 grad_norm: 5.0201 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8780 loss: 1.8780 2022/08/02 18:45:12 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 1.0000e-02 eta: 1 day, 9:42:36 time: 0.2855 data_time: 0.0219 memory: 8198 grad_norm: 4.9949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8350 loss: 1.8350 2022/08/02 18:45:17 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 1.0000e-02 eta: 1 day, 9:42:30 time: 0.2818 data_time: 0.0204 memory: 8198 grad_norm: 4.8001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8155 loss: 1.8155 2022/08/02 18:45:23 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 1.0000e-02 eta: 1 day, 9:42:24 time: 0.2833 data_time: 0.0207 memory: 8198 grad_norm: 4.8467 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7456 loss: 1.7456 2022/08/02 18:45:29 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 1.0000e-02 eta: 1 day, 9:42:18 time: 0.2843 data_time: 0.0243 memory: 8198 grad_norm: 4.9150 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8812 loss: 1.8812 2022/08/02 18:45:34 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 1.0000e-02 eta: 1 day, 9:42:12 time: 0.2842 data_time: 0.0251 memory: 8198 grad_norm: 4.8166 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8447 loss: 1.8447 2022/08/02 18:45:40 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 1.0000e-02 eta: 1 day, 9:42:07 time: 0.2892 data_time: 0.0248 memory: 8198 grad_norm: 4.8629 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0577 loss: 2.0577 2022/08/02 18:45:46 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 1.0000e-02 eta: 1 day, 9:42:01 time: 0.2808 data_time: 0.0224 memory: 8198 grad_norm: 4.8367 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8089 loss: 1.8089 2022/08/02 18:45:51 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 1.0000e-02 eta: 1 day, 9:41:55 time: 0.2871 data_time: 0.0251 memory: 8198 grad_norm: 5.0225 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8148 loss: 1.8148 2022/08/02 18:45:57 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 1.0000e-02 eta: 1 day, 9:41:48 time: 0.2778 data_time: 0.0214 memory: 8198 grad_norm: 5.0281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8618 loss: 1.8618 2022/08/02 18:46:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:46:03 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 1.0000e-02 eta: 1 day, 9:41:42 time: 0.2808 data_time: 0.0243 memory: 8198 grad_norm: 4.7998 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8817 loss: 1.8817 2022/08/02 18:46:08 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 1.0000e-02 eta: 1 day, 9:41:36 time: 0.2839 data_time: 0.0220 memory: 8198 grad_norm: 4.9304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0007 loss: 2.0007 2022/08/02 18:46:14 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 1.0000e-02 eta: 1 day, 9:41:31 time: 0.2897 data_time: 0.0236 memory: 8198 grad_norm: 4.9748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9473 loss: 1.9473 2022/08/02 18:46:20 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 1.0000e-02 eta: 1 day, 9:41:26 time: 0.2933 data_time: 0.0225 memory: 8198 grad_norm: 4.8928 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8993 loss: 1.8993 2022/08/02 18:46:26 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 1.0000e-02 eta: 1 day, 9:41:20 time: 0.2784 data_time: 0.0169 memory: 8198 grad_norm: 4.8137 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7467 loss: 1.7467 2022/08/02 18:46:31 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 1.0000e-02 eta: 1 day, 9:41:14 time: 0.2850 data_time: 0.0275 memory: 8198 grad_norm: 4.9379 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8998 loss: 1.8998 2022/08/02 18:46:37 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 1.0000e-02 eta: 1 day, 9:41:08 time: 0.2815 data_time: 0.0255 memory: 8198 grad_norm: 4.9307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9946 loss: 1.9946 2022/08/02 18:46:43 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 1.0000e-02 eta: 1 day, 9:41:02 time: 0.2865 data_time: 0.0261 memory: 8198 grad_norm: 4.9475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9795 loss: 1.9795 2022/08/02 18:46:48 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 1.0000e-02 eta: 1 day, 9:40:56 time: 0.2818 data_time: 0.0219 memory: 8198 grad_norm: 4.9005 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0776 loss: 2.0776 2022/08/02 18:46:54 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 1.0000e-02 eta: 1 day, 9:40:50 time: 0.2851 data_time: 0.0217 memory: 8198 grad_norm: 4.7429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7734 loss: 1.7734 2022/08/02 18:47:00 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 1.0000e-02 eta: 1 day, 9:40:44 time: 0.2844 data_time: 0.0226 memory: 8198 grad_norm: 4.8900 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9972 loss: 1.9972 2022/08/02 18:47:05 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 1.0000e-02 eta: 1 day, 9:40:39 time: 0.2879 data_time: 0.0248 memory: 8198 grad_norm: 4.8461 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9598 loss: 1.9598 2022/08/02 18:47:11 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 1.0000e-02 eta: 1 day, 9:40:33 time: 0.2844 data_time: 0.0210 memory: 8198 grad_norm: 4.9236 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8326 loss: 1.8326 2022/08/02 18:47:17 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 1.0000e-02 eta: 1 day, 9:40:27 time: 0.2817 data_time: 0.0246 memory: 8198 grad_norm: 4.8459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9379 loss: 1.9379 2022/08/02 18:47:22 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 1.0000e-02 eta: 1 day, 9:40:21 time: 0.2862 data_time: 0.0208 memory: 8198 grad_norm: 4.8517 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1175 loss: 2.1175 2022/08/02 18:47:28 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 1.0000e-02 eta: 1 day, 9:40:15 time: 0.2828 data_time: 0.0259 memory: 8198 grad_norm: 4.9752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8359 loss: 1.8359 2022/08/02 18:47:34 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 1.0000e-02 eta: 1 day, 9:40:09 time: 0.2825 data_time: 0.0229 memory: 8198 grad_norm: 4.7969 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0475 loss: 2.0475 2022/08/02 18:47:40 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 1.0000e-02 eta: 1 day, 9:40:04 time: 0.2925 data_time: 0.0233 memory: 8198 grad_norm: 4.7152 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6884 loss: 1.6884 2022/08/02 18:47:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:47:44 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 1.0000e-02 eta: 1 day, 9:40:04 time: 0.2526 data_time: 0.0161 memory: 8198 grad_norm: 5.0258 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7778 loss: 1.7778 2022/08/02 18:47:51 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:00:43 time: 0.3232 data_time: 0.2332 memory: 1514 2022/08/02 18:47:55 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:26 time: 0.2262 data_time: 0.1400 memory: 1514 2022/08/02 18:48:01 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:00:28 time: 0.3015 data_time: 0.2149 memory: 1514 2022/08/02 18:48:06 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:17 time: 0.2361 data_time: 0.1490 memory: 1514 2022/08/02 18:48:12 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:16 time: 0.2982 data_time: 0.2074 memory: 1514 2022/08/02 18:48:17 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:07 time: 0.2201 data_time: 0.1351 memory: 1514 2022/08/02 18:48:23 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:04 time: 0.3056 data_time: 0.2190 memory: 1514 2022/08/02 18:48:28 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.6216 acc/top5: 0.8393 acc/mean1: 0.6214 2022/08/02 18:48:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/02 18:48:30 - mmengine - INFO - The best checkpoint with 0.6216 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/02 18:48:38 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 1.0000e-02 eta: 1 day, 9:39:27 time: 0.3823 data_time: 0.1223 memory: 8198 grad_norm: 4.8718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8068 loss: 1.8068 2022/08/02 18:48:43 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 1.0000e-02 eta: 1 day, 9:39:20 time: 0.2768 data_time: 0.0160 memory: 8198 grad_norm: 4.9851 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6045 loss: 1.6045 2022/08/02 18:48:49 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 1.0000e-02 eta: 1 day, 9:39:14 time: 0.2854 data_time: 0.0265 memory: 8198 grad_norm: 4.8532 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6381 loss: 1.6381 2022/08/02 18:48:54 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 1.0000e-02 eta: 1 day, 9:39:08 time: 0.2797 data_time: 0.0185 memory: 8198 grad_norm: 4.8418 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8090 loss: 1.8090 2022/08/02 18:49:00 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 1.0000e-02 eta: 1 day, 9:39:02 time: 0.2842 data_time: 0.0223 memory: 8198 grad_norm: 4.7917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7213 loss: 1.7213 2022/08/02 18:49:06 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 1.0000e-02 eta: 1 day, 9:38:56 time: 0.2832 data_time: 0.0255 memory: 8198 grad_norm: 4.7804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0453 loss: 2.0453 2022/08/02 18:49:12 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 1.0000e-02 eta: 1 day, 9:38:51 time: 0.2937 data_time: 0.0211 memory: 8198 grad_norm: 4.8670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8748 loss: 1.8748 2022/08/02 18:49:17 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 1.0000e-02 eta: 1 day, 9:38:45 time: 0.2843 data_time: 0.0241 memory: 8198 grad_norm: 4.7807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8156 loss: 1.8156 2022/08/02 18:49:23 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 1.0000e-02 eta: 1 day, 9:38:40 time: 0.2876 data_time: 0.0310 memory: 8198 grad_norm: 4.9206 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/08/02 18:49:29 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 1.0000e-02 eta: 1 day, 9:38:37 time: 0.3003 data_time: 0.0238 memory: 8198 grad_norm: 5.0209 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7480 loss: 1.7480 2022/08/02 18:49:35 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 1.0000e-02 eta: 1 day, 9:38:30 time: 0.2791 data_time: 0.0248 memory: 8198 grad_norm: 4.9109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8176 loss: 1.8176 2022/08/02 18:49:40 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 1.0000e-02 eta: 1 day, 9:38:24 time: 0.2831 data_time: 0.0286 memory: 8198 grad_norm: 4.9386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9897 loss: 1.9897 2022/08/02 18:49:46 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 1.0000e-02 eta: 1 day, 9:38:18 time: 0.2815 data_time: 0.0205 memory: 8198 grad_norm: 4.8531 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7227 loss: 1.7227 2022/08/02 18:49:52 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 1.0000e-02 eta: 1 day, 9:38:13 time: 0.2920 data_time: 0.0210 memory: 8198 grad_norm: 4.9269 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7581 loss: 1.7581 2022/08/02 18:49:57 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 1.0000e-02 eta: 1 day, 9:38:07 time: 0.2821 data_time: 0.0223 memory: 8198 grad_norm: 4.8983 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8381 loss: 1.8381 2022/08/02 18:50:03 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 1.0000e-02 eta: 1 day, 9:38:01 time: 0.2828 data_time: 0.0230 memory: 8198 grad_norm: 4.9097 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7708 loss: 1.7708 2022/08/02 18:50:09 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 1.0000e-02 eta: 1 day, 9:37:56 time: 0.2898 data_time: 0.0236 memory: 8198 grad_norm: 4.7746 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7259 loss: 1.7259 2022/08/02 18:50:15 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 1.0000e-02 eta: 1 day, 9:37:50 time: 0.2875 data_time: 0.0227 memory: 8198 grad_norm: 4.8607 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7267 loss: 1.7267 2022/08/02 18:50:20 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 1.0000e-02 eta: 1 day, 9:37:44 time: 0.2830 data_time: 0.0263 memory: 8198 grad_norm: 5.0073 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6204 loss: 1.6204 2022/08/02 18:50:26 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 1.0000e-02 eta: 1 day, 9:37:38 time: 0.2842 data_time: 0.0247 memory: 8198 grad_norm: 4.9383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7685 loss: 1.7685 2022/08/02 18:50:32 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 1.0000e-02 eta: 1 day, 9:37:32 time: 0.2843 data_time: 0.0265 memory: 8198 grad_norm: 5.0086 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7670 loss: 1.7670 2022/08/02 18:50:37 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 1.0000e-02 eta: 1 day, 9:37:26 time: 0.2785 data_time: 0.0197 memory: 8198 grad_norm: 4.8958 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8929 loss: 1.8929 2022/08/02 18:50:43 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 1.0000e-02 eta: 1 day, 9:37:20 time: 0.2844 data_time: 0.0248 memory: 8198 grad_norm: 4.9531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8695 loss: 1.8695 2022/08/02 18:50:49 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 1.0000e-02 eta: 1 day, 9:37:13 time: 0.2808 data_time: 0.0228 memory: 8198 grad_norm: 5.0253 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7935 loss: 1.7935 2022/08/02 18:50:54 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 1.0000e-02 eta: 1 day, 9:37:07 time: 0.2819 data_time: 0.0264 memory: 8198 grad_norm: 4.9988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6908 loss: 1.6908 2022/08/02 18:51:00 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 1.0000e-02 eta: 1 day, 9:37:01 time: 0.2810 data_time: 0.0254 memory: 8198 grad_norm: 5.0314 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7110 loss: 1.7110 2022/08/02 18:51:06 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 1.0000e-02 eta: 1 day, 9:36:55 time: 0.2821 data_time: 0.0256 memory: 8198 grad_norm: 4.8724 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8979 loss: 1.8979 2022/08/02 18:51:11 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 1.0000e-02 eta: 1 day, 9:36:48 time: 0.2813 data_time: 0.0251 memory: 8198 grad_norm: 4.9653 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6933 loss: 1.6933 2022/08/02 18:51:17 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 1.0000e-02 eta: 1 day, 9:36:42 time: 0.2831 data_time: 0.0215 memory: 8198 grad_norm: 5.1201 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9407 loss: 1.9407 2022/08/02 18:51:23 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 1.0000e-02 eta: 1 day, 9:36:37 time: 0.2867 data_time: 0.0262 memory: 8198 grad_norm: 4.9666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9584 loss: 1.9584 2022/08/02 18:51:28 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 1.0000e-02 eta: 1 day, 9:36:32 time: 0.2932 data_time: 0.0243 memory: 8198 grad_norm: 4.8424 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8543 loss: 1.8543 2022/08/02 18:51:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:51:34 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 1.0000e-02 eta: 1 day, 9:36:26 time: 0.2809 data_time: 0.0193 memory: 8198 grad_norm: 5.0198 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8849 loss: 1.8849 2022/08/02 18:51:40 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 1.0000e-02 eta: 1 day, 9:36:21 time: 0.2897 data_time: 0.0229 memory: 8198 grad_norm: 4.9456 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9796 loss: 1.9796 2022/08/02 18:51:45 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 1.0000e-02 eta: 1 day, 9:36:14 time: 0.2773 data_time: 0.0208 memory: 8198 grad_norm: 4.8667 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8487 loss: 1.8487 2022/08/02 18:51:51 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 1.0000e-02 eta: 1 day, 9:36:09 time: 0.2890 data_time: 0.0219 memory: 8198 grad_norm: 4.8878 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6747 loss: 1.6747 2022/08/02 18:51:57 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 1.0000e-02 eta: 1 day, 9:36:03 time: 0.2815 data_time: 0.0214 memory: 8198 grad_norm: 4.8926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/08/02 18:52:03 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 1.0000e-02 eta: 1 day, 9:35:59 time: 0.2993 data_time: 0.0268 memory: 8198 grad_norm: 4.9342 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/08/02 18:52:08 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 1.0000e-02 eta: 1 day, 9:35:53 time: 0.2816 data_time: 0.0200 memory: 8198 grad_norm: 5.0201 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9273 loss: 1.9273 2022/08/02 18:52:14 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 1.0000e-02 eta: 1 day, 9:35:47 time: 0.2856 data_time: 0.0266 memory: 8198 grad_norm: 5.0076 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9334 loss: 1.9334 2022/08/02 18:52:20 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 1.0000e-02 eta: 1 day, 9:35:41 time: 0.2823 data_time: 0.0211 memory: 8198 grad_norm: 4.8518 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9567 loss: 1.9567 2022/08/02 18:52:26 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 1.0000e-02 eta: 1 day, 9:35:35 time: 0.2834 data_time: 0.0254 memory: 8198 grad_norm: 4.8368 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9421 loss: 1.9421 2022/08/02 18:52:31 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 1.0000e-02 eta: 1 day, 9:35:29 time: 0.2853 data_time: 0.0212 memory: 8198 grad_norm: 4.9768 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8656 loss: 1.8656 2022/08/02 18:52:37 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 1.0000e-02 eta: 1 day, 9:35:23 time: 0.2796 data_time: 0.0203 memory: 8198 grad_norm: 4.8397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9087 loss: 1.9087 2022/08/02 18:52:43 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 1.0000e-02 eta: 1 day, 9:35:19 time: 0.2995 data_time: 0.0435 memory: 8198 grad_norm: 4.8506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8334 loss: 1.8334 2022/08/02 18:52:49 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 1.0000e-02 eta: 1 day, 9:35:14 time: 0.2891 data_time: 0.0208 memory: 8198 grad_norm: 4.8540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7877 loss: 1.7877 2022/08/02 18:52:54 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 1.0000e-02 eta: 1 day, 9:35:07 time: 0.2801 data_time: 0.0178 memory: 8198 grad_norm: 4.8954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8405 loss: 1.8405 2022/08/02 18:53:00 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 1.0000e-02 eta: 1 day, 9:35:02 time: 0.2860 data_time: 0.0228 memory: 8198 grad_norm: 5.0391 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7786 loss: 1.7786 2022/08/02 18:53:06 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 1.0000e-02 eta: 1 day, 9:34:55 time: 0.2786 data_time: 0.0233 memory: 8198 grad_norm: 4.9975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0446 loss: 2.0446 2022/08/02 18:53:11 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 1.0000e-02 eta: 1 day, 9:34:49 time: 0.2826 data_time: 0.0238 memory: 8198 grad_norm: 4.9936 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7474 loss: 1.7474 2022/08/02 18:53:17 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 1.0000e-02 eta: 1 day, 9:34:43 time: 0.2813 data_time: 0.0274 memory: 8198 grad_norm: 4.9541 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9681 loss: 1.9681 2022/08/02 18:53:23 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 1.0000e-02 eta: 1 day, 9:34:37 time: 0.2846 data_time: 0.0250 memory: 8198 grad_norm: 5.0215 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9900 loss: 1.9900 2022/08/02 18:53:28 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 1.0000e-02 eta: 1 day, 9:34:30 time: 0.2787 data_time: 0.0213 memory: 8198 grad_norm: 4.8585 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7582 loss: 1.7582 2022/08/02 18:53:34 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 1.0000e-02 eta: 1 day, 9:34:24 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 4.8760 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9916 loss: 1.9916 2022/08/02 18:53:39 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 1.0000e-02 eta: 1 day, 9:34:18 time: 0.2819 data_time: 0.0210 memory: 8198 grad_norm: 4.8179 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6945 loss: 1.6945 2022/08/02 18:53:45 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 1.0000e-02 eta: 1 day, 9:34:12 time: 0.2856 data_time: 0.0252 memory: 8198 grad_norm: 4.7722 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8450 loss: 1.8450 2022/08/02 18:53:51 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 1.0000e-02 eta: 1 day, 9:34:07 time: 0.2913 data_time: 0.0294 memory: 8198 grad_norm: 4.9336 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7394 loss: 1.7394 2022/08/02 18:53:57 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 1.0000e-02 eta: 1 day, 9:34:01 time: 0.2827 data_time: 0.0198 memory: 8198 grad_norm: 4.8749 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7632 loss: 1.7632 2022/08/02 18:54:02 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 1.0000e-02 eta: 1 day, 9:33:56 time: 0.2881 data_time: 0.0299 memory: 8198 grad_norm: 5.0107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6907 loss: 1.6907 2022/08/02 18:54:08 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 1.0000e-02 eta: 1 day, 9:33:50 time: 0.2800 data_time: 0.0247 memory: 8198 grad_norm: 4.7818 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7655 loss: 1.7655 2022/08/02 18:54:14 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 1.0000e-02 eta: 1 day, 9:33:43 time: 0.2827 data_time: 0.0239 memory: 8198 grad_norm: 4.8746 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7042 loss: 1.7042 2022/08/02 18:54:19 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 1.0000e-02 eta: 1 day, 9:33:38 time: 0.2899 data_time: 0.0242 memory: 8198 grad_norm: 4.8273 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7613 loss: 1.7613 2022/08/02 18:54:25 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 1.0000e-02 eta: 1 day, 9:33:32 time: 0.2830 data_time: 0.0238 memory: 8198 grad_norm: 4.9238 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7738 loss: 1.7738 2022/08/02 18:54:31 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 1.0000e-02 eta: 1 day, 9:33:26 time: 0.2818 data_time: 0.0236 memory: 8198 grad_norm: 5.0043 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0948 loss: 2.0948 2022/08/02 18:54:36 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 1.0000e-02 eta: 1 day, 9:33:20 time: 0.2822 data_time: 0.0212 memory: 8198 grad_norm: 4.9167 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0211 loss: 2.0211 2022/08/02 18:54:42 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 1.0000e-02 eta: 1 day, 9:33:14 time: 0.2842 data_time: 0.0234 memory: 8198 grad_norm: 5.0093 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9161 loss: 1.9161 2022/08/02 18:54:48 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 1.0000e-02 eta: 1 day, 9:33:08 time: 0.2803 data_time: 0.0276 memory: 8198 grad_norm: 5.0116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8355 loss: 1.8355 2022/08/02 18:54:53 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 1.0000e-02 eta: 1 day, 9:33:02 time: 0.2844 data_time: 0.0252 memory: 8198 grad_norm: 4.9525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6208 loss: 1.6208 2022/08/02 18:54:59 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 1.0000e-02 eta: 1 day, 9:32:56 time: 0.2825 data_time: 0.0201 memory: 8198 grad_norm: 5.0697 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0607 loss: 2.0607 2022/08/02 18:55:05 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 1.0000e-02 eta: 1 day, 9:32:49 time: 0.2810 data_time: 0.0246 memory: 8198 grad_norm: 4.8844 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9534 loss: 1.9534 2022/08/02 18:55:11 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 1.0000e-02 eta: 1 day, 9:32:45 time: 0.2924 data_time: 0.0213 memory: 8198 grad_norm: 5.0072 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/02 18:55:16 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 1.0000e-02 eta: 1 day, 9:32:38 time: 0.2804 data_time: 0.0206 memory: 8198 grad_norm: 4.9184 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8401 loss: 1.8401 2022/08/02 18:55:22 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 1.0000e-02 eta: 1 day, 9:32:34 time: 0.2955 data_time: 0.0196 memory: 8198 grad_norm: 4.9331 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9946 loss: 1.9946 2022/08/02 18:55:28 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 1.0000e-02 eta: 1 day, 9:32:27 time: 0.2793 data_time: 0.0210 memory: 8198 grad_norm: 4.9601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7405 loss: 1.7405 2022/08/02 18:55:33 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 1.0000e-02 eta: 1 day, 9:32:22 time: 0.2856 data_time: 0.0297 memory: 8198 grad_norm: 4.9901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5787 loss: 1.5787 2022/08/02 18:55:40 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 1.0000e-02 eta: 1 day, 9:32:21 time: 0.3157 data_time: 0.0267 memory: 8198 grad_norm: 5.0252 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8425 loss: 1.8425 2022/08/02 18:55:45 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 1.0000e-02 eta: 1 day, 9:32:14 time: 0.2786 data_time: 0.0187 memory: 8198 grad_norm: 4.9486 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9371 loss: 1.9371 2022/08/02 18:55:51 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 1.0000e-02 eta: 1 day, 9:32:08 time: 0.2829 data_time: 0.0227 memory: 8198 grad_norm: 4.7993 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9647 loss: 1.9647 2022/08/02 18:55:57 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 1.0000e-02 eta: 1 day, 9:32:02 time: 0.2817 data_time: 0.0211 memory: 8198 grad_norm: 4.7991 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7487 loss: 1.7487 2022/08/02 18:56:02 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 1.0000e-02 eta: 1 day, 9:31:55 time: 0.2819 data_time: 0.0252 memory: 8198 grad_norm: 4.8238 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8469 loss: 1.8469 2022/08/02 18:56:08 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 1.0000e-02 eta: 1 day, 9:31:49 time: 0.2795 data_time: 0.0216 memory: 8198 grad_norm: 4.9629 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9487 loss: 1.9487 2022/08/02 18:56:14 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 1.0000e-02 eta: 1 day, 9:31:43 time: 0.2841 data_time: 0.0237 memory: 8198 grad_norm: 4.7268 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6696 loss: 1.6696 2022/08/02 18:56:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:56:19 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 1.0000e-02 eta: 1 day, 9:31:38 time: 0.2931 data_time: 0.0356 memory: 8198 grad_norm: 4.9125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9686 loss: 1.9686 2022/08/02 18:56:25 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 1.0000e-02 eta: 1 day, 9:31:32 time: 0.2784 data_time: 0.0224 memory: 8198 grad_norm: 4.8067 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7716 loss: 1.7716 2022/08/02 18:56:31 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 1.0000e-02 eta: 1 day, 9:31:26 time: 0.2827 data_time: 0.0272 memory: 8198 grad_norm: 4.9210 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8411 loss: 1.8411 2022/08/02 18:56:36 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 1.0000e-02 eta: 1 day, 9:31:20 time: 0.2848 data_time: 0.0300 memory: 8198 grad_norm: 4.7528 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7902 loss: 1.7902 2022/08/02 18:56:42 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 1.0000e-02 eta: 1 day, 9:31:14 time: 0.2861 data_time: 0.0226 memory: 8198 grad_norm: 4.9762 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8373 loss: 1.8373 2022/08/02 18:56:48 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 1.0000e-02 eta: 1 day, 9:31:08 time: 0.2828 data_time: 0.0272 memory: 8198 grad_norm: 4.9967 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0789 loss: 2.0789 2022/08/02 18:56:53 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 1.0000e-02 eta: 1 day, 9:31:02 time: 0.2808 data_time: 0.0281 memory: 8198 grad_norm: 4.8113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7597 loss: 1.7597 2022/08/02 18:56:59 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 1.0000e-02 eta: 1 day, 9:30:57 time: 0.2953 data_time: 0.0214 memory: 8198 grad_norm: 4.9891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8654 loss: 1.8654 2022/08/02 18:57:05 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 1.0000e-02 eta: 1 day, 9:30:51 time: 0.2792 data_time: 0.0174 memory: 8198 grad_norm: 4.9792 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8163 loss: 1.8163 2022/08/02 18:57:11 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 1.0000e-02 eta: 1 day, 9:30:46 time: 0.2880 data_time: 0.0273 memory: 8198 grad_norm: 4.8531 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8784 loss: 1.8784 2022/08/02 18:57:16 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 1.0000e-02 eta: 1 day, 9:30:39 time: 0.2817 data_time: 0.0221 memory: 8198 grad_norm: 4.8620 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9530 loss: 1.9530 2022/08/02 18:57:22 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 1.0000e-02 eta: 1 day, 9:30:35 time: 0.2976 data_time: 0.0227 memory: 8198 grad_norm: 5.0070 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9181 loss: 1.9181 2022/08/02 18:57:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 18:57:27 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 1.0000e-02 eta: 1 day, 9:30:35 time: 0.2517 data_time: 0.0158 memory: 8198 grad_norm: 4.9000 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7842 loss: 1.7842 2022/08/02 18:57:35 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 1.0000e-02 eta: 1 day, 9:30:02 time: 0.4064 data_time: 0.1145 memory: 8198 grad_norm: 4.7968 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5493 loss: 1.5493 2022/08/02 18:57:41 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 1.0000e-02 eta: 1 day, 9:29:59 time: 0.3013 data_time: 0.0216 memory: 8198 grad_norm: 4.9549 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7161 loss: 1.7161 2022/08/02 18:57:47 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 1.0000e-02 eta: 1 day, 9:29:53 time: 0.2835 data_time: 0.0220 memory: 8198 grad_norm: 4.8316 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/08/02 18:57:52 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 1.0000e-02 eta: 1 day, 9:29:47 time: 0.2788 data_time: 0.0241 memory: 8198 grad_norm: 4.9773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7245 loss: 1.7245 2022/08/02 18:57:58 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 1.0000e-02 eta: 1 day, 9:29:40 time: 0.2811 data_time: 0.0223 memory: 8198 grad_norm: 4.9450 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7079 loss: 1.7079 2022/08/02 18:58:04 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 1.0000e-02 eta: 1 day, 9:29:34 time: 0.2826 data_time: 0.0195 memory: 8198 grad_norm: 4.9216 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0812 loss: 2.0812 2022/08/02 18:58:09 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 1.0000e-02 eta: 1 day, 9:29:28 time: 0.2823 data_time: 0.0216 memory: 8198 grad_norm: 4.8322 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6719 loss: 1.6719 2022/08/02 18:58:15 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 1.0000e-02 eta: 1 day, 9:29:22 time: 0.2837 data_time: 0.0280 memory: 8198 grad_norm: 5.0135 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7250 loss: 1.7250 2022/08/02 18:58:21 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 1.0000e-02 eta: 1 day, 9:29:18 time: 0.2956 data_time: 0.0212 memory: 8198 grad_norm: 5.0483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9882 loss: 1.9882 2022/08/02 18:58:27 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 1.0000e-02 eta: 1 day, 9:29:11 time: 0.2807 data_time: 0.0173 memory: 8198 grad_norm: 4.7588 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6785 loss: 1.6785 2022/08/02 18:58:32 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 1.0000e-02 eta: 1 day, 9:29:06 time: 0.2866 data_time: 0.0222 memory: 8198 grad_norm: 4.8415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8514 loss: 1.8514 2022/08/02 18:58:38 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 1.0000e-02 eta: 1 day, 9:28:59 time: 0.2802 data_time: 0.0195 memory: 8198 grad_norm: 4.8973 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9721 loss: 1.9721 2022/08/02 18:58:44 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 1.0000e-02 eta: 1 day, 9:28:54 time: 0.2848 data_time: 0.0230 memory: 8198 grad_norm: 4.7980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7521 loss: 1.7521 2022/08/02 18:58:49 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 1.0000e-02 eta: 1 day, 9:28:48 time: 0.2830 data_time: 0.0227 memory: 8198 grad_norm: 4.8447 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9429 loss: 1.9429 2022/08/02 18:58:55 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 1.0000e-02 eta: 1 day, 9:28:42 time: 0.2875 data_time: 0.0197 memory: 8198 grad_norm: 5.0698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8287 loss: 1.8287 2022/08/02 18:59:01 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 1.0000e-02 eta: 1 day, 9:28:39 time: 0.2999 data_time: 0.0178 memory: 8198 grad_norm: 4.9663 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8219 loss: 1.8219 2022/08/02 18:59:07 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 1.0000e-02 eta: 1 day, 9:28:32 time: 0.2798 data_time: 0.0227 memory: 8198 grad_norm: 4.8979 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8155 loss: 1.8155 2022/08/02 18:59:13 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 1.0000e-02 eta: 1 day, 9:28:27 time: 0.2879 data_time: 0.0228 memory: 8198 grad_norm: 4.8881 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8441 loss: 1.8441 2022/08/02 18:59:18 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 1.0000e-02 eta: 1 day, 9:28:21 time: 0.2834 data_time: 0.0225 memory: 8198 grad_norm: 4.9569 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8696 loss: 1.8696 2022/08/02 18:59:24 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 1.0000e-02 eta: 1 day, 9:28:16 time: 0.2901 data_time: 0.0185 memory: 8198 grad_norm: 5.0329 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0586 loss: 2.0586 2022/08/02 18:59:30 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 1.0000e-02 eta: 1 day, 9:28:11 time: 0.2905 data_time: 0.0282 memory: 8198 grad_norm: 5.0703 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9000 loss: 1.9000 2022/08/02 18:59:35 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 1.0000e-02 eta: 1 day, 9:28:05 time: 0.2826 data_time: 0.0245 memory: 8198 grad_norm: 4.9058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7578 loss: 1.7578 2022/08/02 18:59:41 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 1.0000e-02 eta: 1 day, 9:28:00 time: 0.2894 data_time: 0.0219 memory: 8198 grad_norm: 4.8320 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8278 loss: 1.8278 2022/08/02 18:59:47 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 1.0000e-02 eta: 1 day, 9:27:54 time: 0.2841 data_time: 0.0227 memory: 8198 grad_norm: 4.8962 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5655 loss: 1.5655 2022/08/02 18:59:53 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 1.0000e-02 eta: 1 day, 9:27:48 time: 0.2845 data_time: 0.0241 memory: 8198 grad_norm: 4.9404 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8185 loss: 1.8185 2022/08/02 18:59:58 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 1.0000e-02 eta: 1 day, 9:27:41 time: 0.2794 data_time: 0.0234 memory: 8198 grad_norm: 4.9300 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7168 loss: 1.7168 2022/08/02 19:00:04 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 1.0000e-02 eta: 1 day, 9:27:37 time: 0.2940 data_time: 0.0285 memory: 8198 grad_norm: 4.7554 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7590 loss: 1.7590 2022/08/02 19:00:10 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 1.0000e-02 eta: 1 day, 9:27:31 time: 0.2828 data_time: 0.0248 memory: 8198 grad_norm: 5.0323 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8916 loss: 1.8916 2022/08/02 19:00:16 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 1.0000e-02 eta: 1 day, 9:27:25 time: 0.2866 data_time: 0.0236 memory: 8198 grad_norm: 5.0176 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8568 loss: 1.8568 2022/08/02 19:00:21 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 1.0000e-02 eta: 1 day, 9:27:20 time: 0.2841 data_time: 0.0240 memory: 8198 grad_norm: 4.8963 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7914 loss: 1.7914 2022/08/02 19:00:27 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 1.0000e-02 eta: 1 day, 9:27:16 time: 0.2975 data_time: 0.0212 memory: 8198 grad_norm: 5.0024 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0272 loss: 2.0272 2022/08/02 19:00:33 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 1.0000e-02 eta: 1 day, 9:27:10 time: 0.2879 data_time: 0.0258 memory: 8198 grad_norm: 4.9623 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9985 loss: 1.9985 2022/08/02 19:00:39 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 1.0000e-02 eta: 1 day, 9:27:04 time: 0.2804 data_time: 0.0287 memory: 8198 grad_norm: 4.8793 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9217 loss: 1.9217 2022/08/02 19:00:44 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 1.0000e-02 eta: 1 day, 9:26:58 time: 0.2866 data_time: 0.0275 memory: 8198 grad_norm: 4.9521 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9716 loss: 1.9716 2022/08/02 19:00:50 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 1.0000e-02 eta: 1 day, 9:26:52 time: 0.2837 data_time: 0.0230 memory: 8198 grad_norm: 4.8730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9826 loss: 1.9826 2022/08/02 19:00:56 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 1.0000e-02 eta: 1 day, 9:26:46 time: 0.2834 data_time: 0.0255 memory: 8198 grad_norm: 5.1125 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8746 loss: 1.8746 2022/08/02 19:01:01 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 1.0000e-02 eta: 1 day, 9:26:40 time: 0.2813 data_time: 0.0251 memory: 8198 grad_norm: 5.0538 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9159 loss: 1.9159 2022/08/02 19:01:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:01:07 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 1.0000e-02 eta: 1 day, 9:26:34 time: 0.2818 data_time: 0.0224 memory: 8198 grad_norm: 4.8608 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7983 loss: 1.7983 2022/08/02 19:01:13 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 1.0000e-02 eta: 1 day, 9:26:31 time: 0.3016 data_time: 0.0259 memory: 8198 grad_norm: 5.0105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9172 loss: 1.9172 2022/08/02 19:01:19 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 1.0000e-02 eta: 1 day, 9:26:24 time: 0.2809 data_time: 0.0231 memory: 8198 grad_norm: 5.0548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6464 loss: 1.6464 2022/08/02 19:01:24 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 1.0000e-02 eta: 1 day, 9:26:18 time: 0.2844 data_time: 0.0277 memory: 8198 grad_norm: 4.7922 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6702 loss: 1.6702 2022/08/02 19:01:30 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 1.0000e-02 eta: 1 day, 9:26:12 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 4.9322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8087 loss: 1.8087 2022/08/02 19:01:36 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 1.0000e-02 eta: 1 day, 9:26:06 time: 0.2841 data_time: 0.0285 memory: 8198 grad_norm: 4.9425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/08/02 19:01:41 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 1.0000e-02 eta: 1 day, 9:26:01 time: 0.2854 data_time: 0.0218 memory: 8198 grad_norm: 4.9078 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9051 loss: 1.9051 2022/08/02 19:01:47 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 1.0000e-02 eta: 1 day, 9:25:54 time: 0.2786 data_time: 0.0254 memory: 8198 grad_norm: 4.9804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8326 loss: 1.8326 2022/08/02 19:01:53 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 1.0000e-02 eta: 1 day, 9:25:48 time: 0.2829 data_time: 0.0233 memory: 8198 grad_norm: 5.0224 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6923 loss: 1.6923 2022/08/02 19:01:58 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 1.0000e-02 eta: 1 day, 9:25:42 time: 0.2860 data_time: 0.0213 memory: 8198 grad_norm: 4.9700 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0484 loss: 2.0484 2022/08/02 19:02:04 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 1.0000e-02 eta: 1 day, 9:25:36 time: 0.2794 data_time: 0.0213 memory: 8198 grad_norm: 4.8590 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9642 loss: 1.9642 2022/08/02 19:02:10 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 1.0000e-02 eta: 1 day, 9:25:30 time: 0.2823 data_time: 0.0247 memory: 8198 grad_norm: 4.9938 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8822 loss: 1.8822 2022/08/02 19:02:15 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 1.0000e-02 eta: 1 day, 9:25:23 time: 0.2820 data_time: 0.0215 memory: 8198 grad_norm: 4.9457 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7325 loss: 1.7325 2022/08/02 19:02:21 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 1.0000e-02 eta: 1 day, 9:25:17 time: 0.2806 data_time: 0.0211 memory: 8198 grad_norm: 4.9145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8531 loss: 1.8531 2022/08/02 19:02:26 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 1.0000e-02 eta: 1 day, 9:25:10 time: 0.2769 data_time: 0.0189 memory: 8198 grad_norm: 4.7359 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7819 loss: 1.7819 2022/08/02 19:02:32 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 1.0000e-02 eta: 1 day, 9:25:05 time: 0.2876 data_time: 0.0292 memory: 8198 grad_norm: 4.9806 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0117 loss: 2.0117 2022/08/02 19:02:38 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 1.0000e-02 eta: 1 day, 9:24:59 time: 0.2815 data_time: 0.0235 memory: 8198 grad_norm: 5.0871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8282 loss: 1.8282 2022/08/02 19:02:43 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 1.0000e-02 eta: 1 day, 9:24:53 time: 0.2836 data_time: 0.0234 memory: 8198 grad_norm: 5.0474 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9555 loss: 1.9555 2022/08/02 19:02:49 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 1.0000e-02 eta: 1 day, 9:24:46 time: 0.2812 data_time: 0.0195 memory: 8198 grad_norm: 4.8987 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6375 loss: 1.6375 2022/08/02 19:02:55 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 1.0000e-02 eta: 1 day, 9:24:40 time: 0.2816 data_time: 0.0256 memory: 8198 grad_norm: 4.9075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8442 loss: 1.8442 2022/08/02 19:03:00 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 1.0000e-02 eta: 1 day, 9:24:34 time: 0.2844 data_time: 0.0243 memory: 8198 grad_norm: 4.9002 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8918 loss: 1.8918 2022/08/02 19:03:06 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 1.0000e-02 eta: 1 day, 9:24:28 time: 0.2809 data_time: 0.0211 memory: 8198 grad_norm: 5.1155 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8299 loss: 1.8299 2022/08/02 19:03:12 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 1.0000e-02 eta: 1 day, 9:24:22 time: 0.2811 data_time: 0.0217 memory: 8198 grad_norm: 5.0201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8185 loss: 1.8185 2022/08/02 19:03:17 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 1.0000e-02 eta: 1 day, 9:24:15 time: 0.2793 data_time: 0.0246 memory: 8198 grad_norm: 4.9394 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9266 loss: 1.9266 2022/08/02 19:03:23 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 1.0000e-02 eta: 1 day, 9:24:10 time: 0.2913 data_time: 0.0200 memory: 8198 grad_norm: 4.8268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8278 loss: 1.8278 2022/08/02 19:03:29 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 1.0000e-02 eta: 1 day, 9:24:04 time: 0.2827 data_time: 0.0247 memory: 8198 grad_norm: 5.0591 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8410 loss: 1.8410 2022/08/02 19:03:34 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 1.0000e-02 eta: 1 day, 9:23:58 time: 0.2826 data_time: 0.0251 memory: 8198 grad_norm: 5.0071 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9031 loss: 1.9031 2022/08/02 19:03:40 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 1.0000e-02 eta: 1 day, 9:23:53 time: 0.2862 data_time: 0.0199 memory: 8198 grad_norm: 4.8812 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8342 loss: 1.8342 2022/08/02 19:03:46 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 1.0000e-02 eta: 1 day, 9:23:47 time: 0.2836 data_time: 0.0221 memory: 8198 grad_norm: 4.9985 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8541 loss: 1.8541 2022/08/02 19:03:51 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 1.0000e-02 eta: 1 day, 9:23:41 time: 0.2829 data_time: 0.0258 memory: 8198 grad_norm: 4.9324 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9952 loss: 1.9952 2022/08/02 19:03:58 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 1.0000e-02 eta: 1 day, 9:23:38 time: 0.3053 data_time: 0.0201 memory: 8198 grad_norm: 4.8988 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6866 loss: 1.6866 2022/08/02 19:04:04 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 1.0000e-02 eta: 1 day, 9:23:37 time: 0.3203 data_time: 0.0194 memory: 8198 grad_norm: 4.9651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9848 loss: 1.9848 2022/08/02 19:04:10 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 1.0000e-02 eta: 1 day, 9:23:31 time: 0.2850 data_time: 0.0202 memory: 8198 grad_norm: 4.9133 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8093 loss: 1.8093 2022/08/02 19:04:16 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 1.0000e-02 eta: 1 day, 9:23:33 time: 0.3410 data_time: 0.0206 memory: 8198 grad_norm: 4.8518 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7497 loss: 1.7497 2022/08/02 19:04:22 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 1.0000e-02 eta: 1 day, 9:23:29 time: 0.2944 data_time: 0.0224 memory: 8198 grad_norm: 5.0158 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9992 loss: 1.9992 2022/08/02 19:04:28 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 1.0000e-02 eta: 1 day, 9:23:22 time: 0.2787 data_time: 0.0228 memory: 8198 grad_norm: 4.9924 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7614 loss: 1.7614 2022/08/02 19:04:34 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 1.0000e-02 eta: 1 day, 9:23:17 time: 0.2886 data_time: 0.0225 memory: 8198 grad_norm: 5.0234 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7626 loss: 1.7626 2022/08/02 19:04:39 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 1.0000e-02 eta: 1 day, 9:23:11 time: 0.2806 data_time: 0.0232 memory: 8198 grad_norm: 4.9611 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0090 loss: 2.0090 2022/08/02 19:04:45 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 1.0000e-02 eta: 1 day, 9:23:04 time: 0.2817 data_time: 0.0231 memory: 8198 grad_norm: 4.9601 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8932 loss: 1.8932 2022/08/02 19:04:51 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 1.0000e-02 eta: 1 day, 9:22:58 time: 0.2818 data_time: 0.0238 memory: 8198 grad_norm: 4.8997 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9469 loss: 1.9469 2022/08/02 19:04:56 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 1.0000e-02 eta: 1 day, 9:22:52 time: 0.2821 data_time: 0.0226 memory: 8198 grad_norm: 4.9576 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9307 loss: 1.9307 2022/08/02 19:05:02 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 1.0000e-02 eta: 1 day, 9:22:46 time: 0.2847 data_time: 0.0283 memory: 8198 grad_norm: 4.9979 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0417 loss: 2.0417 2022/08/02 19:05:08 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 1.0000e-02 eta: 1 day, 9:22:40 time: 0.2785 data_time: 0.0173 memory: 8198 grad_norm: 4.9171 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9878 loss: 1.9878 2022/08/02 19:05:13 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 1.0000e-02 eta: 1 day, 9:22:34 time: 0.2884 data_time: 0.0270 memory: 8198 grad_norm: 4.9577 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9827 loss: 1.9827 2022/08/02 19:05:19 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 1.0000e-02 eta: 1 day, 9:22:28 time: 0.2813 data_time: 0.0211 memory: 8198 grad_norm: 4.8739 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7060 loss: 1.7060 2022/08/02 19:05:25 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 1.0000e-02 eta: 1 day, 9:22:23 time: 0.2909 data_time: 0.0263 memory: 8198 grad_norm: 5.0329 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7893 loss: 1.7893 2022/08/02 19:05:30 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 1.0000e-02 eta: 1 day, 9:22:17 time: 0.2833 data_time: 0.0254 memory: 8198 grad_norm: 4.9395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9759 loss: 1.9759 2022/08/02 19:05:36 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 1.0000e-02 eta: 1 day, 9:22:11 time: 0.2797 data_time: 0.0230 memory: 8198 grad_norm: 5.0194 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8758 loss: 1.8758 2022/08/02 19:05:42 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 1.0000e-02 eta: 1 day, 9:22:04 time: 0.2808 data_time: 0.0221 memory: 8198 grad_norm: 4.8525 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8724 loss: 1.8724 2022/08/02 19:05:47 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 1.0000e-02 eta: 1 day, 9:21:59 time: 0.2854 data_time: 0.0275 memory: 8198 grad_norm: 4.8621 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8004 loss: 1.8004 2022/08/02 19:05:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:05:53 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 1.0000e-02 eta: 1 day, 9:21:52 time: 0.2795 data_time: 0.0226 memory: 8198 grad_norm: 5.0509 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8881 loss: 1.8881 2022/08/02 19:05:59 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 1.0000e-02 eta: 1 day, 9:21:46 time: 0.2831 data_time: 0.0240 memory: 8198 grad_norm: 5.0530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8440 loss: 1.8440 2022/08/02 19:06:04 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 1.0000e-02 eta: 1 day, 9:21:41 time: 0.2857 data_time: 0.0210 memory: 8198 grad_norm: 4.9282 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.8782 loss: 1.8782 2022/08/02 19:06:10 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 1.0000e-02 eta: 1 day, 9:21:35 time: 0.2836 data_time: 0.0230 memory: 8198 grad_norm: 4.8609 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0196 loss: 2.0196 2022/08/02 19:06:16 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 1.0000e-02 eta: 1 day, 9:21:28 time: 0.2814 data_time: 0.0275 memory: 8198 grad_norm: 4.8495 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6322 loss: 1.6322 2022/08/02 19:06:21 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 1.0000e-02 eta: 1 day, 9:21:23 time: 0.2873 data_time: 0.0236 memory: 8198 grad_norm: 4.8592 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8863 loss: 1.8863 2022/08/02 19:06:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:06:26 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 1.0000e-02 eta: 1 day, 9:21:23 time: 0.2559 data_time: 0.0154 memory: 8198 grad_norm: 5.0468 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.8778 loss: 1.8778 2022/08/02 19:06:26 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/02 19:06:36 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 1.0000e-02 eta: 1 day, 9:20:43 time: 0.3540 data_time: 0.0962 memory: 8198 grad_norm: 4.8061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9001 loss: 1.9001 2022/08/02 19:06:42 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 1.0000e-02 eta: 1 day, 9:20:37 time: 0.2822 data_time: 0.0211 memory: 8198 grad_norm: 4.9262 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8828 loss: 1.8828 2022/08/02 19:06:47 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 1.0000e-02 eta: 1 day, 9:20:31 time: 0.2795 data_time: 0.0227 memory: 8198 grad_norm: 4.8873 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8695 loss: 1.8695 2022/08/02 19:06:53 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 1.0000e-02 eta: 1 day, 9:20:24 time: 0.2788 data_time: 0.0199 memory: 8198 grad_norm: 4.8025 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7538 loss: 1.7538 2022/08/02 19:06:59 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 1.0000e-02 eta: 1 day, 9:20:18 time: 0.2811 data_time: 0.0211 memory: 8198 grad_norm: 4.8292 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7076 loss: 1.7076 2022/08/02 19:07:04 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 1.0000e-02 eta: 1 day, 9:20:13 time: 0.2871 data_time: 0.0276 memory: 8198 grad_norm: 4.9566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/08/02 19:07:10 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 1.0000e-02 eta: 1 day, 9:20:09 time: 0.2986 data_time: 0.0289 memory: 8198 grad_norm: 4.9038 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0389 loss: 2.0389 2022/08/02 19:07:16 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 1.0000e-02 eta: 1 day, 9:20:02 time: 0.2790 data_time: 0.0194 memory: 8198 grad_norm: 4.8381 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6685 loss: 1.6685 2022/08/02 19:07:22 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 1.0000e-02 eta: 1 day, 9:19:56 time: 0.2854 data_time: 0.0263 memory: 8198 grad_norm: 4.8907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7378 loss: 1.7378 2022/08/02 19:07:27 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 1.0000e-02 eta: 1 day, 9:19:50 time: 0.2814 data_time: 0.0181 memory: 8198 grad_norm: 4.9134 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7890 loss: 1.7890 2022/08/02 19:07:33 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 1.0000e-02 eta: 1 day, 9:19:45 time: 0.2868 data_time: 0.0237 memory: 8198 grad_norm: 4.7893 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8288 loss: 1.8288 2022/08/02 19:07:39 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 1.0000e-02 eta: 1 day, 9:19:39 time: 0.2819 data_time: 0.0176 memory: 8198 grad_norm: 5.0563 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9338 loss: 1.9338 2022/08/02 19:07:44 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 1.0000e-02 eta: 1 day, 9:19:33 time: 0.2836 data_time: 0.0223 memory: 8198 grad_norm: 5.0073 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7314 loss: 1.7314 2022/08/02 19:07:50 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 1.0000e-02 eta: 1 day, 9:19:27 time: 0.2873 data_time: 0.0241 memory: 8198 grad_norm: 4.9532 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7616 loss: 1.7616 2022/08/02 19:07:56 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 1.0000e-02 eta: 1 day, 9:19:22 time: 0.2924 data_time: 0.0264 memory: 8198 grad_norm: 4.9996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8180 loss: 1.8180 2022/08/02 19:08:02 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 1.0000e-02 eta: 1 day, 9:19:16 time: 0.2831 data_time: 0.0200 memory: 8198 grad_norm: 4.9951 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8069 loss: 1.8069 2022/08/02 19:08:08 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 1.0000e-02 eta: 1 day, 9:19:13 time: 0.3032 data_time: 0.0197 memory: 8198 grad_norm: 5.0709 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9429 loss: 1.9429 2022/08/02 19:08:13 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 1.0000e-02 eta: 1 day, 9:19:07 time: 0.2813 data_time: 0.0226 memory: 8198 grad_norm: 4.8805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9013 loss: 1.9013 2022/08/02 19:08:19 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 1.0000e-02 eta: 1 day, 9:19:01 time: 0.2805 data_time: 0.0234 memory: 8198 grad_norm: 4.8902 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8598 loss: 1.8598 2022/08/02 19:08:25 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 1.0000e-02 eta: 1 day, 9:18:55 time: 0.2849 data_time: 0.0227 memory: 8198 grad_norm: 4.9800 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9614 loss: 1.9614 2022/08/02 19:08:30 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 1.0000e-02 eta: 1 day, 9:18:49 time: 0.2830 data_time: 0.0207 memory: 8198 grad_norm: 4.9166 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7646 loss: 1.7646 2022/08/02 19:08:36 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 1.0000e-02 eta: 1 day, 9:18:42 time: 0.2789 data_time: 0.0223 memory: 8198 grad_norm: 4.9272 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8957 loss: 1.8957 2022/08/02 19:08:42 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 1.0000e-02 eta: 1 day, 9:18:36 time: 0.2842 data_time: 0.0250 memory: 8198 grad_norm: 4.8425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8605 loss: 1.8605 2022/08/02 19:08:47 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 1.0000e-02 eta: 1 day, 9:18:30 time: 0.2829 data_time: 0.0225 memory: 8198 grad_norm: 4.9724 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0276 loss: 2.0276 2022/08/02 19:08:53 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 1.0000e-02 eta: 1 day, 9:18:24 time: 0.2817 data_time: 0.0223 memory: 8198 grad_norm: 4.8613 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7542 loss: 1.7542 2022/08/02 19:08:59 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 1.0000e-02 eta: 1 day, 9:18:18 time: 0.2807 data_time: 0.0197 memory: 8198 grad_norm: 5.0045 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8671 loss: 1.8671 2022/08/02 19:09:04 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 1.0000e-02 eta: 1 day, 9:18:12 time: 0.2867 data_time: 0.0220 memory: 8198 grad_norm: 5.0970 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8262 loss: 1.8262 2022/08/02 19:09:10 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 1.0000e-02 eta: 1 day, 9:18:07 time: 0.2890 data_time: 0.0225 memory: 8198 grad_norm: 4.9980 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8930 loss: 1.8930 2022/08/02 19:09:16 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 1.0000e-02 eta: 1 day, 9:18:01 time: 0.2802 data_time: 0.0268 memory: 8198 grad_norm: 4.9442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8682 loss: 1.8682 2022/08/02 19:09:21 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 1.0000e-02 eta: 1 day, 9:17:55 time: 0.2814 data_time: 0.0213 memory: 8198 grad_norm: 4.9556 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7045 loss: 1.7045 2022/08/02 19:09:27 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 1.0000e-02 eta: 1 day, 9:17:48 time: 0.2795 data_time: 0.0231 memory: 8198 grad_norm: 4.9639 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0591 loss: 2.0591 2022/08/02 19:09:33 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 1.0000e-02 eta: 1 day, 9:17:45 time: 0.3004 data_time: 0.0237 memory: 8198 grad_norm: 4.8373 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8756 loss: 1.8756 2022/08/02 19:09:39 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 1.0000e-02 eta: 1 day, 9:17:38 time: 0.2810 data_time: 0.0221 memory: 8198 grad_norm: 4.9757 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7633 loss: 1.7633 2022/08/02 19:09:44 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 1.0000e-02 eta: 1 day, 9:17:33 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 4.8603 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9344 loss: 1.9344 2022/08/02 19:09:50 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 1.0000e-02 eta: 1 day, 9:17:27 time: 0.2853 data_time: 0.0251 memory: 8198 grad_norm: 4.9318 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9106 loss: 1.9106 2022/08/02 19:09:56 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 1.0000e-02 eta: 1 day, 9:17:21 time: 0.2816 data_time: 0.0215 memory: 8198 grad_norm: 4.8781 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7936 loss: 1.7936 2022/08/02 19:10:01 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 1.0000e-02 eta: 1 day, 9:17:14 time: 0.2788 data_time: 0.0235 memory: 8198 grad_norm: 4.9321 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0907 loss: 2.0907 2022/08/02 19:10:07 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 1.0000e-02 eta: 1 day, 9:17:08 time: 0.2795 data_time: 0.0190 memory: 8198 grad_norm: 4.8504 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8126 loss: 1.8126 2022/08/02 19:10:13 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 1.0000e-02 eta: 1 day, 9:17:02 time: 0.2869 data_time: 0.0279 memory: 8198 grad_norm: 4.9754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0103 loss: 2.0103 2022/08/02 19:10:18 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 1.0000e-02 eta: 1 day, 9:16:56 time: 0.2818 data_time: 0.0199 memory: 8198 grad_norm: 4.8227 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5665 loss: 1.5665 2022/08/02 19:10:24 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 1.0000e-02 eta: 1 day, 9:16:51 time: 0.2863 data_time: 0.0260 memory: 8198 grad_norm: 5.0031 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8626 loss: 1.8626 2022/08/02 19:10:30 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 1.0000e-02 eta: 1 day, 9:16:45 time: 0.2897 data_time: 0.0259 memory: 8198 grad_norm: 4.9855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0312 loss: 2.0312 2022/08/02 19:10:36 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 1.0000e-02 eta: 1 day, 9:16:40 time: 0.2883 data_time: 0.0228 memory: 8198 grad_norm: 4.9965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0947 loss: 2.0947 2022/08/02 19:10:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:10:41 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 1.0000e-02 eta: 1 day, 9:16:35 time: 0.2909 data_time: 0.0261 memory: 8198 grad_norm: 4.9351 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8513 loss: 1.8513 2022/08/02 19:10:47 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 1.0000e-02 eta: 1 day, 9:16:29 time: 0.2804 data_time: 0.0239 memory: 8198 grad_norm: 4.9187 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9094 loss: 1.9094 2022/08/02 19:10:53 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 1.0000e-02 eta: 1 day, 9:16:23 time: 0.2859 data_time: 0.0246 memory: 8198 grad_norm: 4.8292 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6689 loss: 1.6689 2022/08/02 19:10:58 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 1.0000e-02 eta: 1 day, 9:16:17 time: 0.2843 data_time: 0.0263 memory: 8198 grad_norm: 4.9403 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0315 loss: 2.0315 2022/08/02 19:11:04 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 1.0000e-02 eta: 1 day, 9:16:12 time: 0.2846 data_time: 0.0205 memory: 8198 grad_norm: 4.9001 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8189 loss: 1.8189 2022/08/02 19:11:10 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 1.0000e-02 eta: 1 day, 9:16:06 time: 0.2879 data_time: 0.0240 memory: 8198 grad_norm: 4.8586 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0437 loss: 2.0437 2022/08/02 19:11:16 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 1.0000e-02 eta: 1 day, 9:16:07 time: 0.3316 data_time: 0.0182 memory: 8198 grad_norm: 4.8521 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9377 loss: 1.9377 2022/08/02 19:11:22 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 1.0000e-02 eta: 1 day, 9:16:01 time: 0.2863 data_time: 0.0239 memory: 8198 grad_norm: 4.9425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7501 loss: 1.7501 2022/08/02 19:11:28 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 1.0000e-02 eta: 1 day, 9:15:55 time: 0.2814 data_time: 0.0256 memory: 8198 grad_norm: 4.9418 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7798 loss: 1.7798 2022/08/02 19:11:34 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 1.0000e-02 eta: 1 day, 9:15:49 time: 0.2824 data_time: 0.0292 memory: 8198 grad_norm: 5.0497 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/08/02 19:11:39 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 1.0000e-02 eta: 1 day, 9:15:43 time: 0.2827 data_time: 0.0240 memory: 8198 grad_norm: 5.0190 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8428 loss: 1.8428 2022/08/02 19:11:45 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 1.0000e-02 eta: 1 day, 9:15:37 time: 0.2821 data_time: 0.0211 memory: 8198 grad_norm: 5.0283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0259 loss: 2.0259 2022/08/02 19:11:50 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 1.0000e-02 eta: 1 day, 9:15:31 time: 0.2822 data_time: 0.0205 memory: 8198 grad_norm: 5.1062 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9362 loss: 1.9362 2022/08/02 19:11:56 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 1.0000e-02 eta: 1 day, 9:15:24 time: 0.2806 data_time: 0.0221 memory: 8198 grad_norm: 4.9250 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8879 loss: 1.8879 2022/08/02 19:12:02 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 1.0000e-02 eta: 1 day, 9:15:19 time: 0.2834 data_time: 0.0248 memory: 8198 grad_norm: 4.9134 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8003 loss: 1.8003 2022/08/02 19:12:07 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 1.0000e-02 eta: 1 day, 9:15:13 time: 0.2833 data_time: 0.0241 memory: 8198 grad_norm: 4.8371 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7781 loss: 1.7781 2022/08/02 19:12:13 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 1.0000e-02 eta: 1 day, 9:15:08 time: 0.2904 data_time: 0.0272 memory: 8198 grad_norm: 4.9552 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9481 loss: 1.9481 2022/08/02 19:12:19 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 1.0000e-02 eta: 1 day, 9:15:01 time: 0.2801 data_time: 0.0254 memory: 8198 grad_norm: 4.9896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6890 loss: 1.6890 2022/08/02 19:12:25 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 1.0000e-02 eta: 1 day, 9:14:56 time: 0.2863 data_time: 0.0225 memory: 8198 grad_norm: 4.9655 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8540 loss: 1.8540 2022/08/02 19:12:30 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 1.0000e-02 eta: 1 day, 9:14:51 time: 0.2900 data_time: 0.0258 memory: 8198 grad_norm: 5.0053 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0908 loss: 2.0908 2022/08/02 19:12:36 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 1.0000e-02 eta: 1 day, 9:14:45 time: 0.2828 data_time: 0.0221 memory: 8198 grad_norm: 5.0809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9826 loss: 1.9826 2022/08/02 19:12:42 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 1.0000e-02 eta: 1 day, 9:14:39 time: 0.2836 data_time: 0.0239 memory: 8198 grad_norm: 4.9474 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7715 loss: 1.7715 2022/08/02 19:12:47 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 1.0000e-02 eta: 1 day, 9:14:32 time: 0.2801 data_time: 0.0233 memory: 8198 grad_norm: 4.8764 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7893 loss: 1.7893 2022/08/02 19:12:53 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 1.0000e-02 eta: 1 day, 9:14:27 time: 0.2858 data_time: 0.0300 memory: 8198 grad_norm: 4.9938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/02 19:12:59 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 1.0000e-02 eta: 1 day, 9:14:20 time: 0.2793 data_time: 0.0140 memory: 8198 grad_norm: 4.8579 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8574 loss: 1.8574 2022/08/02 19:13:04 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 1.0000e-02 eta: 1 day, 9:14:15 time: 0.2894 data_time: 0.0273 memory: 8198 grad_norm: 4.9779 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9288 loss: 1.9288 2022/08/02 19:13:10 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 1.0000e-02 eta: 1 day, 9:14:10 time: 0.2879 data_time: 0.0210 memory: 8198 grad_norm: 4.9706 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9767 loss: 1.9767 2022/08/02 19:13:16 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 1.0000e-02 eta: 1 day, 9:14:04 time: 0.2841 data_time: 0.0200 memory: 8198 grad_norm: 4.9754 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7878 loss: 1.7878 2022/08/02 19:13:22 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 1.0000e-02 eta: 1 day, 9:13:58 time: 0.2821 data_time: 0.0199 memory: 8198 grad_norm: 4.9651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/02 19:13:27 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 1.0000e-02 eta: 1 day, 9:13:51 time: 0.2815 data_time: 0.0233 memory: 8198 grad_norm: 4.8026 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8019 loss: 1.8019 2022/08/02 19:13:33 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 1.0000e-02 eta: 1 day, 9:13:46 time: 0.2845 data_time: 0.0240 memory: 8198 grad_norm: 4.9235 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7971 loss: 1.7971 2022/08/02 19:13:39 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 1.0000e-02 eta: 1 day, 9:13:41 time: 0.2927 data_time: 0.0277 memory: 8198 grad_norm: 4.8940 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7792 loss: 1.7792 2022/08/02 19:13:44 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 1.0000e-02 eta: 1 day, 9:13:35 time: 0.2827 data_time: 0.0200 memory: 8198 grad_norm: 4.8252 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0094 loss: 2.0094 2022/08/02 19:13:50 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 1.0000e-02 eta: 1 day, 9:13:29 time: 0.2859 data_time: 0.0206 memory: 8198 grad_norm: 4.9433 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7731 loss: 1.7731 2022/08/02 19:13:56 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 1.0000e-02 eta: 1 day, 9:13:24 time: 0.2870 data_time: 0.0237 memory: 8198 grad_norm: 5.0878 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8997 loss: 1.8997 2022/08/02 19:14:02 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 1.0000e-02 eta: 1 day, 9:13:18 time: 0.2839 data_time: 0.0264 memory: 8198 grad_norm: 5.0070 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9293 loss: 1.9293 2022/08/02 19:14:07 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 1.0000e-02 eta: 1 day, 9:13:12 time: 0.2845 data_time: 0.0214 memory: 8198 grad_norm: 4.9653 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6649 loss: 1.6649 2022/08/02 19:14:13 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 1.0000e-02 eta: 1 day, 9:13:06 time: 0.2827 data_time: 0.0223 memory: 8198 grad_norm: 4.9153 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8318 loss: 1.8318 2022/08/02 19:14:19 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 1.0000e-02 eta: 1 day, 9:13:00 time: 0.2811 data_time: 0.0238 memory: 8198 grad_norm: 4.8474 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8892 loss: 1.8892 2022/08/02 19:14:24 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 1.0000e-02 eta: 1 day, 9:12:54 time: 0.2834 data_time: 0.0254 memory: 8198 grad_norm: 4.8852 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8834 loss: 1.8834 2022/08/02 19:14:31 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 1.0000e-02 eta: 1 day, 9:12:56 time: 0.3404 data_time: 0.0203 memory: 8198 grad_norm: 4.8800 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7145 loss: 1.7145 2022/08/02 19:14:37 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 1.0000e-02 eta: 1 day, 9:12:49 time: 0.2793 data_time: 0.0225 memory: 8198 grad_norm: 4.9763 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0060 loss: 2.0060 2022/08/02 19:14:42 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 1.0000e-02 eta: 1 day, 9:12:44 time: 0.2898 data_time: 0.0236 memory: 8198 grad_norm: 4.9116 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6885 loss: 1.6885 2022/08/02 19:14:49 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 1.0000e-02 eta: 1 day, 9:12:41 time: 0.3060 data_time: 0.0294 memory: 8198 grad_norm: 4.8029 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9388 loss: 1.9388 2022/08/02 19:14:54 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 1.0000e-02 eta: 1 day, 9:12:36 time: 0.2889 data_time: 0.0237 memory: 8198 grad_norm: 4.9927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6406 loss: 1.6406 2022/08/02 19:15:00 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 1.0000e-02 eta: 1 day, 9:12:31 time: 0.2881 data_time: 0.0268 memory: 8198 grad_norm: 5.0050 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8904 loss: 1.8904 2022/08/02 19:15:06 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 1.0000e-02 eta: 1 day, 9:12:24 time: 0.2813 data_time: 0.0257 memory: 8198 grad_norm: 4.9447 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.6965 loss: 1.6965 2022/08/02 19:15:11 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 1.0000e-02 eta: 1 day, 9:12:19 time: 0.2860 data_time: 0.0214 memory: 8198 grad_norm: 5.0296 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9215 loss: 1.9215 2022/08/02 19:15:17 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 1.0000e-02 eta: 1 day, 9:12:13 time: 0.2842 data_time: 0.0258 memory: 8198 grad_norm: 5.1017 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9343 loss: 1.9343 2022/08/02 19:15:23 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 1.0000e-02 eta: 1 day, 9:12:08 time: 0.2896 data_time: 0.0225 memory: 8198 grad_norm: 5.0032 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0153 loss: 2.0153 2022/08/02 19:15:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:15:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:15:28 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 1.0000e-02 eta: 1 day, 9:12:08 time: 0.2544 data_time: 0.0157 memory: 8198 grad_norm: 5.0743 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.9323 loss: 1.9323 2022/08/02 19:15:37 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 1.0000e-02 eta: 1 day, 9:11:40 time: 0.4353 data_time: 0.1146 memory: 8198 grad_norm: 4.8147 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8477 loss: 1.8477 2022/08/02 19:15:42 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 1.0000e-02 eta: 1 day, 9:11:34 time: 0.2839 data_time: 0.0190 memory: 8198 grad_norm: 4.8155 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/08/02 19:15:48 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 1.0000e-02 eta: 1 day, 9:11:29 time: 0.2848 data_time: 0.0248 memory: 8198 grad_norm: 4.9940 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6838 loss: 1.6838 2022/08/02 19:15:54 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 1.0000e-02 eta: 1 day, 9:11:23 time: 0.2854 data_time: 0.0206 memory: 8198 grad_norm: 4.9719 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0275 loss: 2.0275 2022/08/02 19:15:59 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 1.0000e-02 eta: 1 day, 9:11:17 time: 0.2825 data_time: 0.0217 memory: 8198 grad_norm: 4.9531 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7985 loss: 1.7985 2022/08/02 19:16:05 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 1.0000e-02 eta: 1 day, 9:11:11 time: 0.2800 data_time: 0.0231 memory: 8198 grad_norm: 4.8629 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7067 loss: 1.7067 2022/08/02 19:16:11 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 1.0000e-02 eta: 1 day, 9:11:06 time: 0.2906 data_time: 0.0290 memory: 8198 grad_norm: 4.7387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8824 loss: 1.8824 2022/08/02 19:16:16 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 1.0000e-02 eta: 1 day, 9:11:00 time: 0.2831 data_time: 0.0216 memory: 8198 grad_norm: 4.9111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6739 loss: 1.6739 2022/08/02 19:16:22 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 1.0000e-02 eta: 1 day, 9:10:54 time: 0.2854 data_time: 0.0246 memory: 8198 grad_norm: 4.9005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7013 loss: 1.7013 2022/08/02 19:16:28 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 1.0000e-02 eta: 1 day, 9:10:48 time: 0.2828 data_time: 0.0212 memory: 8198 grad_norm: 5.1453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9451 loss: 1.9451 2022/08/02 19:16:33 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 1.0000e-02 eta: 1 day, 9:10:42 time: 0.2828 data_time: 0.0248 memory: 8198 grad_norm: 4.9736 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0025 loss: 2.0025 2022/08/02 19:16:39 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 1.0000e-02 eta: 1 day, 9:10:36 time: 0.2818 data_time: 0.0230 memory: 8198 grad_norm: 4.9213 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8904 loss: 1.8904 2022/08/02 19:16:45 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 1.0000e-02 eta: 1 day, 9:10:29 time: 0.2814 data_time: 0.0241 memory: 8198 grad_norm: 5.0114 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1057 loss: 2.1057 2022/08/02 19:16:50 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 1.0000e-02 eta: 1 day, 9:10:23 time: 0.2824 data_time: 0.0194 memory: 8198 grad_norm: 4.9625 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8474 loss: 1.8474 2022/08/02 19:16:56 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 1.0000e-02 eta: 1 day, 9:10:18 time: 0.2872 data_time: 0.0270 memory: 8198 grad_norm: 5.0007 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7792 loss: 1.7792 2022/08/02 19:17:02 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 1.0000e-02 eta: 1 day, 9:10:12 time: 0.2829 data_time: 0.0232 memory: 8198 grad_norm: 4.8762 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7685 loss: 1.7685 2022/08/02 19:17:07 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 1.0000e-02 eta: 1 day, 9:10:06 time: 0.2831 data_time: 0.0236 memory: 8198 grad_norm: 4.9697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8334 loss: 1.8334 2022/08/02 19:17:13 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 1.0000e-02 eta: 1 day, 9:10:00 time: 0.2816 data_time: 0.0198 memory: 8198 grad_norm: 4.8208 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6541 loss: 1.6541 2022/08/02 19:17:19 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 1.0000e-02 eta: 1 day, 9:09:54 time: 0.2877 data_time: 0.0244 memory: 8198 grad_norm: 4.9050 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6934 loss: 1.6934 2022/08/02 19:17:25 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 1.0000e-02 eta: 1 day, 9:09:49 time: 0.2875 data_time: 0.0253 memory: 8198 grad_norm: 4.9291 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7702 loss: 1.7702 2022/08/02 19:17:30 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 1.0000e-02 eta: 1 day, 9:09:43 time: 0.2805 data_time: 0.0196 memory: 8198 grad_norm: 4.9167 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/08/02 19:17:36 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 1.0000e-02 eta: 1 day, 9:09:37 time: 0.2864 data_time: 0.0227 memory: 8198 grad_norm: 4.8468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8612 loss: 1.8612 2022/08/02 19:17:42 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 1.0000e-02 eta: 1 day, 9:09:31 time: 0.2845 data_time: 0.0258 memory: 8198 grad_norm: 4.8763 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8010 loss: 1.8010 2022/08/02 19:17:47 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 1.0000e-02 eta: 1 day, 9:09:25 time: 0.2837 data_time: 0.0208 memory: 8198 grad_norm: 4.9362 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8265 loss: 1.8265 2022/08/02 19:17:53 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 1.0000e-02 eta: 1 day, 9:09:21 time: 0.2941 data_time: 0.0313 memory: 8198 grad_norm: 4.9363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7491 loss: 1.7491 2022/08/02 19:17:59 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 1.0000e-02 eta: 1 day, 9:09:16 time: 0.2898 data_time: 0.0204 memory: 8198 grad_norm: 4.8310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7269 loss: 1.7269 2022/08/02 19:18:05 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 1.0000e-02 eta: 1 day, 9:09:11 time: 0.2890 data_time: 0.0227 memory: 8198 grad_norm: 5.0676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9897 loss: 1.9897 2022/08/02 19:18:11 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 1.0000e-02 eta: 1 day, 9:09:05 time: 0.2869 data_time: 0.0190 memory: 8198 grad_norm: 4.9046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9220 loss: 1.9220 2022/08/02 19:18:16 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 1.0000e-02 eta: 1 day, 9:08:59 time: 0.2816 data_time: 0.0219 memory: 8198 grad_norm: 5.0868 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1151 loss: 2.1151 2022/08/02 19:18:22 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 1.0000e-02 eta: 1 day, 9:08:55 time: 0.2985 data_time: 0.0218 memory: 8198 grad_norm: 4.9699 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5892 loss: 1.5892 2022/08/02 19:18:28 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 1.0000e-02 eta: 1 day, 9:08:48 time: 0.2780 data_time: 0.0219 memory: 8198 grad_norm: 4.8355 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8564 loss: 1.8564 2022/08/02 19:18:33 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 1.0000e-02 eta: 1 day, 9:08:43 time: 0.2856 data_time: 0.0278 memory: 8198 grad_norm: 4.9699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9873 loss: 1.9873 2022/08/02 19:18:39 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 1.0000e-02 eta: 1 day, 9:08:37 time: 0.2816 data_time: 0.0258 memory: 8198 grad_norm: 4.9488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8363 loss: 1.8363 2022/08/02 19:18:45 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 1.0000e-02 eta: 1 day, 9:08:32 time: 0.2923 data_time: 0.0209 memory: 8198 grad_norm: 4.8378 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7587 loss: 1.7587 2022/08/02 19:18:51 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 1.0000e-02 eta: 1 day, 9:08:26 time: 0.2849 data_time: 0.0245 memory: 8198 grad_norm: 4.8278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7417 loss: 1.7417 2022/08/02 19:18:56 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 1.0000e-02 eta: 1 day, 9:08:20 time: 0.2815 data_time: 0.0191 memory: 8198 grad_norm: 5.1384 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9342 loss: 1.9342 2022/08/02 19:19:02 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 1.0000e-02 eta: 1 day, 9:08:14 time: 0.2864 data_time: 0.0251 memory: 8198 grad_norm: 4.9960 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8837 loss: 1.8837 2022/08/02 19:19:08 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 1.0000e-02 eta: 1 day, 9:08:11 time: 0.3000 data_time: 0.0205 memory: 8198 grad_norm: 4.8794 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8484 loss: 1.8484 2022/08/02 19:19:14 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 1.0000e-02 eta: 1 day, 9:08:05 time: 0.2832 data_time: 0.0251 memory: 8198 grad_norm: 4.9162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6621 loss: 1.6621 2022/08/02 19:19:19 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 1.0000e-02 eta: 1 day, 9:07:59 time: 0.2834 data_time: 0.0232 memory: 8198 grad_norm: 4.9987 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7137 loss: 1.7137 2022/08/02 19:19:25 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 1.0000e-02 eta: 1 day, 9:07:53 time: 0.2858 data_time: 0.0246 memory: 8198 grad_norm: 5.0741 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9131 loss: 1.9131 2022/08/02 19:19:31 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 1.0000e-02 eta: 1 day, 9:07:47 time: 0.2808 data_time: 0.0245 memory: 8198 grad_norm: 4.9717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7323 loss: 1.7323 2022/08/02 19:19:36 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 1.0000e-02 eta: 1 day, 9:07:41 time: 0.2820 data_time: 0.0214 memory: 8198 grad_norm: 4.9303 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8173 loss: 1.8173 2022/08/02 19:19:42 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 1.0000e-02 eta: 1 day, 9:07:36 time: 0.2915 data_time: 0.0218 memory: 8198 grad_norm: 4.8817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7542 loss: 1.7542 2022/08/02 19:19:48 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 1.0000e-02 eta: 1 day, 9:07:30 time: 0.2826 data_time: 0.0261 memory: 8198 grad_norm: 5.1550 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0056 loss: 2.0056 2022/08/02 19:19:53 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 1.0000e-02 eta: 1 day, 9:07:23 time: 0.2790 data_time: 0.0194 memory: 8198 grad_norm: 4.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9161 loss: 1.9161 2022/08/02 19:19:59 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 1.0000e-02 eta: 1 day, 9:07:17 time: 0.2820 data_time: 0.0203 memory: 8198 grad_norm: 4.9930 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8936 loss: 1.8936 2022/08/02 19:20:05 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 1.0000e-02 eta: 1 day, 9:07:12 time: 0.2879 data_time: 0.0252 memory: 8198 grad_norm: 4.8345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6880 loss: 1.6880 2022/08/02 19:20:11 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 1.0000e-02 eta: 1 day, 9:07:06 time: 0.2833 data_time: 0.0255 memory: 8198 grad_norm: 4.9456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6521 loss: 1.6521 2022/08/02 19:20:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:20:16 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 1.0000e-02 eta: 1 day, 9:07:00 time: 0.2873 data_time: 0.0238 memory: 8198 grad_norm: 5.0069 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9033 loss: 1.9033 2022/08/02 19:20:22 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 1.0000e-02 eta: 1 day, 9:06:55 time: 0.2879 data_time: 0.0214 memory: 8198 grad_norm: 4.8856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9087 loss: 1.9087 2022/08/02 19:20:28 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 1.0000e-02 eta: 1 day, 9:06:48 time: 0.2794 data_time: 0.0181 memory: 8198 grad_norm: 4.9362 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8358 loss: 1.8358 2022/08/02 19:20:33 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 1.0000e-02 eta: 1 day, 9:06:42 time: 0.2820 data_time: 0.0273 memory: 8198 grad_norm: 5.0597 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9392 loss: 1.9392 2022/08/02 19:20:39 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 1.0000e-02 eta: 1 day, 9:06:36 time: 0.2800 data_time: 0.0203 memory: 8198 grad_norm: 5.0292 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9137 loss: 1.9137 2022/08/02 19:20:45 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 1.0000e-02 eta: 1 day, 9:06:30 time: 0.2854 data_time: 0.0288 memory: 8198 grad_norm: 4.9930 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8710 loss: 1.8710 2022/08/02 19:20:50 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 1.0000e-02 eta: 1 day, 9:06:24 time: 0.2786 data_time: 0.0223 memory: 8198 grad_norm: 4.9506 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0828 loss: 2.0828 2022/08/02 19:20:56 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 1.0000e-02 eta: 1 day, 9:06:18 time: 0.2832 data_time: 0.0230 memory: 8198 grad_norm: 4.8874 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8316 loss: 1.8316 2022/08/02 19:21:02 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 1.0000e-02 eta: 1 day, 9:06:11 time: 0.2811 data_time: 0.0231 memory: 8198 grad_norm: 4.9091 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7060 loss: 1.7060 2022/08/02 19:21:07 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 1.0000e-02 eta: 1 day, 9:06:05 time: 0.2829 data_time: 0.0243 memory: 8198 grad_norm: 4.7870 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7668 loss: 1.7668 2022/08/02 19:21:13 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 1.0000e-02 eta: 1 day, 9:06:00 time: 0.2888 data_time: 0.0224 memory: 8198 grad_norm: 4.8988 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8473 loss: 1.8473 2022/08/02 19:21:19 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 1.0000e-02 eta: 1 day, 9:05:55 time: 0.2904 data_time: 0.0227 memory: 8198 grad_norm: 5.1615 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5913 loss: 1.5913 2022/08/02 19:21:24 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 1.0000e-02 eta: 1 day, 9:05:49 time: 0.2793 data_time: 0.0239 memory: 8198 grad_norm: 4.9978 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9105 loss: 1.9105 2022/08/02 19:21:30 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 1.0000e-02 eta: 1 day, 9:05:42 time: 0.2791 data_time: 0.0256 memory: 8198 grad_norm: 4.9263 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8687 loss: 1.8687 2022/08/02 19:21:36 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 1.0000e-02 eta: 1 day, 9:05:37 time: 0.2875 data_time: 0.0196 memory: 8198 grad_norm: 4.9330 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9027 loss: 1.9027 2022/08/02 19:21:41 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 1.0000e-02 eta: 1 day, 9:05:31 time: 0.2812 data_time: 0.0266 memory: 8198 grad_norm: 4.9980 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8749 loss: 1.8749 2022/08/02 19:21:47 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 1.0000e-02 eta: 1 day, 9:05:25 time: 0.2837 data_time: 0.0244 memory: 8198 grad_norm: 4.8708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7581 loss: 1.7581 2022/08/02 19:21:53 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 1.0000e-02 eta: 1 day, 9:05:19 time: 0.2871 data_time: 0.0268 memory: 8198 grad_norm: 5.0773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7711 loss: 1.7711 2022/08/02 19:21:58 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 1.0000e-02 eta: 1 day, 9:05:13 time: 0.2810 data_time: 0.0246 memory: 8198 grad_norm: 4.8854 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6278 loss: 1.6278 2022/08/02 19:22:04 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 1.0000e-02 eta: 1 day, 9:05:07 time: 0.2816 data_time: 0.0260 memory: 8198 grad_norm: 5.0214 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 1.9734 loss: 1.9734 2022/08/02 19:22:10 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 1.0000e-02 eta: 1 day, 9:05:01 time: 0.2853 data_time: 0.0204 memory: 8198 grad_norm: 4.8393 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6910 loss: 1.6910 2022/08/02 19:22:15 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 1.0000e-02 eta: 1 day, 9:04:55 time: 0.2819 data_time: 0.0242 memory: 8198 grad_norm: 5.0451 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7752 loss: 1.7752 2022/08/02 19:22:21 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 1.0000e-02 eta: 1 day, 9:04:50 time: 0.2874 data_time: 0.0229 memory: 8198 grad_norm: 5.1403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9124 loss: 1.9124 2022/08/02 19:22:27 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 1.0000e-02 eta: 1 day, 9:04:43 time: 0.2804 data_time: 0.0245 memory: 8198 grad_norm: 4.9250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8950 loss: 1.8950 2022/08/02 19:22:33 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 1.0000e-02 eta: 1 day, 9:04:40 time: 0.3043 data_time: 0.0179 memory: 8198 grad_norm: 4.9086 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5584 loss: 1.5584 2022/08/02 19:22:38 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 1.0000e-02 eta: 1 day, 9:04:33 time: 0.2779 data_time: 0.0204 memory: 8198 grad_norm: 5.0608 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7773 loss: 1.7773 2022/08/02 19:22:44 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 1.0000e-02 eta: 1 day, 9:04:28 time: 0.2857 data_time: 0.0296 memory: 8198 grad_norm: 5.0674 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8526 loss: 1.8526 2022/08/02 19:22:50 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 1.0000e-02 eta: 1 day, 9:04:21 time: 0.2794 data_time: 0.0203 memory: 8198 grad_norm: 5.0040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9247 loss: 1.9247 2022/08/02 19:22:56 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 1.0000e-02 eta: 1 day, 9:04:22 time: 0.3365 data_time: 0.0223 memory: 8198 grad_norm: 4.9103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7427 loss: 1.7427 2022/08/02 19:23:02 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 1.0000e-02 eta: 1 day, 9:04:17 time: 0.2907 data_time: 0.0202 memory: 8198 grad_norm: 4.8608 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9102 loss: 1.9102 2022/08/02 19:23:08 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 1.0000e-02 eta: 1 day, 9:04:13 time: 0.2947 data_time: 0.0212 memory: 8198 grad_norm: 4.9926 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7294 loss: 1.7294 2022/08/02 19:23:14 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 1.0000e-02 eta: 1 day, 9:04:08 time: 0.2941 data_time: 0.0236 memory: 8198 grad_norm: 4.8316 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6844 loss: 1.6844 2022/08/02 19:23:20 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 1.0000e-02 eta: 1 day, 9:04:02 time: 0.2823 data_time: 0.0205 memory: 8198 grad_norm: 4.9825 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9997 loss: 1.9997 2022/08/02 19:23:25 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 1.0000e-02 eta: 1 day, 9:03:57 time: 0.2865 data_time: 0.0262 memory: 8198 grad_norm: 4.8792 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1238 loss: 2.1238 2022/08/02 19:23:31 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 1.0000e-02 eta: 1 day, 9:03:51 time: 0.2847 data_time: 0.0214 memory: 8198 grad_norm: 5.0800 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0348 loss: 2.0348 2022/08/02 19:23:37 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 1.0000e-02 eta: 1 day, 9:03:45 time: 0.2835 data_time: 0.0181 memory: 8198 grad_norm: 4.9586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/08/02 19:23:43 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 1.0000e-02 eta: 1 day, 9:03:39 time: 0.2835 data_time: 0.0181 memory: 8198 grad_norm: 4.8829 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7564 loss: 1.7564 2022/08/02 19:23:48 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 1.0000e-02 eta: 1 day, 9:03:32 time: 0.2790 data_time: 0.0200 memory: 8198 grad_norm: 4.9224 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9295 loss: 1.9295 2022/08/02 19:23:54 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 1.0000e-02 eta: 1 day, 9:03:27 time: 0.2877 data_time: 0.0252 memory: 8198 grad_norm: 4.9313 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7637 loss: 1.7637 2022/08/02 19:23:59 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 1.0000e-02 eta: 1 day, 9:03:21 time: 0.2785 data_time: 0.0176 memory: 8198 grad_norm: 4.8915 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6960 loss: 1.6960 2022/08/02 19:24:05 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 1.0000e-02 eta: 1 day, 9:03:15 time: 0.2859 data_time: 0.0201 memory: 8198 grad_norm: 4.8694 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0329 loss: 2.0329 2022/08/02 19:24:11 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 1.0000e-02 eta: 1 day, 9:03:09 time: 0.2824 data_time: 0.0230 memory: 8198 grad_norm: 5.0276 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9235 loss: 1.9235 2022/08/02 19:24:17 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 1.0000e-02 eta: 1 day, 9:03:05 time: 0.2968 data_time: 0.0436 memory: 8198 grad_norm: 4.9486 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7342 loss: 1.7342 2022/08/02 19:24:22 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 1.0000e-02 eta: 1 day, 9:02:59 time: 0.2838 data_time: 0.0253 memory: 8198 grad_norm: 4.9526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7924 loss: 1.7924 2022/08/02 19:24:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:24:27 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 1.0000e-02 eta: 1 day, 9:02:59 time: 0.2539 data_time: 0.0151 memory: 8198 grad_norm: 4.9657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9254 loss: 1.9254 2022/08/02 19:24:36 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 1.0000e-02 eta: 1 day, 9:02:29 time: 0.4095 data_time: 0.1061 memory: 8198 grad_norm: 4.9111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7568 loss: 1.7568 2022/08/02 19:24:41 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 1.0000e-02 eta: 1 day, 9:02:23 time: 0.2889 data_time: 0.0192 memory: 8198 grad_norm: 4.9505 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7761 loss: 1.7761 2022/08/02 19:24:47 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 1.0000e-02 eta: 1 day, 9:02:20 time: 0.3038 data_time: 0.0245 memory: 8198 grad_norm: 4.9254 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6125 loss: 1.6125 2022/08/02 19:24:54 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 1.0000e-02 eta: 1 day, 9:02:18 time: 0.3163 data_time: 0.0240 memory: 8198 grad_norm: 4.8666 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7797 loss: 1.7797 2022/08/02 19:25:00 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 1.0000e-02 eta: 1 day, 9:02:14 time: 0.2973 data_time: 0.0221 memory: 8198 grad_norm: 4.9193 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6828 loss: 1.6828 2022/08/02 19:25:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:25:05 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 1.0000e-02 eta: 1 day, 9:02:08 time: 0.2840 data_time: 0.0227 memory: 8198 grad_norm: 4.9432 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8426 loss: 1.8426 2022/08/02 19:25:11 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 1.0000e-02 eta: 1 day, 9:02:03 time: 0.2842 data_time: 0.0248 memory: 8198 grad_norm: 4.9361 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8021 loss: 1.8021 2022/08/02 19:25:17 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 1.0000e-02 eta: 1 day, 9:01:58 time: 0.2922 data_time: 0.0189 memory: 8198 grad_norm: 4.7946 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8347 loss: 1.8347 2022/08/02 19:25:23 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 1.0000e-02 eta: 1 day, 9:01:52 time: 0.2816 data_time: 0.0260 memory: 8198 grad_norm: 4.8079 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6584 loss: 1.6584 2022/08/02 19:25:28 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 1.0000e-02 eta: 1 day, 9:01:47 time: 0.2910 data_time: 0.0229 memory: 8198 grad_norm: 5.0491 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6501 loss: 1.6501 2022/08/02 19:25:34 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 1.0000e-02 eta: 1 day, 9:01:41 time: 0.2871 data_time: 0.0179 memory: 8198 grad_norm: 4.9642 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8811 loss: 1.8811 2022/08/02 19:25:40 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 1.0000e-02 eta: 1 day, 9:01:35 time: 0.2825 data_time: 0.0225 memory: 8198 grad_norm: 4.9285 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8579 loss: 1.8579 2022/08/02 19:25:45 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 1.0000e-02 eta: 1 day, 9:01:29 time: 0.2843 data_time: 0.0239 memory: 8198 grad_norm: 4.9766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8824 loss: 1.8824 2022/08/02 19:25:51 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 1.0000e-02 eta: 1 day, 9:01:24 time: 0.2858 data_time: 0.0304 memory: 8198 grad_norm: 4.9435 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8209 loss: 1.8209 2022/08/02 19:25:57 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 1.0000e-02 eta: 1 day, 9:01:18 time: 0.2848 data_time: 0.0223 memory: 8198 grad_norm: 4.9723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8607 loss: 1.8607 2022/08/02 19:26:03 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 1.0000e-02 eta: 1 day, 9:01:12 time: 0.2798 data_time: 0.0245 memory: 8198 grad_norm: 5.0029 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8209 loss: 1.8209 2022/08/02 19:26:08 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 1.0000e-02 eta: 1 day, 9:01:06 time: 0.2864 data_time: 0.0225 memory: 8198 grad_norm: 4.9236 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7096 loss: 1.7096 2022/08/02 19:26:14 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 1.0000e-02 eta: 1 day, 9:01:01 time: 0.2913 data_time: 0.0254 memory: 8198 grad_norm: 5.1410 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7506 loss: 1.7506 2022/08/02 19:26:20 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 1.0000e-02 eta: 1 day, 9:00:55 time: 0.2819 data_time: 0.0274 memory: 8198 grad_norm: 5.0162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/08/02 19:26:26 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 1.0000e-02 eta: 1 day, 9:00:50 time: 0.2906 data_time: 0.0245 memory: 8198 grad_norm: 4.9648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8450 loss: 1.8450 2022/08/02 19:26:31 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 1.0000e-02 eta: 1 day, 9:00:44 time: 0.2803 data_time: 0.0200 memory: 8198 grad_norm: 4.9613 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/08/02 19:26:37 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 1.0000e-02 eta: 1 day, 9:00:38 time: 0.2828 data_time: 0.0216 memory: 8198 grad_norm: 4.8466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8053 loss: 1.8053 2022/08/02 19:26:43 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 1.0000e-02 eta: 1 day, 9:00:33 time: 0.2958 data_time: 0.0257 memory: 8198 grad_norm: 5.0478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7666 loss: 1.7666 2022/08/02 19:26:48 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 1.0000e-02 eta: 1 day, 9:00:27 time: 0.2820 data_time: 0.0214 memory: 8198 grad_norm: 4.8445 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7610 loss: 1.7610 2022/08/02 19:26:54 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 1.0000e-02 eta: 1 day, 9:00:21 time: 0.2817 data_time: 0.0194 memory: 8198 grad_norm: 5.0749 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8124 loss: 1.8124 2022/08/02 19:27:00 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 1.0000e-02 eta: 1 day, 9:00:15 time: 0.2865 data_time: 0.0236 memory: 8198 grad_norm: 5.0027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8493 loss: 1.8493 2022/08/02 19:27:05 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 1.0000e-02 eta: 1 day, 9:00:10 time: 0.2851 data_time: 0.0255 memory: 8198 grad_norm: 4.9497 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8701 loss: 1.8701 2022/08/02 19:27:11 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 1.0000e-02 eta: 1 day, 9:00:04 time: 0.2859 data_time: 0.0274 memory: 8198 grad_norm: 4.9696 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5979 loss: 1.5979 2022/08/02 19:27:17 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 1.0000e-02 eta: 1 day, 8:59:58 time: 0.2857 data_time: 0.0274 memory: 8198 grad_norm: 4.9242 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0330 loss: 2.0330 2022/08/02 19:27:23 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 1.0000e-02 eta: 1 day, 8:59:53 time: 0.2878 data_time: 0.0226 memory: 8198 grad_norm: 4.8384 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8529 loss: 1.8529 2022/08/02 19:27:28 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 1.0000e-02 eta: 1 day, 8:59:48 time: 0.2864 data_time: 0.0241 memory: 8198 grad_norm: 4.8615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/08/02 19:27:34 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 1.0000e-02 eta: 1 day, 8:59:42 time: 0.2824 data_time: 0.0221 memory: 8198 grad_norm: 5.0232 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8716 loss: 1.8716 2022/08/02 19:27:40 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 1.0000e-02 eta: 1 day, 8:59:35 time: 0.2816 data_time: 0.0220 memory: 8198 grad_norm: 4.9825 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8036 loss: 1.8036 2022/08/02 19:27:45 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 1.0000e-02 eta: 1 day, 8:59:29 time: 0.2787 data_time: 0.0221 memory: 8198 grad_norm: 4.9196 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9422 loss: 1.9422 2022/08/02 19:27:51 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 1.0000e-02 eta: 1 day, 8:59:24 time: 0.2951 data_time: 0.0277 memory: 8198 grad_norm: 4.9809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8022 loss: 1.8022 2022/08/02 19:27:57 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 1.0000e-02 eta: 1 day, 8:59:18 time: 0.2810 data_time: 0.0170 memory: 8198 grad_norm: 4.9774 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9170 loss: 1.9170 2022/08/02 19:28:03 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 1.0000e-02 eta: 1 day, 8:59:13 time: 0.2881 data_time: 0.0296 memory: 8198 grad_norm: 5.0264 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8865 loss: 1.8865 2022/08/02 19:28:08 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 1.0000e-02 eta: 1 day, 8:59:07 time: 0.2837 data_time: 0.0215 memory: 8198 grad_norm: 4.9278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8199 loss: 1.8199 2022/08/02 19:28:14 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 1.0000e-02 eta: 1 day, 8:59:02 time: 0.2884 data_time: 0.0197 memory: 8198 grad_norm: 4.9258 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6680 loss: 1.6680 2022/08/02 19:28:24 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 1.0000e-02 eta: 1 day, 8:59:24 time: 0.5003 data_time: 0.0156 memory: 8198 grad_norm: 5.0784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7030 loss: 1.7030 2022/08/02 19:28:30 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 1.0000e-02 eta: 1 day, 8:59:18 time: 0.2897 data_time: 0.0266 memory: 8198 grad_norm: 5.0188 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7729 loss: 1.7729 2022/08/02 19:28:36 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 1.0000e-02 eta: 1 day, 8:59:13 time: 0.2853 data_time: 0.0233 memory: 8198 grad_norm: 5.0224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8401 loss: 1.8401 2022/08/02 19:28:41 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 1.0000e-02 eta: 1 day, 8:59:07 time: 0.2845 data_time: 0.0256 memory: 8198 grad_norm: 4.9011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8003 loss: 1.8003 2022/08/02 19:28:47 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 1.0000e-02 eta: 1 day, 8:59:01 time: 0.2801 data_time: 0.0220 memory: 8198 grad_norm: 4.9819 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7459 loss: 1.7459 2022/08/02 19:28:53 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 1.0000e-02 eta: 1 day, 8:58:57 time: 0.3006 data_time: 0.0340 memory: 8198 grad_norm: 5.0462 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7154 loss: 1.7154 2022/08/02 19:28:58 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 1.0000e-02 eta: 1 day, 8:58:50 time: 0.2785 data_time: 0.0222 memory: 8198 grad_norm: 5.0438 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9452 loss: 1.9452 2022/08/02 19:29:04 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 1.0000e-02 eta: 1 day, 8:58:45 time: 0.2885 data_time: 0.0257 memory: 8198 grad_norm: 5.0153 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8184 loss: 1.8184 2022/08/02 19:29:10 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 1.0000e-02 eta: 1 day, 8:58:39 time: 0.2833 data_time: 0.0227 memory: 8198 grad_norm: 4.9509 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6814 loss: 1.6814 2022/08/02 19:29:16 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 1.0000e-02 eta: 1 day, 8:58:33 time: 0.2817 data_time: 0.0223 memory: 8198 grad_norm: 4.9506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0218 loss: 2.0218 2022/08/02 19:29:21 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 1.0000e-02 eta: 1 day, 8:58:27 time: 0.2805 data_time: 0.0197 memory: 8198 grad_norm: 4.9798 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7826 loss: 1.7826 2022/08/02 19:29:27 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 1.0000e-02 eta: 1 day, 8:58:21 time: 0.2857 data_time: 0.0267 memory: 8198 grad_norm: 4.8963 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8800 loss: 1.8800 2022/08/02 19:29:33 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 1.0000e-02 eta: 1 day, 8:58:15 time: 0.2868 data_time: 0.0228 memory: 8198 grad_norm: 4.9464 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8977 loss: 1.8977 2022/08/02 19:29:38 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 1.0000e-02 eta: 1 day, 8:58:10 time: 0.2838 data_time: 0.0231 memory: 8198 grad_norm: 4.8764 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9012 loss: 1.9012 2022/08/02 19:29:44 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 1.0000e-02 eta: 1 day, 8:58:04 time: 0.2845 data_time: 0.0200 memory: 8198 grad_norm: 4.9464 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9357 loss: 1.9357 2022/08/02 19:29:50 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 1.0000e-02 eta: 1 day, 8:57:57 time: 0.2798 data_time: 0.0224 memory: 8198 grad_norm: 5.0497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8124 loss: 1.8124 2022/08/02 19:29:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:29:55 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 1.0000e-02 eta: 1 day, 8:57:51 time: 0.2787 data_time: 0.0204 memory: 8198 grad_norm: 4.9761 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8824 loss: 1.8824 2022/08/02 19:30:01 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 1.0000e-02 eta: 1 day, 8:57:45 time: 0.2865 data_time: 0.0238 memory: 8198 grad_norm: 5.0106 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8707 loss: 1.8707 2022/08/02 19:30:07 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 1.0000e-02 eta: 1 day, 8:57:40 time: 0.2851 data_time: 0.0245 memory: 8198 grad_norm: 4.9162 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9081 loss: 1.9081 2022/08/02 19:30:12 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 1.0000e-02 eta: 1 day, 8:57:34 time: 0.2839 data_time: 0.0286 memory: 8198 grad_norm: 5.0433 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7413 loss: 1.7413 2022/08/02 19:30:18 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 1.0000e-02 eta: 1 day, 8:57:28 time: 0.2836 data_time: 0.0235 memory: 8198 grad_norm: 5.0446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8217 loss: 1.8217 2022/08/02 19:30:24 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 1.0000e-02 eta: 1 day, 8:57:22 time: 0.2871 data_time: 0.0302 memory: 8198 grad_norm: 5.0439 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8146 loss: 1.8146 2022/08/02 19:30:29 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 1.0000e-02 eta: 1 day, 8:57:16 time: 0.2806 data_time: 0.0219 memory: 8198 grad_norm: 4.9056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9155 loss: 1.9155 2022/08/02 19:30:35 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 1.0000e-02 eta: 1 day, 8:57:10 time: 0.2803 data_time: 0.0250 memory: 8198 grad_norm: 4.9939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8145 loss: 1.8145 2022/08/02 19:30:41 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 1.0000e-02 eta: 1 day, 8:57:03 time: 0.2803 data_time: 0.0175 memory: 8198 grad_norm: 4.9440 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9384 loss: 1.9384 2022/08/02 19:30:46 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 1.0000e-02 eta: 1 day, 8:56:57 time: 0.2817 data_time: 0.0251 memory: 8198 grad_norm: 5.0930 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8098 loss: 1.8098 2022/08/02 19:30:52 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 1.0000e-02 eta: 1 day, 8:56:51 time: 0.2815 data_time: 0.0201 memory: 8198 grad_norm: 5.0650 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7722 loss: 1.7722 2022/08/02 19:30:58 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 1.0000e-02 eta: 1 day, 8:56:45 time: 0.2817 data_time: 0.0271 memory: 8198 grad_norm: 4.9621 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8010 loss: 1.8010 2022/08/02 19:31:04 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 1.0000e-02 eta: 1 day, 8:56:41 time: 0.3010 data_time: 0.0247 memory: 8198 grad_norm: 5.0495 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9180 loss: 1.9180 2022/08/02 19:31:09 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 1.0000e-02 eta: 1 day, 8:56:34 time: 0.2781 data_time: 0.0274 memory: 8198 grad_norm: 4.9851 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9168 loss: 1.9168 2022/08/02 19:31:15 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 1.0000e-02 eta: 1 day, 8:56:29 time: 0.2837 data_time: 0.0256 memory: 8198 grad_norm: 4.9104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9238 loss: 1.9238 2022/08/02 19:31:20 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 1.0000e-02 eta: 1 day, 8:56:22 time: 0.2817 data_time: 0.0251 memory: 8198 grad_norm: 5.0161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7256 loss: 1.7256 2022/08/02 19:31:26 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 1.0000e-02 eta: 1 day, 8:56:17 time: 0.2906 data_time: 0.0204 memory: 8198 grad_norm: 4.7609 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7051 loss: 1.7051 2022/08/02 19:31:32 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 1.0000e-02 eta: 1 day, 8:56:11 time: 0.2805 data_time: 0.0228 memory: 8198 grad_norm: 4.8774 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9471 loss: 1.9471 2022/08/02 19:31:38 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 1.0000e-02 eta: 1 day, 8:56:05 time: 0.2850 data_time: 0.0256 memory: 8198 grad_norm: 5.0547 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7262 loss: 1.7262 2022/08/02 19:31:43 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 1.0000e-02 eta: 1 day, 8:55:59 time: 0.2838 data_time: 0.0243 memory: 8198 grad_norm: 5.0230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/08/02 19:31:49 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 1.0000e-02 eta: 1 day, 8:55:53 time: 0.2786 data_time: 0.0217 memory: 8198 grad_norm: 4.9888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8215 loss: 1.8215 2022/08/02 19:31:55 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 1.0000e-02 eta: 1 day, 8:55:47 time: 0.2827 data_time: 0.0256 memory: 8198 grad_norm: 4.9274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7098 loss: 1.7098 2022/08/02 19:32:00 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 1.0000e-02 eta: 1 day, 8:55:40 time: 0.2782 data_time: 0.0235 memory: 8198 grad_norm: 5.0815 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9723 loss: 1.9723 2022/08/02 19:32:06 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 1.0000e-02 eta: 1 day, 8:55:34 time: 0.2806 data_time: 0.0238 memory: 8198 grad_norm: 4.9504 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8393 loss: 1.8393 2022/08/02 19:32:11 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 1.0000e-02 eta: 1 day, 8:55:28 time: 0.2812 data_time: 0.0252 memory: 8198 grad_norm: 4.9294 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8593 loss: 1.8593 2022/08/02 19:32:17 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 1.0000e-02 eta: 1 day, 8:55:22 time: 0.2849 data_time: 0.0223 memory: 8198 grad_norm: 4.9979 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9672 loss: 1.9672 2022/08/02 19:32:23 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 1.0000e-02 eta: 1 day, 8:55:16 time: 0.2860 data_time: 0.0241 memory: 8198 grad_norm: 4.8325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6518 loss: 1.6518 2022/08/02 19:32:28 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 1.0000e-02 eta: 1 day, 8:55:10 time: 0.2820 data_time: 0.0203 memory: 8198 grad_norm: 4.9364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8689 loss: 1.8689 2022/08/02 19:32:34 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 1.0000e-02 eta: 1 day, 8:55:04 time: 0.2800 data_time: 0.0248 memory: 8198 grad_norm: 4.8132 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7670 loss: 1.7670 2022/08/02 19:32:40 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 1.0000e-02 eta: 1 day, 8:54:58 time: 0.2840 data_time: 0.0201 memory: 8198 grad_norm: 4.7693 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9405 loss: 1.9405 2022/08/02 19:32:45 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 1.0000e-02 eta: 1 day, 8:54:52 time: 0.2857 data_time: 0.0226 memory: 8198 grad_norm: 4.9173 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7818 loss: 1.7818 2022/08/02 19:32:51 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 1.0000e-02 eta: 1 day, 8:54:48 time: 0.2958 data_time: 0.0239 memory: 8198 grad_norm: 4.9180 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8269 loss: 1.8269 2022/08/02 19:32:57 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 1.0000e-02 eta: 1 day, 8:54:43 time: 0.2875 data_time: 0.0233 memory: 8198 grad_norm: 4.9102 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8982 loss: 1.8982 2022/08/02 19:33:03 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 1.0000e-02 eta: 1 day, 8:54:38 time: 0.2923 data_time: 0.0224 memory: 8198 grad_norm: 4.9237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9659 loss: 1.9659 2022/08/02 19:33:09 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 1.0000e-02 eta: 1 day, 8:54:31 time: 0.2803 data_time: 0.0261 memory: 8198 grad_norm: 4.8902 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9576 loss: 1.9576 2022/08/02 19:33:14 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 1.0000e-02 eta: 1 day, 8:54:26 time: 0.2870 data_time: 0.0252 memory: 8198 grad_norm: 4.9970 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8620 loss: 1.8620 2022/08/02 19:33:20 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 1.0000e-02 eta: 1 day, 8:54:20 time: 0.2843 data_time: 0.0266 memory: 8198 grad_norm: 4.9327 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9271 loss: 1.9271 2022/08/02 19:33:26 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 1.0000e-02 eta: 1 day, 8:54:14 time: 0.2833 data_time: 0.0274 memory: 8198 grad_norm: 4.9979 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9768 loss: 1.9768 2022/08/02 19:33:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:33:31 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 1.0000e-02 eta: 1 day, 8:54:14 time: 0.2536 data_time: 0.0179 memory: 8198 grad_norm: 5.0749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8423 loss: 1.8423 2022/08/02 19:33:37 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:00:44 time: 0.3326 data_time: 0.2399 memory: 1514 2022/08/02 19:33:41 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:24 time: 0.2132 data_time: 0.1241 memory: 1514 2022/08/02 19:33:48 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:00:29 time: 0.3062 data_time: 0.2212 memory: 1514 2022/08/02 19:33:52 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:18 time: 0.2408 data_time: 0.1487 memory: 1514 2022/08/02 19:33:59 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:17 time: 0.3174 data_time: 0.2295 memory: 1514 2022/08/02 19:34:04 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:09 time: 0.2806 data_time: 0.1939 memory: 1514 2022/08/02 19:34:11 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:04 time: 0.3271 data_time: 0.2413 memory: 1514 2022/08/02 19:34:15 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.6230 acc/top5: 0.8428 acc/mean1: 0.6228 2022/08/02 19:34:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/08/02 19:34:17 - mmengine - INFO - The best checkpoint with 0.6230 acc/top1 at 36 epoch is saved to best_acc/top1_epoch_36.pth. 2022/08/02 19:34:24 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 1.0000e-02 eta: 1 day, 8:53:39 time: 0.3633 data_time: 0.1042 memory: 8198 grad_norm: 4.8761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0111 loss: 2.0111 2022/08/02 19:34:30 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 1.0000e-02 eta: 1 day, 8:53:33 time: 0.2841 data_time: 0.0210 memory: 8198 grad_norm: 4.8859 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7324 loss: 1.7324 2022/08/02 19:34:36 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 1.0000e-02 eta: 1 day, 8:53:27 time: 0.2864 data_time: 0.0228 memory: 8198 grad_norm: 4.9593 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7972 loss: 1.7972 2022/08/02 19:34:41 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 1.0000e-02 eta: 1 day, 8:53:22 time: 0.2851 data_time: 0.0203 memory: 8198 grad_norm: 4.9638 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9189 loss: 1.9189 2022/08/02 19:34:47 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 1.0000e-02 eta: 1 day, 8:53:15 time: 0.2804 data_time: 0.0215 memory: 8198 grad_norm: 4.9921 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8010 loss: 1.8010 2022/08/02 19:34:53 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 1.0000e-02 eta: 1 day, 8:53:09 time: 0.2812 data_time: 0.0211 memory: 8198 grad_norm: 4.9697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7641 loss: 1.7641 2022/08/02 19:34:58 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 1.0000e-02 eta: 1 day, 8:53:03 time: 0.2822 data_time: 0.0270 memory: 8198 grad_norm: 5.0029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8809 loss: 1.8809 2022/08/02 19:35:04 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 1.0000e-02 eta: 1 day, 8:52:57 time: 0.2832 data_time: 0.0248 memory: 8198 grad_norm: 4.9581 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7124 loss: 1.7124 2022/08/02 19:35:10 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 1.0000e-02 eta: 1 day, 8:52:51 time: 0.2823 data_time: 0.0264 memory: 8198 grad_norm: 4.9859 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8464 loss: 1.8464 2022/08/02 19:35:15 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 1.0000e-02 eta: 1 day, 8:52:45 time: 0.2830 data_time: 0.0211 memory: 8198 grad_norm: 4.9917 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8248 loss: 1.8248 2022/08/02 19:35:21 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 1.0000e-02 eta: 1 day, 8:52:39 time: 0.2798 data_time: 0.0230 memory: 8198 grad_norm: 5.0299 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7721 loss: 1.7721 2022/08/02 19:35:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:35:27 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 1.0000e-02 eta: 1 day, 8:52:33 time: 0.2853 data_time: 0.0258 memory: 8198 grad_norm: 5.0052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8768 loss: 1.8768 2022/08/02 19:35:32 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 1.0000e-02 eta: 1 day, 8:52:28 time: 0.2900 data_time: 0.0249 memory: 8198 grad_norm: 4.8892 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9040 loss: 1.9040 2022/08/02 19:35:38 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 1.0000e-02 eta: 1 day, 8:52:21 time: 0.2799 data_time: 0.0248 memory: 8198 grad_norm: 4.9148 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7190 loss: 1.7190 2022/08/02 19:35:44 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 1.0000e-02 eta: 1 day, 8:52:16 time: 0.2855 data_time: 0.0241 memory: 8198 grad_norm: 5.0258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7683 loss: 1.7683 2022/08/02 19:35:50 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 1.0000e-02 eta: 1 day, 8:52:12 time: 0.3033 data_time: 0.0184 memory: 8198 grad_norm: 5.0774 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8368 loss: 1.8368 2022/08/02 19:35:56 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 1.0000e-02 eta: 1 day, 8:52:07 time: 0.2851 data_time: 0.0245 memory: 8198 grad_norm: 4.9252 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8498 loss: 1.8498 2022/08/02 19:36:01 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 1.0000e-02 eta: 1 day, 8:52:00 time: 0.2812 data_time: 0.0223 memory: 8198 grad_norm: 4.9232 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7113 loss: 1.7113 2022/08/02 19:36:07 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 1.0000e-02 eta: 1 day, 8:51:54 time: 0.2813 data_time: 0.0245 memory: 8198 grad_norm: 4.8365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7909 loss: 1.7909 2022/08/02 19:36:12 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 1.0000e-02 eta: 1 day, 8:51:48 time: 0.2827 data_time: 0.0209 memory: 8198 grad_norm: 4.9075 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 1.7520 loss: 1.7520 2022/08/02 19:36:18 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 1.0000e-02 eta: 1 day, 8:51:43 time: 0.2901 data_time: 0.0237 memory: 8198 grad_norm: 4.9559 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6935 loss: 1.6935 2022/08/02 19:36:24 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 1.0000e-02 eta: 1 day, 8:51:38 time: 0.2896 data_time: 0.0204 memory: 8198 grad_norm: 4.8382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7734 loss: 1.7734 2022/08/02 19:36:30 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 1.0000e-02 eta: 1 day, 8:51:31 time: 0.2778 data_time: 0.0250 memory: 8198 grad_norm: 5.0006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8771 loss: 1.8771 2022/08/02 19:36:35 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 1.0000e-02 eta: 1 day, 8:51:26 time: 0.2880 data_time: 0.0327 memory: 8198 grad_norm: 4.9583 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8816 loss: 1.8816 2022/08/02 19:36:41 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 1.0000e-02 eta: 1 day, 8:51:20 time: 0.2804 data_time: 0.0184 memory: 8198 grad_norm: 4.9276 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0155 loss: 2.0155 2022/08/02 19:36:47 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 1.0000e-02 eta: 1 day, 8:51:14 time: 0.2838 data_time: 0.0235 memory: 8198 grad_norm: 4.9504 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8002 loss: 1.8002 2022/08/02 19:36:52 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 1.0000e-02 eta: 1 day, 8:51:08 time: 0.2842 data_time: 0.0267 memory: 8198 grad_norm: 5.0515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9620 loss: 1.9620 2022/08/02 19:36:58 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 1.0000e-02 eta: 1 day, 8:51:02 time: 0.2797 data_time: 0.0250 memory: 8198 grad_norm: 5.0512 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8960 loss: 1.8960 2022/08/02 19:37:04 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 1.0000e-02 eta: 1 day, 8:50:56 time: 0.2855 data_time: 0.0241 memory: 8198 grad_norm: 4.9650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8050 loss: 1.8050 2022/08/02 19:37:09 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 1.0000e-02 eta: 1 day, 8:50:50 time: 0.2835 data_time: 0.0248 memory: 8198 grad_norm: 4.9831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/08/02 19:37:15 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 1.0000e-02 eta: 1 day, 8:50:44 time: 0.2857 data_time: 0.0197 memory: 8198 grad_norm: 4.9800 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7673 loss: 1.7673 2022/08/02 19:37:21 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 1.0000e-02 eta: 1 day, 8:50:39 time: 0.2841 data_time: 0.0237 memory: 8198 grad_norm: 5.0401 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9261 loss: 1.9261 2022/08/02 19:37:27 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 1.0000e-02 eta: 1 day, 8:50:33 time: 0.2838 data_time: 0.0267 memory: 8198 grad_norm: 4.7662 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6534 loss: 1.6534 2022/08/02 19:37:32 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 1.0000e-02 eta: 1 day, 8:50:27 time: 0.2827 data_time: 0.0216 memory: 8198 grad_norm: 5.0074 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8371 loss: 1.8371 2022/08/02 19:37:38 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 1.0000e-02 eta: 1 day, 8:50:20 time: 0.2805 data_time: 0.0261 memory: 8198 grad_norm: 4.9414 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9560 loss: 1.9560 2022/08/02 19:37:44 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 1.0000e-02 eta: 1 day, 8:50:15 time: 0.2871 data_time: 0.0283 memory: 8198 grad_norm: 5.0950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7390 loss: 1.7390 2022/08/02 19:37:49 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 1.0000e-02 eta: 1 day, 8:50:08 time: 0.2788 data_time: 0.0222 memory: 8198 grad_norm: 5.0142 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7509 loss: 1.7509 2022/08/02 19:37:55 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 1.0000e-02 eta: 1 day, 8:50:03 time: 0.2902 data_time: 0.0262 memory: 8198 grad_norm: 5.0117 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9903 loss: 1.9903 2022/08/02 19:38:01 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 1.0000e-02 eta: 1 day, 8:49:58 time: 0.2875 data_time: 0.0244 memory: 8198 grad_norm: 4.9698 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7883 loss: 1.7883 2022/08/02 19:38:06 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 1.0000e-02 eta: 1 day, 8:49:52 time: 0.2801 data_time: 0.0294 memory: 8198 grad_norm: 5.0623 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9003 loss: 1.9003 2022/08/02 19:38:12 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 1.0000e-02 eta: 1 day, 8:49:46 time: 0.2893 data_time: 0.0267 memory: 8198 grad_norm: 4.8357 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7096 loss: 1.7096 2022/08/02 19:38:18 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 1.0000e-02 eta: 1 day, 8:49:40 time: 0.2790 data_time: 0.0261 memory: 8198 grad_norm: 4.8935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7850 loss: 1.7850 2022/08/02 19:38:23 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 1.0000e-02 eta: 1 day, 8:49:34 time: 0.2836 data_time: 0.0226 memory: 8198 grad_norm: 4.9900 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7900 loss: 1.7900 2022/08/02 19:38:29 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 1.0000e-02 eta: 1 day, 8:49:28 time: 0.2785 data_time: 0.0227 memory: 8198 grad_norm: 5.0229 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7318 loss: 1.7318 2022/08/02 19:38:35 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 1.0000e-02 eta: 1 day, 8:49:22 time: 0.2845 data_time: 0.0232 memory: 8198 grad_norm: 4.9339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8297 loss: 1.8297 2022/08/02 19:38:41 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 1.0000e-02 eta: 1 day, 8:49:17 time: 0.2945 data_time: 0.0242 memory: 8198 grad_norm: 4.9984 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0016 loss: 2.0016 2022/08/02 19:38:46 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 1.0000e-02 eta: 1 day, 8:49:11 time: 0.2811 data_time: 0.0240 memory: 8198 grad_norm: 4.9709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8496 loss: 1.8496 2022/08/02 19:38:52 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 1.0000e-02 eta: 1 day, 8:49:05 time: 0.2795 data_time: 0.0230 memory: 8198 grad_norm: 4.9877 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5638 loss: 1.5638 2022/08/02 19:38:57 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 1.0000e-02 eta: 1 day, 8:48:59 time: 0.2837 data_time: 0.0237 memory: 8198 grad_norm: 4.9258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7259 loss: 1.7259 2022/08/02 19:39:03 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 1.0000e-02 eta: 1 day, 8:48:53 time: 0.2850 data_time: 0.0208 memory: 8198 grad_norm: 4.9707 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8322 loss: 1.8322 2022/08/02 19:39:09 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 1.0000e-02 eta: 1 day, 8:48:47 time: 0.2826 data_time: 0.0235 memory: 8198 grad_norm: 5.0520 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8808 loss: 1.8808 2022/08/02 19:39:15 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 1.0000e-02 eta: 1 day, 8:48:41 time: 0.2844 data_time: 0.0303 memory: 8198 grad_norm: 4.7941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6882 loss: 1.6882 2022/08/02 19:39:20 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 1.0000e-02 eta: 1 day, 8:48:35 time: 0.2833 data_time: 0.0214 memory: 8198 grad_norm: 5.0320 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7196 loss: 1.7196 2022/08/02 19:39:26 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 1.0000e-02 eta: 1 day, 8:48:31 time: 0.2939 data_time: 0.0227 memory: 8198 grad_norm: 5.0040 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9787 loss: 1.9787 2022/08/02 19:39:32 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 1.0000e-02 eta: 1 day, 8:48:25 time: 0.2828 data_time: 0.0213 memory: 8198 grad_norm: 4.9512 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8403 loss: 1.8403 2022/08/02 19:39:37 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 1.0000e-02 eta: 1 day, 8:48:18 time: 0.2786 data_time: 0.0239 memory: 8198 grad_norm: 4.9537 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7136 loss: 1.7136 2022/08/02 19:39:43 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 1.0000e-02 eta: 1 day, 8:48:12 time: 0.2836 data_time: 0.0268 memory: 8198 grad_norm: 4.9354 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6597 loss: 1.6597 2022/08/02 19:39:49 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 1.0000e-02 eta: 1 day, 8:48:07 time: 0.2848 data_time: 0.0212 memory: 8198 grad_norm: 4.8954 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9108 loss: 1.9108 2022/08/02 19:39:54 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 1.0000e-02 eta: 1 day, 8:48:01 time: 0.2877 data_time: 0.0234 memory: 8198 grad_norm: 5.0184 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0500 loss: 2.0500 2022/08/02 19:40:00 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 1.0000e-02 eta: 1 day, 8:47:55 time: 0.2799 data_time: 0.0260 memory: 8198 grad_norm: 4.8884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7652 loss: 1.7652 2022/08/02 19:40:06 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 1.0000e-02 eta: 1 day, 8:47:49 time: 0.2857 data_time: 0.0231 memory: 8198 grad_norm: 4.9279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6763 loss: 1.6763 2022/08/02 19:40:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:40:11 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 1.0000e-02 eta: 1 day, 8:47:43 time: 0.2825 data_time: 0.0251 memory: 8198 grad_norm: 5.0091 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9478 loss: 1.9478 2022/08/02 19:40:17 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 1.0000e-02 eta: 1 day, 8:47:39 time: 0.2962 data_time: 0.0254 memory: 8198 grad_norm: 4.9065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9135 loss: 1.9135 2022/08/02 19:40:23 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 1.0000e-02 eta: 1 day, 8:47:32 time: 0.2777 data_time: 0.0199 memory: 8198 grad_norm: 5.0958 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9118 loss: 1.9118 2022/08/02 19:40:29 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 1.0000e-02 eta: 1 day, 8:47:26 time: 0.2810 data_time: 0.0240 memory: 8198 grad_norm: 5.0215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6761 loss: 1.6761 2022/08/02 19:40:34 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 1.0000e-02 eta: 1 day, 8:47:20 time: 0.2860 data_time: 0.0242 memory: 8198 grad_norm: 4.9949 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7269 loss: 1.7269 2022/08/02 19:40:40 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 1.0000e-02 eta: 1 day, 8:47:14 time: 0.2834 data_time: 0.0238 memory: 8198 grad_norm: 4.9711 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8291 loss: 1.8291 2022/08/02 19:40:46 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 1.0000e-02 eta: 1 day, 8:47:08 time: 0.2801 data_time: 0.0237 memory: 8198 grad_norm: 5.0563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8856 loss: 1.8856 2022/08/02 19:40:51 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 1.0000e-02 eta: 1 day, 8:47:02 time: 0.2815 data_time: 0.0222 memory: 8198 grad_norm: 4.9831 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6613 loss: 1.6613 2022/08/02 19:40:57 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 1.0000e-02 eta: 1 day, 8:46:56 time: 0.2845 data_time: 0.0188 memory: 8198 grad_norm: 4.9632 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7410 loss: 1.7410 2022/08/02 19:41:03 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 1.0000e-02 eta: 1 day, 8:46:50 time: 0.2852 data_time: 0.0272 memory: 8198 grad_norm: 4.9686 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8770 loss: 1.8770 2022/08/02 19:41:08 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 1.0000e-02 eta: 1 day, 8:46:44 time: 0.2814 data_time: 0.0226 memory: 8198 grad_norm: 4.9716 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8714 loss: 1.8714 2022/08/02 19:41:14 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 1.0000e-02 eta: 1 day, 8:46:40 time: 0.2955 data_time: 0.0260 memory: 8198 grad_norm: 4.9753 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7832 loss: 1.7832 2022/08/02 19:41:20 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 1.0000e-02 eta: 1 day, 8:46:34 time: 0.2860 data_time: 0.0233 memory: 8198 grad_norm: 4.8286 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7734 loss: 1.7734 2022/08/02 19:41:26 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 1.0000e-02 eta: 1 day, 8:46:28 time: 0.2819 data_time: 0.0213 memory: 8198 grad_norm: 5.0503 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8125 loss: 1.8125 2022/08/02 19:41:31 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 1.0000e-02 eta: 1 day, 8:46:23 time: 0.2895 data_time: 0.0274 memory: 8198 grad_norm: 4.8921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/08/02 19:41:37 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 1.0000e-02 eta: 1 day, 8:46:17 time: 0.2797 data_time: 0.0249 memory: 8198 grad_norm: 5.0460 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8307 loss: 1.8307 2022/08/02 19:41:43 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 1.0000e-02 eta: 1 day, 8:46:10 time: 0.2816 data_time: 0.0197 memory: 8198 grad_norm: 5.0348 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/08/02 19:41:48 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 1.0000e-02 eta: 1 day, 8:46:04 time: 0.2805 data_time: 0.0233 memory: 8198 grad_norm: 4.9538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8374 loss: 1.8374 2022/08/02 19:41:54 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 1.0000e-02 eta: 1 day, 8:45:58 time: 0.2849 data_time: 0.0226 memory: 8198 grad_norm: 5.0350 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7851 loss: 1.7851 2022/08/02 19:42:00 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 1.0000e-02 eta: 1 day, 8:45:52 time: 0.2802 data_time: 0.0272 memory: 8198 grad_norm: 4.8999 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9277 loss: 1.9277 2022/08/02 19:42:05 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 1.0000e-02 eta: 1 day, 8:45:46 time: 0.2818 data_time: 0.0229 memory: 8198 grad_norm: 4.9113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9250 loss: 1.9250 2022/08/02 19:42:11 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 1.0000e-02 eta: 1 day, 8:45:40 time: 0.2802 data_time: 0.0242 memory: 8198 grad_norm: 4.8286 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6950 loss: 1.6950 2022/08/02 19:42:16 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 1.0000e-02 eta: 1 day, 8:45:34 time: 0.2854 data_time: 0.0233 memory: 8198 grad_norm: 5.0693 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9450 loss: 1.9450 2022/08/02 19:42:22 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 1.0000e-02 eta: 1 day, 8:45:28 time: 0.2825 data_time: 0.0280 memory: 8198 grad_norm: 4.7809 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7668 loss: 1.7668 2022/08/02 19:42:28 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 1.0000e-02 eta: 1 day, 8:45:22 time: 0.2818 data_time: 0.0199 memory: 8198 grad_norm: 4.6840 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1520 loss: 2.1520 2022/08/02 19:42:34 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 1.0000e-02 eta: 1 day, 8:45:16 time: 0.2860 data_time: 0.0274 memory: 8198 grad_norm: 4.9846 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0081 loss: 2.0081 2022/08/02 19:42:39 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 1.0000e-02 eta: 1 day, 8:45:10 time: 0.2814 data_time: 0.0216 memory: 8198 grad_norm: 5.0554 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8277 loss: 1.8277 2022/08/02 19:42:45 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 1.0000e-02 eta: 1 day, 8:45:04 time: 0.2812 data_time: 0.0217 memory: 8198 grad_norm: 5.0223 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8895 loss: 1.8895 2022/08/02 19:42:50 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 1.0000e-02 eta: 1 day, 8:44:58 time: 0.2818 data_time: 0.0228 memory: 8198 grad_norm: 4.9689 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0302 loss: 2.0302 2022/08/02 19:42:56 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 1.0000e-02 eta: 1 day, 8:44:52 time: 0.2822 data_time: 0.0237 memory: 8198 grad_norm: 4.9730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8302 loss: 1.8302 2022/08/02 19:43:02 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 1.0000e-02 eta: 1 day, 8:44:46 time: 0.2815 data_time: 0.0213 memory: 8198 grad_norm: 4.7464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8331 loss: 1.8331 2022/08/02 19:43:07 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 1.0000e-02 eta: 1 day, 8:44:40 time: 0.2872 data_time: 0.0250 memory: 8198 grad_norm: 4.9738 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8826 loss: 1.8826 2022/08/02 19:43:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:43:12 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 1.0000e-02 eta: 1 day, 8:44:40 time: 0.2536 data_time: 0.0177 memory: 8198 grad_norm: 5.1156 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 1.9414 loss: 1.9414 2022/08/02 19:43:12 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/02 19:43:23 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 1.0000e-02 eta: 1 day, 8:44:04 time: 0.3545 data_time: 0.1009 memory: 8198 grad_norm: 4.9740 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8499 loss: 1.8499 2022/08/02 19:43:28 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 1.0000e-02 eta: 1 day, 8:43:58 time: 0.2797 data_time: 0.0195 memory: 8198 grad_norm: 4.9250 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8844 loss: 1.8844 2022/08/02 19:43:34 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 1.0000e-02 eta: 1 day, 8:43:52 time: 0.2848 data_time: 0.0208 memory: 8198 grad_norm: 4.8826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7503 loss: 1.7503 2022/08/02 19:43:40 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 1.0000e-02 eta: 1 day, 8:43:47 time: 0.2840 data_time: 0.0182 memory: 8198 grad_norm: 5.0390 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8605 loss: 1.8605 2022/08/02 19:43:45 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 1.0000e-02 eta: 1 day, 8:43:41 time: 0.2841 data_time: 0.0229 memory: 8198 grad_norm: 5.0385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6862 loss: 1.6862 2022/08/02 19:43:51 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 1.0000e-02 eta: 1 day, 8:43:36 time: 0.2911 data_time: 0.0208 memory: 8198 grad_norm: 4.9446 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7727 loss: 1.7727 2022/08/02 19:43:57 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 1.0000e-02 eta: 1 day, 8:43:29 time: 0.2788 data_time: 0.0196 memory: 8198 grad_norm: 5.0073 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8771 loss: 1.8771 2022/08/02 19:44:02 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 1.0000e-02 eta: 1 day, 8:43:24 time: 0.2921 data_time: 0.0273 memory: 8198 grad_norm: 4.8976 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6474 loss: 1.6474 2022/08/02 19:44:08 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 1.0000e-02 eta: 1 day, 8:43:20 time: 0.2951 data_time: 0.0232 memory: 8198 grad_norm: 4.9065 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8592 loss: 1.8592 2022/08/02 19:44:14 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 1.0000e-02 eta: 1 day, 8:43:15 time: 0.2887 data_time: 0.0187 memory: 8198 grad_norm: 4.9986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7037 loss: 1.7037 2022/08/02 19:44:20 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 1.0000e-02 eta: 1 day, 8:43:08 time: 0.2784 data_time: 0.0228 memory: 8198 grad_norm: 4.9846 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7219 loss: 1.7219 2022/08/02 19:44:25 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 1.0000e-02 eta: 1 day, 8:43:03 time: 0.2872 data_time: 0.0231 memory: 8198 grad_norm: 4.9166 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7988 loss: 1.7988 2022/08/02 19:44:31 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 1.0000e-02 eta: 1 day, 8:42:57 time: 0.2860 data_time: 0.0196 memory: 8198 grad_norm: 4.8563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7232 loss: 1.7232 2022/08/02 19:44:37 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 1.0000e-02 eta: 1 day, 8:42:52 time: 0.2878 data_time: 0.0222 memory: 8198 grad_norm: 4.9748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7747 loss: 1.7747 2022/08/02 19:44:43 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 1.0000e-02 eta: 1 day, 8:42:46 time: 0.2824 data_time: 0.0228 memory: 8198 grad_norm: 5.0941 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8938 loss: 1.8938 2022/08/02 19:44:48 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 1.0000e-02 eta: 1 day, 8:42:40 time: 0.2857 data_time: 0.0230 memory: 8198 grad_norm: 5.0794 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7686 loss: 1.7686 2022/08/02 19:44:54 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 1.0000e-02 eta: 1 day, 8:42:34 time: 0.2828 data_time: 0.0212 memory: 8198 grad_norm: 5.0823 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8836 loss: 1.8836 2022/08/02 19:44:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:45:00 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 1.0000e-02 eta: 1 day, 8:42:29 time: 0.2868 data_time: 0.0248 memory: 8198 grad_norm: 5.0548 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6999 loss: 1.6999 2022/08/02 19:45:06 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 1.0000e-02 eta: 1 day, 8:42:24 time: 0.2963 data_time: 0.0248 memory: 8198 grad_norm: 4.9893 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8665 loss: 1.8665 2022/08/02 19:45:11 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 1.0000e-02 eta: 1 day, 8:42:18 time: 0.2789 data_time: 0.0207 memory: 8198 grad_norm: 4.9027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6548 loss: 1.6548 2022/08/02 19:45:17 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 1.0000e-02 eta: 1 day, 8:42:13 time: 0.2921 data_time: 0.0204 memory: 8198 grad_norm: 5.0901 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7426 loss: 1.7426 2022/08/02 19:45:23 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 1.0000e-02 eta: 1 day, 8:42:07 time: 0.2823 data_time: 0.0223 memory: 8198 grad_norm: 4.9726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8508 loss: 1.8508 2022/08/02 19:45:28 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 1.0000e-02 eta: 1 day, 8:42:01 time: 0.2822 data_time: 0.0238 memory: 8198 grad_norm: 4.9127 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7060 loss: 1.7060 2022/08/02 19:45:34 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 1.0000e-02 eta: 1 day, 8:41:55 time: 0.2846 data_time: 0.0234 memory: 8198 grad_norm: 5.0907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8563 loss: 1.8563 2022/08/02 19:45:40 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 1.0000e-02 eta: 1 day, 8:41:49 time: 0.2815 data_time: 0.0219 memory: 8198 grad_norm: 5.0976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9616 loss: 1.9616 2022/08/02 19:45:45 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 1.0000e-02 eta: 1 day, 8:41:43 time: 0.2838 data_time: 0.0255 memory: 8198 grad_norm: 4.9241 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8156 loss: 1.8156 2022/08/02 19:45:51 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 1.0000e-02 eta: 1 day, 8:41:37 time: 0.2795 data_time: 0.0207 memory: 8198 grad_norm: 4.9125 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7894 loss: 1.7894 2022/08/02 19:45:57 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 1.0000e-02 eta: 1 day, 8:41:31 time: 0.2825 data_time: 0.0231 memory: 8198 grad_norm: 4.9590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6912 loss: 1.6912 2022/08/02 19:46:02 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 1.0000e-02 eta: 1 day, 8:41:25 time: 0.2814 data_time: 0.0256 memory: 8198 grad_norm: 4.8634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8269 loss: 1.8269 2022/08/02 19:46:08 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 1.0000e-02 eta: 1 day, 8:41:18 time: 0.2815 data_time: 0.0249 memory: 8198 grad_norm: 5.0051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7721 loss: 1.7721 2022/08/02 19:46:14 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 1.0000e-02 eta: 1 day, 8:41:16 time: 0.3121 data_time: 0.0225 memory: 8198 grad_norm: 4.9040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0457 loss: 2.0457 2022/08/02 19:46:20 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 1.0000e-02 eta: 1 day, 8:41:10 time: 0.2815 data_time: 0.0228 memory: 8198 grad_norm: 4.9437 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9547 loss: 1.9547 2022/08/02 19:46:26 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 1.0000e-02 eta: 1 day, 8:41:05 time: 0.2893 data_time: 0.0297 memory: 8198 grad_norm: 4.9207 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6845 loss: 1.6845 2022/08/02 19:46:31 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 1.0000e-02 eta: 1 day, 8:40:59 time: 0.2836 data_time: 0.0216 memory: 8198 grad_norm: 4.9835 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5513 loss: 1.5513 2022/08/02 19:46:37 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 1.0000e-02 eta: 1 day, 8:40:53 time: 0.2860 data_time: 0.0205 memory: 8198 grad_norm: 5.0220 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8458 loss: 1.8458 2022/08/02 19:46:43 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 1.0000e-02 eta: 1 day, 8:40:47 time: 0.2831 data_time: 0.0246 memory: 8198 grad_norm: 4.9056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7139 loss: 1.7139 2022/08/02 19:46:48 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 1.0000e-02 eta: 1 day, 8:40:42 time: 0.2874 data_time: 0.0201 memory: 8198 grad_norm: 5.0080 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8246 loss: 1.8246 2022/08/02 19:46:54 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 1.0000e-02 eta: 1 day, 8:40:36 time: 0.2819 data_time: 0.0200 memory: 8198 grad_norm: 4.9792 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8140 loss: 1.8140 2022/08/02 19:47:00 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 1.0000e-02 eta: 1 day, 8:40:29 time: 0.2801 data_time: 0.0253 memory: 8198 grad_norm: 4.8214 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8314 loss: 1.8314 2022/08/02 19:47:05 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 1.0000e-02 eta: 1 day, 8:40:24 time: 0.2877 data_time: 0.0265 memory: 8198 grad_norm: 5.0171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9264 loss: 1.9264 2022/08/02 19:47:11 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 1.0000e-02 eta: 1 day, 8:40:18 time: 0.2805 data_time: 0.0254 memory: 8198 grad_norm: 4.9465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6889 loss: 1.6889 2022/08/02 19:47:17 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 1.0000e-02 eta: 1 day, 8:40:12 time: 0.2875 data_time: 0.0246 memory: 8198 grad_norm: 4.9997 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0567 loss: 2.0567 2022/08/02 19:47:23 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 1.0000e-02 eta: 1 day, 8:40:06 time: 0.2831 data_time: 0.0251 memory: 8198 grad_norm: 4.9362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8725 loss: 1.8725 2022/08/02 19:47:28 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 1.0000e-02 eta: 1 day, 8:40:00 time: 0.2824 data_time: 0.0227 memory: 8198 grad_norm: 5.0289 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8946 loss: 1.8946 2022/08/02 19:47:34 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 1.0000e-02 eta: 1 day, 8:39:55 time: 0.2836 data_time: 0.0208 memory: 8198 grad_norm: 4.8494 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7972 loss: 1.7972 2022/08/02 19:47:40 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 1.0000e-02 eta: 1 day, 8:39:48 time: 0.2814 data_time: 0.0202 memory: 8198 grad_norm: 4.9961 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9160 loss: 1.9160 2022/08/02 19:47:45 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 1.0000e-02 eta: 1 day, 8:39:42 time: 0.2808 data_time: 0.0221 memory: 8198 grad_norm: 5.1270 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8168 loss: 1.8168 2022/08/02 19:47:51 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 1.0000e-02 eta: 1 day, 8:39:36 time: 0.2833 data_time: 0.0251 memory: 8198 grad_norm: 5.1004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7915 loss: 1.7915 2022/08/02 19:47:57 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 1.0000e-02 eta: 1 day, 8:39:32 time: 0.2937 data_time: 0.0187 memory: 8198 grad_norm: 4.8844 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7023 loss: 1.7023 2022/08/02 19:48:02 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 1.0000e-02 eta: 1 day, 8:39:25 time: 0.2800 data_time: 0.0275 memory: 8198 grad_norm: 4.9723 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8995 loss: 1.8995 2022/08/02 19:48:08 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 1.0000e-02 eta: 1 day, 8:39:19 time: 0.2808 data_time: 0.0213 memory: 8198 grad_norm: 4.9325 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7709 loss: 1.7709 2022/08/02 19:48:14 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 1.0000e-02 eta: 1 day, 8:39:14 time: 0.2888 data_time: 0.0231 memory: 8198 grad_norm: 4.9441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8435 loss: 1.8435 2022/08/02 19:48:19 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 1.0000e-02 eta: 1 day, 8:39:08 time: 0.2828 data_time: 0.0230 memory: 8198 grad_norm: 4.8418 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9437 loss: 1.9437 2022/08/02 19:48:25 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 1.0000e-02 eta: 1 day, 8:39:02 time: 0.2841 data_time: 0.0249 memory: 8198 grad_norm: 5.1759 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8307 loss: 1.8307 2022/08/02 19:48:31 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 1.0000e-02 eta: 1 day, 8:38:56 time: 0.2826 data_time: 0.0216 memory: 8198 grad_norm: 4.9259 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9153 loss: 1.9153 2022/08/02 19:48:36 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 1.0000e-02 eta: 1 day, 8:38:51 time: 0.2882 data_time: 0.0247 memory: 8198 grad_norm: 4.9303 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7943 loss: 1.7943 2022/08/02 19:48:42 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 1.0000e-02 eta: 1 day, 8:38:45 time: 0.2879 data_time: 0.0292 memory: 8198 grad_norm: 4.9348 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7523 loss: 1.7523 2022/08/02 19:48:48 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 1.0000e-02 eta: 1 day, 8:38:39 time: 0.2825 data_time: 0.0248 memory: 8198 grad_norm: 5.0094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7516 loss: 1.7516 2022/08/02 19:48:54 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 1.0000e-02 eta: 1 day, 8:38:34 time: 0.2843 data_time: 0.0216 memory: 8198 grad_norm: 4.9756 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9486 loss: 1.9486 2022/08/02 19:48:59 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 1.0000e-02 eta: 1 day, 8:38:28 time: 0.2833 data_time: 0.0278 memory: 8198 grad_norm: 4.9710 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8586 loss: 1.8586 2022/08/02 19:49:05 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 1.0000e-02 eta: 1 day, 8:38:22 time: 0.2862 data_time: 0.0240 memory: 8198 grad_norm: 4.8453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7105 loss: 1.7105 2022/08/02 19:49:11 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 1.0000e-02 eta: 1 day, 8:38:16 time: 0.2802 data_time: 0.0207 memory: 8198 grad_norm: 4.9927 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8065 loss: 1.8065 2022/08/02 19:49:16 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 1.0000e-02 eta: 1 day, 8:38:10 time: 0.2878 data_time: 0.0331 memory: 8198 grad_norm: 5.1161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9593 loss: 1.9593 2022/08/02 19:49:22 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 1.0000e-02 eta: 1 day, 8:38:04 time: 0.2829 data_time: 0.0235 memory: 8198 grad_norm: 5.0831 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/08/02 19:49:28 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 1.0000e-02 eta: 1 day, 8:37:58 time: 0.2812 data_time: 0.0220 memory: 8198 grad_norm: 5.1414 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7508 loss: 1.7508 2022/08/02 19:49:33 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 1.0000e-02 eta: 1 day, 8:37:52 time: 0.2804 data_time: 0.0208 memory: 8198 grad_norm: 5.0423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9706 loss: 1.9706 2022/08/02 19:49:40 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 1.0000e-02 eta: 1 day, 8:37:51 time: 0.3255 data_time: 0.0626 memory: 8198 grad_norm: 5.0714 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9287 loss: 1.9287 2022/08/02 19:49:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:49:46 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 1.0000e-02 eta: 1 day, 8:37:45 time: 0.2853 data_time: 0.0181 memory: 8198 grad_norm: 5.0749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/08/02 19:49:51 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 1.0000e-02 eta: 1 day, 8:37:40 time: 0.2850 data_time: 0.0212 memory: 8198 grad_norm: 5.0015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8322 loss: 1.8322 2022/08/02 19:49:57 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 1.0000e-02 eta: 1 day, 8:37:34 time: 0.2854 data_time: 0.0261 memory: 8198 grad_norm: 4.9080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7834 loss: 1.7834 2022/08/02 19:50:03 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 1.0000e-02 eta: 1 day, 8:37:29 time: 0.2918 data_time: 0.0198 memory: 8198 grad_norm: 4.9328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7592 loss: 1.7592 2022/08/02 19:50:08 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 1.0000e-02 eta: 1 day, 8:37:23 time: 0.2805 data_time: 0.0226 memory: 8198 grad_norm: 5.0003 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9342 loss: 1.9342 2022/08/02 19:50:14 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 1.0000e-02 eta: 1 day, 8:37:17 time: 0.2847 data_time: 0.0255 memory: 8198 grad_norm: 5.1221 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8802 loss: 1.8802 2022/08/02 19:50:20 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 1.0000e-02 eta: 1 day, 8:37:11 time: 0.2835 data_time: 0.0299 memory: 8198 grad_norm: 4.9265 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8040 loss: 1.8040 2022/08/02 19:50:25 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 1.0000e-02 eta: 1 day, 8:37:06 time: 0.2848 data_time: 0.0213 memory: 8198 grad_norm: 5.0168 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7297 loss: 1.7297 2022/08/02 19:50:31 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 1.0000e-02 eta: 1 day, 8:37:00 time: 0.2846 data_time: 0.0191 memory: 8198 grad_norm: 4.9518 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6625 loss: 1.6625 2022/08/02 19:50:37 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 1.0000e-02 eta: 1 day, 8:36:54 time: 0.2872 data_time: 0.0282 memory: 8198 grad_norm: 4.9844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9818 loss: 1.9818 2022/08/02 19:50:43 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 1.0000e-02 eta: 1 day, 8:36:48 time: 0.2820 data_time: 0.0227 memory: 8198 grad_norm: 5.0411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7228 loss: 1.7228 2022/08/02 19:50:48 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 1.0000e-02 eta: 1 day, 8:36:43 time: 0.2868 data_time: 0.0221 memory: 8198 grad_norm: 4.9011 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8015 loss: 1.8015 2022/08/02 19:50:54 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 1.0000e-02 eta: 1 day, 8:36:36 time: 0.2801 data_time: 0.0220 memory: 8198 grad_norm: 4.9663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0387 loss: 2.0387 2022/08/02 19:51:00 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 1.0000e-02 eta: 1 day, 8:36:30 time: 0.2821 data_time: 0.0221 memory: 8198 grad_norm: 4.9767 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8073 loss: 1.8073 2022/08/02 19:51:05 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 1.0000e-02 eta: 1 day, 8:36:25 time: 0.2842 data_time: 0.0259 memory: 8198 grad_norm: 4.9295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7664 loss: 1.7664 2022/08/02 19:51:11 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 1.0000e-02 eta: 1 day, 8:36:18 time: 0.2783 data_time: 0.0196 memory: 8198 grad_norm: 5.0228 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6941 loss: 1.6941 2022/08/02 19:51:16 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 1.0000e-02 eta: 1 day, 8:36:12 time: 0.2816 data_time: 0.0265 memory: 8198 grad_norm: 4.9931 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9820 loss: 1.9820 2022/08/02 19:51:22 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 1.0000e-02 eta: 1 day, 8:36:06 time: 0.2833 data_time: 0.0209 memory: 8198 grad_norm: 5.0280 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8043 loss: 1.8043 2022/08/02 19:51:28 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 1.0000e-02 eta: 1 day, 8:36:00 time: 0.2809 data_time: 0.0199 memory: 8198 grad_norm: 5.0418 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9027 loss: 1.9027 2022/08/02 19:51:33 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 1.0000e-02 eta: 1 day, 8:35:54 time: 0.2802 data_time: 0.0222 memory: 8198 grad_norm: 4.9576 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9728 loss: 1.9728 2022/08/02 19:51:39 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 1.0000e-02 eta: 1 day, 8:35:47 time: 0.2809 data_time: 0.0226 memory: 8198 grad_norm: 4.8969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7538 loss: 1.7538 2022/08/02 19:51:45 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 1.0000e-02 eta: 1 day, 8:35:41 time: 0.2829 data_time: 0.0228 memory: 8198 grad_norm: 5.0136 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7683 loss: 1.7683 2022/08/02 19:51:50 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 1.0000e-02 eta: 1 day, 8:35:35 time: 0.2811 data_time: 0.0234 memory: 8198 grad_norm: 4.9325 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7859 loss: 1.7859 2022/08/02 19:51:56 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 1.0000e-02 eta: 1 day, 8:35:30 time: 0.2860 data_time: 0.0280 memory: 8198 grad_norm: 4.8750 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6540 loss: 1.6540 2022/08/02 19:52:02 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 1.0000e-02 eta: 1 day, 8:35:24 time: 0.2822 data_time: 0.0210 memory: 8198 grad_norm: 4.9039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8445 loss: 1.8445 2022/08/02 19:52:07 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 1.0000e-02 eta: 1 day, 8:35:18 time: 0.2864 data_time: 0.0257 memory: 8198 grad_norm: 5.1124 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9444 loss: 1.9444 2022/08/02 19:52:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:52:12 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 1.0000e-02 eta: 1 day, 8:35:18 time: 0.2548 data_time: 0.0125 memory: 8198 grad_norm: 5.0908 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.9197 loss: 1.9197 2022/08/02 19:52:21 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 1.0000e-02 eta: 1 day, 8:34:53 time: 0.4389 data_time: 0.1131 memory: 8198 grad_norm: 4.9135 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8589 loss: 1.8589 2022/08/02 19:52:27 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 1.0000e-02 eta: 1 day, 8:34:47 time: 0.2863 data_time: 0.0220 memory: 8198 grad_norm: 4.9337 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8418 loss: 1.8418 2022/08/02 19:52:32 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 1.0000e-02 eta: 1 day, 8:34:41 time: 0.2819 data_time: 0.0211 memory: 8198 grad_norm: 4.7287 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6175 loss: 1.6175 2022/08/02 19:52:38 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 1.0000e-02 eta: 1 day, 8:34:36 time: 0.2848 data_time: 0.0222 memory: 8198 grad_norm: 5.0587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6967 loss: 1.6967 2022/08/02 19:52:44 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 1.0000e-02 eta: 1 day, 8:34:29 time: 0.2803 data_time: 0.0231 memory: 8198 grad_norm: 4.8417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7682 loss: 1.7682 2022/08/02 19:52:49 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 1.0000e-02 eta: 1 day, 8:34:24 time: 0.2842 data_time: 0.0239 memory: 8198 grad_norm: 5.0205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8685 loss: 1.8685 2022/08/02 19:52:55 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 1.0000e-02 eta: 1 day, 8:34:18 time: 0.2828 data_time: 0.0196 memory: 8198 grad_norm: 4.9993 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8005 loss: 1.8005 2022/08/02 19:53:01 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 1.0000e-02 eta: 1 day, 8:34:12 time: 0.2844 data_time: 0.0272 memory: 8198 grad_norm: 4.9366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8642 loss: 1.8642 2022/08/02 19:53:06 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 1.0000e-02 eta: 1 day, 8:34:06 time: 0.2810 data_time: 0.0220 memory: 8198 grad_norm: 4.9689 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6692 loss: 1.6692 2022/08/02 19:53:12 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 1.0000e-02 eta: 1 day, 8:33:59 time: 0.2778 data_time: 0.0210 memory: 8198 grad_norm: 4.9370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8249 loss: 1.8249 2022/08/02 19:53:18 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 1.0000e-02 eta: 1 day, 8:33:53 time: 0.2822 data_time: 0.0217 memory: 8198 grad_norm: 4.9919 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7158 loss: 1.7158 2022/08/02 19:53:23 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 1.0000e-02 eta: 1 day, 8:33:47 time: 0.2812 data_time: 0.0214 memory: 8198 grad_norm: 4.9444 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9290 loss: 1.9290 2022/08/02 19:53:29 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 1.0000e-02 eta: 1 day, 8:33:41 time: 0.2835 data_time: 0.0225 memory: 8198 grad_norm: 4.9655 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6622 loss: 1.6622 2022/08/02 19:53:35 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 1.0000e-02 eta: 1 day, 8:33:35 time: 0.2827 data_time: 0.0248 memory: 8198 grad_norm: 4.9852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8752 loss: 1.8752 2022/08/02 19:53:40 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 1.0000e-02 eta: 1 day, 8:33:29 time: 0.2836 data_time: 0.0203 memory: 8198 grad_norm: 5.1773 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9241 loss: 1.9241 2022/08/02 19:53:46 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 1.0000e-02 eta: 1 day, 8:33:24 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 5.0272 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7292 loss: 1.7292 2022/08/02 19:53:52 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 1.0000e-02 eta: 1 day, 8:33:19 time: 0.2896 data_time: 0.0260 memory: 8198 grad_norm: 5.0177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5633 loss: 1.5633 2022/08/02 19:53:58 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 1.0000e-02 eta: 1 day, 8:33:13 time: 0.2828 data_time: 0.0270 memory: 8198 grad_norm: 4.9506 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8769 loss: 1.8769 2022/08/02 19:54:03 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 1.0000e-02 eta: 1 day, 8:33:06 time: 0.2801 data_time: 0.0235 memory: 8198 grad_norm: 4.9805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7712 loss: 1.7712 2022/08/02 19:54:09 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 1.0000e-02 eta: 1 day, 8:33:00 time: 0.2826 data_time: 0.0211 memory: 8198 grad_norm: 4.9777 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6900 loss: 1.6900 2022/08/02 19:54:15 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 1.0000e-02 eta: 1 day, 8:32:55 time: 0.2860 data_time: 0.0197 memory: 8198 grad_norm: 5.1621 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7846 loss: 1.7846 2022/08/02 19:54:20 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 1.0000e-02 eta: 1 day, 8:32:49 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 5.0379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9667 loss: 1.9667 2022/08/02 19:54:26 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 1.0000e-02 eta: 1 day, 8:32:43 time: 0.2804 data_time: 0.0192 memory: 8198 grad_norm: 4.8877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7378 loss: 1.7378 2022/08/02 19:54:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:54:32 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 1.0000e-02 eta: 1 day, 8:32:37 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 4.8324 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7131 loss: 1.7131 2022/08/02 19:54:37 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 1.0000e-02 eta: 1 day, 8:32:32 time: 0.2898 data_time: 0.0244 memory: 8198 grad_norm: 4.8284 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8860 loss: 1.8860 2022/08/02 19:54:43 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 1.0000e-02 eta: 1 day, 8:32:25 time: 0.2797 data_time: 0.0210 memory: 8198 grad_norm: 4.9581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7160 loss: 1.7160 2022/08/02 19:54:49 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 1.0000e-02 eta: 1 day, 8:32:20 time: 0.2862 data_time: 0.0254 memory: 8198 grad_norm: 4.9875 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8307 loss: 1.8307 2022/08/02 19:54:54 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 1.0000e-02 eta: 1 day, 8:32:14 time: 0.2869 data_time: 0.0275 memory: 8198 grad_norm: 5.0084 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8076 loss: 1.8076 2022/08/02 19:55:00 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 1.0000e-02 eta: 1 day, 8:32:08 time: 0.2811 data_time: 0.0219 memory: 8198 grad_norm: 5.0618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8964 loss: 1.8964 2022/08/02 19:55:06 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 1.0000e-02 eta: 1 day, 8:32:02 time: 0.2816 data_time: 0.0236 memory: 8198 grad_norm: 5.0266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8500 loss: 1.8500 2022/08/02 19:55:11 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 1.0000e-02 eta: 1 day, 8:31:56 time: 0.2804 data_time: 0.0199 memory: 8198 grad_norm: 5.0291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9216 loss: 1.9216 2022/08/02 19:55:17 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 1.0000e-02 eta: 1 day, 8:31:51 time: 0.2898 data_time: 0.0217 memory: 8198 grad_norm: 4.9722 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9539 loss: 1.9539 2022/08/02 19:55:23 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 1.0000e-02 eta: 1 day, 8:31:45 time: 0.2815 data_time: 0.0217 memory: 8198 grad_norm: 5.0248 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7950 loss: 1.7950 2022/08/02 19:55:28 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 1.0000e-02 eta: 1 day, 8:31:39 time: 0.2817 data_time: 0.0249 memory: 8198 grad_norm: 4.9924 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7373 loss: 1.7373 2022/08/02 19:55:34 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 1.0000e-02 eta: 1 day, 8:31:33 time: 0.2869 data_time: 0.0309 memory: 8198 grad_norm: 5.0619 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9066 loss: 1.9066 2022/08/02 19:55:40 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 1.0000e-02 eta: 1 day, 8:31:27 time: 0.2822 data_time: 0.0193 memory: 8198 grad_norm: 4.8074 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7401 loss: 1.7401 2022/08/02 19:55:45 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 1.0000e-02 eta: 1 day, 8:31:21 time: 0.2822 data_time: 0.0251 memory: 8198 grad_norm: 5.1218 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9405 loss: 1.9405 2022/08/02 19:55:51 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 1.0000e-02 eta: 1 day, 8:31:15 time: 0.2842 data_time: 0.0248 memory: 8198 grad_norm: 5.0678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7537 loss: 1.7537 2022/08/02 19:55:57 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 1.0000e-02 eta: 1 day, 8:31:10 time: 0.2889 data_time: 0.0220 memory: 8198 grad_norm: 4.8533 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7316 loss: 1.7316 2022/08/02 19:56:03 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 1.0000e-02 eta: 1 day, 8:31:04 time: 0.2814 data_time: 0.0233 memory: 8198 grad_norm: 4.9365 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6933 loss: 1.6933 2022/08/02 19:56:08 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 1.0000e-02 eta: 1 day, 8:30:58 time: 0.2837 data_time: 0.0256 memory: 8198 grad_norm: 5.0264 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9858 loss: 1.9858 2022/08/02 19:56:14 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 1.0000e-02 eta: 1 day, 8:30:52 time: 0.2802 data_time: 0.0223 memory: 8198 grad_norm: 4.9361 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8213 loss: 1.8213 2022/08/02 19:56:20 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 1.0000e-02 eta: 1 day, 8:30:46 time: 0.2854 data_time: 0.0278 memory: 8198 grad_norm: 4.9572 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0233 loss: 2.0233 2022/08/02 19:56:25 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 1.0000e-02 eta: 1 day, 8:30:40 time: 0.2812 data_time: 0.0236 memory: 8198 grad_norm: 4.8607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7907 loss: 1.7907 2022/08/02 19:56:31 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 1.0000e-02 eta: 1 day, 8:30:34 time: 0.2833 data_time: 0.0236 memory: 8198 grad_norm: 4.9864 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9275 loss: 1.9275 2022/08/02 19:56:37 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 1.0000e-02 eta: 1 day, 8:30:29 time: 0.2912 data_time: 0.0257 memory: 8198 grad_norm: 5.0197 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7696 loss: 1.7696 2022/08/02 19:56:42 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 1.0000e-02 eta: 1 day, 8:30:23 time: 0.2824 data_time: 0.0233 memory: 8198 grad_norm: 4.9596 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7334 loss: 1.7334 2022/08/02 19:56:48 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 1.0000e-02 eta: 1 day, 8:30:17 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 5.0812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8262 loss: 1.8262 2022/08/02 19:56:54 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 1.0000e-02 eta: 1 day, 8:30:11 time: 0.2797 data_time: 0.0198 memory: 8198 grad_norm: 4.9439 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7810 loss: 1.7810 2022/08/02 19:56:59 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 1.0000e-02 eta: 1 day, 8:30:05 time: 0.2867 data_time: 0.0211 memory: 8198 grad_norm: 5.0938 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9484 loss: 1.9484 2022/08/02 19:57:05 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 1.0000e-02 eta: 1 day, 8:30:00 time: 0.2850 data_time: 0.0233 memory: 8198 grad_norm: 4.8375 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8557 loss: 1.8557 2022/08/02 19:57:11 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 1.0000e-02 eta: 1 day, 8:29:54 time: 0.2818 data_time: 0.0249 memory: 8198 grad_norm: 5.0311 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7321 loss: 1.7321 2022/08/02 19:57:16 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 1.0000e-02 eta: 1 day, 8:29:48 time: 0.2844 data_time: 0.0219 memory: 8198 grad_norm: 4.9823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7320 loss: 1.7320 2022/08/02 19:57:22 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 1.0000e-02 eta: 1 day, 8:29:42 time: 0.2825 data_time: 0.0231 memory: 8198 grad_norm: 4.9785 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9450 loss: 1.9450 2022/08/02 19:57:28 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 1.0000e-02 eta: 1 day, 8:29:36 time: 0.2803 data_time: 0.0207 memory: 8198 grad_norm: 5.1215 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9174 loss: 1.9174 2022/08/02 19:57:33 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 1.0000e-02 eta: 1 day, 8:29:30 time: 0.2833 data_time: 0.0204 memory: 8198 grad_norm: 4.9161 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8723 loss: 1.8723 2022/08/02 19:57:39 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 1.0000e-02 eta: 1 day, 8:29:24 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 4.9841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8872 loss: 1.8872 2022/08/02 19:57:45 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 1.0000e-02 eta: 1 day, 8:29:17 time: 0.2794 data_time: 0.0230 memory: 8198 grad_norm: 5.0338 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6862 loss: 1.6862 2022/08/02 19:57:50 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 1.0000e-02 eta: 1 day, 8:29:11 time: 0.2797 data_time: 0.0235 memory: 8198 grad_norm: 4.8961 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6590 loss: 1.6590 2022/08/02 19:57:56 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 1.0000e-02 eta: 1 day, 8:29:05 time: 0.2830 data_time: 0.0213 memory: 8198 grad_norm: 5.0611 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8147 loss: 1.8147 2022/08/02 19:58:02 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 1.0000e-02 eta: 1 day, 8:28:59 time: 0.2820 data_time: 0.0282 memory: 8198 grad_norm: 5.0610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0948 loss: 2.0948 2022/08/02 19:58:07 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 1.0000e-02 eta: 1 day, 8:28:54 time: 0.2886 data_time: 0.0217 memory: 8198 grad_norm: 4.9777 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7920 loss: 1.7920 2022/08/02 19:58:13 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 1.0000e-02 eta: 1 day, 8:28:48 time: 0.2851 data_time: 0.0261 memory: 8198 grad_norm: 4.9785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0035 loss: 2.0035 2022/08/02 19:58:19 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 1.0000e-02 eta: 1 day, 8:28:43 time: 0.2881 data_time: 0.0250 memory: 8198 grad_norm: 4.9884 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8038 loss: 1.8038 2022/08/02 19:58:24 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 1.0000e-02 eta: 1 day, 8:28:37 time: 0.2843 data_time: 0.0225 memory: 8198 grad_norm: 4.9143 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7015 loss: 1.7015 2022/08/02 19:58:30 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 1.0000e-02 eta: 1 day, 8:28:31 time: 0.2831 data_time: 0.0205 memory: 8198 grad_norm: 4.8002 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9400 loss: 1.9400 2022/08/02 19:58:36 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 1.0000e-02 eta: 1 day, 8:28:25 time: 0.2826 data_time: 0.0193 memory: 8198 grad_norm: 4.9423 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7026 loss: 1.7026 2022/08/02 19:58:41 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 1.0000e-02 eta: 1 day, 8:28:19 time: 0.2795 data_time: 0.0154 memory: 8198 grad_norm: 4.8832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8590 loss: 1.8590 2022/08/02 19:58:47 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 1.0000e-02 eta: 1 day, 8:28:13 time: 0.2806 data_time: 0.0222 memory: 8198 grad_norm: 4.9787 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8815 loss: 1.8815 2022/08/02 19:58:53 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 1.0000e-02 eta: 1 day, 8:28:06 time: 0.2805 data_time: 0.0251 memory: 8198 grad_norm: 5.0185 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6452 loss: 1.6452 2022/08/02 19:58:58 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 1.0000e-02 eta: 1 day, 8:28:00 time: 0.2829 data_time: 0.0248 memory: 8198 grad_norm: 4.9190 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7824 loss: 1.7824 2022/08/02 19:59:04 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 1.0000e-02 eta: 1 day, 8:27:55 time: 0.2856 data_time: 0.0257 memory: 8198 grad_norm: 4.9884 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6849 loss: 1.6849 2022/08/02 19:59:10 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 1.0000e-02 eta: 1 day, 8:27:48 time: 0.2794 data_time: 0.0208 memory: 8198 grad_norm: 4.9983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8221 loss: 1.8221 2022/08/02 19:59:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 19:59:16 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 1.0000e-02 eta: 1 day, 8:27:44 time: 0.2946 data_time: 0.0224 memory: 8198 grad_norm: 5.0233 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7219 loss: 1.7219 2022/08/02 19:59:21 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 1.0000e-02 eta: 1 day, 8:27:38 time: 0.2804 data_time: 0.0226 memory: 8198 grad_norm: 4.8813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7972 loss: 1.7972 2022/08/02 19:59:27 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 1.0000e-02 eta: 1 day, 8:27:32 time: 0.2840 data_time: 0.0229 memory: 8198 grad_norm: 4.9832 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7711 loss: 1.7711 2022/08/02 19:59:33 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 1.0000e-02 eta: 1 day, 8:27:26 time: 0.2879 data_time: 0.0263 memory: 8198 grad_norm: 5.0429 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6962 loss: 1.6962 2022/08/02 19:59:39 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 1.0000e-02 eta: 1 day, 8:27:22 time: 0.2956 data_time: 0.0275 memory: 8198 grad_norm: 5.0420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8428 loss: 1.8428 2022/08/02 19:59:44 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 1.0000e-02 eta: 1 day, 8:27:16 time: 0.2828 data_time: 0.0224 memory: 8198 grad_norm: 4.8965 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7229 loss: 1.7229 2022/08/02 19:59:50 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 1.0000e-02 eta: 1 day, 8:27:10 time: 0.2804 data_time: 0.0209 memory: 8198 grad_norm: 4.9918 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8654 loss: 1.8654 2022/08/02 19:59:56 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 1.0000e-02 eta: 1 day, 8:27:06 time: 0.2977 data_time: 0.0248 memory: 8198 grad_norm: 5.0227 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9002 loss: 1.9002 2022/08/02 20:00:01 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 1.0000e-02 eta: 1 day, 8:26:59 time: 0.2784 data_time: 0.0230 memory: 8198 grad_norm: 4.9999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7870 loss: 1.7870 2022/08/02 20:00:07 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 1.0000e-02 eta: 1 day, 8:26:53 time: 0.2854 data_time: 0.0241 memory: 8198 grad_norm: 5.0549 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9271 loss: 1.9271 2022/08/02 20:00:13 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 1.0000e-02 eta: 1 day, 8:26:48 time: 0.2904 data_time: 0.0247 memory: 8198 grad_norm: 5.0371 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8300 loss: 1.8300 2022/08/02 20:00:19 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 1.0000e-02 eta: 1 day, 8:26:45 time: 0.3025 data_time: 0.0237 memory: 8198 grad_norm: 5.0774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8555 loss: 1.8555 2022/08/02 20:00:25 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 1.0000e-02 eta: 1 day, 8:26:38 time: 0.2789 data_time: 0.0243 memory: 8198 grad_norm: 5.0924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8237 loss: 1.8237 2022/08/02 20:00:30 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 1.0000e-02 eta: 1 day, 8:26:33 time: 0.2869 data_time: 0.0333 memory: 8198 grad_norm: 4.9993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4590 loss: 1.4590 2022/08/02 20:00:36 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 1.0000e-02 eta: 1 day, 8:26:27 time: 0.2857 data_time: 0.0267 memory: 8198 grad_norm: 4.9409 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7773 loss: 1.7773 2022/08/02 20:00:42 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 1.0000e-02 eta: 1 day, 8:26:21 time: 0.2801 data_time: 0.0262 memory: 8198 grad_norm: 5.0631 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9188 loss: 1.9188 2022/08/02 20:00:47 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 1.0000e-02 eta: 1 day, 8:26:15 time: 0.2819 data_time: 0.0230 memory: 8198 grad_norm: 4.9671 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7278 loss: 1.7278 2022/08/02 20:00:53 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 1.0000e-02 eta: 1 day, 8:26:09 time: 0.2807 data_time: 0.0221 memory: 8198 grad_norm: 5.0484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8926 loss: 1.8926 2022/08/02 20:00:59 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 1.0000e-02 eta: 1 day, 8:26:03 time: 0.2865 data_time: 0.0214 memory: 8198 grad_norm: 4.9259 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9961 loss: 1.9961 2022/08/02 20:01:04 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 1.0000e-02 eta: 1 day, 8:25:57 time: 0.2776 data_time: 0.0214 memory: 8198 grad_norm: 5.1510 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8766 loss: 1.8766 2022/08/02 20:01:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:01:09 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 1.0000e-02 eta: 1 day, 8:25:57 time: 0.2593 data_time: 0.0152 memory: 8198 grad_norm: 5.2048 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.8758 loss: 1.8758 2022/08/02 20:01:17 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 1.0000e-02 eta: 1 day, 8:25:29 time: 0.4095 data_time: 0.1144 memory: 8198 grad_norm: 4.8298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8050 loss: 1.8050 2022/08/02 20:01:23 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 1.0000e-02 eta: 1 day, 8:25:23 time: 0.2832 data_time: 0.0196 memory: 8198 grad_norm: 4.9478 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7963 loss: 1.7963 2022/08/02 20:01:29 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 1.0000e-02 eta: 1 day, 8:25:17 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 5.0312 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7030 loss: 1.7030 2022/08/02 20:01:34 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 1.0000e-02 eta: 1 day, 8:25:11 time: 0.2831 data_time: 0.0232 memory: 8198 grad_norm: 4.9217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8687 loss: 1.8687 2022/08/02 20:01:40 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 1.0000e-02 eta: 1 day, 8:25:06 time: 0.2846 data_time: 0.0218 memory: 8198 grad_norm: 5.0133 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/08/02 20:01:46 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 1.0000e-02 eta: 1 day, 8:25:00 time: 0.2827 data_time: 0.0250 memory: 8198 grad_norm: 5.0916 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9014 loss: 1.9014 2022/08/02 20:01:51 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 1.0000e-02 eta: 1 day, 8:24:54 time: 0.2869 data_time: 0.0243 memory: 8198 grad_norm: 5.0588 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9862 loss: 1.9862 2022/08/02 20:01:57 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 1.0000e-02 eta: 1 day, 8:24:49 time: 0.2863 data_time: 0.0245 memory: 8198 grad_norm: 5.1565 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7847 loss: 1.7847 2022/08/02 20:02:03 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 1.0000e-02 eta: 1 day, 8:24:43 time: 0.2836 data_time: 0.0239 memory: 8198 grad_norm: 4.9429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6829 loss: 1.6829 2022/08/02 20:02:09 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 1.0000e-02 eta: 1 day, 8:24:38 time: 0.2898 data_time: 0.0241 memory: 8198 grad_norm: 4.9231 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8702 loss: 1.8702 2022/08/02 20:02:14 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 1.0000e-02 eta: 1 day, 8:24:31 time: 0.2811 data_time: 0.0220 memory: 8198 grad_norm: 4.9662 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8703 loss: 1.8703 2022/08/02 20:02:20 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 1.0000e-02 eta: 1 day, 8:24:26 time: 0.2846 data_time: 0.0255 memory: 8198 grad_norm: 4.9553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5271 loss: 1.5271 2022/08/02 20:02:26 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 1.0000e-02 eta: 1 day, 8:24:21 time: 0.2960 data_time: 0.0237 memory: 8198 grad_norm: 4.7858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7339 loss: 1.7339 2022/08/02 20:02:32 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 1.0000e-02 eta: 1 day, 8:24:15 time: 0.2802 data_time: 0.0221 memory: 8198 grad_norm: 5.0064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7183 loss: 1.7183 2022/08/02 20:02:37 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 1.0000e-02 eta: 1 day, 8:24:09 time: 0.2827 data_time: 0.0279 memory: 8198 grad_norm: 5.1403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8236 loss: 1.8236 2022/08/02 20:02:43 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 1.0000e-02 eta: 1 day, 8:24:03 time: 0.2801 data_time: 0.0243 memory: 8198 grad_norm: 5.0810 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8601 loss: 1.8601 2022/08/02 20:02:49 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 1.0000e-02 eta: 1 day, 8:23:57 time: 0.2828 data_time: 0.0203 memory: 8198 grad_norm: 5.1836 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9012 loss: 1.9012 2022/08/02 20:02:54 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 1.0000e-02 eta: 1 day, 8:23:51 time: 0.2820 data_time: 0.0219 memory: 8198 grad_norm: 4.9576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/08/02 20:03:00 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 1.0000e-02 eta: 1 day, 8:23:45 time: 0.2832 data_time: 0.0202 memory: 8198 grad_norm: 5.0880 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6836 loss: 1.6836 2022/08/02 20:03:05 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 1.0000e-02 eta: 1 day, 8:23:39 time: 0.2819 data_time: 0.0214 memory: 8198 grad_norm: 5.0802 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9516 loss: 1.9516 2022/08/02 20:03:11 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 1.0000e-02 eta: 1 day, 8:23:34 time: 0.2886 data_time: 0.0250 memory: 8198 grad_norm: 4.9592 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5343 loss: 1.5343 2022/08/02 20:03:17 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 1.0000e-02 eta: 1 day, 8:23:28 time: 0.2883 data_time: 0.0209 memory: 8198 grad_norm: 4.9945 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8293 loss: 1.8293 2022/08/02 20:03:23 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 1.0000e-02 eta: 1 day, 8:23:22 time: 0.2830 data_time: 0.0212 memory: 8198 grad_norm: 4.9365 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7672 loss: 1.7672 2022/08/02 20:03:28 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 1.0000e-02 eta: 1 day, 8:23:16 time: 0.2805 data_time: 0.0206 memory: 8198 grad_norm: 4.9338 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7018 loss: 1.7018 2022/08/02 20:03:34 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 1.0000e-02 eta: 1 day, 8:23:10 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 5.0873 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9185 loss: 1.9185 2022/08/02 20:03:40 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 1.0000e-02 eta: 1 day, 8:23:04 time: 0.2845 data_time: 0.0262 memory: 8198 grad_norm: 4.9177 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.7011 loss: 1.7011 2022/08/02 20:03:45 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 1.0000e-02 eta: 1 day, 8:22:59 time: 0.2838 data_time: 0.0270 memory: 8198 grad_norm: 5.0070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7304 loss: 1.7304 2022/08/02 20:03:51 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 1.0000e-02 eta: 1 day, 8:22:53 time: 0.2903 data_time: 0.0327 memory: 8198 grad_norm: 5.0198 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8030 loss: 1.8030 2022/08/02 20:03:57 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 1.0000e-02 eta: 1 day, 8:22:48 time: 0.2841 data_time: 0.0253 memory: 8198 grad_norm: 5.0168 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8198 loss: 1.8198 2022/08/02 20:04:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:04:02 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 1.0000e-02 eta: 1 day, 8:22:41 time: 0.2776 data_time: 0.0206 memory: 8198 grad_norm: 4.9921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7383 loss: 1.7383 2022/08/02 20:04:08 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 1.0000e-02 eta: 1 day, 8:22:35 time: 0.2812 data_time: 0.0229 memory: 8198 grad_norm: 5.1134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5339 loss: 1.5339 2022/08/02 20:04:14 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 1.0000e-02 eta: 1 day, 8:22:29 time: 0.2802 data_time: 0.0209 memory: 8198 grad_norm: 5.1056 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6934 loss: 1.6934 2022/08/02 20:04:19 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 1.0000e-02 eta: 1 day, 8:22:22 time: 0.2793 data_time: 0.0228 memory: 8198 grad_norm: 4.8539 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5589 loss: 1.5589 2022/08/02 20:04:25 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 1.0000e-02 eta: 1 day, 8:22:16 time: 0.2783 data_time: 0.0251 memory: 8198 grad_norm: 4.9346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/08/02 20:04:30 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 1.0000e-02 eta: 1 day, 8:22:10 time: 0.2828 data_time: 0.0245 memory: 8198 grad_norm: 5.0195 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9084 loss: 1.9084 2022/08/02 20:04:36 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 1.0000e-02 eta: 1 day, 8:22:04 time: 0.2801 data_time: 0.0258 memory: 8198 grad_norm: 4.8614 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7316 loss: 1.7316 2022/08/02 20:04:42 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 1.0000e-02 eta: 1 day, 8:21:58 time: 0.2845 data_time: 0.0280 memory: 8198 grad_norm: 5.0202 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8541 loss: 1.8541 2022/08/02 20:04:48 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 1.0000e-02 eta: 1 day, 8:21:53 time: 0.2880 data_time: 0.0279 memory: 8198 grad_norm: 4.9987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8902 loss: 1.8902 2022/08/02 20:04:53 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 1.0000e-02 eta: 1 day, 8:21:46 time: 0.2805 data_time: 0.0228 memory: 8198 grad_norm: 5.0181 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9237 loss: 1.9237 2022/08/02 20:04:59 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 1.0000e-02 eta: 1 day, 8:21:41 time: 0.2838 data_time: 0.0233 memory: 8198 grad_norm: 5.0069 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8898 loss: 1.8898 2022/08/02 20:05:05 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 1.0000e-02 eta: 1 day, 8:21:35 time: 0.2827 data_time: 0.0275 memory: 8198 grad_norm: 4.9007 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9599 loss: 1.9599 2022/08/02 20:05:11 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 1.0000e-02 eta: 1 day, 8:21:30 time: 0.2981 data_time: 0.0216 memory: 8198 grad_norm: 4.9592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7751 loss: 1.7751 2022/08/02 20:05:16 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 1.0000e-02 eta: 1 day, 8:21:24 time: 0.2816 data_time: 0.0241 memory: 8198 grad_norm: 4.8896 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8762 loss: 1.8762 2022/08/02 20:05:22 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 1.0000e-02 eta: 1 day, 8:21:19 time: 0.2873 data_time: 0.0350 memory: 8198 grad_norm: 4.9710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/08/02 20:05:28 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 1.0000e-02 eta: 1 day, 8:21:13 time: 0.2850 data_time: 0.0230 memory: 8198 grad_norm: 5.0803 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0817 loss: 2.0817 2022/08/02 20:05:33 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 1.0000e-02 eta: 1 day, 8:21:07 time: 0.2794 data_time: 0.0244 memory: 8198 grad_norm: 5.1436 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9085 loss: 1.9085 2022/08/02 20:05:39 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 1.0000e-02 eta: 1 day, 8:21:01 time: 0.2797 data_time: 0.0184 memory: 8198 grad_norm: 5.0122 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8486 loss: 1.8486 2022/08/02 20:05:44 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 1.0000e-02 eta: 1 day, 8:20:55 time: 0.2828 data_time: 0.0256 memory: 8198 grad_norm: 4.9038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9202 loss: 1.9202 2022/08/02 20:05:50 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 1.0000e-02 eta: 1 day, 8:20:49 time: 0.2837 data_time: 0.0212 memory: 8198 grad_norm: 4.8301 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6941 loss: 1.6941 2022/08/02 20:05:56 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 1.0000e-02 eta: 1 day, 8:20:43 time: 0.2837 data_time: 0.0222 memory: 8198 grad_norm: 4.9768 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9090 loss: 1.9090 2022/08/02 20:06:01 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 1.0000e-02 eta: 1 day, 8:20:37 time: 0.2809 data_time: 0.0223 memory: 8198 grad_norm: 4.9507 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7411 loss: 1.7411 2022/08/02 20:06:07 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 1.0000e-02 eta: 1 day, 8:20:31 time: 0.2825 data_time: 0.0224 memory: 8198 grad_norm: 4.7658 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5795 loss: 1.5795 2022/08/02 20:06:13 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 1.0000e-02 eta: 1 day, 8:20:25 time: 0.2839 data_time: 0.0214 memory: 8198 grad_norm: 5.0566 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7718 loss: 1.7718 2022/08/02 20:06:19 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 1.0000e-02 eta: 1 day, 8:20:19 time: 0.2860 data_time: 0.0227 memory: 8198 grad_norm: 5.0048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5833 loss: 1.5833 2022/08/02 20:06:24 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 1.0000e-02 eta: 1 day, 8:20:13 time: 0.2807 data_time: 0.0214 memory: 8198 grad_norm: 4.9404 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9730 loss: 1.9730 2022/08/02 20:06:30 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 1.0000e-02 eta: 1 day, 8:20:07 time: 0.2819 data_time: 0.0233 memory: 8198 grad_norm: 4.9015 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7229 loss: 1.7229 2022/08/02 20:06:36 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 1.0000e-02 eta: 1 day, 8:20:02 time: 0.2857 data_time: 0.0230 memory: 8198 grad_norm: 5.0994 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5826 loss: 1.5826 2022/08/02 20:06:41 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 1.0000e-02 eta: 1 day, 8:19:55 time: 0.2801 data_time: 0.0207 memory: 8198 grad_norm: 4.9125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7569 loss: 1.7569 2022/08/02 20:06:47 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 1.0000e-02 eta: 1 day, 8:19:50 time: 0.2852 data_time: 0.0206 memory: 8198 grad_norm: 5.0563 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8241 loss: 1.8241 2022/08/02 20:06:53 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 1.0000e-02 eta: 1 day, 8:19:44 time: 0.2861 data_time: 0.0275 memory: 8198 grad_norm: 5.0473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8857 loss: 1.8857 2022/08/02 20:06:58 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 1.0000e-02 eta: 1 day, 8:19:38 time: 0.2791 data_time: 0.0230 memory: 8198 grad_norm: 5.0775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9063 loss: 1.9063 2022/08/02 20:07:04 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 1.0000e-02 eta: 1 day, 8:19:32 time: 0.2813 data_time: 0.0221 memory: 8198 grad_norm: 5.0100 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8473 loss: 1.8473 2022/08/02 20:07:09 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 1.0000e-02 eta: 1 day, 8:19:26 time: 0.2836 data_time: 0.0245 memory: 8198 grad_norm: 4.8877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7655 loss: 1.7655 2022/08/02 20:07:15 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 1.0000e-02 eta: 1 day, 8:19:20 time: 0.2873 data_time: 0.0250 memory: 8198 grad_norm: 4.9847 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6409 loss: 1.6409 2022/08/02 20:07:21 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 1.0000e-02 eta: 1 day, 8:19:15 time: 0.2840 data_time: 0.0224 memory: 8198 grad_norm: 5.1190 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8232 loss: 1.8232 2022/08/02 20:07:27 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 1.0000e-02 eta: 1 day, 8:19:10 time: 0.2906 data_time: 0.0304 memory: 8198 grad_norm: 4.9010 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8102 loss: 1.8102 2022/08/02 20:07:33 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 1.0000e-02 eta: 1 day, 8:19:06 time: 0.3019 data_time: 0.0254 memory: 8198 grad_norm: 5.1161 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9850 loss: 1.9850 2022/08/02 20:07:38 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 1.0000e-02 eta: 1 day, 8:19:00 time: 0.2843 data_time: 0.0225 memory: 8198 grad_norm: 4.9540 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7181 loss: 1.7181 2022/08/02 20:07:44 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 1.0000e-02 eta: 1 day, 8:18:54 time: 0.2851 data_time: 0.0213 memory: 8198 grad_norm: 5.1340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8313 loss: 1.8313 2022/08/02 20:07:50 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 1.0000e-02 eta: 1 day, 8:18:50 time: 0.2948 data_time: 0.0223 memory: 8198 grad_norm: 4.9833 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0192 loss: 2.0192 2022/08/02 20:07:56 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 1.0000e-02 eta: 1 day, 8:18:43 time: 0.2799 data_time: 0.0237 memory: 8198 grad_norm: 5.1249 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7217 loss: 1.7217 2022/08/02 20:08:01 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 1.0000e-02 eta: 1 day, 8:18:38 time: 0.2876 data_time: 0.0276 memory: 8198 grad_norm: 5.0342 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0298 loss: 2.0298 2022/08/02 20:08:07 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 1.0000e-02 eta: 1 day, 8:18:33 time: 0.2916 data_time: 0.0224 memory: 8198 grad_norm: 4.9116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6786 loss: 1.6786 2022/08/02 20:08:13 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 1.0000e-02 eta: 1 day, 8:18:27 time: 0.2794 data_time: 0.0267 memory: 8198 grad_norm: 5.0310 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8872 loss: 1.8872 2022/08/02 20:08:19 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 1.0000e-02 eta: 1 day, 8:18:21 time: 0.2840 data_time: 0.0309 memory: 8198 grad_norm: 5.0362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9568 loss: 1.9568 2022/08/02 20:08:24 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 1.0000e-02 eta: 1 day, 8:18:15 time: 0.2820 data_time: 0.0215 memory: 8198 grad_norm: 5.0309 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7405 loss: 1.7405 2022/08/02 20:08:30 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 1.0000e-02 eta: 1 day, 8:18:09 time: 0.2821 data_time: 0.0218 memory: 8198 grad_norm: 5.1908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8371 loss: 1.8371 2022/08/02 20:08:35 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 1.0000e-02 eta: 1 day, 8:18:02 time: 0.2786 data_time: 0.0288 memory: 8198 grad_norm: 4.9873 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8080 loss: 1.8080 2022/08/02 20:08:41 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 1.0000e-02 eta: 1 day, 8:17:57 time: 0.2910 data_time: 0.0264 memory: 8198 grad_norm: 4.8015 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9678 loss: 1.9678 2022/08/02 20:08:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:08:47 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 1.0000e-02 eta: 1 day, 8:17:51 time: 0.2813 data_time: 0.0268 memory: 8198 grad_norm: 4.9899 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7052 loss: 1.7052 2022/08/02 20:08:52 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 1.0000e-02 eta: 1 day, 8:17:45 time: 0.2782 data_time: 0.0223 memory: 8198 grad_norm: 4.9590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7738 loss: 1.7738 2022/08/02 20:08:58 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 1.0000e-02 eta: 1 day, 8:17:39 time: 0.2862 data_time: 0.0255 memory: 8198 grad_norm: 4.9484 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7114 loss: 1.7114 2022/08/02 20:09:04 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 1.0000e-02 eta: 1 day, 8:17:33 time: 0.2814 data_time: 0.0222 memory: 8198 grad_norm: 5.0187 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9221 loss: 1.9221 2022/08/02 20:09:09 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 1.0000e-02 eta: 1 day, 8:17:27 time: 0.2804 data_time: 0.0207 memory: 8198 grad_norm: 4.9171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7466 loss: 1.7466 2022/08/02 20:09:15 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 1.0000e-02 eta: 1 day, 8:17:21 time: 0.2865 data_time: 0.0201 memory: 8198 grad_norm: 5.1573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9767 loss: 1.9767 2022/08/02 20:09:21 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 1.0000e-02 eta: 1 day, 8:17:15 time: 0.2810 data_time: 0.0198 memory: 8198 grad_norm: 5.1427 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6329 loss: 1.6329 2022/08/02 20:09:27 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 1.0000e-02 eta: 1 day, 8:17:10 time: 0.2931 data_time: 0.0251 memory: 8198 grad_norm: 4.9902 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8137 loss: 1.8137 2022/08/02 20:09:32 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 1.0000e-02 eta: 1 day, 8:17:04 time: 0.2795 data_time: 0.0184 memory: 8198 grad_norm: 4.9491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6897 loss: 1.6897 2022/08/02 20:09:38 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 1.0000e-02 eta: 1 day, 8:16:58 time: 0.2820 data_time: 0.0199 memory: 8198 grad_norm: 4.8744 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6197 loss: 1.6197 2022/08/02 20:09:44 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 1.0000e-02 eta: 1 day, 8:16:52 time: 0.2833 data_time: 0.0253 memory: 8198 grad_norm: 5.0431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8399 loss: 1.8399 2022/08/02 20:09:49 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 1.0000e-02 eta: 1 day, 8:16:46 time: 0.2817 data_time: 0.0269 memory: 8198 grad_norm: 5.0182 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9393 loss: 1.9393 2022/08/02 20:09:55 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 1.0000e-02 eta: 1 day, 8:16:40 time: 0.2793 data_time: 0.0205 memory: 8198 grad_norm: 4.9330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7783 loss: 1.7783 2022/08/02 20:10:01 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 1.0000e-02 eta: 1 day, 8:16:34 time: 0.2858 data_time: 0.0215 memory: 8198 grad_norm: 4.8399 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8100 loss: 1.8100 2022/08/02 20:10:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:10:05 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 1.0000e-02 eta: 1 day, 8:16:34 time: 0.2548 data_time: 0.0182 memory: 8198 grad_norm: 5.1450 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7870 loss: 1.7870 2022/08/02 20:10:13 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 1.0000e-02 eta: 1 day, 8:16:05 time: 0.3951 data_time: 0.1231 memory: 8198 grad_norm: 5.0145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6626 loss: 1.6626 2022/08/02 20:10:20 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 1.0000e-02 eta: 1 day, 8:16:03 time: 0.3188 data_time: 0.0186 memory: 8198 grad_norm: 5.0312 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7945 loss: 1.7945 2022/08/02 20:10:26 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 1.0000e-02 eta: 1 day, 8:15:58 time: 0.2881 data_time: 0.0214 memory: 8198 grad_norm: 4.8360 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6513 loss: 1.6513 2022/08/02 20:10:31 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 1.0000e-02 eta: 1 day, 8:15:52 time: 0.2793 data_time: 0.0200 memory: 8198 grad_norm: 4.9105 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8932 loss: 1.8932 2022/08/02 20:10:37 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 1.0000e-02 eta: 1 day, 8:15:47 time: 0.2966 data_time: 0.0215 memory: 8198 grad_norm: 4.9212 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7195 loss: 1.7195 2022/08/02 20:10:43 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 1.0000e-02 eta: 1 day, 8:15:41 time: 0.2787 data_time: 0.0263 memory: 8198 grad_norm: 5.0551 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8350 loss: 1.8350 2022/08/02 20:10:48 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 1.0000e-02 eta: 1 day, 8:15:36 time: 0.2913 data_time: 0.0266 memory: 8198 grad_norm: 4.9142 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7451 loss: 1.7451 2022/08/02 20:10:54 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 1.0000e-02 eta: 1 day, 8:15:30 time: 0.2829 data_time: 0.0194 memory: 8198 grad_norm: 4.9031 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4909 loss: 1.4909 2022/08/02 20:11:00 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 1.0000e-02 eta: 1 day, 8:15:24 time: 0.2800 data_time: 0.0220 memory: 8198 grad_norm: 4.9704 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7620 loss: 1.7620 2022/08/02 20:11:05 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 1.0000e-02 eta: 1 day, 8:15:18 time: 0.2801 data_time: 0.0238 memory: 8198 grad_norm: 4.9282 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8597 loss: 1.8597 2022/08/02 20:11:11 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 1.0000e-02 eta: 1 day, 8:15:12 time: 0.2836 data_time: 0.0251 memory: 8198 grad_norm: 5.0189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7168 loss: 1.7168 2022/08/02 20:11:17 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 1.0000e-02 eta: 1 day, 8:15:07 time: 0.2966 data_time: 0.0236 memory: 8198 grad_norm: 4.9692 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5684 loss: 1.5684 2022/08/02 20:11:23 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 1.0000e-02 eta: 1 day, 8:15:01 time: 0.2824 data_time: 0.0246 memory: 8198 grad_norm: 4.9981 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1937 loss: 2.1937 2022/08/02 20:11:29 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 1.0000e-02 eta: 1 day, 8:14:57 time: 0.2961 data_time: 0.0215 memory: 8198 grad_norm: 4.8967 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5713 loss: 1.5713 2022/08/02 20:11:34 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 1.0000e-02 eta: 1 day, 8:14:50 time: 0.2774 data_time: 0.0225 memory: 8198 grad_norm: 4.9940 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7168 loss: 1.7168 2022/08/02 20:11:40 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 1.0000e-02 eta: 1 day, 8:14:44 time: 0.2802 data_time: 0.0220 memory: 8198 grad_norm: 4.9104 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6823 loss: 1.6823 2022/08/02 20:11:45 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 1.0000e-02 eta: 1 day, 8:14:38 time: 0.2830 data_time: 0.0266 memory: 8198 grad_norm: 5.0255 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8829 loss: 1.8829 2022/08/02 20:11:51 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 1.0000e-02 eta: 1 day, 8:14:33 time: 0.2870 data_time: 0.0271 memory: 8198 grad_norm: 4.8796 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7474 loss: 1.7474 2022/08/02 20:11:57 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 1.0000e-02 eta: 1 day, 8:14:28 time: 0.2964 data_time: 0.0286 memory: 8198 grad_norm: 5.0227 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9509 loss: 1.9509 2022/08/02 20:12:03 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 1.0000e-02 eta: 1 day, 8:14:22 time: 0.2795 data_time: 0.0215 memory: 8198 grad_norm: 5.0423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5398 loss: 1.5398 2022/08/02 20:12:08 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 1.0000e-02 eta: 1 day, 8:14:16 time: 0.2845 data_time: 0.0221 memory: 8198 grad_norm: 4.9782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7019 loss: 1.7019 2022/08/02 20:12:14 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 1.0000e-02 eta: 1 day, 8:14:11 time: 0.2874 data_time: 0.0294 memory: 8198 grad_norm: 4.9031 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9007 loss: 1.9007 2022/08/02 20:12:20 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 1.0000e-02 eta: 1 day, 8:14:05 time: 0.2824 data_time: 0.0250 memory: 8198 grad_norm: 4.7912 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7769 loss: 1.7769 2022/08/02 20:12:25 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 1.0000e-02 eta: 1 day, 8:13:59 time: 0.2843 data_time: 0.0226 memory: 8198 grad_norm: 4.9332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8446 loss: 1.8446 2022/08/02 20:12:31 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 1.0000e-02 eta: 1 day, 8:13:54 time: 0.2872 data_time: 0.0217 memory: 8198 grad_norm: 5.0245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8508 loss: 1.8508 2022/08/02 20:12:37 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 1.0000e-02 eta: 1 day, 8:13:48 time: 0.2828 data_time: 0.0238 memory: 8198 grad_norm: 4.9369 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7914 loss: 1.7914 2022/08/02 20:12:43 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 1.0000e-02 eta: 1 day, 8:13:42 time: 0.2819 data_time: 0.0222 memory: 8198 grad_norm: 5.0123 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7213 loss: 1.7213 2022/08/02 20:12:48 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 1.0000e-02 eta: 1 day, 8:13:36 time: 0.2887 data_time: 0.0265 memory: 8198 grad_norm: 4.9443 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8897 loss: 1.8897 2022/08/02 20:12:54 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 1.0000e-02 eta: 1 day, 8:13:30 time: 0.2818 data_time: 0.0206 memory: 8198 grad_norm: 4.9907 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8218 loss: 1.8218 2022/08/02 20:13:00 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 1.0000e-02 eta: 1 day, 8:13:24 time: 0.2809 data_time: 0.0238 memory: 8198 grad_norm: 5.0155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7414 loss: 1.7414 2022/08/02 20:13:05 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 1.0000e-02 eta: 1 day, 8:13:18 time: 0.2849 data_time: 0.0260 memory: 8198 grad_norm: 5.1993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7695 loss: 1.7695 2022/08/02 20:13:11 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 1.0000e-02 eta: 1 day, 8:13:15 time: 0.3045 data_time: 0.0245 memory: 8198 grad_norm: 4.9213 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8356 loss: 1.8356 2022/08/02 20:13:17 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 1.0000e-02 eta: 1 day, 8:13:09 time: 0.2853 data_time: 0.0245 memory: 8198 grad_norm: 4.8316 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6926 loss: 1.6926 2022/08/02 20:13:23 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 1.0000e-02 eta: 1 day, 8:13:03 time: 0.2796 data_time: 0.0229 memory: 8198 grad_norm: 5.0260 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7708 loss: 1.7708 2022/08/02 20:13:28 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 1.0000e-02 eta: 1 day, 8:12:57 time: 0.2830 data_time: 0.0167 memory: 8198 grad_norm: 4.9238 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7715 loss: 1.7715 2022/08/02 20:13:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:13:34 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 1.0000e-02 eta: 1 day, 8:12:51 time: 0.2842 data_time: 0.0279 memory: 8198 grad_norm: 5.0431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7504 loss: 1.7504 2022/08/02 20:13:40 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 1.0000e-02 eta: 1 day, 8:12:45 time: 0.2836 data_time: 0.0253 memory: 8198 grad_norm: 5.0187 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7719 loss: 1.7719 2022/08/02 20:13:45 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 1.0000e-02 eta: 1 day, 8:12:39 time: 0.2829 data_time: 0.0231 memory: 8198 grad_norm: 5.0475 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7892 loss: 1.7892 2022/08/02 20:13:51 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 1.0000e-02 eta: 1 day, 8:12:34 time: 0.2868 data_time: 0.0235 memory: 8198 grad_norm: 4.9525 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6909 loss: 1.6909 2022/08/02 20:13:57 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 1.0000e-02 eta: 1 day, 8:12:29 time: 0.2932 data_time: 0.0220 memory: 8198 grad_norm: 4.9792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.7494 loss: 1.7494 2022/08/02 20:14:03 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 1.0000e-02 eta: 1 day, 8:12:23 time: 0.2807 data_time: 0.0205 memory: 8198 grad_norm: 5.0106 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7201 loss: 1.7201 2022/08/02 20:14:08 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 1.0000e-02 eta: 1 day, 8:12:17 time: 0.2831 data_time: 0.0254 memory: 8198 grad_norm: 5.0670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0389 loss: 2.0389 2022/08/02 20:14:14 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 1.0000e-02 eta: 1 day, 8:12:11 time: 0.2804 data_time: 0.0241 memory: 8198 grad_norm: 5.0793 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7842 loss: 1.7842 2022/08/02 20:14:20 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 1.0000e-02 eta: 1 day, 8:12:05 time: 0.2826 data_time: 0.0230 memory: 8198 grad_norm: 4.9031 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6851 loss: 1.6851 2022/08/02 20:14:25 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 1.0000e-02 eta: 1 day, 8:11:59 time: 0.2839 data_time: 0.0242 memory: 8198 grad_norm: 4.9522 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7970 loss: 1.7970 2022/08/02 20:14:31 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 1.0000e-02 eta: 1 day, 8:11:53 time: 0.2825 data_time: 0.0228 memory: 8198 grad_norm: 4.9748 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7999 loss: 1.7999 2022/08/02 20:14:37 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 1.0000e-02 eta: 1 day, 8:11:48 time: 0.2901 data_time: 0.0220 memory: 8198 grad_norm: 4.9270 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7878 loss: 1.7878 2022/08/02 20:14:42 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 1.0000e-02 eta: 1 day, 8:11:42 time: 0.2822 data_time: 0.0241 memory: 8198 grad_norm: 5.1178 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8574 loss: 1.8574 2022/08/02 20:14:48 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 1.0000e-02 eta: 1 day, 8:11:37 time: 0.2880 data_time: 0.0325 memory: 8198 grad_norm: 4.9956 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8305 loss: 1.8305 2022/08/02 20:14:54 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 1.0000e-02 eta: 1 day, 8:11:30 time: 0.2797 data_time: 0.0220 memory: 8198 grad_norm: 4.8662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6213 loss: 1.6213 2022/08/02 20:15:00 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 1.0000e-02 eta: 1 day, 8:11:25 time: 0.2871 data_time: 0.0246 memory: 8198 grad_norm: 4.9391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6099 loss: 1.6099 2022/08/02 20:15:05 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 1.0000e-02 eta: 1 day, 8:11:19 time: 0.2805 data_time: 0.0203 memory: 8198 grad_norm: 5.1044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0336 loss: 2.0336 2022/08/02 20:15:11 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 1.0000e-02 eta: 1 day, 8:11:13 time: 0.2846 data_time: 0.0195 memory: 8198 grad_norm: 4.8533 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6811 loss: 1.6811 2022/08/02 20:15:17 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 1.0000e-02 eta: 1 day, 8:11:08 time: 0.2907 data_time: 0.0241 memory: 8198 grad_norm: 4.8561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9035 loss: 1.9035 2022/08/02 20:15:22 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 1.0000e-02 eta: 1 day, 8:11:02 time: 0.2787 data_time: 0.0219 memory: 8198 grad_norm: 4.9919 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8661 loss: 1.8661 2022/08/02 20:15:28 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 1.0000e-02 eta: 1 day, 8:10:56 time: 0.2879 data_time: 0.0260 memory: 8198 grad_norm: 4.9951 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6742 loss: 1.6742 2022/08/02 20:15:34 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 1.0000e-02 eta: 1 day, 8:10:50 time: 0.2815 data_time: 0.0222 memory: 8198 grad_norm: 4.9973 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7690 loss: 1.7690 2022/08/02 20:15:39 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 1.0000e-02 eta: 1 day, 8:10:44 time: 0.2831 data_time: 0.0202 memory: 8198 grad_norm: 5.0255 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8230 loss: 1.8230 2022/08/02 20:15:45 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 1.0000e-02 eta: 1 day, 8:10:38 time: 0.2808 data_time: 0.0206 memory: 8198 grad_norm: 5.0305 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9568 loss: 1.9568 2022/08/02 20:15:51 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 1.0000e-02 eta: 1 day, 8:10:32 time: 0.2852 data_time: 0.0214 memory: 8198 grad_norm: 4.8365 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7339 loss: 1.7339 2022/08/02 20:15:56 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 1.0000e-02 eta: 1 day, 8:10:27 time: 0.2859 data_time: 0.0210 memory: 8198 grad_norm: 5.0728 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8508 loss: 1.8508 2022/08/02 20:16:02 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 1.0000e-02 eta: 1 day, 8:10:21 time: 0.2803 data_time: 0.0217 memory: 8198 grad_norm: 4.9891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0240 loss: 2.0240 2022/08/02 20:16:08 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 1.0000e-02 eta: 1 day, 8:10:15 time: 0.2828 data_time: 0.0201 memory: 8198 grad_norm: 4.8958 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8224 loss: 1.8224 2022/08/02 20:16:13 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 1.0000e-02 eta: 1 day, 8:10:09 time: 0.2806 data_time: 0.0230 memory: 8198 grad_norm: 4.8365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8314 loss: 1.8314 2022/08/02 20:16:19 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 1.0000e-02 eta: 1 day, 8:10:03 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 4.9054 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9652 loss: 1.9652 2022/08/02 20:16:25 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 1.0000e-02 eta: 1 day, 8:09:57 time: 0.2832 data_time: 0.0226 memory: 8198 grad_norm: 4.9997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9693 loss: 1.9693 2022/08/02 20:16:30 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 1.0000e-02 eta: 1 day, 8:09:51 time: 0.2828 data_time: 0.0249 memory: 8198 grad_norm: 5.0539 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7268 loss: 1.7268 2022/08/02 20:16:36 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 1.0000e-02 eta: 1 day, 8:09:45 time: 0.2830 data_time: 0.0262 memory: 8198 grad_norm: 5.0419 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6847 loss: 1.6847 2022/08/02 20:16:42 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 1.0000e-02 eta: 1 day, 8:09:40 time: 0.2916 data_time: 0.0199 memory: 8198 grad_norm: 4.8436 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7130 loss: 1.7130 2022/08/02 20:16:47 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 1.0000e-02 eta: 1 day, 8:09:34 time: 0.2838 data_time: 0.0227 memory: 8198 grad_norm: 5.0307 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7922 loss: 1.7922 2022/08/02 20:16:53 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 1.0000e-02 eta: 1 day, 8:09:29 time: 0.2905 data_time: 0.0339 memory: 8198 grad_norm: 5.0092 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8810 loss: 1.8810 2022/08/02 20:16:59 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 1.0000e-02 eta: 1 day, 8:09:24 time: 0.2884 data_time: 0.0290 memory: 8198 grad_norm: 4.9386 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0653 loss: 2.0653 2022/08/02 20:17:05 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 1.0000e-02 eta: 1 day, 8:09:18 time: 0.2822 data_time: 0.0202 memory: 8198 grad_norm: 4.9464 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9676 loss: 1.9676 2022/08/02 20:17:10 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 1.0000e-02 eta: 1 day, 8:09:12 time: 0.2845 data_time: 0.0272 memory: 8198 grad_norm: 5.0503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8469 loss: 1.8469 2022/08/02 20:17:16 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 1.0000e-02 eta: 1 day, 8:09:06 time: 0.2850 data_time: 0.0189 memory: 8198 grad_norm: 4.9305 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0579 loss: 2.0579 2022/08/02 20:17:22 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 1.0000e-02 eta: 1 day, 8:09:01 time: 0.2897 data_time: 0.0309 memory: 8198 grad_norm: 4.8153 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6006 loss: 1.6006 2022/08/02 20:17:28 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 1.0000e-02 eta: 1 day, 8:08:55 time: 0.2827 data_time: 0.0245 memory: 8198 grad_norm: 5.0810 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9588 loss: 1.9588 2022/08/02 20:17:33 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 1.0000e-02 eta: 1 day, 8:08:51 time: 0.2945 data_time: 0.0259 memory: 8198 grad_norm: 5.0603 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8064 loss: 1.8064 2022/08/02 20:17:39 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 1.0000e-02 eta: 1 day, 8:08:45 time: 0.2838 data_time: 0.0220 memory: 8198 grad_norm: 5.1311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6849 loss: 1.6849 2022/08/02 20:17:45 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 1.0000e-02 eta: 1 day, 8:08:38 time: 0.2785 data_time: 0.0255 memory: 8198 grad_norm: 5.0767 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8080 loss: 1.8080 2022/08/02 20:17:50 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 1.0000e-02 eta: 1 day, 8:08:33 time: 0.2854 data_time: 0.0202 memory: 8198 grad_norm: 5.0332 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6103 loss: 1.6103 2022/08/02 20:17:56 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 1.0000e-02 eta: 1 day, 8:08:27 time: 0.2834 data_time: 0.0248 memory: 8198 grad_norm: 5.0381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6588 loss: 1.6588 2022/08/02 20:18:02 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 1.0000e-02 eta: 1 day, 8:08:21 time: 0.2795 data_time: 0.0206 memory: 8198 grad_norm: 4.9677 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7981 loss: 1.7981 2022/08/02 20:18:07 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 1.0000e-02 eta: 1 day, 8:08:15 time: 0.2816 data_time: 0.0271 memory: 8198 grad_norm: 4.9098 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7724 loss: 1.7724 2022/08/02 20:18:13 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 1.0000e-02 eta: 1 day, 8:08:09 time: 0.2821 data_time: 0.0196 memory: 8198 grad_norm: 4.9565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7767 loss: 1.7767 2022/08/02 20:18:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:18:19 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 1.0000e-02 eta: 1 day, 8:08:03 time: 0.2909 data_time: 0.0221 memory: 8198 grad_norm: 4.9016 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6697 loss: 1.6697 2022/08/02 20:18:24 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 1.0000e-02 eta: 1 day, 8:07:57 time: 0.2799 data_time: 0.0206 memory: 8198 grad_norm: 5.0327 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8182 loss: 1.8182 2022/08/02 20:18:30 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 1.0000e-02 eta: 1 day, 8:07:52 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 5.0775 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8521 loss: 1.8521 2022/08/02 20:18:36 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 1.0000e-02 eta: 1 day, 8:07:46 time: 0.2838 data_time: 0.0218 memory: 8198 grad_norm: 4.8830 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/08/02 20:18:42 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 1.0000e-02 eta: 1 day, 8:07:40 time: 0.2854 data_time: 0.0256 memory: 8198 grad_norm: 4.9718 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7622 loss: 1.7622 2022/08/02 20:18:47 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 1.0000e-02 eta: 1 day, 8:07:34 time: 0.2836 data_time: 0.0188 memory: 8198 grad_norm: 5.0328 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8360 loss: 1.8360 2022/08/02 20:18:53 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 1.0000e-02 eta: 1 day, 8:07:28 time: 0.2822 data_time: 0.0268 memory: 8198 grad_norm: 4.9942 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0172 loss: 2.0172 2022/08/02 20:18:58 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 1.0000e-02 eta: 1 day, 8:07:22 time: 0.2770 data_time: 0.0224 memory: 8198 grad_norm: 4.8500 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6861 loss: 1.6861 2022/08/02 20:19:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:19:03 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 1.0000e-02 eta: 1 day, 8:07:22 time: 0.2548 data_time: 0.0146 memory: 8198 grad_norm: 5.0160 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8768 loss: 1.8768 2022/08/02 20:19:03 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/02 20:19:12 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:00:44 time: 0.3262 data_time: 0.2362 memory: 1514 2022/08/02 20:19:16 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:00:26 time: 0.2344 data_time: 0.1480 memory: 1514 2022/08/02 20:19:23 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:00:28 time: 0.3039 data_time: 0.2159 memory: 1514 2022/08/02 20:19:27 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:18 time: 0.2405 data_time: 0.1436 memory: 1514 2022/08/02 20:19:34 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:16 time: 0.3079 data_time: 0.2205 memory: 1514 2022/08/02 20:19:38 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:08 time: 0.2381 data_time: 0.1508 memory: 1514 2022/08/02 20:19:44 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:04 time: 0.2968 data_time: 0.2145 memory: 1514 2022/08/02 20:19:49 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.6286 acc/top5: 0.8417 acc/mean1: 0.6284 2022/08/02 20:19:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_36.pth is removed 2022/08/02 20:19:50 - mmengine - INFO - The best checkpoint with 0.6286 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/08/02 20:19:58 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 1.0000e-02 eta: 1 day, 8:06:51 time: 0.3711 data_time: 0.1120 memory: 8198 grad_norm: 5.0474 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8120 loss: 1.8120 2022/08/02 20:20:03 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 1.0000e-02 eta: 1 day, 8:06:45 time: 0.2803 data_time: 0.0212 memory: 8198 grad_norm: 5.0435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8375 loss: 1.8375 2022/08/02 20:20:09 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 1.0000e-02 eta: 1 day, 8:06:39 time: 0.2831 data_time: 0.0232 memory: 8198 grad_norm: 4.8865 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7861 loss: 1.7861 2022/08/02 20:20:15 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 1.0000e-02 eta: 1 day, 8:06:33 time: 0.2844 data_time: 0.0176 memory: 8198 grad_norm: 5.0579 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0318 loss: 2.0318 2022/08/02 20:20:20 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 1.0000e-02 eta: 1 day, 8:06:27 time: 0.2816 data_time: 0.0217 memory: 8198 grad_norm: 4.9075 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6726 loss: 1.6726 2022/08/02 20:20:26 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 1.0000e-02 eta: 1 day, 8:06:21 time: 0.2800 data_time: 0.0235 memory: 8198 grad_norm: 4.8520 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7616 loss: 1.7616 2022/08/02 20:20:32 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 1.0000e-02 eta: 1 day, 8:06:15 time: 0.2869 data_time: 0.0237 memory: 8198 grad_norm: 5.0959 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8344 loss: 1.8344 2022/08/02 20:20:37 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 1.0000e-02 eta: 1 day, 8:06:09 time: 0.2800 data_time: 0.0232 memory: 8198 grad_norm: 5.1586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7925 loss: 1.7925 2022/08/02 20:20:43 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 1.0000e-02 eta: 1 day, 8:06:03 time: 0.2784 data_time: 0.0246 memory: 8198 grad_norm: 4.9737 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4885 loss: 1.4885 2022/08/02 20:20:49 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 1.0000e-02 eta: 1 day, 8:05:57 time: 0.2887 data_time: 0.0220 memory: 8198 grad_norm: 4.8522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/08/02 20:20:54 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 1.0000e-02 eta: 1 day, 8:05:51 time: 0.2830 data_time: 0.0281 memory: 8198 grad_norm: 5.0855 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7979 loss: 1.7979 2022/08/02 20:21:00 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 1.0000e-02 eta: 1 day, 8:05:46 time: 0.2848 data_time: 0.0232 memory: 8198 grad_norm: 5.0299 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7697 loss: 1.7697 2022/08/02 20:21:06 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 1.0000e-02 eta: 1 day, 8:05:40 time: 0.2818 data_time: 0.0272 memory: 8198 grad_norm: 5.0271 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7863 loss: 1.7863 2022/08/02 20:21:12 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 1.0000e-02 eta: 1 day, 8:05:36 time: 0.3009 data_time: 0.0230 memory: 8198 grad_norm: 4.8841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7779 loss: 1.7779 2022/08/02 20:21:18 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 1.0000e-02 eta: 1 day, 8:05:30 time: 0.2837 data_time: 0.0201 memory: 8198 grad_norm: 4.9881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7201 loss: 1.7201 2022/08/02 20:21:23 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 1.0000e-02 eta: 1 day, 8:05:24 time: 0.2872 data_time: 0.0198 memory: 8198 grad_norm: 4.9294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8356 loss: 1.8356 2022/08/02 20:21:29 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 1.0000e-02 eta: 1 day, 8:05:19 time: 0.2890 data_time: 0.0280 memory: 8198 grad_norm: 5.0119 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7212 loss: 1.7212 2022/08/02 20:21:35 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 1.0000e-02 eta: 1 day, 8:05:14 time: 0.2853 data_time: 0.0237 memory: 8198 grad_norm: 4.8643 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6635 loss: 1.6635 2022/08/02 20:21:41 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 1.0000e-02 eta: 1 day, 8:05:08 time: 0.2861 data_time: 0.0210 memory: 8198 grad_norm: 4.8564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8410 loss: 1.8410 2022/08/02 20:21:46 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 1.0000e-02 eta: 1 day, 8:05:02 time: 0.2781 data_time: 0.0204 memory: 8198 grad_norm: 4.9906 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9532 loss: 1.9532 2022/08/02 20:21:52 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 1.0000e-02 eta: 1 day, 8:04:56 time: 0.2841 data_time: 0.0258 memory: 8198 grad_norm: 4.9703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7430 loss: 1.7430 2022/08/02 20:21:57 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 1.0000e-02 eta: 1 day, 8:04:50 time: 0.2835 data_time: 0.0195 memory: 8198 grad_norm: 4.9646 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4253 loss: 1.4253 2022/08/02 20:22:03 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 1.0000e-02 eta: 1 day, 8:04:44 time: 0.2819 data_time: 0.0249 memory: 8198 grad_norm: 4.9639 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6004 loss: 1.6004 2022/08/02 20:22:09 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 1.0000e-02 eta: 1 day, 8:04:40 time: 0.3006 data_time: 0.0223 memory: 8198 grad_norm: 5.0053 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8484 loss: 1.8484 2022/08/02 20:22:15 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 1.0000e-02 eta: 1 day, 8:04:34 time: 0.2797 data_time: 0.0212 memory: 8198 grad_norm: 5.0715 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6040 loss: 1.6040 2022/08/02 20:22:20 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 1.0000e-02 eta: 1 day, 8:04:28 time: 0.2866 data_time: 0.0242 memory: 8198 grad_norm: 4.9752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7306 loss: 1.7306 2022/08/02 20:22:26 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 1.0000e-02 eta: 1 day, 8:04:22 time: 0.2822 data_time: 0.0260 memory: 8198 grad_norm: 4.9598 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6774 loss: 1.6774 2022/08/02 20:22:32 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 1.0000e-02 eta: 1 day, 8:04:16 time: 0.2820 data_time: 0.0247 memory: 8198 grad_norm: 4.8727 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0430 loss: 2.0430 2022/08/02 20:22:38 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 1.0000e-02 eta: 1 day, 8:04:11 time: 0.2914 data_time: 0.0270 memory: 8198 grad_norm: 4.9996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9754 loss: 1.9754 2022/08/02 20:22:43 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 1.0000e-02 eta: 1 day, 8:04:05 time: 0.2803 data_time: 0.0251 memory: 8198 grad_norm: 5.0002 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7318 loss: 1.7318 2022/08/02 20:22:49 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 1.0000e-02 eta: 1 day, 8:04:00 time: 0.2940 data_time: 0.0380 memory: 8198 grad_norm: 4.9542 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7847 loss: 1.7847 2022/08/02 20:22:55 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 1.0000e-02 eta: 1 day, 8:03:54 time: 0.2840 data_time: 0.0228 memory: 8198 grad_norm: 5.0866 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7621 loss: 1.7621 2022/08/02 20:23:01 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 1.0000e-02 eta: 1 day, 8:03:50 time: 0.2971 data_time: 0.0204 memory: 8198 grad_norm: 5.0029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8669 loss: 1.8669 2022/08/02 20:23:06 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 1.0000e-02 eta: 1 day, 8:03:44 time: 0.2801 data_time: 0.0226 memory: 8198 grad_norm: 5.0606 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0219 loss: 2.0219 2022/08/02 20:23:12 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 1.0000e-02 eta: 1 day, 8:03:38 time: 0.2842 data_time: 0.0263 memory: 8198 grad_norm: 4.8002 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7094 loss: 1.7094 2022/08/02 20:23:18 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 1.0000e-02 eta: 1 day, 8:03:32 time: 0.2848 data_time: 0.0256 memory: 8198 grad_norm: 5.0667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9013 loss: 1.9013 2022/08/02 20:23:23 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 1.0000e-02 eta: 1 day, 8:03:26 time: 0.2800 data_time: 0.0213 memory: 8198 grad_norm: 5.0990 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6550 loss: 1.6550 2022/08/02 20:23:29 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 1.0000e-02 eta: 1 day, 8:03:20 time: 0.2836 data_time: 0.0229 memory: 8198 grad_norm: 5.0067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6993 loss: 1.6993 2022/08/02 20:23:35 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 1.0000e-02 eta: 1 day, 8:03:14 time: 0.2828 data_time: 0.0246 memory: 8198 grad_norm: 4.9052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5157 loss: 1.5157 2022/08/02 20:23:41 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 1.0000e-02 eta: 1 day, 8:03:09 time: 0.2888 data_time: 0.0229 memory: 8198 grad_norm: 4.9578 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6871 loss: 1.6871 2022/08/02 20:23:46 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 1.0000e-02 eta: 1 day, 8:03:03 time: 0.2844 data_time: 0.0230 memory: 8198 grad_norm: 4.8386 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5777 loss: 1.5777 2022/08/02 20:23:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:23:52 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 1.0000e-02 eta: 1 day, 8:02:58 time: 0.2851 data_time: 0.0207 memory: 8198 grad_norm: 5.0744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7964 loss: 1.7964 2022/08/02 20:23:58 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 1.0000e-02 eta: 1 day, 8:02:52 time: 0.2824 data_time: 0.0302 memory: 8198 grad_norm: 4.8685 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5556 loss: 1.5556 2022/08/02 20:24:03 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 1.0000e-02 eta: 1 day, 8:02:46 time: 0.2839 data_time: 0.0242 memory: 8198 grad_norm: 4.9388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6870 loss: 1.6870 2022/08/02 20:24:09 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 1.0000e-02 eta: 1 day, 8:02:40 time: 0.2835 data_time: 0.0239 memory: 8198 grad_norm: 4.9659 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6927 loss: 1.6927 2022/08/02 20:24:15 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 1.0000e-02 eta: 1 day, 8:02:34 time: 0.2818 data_time: 0.0248 memory: 8198 grad_norm: 5.0633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9592 loss: 1.9592 2022/08/02 20:24:20 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 1.0000e-02 eta: 1 day, 8:02:29 time: 0.2938 data_time: 0.0216 memory: 8198 grad_norm: 5.0596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8044 loss: 1.8044 2022/08/02 20:24:26 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 1.0000e-02 eta: 1 day, 8:02:24 time: 0.2835 data_time: 0.0230 memory: 8198 grad_norm: 5.1267 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9574 loss: 1.9574 2022/08/02 20:24:32 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 1.0000e-02 eta: 1 day, 8:02:18 time: 0.2870 data_time: 0.0194 memory: 8198 grad_norm: 5.0093 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0018 loss: 2.0018 2022/08/02 20:24:38 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 1.0000e-02 eta: 1 day, 8:02:13 time: 0.2902 data_time: 0.0247 memory: 8198 grad_norm: 4.9783 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7234 loss: 1.7234 2022/08/02 20:24:43 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 1.0000e-02 eta: 1 day, 8:02:07 time: 0.2815 data_time: 0.0238 memory: 8198 grad_norm: 5.0572 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8371 loss: 1.8371 2022/08/02 20:24:49 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 1.0000e-02 eta: 1 day, 8:02:01 time: 0.2867 data_time: 0.0248 memory: 8198 grad_norm: 4.9950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7007 loss: 1.7007 2022/08/02 20:24:55 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 1.0000e-02 eta: 1 day, 8:01:55 time: 0.2829 data_time: 0.0244 memory: 8198 grad_norm: 4.9141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8789 loss: 1.8789 2022/08/02 20:25:01 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 1.0000e-02 eta: 1 day, 8:01:51 time: 0.2946 data_time: 0.0201 memory: 8198 grad_norm: 5.0396 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8259 loss: 1.8259 2022/08/02 20:25:06 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 1.0000e-02 eta: 1 day, 8:01:45 time: 0.2802 data_time: 0.0243 memory: 8198 grad_norm: 4.9565 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8123 loss: 1.8123 2022/08/02 20:25:12 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 1.0000e-02 eta: 1 day, 8:01:39 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 5.0129 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4914 loss: 1.4914 2022/08/02 20:25:18 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 1.0000e-02 eta: 1 day, 8:01:35 time: 0.2966 data_time: 0.0267 memory: 8198 grad_norm: 5.0675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8034 loss: 1.8034 2022/08/02 20:25:23 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 1.0000e-02 eta: 1 day, 8:01:28 time: 0.2773 data_time: 0.0214 memory: 8198 grad_norm: 4.9872 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8582 loss: 1.8582 2022/08/02 20:25:29 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 1.0000e-02 eta: 1 day, 8:01:23 time: 0.2865 data_time: 0.0341 memory: 8198 grad_norm: 5.1706 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8835 loss: 1.8835 2022/08/02 20:25:35 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 1.0000e-02 eta: 1 day, 8:01:16 time: 0.2788 data_time: 0.0206 memory: 8198 grad_norm: 5.0269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7503 loss: 1.7503 2022/08/02 20:25:41 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 1.0000e-02 eta: 1 day, 8:01:11 time: 0.2917 data_time: 0.0226 memory: 8198 grad_norm: 4.9972 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8098 loss: 1.8098 2022/08/02 20:25:46 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 1.0000e-02 eta: 1 day, 8:01:05 time: 0.2788 data_time: 0.0212 memory: 8198 grad_norm: 5.0178 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0299 loss: 2.0299 2022/08/02 20:25:52 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 1.0000e-02 eta: 1 day, 8:00:59 time: 0.2866 data_time: 0.0225 memory: 8198 grad_norm: 4.9140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6598 loss: 1.6598 2022/08/02 20:25:58 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 1.0000e-02 eta: 1 day, 8:00:54 time: 0.2917 data_time: 0.0239 memory: 8198 grad_norm: 4.8268 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8138 loss: 1.8138 2022/08/02 20:26:03 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 1.0000e-02 eta: 1 day, 8:00:48 time: 0.2824 data_time: 0.0269 memory: 8198 grad_norm: 4.9485 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7187 loss: 1.7187 2022/08/02 20:26:09 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 1.0000e-02 eta: 1 day, 8:00:42 time: 0.2801 data_time: 0.0270 memory: 8198 grad_norm: 4.9908 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6640 loss: 1.6640 2022/08/02 20:26:15 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 1.0000e-02 eta: 1 day, 8:00:36 time: 0.2824 data_time: 0.0273 memory: 8198 grad_norm: 5.1253 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8445 loss: 1.8445 2022/08/02 20:26:21 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 1.0000e-02 eta: 1 day, 8:00:31 time: 0.2935 data_time: 0.0243 memory: 8198 grad_norm: 5.0662 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7228 loss: 1.7228 2022/08/02 20:26:26 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 1.0000e-02 eta: 1 day, 8:00:25 time: 0.2789 data_time: 0.0254 memory: 8198 grad_norm: 4.9355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7447 loss: 1.7447 2022/08/02 20:26:32 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 1.0000e-02 eta: 1 day, 8:00:19 time: 0.2838 data_time: 0.0263 memory: 8198 grad_norm: 4.9413 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8198 loss: 1.8198 2022/08/02 20:26:38 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 1.0000e-02 eta: 1 day, 8:00:14 time: 0.2892 data_time: 0.0240 memory: 8198 grad_norm: 5.0444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7068 loss: 1.7068 2022/08/02 20:26:43 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 1.0000e-02 eta: 1 day, 8:00:08 time: 0.2822 data_time: 0.0255 memory: 8198 grad_norm: 5.0698 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5637 loss: 1.5637 2022/08/02 20:26:49 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 1.0000e-02 eta: 1 day, 8:00:02 time: 0.2838 data_time: 0.0247 memory: 8198 grad_norm: 4.9560 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7880 loss: 1.7880 2022/08/02 20:26:55 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 1.0000e-02 eta: 1 day, 7:59:57 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 5.1581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8651 loss: 1.8651 2022/08/02 20:27:00 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 1.0000e-02 eta: 1 day, 7:59:51 time: 0.2831 data_time: 0.0232 memory: 8198 grad_norm: 5.0420 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6960 loss: 1.6960 2022/08/02 20:27:06 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 1.0000e-02 eta: 1 day, 7:59:45 time: 0.2812 data_time: 0.0225 memory: 8198 grad_norm: 5.1089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0280 loss: 2.0280 2022/08/02 20:27:12 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 1.0000e-02 eta: 1 day, 7:59:38 time: 0.2805 data_time: 0.0234 memory: 8198 grad_norm: 4.8762 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7850 loss: 1.7850 2022/08/02 20:27:17 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 1.0000e-02 eta: 1 day, 7:59:33 time: 0.2844 data_time: 0.0256 memory: 8198 grad_norm: 4.9918 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.8485 loss: 1.8485 2022/08/02 20:27:23 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 1.0000e-02 eta: 1 day, 7:59:27 time: 0.2858 data_time: 0.0202 memory: 8198 grad_norm: 5.1205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8743 loss: 1.8743 2022/08/02 20:27:29 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 1.0000e-02 eta: 1 day, 7:59:21 time: 0.2853 data_time: 0.0197 memory: 8198 grad_norm: 5.0293 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6490 loss: 1.6490 2022/08/02 20:27:35 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 1.0000e-02 eta: 1 day, 7:59:17 time: 0.2988 data_time: 0.0340 memory: 8198 grad_norm: 5.1101 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7752 loss: 1.7752 2022/08/02 20:27:40 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 1.0000e-02 eta: 1 day, 7:59:11 time: 0.2815 data_time: 0.0188 memory: 8198 grad_norm: 4.9198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8386 loss: 1.8386 2022/08/02 20:27:46 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 1.0000e-02 eta: 1 day, 7:59:05 time: 0.2769 data_time: 0.0199 memory: 8198 grad_norm: 5.0616 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8706 loss: 1.8706 2022/08/02 20:27:52 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 1.0000e-02 eta: 1 day, 7:58:59 time: 0.2858 data_time: 0.0229 memory: 8198 grad_norm: 5.1133 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7260 loss: 1.7260 2022/08/02 20:27:57 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 1.0000e-02 eta: 1 day, 7:58:53 time: 0.2841 data_time: 0.0232 memory: 8198 grad_norm: 5.0286 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7620 loss: 1.7620 2022/08/02 20:28:03 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 1.0000e-02 eta: 1 day, 7:58:47 time: 0.2790 data_time: 0.0229 memory: 8198 grad_norm: 5.1255 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7781 loss: 1.7781 2022/08/02 20:28:09 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 1.0000e-02 eta: 1 day, 7:58:41 time: 0.2834 data_time: 0.0225 memory: 8198 grad_norm: 4.9373 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8149 loss: 1.8149 2022/08/02 20:28:14 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 1.0000e-02 eta: 1 day, 7:58:35 time: 0.2807 data_time: 0.0214 memory: 8198 grad_norm: 5.1697 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9265 loss: 1.9265 2022/08/02 20:28:20 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 1.0000e-02 eta: 1 day, 7:58:29 time: 0.2861 data_time: 0.0256 memory: 8198 grad_norm: 5.0379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8869 loss: 1.8869 2022/08/02 20:28:26 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 1.0000e-02 eta: 1 day, 7:58:23 time: 0.2813 data_time: 0.0205 memory: 8198 grad_norm: 5.2039 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8875 loss: 1.8875 2022/08/02 20:28:31 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 1.0000e-02 eta: 1 day, 7:58:18 time: 0.2856 data_time: 0.0232 memory: 8198 grad_norm: 4.9669 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7100 loss: 1.7100 2022/08/02 20:28:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:28:37 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 1.0000e-02 eta: 1 day, 7:58:12 time: 0.2832 data_time: 0.0230 memory: 8198 grad_norm: 4.8713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6916 loss: 1.6916 2022/08/02 20:28:43 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 1.0000e-02 eta: 1 day, 7:58:06 time: 0.2817 data_time: 0.0226 memory: 8198 grad_norm: 4.9454 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6809 loss: 1.6809 2022/08/02 20:28:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:28:47 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 1.0000e-02 eta: 1 day, 7:58:06 time: 0.2548 data_time: 0.0151 memory: 8198 grad_norm: 5.0512 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7804 loss: 1.7804 2022/08/02 20:28:56 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 1.0000e-02 eta: 1 day, 7:57:40 time: 0.4113 data_time: 0.1288 memory: 8198 grad_norm: 4.9002 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7690 loss: 1.7690 2022/08/02 20:29:02 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 1.0000e-02 eta: 1 day, 7:57:35 time: 0.2928 data_time: 0.0203 memory: 8198 grad_norm: 4.9380 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7306 loss: 1.7306 2022/08/02 20:29:07 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 1.0000e-02 eta: 1 day, 7:57:29 time: 0.2877 data_time: 0.0198 memory: 8198 grad_norm: 4.9683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9174 loss: 1.9174 2022/08/02 20:29:13 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 1.0000e-02 eta: 1 day, 7:57:24 time: 0.2836 data_time: 0.0197 memory: 8198 grad_norm: 5.0073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7839 loss: 1.7839 2022/08/02 20:29:19 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 1.0000e-02 eta: 1 day, 7:57:18 time: 0.2885 data_time: 0.0216 memory: 8198 grad_norm: 5.0172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8880 loss: 1.8880 2022/08/02 20:29:25 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 1.0000e-02 eta: 1 day, 7:57:12 time: 0.2838 data_time: 0.0211 memory: 8198 grad_norm: 5.0443 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7218 loss: 1.7218 2022/08/02 20:29:30 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 1.0000e-02 eta: 1 day, 7:57:06 time: 0.2811 data_time: 0.0220 memory: 8198 grad_norm: 5.0814 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8331 loss: 1.8331 2022/08/02 20:29:36 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 1.0000e-02 eta: 1 day, 7:57:00 time: 0.2800 data_time: 0.0247 memory: 8198 grad_norm: 4.9853 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8163 loss: 1.8163 2022/08/02 20:29:42 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 1.0000e-02 eta: 1 day, 7:56:55 time: 0.2900 data_time: 0.0256 memory: 8198 grad_norm: 5.0824 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8308 loss: 1.8308 2022/08/02 20:29:47 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 1.0000e-02 eta: 1 day, 7:56:49 time: 0.2822 data_time: 0.0206 memory: 8198 grad_norm: 5.0068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/08/02 20:29:53 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 1.0000e-02 eta: 1 day, 7:56:43 time: 0.2839 data_time: 0.0210 memory: 8198 grad_norm: 4.9509 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6928 loss: 1.6928 2022/08/02 20:29:59 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 1.0000e-02 eta: 1 day, 7:56:38 time: 0.2852 data_time: 0.0245 memory: 8198 grad_norm: 5.2483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9824 loss: 1.9824 2022/08/02 20:30:04 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 1.0000e-02 eta: 1 day, 7:56:31 time: 0.2784 data_time: 0.0260 memory: 8198 grad_norm: 5.0595 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9443 loss: 1.9443 2022/08/02 20:30:10 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 1.0000e-02 eta: 1 day, 7:56:26 time: 0.2862 data_time: 0.0245 memory: 8198 grad_norm: 4.9886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8026 loss: 1.8026 2022/08/02 20:30:16 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 1.0000e-02 eta: 1 day, 7:56:20 time: 0.2822 data_time: 0.0265 memory: 8198 grad_norm: 4.9427 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5698 loss: 1.5698 2022/08/02 20:30:21 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 1.0000e-02 eta: 1 day, 7:56:15 time: 0.2914 data_time: 0.0226 memory: 8198 grad_norm: 5.0624 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6847 loss: 1.6847 2022/08/02 20:30:27 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 1.0000e-02 eta: 1 day, 7:56:08 time: 0.2787 data_time: 0.0221 memory: 8198 grad_norm: 5.1705 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8564 loss: 1.8564 2022/08/02 20:30:33 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 1.0000e-02 eta: 1 day, 7:56:03 time: 0.2850 data_time: 0.0208 memory: 8198 grad_norm: 5.1172 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8923 loss: 1.8923 2022/08/02 20:30:38 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 1.0000e-02 eta: 1 day, 7:55:57 time: 0.2840 data_time: 0.0234 memory: 8198 grad_norm: 4.9494 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7022 loss: 1.7022 2022/08/02 20:30:44 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 1.0000e-02 eta: 1 day, 7:55:51 time: 0.2879 data_time: 0.0322 memory: 8198 grad_norm: 5.0322 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6036 loss: 1.6036 2022/08/02 20:30:50 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 1.0000e-02 eta: 1 day, 7:55:46 time: 0.2839 data_time: 0.0252 memory: 8198 grad_norm: 5.0028 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6765 loss: 1.6765 2022/08/02 20:30:55 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 1.0000e-02 eta: 1 day, 7:55:40 time: 0.2808 data_time: 0.0231 memory: 8198 grad_norm: 5.1889 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7686 loss: 1.7686 2022/08/02 20:31:01 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 1.0000e-02 eta: 1 day, 7:55:34 time: 0.2822 data_time: 0.0237 memory: 8198 grad_norm: 5.1052 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6884 loss: 1.6884 2022/08/02 20:31:07 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 1.0000e-02 eta: 1 day, 7:55:28 time: 0.2818 data_time: 0.0231 memory: 8198 grad_norm: 4.9783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8412 loss: 1.8412 2022/08/02 20:31:13 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 1.0000e-02 eta: 1 day, 7:55:24 time: 0.3027 data_time: 0.0235 memory: 8198 grad_norm: 5.0781 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9630 loss: 1.9630 2022/08/02 20:31:19 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 1.0000e-02 eta: 1 day, 7:55:18 time: 0.2869 data_time: 0.0222 memory: 8198 grad_norm: 5.1708 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/08/02 20:31:24 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 1.0000e-02 eta: 1 day, 7:55:12 time: 0.2806 data_time: 0.0240 memory: 8198 grad_norm: 5.2732 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9676 loss: 1.9676 2022/08/02 20:31:30 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 1.0000e-02 eta: 1 day, 7:55:07 time: 0.2859 data_time: 0.0196 memory: 8198 grad_norm: 5.1423 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8841 loss: 1.8841 2022/08/02 20:31:35 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 1.0000e-02 eta: 1 day, 7:55:00 time: 0.2779 data_time: 0.0231 memory: 8198 grad_norm: 4.9313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7075 loss: 1.7075 2022/08/02 20:31:41 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 1.0000e-02 eta: 1 day, 7:54:54 time: 0.2797 data_time: 0.0204 memory: 8198 grad_norm: 5.0366 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7401 loss: 1.7401 2022/08/02 20:31:47 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 1.0000e-02 eta: 1 day, 7:54:48 time: 0.2839 data_time: 0.0265 memory: 8198 grad_norm: 5.0486 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7004 loss: 1.7004 2022/08/02 20:31:53 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 1.0000e-02 eta: 1 day, 7:54:43 time: 0.2879 data_time: 0.0201 memory: 8198 grad_norm: 5.0080 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6339 loss: 1.6339 2022/08/02 20:31:58 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 1.0000e-02 eta: 1 day, 7:54:37 time: 0.2887 data_time: 0.0219 memory: 8198 grad_norm: 5.0569 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6519 loss: 1.6519 2022/08/02 20:32:04 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 1.0000e-02 eta: 1 day, 7:54:31 time: 0.2784 data_time: 0.0222 memory: 8198 grad_norm: 4.9556 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8997 loss: 1.8997 2022/08/02 20:32:10 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 1.0000e-02 eta: 1 day, 7:54:26 time: 0.2870 data_time: 0.0244 memory: 8198 grad_norm: 4.9628 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8179 loss: 1.8179 2022/08/02 20:32:15 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 1.0000e-02 eta: 1 day, 7:54:19 time: 0.2808 data_time: 0.0252 memory: 8198 grad_norm: 4.9493 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5592 loss: 1.5592 2022/08/02 20:32:21 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 1.0000e-02 eta: 1 day, 7:54:13 time: 0.2800 data_time: 0.0223 memory: 8198 grad_norm: 5.0352 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7444 loss: 1.7444 2022/08/02 20:32:27 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 1.0000e-02 eta: 1 day, 7:54:12 time: 0.3294 data_time: 0.0216 memory: 8198 grad_norm: 4.9646 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8571 loss: 1.8571 2022/08/02 20:32:33 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 1.0000e-02 eta: 1 day, 7:54:07 time: 0.2938 data_time: 0.0218 memory: 8198 grad_norm: 4.7926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8776 loss: 1.8776 2022/08/02 20:32:39 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 1.0000e-02 eta: 1 day, 7:54:01 time: 0.2814 data_time: 0.0216 memory: 8198 grad_norm: 4.8712 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7631 loss: 1.7631 2022/08/02 20:32:45 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 1.0000e-02 eta: 1 day, 7:53:55 time: 0.2823 data_time: 0.0238 memory: 8198 grad_norm: 5.0341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8470 loss: 1.8470 2022/08/02 20:32:51 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 1.0000e-02 eta: 1 day, 7:53:51 time: 0.3011 data_time: 0.0277 memory: 8198 grad_norm: 4.9107 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8026 loss: 1.8026 2022/08/02 20:32:56 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 1.0000e-02 eta: 1 day, 7:53:45 time: 0.2815 data_time: 0.0211 memory: 8198 grad_norm: 4.9855 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6202 loss: 1.6202 2022/08/02 20:33:02 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 1.0000e-02 eta: 1 day, 7:53:42 time: 0.3044 data_time: 0.0279 memory: 8198 grad_norm: 5.0574 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7373 loss: 1.7373 2022/08/02 20:33:08 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 1.0000e-02 eta: 1 day, 7:53:36 time: 0.2806 data_time: 0.0232 memory: 8198 grad_norm: 4.9867 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8842 loss: 1.8842 2022/08/02 20:33:14 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 1.0000e-02 eta: 1 day, 7:53:29 time: 0.2806 data_time: 0.0200 memory: 8198 grad_norm: 4.9470 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6369 loss: 1.6369 2022/08/02 20:33:19 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 1.0000e-02 eta: 1 day, 7:53:24 time: 0.2875 data_time: 0.0206 memory: 8198 grad_norm: 5.1474 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6507 loss: 1.6507 2022/08/02 20:33:25 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 1.0000e-02 eta: 1 day, 7:53:18 time: 0.2813 data_time: 0.0194 memory: 8198 grad_norm: 5.1398 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9514 loss: 1.9514 2022/08/02 20:33:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:33:31 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 1.0000e-02 eta: 1 day, 7:53:14 time: 0.3003 data_time: 0.0191 memory: 8198 grad_norm: 4.8341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/08/02 20:33:38 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 1.0000e-02 eta: 1 day, 7:53:14 time: 0.3464 data_time: 0.0221 memory: 8198 grad_norm: 4.8461 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6598 loss: 1.6598 2022/08/02 20:33:44 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 1.0000e-02 eta: 1 day, 7:53:08 time: 0.2797 data_time: 0.0221 memory: 8198 grad_norm: 5.0782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7636 loss: 1.7636 2022/08/02 20:33:50 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 1.0000e-02 eta: 1 day, 7:53:05 time: 0.3050 data_time: 0.0226 memory: 8198 grad_norm: 5.0615 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6952 loss: 1.6952 2022/08/02 20:33:55 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 1.0000e-02 eta: 1 day, 7:52:58 time: 0.2767 data_time: 0.0200 memory: 8198 grad_norm: 5.0994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7884 loss: 1.7884 2022/08/02 20:34:01 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 1.0000e-02 eta: 1 day, 7:52:53 time: 0.2866 data_time: 0.0283 memory: 8198 grad_norm: 5.0679 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7216 loss: 1.7216 2022/08/02 20:34:07 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 1.0000e-02 eta: 1 day, 7:52:47 time: 0.2848 data_time: 0.0242 memory: 8198 grad_norm: 5.0233 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8199 loss: 1.8199 2022/08/02 20:34:12 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 1.0000e-02 eta: 1 day, 7:52:41 time: 0.2837 data_time: 0.0226 memory: 8198 grad_norm: 5.0887 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8516 loss: 1.8516 2022/08/02 20:34:18 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 1.0000e-02 eta: 1 day, 7:52:35 time: 0.2827 data_time: 0.0246 memory: 8198 grad_norm: 5.0157 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7257 loss: 1.7257 2022/08/02 20:34:24 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 1.0000e-02 eta: 1 day, 7:52:30 time: 0.2919 data_time: 0.0251 memory: 8198 grad_norm: 5.0488 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/08/02 20:34:29 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 1.0000e-02 eta: 1 day, 7:52:24 time: 0.2784 data_time: 0.0195 memory: 8198 grad_norm: 4.9748 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6734 loss: 1.6734 2022/08/02 20:34:35 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 1.0000e-02 eta: 1 day, 7:52:18 time: 0.2802 data_time: 0.0210 memory: 8198 grad_norm: 5.0433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5029 loss: 1.5029 2022/08/02 20:34:41 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 1.0000e-02 eta: 1 day, 7:52:12 time: 0.2847 data_time: 0.0228 memory: 8198 grad_norm: 5.0528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9368 loss: 1.9368 2022/08/02 20:34:46 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 1.0000e-02 eta: 1 day, 7:52:06 time: 0.2824 data_time: 0.0199 memory: 8198 grad_norm: 5.0866 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8547 loss: 1.8547 2022/08/02 20:34:52 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 1.0000e-02 eta: 1 day, 7:52:00 time: 0.2812 data_time: 0.0271 memory: 8198 grad_norm: 5.0427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9050 loss: 1.9050 2022/08/02 20:34:58 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 1.0000e-02 eta: 1 day, 7:51:54 time: 0.2804 data_time: 0.0210 memory: 8198 grad_norm: 5.0014 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7609 loss: 1.7609 2022/08/02 20:35:03 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 1.0000e-02 eta: 1 day, 7:51:48 time: 0.2885 data_time: 0.0250 memory: 8198 grad_norm: 4.8594 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6663 loss: 1.6663 2022/08/02 20:35:09 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 1.0000e-02 eta: 1 day, 7:51:42 time: 0.2794 data_time: 0.0181 memory: 8198 grad_norm: 5.0066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8889 loss: 1.8889 2022/08/02 20:35:15 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 1.0000e-02 eta: 1 day, 7:51:36 time: 0.2853 data_time: 0.0219 memory: 8198 grad_norm: 4.9560 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8286 loss: 1.8286 2022/08/02 20:35:20 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 1.0000e-02 eta: 1 day, 7:51:31 time: 0.2866 data_time: 0.0240 memory: 8198 grad_norm: 4.8383 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5836 loss: 1.5836 2022/08/02 20:35:26 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 1.0000e-02 eta: 1 day, 7:51:26 time: 0.2889 data_time: 0.0203 memory: 8198 grad_norm: 4.9705 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9056 loss: 1.9056 2022/08/02 20:35:32 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 1.0000e-02 eta: 1 day, 7:51:20 time: 0.2808 data_time: 0.0227 memory: 8198 grad_norm: 4.8748 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8196 loss: 1.8196 2022/08/02 20:35:37 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 1.0000e-02 eta: 1 day, 7:51:13 time: 0.2791 data_time: 0.0245 memory: 8198 grad_norm: 5.0685 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6993 loss: 1.6993 2022/08/02 20:35:43 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 1.0000e-02 eta: 1 day, 7:51:08 time: 0.2866 data_time: 0.0243 memory: 8198 grad_norm: 4.9080 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6972 loss: 1.6972 2022/08/02 20:35:49 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 1.0000e-02 eta: 1 day, 7:51:02 time: 0.2804 data_time: 0.0257 memory: 8198 grad_norm: 5.0536 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7502 loss: 1.7502 2022/08/02 20:35:55 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 1.0000e-02 eta: 1 day, 7:50:56 time: 0.2840 data_time: 0.0220 memory: 8198 grad_norm: 5.0126 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0060 loss: 2.0060 2022/08/02 20:36:00 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 1.0000e-02 eta: 1 day, 7:50:50 time: 0.2837 data_time: 0.0243 memory: 8198 grad_norm: 4.8398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7641 loss: 1.7641 2022/08/02 20:36:06 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 1.0000e-02 eta: 1 day, 7:50:44 time: 0.2809 data_time: 0.0213 memory: 8198 grad_norm: 4.9778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/08/02 20:36:11 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 1.0000e-02 eta: 1 day, 7:50:38 time: 0.2819 data_time: 0.0250 memory: 8198 grad_norm: 4.9067 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7836 loss: 1.7836 2022/08/02 20:36:17 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 1.0000e-02 eta: 1 day, 7:50:32 time: 0.2836 data_time: 0.0253 memory: 8198 grad_norm: 5.0812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8398 loss: 1.8398 2022/08/02 20:36:23 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 1.0000e-02 eta: 1 day, 7:50:27 time: 0.2877 data_time: 0.0230 memory: 8198 grad_norm: 5.0689 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7228 loss: 1.7228 2022/08/02 20:36:29 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 1.0000e-02 eta: 1 day, 7:50:21 time: 0.2842 data_time: 0.0269 memory: 8198 grad_norm: 4.9654 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/08/02 20:36:34 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 1.0000e-02 eta: 1 day, 7:50:15 time: 0.2816 data_time: 0.0241 memory: 8198 grad_norm: 4.9726 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7766 loss: 1.7766 2022/08/02 20:36:40 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 1.0000e-02 eta: 1 day, 7:50:09 time: 0.2873 data_time: 0.0202 memory: 8198 grad_norm: 4.9809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8187 loss: 1.8187 2022/08/02 20:36:46 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 1.0000e-02 eta: 1 day, 7:50:04 time: 0.2870 data_time: 0.0244 memory: 8198 grad_norm: 5.0068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6725 loss: 1.6725 2022/08/02 20:36:51 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 1.0000e-02 eta: 1 day, 7:49:58 time: 0.2807 data_time: 0.0189 memory: 8198 grad_norm: 4.8484 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6526 loss: 1.6526 2022/08/02 20:36:57 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 1.0000e-02 eta: 1 day, 7:49:52 time: 0.2834 data_time: 0.0245 memory: 8198 grad_norm: 5.0213 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6551 loss: 1.6551 2022/08/02 20:37:03 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 1.0000e-02 eta: 1 day, 7:49:48 time: 0.3021 data_time: 0.0215 memory: 8198 grad_norm: 5.0534 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9929 loss: 1.9929 2022/08/02 20:37:09 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 1.0000e-02 eta: 1 day, 7:49:43 time: 0.2896 data_time: 0.0298 memory: 8198 grad_norm: 5.0810 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7168 loss: 1.7168 2022/08/02 20:37:14 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 1.0000e-02 eta: 1 day, 7:49:36 time: 0.2783 data_time: 0.0198 memory: 8198 grad_norm: 5.1768 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9030 loss: 1.9030 2022/08/02 20:37:20 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 1.0000e-02 eta: 1 day, 7:49:31 time: 0.2905 data_time: 0.0213 memory: 8198 grad_norm: 4.9536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7502 loss: 1.7502 2022/08/02 20:37:26 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 1.0000e-02 eta: 1 day, 7:49:25 time: 0.2811 data_time: 0.0245 memory: 8198 grad_norm: 4.9798 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9275 loss: 1.9275 2022/08/02 20:37:32 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 1.0000e-02 eta: 1 day, 7:49:20 time: 0.2857 data_time: 0.0229 memory: 8198 grad_norm: 4.9566 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7109 loss: 1.7109 2022/08/02 20:37:37 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 1.0000e-02 eta: 1 day, 7:49:14 time: 0.2805 data_time: 0.0221 memory: 8198 grad_norm: 4.9704 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6073 loss: 1.6073 2022/08/02 20:37:43 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 1.0000e-02 eta: 1 day, 7:49:08 time: 0.2824 data_time: 0.0199 memory: 8198 grad_norm: 4.9674 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7005 loss: 1.7005 2022/08/02 20:37:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:37:48 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 1.0000e-02 eta: 1 day, 7:49:08 time: 0.2535 data_time: 0.0123 memory: 8198 grad_norm: 5.1159 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.8578 loss: 1.8578 2022/08/02 20:37:56 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 1.0000e-02 eta: 1 day, 7:48:40 time: 0.3985 data_time: 0.1152 memory: 8198 grad_norm: 5.0528 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6861 loss: 1.6861 2022/08/02 20:38:02 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 1.0000e-02 eta: 1 day, 7:48:36 time: 0.3002 data_time: 0.0230 memory: 8198 grad_norm: 5.0211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8859 loss: 1.8859 2022/08/02 20:38:08 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 1.0000e-02 eta: 1 day, 7:48:31 time: 0.2907 data_time: 0.0241 memory: 8198 grad_norm: 5.0034 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7329 loss: 1.7329 2022/08/02 20:38:13 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 1.0000e-02 eta: 1 day, 7:48:26 time: 0.2879 data_time: 0.0216 memory: 8198 grad_norm: 5.0432 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8785 loss: 1.8785 2022/08/02 20:38:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:38:19 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 1.0000e-02 eta: 1 day, 7:48:20 time: 0.2862 data_time: 0.0242 memory: 8198 grad_norm: 4.8617 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8685 loss: 1.8685 2022/08/02 20:38:25 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 1.0000e-02 eta: 1 day, 7:48:14 time: 0.2814 data_time: 0.0231 memory: 8198 grad_norm: 4.9406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/08/02 20:38:30 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 1.0000e-02 eta: 1 day, 7:48:09 time: 0.2869 data_time: 0.0243 memory: 8198 grad_norm: 5.0263 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6276 loss: 1.6276 2022/08/02 20:38:36 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 1.0000e-02 eta: 1 day, 7:48:03 time: 0.2799 data_time: 0.0223 memory: 8198 grad_norm: 5.0431 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6848 loss: 1.6848 2022/08/02 20:38:42 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 1.0000e-02 eta: 1 day, 7:47:59 time: 0.3022 data_time: 0.0211 memory: 8198 grad_norm: 5.0989 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7923 loss: 1.7923 2022/08/02 20:38:48 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 1.0000e-02 eta: 1 day, 7:47:53 time: 0.2814 data_time: 0.0257 memory: 8198 grad_norm: 5.0221 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/08/02 20:38:54 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 1.0000e-02 eta: 1 day, 7:47:47 time: 0.2860 data_time: 0.0313 memory: 8198 grad_norm: 4.8961 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/08/02 20:38:59 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 1.0000e-02 eta: 1 day, 7:47:41 time: 0.2841 data_time: 0.0222 memory: 8198 grad_norm: 5.0798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8970 loss: 1.8970 2022/08/02 20:39:05 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 1.0000e-02 eta: 1 day, 7:47:35 time: 0.2774 data_time: 0.0183 memory: 8198 grad_norm: 4.9915 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7878 loss: 1.7878 2022/08/02 20:39:10 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 1.0000e-02 eta: 1 day, 7:47:29 time: 0.2840 data_time: 0.0239 memory: 8198 grad_norm: 5.0365 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5949 loss: 1.5949 2022/08/02 20:39:16 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 1.0000e-02 eta: 1 day, 7:47:23 time: 0.2821 data_time: 0.0240 memory: 8198 grad_norm: 5.0033 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6233 loss: 1.6233 2022/08/02 20:39:22 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 1.0000e-02 eta: 1 day, 7:47:18 time: 0.2953 data_time: 0.0228 memory: 8198 grad_norm: 4.9280 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6970 loss: 1.6970 2022/08/02 20:39:28 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 1.0000e-02 eta: 1 day, 7:47:13 time: 0.2845 data_time: 0.0227 memory: 8198 grad_norm: 4.9852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7098 loss: 1.7098 2022/08/02 20:39:33 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 1.0000e-02 eta: 1 day, 7:47:07 time: 0.2876 data_time: 0.0278 memory: 8198 grad_norm: 5.0199 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0433 loss: 2.0433 2022/08/02 20:39:39 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 1.0000e-02 eta: 1 day, 7:47:01 time: 0.2823 data_time: 0.0238 memory: 8198 grad_norm: 5.1337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9745 loss: 1.9745 2022/08/02 20:39:45 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 1.0000e-02 eta: 1 day, 7:46:56 time: 0.2844 data_time: 0.0333 memory: 8198 grad_norm: 5.1226 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7031 loss: 1.7031 2022/08/02 20:39:51 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 1.0000e-02 eta: 1 day, 7:46:50 time: 0.2895 data_time: 0.0257 memory: 8198 grad_norm: 5.1680 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8710 loss: 1.8710 2022/08/02 20:39:56 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 1.0000e-02 eta: 1 day, 7:46:44 time: 0.2826 data_time: 0.0246 memory: 8198 grad_norm: 4.9174 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8668 loss: 1.8668 2022/08/02 20:40:02 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 1.0000e-02 eta: 1 day, 7:46:39 time: 0.2865 data_time: 0.0264 memory: 8198 grad_norm: 5.0541 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6829 loss: 1.6829 2022/08/02 20:40:08 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 1.0000e-02 eta: 1 day, 7:46:33 time: 0.2824 data_time: 0.0214 memory: 8198 grad_norm: 5.0280 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9924 loss: 1.9924 2022/08/02 20:40:13 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 1.0000e-02 eta: 1 day, 7:46:27 time: 0.2802 data_time: 0.0233 memory: 8198 grad_norm: 5.0575 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7261 loss: 1.7261 2022/08/02 20:40:19 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 1.0000e-02 eta: 1 day, 7:46:21 time: 0.2818 data_time: 0.0235 memory: 8198 grad_norm: 4.9770 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7035 loss: 1.7035 2022/08/02 20:40:25 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 1.0000e-02 eta: 1 day, 7:46:15 time: 0.2846 data_time: 0.0255 memory: 8198 grad_norm: 5.0491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/02 20:40:30 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 1.0000e-02 eta: 1 day, 7:46:10 time: 0.2865 data_time: 0.0220 memory: 8198 grad_norm: 5.1220 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/08/02 20:40:36 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 1.0000e-02 eta: 1 day, 7:46:03 time: 0.2802 data_time: 0.0201 memory: 8198 grad_norm: 5.1115 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9750 loss: 1.9750 2022/08/02 20:40:42 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 1.0000e-02 eta: 1 day, 7:45:59 time: 0.2960 data_time: 0.0284 memory: 8198 grad_norm: 5.0453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7568 loss: 1.7568 2022/08/02 20:40:48 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 1.0000e-02 eta: 1 day, 7:45:53 time: 0.2821 data_time: 0.0249 memory: 8198 grad_norm: 4.8776 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6366 loss: 1.6366 2022/08/02 20:40:53 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 1.0000e-02 eta: 1 day, 7:45:47 time: 0.2849 data_time: 0.0244 memory: 8198 grad_norm: 4.8771 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7018 loss: 1.7018 2022/08/02 20:40:59 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 1.0000e-02 eta: 1 day, 7:45:42 time: 0.2935 data_time: 0.0242 memory: 8198 grad_norm: 5.0842 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7822 loss: 1.7822 2022/08/02 20:41:05 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 1.0000e-02 eta: 1 day, 7:45:36 time: 0.2822 data_time: 0.0277 memory: 8198 grad_norm: 5.0274 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9274 loss: 1.9274 2022/08/02 20:41:10 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 1.0000e-02 eta: 1 day, 7:45:30 time: 0.2785 data_time: 0.0264 memory: 8198 grad_norm: 4.9452 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7743 loss: 1.7743 2022/08/02 20:41:16 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 1.0000e-02 eta: 1 day, 7:45:25 time: 0.2963 data_time: 0.0220 memory: 8198 grad_norm: 4.9515 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5321 loss: 1.5321 2022/08/02 20:41:22 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 1.0000e-02 eta: 1 day, 7:45:20 time: 0.2853 data_time: 0.0235 memory: 8198 grad_norm: 5.0909 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8123 loss: 1.8123 2022/08/02 20:41:28 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 1.0000e-02 eta: 1 day, 7:45:14 time: 0.2788 data_time: 0.0173 memory: 8198 grad_norm: 5.0587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9008 loss: 1.9008 2022/08/02 20:41:33 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 1.0000e-02 eta: 1 day, 7:45:08 time: 0.2845 data_time: 0.0272 memory: 8198 grad_norm: 4.9138 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6487 loss: 1.6487 2022/08/02 20:41:39 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 1.0000e-02 eta: 1 day, 7:45:02 time: 0.2812 data_time: 0.0188 memory: 8198 grad_norm: 5.0262 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7537 loss: 1.7537 2022/08/02 20:41:45 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 1.0000e-02 eta: 1 day, 7:44:56 time: 0.2825 data_time: 0.0246 memory: 8198 grad_norm: 5.0216 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9703 loss: 1.9703 2022/08/02 20:41:50 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 1.0000e-02 eta: 1 day, 7:44:50 time: 0.2828 data_time: 0.0193 memory: 8198 grad_norm: 5.0431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4855 loss: 1.4855 2022/08/02 20:41:56 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 1.0000e-02 eta: 1 day, 7:44:44 time: 0.2828 data_time: 0.0255 memory: 8198 grad_norm: 5.1534 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9983 loss: 1.9983 2022/08/02 20:42:02 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 1.0000e-02 eta: 1 day, 7:44:38 time: 0.2820 data_time: 0.0242 memory: 8198 grad_norm: 5.1434 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8773 loss: 1.8773 2022/08/02 20:42:07 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 1.0000e-02 eta: 1 day, 7:44:32 time: 0.2801 data_time: 0.0217 memory: 8198 grad_norm: 4.9220 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8015 loss: 1.8015 2022/08/02 20:42:13 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 1.0000e-02 eta: 1 day, 7:44:27 time: 0.2957 data_time: 0.0266 memory: 8198 grad_norm: 5.1385 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6702 loss: 1.6702 2022/08/02 20:42:19 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 1.0000e-02 eta: 1 day, 7:44:21 time: 0.2799 data_time: 0.0236 memory: 8198 grad_norm: 5.1418 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9476 loss: 1.9476 2022/08/02 20:42:24 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 1.0000e-02 eta: 1 day, 7:44:15 time: 0.2798 data_time: 0.0171 memory: 8198 grad_norm: 5.1074 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8484 loss: 1.8484 2022/08/02 20:42:30 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 1.0000e-02 eta: 1 day, 7:44:10 time: 0.2898 data_time: 0.0265 memory: 8198 grad_norm: 4.9088 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7242 loss: 1.7242 2022/08/02 20:42:36 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 1.0000e-02 eta: 1 day, 7:44:04 time: 0.2818 data_time: 0.0240 memory: 8198 grad_norm: 4.9891 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6668 loss: 1.6668 2022/08/02 20:42:41 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 1.0000e-02 eta: 1 day, 7:43:57 time: 0.2795 data_time: 0.0213 memory: 8198 grad_norm: 4.9851 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7973 loss: 1.7973 2022/08/02 20:42:47 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 1.0000e-02 eta: 1 day, 7:43:51 time: 0.2811 data_time: 0.0207 memory: 8198 grad_norm: 5.1313 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7147 loss: 1.7147 2022/08/02 20:42:56 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 1.0000e-02 eta: 1 day, 7:44:04 time: 0.4650 data_time: 0.2035 memory: 8198 grad_norm: 4.9493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7782 loss: 1.7782 2022/08/02 20:43:02 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 1.0000e-02 eta: 1 day, 7:43:58 time: 0.2874 data_time: 0.0259 memory: 8198 grad_norm: 5.2366 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6268 loss: 1.6268 2022/08/02 20:43:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:43:08 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 1.0000e-02 eta: 1 day, 7:43:53 time: 0.2853 data_time: 0.0242 memory: 8198 grad_norm: 5.0987 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0222 loss: 2.0222 2022/08/02 20:43:14 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 1.0000e-02 eta: 1 day, 7:43:47 time: 0.2881 data_time: 0.0188 memory: 8198 grad_norm: 5.0386 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7433 loss: 1.7433 2022/08/02 20:43:19 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 1.0000e-02 eta: 1 day, 7:43:42 time: 0.2909 data_time: 0.0364 memory: 8198 grad_norm: 5.0415 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7174 loss: 1.7174 2022/08/02 20:43:25 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 1.0000e-02 eta: 1 day, 7:43:36 time: 0.2787 data_time: 0.0207 memory: 8198 grad_norm: 5.0208 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7830 loss: 1.7830 2022/08/02 20:43:31 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 1.0000e-02 eta: 1 day, 7:43:31 time: 0.2961 data_time: 0.0277 memory: 8198 grad_norm: 5.0151 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8410 loss: 1.8410 2022/08/02 20:43:37 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 1.0000e-02 eta: 1 day, 7:43:25 time: 0.2816 data_time: 0.0168 memory: 8198 grad_norm: 4.9703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5432 loss: 1.5432 2022/08/02 20:43:42 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 1.0000e-02 eta: 1 day, 7:43:20 time: 0.2876 data_time: 0.0263 memory: 8198 grad_norm: 4.9856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9505 loss: 1.9505 2022/08/02 20:43:48 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 1.0000e-02 eta: 1 day, 7:43:14 time: 0.2811 data_time: 0.0228 memory: 8198 grad_norm: 5.0686 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8244 loss: 1.8244 2022/08/02 20:43:54 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 1.0000e-02 eta: 1 day, 7:43:09 time: 0.2890 data_time: 0.0279 memory: 8198 grad_norm: 4.9857 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7644 loss: 1.7644 2022/08/02 20:43:59 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 1.0000e-02 eta: 1 day, 7:43:03 time: 0.2822 data_time: 0.0222 memory: 8198 grad_norm: 5.1118 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8355 loss: 1.8355 2022/08/02 20:44:05 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 1.0000e-02 eta: 1 day, 7:42:58 time: 0.2965 data_time: 0.0239 memory: 8198 grad_norm: 4.9799 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6411 loss: 1.6411 2022/08/02 20:44:11 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 1.0000e-02 eta: 1 day, 7:42:53 time: 0.2932 data_time: 0.0165 memory: 8198 grad_norm: 5.0987 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8830 loss: 1.8830 2022/08/02 20:44:17 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 1.0000e-02 eta: 1 day, 7:42:47 time: 0.2831 data_time: 0.0224 memory: 8198 grad_norm: 5.0299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8370 loss: 1.8370 2022/08/02 20:44:23 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 1.0000e-02 eta: 1 day, 7:42:42 time: 0.2843 data_time: 0.0224 memory: 8198 grad_norm: 4.9765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7215 loss: 1.7215 2022/08/02 20:44:28 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 1.0000e-02 eta: 1 day, 7:42:36 time: 0.2827 data_time: 0.0283 memory: 8198 grad_norm: 4.8732 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8182 loss: 1.8182 2022/08/02 20:44:34 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 1.0000e-02 eta: 1 day, 7:42:30 time: 0.2872 data_time: 0.0234 memory: 8198 grad_norm: 5.0692 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8568 loss: 1.8568 2022/08/02 20:44:40 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 1.0000e-02 eta: 1 day, 7:42:24 time: 0.2844 data_time: 0.0207 memory: 8198 grad_norm: 4.8597 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7453 loss: 1.7453 2022/08/02 20:44:45 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 1.0000e-02 eta: 1 day, 7:42:18 time: 0.2807 data_time: 0.0218 memory: 8198 grad_norm: 4.8760 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6735 loss: 1.6735 2022/08/02 20:44:51 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 1.0000e-02 eta: 1 day, 7:42:13 time: 0.2843 data_time: 0.0271 memory: 8198 grad_norm: 4.9368 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6848 loss: 1.6848 2022/08/02 20:44:57 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 1.0000e-02 eta: 1 day, 7:42:06 time: 0.2813 data_time: 0.0224 memory: 8198 grad_norm: 4.8878 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8528 loss: 1.8528 2022/08/02 20:45:02 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 1.0000e-02 eta: 1 day, 7:42:01 time: 0.2879 data_time: 0.0247 memory: 8198 grad_norm: 5.0690 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9616 loss: 1.9616 2022/08/02 20:45:08 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 1.0000e-02 eta: 1 day, 7:41:56 time: 0.2872 data_time: 0.0299 memory: 8198 grad_norm: 5.1000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8024 loss: 1.8024 2022/08/02 20:45:14 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 1.0000e-02 eta: 1 day, 7:41:52 time: 0.3105 data_time: 0.0242 memory: 8198 grad_norm: 5.0311 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8684 loss: 1.8684 2022/08/02 20:45:20 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 1.0000e-02 eta: 1 day, 7:41:46 time: 0.2794 data_time: 0.0189 memory: 8198 grad_norm: 5.0454 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0446 loss: 2.0446 2022/08/02 20:45:26 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 1.0000e-02 eta: 1 day, 7:41:41 time: 0.2854 data_time: 0.0238 memory: 8198 grad_norm: 4.7994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6768 loss: 1.6768 2022/08/02 20:45:32 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 1.0000e-02 eta: 1 day, 7:41:37 time: 0.3079 data_time: 0.0215 memory: 8198 grad_norm: 5.0423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6787 loss: 1.6787 2022/08/02 20:45:37 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 1.0000e-02 eta: 1 day, 7:41:31 time: 0.2813 data_time: 0.0262 memory: 8198 grad_norm: 4.9881 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8021 loss: 1.8021 2022/08/02 20:45:43 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 1.0000e-02 eta: 1 day, 7:41:26 time: 0.2928 data_time: 0.0193 memory: 8198 grad_norm: 4.9742 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8822 loss: 1.8822 2022/08/02 20:45:49 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 1.0000e-02 eta: 1 day, 7:41:20 time: 0.2789 data_time: 0.0200 memory: 8198 grad_norm: 5.0168 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8235 loss: 1.8235 2022/08/02 20:45:55 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 1.0000e-02 eta: 1 day, 7:41:15 time: 0.2932 data_time: 0.0239 memory: 8198 grad_norm: 5.0082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7797 loss: 1.7797 2022/08/02 20:46:00 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 1.0000e-02 eta: 1 day, 7:41:09 time: 0.2807 data_time: 0.0231 memory: 8198 grad_norm: 4.9836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9030 loss: 1.9030 2022/08/02 20:46:06 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 1.0000e-02 eta: 1 day, 7:41:03 time: 0.2829 data_time: 0.0219 memory: 8198 grad_norm: 4.9956 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7201 loss: 1.7201 2022/08/02 20:46:12 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 1.0000e-02 eta: 1 day, 7:40:57 time: 0.2822 data_time: 0.0213 memory: 8198 grad_norm: 5.0893 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7918 loss: 1.7918 2022/08/02 20:46:17 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 1.0000e-02 eta: 1 day, 7:40:51 time: 0.2805 data_time: 0.0215 memory: 8198 grad_norm: 4.9027 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8385 loss: 1.8385 2022/08/02 20:46:23 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 1.0000e-02 eta: 1 day, 7:40:45 time: 0.2807 data_time: 0.0224 memory: 8198 grad_norm: 4.8972 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7635 loss: 1.7635 2022/08/02 20:46:29 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 1.0000e-02 eta: 1 day, 7:40:39 time: 0.2799 data_time: 0.0207 memory: 8198 grad_norm: 4.9163 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7574 loss: 1.7574 2022/08/02 20:46:34 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 1.0000e-02 eta: 1 day, 7:40:33 time: 0.2868 data_time: 0.0280 memory: 8198 grad_norm: 5.0036 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8602 loss: 1.8602 2022/08/02 20:46:40 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 1.0000e-02 eta: 1 day, 7:40:27 time: 0.2792 data_time: 0.0192 memory: 8198 grad_norm: 5.1188 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9564 loss: 1.9564 2022/08/02 20:46:45 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 1.0000e-02 eta: 1 day, 7:40:21 time: 0.2797 data_time: 0.0220 memory: 8198 grad_norm: 4.9699 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8715 loss: 1.8715 2022/08/02 20:46:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:46:51 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 1.0000e-02 eta: 1 day, 7:40:21 time: 0.2799 data_time: 0.0148 memory: 8198 grad_norm: 5.1773 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.8485 loss: 1.8485 2022/08/02 20:46:59 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 1.0000e-02 eta: 1 day, 7:39:55 time: 0.4120 data_time: 0.1319 memory: 8198 grad_norm: 4.9276 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6297 loss: 1.6297 2022/08/02 20:47:05 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 1.0000e-02 eta: 1 day, 7:39:49 time: 0.2829 data_time: 0.0180 memory: 8198 grad_norm: 5.0047 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7975 loss: 1.7975 2022/08/02 20:47:11 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 1.0000e-02 eta: 1 day, 7:39:45 time: 0.2992 data_time: 0.0201 memory: 8198 grad_norm: 5.1333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7159 loss: 1.7159 2022/08/02 20:47:16 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 1.0000e-02 eta: 1 day, 7:39:39 time: 0.2796 data_time: 0.0225 memory: 8198 grad_norm: 5.0700 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5355 loss: 1.5355 2022/08/02 20:47:22 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 1.0000e-02 eta: 1 day, 7:39:34 time: 0.2891 data_time: 0.0253 memory: 8198 grad_norm: 5.1564 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7890 loss: 1.7890 2022/08/02 20:47:28 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 1.0000e-02 eta: 1 day, 7:39:28 time: 0.2860 data_time: 0.0258 memory: 8198 grad_norm: 4.9966 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6462 loss: 1.6462 2022/08/02 20:47:34 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 1.0000e-02 eta: 1 day, 7:39:23 time: 0.2865 data_time: 0.0176 memory: 8198 grad_norm: 5.0957 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9037 loss: 1.9037 2022/08/02 20:47:39 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 1.0000e-02 eta: 1 day, 7:39:16 time: 0.2784 data_time: 0.0220 memory: 8198 grad_norm: 5.0404 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8684 loss: 1.8684 2022/08/02 20:47:45 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 1.0000e-02 eta: 1 day, 7:39:11 time: 0.2867 data_time: 0.0291 memory: 8198 grad_norm: 5.0330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/08/02 20:47:51 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 1.0000e-02 eta: 1 day, 7:39:05 time: 0.2890 data_time: 0.0277 memory: 8198 grad_norm: 5.1158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7128 loss: 1.7128 2022/08/02 20:47:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:47:56 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 1.0000e-02 eta: 1 day, 7:38:59 time: 0.2804 data_time: 0.0213 memory: 8198 grad_norm: 5.0876 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8939 loss: 1.8939 2022/08/02 20:48:02 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 1.0000e-02 eta: 1 day, 7:38:55 time: 0.2970 data_time: 0.0310 memory: 8198 grad_norm: 5.2398 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9899 loss: 1.9899 2022/08/02 20:48:08 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 1.0000e-02 eta: 1 day, 7:38:49 time: 0.2810 data_time: 0.0200 memory: 8198 grad_norm: 5.0001 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.0010 loss: 2.0010 2022/08/02 20:48:14 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 1.0000e-02 eta: 1 day, 7:38:43 time: 0.2859 data_time: 0.0252 memory: 8198 grad_norm: 4.9117 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6516 loss: 1.6516 2022/08/02 20:48:19 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 1.0000e-02 eta: 1 day, 7:38:37 time: 0.2852 data_time: 0.0263 memory: 8198 grad_norm: 4.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5600 loss: 1.5600 2022/08/02 20:48:25 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 1.0000e-02 eta: 1 day, 7:38:32 time: 0.2870 data_time: 0.0222 memory: 8198 grad_norm: 5.1688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6912 loss: 1.6912 2022/08/02 20:48:31 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 1.0000e-02 eta: 1 day, 7:38:26 time: 0.2858 data_time: 0.0231 memory: 8198 grad_norm: 5.0739 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7807 loss: 1.7807 2022/08/02 20:48:36 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 1.0000e-02 eta: 1 day, 7:38:20 time: 0.2753 data_time: 0.0197 memory: 8198 grad_norm: 5.1193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7336 loss: 1.7336 2022/08/02 20:48:42 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 1.0000e-02 eta: 1 day, 7:38:14 time: 0.2850 data_time: 0.0218 memory: 8198 grad_norm: 5.0667 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8651 loss: 1.8651 2022/08/02 20:48:48 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 1.0000e-02 eta: 1 day, 7:38:08 time: 0.2857 data_time: 0.0252 memory: 8198 grad_norm: 5.0440 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6944 loss: 1.6944 2022/08/02 20:48:54 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 1.0000e-02 eta: 1 day, 7:38:03 time: 0.2871 data_time: 0.0207 memory: 8198 grad_norm: 4.9928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8557 loss: 1.8557 2022/08/02 20:48:59 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 1.0000e-02 eta: 1 day, 7:37:57 time: 0.2788 data_time: 0.0252 memory: 8198 grad_norm: 5.2298 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6128 loss: 1.6128 2022/08/02 20:49:05 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 1.0000e-02 eta: 1 day, 7:37:51 time: 0.2842 data_time: 0.0272 memory: 8198 grad_norm: 4.7990 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6968 loss: 1.6968 2022/08/02 20:49:11 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 1.0000e-02 eta: 1 day, 7:37:45 time: 0.2875 data_time: 0.0213 memory: 8198 grad_norm: 4.9434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/02 20:49:16 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 1.0000e-02 eta: 1 day, 7:37:40 time: 0.2840 data_time: 0.0230 memory: 8198 grad_norm: 4.9868 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6017 loss: 1.6017 2022/08/02 20:49:22 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 1.0000e-02 eta: 1 day, 7:37:34 time: 0.2816 data_time: 0.0265 memory: 8198 grad_norm: 4.9339 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0058 loss: 2.0058 2022/08/02 20:49:28 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 1.0000e-02 eta: 1 day, 7:37:28 time: 0.2825 data_time: 0.0275 memory: 8198 grad_norm: 5.0182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8232 loss: 1.8232 2022/08/02 20:49:33 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 1.0000e-02 eta: 1 day, 7:37:22 time: 0.2865 data_time: 0.0207 memory: 8198 grad_norm: 5.0257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7611 loss: 1.7611 2022/08/02 20:49:39 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 1.0000e-02 eta: 1 day, 7:37:16 time: 0.2839 data_time: 0.0231 memory: 8198 grad_norm: 4.9547 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9363 loss: 1.9363 2022/08/02 20:49:45 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 1.0000e-02 eta: 1 day, 7:37:10 time: 0.2817 data_time: 0.0212 memory: 8198 grad_norm: 5.0416 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7482 loss: 1.7482 2022/08/02 20:49:51 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 1.0000e-02 eta: 1 day, 7:37:06 time: 0.2961 data_time: 0.0241 memory: 8198 grad_norm: 4.8258 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7774 loss: 1.7774 2022/08/02 20:49:56 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 1.0000e-02 eta: 1 day, 7:37:00 time: 0.2808 data_time: 0.0253 memory: 8198 grad_norm: 5.0400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7348 loss: 1.7348 2022/08/02 20:50:02 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 1.0000e-02 eta: 1 day, 7:36:53 time: 0.2792 data_time: 0.0212 memory: 8198 grad_norm: 5.0007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8200 loss: 1.8200 2022/08/02 20:50:07 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 1.0000e-02 eta: 1 day, 7:36:47 time: 0.2810 data_time: 0.0261 memory: 8198 grad_norm: 5.1128 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6490 loss: 1.6490 2022/08/02 20:50:13 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 1.0000e-02 eta: 1 day, 7:36:42 time: 0.2927 data_time: 0.0219 memory: 8198 grad_norm: 4.9630 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8910 loss: 1.8910 2022/08/02 20:50:19 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 1.0000e-02 eta: 1 day, 7:36:36 time: 0.2790 data_time: 0.0210 memory: 8198 grad_norm: 5.1783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6977 loss: 1.6977 2022/08/02 20:50:24 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 1.0000e-02 eta: 1 day, 7:36:30 time: 0.2790 data_time: 0.0226 memory: 8198 grad_norm: 5.1255 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7747 loss: 1.7747 2022/08/02 20:50:30 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 1.0000e-02 eta: 1 day, 7:36:25 time: 0.2970 data_time: 0.0225 memory: 8198 grad_norm: 4.9622 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5814 loss: 1.5814 2022/08/02 20:50:36 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 1.0000e-02 eta: 1 day, 7:36:19 time: 0.2783 data_time: 0.0240 memory: 8198 grad_norm: 5.1140 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7823 loss: 1.7823 2022/08/02 20:50:42 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 1.0000e-02 eta: 1 day, 7:36:14 time: 0.2876 data_time: 0.0268 memory: 8198 grad_norm: 5.1039 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7923 loss: 1.7923 2022/08/02 20:50:47 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 1.0000e-02 eta: 1 day, 7:36:08 time: 0.2815 data_time: 0.0240 memory: 8198 grad_norm: 5.0217 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8650 loss: 1.8650 2022/08/02 20:50:53 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 1.0000e-02 eta: 1 day, 7:36:03 time: 0.2967 data_time: 0.0283 memory: 8198 grad_norm: 5.0240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6974 loss: 1.6974 2022/08/02 20:50:59 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 1.0000e-02 eta: 1 day, 7:35:57 time: 0.2765 data_time: 0.0225 memory: 8198 grad_norm: 5.0882 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7809 loss: 1.7809 2022/08/02 20:51:05 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 1.0000e-02 eta: 1 day, 7:35:51 time: 0.2848 data_time: 0.0271 memory: 8198 grad_norm: 4.9637 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6597 loss: 1.6597 2022/08/02 20:51:10 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 1.0000e-02 eta: 1 day, 7:35:45 time: 0.2822 data_time: 0.0212 memory: 8198 grad_norm: 5.0477 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8648 loss: 1.8648 2022/08/02 20:51:16 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 1.0000e-02 eta: 1 day, 7:35:39 time: 0.2850 data_time: 0.0257 memory: 8198 grad_norm: 4.9972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8079 loss: 1.8079 2022/08/02 20:51:22 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 1.0000e-02 eta: 1 day, 7:35:34 time: 0.2867 data_time: 0.0218 memory: 8198 grad_norm: 4.9872 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8002 loss: 1.8002 2022/08/02 20:51:27 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 1.0000e-02 eta: 1 day, 7:35:28 time: 0.2801 data_time: 0.0222 memory: 8198 grad_norm: 5.2400 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9756 loss: 1.9756 2022/08/02 20:51:33 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 1.0000e-02 eta: 1 day, 7:35:22 time: 0.2878 data_time: 0.0249 memory: 8198 grad_norm: 4.9815 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7232 loss: 1.7232 2022/08/02 20:51:39 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 1.0000e-02 eta: 1 day, 7:35:16 time: 0.2822 data_time: 0.0221 memory: 8198 grad_norm: 5.0268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5653 loss: 1.5653 2022/08/02 20:51:44 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 1.0000e-02 eta: 1 day, 7:35:11 time: 0.2872 data_time: 0.0282 memory: 8198 grad_norm: 5.0760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8801 loss: 1.8801 2022/08/02 20:51:50 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 1.0000e-02 eta: 1 day, 7:35:05 time: 0.2852 data_time: 0.0244 memory: 8198 grad_norm: 4.9648 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6706 loss: 1.6706 2022/08/02 20:51:56 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 1.0000e-02 eta: 1 day, 7:34:59 time: 0.2845 data_time: 0.0218 memory: 8198 grad_norm: 4.9667 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6728 loss: 1.6728 2022/08/02 20:52:02 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 1.0000e-02 eta: 1 day, 7:34:54 time: 0.2858 data_time: 0.0226 memory: 8198 grad_norm: 4.9559 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8666 loss: 1.8666 2022/08/02 20:52:07 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 1.0000e-02 eta: 1 day, 7:34:49 time: 0.2908 data_time: 0.0219 memory: 8198 grad_norm: 4.9564 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8047 loss: 1.8047 2022/08/02 20:52:13 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 1.0000e-02 eta: 1 day, 7:34:43 time: 0.2890 data_time: 0.0238 memory: 8198 grad_norm: 5.0257 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6461 loss: 1.6461 2022/08/02 20:52:19 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 1.0000e-02 eta: 1 day, 7:34:38 time: 0.2845 data_time: 0.0206 memory: 8198 grad_norm: 4.9586 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7511 loss: 1.7511 2022/08/02 20:52:24 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 1.0000e-02 eta: 1 day, 7:34:31 time: 0.2788 data_time: 0.0189 memory: 8198 grad_norm: 4.9774 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6755 loss: 1.6755 2022/08/02 20:52:30 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 1.0000e-02 eta: 1 day, 7:34:26 time: 0.2895 data_time: 0.0249 memory: 8198 grad_norm: 5.0296 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6700 loss: 1.6700 2022/08/02 20:52:36 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 1.0000e-02 eta: 1 day, 7:34:20 time: 0.2776 data_time: 0.0213 memory: 8198 grad_norm: 4.9761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5660 loss: 1.5660 2022/08/02 20:52:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:52:42 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 1.0000e-02 eta: 1 day, 7:34:14 time: 0.2840 data_time: 0.0258 memory: 8198 grad_norm: 5.0306 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6664 loss: 1.6664 2022/08/02 20:52:47 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 1.0000e-02 eta: 1 day, 7:34:08 time: 0.2787 data_time: 0.0181 memory: 8198 grad_norm: 4.9444 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8628 loss: 1.8628 2022/08/02 20:52:53 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 1.0000e-02 eta: 1 day, 7:34:02 time: 0.2885 data_time: 0.0218 memory: 8198 grad_norm: 5.1925 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6666 loss: 1.6666 2022/08/02 20:52:59 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 1.0000e-02 eta: 1 day, 7:33:56 time: 0.2841 data_time: 0.0241 memory: 8198 grad_norm: 4.9702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5976 loss: 1.5976 2022/08/02 20:53:04 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 1.0000e-02 eta: 1 day, 7:33:50 time: 0.2807 data_time: 0.0183 memory: 8198 grad_norm: 5.1540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8612 loss: 1.8612 2022/08/02 20:53:10 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 1.0000e-02 eta: 1 day, 7:33:44 time: 0.2826 data_time: 0.0232 memory: 8198 grad_norm: 5.1052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6852 loss: 1.6852 2022/08/02 20:53:16 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 1.0000e-02 eta: 1 day, 7:33:40 time: 0.2933 data_time: 0.0329 memory: 8198 grad_norm: 5.0984 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7790 loss: 1.7790 2022/08/02 20:53:21 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 1.0000e-02 eta: 1 day, 7:33:33 time: 0.2798 data_time: 0.0210 memory: 8198 grad_norm: 5.0131 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8257 loss: 1.8257 2022/08/02 20:53:27 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 1.0000e-02 eta: 1 day, 7:33:28 time: 0.2919 data_time: 0.0249 memory: 8198 grad_norm: 5.0415 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7536 loss: 1.7536 2022/08/02 20:53:33 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 1.0000e-02 eta: 1 day, 7:33:23 time: 0.2838 data_time: 0.0232 memory: 8198 grad_norm: 5.1414 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7097 loss: 1.7097 2022/08/02 20:53:39 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 1.0000e-02 eta: 1 day, 7:33:17 time: 0.2827 data_time: 0.0248 memory: 8198 grad_norm: 4.9622 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6189 loss: 1.6189 2022/08/02 20:53:44 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 1.0000e-02 eta: 1 day, 7:33:11 time: 0.2841 data_time: 0.0252 memory: 8198 grad_norm: 5.0989 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7954 loss: 1.7954 2022/08/02 20:53:50 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 1.0000e-02 eta: 1 day, 7:33:06 time: 0.2892 data_time: 0.0254 memory: 8198 grad_norm: 4.9969 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7045 loss: 1.7045 2022/08/02 20:53:56 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 1.0000e-02 eta: 1 day, 7:33:00 time: 0.2823 data_time: 0.0236 memory: 8198 grad_norm: 4.9809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7030 loss: 1.7030 2022/08/02 20:54:01 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 1.0000e-02 eta: 1 day, 7:32:53 time: 0.2796 data_time: 0.0217 memory: 8198 grad_norm: 5.1051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8659 loss: 1.8659 2022/08/02 20:54:07 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 1.0000e-02 eta: 1 day, 7:32:48 time: 0.2843 data_time: 0.0207 memory: 8198 grad_norm: 4.9902 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6594 loss: 1.6594 2022/08/02 20:54:13 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 1.0000e-02 eta: 1 day, 7:32:42 time: 0.2895 data_time: 0.0216 memory: 8198 grad_norm: 4.9196 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7594 loss: 1.7594 2022/08/02 20:54:18 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 1.0000e-02 eta: 1 day, 7:32:36 time: 0.2797 data_time: 0.0182 memory: 8198 grad_norm: 5.0737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8622 loss: 1.8622 2022/08/02 20:54:24 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 1.0000e-02 eta: 1 day, 7:32:30 time: 0.2828 data_time: 0.0257 memory: 8198 grad_norm: 4.8910 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6880 loss: 1.6880 2022/08/02 20:54:30 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 1.0000e-02 eta: 1 day, 7:32:25 time: 0.2875 data_time: 0.0210 memory: 8198 grad_norm: 5.2032 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8091 loss: 1.8091 2022/08/02 20:54:35 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 1.0000e-02 eta: 1 day, 7:32:19 time: 0.2822 data_time: 0.0248 memory: 8198 grad_norm: 5.0010 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7263 loss: 1.7263 2022/08/02 20:54:41 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 1.0000e-02 eta: 1 day, 7:32:13 time: 0.2802 data_time: 0.0210 memory: 8198 grad_norm: 5.0725 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5250 loss: 1.5250 2022/08/02 20:54:47 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 1.0000e-02 eta: 1 day, 7:32:07 time: 0.2817 data_time: 0.0200 memory: 8198 grad_norm: 5.0582 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6553 loss: 1.6553 2022/08/02 20:54:52 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 1.0000e-02 eta: 1 day, 7:32:01 time: 0.2843 data_time: 0.0236 memory: 8198 grad_norm: 5.0915 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9655 loss: 1.9655 2022/08/02 20:54:58 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 1.0000e-02 eta: 1 day, 7:31:55 time: 0.2830 data_time: 0.0246 memory: 8198 grad_norm: 5.1233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8379 loss: 1.8379 2022/08/02 20:55:04 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 1.0000e-02 eta: 1 day, 7:31:50 time: 0.2895 data_time: 0.0228 memory: 8198 grad_norm: 5.0942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6240 loss: 1.6240 2022/08/02 20:55:10 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 1.0000e-02 eta: 1 day, 7:31:44 time: 0.2838 data_time: 0.0246 memory: 8198 grad_norm: 4.8744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9533 loss: 1.9533 2022/08/02 20:55:15 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 1.0000e-02 eta: 1 day, 7:31:39 time: 0.2851 data_time: 0.0223 memory: 8198 grad_norm: 4.8583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/08/02 20:55:21 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 1.0000e-02 eta: 1 day, 7:31:33 time: 0.2864 data_time: 0.0264 memory: 8198 grad_norm: 4.9950 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8252 loss: 1.8252 2022/08/02 20:55:27 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 1.0000e-02 eta: 1 day, 7:31:27 time: 0.2830 data_time: 0.0264 memory: 8198 grad_norm: 4.9630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8609 loss: 1.8609 2022/08/02 20:55:32 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 1.0000e-02 eta: 1 day, 7:31:21 time: 0.2800 data_time: 0.0228 memory: 8198 grad_norm: 5.0361 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8095 loss: 1.8095 2022/08/02 20:55:38 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 1.0000e-02 eta: 1 day, 7:31:15 time: 0.2824 data_time: 0.0208 memory: 8198 grad_norm: 4.9068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8716 loss: 1.8716 2022/08/02 20:55:44 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 1.0000e-02 eta: 1 day, 7:31:09 time: 0.2794 data_time: 0.0190 memory: 8198 grad_norm: 5.0498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7750 loss: 1.7750 2022/08/02 20:55:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:55:48 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 1.0000e-02 eta: 1 day, 7:31:09 time: 0.2533 data_time: 0.0142 memory: 8198 grad_norm: 4.9963 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.7053 loss: 1.7053 2022/08/02 20:55:48 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/02 20:55:58 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 1.0000e-02 eta: 1 day, 7:30:38 time: 0.3513 data_time: 0.0971 memory: 8198 grad_norm: 4.9588 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5675 loss: 1.5675 2022/08/02 20:56:04 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 1.0000e-02 eta: 1 day, 7:30:32 time: 0.2817 data_time: 0.0162 memory: 8198 grad_norm: 4.9648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5269 loss: 1.5269 2022/08/02 20:56:09 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 1.0000e-02 eta: 1 day, 7:30:26 time: 0.2837 data_time: 0.0239 memory: 8198 grad_norm: 5.0066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7948 loss: 1.7948 2022/08/02 20:56:15 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 1.0000e-02 eta: 1 day, 7:30:20 time: 0.2828 data_time: 0.0225 memory: 8198 grad_norm: 5.0298 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9200 loss: 1.9200 2022/08/02 20:56:21 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 1.0000e-02 eta: 1 day, 7:30:15 time: 0.2850 data_time: 0.0227 memory: 8198 grad_norm: 4.9553 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5110 loss: 1.5110 2022/08/02 20:56:26 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 1.0000e-02 eta: 1 day, 7:30:09 time: 0.2819 data_time: 0.0201 memory: 8198 grad_norm: 5.2010 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7644 loss: 1.7644 2022/08/02 20:56:32 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 1.0000e-02 eta: 1 day, 7:30:03 time: 0.2821 data_time: 0.0252 memory: 8198 grad_norm: 4.9802 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7076 loss: 1.7076 2022/08/02 20:56:38 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 1.0000e-02 eta: 1 day, 7:29:57 time: 0.2844 data_time: 0.0213 memory: 8198 grad_norm: 4.9185 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8038 loss: 1.8038 2022/08/02 20:56:44 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 1.0000e-02 eta: 1 day, 7:29:52 time: 0.2871 data_time: 0.0246 memory: 8198 grad_norm: 5.0060 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8048 loss: 1.8048 2022/08/02 20:56:49 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 1.0000e-02 eta: 1 day, 7:29:46 time: 0.2854 data_time: 0.0283 memory: 8198 grad_norm: 5.0464 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8362 loss: 1.8362 2022/08/02 20:56:55 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 1.0000e-02 eta: 1 day, 7:29:41 time: 0.2888 data_time: 0.0228 memory: 8198 grad_norm: 5.0945 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0566 loss: 2.0566 2022/08/02 20:57:01 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 1.0000e-02 eta: 1 day, 7:29:35 time: 0.2889 data_time: 0.0272 memory: 8198 grad_norm: 5.0681 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6451 loss: 1.6451 2022/08/02 20:57:06 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 1.0000e-02 eta: 1 day, 7:29:29 time: 0.2812 data_time: 0.0233 memory: 8198 grad_norm: 5.1487 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7239 loss: 1.7239 2022/08/02 20:57:12 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 1.0000e-02 eta: 1 day, 7:29:23 time: 0.2819 data_time: 0.0233 memory: 8198 grad_norm: 4.9545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5927 loss: 1.5927 2022/08/02 20:57:18 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 1.0000e-02 eta: 1 day, 7:29:18 time: 0.2844 data_time: 0.0206 memory: 8198 grad_norm: 4.9012 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5863 loss: 1.5863 2022/08/02 20:57:24 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 1.0000e-02 eta: 1 day, 7:29:13 time: 0.2959 data_time: 0.0231 memory: 8198 grad_norm: 4.9260 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6453 loss: 1.6453 2022/08/02 20:57:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 20:57:29 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 1.0000e-02 eta: 1 day, 7:29:07 time: 0.2826 data_time: 0.0242 memory: 8198 grad_norm: 5.0555 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7691 loss: 1.7691 2022/08/02 20:57:35 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 1.0000e-02 eta: 1 day, 7:29:01 time: 0.2839 data_time: 0.0233 memory: 8198 grad_norm: 4.8816 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5181 loss: 1.5181 2022/08/02 20:57:41 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 1.0000e-02 eta: 1 day, 7:28:57 time: 0.3038 data_time: 0.0269 memory: 8198 grad_norm: 4.9638 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7170 loss: 1.7170 2022/08/02 20:57:47 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 1.0000e-02 eta: 1 day, 7:28:51 time: 0.2768 data_time: 0.0247 memory: 8198 grad_norm: 4.9857 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7104 loss: 1.7104 2022/08/02 20:57:52 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 1.0000e-02 eta: 1 day, 7:28:45 time: 0.2816 data_time: 0.0237 memory: 8198 grad_norm: 5.1100 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8033 loss: 1.8033 2022/08/02 20:57:58 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 1.0000e-02 eta: 1 day, 7:28:39 time: 0.2800 data_time: 0.0226 memory: 8198 grad_norm: 5.0771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8270 loss: 1.8270 2022/08/02 20:58:04 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 1.0000e-02 eta: 1 day, 7:28:34 time: 0.2940 data_time: 0.0250 memory: 8198 grad_norm: 4.9696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7508 loss: 1.7508 2022/08/02 20:58:09 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 1.0000e-02 eta: 1 day, 7:28:28 time: 0.2791 data_time: 0.0223 memory: 8198 grad_norm: 5.0098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8198 loss: 1.8198 2022/08/02 20:58:15 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 1.0000e-02 eta: 1 day, 7:28:22 time: 0.2838 data_time: 0.0258 memory: 8198 grad_norm: 5.1383 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8418 loss: 1.8418 2022/08/02 20:58:21 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 1.0000e-02 eta: 1 day, 7:28:17 time: 0.2899 data_time: 0.0259 memory: 8198 grad_norm: 4.8922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8472 loss: 1.8472 2022/08/02 20:58:27 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 1.0000e-02 eta: 1 day, 7:28:10 time: 0.2783 data_time: 0.0241 memory: 8198 grad_norm: 5.0147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7817 loss: 1.7817 2022/08/02 20:58:32 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 1.0000e-02 eta: 1 day, 7:28:05 time: 0.2878 data_time: 0.0249 memory: 8198 grad_norm: 5.0199 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7951 loss: 1.7951 2022/08/02 20:58:38 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 1.0000e-02 eta: 1 day, 7:27:59 time: 0.2803 data_time: 0.0266 memory: 8198 grad_norm: 5.0649 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6696 loss: 1.6696 2022/08/02 20:58:44 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 1.0000e-02 eta: 1 day, 7:27:53 time: 0.2855 data_time: 0.0276 memory: 8198 grad_norm: 5.0100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7381 loss: 1.7381 2022/08/02 20:58:49 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 1.0000e-02 eta: 1 day, 7:27:47 time: 0.2815 data_time: 0.0212 memory: 8198 grad_norm: 4.9750 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9829 loss: 1.9829 2022/08/02 20:58:55 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 1.0000e-02 eta: 1 day, 7:27:42 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 5.1224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9410 loss: 1.9410 2022/08/02 20:59:01 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 1.0000e-02 eta: 1 day, 7:27:37 time: 0.2963 data_time: 0.0250 memory: 8198 grad_norm: 5.1087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7053 loss: 1.7053 2022/08/02 20:59:07 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 1.0000e-02 eta: 1 day, 7:27:31 time: 0.2840 data_time: 0.0238 memory: 8198 grad_norm: 5.2677 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8630 loss: 1.8630 2022/08/02 20:59:12 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 1.0000e-02 eta: 1 day, 7:27:26 time: 0.2889 data_time: 0.0273 memory: 8198 grad_norm: 5.2077 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9479 loss: 1.9479 2022/08/02 20:59:18 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 1.0000e-02 eta: 1 day, 7:27:20 time: 0.2811 data_time: 0.0219 memory: 8198 grad_norm: 5.0559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6104 loss: 1.6104 2022/08/02 20:59:24 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 1.0000e-02 eta: 1 day, 7:27:15 time: 0.2918 data_time: 0.0271 memory: 8198 grad_norm: 5.1807 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9285 loss: 1.9285 2022/08/02 20:59:29 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 1.0000e-02 eta: 1 day, 7:27:09 time: 0.2792 data_time: 0.0234 memory: 8198 grad_norm: 5.1625 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9994 loss: 1.9994 2022/08/02 20:59:35 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 1.0000e-02 eta: 1 day, 7:27:04 time: 0.2934 data_time: 0.0227 memory: 8198 grad_norm: 5.1515 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8295 loss: 1.8295 2022/08/02 20:59:41 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 1.0000e-02 eta: 1 day, 7:26:58 time: 0.2852 data_time: 0.0243 memory: 8198 grad_norm: 5.1211 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7494 loss: 1.7494 2022/08/02 20:59:47 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 1.0000e-02 eta: 1 day, 7:26:54 time: 0.2966 data_time: 0.0251 memory: 8198 grad_norm: 4.9208 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8946 loss: 1.8946 2022/08/02 20:59:53 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 1.0000e-02 eta: 1 day, 7:26:48 time: 0.2837 data_time: 0.0218 memory: 8198 grad_norm: 5.0040 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8349 loss: 1.8349 2022/08/02 20:59:59 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 1.0000e-02 eta: 1 day, 7:26:43 time: 0.2908 data_time: 0.0226 memory: 8198 grad_norm: 4.9999 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7204 loss: 1.7204 2022/08/02 21:00:04 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 1.0000e-02 eta: 1 day, 7:26:37 time: 0.2865 data_time: 0.0248 memory: 8198 grad_norm: 4.9591 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8279 loss: 1.8279 2022/08/02 21:00:10 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 1.0000e-02 eta: 1 day, 7:26:31 time: 0.2785 data_time: 0.0234 memory: 8198 grad_norm: 4.8776 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6735 loss: 1.6735 2022/08/02 21:00:16 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 1.0000e-02 eta: 1 day, 7:26:25 time: 0.2833 data_time: 0.0176 memory: 8198 grad_norm: 5.0345 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9462 loss: 1.9462 2022/08/02 21:00:21 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 1.0000e-02 eta: 1 day, 7:26:19 time: 0.2841 data_time: 0.0277 memory: 8198 grad_norm: 5.0150 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7462 loss: 1.7462 2022/08/02 21:00:27 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 1.0000e-02 eta: 1 day, 7:26:14 time: 0.2851 data_time: 0.0176 memory: 8198 grad_norm: 5.0994 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0147 loss: 2.0147 2022/08/02 21:00:32 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 1.0000e-02 eta: 1 day, 7:26:07 time: 0.2786 data_time: 0.0221 memory: 8198 grad_norm: 5.1561 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7967 loss: 1.7967 2022/08/02 21:00:38 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 1.0000e-02 eta: 1 day, 7:26:01 time: 0.2833 data_time: 0.0243 memory: 8198 grad_norm: 5.1111 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9117 loss: 1.9117 2022/08/02 21:00:45 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 1.0000e-02 eta: 1 day, 7:26:00 time: 0.3293 data_time: 0.0208 memory: 8198 grad_norm: 5.0612 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7793 loss: 1.7793 2022/08/02 21:00:50 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 1.0000e-02 eta: 1 day, 7:25:54 time: 0.2790 data_time: 0.0227 memory: 8198 grad_norm: 5.0676 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6572 loss: 1.6572 2022/08/02 21:00:56 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 1.0000e-02 eta: 1 day, 7:25:49 time: 0.2912 data_time: 0.0226 memory: 8198 grad_norm: 5.0732 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7324 loss: 1.7324 2022/08/02 21:01:02 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 1.0000e-02 eta: 1 day, 7:25:42 time: 0.2772 data_time: 0.0204 memory: 8198 grad_norm: 5.1748 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8986 loss: 1.8986 2022/08/02 21:01:07 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 1.0000e-02 eta: 1 day, 7:25:36 time: 0.2836 data_time: 0.0259 memory: 8198 grad_norm: 5.0030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5954 loss: 1.5954 2022/08/02 21:01:13 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 1.0000e-02 eta: 1 day, 7:25:31 time: 0.2879 data_time: 0.0199 memory: 8198 grad_norm: 5.1782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6042 loss: 1.6042 2022/08/02 21:01:19 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 1.0000e-02 eta: 1 day, 7:25:25 time: 0.2775 data_time: 0.0235 memory: 8198 grad_norm: 5.1125 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7472 loss: 1.7472 2022/08/02 21:01:24 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 1.0000e-02 eta: 1 day, 7:25:19 time: 0.2841 data_time: 0.0236 memory: 8198 grad_norm: 4.9562 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6689 loss: 1.6689 2022/08/02 21:01:30 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 1.0000e-02 eta: 1 day, 7:25:13 time: 0.2818 data_time: 0.0224 memory: 8198 grad_norm: 4.9540 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8075 loss: 1.8075 2022/08/02 21:01:36 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 1.0000e-02 eta: 1 day, 7:25:07 time: 0.2820 data_time: 0.0218 memory: 8198 grad_norm: 5.0978 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9243 loss: 1.9243 2022/08/02 21:01:41 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 1.0000e-02 eta: 1 day, 7:25:01 time: 0.2826 data_time: 0.0223 memory: 8198 grad_norm: 5.0556 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8390 loss: 1.8390 2022/08/02 21:01:47 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 1.0000e-02 eta: 1 day, 7:24:55 time: 0.2853 data_time: 0.0301 memory: 8198 grad_norm: 4.9425 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9289 loss: 1.9289 2022/08/02 21:01:53 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 1.0000e-02 eta: 1 day, 7:24:50 time: 0.2883 data_time: 0.0300 memory: 8198 grad_norm: 5.0183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6369 loss: 1.6369 2022/08/02 21:01:58 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 1.0000e-02 eta: 1 day, 7:24:44 time: 0.2807 data_time: 0.0178 memory: 8198 grad_norm: 5.0536 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8737 loss: 1.8737 2022/08/02 21:02:04 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 1.0000e-02 eta: 1 day, 7:24:38 time: 0.2836 data_time: 0.0246 memory: 8198 grad_norm: 5.0649 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7358 loss: 1.7358 2022/08/02 21:02:10 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 1.0000e-02 eta: 1 day, 7:24:32 time: 0.2777 data_time: 0.0208 memory: 8198 grad_norm: 5.1259 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6655 loss: 1.6655 2022/08/02 21:02:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:02:15 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 1.0000e-02 eta: 1 day, 7:24:26 time: 0.2853 data_time: 0.0265 memory: 8198 grad_norm: 4.9489 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7161 loss: 1.7161 2022/08/02 21:02:21 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 1.0000e-02 eta: 1 day, 7:24:20 time: 0.2805 data_time: 0.0188 memory: 8198 grad_norm: 5.1239 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8319 loss: 1.8319 2022/08/02 21:02:27 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 1.0000e-02 eta: 1 day, 7:24:14 time: 0.2822 data_time: 0.0224 memory: 8198 grad_norm: 5.1854 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5747 loss: 1.5747 2022/08/02 21:02:33 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 1.0000e-02 eta: 1 day, 7:24:10 time: 0.2975 data_time: 0.0210 memory: 8198 grad_norm: 5.0208 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6217 loss: 1.6217 2022/08/02 21:02:38 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 1.0000e-02 eta: 1 day, 7:24:04 time: 0.2823 data_time: 0.0236 memory: 8198 grad_norm: 4.9836 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9456 loss: 1.9456 2022/08/02 21:02:44 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 1.0000e-02 eta: 1 day, 7:23:58 time: 0.2855 data_time: 0.0215 memory: 8198 grad_norm: 5.0135 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7520 loss: 1.7520 2022/08/02 21:02:50 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 1.0000e-02 eta: 1 day, 7:23:53 time: 0.2872 data_time: 0.0241 memory: 8198 grad_norm: 5.0924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4797 loss: 1.4797 2022/08/02 21:02:55 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 1.0000e-02 eta: 1 day, 7:23:47 time: 0.2829 data_time: 0.0283 memory: 8198 grad_norm: 5.0921 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7993 loss: 1.7993 2022/08/02 21:03:01 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 1.0000e-02 eta: 1 day, 7:23:41 time: 0.2814 data_time: 0.0241 memory: 8198 grad_norm: 4.9753 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7305 loss: 1.7305 2022/08/02 21:03:07 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 1.0000e-02 eta: 1 day, 7:23:35 time: 0.2847 data_time: 0.0203 memory: 8198 grad_norm: 5.0829 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7388 loss: 1.7388 2022/08/02 21:03:13 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 1.0000e-02 eta: 1 day, 7:23:30 time: 0.2893 data_time: 0.0274 memory: 8198 grad_norm: 5.0151 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6218 loss: 1.6218 2022/08/02 21:03:18 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 1.0000e-02 eta: 1 day, 7:23:24 time: 0.2811 data_time: 0.0216 memory: 8198 grad_norm: 4.9488 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7749 loss: 1.7749 2022/08/02 21:03:24 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 1.0000e-02 eta: 1 day, 7:23:17 time: 0.2792 data_time: 0.0234 memory: 8198 grad_norm: 5.0788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8221 loss: 1.8221 2022/08/02 21:03:29 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 1.0000e-02 eta: 1 day, 7:23:11 time: 0.2813 data_time: 0.0223 memory: 8198 grad_norm: 4.9129 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6235 loss: 1.6235 2022/08/02 21:03:35 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 1.0000e-02 eta: 1 day, 7:23:06 time: 0.2843 data_time: 0.0247 memory: 8198 grad_norm: 4.9850 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1412 loss: 2.1412 2022/08/02 21:03:41 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 1.0000e-02 eta: 1 day, 7:23:00 time: 0.2864 data_time: 0.0231 memory: 8198 grad_norm: 5.0067 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7026 loss: 1.7026 2022/08/02 21:03:47 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 1.0000e-02 eta: 1 day, 7:22:54 time: 0.2818 data_time: 0.0234 memory: 8198 grad_norm: 5.0424 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7516 loss: 1.7516 2022/08/02 21:03:52 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 1.0000e-02 eta: 1 day, 7:22:48 time: 0.2819 data_time: 0.0181 memory: 8198 grad_norm: 5.1392 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7775 loss: 1.7775 2022/08/02 21:03:58 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 1.0000e-02 eta: 1 day, 7:22:43 time: 0.2857 data_time: 0.0260 memory: 8198 grad_norm: 4.8833 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7380 loss: 1.7380 2022/08/02 21:04:04 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 1.0000e-02 eta: 1 day, 7:22:37 time: 0.2879 data_time: 0.0209 memory: 8198 grad_norm: 5.0488 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0542 loss: 2.0542 2022/08/02 21:04:09 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 1.0000e-02 eta: 1 day, 7:22:31 time: 0.2826 data_time: 0.0231 memory: 8198 grad_norm: 5.0753 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6620 loss: 1.6620 2022/08/02 21:04:15 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 1.0000e-02 eta: 1 day, 7:22:26 time: 0.2854 data_time: 0.0244 memory: 8198 grad_norm: 5.0145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7474 loss: 1.7474 2022/08/02 21:04:21 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 1.0000e-02 eta: 1 day, 7:22:20 time: 0.2824 data_time: 0.0234 memory: 8198 grad_norm: 4.9517 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8667 loss: 1.8667 2022/08/02 21:04:26 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 1.0000e-02 eta: 1 day, 7:22:14 time: 0.2881 data_time: 0.0204 memory: 8198 grad_norm: 4.9146 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6015 loss: 1.6015 2022/08/02 21:04:32 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 1.0000e-02 eta: 1 day, 7:22:09 time: 0.2872 data_time: 0.0187 memory: 8198 grad_norm: 4.9879 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5754 loss: 1.5754 2022/08/02 21:04:38 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 1.0000e-02 eta: 1 day, 7:22:03 time: 0.2808 data_time: 0.0193 memory: 8198 grad_norm: 5.1488 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1150 loss: 2.1150 2022/08/02 21:04:44 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 1.0000e-02 eta: 1 day, 7:21:57 time: 0.2845 data_time: 0.0231 memory: 8198 grad_norm: 5.0533 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6781 loss: 1.6781 2022/08/02 21:04:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:04:48 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 1.0000e-02 eta: 1 day, 7:21:57 time: 0.2527 data_time: 0.0116 memory: 8198 grad_norm: 5.0936 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.8014 loss: 1.8014 2022/08/02 21:04:55 - mmengine - INFO - Epoch(val) [45][20/155] eta: 0:00:43 time: 0.3212 data_time: 0.2243 memory: 1514 2022/08/02 21:04:59 - mmengine - INFO - Epoch(val) [45][40/155] eta: 0:00:26 time: 0.2288 data_time: 0.1406 memory: 1514 2022/08/02 21:05:06 - mmengine - INFO - Epoch(val) [45][60/155] eta: 0:00:29 time: 0.3068 data_time: 0.2103 memory: 1514 2022/08/02 21:05:10 - mmengine - INFO - Epoch(val) [45][80/155] eta: 0:00:17 time: 0.2389 data_time: 0.1519 memory: 1514 2022/08/02 21:05:16 - mmengine - INFO - Epoch(val) [45][100/155] eta: 0:00:16 time: 0.3091 data_time: 0.2215 memory: 1514 2022/08/02 21:05:21 - mmengine - INFO - Epoch(val) [45][120/155] eta: 0:00:07 time: 0.2187 data_time: 0.1307 memory: 1514 2022/08/02 21:05:27 - mmengine - INFO - Epoch(val) [45][140/155] eta: 0:00:04 time: 0.3171 data_time: 0.2288 memory: 1514 2022/08/02 21:05:33 - mmengine - INFO - Epoch(val) [45][155/155] acc/top1: 0.6320 acc/top5: 0.8442 acc/mean1: 0.6318 2022/08/02 21:05:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_41.pth is removed 2022/08/02 21:05:34 - mmengine - INFO - The best checkpoint with 0.6320 acc/top1 at 46 epoch is saved to best_acc/top1_epoch_46.pth. 2022/08/02 21:05:42 - mmengine - INFO - Epoch(train) [46][20/1879] lr: 1.0000e-02 eta: 1 day, 7:21:32 time: 0.4015 data_time: 0.1412 memory: 8198 grad_norm: 4.9733 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6560 loss: 1.6560 2022/08/02 21:05:49 - mmengine - INFO - Epoch(train) [46][40/1879] lr: 1.0000e-02 eta: 1 day, 7:21:29 time: 0.3146 data_time: 0.0141 memory: 8198 grad_norm: 4.9589 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/08/02 21:05:54 - mmengine - INFO - Epoch(train) [46][60/1879] lr: 1.0000e-02 eta: 1 day, 7:21:23 time: 0.2896 data_time: 0.0223 memory: 8198 grad_norm: 5.1648 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7980 loss: 1.7980 2022/08/02 21:06:00 - mmengine - INFO - Epoch(train) [46][80/1879] lr: 1.0000e-02 eta: 1 day, 7:21:17 time: 0.2810 data_time: 0.0189 memory: 8198 grad_norm: 4.9874 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7157 loss: 1.7157 2022/08/02 21:06:06 - mmengine - INFO - Epoch(train) [46][100/1879] lr: 1.0000e-02 eta: 1 day, 7:21:12 time: 0.2897 data_time: 0.0278 memory: 8198 grad_norm: 5.0194 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5447 loss: 1.5447 2022/08/02 21:06:12 - mmengine - INFO - Epoch(train) [46][120/1879] lr: 1.0000e-02 eta: 1 day, 7:21:07 time: 0.2864 data_time: 0.0253 memory: 8198 grad_norm: 5.0434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6645 loss: 1.6645 2022/08/02 21:06:17 - mmengine - INFO - Epoch(train) [46][140/1879] lr: 1.0000e-02 eta: 1 day, 7:21:00 time: 0.2803 data_time: 0.0274 memory: 8198 grad_norm: 5.0195 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7494 loss: 1.7494 2022/08/02 21:06:23 - mmengine - INFO - Epoch(train) [46][160/1879] lr: 1.0000e-02 eta: 1 day, 7:20:54 time: 0.2819 data_time: 0.0234 memory: 8198 grad_norm: 5.0535 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6422 loss: 1.6422 2022/08/02 21:06:29 - mmengine - INFO - Epoch(train) [46][180/1879] lr: 1.0000e-02 eta: 1 day, 7:20:49 time: 0.2825 data_time: 0.0235 memory: 8198 grad_norm: 5.2207 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8571 loss: 1.8571 2022/08/02 21:06:35 - mmengine - INFO - Epoch(train) [46][200/1879] lr: 1.0000e-02 eta: 1 day, 7:20:44 time: 0.2999 data_time: 0.0248 memory: 8198 grad_norm: 5.0831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7212 loss: 1.7212 2022/08/02 21:06:40 - mmengine - INFO - Epoch(train) [46][220/1879] lr: 1.0000e-02 eta: 1 day, 7:20:38 time: 0.2797 data_time: 0.0225 memory: 8198 grad_norm: 5.0462 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7513 loss: 1.7513 2022/08/02 21:06:46 - mmengine - INFO - Epoch(train) [46][240/1879] lr: 1.0000e-02 eta: 1 day, 7:20:32 time: 0.2817 data_time: 0.0232 memory: 8198 grad_norm: 5.1327 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8098 loss: 1.8098 2022/08/02 21:06:52 - mmengine - INFO - Epoch(train) [46][260/1879] lr: 1.0000e-02 eta: 1 day, 7:20:27 time: 0.2925 data_time: 0.0311 memory: 8198 grad_norm: 5.1399 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7374 loss: 1.7374 2022/08/02 21:06:57 - mmengine - INFO - Epoch(train) [46][280/1879] lr: 1.0000e-02 eta: 1 day, 7:20:21 time: 0.2770 data_time: 0.0201 memory: 8198 grad_norm: 5.1334 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9513 loss: 1.9513 2022/08/02 21:07:03 - mmengine - INFO - Epoch(train) [46][300/1879] lr: 1.0000e-02 eta: 1 day, 7:20:15 time: 0.2893 data_time: 0.0214 memory: 8198 grad_norm: 5.0085 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6734 loss: 1.6734 2022/08/02 21:07:09 - mmengine - INFO - Epoch(train) [46][320/1879] lr: 1.0000e-02 eta: 1 day, 7:20:09 time: 0.2804 data_time: 0.0187 memory: 8198 grad_norm: 5.0409 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7115 loss: 1.7115 2022/08/02 21:07:14 - mmengine - INFO - Epoch(train) [46][340/1879] lr: 1.0000e-02 eta: 1 day, 7:20:04 time: 0.2864 data_time: 0.0262 memory: 8198 grad_norm: 5.0256 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6889 loss: 1.6889 2022/08/02 21:07:20 - mmengine - INFO - Epoch(train) [46][360/1879] lr: 1.0000e-02 eta: 1 day, 7:19:58 time: 0.2854 data_time: 0.0200 memory: 8198 grad_norm: 5.0978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7315 loss: 1.7315 2022/08/02 21:07:26 - mmengine - INFO - Epoch(train) [46][380/1879] lr: 1.0000e-02 eta: 1 day, 7:19:53 time: 0.2921 data_time: 0.0243 memory: 8198 grad_norm: 5.1429 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6633 loss: 1.6633 2022/08/02 21:07:32 - mmengine - INFO - Epoch(train) [46][400/1879] lr: 1.0000e-02 eta: 1 day, 7:19:48 time: 0.2872 data_time: 0.0184 memory: 8198 grad_norm: 4.9063 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7264 loss: 1.7264 2022/08/02 21:07:37 - mmengine - INFO - Epoch(train) [46][420/1879] lr: 1.0000e-02 eta: 1 day, 7:19:42 time: 0.2795 data_time: 0.0242 memory: 8198 grad_norm: 4.9943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8032 loss: 1.8032 2022/08/02 21:07:43 - mmengine - INFO - Epoch(train) [46][440/1879] lr: 1.0000e-02 eta: 1 day, 7:19:36 time: 0.2866 data_time: 0.0265 memory: 8198 grad_norm: 5.0009 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6301 loss: 1.6301 2022/08/02 21:07:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:07:49 - mmengine - INFO - Epoch(train) [46][460/1879] lr: 1.0000e-02 eta: 1 day, 7:19:30 time: 0.2822 data_time: 0.0213 memory: 8198 grad_norm: 4.9793 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8644 loss: 1.8644 2022/08/02 21:07:54 - mmengine - INFO - Epoch(train) [46][480/1879] lr: 1.0000e-02 eta: 1 day, 7:19:25 time: 0.2880 data_time: 0.0283 memory: 8198 grad_norm: 5.0446 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7143 loss: 1.7143 2022/08/02 21:08:00 - mmengine - INFO - Epoch(train) [46][500/1879] lr: 1.0000e-02 eta: 1 day, 7:19:19 time: 0.2833 data_time: 0.0218 memory: 8198 grad_norm: 5.0355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6551 loss: 1.6551 2022/08/02 21:08:06 - mmengine - INFO - Epoch(train) [46][520/1879] lr: 1.0000e-02 eta: 1 day, 7:19:13 time: 0.2855 data_time: 0.0222 memory: 8198 grad_norm: 5.0292 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8619 loss: 1.8619 2022/08/02 21:08:12 - mmengine - INFO - Epoch(train) [46][540/1879] lr: 1.0000e-02 eta: 1 day, 7:19:07 time: 0.2826 data_time: 0.0262 memory: 8198 grad_norm: 4.9941 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8502 loss: 1.8502 2022/08/02 21:08:17 - mmengine - INFO - Epoch(train) [46][560/1879] lr: 1.0000e-02 eta: 1 day, 7:19:02 time: 0.2882 data_time: 0.0229 memory: 8198 grad_norm: 4.9294 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8999 loss: 1.8999 2022/08/02 21:08:23 - mmengine - INFO - Epoch(train) [46][580/1879] lr: 1.0000e-02 eta: 1 day, 7:18:58 time: 0.3047 data_time: 0.0262 memory: 8198 grad_norm: 4.9343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6296 loss: 1.6296 2022/08/02 21:08:29 - mmengine - INFO - Epoch(train) [46][600/1879] lr: 1.0000e-02 eta: 1 day, 7:18:52 time: 0.2789 data_time: 0.0217 memory: 8198 grad_norm: 4.9624 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7461 loss: 1.7461 2022/08/02 21:08:35 - mmengine - INFO - Epoch(train) [46][620/1879] lr: 1.0000e-02 eta: 1 day, 7:18:48 time: 0.3091 data_time: 0.0211 memory: 8198 grad_norm: 5.1961 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6429 loss: 1.6429 2022/08/02 21:08:41 - mmengine - INFO - Epoch(train) [46][640/1879] lr: 1.0000e-02 eta: 1 day, 7:18:42 time: 0.2762 data_time: 0.0228 memory: 8198 grad_norm: 5.0669 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6491 loss: 1.6491 2022/08/02 21:08:47 - mmengine - INFO - Epoch(train) [46][660/1879] lr: 1.0000e-02 eta: 1 day, 7:18:38 time: 0.3042 data_time: 0.0237 memory: 8198 grad_norm: 5.0607 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5579 loss: 1.5579 2022/08/02 21:08:53 - mmengine - INFO - Epoch(train) [46][680/1879] lr: 1.0000e-02 eta: 1 day, 7:18:34 time: 0.2977 data_time: 0.0257 memory: 8198 grad_norm: 4.9495 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7578 loss: 1.7578 2022/08/02 21:08:58 - mmengine - INFO - Epoch(train) [46][700/1879] lr: 1.0000e-02 eta: 1 day, 7:18:28 time: 0.2821 data_time: 0.0221 memory: 8198 grad_norm: 5.0324 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8844 loss: 1.8844 2022/08/02 21:09:04 - mmengine - INFO - Epoch(train) [46][720/1879] lr: 1.0000e-02 eta: 1 day, 7:18:22 time: 0.2833 data_time: 0.0203 memory: 8198 grad_norm: 5.0027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7559 loss: 1.7559 2022/08/02 21:09:10 - mmengine - INFO - Epoch(train) [46][740/1879] lr: 1.0000e-02 eta: 1 day, 7:18:16 time: 0.2805 data_time: 0.0240 memory: 8198 grad_norm: 5.1161 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1391 loss: 2.1391 2022/08/02 21:09:16 - mmengine - INFO - Epoch(train) [46][760/1879] lr: 1.0000e-02 eta: 1 day, 7:18:12 time: 0.3020 data_time: 0.0244 memory: 8198 grad_norm: 5.0428 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7018 loss: 1.7018 2022/08/02 21:09:22 - mmengine - INFO - Epoch(train) [46][780/1879] lr: 1.0000e-02 eta: 1 day, 7:18:06 time: 0.2882 data_time: 0.0200 memory: 8198 grad_norm: 4.8987 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6298 loss: 1.6298 2022/08/02 21:09:27 - mmengine - INFO - Epoch(train) [46][800/1879] lr: 1.0000e-02 eta: 1 day, 7:18:00 time: 0.2822 data_time: 0.0284 memory: 8198 grad_norm: 5.0978 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7751 loss: 1.7751 2022/08/02 21:09:33 - mmengine - INFO - Epoch(train) [46][820/1879] lr: 1.0000e-02 eta: 1 day, 7:17:55 time: 0.2862 data_time: 0.0228 memory: 8198 grad_norm: 4.9873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8049 loss: 1.8049 2022/08/02 21:09:39 - mmengine - INFO - Epoch(train) [46][840/1879] lr: 1.0000e-02 eta: 1 day, 7:17:49 time: 0.2840 data_time: 0.0204 memory: 8198 grad_norm: 5.0975 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7936 loss: 1.7936 2022/08/02 21:09:44 - mmengine - INFO - Epoch(train) [46][860/1879] lr: 1.0000e-02 eta: 1 day, 7:17:43 time: 0.2820 data_time: 0.0248 memory: 8198 grad_norm: 5.0819 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7388 loss: 1.7388 2022/08/02 21:09:50 - mmengine - INFO - Epoch(train) [46][880/1879] lr: 1.0000e-02 eta: 1 day, 7:17:37 time: 0.2828 data_time: 0.0213 memory: 8198 grad_norm: 5.1023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7913 loss: 1.7913 2022/08/02 21:09:56 - mmengine - INFO - Epoch(train) [46][900/1879] lr: 1.0000e-02 eta: 1 day, 7:17:33 time: 0.2965 data_time: 0.0241 memory: 8198 grad_norm: 4.9499 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8582 loss: 1.8582 2022/08/02 21:10:02 - mmengine - INFO - Epoch(train) [46][920/1879] lr: 1.0000e-02 eta: 1 day, 7:17:27 time: 0.2837 data_time: 0.0298 memory: 8198 grad_norm: 5.0334 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0911 loss: 2.0911 2022/08/02 21:10:07 - mmengine - INFO - Epoch(train) [46][940/1879] lr: 1.0000e-02 eta: 1 day, 7:17:21 time: 0.2881 data_time: 0.0296 memory: 8198 grad_norm: 5.0763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9513 loss: 1.9513 2022/08/02 21:10:13 - mmengine - INFO - Epoch(train) [46][960/1879] lr: 1.0000e-02 eta: 1 day, 7:17:16 time: 0.2844 data_time: 0.0217 memory: 8198 grad_norm: 5.1835 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8026 loss: 1.8026 2022/08/02 21:10:19 - mmengine - INFO - Epoch(train) [46][980/1879] lr: 1.0000e-02 eta: 1 day, 7:17:10 time: 0.2854 data_time: 0.0249 memory: 8198 grad_norm: 4.9937 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5462 loss: 1.5462 2022/08/02 21:10:24 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 1.0000e-02 eta: 1 day, 7:17:04 time: 0.2860 data_time: 0.0204 memory: 8198 grad_norm: 4.9442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6739 loss: 1.6739 2022/08/02 21:10:30 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 1.0000e-02 eta: 1 day, 7:16:58 time: 0.2787 data_time: 0.0223 memory: 8198 grad_norm: 5.2067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7505 loss: 1.7505 2022/08/02 21:10:36 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 1.0000e-02 eta: 1 day, 7:16:52 time: 0.2828 data_time: 0.0219 memory: 8198 grad_norm: 5.1047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7357 loss: 1.7357 2022/08/02 21:10:41 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 1.0000e-02 eta: 1 day, 7:16:46 time: 0.2831 data_time: 0.0239 memory: 8198 grad_norm: 5.2073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9029 loss: 1.9029 2022/08/02 21:10:47 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 1.0000e-02 eta: 1 day, 7:16:41 time: 0.2831 data_time: 0.0257 memory: 8198 grad_norm: 5.0701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8548 loss: 1.8548 2022/08/02 21:10:53 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 1.0000e-02 eta: 1 day, 7:16:35 time: 0.2808 data_time: 0.0256 memory: 8198 grad_norm: 4.9255 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5519 loss: 1.5519 2022/08/02 21:10:58 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 1.0000e-02 eta: 1 day, 7:16:29 time: 0.2831 data_time: 0.0230 memory: 8198 grad_norm: 4.9739 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7551 loss: 1.7551 2022/08/02 21:11:04 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 1.0000e-02 eta: 1 day, 7:16:23 time: 0.2835 data_time: 0.0213 memory: 8198 grad_norm: 5.0083 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8700 loss: 1.8700 2022/08/02 21:11:10 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 1.0000e-02 eta: 1 day, 7:16:17 time: 0.2834 data_time: 0.0284 memory: 8198 grad_norm: 5.1384 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6666 loss: 1.6666 2022/08/02 21:11:15 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 1.0000e-02 eta: 1 day, 7:16:11 time: 0.2855 data_time: 0.0238 memory: 8198 grad_norm: 5.1753 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7418 loss: 1.7418 2022/08/02 21:11:21 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 1.0000e-02 eta: 1 day, 7:16:05 time: 0.2820 data_time: 0.0185 memory: 8198 grad_norm: 5.0985 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6273 loss: 1.6273 2022/08/02 21:11:27 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 1.0000e-02 eta: 1 day, 7:16:00 time: 0.2851 data_time: 0.0282 memory: 8198 grad_norm: 5.0275 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7660 loss: 1.7660 2022/08/02 21:11:33 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 1.0000e-02 eta: 1 day, 7:15:55 time: 0.2924 data_time: 0.0216 memory: 8198 grad_norm: 5.0544 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0598 loss: 2.0598 2022/08/02 21:11:38 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 1.0000e-02 eta: 1 day, 7:15:49 time: 0.2787 data_time: 0.0190 memory: 8198 grad_norm: 4.9742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6604 loss: 1.6604 2022/08/02 21:11:44 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 1.0000e-02 eta: 1 day, 7:15:44 time: 0.2939 data_time: 0.0227 memory: 8198 grad_norm: 4.9986 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6209 loss: 1.6209 2022/08/02 21:11:50 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 1.0000e-02 eta: 1 day, 7:15:38 time: 0.2798 data_time: 0.0208 memory: 8198 grad_norm: 5.2059 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8931 loss: 1.8931 2022/08/02 21:11:56 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 1.0000e-02 eta: 1 day, 7:15:33 time: 0.2965 data_time: 0.0220 memory: 8198 grad_norm: 5.1006 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6668 loss: 1.6668 2022/08/02 21:12:01 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 1.0000e-02 eta: 1 day, 7:15:28 time: 0.2879 data_time: 0.0220 memory: 8198 grad_norm: 5.0235 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8896 loss: 1.8896 2022/08/02 21:12:07 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 1.0000e-02 eta: 1 day, 7:15:22 time: 0.2822 data_time: 0.0256 memory: 8198 grad_norm: 4.9351 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7853 loss: 1.7853 2022/08/02 21:12:13 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 1.0000e-02 eta: 1 day, 7:15:16 time: 0.2915 data_time: 0.0255 memory: 8198 grad_norm: 4.8707 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6235 loss: 1.6235 2022/08/02 21:12:18 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 1.0000e-02 eta: 1 day, 7:15:10 time: 0.2775 data_time: 0.0196 memory: 8198 grad_norm: 4.9398 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7371 loss: 1.7371 2022/08/02 21:12:24 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 1.0000e-02 eta: 1 day, 7:15:05 time: 0.2878 data_time: 0.0244 memory: 8198 grad_norm: 4.9997 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7247 loss: 1.7247 2022/08/02 21:12:30 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 1.0000e-02 eta: 1 day, 7:14:58 time: 0.2774 data_time: 0.0225 memory: 8198 grad_norm: 4.9391 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8127 loss: 1.8127 2022/08/02 21:12:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:12:35 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 1.0000e-02 eta: 1 day, 7:14:53 time: 0.2835 data_time: 0.0234 memory: 8198 grad_norm: 4.9957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8838 loss: 1.8838 2022/08/02 21:12:41 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 1.0000e-02 eta: 1 day, 7:14:47 time: 0.2813 data_time: 0.0189 memory: 8198 grad_norm: 4.9672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6339 loss: 1.6339 2022/08/02 21:12:47 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 1.0000e-02 eta: 1 day, 7:14:41 time: 0.2883 data_time: 0.0222 memory: 8198 grad_norm: 5.1774 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8309 loss: 1.8309 2022/08/02 21:12:53 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 1.0000e-02 eta: 1 day, 7:14:37 time: 0.3018 data_time: 0.0223 memory: 8198 grad_norm: 5.0296 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0029 loss: 2.0029 2022/08/02 21:12:58 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 1.0000e-02 eta: 1 day, 7:14:31 time: 0.2775 data_time: 0.0236 memory: 8198 grad_norm: 5.2338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9108 loss: 1.9108 2022/08/02 21:13:04 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 1.0000e-02 eta: 1 day, 7:14:25 time: 0.2827 data_time: 0.0231 memory: 8198 grad_norm: 5.0093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8895 loss: 1.8895 2022/08/02 21:13:10 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 1.0000e-02 eta: 1 day, 7:14:19 time: 0.2841 data_time: 0.0257 memory: 8198 grad_norm: 4.9965 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8022 loss: 1.8022 2022/08/02 21:13:16 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 1.0000e-02 eta: 1 day, 7:14:13 time: 0.2854 data_time: 0.0209 memory: 8198 grad_norm: 5.0397 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7638 loss: 1.7638 2022/08/02 21:13:21 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 1.0000e-02 eta: 1 day, 7:14:07 time: 0.2813 data_time: 0.0235 memory: 8198 grad_norm: 4.9337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6969 loss: 1.6969 2022/08/02 21:13:27 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 1.0000e-02 eta: 1 day, 7:14:01 time: 0.2798 data_time: 0.0212 memory: 8198 grad_norm: 5.0971 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8972 loss: 1.8972 2022/08/02 21:13:33 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 1.0000e-02 eta: 1 day, 7:13:56 time: 0.2951 data_time: 0.0270 memory: 8198 grad_norm: 5.0145 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7628 loss: 1.7628 2022/08/02 21:13:38 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 1.0000e-02 eta: 1 day, 7:13:50 time: 0.2810 data_time: 0.0202 memory: 8198 grad_norm: 5.0781 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7145 loss: 1.7145 2022/08/02 21:13:44 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 1.0000e-02 eta: 1 day, 7:13:46 time: 0.2985 data_time: 0.0364 memory: 8198 grad_norm: 5.1452 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7562 loss: 1.7562 2022/08/02 21:13:50 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 1.0000e-02 eta: 1 day, 7:13:40 time: 0.2843 data_time: 0.0248 memory: 8198 grad_norm: 5.1851 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8224 loss: 1.8224 2022/08/02 21:13:56 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 1.0000e-02 eta: 1 day, 7:13:35 time: 0.2873 data_time: 0.0268 memory: 8198 grad_norm: 4.9514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7415 loss: 1.7415 2022/08/02 21:14:02 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 1.0000e-02 eta: 1 day, 7:13:30 time: 0.2904 data_time: 0.0268 memory: 8198 grad_norm: 4.9920 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6303 loss: 1.6303 2022/08/02 21:14:07 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 1.0000e-02 eta: 1 day, 7:13:25 time: 0.2938 data_time: 0.0256 memory: 8198 grad_norm: 5.1016 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7755 loss: 1.7755 2022/08/02 21:14:13 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 1.0000e-02 eta: 1 day, 7:13:19 time: 0.2846 data_time: 0.0205 memory: 8198 grad_norm: 5.2108 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7037 loss: 1.7037 2022/08/02 21:14:19 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 1.0000e-02 eta: 1 day, 7:13:13 time: 0.2821 data_time: 0.0233 memory: 8198 grad_norm: 5.0969 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7545 loss: 1.7545 2022/08/02 21:14:25 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 1.0000e-02 eta: 1 day, 7:13:08 time: 0.2907 data_time: 0.0187 memory: 8198 grad_norm: 5.0210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6142 loss: 1.6142 2022/08/02 21:14:30 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 1.0000e-02 eta: 1 day, 7:13:02 time: 0.2827 data_time: 0.0282 memory: 8198 grad_norm: 5.0800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6321 loss: 1.6321 2022/08/02 21:14:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:14:35 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 1.0000e-02 eta: 1 day, 7:13:02 time: 0.2566 data_time: 0.0162 memory: 8198 grad_norm: 5.0847 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8399 loss: 1.8399 2022/08/02 21:14:43 - mmengine - INFO - Epoch(train) [47][20/1879] lr: 1.0000e-02 eta: 1 day, 7:12:37 time: 0.4027 data_time: 0.1303 memory: 8198 grad_norm: 4.8459 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4742 loss: 1.4742 2022/08/02 21:14:49 - mmengine - INFO - Epoch(train) [47][40/1879] lr: 1.0000e-02 eta: 1 day, 7:12:32 time: 0.2919 data_time: 0.0202 memory: 8198 grad_norm: 4.9268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7508 loss: 1.7508 2022/08/02 21:14:55 - mmengine - INFO - Epoch(train) [47][60/1879] lr: 1.0000e-02 eta: 1 day, 7:12:26 time: 0.2834 data_time: 0.0189 memory: 8198 grad_norm: 5.0417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8193 loss: 1.8193 2022/08/02 21:15:01 - mmengine - INFO - Epoch(train) [47][80/1879] lr: 1.0000e-02 eta: 1 day, 7:12:22 time: 0.3002 data_time: 0.0220 memory: 8198 grad_norm: 4.9063 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7942 loss: 1.7942 2022/08/02 21:15:07 - mmengine - INFO - Epoch(train) [47][100/1879] lr: 1.0000e-02 eta: 1 day, 7:12:17 time: 0.2901 data_time: 0.0239 memory: 8198 grad_norm: 5.0320 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7360 loss: 1.7360 2022/08/02 21:15:12 - mmengine - INFO - Epoch(train) [47][120/1879] lr: 1.0000e-02 eta: 1 day, 7:12:12 time: 0.2926 data_time: 0.0218 memory: 8198 grad_norm: 5.0150 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6819 loss: 1.6819 2022/08/02 21:15:18 - mmengine - INFO - Epoch(train) [47][140/1879] lr: 1.0000e-02 eta: 1 day, 7:12:05 time: 0.2801 data_time: 0.0220 memory: 8198 grad_norm: 5.1162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8433 loss: 1.8433 2022/08/02 21:15:24 - mmengine - INFO - Epoch(train) [47][160/1879] lr: 1.0000e-02 eta: 1 day, 7:12:00 time: 0.2828 data_time: 0.0188 memory: 8198 grad_norm: 5.1278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/08/02 21:15:29 - mmengine - INFO - Epoch(train) [47][180/1879] lr: 1.0000e-02 eta: 1 day, 7:11:54 time: 0.2828 data_time: 0.0241 memory: 8198 grad_norm: 5.0596 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8471 loss: 1.8471 2022/08/02 21:15:35 - mmengine - INFO - Epoch(train) [47][200/1879] lr: 1.0000e-02 eta: 1 day, 7:11:48 time: 0.2858 data_time: 0.0250 memory: 8198 grad_norm: 4.8542 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5156 loss: 1.5156 2022/08/02 21:15:41 - mmengine - INFO - Epoch(train) [47][220/1879] lr: 1.0000e-02 eta: 1 day, 7:11:42 time: 0.2839 data_time: 0.0220 memory: 8198 grad_norm: 4.9428 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8162 loss: 1.8162 2022/08/02 21:15:47 - mmengine - INFO - Epoch(train) [47][240/1879] lr: 1.0000e-02 eta: 1 day, 7:11:37 time: 0.2877 data_time: 0.0226 memory: 8198 grad_norm: 5.0558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/02 21:15:53 - mmengine - INFO - Epoch(train) [47][260/1879] lr: 1.0000e-02 eta: 1 day, 7:11:33 time: 0.3004 data_time: 0.0230 memory: 8198 grad_norm: 4.9736 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7548 loss: 1.7548 2022/08/02 21:15:58 - mmengine - INFO - Epoch(train) [47][280/1879] lr: 1.0000e-02 eta: 1 day, 7:11:26 time: 0.2750 data_time: 0.0187 memory: 8198 grad_norm: 5.2035 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7235 loss: 1.7235 2022/08/02 21:16:04 - mmengine - INFO - Epoch(train) [47][300/1879] lr: 1.0000e-02 eta: 1 day, 7:11:20 time: 0.2844 data_time: 0.0276 memory: 8198 grad_norm: 4.9788 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6397 loss: 1.6397 2022/08/02 21:16:09 - mmengine - INFO - Epoch(train) [47][320/1879] lr: 1.0000e-02 eta: 1 day, 7:11:14 time: 0.2825 data_time: 0.0208 memory: 8198 grad_norm: 4.9647 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9116 loss: 1.9116 2022/08/02 21:16:15 - mmengine - INFO - Epoch(train) [47][340/1879] lr: 1.0000e-02 eta: 1 day, 7:11:09 time: 0.2909 data_time: 0.0226 memory: 8198 grad_norm: 5.0860 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5892 loss: 1.5892 2022/08/02 21:16:21 - mmengine - INFO - Epoch(train) [47][360/1879] lr: 1.0000e-02 eta: 1 day, 7:11:04 time: 0.2878 data_time: 0.0192 memory: 8198 grad_norm: 5.1133 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6377 loss: 1.6377 2022/08/02 21:16:27 - mmengine - INFO - Epoch(train) [47][380/1879] lr: 1.0000e-02 eta: 1 day, 7:10:59 time: 0.2932 data_time: 0.0246 memory: 8198 grad_norm: 5.1845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6520 loss: 1.6520 2022/08/02 21:16:33 - mmengine - INFO - Epoch(train) [47][400/1879] lr: 1.0000e-02 eta: 1 day, 7:10:54 time: 0.2879 data_time: 0.0233 memory: 8198 grad_norm: 5.0842 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1834 loss: 2.1834 2022/08/02 21:16:38 - mmengine - INFO - Epoch(train) [47][420/1879] lr: 1.0000e-02 eta: 1 day, 7:10:47 time: 0.2776 data_time: 0.0234 memory: 8198 grad_norm: 5.0763 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8074 loss: 1.8074 2022/08/02 21:16:44 - mmengine - INFO - Epoch(train) [47][440/1879] lr: 1.0000e-02 eta: 1 day, 7:10:41 time: 0.2838 data_time: 0.0232 memory: 8198 grad_norm: 4.9357 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7179 loss: 1.7179 2022/08/02 21:16:50 - mmengine - INFO - Epoch(train) [47][460/1879] lr: 1.0000e-02 eta: 1 day, 7:10:35 time: 0.2804 data_time: 0.0215 memory: 8198 grad_norm: 5.1240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/08/02 21:16:55 - mmengine - INFO - Epoch(train) [47][480/1879] lr: 1.0000e-02 eta: 1 day, 7:10:30 time: 0.2845 data_time: 0.0259 memory: 8198 grad_norm: 5.0000 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6208 loss: 1.6208 2022/08/02 21:17:01 - mmengine - INFO - Epoch(train) [47][500/1879] lr: 1.0000e-02 eta: 1 day, 7:10:24 time: 0.2859 data_time: 0.0244 memory: 8198 grad_norm: 5.1740 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5847 loss: 1.5847 2022/08/02 21:17:07 - mmengine - INFO - Epoch(train) [47][520/1879] lr: 1.0000e-02 eta: 1 day, 7:10:18 time: 0.2827 data_time: 0.0188 memory: 8198 grad_norm: 4.9629 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6599 loss: 1.6599 2022/08/02 21:17:12 - mmengine - INFO - Epoch(train) [47][540/1879] lr: 1.0000e-02 eta: 1 day, 7:10:13 time: 0.2877 data_time: 0.0209 memory: 8198 grad_norm: 4.9028 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/08/02 21:17:18 - mmengine - INFO - Epoch(train) [47][560/1879] lr: 1.0000e-02 eta: 1 day, 7:10:07 time: 0.2806 data_time: 0.0219 memory: 8198 grad_norm: 5.1600 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6128 loss: 1.6128 2022/08/02 21:17:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:17:24 - mmengine - INFO - Epoch(train) [47][580/1879] lr: 1.0000e-02 eta: 1 day, 7:10:01 time: 0.2884 data_time: 0.0215 memory: 8198 grad_norm: 5.0373 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8718 loss: 1.8718 2022/08/02 21:17:29 - mmengine - INFO - Epoch(train) [47][600/1879] lr: 1.0000e-02 eta: 1 day, 7:09:55 time: 0.2816 data_time: 0.0268 memory: 8198 grad_norm: 5.1147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7540 loss: 1.7540 2022/08/02 21:17:35 - mmengine - INFO - Epoch(train) [47][620/1879] lr: 1.0000e-02 eta: 1 day, 7:09:50 time: 0.2845 data_time: 0.0256 memory: 8198 grad_norm: 4.9785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6054 loss: 1.6054 2022/08/02 21:17:41 - mmengine - INFO - Epoch(train) [47][640/1879] lr: 1.0000e-02 eta: 1 day, 7:09:43 time: 0.2802 data_time: 0.0268 memory: 8198 grad_norm: 5.0905 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6957 loss: 1.6957 2022/08/02 21:17:46 - mmengine - INFO - Epoch(train) [47][660/1879] lr: 1.0000e-02 eta: 1 day, 7:09:38 time: 0.2840 data_time: 0.0225 memory: 8198 grad_norm: 4.9318 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6926 loss: 1.6926 2022/08/02 21:17:52 - mmengine - INFO - Epoch(train) [47][680/1879] lr: 1.0000e-02 eta: 1 day, 7:09:32 time: 0.2820 data_time: 0.0239 memory: 8198 grad_norm: 5.0631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0275 loss: 2.0275 2022/08/02 21:17:58 - mmengine - INFO - Epoch(train) [47][700/1879] lr: 1.0000e-02 eta: 1 day, 7:09:26 time: 0.2831 data_time: 0.0233 memory: 8198 grad_norm: 5.0579 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7128 loss: 1.7128 2022/08/02 21:18:03 - mmengine - INFO - Epoch(train) [47][720/1879] lr: 1.0000e-02 eta: 1 day, 7:09:20 time: 0.2806 data_time: 0.0195 memory: 8198 grad_norm: 4.9493 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7798 loss: 1.7798 2022/08/02 21:18:09 - mmengine - INFO - Epoch(train) [47][740/1879] lr: 1.0000e-02 eta: 1 day, 7:09:14 time: 0.2862 data_time: 0.0267 memory: 8198 grad_norm: 5.1888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8321 loss: 1.8321 2022/08/02 21:18:15 - mmengine - INFO - Epoch(train) [47][760/1879] lr: 1.0000e-02 eta: 1 day, 7:09:08 time: 0.2842 data_time: 0.0248 memory: 8198 grad_norm: 5.1866 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7110 loss: 1.7110 2022/08/02 21:18:21 - mmengine - INFO - Epoch(train) [47][780/1879] lr: 1.0000e-02 eta: 1 day, 7:09:03 time: 0.2849 data_time: 0.0231 memory: 8198 grad_norm: 5.0019 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7541 loss: 1.7541 2022/08/02 21:18:26 - mmengine - INFO - Epoch(train) [47][800/1879] lr: 1.0000e-02 eta: 1 day, 7:08:58 time: 0.2920 data_time: 0.0185 memory: 8198 grad_norm: 5.1799 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8139 loss: 1.8139 2022/08/02 21:18:32 - mmengine - INFO - Epoch(train) [47][820/1879] lr: 1.0000e-02 eta: 1 day, 7:08:52 time: 0.2809 data_time: 0.0243 memory: 8198 grad_norm: 4.9025 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7103 loss: 1.7103 2022/08/02 21:18:38 - mmengine - INFO - Epoch(train) [47][840/1879] lr: 1.0000e-02 eta: 1 day, 7:08:46 time: 0.2850 data_time: 0.0216 memory: 8198 grad_norm: 5.1776 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8349 loss: 1.8349 2022/08/02 21:18:44 - mmengine - INFO - Epoch(train) [47][860/1879] lr: 1.0000e-02 eta: 1 day, 7:08:43 time: 0.3128 data_time: 0.0228 memory: 8198 grad_norm: 5.0873 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5392 loss: 1.5392 2022/08/02 21:18:49 - mmengine - INFO - Epoch(train) [47][880/1879] lr: 1.0000e-02 eta: 1 day, 7:08:36 time: 0.2767 data_time: 0.0206 memory: 8198 grad_norm: 5.0464 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7195 loss: 1.7195 2022/08/02 21:18:55 - mmengine - INFO - Epoch(train) [47][900/1879] lr: 1.0000e-02 eta: 1 day, 7:08:31 time: 0.2889 data_time: 0.0282 memory: 8198 grad_norm: 4.9624 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7419 loss: 1.7419 2022/08/02 21:19:01 - mmengine - INFO - Epoch(train) [47][920/1879] lr: 1.0000e-02 eta: 1 day, 7:08:25 time: 0.2829 data_time: 0.0206 memory: 8198 grad_norm: 4.8990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9530 loss: 1.9530 2022/08/02 21:19:07 - mmengine - INFO - Epoch(train) [47][940/1879] lr: 1.0000e-02 eta: 1 day, 7:08:20 time: 0.2847 data_time: 0.0266 memory: 8198 grad_norm: 5.0530 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8979 loss: 1.8979 2022/08/02 21:19:12 - mmengine - INFO - Epoch(train) [47][960/1879] lr: 1.0000e-02 eta: 1 day, 7:08:14 time: 0.2853 data_time: 0.0251 memory: 8198 grad_norm: 5.1331 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8023 loss: 1.8023 2022/08/02 21:19:18 - mmengine - INFO - Epoch(train) [47][980/1879] lr: 1.0000e-02 eta: 1 day, 7:08:08 time: 0.2845 data_time: 0.0212 memory: 8198 grad_norm: 5.0415 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7319 loss: 1.7319 2022/08/02 21:19:24 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 1.0000e-02 eta: 1 day, 7:08:03 time: 0.2926 data_time: 0.0273 memory: 8198 grad_norm: 4.9234 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.6784 loss: 1.6784 2022/08/02 21:19:30 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 1.0000e-02 eta: 1 day, 7:07:57 time: 0.2791 data_time: 0.0251 memory: 8198 grad_norm: 4.9165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6832 loss: 1.6832 2022/08/02 21:19:35 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 1.0000e-02 eta: 1 day, 7:07:51 time: 0.2799 data_time: 0.0175 memory: 8198 grad_norm: 5.0474 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9360 loss: 1.9360 2022/08/02 21:19:41 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 1.0000e-02 eta: 1 day, 7:07:45 time: 0.2862 data_time: 0.0214 memory: 8198 grad_norm: 4.9955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6688 loss: 1.6688 2022/08/02 21:19:47 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 1.0000e-02 eta: 1 day, 7:07:41 time: 0.2977 data_time: 0.0245 memory: 8198 grad_norm: 5.0098 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7471 loss: 1.7471 2022/08/02 21:19:52 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 1.0000e-02 eta: 1 day, 7:07:35 time: 0.2795 data_time: 0.0212 memory: 8198 grad_norm: 4.9998 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8760 loss: 1.8760 2022/08/02 21:19:58 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 1.0000e-02 eta: 1 day, 7:07:29 time: 0.2823 data_time: 0.0205 memory: 8198 grad_norm: 5.0373 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7681 loss: 1.7681 2022/08/02 21:20:04 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 1.0000e-02 eta: 1 day, 7:07:25 time: 0.3052 data_time: 0.0236 memory: 8198 grad_norm: 4.9428 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8125 loss: 1.8125 2022/08/02 21:20:10 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 1.0000e-02 eta: 1 day, 7:07:19 time: 0.2857 data_time: 0.0317 memory: 8198 grad_norm: 5.1325 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8488 loss: 1.8488 2022/08/02 21:20:16 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 1.0000e-02 eta: 1 day, 7:07:13 time: 0.2820 data_time: 0.0249 memory: 8198 grad_norm: 4.9929 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7417 loss: 1.7417 2022/08/02 21:20:21 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 1.0000e-02 eta: 1 day, 7:07:07 time: 0.2802 data_time: 0.0216 memory: 8198 grad_norm: 5.0554 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7905 loss: 1.7905 2022/08/02 21:20:27 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 1.0000e-02 eta: 1 day, 7:07:02 time: 0.2900 data_time: 0.0254 memory: 8198 grad_norm: 5.1310 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6775 loss: 1.6775 2022/08/02 21:20:33 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 1.0000e-02 eta: 1 day, 7:06:57 time: 0.2878 data_time: 0.0231 memory: 8198 grad_norm: 5.1842 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7993 loss: 1.7993 2022/08/02 21:20:38 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 1.0000e-02 eta: 1 day, 7:06:50 time: 0.2796 data_time: 0.0227 memory: 8198 grad_norm: 4.9328 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6796 loss: 1.6796 2022/08/02 21:20:44 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 1.0000e-02 eta: 1 day, 7:06:45 time: 0.2857 data_time: 0.0261 memory: 8198 grad_norm: 5.1124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7333 loss: 1.7333 2022/08/02 21:20:50 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 1.0000e-02 eta: 1 day, 7:06:39 time: 0.2830 data_time: 0.0259 memory: 8198 grad_norm: 4.9929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7665 loss: 1.7665 2022/08/02 21:20:55 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 1.0000e-02 eta: 1 day, 7:06:33 time: 0.2840 data_time: 0.0212 memory: 8198 grad_norm: 5.0723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9607 loss: 1.9607 2022/08/02 21:21:01 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 1.0000e-02 eta: 1 day, 7:06:27 time: 0.2852 data_time: 0.0237 memory: 8198 grad_norm: 4.9985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4924 loss: 1.4924 2022/08/02 21:21:07 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 1.0000e-02 eta: 1 day, 7:06:23 time: 0.2941 data_time: 0.0376 memory: 8198 grad_norm: 5.0947 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8185 loss: 1.8185 2022/08/02 21:21:13 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 1.0000e-02 eta: 1 day, 7:06:16 time: 0.2793 data_time: 0.0223 memory: 8198 grad_norm: 5.0080 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6873 loss: 1.6873 2022/08/02 21:21:18 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 1.0000e-02 eta: 1 day, 7:06:10 time: 0.2791 data_time: 0.0218 memory: 8198 grad_norm: 5.0450 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8018 loss: 1.8018 2022/08/02 21:21:24 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 1.0000e-02 eta: 1 day, 7:06:06 time: 0.2980 data_time: 0.0222 memory: 8198 grad_norm: 4.9664 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6444 loss: 1.6444 2022/08/02 21:21:30 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 1.0000e-02 eta: 1 day, 7:05:59 time: 0.2782 data_time: 0.0151 memory: 8198 grad_norm: 5.0624 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8058 loss: 1.8058 2022/08/02 21:21:35 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 1.0000e-02 eta: 1 day, 7:05:53 time: 0.2806 data_time: 0.0234 memory: 8198 grad_norm: 5.1022 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6792 loss: 1.6792 2022/08/02 21:21:41 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 1.0000e-02 eta: 1 day, 7:05:47 time: 0.2809 data_time: 0.0246 memory: 8198 grad_norm: 5.0702 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8820 loss: 1.8820 2022/08/02 21:21:47 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 1.0000e-02 eta: 1 day, 7:05:45 time: 0.3221 data_time: 0.0194 memory: 8198 grad_norm: 4.9061 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5476 loss: 1.5476 2022/08/02 21:21:53 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 1.0000e-02 eta: 1 day, 7:05:40 time: 0.2911 data_time: 0.0231 memory: 8198 grad_norm: 4.9719 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7862 loss: 1.7862 2022/08/02 21:21:59 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 1.0000e-02 eta: 1 day, 7:05:34 time: 0.2837 data_time: 0.0288 memory: 8198 grad_norm: 4.9958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8477 loss: 1.8477 2022/08/02 21:22:05 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 1.0000e-02 eta: 1 day, 7:05:28 time: 0.2812 data_time: 0.0243 memory: 8198 grad_norm: 4.8665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/08/02 21:22:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:22:10 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 1.0000e-02 eta: 1 day, 7:05:22 time: 0.2843 data_time: 0.0265 memory: 8198 grad_norm: 5.0620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7283 loss: 1.7283 2022/08/02 21:22:16 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 1.0000e-02 eta: 1 day, 7:05:16 time: 0.2839 data_time: 0.0195 memory: 8198 grad_norm: 5.1215 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5876 loss: 1.5876 2022/08/02 21:22:22 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 1.0000e-02 eta: 1 day, 7:05:10 time: 0.2811 data_time: 0.0251 memory: 8198 grad_norm: 5.1197 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8308 loss: 1.8308 2022/08/02 21:22:27 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 1.0000e-02 eta: 1 day, 7:05:04 time: 0.2792 data_time: 0.0166 memory: 8198 grad_norm: 5.1485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8874 loss: 1.8874 2022/08/02 21:22:33 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 1.0000e-02 eta: 1 day, 7:04:59 time: 0.2928 data_time: 0.0260 memory: 8198 grad_norm: 5.0298 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7499 loss: 1.7499 2022/08/02 21:22:39 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 1.0000e-02 eta: 1 day, 7:04:54 time: 0.2887 data_time: 0.0214 memory: 8198 grad_norm: 5.0226 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/08/02 21:22:45 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 1.0000e-02 eta: 1 day, 7:04:48 time: 0.2823 data_time: 0.0227 memory: 8198 grad_norm: 5.2149 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9796 loss: 1.9796 2022/08/02 21:22:50 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 1.0000e-02 eta: 1 day, 7:04:42 time: 0.2825 data_time: 0.0227 memory: 8198 grad_norm: 5.0022 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6363 loss: 1.6363 2022/08/02 21:22:56 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 1.0000e-02 eta: 1 day, 7:04:37 time: 0.2885 data_time: 0.0240 memory: 8198 grad_norm: 5.0724 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8280 loss: 1.8280 2022/08/02 21:23:02 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 1.0000e-02 eta: 1 day, 7:04:32 time: 0.2897 data_time: 0.0348 memory: 8198 grad_norm: 5.1480 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8317 loss: 1.8317 2022/08/02 21:23:07 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 1.0000e-02 eta: 1 day, 7:04:26 time: 0.2828 data_time: 0.0212 memory: 8198 grad_norm: 5.0505 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7059 loss: 1.7059 2022/08/02 21:23:13 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 1.0000e-02 eta: 1 day, 7:04:20 time: 0.2821 data_time: 0.0250 memory: 8198 grad_norm: 5.1226 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9980 loss: 1.9980 2022/08/02 21:23:19 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 1.0000e-02 eta: 1 day, 7:04:14 time: 0.2856 data_time: 0.0221 memory: 8198 grad_norm: 4.9882 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6147 loss: 1.6147 2022/08/02 21:23:25 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 1.0000e-02 eta: 1 day, 7:04:08 time: 0.2859 data_time: 0.0236 memory: 8198 grad_norm: 5.0712 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6280 loss: 1.6280 2022/08/02 21:23:30 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 1.0000e-02 eta: 1 day, 7:04:03 time: 0.2816 data_time: 0.0229 memory: 8198 grad_norm: 4.9094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8653 loss: 1.8653 2022/08/02 21:23:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:23:35 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 1.0000e-02 eta: 1 day, 7:04:03 time: 0.2553 data_time: 0.0139 memory: 8198 grad_norm: 5.1492 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.8857 loss: 1.8857 2022/08/02 21:23:43 - mmengine - INFO - Epoch(train) [48][20/1879] lr: 1.0000e-02 eta: 1 day, 7:03:39 time: 0.4201 data_time: 0.1514 memory: 8198 grad_norm: 4.9725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8543 loss: 1.8543 2022/08/02 21:23:49 - mmengine - INFO - Epoch(train) [48][40/1879] lr: 1.0000e-02 eta: 1 day, 7:03:34 time: 0.2828 data_time: 0.0156 memory: 8198 grad_norm: 4.9434 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6989 loss: 1.6989 2022/08/02 21:23:55 - mmengine - INFO - Epoch(train) [48][60/1879] lr: 1.0000e-02 eta: 1 day, 7:03:29 time: 0.2931 data_time: 0.0270 memory: 8198 grad_norm: 4.9738 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6939 loss: 1.6939 2022/08/02 21:24:01 - mmengine - INFO - Epoch(train) [48][80/1879] lr: 1.0000e-02 eta: 1 day, 7:03:23 time: 0.2810 data_time: 0.0216 memory: 8198 grad_norm: 5.1256 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9091 loss: 1.9091 2022/08/02 21:24:06 - mmengine - INFO - Epoch(train) [48][100/1879] lr: 1.0000e-02 eta: 1 day, 7:03:17 time: 0.2849 data_time: 0.0287 memory: 8198 grad_norm: 5.1047 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6103 loss: 1.6103 2022/08/02 21:24:12 - mmengine - INFO - Epoch(train) [48][120/1879] lr: 1.0000e-02 eta: 1 day, 7:03:11 time: 0.2778 data_time: 0.0216 memory: 8198 grad_norm: 5.0475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5954 loss: 1.5954 2022/08/02 21:24:18 - mmengine - INFO - Epoch(train) [48][140/1879] lr: 1.0000e-02 eta: 1 day, 7:03:05 time: 0.2846 data_time: 0.0249 memory: 8198 grad_norm: 5.0013 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8085 loss: 1.8085 2022/08/02 21:24:23 - mmengine - INFO - Epoch(train) [48][160/1879] lr: 1.0000e-02 eta: 1 day, 7:02:59 time: 0.2832 data_time: 0.0260 memory: 8198 grad_norm: 5.0114 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6292 loss: 1.6292 2022/08/02 21:24:29 - mmengine - INFO - Epoch(train) [48][180/1879] lr: 1.0000e-02 eta: 1 day, 7:02:53 time: 0.2811 data_time: 0.0248 memory: 8198 grad_norm: 5.0372 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7643 loss: 1.7643 2022/08/02 21:24:35 - mmengine - INFO - Epoch(train) [48][200/1879] lr: 1.0000e-02 eta: 1 day, 7:02:47 time: 0.2848 data_time: 0.0229 memory: 8198 grad_norm: 4.9261 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8985 loss: 1.8985 2022/08/02 21:24:40 - mmengine - INFO - Epoch(train) [48][220/1879] lr: 1.0000e-02 eta: 1 day, 7:02:41 time: 0.2821 data_time: 0.0203 memory: 8198 grad_norm: 5.1379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6976 loss: 1.6976 2022/08/02 21:24:46 - mmengine - INFO - Epoch(train) [48][240/1879] lr: 1.0000e-02 eta: 1 day, 7:02:35 time: 0.2826 data_time: 0.0240 memory: 8198 grad_norm: 5.0195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5760 loss: 1.5760 2022/08/02 21:24:52 - mmengine - INFO - Epoch(train) [48][260/1879] lr: 1.0000e-02 eta: 1 day, 7:02:30 time: 0.2858 data_time: 0.0284 memory: 8198 grad_norm: 5.0770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6857 loss: 1.6857 2022/08/02 21:24:57 - mmengine - INFO - Epoch(train) [48][280/1879] lr: 1.0000e-02 eta: 1 day, 7:02:24 time: 0.2865 data_time: 0.0251 memory: 8198 grad_norm: 5.0646 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4923 loss: 1.4923 2022/08/02 21:25:03 - mmengine - INFO - Epoch(train) [48][300/1879] lr: 1.0000e-02 eta: 1 day, 7:02:19 time: 0.2845 data_time: 0.0257 memory: 8198 grad_norm: 5.0608 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6005 loss: 1.6005 2022/08/02 21:25:09 - mmengine - INFO - Epoch(train) [48][320/1879] lr: 1.0000e-02 eta: 1 day, 7:02:13 time: 0.2830 data_time: 0.0252 memory: 8198 grad_norm: 4.9600 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7547 loss: 1.7547 2022/08/02 21:25:14 - mmengine - INFO - Epoch(train) [48][340/1879] lr: 1.0000e-02 eta: 1 day, 7:02:07 time: 0.2824 data_time: 0.0261 memory: 8198 grad_norm: 4.9721 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6653 loss: 1.6653 2022/08/02 21:25:20 - mmengine - INFO - Epoch(train) [48][360/1879] lr: 1.0000e-02 eta: 1 day, 7:02:02 time: 0.2950 data_time: 0.0231 memory: 8198 grad_norm: 5.0192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5574 loss: 1.5574 2022/08/02 21:25:26 - mmengine - INFO - Epoch(train) [48][380/1879] lr: 1.0000e-02 eta: 1 day, 7:01:56 time: 0.2818 data_time: 0.0237 memory: 8198 grad_norm: 5.1134 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6125 loss: 1.6125 2022/08/02 21:25:32 - mmengine - INFO - Epoch(train) [48][400/1879] lr: 1.0000e-02 eta: 1 day, 7:01:50 time: 0.2779 data_time: 0.0196 memory: 8198 grad_norm: 4.9298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6332 loss: 1.6332 2022/08/02 21:25:37 - mmengine - INFO - Epoch(train) [48][420/1879] lr: 1.0000e-02 eta: 1 day, 7:01:44 time: 0.2870 data_time: 0.0264 memory: 8198 grad_norm: 5.0030 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6349 loss: 1.6349 2022/08/02 21:25:43 - mmengine - INFO - Epoch(train) [48][440/1879] lr: 1.0000e-02 eta: 1 day, 7:01:38 time: 0.2835 data_time: 0.0225 memory: 8198 grad_norm: 5.0264 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6484 loss: 1.6484 2022/08/02 21:25:49 - mmengine - INFO - Epoch(train) [48][460/1879] lr: 1.0000e-02 eta: 1 day, 7:01:33 time: 0.2834 data_time: 0.0249 memory: 8198 grad_norm: 5.1634 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5697 loss: 1.5697 2022/08/02 21:25:54 - mmengine - INFO - Epoch(train) [48][480/1879] lr: 1.0000e-02 eta: 1 day, 7:01:27 time: 0.2865 data_time: 0.0239 memory: 8198 grad_norm: 5.2517 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7707 loss: 1.7707 2022/08/02 21:26:00 - mmengine - INFO - Epoch(train) [48][500/1879] lr: 1.0000e-02 eta: 1 day, 7:01:21 time: 0.2831 data_time: 0.0215 memory: 8198 grad_norm: 5.0236 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7337 loss: 1.7337 2022/08/02 21:26:06 - mmengine - INFO - Epoch(train) [48][520/1879] lr: 1.0000e-02 eta: 1 day, 7:01:15 time: 0.2825 data_time: 0.0277 memory: 8198 grad_norm: 5.1468 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8360 loss: 1.8360 2022/08/02 21:26:11 - mmengine - INFO - Epoch(train) [48][540/1879] lr: 1.0000e-02 eta: 1 day, 7:01:10 time: 0.2851 data_time: 0.0251 memory: 8198 grad_norm: 5.0911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6653 loss: 1.6653 2022/08/02 21:26:17 - mmengine - INFO - Epoch(train) [48][560/1879] lr: 1.0000e-02 eta: 1 day, 7:01:04 time: 0.2886 data_time: 0.0241 memory: 8198 grad_norm: 5.0539 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8177 loss: 1.8177 2022/08/02 21:26:23 - mmengine - INFO - Epoch(train) [48][580/1879] lr: 1.0000e-02 eta: 1 day, 7:00:58 time: 0.2810 data_time: 0.0219 memory: 8198 grad_norm: 5.1405 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6631 loss: 1.6631 2022/08/02 21:26:28 - mmengine - INFO - Epoch(train) [48][600/1879] lr: 1.0000e-02 eta: 1 day, 7:00:53 time: 0.2829 data_time: 0.0221 memory: 8198 grad_norm: 5.0421 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8343 loss: 1.8343 2022/08/02 21:26:34 - mmengine - INFO - Epoch(train) [48][620/1879] lr: 1.0000e-02 eta: 1 day, 7:00:47 time: 0.2889 data_time: 0.0266 memory: 8198 grad_norm: 5.0371 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6137 loss: 1.6137 2022/08/02 21:26:40 - mmengine - INFO - Epoch(train) [48][640/1879] lr: 1.0000e-02 eta: 1 day, 7:00:41 time: 0.2785 data_time: 0.0226 memory: 8198 grad_norm: 5.1016 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7694 loss: 1.7694 2022/08/02 21:26:45 - mmengine - INFO - Epoch(train) [48][660/1879] lr: 1.0000e-02 eta: 1 day, 7:00:35 time: 0.2794 data_time: 0.0214 memory: 8198 grad_norm: 5.0879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7616 loss: 1.7616 2022/08/02 21:26:51 - mmengine - INFO - Epoch(train) [48][680/1879] lr: 1.0000e-02 eta: 1 day, 7:00:29 time: 0.2846 data_time: 0.0234 memory: 8198 grad_norm: 4.9956 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8231 loss: 1.8231 2022/08/02 21:26:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:26:57 - mmengine - INFO - Epoch(train) [48][700/1879] lr: 1.0000e-02 eta: 1 day, 7:00:23 time: 0.2850 data_time: 0.0233 memory: 8198 grad_norm: 5.0183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8490 loss: 1.8490 2022/08/02 21:27:03 - mmengine - INFO - Epoch(train) [48][720/1879] lr: 1.0000e-02 eta: 1 day, 7:00:17 time: 0.2821 data_time: 0.0225 memory: 8198 grad_norm: 5.0270 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6836 loss: 1.6836 2022/08/02 21:27:08 - mmengine - INFO - Epoch(train) [48][740/1879] lr: 1.0000e-02 eta: 1 day, 7:00:12 time: 0.2843 data_time: 0.0304 memory: 8198 grad_norm: 5.0446 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5595 loss: 1.5595 2022/08/02 21:27:14 - mmengine - INFO - Epoch(train) [48][760/1879] lr: 1.0000e-02 eta: 1 day, 7:00:07 time: 0.2990 data_time: 0.0236 memory: 8198 grad_norm: 5.1320 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6274 loss: 1.6274 2022/08/02 21:27:20 - mmengine - INFO - Epoch(train) [48][780/1879] lr: 1.0000e-02 eta: 1 day, 7:00:01 time: 0.2791 data_time: 0.0198 memory: 8198 grad_norm: 5.0540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6439 loss: 1.6439 2022/08/02 21:27:26 - mmengine - INFO - Epoch(train) [48][800/1879] lr: 1.0000e-02 eta: 1 day, 6:59:56 time: 0.2893 data_time: 0.0333 memory: 8198 grad_norm: 5.1051 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7620 loss: 1.7620 2022/08/02 21:27:31 - mmengine - INFO - Epoch(train) [48][820/1879] lr: 1.0000e-02 eta: 1 day, 6:59:50 time: 0.2831 data_time: 0.0266 memory: 8198 grad_norm: 5.1538 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7289 loss: 1.7289 2022/08/02 21:27:37 - mmengine - INFO - Epoch(train) [48][840/1879] lr: 1.0000e-02 eta: 1 day, 6:59:44 time: 0.2839 data_time: 0.0242 memory: 8198 grad_norm: 4.9600 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7653 loss: 1.7653 2022/08/02 21:27:43 - mmengine - INFO - Epoch(train) [48][860/1879] lr: 1.0000e-02 eta: 1 day, 6:59:38 time: 0.2845 data_time: 0.0242 memory: 8198 grad_norm: 5.1249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8769 loss: 1.8769 2022/08/02 21:27:48 - mmengine - INFO - Epoch(train) [48][880/1879] lr: 1.0000e-02 eta: 1 day, 6:59:32 time: 0.2803 data_time: 0.0190 memory: 8198 grad_norm: 4.9991 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6607 loss: 1.6607 2022/08/02 21:27:54 - mmengine - INFO - Epoch(train) [48][900/1879] lr: 1.0000e-02 eta: 1 day, 6:59:27 time: 0.2927 data_time: 0.0255 memory: 8198 grad_norm: 5.0920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9202 loss: 1.9202 2022/08/02 21:28:00 - mmengine - INFO - Epoch(train) [48][920/1879] lr: 1.0000e-02 eta: 1 day, 6:59:21 time: 0.2774 data_time: 0.0204 memory: 8198 grad_norm: 5.1457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8214 loss: 1.8214 2022/08/02 21:28:05 - mmengine - INFO - Epoch(train) [48][940/1879] lr: 1.0000e-02 eta: 1 day, 6:59:15 time: 0.2812 data_time: 0.0220 memory: 8198 grad_norm: 5.0506 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5576 loss: 1.5576 2022/08/02 21:28:11 - mmengine - INFO - Epoch(train) [48][960/1879] lr: 1.0000e-02 eta: 1 day, 6:59:09 time: 0.2819 data_time: 0.0216 memory: 8198 grad_norm: 5.1265 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7355 loss: 1.7355 2022/08/02 21:28:17 - mmengine - INFO - Epoch(train) [48][980/1879] lr: 1.0000e-02 eta: 1 day, 6:59:04 time: 0.2883 data_time: 0.0235 memory: 8198 grad_norm: 5.0272 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6787 loss: 1.6787 2022/08/02 21:28:22 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 1.0000e-02 eta: 1 day, 6:58:58 time: 0.2801 data_time: 0.0254 memory: 8198 grad_norm: 5.2797 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0289 loss: 2.0289 2022/08/02 21:28:28 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 1.0000e-02 eta: 1 day, 6:58:52 time: 0.2828 data_time: 0.0246 memory: 8198 grad_norm: 5.2099 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8120 loss: 1.8120 2022/08/02 21:28:34 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 1.0000e-02 eta: 1 day, 6:58:46 time: 0.2857 data_time: 0.0214 memory: 8198 grad_norm: 4.9952 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7469 loss: 1.7469 2022/08/02 21:28:39 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 1.0000e-02 eta: 1 day, 6:58:40 time: 0.2841 data_time: 0.0208 memory: 8198 grad_norm: 5.0209 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7872 loss: 1.7872 2022/08/02 21:28:45 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 1.0000e-02 eta: 1 day, 6:58:35 time: 0.2829 data_time: 0.0212 memory: 8198 grad_norm: 5.1010 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6973 loss: 1.6973 2022/08/02 21:28:51 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 1.0000e-02 eta: 1 day, 6:58:29 time: 0.2850 data_time: 0.0243 memory: 8198 grad_norm: 5.0970 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8147 loss: 1.8147 2022/08/02 21:28:56 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 1.0000e-02 eta: 1 day, 6:58:23 time: 0.2790 data_time: 0.0238 memory: 8198 grad_norm: 5.0736 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/08/02 21:29:02 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 1.0000e-02 eta: 1 day, 6:58:17 time: 0.2854 data_time: 0.0254 memory: 8198 grad_norm: 5.0455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7827 loss: 1.7827 2022/08/02 21:29:08 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 1.0000e-02 eta: 1 day, 6:58:11 time: 0.2859 data_time: 0.0221 memory: 8198 grad_norm: 5.2103 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8584 loss: 1.8584 2022/08/02 21:29:14 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 1.0000e-02 eta: 1 day, 6:58:06 time: 0.2920 data_time: 0.0208 memory: 8198 grad_norm: 5.0562 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7895 loss: 1.7895 2022/08/02 21:29:20 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 1.0000e-02 eta: 1 day, 6:58:02 time: 0.2980 data_time: 0.0236 memory: 8198 grad_norm: 5.0544 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5705 loss: 1.5705 2022/08/02 21:29:25 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 1.0000e-02 eta: 1 day, 6:57:56 time: 0.2802 data_time: 0.0249 memory: 8198 grad_norm: 5.0994 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6276 loss: 1.6276 2022/08/02 21:29:31 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 1.0000e-02 eta: 1 day, 6:57:50 time: 0.2808 data_time: 0.0222 memory: 8198 grad_norm: 4.9494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6562 loss: 1.6562 2022/08/02 21:29:37 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 1.0000e-02 eta: 1 day, 6:57:45 time: 0.2950 data_time: 0.0235 memory: 8198 grad_norm: 5.0385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8906 loss: 1.8906 2022/08/02 21:29:42 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 1.0000e-02 eta: 1 day, 6:57:39 time: 0.2784 data_time: 0.0228 memory: 8198 grad_norm: 5.1408 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7232 loss: 1.7232 2022/08/02 21:29:48 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 1.0000e-02 eta: 1 day, 6:57:33 time: 0.2894 data_time: 0.0203 memory: 8198 grad_norm: 5.2451 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/02 21:29:54 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 1.0000e-02 eta: 1 day, 6:57:28 time: 0.2841 data_time: 0.0246 memory: 8198 grad_norm: 5.2043 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7836 loss: 1.7836 2022/08/02 21:29:59 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 1.0000e-02 eta: 1 day, 6:57:21 time: 0.2796 data_time: 0.0238 memory: 8198 grad_norm: 5.0441 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6616 loss: 1.6616 2022/08/02 21:30:05 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 1.0000e-02 eta: 1 day, 6:57:15 time: 0.2812 data_time: 0.0191 memory: 8198 grad_norm: 4.9302 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7430 loss: 1.7430 2022/08/02 21:30:11 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 1.0000e-02 eta: 1 day, 6:57:10 time: 0.2917 data_time: 0.0278 memory: 8198 grad_norm: 5.2456 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8041 loss: 1.8041 2022/08/02 21:30:17 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 1.0000e-02 eta: 1 day, 6:57:05 time: 0.2841 data_time: 0.0189 memory: 8198 grad_norm: 4.9355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6010 loss: 1.6010 2022/08/02 21:30:22 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 1.0000e-02 eta: 1 day, 6:56:59 time: 0.2845 data_time: 0.0218 memory: 8198 grad_norm: 4.8964 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6857 loss: 1.6857 2022/08/02 21:30:28 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 1.0000e-02 eta: 1 day, 6:56:53 time: 0.2802 data_time: 0.0201 memory: 8198 grad_norm: 4.9693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7328 loss: 1.7328 2022/08/02 21:30:34 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 1.0000e-02 eta: 1 day, 6:56:47 time: 0.2847 data_time: 0.0270 memory: 8198 grad_norm: 4.9862 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9126 loss: 1.9126 2022/08/02 21:30:39 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 1.0000e-02 eta: 1 day, 6:56:41 time: 0.2827 data_time: 0.0212 memory: 8198 grad_norm: 5.1126 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7762 loss: 1.7762 2022/08/02 21:30:45 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 1.0000e-02 eta: 1 day, 6:56:36 time: 0.2861 data_time: 0.0224 memory: 8198 grad_norm: 5.2307 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6768 loss: 1.6768 2022/08/02 21:30:51 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 1.0000e-02 eta: 1 day, 6:56:30 time: 0.2823 data_time: 0.0219 memory: 8198 grad_norm: 5.0949 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5856 loss: 1.5856 2022/08/02 21:30:56 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 1.0000e-02 eta: 1 day, 6:56:24 time: 0.2818 data_time: 0.0241 memory: 8198 grad_norm: 5.0963 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6583 loss: 1.6583 2022/08/02 21:31:02 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 1.0000e-02 eta: 1 day, 6:56:18 time: 0.2834 data_time: 0.0198 memory: 8198 grad_norm: 5.0073 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6389 loss: 1.6389 2022/08/02 21:31:08 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 1.0000e-02 eta: 1 day, 6:56:13 time: 0.2884 data_time: 0.0213 memory: 8198 grad_norm: 5.0700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5644 loss: 1.5644 2022/08/02 21:31:13 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 1.0000e-02 eta: 1 day, 6:56:07 time: 0.2803 data_time: 0.0263 memory: 8198 grad_norm: 4.9817 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8495 loss: 1.8495 2022/08/02 21:31:19 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 1.0000e-02 eta: 1 day, 6:56:01 time: 0.2833 data_time: 0.0216 memory: 8198 grad_norm: 5.0997 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8029 loss: 1.8029 2022/08/02 21:31:25 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 1.0000e-02 eta: 1 day, 6:55:56 time: 0.2959 data_time: 0.0250 memory: 8198 grad_norm: 5.0751 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6987 loss: 1.6987 2022/08/02 21:31:31 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 1.0000e-02 eta: 1 day, 6:55:50 time: 0.2858 data_time: 0.0301 memory: 8198 grad_norm: 5.0303 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7661 loss: 1.7661 2022/08/02 21:31:36 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 1.0000e-02 eta: 1 day, 6:55:45 time: 0.2859 data_time: 0.0259 memory: 8198 grad_norm: 5.0490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8268 loss: 1.8268 2022/08/02 21:31:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:31:42 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 1.0000e-02 eta: 1 day, 6:55:39 time: 0.2845 data_time: 0.0218 memory: 8198 grad_norm: 5.0944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9678 loss: 1.9678 2022/08/02 21:31:48 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 1.0000e-02 eta: 1 day, 6:55:34 time: 0.2950 data_time: 0.0256 memory: 8198 grad_norm: 5.1885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8415 loss: 1.8415 2022/08/02 21:31:54 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 1.0000e-02 eta: 1 day, 6:55:29 time: 0.2846 data_time: 0.0244 memory: 8198 grad_norm: 5.0767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6825 loss: 1.6825 2022/08/02 21:31:59 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 1.0000e-02 eta: 1 day, 6:55:23 time: 0.2815 data_time: 0.0238 memory: 8198 grad_norm: 5.0097 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8216 loss: 1.8216 2022/08/02 21:32:05 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 1.0000e-02 eta: 1 day, 6:55:18 time: 0.3032 data_time: 0.0211 memory: 8198 grad_norm: 5.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9716 loss: 1.9716 2022/08/02 21:32:11 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 1.0000e-02 eta: 1 day, 6:55:12 time: 0.2787 data_time: 0.0202 memory: 8198 grad_norm: 5.0459 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8823 loss: 1.8823 2022/08/02 21:32:17 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 1.0000e-02 eta: 1 day, 6:55:07 time: 0.2893 data_time: 0.0348 memory: 8198 grad_norm: 5.0500 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8006 loss: 1.8006 2022/08/02 21:32:22 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 1.0000e-02 eta: 1 day, 6:55:01 time: 0.2813 data_time: 0.0194 memory: 8198 grad_norm: 4.9651 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5713 loss: 1.5713 2022/08/02 21:32:28 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 1.0000e-02 eta: 1 day, 6:54:56 time: 0.2924 data_time: 0.0217 memory: 8198 grad_norm: 5.0156 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/08/02 21:32:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:32:33 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 1.0000e-02 eta: 1 day, 6:54:56 time: 0.2550 data_time: 0.0138 memory: 8198 grad_norm: 5.0588 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7445 loss: 1.7445 2022/08/02 21:32:33 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/02 21:32:43 - mmengine - INFO - Epoch(train) [49][20/1879] lr: 1.0000e-02 eta: 1 day, 6:54:28 time: 0.3606 data_time: 0.1096 memory: 8198 grad_norm: 4.7825 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3751 loss: 1.3751 2022/08/02 21:32:48 - mmengine - INFO - Epoch(train) [49][40/1879] lr: 1.0000e-02 eta: 1 day, 6:54:22 time: 0.2858 data_time: 0.0197 memory: 8198 grad_norm: 5.1217 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8359 loss: 1.8359 2022/08/02 21:32:54 - mmengine - INFO - Epoch(train) [49][60/1879] lr: 1.0000e-02 eta: 1 day, 6:54:17 time: 0.2900 data_time: 0.0200 memory: 8198 grad_norm: 5.0125 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7563 loss: 1.7563 2022/08/02 21:33:00 - mmengine - INFO - Epoch(train) [49][80/1879] lr: 1.0000e-02 eta: 1 day, 6:54:11 time: 0.2840 data_time: 0.0177 memory: 8198 grad_norm: 5.0289 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8902 loss: 1.8902 2022/08/02 21:33:06 - mmengine - INFO - Epoch(train) [49][100/1879] lr: 1.0000e-02 eta: 1 day, 6:54:07 time: 0.2947 data_time: 0.0230 memory: 8198 grad_norm: 5.0717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6905 loss: 1.6905 2022/08/02 21:33:11 - mmengine - INFO - Epoch(train) [49][120/1879] lr: 1.0000e-02 eta: 1 day, 6:54:01 time: 0.2863 data_time: 0.0154 memory: 8198 grad_norm: 4.9159 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7504 loss: 1.7504 2022/08/02 21:33:17 - mmengine - INFO - Epoch(train) [49][140/1879] lr: 1.0000e-02 eta: 1 day, 6:53:56 time: 0.2876 data_time: 0.0215 memory: 8198 grad_norm: 5.1589 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8054 loss: 1.8054 2022/08/02 21:33:23 - mmengine - INFO - Epoch(train) [49][160/1879] lr: 1.0000e-02 eta: 1 day, 6:53:50 time: 0.2809 data_time: 0.0212 memory: 8198 grad_norm: 5.1520 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7990 loss: 1.7990 2022/08/02 21:33:29 - mmengine - INFO - Epoch(train) [49][180/1879] lr: 1.0000e-02 eta: 1 day, 6:53:44 time: 0.2842 data_time: 0.0251 memory: 8198 grad_norm: 4.9151 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7750 loss: 1.7750 2022/08/02 21:33:35 - mmengine - INFO - Epoch(train) [49][200/1879] lr: 1.0000e-02 eta: 1 day, 6:53:39 time: 0.2972 data_time: 0.0235 memory: 8198 grad_norm: 5.0871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7470 loss: 1.7470 2022/08/02 21:33:40 - mmengine - INFO - Epoch(train) [49][220/1879] lr: 1.0000e-02 eta: 1 day, 6:53:33 time: 0.2843 data_time: 0.0240 memory: 8198 grad_norm: 5.0651 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5094 loss: 1.5094 2022/08/02 21:33:46 - mmengine - INFO - Epoch(train) [49][240/1879] lr: 1.0000e-02 eta: 1 day, 6:53:29 time: 0.2995 data_time: 0.0232 memory: 8198 grad_norm: 5.1681 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9279 loss: 1.9279 2022/08/02 21:33:52 - mmengine - INFO - Epoch(train) [49][260/1879] lr: 1.0000e-02 eta: 1 day, 6:53:23 time: 0.2859 data_time: 0.0278 memory: 8198 grad_norm: 4.8556 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6477 loss: 1.6477 2022/08/02 21:33:58 - mmengine - INFO - Epoch(train) [49][280/1879] lr: 1.0000e-02 eta: 1 day, 6:53:18 time: 0.2927 data_time: 0.0233 memory: 8198 grad_norm: 5.1656 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6788 loss: 1.6788 2022/08/02 21:34:04 - mmengine - INFO - Epoch(train) [49][300/1879] lr: 1.0000e-02 eta: 1 day, 6:53:13 time: 0.2915 data_time: 0.0216 memory: 8198 grad_norm: 5.0673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6883 loss: 1.6883 2022/08/02 21:34:09 - mmengine - INFO - Epoch(train) [49][320/1879] lr: 1.0000e-02 eta: 1 day, 6:53:07 time: 0.2832 data_time: 0.0248 memory: 8198 grad_norm: 5.1312 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7070 loss: 1.7070 2022/08/02 21:34:15 - mmengine - INFO - Epoch(train) [49][340/1879] lr: 1.0000e-02 eta: 1 day, 6:53:02 time: 0.2904 data_time: 0.0224 memory: 8198 grad_norm: 5.1229 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7429 loss: 1.7429 2022/08/02 21:34:21 - mmengine - INFO - Epoch(train) [49][360/1879] lr: 1.0000e-02 eta: 1 day, 6:52:56 time: 0.2829 data_time: 0.0236 memory: 8198 grad_norm: 4.9964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5857 loss: 1.5857 2022/08/02 21:34:27 - mmengine - INFO - Epoch(train) [49][380/1879] lr: 1.0000e-02 eta: 1 day, 6:52:51 time: 0.2841 data_time: 0.0230 memory: 8198 grad_norm: 4.9391 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6031 loss: 1.6031 2022/08/02 21:34:32 - mmengine - INFO - Epoch(train) [49][400/1879] lr: 1.0000e-02 eta: 1 day, 6:52:45 time: 0.2798 data_time: 0.0214 memory: 8198 grad_norm: 5.2054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6724 loss: 1.6724 2022/08/02 21:34:38 - mmengine - INFO - Epoch(train) [49][420/1879] lr: 1.0000e-02 eta: 1 day, 6:52:39 time: 0.2909 data_time: 0.0266 memory: 8198 grad_norm: 5.0560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7165 loss: 1.7165 2022/08/02 21:34:44 - mmengine - INFO - Epoch(train) [49][440/1879] lr: 1.0000e-02 eta: 1 day, 6:52:34 time: 0.2867 data_time: 0.0231 memory: 8198 grad_norm: 5.0721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7866 loss: 1.7866 2022/08/02 21:34:50 - mmengine - INFO - Epoch(train) [49][460/1879] lr: 1.0000e-02 eta: 1 day, 6:52:30 time: 0.3036 data_time: 0.0287 memory: 8198 grad_norm: 5.0768 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7536 loss: 1.7536 2022/08/02 21:34:56 - mmengine - INFO - Epoch(train) [49][480/1879] lr: 1.0000e-02 eta: 1 day, 6:52:26 time: 0.3037 data_time: 0.0220 memory: 8198 grad_norm: 5.0731 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8676 loss: 1.8676 2022/08/02 21:35:01 - mmengine - INFO - Epoch(train) [49][500/1879] lr: 1.0000e-02 eta: 1 day, 6:52:20 time: 0.2796 data_time: 0.0210 memory: 8198 grad_norm: 5.2987 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8054 loss: 1.8054 2022/08/02 21:35:07 - mmengine - INFO - Epoch(train) [49][520/1879] lr: 1.0000e-02 eta: 1 day, 6:52:13 time: 0.2794 data_time: 0.0229 memory: 8198 grad_norm: 5.1773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7815 loss: 1.7815 2022/08/02 21:35:13 - mmengine - INFO - Epoch(train) [49][540/1879] lr: 1.0000e-02 eta: 1 day, 6:52:07 time: 0.2812 data_time: 0.0228 memory: 8198 grad_norm: 5.0715 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7928 loss: 1.7928 2022/08/02 21:35:19 - mmengine - INFO - Epoch(train) [49][560/1879] lr: 1.0000e-02 eta: 1 day, 6:52:03 time: 0.3045 data_time: 0.0209 memory: 8198 grad_norm: 4.9623 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7592 loss: 1.7592 2022/08/02 21:35:25 - mmengine - INFO - Epoch(train) [49][580/1879] lr: 1.0000e-02 eta: 1 day, 6:51:57 time: 0.2810 data_time: 0.0250 memory: 8198 grad_norm: 4.9943 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5210 loss: 1.5210 2022/08/02 21:35:30 - mmengine - INFO - Epoch(train) [49][600/1879] lr: 1.0000e-02 eta: 1 day, 6:51:52 time: 0.2863 data_time: 0.0266 memory: 8198 grad_norm: 4.8487 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6975 loss: 1.6975 2022/08/02 21:35:37 - mmengine - INFO - Epoch(train) [49][620/1879] lr: 1.0000e-02 eta: 1 day, 6:51:50 time: 0.3346 data_time: 0.0244 memory: 8198 grad_norm: 5.0703 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/08/02 21:35:42 - mmengine - INFO - Epoch(train) [49][640/1879] lr: 1.0000e-02 eta: 1 day, 6:51:44 time: 0.2781 data_time: 0.0179 memory: 8198 grad_norm: 5.0229 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7074 loss: 1.7074 2022/08/02 21:35:48 - mmengine - INFO - Epoch(train) [49][660/1879] lr: 1.0000e-02 eta: 1 day, 6:51:38 time: 0.2821 data_time: 0.0251 memory: 8198 grad_norm: 5.1505 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6562 loss: 1.6562 2022/08/02 21:35:54 - mmengine - INFO - Epoch(train) [49][680/1879] lr: 1.0000e-02 eta: 1 day, 6:51:33 time: 0.2842 data_time: 0.0215 memory: 8198 grad_norm: 5.2597 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8592 loss: 1.8592 2022/08/02 21:36:00 - mmengine - INFO - Epoch(train) [49][700/1879] lr: 1.0000e-02 eta: 1 day, 6:51:27 time: 0.2867 data_time: 0.0301 memory: 8198 grad_norm: 5.1252 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7650 loss: 1.7650 2022/08/02 21:36:05 - mmengine - INFO - Epoch(train) [49][720/1879] lr: 1.0000e-02 eta: 1 day, 6:51:21 time: 0.2856 data_time: 0.0226 memory: 8198 grad_norm: 5.0803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7289 loss: 1.7289 2022/08/02 21:36:11 - mmengine - INFO - Epoch(train) [49][740/1879] lr: 1.0000e-02 eta: 1 day, 6:51:16 time: 0.2830 data_time: 0.0252 memory: 8198 grad_norm: 5.0632 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/02 21:36:17 - mmengine - INFO - Epoch(train) [49][760/1879] lr: 1.0000e-02 eta: 1 day, 6:51:10 time: 0.2877 data_time: 0.0215 memory: 8198 grad_norm: 4.9532 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5624 loss: 1.5624 2022/08/02 21:36:22 - mmengine - INFO - Epoch(train) [49][780/1879] lr: 1.0000e-02 eta: 1 day, 6:51:05 time: 0.2893 data_time: 0.0251 memory: 8198 grad_norm: 4.9533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6128 loss: 1.6128 2022/08/02 21:36:28 - mmengine - INFO - Epoch(train) [49][800/1879] lr: 1.0000e-02 eta: 1 day, 6:50:59 time: 0.2817 data_time: 0.0213 memory: 8198 grad_norm: 5.0709 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.8526 loss: 1.8526 2022/08/02 21:36:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:36:34 - mmengine - INFO - Epoch(train) [49][820/1879] lr: 1.0000e-02 eta: 1 day, 6:50:53 time: 0.2828 data_time: 0.0221 memory: 8198 grad_norm: 5.0583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5391 loss: 1.5391 2022/08/02 21:36:40 - mmengine - INFO - Epoch(train) [49][840/1879] lr: 1.0000e-02 eta: 1 day, 6:50:49 time: 0.3031 data_time: 0.0381 memory: 8198 grad_norm: 4.9929 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6472 loss: 1.6472 2022/08/02 21:36:45 - mmengine - INFO - Epoch(train) [49][860/1879] lr: 1.0000e-02 eta: 1 day, 6:50:43 time: 0.2777 data_time: 0.0207 memory: 8198 grad_norm: 5.1488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6490 loss: 1.6490 2022/08/02 21:36:51 - mmengine - INFO - Epoch(train) [49][880/1879] lr: 1.0000e-02 eta: 1 day, 6:50:37 time: 0.2803 data_time: 0.0246 memory: 8198 grad_norm: 5.0835 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8985 loss: 1.8985 2022/08/02 21:36:57 - mmengine - INFO - Epoch(train) [49][900/1879] lr: 1.0000e-02 eta: 1 day, 6:50:31 time: 0.2889 data_time: 0.0236 memory: 8198 grad_norm: 4.9506 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5963 loss: 1.5963 2022/08/02 21:37:02 - mmengine - INFO - Epoch(train) [49][920/1879] lr: 1.0000e-02 eta: 1 day, 6:50:25 time: 0.2819 data_time: 0.0217 memory: 8198 grad_norm: 5.0156 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5731 loss: 1.5731 2022/08/02 21:37:08 - mmengine - INFO - Epoch(train) [49][940/1879] lr: 1.0000e-02 eta: 1 day, 6:50:19 time: 0.2800 data_time: 0.0217 memory: 8198 grad_norm: 4.9769 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9001 loss: 1.9001 2022/08/02 21:37:14 - mmengine - INFO - Epoch(train) [49][960/1879] lr: 1.0000e-02 eta: 1 day, 6:50:13 time: 0.2847 data_time: 0.0220 memory: 8198 grad_norm: 5.1721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5992 loss: 1.5992 2022/08/02 21:37:20 - mmengine - INFO - Epoch(train) [49][980/1879] lr: 1.0000e-02 eta: 1 day, 6:50:08 time: 0.2877 data_time: 0.0192 memory: 8198 grad_norm: 5.1106 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5675 loss: 1.5675 2022/08/02 21:37:25 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 1.0000e-02 eta: 1 day, 6:50:02 time: 0.2793 data_time: 0.0231 memory: 8198 grad_norm: 5.0778 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8669 loss: 1.8669 2022/08/02 21:37:31 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 1.0000e-02 eta: 1 day, 6:49:56 time: 0.2859 data_time: 0.0266 memory: 8198 grad_norm: 5.2554 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7526 loss: 1.7526 2022/08/02 21:37:37 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 1.0000e-02 eta: 1 day, 6:49:51 time: 0.2949 data_time: 0.0183 memory: 8198 grad_norm: 4.9406 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6827 loss: 1.6827 2022/08/02 21:37:42 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 1.0000e-02 eta: 1 day, 6:49:46 time: 0.2836 data_time: 0.0246 memory: 8198 grad_norm: 5.0511 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7892 loss: 1.7892 2022/08/02 21:37:48 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 1.0000e-02 eta: 1 day, 6:49:40 time: 0.2874 data_time: 0.0189 memory: 8198 grad_norm: 4.8960 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5323 loss: 1.5323 2022/08/02 21:37:54 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 1.0000e-02 eta: 1 day, 6:49:34 time: 0.2839 data_time: 0.0226 memory: 8198 grad_norm: 5.0964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7950 loss: 1.7950 2022/08/02 21:38:00 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 1.0000e-02 eta: 1 day, 6:49:29 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 5.0484 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8931 loss: 1.8931 2022/08/02 21:38:05 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 1.0000e-02 eta: 1 day, 6:49:23 time: 0.2861 data_time: 0.0264 memory: 8198 grad_norm: 4.9467 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7577 loss: 1.7577 2022/08/02 21:38:11 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 1.0000e-02 eta: 1 day, 6:49:17 time: 0.2821 data_time: 0.0211 memory: 8198 grad_norm: 5.2969 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7463 loss: 1.7463 2022/08/02 21:38:17 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 1.0000e-02 eta: 1 day, 6:49:13 time: 0.2962 data_time: 0.0240 memory: 8198 grad_norm: 5.1877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6279 loss: 1.6279 2022/08/02 21:38:22 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 1.0000e-02 eta: 1 day, 6:49:06 time: 0.2765 data_time: 0.0182 memory: 8198 grad_norm: 5.0476 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9068 loss: 1.9068 2022/08/02 21:38:28 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 1.0000e-02 eta: 1 day, 6:49:01 time: 0.2910 data_time: 0.0247 memory: 8198 grad_norm: 5.1064 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6627 loss: 1.6627 2022/08/02 21:38:34 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 1.0000e-02 eta: 1 day, 6:48:55 time: 0.2843 data_time: 0.0187 memory: 8198 grad_norm: 5.2262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8074 loss: 1.8074 2022/08/02 21:38:40 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 1.0000e-02 eta: 1 day, 6:48:50 time: 0.2895 data_time: 0.0291 memory: 8198 grad_norm: 5.0020 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7573 loss: 1.7573 2022/08/02 21:38:46 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 1.0000e-02 eta: 1 day, 6:48:44 time: 0.2860 data_time: 0.0206 memory: 8198 grad_norm: 5.0770 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8425 loss: 1.8425 2022/08/02 21:38:51 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 1.0000e-02 eta: 1 day, 6:48:39 time: 0.2843 data_time: 0.0254 memory: 8198 grad_norm: 5.2049 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7822 loss: 1.7822 2022/08/02 21:38:57 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 1.0000e-02 eta: 1 day, 6:48:33 time: 0.2875 data_time: 0.0216 memory: 8198 grad_norm: 4.9295 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6881 loss: 1.6881 2022/08/02 21:39:03 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 1.0000e-02 eta: 1 day, 6:48:27 time: 0.2825 data_time: 0.0277 memory: 8198 grad_norm: 5.0861 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7813 loss: 1.7813 2022/08/02 21:39:08 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 1.0000e-02 eta: 1 day, 6:48:21 time: 0.2821 data_time: 0.0196 memory: 8198 grad_norm: 5.0045 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7208 loss: 1.7208 2022/08/02 21:39:14 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 1.0000e-02 eta: 1 day, 6:48:16 time: 0.2836 data_time: 0.0250 memory: 8198 grad_norm: 5.1210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9181 loss: 1.9181 2022/08/02 21:39:20 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 1.0000e-02 eta: 1 day, 6:48:10 time: 0.2871 data_time: 0.0202 memory: 8198 grad_norm: 5.0868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7101 loss: 1.7101 2022/08/02 21:39:25 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 1.0000e-02 eta: 1 day, 6:48:05 time: 0.2858 data_time: 0.0235 memory: 8198 grad_norm: 5.0444 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6911 loss: 1.6911 2022/08/02 21:39:31 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 1.0000e-02 eta: 1 day, 6:47:59 time: 0.2837 data_time: 0.0236 memory: 8198 grad_norm: 5.1392 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8335 loss: 1.8335 2022/08/02 21:39:37 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 1.0000e-02 eta: 1 day, 6:47:54 time: 0.2994 data_time: 0.0206 memory: 8198 grad_norm: 4.9884 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8737 loss: 1.8737 2022/08/02 21:39:43 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 1.0000e-02 eta: 1 day, 6:47:48 time: 0.2794 data_time: 0.0215 memory: 8198 grad_norm: 5.0398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9383 loss: 1.9383 2022/08/02 21:39:48 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 1.0000e-02 eta: 1 day, 6:47:43 time: 0.2852 data_time: 0.0265 memory: 8198 grad_norm: 5.1495 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8412 loss: 1.8412 2022/08/02 21:39:54 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 1.0000e-02 eta: 1 day, 6:47:37 time: 0.2825 data_time: 0.0201 memory: 8198 grad_norm: 5.0882 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8494 loss: 1.8494 2022/08/02 21:40:00 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 1.0000e-02 eta: 1 day, 6:47:32 time: 0.3017 data_time: 0.0273 memory: 8198 grad_norm: 4.9137 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7174 loss: 1.7174 2022/08/02 21:40:06 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 1.0000e-02 eta: 1 day, 6:47:27 time: 0.2848 data_time: 0.0215 memory: 8198 grad_norm: 5.0679 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7360 loss: 1.7360 2022/08/02 21:40:12 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 1.0000e-02 eta: 1 day, 6:47:22 time: 0.2972 data_time: 0.0235 memory: 8198 grad_norm: 5.2263 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8831 loss: 1.8831 2022/08/02 21:40:17 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 1.0000e-02 eta: 1 day, 6:47:16 time: 0.2789 data_time: 0.0218 memory: 8198 grad_norm: 4.9973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7266 loss: 1.7266 2022/08/02 21:40:23 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 1.0000e-02 eta: 1 day, 6:47:10 time: 0.2873 data_time: 0.0228 memory: 8198 grad_norm: 4.9480 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7111 loss: 1.7111 2022/08/02 21:40:29 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 1.0000e-02 eta: 1 day, 6:47:05 time: 0.2863 data_time: 0.0164 memory: 8198 grad_norm: 5.0064 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7706 loss: 1.7706 2022/08/02 21:40:35 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 1.0000e-02 eta: 1 day, 6:46:59 time: 0.2834 data_time: 0.0220 memory: 8198 grad_norm: 5.0798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7185 loss: 1.7185 2022/08/02 21:40:40 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 1.0000e-02 eta: 1 day, 6:46:53 time: 0.2797 data_time: 0.0211 memory: 8198 grad_norm: 5.0648 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9464 loss: 1.9464 2022/08/02 21:40:46 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 1.0000e-02 eta: 1 day, 6:46:47 time: 0.2823 data_time: 0.0268 memory: 8198 grad_norm: 5.2007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9237 loss: 1.9237 2022/08/02 21:40:51 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 1.0000e-02 eta: 1 day, 6:46:41 time: 0.2793 data_time: 0.0203 memory: 8198 grad_norm: 5.0331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6356 loss: 1.6356 2022/08/02 21:40:57 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 1.0000e-02 eta: 1 day, 6:46:35 time: 0.2872 data_time: 0.0279 memory: 8198 grad_norm: 5.0843 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7225 loss: 1.7225 2022/08/02 21:41:03 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 1.0000e-02 eta: 1 day, 6:46:29 time: 0.2821 data_time: 0.0211 memory: 8198 grad_norm: 5.0153 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6389 loss: 1.6389 2022/08/02 21:41:09 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 1.0000e-02 eta: 1 day, 6:46:24 time: 0.2849 data_time: 0.0264 memory: 8198 grad_norm: 5.0769 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 1.9486 loss: 1.9486 2022/08/02 21:41:14 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 1.0000e-02 eta: 1 day, 6:46:18 time: 0.2856 data_time: 0.0201 memory: 8198 grad_norm: 5.0888 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8468 loss: 1.8468 2022/08/02 21:41:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:41:20 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 1.0000e-02 eta: 1 day, 6:46:12 time: 0.2822 data_time: 0.0209 memory: 8198 grad_norm: 5.0717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7018 loss: 1.7018 2022/08/02 21:41:26 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 1.0000e-02 eta: 1 day, 6:46:08 time: 0.3018 data_time: 0.0245 memory: 8198 grad_norm: 4.9594 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7740 loss: 1.7740 2022/08/02 21:41:32 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 1.0000e-02 eta: 1 day, 6:46:02 time: 0.2800 data_time: 0.0234 memory: 8198 grad_norm: 5.0078 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6804 loss: 1.6804 2022/08/02 21:41:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:41:36 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 1.0000e-02 eta: 1 day, 6:46:02 time: 0.2547 data_time: 0.0141 memory: 8198 grad_norm: 5.2500 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.9094 loss: 1.9094 2022/08/02 21:41:45 - mmengine - INFO - Epoch(train) [50][20/1879] lr: 1.0000e-02 eta: 1 day, 6:45:38 time: 0.4023 data_time: 0.1132 memory: 8198 grad_norm: 4.9616 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6911 loss: 1.6911 2022/08/02 21:41:50 - mmengine - INFO - Epoch(train) [50][40/1879] lr: 1.0000e-02 eta: 1 day, 6:45:32 time: 0.2875 data_time: 0.0185 memory: 8198 grad_norm: 5.0266 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6333 loss: 1.6333 2022/08/02 21:41:56 - mmengine - INFO - Epoch(train) [50][60/1879] lr: 1.0000e-02 eta: 1 day, 6:45:28 time: 0.2959 data_time: 0.0275 memory: 8198 grad_norm: 4.9838 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6317 loss: 1.6317 2022/08/02 21:42:02 - mmengine - INFO - Epoch(train) [50][80/1879] lr: 1.0000e-02 eta: 1 day, 6:45:22 time: 0.2840 data_time: 0.0229 memory: 8198 grad_norm: 5.0776 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8321 loss: 1.8321 2022/08/02 21:42:08 - mmengine - INFO - Epoch(train) [50][100/1879] lr: 1.0000e-02 eta: 1 day, 6:45:17 time: 0.2911 data_time: 0.0257 memory: 8198 grad_norm: 5.0749 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8693 loss: 1.8693 2022/08/02 21:42:13 - mmengine - INFO - Epoch(train) [50][120/1879] lr: 1.0000e-02 eta: 1 day, 6:45:11 time: 0.2788 data_time: 0.0212 memory: 8198 grad_norm: 5.1187 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6113 loss: 1.6113 2022/08/02 21:42:19 - mmengine - INFO - Epoch(train) [50][140/1879] lr: 1.0000e-02 eta: 1 day, 6:45:05 time: 0.2894 data_time: 0.0254 memory: 8198 grad_norm: 5.2602 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6388 loss: 1.6388 2022/08/02 21:42:25 - mmengine - INFO - Epoch(train) [50][160/1879] lr: 1.0000e-02 eta: 1 day, 6:45:00 time: 0.2862 data_time: 0.0244 memory: 8198 grad_norm: 4.9095 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8034 loss: 1.8034 2022/08/02 21:42:30 - mmengine - INFO - Epoch(train) [50][180/1879] lr: 1.0000e-02 eta: 1 day, 6:44:54 time: 0.2825 data_time: 0.0276 memory: 8198 grad_norm: 5.0027 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/08/02 21:42:36 - mmengine - INFO - Epoch(train) [50][200/1879] lr: 1.0000e-02 eta: 1 day, 6:44:48 time: 0.2825 data_time: 0.0259 memory: 8198 grad_norm: 4.9403 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4936 loss: 1.4936 2022/08/02 21:42:42 - mmengine - INFO - Epoch(train) [50][220/1879] lr: 1.0000e-02 eta: 1 day, 6:44:42 time: 0.2846 data_time: 0.0281 memory: 8198 grad_norm: 4.9392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7630 loss: 1.7630 2022/08/02 21:42:48 - mmengine - INFO - Epoch(train) [50][240/1879] lr: 1.0000e-02 eta: 1 day, 6:44:37 time: 0.2878 data_time: 0.0241 memory: 8198 grad_norm: 5.1866 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7798 loss: 1.7798 2022/08/02 21:42:53 - mmengine - INFO - Epoch(train) [50][260/1879] lr: 1.0000e-02 eta: 1 day, 6:44:31 time: 0.2838 data_time: 0.0299 memory: 8198 grad_norm: 4.9499 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6195 loss: 1.6195 2022/08/02 21:42:59 - mmengine - INFO - Epoch(train) [50][280/1879] lr: 1.0000e-02 eta: 1 day, 6:44:25 time: 0.2797 data_time: 0.0217 memory: 8198 grad_norm: 5.0710 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5697 loss: 1.5697 2022/08/02 21:43:05 - mmengine - INFO - Epoch(train) [50][300/1879] lr: 1.0000e-02 eta: 1 day, 6:44:20 time: 0.2894 data_time: 0.0255 memory: 8198 grad_norm: 5.2556 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6360 loss: 1.6360 2022/08/02 21:43:10 - mmengine - INFO - Epoch(train) [50][320/1879] lr: 1.0000e-02 eta: 1 day, 6:44:14 time: 0.2837 data_time: 0.0209 memory: 8198 grad_norm: 5.1428 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7624 loss: 1.7624 2022/08/02 21:43:16 - mmengine - INFO - Epoch(train) [50][340/1879] lr: 1.0000e-02 eta: 1 day, 6:44:08 time: 0.2819 data_time: 0.0237 memory: 8198 grad_norm: 5.0997 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9106 loss: 1.9106 2022/08/02 21:43:22 - mmengine - INFO - Epoch(train) [50][360/1879] lr: 1.0000e-02 eta: 1 day, 6:44:02 time: 0.2819 data_time: 0.0239 memory: 8198 grad_norm: 5.2484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7785 loss: 1.7785 2022/08/02 21:43:27 - mmengine - INFO - Epoch(train) [50][380/1879] lr: 1.0000e-02 eta: 1 day, 6:43:56 time: 0.2866 data_time: 0.0225 memory: 8198 grad_norm: 5.0976 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5938 loss: 1.5938 2022/08/02 21:43:33 - mmengine - INFO - Epoch(train) [50][400/1879] lr: 1.0000e-02 eta: 1 day, 6:43:51 time: 0.2836 data_time: 0.0221 memory: 8198 grad_norm: 4.9929 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7308 loss: 1.7308 2022/08/02 21:43:39 - mmengine - INFO - Epoch(train) [50][420/1879] lr: 1.0000e-02 eta: 1 day, 6:43:45 time: 0.2852 data_time: 0.0248 memory: 8198 grad_norm: 5.0439 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7622 loss: 1.7622 2022/08/02 21:43:44 - mmengine - INFO - Epoch(train) [50][440/1879] lr: 1.0000e-02 eta: 1 day, 6:43:39 time: 0.2822 data_time: 0.0276 memory: 8198 grad_norm: 5.1072 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6866 loss: 1.6866 2022/08/02 21:43:50 - mmengine - INFO - Epoch(train) [50][460/1879] lr: 1.0000e-02 eta: 1 day, 6:43:33 time: 0.2857 data_time: 0.0279 memory: 8198 grad_norm: 4.9359 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5490 loss: 1.5490 2022/08/02 21:43:56 - mmengine - INFO - Epoch(train) [50][480/1879] lr: 1.0000e-02 eta: 1 day, 6:43:28 time: 0.2823 data_time: 0.0211 memory: 8198 grad_norm: 5.0854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6144 loss: 1.6144 2022/08/02 21:44:02 - mmengine - INFO - Epoch(train) [50][500/1879] lr: 1.0000e-02 eta: 1 day, 6:43:22 time: 0.2830 data_time: 0.0224 memory: 8198 grad_norm: 5.0561 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8400 loss: 1.8400 2022/08/02 21:44:07 - mmengine - INFO - Epoch(train) [50][520/1879] lr: 1.0000e-02 eta: 1 day, 6:43:16 time: 0.2897 data_time: 0.0220 memory: 8198 grad_norm: 5.0861 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8042 loss: 1.8042 2022/08/02 21:44:13 - mmengine - INFO - Epoch(train) [50][540/1879] lr: 1.0000e-02 eta: 1 day, 6:43:11 time: 0.2872 data_time: 0.0232 memory: 8198 grad_norm: 4.9438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6544 loss: 1.6544 2022/08/02 21:44:19 - mmengine - INFO - Epoch(train) [50][560/1879] lr: 1.0000e-02 eta: 1 day, 6:43:05 time: 0.2863 data_time: 0.0211 memory: 8198 grad_norm: 5.1306 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7362 loss: 1.7362 2022/08/02 21:44:24 - mmengine - INFO - Epoch(train) [50][580/1879] lr: 1.0000e-02 eta: 1 day, 6:42:59 time: 0.2801 data_time: 0.0246 memory: 8198 grad_norm: 5.1557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/02 21:44:30 - mmengine - INFO - Epoch(train) [50][600/1879] lr: 1.0000e-02 eta: 1 day, 6:42:54 time: 0.2887 data_time: 0.0244 memory: 8198 grad_norm: 5.0067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7519 loss: 1.7519 2022/08/02 21:44:36 - mmengine - INFO - Epoch(train) [50][620/1879] lr: 1.0000e-02 eta: 1 day, 6:42:48 time: 0.2836 data_time: 0.0263 memory: 8198 grad_norm: 4.9094 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7850 loss: 1.7850 2022/08/02 21:44:42 - mmengine - INFO - Epoch(train) [50][640/1879] lr: 1.0000e-02 eta: 1 day, 6:42:42 time: 0.2840 data_time: 0.0233 memory: 8198 grad_norm: 5.0472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5463 loss: 1.5463 2022/08/02 21:44:48 - mmengine - INFO - Epoch(train) [50][660/1879] lr: 1.0000e-02 eta: 1 day, 6:42:39 time: 0.3090 data_time: 0.0265 memory: 8198 grad_norm: 4.9240 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9994 loss: 1.9994 2022/08/02 21:44:53 - mmengine - INFO - Epoch(train) [50][680/1879] lr: 1.0000e-02 eta: 1 day, 6:42:33 time: 0.2823 data_time: 0.0221 memory: 8198 grad_norm: 4.7323 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6140 loss: 1.6140 2022/08/02 21:44:59 - mmengine - INFO - Epoch(train) [50][700/1879] lr: 1.0000e-02 eta: 1 day, 6:42:27 time: 0.2894 data_time: 0.0219 memory: 8198 grad_norm: 5.1442 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6967 loss: 1.6967 2022/08/02 21:45:05 - mmengine - INFO - Epoch(train) [50][720/1879] lr: 1.0000e-02 eta: 1 day, 6:42:22 time: 0.2818 data_time: 0.0208 memory: 8198 grad_norm: 5.1459 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.7551 loss: 1.7551 2022/08/02 21:45:11 - mmengine - INFO - Epoch(train) [50][740/1879] lr: 1.0000e-02 eta: 1 day, 6:42:16 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 5.2086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9220 loss: 1.9220 2022/08/02 21:45:16 - mmengine - INFO - Epoch(train) [50][760/1879] lr: 1.0000e-02 eta: 1 day, 6:42:10 time: 0.2831 data_time: 0.0228 memory: 8198 grad_norm: 5.0869 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6371 loss: 1.6371 2022/08/02 21:45:22 - mmengine - INFO - Epoch(train) [50][780/1879] lr: 1.0000e-02 eta: 1 day, 6:42:04 time: 0.2817 data_time: 0.0207 memory: 8198 grad_norm: 5.0828 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6647 loss: 1.6647 2022/08/02 21:45:28 - mmengine - INFO - Epoch(train) [50][800/1879] lr: 1.0000e-02 eta: 1 day, 6:41:58 time: 0.2868 data_time: 0.0258 memory: 8198 grad_norm: 5.1495 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7590 loss: 1.7590 2022/08/02 21:45:33 - mmengine - INFO - Epoch(train) [50][820/1879] lr: 1.0000e-02 eta: 1 day, 6:41:52 time: 0.2831 data_time: 0.0181 memory: 8198 grad_norm: 5.1524 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6651 loss: 1.6651 2022/08/02 21:45:39 - mmengine - INFO - Epoch(train) [50][840/1879] lr: 1.0000e-02 eta: 1 day, 6:41:47 time: 0.2835 data_time: 0.0193 memory: 8198 grad_norm: 5.2040 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9348 loss: 1.9348 2022/08/02 21:45:45 - mmengine - INFO - Epoch(train) [50][860/1879] lr: 1.0000e-02 eta: 1 day, 6:41:41 time: 0.2845 data_time: 0.0272 memory: 8198 grad_norm: 5.0806 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7937 loss: 1.7937 2022/08/02 21:45:50 - mmengine - INFO - Epoch(train) [50][880/1879] lr: 1.0000e-02 eta: 1 day, 6:41:35 time: 0.2867 data_time: 0.0210 memory: 8198 grad_norm: 5.1746 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8068 loss: 1.8068 2022/08/02 21:45:56 - mmengine - INFO - Epoch(train) [50][900/1879] lr: 1.0000e-02 eta: 1 day, 6:41:30 time: 0.2854 data_time: 0.0203 memory: 8198 grad_norm: 5.1303 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7594 loss: 1.7594 2022/08/02 21:46:02 - mmengine - INFO - Epoch(train) [50][920/1879] lr: 1.0000e-02 eta: 1 day, 6:41:24 time: 0.2818 data_time: 0.0241 memory: 8198 grad_norm: 4.9738 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9088 loss: 1.9088 2022/08/02 21:46:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:46:08 - mmengine - INFO - Epoch(train) [50][940/1879] lr: 1.0000e-02 eta: 1 day, 6:41:19 time: 0.2893 data_time: 0.0251 memory: 8198 grad_norm: 4.9915 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6541 loss: 1.6541 2022/08/02 21:46:13 - mmengine - INFO - Epoch(train) [50][960/1879] lr: 1.0000e-02 eta: 1 day, 6:41:13 time: 0.2811 data_time: 0.0207 memory: 8198 grad_norm: 4.9879 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7516 loss: 1.7516 2022/08/02 21:46:19 - mmengine - INFO - Epoch(train) [50][980/1879] lr: 1.0000e-02 eta: 1 day, 6:41:07 time: 0.2847 data_time: 0.0220 memory: 8198 grad_norm: 5.0636 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7095 loss: 1.7095 2022/08/02 21:46:25 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 1.0000e-02 eta: 1 day, 6:41:01 time: 0.2820 data_time: 0.0221 memory: 8198 grad_norm: 5.1730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5696 loss: 1.5696 2022/08/02 21:46:30 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 1.0000e-02 eta: 1 day, 6:40:56 time: 0.2895 data_time: 0.0240 memory: 8198 grad_norm: 5.0929 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7875 loss: 1.7875 2022/08/02 21:46:36 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 1.0000e-02 eta: 1 day, 6:40:50 time: 0.2817 data_time: 0.0231 memory: 8198 grad_norm: 5.1474 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9280 loss: 1.9280 2022/08/02 21:46:42 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 1.0000e-02 eta: 1 day, 6:40:44 time: 0.2821 data_time: 0.0238 memory: 8198 grad_norm: 5.1164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6337 loss: 1.6337 2022/08/02 21:46:47 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 1.0000e-02 eta: 1 day, 6:40:38 time: 0.2810 data_time: 0.0207 memory: 8198 grad_norm: 5.0767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8347 loss: 1.8347 2022/08/02 21:46:53 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 1.0000e-02 eta: 1 day, 6:40:32 time: 0.2814 data_time: 0.0251 memory: 8198 grad_norm: 4.9222 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6135 loss: 1.6135 2022/08/02 21:46:59 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 1.0000e-02 eta: 1 day, 6:40:28 time: 0.3042 data_time: 0.0383 memory: 8198 grad_norm: 4.9876 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7500 loss: 1.7500 2022/08/02 21:47:05 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 1.0000e-02 eta: 1 day, 6:40:22 time: 0.2819 data_time: 0.0169 memory: 8198 grad_norm: 5.0993 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0209 loss: 2.0209 2022/08/02 21:47:10 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 1.0000e-02 eta: 1 day, 6:40:17 time: 0.2923 data_time: 0.0231 memory: 8198 grad_norm: 4.9368 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6267 loss: 1.6267 2022/08/02 21:47:16 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 1.0000e-02 eta: 1 day, 6:40:11 time: 0.2861 data_time: 0.0256 memory: 8198 grad_norm: 5.0725 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7329 loss: 1.7329 2022/08/02 21:47:22 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 1.0000e-02 eta: 1 day, 6:40:06 time: 0.2866 data_time: 0.0206 memory: 8198 grad_norm: 5.1160 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6850 loss: 1.6850 2022/08/02 21:47:28 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 1.0000e-02 eta: 1 day, 6:40:00 time: 0.2824 data_time: 0.0194 memory: 8198 grad_norm: 5.0706 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5145 loss: 1.5145 2022/08/02 21:47:33 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 1.0000e-02 eta: 1 day, 6:39:54 time: 0.2830 data_time: 0.0256 memory: 8198 grad_norm: 5.0996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7600 loss: 1.7600 2022/08/02 21:47:39 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 1.0000e-02 eta: 1 day, 6:39:48 time: 0.2849 data_time: 0.0218 memory: 8198 grad_norm: 5.0361 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7946 loss: 1.7946 2022/08/02 21:47:45 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 1.0000e-02 eta: 1 day, 6:39:43 time: 0.2891 data_time: 0.0211 memory: 8198 grad_norm: 5.0648 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7443 loss: 1.7443 2022/08/02 21:47:50 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 1.0000e-02 eta: 1 day, 6:39:37 time: 0.2795 data_time: 0.0202 memory: 8198 grad_norm: 5.1542 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7852 loss: 1.7852 2022/08/02 21:47:56 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 1.0000e-02 eta: 1 day, 6:39:31 time: 0.2848 data_time: 0.0245 memory: 8198 grad_norm: 4.9599 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8054 loss: 1.8054 2022/08/02 21:48:02 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 1.0000e-02 eta: 1 day, 6:39:25 time: 0.2809 data_time: 0.0237 memory: 8198 grad_norm: 5.0704 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6420 loss: 1.6420 2022/08/02 21:48:07 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 1.0000e-02 eta: 1 day, 6:39:19 time: 0.2812 data_time: 0.0208 memory: 8198 grad_norm: 4.9856 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8773 loss: 1.8773 2022/08/02 21:48:13 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 1.0000e-02 eta: 1 day, 6:39:13 time: 0.2816 data_time: 0.0246 memory: 8198 grad_norm: 5.1142 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7568 loss: 1.7568 2022/08/02 21:48:19 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 1.0000e-02 eta: 1 day, 6:39:07 time: 0.2814 data_time: 0.0196 memory: 8198 grad_norm: 4.9270 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5667 loss: 1.5667 2022/08/02 21:48:24 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 1.0000e-02 eta: 1 day, 6:39:01 time: 0.2852 data_time: 0.0224 memory: 8198 grad_norm: 5.1975 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7635 loss: 1.7635 2022/08/02 21:48:30 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 1.0000e-02 eta: 1 day, 6:38:56 time: 0.2876 data_time: 0.0190 memory: 8198 grad_norm: 5.2263 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7474 loss: 1.7474 2022/08/02 21:48:36 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 1.0000e-02 eta: 1 day, 6:38:51 time: 0.2877 data_time: 0.0218 memory: 8198 grad_norm: 5.1027 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6729 loss: 1.6729 2022/08/02 21:48:42 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 1.0000e-02 eta: 1 day, 6:38:46 time: 0.2998 data_time: 0.0253 memory: 8198 grad_norm: 4.9871 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7227 loss: 1.7227 2022/08/02 21:48:47 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 1.0000e-02 eta: 1 day, 6:38:40 time: 0.2784 data_time: 0.0190 memory: 8198 grad_norm: 5.0937 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5766 loss: 1.5766 2022/08/02 21:48:53 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 1.0000e-02 eta: 1 day, 6:38:34 time: 0.2817 data_time: 0.0229 memory: 8198 grad_norm: 5.0596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8414 loss: 1.8414 2022/08/02 21:48:59 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 1.0000e-02 eta: 1 day, 6:38:30 time: 0.3012 data_time: 0.0219 memory: 8198 grad_norm: 5.0939 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7189 loss: 1.7189 2022/08/02 21:49:05 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 1.0000e-02 eta: 1 day, 6:38:24 time: 0.2843 data_time: 0.0251 memory: 8198 grad_norm: 4.9916 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7384 loss: 1.7384 2022/08/02 21:49:11 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 1.0000e-02 eta: 1 day, 6:38:18 time: 0.2849 data_time: 0.0217 memory: 8198 grad_norm: 4.9826 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9171 loss: 1.9171 2022/08/02 21:49:16 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 1.0000e-02 eta: 1 day, 6:38:12 time: 0.2826 data_time: 0.0176 memory: 8198 grad_norm: 4.9660 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7734 loss: 1.7734 2022/08/02 21:49:22 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 1.0000e-02 eta: 1 day, 6:38:06 time: 0.2821 data_time: 0.0203 memory: 8198 grad_norm: 4.9352 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4675 loss: 1.4675 2022/08/02 21:49:27 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 1.0000e-02 eta: 1 day, 6:38:00 time: 0.2820 data_time: 0.0230 memory: 8198 grad_norm: 5.1155 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7532 loss: 1.7532 2022/08/02 21:49:33 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 1.0000e-02 eta: 1 day, 6:37:54 time: 0.2805 data_time: 0.0228 memory: 8198 grad_norm: 5.1706 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7492 loss: 1.7492 2022/08/02 21:49:43 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 1.0000e-02 eta: 1 day, 6:38:06 time: 0.4896 data_time: 0.0224 memory: 8198 grad_norm: 4.9460 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8004 loss: 1.8004 2022/08/02 21:49:49 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 1.0000e-02 eta: 1 day, 6:38:01 time: 0.2924 data_time: 0.0222 memory: 8198 grad_norm: 5.0713 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7475 loss: 1.7475 2022/08/02 21:49:54 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 1.0000e-02 eta: 1 day, 6:37:54 time: 0.2798 data_time: 0.0218 memory: 8198 grad_norm: 4.9152 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7236 loss: 1.7236 2022/08/02 21:50:00 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 1.0000e-02 eta: 1 day, 6:37:49 time: 0.2865 data_time: 0.0226 memory: 8198 grad_norm: 5.1269 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9110 loss: 1.9110 2022/08/02 21:50:06 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 1.0000e-02 eta: 1 day, 6:37:43 time: 0.2879 data_time: 0.0227 memory: 8198 grad_norm: 4.9512 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6725 loss: 1.6725 2022/08/02 21:50:12 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 1.0000e-02 eta: 1 day, 6:37:38 time: 0.2842 data_time: 0.0237 memory: 8198 grad_norm: 5.0596 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7067 loss: 1.7067 2022/08/02 21:50:18 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 1.0000e-02 eta: 1 day, 6:37:33 time: 0.3011 data_time: 0.0241 memory: 8198 grad_norm: 5.1598 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9271 loss: 1.9271 2022/08/02 21:50:23 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 1.0000e-02 eta: 1 day, 6:37:28 time: 0.2832 data_time: 0.0250 memory: 8198 grad_norm: 4.9526 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8377 loss: 1.8377 2022/08/02 21:50:29 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 1.0000e-02 eta: 1 day, 6:37:22 time: 0.2874 data_time: 0.0308 memory: 8198 grad_norm: 4.9534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6948 loss: 1.6948 2022/08/02 21:50:35 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 1.0000e-02 eta: 1 day, 6:37:16 time: 0.2812 data_time: 0.0241 memory: 8198 grad_norm: 5.1364 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7989 loss: 1.7989 2022/08/02 21:50:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:50:40 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 1.0000e-02 eta: 1 day, 6:37:16 time: 0.2712 data_time: 0.0133 memory: 8198 grad_norm: 5.2383 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.7267 loss: 1.7267 2022/08/02 21:50:47 - mmengine - INFO - Epoch(val) [50][20/155] eta: 0:00:46 time: 0.3446 data_time: 0.2543 memory: 1514 2022/08/02 21:50:51 - mmengine - INFO - Epoch(val) [50][40/155] eta: 0:00:25 time: 0.2191 data_time: 0.1320 memory: 1514 2022/08/02 21:50:57 - mmengine - INFO - Epoch(val) [50][60/155] eta: 0:00:28 time: 0.3039 data_time: 0.2149 memory: 1514 2022/08/02 21:51:02 - mmengine - INFO - Epoch(val) [50][80/155] eta: 0:00:16 time: 0.2249 data_time: 0.1377 memory: 1514 2022/08/02 21:51:08 - mmengine - INFO - Epoch(val) [50][100/155] eta: 0:00:17 time: 0.3182 data_time: 0.2307 memory: 1514 2022/08/02 21:51:13 - mmengine - INFO - Epoch(val) [50][120/155] eta: 0:00:07 time: 0.2263 data_time: 0.1413 memory: 1514 2022/08/02 21:51:19 - mmengine - INFO - Epoch(val) [50][140/155] eta: 0:00:04 time: 0.3132 data_time: 0.2263 memory: 1514 2022/08/02 21:51:24 - mmengine - INFO - Epoch(val) [50][155/155] acc/top1: 0.6328 acc/top5: 0.8461 acc/mean1: 0.6326 2022/08/02 21:51:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_46.pth is removed 2022/08/02 21:51:26 - mmengine - INFO - The best checkpoint with 0.6328 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2022/08/02 21:51:33 - mmengine - INFO - Epoch(train) [51][20/1879] lr: 1.0000e-02 eta: 1 day, 6:36:50 time: 0.3712 data_time: 0.1133 memory: 8198 grad_norm: 5.1049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8294 loss: 1.8294 2022/08/02 21:51:39 - mmengine - INFO - Epoch(train) [51][40/1879] lr: 1.0000e-02 eta: 1 day, 6:36:45 time: 0.2917 data_time: 0.0315 memory: 8198 grad_norm: 5.1840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/08/02 21:51:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:51:45 - mmengine - INFO - Epoch(train) [51][60/1879] lr: 1.0000e-02 eta: 1 day, 6:36:39 time: 0.2831 data_time: 0.0241 memory: 8198 grad_norm: 5.1088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5684 loss: 1.5684 2022/08/02 21:51:50 - mmengine - INFO - Epoch(train) [51][80/1879] lr: 1.0000e-02 eta: 1 day, 6:36:33 time: 0.2854 data_time: 0.0197 memory: 8198 grad_norm: 5.0470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8010 loss: 1.8010 2022/08/02 21:51:56 - mmengine - INFO - Epoch(train) [51][100/1879] lr: 1.0000e-02 eta: 1 day, 6:36:28 time: 0.2857 data_time: 0.0220 memory: 8198 grad_norm: 5.0823 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7713 loss: 1.7713 2022/08/02 21:52:02 - mmengine - INFO - Epoch(train) [51][120/1879] lr: 1.0000e-02 eta: 1 day, 6:36:22 time: 0.2807 data_time: 0.0297 memory: 8198 grad_norm: 5.0554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6900 loss: 1.6900 2022/08/02 21:52:08 - mmengine - INFO - Epoch(train) [51][140/1879] lr: 1.0000e-02 eta: 1 day, 6:36:17 time: 0.2922 data_time: 0.0239 memory: 8198 grad_norm: 5.2397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7968 loss: 1.7968 2022/08/02 21:52:13 - mmengine - INFO - Epoch(train) [51][160/1879] lr: 1.0000e-02 eta: 1 day, 6:36:10 time: 0.2802 data_time: 0.0216 memory: 8198 grad_norm: 5.0754 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6353 loss: 1.6353 2022/08/02 21:52:19 - mmengine - INFO - Epoch(train) [51][180/1879] lr: 1.0000e-02 eta: 1 day, 6:36:05 time: 0.2857 data_time: 0.0282 memory: 8198 grad_norm: 5.1274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7442 loss: 1.7442 2022/08/02 21:52:25 - mmengine - INFO - Epoch(train) [51][200/1879] lr: 1.0000e-02 eta: 1 day, 6:35:59 time: 0.2792 data_time: 0.0238 memory: 8198 grad_norm: 4.9080 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6846 loss: 1.6846 2022/08/02 21:52:30 - mmengine - INFO - Epoch(train) [51][220/1879] lr: 1.0000e-02 eta: 1 day, 6:35:53 time: 0.2898 data_time: 0.0231 memory: 8198 grad_norm: 5.0360 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6842 loss: 1.6842 2022/08/02 21:52:36 - mmengine - INFO - Epoch(train) [51][240/1879] lr: 1.0000e-02 eta: 1 day, 6:35:48 time: 0.2941 data_time: 0.0233 memory: 8198 grad_norm: 5.0891 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7930 loss: 1.7930 2022/08/02 21:52:42 - mmengine - INFO - Epoch(train) [51][260/1879] lr: 1.0000e-02 eta: 1 day, 6:35:42 time: 0.2807 data_time: 0.0227 memory: 8198 grad_norm: 4.9203 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/08/02 21:52:48 - mmengine - INFO - Epoch(train) [51][280/1879] lr: 1.0000e-02 eta: 1 day, 6:35:37 time: 0.2842 data_time: 0.0233 memory: 8198 grad_norm: 5.0413 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8897 loss: 1.8897 2022/08/02 21:52:53 - mmengine - INFO - Epoch(train) [51][300/1879] lr: 1.0000e-02 eta: 1 day, 6:35:31 time: 0.2832 data_time: 0.0230 memory: 8198 grad_norm: 4.9776 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6144 loss: 1.6144 2022/08/02 21:52:59 - mmengine - INFO - Epoch(train) [51][320/1879] lr: 1.0000e-02 eta: 1 day, 6:35:25 time: 0.2843 data_time: 0.0246 memory: 8198 grad_norm: 5.0200 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6408 loss: 1.6408 2022/08/02 21:53:05 - mmengine - INFO - Epoch(train) [51][340/1879] lr: 1.0000e-02 eta: 1 day, 6:35:19 time: 0.2809 data_time: 0.0217 memory: 8198 grad_norm: 5.0382 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6852 loss: 1.6852 2022/08/02 21:53:10 - mmengine - INFO - Epoch(train) [51][360/1879] lr: 1.0000e-02 eta: 1 day, 6:35:13 time: 0.2830 data_time: 0.0226 memory: 8198 grad_norm: 5.1770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8583 loss: 1.8583 2022/08/02 21:53:16 - mmengine - INFO - Epoch(train) [51][380/1879] lr: 1.0000e-02 eta: 1 day, 6:35:07 time: 0.2834 data_time: 0.0237 memory: 8198 grad_norm: 5.0477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7912 loss: 1.7912 2022/08/02 21:53:22 - mmengine - INFO - Epoch(train) [51][400/1879] lr: 1.0000e-02 eta: 1 day, 6:35:01 time: 0.2788 data_time: 0.0204 memory: 8198 grad_norm: 5.2002 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9795 loss: 1.9795 2022/08/02 21:53:27 - mmengine - INFO - Epoch(train) [51][420/1879] lr: 1.0000e-02 eta: 1 day, 6:34:56 time: 0.2851 data_time: 0.0243 memory: 8198 grad_norm: 5.2605 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8731 loss: 1.8731 2022/08/02 21:53:33 - mmengine - INFO - Epoch(train) [51][440/1879] lr: 1.0000e-02 eta: 1 day, 6:34:50 time: 0.2799 data_time: 0.0238 memory: 8198 grad_norm: 5.2419 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8581 loss: 1.8581 2022/08/02 21:53:39 - mmengine - INFO - Epoch(train) [51][460/1879] lr: 1.0000e-02 eta: 1 day, 6:34:44 time: 0.2830 data_time: 0.0225 memory: 8198 grad_norm: 5.1752 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7614 loss: 1.7614 2022/08/02 21:53:44 - mmengine - INFO - Epoch(train) [51][480/1879] lr: 1.0000e-02 eta: 1 day, 6:34:38 time: 0.2798 data_time: 0.0223 memory: 8198 grad_norm: 5.1594 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8422 loss: 1.8422 2022/08/02 21:53:50 - mmengine - INFO - Epoch(train) [51][500/1879] lr: 1.0000e-02 eta: 1 day, 6:34:32 time: 0.2902 data_time: 0.0235 memory: 8198 grad_norm: 5.1102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8317 loss: 1.8317 2022/08/02 21:53:56 - mmengine - INFO - Epoch(train) [51][520/1879] lr: 1.0000e-02 eta: 1 day, 6:34:26 time: 0.2826 data_time: 0.0211 memory: 8198 grad_norm: 5.0142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7895 loss: 1.7895 2022/08/02 21:54:01 - mmengine - INFO - Epoch(train) [51][540/1879] lr: 1.0000e-02 eta: 1 day, 6:34:21 time: 0.2868 data_time: 0.0271 memory: 8198 grad_norm: 5.1445 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1650 loss: 2.1650 2022/08/02 21:54:07 - mmengine - INFO - Epoch(train) [51][560/1879] lr: 1.0000e-02 eta: 1 day, 6:34:15 time: 0.2857 data_time: 0.0212 memory: 8198 grad_norm: 5.0011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6986 loss: 1.6986 2022/08/02 21:54:13 - mmengine - INFO - Epoch(train) [51][580/1879] lr: 1.0000e-02 eta: 1 day, 6:34:11 time: 0.2967 data_time: 0.0259 memory: 8198 grad_norm: 5.0921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6590 loss: 1.6590 2022/08/02 21:54:19 - mmengine - INFO - Epoch(train) [51][600/1879] lr: 1.0000e-02 eta: 1 day, 6:34:05 time: 0.2821 data_time: 0.0211 memory: 8198 grad_norm: 5.1840 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8474 loss: 1.8474 2022/08/02 21:54:24 - mmengine - INFO - Epoch(train) [51][620/1879] lr: 1.0000e-02 eta: 1 day, 6:33:59 time: 0.2822 data_time: 0.0218 memory: 8198 grad_norm: 5.0447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0118 loss: 2.0118 2022/08/02 21:54:30 - mmengine - INFO - Epoch(train) [51][640/1879] lr: 1.0000e-02 eta: 1 day, 6:33:53 time: 0.2882 data_time: 0.0259 memory: 8198 grad_norm: 5.2165 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/08/02 21:54:36 - mmengine - INFO - Epoch(train) [51][660/1879] lr: 1.0000e-02 eta: 1 day, 6:33:47 time: 0.2816 data_time: 0.0248 memory: 8198 grad_norm: 5.1312 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8769 loss: 1.8769 2022/08/02 21:54:41 - mmengine - INFO - Epoch(train) [51][680/1879] lr: 1.0000e-02 eta: 1 day, 6:33:41 time: 0.2818 data_time: 0.0178 memory: 8198 grad_norm: 4.9682 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8195 loss: 1.8195 2022/08/02 21:54:48 - mmengine - INFO - Epoch(train) [51][700/1879] lr: 1.0000e-02 eta: 1 day, 6:33:38 time: 0.3136 data_time: 0.0231 memory: 8198 grad_norm: 5.1531 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7689 loss: 1.7689 2022/08/02 21:54:53 - mmengine - INFO - Epoch(train) [51][720/1879] lr: 1.0000e-02 eta: 1 day, 6:33:32 time: 0.2798 data_time: 0.0219 memory: 8198 grad_norm: 4.9519 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6953 loss: 1.6953 2022/08/02 21:54:59 - mmengine - INFO - Epoch(train) [51][740/1879] lr: 1.0000e-02 eta: 1 day, 6:33:27 time: 0.2905 data_time: 0.0212 memory: 8198 grad_norm: 4.9747 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7563 loss: 1.7563 2022/08/02 21:55:05 - mmengine - INFO - Epoch(train) [51][760/1879] lr: 1.0000e-02 eta: 1 day, 6:33:21 time: 0.2796 data_time: 0.0245 memory: 8198 grad_norm: 5.1319 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8769 loss: 1.8769 2022/08/02 21:55:11 - mmengine - INFO - Epoch(train) [51][780/1879] lr: 1.0000e-02 eta: 1 day, 6:33:16 time: 0.2987 data_time: 0.0242 memory: 8198 grad_norm: 5.1717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7247 loss: 1.7247 2022/08/02 21:55:16 - mmengine - INFO - Epoch(train) [51][800/1879] lr: 1.0000e-02 eta: 1 day, 6:33:10 time: 0.2819 data_time: 0.0183 memory: 8198 grad_norm: 5.2104 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7044 loss: 1.7044 2022/08/02 21:55:22 - mmengine - INFO - Epoch(train) [51][820/1879] lr: 1.0000e-02 eta: 1 day, 6:33:04 time: 0.2826 data_time: 0.0214 memory: 8198 grad_norm: 5.3096 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 2.0378 loss: 2.0378 2022/08/02 21:55:28 - mmengine - INFO - Epoch(train) [51][840/1879] lr: 1.0000e-02 eta: 1 day, 6:33:00 time: 0.3016 data_time: 0.0229 memory: 8198 grad_norm: 5.0648 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7762 loss: 1.7762 2022/08/02 21:55:34 - mmengine - INFO - Epoch(train) [51][860/1879] lr: 1.0000e-02 eta: 1 day, 6:32:54 time: 0.2847 data_time: 0.0285 memory: 8198 grad_norm: 5.1017 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7514 loss: 1.7514 2022/08/02 21:55:39 - mmengine - INFO - Epoch(train) [51][880/1879] lr: 1.0000e-02 eta: 1 day, 6:32:49 time: 0.2878 data_time: 0.0271 memory: 8198 grad_norm: 5.1846 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6206 loss: 1.6206 2022/08/02 21:55:45 - mmengine - INFO - Epoch(train) [51][900/1879] lr: 1.0000e-02 eta: 1 day, 6:32:43 time: 0.2851 data_time: 0.0266 memory: 8198 grad_norm: 4.9724 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6996 loss: 1.6996 2022/08/02 21:55:51 - mmengine - INFO - Epoch(train) [51][920/1879] lr: 1.0000e-02 eta: 1 day, 6:32:39 time: 0.2994 data_time: 0.0194 memory: 8198 grad_norm: 5.0025 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7369 loss: 1.7369 2022/08/02 21:55:57 - mmengine - INFO - Epoch(train) [51][940/1879] lr: 1.0000e-02 eta: 1 day, 6:32:33 time: 0.2846 data_time: 0.0218 memory: 8198 grad_norm: 4.9401 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7522 loss: 1.7522 2022/08/02 21:56:03 - mmengine - INFO - Epoch(train) [51][960/1879] lr: 1.0000e-02 eta: 1 day, 6:32:27 time: 0.2800 data_time: 0.0205 memory: 8198 grad_norm: 5.0174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8524 loss: 1.8524 2022/08/02 21:56:08 - mmengine - INFO - Epoch(train) [51][980/1879] lr: 1.0000e-02 eta: 1 day, 6:32:22 time: 0.2940 data_time: 0.0230 memory: 8198 grad_norm: 5.0235 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7740 loss: 1.7740 2022/08/02 21:56:14 - mmengine - INFO - Epoch(train) [51][1000/1879] lr: 1.0000e-02 eta: 1 day, 6:32:16 time: 0.2806 data_time: 0.0239 memory: 8198 grad_norm: 5.1270 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6727 loss: 1.6727 2022/08/02 21:56:20 - mmengine - INFO - Epoch(train) [51][1020/1879] lr: 1.0000e-02 eta: 1 day, 6:32:10 time: 0.2873 data_time: 0.0206 memory: 8198 grad_norm: 5.1189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/08/02 21:56:25 - mmengine - INFO - Epoch(train) [51][1040/1879] lr: 1.0000e-02 eta: 1 day, 6:32:05 time: 0.2840 data_time: 0.0253 memory: 8198 grad_norm: 5.0415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8720 loss: 1.8720 2022/08/02 21:56:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 21:56:31 - mmengine - INFO - Epoch(train) [51][1060/1879] lr: 1.0000e-02 eta: 1 day, 6:31:59 time: 0.2862 data_time: 0.0244 memory: 8198 grad_norm: 4.9674 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7802 loss: 1.7802 2022/08/02 21:56:37 - mmengine - INFO - Epoch(train) [51][1080/1879] lr: 1.0000e-02 eta: 1 day, 6:31:53 time: 0.2825 data_time: 0.0257 memory: 8198 grad_norm: 5.1824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7047 loss: 1.7047 2022/08/02 21:56:43 - mmengine - INFO - Epoch(train) [51][1100/1879] lr: 1.0000e-02 eta: 1 day, 6:31:47 time: 0.2826 data_time: 0.0217 memory: 8198 grad_norm: 5.0903 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6119 loss: 1.6119 2022/08/02 21:56:49 - mmengine - INFO - Epoch(train) [51][1120/1879] lr: 1.0000e-02 eta: 1 day, 6:31:43 time: 0.3018 data_time: 0.0238 memory: 8198 grad_norm: 5.0636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/08/02 21:56:54 - mmengine - INFO - Epoch(train) [51][1140/1879] lr: 1.0000e-02 eta: 1 day, 6:31:37 time: 0.2804 data_time: 0.0201 memory: 8198 grad_norm: 5.2797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/02 21:57:00 - mmengine - INFO - Epoch(train) [51][1160/1879] lr: 1.0000e-02 eta: 1 day, 6:31:31 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 4.9361 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6364 loss: 1.6364 2022/08/02 21:57:06 - mmengine - INFO - Epoch(train) [51][1180/1879] lr: 1.0000e-02 eta: 1 day, 6:31:26 time: 0.2824 data_time: 0.0206 memory: 8198 grad_norm: 4.8917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7437 loss: 1.7437 2022/08/02 21:57:11 - mmengine - INFO - Epoch(train) [51][1200/1879] lr: 1.0000e-02 eta: 1 day, 6:31:20 time: 0.2860 data_time: 0.0226 memory: 8198 grad_norm: 5.1658 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7472 loss: 1.7472 2022/08/02 21:57:17 - mmengine - INFO - Epoch(train) [51][1220/1879] lr: 1.0000e-02 eta: 1 day, 6:31:14 time: 0.2851 data_time: 0.0216 memory: 8198 grad_norm: 5.4121 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7267 loss: 1.7267 2022/08/02 21:57:23 - mmengine - INFO - Epoch(train) [51][1240/1879] lr: 1.0000e-02 eta: 1 day, 6:31:09 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 4.9688 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7684 loss: 1.7684 2022/08/02 21:57:28 - mmengine - INFO - Epoch(train) [51][1260/1879] lr: 1.0000e-02 eta: 1 day, 6:31:03 time: 0.2864 data_time: 0.0248 memory: 8198 grad_norm: 4.9999 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5858 loss: 1.5858 2022/08/02 21:57:34 - mmengine - INFO - Epoch(train) [51][1280/1879] lr: 1.0000e-02 eta: 1 day, 6:30:57 time: 0.2808 data_time: 0.0191 memory: 8198 grad_norm: 5.1785 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7221 loss: 1.7221 2022/08/02 21:57:40 - mmengine - INFO - Epoch(train) [51][1300/1879] lr: 1.0000e-02 eta: 1 day, 6:30:51 time: 0.2837 data_time: 0.0223 memory: 8198 grad_norm: 5.1165 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8725 loss: 1.8725 2022/08/02 21:57:45 - mmengine - INFO - Epoch(train) [51][1320/1879] lr: 1.0000e-02 eta: 1 day, 6:30:46 time: 0.2850 data_time: 0.0203 memory: 8198 grad_norm: 5.0819 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9880 loss: 1.9880 2022/08/02 21:57:51 - mmengine - INFO - Epoch(train) [51][1340/1879] lr: 1.0000e-02 eta: 1 day, 6:30:40 time: 0.2831 data_time: 0.0251 memory: 8198 grad_norm: 4.8970 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6809 loss: 1.6809 2022/08/02 21:57:57 - mmengine - INFO - Epoch(train) [51][1360/1879] lr: 1.0000e-02 eta: 1 day, 6:30:34 time: 0.2810 data_time: 0.0231 memory: 8198 grad_norm: 4.8850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/08/02 21:58:02 - mmengine - INFO - Epoch(train) [51][1380/1879] lr: 1.0000e-02 eta: 1 day, 6:30:28 time: 0.2833 data_time: 0.0241 memory: 8198 grad_norm: 5.1378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5790 loss: 1.5790 2022/08/02 21:58:08 - mmengine - INFO - Epoch(train) [51][1400/1879] lr: 1.0000e-02 eta: 1 day, 6:30:22 time: 0.2814 data_time: 0.0236 memory: 8198 grad_norm: 5.1340 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6605 loss: 1.6605 2022/08/02 21:58:14 - mmengine - INFO - Epoch(train) [51][1420/1879] lr: 1.0000e-02 eta: 1 day, 6:30:16 time: 0.2838 data_time: 0.0239 memory: 8198 grad_norm: 5.0978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7704 loss: 1.7704 2022/08/02 21:58:20 - mmengine - INFO - Epoch(train) [51][1440/1879] lr: 1.0000e-02 eta: 1 day, 6:30:11 time: 0.2870 data_time: 0.0228 memory: 8198 grad_norm: 5.1717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8426 loss: 1.8426 2022/08/02 21:58:25 - mmengine - INFO - Epoch(train) [51][1460/1879] lr: 1.0000e-02 eta: 1 day, 6:30:05 time: 0.2816 data_time: 0.0208 memory: 8198 grad_norm: 5.1691 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6757 loss: 1.6757 2022/08/02 21:58:31 - mmengine - INFO - Epoch(train) [51][1480/1879] lr: 1.0000e-02 eta: 1 day, 6:30:00 time: 0.2926 data_time: 0.0217 memory: 8198 grad_norm: 5.1141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5004 loss: 1.5004 2022/08/02 21:58:37 - mmengine - INFO - Epoch(train) [51][1500/1879] lr: 1.0000e-02 eta: 1 day, 6:29:54 time: 0.2860 data_time: 0.0245 memory: 8198 grad_norm: 5.0389 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5830 loss: 1.5830 2022/08/02 21:58:42 - mmengine - INFO - Epoch(train) [51][1520/1879] lr: 1.0000e-02 eta: 1 day, 6:29:48 time: 0.2839 data_time: 0.0226 memory: 8198 grad_norm: 5.0670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8884 loss: 1.8884 2022/08/02 21:58:48 - mmengine - INFO - Epoch(train) [51][1540/1879] lr: 1.0000e-02 eta: 1 day, 6:29:43 time: 0.2845 data_time: 0.0239 memory: 8198 grad_norm: 5.1764 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7050 loss: 1.7050 2022/08/02 21:58:54 - mmengine - INFO - Epoch(train) [51][1560/1879] lr: 1.0000e-02 eta: 1 day, 6:29:37 time: 0.2835 data_time: 0.0242 memory: 8198 grad_norm: 5.0453 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9527 loss: 1.9527 2022/08/02 21:58:59 - mmengine - INFO - Epoch(train) [51][1580/1879] lr: 1.0000e-02 eta: 1 day, 6:29:31 time: 0.2817 data_time: 0.0204 memory: 8198 grad_norm: 5.1084 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9574 loss: 1.9574 2022/08/02 21:59:05 - mmengine - INFO - Epoch(train) [51][1600/1879] lr: 1.0000e-02 eta: 1 day, 6:29:25 time: 0.2795 data_time: 0.0180 memory: 8198 grad_norm: 5.0479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7285 loss: 1.7285 2022/08/02 21:59:11 - mmengine - INFO - Epoch(train) [51][1620/1879] lr: 1.0000e-02 eta: 1 day, 6:29:19 time: 0.2821 data_time: 0.0237 memory: 8198 grad_norm: 5.1209 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4674 loss: 1.4674 2022/08/02 21:59:16 - mmengine - INFO - Epoch(train) [51][1640/1879] lr: 1.0000e-02 eta: 1 day, 6:29:13 time: 0.2865 data_time: 0.0258 memory: 8198 grad_norm: 5.0171 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6269 loss: 1.6269 2022/08/02 21:59:22 - mmengine - INFO - Epoch(train) [51][1660/1879] lr: 1.0000e-02 eta: 1 day, 6:29:07 time: 0.2841 data_time: 0.0254 memory: 8198 grad_norm: 5.1847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7731 loss: 1.7731 2022/08/02 21:59:28 - mmengine - INFO - Epoch(train) [51][1680/1879] lr: 1.0000e-02 eta: 1 day, 6:29:02 time: 0.2816 data_time: 0.0193 memory: 8198 grad_norm: 5.1597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5870 loss: 1.5870 2022/08/02 21:59:33 - mmengine - INFO - Epoch(train) [51][1700/1879] lr: 1.0000e-02 eta: 1 day, 6:28:56 time: 0.2848 data_time: 0.0301 memory: 8198 grad_norm: 5.1714 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9742 loss: 1.9742 2022/08/02 21:59:39 - mmengine - INFO - Epoch(train) [51][1720/1879] lr: 1.0000e-02 eta: 1 day, 6:28:50 time: 0.2838 data_time: 0.0256 memory: 8198 grad_norm: 5.0664 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7249 loss: 1.7249 2022/08/02 21:59:45 - mmengine - INFO - Epoch(train) [51][1740/1879] lr: 1.0000e-02 eta: 1 day, 6:28:45 time: 0.2878 data_time: 0.0255 memory: 8198 grad_norm: 5.0984 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6219 loss: 1.6219 2022/08/02 21:59:51 - mmengine - INFO - Epoch(train) [51][1760/1879] lr: 1.0000e-02 eta: 1 day, 6:28:39 time: 0.2825 data_time: 0.0260 memory: 8198 grad_norm: 5.1160 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8313 loss: 1.8313 2022/08/02 21:59:56 - mmengine - INFO - Epoch(train) [51][1780/1879] lr: 1.0000e-02 eta: 1 day, 6:28:33 time: 0.2825 data_time: 0.0222 memory: 8198 grad_norm: 5.1521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7720 loss: 1.7720 2022/08/02 22:00:02 - mmengine - INFO - Epoch(train) [51][1800/1879] lr: 1.0000e-02 eta: 1 day, 6:28:27 time: 0.2834 data_time: 0.0183 memory: 8198 grad_norm: 5.0088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6871 loss: 1.6871 2022/08/02 22:00:08 - mmengine - INFO - Epoch(train) [51][1820/1879] lr: 1.0000e-02 eta: 1 day, 6:28:21 time: 0.2842 data_time: 0.0266 memory: 8198 grad_norm: 5.1480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7037 loss: 1.7037 2022/08/02 22:00:13 - mmengine - INFO - Epoch(train) [51][1840/1879] lr: 1.0000e-02 eta: 1 day, 6:28:15 time: 0.2819 data_time: 0.0230 memory: 8198 grad_norm: 5.0716 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8092 loss: 1.8092 2022/08/02 22:00:19 - mmengine - INFO - Epoch(train) [51][1860/1879] lr: 1.0000e-02 eta: 1 day, 6:28:10 time: 0.2847 data_time: 0.0192 memory: 8198 grad_norm: 4.9905 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6031 loss: 1.6031 2022/08/02 22:00:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:00:24 - mmengine - INFO - Epoch(train) [51][1879/1879] lr: 1.0000e-02 eta: 1 day, 6:28:10 time: 0.2549 data_time: 0.0168 memory: 8198 grad_norm: 5.3569 top1_acc: 0.1429 top5_acc: 0.8571 loss_cls: 1.8674 loss: 1.8674 2022/08/02 22:00:33 - mmengine - INFO - Epoch(train) [52][20/1879] lr: 1.0000e-02 eta: 1 day, 6:27:50 time: 0.4479 data_time: 0.1019 memory: 8198 grad_norm: 5.0380 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7428 loss: 1.7428 2022/08/02 22:00:39 - mmengine - INFO - Epoch(train) [52][40/1879] lr: 1.0000e-02 eta: 1 day, 6:27:46 time: 0.3007 data_time: 0.0320 memory: 8198 grad_norm: 5.0335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6869 loss: 1.6869 2022/08/02 22:00:45 - mmengine - INFO - Epoch(train) [52][60/1879] lr: 1.0000e-02 eta: 1 day, 6:27:40 time: 0.2814 data_time: 0.0265 memory: 8198 grad_norm: 5.0298 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7111 loss: 1.7111 2022/08/02 22:00:50 - mmengine - INFO - Epoch(train) [52][80/1879] lr: 1.0000e-02 eta: 1 day, 6:27:34 time: 0.2804 data_time: 0.0240 memory: 8198 grad_norm: 5.0866 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7765 loss: 1.7765 2022/08/02 22:00:56 - mmengine - INFO - Epoch(train) [52][100/1879] lr: 1.0000e-02 eta: 1 day, 6:27:28 time: 0.2844 data_time: 0.0232 memory: 8198 grad_norm: 5.1437 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7348 loss: 1.7348 2022/08/02 22:01:02 - mmengine - INFO - Epoch(train) [52][120/1879] lr: 1.0000e-02 eta: 1 day, 6:27:22 time: 0.2878 data_time: 0.0249 memory: 8198 grad_norm: 5.1211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7582 loss: 1.7582 2022/08/02 22:01:07 - mmengine - INFO - Epoch(train) [52][140/1879] lr: 1.0000e-02 eta: 1 day, 6:27:17 time: 0.2854 data_time: 0.0246 memory: 8198 grad_norm: 4.7739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7012 loss: 1.7012 2022/08/02 22:01:13 - mmengine - INFO - Epoch(train) [52][160/1879] lr: 1.0000e-02 eta: 1 day, 6:27:11 time: 0.2813 data_time: 0.0196 memory: 8198 grad_norm: 4.9809 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6911 loss: 1.6911 2022/08/02 22:01:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:01:19 - mmengine - INFO - Epoch(train) [52][180/1879] lr: 1.0000e-02 eta: 1 day, 6:27:05 time: 0.2873 data_time: 0.0285 memory: 8198 grad_norm: 5.1643 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8664 loss: 1.8664 2022/08/02 22:01:24 - mmengine - INFO - Epoch(train) [52][200/1879] lr: 1.0000e-02 eta: 1 day, 6:26:59 time: 0.2832 data_time: 0.0272 memory: 8198 grad_norm: 5.1269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6176 loss: 1.6176 2022/08/02 22:01:30 - mmengine - INFO - Epoch(train) [52][220/1879] lr: 1.0000e-02 eta: 1 day, 6:26:54 time: 0.2840 data_time: 0.0312 memory: 8198 grad_norm: 5.0435 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8455 loss: 1.8455 2022/08/02 22:01:36 - mmengine - INFO - Epoch(train) [52][240/1879] lr: 1.0000e-02 eta: 1 day, 6:26:48 time: 0.2805 data_time: 0.0222 memory: 8198 grad_norm: 5.1279 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9046 loss: 1.9046 2022/08/02 22:01:41 - mmengine - INFO - Epoch(train) [52][260/1879] lr: 1.0000e-02 eta: 1 day, 6:26:42 time: 0.2843 data_time: 0.0258 memory: 8198 grad_norm: 5.1708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6313 loss: 1.6313 2022/08/02 22:01:47 - mmengine - INFO - Epoch(train) [52][280/1879] lr: 1.0000e-02 eta: 1 day, 6:26:36 time: 0.2820 data_time: 0.0255 memory: 8198 grad_norm: 5.1247 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7481 loss: 1.7481 2022/08/02 22:01:53 - mmengine - INFO - Epoch(train) [52][300/1879] lr: 1.0000e-02 eta: 1 day, 6:26:30 time: 0.2801 data_time: 0.0238 memory: 8198 grad_norm: 5.0978 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7191 loss: 1.7191 2022/08/02 22:01:58 - mmengine - INFO - Epoch(train) [52][320/1879] lr: 1.0000e-02 eta: 1 day, 6:26:24 time: 0.2817 data_time: 0.0213 memory: 8198 grad_norm: 5.1426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6843 loss: 1.6843 2022/08/02 22:02:04 - mmengine - INFO - Epoch(train) [52][340/1879] lr: 1.0000e-02 eta: 1 day, 6:26:18 time: 0.2813 data_time: 0.0225 memory: 8198 grad_norm: 5.1728 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5324 loss: 1.5324 2022/08/02 22:02:10 - mmengine - INFO - Epoch(train) [52][360/1879] lr: 1.0000e-02 eta: 1 day, 6:26:12 time: 0.2824 data_time: 0.0218 memory: 8198 grad_norm: 5.0186 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6856 loss: 1.6856 2022/08/02 22:02:15 - mmengine - INFO - Epoch(train) [52][380/1879] lr: 1.0000e-02 eta: 1 day, 6:26:06 time: 0.2831 data_time: 0.0239 memory: 8198 grad_norm: 5.0641 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7224 loss: 1.7224 2022/08/02 22:02:21 - mmengine - INFO - Epoch(train) [52][400/1879] lr: 1.0000e-02 eta: 1 day, 6:26:01 time: 0.2841 data_time: 0.0187 memory: 8198 grad_norm: 5.2847 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6528 loss: 1.6528 2022/08/02 22:02:27 - mmengine - INFO - Epoch(train) [52][420/1879] lr: 1.0000e-02 eta: 1 day, 6:25:54 time: 0.2788 data_time: 0.0212 memory: 8198 grad_norm: 5.3425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7920 loss: 1.7920 2022/08/02 22:02:32 - mmengine - INFO - Epoch(train) [52][440/1879] lr: 1.0000e-02 eta: 1 day, 6:25:49 time: 0.2827 data_time: 0.0210 memory: 8198 grad_norm: 5.1097 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7379 loss: 1.7379 2022/08/02 22:02:38 - mmengine - INFO - Epoch(train) [52][460/1879] lr: 1.0000e-02 eta: 1 day, 6:25:43 time: 0.2922 data_time: 0.0240 memory: 8198 grad_norm: 4.9947 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8720 loss: 1.8720 2022/08/02 22:02:44 - mmengine - INFO - Epoch(train) [52][480/1879] lr: 1.0000e-02 eta: 1 day, 6:25:37 time: 0.2799 data_time: 0.0256 memory: 8198 grad_norm: 5.0941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9002 loss: 1.9002 2022/08/02 22:02:49 - mmengine - INFO - Epoch(train) [52][500/1879] lr: 1.0000e-02 eta: 1 day, 6:25:32 time: 0.2830 data_time: 0.0227 memory: 8198 grad_norm: 5.2306 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7701 loss: 1.7701 2022/08/02 22:02:55 - mmengine - INFO - Epoch(train) [52][520/1879] lr: 1.0000e-02 eta: 1 day, 6:25:25 time: 0.2794 data_time: 0.0238 memory: 8198 grad_norm: 5.1396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8671 loss: 1.8671 2022/08/02 22:03:01 - mmengine - INFO - Epoch(train) [52][540/1879] lr: 1.0000e-02 eta: 1 day, 6:25:20 time: 0.2855 data_time: 0.0246 memory: 8198 grad_norm: 4.9725 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7510 loss: 1.7510 2022/08/02 22:03:06 - mmengine - INFO - Epoch(train) [52][560/1879] lr: 1.0000e-02 eta: 1 day, 6:25:14 time: 0.2787 data_time: 0.0214 memory: 8198 grad_norm: 5.1510 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7739 loss: 1.7739 2022/08/02 22:03:12 - mmengine - INFO - Epoch(train) [52][580/1879] lr: 1.0000e-02 eta: 1 day, 6:25:08 time: 0.2866 data_time: 0.0252 memory: 8198 grad_norm: 5.2170 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7258 loss: 1.7258 2022/08/02 22:03:18 - mmengine - INFO - Epoch(train) [52][600/1879] lr: 1.0000e-02 eta: 1 day, 6:25:03 time: 0.2924 data_time: 0.0192 memory: 8198 grad_norm: 5.0631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7891 loss: 1.7891 2022/08/02 22:03:23 - mmengine - INFO - Epoch(train) [52][620/1879] lr: 1.0000e-02 eta: 1 day, 6:24:57 time: 0.2821 data_time: 0.0263 memory: 8198 grad_norm: 5.1080 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7687 loss: 1.7687 2022/08/02 22:03:29 - mmengine - INFO - Epoch(train) [52][640/1879] lr: 1.0000e-02 eta: 1 day, 6:24:51 time: 0.2856 data_time: 0.0243 memory: 8198 grad_norm: 5.0567 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8110 loss: 1.8110 2022/08/02 22:03:35 - mmengine - INFO - Epoch(train) [52][660/1879] lr: 1.0000e-02 eta: 1 day, 6:24:46 time: 0.2871 data_time: 0.0252 memory: 8198 grad_norm: 5.0808 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9775 loss: 1.9775 2022/08/02 22:03:41 - mmengine - INFO - Epoch(train) [52][680/1879] lr: 1.0000e-02 eta: 1 day, 6:24:40 time: 0.2869 data_time: 0.0218 memory: 8198 grad_norm: 5.2095 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/08/02 22:03:46 - mmengine - INFO - Epoch(train) [52][700/1879] lr: 1.0000e-02 eta: 1 day, 6:24:35 time: 0.2821 data_time: 0.0231 memory: 8198 grad_norm: 5.1302 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7334 loss: 1.7334 2022/08/02 22:03:52 - mmengine - INFO - Epoch(train) [52][720/1879] lr: 1.0000e-02 eta: 1 day, 6:24:29 time: 0.2818 data_time: 0.0233 memory: 8198 grad_norm: 5.0864 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8625 loss: 1.8625 2022/08/02 22:03:58 - mmengine - INFO - Epoch(train) [52][740/1879] lr: 1.0000e-02 eta: 1 day, 6:24:25 time: 0.3073 data_time: 0.0273 memory: 8198 grad_norm: 5.0314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6862 loss: 1.6862 2022/08/02 22:04:04 - mmengine - INFO - Epoch(train) [52][760/1879] lr: 1.0000e-02 eta: 1 day, 6:24:19 time: 0.2796 data_time: 0.0263 memory: 8198 grad_norm: 5.1135 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6091 loss: 1.6091 2022/08/02 22:04:09 - mmengine - INFO - Epoch(train) [52][780/1879] lr: 1.0000e-02 eta: 1 day, 6:24:13 time: 0.2816 data_time: 0.0262 memory: 8198 grad_norm: 5.2919 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8137 loss: 1.8137 2022/08/02 22:04:15 - mmengine - INFO - Epoch(train) [52][800/1879] lr: 1.0000e-02 eta: 1 day, 6:24:07 time: 0.2802 data_time: 0.0238 memory: 8198 grad_norm: 5.1110 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7381 loss: 1.7381 2022/08/02 22:04:21 - mmengine - INFO - Epoch(train) [52][820/1879] lr: 1.0000e-02 eta: 1 day, 6:24:01 time: 0.2908 data_time: 0.0258 memory: 8198 grad_norm: 4.9624 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7325 loss: 1.7325 2022/08/02 22:04:27 - mmengine - INFO - Epoch(train) [52][840/1879] lr: 1.0000e-02 eta: 1 day, 6:23:56 time: 0.2823 data_time: 0.0193 memory: 8198 grad_norm: 5.0503 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6179 loss: 1.6179 2022/08/02 22:04:32 - mmengine - INFO - Epoch(train) [52][860/1879] lr: 1.0000e-02 eta: 1 day, 6:23:50 time: 0.2812 data_time: 0.0221 memory: 8198 grad_norm: 5.1394 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6248 loss: 1.6248 2022/08/02 22:04:38 - mmengine - INFO - Epoch(train) [52][880/1879] lr: 1.0000e-02 eta: 1 day, 6:23:44 time: 0.2918 data_time: 0.0225 memory: 8198 grad_norm: 5.1640 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6628 loss: 1.6628 2022/08/02 22:04:44 - mmengine - INFO - Epoch(train) [52][900/1879] lr: 1.0000e-02 eta: 1 day, 6:23:38 time: 0.2798 data_time: 0.0228 memory: 8198 grad_norm: 5.1691 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6129 loss: 1.6129 2022/08/02 22:04:49 - mmengine - INFO - Epoch(train) [52][920/1879] lr: 1.0000e-02 eta: 1 day, 6:23:32 time: 0.2813 data_time: 0.0219 memory: 8198 grad_norm: 5.0255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8324 loss: 1.8324 2022/08/02 22:04:55 - mmengine - INFO - Epoch(train) [52][940/1879] lr: 1.0000e-02 eta: 1 day, 6:23:27 time: 0.2849 data_time: 0.0240 memory: 8198 grad_norm: 5.0407 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7968 loss: 1.7968 2022/08/02 22:05:01 - mmengine - INFO - Epoch(train) [52][960/1879] lr: 1.0000e-02 eta: 1 day, 6:23:20 time: 0.2788 data_time: 0.0206 memory: 8198 grad_norm: 5.1253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7862 loss: 1.7862 2022/08/02 22:05:06 - mmengine - INFO - Epoch(train) [52][980/1879] lr: 1.0000e-02 eta: 1 day, 6:23:15 time: 0.2869 data_time: 0.0237 memory: 8198 grad_norm: 5.1226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6062 loss: 1.6062 2022/08/02 22:05:12 - mmengine - INFO - Epoch(train) [52][1000/1879] lr: 1.0000e-02 eta: 1 day, 6:23:09 time: 0.2854 data_time: 0.0241 memory: 8198 grad_norm: 5.0949 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7905 loss: 1.7905 2022/08/02 22:05:18 - mmengine - INFO - Epoch(train) [52][1020/1879] lr: 1.0000e-02 eta: 1 day, 6:23:03 time: 0.2805 data_time: 0.0210 memory: 8198 grad_norm: 5.0623 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6148 loss: 1.6148 2022/08/02 22:05:23 - mmengine - INFO - Epoch(train) [52][1040/1879] lr: 1.0000e-02 eta: 1 day, 6:22:57 time: 0.2830 data_time: 0.0247 memory: 8198 grad_norm: 5.1123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8295 loss: 1.8295 2022/08/02 22:05:29 - mmengine - INFO - Epoch(train) [52][1060/1879] lr: 1.0000e-02 eta: 1 day, 6:22:52 time: 0.2816 data_time: 0.0187 memory: 8198 grad_norm: 5.1052 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5220 loss: 1.5220 2022/08/02 22:05:35 - mmengine - INFO - Epoch(train) [52][1080/1879] lr: 1.0000e-02 eta: 1 day, 6:22:46 time: 0.2894 data_time: 0.0258 memory: 8198 grad_norm: 5.1552 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5695 loss: 1.5695 2022/08/02 22:05:41 - mmengine - INFO - Epoch(train) [52][1100/1879] lr: 1.0000e-02 eta: 1 day, 6:22:41 time: 0.2911 data_time: 0.0220 memory: 8198 grad_norm: 5.1711 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6675 loss: 1.6675 2022/08/02 22:05:46 - mmengine - INFO - Epoch(train) [52][1120/1879] lr: 1.0000e-02 eta: 1 day, 6:22:35 time: 0.2806 data_time: 0.0174 memory: 8198 grad_norm: 5.1602 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7843 loss: 1.7843 2022/08/02 22:05:52 - mmengine - INFO - Epoch(train) [52][1140/1879] lr: 1.0000e-02 eta: 1 day, 6:22:30 time: 0.2905 data_time: 0.0180 memory: 8198 grad_norm: 5.0433 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9070 loss: 1.9070 2022/08/02 22:05:58 - mmengine - INFO - Epoch(train) [52][1160/1879] lr: 1.0000e-02 eta: 1 day, 6:22:24 time: 0.2844 data_time: 0.0237 memory: 8198 grad_norm: 5.1107 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9916 loss: 1.9916 2022/08/02 22:06:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:06:03 - mmengine - INFO - Epoch(train) [52][1180/1879] lr: 1.0000e-02 eta: 1 day, 6:22:18 time: 0.2788 data_time: 0.0190 memory: 8198 grad_norm: 5.0339 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4173 loss: 1.4173 2022/08/02 22:06:09 - mmengine - INFO - Epoch(train) [52][1200/1879] lr: 1.0000e-02 eta: 1 day, 6:22:12 time: 0.2851 data_time: 0.0247 memory: 8198 grad_norm: 5.1490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7816 loss: 1.7816 2022/08/02 22:06:15 - mmengine - INFO - Epoch(train) [52][1220/1879] lr: 1.0000e-02 eta: 1 day, 6:22:06 time: 0.2804 data_time: 0.0212 memory: 8198 grad_norm: 5.2285 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7795 loss: 1.7795 2022/08/02 22:06:20 - mmengine - INFO - Epoch(train) [52][1240/1879] lr: 1.0000e-02 eta: 1 day, 6:22:00 time: 0.2775 data_time: 0.0222 memory: 8198 grad_norm: 5.2313 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6977 loss: 1.6977 2022/08/02 22:06:26 - mmengine - INFO - Epoch(train) [52][1260/1879] lr: 1.0000e-02 eta: 1 day, 6:21:54 time: 0.2837 data_time: 0.0238 memory: 8198 grad_norm: 5.0965 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7209 loss: 1.7209 2022/08/02 22:06:32 - mmengine - INFO - Epoch(train) [52][1280/1879] lr: 1.0000e-02 eta: 1 day, 6:21:49 time: 0.2887 data_time: 0.0276 memory: 8198 grad_norm: 5.0421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7218 loss: 1.7218 2022/08/02 22:06:37 - mmengine - INFO - Epoch(train) [52][1300/1879] lr: 1.0000e-02 eta: 1 day, 6:21:43 time: 0.2867 data_time: 0.0268 memory: 8198 grad_norm: 5.0409 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7305 loss: 1.7305 2022/08/02 22:06:43 - mmengine - INFO - Epoch(train) [52][1320/1879] lr: 1.0000e-02 eta: 1 day, 6:21:37 time: 0.2825 data_time: 0.0235 memory: 8198 grad_norm: 5.1302 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5704 loss: 1.5704 2022/08/02 22:06:49 - mmengine - INFO - Epoch(train) [52][1340/1879] lr: 1.0000e-02 eta: 1 day, 6:21:33 time: 0.2986 data_time: 0.0214 memory: 8198 grad_norm: 5.0284 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4484 loss: 1.4484 2022/08/02 22:06:55 - mmengine - INFO - Epoch(train) [52][1360/1879] lr: 1.0000e-02 eta: 1 day, 6:21:27 time: 0.2797 data_time: 0.0221 memory: 8198 grad_norm: 5.0771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6891 loss: 1.6891 2022/08/02 22:07:00 - mmengine - INFO - Epoch(train) [52][1380/1879] lr: 1.0000e-02 eta: 1 day, 6:21:21 time: 0.2804 data_time: 0.0199 memory: 8198 grad_norm: 5.0614 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/02 22:07:06 - mmengine - INFO - Epoch(train) [52][1400/1879] lr: 1.0000e-02 eta: 1 day, 6:21:15 time: 0.2798 data_time: 0.0203 memory: 8198 grad_norm: 5.0135 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8547 loss: 1.8547 2022/08/02 22:07:12 - mmengine - INFO - Epoch(train) [52][1420/1879] lr: 1.0000e-02 eta: 1 day, 6:21:10 time: 0.2932 data_time: 0.0244 memory: 8198 grad_norm: 4.9951 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6348 loss: 1.6348 2022/08/02 22:07:17 - mmengine - INFO - Epoch(train) [52][1440/1879] lr: 1.0000e-02 eta: 1 day, 6:21:04 time: 0.2835 data_time: 0.0247 memory: 8198 grad_norm: 5.0445 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6501 loss: 1.6501 2022/08/02 22:07:23 - mmengine - INFO - Epoch(train) [52][1460/1879] lr: 1.0000e-02 eta: 1 day, 6:20:58 time: 0.2817 data_time: 0.0238 memory: 8198 grad_norm: 5.0665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7472 loss: 1.7472 2022/08/02 22:07:29 - mmengine - INFO - Epoch(train) [52][1480/1879] lr: 1.0000e-02 eta: 1 day, 6:20:52 time: 0.2826 data_time: 0.0226 memory: 8198 grad_norm: 5.1637 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9409 loss: 1.9409 2022/08/02 22:07:34 - mmengine - INFO - Epoch(train) [52][1500/1879] lr: 1.0000e-02 eta: 1 day, 6:20:46 time: 0.2850 data_time: 0.0235 memory: 8198 grad_norm: 5.1554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6404 loss: 1.6404 2022/08/02 22:07:40 - mmengine - INFO - Epoch(train) [52][1520/1879] lr: 1.0000e-02 eta: 1 day, 6:20:40 time: 0.2832 data_time: 0.0282 memory: 8198 grad_norm: 5.1138 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8344 loss: 1.8344 2022/08/02 22:07:46 - mmengine - INFO - Epoch(train) [52][1540/1879] lr: 1.0000e-02 eta: 1 day, 6:20:34 time: 0.2808 data_time: 0.0240 memory: 8198 grad_norm: 5.0639 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6750 loss: 1.6750 2022/08/02 22:07:51 - mmengine - INFO - Epoch(train) [52][1560/1879] lr: 1.0000e-02 eta: 1 day, 6:20:29 time: 0.2843 data_time: 0.0224 memory: 8198 grad_norm: 5.1041 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7074 loss: 1.7074 2022/08/02 22:07:57 - mmengine - INFO - Epoch(train) [52][1580/1879] lr: 1.0000e-02 eta: 1 day, 6:20:23 time: 0.2898 data_time: 0.0230 memory: 8198 grad_norm: 5.0018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6454 loss: 1.6454 2022/08/02 22:08:03 - mmengine - INFO - Epoch(train) [52][1600/1879] lr: 1.0000e-02 eta: 1 day, 6:20:18 time: 0.2835 data_time: 0.0236 memory: 8198 grad_norm: 5.0525 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6773 loss: 1.6773 2022/08/02 22:08:09 - mmengine - INFO - Epoch(train) [52][1620/1879] lr: 1.0000e-02 eta: 1 day, 6:20:12 time: 0.2855 data_time: 0.0224 memory: 8198 grad_norm: 4.9967 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5485 loss: 1.5485 2022/08/02 22:08:14 - mmengine - INFO - Epoch(train) [52][1640/1879] lr: 1.0000e-02 eta: 1 day, 6:20:07 time: 0.2886 data_time: 0.0246 memory: 8198 grad_norm: 5.1541 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6521 loss: 1.6521 2022/08/02 22:08:20 - mmengine - INFO - Epoch(train) [52][1660/1879] lr: 1.0000e-02 eta: 1 day, 6:20:01 time: 0.2894 data_time: 0.0246 memory: 8198 grad_norm: 5.2596 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7485 loss: 1.7485 2022/08/02 22:08:26 - mmengine - INFO - Epoch(train) [52][1680/1879] lr: 1.0000e-02 eta: 1 day, 6:19:55 time: 0.2818 data_time: 0.0202 memory: 8198 grad_norm: 5.1942 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0660 loss: 2.0660 2022/08/02 22:08:31 - mmengine - INFO - Epoch(train) [52][1700/1879] lr: 1.0000e-02 eta: 1 day, 6:19:49 time: 0.2809 data_time: 0.0192 memory: 8198 grad_norm: 5.0840 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7200 loss: 1.7200 2022/08/02 22:08:37 - mmengine - INFO - Epoch(train) [52][1720/1879] lr: 1.0000e-02 eta: 1 day, 6:19:43 time: 0.2808 data_time: 0.0227 memory: 8198 grad_norm: 5.0538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6273 loss: 1.6273 2022/08/02 22:08:43 - mmengine - INFO - Epoch(train) [52][1740/1879] lr: 1.0000e-02 eta: 1 day, 6:19:37 time: 0.2818 data_time: 0.0225 memory: 8198 grad_norm: 5.1352 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6942 loss: 1.6942 2022/08/02 22:08:48 - mmengine - INFO - Epoch(train) [52][1760/1879] lr: 1.0000e-02 eta: 1 day, 6:19:31 time: 0.2811 data_time: 0.0270 memory: 8198 grad_norm: 5.1300 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8796 loss: 1.8796 2022/08/02 22:08:54 - mmengine - INFO - Epoch(train) [52][1780/1879] lr: 1.0000e-02 eta: 1 day, 6:19:26 time: 0.2820 data_time: 0.0223 memory: 8198 grad_norm: 5.2068 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6894 loss: 1.6894 2022/08/02 22:09:00 - mmengine - INFO - Epoch(train) [52][1800/1879] lr: 1.0000e-02 eta: 1 day, 6:19:20 time: 0.2810 data_time: 0.0227 memory: 8198 grad_norm: 5.2176 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6869 loss: 1.6869 2022/08/02 22:09:05 - mmengine - INFO - Epoch(train) [52][1820/1879] lr: 1.0000e-02 eta: 1 day, 6:19:14 time: 0.2856 data_time: 0.0261 memory: 8198 grad_norm: 5.2541 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8184 loss: 1.8184 2022/08/02 22:09:11 - mmengine - INFO - Epoch(train) [52][1840/1879] lr: 1.0000e-02 eta: 1 day, 6:19:08 time: 0.2837 data_time: 0.0256 memory: 8198 grad_norm: 5.1833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8160 loss: 1.8160 2022/08/02 22:09:17 - mmengine - INFO - Epoch(train) [52][1860/1879] lr: 1.0000e-02 eta: 1 day, 6:19:02 time: 0.2829 data_time: 0.0217 memory: 8198 grad_norm: 5.0900 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6206 loss: 1.6206 2022/08/02 22:09:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:09:22 - mmengine - INFO - Epoch(train) [52][1879/1879] lr: 1.0000e-02 eta: 1 day, 6:19:02 time: 0.2551 data_time: 0.0176 memory: 8198 grad_norm: 5.1432 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8411 loss: 1.8411 2022/08/02 22:09:22 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/08/02 22:09:31 - mmengine - INFO - Epoch(train) [53][20/1879] lr: 1.0000e-02 eta: 1 day, 6:18:37 time: 0.3713 data_time: 0.1039 memory: 8198 grad_norm: 5.0040 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8583 loss: 1.8583 2022/08/02 22:09:37 - mmengine - INFO - Epoch(train) [53][40/1879] lr: 1.0000e-02 eta: 1 day, 6:18:31 time: 0.2804 data_time: 0.0221 memory: 8198 grad_norm: 5.0001 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6878 loss: 1.6878 2022/08/02 22:09:43 - mmengine - INFO - Epoch(train) [53][60/1879] lr: 1.0000e-02 eta: 1 day, 6:18:26 time: 0.2904 data_time: 0.0286 memory: 8198 grad_norm: 5.0961 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/08/02 22:09:48 - mmengine - INFO - Epoch(train) [53][80/1879] lr: 1.0000e-02 eta: 1 day, 6:18:20 time: 0.2837 data_time: 0.0210 memory: 8198 grad_norm: 5.1340 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8056 loss: 1.8056 2022/08/02 22:09:54 - mmengine - INFO - Epoch(train) [53][100/1879] lr: 1.0000e-02 eta: 1 day, 6:18:14 time: 0.2819 data_time: 0.0276 memory: 8198 grad_norm: 5.0825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5822 loss: 1.5822 2022/08/02 22:10:00 - mmengine - INFO - Epoch(train) [53][120/1879] lr: 1.0000e-02 eta: 1 day, 6:18:08 time: 0.2891 data_time: 0.0258 memory: 8198 grad_norm: 5.0552 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9386 loss: 1.9386 2022/08/02 22:10:05 - mmengine - INFO - Epoch(train) [53][140/1879] lr: 1.0000e-02 eta: 1 day, 6:18:03 time: 0.2825 data_time: 0.0229 memory: 8198 grad_norm: 5.1767 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7780 loss: 1.7780 2022/08/02 22:10:11 - mmengine - INFO - Epoch(train) [53][160/1879] lr: 1.0000e-02 eta: 1 day, 6:17:57 time: 0.2817 data_time: 0.0247 memory: 8198 grad_norm: 5.3234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7210 loss: 1.7210 2022/08/02 22:10:17 - mmengine - INFO - Epoch(train) [53][180/1879] lr: 1.0000e-02 eta: 1 day, 6:17:51 time: 0.2822 data_time: 0.0261 memory: 8198 grad_norm: 5.0282 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5929 loss: 1.5929 2022/08/02 22:10:22 - mmengine - INFO - Epoch(train) [53][200/1879] lr: 1.0000e-02 eta: 1 day, 6:17:45 time: 0.2874 data_time: 0.0220 memory: 8198 grad_norm: 5.1253 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6736 loss: 1.6736 2022/08/02 22:10:28 - mmengine - INFO - Epoch(train) [53][220/1879] lr: 1.0000e-02 eta: 1 day, 6:17:40 time: 0.2853 data_time: 0.0258 memory: 8198 grad_norm: 5.0236 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6013 loss: 1.6013 2022/08/02 22:10:34 - mmengine - INFO - Epoch(train) [53][240/1879] lr: 1.0000e-02 eta: 1 day, 6:17:34 time: 0.2857 data_time: 0.0260 memory: 8198 grad_norm: 5.0823 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6155 loss: 1.6155 2022/08/02 22:10:40 - mmengine - INFO - Epoch(train) [53][260/1879] lr: 1.0000e-02 eta: 1 day, 6:17:29 time: 0.2943 data_time: 0.0215 memory: 8198 grad_norm: 5.2175 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7831 loss: 1.7831 2022/08/02 22:10:45 - mmengine - INFO - Epoch(train) [53][280/1879] lr: 1.0000e-02 eta: 1 day, 6:17:23 time: 0.2812 data_time: 0.0242 memory: 8198 grad_norm: 4.9327 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8094 loss: 1.8094 2022/08/02 22:10:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:10:51 - mmengine - INFO - Epoch(train) [53][300/1879] lr: 1.0000e-02 eta: 1 day, 6:17:17 time: 0.2816 data_time: 0.0225 memory: 8198 grad_norm: 4.9876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4758 loss: 1.4758 2022/08/02 22:10:57 - mmengine - INFO - Epoch(train) [53][320/1879] lr: 1.0000e-02 eta: 1 day, 6:17:12 time: 0.2886 data_time: 0.0221 memory: 8198 grad_norm: 4.9856 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7976 loss: 1.7976 2022/08/02 22:11:03 - mmengine - INFO - Epoch(train) [53][340/1879] lr: 1.0000e-02 eta: 1 day, 6:17:06 time: 0.2889 data_time: 0.0293 memory: 8198 grad_norm: 4.8883 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6865 loss: 1.6865 2022/08/02 22:11:08 - mmengine - INFO - Epoch(train) [53][360/1879] lr: 1.0000e-02 eta: 1 day, 6:17:01 time: 0.2814 data_time: 0.0222 memory: 8198 grad_norm: 5.1707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8880 loss: 1.8880 2022/08/02 22:11:14 - mmengine - INFO - Epoch(train) [53][380/1879] lr: 1.0000e-02 eta: 1 day, 6:16:55 time: 0.2822 data_time: 0.0247 memory: 8198 grad_norm: 5.1462 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7759 loss: 1.7759 2022/08/02 22:11:20 - mmengine - INFO - Epoch(train) [53][400/1879] lr: 1.0000e-02 eta: 1 day, 6:16:50 time: 0.2920 data_time: 0.0202 memory: 8198 grad_norm: 5.2250 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6455 loss: 1.6455 2022/08/02 22:11:25 - mmengine - INFO - Epoch(train) [53][420/1879] lr: 1.0000e-02 eta: 1 day, 6:16:44 time: 0.2815 data_time: 0.0279 memory: 8198 grad_norm: 5.0402 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6197 loss: 1.6197 2022/08/02 22:11:31 - mmengine - INFO - Epoch(train) [53][440/1879] lr: 1.0000e-02 eta: 1 day, 6:16:38 time: 0.2855 data_time: 0.0246 memory: 8198 grad_norm: 5.1006 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4161 loss: 1.4161 2022/08/02 22:11:37 - mmengine - INFO - Epoch(train) [53][460/1879] lr: 1.0000e-02 eta: 1 day, 6:16:32 time: 0.2847 data_time: 0.0256 memory: 8198 grad_norm: 5.0639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7357 loss: 1.7357 2022/08/02 22:11:42 - mmengine - INFO - Epoch(train) [53][480/1879] lr: 1.0000e-02 eta: 1 day, 6:16:26 time: 0.2812 data_time: 0.0186 memory: 8198 grad_norm: 5.2862 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8410 loss: 1.8410 2022/08/02 22:11:48 - mmengine - INFO - Epoch(train) [53][500/1879] lr: 1.0000e-02 eta: 1 day, 6:16:21 time: 0.2857 data_time: 0.0258 memory: 8198 grad_norm: 5.1531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6532 loss: 1.6532 2022/08/02 22:11:54 - mmengine - INFO - Epoch(train) [53][520/1879] lr: 1.0000e-02 eta: 1 day, 6:16:15 time: 0.2813 data_time: 0.0222 memory: 8198 grad_norm: 5.0351 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8539 loss: 1.8539 2022/08/02 22:12:00 - mmengine - INFO - Epoch(train) [53][540/1879] lr: 1.0000e-02 eta: 1 day, 6:16:09 time: 0.2866 data_time: 0.0212 memory: 8198 grad_norm: 5.1248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7638 loss: 1.7638 2022/08/02 22:12:05 - mmengine - INFO - Epoch(train) [53][560/1879] lr: 1.0000e-02 eta: 1 day, 6:16:03 time: 0.2797 data_time: 0.0211 memory: 8198 grad_norm: 5.1531 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8240 loss: 1.8240 2022/08/02 22:12:11 - mmengine - INFO - Epoch(train) [53][580/1879] lr: 1.0000e-02 eta: 1 day, 6:15:57 time: 0.2829 data_time: 0.0209 memory: 8198 grad_norm: 5.2073 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8739 loss: 1.8739 2022/08/02 22:12:17 - mmengine - INFO - Epoch(train) [53][600/1879] lr: 1.0000e-02 eta: 1 day, 6:15:51 time: 0.2823 data_time: 0.0202 memory: 8198 grad_norm: 5.2943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8444 loss: 1.8444 2022/08/02 22:12:22 - mmengine - INFO - Epoch(train) [53][620/1879] lr: 1.0000e-02 eta: 1 day, 6:15:46 time: 0.2874 data_time: 0.0272 memory: 8198 grad_norm: 5.1557 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6768 loss: 1.6768 2022/08/02 22:12:28 - mmengine - INFO - Epoch(train) [53][640/1879] lr: 1.0000e-02 eta: 1 day, 6:15:40 time: 0.2816 data_time: 0.0223 memory: 8198 grad_norm: 5.2654 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8879 loss: 1.8879 2022/08/02 22:12:34 - mmengine - INFO - Epoch(train) [53][660/1879] lr: 1.0000e-02 eta: 1 day, 6:15:34 time: 0.2844 data_time: 0.0236 memory: 8198 grad_norm: 5.2503 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0487 loss: 2.0487 2022/08/02 22:12:39 - mmengine - INFO - Epoch(train) [53][680/1879] lr: 1.0000e-02 eta: 1 day, 6:15:28 time: 0.2828 data_time: 0.0254 memory: 8198 grad_norm: 5.1696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7464 loss: 1.7464 2022/08/02 22:12:45 - mmengine - INFO - Epoch(train) [53][700/1879] lr: 1.0000e-02 eta: 1 day, 6:15:23 time: 0.2827 data_time: 0.0252 memory: 8198 grad_norm: 5.1760 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8525 loss: 1.8525 2022/08/02 22:12:51 - mmengine - INFO - Epoch(train) [53][720/1879] lr: 1.0000e-02 eta: 1 day, 6:15:17 time: 0.2904 data_time: 0.0196 memory: 8198 grad_norm: 5.1923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6960 loss: 1.6960 2022/08/02 22:12:56 - mmengine - INFO - Epoch(train) [53][740/1879] lr: 1.0000e-02 eta: 1 day, 6:15:12 time: 0.2844 data_time: 0.0258 memory: 8198 grad_norm: 5.2023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/08/02 22:13:02 - mmengine - INFO - Epoch(train) [53][760/1879] lr: 1.0000e-02 eta: 1 day, 6:15:06 time: 0.2806 data_time: 0.0198 memory: 8198 grad_norm: 5.0999 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7483 loss: 1.7483 2022/08/02 22:13:08 - mmengine - INFO - Epoch(train) [53][780/1879] lr: 1.0000e-02 eta: 1 day, 6:15:01 time: 0.2945 data_time: 0.0320 memory: 8198 grad_norm: 5.2302 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8157 loss: 1.8157 2022/08/02 22:13:14 - mmengine - INFO - Epoch(train) [53][800/1879] lr: 1.0000e-02 eta: 1 day, 6:14:55 time: 0.2800 data_time: 0.0243 memory: 8198 grad_norm: 5.1721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6795 loss: 1.6795 2022/08/02 22:13:19 - mmengine - INFO - Epoch(train) [53][820/1879] lr: 1.0000e-02 eta: 1 day, 6:14:49 time: 0.2883 data_time: 0.0251 memory: 8198 grad_norm: 5.2446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7221 loss: 1.7221 2022/08/02 22:13:25 - mmengine - INFO - Epoch(train) [53][840/1879] lr: 1.0000e-02 eta: 1 day, 6:14:43 time: 0.2839 data_time: 0.0233 memory: 8198 grad_norm: 5.0642 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9888 loss: 1.9888 2022/08/02 22:13:31 - mmengine - INFO - Epoch(train) [53][860/1879] lr: 1.0000e-02 eta: 1 day, 6:14:38 time: 0.2845 data_time: 0.0277 memory: 8198 grad_norm: 5.0197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6834 loss: 1.6834 2022/08/02 22:13:36 - mmengine - INFO - Epoch(train) [53][880/1879] lr: 1.0000e-02 eta: 1 day, 6:14:32 time: 0.2804 data_time: 0.0231 memory: 8198 grad_norm: 5.2175 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8010 loss: 1.8010 2022/08/02 22:13:42 - mmengine - INFO - Epoch(train) [53][900/1879] lr: 1.0000e-02 eta: 1 day, 6:14:27 time: 0.2916 data_time: 0.0232 memory: 8198 grad_norm: 5.1299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6916 loss: 1.6916 2022/08/02 22:13:48 - mmengine - INFO - Epoch(train) [53][920/1879] lr: 1.0000e-02 eta: 1 day, 6:14:21 time: 0.2842 data_time: 0.0242 memory: 8198 grad_norm: 5.1545 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8017 loss: 1.8017 2022/08/02 22:13:54 - mmengine - INFO - Epoch(train) [53][940/1879] lr: 1.0000e-02 eta: 1 day, 6:14:15 time: 0.2868 data_time: 0.0300 memory: 8198 grad_norm: 5.1236 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8758 loss: 1.8758 2022/08/02 22:13:59 - mmengine - INFO - Epoch(train) [53][960/1879] lr: 1.0000e-02 eta: 1 day, 6:14:09 time: 0.2812 data_time: 0.0246 memory: 8198 grad_norm: 5.2737 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6025 loss: 1.6025 2022/08/02 22:14:05 - mmengine - INFO - Epoch(train) [53][980/1879] lr: 1.0000e-02 eta: 1 day, 6:14:04 time: 0.2843 data_time: 0.0292 memory: 8198 grad_norm: 5.1529 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7129 loss: 1.7129 2022/08/02 22:14:11 - mmengine - INFO - Epoch(train) [53][1000/1879] lr: 1.0000e-02 eta: 1 day, 6:13:58 time: 0.2805 data_time: 0.0221 memory: 8198 grad_norm: 5.0066 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6863 loss: 1.6863 2022/08/02 22:14:16 - mmengine - INFO - Epoch(train) [53][1020/1879] lr: 1.0000e-02 eta: 1 day, 6:13:52 time: 0.2823 data_time: 0.0251 memory: 8198 grad_norm: 5.2161 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7714 loss: 1.7714 2022/08/02 22:14:22 - mmengine - INFO - Epoch(train) [53][1040/1879] lr: 1.0000e-02 eta: 1 day, 6:13:46 time: 0.2823 data_time: 0.0211 memory: 8198 grad_norm: 4.9560 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6085 loss: 1.6085 2022/08/02 22:14:28 - mmengine - INFO - Epoch(train) [53][1060/1879] lr: 1.0000e-02 eta: 1 day, 6:13:40 time: 0.2821 data_time: 0.0253 memory: 8198 grad_norm: 5.1116 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7063 loss: 1.7063 2022/08/02 22:14:33 - mmengine - INFO - Epoch(train) [53][1080/1879] lr: 1.0000e-02 eta: 1 day, 6:13:34 time: 0.2819 data_time: 0.0190 memory: 8198 grad_norm: 5.0116 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7598 loss: 1.7598 2022/08/02 22:14:39 - mmengine - INFO - Epoch(train) [53][1100/1879] lr: 1.0000e-02 eta: 1 day, 6:13:28 time: 0.2869 data_time: 0.0250 memory: 8198 grad_norm: 5.3352 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9728 loss: 1.9728 2022/08/02 22:14:45 - mmengine - INFO - Epoch(train) [53][1120/1879] lr: 1.0000e-02 eta: 1 day, 6:13:22 time: 0.2804 data_time: 0.0203 memory: 8198 grad_norm: 5.0385 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5763 loss: 1.5763 2022/08/02 22:14:51 - mmengine - INFO - Epoch(train) [53][1140/1879] lr: 1.0000e-02 eta: 1 day, 6:13:17 time: 0.2888 data_time: 0.0216 memory: 8198 grad_norm: 5.0396 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7709 loss: 1.7709 2022/08/02 22:14:56 - mmengine - INFO - Epoch(train) [53][1160/1879] lr: 1.0000e-02 eta: 1 day, 6:13:12 time: 0.2880 data_time: 0.0302 memory: 8198 grad_norm: 5.0487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8436 loss: 1.8436 2022/08/02 22:15:02 - mmengine - INFO - Epoch(train) [53][1180/1879] lr: 1.0000e-02 eta: 1 day, 6:13:06 time: 0.2896 data_time: 0.0259 memory: 8198 grad_norm: 5.1363 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7233 loss: 1.7233 2022/08/02 22:15:08 - mmengine - INFO - Epoch(train) [53][1200/1879] lr: 1.0000e-02 eta: 1 day, 6:13:01 time: 0.2909 data_time: 0.0234 memory: 8198 grad_norm: 5.1095 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7027 loss: 1.7027 2022/08/02 22:15:13 - mmengine - INFO - Epoch(train) [53][1220/1879] lr: 1.0000e-02 eta: 1 day, 6:12:55 time: 0.2843 data_time: 0.0267 memory: 8198 grad_norm: 5.2369 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7551 loss: 1.7551 2022/08/02 22:15:19 - mmengine - INFO - Epoch(train) [53][1240/1879] lr: 1.0000e-02 eta: 1 day, 6:12:51 time: 0.2983 data_time: 0.0235 memory: 8198 grad_norm: 5.0912 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7630 loss: 1.7630 2022/08/02 22:15:25 - mmengine - INFO - Epoch(train) [53][1260/1879] lr: 1.0000e-02 eta: 1 day, 6:12:45 time: 0.2773 data_time: 0.0207 memory: 8198 grad_norm: 5.0487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7151 loss: 1.7151 2022/08/02 22:15:31 - mmengine - INFO - Epoch(train) [53][1280/1879] lr: 1.0000e-02 eta: 1 day, 6:12:39 time: 0.2814 data_time: 0.0228 memory: 8198 grad_norm: 5.0908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7941 loss: 1.7941 2022/08/02 22:15:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:15:36 - mmengine - INFO - Epoch(train) [53][1300/1879] lr: 1.0000e-02 eta: 1 day, 6:12:33 time: 0.2835 data_time: 0.0236 memory: 8198 grad_norm: 5.0225 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8936 loss: 1.8936 2022/08/02 22:15:42 - mmengine - INFO - Epoch(train) [53][1320/1879] lr: 1.0000e-02 eta: 1 day, 6:12:28 time: 0.2923 data_time: 0.0192 memory: 8198 grad_norm: 5.1761 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8010 loss: 1.8010 2022/08/02 22:15:48 - mmengine - INFO - Epoch(train) [53][1340/1879] lr: 1.0000e-02 eta: 1 day, 6:12:22 time: 0.2854 data_time: 0.0237 memory: 8198 grad_norm: 5.2718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8128 loss: 1.8128 2022/08/02 22:15:54 - mmengine - INFO - Epoch(train) [53][1360/1879] lr: 1.0000e-02 eta: 1 day, 6:12:16 time: 0.2839 data_time: 0.0203 memory: 8198 grad_norm: 5.0478 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7982 loss: 1.7982 2022/08/02 22:16:00 - mmengine - INFO - Epoch(train) [53][1380/1879] lr: 1.0000e-02 eta: 1 day, 6:12:12 time: 0.2978 data_time: 0.0254 memory: 8198 grad_norm: 5.3117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7451 loss: 1.7451 2022/08/02 22:16:05 - mmengine - INFO - Epoch(train) [53][1400/1879] lr: 1.0000e-02 eta: 1 day, 6:12:05 time: 0.2793 data_time: 0.0233 memory: 8198 grad_norm: 5.1739 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8014 loss: 1.8014 2022/08/02 22:16:11 - mmengine - INFO - Epoch(train) [53][1420/1879] lr: 1.0000e-02 eta: 1 day, 6:12:00 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 5.2651 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6259 loss: 1.6259 2022/08/02 22:16:17 - mmengine - INFO - Epoch(train) [53][1440/1879] lr: 1.0000e-02 eta: 1 day, 6:11:54 time: 0.2850 data_time: 0.0240 memory: 8198 grad_norm: 5.1498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6105 loss: 1.6105 2022/08/02 22:16:22 - mmengine - INFO - Epoch(train) [53][1460/1879] lr: 1.0000e-02 eta: 1 day, 6:11:49 time: 0.2866 data_time: 0.0232 memory: 8198 grad_norm: 5.2610 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7770 loss: 1.7770 2022/08/02 22:16:28 - mmengine - INFO - Epoch(train) [53][1480/1879] lr: 1.0000e-02 eta: 1 day, 6:11:42 time: 0.2797 data_time: 0.0193 memory: 8198 grad_norm: 5.0114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6385 loss: 1.6385 2022/08/02 22:16:34 - mmengine - INFO - Epoch(train) [53][1500/1879] lr: 1.0000e-02 eta: 1 day, 6:11:37 time: 0.2844 data_time: 0.0255 memory: 8198 grad_norm: 5.0488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4919 loss: 1.4919 2022/08/02 22:16:39 - mmengine - INFO - Epoch(train) [53][1520/1879] lr: 1.0000e-02 eta: 1 day, 6:11:32 time: 0.2906 data_time: 0.0220 memory: 8198 grad_norm: 5.2420 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8377 loss: 1.8377 2022/08/02 22:16:45 - mmengine - INFO - Epoch(train) [53][1540/1879] lr: 1.0000e-02 eta: 1 day, 6:11:26 time: 0.2818 data_time: 0.0213 memory: 8198 grad_norm: 5.1839 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7979 loss: 1.7979 2022/08/02 22:16:51 - mmengine - INFO - Epoch(train) [53][1560/1879] lr: 1.0000e-02 eta: 1 day, 6:11:20 time: 0.2908 data_time: 0.0218 memory: 8198 grad_norm: 5.1226 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8660 loss: 1.8660 2022/08/02 22:16:57 - mmengine - INFO - Epoch(train) [53][1580/1879] lr: 1.0000e-02 eta: 1 day, 6:11:15 time: 0.2852 data_time: 0.0237 memory: 8198 grad_norm: 5.0573 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6700 loss: 1.6700 2022/08/02 22:17:02 - mmengine - INFO - Epoch(train) [53][1600/1879] lr: 1.0000e-02 eta: 1 day, 6:11:09 time: 0.2824 data_time: 0.0205 memory: 8198 grad_norm: 5.1255 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5997 loss: 1.5997 2022/08/02 22:17:08 - mmengine - INFO - Epoch(train) [53][1620/1879] lr: 1.0000e-02 eta: 1 day, 6:11:04 time: 0.2890 data_time: 0.0234 memory: 8198 grad_norm: 4.9493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6803 loss: 1.6803 2022/08/02 22:17:14 - mmengine - INFO - Epoch(train) [53][1640/1879] lr: 1.0000e-02 eta: 1 day, 6:10:58 time: 0.2852 data_time: 0.0252 memory: 8198 grad_norm: 5.0791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7065 loss: 1.7065 2022/08/02 22:17:20 - mmengine - INFO - Epoch(train) [53][1660/1879] lr: 1.0000e-02 eta: 1 day, 6:10:53 time: 0.2899 data_time: 0.0216 memory: 8198 grad_norm: 5.0816 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7495 loss: 1.7495 2022/08/02 22:17:25 - mmengine - INFO - Epoch(train) [53][1680/1879] lr: 1.0000e-02 eta: 1 day, 6:10:47 time: 0.2842 data_time: 0.0211 memory: 8198 grad_norm: 4.9887 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7653 loss: 1.7653 2022/08/02 22:17:31 - mmengine - INFO - Epoch(train) [53][1700/1879] lr: 1.0000e-02 eta: 1 day, 6:10:42 time: 0.2971 data_time: 0.0272 memory: 8198 grad_norm: 4.9893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6873 loss: 1.6873 2022/08/02 22:17:37 - mmengine - INFO - Epoch(train) [53][1720/1879] lr: 1.0000e-02 eta: 1 day, 6:10:36 time: 0.2821 data_time: 0.0245 memory: 8198 grad_norm: 4.9920 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5754 loss: 1.5754 2022/08/02 22:17:43 - mmengine - INFO - Epoch(train) [53][1740/1879] lr: 1.0000e-02 eta: 1 day, 6:10:31 time: 0.2863 data_time: 0.0237 memory: 8198 grad_norm: 5.0919 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6391 loss: 1.6391 2022/08/02 22:17:48 - mmengine - INFO - Epoch(train) [53][1760/1879] lr: 1.0000e-02 eta: 1 day, 6:10:25 time: 0.2893 data_time: 0.0191 memory: 8198 grad_norm: 5.1033 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7192 loss: 1.7192 2022/08/02 22:17:54 - mmengine - INFO - Epoch(train) [53][1780/1879] lr: 1.0000e-02 eta: 1 day, 6:10:19 time: 0.2813 data_time: 0.0203 memory: 8198 grad_norm: 5.1208 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7978 loss: 1.7978 2022/08/02 22:18:00 - mmengine - INFO - Epoch(train) [53][1800/1879] lr: 1.0000e-02 eta: 1 day, 6:10:13 time: 0.2809 data_time: 0.0214 memory: 8198 grad_norm: 5.1054 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8255 loss: 1.8255 2022/08/02 22:18:05 - mmengine - INFO - Epoch(train) [53][1820/1879] lr: 1.0000e-02 eta: 1 day, 6:10:07 time: 0.2814 data_time: 0.0261 memory: 8198 grad_norm: 5.2751 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6652 loss: 1.6652 2022/08/02 22:18:11 - mmengine - INFO - Epoch(train) [53][1840/1879] lr: 1.0000e-02 eta: 1 day, 6:10:02 time: 0.2857 data_time: 0.0228 memory: 8198 grad_norm: 5.0827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7494 loss: 1.7494 2022/08/02 22:18:17 - mmengine - INFO - Epoch(train) [53][1860/1879] lr: 1.0000e-02 eta: 1 day, 6:09:56 time: 0.2824 data_time: 0.0298 memory: 8198 grad_norm: 5.1439 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9084 loss: 1.9084 2022/08/02 22:18:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:18:21 - mmengine - INFO - Epoch(train) [53][1879/1879] lr: 1.0000e-02 eta: 1 day, 6:09:56 time: 0.2530 data_time: 0.0135 memory: 8198 grad_norm: 5.1712 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8041 loss: 1.8041 2022/08/02 22:18:29 - mmengine - INFO - Epoch(train) [54][20/1879] lr: 1.0000e-02 eta: 1 day, 6:09:33 time: 0.3955 data_time: 0.1021 memory: 8198 grad_norm: 5.1364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/08/02 22:18:35 - mmengine - INFO - Epoch(train) [54][40/1879] lr: 1.0000e-02 eta: 1 day, 6:09:27 time: 0.2824 data_time: 0.0197 memory: 8198 grad_norm: 4.9885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8845 loss: 1.8845 2022/08/02 22:18:41 - mmengine - INFO - Epoch(train) [54][60/1879] lr: 1.0000e-02 eta: 1 day, 6:09:22 time: 0.2947 data_time: 0.0253 memory: 8198 grad_norm: 5.0210 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7299 loss: 1.7299 2022/08/02 22:18:47 - mmengine - INFO - Epoch(train) [54][80/1879] lr: 1.0000e-02 eta: 1 day, 6:09:16 time: 0.2841 data_time: 0.0240 memory: 8198 grad_norm: 5.1744 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7101 loss: 1.7101 2022/08/02 22:18:53 - mmengine - INFO - Epoch(train) [54][100/1879] lr: 1.0000e-02 eta: 1 day, 6:09:11 time: 0.2930 data_time: 0.0296 memory: 8198 grad_norm: 5.1008 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5634 loss: 1.5634 2022/08/02 22:18:59 - mmengine - INFO - Epoch(train) [54][120/1879] lr: 1.0000e-02 eta: 1 day, 6:09:07 time: 0.3014 data_time: 0.0190 memory: 8198 grad_norm: 4.9883 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4435 loss: 1.4435 2022/08/02 22:19:04 - mmengine - INFO - Epoch(train) [54][140/1879] lr: 1.0000e-02 eta: 1 day, 6:09:01 time: 0.2827 data_time: 0.0225 memory: 8198 grad_norm: 5.0772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5991 loss: 1.5991 2022/08/02 22:19:10 - mmengine - INFO - Epoch(train) [54][160/1879] lr: 1.0000e-02 eta: 1 day, 6:08:55 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 5.0278 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9077 loss: 1.9077 2022/08/02 22:19:16 - mmengine - INFO - Epoch(train) [54][180/1879] lr: 1.0000e-02 eta: 1 day, 6:08:49 time: 0.2820 data_time: 0.0246 memory: 8198 grad_norm: 5.1838 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6316 loss: 1.6316 2022/08/02 22:19:21 - mmengine - INFO - Epoch(train) [54][200/1879] lr: 1.0000e-02 eta: 1 day, 6:08:43 time: 0.2848 data_time: 0.0209 memory: 8198 grad_norm: 5.1558 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8298 loss: 1.8298 2022/08/02 22:19:27 - mmengine - INFO - Epoch(train) [54][220/1879] lr: 1.0000e-02 eta: 1 day, 6:08:38 time: 0.2853 data_time: 0.0308 memory: 8198 grad_norm: 5.0360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7651 loss: 1.7651 2022/08/02 22:19:33 - mmengine - INFO - Epoch(train) [54][240/1879] lr: 1.0000e-02 eta: 1 day, 6:08:32 time: 0.2858 data_time: 0.0203 memory: 8198 grad_norm: 5.2277 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7246 loss: 1.7246 2022/08/02 22:19:38 - mmengine - INFO - Epoch(train) [54][260/1879] lr: 1.0000e-02 eta: 1 day, 6:08:26 time: 0.2845 data_time: 0.0253 memory: 8198 grad_norm: 5.1370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5362 loss: 1.5362 2022/08/02 22:19:44 - mmengine - INFO - Epoch(train) [54][280/1879] lr: 1.0000e-02 eta: 1 day, 6:08:21 time: 0.2861 data_time: 0.0271 memory: 8198 grad_norm: 5.2164 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5763 loss: 1.5763 2022/08/02 22:19:50 - mmengine - INFO - Epoch(train) [54][300/1879] lr: 1.0000e-02 eta: 1 day, 6:08:15 time: 0.2842 data_time: 0.0247 memory: 8198 grad_norm: 5.2053 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7920 loss: 1.7920 2022/08/02 22:19:56 - mmengine - INFO - Epoch(train) [54][320/1879] lr: 1.0000e-02 eta: 1 day, 6:08:09 time: 0.2812 data_time: 0.0227 memory: 8198 grad_norm: 5.1091 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9863 loss: 1.9863 2022/08/02 22:20:01 - mmengine - INFO - Epoch(train) [54][340/1879] lr: 1.0000e-02 eta: 1 day, 6:08:04 time: 0.2880 data_time: 0.0216 memory: 8198 grad_norm: 5.0286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8069 loss: 1.8069 2022/08/02 22:20:07 - mmengine - INFO - Epoch(train) [54][360/1879] lr: 1.0000e-02 eta: 1 day, 6:07:58 time: 0.2808 data_time: 0.0275 memory: 8198 grad_norm: 4.9809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6237 loss: 1.6237 2022/08/02 22:20:13 - mmengine - INFO - Epoch(train) [54][380/1879] lr: 1.0000e-02 eta: 1 day, 6:07:52 time: 0.2854 data_time: 0.0222 memory: 8198 grad_norm: 5.1321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8018 loss: 1.8018 2022/08/02 22:20:18 - mmengine - INFO - Epoch(train) [54][400/1879] lr: 1.0000e-02 eta: 1 day, 6:07:47 time: 0.2922 data_time: 0.0204 memory: 8198 grad_norm: 5.1152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7299 loss: 1.7299 2022/08/02 22:20:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:20:24 - mmengine - INFO - Epoch(train) [54][420/1879] lr: 1.0000e-02 eta: 1 day, 6:07:41 time: 0.2804 data_time: 0.0242 memory: 8198 grad_norm: 5.1730 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7309 loss: 1.7309 2022/08/02 22:20:30 - mmengine - INFO - Epoch(train) [54][440/1879] lr: 1.0000e-02 eta: 1 day, 6:07:36 time: 0.2965 data_time: 0.0231 memory: 8198 grad_norm: 5.0032 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.8119 loss: 1.8119 2022/08/02 22:20:36 - mmengine - INFO - Epoch(train) [54][460/1879] lr: 1.0000e-02 eta: 1 day, 6:07:30 time: 0.2819 data_time: 0.0228 memory: 8198 grad_norm: 5.2681 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6468 loss: 1.6468 2022/08/02 22:20:42 - mmengine - INFO - Epoch(train) [54][480/1879] lr: 1.0000e-02 eta: 1 day, 6:07:25 time: 0.2902 data_time: 0.0209 memory: 8198 grad_norm: 5.2108 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7115 loss: 1.7115 2022/08/02 22:20:47 - mmengine - INFO - Epoch(train) [54][500/1879] lr: 1.0000e-02 eta: 1 day, 6:07:19 time: 0.2805 data_time: 0.0241 memory: 8198 grad_norm: 5.1517 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6873 loss: 1.6873 2022/08/02 22:20:53 - mmengine - INFO - Epoch(train) [54][520/1879] lr: 1.0000e-02 eta: 1 day, 6:07:13 time: 0.2823 data_time: 0.0245 memory: 8198 grad_norm: 5.2417 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5666 loss: 1.5666 2022/08/02 22:20:59 - mmengine - INFO - Epoch(train) [54][540/1879] lr: 1.0000e-02 eta: 1 day, 6:07:09 time: 0.3083 data_time: 0.0211 memory: 8198 grad_norm: 5.2181 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8001 loss: 1.8001 2022/08/02 22:21:05 - mmengine - INFO - Epoch(train) [54][560/1879] lr: 1.0000e-02 eta: 1 day, 6:07:03 time: 0.2833 data_time: 0.0222 memory: 8198 grad_norm: 4.9998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6076 loss: 1.6076 2022/08/02 22:21:10 - mmengine - INFO - Epoch(train) [54][580/1879] lr: 1.0000e-02 eta: 1 day, 6:06:58 time: 0.2825 data_time: 0.0230 memory: 8198 grad_norm: 5.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6963 loss: 1.6963 2022/08/02 22:21:16 - mmengine - INFO - Epoch(train) [54][600/1879] lr: 1.0000e-02 eta: 1 day, 6:06:52 time: 0.2808 data_time: 0.0206 memory: 8198 grad_norm: 5.1770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7034 loss: 1.7034 2022/08/02 22:21:22 - mmengine - INFO - Epoch(train) [54][620/1879] lr: 1.0000e-02 eta: 1 day, 6:06:47 time: 0.2931 data_time: 0.0239 memory: 8198 grad_norm: 5.1494 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8216 loss: 1.8216 2022/08/02 22:21:28 - mmengine - INFO - Epoch(train) [54][640/1879] lr: 1.0000e-02 eta: 1 day, 6:06:41 time: 0.2879 data_time: 0.0232 memory: 8198 grad_norm: 5.0945 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8687 loss: 1.8687 2022/08/02 22:21:33 - mmengine - INFO - Epoch(train) [54][660/1879] lr: 1.0000e-02 eta: 1 day, 6:06:36 time: 0.2857 data_time: 0.0283 memory: 8198 grad_norm: 5.1176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/08/02 22:21:39 - mmengine - INFO - Epoch(train) [54][680/1879] lr: 1.0000e-02 eta: 1 day, 6:06:31 time: 0.2974 data_time: 0.0201 memory: 8198 grad_norm: 5.1074 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6680 loss: 1.6680 2022/08/02 22:21:45 - mmengine - INFO - Epoch(train) [54][700/1879] lr: 1.0000e-02 eta: 1 day, 6:06:25 time: 0.2778 data_time: 0.0220 memory: 8198 grad_norm: 5.1315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8870 loss: 1.8870 2022/08/02 22:21:50 - mmengine - INFO - Epoch(train) [54][720/1879] lr: 1.0000e-02 eta: 1 day, 6:06:19 time: 0.2825 data_time: 0.0245 memory: 8198 grad_norm: 5.2130 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9245 loss: 1.9245 2022/08/02 22:21:56 - mmengine - INFO - Epoch(train) [54][740/1879] lr: 1.0000e-02 eta: 1 day, 6:06:14 time: 0.2916 data_time: 0.0284 memory: 8198 grad_norm: 5.1088 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7433 loss: 1.7433 2022/08/02 22:22:02 - mmengine - INFO - Epoch(train) [54][760/1879] lr: 1.0000e-02 eta: 1 day, 6:06:08 time: 0.2856 data_time: 0.0213 memory: 8198 grad_norm: 5.1948 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8333 loss: 1.8333 2022/08/02 22:22:08 - mmengine - INFO - Epoch(train) [54][780/1879] lr: 1.0000e-02 eta: 1 day, 6:06:02 time: 0.2814 data_time: 0.0215 memory: 8198 grad_norm: 5.2548 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8899 loss: 1.8899 2022/08/02 22:22:13 - mmengine - INFO - Epoch(train) [54][800/1879] lr: 1.0000e-02 eta: 1 day, 6:05:56 time: 0.2840 data_time: 0.0204 memory: 8198 grad_norm: 5.2093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7741 loss: 1.7741 2022/08/02 22:22:19 - mmengine - INFO - Epoch(train) [54][820/1879] lr: 1.0000e-02 eta: 1 day, 6:05:51 time: 0.2855 data_time: 0.0243 memory: 8198 grad_norm: 5.1616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6562 loss: 1.6562 2022/08/02 22:22:25 - mmengine - INFO - Epoch(train) [54][840/1879] lr: 1.0000e-02 eta: 1 day, 6:05:45 time: 0.2833 data_time: 0.0279 memory: 8198 grad_norm: 5.0769 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5917 loss: 1.5917 2022/08/02 22:22:30 - mmengine - INFO - Epoch(train) [54][860/1879] lr: 1.0000e-02 eta: 1 day, 6:05:39 time: 0.2826 data_time: 0.0210 memory: 8198 grad_norm: 5.1482 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0067 loss: 2.0067 2022/08/02 22:22:36 - mmengine - INFO - Epoch(train) [54][880/1879] lr: 1.0000e-02 eta: 1 day, 6:05:33 time: 0.2792 data_time: 0.0198 memory: 8198 grad_norm: 5.1980 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8680 loss: 1.8680 2022/08/02 22:22:42 - mmengine - INFO - Epoch(train) [54][900/1879] lr: 1.0000e-02 eta: 1 day, 6:05:27 time: 0.2860 data_time: 0.0269 memory: 8198 grad_norm: 5.1565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7311 loss: 1.7311 2022/08/02 22:22:47 - mmengine - INFO - Epoch(train) [54][920/1879] lr: 1.0000e-02 eta: 1 day, 6:05:21 time: 0.2831 data_time: 0.0222 memory: 8198 grad_norm: 4.9725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6864 loss: 1.6864 2022/08/02 22:22:53 - mmengine - INFO - Epoch(train) [54][940/1879] lr: 1.0000e-02 eta: 1 day, 6:05:16 time: 0.2836 data_time: 0.0236 memory: 8198 grad_norm: 5.2084 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5673 loss: 1.5673 2022/08/02 22:22:59 - mmengine - INFO - Epoch(train) [54][960/1879] lr: 1.0000e-02 eta: 1 day, 6:05:10 time: 0.2842 data_time: 0.0224 memory: 8198 grad_norm: 5.1143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6754 loss: 1.6754 2022/08/02 22:23:05 - mmengine - INFO - Epoch(train) [54][980/1879] lr: 1.0000e-02 eta: 1 day, 6:05:05 time: 0.2879 data_time: 0.0266 memory: 8198 grad_norm: 5.1460 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8199 loss: 1.8199 2022/08/02 22:23:10 - mmengine - INFO - Epoch(train) [54][1000/1879] lr: 1.0000e-02 eta: 1 day, 6:04:59 time: 0.2833 data_time: 0.0253 memory: 8198 grad_norm: 5.1503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7202 loss: 1.7202 2022/08/02 22:23:16 - mmengine - INFO - Epoch(train) [54][1020/1879] lr: 1.0000e-02 eta: 1 day, 6:04:53 time: 0.2817 data_time: 0.0230 memory: 8198 grad_norm: 5.2207 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8494 loss: 1.8494 2022/08/02 22:23:22 - mmengine - INFO - Epoch(train) [54][1040/1879] lr: 1.0000e-02 eta: 1 day, 6:04:47 time: 0.2837 data_time: 0.0210 memory: 8198 grad_norm: 4.9389 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6955 loss: 1.6955 2022/08/02 22:23:27 - mmengine - INFO - Epoch(train) [54][1060/1879] lr: 1.0000e-02 eta: 1 day, 6:04:41 time: 0.2816 data_time: 0.0238 memory: 8198 grad_norm: 5.0462 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6281 loss: 1.6281 2022/08/02 22:23:33 - mmengine - INFO - Epoch(train) [54][1080/1879] lr: 1.0000e-02 eta: 1 day, 6:04:35 time: 0.2859 data_time: 0.0201 memory: 8198 grad_norm: 5.1468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6780 loss: 1.6780 2022/08/02 22:23:39 - mmengine - INFO - Epoch(train) [54][1100/1879] lr: 1.0000e-02 eta: 1 day, 6:04:30 time: 0.2914 data_time: 0.0240 memory: 8198 grad_norm: 5.1654 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7664 loss: 1.7664 2022/08/02 22:23:44 - mmengine - INFO - Epoch(train) [54][1120/1879] lr: 1.0000e-02 eta: 1 day, 6:04:25 time: 0.2835 data_time: 0.0260 memory: 8198 grad_norm: 5.1421 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7447 loss: 1.7447 2022/08/02 22:23:50 - mmengine - INFO - Epoch(train) [54][1140/1879] lr: 1.0000e-02 eta: 1 day, 6:04:19 time: 0.2820 data_time: 0.0235 memory: 8198 grad_norm: 5.2167 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7636 loss: 1.7636 2022/08/02 22:23:56 - mmengine - INFO - Epoch(train) [54][1160/1879] lr: 1.0000e-02 eta: 1 day, 6:04:13 time: 0.2801 data_time: 0.0208 memory: 8198 grad_norm: 5.0496 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8613 loss: 1.8613 2022/08/02 22:24:01 - mmengine - INFO - Epoch(train) [54][1180/1879] lr: 1.0000e-02 eta: 1 day, 6:04:07 time: 0.2855 data_time: 0.0254 memory: 8198 grad_norm: 5.1322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7585 loss: 1.7585 2022/08/02 22:24:07 - mmengine - INFO - Epoch(train) [54][1200/1879] lr: 1.0000e-02 eta: 1 day, 6:04:01 time: 0.2811 data_time: 0.0246 memory: 8198 grad_norm: 5.2473 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6215 loss: 1.6215 2022/08/02 22:24:13 - mmengine - INFO - Epoch(train) [54][1220/1879] lr: 1.0000e-02 eta: 1 day, 6:03:55 time: 0.2860 data_time: 0.0254 memory: 8198 grad_norm: 5.1357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6618 loss: 1.6618 2022/08/02 22:24:18 - mmengine - INFO - Epoch(train) [54][1240/1879] lr: 1.0000e-02 eta: 1 day, 6:03:49 time: 0.2806 data_time: 0.0209 memory: 8198 grad_norm: 5.1674 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7311 loss: 1.7311 2022/08/02 22:24:24 - mmengine - INFO - Epoch(train) [54][1260/1879] lr: 1.0000e-02 eta: 1 day, 6:03:44 time: 0.2871 data_time: 0.0252 memory: 8198 grad_norm: 5.0377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7420 loss: 1.7420 2022/08/02 22:24:30 - mmengine - INFO - Epoch(train) [54][1280/1879] lr: 1.0000e-02 eta: 1 day, 6:03:38 time: 0.2815 data_time: 0.0189 memory: 8198 grad_norm: 5.0126 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6996 loss: 1.6996 2022/08/02 22:24:35 - mmengine - INFO - Epoch(train) [54][1300/1879] lr: 1.0000e-02 eta: 1 day, 6:03:32 time: 0.2822 data_time: 0.0263 memory: 8198 grad_norm: 5.0848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5775 loss: 1.5775 2022/08/02 22:24:41 - mmengine - INFO - Epoch(train) [54][1320/1879] lr: 1.0000e-02 eta: 1 day, 6:03:26 time: 0.2857 data_time: 0.0248 memory: 8198 grad_norm: 5.1964 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7667 loss: 1.7667 2022/08/02 22:24:47 - mmengine - INFO - Epoch(train) [54][1340/1879] lr: 1.0000e-02 eta: 1 day, 6:03:20 time: 0.2800 data_time: 0.0216 memory: 8198 grad_norm: 5.0275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6760 loss: 1.6760 2022/08/02 22:24:53 - mmengine - INFO - Epoch(train) [54][1360/1879] lr: 1.0000e-02 eta: 1 day, 6:03:15 time: 0.2890 data_time: 0.0234 memory: 8198 grad_norm: 5.0000 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5525 loss: 1.5525 2022/08/02 22:24:58 - mmengine - INFO - Epoch(train) [54][1380/1879] lr: 1.0000e-02 eta: 1 day, 6:03:09 time: 0.2843 data_time: 0.0273 memory: 8198 grad_norm: 5.1453 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8582 loss: 1.8582 2022/08/02 22:25:04 - mmengine - INFO - Epoch(train) [54][1400/1879] lr: 1.0000e-02 eta: 1 day, 6:03:04 time: 0.2928 data_time: 0.0208 memory: 8198 grad_norm: 5.0793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7235 loss: 1.7235 2022/08/02 22:25:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:25:10 - mmengine - INFO - Epoch(train) [54][1420/1879] lr: 1.0000e-02 eta: 1 day, 6:02:58 time: 0.2833 data_time: 0.0218 memory: 8198 grad_norm: 5.1844 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6434 loss: 1.6434 2022/08/02 22:25:15 - mmengine - INFO - Epoch(train) [54][1440/1879] lr: 1.0000e-02 eta: 1 day, 6:02:52 time: 0.2803 data_time: 0.0213 memory: 8198 grad_norm: 5.2369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7092 loss: 1.7092 2022/08/02 22:25:21 - mmengine - INFO - Epoch(train) [54][1460/1879] lr: 1.0000e-02 eta: 1 day, 6:02:47 time: 0.2838 data_time: 0.0244 memory: 8198 grad_norm: 5.2406 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7099 loss: 1.7099 2022/08/02 22:25:27 - mmengine - INFO - Epoch(train) [54][1480/1879] lr: 1.0000e-02 eta: 1 day, 6:02:41 time: 0.2797 data_time: 0.0224 memory: 8198 grad_norm: 5.1494 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8357 loss: 1.8357 2022/08/02 22:25:32 - mmengine - INFO - Epoch(train) [54][1500/1879] lr: 1.0000e-02 eta: 1 day, 6:02:35 time: 0.2854 data_time: 0.0223 memory: 8198 grad_norm: 5.0480 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.5923 loss: 1.5923 2022/08/02 22:25:38 - mmengine - INFO - Epoch(train) [54][1520/1879] lr: 1.0000e-02 eta: 1 day, 6:02:29 time: 0.2809 data_time: 0.0227 memory: 8198 grad_norm: 5.2609 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6548 loss: 1.6548 2022/08/02 22:25:44 - mmengine - INFO - Epoch(train) [54][1540/1879] lr: 1.0000e-02 eta: 1 day, 6:02:24 time: 0.2928 data_time: 0.0236 memory: 8198 grad_norm: 5.0795 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8643 loss: 1.8643 2022/08/02 22:25:50 - mmengine - INFO - Epoch(train) [54][1560/1879] lr: 1.0000e-02 eta: 1 day, 6:02:18 time: 0.2802 data_time: 0.0236 memory: 8198 grad_norm: 4.9619 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7061 loss: 1.7061 2022/08/02 22:25:55 - mmengine - INFO - Epoch(train) [54][1580/1879] lr: 1.0000e-02 eta: 1 day, 6:02:12 time: 0.2845 data_time: 0.0245 memory: 8198 grad_norm: 5.1982 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6567 loss: 1.6567 2022/08/02 22:26:01 - mmengine - INFO - Epoch(train) [54][1600/1879] lr: 1.0000e-02 eta: 1 day, 6:02:07 time: 0.2901 data_time: 0.0231 memory: 8198 grad_norm: 5.2148 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9043 loss: 1.9043 2022/08/02 22:26:07 - mmengine - INFO - Epoch(train) [54][1620/1879] lr: 1.0000e-02 eta: 1 day, 6:02:01 time: 0.2793 data_time: 0.0245 memory: 8198 grad_norm: 4.9324 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7249 loss: 1.7249 2022/08/02 22:26:12 - mmengine - INFO - Epoch(train) [54][1640/1879] lr: 1.0000e-02 eta: 1 day, 6:01:55 time: 0.2805 data_time: 0.0189 memory: 8198 grad_norm: 5.0169 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7046 loss: 1.7046 2022/08/02 22:26:18 - mmengine - INFO - Epoch(train) [54][1660/1879] lr: 1.0000e-02 eta: 1 day, 6:01:49 time: 0.2818 data_time: 0.0225 memory: 8198 grad_norm: 5.1081 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8017 loss: 1.8017 2022/08/02 22:26:24 - mmengine - INFO - Epoch(train) [54][1680/1879] lr: 1.0000e-02 eta: 1 day, 6:01:43 time: 0.2862 data_time: 0.0254 memory: 8198 grad_norm: 5.2010 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8450 loss: 1.8450 2022/08/02 22:26:30 - mmengine - INFO - Epoch(train) [54][1700/1879] lr: 1.0000e-02 eta: 1 day, 6:01:38 time: 0.2902 data_time: 0.0232 memory: 8198 grad_norm: 5.0056 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7135 loss: 1.7135 2022/08/02 22:26:35 - mmengine - INFO - Epoch(train) [54][1720/1879] lr: 1.0000e-02 eta: 1 day, 6:01:32 time: 0.2820 data_time: 0.0183 memory: 8198 grad_norm: 5.0859 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6817 loss: 1.6817 2022/08/02 22:26:41 - mmengine - INFO - Epoch(train) [54][1740/1879] lr: 1.0000e-02 eta: 1 day, 6:01:26 time: 0.2843 data_time: 0.0251 memory: 8198 grad_norm: 5.1001 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7835 loss: 1.7835 2022/08/02 22:26:47 - mmengine - INFO - Epoch(train) [54][1760/1879] lr: 1.0000e-02 eta: 1 day, 6:01:21 time: 0.2830 data_time: 0.0257 memory: 8198 grad_norm: 5.1552 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7839 loss: 1.7839 2022/08/02 22:26:52 - mmengine - INFO - Epoch(train) [54][1780/1879] lr: 1.0000e-02 eta: 1 day, 6:01:15 time: 0.2822 data_time: 0.0216 memory: 8198 grad_norm: 5.1157 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7668 loss: 1.7668 2022/08/02 22:26:58 - mmengine - INFO - Epoch(train) [54][1800/1879] lr: 1.0000e-02 eta: 1 day, 6:01:09 time: 0.2816 data_time: 0.0221 memory: 8198 grad_norm: 5.0436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6789 loss: 1.6789 2022/08/02 22:27:03 - mmengine - INFO - Epoch(train) [54][1820/1879] lr: 1.0000e-02 eta: 1 day, 6:01:03 time: 0.2832 data_time: 0.0202 memory: 8198 grad_norm: 4.9641 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7357 loss: 1.7357 2022/08/02 22:27:09 - mmengine - INFO - Epoch(train) [54][1840/1879] lr: 1.0000e-02 eta: 1 day, 6:00:58 time: 0.2883 data_time: 0.0211 memory: 8198 grad_norm: 5.0761 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6933 loss: 1.6933 2022/08/02 22:27:15 - mmengine - INFO - Epoch(train) [54][1860/1879] lr: 1.0000e-02 eta: 1 day, 6:00:52 time: 0.2861 data_time: 0.0252 memory: 8198 grad_norm: 5.1142 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7983 loss: 1.7983 2022/08/02 22:27:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:27:20 - mmengine - INFO - Epoch(train) [54][1879/1879] lr: 1.0000e-02 eta: 1 day, 6:00:52 time: 0.2565 data_time: 0.0162 memory: 8198 grad_norm: 5.2138 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7416 loss: 1.7416 2022/08/02 22:27:28 - mmengine - INFO - Epoch(train) [55][20/1879] lr: 1.0000e-02 eta: 1 day, 6:00:31 time: 0.4265 data_time: 0.1275 memory: 8198 grad_norm: 4.9787 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6571 loss: 1.6571 2022/08/02 22:27:34 - mmengine - INFO - Epoch(train) [55][40/1879] lr: 1.0000e-02 eta: 1 day, 6:00:26 time: 0.2845 data_time: 0.0204 memory: 8198 grad_norm: 4.9615 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8266 loss: 1.8266 2022/08/02 22:27:40 - mmengine - INFO - Epoch(train) [55][60/1879] lr: 1.0000e-02 eta: 1 day, 6:00:21 time: 0.2981 data_time: 0.0302 memory: 8198 grad_norm: 5.0541 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5722 loss: 1.5722 2022/08/02 22:27:46 - mmengine - INFO - Epoch(train) [55][80/1879] lr: 1.0000e-02 eta: 1 day, 6:00:15 time: 0.2827 data_time: 0.0220 memory: 8198 grad_norm: 5.3413 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9145 loss: 1.9145 2022/08/02 22:27:51 - mmengine - INFO - Epoch(train) [55][100/1879] lr: 1.0000e-02 eta: 1 day, 6:00:09 time: 0.2793 data_time: 0.0221 memory: 8198 grad_norm: 5.0020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6534 loss: 1.6534 2022/08/02 22:27:57 - mmengine - INFO - Epoch(train) [55][120/1879] lr: 1.0000e-02 eta: 1 day, 6:00:03 time: 0.2855 data_time: 0.0254 memory: 8198 grad_norm: 5.2449 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7918 loss: 1.7918 2022/08/02 22:28:03 - mmengine - INFO - Epoch(train) [55][140/1879] lr: 1.0000e-02 eta: 1 day, 5:59:58 time: 0.2883 data_time: 0.0248 memory: 8198 grad_norm: 5.1581 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5517 loss: 1.5517 2022/08/02 22:28:09 - mmengine - INFO - Epoch(train) [55][160/1879] lr: 1.0000e-02 eta: 1 day, 5:59:52 time: 0.2839 data_time: 0.0183 memory: 8198 grad_norm: 5.1245 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5486 loss: 1.5486 2022/08/02 22:28:14 - mmengine - INFO - Epoch(train) [55][180/1879] lr: 1.0000e-02 eta: 1 day, 5:59:46 time: 0.2830 data_time: 0.0257 memory: 8198 grad_norm: 4.9815 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6532 loss: 1.6532 2022/08/02 22:28:20 - mmengine - INFO - Epoch(train) [55][200/1879] lr: 1.0000e-02 eta: 1 day, 5:59:40 time: 0.2812 data_time: 0.0201 memory: 8198 grad_norm: 5.1623 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6160 loss: 1.6160 2022/08/02 22:28:26 - mmengine - INFO - Epoch(train) [55][220/1879] lr: 1.0000e-02 eta: 1 day, 5:59:35 time: 0.2859 data_time: 0.0252 memory: 8198 grad_norm: 5.1966 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6829 loss: 1.6829 2022/08/02 22:28:31 - mmengine - INFO - Epoch(train) [55][240/1879] lr: 1.0000e-02 eta: 1 day, 5:59:29 time: 0.2861 data_time: 0.0244 memory: 8198 grad_norm: 5.2571 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7301 loss: 1.7301 2022/08/02 22:28:37 - mmengine - INFO - Epoch(train) [55][260/1879] lr: 1.0000e-02 eta: 1 day, 5:59:23 time: 0.2806 data_time: 0.0222 memory: 8198 grad_norm: 5.0668 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8723 loss: 1.8723 2022/08/02 22:28:43 - mmengine - INFO - Epoch(train) [55][280/1879] lr: 1.0000e-02 eta: 1 day, 5:59:19 time: 0.2992 data_time: 0.0195 memory: 8198 grad_norm: 5.0662 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7058 loss: 1.7058 2022/08/02 22:28:49 - mmengine - INFO - Epoch(train) [55][300/1879] lr: 1.0000e-02 eta: 1 day, 5:59:12 time: 0.2785 data_time: 0.0239 memory: 8198 grad_norm: 5.1535 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6911 loss: 1.6911 2022/08/02 22:28:54 - mmengine - INFO - Epoch(train) [55][320/1879] lr: 1.0000e-02 eta: 1 day, 5:59:07 time: 0.2849 data_time: 0.0233 memory: 8198 grad_norm: 5.2877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5905 loss: 1.5905 2022/08/02 22:29:00 - mmengine - INFO - Epoch(train) [55][340/1879] lr: 1.0000e-02 eta: 1 day, 5:59:01 time: 0.2864 data_time: 0.0221 memory: 8198 grad_norm: 5.0974 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8506 loss: 1.8506 2022/08/02 22:29:06 - mmengine - INFO - Epoch(train) [55][360/1879] lr: 1.0000e-02 eta: 1 day, 5:58:55 time: 0.2822 data_time: 0.0220 memory: 8198 grad_norm: 5.0267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/08/02 22:29:11 - mmengine - INFO - Epoch(train) [55][380/1879] lr: 1.0000e-02 eta: 1 day, 5:58:50 time: 0.2878 data_time: 0.0232 memory: 8198 grad_norm: 5.1577 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5896 loss: 1.5896 2022/08/02 22:29:17 - mmengine - INFO - Epoch(train) [55][400/1879] lr: 1.0000e-02 eta: 1 day, 5:58:44 time: 0.2797 data_time: 0.0194 memory: 8198 grad_norm: 5.1914 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6624 loss: 1.6624 2022/08/02 22:29:23 - mmengine - INFO - Epoch(train) [55][420/1879] lr: 1.0000e-02 eta: 1 day, 5:58:38 time: 0.2801 data_time: 0.0227 memory: 8198 grad_norm: 5.2189 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8051 loss: 1.8051 2022/08/02 22:29:28 - mmengine - INFO - Epoch(train) [55][440/1879] lr: 1.0000e-02 eta: 1 day, 5:58:32 time: 0.2821 data_time: 0.0207 memory: 8198 grad_norm: 5.1209 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7819 loss: 1.7819 2022/08/02 22:29:34 - mmengine - INFO - Epoch(train) [55][460/1879] lr: 1.0000e-02 eta: 1 day, 5:58:26 time: 0.2829 data_time: 0.0203 memory: 8198 grad_norm: 5.1240 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7689 loss: 1.7689 2022/08/02 22:29:40 - mmengine - INFO - Epoch(train) [55][480/1879] lr: 1.0000e-02 eta: 1 day, 5:58:21 time: 0.2879 data_time: 0.0199 memory: 8198 grad_norm: 5.0589 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/08/02 22:29:45 - mmengine - INFO - Epoch(train) [55][500/1879] lr: 1.0000e-02 eta: 1 day, 5:58:15 time: 0.2805 data_time: 0.0217 memory: 8198 grad_norm: 5.0598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7175 loss: 1.7175 2022/08/02 22:29:51 - mmengine - INFO - Epoch(train) [55][520/1879] lr: 1.0000e-02 eta: 1 day, 5:58:09 time: 0.2888 data_time: 0.0279 memory: 8198 grad_norm: 5.1614 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7281 loss: 1.7281 2022/08/02 22:29:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:29:57 - mmengine - INFO - Epoch(train) [55][540/1879] lr: 1.0000e-02 eta: 1 day, 5:58:03 time: 0.2789 data_time: 0.0207 memory: 8198 grad_norm: 5.1427 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4836 loss: 1.4836 2022/08/02 22:30:03 - mmengine - INFO - Epoch(train) [55][560/1879] lr: 1.0000e-02 eta: 1 day, 5:57:58 time: 0.2947 data_time: 0.0252 memory: 8198 grad_norm: 5.2304 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5250 loss: 1.5250 2022/08/02 22:30:08 - mmengine - INFO - Epoch(train) [55][580/1879] lr: 1.0000e-02 eta: 1 day, 5:57:52 time: 0.2819 data_time: 0.0184 memory: 8198 grad_norm: 4.9557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7968 loss: 1.7968 2022/08/02 22:30:14 - mmengine - INFO - Epoch(train) [55][600/1879] lr: 1.0000e-02 eta: 1 day, 5:57:47 time: 0.2885 data_time: 0.0187 memory: 8198 grad_norm: 5.2056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/08/02 22:30:20 - mmengine - INFO - Epoch(train) [55][620/1879] lr: 1.0000e-02 eta: 1 day, 5:57:41 time: 0.2853 data_time: 0.0260 memory: 8198 grad_norm: 5.1075 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7982 loss: 1.7982 2022/08/02 22:30:25 - mmengine - INFO - Epoch(train) [55][640/1879] lr: 1.0000e-02 eta: 1 day, 5:57:35 time: 0.2807 data_time: 0.0245 memory: 8198 grad_norm: 5.2470 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9213 loss: 1.9213 2022/08/02 22:30:31 - mmengine - INFO - Epoch(train) [55][660/1879] lr: 1.0000e-02 eta: 1 day, 5:57:30 time: 0.2842 data_time: 0.0198 memory: 8198 grad_norm: 5.2316 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8065 loss: 1.8065 2022/08/02 22:30:37 - mmengine - INFO - Epoch(train) [55][680/1879] lr: 1.0000e-02 eta: 1 day, 5:57:23 time: 0.2799 data_time: 0.0193 memory: 8198 grad_norm: 5.1676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7467 loss: 1.7467 2022/08/02 22:30:42 - mmengine - INFO - Epoch(train) [55][700/1879] lr: 1.0000e-02 eta: 1 day, 5:57:18 time: 0.2845 data_time: 0.0264 memory: 8198 grad_norm: 5.1936 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7956 loss: 1.7956 2022/08/02 22:30:48 - mmengine - INFO - Epoch(train) [55][720/1879] lr: 1.0000e-02 eta: 1 day, 5:57:12 time: 0.2789 data_time: 0.0217 memory: 8198 grad_norm: 5.0905 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7772 loss: 1.7772 2022/08/02 22:30:54 - mmengine - INFO - Epoch(train) [55][740/1879] lr: 1.0000e-02 eta: 1 day, 5:57:07 time: 0.2920 data_time: 0.0246 memory: 8198 grad_norm: 5.0878 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5405 loss: 1.5405 2022/08/02 22:31:00 - mmengine - INFO - Epoch(train) [55][760/1879] lr: 1.0000e-02 eta: 1 day, 5:57:01 time: 0.2894 data_time: 0.0322 memory: 8198 grad_norm: 5.0068 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4764 loss: 1.4764 2022/08/02 22:31:05 - mmengine - INFO - Epoch(train) [55][780/1879] lr: 1.0000e-02 eta: 1 day, 5:56:55 time: 0.2786 data_time: 0.0229 memory: 8198 grad_norm: 5.2210 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7447 loss: 1.7447 2022/08/02 22:31:11 - mmengine - INFO - Epoch(train) [55][800/1879] lr: 1.0000e-02 eta: 1 day, 5:56:51 time: 0.3095 data_time: 0.0257 memory: 8198 grad_norm: 5.1623 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7828 loss: 1.7828 2022/08/02 22:31:17 - mmengine - INFO - Epoch(train) [55][820/1879] lr: 1.0000e-02 eta: 1 day, 5:56:45 time: 0.2773 data_time: 0.0231 memory: 8198 grad_norm: 5.2477 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7067 loss: 1.7067 2022/08/02 22:31:23 - mmengine - INFO - Epoch(train) [55][840/1879] lr: 1.0000e-02 eta: 1 day, 5:56:39 time: 0.2819 data_time: 0.0249 memory: 8198 grad_norm: 5.0947 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8143 loss: 1.8143 2022/08/02 22:31:28 - mmengine - INFO - Epoch(train) [55][860/1879] lr: 1.0000e-02 eta: 1 day, 5:56:33 time: 0.2819 data_time: 0.0255 memory: 8198 grad_norm: 5.0447 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5836 loss: 1.5836 2022/08/02 22:31:34 - mmengine - INFO - Epoch(train) [55][880/1879] lr: 1.0000e-02 eta: 1 day, 5:56:28 time: 0.2896 data_time: 0.0253 memory: 8198 grad_norm: 5.1065 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7524 loss: 1.7524 2022/08/02 22:31:40 - mmengine - INFO - Epoch(train) [55][900/1879] lr: 1.0000e-02 eta: 1 day, 5:56:22 time: 0.2842 data_time: 0.0254 memory: 8198 grad_norm: 5.2430 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7863 loss: 1.7863 2022/08/02 22:31:45 - mmengine - INFO - Epoch(train) [55][920/1879] lr: 1.0000e-02 eta: 1 day, 5:56:16 time: 0.2804 data_time: 0.0198 memory: 8198 grad_norm: 5.2365 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5623 loss: 1.5623 2022/08/02 22:31:51 - mmengine - INFO - Epoch(train) [55][940/1879] lr: 1.0000e-02 eta: 1 day, 5:56:11 time: 0.2862 data_time: 0.0222 memory: 8198 grad_norm: 5.0421 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7694 loss: 1.7694 2022/08/02 22:31:57 - mmengine - INFO - Epoch(train) [55][960/1879] lr: 1.0000e-02 eta: 1 day, 5:56:04 time: 0.2788 data_time: 0.0223 memory: 8198 grad_norm: 5.0968 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7886 loss: 1.7886 2022/08/02 22:32:02 - mmengine - INFO - Epoch(train) [55][980/1879] lr: 1.0000e-02 eta: 1 day, 5:55:58 time: 0.2814 data_time: 0.0221 memory: 8198 grad_norm: 5.1893 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7418 loss: 1.7418 2022/08/02 22:32:08 - mmengine - INFO - Epoch(train) [55][1000/1879] lr: 1.0000e-02 eta: 1 day, 5:55:53 time: 0.2878 data_time: 0.0168 memory: 8198 grad_norm: 5.1466 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6375 loss: 1.6375 2022/08/02 22:32:14 - mmengine - INFO - Epoch(train) [55][1020/1879] lr: 1.0000e-02 eta: 1 day, 5:55:48 time: 0.2989 data_time: 0.0199 memory: 8198 grad_norm: 5.0847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8811 loss: 1.8811 2022/08/02 22:32:20 - mmengine - INFO - Epoch(train) [55][1040/1879] lr: 1.0000e-02 eta: 1 day, 5:55:42 time: 0.2794 data_time: 0.0177 memory: 8198 grad_norm: 5.1369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7249 loss: 1.7249 2022/08/02 22:32:25 - mmengine - INFO - Epoch(train) [55][1060/1879] lr: 1.0000e-02 eta: 1 day, 5:55:36 time: 0.2812 data_time: 0.0251 memory: 8198 grad_norm: 5.2712 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7318 loss: 1.7318 2022/08/02 22:32:31 - mmengine - INFO - Epoch(train) [55][1080/1879] lr: 1.0000e-02 eta: 1 day, 5:55:31 time: 0.2898 data_time: 0.0240 memory: 8198 grad_norm: 4.9405 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7924 loss: 1.7924 2022/08/02 22:32:37 - mmengine - INFO - Epoch(train) [55][1100/1879] lr: 1.0000e-02 eta: 1 day, 5:55:25 time: 0.2838 data_time: 0.0236 memory: 8198 grad_norm: 5.1629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6494 loss: 1.6494 2022/08/02 22:32:42 - mmengine - INFO - Epoch(train) [55][1120/1879] lr: 1.0000e-02 eta: 1 day, 5:55:19 time: 0.2817 data_time: 0.0227 memory: 8198 grad_norm: 5.0238 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7494 loss: 1.7494 2022/08/02 22:32:48 - mmengine - INFO - Epoch(train) [55][1140/1879] lr: 1.0000e-02 eta: 1 day, 5:55:13 time: 0.2803 data_time: 0.0219 memory: 8198 grad_norm: 5.1233 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6663 loss: 1.6663 2022/08/02 22:32:54 - mmengine - INFO - Epoch(train) [55][1160/1879] lr: 1.0000e-02 eta: 1 day, 5:55:08 time: 0.2856 data_time: 0.0246 memory: 8198 grad_norm: 5.0024 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5918 loss: 1.5918 2022/08/02 22:33:00 - mmengine - INFO - Epoch(train) [55][1180/1879] lr: 1.0000e-02 eta: 1 day, 5:55:02 time: 0.2892 data_time: 0.0258 memory: 8198 grad_norm: 5.1612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/08/02 22:33:05 - mmengine - INFO - Epoch(train) [55][1200/1879] lr: 1.0000e-02 eta: 1 day, 5:54:57 time: 0.2854 data_time: 0.0238 memory: 8198 grad_norm: 5.0016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6757 loss: 1.6757 2022/08/02 22:33:11 - mmengine - INFO - Epoch(train) [55][1220/1879] lr: 1.0000e-02 eta: 1 day, 5:54:51 time: 0.2847 data_time: 0.0217 memory: 8198 grad_norm: 5.2435 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7893 loss: 1.7893 2022/08/02 22:33:17 - mmengine - INFO - Epoch(train) [55][1240/1879] lr: 1.0000e-02 eta: 1 day, 5:54:45 time: 0.2807 data_time: 0.0183 memory: 8198 grad_norm: 5.0227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8428 loss: 1.8428 2022/08/02 22:33:22 - mmengine - INFO - Epoch(train) [55][1260/1879] lr: 1.0000e-02 eta: 1 day, 5:54:39 time: 0.2850 data_time: 0.0205 memory: 8198 grad_norm: 5.1571 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7628 loss: 1.7628 2022/08/02 22:33:28 - mmengine - INFO - Epoch(train) [55][1280/1879] lr: 1.0000e-02 eta: 1 day, 5:54:34 time: 0.2851 data_time: 0.0201 memory: 8198 grad_norm: 5.0315 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7511 loss: 1.7511 2022/08/02 22:33:34 - mmengine - INFO - Epoch(train) [55][1300/1879] lr: 1.0000e-02 eta: 1 day, 5:54:28 time: 0.2814 data_time: 0.0242 memory: 8198 grad_norm: 4.9786 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9378 loss: 1.9378 2022/08/02 22:33:39 - mmengine - INFO - Epoch(train) [55][1320/1879] lr: 1.0000e-02 eta: 1 day, 5:54:22 time: 0.2875 data_time: 0.0241 memory: 8198 grad_norm: 5.0504 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7244 loss: 1.7244 2022/08/02 22:33:45 - mmengine - INFO - Epoch(train) [55][1340/1879] lr: 1.0000e-02 eta: 1 day, 5:54:17 time: 0.2834 data_time: 0.0197 memory: 8198 grad_norm: 5.0849 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6697 loss: 1.6697 2022/08/02 22:33:51 - mmengine - INFO - Epoch(train) [55][1360/1879] lr: 1.0000e-02 eta: 1 day, 5:54:11 time: 0.2851 data_time: 0.0197 memory: 8198 grad_norm: 4.9583 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6319 loss: 1.6319 2022/08/02 22:33:57 - mmengine - INFO - Epoch(train) [55][1380/1879] lr: 1.0000e-02 eta: 1 day, 5:54:05 time: 0.2832 data_time: 0.0226 memory: 8198 grad_norm: 5.1052 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6217 loss: 1.6217 2022/08/02 22:34:02 - mmengine - INFO - Epoch(train) [55][1400/1879] lr: 1.0000e-02 eta: 1 day, 5:54:00 time: 0.2896 data_time: 0.0192 memory: 8198 grad_norm: 5.0033 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8256 loss: 1.8256 2022/08/02 22:34:08 - mmengine - INFO - Epoch(train) [55][1420/1879] lr: 1.0000e-02 eta: 1 day, 5:53:54 time: 0.2809 data_time: 0.0204 memory: 8198 grad_norm: 4.8866 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7273 loss: 1.7273 2022/08/02 22:34:14 - mmengine - INFO - Epoch(train) [55][1440/1879] lr: 1.0000e-02 eta: 1 day, 5:53:49 time: 0.2904 data_time: 0.0199 memory: 8198 grad_norm: 5.1275 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4485 loss: 1.4485 2022/08/02 22:34:20 - mmengine - INFO - Epoch(train) [55][1460/1879] lr: 1.0000e-02 eta: 1 day, 5:53:43 time: 0.2909 data_time: 0.0170 memory: 8198 grad_norm: 5.1468 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8573 loss: 1.8573 2022/08/02 22:34:25 - mmengine - INFO - Epoch(train) [55][1480/1879] lr: 1.0000e-02 eta: 1 day, 5:53:37 time: 0.2800 data_time: 0.0196 memory: 8198 grad_norm: 5.0721 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8452 loss: 1.8452 2022/08/02 22:34:31 - mmengine - INFO - Epoch(train) [55][1500/1879] lr: 1.0000e-02 eta: 1 day, 5:53:32 time: 0.2877 data_time: 0.0241 memory: 8198 grad_norm: 4.9735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7349 loss: 1.7349 2022/08/02 22:34:37 - mmengine - INFO - Epoch(train) [55][1520/1879] lr: 1.0000e-02 eta: 1 day, 5:53:26 time: 0.2838 data_time: 0.0215 memory: 8198 grad_norm: 5.1075 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5574 loss: 1.5574 2022/08/02 22:34:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:34:42 - mmengine - INFO - Epoch(train) [55][1540/1879] lr: 1.0000e-02 eta: 1 day, 5:53:20 time: 0.2855 data_time: 0.0252 memory: 8198 grad_norm: 5.0788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6794 loss: 1.6794 2022/08/02 22:34:48 - mmengine - INFO - Epoch(train) [55][1560/1879] lr: 1.0000e-02 eta: 1 day, 5:53:15 time: 0.2841 data_time: 0.0189 memory: 8198 grad_norm: 5.0851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7406 loss: 1.7406 2022/08/02 22:34:54 - mmengine - INFO - Epoch(train) [55][1580/1879] lr: 1.0000e-02 eta: 1 day, 5:53:09 time: 0.2887 data_time: 0.0197 memory: 8198 grad_norm: 5.1540 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7894 loss: 1.7894 2022/08/02 22:35:00 - mmengine - INFO - Epoch(train) [55][1600/1879] lr: 1.0000e-02 eta: 1 day, 5:53:03 time: 0.2822 data_time: 0.0256 memory: 8198 grad_norm: 5.2062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6688 loss: 1.6688 2022/08/02 22:35:05 - mmengine - INFO - Epoch(train) [55][1620/1879] lr: 1.0000e-02 eta: 1 day, 5:52:58 time: 0.2835 data_time: 0.0228 memory: 8198 grad_norm: 5.1315 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8943 loss: 1.8943 2022/08/02 22:35:11 - mmengine - INFO - Epoch(train) [55][1640/1879] lr: 1.0000e-02 eta: 1 day, 5:52:52 time: 0.2895 data_time: 0.0225 memory: 8198 grad_norm: 5.1244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6560 loss: 1.6560 2022/08/02 22:35:17 - mmengine - INFO - Epoch(train) [55][1660/1879] lr: 1.0000e-02 eta: 1 day, 5:52:47 time: 0.2846 data_time: 0.0216 memory: 8198 grad_norm: 5.0496 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7360 loss: 1.7360 2022/08/02 22:35:22 - mmengine - INFO - Epoch(train) [55][1680/1879] lr: 1.0000e-02 eta: 1 day, 5:52:41 time: 0.2842 data_time: 0.0226 memory: 8198 grad_norm: 5.4268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8825 loss: 1.8825 2022/08/02 22:35:28 - mmengine - INFO - Epoch(train) [55][1700/1879] lr: 1.0000e-02 eta: 1 day, 5:52:35 time: 0.2791 data_time: 0.0241 memory: 8198 grad_norm: 5.1384 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8925 loss: 1.8925 2022/08/02 22:35:34 - mmengine - INFO - Epoch(train) [55][1720/1879] lr: 1.0000e-02 eta: 1 day, 5:52:29 time: 0.2846 data_time: 0.0250 memory: 8198 grad_norm: 5.0030 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8112 loss: 1.8112 2022/08/02 22:35:39 - mmengine - INFO - Epoch(train) [55][1740/1879] lr: 1.0000e-02 eta: 1 day, 5:52:23 time: 0.2818 data_time: 0.0262 memory: 8198 grad_norm: 5.0103 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6858 loss: 1.6858 2022/08/02 22:35:45 - mmengine - INFO - Epoch(train) [55][1760/1879] lr: 1.0000e-02 eta: 1 day, 5:52:18 time: 0.2878 data_time: 0.0212 memory: 8198 grad_norm: 5.0591 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6512 loss: 1.6512 2022/08/02 22:35:51 - mmengine - INFO - Epoch(train) [55][1780/1879] lr: 1.0000e-02 eta: 1 day, 5:52:12 time: 0.2869 data_time: 0.0253 memory: 8198 grad_norm: 5.2057 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6307 loss: 1.6307 2022/08/02 22:35:57 - mmengine - INFO - Epoch(train) [55][1800/1879] lr: 1.0000e-02 eta: 1 day, 5:52:06 time: 0.2842 data_time: 0.0241 memory: 8198 grad_norm: 5.2654 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8852 loss: 1.8852 2022/08/02 22:36:02 - mmengine - INFO - Epoch(train) [55][1820/1879] lr: 1.0000e-02 eta: 1 day, 5:52:01 time: 0.2820 data_time: 0.0203 memory: 8198 grad_norm: 5.1997 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6208 loss: 1.6208 2022/08/02 22:36:08 - mmengine - INFO - Epoch(train) [55][1840/1879] lr: 1.0000e-02 eta: 1 day, 5:51:55 time: 0.2824 data_time: 0.0224 memory: 8198 grad_norm: 5.2993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6597 loss: 1.6597 2022/08/02 22:36:14 - mmengine - INFO - Epoch(train) [55][1860/1879] lr: 1.0000e-02 eta: 1 day, 5:51:49 time: 0.2855 data_time: 0.0244 memory: 8198 grad_norm: 5.1545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9307 loss: 1.9307 2022/08/02 22:36:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:36:18 - mmengine - INFO - Epoch(train) [55][1879/1879] lr: 1.0000e-02 eta: 1 day, 5:51:49 time: 0.2525 data_time: 0.0159 memory: 8198 grad_norm: 5.1447 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7177 loss: 1.7177 2022/08/02 22:36:25 - mmengine - INFO - Epoch(val) [55][20/155] eta: 0:00:43 time: 0.3249 data_time: 0.2351 memory: 1514 2022/08/02 22:36:29 - mmengine - INFO - Epoch(val) [55][40/155] eta: 0:00:25 time: 0.2215 data_time: 0.1336 memory: 1514 2022/08/02 22:36:35 - mmengine - INFO - Epoch(val) [55][60/155] eta: 0:00:27 time: 0.2905 data_time: 0.2057 memory: 1514 2022/08/02 22:36:40 - mmengine - INFO - Epoch(val) [55][80/155] eta: 0:00:18 time: 0.2418 data_time: 0.1479 memory: 1514 2022/08/02 22:36:46 - mmengine - INFO - Epoch(val) [55][100/155] eta: 0:00:16 time: 0.3060 data_time: 0.2189 memory: 1514 2022/08/02 22:36:51 - mmengine - INFO - Epoch(val) [55][120/155] eta: 0:00:08 time: 0.2304 data_time: 0.1439 memory: 1514 2022/08/02 22:36:57 - mmengine - INFO - Epoch(val) [55][140/155] eta: 0:00:04 time: 0.3098 data_time: 0.2236 memory: 1514 2022/08/02 22:37:02 - mmengine - INFO - Epoch(val) [55][155/155] acc/top1: 0.6296 acc/top5: 0.8444 acc/mean1: 0.6295 2022/08/02 22:37:10 - mmengine - INFO - Epoch(train) [56][20/1879] lr: 1.0000e-02 eta: 1 day, 5:51:29 time: 0.4256 data_time: 0.1172 memory: 8198 grad_norm: 5.0325 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5917 loss: 1.5917 2022/08/02 22:37:16 - mmengine - INFO - Epoch(train) [56][40/1879] lr: 1.0000e-02 eta: 1 day, 5:51:23 time: 0.2884 data_time: 0.0214 memory: 8198 grad_norm: 5.0069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5603 loss: 1.5603 2022/08/02 22:37:22 - mmengine - INFO - Epoch(train) [56][60/1879] lr: 1.0000e-02 eta: 1 day, 5:51:18 time: 0.2875 data_time: 0.0248 memory: 8198 grad_norm: 5.2664 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7316 loss: 1.7316 2022/08/02 22:37:27 - mmengine - INFO - Epoch(train) [56][80/1879] lr: 1.0000e-02 eta: 1 day, 5:51:12 time: 0.2795 data_time: 0.0178 memory: 8198 grad_norm: 5.1020 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8132 loss: 1.8132 2022/08/02 22:37:33 - mmengine - INFO - Epoch(train) [56][100/1879] lr: 1.0000e-02 eta: 1 day, 5:51:06 time: 0.2837 data_time: 0.0271 memory: 8198 grad_norm: 5.2794 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6266 loss: 1.6266 2022/08/02 22:37:39 - mmengine - INFO - Epoch(train) [56][120/1879] lr: 1.0000e-02 eta: 1 day, 5:51:00 time: 0.2802 data_time: 0.0179 memory: 8198 grad_norm: 5.0588 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7163 loss: 1.7163 2022/08/02 22:37:45 - mmengine - INFO - Epoch(train) [56][140/1879] lr: 1.0000e-02 eta: 1 day, 5:50:55 time: 0.2981 data_time: 0.0220 memory: 8198 grad_norm: 4.9891 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7541 loss: 1.7541 2022/08/02 22:37:50 - mmengine - INFO - Epoch(train) [56][160/1879] lr: 1.0000e-02 eta: 1 day, 5:50:49 time: 0.2809 data_time: 0.0185 memory: 8198 grad_norm: 4.9851 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5997 loss: 1.5997 2022/08/02 22:37:56 - mmengine - INFO - Epoch(train) [56][180/1879] lr: 1.0000e-02 eta: 1 day, 5:50:43 time: 0.2784 data_time: 0.0240 memory: 8198 grad_norm: 5.0384 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5767 loss: 1.5767 2022/08/02 22:38:02 - mmengine - INFO - Epoch(train) [56][200/1879] lr: 1.0000e-02 eta: 1 day, 5:50:37 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 4.9753 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7477 loss: 1.7477 2022/08/02 22:38:07 - mmengine - INFO - Epoch(train) [56][220/1879] lr: 1.0000e-02 eta: 1 day, 5:50:31 time: 0.2787 data_time: 0.0212 memory: 8198 grad_norm: 5.0344 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4513 loss: 1.4513 2022/08/02 22:38:13 - mmengine - INFO - Epoch(train) [56][240/1879] lr: 1.0000e-02 eta: 1 day, 5:50:26 time: 0.2858 data_time: 0.0191 memory: 8198 grad_norm: 5.1102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8489 loss: 1.8489 2022/08/02 22:38:18 - mmengine - INFO - Epoch(train) [56][260/1879] lr: 1.0000e-02 eta: 1 day, 5:50:20 time: 0.2821 data_time: 0.0205 memory: 8198 grad_norm: 5.1719 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6183 loss: 1.6183 2022/08/02 22:38:24 - mmengine - INFO - Epoch(train) [56][280/1879] lr: 1.0000e-02 eta: 1 day, 5:50:14 time: 0.2848 data_time: 0.0236 memory: 8198 grad_norm: 5.1337 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6662 loss: 1.6662 2022/08/02 22:38:30 - mmengine - INFO - Epoch(train) [56][300/1879] lr: 1.0000e-02 eta: 1 day, 5:50:08 time: 0.2830 data_time: 0.0235 memory: 8198 grad_norm: 5.2007 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8237 loss: 1.8237 2022/08/02 22:38:36 - mmengine - INFO - Epoch(train) [56][320/1879] lr: 1.0000e-02 eta: 1 day, 5:50:03 time: 0.2874 data_time: 0.0234 memory: 8198 grad_norm: 5.1774 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4787 loss: 1.4787 2022/08/02 22:38:41 - mmengine - INFO - Epoch(train) [56][340/1879] lr: 1.0000e-02 eta: 1 day, 5:49:57 time: 0.2794 data_time: 0.0273 memory: 8198 grad_norm: 5.1070 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6596 loss: 1.6596 2022/08/02 22:38:47 - mmengine - INFO - Epoch(train) [56][360/1879] lr: 1.0000e-02 eta: 1 day, 5:49:51 time: 0.2800 data_time: 0.0211 memory: 8198 grad_norm: 5.1435 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6743 loss: 1.6743 2022/08/02 22:38:53 - mmengine - INFO - Epoch(train) [56][380/1879] lr: 1.0000e-02 eta: 1 day, 5:49:45 time: 0.2873 data_time: 0.0250 memory: 8198 grad_norm: 5.1598 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4812 loss: 1.4812 2022/08/02 22:38:58 - mmengine - INFO - Epoch(train) [56][400/1879] lr: 1.0000e-02 eta: 1 day, 5:49:39 time: 0.2795 data_time: 0.0200 memory: 8198 grad_norm: 5.2137 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7961 loss: 1.7961 2022/08/02 22:39:04 - mmengine - INFO - Epoch(train) [56][420/1879] lr: 1.0000e-02 eta: 1 day, 5:49:34 time: 0.2856 data_time: 0.0240 memory: 8198 grad_norm: 5.3114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7464 loss: 1.7464 2022/08/02 22:39:10 - mmengine - INFO - Epoch(train) [56][440/1879] lr: 1.0000e-02 eta: 1 day, 5:49:28 time: 0.2799 data_time: 0.0238 memory: 8198 grad_norm: 5.0772 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6084 loss: 1.6084 2022/08/02 22:39:15 - mmengine - INFO - Epoch(train) [56][460/1879] lr: 1.0000e-02 eta: 1 day, 5:49:22 time: 0.2840 data_time: 0.0271 memory: 8198 grad_norm: 4.9478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5798 loss: 1.5798 2022/08/02 22:39:21 - mmengine - INFO - Epoch(train) [56][480/1879] lr: 1.0000e-02 eta: 1 day, 5:49:16 time: 0.2808 data_time: 0.0224 memory: 8198 grad_norm: 5.0814 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6632 loss: 1.6632 2022/08/02 22:39:27 - mmengine - INFO - Epoch(train) [56][500/1879] lr: 1.0000e-02 eta: 1 day, 5:49:10 time: 0.2832 data_time: 0.0253 memory: 8198 grad_norm: 5.1588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7411 loss: 1.7411 2022/08/02 22:39:32 - mmengine - INFO - Epoch(train) [56][520/1879] lr: 1.0000e-02 eta: 1 day, 5:49:05 time: 0.2882 data_time: 0.0233 memory: 8198 grad_norm: 5.0853 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6574 loss: 1.6574 2022/08/02 22:39:38 - mmengine - INFO - Epoch(train) [56][540/1879] lr: 1.0000e-02 eta: 1 day, 5:48:59 time: 0.2842 data_time: 0.0249 memory: 8198 grad_norm: 5.0893 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6731 loss: 1.6731 2022/08/02 22:39:44 - mmengine - INFO - Epoch(train) [56][560/1879] lr: 1.0000e-02 eta: 1 day, 5:48:53 time: 0.2810 data_time: 0.0234 memory: 8198 grad_norm: 5.1787 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8161 loss: 1.8161 2022/08/02 22:39:49 - mmengine - INFO - Epoch(train) [56][580/1879] lr: 1.0000e-02 eta: 1 day, 5:48:47 time: 0.2818 data_time: 0.0292 memory: 8198 grad_norm: 5.1338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6889 loss: 1.6889 2022/08/02 22:39:55 - mmengine - INFO - Epoch(train) [56][600/1879] lr: 1.0000e-02 eta: 1 day, 5:48:42 time: 0.2945 data_time: 0.0168 memory: 8198 grad_norm: 4.9784 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6407 loss: 1.6407 2022/08/02 22:40:01 - mmengine - INFO - Epoch(train) [56][620/1879] lr: 1.0000e-02 eta: 1 day, 5:48:36 time: 0.2823 data_time: 0.0209 memory: 8198 grad_norm: 5.0866 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6726 loss: 1.6726 2022/08/02 22:40:07 - mmengine - INFO - Epoch(train) [56][640/1879] lr: 1.0000e-02 eta: 1 day, 5:48:31 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 5.1001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6629 loss: 1.6629 2022/08/02 22:40:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:40:12 - mmengine - INFO - Epoch(train) [56][660/1879] lr: 1.0000e-02 eta: 1 day, 5:48:25 time: 0.2878 data_time: 0.0235 memory: 8198 grad_norm: 5.2265 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7898 loss: 1.7898 2022/08/02 22:40:18 - mmengine - INFO - Epoch(train) [56][680/1879] lr: 1.0000e-02 eta: 1 day, 5:48:20 time: 0.2945 data_time: 0.0204 memory: 8198 grad_norm: 5.1497 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6153 loss: 1.6153 2022/08/02 22:40:24 - mmengine - INFO - Epoch(train) [56][700/1879] lr: 1.0000e-02 eta: 1 day, 5:48:14 time: 0.2821 data_time: 0.0202 memory: 8198 grad_norm: 5.2037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5821 loss: 1.5821 2022/08/02 22:40:30 - mmengine - INFO - Epoch(train) [56][720/1879] lr: 1.0000e-02 eta: 1 day, 5:48:08 time: 0.2837 data_time: 0.0180 memory: 8198 grad_norm: 5.2607 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6939 loss: 1.6939 2022/08/02 22:40:35 - mmengine - INFO - Epoch(train) [56][740/1879] lr: 1.0000e-02 eta: 1 day, 5:48:03 time: 0.2887 data_time: 0.0237 memory: 8198 grad_norm: 5.0748 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5354 loss: 1.5354 2022/08/02 22:40:41 - mmengine - INFO - Epoch(train) [56][760/1879] lr: 1.0000e-02 eta: 1 day, 5:47:57 time: 0.2813 data_time: 0.0236 memory: 8198 grad_norm: 5.1660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5286 loss: 1.5286 2022/08/02 22:40:47 - mmengine - INFO - Epoch(train) [56][780/1879] lr: 1.0000e-02 eta: 1 day, 5:47:52 time: 0.2867 data_time: 0.0232 memory: 8198 grad_norm: 5.2037 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8085 loss: 1.8085 2022/08/02 22:40:52 - mmengine - INFO - Epoch(train) [56][800/1879] lr: 1.0000e-02 eta: 1 day, 5:47:46 time: 0.2840 data_time: 0.0265 memory: 8198 grad_norm: 4.9328 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7737 loss: 1.7737 2022/08/02 22:40:58 - mmengine - INFO - Epoch(train) [56][820/1879] lr: 1.0000e-02 eta: 1 day, 5:47:40 time: 0.2819 data_time: 0.0258 memory: 8198 grad_norm: 5.1635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7167 loss: 1.7167 2022/08/02 22:41:04 - mmengine - INFO - Epoch(train) [56][840/1879] lr: 1.0000e-02 eta: 1 day, 5:47:34 time: 0.2819 data_time: 0.0217 memory: 8198 grad_norm: 5.2348 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5735 loss: 1.5735 2022/08/02 22:41:09 - mmengine - INFO - Epoch(train) [56][860/1879] lr: 1.0000e-02 eta: 1 day, 5:47:28 time: 0.2837 data_time: 0.0242 memory: 8198 grad_norm: 5.0571 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8591 loss: 1.8591 2022/08/02 22:41:15 - mmengine - INFO - Epoch(train) [56][880/1879] lr: 1.0000e-02 eta: 1 day, 5:47:23 time: 0.2960 data_time: 0.0193 memory: 8198 grad_norm: 5.0669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6165 loss: 1.6165 2022/08/02 22:41:21 - mmengine - INFO - Epoch(train) [56][900/1879] lr: 1.0000e-02 eta: 1 day, 5:47:18 time: 0.2839 data_time: 0.0256 memory: 8198 grad_norm: 5.0875 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6541 loss: 1.6541 2022/08/02 22:41:27 - mmengine - INFO - Epoch(train) [56][920/1879] lr: 1.0000e-02 eta: 1 day, 5:47:12 time: 0.2862 data_time: 0.0291 memory: 8198 grad_norm: 5.0000 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7046 loss: 1.7046 2022/08/02 22:41:32 - mmengine - INFO - Epoch(train) [56][940/1879] lr: 1.0000e-02 eta: 1 day, 5:47:06 time: 0.2846 data_time: 0.0265 memory: 8198 grad_norm: 5.1167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5231 loss: 1.5231 2022/08/02 22:41:38 - mmengine - INFO - Epoch(train) [56][960/1879] lr: 1.0000e-02 eta: 1 day, 5:47:01 time: 0.2825 data_time: 0.0215 memory: 8198 grad_norm: 5.1411 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8945 loss: 1.8945 2022/08/02 22:41:44 - mmengine - INFO - Epoch(train) [56][980/1879] lr: 1.0000e-02 eta: 1 day, 5:46:54 time: 0.2781 data_time: 0.0207 memory: 8198 grad_norm: 5.1424 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8234 loss: 1.8234 2022/08/02 22:41:49 - mmengine - INFO - Epoch(train) [56][1000/1879] lr: 1.0000e-02 eta: 1 day, 5:46:49 time: 0.2866 data_time: 0.0242 memory: 8198 grad_norm: 5.1886 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7323 loss: 1.7323 2022/08/02 22:41:55 - mmengine - INFO - Epoch(train) [56][1020/1879] lr: 1.0000e-02 eta: 1 day, 5:46:44 time: 0.3007 data_time: 0.0240 memory: 8198 grad_norm: 5.1115 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6960 loss: 1.6960 2022/08/02 22:42:01 - mmengine - INFO - Epoch(train) [56][1040/1879] lr: 1.0000e-02 eta: 1 day, 5:46:38 time: 0.2797 data_time: 0.0184 memory: 8198 grad_norm: 5.0638 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/08/02 22:42:07 - mmengine - INFO - Epoch(train) [56][1060/1879] lr: 1.0000e-02 eta: 1 day, 5:46:33 time: 0.2844 data_time: 0.0254 memory: 8198 grad_norm: 5.1420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7194 loss: 1.7194 2022/08/02 22:42:12 - mmengine - INFO - Epoch(train) [56][1080/1879] lr: 1.0000e-02 eta: 1 day, 5:46:27 time: 0.2852 data_time: 0.0230 memory: 8198 grad_norm: 4.9511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8748 loss: 1.8748 2022/08/02 22:42:18 - mmengine - INFO - Epoch(train) [56][1100/1879] lr: 1.0000e-02 eta: 1 day, 5:46:21 time: 0.2826 data_time: 0.0255 memory: 8198 grad_norm: 5.0951 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7892 loss: 1.7892 2022/08/02 22:42:24 - mmengine - INFO - Epoch(train) [56][1120/1879] lr: 1.0000e-02 eta: 1 day, 5:46:15 time: 0.2848 data_time: 0.0230 memory: 8198 grad_norm: 5.0427 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8506 loss: 1.8506 2022/08/02 22:42:30 - mmengine - INFO - Epoch(train) [56][1140/1879] lr: 1.0000e-02 eta: 1 day, 5:46:10 time: 0.2854 data_time: 0.0240 memory: 8198 grad_norm: 5.2936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5781 loss: 1.5781 2022/08/02 22:42:35 - mmengine - INFO - Epoch(train) [56][1160/1879] lr: 1.0000e-02 eta: 1 day, 5:46:04 time: 0.2819 data_time: 0.0230 memory: 8198 grad_norm: 5.0981 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8107 loss: 1.8107 2022/08/02 22:42:41 - mmengine - INFO - Epoch(train) [56][1180/1879] lr: 1.0000e-02 eta: 1 day, 5:45:58 time: 0.2832 data_time: 0.0279 memory: 8198 grad_norm: 5.2859 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9989 loss: 1.9989 2022/08/02 22:42:47 - mmengine - INFO - Epoch(train) [56][1200/1879] lr: 1.0000e-02 eta: 1 day, 5:45:52 time: 0.2845 data_time: 0.0249 memory: 8198 grad_norm: 5.1804 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7416 loss: 1.7416 2022/08/02 22:42:52 - mmengine - INFO - Epoch(train) [56][1220/1879] lr: 1.0000e-02 eta: 1 day, 5:45:46 time: 0.2814 data_time: 0.0244 memory: 8198 grad_norm: 5.1934 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8503 loss: 1.8503 2022/08/02 22:42:58 - mmengine - INFO - Epoch(train) [56][1240/1879] lr: 1.0000e-02 eta: 1 day, 5:45:41 time: 0.2818 data_time: 0.0221 memory: 8198 grad_norm: 5.2336 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7886 loss: 1.7886 2022/08/02 22:43:04 - mmengine - INFO - Epoch(train) [56][1260/1879] lr: 1.0000e-02 eta: 1 day, 5:45:35 time: 0.2846 data_time: 0.0240 memory: 8198 grad_norm: 5.1807 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7018 loss: 1.7018 2022/08/02 22:43:09 - mmengine - INFO - Epoch(train) [56][1280/1879] lr: 1.0000e-02 eta: 1 day, 5:45:30 time: 0.2926 data_time: 0.0222 memory: 8198 grad_norm: 5.1164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6319 loss: 1.6319 2022/08/02 22:43:15 - mmengine - INFO - Epoch(train) [56][1300/1879] lr: 1.0000e-02 eta: 1 day, 5:45:24 time: 0.2814 data_time: 0.0235 memory: 8198 grad_norm: 5.1693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8309 loss: 1.8309 2022/08/02 22:43:21 - mmengine - INFO - Epoch(train) [56][1320/1879] lr: 1.0000e-02 eta: 1 day, 5:45:19 time: 0.2913 data_time: 0.0217 memory: 8198 grad_norm: 5.2172 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8350 loss: 1.8350 2022/08/02 22:43:27 - mmengine - INFO - Epoch(train) [56][1340/1879] lr: 1.0000e-02 eta: 1 day, 5:45:13 time: 0.2814 data_time: 0.0231 memory: 8198 grad_norm: 5.1515 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7364 loss: 1.7364 2022/08/02 22:43:32 - mmengine - INFO - Epoch(train) [56][1360/1879] lr: 1.0000e-02 eta: 1 day, 5:45:07 time: 0.2832 data_time: 0.0196 memory: 8198 grad_norm: 5.2219 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7988 loss: 1.7988 2022/08/02 22:43:38 - mmengine - INFO - Epoch(train) [56][1380/1879] lr: 1.0000e-02 eta: 1 day, 5:45:01 time: 0.2842 data_time: 0.0240 memory: 8198 grad_norm: 5.1647 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9439 loss: 1.9439 2022/08/02 22:43:44 - mmengine - INFO - Epoch(train) [56][1400/1879] lr: 1.0000e-02 eta: 1 day, 5:44:56 time: 0.2883 data_time: 0.0296 memory: 8198 grad_norm: 5.2401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8008 loss: 1.8008 2022/08/02 22:43:49 - mmengine - INFO - Epoch(train) [56][1420/1879] lr: 1.0000e-02 eta: 1 day, 5:44:50 time: 0.2799 data_time: 0.0208 memory: 8198 grad_norm: 5.0656 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8790 loss: 1.8790 2022/08/02 22:43:55 - mmengine - INFO - Epoch(train) [56][1440/1879] lr: 1.0000e-02 eta: 1 day, 5:44:44 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 5.0256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6823 loss: 1.6823 2022/08/02 22:44:01 - mmengine - INFO - Epoch(train) [56][1460/1879] lr: 1.0000e-02 eta: 1 day, 5:44:38 time: 0.2830 data_time: 0.0251 memory: 8198 grad_norm: 5.0596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7564 loss: 1.7564 2022/08/02 22:44:06 - mmengine - INFO - Epoch(train) [56][1480/1879] lr: 1.0000e-02 eta: 1 day, 5:44:33 time: 0.2905 data_time: 0.0217 memory: 8198 grad_norm: 5.2356 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7852 loss: 1.7852 2022/08/02 22:44:12 - mmengine - INFO - Epoch(train) [56][1500/1879] lr: 1.0000e-02 eta: 1 day, 5:44:27 time: 0.2835 data_time: 0.0308 memory: 8198 grad_norm: 5.1310 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6789 loss: 1.6789 2022/08/02 22:44:18 - mmengine - INFO - Epoch(train) [56][1520/1879] lr: 1.0000e-02 eta: 1 day, 5:44:22 time: 0.2846 data_time: 0.0263 memory: 8198 grad_norm: 5.0715 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7296 loss: 1.7296 2022/08/02 22:44:24 - mmengine - INFO - Epoch(train) [56][1540/1879] lr: 1.0000e-02 eta: 1 day, 5:44:17 time: 0.2939 data_time: 0.0353 memory: 8198 grad_norm: 5.0772 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4675 loss: 1.4675 2022/08/02 22:44:29 - mmengine - INFO - Epoch(train) [56][1560/1879] lr: 1.0000e-02 eta: 1 day, 5:44:10 time: 0.2791 data_time: 0.0187 memory: 8198 grad_norm: 5.2998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8323 loss: 1.8323 2022/08/02 22:44:35 - mmengine - INFO - Epoch(train) [56][1580/1879] lr: 1.0000e-02 eta: 1 day, 5:44:05 time: 0.2832 data_time: 0.0231 memory: 8198 grad_norm: 5.2480 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7835 loss: 1.7835 2022/08/02 22:44:41 - mmengine - INFO - Epoch(train) [56][1600/1879] lr: 1.0000e-02 eta: 1 day, 5:43:59 time: 0.2880 data_time: 0.0288 memory: 8198 grad_norm: 5.2570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8343 loss: 1.8343 2022/08/02 22:44:46 - mmengine - INFO - Epoch(train) [56][1620/1879] lr: 1.0000e-02 eta: 1 day, 5:43:53 time: 0.2843 data_time: 0.0281 memory: 8198 grad_norm: 5.1804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6447 loss: 1.6447 2022/08/02 22:44:52 - mmengine - INFO - Epoch(train) [56][1640/1879] lr: 1.0000e-02 eta: 1 day, 5:43:48 time: 0.2834 data_time: 0.0209 memory: 8198 grad_norm: 5.1209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5206 loss: 1.5206 2022/08/02 22:44:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:44:58 - mmengine - INFO - Epoch(train) [56][1660/1879] lr: 1.0000e-02 eta: 1 day, 5:43:42 time: 0.2827 data_time: 0.0261 memory: 8198 grad_norm: 5.1810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6930 loss: 1.6930 2022/08/02 22:45:04 - mmengine - INFO - Epoch(train) [56][1680/1879] lr: 1.0000e-02 eta: 1 day, 5:43:36 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 5.2791 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9191 loss: 1.9191 2022/08/02 22:45:09 - mmengine - INFO - Epoch(train) [56][1700/1879] lr: 1.0000e-02 eta: 1 day, 5:43:31 time: 0.2882 data_time: 0.0315 memory: 8198 grad_norm: 5.1591 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8157 loss: 1.8157 2022/08/02 22:45:15 - mmengine - INFO - Epoch(train) [56][1720/1879] lr: 1.0000e-02 eta: 1 day, 5:43:25 time: 0.2831 data_time: 0.0216 memory: 8198 grad_norm: 5.2491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8847 loss: 1.8847 2022/08/02 22:45:21 - mmengine - INFO - Epoch(train) [56][1740/1879] lr: 1.0000e-02 eta: 1 day, 5:43:19 time: 0.2821 data_time: 0.0236 memory: 8198 grad_norm: 5.1543 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7245 loss: 1.7245 2022/08/02 22:45:26 - mmengine - INFO - Epoch(train) [56][1760/1879] lr: 1.0000e-02 eta: 1 day, 5:43:13 time: 0.2843 data_time: 0.0201 memory: 8198 grad_norm: 5.2008 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7421 loss: 1.7421 2022/08/02 22:45:32 - mmengine - INFO - Epoch(train) [56][1780/1879] lr: 1.0000e-02 eta: 1 day, 5:43:08 time: 0.2858 data_time: 0.0262 memory: 8198 grad_norm: 5.0547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7539 loss: 1.7539 2022/08/02 22:45:38 - mmengine - INFO - Epoch(train) [56][1800/1879] lr: 1.0000e-02 eta: 1 day, 5:43:03 time: 0.2924 data_time: 0.0253 memory: 8198 grad_norm: 5.0681 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7736 loss: 1.7736 2022/08/02 22:45:44 - mmengine - INFO - Epoch(train) [56][1820/1879] lr: 1.0000e-02 eta: 1 day, 5:42:57 time: 0.2833 data_time: 0.0252 memory: 8198 grad_norm: 5.0662 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7971 loss: 1.7971 2022/08/02 22:45:49 - mmengine - INFO - Epoch(train) [56][1840/1879] lr: 1.0000e-02 eta: 1 day, 5:42:51 time: 0.2806 data_time: 0.0227 memory: 8198 grad_norm: 5.2037 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6615 loss: 1.6615 2022/08/02 22:45:55 - mmengine - INFO - Epoch(train) [56][1860/1879] lr: 1.0000e-02 eta: 1 day, 5:42:45 time: 0.2883 data_time: 0.0271 memory: 8198 grad_norm: 5.2817 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6543 loss: 1.6543 2022/08/02 22:46:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:46:00 - mmengine - INFO - Epoch(train) [56][1879/1879] lr: 1.0000e-02 eta: 1 day, 5:42:45 time: 0.2535 data_time: 0.0134 memory: 8198 grad_norm: 5.2339 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.7581 loss: 1.7581 2022/08/02 22:46:00 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/08/02 22:46:09 - mmengine - INFO - Epoch(train) [57][20/1879] lr: 1.0000e-02 eta: 1 day, 5:42:22 time: 0.3768 data_time: 0.1133 memory: 8198 grad_norm: 4.9693 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6562 loss: 1.6562 2022/08/02 22:46:15 - mmengine - INFO - Epoch(train) [57][40/1879] lr: 1.0000e-02 eta: 1 day, 5:42:17 time: 0.2989 data_time: 0.0386 memory: 8198 grad_norm: 5.0612 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5957 loss: 1.5957 2022/08/02 22:46:21 - mmengine - INFO - Epoch(train) [57][60/1879] lr: 1.0000e-02 eta: 1 day, 5:42:12 time: 0.2899 data_time: 0.0213 memory: 8198 grad_norm: 5.1313 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1972 loss: 2.1972 2022/08/02 22:46:27 - mmengine - INFO - Epoch(train) [57][80/1879] lr: 1.0000e-02 eta: 1 day, 5:42:06 time: 0.2783 data_time: 0.0194 memory: 8198 grad_norm: 5.0623 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5408 loss: 1.5408 2022/08/02 22:46:33 - mmengine - INFO - Epoch(train) [57][100/1879] lr: 1.0000e-02 eta: 1 day, 5:42:01 time: 0.2944 data_time: 0.0243 memory: 8198 grad_norm: 5.1102 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5428 loss: 1.5428 2022/08/02 22:46:38 - mmengine - INFO - Epoch(train) [57][120/1879] lr: 1.0000e-02 eta: 1 day, 5:41:55 time: 0.2822 data_time: 0.0216 memory: 8198 grad_norm: 5.2481 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8147 loss: 1.8147 2022/08/02 22:46:44 - mmengine - INFO - Epoch(train) [57][140/1879] lr: 1.0000e-02 eta: 1 day, 5:41:49 time: 0.2826 data_time: 0.0228 memory: 8198 grad_norm: 5.0768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5480 loss: 1.5480 2022/08/02 22:46:50 - mmengine - INFO - Epoch(train) [57][160/1879] lr: 1.0000e-02 eta: 1 day, 5:41:43 time: 0.2850 data_time: 0.0219 memory: 8198 grad_norm: 5.0561 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7968 loss: 1.7968 2022/08/02 22:46:55 - mmengine - INFO - Epoch(train) [57][180/1879] lr: 1.0000e-02 eta: 1 day, 5:41:38 time: 0.2854 data_time: 0.0231 memory: 8198 grad_norm: 5.1157 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6627 loss: 1.6627 2022/08/02 22:47:01 - mmengine - INFO - Epoch(train) [57][200/1879] lr: 1.0000e-02 eta: 1 day, 5:41:32 time: 0.2847 data_time: 0.0245 memory: 8198 grad_norm: 5.0662 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6700 loss: 1.6700 2022/08/02 22:47:07 - mmengine - INFO - Epoch(train) [57][220/1879] lr: 1.0000e-02 eta: 1 day, 5:41:26 time: 0.2857 data_time: 0.0246 memory: 8198 grad_norm: 5.1815 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7432 loss: 1.7432 2022/08/02 22:47:13 - mmengine - INFO - Epoch(train) [57][240/1879] lr: 1.0000e-02 eta: 1 day, 5:41:21 time: 0.2909 data_time: 0.0203 memory: 8198 grad_norm: 5.1114 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7964 loss: 1.7964 2022/08/02 22:47:18 - mmengine - INFO - Epoch(train) [57][260/1879] lr: 1.0000e-02 eta: 1 day, 5:41:15 time: 0.2814 data_time: 0.0210 memory: 8198 grad_norm: 4.9649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6611 loss: 1.6611 2022/08/02 22:47:24 - mmengine - INFO - Epoch(train) [57][280/1879] lr: 1.0000e-02 eta: 1 day, 5:41:09 time: 0.2805 data_time: 0.0232 memory: 8198 grad_norm: 5.1696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5836 loss: 1.5836 2022/08/02 22:47:30 - mmengine - INFO - Epoch(train) [57][300/1879] lr: 1.0000e-02 eta: 1 day, 5:41:03 time: 0.2852 data_time: 0.0227 memory: 8198 grad_norm: 5.1333 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7086 loss: 1.7086 2022/08/02 22:47:36 - mmengine - INFO - Epoch(train) [57][320/1879] lr: 1.0000e-02 eta: 1 day, 5:40:58 time: 0.2927 data_time: 0.0208 memory: 8198 grad_norm: 4.9640 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8676 loss: 1.8676 2022/08/02 22:47:41 - mmengine - INFO - Epoch(train) [57][340/1879] lr: 1.0000e-02 eta: 1 day, 5:40:53 time: 0.2880 data_time: 0.0260 memory: 8198 grad_norm: 5.0990 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6064 loss: 1.6064 2022/08/02 22:47:47 - mmengine - INFO - Epoch(train) [57][360/1879] lr: 1.0000e-02 eta: 1 day, 5:40:47 time: 0.2862 data_time: 0.0238 memory: 8198 grad_norm: 5.1694 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7775 loss: 1.7775 2022/08/02 22:47:53 - mmengine - INFO - Epoch(train) [57][380/1879] lr: 1.0000e-02 eta: 1 day, 5:40:42 time: 0.2849 data_time: 0.0204 memory: 8198 grad_norm: 5.0610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7096 loss: 1.7096 2022/08/02 22:47:58 - mmengine - INFO - Epoch(train) [57][400/1879] lr: 1.0000e-02 eta: 1 day, 5:40:36 time: 0.2879 data_time: 0.0317 memory: 8198 grad_norm: 5.1640 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8625 loss: 1.8625 2022/08/02 22:48:04 - mmengine - INFO - Epoch(train) [57][420/1879] lr: 1.0000e-02 eta: 1 day, 5:40:31 time: 0.2850 data_time: 0.0277 memory: 8198 grad_norm: 5.0868 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7085 loss: 1.7085 2022/08/02 22:48:10 - mmengine - INFO - Epoch(train) [57][440/1879] lr: 1.0000e-02 eta: 1 day, 5:40:25 time: 0.2832 data_time: 0.0204 memory: 8198 grad_norm: 5.1198 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7233 loss: 1.7233 2022/08/02 22:48:16 - mmengine - INFO - Epoch(train) [57][460/1879] lr: 1.0000e-02 eta: 1 day, 5:40:19 time: 0.2832 data_time: 0.0221 memory: 8198 grad_norm: 5.1930 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6484 loss: 1.6484 2022/08/02 22:48:21 - mmengine - INFO - Epoch(train) [57][480/1879] lr: 1.0000e-02 eta: 1 day, 5:40:14 time: 0.2887 data_time: 0.0234 memory: 8198 grad_norm: 5.1022 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7479 loss: 1.7479 2022/08/02 22:48:27 - mmengine - INFO - Epoch(train) [57][500/1879] lr: 1.0000e-02 eta: 1 day, 5:40:07 time: 0.2779 data_time: 0.0241 memory: 8198 grad_norm: 5.3310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6595 loss: 1.6595 2022/08/02 22:48:33 - mmengine - INFO - Epoch(train) [57][520/1879] lr: 1.0000e-02 eta: 1 day, 5:40:02 time: 0.2901 data_time: 0.0226 memory: 8198 grad_norm: 5.1884 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7547 loss: 1.7547 2022/08/02 22:48:38 - mmengine - INFO - Epoch(train) [57][540/1879] lr: 1.0000e-02 eta: 1 day, 5:39:56 time: 0.2848 data_time: 0.0243 memory: 8198 grad_norm: 5.3335 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5401 loss: 1.5401 2022/08/02 22:48:44 - mmengine - INFO - Epoch(train) [57][560/1879] lr: 1.0000e-02 eta: 1 day, 5:39:51 time: 0.2854 data_time: 0.0218 memory: 8198 grad_norm: 4.9067 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5583 loss: 1.5583 2022/08/02 22:48:50 - mmengine - INFO - Epoch(train) [57][580/1879] lr: 1.0000e-02 eta: 1 day, 5:39:45 time: 0.2811 data_time: 0.0240 memory: 8198 grad_norm: 5.1475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7920 loss: 1.7920 2022/08/02 22:48:55 - mmengine - INFO - Epoch(train) [57][600/1879] lr: 1.0000e-02 eta: 1 day, 5:39:39 time: 0.2832 data_time: 0.0208 memory: 8198 grad_norm: 5.2294 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4412 loss: 1.4412 2022/08/02 22:49:01 - mmengine - INFO - Epoch(train) [57][620/1879] lr: 1.0000e-02 eta: 1 day, 5:39:33 time: 0.2846 data_time: 0.0235 memory: 8198 grad_norm: 5.0960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6106 loss: 1.6106 2022/08/02 22:49:07 - mmengine - INFO - Epoch(train) [57][640/1879] lr: 1.0000e-02 eta: 1 day, 5:39:28 time: 0.2832 data_time: 0.0234 memory: 8198 grad_norm: 5.1964 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8293 loss: 1.8293 2022/08/02 22:49:13 - mmengine - INFO - Epoch(train) [57][660/1879] lr: 1.0000e-02 eta: 1 day, 5:39:22 time: 0.2829 data_time: 0.0220 memory: 8198 grad_norm: 5.0206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7694 loss: 1.7694 2022/08/02 22:49:18 - mmengine - INFO - Epoch(train) [57][680/1879] lr: 1.0000e-02 eta: 1 day, 5:39:16 time: 0.2896 data_time: 0.0257 memory: 8198 grad_norm: 5.1258 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8373 loss: 1.8373 2022/08/02 22:49:24 - mmengine - INFO - Epoch(train) [57][700/1879] lr: 1.0000e-02 eta: 1 day, 5:39:11 time: 0.2867 data_time: 0.0210 memory: 8198 grad_norm: 5.0824 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7759 loss: 1.7759 2022/08/02 22:49:30 - mmengine - INFO - Epoch(train) [57][720/1879] lr: 1.0000e-02 eta: 1 day, 5:39:05 time: 0.2806 data_time: 0.0183 memory: 8198 grad_norm: 5.1844 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7288 loss: 1.7288 2022/08/02 22:49:35 - mmengine - INFO - Epoch(train) [57][740/1879] lr: 1.0000e-02 eta: 1 day, 5:38:59 time: 0.2828 data_time: 0.0245 memory: 8198 grad_norm: 5.1085 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6948 loss: 1.6948 2022/08/02 22:49:41 - mmengine - INFO - Epoch(train) [57][760/1879] lr: 1.0000e-02 eta: 1 day, 5:38:53 time: 0.2863 data_time: 0.0272 memory: 8198 grad_norm: 5.1005 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6440 loss: 1.6440 2022/08/02 22:49:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:49:47 - mmengine - INFO - Epoch(train) [57][780/1879] lr: 1.0000e-02 eta: 1 day, 5:38:48 time: 0.2893 data_time: 0.0259 memory: 8198 grad_norm: 5.0899 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8270 loss: 1.8270 2022/08/02 22:49:53 - mmengine - INFO - Epoch(train) [57][800/1879] lr: 1.0000e-02 eta: 1 day, 5:38:43 time: 0.2858 data_time: 0.0221 memory: 8198 grad_norm: 5.1443 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6292 loss: 1.6292 2022/08/02 22:49:58 - mmengine - INFO - Epoch(train) [57][820/1879] lr: 1.0000e-02 eta: 1 day, 5:38:37 time: 0.2803 data_time: 0.0233 memory: 8198 grad_norm: 5.0057 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7107 loss: 1.7107 2022/08/02 22:50:04 - mmengine - INFO - Epoch(train) [57][840/1879] lr: 1.0000e-02 eta: 1 day, 5:38:31 time: 0.2850 data_time: 0.0220 memory: 8198 grad_norm: 5.1955 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6775 loss: 1.6775 2022/08/02 22:50:10 - mmengine - INFO - Epoch(train) [57][860/1879] lr: 1.0000e-02 eta: 1 day, 5:38:25 time: 0.2840 data_time: 0.0221 memory: 8198 grad_norm: 5.1122 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6406 loss: 1.6406 2022/08/02 22:50:15 - mmengine - INFO - Epoch(train) [57][880/1879] lr: 1.0000e-02 eta: 1 day, 5:38:19 time: 0.2825 data_time: 0.0210 memory: 8198 grad_norm: 5.2343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6989 loss: 1.6989 2022/08/02 22:50:21 - mmengine - INFO - Epoch(train) [57][900/1879] lr: 1.0000e-02 eta: 1 day, 5:38:13 time: 0.2829 data_time: 0.0279 memory: 8198 grad_norm: 5.2610 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7906 loss: 1.7906 2022/08/02 22:50:27 - mmengine - INFO - Epoch(train) [57][920/1879] lr: 1.0000e-02 eta: 1 day, 5:38:08 time: 0.2808 data_time: 0.0212 memory: 8198 grad_norm: 5.1940 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7588 loss: 1.7588 2022/08/02 22:50:32 - mmengine - INFO - Epoch(train) [57][940/1879] lr: 1.0000e-02 eta: 1 day, 5:38:02 time: 0.2842 data_time: 0.0194 memory: 8198 grad_norm: 5.1610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7725 loss: 1.7725 2022/08/02 22:50:38 - mmengine - INFO - Epoch(train) [57][960/1879] lr: 1.0000e-02 eta: 1 day, 5:37:56 time: 0.2807 data_time: 0.0200 memory: 8198 grad_norm: 5.1582 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7378 loss: 1.7378 2022/08/02 22:50:44 - mmengine - INFO - Epoch(train) [57][980/1879] lr: 1.0000e-02 eta: 1 day, 5:37:50 time: 0.2829 data_time: 0.0245 memory: 8198 grad_norm: 5.0862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7255 loss: 1.7255 2022/08/02 22:50:49 - mmengine - INFO - Epoch(train) [57][1000/1879] lr: 1.0000e-02 eta: 1 day, 5:37:44 time: 0.2861 data_time: 0.0209 memory: 8198 grad_norm: 5.2027 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7748 loss: 1.7748 2022/08/02 22:50:55 - mmengine - INFO - Epoch(train) [57][1020/1879] lr: 1.0000e-02 eta: 1 day, 5:37:39 time: 0.2902 data_time: 0.0242 memory: 8198 grad_norm: 5.0078 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/08/02 22:51:01 - mmengine - INFO - Epoch(train) [57][1040/1879] lr: 1.0000e-02 eta: 1 day, 5:37:33 time: 0.2830 data_time: 0.0195 memory: 8198 grad_norm: 5.2119 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5732 loss: 1.5732 2022/08/02 22:51:06 - mmengine - INFO - Epoch(train) [57][1060/1879] lr: 1.0000e-02 eta: 1 day, 5:37:28 time: 0.2842 data_time: 0.0259 memory: 8198 grad_norm: 5.2530 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7172 loss: 1.7172 2022/08/02 22:51:12 - mmengine - INFO - Epoch(train) [57][1080/1879] lr: 1.0000e-02 eta: 1 day, 5:37:22 time: 0.2802 data_time: 0.0215 memory: 8198 grad_norm: 5.0985 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9445 loss: 1.9445 2022/08/02 22:51:18 - mmengine - INFO - Epoch(train) [57][1100/1879] lr: 1.0000e-02 eta: 1 day, 5:37:16 time: 0.2850 data_time: 0.0251 memory: 8198 grad_norm: 5.1345 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7576 loss: 1.7576 2022/08/02 22:51:24 - mmengine - INFO - Epoch(train) [57][1120/1879] lr: 1.0000e-02 eta: 1 day, 5:37:11 time: 0.3003 data_time: 0.0361 memory: 8198 grad_norm: 5.1947 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6779 loss: 1.6779 2022/08/02 22:51:29 - mmengine - INFO - Epoch(train) [57][1140/1879] lr: 1.0000e-02 eta: 1 day, 5:37:06 time: 0.2835 data_time: 0.0229 memory: 8198 grad_norm: 5.1298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8002 loss: 1.8002 2022/08/02 22:51:35 - mmengine - INFO - Epoch(train) [57][1160/1879] lr: 1.0000e-02 eta: 1 day, 5:37:00 time: 0.2837 data_time: 0.0237 memory: 8198 grad_norm: 5.1068 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6982 loss: 1.6982 2022/08/02 22:51:41 - mmengine - INFO - Epoch(train) [57][1180/1879] lr: 1.0000e-02 eta: 1 day, 5:36:54 time: 0.2837 data_time: 0.0201 memory: 8198 grad_norm: 5.2207 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7714 loss: 1.7714 2022/08/02 22:51:47 - mmengine - INFO - Epoch(train) [57][1200/1879] lr: 1.0000e-02 eta: 1 day, 5:36:48 time: 0.2846 data_time: 0.0267 memory: 8198 grad_norm: 5.2861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7840 loss: 1.7840 2022/08/02 22:51:52 - mmengine - INFO - Epoch(train) [57][1220/1879] lr: 1.0000e-02 eta: 1 day, 5:36:43 time: 0.2825 data_time: 0.0191 memory: 8198 grad_norm: 5.2314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7984 loss: 1.7984 2022/08/02 22:51:58 - mmengine - INFO - Epoch(train) [57][1240/1879] lr: 1.0000e-02 eta: 1 day, 5:36:38 time: 0.2953 data_time: 0.0236 memory: 8198 grad_norm: 5.2600 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.7322 loss: 1.7322 2022/08/02 22:52:04 - mmengine - INFO - Epoch(train) [57][1260/1879] lr: 1.0000e-02 eta: 1 day, 5:36:32 time: 0.2856 data_time: 0.0221 memory: 8198 grad_norm: 5.0379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6069 loss: 1.6069 2022/08/02 22:52:10 - mmengine - INFO - Epoch(train) [57][1280/1879] lr: 1.0000e-02 eta: 1 day, 5:36:26 time: 0.2850 data_time: 0.0212 memory: 8198 grad_norm: 5.1455 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6251 loss: 1.6251 2022/08/02 22:52:15 - mmengine - INFO - Epoch(train) [57][1300/1879] lr: 1.0000e-02 eta: 1 day, 5:36:21 time: 0.2935 data_time: 0.0326 memory: 8198 grad_norm: 5.1769 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6906 loss: 1.6906 2022/08/02 22:52:21 - mmengine - INFO - Epoch(train) [57][1320/1879] lr: 1.0000e-02 eta: 1 day, 5:36:15 time: 0.2777 data_time: 0.0184 memory: 8198 grad_norm: 5.2086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5642 loss: 1.5642 2022/08/02 22:52:28 - mmengine - INFO - Epoch(train) [57][1340/1879] lr: 1.0000e-02 eta: 1 day, 5:36:12 time: 0.3248 data_time: 0.0462 memory: 8198 grad_norm: 5.1597 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6705 loss: 1.6705 2022/08/02 22:52:33 - mmengine - INFO - Epoch(train) [57][1360/1879] lr: 1.0000e-02 eta: 1 day, 5:36:06 time: 0.2824 data_time: 0.0257 memory: 8198 grad_norm: 5.2880 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7899 loss: 1.7899 2022/08/02 22:52:39 - mmengine - INFO - Epoch(train) [57][1380/1879] lr: 1.0000e-02 eta: 1 day, 5:36:00 time: 0.2808 data_time: 0.0238 memory: 8198 grad_norm: 5.1341 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7124 loss: 1.7124 2022/08/02 22:52:45 - mmengine - INFO - Epoch(train) [57][1400/1879] lr: 1.0000e-02 eta: 1 day, 5:35:55 time: 0.2918 data_time: 0.0187 memory: 8198 grad_norm: 5.2139 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6599 loss: 1.6599 2022/08/02 22:52:50 - mmengine - INFO - Epoch(train) [57][1420/1879] lr: 1.0000e-02 eta: 1 day, 5:35:49 time: 0.2824 data_time: 0.0236 memory: 8198 grad_norm: 5.0850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6813 loss: 1.6813 2022/08/02 22:52:56 - mmengine - INFO - Epoch(train) [57][1440/1879] lr: 1.0000e-02 eta: 1 day, 5:35:43 time: 0.2801 data_time: 0.0254 memory: 8198 grad_norm: 5.1311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7566 loss: 1.7566 2022/08/02 22:53:02 - mmengine - INFO - Epoch(train) [57][1460/1879] lr: 1.0000e-02 eta: 1 day, 5:35:38 time: 0.2900 data_time: 0.0293 memory: 8198 grad_norm: 5.0892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8240 loss: 1.8240 2022/08/02 22:53:07 - mmengine - INFO - Epoch(train) [57][1480/1879] lr: 1.0000e-02 eta: 1 day, 5:35:32 time: 0.2797 data_time: 0.0221 memory: 8198 grad_norm: 5.0789 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7768 loss: 1.7768 2022/08/02 22:53:13 - mmengine - INFO - Epoch(train) [57][1500/1879] lr: 1.0000e-02 eta: 1 day, 5:35:26 time: 0.2859 data_time: 0.0253 memory: 8198 grad_norm: 5.1001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6641 loss: 1.6641 2022/08/02 22:53:19 - mmengine - INFO - Epoch(train) [57][1520/1879] lr: 1.0000e-02 eta: 1 day, 5:35:21 time: 0.2811 data_time: 0.0182 memory: 8198 grad_norm: 5.0480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6623 loss: 1.6623 2022/08/02 22:53:25 - mmengine - INFO - Epoch(train) [57][1540/1879] lr: 1.0000e-02 eta: 1 day, 5:35:15 time: 0.2932 data_time: 0.0250 memory: 8198 grad_norm: 5.1872 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6503 loss: 1.6503 2022/08/02 22:53:30 - mmengine - INFO - Epoch(train) [57][1560/1879] lr: 1.0000e-02 eta: 1 day, 5:35:09 time: 0.2813 data_time: 0.0206 memory: 8198 grad_norm: 5.0109 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7830 loss: 1.7830 2022/08/02 22:53:36 - mmengine - INFO - Epoch(train) [57][1580/1879] lr: 1.0000e-02 eta: 1 day, 5:35:04 time: 0.2867 data_time: 0.0260 memory: 8198 grad_norm: 5.1310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6996 loss: 1.6996 2022/08/02 22:53:42 - mmengine - INFO - Epoch(train) [57][1600/1879] lr: 1.0000e-02 eta: 1 day, 5:34:58 time: 0.2839 data_time: 0.0241 memory: 8198 grad_norm: 5.1432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7572 loss: 1.7572 2022/08/02 22:53:47 - mmengine - INFO - Epoch(train) [57][1620/1879] lr: 1.0000e-02 eta: 1 day, 5:34:52 time: 0.2821 data_time: 0.0253 memory: 8198 grad_norm: 5.0043 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7646 loss: 1.7646 2022/08/02 22:53:53 - mmengine - INFO - Epoch(train) [57][1640/1879] lr: 1.0000e-02 eta: 1 day, 5:34:47 time: 0.2936 data_time: 0.0258 memory: 8198 grad_norm: 5.1526 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7756 loss: 1.7756 2022/08/02 22:53:59 - mmengine - INFO - Epoch(train) [57][1660/1879] lr: 1.0000e-02 eta: 1 day, 5:34:41 time: 0.2811 data_time: 0.0252 memory: 8198 grad_norm: 5.1024 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6581 loss: 1.6581 2022/08/02 22:54:04 - mmengine - INFO - Epoch(train) [57][1680/1879] lr: 1.0000e-02 eta: 1 day, 5:34:35 time: 0.2823 data_time: 0.0229 memory: 8198 grad_norm: 5.1399 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7777 loss: 1.7777 2022/08/02 22:54:10 - mmengine - INFO - Epoch(train) [57][1700/1879] lr: 1.0000e-02 eta: 1 day, 5:34:30 time: 0.2824 data_time: 0.0260 memory: 8198 grad_norm: 5.0098 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6590 loss: 1.6590 2022/08/02 22:54:16 - mmengine - INFO - Epoch(train) [57][1720/1879] lr: 1.0000e-02 eta: 1 day, 5:34:24 time: 0.2795 data_time: 0.0221 memory: 8198 grad_norm: 5.3191 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/02 22:54:21 - mmengine - INFO - Epoch(train) [57][1740/1879] lr: 1.0000e-02 eta: 1 day, 5:34:18 time: 0.2824 data_time: 0.0207 memory: 8198 grad_norm: 5.3331 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7727 loss: 1.7727 2022/08/02 22:54:27 - mmengine - INFO - Epoch(train) [57][1760/1879] lr: 1.0000e-02 eta: 1 day, 5:34:13 time: 0.2944 data_time: 0.0239 memory: 8198 grad_norm: 5.3123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7361 loss: 1.7361 2022/08/02 22:54:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:54:33 - mmengine - INFO - Epoch(train) [57][1780/1879] lr: 1.0000e-02 eta: 1 day, 5:34:07 time: 0.2849 data_time: 0.0233 memory: 8198 grad_norm: 5.2298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8507 loss: 1.8507 2022/08/02 22:54:39 - mmengine - INFO - Epoch(train) [57][1800/1879] lr: 1.0000e-02 eta: 1 day, 5:34:01 time: 0.2828 data_time: 0.0270 memory: 8198 grad_norm: 5.1385 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8183 loss: 1.8183 2022/08/02 22:54:44 - mmengine - INFO - Epoch(train) [57][1820/1879] lr: 1.0000e-02 eta: 1 day, 5:33:56 time: 0.2872 data_time: 0.0217 memory: 8198 grad_norm: 5.1372 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7997 loss: 1.7997 2022/08/02 22:54:50 - mmengine - INFO - Epoch(train) [57][1840/1879] lr: 1.0000e-02 eta: 1 day, 5:33:50 time: 0.2824 data_time: 0.0220 memory: 8198 grad_norm: 5.1044 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8967 loss: 1.8967 2022/08/02 22:54:56 - mmengine - INFO - Epoch(train) [57][1860/1879] lr: 1.0000e-02 eta: 1 day, 5:33:44 time: 0.2837 data_time: 0.0215 memory: 8198 grad_norm: 5.0693 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7957 loss: 1.7957 2022/08/02 22:55:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:55:01 - mmengine - INFO - Epoch(train) [57][1879/1879] lr: 1.0000e-02 eta: 1 day, 5:33:44 time: 0.2538 data_time: 0.0148 memory: 8198 grad_norm: 5.2555 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0233 loss: 2.0233 2022/08/02 22:55:09 - mmengine - INFO - Epoch(train) [58][20/1879] lr: 1.0000e-02 eta: 1 day, 5:33:24 time: 0.4231 data_time: 0.1333 memory: 8198 grad_norm: 5.0166 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7577 loss: 1.7577 2022/08/02 22:55:15 - mmengine - INFO - Epoch(train) [58][40/1879] lr: 1.0000e-02 eta: 1 day, 5:33:18 time: 0.2846 data_time: 0.0190 memory: 8198 grad_norm: 5.0079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7496 loss: 1.7496 2022/08/02 22:55:21 - mmengine - INFO - Epoch(train) [58][60/1879] lr: 1.0000e-02 eta: 1 day, 5:33:15 time: 0.3213 data_time: 0.0252 memory: 8198 grad_norm: 5.0488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6386 loss: 1.6386 2022/08/02 22:55:27 - mmengine - INFO - Epoch(train) [58][80/1879] lr: 1.0000e-02 eta: 1 day, 5:33:10 time: 0.2884 data_time: 0.0241 memory: 8198 grad_norm: 5.1276 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9352 loss: 1.9352 2022/08/02 22:55:33 - mmengine - INFO - Epoch(train) [58][100/1879] lr: 1.0000e-02 eta: 1 day, 5:33:04 time: 0.2810 data_time: 0.0240 memory: 8198 grad_norm: 5.0410 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5826 loss: 1.5826 2022/08/02 22:55:38 - mmengine - INFO - Epoch(train) [58][120/1879] lr: 1.0000e-02 eta: 1 day, 5:32:58 time: 0.2833 data_time: 0.0248 memory: 8198 grad_norm: 5.0645 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7903 loss: 1.7903 2022/08/02 22:55:44 - mmengine - INFO - Epoch(train) [58][140/1879] lr: 1.0000e-02 eta: 1 day, 5:32:52 time: 0.2851 data_time: 0.0309 memory: 8198 grad_norm: 4.9885 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4658 loss: 1.4658 2022/08/02 22:55:50 - mmengine - INFO - Epoch(train) [58][160/1879] lr: 1.0000e-02 eta: 1 day, 5:32:46 time: 0.2803 data_time: 0.0224 memory: 8198 grad_norm: 5.0176 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6461 loss: 1.6461 2022/08/02 22:55:55 - mmengine - INFO - Epoch(train) [58][180/1879] lr: 1.0000e-02 eta: 1 day, 5:32:41 time: 0.2902 data_time: 0.0340 memory: 8198 grad_norm: 5.2194 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6483 loss: 1.6483 2022/08/02 22:56:01 - mmengine - INFO - Epoch(train) [58][200/1879] lr: 1.0000e-02 eta: 1 day, 5:32:35 time: 0.2814 data_time: 0.0220 memory: 8198 grad_norm: 5.1350 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6953 loss: 1.6953 2022/08/02 22:56:07 - mmengine - INFO - Epoch(train) [58][220/1879] lr: 1.0000e-02 eta: 1 day, 5:32:30 time: 0.2898 data_time: 0.0228 memory: 8198 grad_norm: 5.0368 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8126 loss: 1.8126 2022/08/02 22:56:13 - mmengine - INFO - Epoch(train) [58][240/1879] lr: 1.0000e-02 eta: 1 day, 5:32:24 time: 0.2834 data_time: 0.0219 memory: 8198 grad_norm: 5.1581 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6836 loss: 1.6836 2022/08/02 22:56:18 - mmengine - INFO - Epoch(train) [58][260/1879] lr: 1.0000e-02 eta: 1 day, 5:32:18 time: 0.2824 data_time: 0.0273 memory: 8198 grad_norm: 5.2172 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6003 loss: 1.6003 2022/08/02 22:56:24 - mmengine - INFO - Epoch(train) [58][280/1879] lr: 1.0000e-02 eta: 1 day, 5:32:12 time: 0.2855 data_time: 0.0236 memory: 8198 grad_norm: 5.2148 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6087 loss: 1.6087 2022/08/02 22:56:30 - mmengine - INFO - Epoch(train) [58][300/1879] lr: 1.0000e-02 eta: 1 day, 5:32:06 time: 0.2802 data_time: 0.0272 memory: 8198 grad_norm: 5.1919 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6016 loss: 1.6016 2022/08/02 22:56:35 - mmengine - INFO - Epoch(train) [58][320/1879] lr: 1.0000e-02 eta: 1 day, 5:32:01 time: 0.2852 data_time: 0.0201 memory: 8198 grad_norm: 5.2173 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6266 loss: 1.6266 2022/08/02 22:56:41 - mmengine - INFO - Epoch(train) [58][340/1879] lr: 1.0000e-02 eta: 1 day, 5:31:55 time: 0.2805 data_time: 0.0228 memory: 8198 grad_norm: 5.0505 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6852 loss: 1.6852 2022/08/02 22:56:47 - mmengine - INFO - Epoch(train) [58][360/1879] lr: 1.0000e-02 eta: 1 day, 5:31:50 time: 0.2905 data_time: 0.0241 memory: 8198 grad_norm: 5.0849 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7453 loss: 1.7453 2022/08/02 22:56:53 - mmengine - INFO - Epoch(train) [58][380/1879] lr: 1.0000e-02 eta: 1 day, 5:31:45 time: 0.2953 data_time: 0.0232 memory: 8198 grad_norm: 5.0343 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7170 loss: 1.7170 2022/08/02 22:56:58 - mmengine - INFO - Epoch(train) [58][400/1879] lr: 1.0000e-02 eta: 1 day, 5:31:38 time: 0.2785 data_time: 0.0158 memory: 8198 grad_norm: 5.1129 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6769 loss: 1.6769 2022/08/02 22:57:04 - mmengine - INFO - Epoch(train) [58][420/1879] lr: 1.0000e-02 eta: 1 day, 5:31:33 time: 0.2884 data_time: 0.0286 memory: 8198 grad_norm: 5.0976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5645 loss: 1.5645 2022/08/02 22:57:10 - mmengine - INFO - Epoch(train) [58][440/1879] lr: 1.0000e-02 eta: 1 day, 5:31:27 time: 0.2834 data_time: 0.0237 memory: 8198 grad_norm: 5.0471 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7543 loss: 1.7543 2022/08/02 22:57:15 - mmengine - INFO - Epoch(train) [58][460/1879] lr: 1.0000e-02 eta: 1 day, 5:31:21 time: 0.2823 data_time: 0.0227 memory: 8198 grad_norm: 5.1754 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/08/02 22:57:21 - mmengine - INFO - Epoch(train) [58][480/1879] lr: 1.0000e-02 eta: 1 day, 5:31:16 time: 0.2822 data_time: 0.0193 memory: 8198 grad_norm: 5.1577 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9390 loss: 1.9390 2022/08/02 22:57:27 - mmengine - INFO - Epoch(train) [58][500/1879] lr: 1.0000e-02 eta: 1 day, 5:31:10 time: 0.2840 data_time: 0.0276 memory: 8198 grad_norm: 5.1646 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7105 loss: 1.7105 2022/08/02 22:57:33 - mmengine - INFO - Epoch(train) [58][520/1879] lr: 1.0000e-02 eta: 1 day, 5:31:05 time: 0.2908 data_time: 0.0240 memory: 8198 grad_norm: 5.0622 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5965 loss: 1.5965 2022/08/02 22:57:38 - mmengine - INFO - Epoch(train) [58][540/1879] lr: 1.0000e-02 eta: 1 day, 5:30:59 time: 0.2830 data_time: 0.0233 memory: 8198 grad_norm: 4.9604 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6227 loss: 1.6227 2022/08/02 22:57:44 - mmengine - INFO - Epoch(train) [58][560/1879] lr: 1.0000e-02 eta: 1 day, 5:30:53 time: 0.2853 data_time: 0.0214 memory: 8198 grad_norm: 5.1489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5903 loss: 1.5903 2022/08/02 22:57:50 - mmengine - INFO - Epoch(train) [58][580/1879] lr: 1.0000e-02 eta: 1 day, 5:30:47 time: 0.2830 data_time: 0.0223 memory: 8198 grad_norm: 5.1897 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5452 loss: 1.5452 2022/08/02 22:57:55 - mmengine - INFO - Epoch(train) [58][600/1879] lr: 1.0000e-02 eta: 1 day, 5:30:42 time: 0.2873 data_time: 0.0244 memory: 8198 grad_norm: 5.2241 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8212 loss: 1.8212 2022/08/02 22:58:01 - mmengine - INFO - Epoch(train) [58][620/1879] lr: 1.0000e-02 eta: 1 day, 5:30:36 time: 0.2813 data_time: 0.0215 memory: 8198 grad_norm: 5.1609 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5605 loss: 1.5605 2022/08/02 22:58:07 - mmengine - INFO - Epoch(train) [58][640/1879] lr: 1.0000e-02 eta: 1 day, 5:30:30 time: 0.2867 data_time: 0.0185 memory: 8198 grad_norm: 5.0039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7497 loss: 1.7497 2022/08/02 22:58:13 - mmengine - INFO - Epoch(train) [58][660/1879] lr: 1.0000e-02 eta: 1 day, 5:30:25 time: 0.2924 data_time: 0.0248 memory: 8198 grad_norm: 4.8740 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5712 loss: 1.5712 2022/08/02 22:58:18 - mmengine - INFO - Epoch(train) [58][680/1879] lr: 1.0000e-02 eta: 1 day, 5:30:19 time: 0.2809 data_time: 0.0203 memory: 8198 grad_norm: 5.1493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6919 loss: 1.6919 2022/08/02 22:58:24 - mmengine - INFO - Epoch(train) [58][700/1879] lr: 1.0000e-02 eta: 1 day, 5:30:14 time: 0.2947 data_time: 0.0205 memory: 8198 grad_norm: 5.0535 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6654 loss: 1.6654 2022/08/02 22:58:30 - mmengine - INFO - Epoch(train) [58][720/1879] lr: 1.0000e-02 eta: 1 day, 5:30:08 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 5.1177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5922 loss: 1.5922 2022/08/02 22:58:35 - mmengine - INFO - Epoch(train) [58][740/1879] lr: 1.0000e-02 eta: 1 day, 5:30:03 time: 0.2836 data_time: 0.0250 memory: 8198 grad_norm: 5.2707 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/08/02 22:58:41 - mmengine - INFO - Epoch(train) [58][760/1879] lr: 1.0000e-02 eta: 1 day, 5:29:57 time: 0.2813 data_time: 0.0248 memory: 8198 grad_norm: 4.9882 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7728 loss: 1.7728 2022/08/02 22:58:47 - mmengine - INFO - Epoch(train) [58][780/1879] lr: 1.0000e-02 eta: 1 day, 5:29:51 time: 0.2828 data_time: 0.0256 memory: 8198 grad_norm: 5.0296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8466 loss: 1.8466 2022/08/02 22:58:52 - mmengine - INFO - Epoch(train) [58][800/1879] lr: 1.0000e-02 eta: 1 day, 5:29:45 time: 0.2850 data_time: 0.0208 memory: 8198 grad_norm: 5.3440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/08/02 22:58:58 - mmengine - INFO - Epoch(train) [58][820/1879] lr: 1.0000e-02 eta: 1 day, 5:29:39 time: 0.2827 data_time: 0.0262 memory: 8198 grad_norm: 5.1317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6442 loss: 1.6442 2022/08/02 22:59:04 - mmengine - INFO - Epoch(train) [58][840/1879] lr: 1.0000e-02 eta: 1 day, 5:29:34 time: 0.2864 data_time: 0.0212 memory: 8198 grad_norm: 5.1169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5830 loss: 1.5830 2022/08/02 22:59:10 - mmengine - INFO - Epoch(train) [58][860/1879] lr: 1.0000e-02 eta: 1 day, 5:29:28 time: 0.2846 data_time: 0.0250 memory: 8198 grad_norm: 5.1572 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6787 loss: 1.6787 2022/08/02 22:59:15 - mmengine - INFO - Epoch(train) [58][880/1879] lr: 1.0000e-02 eta: 1 day, 5:29:22 time: 0.2797 data_time: 0.0224 memory: 8198 grad_norm: 5.1328 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5441 loss: 1.5441 2022/08/02 22:59:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 22:59:21 - mmengine - INFO - Epoch(train) [58][900/1879] lr: 1.0000e-02 eta: 1 day, 5:29:16 time: 0.2799 data_time: 0.0210 memory: 8198 grad_norm: 5.0916 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7454 loss: 1.7454 2022/08/02 22:59:26 - mmengine - INFO - Epoch(train) [58][920/1879] lr: 1.0000e-02 eta: 1 day, 5:29:10 time: 0.2852 data_time: 0.0153 memory: 8198 grad_norm: 5.1027 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6528 loss: 1.6528 2022/08/02 22:59:32 - mmengine - INFO - Epoch(train) [58][940/1879] lr: 1.0000e-02 eta: 1 day, 5:29:05 time: 0.2837 data_time: 0.0222 memory: 8198 grad_norm: 5.1272 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4208 loss: 1.4208 2022/08/02 22:59:38 - mmengine - INFO - Epoch(train) [58][960/1879] lr: 1.0000e-02 eta: 1 day, 5:28:59 time: 0.2826 data_time: 0.0226 memory: 8198 grad_norm: 5.2370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/08/02 22:59:44 - mmengine - INFO - Epoch(train) [58][980/1879] lr: 1.0000e-02 eta: 1 day, 5:28:53 time: 0.2878 data_time: 0.0239 memory: 8198 grad_norm: 5.1069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8086 loss: 1.8086 2022/08/02 22:59:49 - mmengine - INFO - Epoch(train) [58][1000/1879] lr: 1.0000e-02 eta: 1 day, 5:28:48 time: 0.2826 data_time: 0.0218 memory: 8198 grad_norm: 5.0771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7255 loss: 1.7255 2022/08/02 22:59:55 - mmengine - INFO - Epoch(train) [58][1020/1879] lr: 1.0000e-02 eta: 1 day, 5:28:42 time: 0.2850 data_time: 0.0238 memory: 8198 grad_norm: 5.0391 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6362 loss: 1.6362 2022/08/02 23:00:01 - mmengine - INFO - Epoch(train) [58][1040/1879] lr: 1.0000e-02 eta: 1 day, 5:28:36 time: 0.2850 data_time: 0.0228 memory: 8198 grad_norm: 5.1205 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6378 loss: 1.6378 2022/08/02 23:00:06 - mmengine - INFO - Epoch(train) [58][1060/1879] lr: 1.0000e-02 eta: 1 day, 5:28:31 time: 0.2894 data_time: 0.0287 memory: 8198 grad_norm: 5.2157 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6744 loss: 1.6744 2022/08/02 23:00:12 - mmengine - INFO - Epoch(train) [58][1080/1879] lr: 1.0000e-02 eta: 1 day, 5:28:25 time: 0.2822 data_time: 0.0251 memory: 8198 grad_norm: 5.2174 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9081 loss: 1.9081 2022/08/02 23:00:18 - mmengine - INFO - Epoch(train) [58][1100/1879] lr: 1.0000e-02 eta: 1 day, 5:28:19 time: 0.2829 data_time: 0.0263 memory: 8198 grad_norm: 5.2689 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8393 loss: 1.8393 2022/08/02 23:00:24 - mmengine - INFO - Epoch(train) [58][1120/1879] lr: 1.0000e-02 eta: 1 day, 5:28:14 time: 0.2859 data_time: 0.0214 memory: 8198 grad_norm: 5.3001 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9185 loss: 1.9185 2022/08/02 23:00:29 - mmengine - INFO - Epoch(train) [58][1140/1879] lr: 1.0000e-02 eta: 1 day, 5:28:08 time: 0.2854 data_time: 0.0269 memory: 8198 grad_norm: 5.1895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7094 loss: 1.7094 2022/08/02 23:00:35 - mmengine - INFO - Epoch(train) [58][1160/1879] lr: 1.0000e-02 eta: 1 day, 5:28:02 time: 0.2811 data_time: 0.0220 memory: 8198 grad_norm: 5.1078 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5061 loss: 1.5061 2022/08/02 23:00:41 - mmengine - INFO - Epoch(train) [58][1180/1879] lr: 1.0000e-02 eta: 1 day, 5:27:56 time: 0.2813 data_time: 0.0265 memory: 8198 grad_norm: 5.2931 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6311 loss: 1.6311 2022/08/02 23:00:46 - mmengine - INFO - Epoch(train) [58][1200/1879] lr: 1.0000e-02 eta: 1 day, 5:27:50 time: 0.2845 data_time: 0.0208 memory: 8198 grad_norm: 5.3301 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5505 loss: 1.5505 2022/08/02 23:00:52 - mmengine - INFO - Epoch(train) [58][1220/1879] lr: 1.0000e-02 eta: 1 day, 5:27:44 time: 0.2796 data_time: 0.0231 memory: 8198 grad_norm: 5.2344 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6456 loss: 1.6456 2022/08/02 23:00:58 - mmengine - INFO - Epoch(train) [58][1240/1879] lr: 1.0000e-02 eta: 1 day, 5:27:39 time: 0.2846 data_time: 0.0181 memory: 8198 grad_norm: 5.2402 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6728 loss: 1.6728 2022/08/02 23:01:03 - mmengine - INFO - Epoch(train) [58][1260/1879] lr: 1.0000e-02 eta: 1 day, 5:27:33 time: 0.2874 data_time: 0.0243 memory: 8198 grad_norm: 5.1751 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8730 loss: 1.8730 2022/08/02 23:01:09 - mmengine - INFO - Epoch(train) [58][1280/1879] lr: 1.0000e-02 eta: 1 day, 5:27:28 time: 0.2857 data_time: 0.0235 memory: 8198 grad_norm: 5.0864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7282 loss: 1.7282 2022/08/02 23:01:15 - mmengine - INFO - Epoch(train) [58][1300/1879] lr: 1.0000e-02 eta: 1 day, 5:27:22 time: 0.2807 data_time: 0.0229 memory: 8198 grad_norm: 5.1367 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8887 loss: 1.8887 2022/08/02 23:01:20 - mmengine - INFO - Epoch(train) [58][1320/1879] lr: 1.0000e-02 eta: 1 day, 5:27:16 time: 0.2803 data_time: 0.0220 memory: 8198 grad_norm: 5.0876 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8310 loss: 1.8310 2022/08/02 23:01:26 - mmengine - INFO - Epoch(train) [58][1340/1879] lr: 1.0000e-02 eta: 1 day, 5:27:10 time: 0.2831 data_time: 0.0240 memory: 8198 grad_norm: 5.3201 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9289 loss: 1.9289 2022/08/02 23:01:32 - mmengine - INFO - Epoch(train) [58][1360/1879] lr: 1.0000e-02 eta: 1 day, 5:27:04 time: 0.2793 data_time: 0.0208 memory: 8198 grad_norm: 5.1642 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8091 loss: 1.8091 2022/08/02 23:01:37 - mmengine - INFO - Epoch(train) [58][1380/1879] lr: 1.0000e-02 eta: 1 day, 5:26:58 time: 0.2831 data_time: 0.0219 memory: 8198 grad_norm: 5.0488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8770 loss: 1.8770 2022/08/02 23:01:43 - mmengine - INFO - Epoch(train) [58][1400/1879] lr: 1.0000e-02 eta: 1 day, 5:26:52 time: 0.2876 data_time: 0.0255 memory: 8198 grad_norm: 5.1185 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8937 loss: 1.8937 2022/08/02 23:01:49 - mmengine - INFO - Epoch(train) [58][1420/1879] lr: 1.0000e-02 eta: 1 day, 5:26:47 time: 0.2828 data_time: 0.0242 memory: 8198 grad_norm: 5.1018 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7258 loss: 1.7258 2022/08/02 23:01:54 - mmengine - INFO - Epoch(train) [58][1440/1879] lr: 1.0000e-02 eta: 1 day, 5:26:41 time: 0.2820 data_time: 0.0232 memory: 8198 grad_norm: 5.1293 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5800 loss: 1.5800 2022/08/02 23:02:00 - mmengine - INFO - Epoch(train) [58][1460/1879] lr: 1.0000e-02 eta: 1 day, 5:26:35 time: 0.2814 data_time: 0.0219 memory: 8198 grad_norm: 5.1673 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8826 loss: 1.8826 2022/08/02 23:02:06 - mmengine - INFO - Epoch(train) [58][1480/1879] lr: 1.0000e-02 eta: 1 day, 5:26:30 time: 0.2912 data_time: 0.0257 memory: 8198 grad_norm: 5.2223 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6529 loss: 1.6529 2022/08/02 23:02:11 - mmengine - INFO - Epoch(train) [58][1500/1879] lr: 1.0000e-02 eta: 1 day, 5:26:24 time: 0.2798 data_time: 0.0222 memory: 8198 grad_norm: 5.0101 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8154 loss: 1.8154 2022/08/02 23:02:17 - mmengine - INFO - Epoch(train) [58][1520/1879] lr: 1.0000e-02 eta: 1 day, 5:26:18 time: 0.2836 data_time: 0.0211 memory: 8198 grad_norm: 5.1892 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6210 loss: 1.6210 2022/08/02 23:02:23 - mmengine - INFO - Epoch(train) [58][1540/1879] lr: 1.0000e-02 eta: 1 day, 5:26:12 time: 0.2893 data_time: 0.0224 memory: 8198 grad_norm: 5.2224 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9459 loss: 1.9459 2022/08/02 23:02:29 - mmengine - INFO - Epoch(train) [58][1560/1879] lr: 1.0000e-02 eta: 1 day, 5:26:07 time: 0.2840 data_time: 0.0188 memory: 8198 grad_norm: 5.0922 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5728 loss: 1.5728 2022/08/02 23:02:34 - mmengine - INFO - Epoch(train) [58][1580/1879] lr: 1.0000e-02 eta: 1 day, 5:26:01 time: 0.2842 data_time: 0.0238 memory: 8198 grad_norm: 5.2308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6905 loss: 1.6905 2022/08/02 23:02:40 - mmengine - INFO - Epoch(train) [58][1600/1879] lr: 1.0000e-02 eta: 1 day, 5:25:55 time: 0.2799 data_time: 0.0220 memory: 8198 grad_norm: 5.0659 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6026 loss: 1.6026 2022/08/02 23:02:45 - mmengine - INFO - Epoch(train) [58][1620/1879] lr: 1.0000e-02 eta: 1 day, 5:25:49 time: 0.2814 data_time: 0.0201 memory: 8198 grad_norm: 5.1133 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8168 loss: 1.8168 2022/08/02 23:02:51 - mmengine - INFO - Epoch(train) [58][1640/1879] lr: 1.0000e-02 eta: 1 day, 5:25:43 time: 0.2843 data_time: 0.0263 memory: 8198 grad_norm: 5.0876 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6413 loss: 1.6413 2022/08/02 23:02:57 - mmengine - INFO - Epoch(train) [58][1660/1879] lr: 1.0000e-02 eta: 1 day, 5:25:38 time: 0.2882 data_time: 0.0246 memory: 8198 grad_norm: 5.0277 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8395 loss: 1.8395 2022/08/02 23:03:03 - mmengine - INFO - Epoch(train) [58][1680/1879] lr: 1.0000e-02 eta: 1 day, 5:25:32 time: 0.2874 data_time: 0.0248 memory: 8198 grad_norm: 5.1800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6790 loss: 1.6790 2022/08/02 23:03:08 - mmengine - INFO - Epoch(train) [58][1700/1879] lr: 1.0000e-02 eta: 1 day, 5:25:27 time: 0.2822 data_time: 0.0227 memory: 8198 grad_norm: 5.1016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6651 loss: 1.6651 2022/08/02 23:03:14 - mmengine - INFO - Epoch(train) [58][1720/1879] lr: 1.0000e-02 eta: 1 day, 5:25:21 time: 0.2850 data_time: 0.0222 memory: 8198 grad_norm: 5.0671 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5708 loss: 1.5708 2022/08/02 23:03:20 - mmengine - INFO - Epoch(train) [58][1740/1879] lr: 1.0000e-02 eta: 1 day, 5:25:15 time: 0.2815 data_time: 0.0247 memory: 8198 grad_norm: 5.1273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6963 loss: 1.6963 2022/08/02 23:03:25 - mmengine - INFO - Epoch(train) [58][1760/1879] lr: 1.0000e-02 eta: 1 day, 5:25:10 time: 0.2888 data_time: 0.0225 memory: 8198 grad_norm: 5.2773 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7956 loss: 1.7956 2022/08/02 23:03:31 - mmengine - INFO - Epoch(train) [58][1780/1879] lr: 1.0000e-02 eta: 1 day, 5:25:04 time: 0.2837 data_time: 0.0254 memory: 8198 grad_norm: 5.0377 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7278 loss: 1.7278 2022/08/02 23:03:37 - mmengine - INFO - Epoch(train) [58][1800/1879] lr: 1.0000e-02 eta: 1 day, 5:24:58 time: 0.2857 data_time: 0.0217 memory: 8198 grad_norm: 5.0744 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7987 loss: 1.7987 2022/08/02 23:03:43 - mmengine - INFO - Epoch(train) [58][1820/1879] lr: 1.0000e-02 eta: 1 day, 5:24:53 time: 0.2889 data_time: 0.0293 memory: 8198 grad_norm: 5.0530 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5884 loss: 1.5884 2022/08/02 23:03:48 - mmengine - INFO - Epoch(train) [58][1840/1879] lr: 1.0000e-02 eta: 1 day, 5:24:47 time: 0.2807 data_time: 0.0220 memory: 8198 grad_norm: 5.0853 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7429 loss: 1.7429 2022/08/02 23:03:54 - mmengine - INFO - Epoch(train) [58][1860/1879] lr: 1.0000e-02 eta: 1 day, 5:24:41 time: 0.2839 data_time: 0.0205 memory: 8198 grad_norm: 5.1384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/08/02 23:03:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:03:59 - mmengine - INFO - Epoch(train) [58][1879/1879] lr: 1.0000e-02 eta: 1 day, 5:24:41 time: 0.2516 data_time: 0.0134 memory: 8198 grad_norm: 5.3687 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.9291 loss: 1.9291 2022/08/02 23:04:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:04:07 - mmengine - INFO - Epoch(train) [59][20/1879] lr: 1.0000e-02 eta: 1 day, 5:24:20 time: 0.4091 data_time: 0.1352 memory: 8198 grad_norm: 4.9866 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6637 loss: 1.6637 2022/08/02 23:04:13 - mmengine - INFO - Epoch(train) [59][40/1879] lr: 1.0000e-02 eta: 1 day, 5:24:15 time: 0.2901 data_time: 0.0247 memory: 8198 grad_norm: 5.1139 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7477 loss: 1.7477 2022/08/02 23:04:19 - mmengine - INFO - Epoch(train) [59][60/1879] lr: 1.0000e-02 eta: 1 day, 5:24:09 time: 0.2884 data_time: 0.0233 memory: 8198 grad_norm: 5.3260 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9123 loss: 1.9123 2022/08/02 23:04:24 - mmengine - INFO - Epoch(train) [59][80/1879] lr: 1.0000e-02 eta: 1 day, 5:24:04 time: 0.2826 data_time: 0.0226 memory: 8198 grad_norm: 5.0016 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/02 23:04:30 - mmengine - INFO - Epoch(train) [59][100/1879] lr: 1.0000e-02 eta: 1 day, 5:23:59 time: 0.3040 data_time: 0.0243 memory: 8198 grad_norm: 5.1635 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8627 loss: 1.8627 2022/08/02 23:04:36 - mmengine - INFO - Epoch(train) [59][120/1879] lr: 1.0000e-02 eta: 1 day, 5:23:54 time: 0.2854 data_time: 0.0239 memory: 8198 grad_norm: 5.1016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7158 loss: 1.7158 2022/08/02 23:04:42 - mmengine - INFO - Epoch(train) [59][140/1879] lr: 1.0000e-02 eta: 1 day, 5:23:48 time: 0.2835 data_time: 0.0269 memory: 8198 grad_norm: 5.2193 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4930 loss: 1.4930 2022/08/02 23:04:47 - mmengine - INFO - Epoch(train) [59][160/1879] lr: 1.0000e-02 eta: 1 day, 5:23:42 time: 0.2860 data_time: 0.0276 memory: 8198 grad_norm: 5.2295 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5365 loss: 1.5365 2022/08/02 23:04:53 - mmengine - INFO - Epoch(train) [59][180/1879] lr: 1.0000e-02 eta: 1 day, 5:23:36 time: 0.2824 data_time: 0.0256 memory: 8198 grad_norm: 5.0372 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6488 loss: 1.6488 2022/08/02 23:04:59 - mmengine - INFO - Epoch(train) [59][200/1879] lr: 1.0000e-02 eta: 1 day, 5:23:31 time: 0.2821 data_time: 0.0260 memory: 8198 grad_norm: 5.1478 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6781 loss: 1.6781 2022/08/02 23:05:04 - mmengine - INFO - Epoch(train) [59][220/1879] lr: 1.0000e-02 eta: 1 day, 5:23:25 time: 0.2837 data_time: 0.0243 memory: 8198 grad_norm: 5.0972 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6781 loss: 1.6781 2022/08/02 23:05:10 - mmengine - INFO - Epoch(train) [59][240/1879] lr: 1.0000e-02 eta: 1 day, 5:23:19 time: 0.2800 data_time: 0.0224 memory: 8198 grad_norm: 5.1580 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6792 loss: 1.6792 2022/08/02 23:05:16 - mmengine - INFO - Epoch(train) [59][260/1879] lr: 1.0000e-02 eta: 1 day, 5:23:13 time: 0.2827 data_time: 0.0232 memory: 8198 grad_norm: 5.0696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6663 loss: 1.6663 2022/08/02 23:05:21 - mmengine - INFO - Epoch(train) [59][280/1879] lr: 1.0000e-02 eta: 1 day, 5:23:07 time: 0.2822 data_time: 0.0233 memory: 8198 grad_norm: 5.2029 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4285 loss: 1.4285 2022/08/02 23:05:27 - mmengine - INFO - Epoch(train) [59][300/1879] lr: 1.0000e-02 eta: 1 day, 5:23:01 time: 0.2826 data_time: 0.0229 memory: 8198 grad_norm: 5.2816 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5879 loss: 1.5879 2022/08/02 23:05:33 - mmengine - INFO - Epoch(train) [59][320/1879] lr: 1.0000e-02 eta: 1 day, 5:22:55 time: 0.2791 data_time: 0.0226 memory: 8198 grad_norm: 5.1015 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6181 loss: 1.6181 2022/08/02 23:05:38 - mmengine - INFO - Epoch(train) [59][340/1879] lr: 1.0000e-02 eta: 1 day, 5:22:49 time: 0.2830 data_time: 0.0286 memory: 8198 grad_norm: 5.2175 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5935 loss: 1.5935 2022/08/02 23:05:44 - mmengine - INFO - Epoch(train) [59][360/1879] lr: 1.0000e-02 eta: 1 day, 5:22:45 time: 0.3062 data_time: 0.0223 memory: 8198 grad_norm: 5.1312 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6516 loss: 1.6516 2022/08/02 23:05:50 - mmengine - INFO - Epoch(train) [59][380/1879] lr: 1.0000e-02 eta: 1 day, 5:22:39 time: 0.2816 data_time: 0.0253 memory: 8198 grad_norm: 5.2158 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6142 loss: 1.6142 2022/08/02 23:05:56 - mmengine - INFO - Epoch(train) [59][400/1879] lr: 1.0000e-02 eta: 1 day, 5:22:33 time: 0.2829 data_time: 0.0234 memory: 8198 grad_norm: 5.1597 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7304 loss: 1.7304 2022/08/02 23:06:01 - mmengine - INFO - Epoch(train) [59][420/1879] lr: 1.0000e-02 eta: 1 day, 5:22:28 time: 0.2841 data_time: 0.0274 memory: 8198 grad_norm: 5.1458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7144 loss: 1.7144 2022/08/02 23:06:07 - mmengine - INFO - Epoch(train) [59][440/1879] lr: 1.0000e-02 eta: 1 day, 5:22:22 time: 0.2870 data_time: 0.0213 memory: 8198 grad_norm: 5.0799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7479 loss: 1.7479 2022/08/02 23:06:13 - mmengine - INFO - Epoch(train) [59][460/1879] lr: 1.0000e-02 eta: 1 day, 5:22:17 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 4.9333 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5768 loss: 1.5768 2022/08/02 23:06:19 - mmengine - INFO - Epoch(train) [59][480/1879] lr: 1.0000e-02 eta: 1 day, 5:22:11 time: 0.2792 data_time: 0.0249 memory: 8198 grad_norm: 5.3325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5996 loss: 1.5996 2022/08/02 23:06:24 - mmengine - INFO - Epoch(train) [59][500/1879] lr: 1.0000e-02 eta: 1 day, 5:22:05 time: 0.2857 data_time: 0.0249 memory: 8198 grad_norm: 5.1198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7209 loss: 1.7209 2022/08/02 23:06:30 - mmengine - INFO - Epoch(train) [59][520/1879] lr: 1.0000e-02 eta: 1 day, 5:21:59 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 5.0993 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.8138 loss: 1.8138 2022/08/02 23:06:36 - mmengine - INFO - Epoch(train) [59][540/1879] lr: 1.0000e-02 eta: 1 day, 5:21:54 time: 0.2882 data_time: 0.0246 memory: 8198 grad_norm: 5.0598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5871 loss: 1.5871 2022/08/02 23:06:41 - mmengine - INFO - Epoch(train) [59][560/1879] lr: 1.0000e-02 eta: 1 day, 5:21:48 time: 0.2829 data_time: 0.0225 memory: 8198 grad_norm: 5.1600 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7098 loss: 1.7098 2022/08/02 23:06:47 - mmengine - INFO - Epoch(train) [59][580/1879] lr: 1.0000e-02 eta: 1 day, 5:21:43 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 5.0839 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7188 loss: 1.7188 2022/08/02 23:06:53 - mmengine - INFO - Epoch(train) [59][600/1879] lr: 1.0000e-02 eta: 1 day, 5:21:37 time: 0.2900 data_time: 0.0224 memory: 8198 grad_norm: 5.2146 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/08/02 23:06:59 - mmengine - INFO - Epoch(train) [59][620/1879] lr: 1.0000e-02 eta: 1 day, 5:21:31 time: 0.2805 data_time: 0.0244 memory: 8198 grad_norm: 5.0176 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6156 loss: 1.6156 2022/08/02 23:07:04 - mmengine - INFO - Epoch(train) [59][640/1879] lr: 1.0000e-02 eta: 1 day, 5:21:25 time: 0.2800 data_time: 0.0187 memory: 8198 grad_norm: 5.1233 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7678 loss: 1.7678 2022/08/02 23:07:10 - mmengine - INFO - Epoch(train) [59][660/1879] lr: 1.0000e-02 eta: 1 day, 5:21:20 time: 0.2855 data_time: 0.0221 memory: 8198 grad_norm: 5.1712 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7139 loss: 1.7139 2022/08/02 23:07:16 - mmengine - INFO - Epoch(train) [59][680/1879] lr: 1.0000e-02 eta: 1 day, 5:21:14 time: 0.2832 data_time: 0.0228 memory: 8198 grad_norm: 5.1772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/02 23:07:21 - mmengine - INFO - Epoch(train) [59][700/1879] lr: 1.0000e-02 eta: 1 day, 5:21:08 time: 0.2798 data_time: 0.0212 memory: 8198 grad_norm: 5.1743 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5834 loss: 1.5834 2022/08/02 23:07:27 - mmengine - INFO - Epoch(train) [59][720/1879] lr: 1.0000e-02 eta: 1 day, 5:21:02 time: 0.2865 data_time: 0.0223 memory: 8198 grad_norm: 5.1499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/02 23:07:33 - mmengine - INFO - Epoch(train) [59][740/1879] lr: 1.0000e-02 eta: 1 day, 5:20:57 time: 0.2878 data_time: 0.0292 memory: 8198 grad_norm: 5.1044 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4560 loss: 1.4560 2022/08/02 23:07:38 - mmengine - INFO - Epoch(train) [59][760/1879] lr: 1.0000e-02 eta: 1 day, 5:20:51 time: 0.2854 data_time: 0.0220 memory: 8198 grad_norm: 5.1141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5546 loss: 1.5546 2022/08/02 23:07:44 - mmengine - INFO - Epoch(train) [59][780/1879] lr: 1.0000e-02 eta: 1 day, 5:20:45 time: 0.2840 data_time: 0.0199 memory: 8198 grad_norm: 5.1806 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6902 loss: 1.6902 2022/08/02 23:07:50 - mmengine - INFO - Epoch(train) [59][800/1879] lr: 1.0000e-02 eta: 1 day, 5:20:39 time: 0.2799 data_time: 0.0235 memory: 8198 grad_norm: 5.1581 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5410 loss: 1.5410 2022/08/02 23:07:55 - mmengine - INFO - Epoch(train) [59][820/1879] lr: 1.0000e-02 eta: 1 day, 5:20:34 time: 0.2841 data_time: 0.0233 memory: 8198 grad_norm: 5.1251 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6807 loss: 1.6807 2022/08/02 23:08:01 - mmengine - INFO - Epoch(train) [59][840/1879] lr: 1.0000e-02 eta: 1 day, 5:20:28 time: 0.2805 data_time: 0.0220 memory: 8198 grad_norm: 5.2764 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6992 loss: 1.6992 2022/08/02 23:08:07 - mmengine - INFO - Epoch(train) [59][860/1879] lr: 1.0000e-02 eta: 1 day, 5:20:22 time: 0.2899 data_time: 0.0266 memory: 8198 grad_norm: 5.0356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/08/02 23:08:12 - mmengine - INFO - Epoch(train) [59][880/1879] lr: 1.0000e-02 eta: 1 day, 5:20:16 time: 0.2789 data_time: 0.0213 memory: 8198 grad_norm: 5.1149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4694 loss: 1.4694 2022/08/02 23:08:18 - mmengine - INFO - Epoch(train) [59][900/1879] lr: 1.0000e-02 eta: 1 day, 5:20:11 time: 0.2871 data_time: 0.0274 memory: 8198 grad_norm: 5.1161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/08/02 23:08:24 - mmengine - INFO - Epoch(train) [59][920/1879] lr: 1.0000e-02 eta: 1 day, 5:20:05 time: 0.2882 data_time: 0.0204 memory: 8198 grad_norm: 5.1824 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7309 loss: 1.7309 2022/08/02 23:08:30 - mmengine - INFO - Epoch(train) [59][940/1879] lr: 1.0000e-02 eta: 1 day, 5:19:59 time: 0.2822 data_time: 0.0236 memory: 8198 grad_norm: 5.0576 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8780 loss: 1.8780 2022/08/02 23:08:35 - mmengine - INFO - Epoch(train) [59][960/1879] lr: 1.0000e-02 eta: 1 day, 5:19:53 time: 0.2800 data_time: 0.0243 memory: 8198 grad_norm: 5.0086 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6365 loss: 1.6365 2022/08/02 23:08:41 - mmengine - INFO - Epoch(train) [59][980/1879] lr: 1.0000e-02 eta: 1 day, 5:19:48 time: 0.2830 data_time: 0.0246 memory: 8198 grad_norm: 5.1376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6398 loss: 1.6398 2022/08/02 23:08:47 - mmengine - INFO - Epoch(train) [59][1000/1879] lr: 1.0000e-02 eta: 1 day, 5:19:42 time: 0.2896 data_time: 0.0259 memory: 8198 grad_norm: 5.1134 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9958 loss: 1.9958 2022/08/02 23:08:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:08:52 - mmengine - INFO - Epoch(train) [59][1020/1879] lr: 1.0000e-02 eta: 1 day, 5:19:37 time: 0.2831 data_time: 0.0215 memory: 8198 grad_norm: 4.9862 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.6761 loss: 1.6761 2022/08/02 23:08:58 - mmengine - INFO - Epoch(train) [59][1040/1879] lr: 1.0000e-02 eta: 1 day, 5:19:31 time: 0.2835 data_time: 0.0204 memory: 8198 grad_norm: 5.2213 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9254 loss: 1.9254 2022/08/02 23:09:04 - mmengine - INFO - Epoch(train) [59][1060/1879] lr: 1.0000e-02 eta: 1 day, 5:19:25 time: 0.2879 data_time: 0.0237 memory: 8198 grad_norm: 5.2239 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7355 loss: 1.7355 2022/08/02 23:09:09 - mmengine - INFO - Epoch(train) [59][1080/1879] lr: 1.0000e-02 eta: 1 day, 5:19:19 time: 0.2796 data_time: 0.0215 memory: 8198 grad_norm: 5.1166 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/08/02 23:09:15 - mmengine - INFO - Epoch(train) [59][1100/1879] lr: 1.0000e-02 eta: 1 day, 5:19:14 time: 0.2867 data_time: 0.0288 memory: 8198 grad_norm: 5.2217 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8212 loss: 1.8212 2022/08/02 23:09:21 - mmengine - INFO - Epoch(train) [59][1120/1879] lr: 1.0000e-02 eta: 1 day, 5:19:08 time: 0.2834 data_time: 0.0214 memory: 8198 grad_norm: 5.2354 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7995 loss: 1.7995 2022/08/02 23:09:27 - mmengine - INFO - Epoch(train) [59][1140/1879] lr: 1.0000e-02 eta: 1 day, 5:19:02 time: 0.2837 data_time: 0.0199 memory: 8198 grad_norm: 5.1649 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8172 loss: 1.8172 2022/08/02 23:09:32 - mmengine - INFO - Epoch(train) [59][1160/1879] lr: 1.0000e-02 eta: 1 day, 5:18:56 time: 0.2836 data_time: 0.0225 memory: 8198 grad_norm: 5.1496 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9126 loss: 1.9126 2022/08/02 23:09:38 - mmengine - INFO - Epoch(train) [59][1180/1879] lr: 1.0000e-02 eta: 1 day, 5:18:51 time: 0.2853 data_time: 0.0218 memory: 8198 grad_norm: 5.1532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5398 loss: 1.5398 2022/08/02 23:09:44 - mmengine - INFO - Epoch(train) [59][1200/1879] lr: 1.0000e-02 eta: 1 day, 5:18:45 time: 0.2810 data_time: 0.0220 memory: 8198 grad_norm: 5.2836 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8406 loss: 1.8406 2022/08/02 23:09:49 - mmengine - INFO - Epoch(train) [59][1220/1879] lr: 1.0000e-02 eta: 1 day, 5:18:39 time: 0.2847 data_time: 0.0260 memory: 8198 grad_norm: 5.1569 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7225 loss: 1.7225 2022/08/02 23:09:55 - mmengine - INFO - Epoch(train) [59][1240/1879] lr: 1.0000e-02 eta: 1 day, 5:18:34 time: 0.2900 data_time: 0.0226 memory: 8198 grad_norm: 5.0908 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6659 loss: 1.6659 2022/08/02 23:10:01 - mmengine - INFO - Epoch(train) [59][1260/1879] lr: 1.0000e-02 eta: 1 day, 5:18:28 time: 0.2803 data_time: 0.0238 memory: 8198 grad_norm: 5.2059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8899 loss: 1.8899 2022/08/02 23:10:06 - mmengine - INFO - Epoch(train) [59][1280/1879] lr: 1.0000e-02 eta: 1 day, 5:18:22 time: 0.2801 data_time: 0.0248 memory: 8198 grad_norm: 5.1524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6364 loss: 1.6364 2022/08/02 23:10:12 - mmengine - INFO - Epoch(train) [59][1300/1879] lr: 1.0000e-02 eta: 1 day, 5:18:16 time: 0.2840 data_time: 0.0259 memory: 8198 grad_norm: 5.1605 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5219 loss: 1.5219 2022/08/02 23:10:18 - mmengine - INFO - Epoch(train) [59][1320/1879] lr: 1.0000e-02 eta: 1 day, 5:18:10 time: 0.2840 data_time: 0.0220 memory: 8198 grad_norm: 5.2932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6582 loss: 1.6582 2022/08/02 23:10:23 - mmengine - INFO - Epoch(train) [59][1340/1879] lr: 1.0000e-02 eta: 1 day, 5:18:05 time: 0.2819 data_time: 0.0268 memory: 8198 grad_norm: 4.9802 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6384 loss: 1.6384 2022/08/02 23:10:29 - mmengine - INFO - Epoch(train) [59][1360/1879] lr: 1.0000e-02 eta: 1 day, 5:17:59 time: 0.2807 data_time: 0.0206 memory: 8198 grad_norm: 4.9636 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7016 loss: 1.7016 2022/08/02 23:10:35 - mmengine - INFO - Epoch(train) [59][1380/1879] lr: 1.0000e-02 eta: 1 day, 5:17:53 time: 0.2845 data_time: 0.0237 memory: 8198 grad_norm: 5.0953 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6960 loss: 1.6960 2022/08/02 23:10:40 - mmengine - INFO - Epoch(train) [59][1400/1879] lr: 1.0000e-02 eta: 1 day, 5:17:47 time: 0.2875 data_time: 0.0236 memory: 8198 grad_norm: 5.3009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9007 loss: 1.9007 2022/08/02 23:10:46 - mmengine - INFO - Epoch(train) [59][1420/1879] lr: 1.0000e-02 eta: 1 day, 5:17:42 time: 0.2819 data_time: 0.0222 memory: 8198 grad_norm: 5.2581 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8008 loss: 1.8008 2022/08/02 23:10:52 - mmengine - INFO - Epoch(train) [59][1440/1879] lr: 1.0000e-02 eta: 1 day, 5:17:36 time: 0.2807 data_time: 0.0203 memory: 8198 grad_norm: 5.2020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8756 loss: 1.8756 2022/08/02 23:10:57 - mmengine - INFO - Epoch(train) [59][1460/1879] lr: 1.0000e-02 eta: 1 day, 5:17:30 time: 0.2872 data_time: 0.0234 memory: 8198 grad_norm: 5.2585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6158 loss: 1.6158 2022/08/02 23:11:03 - mmengine - INFO - Epoch(train) [59][1480/1879] lr: 1.0000e-02 eta: 1 day, 5:17:24 time: 0.2823 data_time: 0.0231 memory: 8198 grad_norm: 5.3024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8659 loss: 1.8659 2022/08/02 23:11:09 - mmengine - INFO - Epoch(train) [59][1500/1879] lr: 1.0000e-02 eta: 1 day, 5:17:18 time: 0.2820 data_time: 0.0214 memory: 8198 grad_norm: 5.1172 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8898 loss: 1.8898 2022/08/02 23:11:14 - mmengine - INFO - Epoch(train) [59][1520/1879] lr: 1.0000e-02 eta: 1 day, 5:17:13 time: 0.2831 data_time: 0.0223 memory: 8198 grad_norm: 5.0680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7014 loss: 1.7014 2022/08/02 23:11:20 - mmengine - INFO - Epoch(train) [59][1540/1879] lr: 1.0000e-02 eta: 1 day, 5:17:07 time: 0.2815 data_time: 0.0225 memory: 8198 grad_norm: 5.0611 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6529 loss: 1.6529 2022/08/02 23:11:26 - mmengine - INFO - Epoch(train) [59][1560/1879] lr: 1.0000e-02 eta: 1 day, 5:17:01 time: 0.2824 data_time: 0.0279 memory: 8198 grad_norm: 5.1139 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7317 loss: 1.7317 2022/08/02 23:11:31 - mmengine - INFO - Epoch(train) [59][1580/1879] lr: 1.0000e-02 eta: 1 day, 5:16:55 time: 0.2829 data_time: 0.0228 memory: 8198 grad_norm: 5.0832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5481 loss: 1.5481 2022/08/02 23:11:37 - mmengine - INFO - Epoch(train) [59][1600/1879] lr: 1.0000e-02 eta: 1 day, 5:16:50 time: 0.2970 data_time: 0.0198 memory: 8198 grad_norm: 5.1034 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7565 loss: 1.7565 2022/08/02 23:11:43 - mmengine - INFO - Epoch(train) [59][1620/1879] lr: 1.0000e-02 eta: 1 day, 5:16:44 time: 0.2809 data_time: 0.0258 memory: 8198 grad_norm: 5.3725 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8357 loss: 1.8357 2022/08/02 23:11:49 - mmengine - INFO - Epoch(train) [59][1640/1879] lr: 1.0000e-02 eta: 1 day, 5:16:39 time: 0.2870 data_time: 0.0302 memory: 8198 grad_norm: 5.0734 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6770 loss: 1.6770 2022/08/02 23:11:54 - mmengine - INFO - Epoch(train) [59][1660/1879] lr: 1.0000e-02 eta: 1 day, 5:16:33 time: 0.2837 data_time: 0.0202 memory: 8198 grad_norm: 5.2145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6749 loss: 1.6749 2022/08/02 23:12:00 - mmengine - INFO - Epoch(train) [59][1680/1879] lr: 1.0000e-02 eta: 1 day, 5:16:27 time: 0.2799 data_time: 0.0224 memory: 8198 grad_norm: 4.9724 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7589 loss: 1.7589 2022/08/02 23:12:06 - mmengine - INFO - Epoch(train) [59][1700/1879] lr: 1.0000e-02 eta: 1 day, 5:16:22 time: 0.2869 data_time: 0.0210 memory: 8198 grad_norm: 5.1305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7553 loss: 1.7553 2022/08/02 23:12:11 - mmengine - INFO - Epoch(train) [59][1720/1879] lr: 1.0000e-02 eta: 1 day, 5:16:16 time: 0.2803 data_time: 0.0238 memory: 8198 grad_norm: 5.0494 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5750 loss: 1.5750 2022/08/02 23:12:17 - mmengine - INFO - Epoch(train) [59][1740/1879] lr: 1.0000e-02 eta: 1 day, 5:16:10 time: 0.2878 data_time: 0.0230 memory: 8198 grad_norm: 5.0319 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7644 loss: 1.7644 2022/08/02 23:12:23 - mmengine - INFO - Epoch(train) [59][1760/1879] lr: 1.0000e-02 eta: 1 day, 5:16:04 time: 0.2823 data_time: 0.0199 memory: 8198 grad_norm: 5.2315 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6008 loss: 1.6008 2022/08/02 23:12:29 - mmengine - INFO - Epoch(train) [59][1780/1879] lr: 1.0000e-02 eta: 1 day, 5:15:58 time: 0.2841 data_time: 0.0228 memory: 8198 grad_norm: 5.2349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6709 loss: 1.6709 2022/08/02 23:12:34 - mmengine - INFO - Epoch(train) [59][1800/1879] lr: 1.0000e-02 eta: 1 day, 5:15:53 time: 0.2852 data_time: 0.0227 memory: 8198 grad_norm: 5.2581 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8632 loss: 1.8632 2022/08/02 23:12:40 - mmengine - INFO - Epoch(train) [59][1820/1879] lr: 1.0000e-02 eta: 1 day, 5:15:47 time: 0.2819 data_time: 0.0182 memory: 8198 grad_norm: 5.2842 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5682 loss: 1.5682 2022/08/02 23:12:46 - mmengine - INFO - Epoch(train) [59][1840/1879] lr: 1.0000e-02 eta: 1 day, 5:15:41 time: 0.2858 data_time: 0.0261 memory: 8198 grad_norm: 5.1644 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9320 loss: 1.9320 2022/08/02 23:12:51 - mmengine - INFO - Epoch(train) [59][1860/1879] lr: 1.0000e-02 eta: 1 day, 5:15:36 time: 0.2848 data_time: 0.0225 memory: 8198 grad_norm: 5.2197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6333 loss: 1.6333 2022/08/02 23:12:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:12:56 - mmengine - INFO - Epoch(train) [59][1879/1879] lr: 1.0000e-02 eta: 1 day, 5:15:36 time: 0.2658 data_time: 0.0151 memory: 8198 grad_norm: 5.3623 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.8946 loss: 1.8946 2022/08/02 23:13:05 - mmengine - INFO - Epoch(train) [60][20/1879] lr: 1.0000e-02 eta: 1 day, 5:15:16 time: 0.4198 data_time: 0.1278 memory: 8198 grad_norm: 5.1431 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7123 loss: 1.7123 2022/08/02 23:13:10 - mmengine - INFO - Epoch(train) [60][40/1879] lr: 1.0000e-02 eta: 1 day, 5:15:10 time: 0.2797 data_time: 0.0170 memory: 8198 grad_norm: 5.1737 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8592 loss: 1.8592 2022/08/02 23:13:16 - mmengine - INFO - Epoch(train) [60][60/1879] lr: 1.0000e-02 eta: 1 day, 5:15:04 time: 0.2891 data_time: 0.0220 memory: 8198 grad_norm: 5.0686 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6341 loss: 1.6341 2022/08/02 23:13:22 - mmengine - INFO - Epoch(train) [60][80/1879] lr: 1.0000e-02 eta: 1 day, 5:14:58 time: 0.2792 data_time: 0.0213 memory: 8198 grad_norm: 5.1842 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5350 loss: 1.5350 2022/08/02 23:13:28 - mmengine - INFO - Epoch(train) [60][100/1879] lr: 1.0000e-02 eta: 1 day, 5:14:53 time: 0.2928 data_time: 0.0314 memory: 8198 grad_norm: 5.0038 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/08/02 23:13:33 - mmengine - INFO - Epoch(train) [60][120/1879] lr: 1.0000e-02 eta: 1 day, 5:14:47 time: 0.2850 data_time: 0.0246 memory: 8198 grad_norm: 5.0877 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6647 loss: 1.6647 2022/08/02 23:13:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:13:39 - mmengine - INFO - Epoch(train) [60][140/1879] lr: 1.0000e-02 eta: 1 day, 5:14:43 time: 0.2976 data_time: 0.0288 memory: 8198 grad_norm: 5.1543 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4790 loss: 1.4790 2022/08/02 23:13:45 - mmengine - INFO - Epoch(train) [60][160/1879] lr: 1.0000e-02 eta: 1 day, 5:14:37 time: 0.2914 data_time: 0.0211 memory: 8198 grad_norm: 5.0667 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5765 loss: 1.5765 2022/08/02 23:13:51 - mmengine - INFO - Epoch(train) [60][180/1879] lr: 1.0000e-02 eta: 1 day, 5:14:32 time: 0.2871 data_time: 0.0254 memory: 8198 grad_norm: 5.1626 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7247 loss: 1.7247 2022/08/02 23:13:57 - mmengine - INFO - Epoch(train) [60][200/1879] lr: 1.0000e-02 eta: 1 day, 5:14:26 time: 0.2845 data_time: 0.0246 memory: 8198 grad_norm: 5.0427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4826 loss: 1.4826 2022/08/02 23:14:02 - mmengine - INFO - Epoch(train) [60][220/1879] lr: 1.0000e-02 eta: 1 day, 5:14:20 time: 0.2835 data_time: 0.0207 memory: 8198 grad_norm: 5.2802 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6987 loss: 1.6987 2022/08/02 23:14:08 - mmengine - INFO - Epoch(train) [60][240/1879] lr: 1.0000e-02 eta: 1 day, 5:14:14 time: 0.2810 data_time: 0.0212 memory: 8198 grad_norm: 5.0719 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7873 loss: 1.7873 2022/08/02 23:14:14 - mmengine - INFO - Epoch(train) [60][260/1879] lr: 1.0000e-02 eta: 1 day, 5:14:09 time: 0.2937 data_time: 0.0246 memory: 8198 grad_norm: 5.1896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7326 loss: 1.7326 2022/08/02 23:14:20 - mmengine - INFO - Epoch(train) [60][280/1879] lr: 1.0000e-02 eta: 1 day, 5:14:03 time: 0.2805 data_time: 0.0171 memory: 8198 grad_norm: 5.2880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7294 loss: 1.7294 2022/08/02 23:14:25 - mmengine - INFO - Epoch(train) [60][300/1879] lr: 1.0000e-02 eta: 1 day, 5:13:58 time: 0.2926 data_time: 0.0345 memory: 8198 grad_norm: 5.0736 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6739 loss: 1.6739 2022/08/02 23:14:31 - mmengine - INFO - Epoch(train) [60][320/1879] lr: 1.0000e-02 eta: 1 day, 5:13:52 time: 0.2814 data_time: 0.0218 memory: 8198 grad_norm: 5.1132 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6761 loss: 1.6761 2022/08/02 23:14:37 - mmengine - INFO - Epoch(train) [60][340/1879] lr: 1.0000e-02 eta: 1 day, 5:13:47 time: 0.2841 data_time: 0.0244 memory: 8198 grad_norm: 5.0104 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7672 loss: 1.7672 2022/08/02 23:14:42 - mmengine - INFO - Epoch(train) [60][360/1879] lr: 1.0000e-02 eta: 1 day, 5:13:41 time: 0.2795 data_time: 0.0169 memory: 8198 grad_norm: 5.2006 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6254 loss: 1.6254 2022/08/02 23:14:48 - mmengine - INFO - Epoch(train) [60][380/1879] lr: 1.0000e-02 eta: 1 day, 5:13:35 time: 0.2827 data_time: 0.0231 memory: 8198 grad_norm: 5.1887 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4659 loss: 1.4659 2022/08/02 23:14:54 - mmengine - INFO - Epoch(train) [60][400/1879] lr: 1.0000e-02 eta: 1 day, 5:13:29 time: 0.2848 data_time: 0.0200 memory: 8198 grad_norm: 5.0357 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7592 loss: 1.7592 2022/08/02 23:14:59 - mmengine - INFO - Epoch(train) [60][420/1879] lr: 1.0000e-02 eta: 1 day, 5:13:23 time: 0.2806 data_time: 0.0245 memory: 8198 grad_norm: 5.0690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5630 loss: 1.5630 2022/08/02 23:15:05 - mmengine - INFO - Epoch(train) [60][440/1879] lr: 1.0000e-02 eta: 1 day, 5:13:18 time: 0.2867 data_time: 0.0238 memory: 8198 grad_norm: 5.1303 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7407 loss: 1.7407 2022/08/02 23:15:11 - mmengine - INFO - Epoch(train) [60][460/1879] lr: 1.0000e-02 eta: 1 day, 5:13:12 time: 0.2881 data_time: 0.0239 memory: 8198 grad_norm: 5.2250 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6811 loss: 1.6811 2022/08/02 23:15:17 - mmengine - INFO - Epoch(train) [60][480/1879] lr: 1.0000e-02 eta: 1 day, 5:13:07 time: 0.2869 data_time: 0.0190 memory: 8198 grad_norm: 5.1158 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5172 loss: 1.5172 2022/08/02 23:15:22 - mmengine - INFO - Epoch(train) [60][500/1879] lr: 1.0000e-02 eta: 1 day, 5:13:01 time: 0.2817 data_time: 0.0270 memory: 8198 grad_norm: 5.2130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6266 loss: 1.6266 2022/08/02 23:15:28 - mmengine - INFO - Epoch(train) [60][520/1879] lr: 1.0000e-02 eta: 1 day, 5:12:55 time: 0.2864 data_time: 0.0241 memory: 8198 grad_norm: 5.1575 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5633 loss: 1.5633 2022/08/02 23:15:34 - mmengine - INFO - Epoch(train) [60][540/1879] lr: 1.0000e-02 eta: 1 day, 5:12:50 time: 0.2864 data_time: 0.0248 memory: 8198 grad_norm: 5.1643 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8299 loss: 1.8299 2022/08/02 23:15:39 - mmengine - INFO - Epoch(train) [60][560/1879] lr: 1.0000e-02 eta: 1 day, 5:12:44 time: 0.2864 data_time: 0.0262 memory: 8198 grad_norm: 5.1672 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7042 loss: 1.7042 2022/08/02 23:15:45 - mmengine - INFO - Epoch(train) [60][580/1879] lr: 1.0000e-02 eta: 1 day, 5:12:38 time: 0.2832 data_time: 0.0253 memory: 8198 grad_norm: 5.2220 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7058 loss: 1.7058 2022/08/02 23:15:51 - mmengine - INFO - Epoch(train) [60][600/1879] lr: 1.0000e-02 eta: 1 day, 5:12:33 time: 0.2879 data_time: 0.0266 memory: 8198 grad_norm: 5.0142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4977 loss: 1.4977 2022/08/02 23:15:57 - mmengine - INFO - Epoch(train) [60][620/1879] lr: 1.0000e-02 eta: 1 day, 5:12:27 time: 0.2886 data_time: 0.0281 memory: 8198 grad_norm: 5.0146 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6459 loss: 1.6459 2022/08/02 23:16:02 - mmengine - INFO - Epoch(train) [60][640/1879] lr: 1.0000e-02 eta: 1 day, 5:12:22 time: 0.2835 data_time: 0.0172 memory: 8198 grad_norm: 5.3193 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/02 23:16:08 - mmengine - INFO - Epoch(train) [60][660/1879] lr: 1.0000e-02 eta: 1 day, 5:12:16 time: 0.2824 data_time: 0.0226 memory: 8198 grad_norm: 5.1842 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7157 loss: 1.7157 2022/08/02 23:16:14 - mmengine - INFO - Epoch(train) [60][680/1879] lr: 1.0000e-02 eta: 1 day, 5:12:10 time: 0.2842 data_time: 0.0236 memory: 8198 grad_norm: 5.1995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6362 loss: 1.6362 2022/08/02 23:16:19 - mmengine - INFO - Epoch(train) [60][700/1879] lr: 1.0000e-02 eta: 1 day, 5:12:04 time: 0.2842 data_time: 0.0243 memory: 8198 grad_norm: 5.0763 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6945 loss: 1.6945 2022/08/02 23:16:25 - mmengine - INFO - Epoch(train) [60][720/1879] lr: 1.0000e-02 eta: 1 day, 5:11:59 time: 0.2838 data_time: 0.0206 memory: 8198 grad_norm: 5.0736 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5364 loss: 1.5364 2022/08/02 23:16:31 - mmengine - INFO - Epoch(train) [60][740/1879] lr: 1.0000e-02 eta: 1 day, 5:11:53 time: 0.2858 data_time: 0.0257 memory: 8198 grad_norm: 5.1589 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6571 loss: 1.6571 2022/08/02 23:16:37 - mmengine - INFO - Epoch(train) [60][760/1879] lr: 1.0000e-02 eta: 1 day, 5:11:48 time: 0.2987 data_time: 0.0236 memory: 8198 grad_norm: 5.0781 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6542 loss: 1.6542 2022/08/02 23:16:42 - mmengine - INFO - Epoch(train) [60][780/1879] lr: 1.0000e-02 eta: 1 day, 5:11:42 time: 0.2831 data_time: 0.0252 memory: 8198 grad_norm: 5.0705 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6038 loss: 1.6038 2022/08/02 23:16:48 - mmengine - INFO - Epoch(train) [60][800/1879] lr: 1.0000e-02 eta: 1 day, 5:11:36 time: 0.2795 data_time: 0.0215 memory: 8198 grad_norm: 5.1458 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8024 loss: 1.8024 2022/08/02 23:16:54 - mmengine - INFO - Epoch(train) [60][820/1879] lr: 1.0000e-02 eta: 1 day, 5:11:31 time: 0.2850 data_time: 0.0218 memory: 8198 grad_norm: 5.2342 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8148 loss: 1.8148 2022/08/02 23:16:59 - mmengine - INFO - Epoch(train) [60][840/1879] lr: 1.0000e-02 eta: 1 day, 5:11:25 time: 0.2840 data_time: 0.0229 memory: 8198 grad_norm: 5.1397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7997 loss: 1.7997 2022/08/02 23:17:05 - mmengine - INFO - Epoch(train) [60][860/1879] lr: 1.0000e-02 eta: 1 day, 5:11:19 time: 0.2814 data_time: 0.0230 memory: 8198 grad_norm: 5.0998 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6725 loss: 1.6725 2022/08/02 23:17:11 - mmengine - INFO - Epoch(train) [60][880/1879] lr: 1.0000e-02 eta: 1 day, 5:11:13 time: 0.2799 data_time: 0.0217 memory: 8198 grad_norm: 5.2164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8100 loss: 1.8100 2022/08/02 23:17:16 - mmengine - INFO - Epoch(train) [60][900/1879] lr: 1.0000e-02 eta: 1 day, 5:11:08 time: 0.2872 data_time: 0.0268 memory: 8198 grad_norm: 5.1299 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6161 loss: 1.6161 2022/08/02 23:17:22 - mmengine - INFO - Epoch(train) [60][920/1879] lr: 1.0000e-02 eta: 1 day, 5:11:02 time: 0.2816 data_time: 0.0229 memory: 8198 grad_norm: 5.1188 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4647 loss: 1.4647 2022/08/02 23:17:28 - mmengine - INFO - Epoch(train) [60][940/1879] lr: 1.0000e-02 eta: 1 day, 5:10:56 time: 0.2826 data_time: 0.0249 memory: 8198 grad_norm: 5.0856 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9563 loss: 1.9563 2022/08/02 23:17:33 - mmengine - INFO - Epoch(train) [60][960/1879] lr: 1.0000e-02 eta: 1 day, 5:10:50 time: 0.2818 data_time: 0.0252 memory: 8198 grad_norm: 5.1506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6023 loss: 1.6023 2022/08/02 23:17:39 - mmengine - INFO - Epoch(train) [60][980/1879] lr: 1.0000e-02 eta: 1 day, 5:10:45 time: 0.2946 data_time: 0.0233 memory: 8198 grad_norm: 5.2458 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6434 loss: 1.6434 2022/08/02 23:17:45 - mmengine - INFO - Epoch(train) [60][1000/1879] lr: 1.0000e-02 eta: 1 day, 5:10:40 time: 0.2965 data_time: 0.0193 memory: 8198 grad_norm: 5.1757 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8595 loss: 1.8595 2022/08/02 23:17:51 - mmengine - INFO - Epoch(train) [60][1020/1879] lr: 1.0000e-02 eta: 1 day, 5:10:34 time: 0.2775 data_time: 0.0235 memory: 8198 grad_norm: 5.0797 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/08/02 23:17:56 - mmengine - INFO - Epoch(train) [60][1040/1879] lr: 1.0000e-02 eta: 1 day, 5:10:28 time: 0.2803 data_time: 0.0229 memory: 8198 grad_norm: 5.0810 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6533 loss: 1.6533 2022/08/02 23:18:02 - mmengine - INFO - Epoch(train) [60][1060/1879] lr: 1.0000e-02 eta: 1 day, 5:10:22 time: 0.2830 data_time: 0.0256 memory: 8198 grad_norm: 5.1861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7525 loss: 1.7525 2022/08/02 23:18:08 - mmengine - INFO - Epoch(train) [60][1080/1879] lr: 1.0000e-02 eta: 1 day, 5:10:16 time: 0.2825 data_time: 0.0234 memory: 8198 grad_norm: 5.0326 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7096 loss: 1.7096 2022/08/02 23:18:13 - mmengine - INFO - Epoch(train) [60][1100/1879] lr: 1.0000e-02 eta: 1 day, 5:10:11 time: 0.2827 data_time: 0.0243 memory: 8198 grad_norm: 5.1025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6517 loss: 1.6517 2022/08/02 23:18:19 - mmengine - INFO - Epoch(train) [60][1120/1879] lr: 1.0000e-02 eta: 1 day, 5:10:05 time: 0.2891 data_time: 0.0193 memory: 8198 grad_norm: 5.2982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6519 loss: 1.6519 2022/08/02 23:18:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:18:25 - mmengine - INFO - Epoch(train) [60][1140/1879] lr: 1.0000e-02 eta: 1 day, 5:10:00 time: 0.2919 data_time: 0.0248 memory: 8198 grad_norm: 5.2581 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9993 loss: 1.9993 2022/08/02 23:18:31 - mmengine - INFO - Epoch(train) [60][1160/1879] lr: 1.0000e-02 eta: 1 day, 5:09:54 time: 0.2810 data_time: 0.0211 memory: 8198 grad_norm: 5.3128 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8092 loss: 1.8092 2022/08/02 23:18:36 - mmengine - INFO - Epoch(train) [60][1180/1879] lr: 1.0000e-02 eta: 1 day, 5:09:48 time: 0.2855 data_time: 0.0291 memory: 8198 grad_norm: 5.2748 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7387 loss: 1.7387 2022/08/02 23:18:42 - mmengine - INFO - Epoch(train) [60][1200/1879] lr: 1.0000e-02 eta: 1 day, 5:09:42 time: 0.2806 data_time: 0.0218 memory: 8198 grad_norm: 5.3290 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7934 loss: 1.7934 2022/08/02 23:18:48 - mmengine - INFO - Epoch(train) [60][1220/1879] lr: 1.0000e-02 eta: 1 day, 5:09:37 time: 0.2930 data_time: 0.0219 memory: 8198 grad_norm: 5.0684 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5902 loss: 1.5902 2022/08/02 23:18:54 - mmengine - INFO - Epoch(train) [60][1240/1879] lr: 1.0000e-02 eta: 1 day, 5:09:31 time: 0.2814 data_time: 0.0202 memory: 8198 grad_norm: 5.1463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7855 loss: 1.7855 2022/08/02 23:18:59 - mmengine - INFO - Epoch(train) [60][1260/1879] lr: 1.0000e-02 eta: 1 day, 5:09:26 time: 0.2849 data_time: 0.0265 memory: 8198 grad_norm: 5.2345 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7919 loss: 1.7919 2022/08/02 23:19:05 - mmengine - INFO - Epoch(train) [60][1280/1879] lr: 1.0000e-02 eta: 1 day, 5:09:21 time: 0.2946 data_time: 0.0273 memory: 8198 grad_norm: 5.1670 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5819 loss: 1.5819 2022/08/02 23:19:11 - mmengine - INFO - Epoch(train) [60][1300/1879] lr: 1.0000e-02 eta: 1 day, 5:09:15 time: 0.2814 data_time: 0.0226 memory: 8198 grad_norm: 5.0873 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7640 loss: 1.7640 2022/08/02 23:19:16 - mmengine - INFO - Epoch(train) [60][1320/1879] lr: 1.0000e-02 eta: 1 day, 5:09:09 time: 0.2805 data_time: 0.0245 memory: 8198 grad_norm: 5.0827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8447 loss: 1.8447 2022/08/02 23:19:22 - mmengine - INFO - Epoch(train) [60][1340/1879] lr: 1.0000e-02 eta: 1 day, 5:09:03 time: 0.2828 data_time: 0.0249 memory: 8198 grad_norm: 5.1049 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6459 loss: 1.6459 2022/08/02 23:19:28 - mmengine - INFO - Epoch(train) [60][1360/1879] lr: 1.0000e-02 eta: 1 day, 5:08:57 time: 0.2828 data_time: 0.0203 memory: 8198 grad_norm: 5.2135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6546 loss: 1.6546 2022/08/02 23:19:33 - mmengine - INFO - Epoch(train) [60][1380/1879] lr: 1.0000e-02 eta: 1 day, 5:08:52 time: 0.2835 data_time: 0.0219 memory: 8198 grad_norm: 5.2132 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6944 loss: 1.6944 2022/08/02 23:19:39 - mmengine - INFO - Epoch(train) [60][1400/1879] lr: 1.0000e-02 eta: 1 day, 5:08:46 time: 0.2854 data_time: 0.0206 memory: 8198 grad_norm: 5.1688 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6630 loss: 1.6630 2022/08/02 23:19:45 - mmengine - INFO - Epoch(train) [60][1420/1879] lr: 1.0000e-02 eta: 1 day, 5:08:40 time: 0.2814 data_time: 0.0219 memory: 8198 grad_norm: 5.1745 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5290 loss: 1.5290 2022/08/02 23:19:50 - mmengine - INFO - Epoch(train) [60][1440/1879] lr: 1.0000e-02 eta: 1 day, 5:08:34 time: 0.2794 data_time: 0.0217 memory: 8198 grad_norm: 5.4278 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8985 loss: 1.8985 2022/08/02 23:19:56 - mmengine - INFO - Epoch(train) [60][1460/1879] lr: 1.0000e-02 eta: 1 day, 5:08:28 time: 0.2844 data_time: 0.0241 memory: 8198 grad_norm: 5.3271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9312 loss: 1.9312 2022/08/02 23:20:02 - mmengine - INFO - Epoch(train) [60][1480/1879] lr: 1.0000e-02 eta: 1 day, 5:08:22 time: 0.2818 data_time: 0.0215 memory: 8198 grad_norm: 4.9833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7938 loss: 1.7938 2022/08/02 23:20:07 - mmengine - INFO - Epoch(train) [60][1500/1879] lr: 1.0000e-02 eta: 1 day, 5:08:17 time: 0.2843 data_time: 0.0243 memory: 8198 grad_norm: 5.3071 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/08/02 23:20:13 - mmengine - INFO - Epoch(train) [60][1520/1879] lr: 1.0000e-02 eta: 1 day, 5:08:11 time: 0.2824 data_time: 0.0232 memory: 8198 grad_norm: 5.2129 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8648 loss: 1.8648 2022/08/02 23:20:19 - mmengine - INFO - Epoch(train) [60][1540/1879] lr: 1.0000e-02 eta: 1 day, 5:08:05 time: 0.2849 data_time: 0.0239 memory: 8198 grad_norm: 5.1452 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6460 loss: 1.6460 2022/08/02 23:20:25 - mmengine - INFO - Epoch(train) [60][1560/1879] lr: 1.0000e-02 eta: 1 day, 5:08:00 time: 0.2887 data_time: 0.0290 memory: 8198 grad_norm: 5.1567 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9349 loss: 1.9349 2022/08/02 23:20:30 - mmengine - INFO - Epoch(train) [60][1580/1879] lr: 1.0000e-02 eta: 1 day, 5:07:54 time: 0.2792 data_time: 0.0197 memory: 8198 grad_norm: 5.1657 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7473 loss: 1.7473 2022/08/02 23:20:36 - mmengine - INFO - Epoch(train) [60][1600/1879] lr: 1.0000e-02 eta: 1 day, 5:07:48 time: 0.2843 data_time: 0.0235 memory: 8198 grad_norm: 5.0823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7050 loss: 1.7050 2022/08/02 23:20:42 - mmengine - INFO - Epoch(train) [60][1620/1879] lr: 1.0000e-02 eta: 1 day, 5:07:42 time: 0.2821 data_time: 0.0198 memory: 8198 grad_norm: 5.2109 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8859 loss: 1.8859 2022/08/02 23:20:47 - mmengine - INFO - Epoch(train) [60][1640/1879] lr: 1.0000e-02 eta: 1 day, 5:07:36 time: 0.2823 data_time: 0.0252 memory: 8198 grad_norm: 5.2382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6801 loss: 1.6801 2022/08/02 23:20:53 - mmengine - INFO - Epoch(train) [60][1660/1879] lr: 1.0000e-02 eta: 1 day, 5:07:31 time: 0.2859 data_time: 0.0268 memory: 8198 grad_norm: 5.0631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7836 loss: 1.7836 2022/08/02 23:20:59 - mmengine - INFO - Epoch(train) [60][1680/1879] lr: 1.0000e-02 eta: 1 day, 5:07:25 time: 0.2818 data_time: 0.0223 memory: 8198 grad_norm: 5.0540 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6777 loss: 1.6777 2022/08/02 23:21:04 - mmengine - INFO - Epoch(train) [60][1700/1879] lr: 1.0000e-02 eta: 1 day, 5:07:19 time: 0.2851 data_time: 0.0276 memory: 8198 grad_norm: 5.1241 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5658 loss: 1.5658 2022/08/02 23:21:10 - mmengine - INFO - Epoch(train) [60][1720/1879] lr: 1.0000e-02 eta: 1 day, 5:07:14 time: 0.2853 data_time: 0.0236 memory: 8198 grad_norm: 4.9172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6342 loss: 1.6342 2022/08/02 23:21:16 - mmengine - INFO - Epoch(train) [60][1740/1879] lr: 1.0000e-02 eta: 1 day, 5:07:08 time: 0.2863 data_time: 0.0244 memory: 8198 grad_norm: 5.0996 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7059 loss: 1.7059 2022/08/02 23:21:21 - mmengine - INFO - Epoch(train) [60][1760/1879] lr: 1.0000e-02 eta: 1 day, 5:07:02 time: 0.2833 data_time: 0.0220 memory: 8198 grad_norm: 5.1299 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6338 loss: 1.6338 2022/08/02 23:21:27 - mmengine - INFO - Epoch(train) [60][1780/1879] lr: 1.0000e-02 eta: 1 day, 5:06:57 time: 0.2871 data_time: 0.0206 memory: 8198 grad_norm: 5.2397 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7806 loss: 1.7806 2022/08/02 23:21:33 - mmengine - INFO - Epoch(train) [60][1800/1879] lr: 1.0000e-02 eta: 1 day, 5:06:51 time: 0.2796 data_time: 0.0202 memory: 8198 grad_norm: 5.2248 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7808 loss: 1.7808 2022/08/02 23:21:39 - mmengine - INFO - Epoch(train) [60][1820/1879] lr: 1.0000e-02 eta: 1 day, 5:06:45 time: 0.2854 data_time: 0.0225 memory: 8198 grad_norm: 5.2249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7040 loss: 1.7040 2022/08/02 23:21:44 - mmengine - INFO - Epoch(train) [60][1840/1879] lr: 1.0000e-02 eta: 1 day, 5:06:40 time: 0.2877 data_time: 0.0197 memory: 8198 grad_norm: 5.1383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7007 loss: 1.7007 2022/08/02 23:21:50 - mmengine - INFO - Epoch(train) [60][1860/1879] lr: 1.0000e-02 eta: 1 day, 5:06:34 time: 0.2830 data_time: 0.0240 memory: 8198 grad_norm: 5.0574 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9209 loss: 1.9209 2022/08/02 23:21:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:21:55 - mmengine - INFO - Epoch(train) [60][1879/1879] lr: 1.0000e-02 eta: 1 day, 5:06:34 time: 0.2556 data_time: 0.0163 memory: 8198 grad_norm: 5.2596 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8350 loss: 1.8350 2022/08/02 23:21:55 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/02 23:22:04 - mmengine - INFO - Epoch(val) [60][20/155] eta: 0:00:45 time: 0.3344 data_time: 0.2487 memory: 1514 2022/08/02 23:22:09 - mmengine - INFO - Epoch(val) [60][40/155] eta: 0:00:25 time: 0.2194 data_time: 0.1335 memory: 1514 2022/08/02 23:22:15 - mmengine - INFO - Epoch(val) [60][60/155] eta: 0:00:29 time: 0.3136 data_time: 0.2275 memory: 1514 2022/08/02 23:22:20 - mmengine - INFO - Epoch(val) [60][80/155] eta: 0:00:17 time: 0.2305 data_time: 0.1439 memory: 1514 2022/08/02 23:22:26 - mmengine - INFO - Epoch(val) [60][100/155] eta: 0:00:16 time: 0.3049 data_time: 0.2181 memory: 1514 2022/08/02 23:22:30 - mmengine - INFO - Epoch(val) [60][120/155] eta: 0:00:07 time: 0.2209 data_time: 0.1349 memory: 1514 2022/08/02 23:22:36 - mmengine - INFO - Epoch(val) [60][140/155] eta: 0:00:04 time: 0.2779 data_time: 0.1945 memory: 1514 2022/08/02 23:22:40 - mmengine - INFO - Epoch(val) [60][155/155] acc/top1: 0.6352 acc/top5: 0.8456 acc/mean1: 0.6350 2022/08/02 23:22:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_51.pth is removed 2022/08/02 23:22:42 - mmengine - INFO - The best checkpoint with 0.6352 acc/top1 at 61 epoch is saved to best_acc/top1_epoch_61.pth. 2022/08/02 23:22:49 - mmengine - INFO - Epoch(train) [61][20/1879] lr: 1.0000e-02 eta: 1 day, 5:06:11 time: 0.3768 data_time: 0.1221 memory: 8198 grad_norm: 5.0313 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6174 loss: 1.6174 2022/08/02 23:22:55 - mmengine - INFO - Epoch(train) [61][40/1879] lr: 1.0000e-02 eta: 1 day, 5:06:05 time: 0.2847 data_time: 0.0256 memory: 8198 grad_norm: 5.0628 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7342 loss: 1.7342 2022/08/02 23:23:01 - mmengine - INFO - Epoch(train) [61][60/1879] lr: 1.0000e-02 eta: 1 day, 5:06:00 time: 0.2899 data_time: 0.0319 memory: 8198 grad_norm: 5.0415 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7392 loss: 1.7392 2022/08/02 23:23:06 - mmengine - INFO - Epoch(train) [61][80/1879] lr: 1.0000e-02 eta: 1 day, 5:05:54 time: 0.2842 data_time: 0.0218 memory: 8198 grad_norm: 5.1851 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7056 loss: 1.7056 2022/08/02 23:23:12 - mmengine - INFO - Epoch(train) [61][100/1879] lr: 1.0000e-02 eta: 1 day, 5:05:49 time: 0.2836 data_time: 0.0225 memory: 8198 grad_norm: 5.1809 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7024 loss: 1.7024 2022/08/02 23:23:18 - mmengine - INFO - Epoch(train) [61][120/1879] lr: 1.0000e-02 eta: 1 day, 5:05:43 time: 0.2804 data_time: 0.0221 memory: 8198 grad_norm: 5.1972 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3640 loss: 1.3640 2022/08/02 23:23:23 - mmengine - INFO - Epoch(train) [61][140/1879] lr: 1.0000e-02 eta: 1 day, 5:05:37 time: 0.2844 data_time: 0.0276 memory: 8198 grad_norm: 5.0804 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5334 loss: 1.5334 2022/08/02 23:23:29 - mmengine - INFO - Epoch(train) [61][160/1879] lr: 1.0000e-02 eta: 1 day, 5:05:31 time: 0.2848 data_time: 0.0237 memory: 8198 grad_norm: 5.0750 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7191 loss: 1.7191 2022/08/02 23:23:35 - mmengine - INFO - Epoch(train) [61][180/1879] lr: 1.0000e-02 eta: 1 day, 5:05:26 time: 0.2851 data_time: 0.0219 memory: 8198 grad_norm: 5.2517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6386 loss: 1.6386 2022/08/02 23:23:40 - mmengine - INFO - Epoch(train) [61][200/1879] lr: 1.0000e-02 eta: 1 day, 5:05:20 time: 0.2810 data_time: 0.0208 memory: 8198 grad_norm: 5.1918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7165 loss: 1.7165 2022/08/02 23:23:46 - mmengine - INFO - Epoch(train) [61][220/1879] lr: 1.0000e-02 eta: 1 day, 5:05:14 time: 0.2827 data_time: 0.0229 memory: 8198 grad_norm: 5.1426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8682 loss: 1.8682 2022/08/02 23:23:52 - mmengine - INFO - Epoch(train) [61][240/1879] lr: 1.0000e-02 eta: 1 day, 5:05:08 time: 0.2833 data_time: 0.0240 memory: 8198 grad_norm: 5.1970 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7338 loss: 1.7338 2022/08/02 23:23:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:23:58 - mmengine - INFO - Epoch(train) [61][260/1879] lr: 1.0000e-02 eta: 1 day, 5:05:03 time: 0.2965 data_time: 0.0228 memory: 8198 grad_norm: 5.3095 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8457 loss: 1.8457 2022/08/02 23:24:03 - mmengine - INFO - Epoch(train) [61][280/1879] lr: 1.0000e-02 eta: 1 day, 5:04:57 time: 0.2793 data_time: 0.0194 memory: 8198 grad_norm: 5.1909 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7983 loss: 1.7983 2022/08/02 23:24:09 - mmengine - INFO - Epoch(train) [61][300/1879] lr: 1.0000e-02 eta: 1 day, 5:04:52 time: 0.2846 data_time: 0.0263 memory: 8198 grad_norm: 5.1810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8226 loss: 1.8226 2022/08/02 23:24:15 - mmengine - INFO - Epoch(train) [61][320/1879] lr: 1.0000e-02 eta: 1 day, 5:04:46 time: 0.2838 data_time: 0.0231 memory: 8198 grad_norm: 5.0735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7137 loss: 1.7137 2022/08/02 23:24:20 - mmengine - INFO - Epoch(train) [61][340/1879] lr: 1.0000e-02 eta: 1 day, 5:04:40 time: 0.2867 data_time: 0.0247 memory: 8198 grad_norm: 5.1884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7968 loss: 1.7968 2022/08/02 23:24:26 - mmengine - INFO - Epoch(train) [61][360/1879] lr: 1.0000e-02 eta: 1 day, 5:04:34 time: 0.2832 data_time: 0.0220 memory: 8198 grad_norm: 5.0834 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8460 loss: 1.8460 2022/08/02 23:24:32 - mmengine - INFO - Epoch(train) [61][380/1879] lr: 1.0000e-02 eta: 1 day, 5:04:29 time: 0.2836 data_time: 0.0249 memory: 8198 grad_norm: 5.1099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7445 loss: 1.7445 2022/08/02 23:24:37 - mmengine - INFO - Epoch(train) [61][400/1879] lr: 1.0000e-02 eta: 1 day, 5:04:23 time: 0.2838 data_time: 0.0223 memory: 8198 grad_norm: 5.1900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6726 loss: 1.6726 2022/08/02 23:24:43 - mmengine - INFO - Epoch(train) [61][420/1879] lr: 1.0000e-02 eta: 1 day, 5:04:17 time: 0.2851 data_time: 0.0260 memory: 8198 grad_norm: 5.0307 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6626 loss: 1.6626 2022/08/02 23:24:49 - mmengine - INFO - Epoch(train) [61][440/1879] lr: 1.0000e-02 eta: 1 day, 5:04:12 time: 0.2861 data_time: 0.0284 memory: 8198 grad_norm: 5.1419 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7288 loss: 1.7288 2022/08/02 23:24:55 - mmengine - INFO - Epoch(train) [61][460/1879] lr: 1.0000e-02 eta: 1 day, 5:04:06 time: 0.2812 data_time: 0.0232 memory: 8198 grad_norm: 5.2216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/08/02 23:25:00 - mmengine - INFO - Epoch(train) [61][480/1879] lr: 1.0000e-02 eta: 1 day, 5:04:00 time: 0.2862 data_time: 0.0225 memory: 8198 grad_norm: 5.1383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5160 loss: 1.5160 2022/08/02 23:25:06 - mmengine - INFO - Epoch(train) [61][500/1879] lr: 1.0000e-02 eta: 1 day, 5:03:54 time: 0.2810 data_time: 0.0265 memory: 8198 grad_norm: 5.2794 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7555 loss: 1.7555 2022/08/02 23:25:12 - mmengine - INFO - Epoch(train) [61][520/1879] lr: 1.0000e-02 eta: 1 day, 5:03:48 time: 0.2801 data_time: 0.0211 memory: 8198 grad_norm: 5.1371 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8926 loss: 1.8926 2022/08/02 23:25:17 - mmengine - INFO - Epoch(train) [61][540/1879] lr: 1.0000e-02 eta: 1 day, 5:03:43 time: 0.2897 data_time: 0.0243 memory: 8198 grad_norm: 5.0249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7724 loss: 1.7724 2022/08/02 23:25:23 - mmengine - INFO - Epoch(train) [61][560/1879] lr: 1.0000e-02 eta: 1 day, 5:03:37 time: 0.2817 data_time: 0.0258 memory: 8198 grad_norm: 5.1185 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8106 loss: 1.8106 2022/08/02 23:25:29 - mmengine - INFO - Epoch(train) [61][580/1879] lr: 1.0000e-02 eta: 1 day, 5:03:32 time: 0.2869 data_time: 0.0231 memory: 8198 grad_norm: 5.0676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6183 loss: 1.6183 2022/08/02 23:25:35 - mmengine - INFO - Epoch(train) [61][600/1879] lr: 1.0000e-02 eta: 1 day, 5:03:26 time: 0.2882 data_time: 0.0293 memory: 8198 grad_norm: 5.0493 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7089 loss: 1.7089 2022/08/02 23:25:40 - mmengine - INFO - Epoch(train) [61][620/1879] lr: 1.0000e-02 eta: 1 day, 5:03:20 time: 0.2833 data_time: 0.0250 memory: 8198 grad_norm: 5.1940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7450 loss: 1.7450 2022/08/02 23:25:46 - mmengine - INFO - Epoch(train) [61][640/1879] lr: 1.0000e-02 eta: 1 day, 5:03:14 time: 0.2811 data_time: 0.0268 memory: 8198 grad_norm: 5.1802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6560 loss: 1.6560 2022/08/02 23:25:51 - mmengine - INFO - Epoch(train) [61][660/1879] lr: 1.0000e-02 eta: 1 day, 5:03:09 time: 0.2811 data_time: 0.0222 memory: 8198 grad_norm: 5.2674 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6587 loss: 1.6587 2022/08/02 23:25:57 - mmengine - INFO - Epoch(train) [61][680/1879] lr: 1.0000e-02 eta: 1 day, 5:03:03 time: 0.2815 data_time: 0.0245 memory: 8198 grad_norm: 5.2951 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5493 loss: 1.5493 2022/08/02 23:26:03 - mmengine - INFO - Epoch(train) [61][700/1879] lr: 1.0000e-02 eta: 1 day, 5:02:57 time: 0.2848 data_time: 0.0277 memory: 8198 grad_norm: 5.1652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6639 loss: 1.6639 2022/08/02 23:26:08 - mmengine - INFO - Epoch(train) [61][720/1879] lr: 1.0000e-02 eta: 1 day, 5:02:51 time: 0.2823 data_time: 0.0228 memory: 8198 grad_norm: 5.1755 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/08/02 23:26:14 - mmengine - INFO - Epoch(train) [61][740/1879] lr: 1.0000e-02 eta: 1 day, 5:02:45 time: 0.2845 data_time: 0.0229 memory: 8198 grad_norm: 5.2222 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5339 loss: 1.5339 2022/08/02 23:26:20 - mmengine - INFO - Epoch(train) [61][760/1879] lr: 1.0000e-02 eta: 1 day, 5:02:40 time: 0.2899 data_time: 0.0247 memory: 8198 grad_norm: 5.1664 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4687 loss: 1.4687 2022/08/02 23:26:26 - mmengine - INFO - Epoch(train) [61][780/1879] lr: 1.0000e-02 eta: 1 day, 5:02:35 time: 0.2864 data_time: 0.0247 memory: 8198 grad_norm: 5.2415 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7691 loss: 1.7691 2022/08/02 23:26:31 - mmengine - INFO - Epoch(train) [61][800/1879] lr: 1.0000e-02 eta: 1 day, 5:02:29 time: 0.2828 data_time: 0.0226 memory: 8198 grad_norm: 5.2050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6612 loss: 1.6612 2022/08/02 23:26:38 - mmengine - INFO - Epoch(train) [61][820/1879] lr: 1.0000e-02 eta: 1 day, 5:02:25 time: 0.3096 data_time: 0.0237 memory: 8198 grad_norm: 5.1839 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6283 loss: 1.6283 2022/08/02 23:26:43 - mmengine - INFO - Epoch(train) [61][840/1879] lr: 1.0000e-02 eta: 1 day, 5:02:19 time: 0.2817 data_time: 0.0243 memory: 8198 grad_norm: 5.2750 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5953 loss: 1.5953 2022/08/02 23:26:49 - mmengine - INFO - Epoch(train) [61][860/1879] lr: 1.0000e-02 eta: 1 day, 5:02:13 time: 0.2811 data_time: 0.0231 memory: 8198 grad_norm: 5.1723 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5713 loss: 1.5713 2022/08/02 23:26:54 - mmengine - INFO - Epoch(train) [61][880/1879] lr: 1.0000e-02 eta: 1 day, 5:02:07 time: 0.2804 data_time: 0.0215 memory: 8198 grad_norm: 5.1558 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8933 loss: 1.8933 2022/08/02 23:27:00 - mmengine - INFO - Epoch(train) [61][900/1879] lr: 1.0000e-02 eta: 1 day, 5:02:01 time: 0.2860 data_time: 0.0248 memory: 8198 grad_norm: 5.2416 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6310 loss: 1.6310 2022/08/02 23:27:06 - mmengine - INFO - Epoch(train) [61][920/1879] lr: 1.0000e-02 eta: 1 day, 5:01:56 time: 0.2845 data_time: 0.0240 memory: 8198 grad_norm: 5.1296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7575 loss: 1.7575 2022/08/02 23:27:12 - mmengine - INFO - Epoch(train) [61][940/1879] lr: 1.0000e-02 eta: 1 day, 5:01:50 time: 0.2830 data_time: 0.0210 memory: 8198 grad_norm: 5.2246 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7198 loss: 1.7198 2022/08/02 23:27:17 - mmengine - INFO - Epoch(train) [61][960/1879] lr: 1.0000e-02 eta: 1 day, 5:01:45 time: 0.2934 data_time: 0.0249 memory: 8198 grad_norm: 5.2316 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7319 loss: 1.7319 2022/08/02 23:27:23 - mmengine - INFO - Epoch(train) [61][980/1879] lr: 1.0000e-02 eta: 1 day, 5:01:39 time: 0.2862 data_time: 0.0257 memory: 8198 grad_norm: 5.1449 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6865 loss: 1.6865 2022/08/02 23:27:29 - mmengine - INFO - Epoch(train) [61][1000/1879] lr: 1.0000e-02 eta: 1 day, 5:01:33 time: 0.2840 data_time: 0.0235 memory: 8198 grad_norm: 5.2543 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7114 loss: 1.7114 2022/08/02 23:27:35 - mmengine - INFO - Epoch(train) [61][1020/1879] lr: 1.0000e-02 eta: 1 day, 5:01:28 time: 0.2918 data_time: 0.0224 memory: 8198 grad_norm: 5.0705 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9234 loss: 1.9234 2022/08/02 23:27:41 - mmengine - INFO - Epoch(train) [61][1040/1879] lr: 1.0000e-02 eta: 1 day, 5:01:23 time: 0.2910 data_time: 0.0219 memory: 8198 grad_norm: 5.0405 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7346 loss: 1.7346 2022/08/02 23:27:46 - mmengine - INFO - Epoch(train) [61][1060/1879] lr: 1.0000e-02 eta: 1 day, 5:01:17 time: 0.2860 data_time: 0.0278 memory: 8198 grad_norm: 5.0569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8788 loss: 1.8788 2022/08/02 23:27:52 - mmengine - INFO - Epoch(train) [61][1080/1879] lr: 1.0000e-02 eta: 1 day, 5:01:11 time: 0.2796 data_time: 0.0212 memory: 8198 grad_norm: 4.9599 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6667 loss: 1.6667 2022/08/02 23:27:58 - mmengine - INFO - Epoch(train) [61][1100/1879] lr: 1.0000e-02 eta: 1 day, 5:01:06 time: 0.2860 data_time: 0.0239 memory: 8198 grad_norm: 5.1525 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6220 loss: 1.6220 2022/08/02 23:28:03 - mmengine - INFO - Epoch(train) [61][1120/1879] lr: 1.0000e-02 eta: 1 day, 5:01:00 time: 0.2810 data_time: 0.0236 memory: 8198 grad_norm: 5.1044 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7902 loss: 1.7902 2022/08/02 23:28:09 - mmengine - INFO - Epoch(train) [61][1140/1879] lr: 1.0000e-02 eta: 1 day, 5:00:54 time: 0.2834 data_time: 0.0226 memory: 8198 grad_norm: 5.1469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6046 loss: 1.6046 2022/08/02 23:28:15 - mmengine - INFO - Epoch(train) [61][1160/1879] lr: 1.0000e-02 eta: 1 day, 5:00:48 time: 0.2850 data_time: 0.0223 memory: 8198 grad_norm: 5.1755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7082 loss: 1.7082 2022/08/02 23:28:21 - mmengine - INFO - Epoch(train) [61][1180/1879] lr: 1.0000e-02 eta: 1 day, 5:00:44 time: 0.2959 data_time: 0.0230 memory: 8198 grad_norm: 5.1740 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7523 loss: 1.7523 2022/08/02 23:28:26 - mmengine - INFO - Epoch(train) [61][1200/1879] lr: 1.0000e-02 eta: 1 day, 5:00:38 time: 0.2885 data_time: 0.0283 memory: 8198 grad_norm: 5.1097 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6403 loss: 1.6403 2022/08/02 23:28:32 - mmengine - INFO - Epoch(train) [61][1220/1879] lr: 1.0000e-02 eta: 1 day, 5:00:32 time: 0.2778 data_time: 0.0243 memory: 8198 grad_norm: 5.4297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6803 loss: 1.6803 2022/08/02 23:28:38 - mmengine - INFO - Epoch(train) [61][1240/1879] lr: 1.0000e-02 eta: 1 day, 5:00:27 time: 0.2920 data_time: 0.0181 memory: 8198 grad_norm: 5.2251 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6709 loss: 1.6709 2022/08/02 23:28:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:28:43 - mmengine - INFO - Epoch(train) [61][1260/1879] lr: 1.0000e-02 eta: 1 day, 5:00:21 time: 0.2832 data_time: 0.0255 memory: 8198 grad_norm: 5.1277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8523 loss: 1.8523 2022/08/02 23:28:49 - mmengine - INFO - Epoch(train) [61][1280/1879] lr: 1.0000e-02 eta: 1 day, 5:00:15 time: 0.2862 data_time: 0.0247 memory: 8198 grad_norm: 5.1545 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5685 loss: 1.5685 2022/08/02 23:28:55 - mmengine - INFO - Epoch(train) [61][1300/1879] lr: 1.0000e-02 eta: 1 day, 5:00:10 time: 0.2850 data_time: 0.0315 memory: 8198 grad_norm: 5.0838 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8214 loss: 1.8214 2022/08/02 23:29:01 - mmengine - INFO - Epoch(train) [61][1320/1879] lr: 1.0000e-02 eta: 1 day, 5:00:04 time: 0.2817 data_time: 0.0205 memory: 8198 grad_norm: 5.2248 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9656 loss: 1.9656 2022/08/02 23:29:06 - mmengine - INFO - Epoch(train) [61][1340/1879] lr: 1.0000e-02 eta: 1 day, 4:59:58 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 5.3258 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7509 loss: 1.7509 2022/08/02 23:29:12 - mmengine - INFO - Epoch(train) [61][1360/1879] lr: 1.0000e-02 eta: 1 day, 4:59:52 time: 0.2802 data_time: 0.0202 memory: 8198 grad_norm: 5.2499 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6491 loss: 1.6491 2022/08/02 23:29:18 - mmengine - INFO - Epoch(train) [61][1380/1879] lr: 1.0000e-02 eta: 1 day, 4:59:46 time: 0.2819 data_time: 0.0218 memory: 8198 grad_norm: 5.1127 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7121 loss: 1.7121 2022/08/02 23:29:23 - mmengine - INFO - Epoch(train) [61][1400/1879] lr: 1.0000e-02 eta: 1 day, 4:59:41 time: 0.2831 data_time: 0.0243 memory: 8198 grad_norm: 5.1929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6797 loss: 1.6797 2022/08/02 23:29:29 - mmengine - INFO - Epoch(train) [61][1420/1879] lr: 1.0000e-02 eta: 1 day, 4:59:35 time: 0.2851 data_time: 0.0236 memory: 8198 grad_norm: 5.1991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5815 loss: 1.5815 2022/08/02 23:29:35 - mmengine - INFO - Epoch(train) [61][1440/1879] lr: 1.0000e-02 eta: 1 day, 4:59:29 time: 0.2828 data_time: 0.0256 memory: 8198 grad_norm: 5.1959 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7118 loss: 1.7118 2022/08/02 23:29:40 - mmengine - INFO - Epoch(train) [61][1460/1879] lr: 1.0000e-02 eta: 1 day, 4:59:24 time: 0.2886 data_time: 0.0255 memory: 8198 grad_norm: 5.1488 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7042 loss: 1.7042 2022/08/02 23:29:46 - mmengine - INFO - Epoch(train) [61][1480/1879] lr: 1.0000e-02 eta: 1 day, 4:59:19 time: 0.2931 data_time: 0.0355 memory: 8198 grad_norm: 5.1530 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7848 loss: 1.7848 2022/08/02 23:29:52 - mmengine - INFO - Epoch(train) [61][1500/1879] lr: 1.0000e-02 eta: 1 day, 4:59:13 time: 0.2835 data_time: 0.0279 memory: 8198 grad_norm: 5.1071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7362 loss: 1.7362 2022/08/02 23:29:58 - mmengine - INFO - Epoch(train) [61][1520/1879] lr: 1.0000e-02 eta: 1 day, 4:59:07 time: 0.2854 data_time: 0.0260 memory: 8198 grad_norm: 5.2287 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7298 loss: 1.7298 2022/08/02 23:30:03 - mmengine - INFO - Epoch(train) [61][1540/1879] lr: 1.0000e-02 eta: 1 day, 4:59:01 time: 0.2799 data_time: 0.0201 memory: 8198 grad_norm: 5.1728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8076 loss: 1.8076 2022/08/02 23:30:09 - mmengine - INFO - Epoch(train) [61][1560/1879] lr: 1.0000e-02 eta: 1 day, 4:58:55 time: 0.2836 data_time: 0.0242 memory: 8198 grad_norm: 5.2570 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7823 loss: 1.7823 2022/08/02 23:30:15 - mmengine - INFO - Epoch(train) [61][1580/1879] lr: 1.0000e-02 eta: 1 day, 4:58:50 time: 0.2840 data_time: 0.0235 memory: 8198 grad_norm: 5.1110 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6786 loss: 1.6786 2022/08/02 23:30:20 - mmengine - INFO - Epoch(train) [61][1600/1879] lr: 1.0000e-02 eta: 1 day, 4:58:44 time: 0.2807 data_time: 0.0207 memory: 8198 grad_norm: 5.0900 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5201 loss: 1.5201 2022/08/02 23:30:26 - mmengine - INFO - Epoch(train) [61][1620/1879] lr: 1.0000e-02 eta: 1 day, 4:58:38 time: 0.2819 data_time: 0.0200 memory: 8198 grad_norm: 5.0149 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5508 loss: 1.5508 2022/08/02 23:30:32 - mmengine - INFO - Epoch(train) [61][1640/1879] lr: 1.0000e-02 eta: 1 day, 4:58:33 time: 0.2897 data_time: 0.0234 memory: 8198 grad_norm: 5.1524 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6350 loss: 1.6350 2022/08/02 23:30:38 - mmengine - INFO - Epoch(train) [61][1660/1879] lr: 1.0000e-02 eta: 1 day, 4:58:27 time: 0.2913 data_time: 0.0279 memory: 8198 grad_norm: 5.1305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6876 loss: 1.6876 2022/08/02 23:30:43 - mmengine - INFO - Epoch(train) [61][1680/1879] lr: 1.0000e-02 eta: 1 day, 4:58:21 time: 0.2810 data_time: 0.0213 memory: 8198 grad_norm: 5.2740 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6407 loss: 1.6407 2022/08/02 23:30:49 - mmengine - INFO - Epoch(train) [61][1700/1879] lr: 1.0000e-02 eta: 1 day, 4:58:16 time: 0.2832 data_time: 0.0222 memory: 8198 grad_norm: 5.1567 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7329 loss: 1.7329 2022/08/02 23:30:55 - mmengine - INFO - Epoch(train) [61][1720/1879] lr: 1.0000e-02 eta: 1 day, 4:58:10 time: 0.2832 data_time: 0.0251 memory: 8198 grad_norm: 5.0473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8478 loss: 1.8478 2022/08/02 23:31:00 - mmengine - INFO - Epoch(train) [61][1740/1879] lr: 1.0000e-02 eta: 1 day, 4:58:04 time: 0.2876 data_time: 0.0230 memory: 8198 grad_norm: 5.3120 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6418 loss: 1.6418 2022/08/02 23:31:06 - mmengine - INFO - Epoch(train) [61][1760/1879] lr: 1.0000e-02 eta: 1 day, 4:57:59 time: 0.2912 data_time: 0.0187 memory: 8198 grad_norm: 5.0733 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6856 loss: 1.6856 2022/08/02 23:31:12 - mmengine - INFO - Epoch(train) [61][1780/1879] lr: 1.0000e-02 eta: 1 day, 4:57:53 time: 0.2786 data_time: 0.0226 memory: 8198 grad_norm: 5.1313 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9480 loss: 1.9480 2022/08/02 23:31:17 - mmengine - INFO - Epoch(train) [61][1800/1879] lr: 1.0000e-02 eta: 1 day, 4:57:47 time: 0.2858 data_time: 0.0240 memory: 8198 grad_norm: 5.0854 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8594 loss: 1.8594 2022/08/02 23:31:23 - mmengine - INFO - Epoch(train) [61][1820/1879] lr: 1.0000e-02 eta: 1 day, 4:57:42 time: 0.2833 data_time: 0.0250 memory: 8198 grad_norm: 5.0695 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4959 loss: 1.4959 2022/08/02 23:31:29 - mmengine - INFO - Epoch(train) [61][1840/1879] lr: 1.0000e-02 eta: 1 day, 4:57:36 time: 0.2839 data_time: 0.0184 memory: 8198 grad_norm: 5.2799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9439 loss: 1.9439 2022/08/02 23:31:35 - mmengine - INFO - Epoch(train) [61][1860/1879] lr: 1.0000e-02 eta: 1 day, 4:57:30 time: 0.2839 data_time: 0.0253 memory: 8198 grad_norm: 5.1920 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7011 loss: 1.7011 2022/08/02 23:31:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:31:40 - mmengine - INFO - Epoch(train) [61][1879/1879] lr: 1.0000e-02 eta: 1 day, 4:57:30 time: 0.2629 data_time: 0.0164 memory: 8198 grad_norm: 5.2732 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6093 loss: 1.6093 2022/08/02 23:31:47 - mmengine - INFO - Epoch(train) [62][20/1879] lr: 1.0000e-02 eta: 1 day, 4:57:09 time: 0.3957 data_time: 0.1181 memory: 8198 grad_norm: 5.1717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7555 loss: 1.7555 2022/08/02 23:31:53 - mmengine - INFO - Epoch(train) [62][40/1879] lr: 1.0000e-02 eta: 1 day, 4:57:04 time: 0.2936 data_time: 0.0181 memory: 8198 grad_norm: 5.2032 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7691 loss: 1.7691 2022/08/02 23:31:59 - mmengine - INFO - Epoch(train) [62][60/1879] lr: 1.0000e-02 eta: 1 day, 4:56:59 time: 0.2912 data_time: 0.0230 memory: 8198 grad_norm: 5.2864 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4524 loss: 1.4524 2022/08/02 23:32:05 - mmengine - INFO - Epoch(train) [62][80/1879] lr: 1.0000e-02 eta: 1 day, 4:56:53 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 5.2667 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8122 loss: 1.8122 2022/08/02 23:32:11 - mmengine - INFO - Epoch(train) [62][100/1879] lr: 1.0000e-02 eta: 1 day, 4:56:48 time: 0.2900 data_time: 0.0232 memory: 8198 grad_norm: 5.0520 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5990 loss: 1.5990 2022/08/02 23:32:17 - mmengine - INFO - Epoch(train) [62][120/1879] lr: 1.0000e-02 eta: 1 day, 4:56:42 time: 0.2926 data_time: 0.0232 memory: 8198 grad_norm: 5.3820 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5808 loss: 1.5808 2022/08/02 23:32:22 - mmengine - INFO - Epoch(train) [62][140/1879] lr: 1.0000e-02 eta: 1 day, 4:56:36 time: 0.2805 data_time: 0.0237 memory: 8198 grad_norm: 5.2605 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4988 loss: 1.4988 2022/08/02 23:32:28 - mmengine - INFO - Epoch(train) [62][160/1879] lr: 1.0000e-02 eta: 1 day, 4:56:31 time: 0.2828 data_time: 0.0211 memory: 8198 grad_norm: 5.2371 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6156 loss: 1.6156 2022/08/02 23:32:33 - mmengine - INFO - Epoch(train) [62][180/1879] lr: 1.0000e-02 eta: 1 day, 4:56:25 time: 0.2788 data_time: 0.0215 memory: 8198 grad_norm: 5.2415 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6726 loss: 1.6726 2022/08/02 23:32:39 - mmengine - INFO - Epoch(train) [62][200/1879] lr: 1.0000e-02 eta: 1 day, 4:56:19 time: 0.2907 data_time: 0.0269 memory: 8198 grad_norm: 5.1666 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5575 loss: 1.5575 2022/08/02 23:32:45 - mmengine - INFO - Epoch(train) [62][220/1879] lr: 1.0000e-02 eta: 1 day, 4:56:14 time: 0.2830 data_time: 0.0245 memory: 8198 grad_norm: 5.1766 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6651 loss: 1.6651 2022/08/02 23:32:51 - mmengine - INFO - Epoch(train) [62][240/1879] lr: 1.0000e-02 eta: 1 day, 4:56:08 time: 0.2831 data_time: 0.0225 memory: 8198 grad_norm: 5.1229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7497 loss: 1.7497 2022/08/02 23:32:56 - mmengine - INFO - Epoch(train) [62][260/1879] lr: 1.0000e-02 eta: 1 day, 4:56:03 time: 0.2924 data_time: 0.0211 memory: 8198 grad_norm: 5.2859 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4367 loss: 1.4367 2022/08/02 23:33:02 - mmengine - INFO - Epoch(train) [62][280/1879] lr: 1.0000e-02 eta: 1 day, 4:55:57 time: 0.2821 data_time: 0.0229 memory: 8198 grad_norm: 5.0775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8281 loss: 1.8281 2022/08/02 23:33:08 - mmengine - INFO - Epoch(train) [62][300/1879] lr: 1.0000e-02 eta: 1 day, 4:55:51 time: 0.2818 data_time: 0.0184 memory: 8198 grad_norm: 5.1817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8652 loss: 1.8652 2022/08/02 23:33:14 - mmengine - INFO - Epoch(train) [62][320/1879] lr: 1.0000e-02 eta: 1 day, 4:55:47 time: 0.3063 data_time: 0.0255 memory: 8198 grad_norm: 5.0820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6783 loss: 1.6783 2022/08/02 23:33:20 - mmengine - INFO - Epoch(train) [62][340/1879] lr: 1.0000e-02 eta: 1 day, 4:55:41 time: 0.2810 data_time: 0.0235 memory: 8198 grad_norm: 5.0319 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/08/02 23:33:25 - mmengine - INFO - Epoch(train) [62][360/1879] lr: 1.0000e-02 eta: 1 day, 4:55:35 time: 0.2863 data_time: 0.0208 memory: 8198 grad_norm: 5.2441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9772 loss: 1.9772 2022/08/02 23:33:33 - mmengine - INFO - Epoch(train) [62][380/1879] lr: 1.0000e-02 eta: 1 day, 4:55:35 time: 0.3693 data_time: 0.0199 memory: 8198 grad_norm: 5.1673 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6366 loss: 1.6366 2022/08/02 23:33:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:33:38 - mmengine - INFO - Epoch(train) [62][400/1879] lr: 1.0000e-02 eta: 1 day, 4:55:29 time: 0.2866 data_time: 0.0211 memory: 8198 grad_norm: 5.0830 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5969 loss: 1.5969 2022/08/02 23:33:44 - mmengine - INFO - Epoch(train) [62][420/1879] lr: 1.0000e-02 eta: 1 day, 4:55:23 time: 0.2817 data_time: 0.0234 memory: 8198 grad_norm: 5.1537 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7224 loss: 1.7224 2022/08/02 23:33:50 - mmengine - INFO - Epoch(train) [62][440/1879] lr: 1.0000e-02 eta: 1 day, 4:55:18 time: 0.2962 data_time: 0.0212 memory: 8198 grad_norm: 5.2058 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/08/02 23:33:56 - mmengine - INFO - Epoch(train) [62][460/1879] lr: 1.0000e-02 eta: 1 day, 4:55:13 time: 0.2857 data_time: 0.0244 memory: 8198 grad_norm: 5.1513 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8023 loss: 1.8023 2022/08/02 23:34:01 - mmengine - INFO - Epoch(train) [62][480/1879] lr: 1.0000e-02 eta: 1 day, 4:55:07 time: 0.2831 data_time: 0.0230 memory: 8198 grad_norm: 5.3264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8061 loss: 1.8061 2022/08/02 23:34:07 - mmengine - INFO - Epoch(train) [62][500/1879] lr: 1.0000e-02 eta: 1 day, 4:55:01 time: 0.2841 data_time: 0.0240 memory: 8198 grad_norm: 5.0634 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6365 loss: 1.6365 2022/08/02 23:34:13 - mmengine - INFO - Epoch(train) [62][520/1879] lr: 1.0000e-02 eta: 1 day, 4:54:55 time: 0.2816 data_time: 0.0217 memory: 8198 grad_norm: 5.0065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7333 loss: 1.7333 2022/08/02 23:34:19 - mmengine - INFO - Epoch(train) [62][540/1879] lr: 1.0000e-02 eta: 1 day, 4:54:50 time: 0.2879 data_time: 0.0241 memory: 8198 grad_norm: 5.2924 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7646 loss: 1.7646 2022/08/02 23:34:24 - mmengine - INFO - Epoch(train) [62][560/1879] lr: 1.0000e-02 eta: 1 day, 4:54:44 time: 0.2829 data_time: 0.0260 memory: 8198 grad_norm: 5.1353 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6449 loss: 1.6449 2022/08/02 23:34:30 - mmengine - INFO - Epoch(train) [62][580/1879] lr: 1.0000e-02 eta: 1 day, 4:54:38 time: 0.2839 data_time: 0.0290 memory: 8198 grad_norm: 5.2302 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6959 loss: 1.6959 2022/08/02 23:34:36 - mmengine - INFO - Epoch(train) [62][600/1879] lr: 1.0000e-02 eta: 1 day, 4:54:33 time: 0.2837 data_time: 0.0207 memory: 8198 grad_norm: 5.3207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7382 loss: 1.7382 2022/08/02 23:34:41 - mmengine - INFO - Epoch(train) [62][620/1879] lr: 1.0000e-02 eta: 1 day, 4:54:27 time: 0.2887 data_time: 0.0238 memory: 8198 grad_norm: 5.0666 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6360 loss: 1.6360 2022/08/02 23:34:47 - mmengine - INFO - Epoch(train) [62][640/1879] lr: 1.0000e-02 eta: 1 day, 4:54:21 time: 0.2807 data_time: 0.0132 memory: 8198 grad_norm: 5.2257 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6902 loss: 1.6902 2022/08/02 23:34:53 - mmengine - INFO - Epoch(train) [62][660/1879] lr: 1.0000e-02 eta: 1 day, 4:54:16 time: 0.2836 data_time: 0.0217 memory: 8198 grad_norm: 5.1875 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7159 loss: 1.7159 2022/08/02 23:34:58 - mmengine - INFO - Epoch(train) [62][680/1879] lr: 1.0000e-02 eta: 1 day, 4:54:10 time: 0.2839 data_time: 0.0218 memory: 8198 grad_norm: 5.1973 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5378 loss: 1.5378 2022/08/02 23:35:04 - mmengine - INFO - Epoch(train) [62][700/1879] lr: 1.0000e-02 eta: 1 day, 4:54:04 time: 0.2890 data_time: 0.0224 memory: 8198 grad_norm: 5.1861 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7978 loss: 1.7978 2022/08/02 23:35:10 - mmengine - INFO - Epoch(train) [62][720/1879] lr: 1.0000e-02 eta: 1 day, 4:53:59 time: 0.2853 data_time: 0.0225 memory: 8198 grad_norm: 5.1347 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7142 loss: 1.7142 2022/08/02 23:35:16 - mmengine - INFO - Epoch(train) [62][740/1879] lr: 1.0000e-02 eta: 1 day, 4:53:53 time: 0.2837 data_time: 0.0284 memory: 8198 grad_norm: 5.1607 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6351 loss: 1.6351 2022/08/02 23:35:21 - mmengine - INFO - Epoch(train) [62][760/1879] lr: 1.0000e-02 eta: 1 day, 4:53:47 time: 0.2787 data_time: 0.0213 memory: 8198 grad_norm: 5.2153 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6327 loss: 1.6327 2022/08/02 23:35:27 - mmengine - INFO - Epoch(train) [62][780/1879] lr: 1.0000e-02 eta: 1 day, 4:53:41 time: 0.2834 data_time: 0.0196 memory: 8198 grad_norm: 5.2197 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8398 loss: 1.8398 2022/08/02 23:35:32 - mmengine - INFO - Epoch(train) [62][800/1879] lr: 1.0000e-02 eta: 1 day, 4:53:35 time: 0.2814 data_time: 0.0257 memory: 8198 grad_norm: 5.1470 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7386 loss: 1.7386 2022/08/02 23:35:38 - mmengine - INFO - Epoch(train) [62][820/1879] lr: 1.0000e-02 eta: 1 day, 4:53:30 time: 0.2854 data_time: 0.0240 memory: 8198 grad_norm: 5.1635 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7124 loss: 1.7124 2022/08/02 23:35:44 - mmengine - INFO - Epoch(train) [62][840/1879] lr: 1.0000e-02 eta: 1 day, 4:53:24 time: 0.2829 data_time: 0.0216 memory: 8198 grad_norm: 5.1324 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8549 loss: 1.8549 2022/08/02 23:35:50 - mmengine - INFO - Epoch(train) [62][860/1879] lr: 1.0000e-02 eta: 1 day, 4:53:18 time: 0.2866 data_time: 0.0227 memory: 8198 grad_norm: 5.0946 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6192 loss: 1.6192 2022/08/02 23:35:55 - mmengine - INFO - Epoch(train) [62][880/1879] lr: 1.0000e-02 eta: 1 day, 4:53:13 time: 0.2821 data_time: 0.0233 memory: 8198 grad_norm: 5.1667 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7041 loss: 1.7041 2022/08/02 23:36:01 - mmengine - INFO - Epoch(train) [62][900/1879] lr: 1.0000e-02 eta: 1 day, 4:53:07 time: 0.2877 data_time: 0.0251 memory: 8198 grad_norm: 5.1818 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6603 loss: 1.6603 2022/08/02 23:36:07 - mmengine - INFO - Epoch(train) [62][920/1879] lr: 1.0000e-02 eta: 1 day, 4:53:01 time: 0.2820 data_time: 0.0257 memory: 8198 grad_norm: 5.1550 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7069 loss: 1.7069 2022/08/02 23:36:12 - mmengine - INFO - Epoch(train) [62][940/1879] lr: 1.0000e-02 eta: 1 day, 4:52:56 time: 0.2861 data_time: 0.0258 memory: 8198 grad_norm: 5.0798 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7462 loss: 1.7462 2022/08/02 23:36:18 - mmengine - INFO - Epoch(train) [62][960/1879] lr: 1.0000e-02 eta: 1 day, 4:52:50 time: 0.2856 data_time: 0.0179 memory: 8198 grad_norm: 5.1520 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7291 loss: 1.7291 2022/08/02 23:36:24 - mmengine - INFO - Epoch(train) [62][980/1879] lr: 1.0000e-02 eta: 1 day, 4:52:44 time: 0.2810 data_time: 0.0197 memory: 8198 grad_norm: 5.1664 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8032 loss: 1.8032 2022/08/02 23:36:29 - mmengine - INFO - Epoch(train) [62][1000/1879] lr: 1.0000e-02 eta: 1 day, 4:52:38 time: 0.2844 data_time: 0.0243 memory: 8198 grad_norm: 5.0720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7797 loss: 1.7797 2022/08/02 23:36:35 - mmengine - INFO - Epoch(train) [62][1020/1879] lr: 1.0000e-02 eta: 1 day, 4:52:33 time: 0.2839 data_time: 0.0238 memory: 8198 grad_norm: 5.0895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5472 loss: 1.5472 2022/08/02 23:36:41 - mmengine - INFO - Epoch(train) [62][1040/1879] lr: 1.0000e-02 eta: 1 day, 4:52:27 time: 0.2849 data_time: 0.0189 memory: 8198 grad_norm: 5.1048 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7856 loss: 1.7856 2022/08/02 23:36:47 - mmengine - INFO - Epoch(train) [62][1060/1879] lr: 1.0000e-02 eta: 1 day, 4:52:21 time: 0.2864 data_time: 0.0237 memory: 8198 grad_norm: 5.0901 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7169 loss: 1.7169 2022/08/02 23:36:52 - mmengine - INFO - Epoch(train) [62][1080/1879] lr: 1.0000e-02 eta: 1 day, 4:52:16 time: 0.2820 data_time: 0.0215 memory: 8198 grad_norm: 5.0940 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7958 loss: 1.7958 2022/08/02 23:36:58 - mmengine - INFO - Epoch(train) [62][1100/1879] lr: 1.0000e-02 eta: 1 day, 4:52:10 time: 0.2813 data_time: 0.0206 memory: 8198 grad_norm: 5.1734 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6423 loss: 1.6423 2022/08/02 23:37:04 - mmengine - INFO - Epoch(train) [62][1120/1879] lr: 1.0000e-02 eta: 1 day, 4:52:04 time: 0.2821 data_time: 0.0263 memory: 8198 grad_norm: 5.0292 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5493 loss: 1.5493 2022/08/02 23:37:09 - mmengine - INFO - Epoch(train) [62][1140/1879] lr: 1.0000e-02 eta: 1 day, 4:51:58 time: 0.2855 data_time: 0.0213 memory: 8198 grad_norm: 5.0916 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6995 loss: 1.6995 2022/08/02 23:37:15 - mmengine - INFO - Epoch(train) [62][1160/1879] lr: 1.0000e-02 eta: 1 day, 4:51:52 time: 0.2810 data_time: 0.0207 memory: 8198 grad_norm: 5.1470 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5043 loss: 1.5043 2022/08/02 23:37:21 - mmengine - INFO - Epoch(train) [62][1180/1879] lr: 1.0000e-02 eta: 1 day, 4:51:47 time: 0.2830 data_time: 0.0227 memory: 8198 grad_norm: 5.0939 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7501 loss: 1.7501 2022/08/02 23:37:26 - mmengine - INFO - Epoch(train) [62][1200/1879] lr: 1.0000e-02 eta: 1 day, 4:51:41 time: 0.2880 data_time: 0.0278 memory: 8198 grad_norm: 5.3130 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8179 loss: 1.8179 2022/08/02 23:37:32 - mmengine - INFO - Epoch(train) [62][1220/1879] lr: 1.0000e-02 eta: 1 day, 4:51:35 time: 0.2835 data_time: 0.0255 memory: 8198 grad_norm: 5.2500 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7504 loss: 1.7504 2022/08/02 23:37:38 - mmengine - INFO - Epoch(train) [62][1240/1879] lr: 1.0000e-02 eta: 1 day, 4:51:30 time: 0.2843 data_time: 0.0232 memory: 8198 grad_norm: 5.2351 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8331 loss: 1.8331 2022/08/02 23:37:43 - mmengine - INFO - Epoch(train) [62][1260/1879] lr: 1.0000e-02 eta: 1 day, 4:51:24 time: 0.2859 data_time: 0.0214 memory: 8198 grad_norm: 5.2332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7430 loss: 1.7430 2022/08/02 23:37:49 - mmengine - INFO - Epoch(train) [62][1280/1879] lr: 1.0000e-02 eta: 1 day, 4:51:18 time: 0.2828 data_time: 0.0298 memory: 8198 grad_norm: 5.1383 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6545 loss: 1.6545 2022/08/02 23:37:55 - mmengine - INFO - Epoch(train) [62][1300/1879] lr: 1.0000e-02 eta: 1 day, 4:51:12 time: 0.2839 data_time: 0.0255 memory: 8198 grad_norm: 5.2714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/08/02 23:38:01 - mmengine - INFO - Epoch(train) [62][1320/1879] lr: 1.0000e-02 eta: 1 day, 4:51:07 time: 0.2852 data_time: 0.0253 memory: 8198 grad_norm: 5.3819 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8923 loss: 1.8923 2022/08/02 23:38:06 - mmengine - INFO - Epoch(train) [62][1340/1879] lr: 1.0000e-02 eta: 1 day, 4:51:01 time: 0.2830 data_time: 0.0266 memory: 8198 grad_norm: 5.2090 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5728 loss: 1.5728 2022/08/02 23:38:12 - mmengine - INFO - Epoch(train) [62][1360/1879] lr: 1.0000e-02 eta: 1 day, 4:50:55 time: 0.2833 data_time: 0.0196 memory: 8198 grad_norm: 5.1406 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7001 loss: 1.7001 2022/08/02 23:38:18 - mmengine - INFO - Epoch(train) [62][1380/1879] lr: 1.0000e-02 eta: 1 day, 4:50:50 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 5.1024 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7559 loss: 1.7559 2022/08/02 23:38:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:38:23 - mmengine - INFO - Epoch(train) [62][1400/1879] lr: 1.0000e-02 eta: 1 day, 4:50:44 time: 0.2850 data_time: 0.0257 memory: 8198 grad_norm: 5.1261 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6542 loss: 1.6542 2022/08/02 23:38:29 - mmengine - INFO - Epoch(train) [62][1420/1879] lr: 1.0000e-02 eta: 1 day, 4:50:38 time: 0.2832 data_time: 0.0217 memory: 8198 grad_norm: 5.2001 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7792 loss: 1.7792 2022/08/02 23:38:35 - mmengine - INFO - Epoch(train) [62][1440/1879] lr: 1.0000e-02 eta: 1 day, 4:50:32 time: 0.2817 data_time: 0.0222 memory: 8198 grad_norm: 5.0817 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7179 loss: 1.7179 2022/08/02 23:38:40 - mmengine - INFO - Epoch(train) [62][1460/1879] lr: 1.0000e-02 eta: 1 day, 4:50:27 time: 0.2845 data_time: 0.0289 memory: 8198 grad_norm: 4.9399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4338 loss: 1.4338 2022/08/02 23:38:46 - mmengine - INFO - Epoch(train) [62][1480/1879] lr: 1.0000e-02 eta: 1 day, 4:50:21 time: 0.2803 data_time: 0.0213 memory: 8198 grad_norm: 5.1554 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6342 loss: 1.6342 2022/08/02 23:38:52 - mmengine - INFO - Epoch(train) [62][1500/1879] lr: 1.0000e-02 eta: 1 day, 4:50:15 time: 0.2853 data_time: 0.0273 memory: 8198 grad_norm: 4.9972 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6772 loss: 1.6772 2022/08/02 23:38:57 - mmengine - INFO - Epoch(train) [62][1520/1879] lr: 1.0000e-02 eta: 1 day, 4:50:09 time: 0.2843 data_time: 0.0236 memory: 8198 grad_norm: 5.1797 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7419 loss: 1.7419 2022/08/02 23:39:03 - mmengine - INFO - Epoch(train) [62][1540/1879] lr: 1.0000e-02 eta: 1 day, 4:50:04 time: 0.2852 data_time: 0.0248 memory: 8198 grad_norm: 5.1884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5619 loss: 1.5619 2022/08/02 23:39:09 - mmengine - INFO - Epoch(train) [62][1560/1879] lr: 1.0000e-02 eta: 1 day, 4:49:58 time: 0.2798 data_time: 0.0180 memory: 8198 grad_norm: 5.1346 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7359 loss: 1.7359 2022/08/02 23:39:14 - mmengine - INFO - Epoch(train) [62][1580/1879] lr: 1.0000e-02 eta: 1 day, 4:49:52 time: 0.2882 data_time: 0.0298 memory: 8198 grad_norm: 5.3327 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9240 loss: 1.9240 2022/08/02 23:39:20 - mmengine - INFO - Epoch(train) [62][1600/1879] lr: 1.0000e-02 eta: 1 day, 4:49:47 time: 0.2863 data_time: 0.0253 memory: 8198 grad_norm: 5.2436 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6939 loss: 1.6939 2022/08/02 23:39:26 - mmengine - INFO - Epoch(train) [62][1620/1879] lr: 1.0000e-02 eta: 1 day, 4:49:41 time: 0.2816 data_time: 0.0227 memory: 8198 grad_norm: 5.3404 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6977 loss: 1.6977 2022/08/02 23:39:32 - mmengine - INFO - Epoch(train) [62][1640/1879] lr: 1.0000e-02 eta: 1 day, 4:49:35 time: 0.2849 data_time: 0.0227 memory: 8198 grad_norm: 5.2482 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8427 loss: 1.8427 2022/08/02 23:39:37 - mmengine - INFO - Epoch(train) [62][1660/1879] lr: 1.0000e-02 eta: 1 day, 4:49:30 time: 0.2870 data_time: 0.0241 memory: 8198 grad_norm: 5.2884 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5611 loss: 1.5611 2022/08/02 23:39:43 - mmengine - INFO - Epoch(train) [62][1680/1879] lr: 1.0000e-02 eta: 1 day, 4:49:24 time: 0.2836 data_time: 0.0215 memory: 8198 grad_norm: 5.1999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6230 loss: 1.6230 2022/08/02 23:39:49 - mmengine - INFO - Epoch(train) [62][1700/1879] lr: 1.0000e-02 eta: 1 day, 4:49:19 time: 0.2968 data_time: 0.0230 memory: 8198 grad_norm: 5.0997 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4882 loss: 1.4882 2022/08/02 23:39:55 - mmengine - INFO - Epoch(train) [62][1720/1879] lr: 1.0000e-02 eta: 1 day, 4:49:13 time: 0.2786 data_time: 0.0198 memory: 8198 grad_norm: 5.2958 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8843 loss: 1.8843 2022/08/02 23:40:00 - mmengine - INFO - Epoch(train) [62][1740/1879] lr: 1.0000e-02 eta: 1 day, 4:49:07 time: 0.2809 data_time: 0.0257 memory: 8198 grad_norm: 5.0698 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6996 loss: 1.6996 2022/08/02 23:40:06 - mmengine - INFO - Epoch(train) [62][1760/1879] lr: 1.0000e-02 eta: 1 day, 4:49:02 time: 0.2871 data_time: 0.0267 memory: 8198 grad_norm: 5.1655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5482 loss: 1.5482 2022/08/02 23:40:12 - mmengine - INFO - Epoch(train) [62][1780/1879] lr: 1.0000e-02 eta: 1 day, 4:48:56 time: 0.2846 data_time: 0.0229 memory: 8198 grad_norm: 5.1150 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8047 loss: 1.8047 2022/08/02 23:40:17 - mmengine - INFO - Epoch(train) [62][1800/1879] lr: 1.0000e-02 eta: 1 day, 4:48:50 time: 0.2850 data_time: 0.0252 memory: 8198 grad_norm: 5.2176 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8435 loss: 1.8435 2022/08/02 23:40:23 - mmengine - INFO - Epoch(train) [62][1820/1879] lr: 1.0000e-02 eta: 1 day, 4:48:44 time: 0.2831 data_time: 0.0247 memory: 8198 grad_norm: 5.2442 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7860 loss: 1.7860 2022/08/02 23:40:29 - mmengine - INFO - Epoch(train) [62][1840/1879] lr: 1.0000e-02 eta: 1 day, 4:48:39 time: 0.2854 data_time: 0.0216 memory: 8198 grad_norm: 5.1874 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5763 loss: 1.5763 2022/08/02 23:40:34 - mmengine - INFO - Epoch(train) [62][1860/1879] lr: 1.0000e-02 eta: 1 day, 4:48:33 time: 0.2834 data_time: 0.0230 memory: 8198 grad_norm: 5.1399 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7792 loss: 1.7792 2022/08/02 23:40:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:40:39 - mmengine - INFO - Epoch(train) [62][1879/1879] lr: 1.0000e-02 eta: 1 day, 4:48:33 time: 0.2539 data_time: 0.0155 memory: 8198 grad_norm: 5.3032 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8468 loss: 1.8468 2022/08/02 23:40:47 - mmengine - INFO - Epoch(train) [63][20/1879] lr: 1.0000e-02 eta: 1 day, 4:48:13 time: 0.4102 data_time: 0.1096 memory: 8198 grad_norm: 5.0819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9406 loss: 1.9406 2022/08/02 23:40:53 - mmengine - INFO - Epoch(train) [63][40/1879] lr: 1.0000e-02 eta: 1 day, 4:48:07 time: 0.2846 data_time: 0.0231 memory: 8198 grad_norm: 5.1125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4699 loss: 1.4699 2022/08/02 23:40:59 - mmengine - INFO - Epoch(train) [63][60/1879] lr: 1.0000e-02 eta: 1 day, 4:48:02 time: 0.2857 data_time: 0.0276 memory: 8198 grad_norm: 4.9837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5061 loss: 1.5061 2022/08/02 23:41:05 - mmengine - INFO - Epoch(train) [63][80/1879] lr: 1.0000e-02 eta: 1 day, 4:47:56 time: 0.2825 data_time: 0.0226 memory: 8198 grad_norm: 5.2655 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7313 loss: 1.7313 2022/08/02 23:41:10 - mmengine - INFO - Epoch(train) [63][100/1879] lr: 1.0000e-02 eta: 1 day, 4:47:50 time: 0.2852 data_time: 0.0218 memory: 8198 grad_norm: 5.3014 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7038 loss: 1.7038 2022/08/02 23:41:16 - mmengine - INFO - Epoch(train) [63][120/1879] lr: 1.0000e-02 eta: 1 day, 4:47:44 time: 0.2849 data_time: 0.0247 memory: 8198 grad_norm: 5.1164 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8740 loss: 1.8740 2022/08/02 23:41:22 - mmengine - INFO - Epoch(train) [63][140/1879] lr: 1.0000e-02 eta: 1 day, 4:47:39 time: 0.2954 data_time: 0.0208 memory: 8198 grad_norm: 5.1717 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6441 loss: 1.6441 2022/08/02 23:41:28 - mmengine - INFO - Epoch(train) [63][160/1879] lr: 1.0000e-02 eta: 1 day, 4:47:34 time: 0.2839 data_time: 0.0230 memory: 8198 grad_norm: 5.1959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6471 loss: 1.6471 2022/08/02 23:41:33 - mmengine - INFO - Epoch(train) [63][180/1879] lr: 1.0000e-02 eta: 1 day, 4:47:28 time: 0.2836 data_time: 0.0186 memory: 8198 grad_norm: 5.1968 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4808 loss: 1.4808 2022/08/02 23:41:39 - mmengine - INFO - Epoch(train) [63][200/1879] lr: 1.0000e-02 eta: 1 day, 4:47:23 time: 0.2933 data_time: 0.0204 memory: 8198 grad_norm: 5.0930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5104 loss: 1.5104 2022/08/02 23:41:45 - mmengine - INFO - Epoch(train) [63][220/1879] lr: 1.0000e-02 eta: 1 day, 4:47:17 time: 0.2814 data_time: 0.0212 memory: 8198 grad_norm: 5.2148 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8521 loss: 1.8521 2022/08/02 23:41:50 - mmengine - INFO - Epoch(train) [63][240/1879] lr: 1.0000e-02 eta: 1 day, 4:47:11 time: 0.2805 data_time: 0.0239 memory: 8198 grad_norm: 5.1857 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6643 loss: 1.6643 2022/08/02 23:41:56 - mmengine - INFO - Epoch(train) [63][260/1879] lr: 1.0000e-02 eta: 1 day, 4:47:05 time: 0.2832 data_time: 0.0188 memory: 8198 grad_norm: 5.2977 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6078 loss: 1.6078 2022/08/02 23:42:02 - mmengine - INFO - Epoch(train) [63][280/1879] lr: 1.0000e-02 eta: 1 day, 4:47:00 time: 0.2900 data_time: 0.0179 memory: 8198 grad_norm: 5.1964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6136 loss: 1.6136 2022/08/02 23:42:08 - mmengine - INFO - Epoch(train) [63][300/1879] lr: 1.0000e-02 eta: 1 day, 4:46:54 time: 0.2779 data_time: 0.0208 memory: 8198 grad_norm: 5.3149 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5690 loss: 1.5690 2022/08/02 23:42:13 - mmengine - INFO - Epoch(train) [63][320/1879] lr: 1.0000e-02 eta: 1 day, 4:46:48 time: 0.2811 data_time: 0.0263 memory: 8198 grad_norm: 5.2114 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7936 loss: 1.7936 2022/08/02 23:42:19 - mmengine - INFO - Epoch(train) [63][340/1879] lr: 1.0000e-02 eta: 1 day, 4:46:42 time: 0.2857 data_time: 0.0273 memory: 8198 grad_norm: 5.2060 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6813 loss: 1.6813 2022/08/02 23:42:24 - mmengine - INFO - Epoch(train) [63][360/1879] lr: 1.0000e-02 eta: 1 day, 4:46:36 time: 0.2797 data_time: 0.0200 memory: 8198 grad_norm: 5.1517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7222 loss: 1.7222 2022/08/02 23:42:30 - mmengine - INFO - Epoch(train) [63][380/1879] lr: 1.0000e-02 eta: 1 day, 4:46:31 time: 0.2835 data_time: 0.0245 memory: 8198 grad_norm: 5.0084 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7974 loss: 1.7974 2022/08/02 23:42:36 - mmengine - INFO - Epoch(train) [63][400/1879] lr: 1.0000e-02 eta: 1 day, 4:46:25 time: 0.2834 data_time: 0.0225 memory: 8198 grad_norm: 5.0794 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7774 loss: 1.7774 2022/08/02 23:42:42 - mmengine - INFO - Epoch(train) [63][420/1879] lr: 1.0000e-02 eta: 1 day, 4:46:20 time: 0.2935 data_time: 0.0293 memory: 8198 grad_norm: 5.2531 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7686 loss: 1.7686 2022/08/02 23:42:47 - mmengine - INFO - Epoch(train) [63][440/1879] lr: 1.0000e-02 eta: 1 day, 4:46:14 time: 0.2820 data_time: 0.0212 memory: 8198 grad_norm: 5.2734 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6313 loss: 1.6313 2022/08/02 23:42:53 - mmengine - INFO - Epoch(train) [63][460/1879] lr: 1.0000e-02 eta: 1 day, 4:46:08 time: 0.2809 data_time: 0.0212 memory: 8198 grad_norm: 5.1439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6058 loss: 1.6058 2022/08/02 23:42:59 - mmengine - INFO - Epoch(train) [63][480/1879] lr: 1.0000e-02 eta: 1 day, 4:46:03 time: 0.2897 data_time: 0.0242 memory: 8198 grad_norm: 5.2484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5343 loss: 1.5343 2022/08/02 23:43:04 - mmengine - INFO - Epoch(train) [63][500/1879] lr: 1.0000e-02 eta: 1 day, 4:45:57 time: 0.2816 data_time: 0.0247 memory: 8198 grad_norm: 5.2863 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5901 loss: 1.5901 2022/08/02 23:43:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:43:10 - mmengine - INFO - Epoch(train) [63][520/1879] lr: 1.0000e-02 eta: 1 day, 4:45:51 time: 0.2895 data_time: 0.0216 memory: 8198 grad_norm: 5.1932 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6029 loss: 1.6029 2022/08/02 23:43:16 - mmengine - INFO - Epoch(train) [63][540/1879] lr: 1.0000e-02 eta: 1 day, 4:45:46 time: 0.2836 data_time: 0.0206 memory: 8198 grad_norm: 5.2284 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6731 loss: 1.6731 2022/08/02 23:43:22 - mmengine - INFO - Epoch(train) [63][560/1879] lr: 1.0000e-02 eta: 1 day, 4:45:40 time: 0.2841 data_time: 0.0240 memory: 8198 grad_norm: 5.2350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7338 loss: 1.7338 2022/08/02 23:43:28 - mmengine - INFO - Epoch(train) [63][580/1879] lr: 1.0000e-02 eta: 1 day, 4:45:35 time: 0.2953 data_time: 0.0255 memory: 8198 grad_norm: 5.1927 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5380 loss: 1.5380 2022/08/02 23:43:33 - mmengine - INFO - Epoch(train) [63][600/1879] lr: 1.0000e-02 eta: 1 day, 4:45:29 time: 0.2783 data_time: 0.0200 memory: 8198 grad_norm: 5.2152 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7014 loss: 1.7014 2022/08/02 23:43:39 - mmengine - INFO - Epoch(train) [63][620/1879] lr: 1.0000e-02 eta: 1 day, 4:45:23 time: 0.2827 data_time: 0.0221 memory: 8198 grad_norm: 5.2513 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7296 loss: 1.7296 2022/08/02 23:43:44 - mmengine - INFO - Epoch(train) [63][640/1879] lr: 1.0000e-02 eta: 1 day, 4:45:17 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 5.2993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6643 loss: 1.6643 2022/08/02 23:43:50 - mmengine - INFO - Epoch(train) [63][660/1879] lr: 1.0000e-02 eta: 1 day, 4:45:12 time: 0.2872 data_time: 0.0236 memory: 8198 grad_norm: 5.3208 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6791 loss: 1.6791 2022/08/02 23:43:56 - mmengine - INFO - Epoch(train) [63][680/1879] lr: 1.0000e-02 eta: 1 day, 4:45:06 time: 0.2792 data_time: 0.0195 memory: 8198 grad_norm: 5.1279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6935 loss: 1.6935 2022/08/02 23:44:02 - mmengine - INFO - Epoch(train) [63][700/1879] lr: 1.0000e-02 eta: 1 day, 4:45:00 time: 0.2875 data_time: 0.0221 memory: 8198 grad_norm: 4.9994 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6079 loss: 1.6079 2022/08/02 23:44:07 - mmengine - INFO - Epoch(train) [63][720/1879] lr: 1.0000e-02 eta: 1 day, 4:44:55 time: 0.2891 data_time: 0.0300 memory: 8198 grad_norm: 5.1061 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7205 loss: 1.7205 2022/08/02 23:44:13 - mmengine - INFO - Epoch(train) [63][740/1879] lr: 1.0000e-02 eta: 1 day, 4:44:49 time: 0.2817 data_time: 0.0170 memory: 8198 grad_norm: 5.0880 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6896 loss: 1.6896 2022/08/02 23:44:19 - mmengine - INFO - Epoch(train) [63][760/1879] lr: 1.0000e-02 eta: 1 day, 4:44:43 time: 0.2814 data_time: 0.0220 memory: 8198 grad_norm: 5.0980 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6331 loss: 1.6331 2022/08/02 23:44:24 - mmengine - INFO - Epoch(train) [63][780/1879] lr: 1.0000e-02 eta: 1 day, 4:44:38 time: 0.2869 data_time: 0.0213 memory: 8198 grad_norm: 5.3010 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5410 loss: 1.5410 2022/08/02 23:44:30 - mmengine - INFO - Epoch(train) [63][800/1879] lr: 1.0000e-02 eta: 1 day, 4:44:32 time: 0.2828 data_time: 0.0238 memory: 8198 grad_norm: 5.1914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6081 loss: 1.6081 2022/08/02 23:44:36 - mmengine - INFO - Epoch(train) [63][820/1879] lr: 1.0000e-02 eta: 1 day, 4:44:26 time: 0.2809 data_time: 0.0202 memory: 8198 grad_norm: 5.2025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6206 loss: 1.6206 2022/08/02 23:44:41 - mmengine - INFO - Epoch(train) [63][840/1879] lr: 1.0000e-02 eta: 1 day, 4:44:20 time: 0.2868 data_time: 0.0240 memory: 8198 grad_norm: 5.1780 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7046 loss: 1.7046 2022/08/02 23:44:47 - mmengine - INFO - Epoch(train) [63][860/1879] lr: 1.0000e-02 eta: 1 day, 4:44:15 time: 0.2854 data_time: 0.0286 memory: 8198 grad_norm: 5.1504 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/08/02 23:44:53 - mmengine - INFO - Epoch(train) [63][880/1879] lr: 1.0000e-02 eta: 1 day, 4:44:09 time: 0.2798 data_time: 0.0215 memory: 8198 grad_norm: 5.1637 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6312 loss: 1.6312 2022/08/02 23:44:58 - mmengine - INFO - Epoch(train) [63][900/1879] lr: 1.0000e-02 eta: 1 day, 4:44:03 time: 0.2814 data_time: 0.0241 memory: 8198 grad_norm: 5.0977 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6904 loss: 1.6904 2022/08/02 23:45:04 - mmengine - INFO - Epoch(train) [63][920/1879] lr: 1.0000e-02 eta: 1 day, 4:43:57 time: 0.2842 data_time: 0.0223 memory: 8198 grad_norm: 5.0643 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4477 loss: 1.4477 2022/08/02 23:45:10 - mmengine - INFO - Epoch(train) [63][940/1879] lr: 1.0000e-02 eta: 1 day, 4:43:51 time: 0.2856 data_time: 0.0248 memory: 8198 grad_norm: 5.1685 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8761 loss: 1.8761 2022/08/02 23:45:15 - mmengine - INFO - Epoch(train) [63][960/1879] lr: 1.0000e-02 eta: 1 day, 4:43:46 time: 0.2800 data_time: 0.0248 memory: 8198 grad_norm: 5.0419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5962 loss: 1.5962 2022/08/02 23:45:21 - mmengine - INFO - Epoch(train) [63][980/1879] lr: 1.0000e-02 eta: 1 day, 4:43:40 time: 0.2883 data_time: 0.0296 memory: 8198 grad_norm: 5.4399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5197 loss: 1.5197 2022/08/02 23:45:27 - mmengine - INFO - Epoch(train) [63][1000/1879] lr: 1.0000e-02 eta: 1 day, 4:43:35 time: 0.2904 data_time: 0.0249 memory: 8198 grad_norm: 5.2726 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6865 loss: 1.6865 2022/08/02 23:45:33 - mmengine - INFO - Epoch(train) [63][1020/1879] lr: 1.0000e-02 eta: 1 day, 4:43:29 time: 0.2807 data_time: 0.0245 memory: 8198 grad_norm: 5.2487 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5979 loss: 1.5979 2022/08/02 23:45:38 - mmengine - INFO - Epoch(train) [63][1040/1879] lr: 1.0000e-02 eta: 1 day, 4:43:23 time: 0.2870 data_time: 0.0231 memory: 8198 grad_norm: 5.0572 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6287 loss: 1.6287 2022/08/02 23:45:44 - mmengine - INFO - Epoch(train) [63][1060/1879] lr: 1.0000e-02 eta: 1 day, 4:43:17 time: 0.2825 data_time: 0.0287 memory: 8198 grad_norm: 5.2144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6107 loss: 1.6107 2022/08/02 23:45:50 - mmengine - INFO - Epoch(train) [63][1080/1879] lr: 1.0000e-02 eta: 1 day, 4:43:12 time: 0.2850 data_time: 0.0211 memory: 8198 grad_norm: 5.1995 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7598 loss: 1.7598 2022/08/02 23:45:56 - mmengine - INFO - Epoch(train) [63][1100/1879] lr: 1.0000e-02 eta: 1 day, 4:43:06 time: 0.2855 data_time: 0.0251 memory: 8198 grad_norm: 5.2723 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8266 loss: 1.8266 2022/08/02 23:46:01 - mmengine - INFO - Epoch(train) [63][1120/1879] lr: 1.0000e-02 eta: 1 day, 4:43:01 time: 0.2876 data_time: 0.0231 memory: 8198 grad_norm: 5.1810 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6975 loss: 1.6975 2022/08/02 23:46:07 - mmengine - INFO - Epoch(train) [63][1140/1879] lr: 1.0000e-02 eta: 1 day, 4:42:55 time: 0.2889 data_time: 0.0271 memory: 8198 grad_norm: 5.3065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8522 loss: 1.8522 2022/08/02 23:46:13 - mmengine - INFO - Epoch(train) [63][1160/1879] lr: 1.0000e-02 eta: 1 day, 4:42:49 time: 0.2805 data_time: 0.0224 memory: 8198 grad_norm: 5.2693 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8297 loss: 1.8297 2022/08/02 23:46:18 - mmengine - INFO - Epoch(train) [63][1180/1879] lr: 1.0000e-02 eta: 1 day, 4:42:44 time: 0.2829 data_time: 0.0206 memory: 8198 grad_norm: 5.1885 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9718 loss: 1.9718 2022/08/02 23:46:24 - mmengine - INFO - Epoch(train) [63][1200/1879] lr: 1.0000e-02 eta: 1 day, 4:42:38 time: 0.2827 data_time: 0.0200 memory: 8198 grad_norm: 5.0954 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3583 loss: 1.3583 2022/08/02 23:46:30 - mmengine - INFO - Epoch(train) [63][1220/1879] lr: 1.0000e-02 eta: 1 day, 4:42:32 time: 0.2871 data_time: 0.0260 memory: 8198 grad_norm: 5.4066 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6812 loss: 1.6812 2022/08/02 23:46:35 - mmengine - INFO - Epoch(train) [63][1240/1879] lr: 1.0000e-02 eta: 1 day, 4:42:26 time: 0.2818 data_time: 0.0221 memory: 8198 grad_norm: 5.3809 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8383 loss: 1.8383 2022/08/02 23:46:41 - mmengine - INFO - Epoch(train) [63][1260/1879] lr: 1.0000e-02 eta: 1 day, 4:42:21 time: 0.2854 data_time: 0.0276 memory: 8198 grad_norm: 5.1373 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7431 loss: 1.7431 2022/08/02 23:46:47 - mmengine - INFO - Epoch(train) [63][1280/1879] lr: 1.0000e-02 eta: 1 day, 4:42:16 time: 0.2923 data_time: 0.0352 memory: 8198 grad_norm: 5.2672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7670 loss: 1.7670 2022/08/02 23:46:53 - mmengine - INFO - Epoch(train) [63][1300/1879] lr: 1.0000e-02 eta: 1 day, 4:42:09 time: 0.2776 data_time: 0.0262 memory: 8198 grad_norm: 5.1352 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7423 loss: 1.7423 2022/08/02 23:46:58 - mmengine - INFO - Epoch(train) [63][1320/1879] lr: 1.0000e-02 eta: 1 day, 4:42:04 time: 0.2828 data_time: 0.0220 memory: 8198 grad_norm: 5.2118 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8225 loss: 1.8225 2022/08/02 23:47:04 - mmengine - INFO - Epoch(train) [63][1340/1879] lr: 1.0000e-02 eta: 1 day, 4:41:58 time: 0.2885 data_time: 0.0309 memory: 8198 grad_norm: 5.2184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8401 loss: 1.8401 2022/08/02 23:47:10 - mmengine - INFO - Epoch(train) [63][1360/1879] lr: 1.0000e-02 eta: 1 day, 4:41:52 time: 0.2826 data_time: 0.0297 memory: 8198 grad_norm: 5.2591 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5923 loss: 1.5923 2022/08/02 23:47:15 - mmengine - INFO - Epoch(train) [63][1380/1879] lr: 1.0000e-02 eta: 1 day, 4:41:47 time: 0.2865 data_time: 0.0234 memory: 8198 grad_norm: 5.1042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6544 loss: 1.6544 2022/08/02 23:47:21 - mmengine - INFO - Epoch(train) [63][1400/1879] lr: 1.0000e-02 eta: 1 day, 4:41:41 time: 0.2826 data_time: 0.0227 memory: 8198 grad_norm: 5.0805 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7532 loss: 1.7532 2022/08/02 23:47:27 - mmengine - INFO - Epoch(train) [63][1420/1879] lr: 1.0000e-02 eta: 1 day, 4:41:36 time: 0.2879 data_time: 0.0193 memory: 8198 grad_norm: 5.2604 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8294 loss: 1.8294 2022/08/02 23:47:33 - mmengine - INFO - Epoch(train) [63][1440/1879] lr: 1.0000e-02 eta: 1 day, 4:41:30 time: 0.2828 data_time: 0.0235 memory: 8198 grad_norm: 5.2454 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/08/02 23:47:38 - mmengine - INFO - Epoch(train) [63][1460/1879] lr: 1.0000e-02 eta: 1 day, 4:41:24 time: 0.2869 data_time: 0.0211 memory: 8198 grad_norm: 5.0613 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6336 loss: 1.6336 2022/08/02 23:47:44 - mmengine - INFO - Epoch(train) [63][1480/1879] lr: 1.0000e-02 eta: 1 day, 4:41:18 time: 0.2821 data_time: 0.0205 memory: 8198 grad_norm: 5.1570 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5549 loss: 1.5549 2022/08/02 23:47:50 - mmengine - INFO - Epoch(train) [63][1500/1879] lr: 1.0000e-02 eta: 1 day, 4:41:13 time: 0.2878 data_time: 0.0287 memory: 8198 grad_norm: 5.2281 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7867 loss: 1.7867 2022/08/02 23:47:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:47:55 - mmengine - INFO - Epoch(train) [63][1520/1879] lr: 1.0000e-02 eta: 1 day, 4:41:07 time: 0.2808 data_time: 0.0237 memory: 8198 grad_norm: 5.0495 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8529 loss: 1.8529 2022/08/02 23:48:01 - mmengine - INFO - Epoch(train) [63][1540/1879] lr: 1.0000e-02 eta: 1 day, 4:41:01 time: 0.2867 data_time: 0.0219 memory: 8198 grad_norm: 5.1785 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7197 loss: 1.7197 2022/08/02 23:48:07 - mmengine - INFO - Epoch(train) [63][1560/1879] lr: 1.0000e-02 eta: 1 day, 4:40:56 time: 0.2951 data_time: 0.0265 memory: 8198 grad_norm: 5.1259 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.7585 loss: 1.7585 2022/08/02 23:48:13 - mmengine - INFO - Epoch(train) [63][1580/1879] lr: 1.0000e-02 eta: 1 day, 4:40:50 time: 0.2798 data_time: 0.0200 memory: 8198 grad_norm: 5.2707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8199 loss: 1.8199 2022/08/02 23:48:18 - mmengine - INFO - Epoch(train) [63][1600/1879] lr: 1.0000e-02 eta: 1 day, 4:40:45 time: 0.2853 data_time: 0.0191 memory: 8198 grad_norm: 5.3291 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8993 loss: 1.8993 2022/08/02 23:48:24 - mmengine - INFO - Epoch(train) [63][1620/1879] lr: 1.0000e-02 eta: 1 day, 4:40:39 time: 0.2849 data_time: 0.0232 memory: 8198 grad_norm: 5.2138 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9046 loss: 1.9046 2022/08/02 23:48:30 - mmengine - INFO - Epoch(train) [63][1640/1879] lr: 1.0000e-02 eta: 1 day, 4:40:33 time: 0.2802 data_time: 0.0253 memory: 8198 grad_norm: 5.2317 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7014 loss: 1.7014 2022/08/02 23:48:35 - mmengine - INFO - Epoch(train) [63][1660/1879] lr: 1.0000e-02 eta: 1 day, 4:40:27 time: 0.2849 data_time: 0.0234 memory: 8198 grad_norm: 5.2183 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7501 loss: 1.7501 2022/08/02 23:48:41 - mmengine - INFO - Epoch(train) [63][1680/1879] lr: 1.0000e-02 eta: 1 day, 4:40:22 time: 0.2885 data_time: 0.0251 memory: 8198 grad_norm: 5.3599 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6829 loss: 1.6829 2022/08/02 23:48:47 - mmengine - INFO - Epoch(train) [63][1700/1879] lr: 1.0000e-02 eta: 1 day, 4:40:16 time: 0.2817 data_time: 0.0242 memory: 8198 grad_norm: 5.2027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7707 loss: 1.7707 2022/08/02 23:48:52 - mmengine - INFO - Epoch(train) [63][1720/1879] lr: 1.0000e-02 eta: 1 day, 4:40:10 time: 0.2829 data_time: 0.0244 memory: 8198 grad_norm: 5.1702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8150 loss: 1.8150 2022/08/02 23:48:58 - mmengine - INFO - Epoch(train) [63][1740/1879] lr: 1.0000e-02 eta: 1 day, 4:40:05 time: 0.2854 data_time: 0.0270 memory: 8198 grad_norm: 5.1918 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7488 loss: 1.7488 2022/08/02 23:49:04 - mmengine - INFO - Epoch(train) [63][1760/1879] lr: 1.0000e-02 eta: 1 day, 4:39:59 time: 0.2867 data_time: 0.0216 memory: 8198 grad_norm: 5.1938 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6684 loss: 1.6684 2022/08/02 23:49:10 - mmengine - INFO - Epoch(train) [63][1780/1879] lr: 1.0000e-02 eta: 1 day, 4:39:53 time: 0.2831 data_time: 0.0234 memory: 8198 grad_norm: 5.1667 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7978 loss: 1.7978 2022/08/02 23:49:15 - mmengine - INFO - Epoch(train) [63][1800/1879] lr: 1.0000e-02 eta: 1 day, 4:39:48 time: 0.2857 data_time: 0.0234 memory: 8198 grad_norm: 5.2176 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7584 loss: 1.7584 2022/08/02 23:49:21 - mmengine - INFO - Epoch(train) [63][1820/1879] lr: 1.0000e-02 eta: 1 day, 4:39:43 time: 0.2963 data_time: 0.0257 memory: 8198 grad_norm: 5.2527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6412 loss: 1.6412 2022/08/02 23:49:27 - mmengine - INFO - Epoch(train) [63][1840/1879] lr: 1.0000e-02 eta: 1 day, 4:39:37 time: 0.2827 data_time: 0.0197 memory: 8198 grad_norm: 5.2497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6762 loss: 1.6762 2022/08/02 23:49:33 - mmengine - INFO - Epoch(train) [63][1860/1879] lr: 1.0000e-02 eta: 1 day, 4:39:31 time: 0.2848 data_time: 0.0244 memory: 8198 grad_norm: 5.1823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7390 loss: 1.7390 2022/08/02 23:49:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:49:38 - mmengine - INFO - Epoch(train) [63][1879/1879] lr: 1.0000e-02 eta: 1 day, 4:39:31 time: 0.2554 data_time: 0.0161 memory: 8198 grad_norm: 5.3019 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.7143 loss: 1.7143 2022/08/02 23:49:46 - mmengine - INFO - Epoch(train) [64][20/1879] lr: 1.0000e-02 eta: 1 day, 4:39:12 time: 0.4114 data_time: 0.1422 memory: 8198 grad_norm: 5.1213 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5581 loss: 1.5581 2022/08/02 23:49:52 - mmengine - INFO - Epoch(train) [64][40/1879] lr: 1.0000e-02 eta: 1 day, 4:39:07 time: 0.3033 data_time: 0.0265 memory: 8198 grad_norm: 5.0651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5418 loss: 1.5418 2022/08/02 23:49:58 - mmengine - INFO - Epoch(train) [64][60/1879] lr: 1.0000e-02 eta: 1 day, 4:39:01 time: 0.2860 data_time: 0.0202 memory: 8198 grad_norm: 5.2067 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6987 loss: 1.6987 2022/08/02 23:50:03 - mmengine - INFO - Epoch(train) [64][80/1879] lr: 1.0000e-02 eta: 1 day, 4:38:56 time: 0.2850 data_time: 0.0259 memory: 8198 grad_norm: 5.1250 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6443 loss: 1.6443 2022/08/02 23:50:09 - mmengine - INFO - Epoch(train) [64][100/1879] lr: 1.0000e-02 eta: 1 day, 4:38:50 time: 0.2813 data_time: 0.0214 memory: 8198 grad_norm: 5.1404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7196 loss: 1.7196 2022/08/02 23:50:15 - mmengine - INFO - Epoch(train) [64][120/1879] lr: 1.0000e-02 eta: 1 day, 4:38:44 time: 0.2835 data_time: 0.0242 memory: 8198 grad_norm: 5.1591 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6514 loss: 1.6514 2022/08/02 23:50:20 - mmengine - INFO - Epoch(train) [64][140/1879] lr: 1.0000e-02 eta: 1 day, 4:38:38 time: 0.2825 data_time: 0.0222 memory: 8198 grad_norm: 5.2254 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6647 loss: 1.6647 2022/08/02 23:50:26 - mmengine - INFO - Epoch(train) [64][160/1879] lr: 1.0000e-02 eta: 1 day, 4:38:33 time: 0.2835 data_time: 0.0193 memory: 8198 grad_norm: 5.2174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7200 loss: 1.7200 2022/08/02 23:50:32 - mmengine - INFO - Epoch(train) [64][180/1879] lr: 1.0000e-02 eta: 1 day, 4:38:27 time: 0.2935 data_time: 0.0239 memory: 8198 grad_norm: 5.1902 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7043 loss: 1.7043 2022/08/02 23:50:38 - mmengine - INFO - Epoch(train) [64][200/1879] lr: 1.0000e-02 eta: 1 day, 4:38:22 time: 0.2857 data_time: 0.0248 memory: 8198 grad_norm: 5.1780 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5867 loss: 1.5867 2022/08/02 23:50:43 - mmengine - INFO - Epoch(train) [64][220/1879] lr: 1.0000e-02 eta: 1 day, 4:38:16 time: 0.2823 data_time: 0.0262 memory: 8198 grad_norm: 5.0925 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8533 loss: 1.8533 2022/08/02 23:50:49 - mmengine - INFO - Epoch(train) [64][240/1879] lr: 1.0000e-02 eta: 1 day, 4:38:10 time: 0.2814 data_time: 0.0228 memory: 8198 grad_norm: 5.1959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6665 loss: 1.6665 2022/08/02 23:50:55 - mmengine - INFO - Epoch(train) [64][260/1879] lr: 1.0000e-02 eta: 1 day, 4:38:04 time: 0.2844 data_time: 0.0209 memory: 8198 grad_norm: 5.1244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5775 loss: 1.5775 2022/08/02 23:51:00 - mmengine - INFO - Epoch(train) [64][280/1879] lr: 1.0000e-02 eta: 1 day, 4:37:59 time: 0.2884 data_time: 0.0218 memory: 8198 grad_norm: 5.2220 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6123 loss: 1.6123 2022/08/02 23:51:06 - mmengine - INFO - Epoch(train) [64][300/1879] lr: 1.0000e-02 eta: 1 day, 4:37:53 time: 0.2797 data_time: 0.0237 memory: 8198 grad_norm: 5.1209 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3878 loss: 1.3878 2022/08/02 23:51:12 - mmengine - INFO - Epoch(train) [64][320/1879] lr: 1.0000e-02 eta: 1 day, 4:37:47 time: 0.2880 data_time: 0.0207 memory: 8198 grad_norm: 5.2587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8058 loss: 1.8058 2022/08/02 23:51:18 - mmengine - INFO - Epoch(train) [64][340/1879] lr: 1.0000e-02 eta: 1 day, 4:37:42 time: 0.2894 data_time: 0.0236 memory: 8198 grad_norm: 5.0598 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5332 loss: 1.5332 2022/08/02 23:51:23 - mmengine - INFO - Epoch(train) [64][360/1879] lr: 1.0000e-02 eta: 1 day, 4:37:36 time: 0.2792 data_time: 0.0244 memory: 8198 grad_norm: 5.2405 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7571 loss: 1.7571 2022/08/02 23:51:29 - mmengine - INFO - Epoch(train) [64][380/1879] lr: 1.0000e-02 eta: 1 day, 4:37:30 time: 0.2822 data_time: 0.0232 memory: 8198 grad_norm: 5.1552 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7225 loss: 1.7225 2022/08/02 23:51:35 - mmengine - INFO - Epoch(train) [64][400/1879] lr: 1.0000e-02 eta: 1 day, 4:37:25 time: 0.2870 data_time: 0.0259 memory: 8198 grad_norm: 5.0626 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5079 loss: 1.5079 2022/08/02 23:51:40 - mmengine - INFO - Epoch(train) [64][420/1879] lr: 1.0000e-02 eta: 1 day, 4:37:19 time: 0.2877 data_time: 0.0236 memory: 8198 grad_norm: 5.0006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6560 loss: 1.6560 2022/08/02 23:51:46 - mmengine - INFO - Epoch(train) [64][440/1879] lr: 1.0000e-02 eta: 1 day, 4:37:13 time: 0.2827 data_time: 0.0247 memory: 8198 grad_norm: 5.2160 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8068 loss: 1.8068 2022/08/02 23:51:52 - mmengine - INFO - Epoch(train) [64][460/1879] lr: 1.0000e-02 eta: 1 day, 4:37:08 time: 0.2830 data_time: 0.0208 memory: 8198 grad_norm: 5.0785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6629 loss: 1.6629 2022/08/02 23:51:57 - mmengine - INFO - Epoch(train) [64][480/1879] lr: 1.0000e-02 eta: 1 day, 4:37:02 time: 0.2866 data_time: 0.0233 memory: 8198 grad_norm: 5.2616 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5991 loss: 1.5991 2022/08/02 23:52:03 - mmengine - INFO - Epoch(train) [64][500/1879] lr: 1.0000e-02 eta: 1 day, 4:36:57 time: 0.2938 data_time: 0.0357 memory: 8198 grad_norm: 5.2424 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7619 loss: 1.7619 2022/08/02 23:52:09 - mmengine - INFO - Epoch(train) [64][520/1879] lr: 1.0000e-02 eta: 1 day, 4:36:51 time: 0.2819 data_time: 0.0206 memory: 8198 grad_norm: 5.1883 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5883 loss: 1.5883 2022/08/02 23:52:15 - mmengine - INFO - Epoch(train) [64][540/1879] lr: 1.0000e-02 eta: 1 day, 4:36:45 time: 0.2842 data_time: 0.0217 memory: 8198 grad_norm: 5.1807 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8193 loss: 1.8193 2022/08/02 23:52:20 - mmengine - INFO - Epoch(train) [64][560/1879] lr: 1.0000e-02 eta: 1 day, 4:36:40 time: 0.2838 data_time: 0.0254 memory: 8198 grad_norm: 5.5179 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7903 loss: 1.7903 2022/08/02 23:52:26 - mmengine - INFO - Epoch(train) [64][580/1879] lr: 1.0000e-02 eta: 1 day, 4:36:34 time: 0.2814 data_time: 0.0173 memory: 8198 grad_norm: 5.0919 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7204 loss: 1.7204 2022/08/02 23:52:32 - mmengine - INFO - Epoch(train) [64][600/1879] lr: 1.0000e-02 eta: 1 day, 4:36:28 time: 0.2823 data_time: 0.0241 memory: 8198 grad_norm: 5.3574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5444 loss: 1.5444 2022/08/02 23:52:37 - mmengine - INFO - Epoch(train) [64][620/1879] lr: 1.0000e-02 eta: 1 day, 4:36:22 time: 0.2865 data_time: 0.0213 memory: 8198 grad_norm: 5.1406 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5419 loss: 1.5419 2022/08/02 23:52:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:52:43 - mmengine - INFO - Epoch(train) [64][640/1879] lr: 1.0000e-02 eta: 1 day, 4:36:17 time: 0.2815 data_time: 0.0199 memory: 8198 grad_norm: 5.1389 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6287 loss: 1.6287 2022/08/02 23:52:49 - mmengine - INFO - Epoch(train) [64][660/1879] lr: 1.0000e-02 eta: 1 day, 4:36:11 time: 0.2858 data_time: 0.0265 memory: 8198 grad_norm: 5.0770 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8406 loss: 1.8406 2022/08/02 23:52:54 - mmengine - INFO - Epoch(train) [64][680/1879] lr: 1.0000e-02 eta: 1 day, 4:36:05 time: 0.2828 data_time: 0.0238 memory: 8198 grad_norm: 5.0867 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4946 loss: 1.4946 2022/08/02 23:53:00 - mmengine - INFO - Epoch(train) [64][700/1879] lr: 1.0000e-02 eta: 1 day, 4:35:59 time: 0.2838 data_time: 0.0252 memory: 8198 grad_norm: 5.1219 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5636 loss: 1.5636 2022/08/02 23:53:06 - mmengine - INFO - Epoch(train) [64][720/1879] lr: 1.0000e-02 eta: 1 day, 4:35:53 time: 0.2803 data_time: 0.0219 memory: 8198 grad_norm: 5.4865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7748 loss: 1.7748 2022/08/02 23:53:12 - mmengine - INFO - Epoch(train) [64][740/1879] lr: 1.0000e-02 eta: 1 day, 4:35:48 time: 0.2942 data_time: 0.0227 memory: 8198 grad_norm: 5.2231 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6633 loss: 1.6633 2022/08/02 23:53:17 - mmengine - INFO - Epoch(train) [64][760/1879] lr: 1.0000e-02 eta: 1 day, 4:35:43 time: 0.2835 data_time: 0.0231 memory: 8198 grad_norm: 5.2375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6474 loss: 1.6474 2022/08/02 23:53:23 - mmengine - INFO - Epoch(train) [64][780/1879] lr: 1.0000e-02 eta: 1 day, 4:35:37 time: 0.2828 data_time: 0.0235 memory: 8198 grad_norm: 5.0785 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7384 loss: 1.7384 2022/08/02 23:53:29 - mmengine - INFO - Epoch(train) [64][800/1879] lr: 1.0000e-02 eta: 1 day, 4:35:31 time: 0.2852 data_time: 0.0285 memory: 8198 grad_norm: 5.1233 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7719 loss: 1.7719 2022/08/02 23:53:34 - mmengine - INFO - Epoch(train) [64][820/1879] lr: 1.0000e-02 eta: 1 day, 4:35:25 time: 0.2818 data_time: 0.0269 memory: 8198 grad_norm: 5.2691 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/08/02 23:53:40 - mmengine - INFO - Epoch(train) [64][840/1879] lr: 1.0000e-02 eta: 1 day, 4:35:20 time: 0.2926 data_time: 0.0204 memory: 8198 grad_norm: 5.2046 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7680 loss: 1.7680 2022/08/02 23:53:46 - mmengine - INFO - Epoch(train) [64][860/1879] lr: 1.0000e-02 eta: 1 day, 4:35:14 time: 0.2805 data_time: 0.0237 memory: 8198 grad_norm: 5.0666 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7251 loss: 1.7251 2022/08/02 23:53:51 - mmengine - INFO - Epoch(train) [64][880/1879] lr: 1.0000e-02 eta: 1 day, 4:35:08 time: 0.2826 data_time: 0.0235 memory: 8198 grad_norm: 5.1273 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7670 loss: 1.7670 2022/08/02 23:53:57 - mmengine - INFO - Epoch(train) [64][900/1879] lr: 1.0000e-02 eta: 1 day, 4:35:03 time: 0.2822 data_time: 0.0288 memory: 8198 grad_norm: 5.1514 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6604 loss: 1.6604 2022/08/02 23:54:03 - mmengine - INFO - Epoch(train) [64][920/1879] lr: 1.0000e-02 eta: 1 day, 4:34:57 time: 0.2885 data_time: 0.0255 memory: 8198 grad_norm: 5.3318 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8239 loss: 1.8239 2022/08/02 23:54:09 - mmengine - INFO - Epoch(train) [64][940/1879] lr: 1.0000e-02 eta: 1 day, 4:34:51 time: 0.2807 data_time: 0.0235 memory: 8198 grad_norm: 5.1128 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8249 loss: 1.8249 2022/08/02 23:54:14 - mmengine - INFO - Epoch(train) [64][960/1879] lr: 1.0000e-02 eta: 1 day, 4:34:46 time: 0.2834 data_time: 0.0209 memory: 8198 grad_norm: 5.1137 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8056 loss: 1.8056 2022/08/02 23:54:20 - mmengine - INFO - Epoch(train) [64][980/1879] lr: 1.0000e-02 eta: 1 day, 4:34:40 time: 0.2879 data_time: 0.0263 memory: 8198 grad_norm: 5.1916 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4349 loss: 1.4349 2022/08/02 23:54:26 - mmengine - INFO - Epoch(train) [64][1000/1879] lr: 1.0000e-02 eta: 1 day, 4:34:34 time: 0.2823 data_time: 0.0197 memory: 8198 grad_norm: 5.0579 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5876 loss: 1.5876 2022/08/02 23:54:31 - mmengine - INFO - Epoch(train) [64][1020/1879] lr: 1.0000e-02 eta: 1 day, 4:34:29 time: 0.2846 data_time: 0.0197 memory: 8198 grad_norm: 5.3022 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8569 loss: 1.8569 2022/08/02 23:54:37 - mmengine - INFO - Epoch(train) [64][1040/1879] lr: 1.0000e-02 eta: 1 day, 4:34:23 time: 0.2810 data_time: 0.0256 memory: 8198 grad_norm: 5.1730 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7302 loss: 1.7302 2022/08/02 23:54:43 - mmengine - INFO - Epoch(train) [64][1060/1879] lr: 1.0000e-02 eta: 1 day, 4:34:18 time: 0.3066 data_time: 0.0175 memory: 8198 grad_norm: 5.2142 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6492 loss: 1.6492 2022/08/02 23:54:49 - mmengine - INFO - Epoch(train) [64][1080/1879] lr: 1.0000e-02 eta: 1 day, 4:34:12 time: 0.2788 data_time: 0.0187 memory: 8198 grad_norm: 5.2386 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7071 loss: 1.7071 2022/08/02 23:54:54 - mmengine - INFO - Epoch(train) [64][1100/1879] lr: 1.0000e-02 eta: 1 day, 4:34:07 time: 0.2870 data_time: 0.0278 memory: 8198 grad_norm: 5.2417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6630 loss: 1.6630 2022/08/02 23:55:01 - mmengine - INFO - Epoch(train) [64][1120/1879] lr: 1.0000e-02 eta: 1 day, 4:34:02 time: 0.3020 data_time: 0.0138 memory: 8198 grad_norm: 5.3035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6424 loss: 1.6424 2022/08/02 23:55:06 - mmengine - INFO - Epoch(train) [64][1140/1879] lr: 1.0000e-02 eta: 1 day, 4:33:56 time: 0.2796 data_time: 0.0270 memory: 8198 grad_norm: 4.9747 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5733 loss: 1.5733 2022/08/02 23:55:12 - mmengine - INFO - Epoch(train) [64][1160/1879] lr: 1.0000e-02 eta: 1 day, 4:33:50 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 5.3220 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6446 loss: 1.6446 2022/08/02 23:55:18 - mmengine - INFO - Epoch(train) [64][1180/1879] lr: 1.0000e-02 eta: 1 day, 4:33:45 time: 0.2893 data_time: 0.0206 memory: 8198 grad_norm: 5.3436 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5357 loss: 1.5357 2022/08/02 23:55:23 - mmengine - INFO - Epoch(train) [64][1200/1879] lr: 1.0000e-02 eta: 1 day, 4:33:39 time: 0.2841 data_time: 0.0250 memory: 8198 grad_norm: 5.4513 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7815 loss: 1.7815 2022/08/02 23:55:29 - mmengine - INFO - Epoch(train) [64][1220/1879] lr: 1.0000e-02 eta: 1 day, 4:33:34 time: 0.2821 data_time: 0.0246 memory: 8198 grad_norm: 5.0873 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7583 loss: 1.7583 2022/08/02 23:55:35 - mmengine - INFO - Epoch(train) [64][1240/1879] lr: 1.0000e-02 eta: 1 day, 4:33:28 time: 0.2818 data_time: 0.0209 memory: 8198 grad_norm: 5.3238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7435 loss: 1.7435 2022/08/02 23:55:40 - mmengine - INFO - Epoch(train) [64][1260/1879] lr: 1.0000e-02 eta: 1 day, 4:33:22 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 5.2232 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6817 loss: 1.6817 2022/08/02 23:55:46 - mmengine - INFO - Epoch(train) [64][1280/1879] lr: 1.0000e-02 eta: 1 day, 4:33:16 time: 0.2837 data_time: 0.0222 memory: 8198 grad_norm: 5.2319 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5963 loss: 1.5963 2022/08/02 23:55:52 - mmengine - INFO - Epoch(train) [64][1300/1879] lr: 1.0000e-02 eta: 1 day, 4:33:11 time: 0.2902 data_time: 0.0195 memory: 8198 grad_norm: 5.2952 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7718 loss: 1.7718 2022/08/02 23:55:58 - mmengine - INFO - Epoch(train) [64][1320/1879] lr: 1.0000e-02 eta: 1 day, 4:33:05 time: 0.2837 data_time: 0.0242 memory: 8198 grad_norm: 5.1747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5922 loss: 1.5922 2022/08/02 23:56:03 - mmengine - INFO - Epoch(train) [64][1340/1879] lr: 1.0000e-02 eta: 1 day, 4:32:59 time: 0.2835 data_time: 0.0266 memory: 8198 grad_norm: 5.2221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6750 loss: 1.6750 2022/08/02 23:56:09 - mmengine - INFO - Epoch(train) [64][1360/1879] lr: 1.0000e-02 eta: 1 day, 4:32:54 time: 0.2862 data_time: 0.0191 memory: 8198 grad_norm: 5.2158 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6760 loss: 1.6760 2022/08/02 23:56:15 - mmengine - INFO - Epoch(train) [64][1380/1879] lr: 1.0000e-02 eta: 1 day, 4:32:48 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 5.3130 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8441 loss: 1.8441 2022/08/02 23:56:20 - mmengine - INFO - Epoch(train) [64][1400/1879] lr: 1.0000e-02 eta: 1 day, 4:32:42 time: 0.2819 data_time: 0.0231 memory: 8198 grad_norm: 5.2108 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5496 loss: 1.5496 2022/08/02 23:56:26 - mmengine - INFO - Epoch(train) [64][1420/1879] lr: 1.0000e-02 eta: 1 day, 4:32:37 time: 0.2848 data_time: 0.0272 memory: 8198 grad_norm: 5.1243 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5233 loss: 1.5233 2022/08/02 23:56:32 - mmengine - INFO - Epoch(train) [64][1440/1879] lr: 1.0000e-02 eta: 1 day, 4:32:31 time: 0.2866 data_time: 0.0236 memory: 8198 grad_norm: 5.2267 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6443 loss: 1.6443 2022/08/02 23:56:37 - mmengine - INFO - Epoch(train) [64][1460/1879] lr: 1.0000e-02 eta: 1 day, 4:32:25 time: 0.2821 data_time: 0.0253 memory: 8198 grad_norm: 5.2833 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4319 loss: 1.4319 2022/08/02 23:56:43 - mmengine - INFO - Epoch(train) [64][1480/1879] lr: 1.0000e-02 eta: 1 day, 4:32:20 time: 0.2845 data_time: 0.0264 memory: 8198 grad_norm: 5.0917 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7674 loss: 1.7674 2022/08/02 23:56:49 - mmengine - INFO - Epoch(train) [64][1500/1879] lr: 1.0000e-02 eta: 1 day, 4:32:14 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 5.0708 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5990 loss: 1.5990 2022/08/02 23:56:54 - mmengine - INFO - Epoch(train) [64][1520/1879] lr: 1.0000e-02 eta: 1 day, 4:32:08 time: 0.2810 data_time: 0.0184 memory: 8198 grad_norm: 5.2884 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6931 loss: 1.6931 2022/08/02 23:57:00 - mmengine - INFO - Epoch(train) [64][1540/1879] lr: 1.0000e-02 eta: 1 day, 4:32:03 time: 0.2858 data_time: 0.0267 memory: 8198 grad_norm: 5.3420 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5340 loss: 1.5340 2022/08/02 23:57:06 - mmengine - INFO - Epoch(train) [64][1560/1879] lr: 1.0000e-02 eta: 1 day, 4:31:57 time: 0.2930 data_time: 0.0212 memory: 8198 grad_norm: 5.2283 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7040 loss: 1.7040 2022/08/02 23:57:12 - mmengine - INFO - Epoch(train) [64][1580/1879] lr: 1.0000e-02 eta: 1 day, 4:31:51 time: 0.2805 data_time: 0.0257 memory: 8198 grad_norm: 5.1347 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8049 loss: 1.8049 2022/08/02 23:57:17 - mmengine - INFO - Epoch(train) [64][1600/1879] lr: 1.0000e-02 eta: 1 day, 4:31:46 time: 0.2835 data_time: 0.0255 memory: 8198 grad_norm: 5.3301 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6635 loss: 1.6635 2022/08/02 23:57:23 - mmengine - INFO - Epoch(train) [64][1620/1879] lr: 1.0000e-02 eta: 1 day, 4:31:40 time: 0.2834 data_time: 0.0255 memory: 8198 grad_norm: 5.1760 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6418 loss: 1.6418 2022/08/02 23:57:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:57:29 - mmengine - INFO - Epoch(train) [64][1640/1879] lr: 1.0000e-02 eta: 1 day, 4:31:34 time: 0.2880 data_time: 0.0226 memory: 8198 grad_norm: 5.1960 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7375 loss: 1.7375 2022/08/02 23:57:35 - mmengine - INFO - Epoch(train) [64][1660/1879] lr: 1.0000e-02 eta: 1 day, 4:31:29 time: 0.2822 data_time: 0.0189 memory: 8198 grad_norm: 5.2388 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7988 loss: 1.7988 2022/08/02 23:57:40 - mmengine - INFO - Epoch(train) [64][1680/1879] lr: 1.0000e-02 eta: 1 day, 4:31:23 time: 0.2882 data_time: 0.0225 memory: 8198 grad_norm: 5.1328 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6353 loss: 1.6353 2022/08/02 23:57:46 - mmengine - INFO - Epoch(train) [64][1700/1879] lr: 1.0000e-02 eta: 1 day, 4:31:18 time: 0.2853 data_time: 0.0255 memory: 8198 grad_norm: 5.3682 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5074 loss: 1.5074 2022/08/02 23:57:52 - mmengine - INFO - Epoch(train) [64][1720/1879] lr: 1.0000e-02 eta: 1 day, 4:31:12 time: 0.2803 data_time: 0.0217 memory: 8198 grad_norm: 5.2276 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6524 loss: 1.6524 2022/08/02 23:57:57 - mmengine - INFO - Epoch(train) [64][1740/1879] lr: 1.0000e-02 eta: 1 day, 4:31:06 time: 0.2837 data_time: 0.0251 memory: 8198 grad_norm: 5.3056 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8222 loss: 1.8222 2022/08/02 23:58:03 - mmengine - INFO - Epoch(train) [64][1760/1879] lr: 1.0000e-02 eta: 1 day, 4:31:00 time: 0.2887 data_time: 0.0185 memory: 8198 grad_norm: 5.2343 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6579 loss: 1.6579 2022/08/02 23:58:09 - mmengine - INFO - Epoch(train) [64][1780/1879] lr: 1.0000e-02 eta: 1 day, 4:30:55 time: 0.2842 data_time: 0.0269 memory: 8198 grad_norm: 5.2591 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0880 loss: 2.0880 2022/08/02 23:58:14 - mmengine - INFO - Epoch(train) [64][1800/1879] lr: 1.0000e-02 eta: 1 day, 4:30:49 time: 0.2825 data_time: 0.0206 memory: 8198 grad_norm: 5.2763 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7701 loss: 1.7701 2022/08/02 23:58:20 - mmengine - INFO - Epoch(train) [64][1820/1879] lr: 1.0000e-02 eta: 1 day, 4:30:43 time: 0.2883 data_time: 0.0229 memory: 8198 grad_norm: 5.1678 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7227 loss: 1.7227 2022/08/02 23:58:26 - mmengine - INFO - Epoch(train) [64][1840/1879] lr: 1.0000e-02 eta: 1 day, 4:30:38 time: 0.2805 data_time: 0.0212 memory: 8198 grad_norm: 5.1908 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7046 loss: 1.7046 2022/08/02 23:58:32 - mmengine - INFO - Epoch(train) [64][1860/1879] lr: 1.0000e-02 eta: 1 day, 4:30:32 time: 0.2889 data_time: 0.0250 memory: 8198 grad_norm: 5.2100 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7593 loss: 1.7593 2022/08/02 23:58:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/02 23:58:36 - mmengine - INFO - Epoch(train) [64][1879/1879] lr: 1.0000e-02 eta: 1 day, 4:30:32 time: 0.2523 data_time: 0.0146 memory: 8198 grad_norm: 5.2978 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4539 loss: 1.4539 2022/08/02 23:58:36 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/08/02 23:58:46 - mmengine - INFO - Epoch(train) [65][20/1879] lr: 1.0000e-02 eta: 1 day, 4:30:10 time: 0.3635 data_time: 0.1128 memory: 8198 grad_norm: 5.1394 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5934 loss: 1.5934 2022/08/02 23:58:52 - mmengine - INFO - Epoch(train) [65][40/1879] lr: 1.0000e-02 eta: 1 day, 4:30:04 time: 0.2853 data_time: 0.0249 memory: 8198 grad_norm: 5.2260 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6290 loss: 1.6290 2022/08/02 23:58:57 - mmengine - INFO - Epoch(train) [65][60/1879] lr: 1.0000e-02 eta: 1 day, 4:29:58 time: 0.2813 data_time: 0.0240 memory: 8198 grad_norm: 5.2543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6166 loss: 1.6166 2022/08/02 23:59:03 - mmengine - INFO - Epoch(train) [65][80/1879] lr: 1.0000e-02 eta: 1 day, 4:29:52 time: 0.2864 data_time: 0.0211 memory: 8198 grad_norm: 5.2377 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5983 loss: 1.5983 2022/08/02 23:59:09 - mmengine - INFO - Epoch(train) [65][100/1879] lr: 1.0000e-02 eta: 1 day, 4:29:47 time: 0.2889 data_time: 0.0293 memory: 8198 grad_norm: 5.1510 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5833 loss: 1.5833 2022/08/02 23:59:14 - mmengine - INFO - Epoch(train) [65][120/1879] lr: 1.0000e-02 eta: 1 day, 4:29:41 time: 0.2803 data_time: 0.0200 memory: 8198 grad_norm: 5.3332 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7084 loss: 1.7084 2022/08/02 23:59:20 - mmengine - INFO - Epoch(train) [65][140/1879] lr: 1.0000e-02 eta: 1 day, 4:29:35 time: 0.2823 data_time: 0.0235 memory: 8198 grad_norm: 5.2662 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6950 loss: 1.6950 2022/08/02 23:59:26 - mmengine - INFO - Epoch(train) [65][160/1879] lr: 1.0000e-02 eta: 1 day, 4:29:29 time: 0.2827 data_time: 0.0245 memory: 8198 grad_norm: 5.2337 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5745 loss: 1.5745 2022/08/02 23:59:32 - mmengine - INFO - Epoch(train) [65][180/1879] lr: 1.0000e-02 eta: 1 day, 4:29:24 time: 0.2866 data_time: 0.0279 memory: 8198 grad_norm: 5.3077 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8871 loss: 1.8871 2022/08/02 23:59:37 - mmengine - INFO - Epoch(train) [65][200/1879] lr: 1.0000e-02 eta: 1 day, 4:29:18 time: 0.2869 data_time: 0.0317 memory: 8198 grad_norm: 5.2565 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8331 loss: 1.8331 2022/08/02 23:59:43 - mmengine - INFO - Epoch(train) [65][220/1879] lr: 1.0000e-02 eta: 1 day, 4:29:13 time: 0.2879 data_time: 0.0278 memory: 8198 grad_norm: 5.1537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8159 loss: 1.8159 2022/08/02 23:59:49 - mmengine - INFO - Epoch(train) [65][240/1879] lr: 1.0000e-02 eta: 1 day, 4:29:07 time: 0.2807 data_time: 0.0266 memory: 8198 grad_norm: 5.3712 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6885 loss: 1.6885 2022/08/02 23:59:54 - mmengine - INFO - Epoch(train) [65][260/1879] lr: 1.0000e-02 eta: 1 day, 4:29:01 time: 0.2810 data_time: 0.0242 memory: 8198 grad_norm: 5.2934 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/08/03 00:00:00 - mmengine - INFO - Epoch(train) [65][280/1879] lr: 1.0000e-02 eta: 1 day, 4:28:56 time: 0.2890 data_time: 0.0225 memory: 8198 grad_norm: 5.0915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5742 loss: 1.5742 2022/08/03 00:00:09 - mmengine - INFO - Epoch(train) [65][300/1879] lr: 1.0000e-02 eta: 1 day, 4:28:59 time: 0.4298 data_time: 0.0269 memory: 8198 grad_norm: 5.0753 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8011 loss: 1.8011 2022/08/03 00:00:15 - mmengine - INFO - Epoch(train) [65][320/1879] lr: 1.0000e-02 eta: 1 day, 4:28:53 time: 0.2903 data_time: 0.0195 memory: 8198 grad_norm: 5.2331 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/03 00:00:21 - mmengine - INFO - Epoch(train) [65][340/1879] lr: 1.0000e-02 eta: 1 day, 4:28:48 time: 0.2978 data_time: 0.0252 memory: 8198 grad_norm: 5.2702 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8334 loss: 1.8334 2022/08/03 00:00:26 - mmengine - INFO - Epoch(train) [65][360/1879] lr: 1.0000e-02 eta: 1 day, 4:28:43 time: 0.2807 data_time: 0.0244 memory: 8198 grad_norm: 5.3623 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/08/03 00:00:32 - mmengine - INFO - Epoch(train) [65][380/1879] lr: 1.0000e-02 eta: 1 day, 4:28:37 time: 0.2798 data_time: 0.0231 memory: 8198 grad_norm: 5.1753 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4608 loss: 1.4608 2022/08/03 00:00:37 - mmengine - INFO - Epoch(train) [65][400/1879] lr: 1.0000e-02 eta: 1 day, 4:28:31 time: 0.2804 data_time: 0.0240 memory: 8198 grad_norm: 5.0108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8018 loss: 1.8018 2022/08/03 00:00:43 - mmengine - INFO - Epoch(train) [65][420/1879] lr: 1.0000e-02 eta: 1 day, 4:28:25 time: 0.2837 data_time: 0.0250 memory: 8198 grad_norm: 5.2750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5269 loss: 1.5269 2022/08/03 00:00:49 - mmengine - INFO - Epoch(train) [65][440/1879] lr: 1.0000e-02 eta: 1 day, 4:28:19 time: 0.2861 data_time: 0.0292 memory: 8198 grad_norm: 5.1286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8498 loss: 1.8498 2022/08/03 00:00:54 - mmengine - INFO - Epoch(train) [65][460/1879] lr: 1.0000e-02 eta: 1 day, 4:28:14 time: 0.2830 data_time: 0.0201 memory: 8198 grad_norm: 5.0344 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6988 loss: 1.6988 2022/08/03 00:01:00 - mmengine - INFO - Epoch(train) [65][480/1879] lr: 1.0000e-02 eta: 1 day, 4:28:09 time: 0.2970 data_time: 0.0216 memory: 8198 grad_norm: 5.1925 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5603 loss: 1.5603 2022/08/03 00:01:06 - mmengine - INFO - Epoch(train) [65][500/1879] lr: 1.0000e-02 eta: 1 day, 4:28:04 time: 0.2967 data_time: 0.0181 memory: 8198 grad_norm: 5.2548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/08/03 00:01:12 - mmengine - INFO - Epoch(train) [65][520/1879] lr: 1.0000e-02 eta: 1 day, 4:27:58 time: 0.2834 data_time: 0.0217 memory: 8198 grad_norm: 5.1335 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7808 loss: 1.7808 2022/08/03 00:01:18 - mmengine - INFO - Epoch(train) [65][540/1879] lr: 1.0000e-02 eta: 1 day, 4:27:52 time: 0.2817 data_time: 0.0213 memory: 8198 grad_norm: 5.2706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6462 loss: 1.6462 2022/08/03 00:01:23 - mmengine - INFO - Epoch(train) [65][560/1879] lr: 1.0000e-02 eta: 1 day, 4:27:46 time: 0.2853 data_time: 0.0252 memory: 8198 grad_norm: 5.1242 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/08/03 00:01:29 - mmengine - INFO - Epoch(train) [65][580/1879] lr: 1.0000e-02 eta: 1 day, 4:27:41 time: 0.2822 data_time: 0.0174 memory: 8198 grad_norm: 5.3282 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8158 loss: 1.8158 2022/08/03 00:01:35 - mmengine - INFO - Epoch(train) [65][600/1879] lr: 1.0000e-02 eta: 1 day, 4:27:35 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 5.1060 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4996 loss: 1.4996 2022/08/03 00:01:40 - mmengine - INFO - Epoch(train) [65][620/1879] lr: 1.0000e-02 eta: 1 day, 4:27:29 time: 0.2838 data_time: 0.0229 memory: 8198 grad_norm: 5.1707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6796 loss: 1.6796 2022/08/03 00:01:46 - mmengine - INFO - Epoch(train) [65][640/1879] lr: 1.0000e-02 eta: 1 day, 4:27:23 time: 0.2852 data_time: 0.0266 memory: 8198 grad_norm: 5.1796 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6724 loss: 1.6724 2022/08/03 00:01:52 - mmengine - INFO - Epoch(train) [65][660/1879] lr: 1.0000e-02 eta: 1 day, 4:27:18 time: 0.2819 data_time: 0.0231 memory: 8198 grad_norm: 5.1191 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6356 loss: 1.6356 2022/08/03 00:01:57 - mmengine - INFO - Epoch(train) [65][680/1879] lr: 1.0000e-02 eta: 1 day, 4:27:12 time: 0.2818 data_time: 0.0204 memory: 8198 grad_norm: 5.2073 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6834 loss: 1.6834 2022/08/03 00:02:03 - mmengine - INFO - Epoch(train) [65][700/1879] lr: 1.0000e-02 eta: 1 day, 4:27:06 time: 0.2823 data_time: 0.0247 memory: 8198 grad_norm: 5.3006 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7113 loss: 1.7113 2022/08/03 00:02:09 - mmengine - INFO - Epoch(train) [65][720/1879] lr: 1.0000e-02 eta: 1 day, 4:27:00 time: 0.2868 data_time: 0.0238 memory: 8198 grad_norm: 5.3548 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7009 loss: 1.7009 2022/08/03 00:02:14 - mmengine - INFO - Epoch(train) [65][740/1879] lr: 1.0000e-02 eta: 1 day, 4:26:54 time: 0.2810 data_time: 0.0204 memory: 8198 grad_norm: 5.1338 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7126 loss: 1.7126 2022/08/03 00:02:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:02:20 - mmengine - INFO - Epoch(train) [65][760/1879] lr: 1.0000e-02 eta: 1 day, 4:26:49 time: 0.2849 data_time: 0.0207 memory: 8198 grad_norm: 5.3513 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6509 loss: 1.6509 2022/08/03 00:02:26 - mmengine - INFO - Epoch(train) [65][780/1879] lr: 1.0000e-02 eta: 1 day, 4:26:43 time: 0.2811 data_time: 0.0240 memory: 8198 grad_norm: 5.1023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6702 loss: 1.6702 2022/08/03 00:02:32 - mmengine - INFO - Epoch(train) [65][800/1879] lr: 1.0000e-02 eta: 1 day, 4:26:38 time: 0.2901 data_time: 0.0205 memory: 8198 grad_norm: 5.1800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7091 loss: 1.7091 2022/08/03 00:02:37 - mmengine - INFO - Epoch(train) [65][820/1879] lr: 1.0000e-02 eta: 1 day, 4:26:32 time: 0.2818 data_time: 0.0234 memory: 8198 grad_norm: 5.1853 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7806 loss: 1.7806 2022/08/03 00:02:43 - mmengine - INFO - Epoch(train) [65][840/1879] lr: 1.0000e-02 eta: 1 day, 4:26:26 time: 0.2843 data_time: 0.0238 memory: 8198 grad_norm: 5.2695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5351 loss: 1.5351 2022/08/03 00:02:49 - mmengine - INFO - Epoch(train) [65][860/1879] lr: 1.0000e-02 eta: 1 day, 4:26:20 time: 0.2837 data_time: 0.0280 memory: 8198 grad_norm: 5.1522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/08/03 00:02:54 - mmengine - INFO - Epoch(train) [65][880/1879] lr: 1.0000e-02 eta: 1 day, 4:26:15 time: 0.2840 data_time: 0.0293 memory: 8198 grad_norm: 5.1786 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6116 loss: 1.6116 2022/08/03 00:03:00 - mmengine - INFO - Epoch(train) [65][900/1879] lr: 1.0000e-02 eta: 1 day, 4:26:09 time: 0.2825 data_time: 0.0224 memory: 8198 grad_norm: 5.2030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8676 loss: 1.8676 2022/08/03 00:03:06 - mmengine - INFO - Epoch(train) [65][920/1879] lr: 1.0000e-02 eta: 1 day, 4:26:04 time: 0.2958 data_time: 0.0212 memory: 8198 grad_norm: 5.1361 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7526 loss: 1.7526 2022/08/03 00:03:12 - mmengine - INFO - Epoch(train) [65][940/1879] lr: 1.0000e-02 eta: 1 day, 4:25:58 time: 0.2815 data_time: 0.0221 memory: 8198 grad_norm: 4.9954 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5260 loss: 1.5260 2022/08/03 00:03:17 - mmengine - INFO - Epoch(train) [65][960/1879] lr: 1.0000e-02 eta: 1 day, 4:25:52 time: 0.2829 data_time: 0.0190 memory: 8198 grad_norm: 5.1740 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6452 loss: 1.6452 2022/08/03 00:03:23 - mmengine - INFO - Epoch(train) [65][980/1879] lr: 1.0000e-02 eta: 1 day, 4:25:46 time: 0.2847 data_time: 0.0241 memory: 8198 grad_norm: 5.2392 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5667 loss: 1.5667 2022/08/03 00:03:29 - mmengine - INFO - Epoch(train) [65][1000/1879] lr: 1.0000e-02 eta: 1 day, 4:25:41 time: 0.2841 data_time: 0.0214 memory: 8198 grad_norm: 5.2245 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7447 loss: 1.7447 2022/08/03 00:03:34 - mmengine - INFO - Epoch(train) [65][1020/1879] lr: 1.0000e-02 eta: 1 day, 4:25:35 time: 0.2799 data_time: 0.0197 memory: 8198 grad_norm: 5.2248 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7766 loss: 1.7766 2022/08/03 00:03:40 - mmengine - INFO - Epoch(train) [65][1040/1879] lr: 1.0000e-02 eta: 1 day, 4:25:29 time: 0.2856 data_time: 0.0202 memory: 8198 grad_norm: 5.2841 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7287 loss: 1.7287 2022/08/03 00:03:46 - mmengine - INFO - Epoch(train) [65][1060/1879] lr: 1.0000e-02 eta: 1 day, 4:25:24 time: 0.2858 data_time: 0.0170 memory: 8198 grad_norm: 5.2323 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6476 loss: 1.6476 2022/08/03 00:03:52 - mmengine - INFO - Epoch(train) [65][1080/1879] lr: 1.0000e-02 eta: 1 day, 4:25:18 time: 0.2883 data_time: 0.0226 memory: 8198 grad_norm: 5.0918 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7637 loss: 1.7637 2022/08/03 00:03:57 - mmengine - INFO - Epoch(train) [65][1100/1879] lr: 1.0000e-02 eta: 1 day, 4:25:12 time: 0.2858 data_time: 0.0227 memory: 8198 grad_norm: 5.3934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8972 loss: 1.8972 2022/08/03 00:04:03 - mmengine - INFO - Epoch(train) [65][1120/1879] lr: 1.0000e-02 eta: 1 day, 4:25:07 time: 0.2898 data_time: 0.0261 memory: 8198 grad_norm: 5.2219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6220 loss: 1.6220 2022/08/03 00:04:09 - mmengine - INFO - Epoch(train) [65][1140/1879] lr: 1.0000e-02 eta: 1 day, 4:25:01 time: 0.2854 data_time: 0.0204 memory: 8198 grad_norm: 5.0629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6395 loss: 1.6395 2022/08/03 00:04:15 - mmengine - INFO - Epoch(train) [65][1160/1879] lr: 1.0000e-02 eta: 1 day, 4:24:56 time: 0.2873 data_time: 0.0286 memory: 8198 grad_norm: 5.2484 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5364 loss: 1.5364 2022/08/03 00:04:20 - mmengine - INFO - Epoch(train) [65][1180/1879] lr: 1.0000e-02 eta: 1 day, 4:24:50 time: 0.2821 data_time: 0.0199 memory: 8198 grad_norm: 5.2969 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8012 loss: 1.8012 2022/08/03 00:04:26 - mmengine - INFO - Epoch(train) [65][1200/1879] lr: 1.0000e-02 eta: 1 day, 4:24:44 time: 0.2818 data_time: 0.0209 memory: 8198 grad_norm: 5.0957 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4561 loss: 1.4561 2022/08/03 00:04:32 - mmengine - INFO - Epoch(train) [65][1220/1879] lr: 1.0000e-02 eta: 1 day, 4:24:39 time: 0.2842 data_time: 0.0241 memory: 8198 grad_norm: 5.1808 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8022 loss: 1.8022 2022/08/03 00:04:37 - mmengine - INFO - Epoch(train) [65][1240/1879] lr: 1.0000e-02 eta: 1 day, 4:24:33 time: 0.2833 data_time: 0.0219 memory: 8198 grad_norm: 5.3547 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8313 loss: 1.8313 2022/08/03 00:04:43 - mmengine - INFO - Epoch(train) [65][1260/1879] lr: 1.0000e-02 eta: 1 day, 4:24:27 time: 0.2871 data_time: 0.0236 memory: 8198 grad_norm: 5.2483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6728 loss: 1.6728 2022/08/03 00:04:49 - mmengine - INFO - Epoch(train) [65][1280/1879] lr: 1.0000e-02 eta: 1 day, 4:24:22 time: 0.2871 data_time: 0.0243 memory: 8198 grad_norm: 5.1272 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6912 loss: 1.6912 2022/08/03 00:04:54 - mmengine - INFO - Epoch(train) [65][1300/1879] lr: 1.0000e-02 eta: 1 day, 4:24:16 time: 0.2827 data_time: 0.0246 memory: 8198 grad_norm: 5.1271 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7612 loss: 1.7612 2022/08/03 00:05:00 - mmengine - INFO - Epoch(train) [65][1320/1879] lr: 1.0000e-02 eta: 1 day, 4:24:10 time: 0.2883 data_time: 0.0240 memory: 8198 grad_norm: 5.4305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6857 loss: 1.6857 2022/08/03 00:05:06 - mmengine - INFO - Epoch(train) [65][1340/1879] lr: 1.0000e-02 eta: 1 day, 4:24:05 time: 0.2816 data_time: 0.0244 memory: 8198 grad_norm: 5.2337 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6549 loss: 1.6549 2022/08/03 00:05:12 - mmengine - INFO - Epoch(train) [65][1360/1879] lr: 1.0000e-02 eta: 1 day, 4:23:59 time: 0.2880 data_time: 0.0229 memory: 8198 grad_norm: 5.1142 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5419 loss: 1.5419 2022/08/03 00:05:17 - mmengine - INFO - Epoch(train) [65][1380/1879] lr: 1.0000e-02 eta: 1 day, 4:23:53 time: 0.2776 data_time: 0.0241 memory: 8198 grad_norm: 5.2194 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8024 loss: 1.8024 2022/08/03 00:05:23 - mmengine - INFO - Epoch(train) [65][1400/1879] lr: 1.0000e-02 eta: 1 day, 4:23:48 time: 0.2943 data_time: 0.0232 memory: 8198 grad_norm: 5.1601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/08/03 00:05:29 - mmengine - INFO - Epoch(train) [65][1420/1879] lr: 1.0000e-02 eta: 1 day, 4:23:43 time: 0.2903 data_time: 0.0253 memory: 8198 grad_norm: 5.3306 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6241 loss: 1.6241 2022/08/03 00:05:35 - mmengine - INFO - Epoch(train) [65][1440/1879] lr: 1.0000e-02 eta: 1 day, 4:23:37 time: 0.2844 data_time: 0.0248 memory: 8198 grad_norm: 5.2322 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7398 loss: 1.7398 2022/08/03 00:05:40 - mmengine - INFO - Epoch(train) [65][1460/1879] lr: 1.0000e-02 eta: 1 day, 4:23:32 time: 0.2937 data_time: 0.0233 memory: 8198 grad_norm: 5.1747 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5604 loss: 1.5604 2022/08/03 00:05:46 - mmengine - INFO - Epoch(train) [65][1480/1879] lr: 1.0000e-02 eta: 1 day, 4:23:26 time: 0.2849 data_time: 0.0277 memory: 8198 grad_norm: 5.2674 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6209 loss: 1.6209 2022/08/03 00:05:52 - mmengine - INFO - Epoch(train) [65][1500/1879] lr: 1.0000e-02 eta: 1 day, 4:23:21 time: 0.2870 data_time: 0.0227 memory: 8198 grad_norm: 5.1068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6896 loss: 1.6896 2022/08/03 00:05:58 - mmengine - INFO - Epoch(train) [65][1520/1879] lr: 1.0000e-02 eta: 1 day, 4:23:15 time: 0.2829 data_time: 0.0232 memory: 8198 grad_norm: 5.2848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7486 loss: 1.7486 2022/08/03 00:06:03 - mmengine - INFO - Epoch(train) [65][1540/1879] lr: 1.0000e-02 eta: 1 day, 4:23:09 time: 0.2836 data_time: 0.0231 memory: 8198 grad_norm: 5.3432 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6949 loss: 1.6949 2022/08/03 00:06:09 - mmengine - INFO - Epoch(train) [65][1560/1879] lr: 1.0000e-02 eta: 1 day, 4:23:04 time: 0.3004 data_time: 0.0302 memory: 8198 grad_norm: 5.3743 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7223 loss: 1.7223 2022/08/03 00:06:15 - mmengine - INFO - Epoch(train) [65][1580/1879] lr: 1.0000e-02 eta: 1 day, 4:22:58 time: 0.2780 data_time: 0.0238 memory: 8198 grad_norm: 5.2298 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7432 loss: 1.7432 2022/08/03 00:06:21 - mmengine - INFO - Epoch(train) [65][1600/1879] lr: 1.0000e-02 eta: 1 day, 4:22:53 time: 0.2956 data_time: 0.0198 memory: 8198 grad_norm: 5.4236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6988 loss: 1.6988 2022/08/03 00:06:26 - mmengine - INFO - Epoch(train) [65][1620/1879] lr: 1.0000e-02 eta: 1 day, 4:22:47 time: 0.2845 data_time: 0.0250 memory: 8198 grad_norm: 5.2546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6672 loss: 1.6672 2022/08/03 00:06:32 - mmengine - INFO - Epoch(train) [65][1640/1879] lr: 1.0000e-02 eta: 1 day, 4:22:42 time: 0.2862 data_time: 0.0242 memory: 8198 grad_norm: 5.3458 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7874 loss: 1.7874 2022/08/03 00:06:38 - mmengine - INFO - Epoch(train) [65][1660/1879] lr: 1.0000e-02 eta: 1 day, 4:22:36 time: 0.2861 data_time: 0.0277 memory: 8198 grad_norm: 5.2006 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7709 loss: 1.7709 2022/08/03 00:06:44 - mmengine - INFO - Epoch(train) [65][1680/1879] lr: 1.0000e-02 eta: 1 day, 4:22:31 time: 0.2845 data_time: 0.0205 memory: 8198 grad_norm: 5.1342 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7753 loss: 1.7753 2022/08/03 00:06:49 - mmengine - INFO - Epoch(train) [65][1700/1879] lr: 1.0000e-02 eta: 1 day, 4:22:25 time: 0.2816 data_time: 0.0195 memory: 8198 grad_norm: 5.3034 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8228 loss: 1.8228 2022/08/03 00:06:55 - mmengine - INFO - Epoch(train) [65][1720/1879] lr: 1.0000e-02 eta: 1 day, 4:22:19 time: 0.2877 data_time: 0.0231 memory: 8198 grad_norm: 5.2949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7202 loss: 1.7202 2022/08/03 00:07:01 - mmengine - INFO - Epoch(train) [65][1740/1879] lr: 1.0000e-02 eta: 1 day, 4:22:14 time: 0.2837 data_time: 0.0203 memory: 8198 grad_norm: 5.2826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7658 loss: 1.7658 2022/08/03 00:07:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:07:06 - mmengine - INFO - Epoch(train) [65][1760/1879] lr: 1.0000e-02 eta: 1 day, 4:22:08 time: 0.2840 data_time: 0.0284 memory: 8198 grad_norm: 5.1708 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6447 loss: 1.6447 2022/08/03 00:07:12 - mmengine - INFO - Epoch(train) [65][1780/1879] lr: 1.0000e-02 eta: 1 day, 4:22:03 time: 0.2953 data_time: 0.0234 memory: 8198 grad_norm: 5.2091 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5339 loss: 1.5339 2022/08/03 00:07:18 - mmengine - INFO - Epoch(train) [65][1800/1879] lr: 1.0000e-02 eta: 1 day, 4:21:57 time: 0.2797 data_time: 0.0238 memory: 8198 grad_norm: 5.1992 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8540 loss: 1.8540 2022/08/03 00:07:24 - mmengine - INFO - Epoch(train) [65][1820/1879] lr: 1.0000e-02 eta: 1 day, 4:21:51 time: 0.2914 data_time: 0.0200 memory: 8198 grad_norm: 5.0698 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8258 loss: 1.8258 2022/08/03 00:07:30 - mmengine - INFO - Epoch(train) [65][1840/1879] lr: 1.0000e-02 eta: 1 day, 4:21:46 time: 0.2848 data_time: 0.0277 memory: 8198 grad_norm: 5.1662 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7250 loss: 1.7250 2022/08/03 00:07:35 - mmengine - INFO - Epoch(train) [65][1860/1879] lr: 1.0000e-02 eta: 1 day, 4:21:40 time: 0.2821 data_time: 0.0204 memory: 8198 grad_norm: 5.1693 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6311 loss: 1.6311 2022/08/03 00:07:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:07:40 - mmengine - INFO - Epoch(train) [65][1879/1879] lr: 1.0000e-02 eta: 1 day, 4:21:40 time: 0.2581 data_time: 0.0196 memory: 8198 grad_norm: 5.4538 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.8174 loss: 1.8174 2022/08/03 00:07:47 - mmengine - INFO - Epoch(val) [65][20/155] eta: 0:00:45 time: 0.3350 data_time: 0.2445 memory: 1514 2022/08/03 00:07:51 - mmengine - INFO - Epoch(val) [65][40/155] eta: 0:00:26 time: 0.2303 data_time: 0.1369 memory: 1514 2022/08/03 00:07:57 - mmengine - INFO - Epoch(val) [65][60/155] eta: 0:00:27 time: 0.2924 data_time: 0.2065 memory: 1514 2022/08/03 00:08:03 - mmengine - INFO - Epoch(val) [65][80/155] eta: 0:00:20 time: 0.2776 data_time: 0.1802 memory: 1514 2022/08/03 00:08:10 - mmengine - INFO - Epoch(val) [65][100/155] eta: 0:00:20 time: 0.3799 data_time: 0.2884 memory: 1514 2022/08/03 00:08:15 - mmengine - INFO - Epoch(val) [65][120/155] eta: 0:00:07 time: 0.2206 data_time: 0.1321 memory: 1514 2022/08/03 00:08:21 - mmengine - INFO - Epoch(val) [65][140/155] eta: 0:00:04 time: 0.2926 data_time: 0.2072 memory: 1514 2022/08/03 00:08:26 - mmengine - INFO - Epoch(val) [65][155/155] acc/top1: 0.6355 acc/top5: 0.8503 acc/mean1: 0.6353 2022/08/03 00:08:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_61.pth is removed 2022/08/03 00:08:28 - mmengine - INFO - The best checkpoint with 0.6355 acc/top1 at 66 epoch is saved to best_acc/top1_epoch_66.pth. 2022/08/03 00:08:35 - mmengine - INFO - Epoch(train) [66][20/1879] lr: 1.0000e-02 eta: 1 day, 4:21:18 time: 0.3730 data_time: 0.1103 memory: 8198 grad_norm: 5.1941 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7748 loss: 1.7748 2022/08/03 00:08:41 - mmengine - INFO - Epoch(train) [66][40/1879] lr: 1.0000e-02 eta: 1 day, 4:21:12 time: 0.2837 data_time: 0.0178 memory: 8198 grad_norm: 5.1737 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8883 loss: 1.8883 2022/08/03 00:08:47 - mmengine - INFO - Epoch(train) [66][60/1879] lr: 1.0000e-02 eta: 1 day, 4:21:07 time: 0.2859 data_time: 0.0247 memory: 8198 grad_norm: 5.2825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5841 loss: 1.5841 2022/08/03 00:08:53 - mmengine - INFO - Epoch(train) [66][80/1879] lr: 1.0000e-02 eta: 1 day, 4:21:01 time: 0.2879 data_time: 0.0235 memory: 8198 grad_norm: 5.1363 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7133 loss: 1.7133 2022/08/03 00:08:58 - mmengine - INFO - Epoch(train) [66][100/1879] lr: 1.0000e-02 eta: 1 day, 4:20:56 time: 0.2931 data_time: 0.0279 memory: 8198 grad_norm: 5.2806 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6388 loss: 1.6388 2022/08/03 00:09:04 - mmengine - INFO - Epoch(train) [66][120/1879] lr: 1.0000e-02 eta: 1 day, 4:20:50 time: 0.2797 data_time: 0.0210 memory: 8198 grad_norm: 5.2355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8684 loss: 1.8684 2022/08/03 00:09:10 - mmengine - INFO - Epoch(train) [66][140/1879] lr: 1.0000e-02 eta: 1 day, 4:20:45 time: 0.2915 data_time: 0.0233 memory: 8198 grad_norm: 5.2621 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8124 loss: 1.8124 2022/08/03 00:09:16 - mmengine - INFO - Epoch(train) [66][160/1879] lr: 1.0000e-02 eta: 1 day, 4:20:39 time: 0.2795 data_time: 0.0205 memory: 8198 grad_norm: 5.2548 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8144 loss: 1.8144 2022/08/03 00:09:21 - mmengine - INFO - Epoch(train) [66][180/1879] lr: 1.0000e-02 eta: 1 day, 4:20:33 time: 0.2804 data_time: 0.0223 memory: 8198 grad_norm: 5.2739 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7116 loss: 1.7116 2022/08/03 00:09:27 - mmengine - INFO - Epoch(train) [66][200/1879] lr: 1.0000e-02 eta: 1 day, 4:20:27 time: 0.2844 data_time: 0.0212 memory: 8198 grad_norm: 5.0087 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6672 loss: 1.6672 2022/08/03 00:09:33 - mmengine - INFO - Epoch(train) [66][220/1879] lr: 1.0000e-02 eta: 1 day, 4:20:23 time: 0.3070 data_time: 0.0210 memory: 8198 grad_norm: 5.1938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6360 loss: 1.6360 2022/08/03 00:09:39 - mmengine - INFO - Epoch(train) [66][240/1879] lr: 1.0000e-02 eta: 1 day, 4:20:17 time: 0.2834 data_time: 0.0220 memory: 8198 grad_norm: 5.1766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4954 loss: 1.4954 2022/08/03 00:09:44 - mmengine - INFO - Epoch(train) [66][260/1879] lr: 1.0000e-02 eta: 1 day, 4:20:12 time: 0.2849 data_time: 0.0264 memory: 8198 grad_norm: 5.2177 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5536 loss: 1.5536 2022/08/03 00:09:50 - mmengine - INFO - Epoch(train) [66][280/1879] lr: 1.0000e-02 eta: 1 day, 4:20:07 time: 0.3038 data_time: 0.0188 memory: 8198 grad_norm: 5.1687 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7520 loss: 1.7520 2022/08/03 00:09:56 - mmengine - INFO - Epoch(train) [66][300/1879] lr: 1.0000e-02 eta: 1 day, 4:20:01 time: 0.2802 data_time: 0.0197 memory: 8198 grad_norm: 5.1946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/08/03 00:10:02 - mmengine - INFO - Epoch(train) [66][320/1879] lr: 1.0000e-02 eta: 1 day, 4:19:55 time: 0.2817 data_time: 0.0218 memory: 8198 grad_norm: 5.3338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6652 loss: 1.6652 2022/08/03 00:10:07 - mmengine - INFO - Epoch(train) [66][340/1879] lr: 1.0000e-02 eta: 1 day, 4:19:50 time: 0.2873 data_time: 0.0212 memory: 8198 grad_norm: 5.3742 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7384 loss: 1.7384 2022/08/03 00:10:13 - mmengine - INFO - Epoch(train) [66][360/1879] lr: 1.0000e-02 eta: 1 day, 4:19:44 time: 0.2901 data_time: 0.0232 memory: 8198 grad_norm: 5.2693 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8182 loss: 1.8182 2022/08/03 00:10:19 - mmengine - INFO - Epoch(train) [66][380/1879] lr: 1.0000e-02 eta: 1 day, 4:19:39 time: 0.2814 data_time: 0.0214 memory: 8198 grad_norm: 5.2418 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6267 loss: 1.6267 2022/08/03 00:10:25 - mmengine - INFO - Epoch(train) [66][400/1879] lr: 1.0000e-02 eta: 1 day, 4:19:33 time: 0.2830 data_time: 0.0244 memory: 8198 grad_norm: 5.4799 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7873 loss: 1.7873 2022/08/03 00:10:30 - mmengine - INFO - Epoch(train) [66][420/1879] lr: 1.0000e-02 eta: 1 day, 4:19:27 time: 0.2825 data_time: 0.0262 memory: 8198 grad_norm: 5.2684 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6793 loss: 1.6793 2022/08/03 00:10:36 - mmengine - INFO - Epoch(train) [66][440/1879] lr: 1.0000e-02 eta: 1 day, 4:19:21 time: 0.2822 data_time: 0.0260 memory: 8198 grad_norm: 5.0369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6392 loss: 1.6392 2022/08/03 00:10:42 - mmengine - INFO - Epoch(train) [66][460/1879] lr: 1.0000e-02 eta: 1 day, 4:19:15 time: 0.2826 data_time: 0.0217 memory: 8198 grad_norm: 5.2351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8219 loss: 1.8219 2022/08/03 00:10:47 - mmengine - INFO - Epoch(train) [66][480/1879] lr: 1.0000e-02 eta: 1 day, 4:19:09 time: 0.2817 data_time: 0.0219 memory: 8198 grad_norm: 5.1540 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6783 loss: 1.6783 2022/08/03 00:10:53 - mmengine - INFO - Epoch(train) [66][500/1879] lr: 1.0000e-02 eta: 1 day, 4:19:04 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 5.0644 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3792 loss: 1.3792 2022/08/03 00:10:59 - mmengine - INFO - Epoch(train) [66][520/1879] lr: 1.0000e-02 eta: 1 day, 4:18:58 time: 0.2845 data_time: 0.0231 memory: 8198 grad_norm: 5.2028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5538 loss: 1.5538 2022/08/03 00:11:04 - mmengine - INFO - Epoch(train) [66][540/1879] lr: 1.0000e-02 eta: 1 day, 4:18:52 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 5.2066 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6657 loss: 1.6657 2022/08/03 00:11:10 - mmengine - INFO - Epoch(train) [66][560/1879] lr: 1.0000e-02 eta: 1 day, 4:18:47 time: 0.2877 data_time: 0.0278 memory: 8198 grad_norm: 5.2344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6333 loss: 1.6333 2022/08/03 00:11:16 - mmengine - INFO - Epoch(train) [66][580/1879] lr: 1.0000e-02 eta: 1 day, 4:18:41 time: 0.2817 data_time: 0.0220 memory: 8198 grad_norm: 5.1043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6729 loss: 1.6729 2022/08/03 00:11:22 - mmengine - INFO - Epoch(train) [66][600/1879] lr: 1.0000e-02 eta: 1 day, 4:18:36 time: 0.2954 data_time: 0.0245 memory: 8198 grad_norm: 5.1376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5989 loss: 1.5989 2022/08/03 00:11:27 - mmengine - INFO - Epoch(train) [66][620/1879] lr: 1.0000e-02 eta: 1 day, 4:18:30 time: 0.2833 data_time: 0.0229 memory: 8198 grad_norm: 5.3369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5446 loss: 1.5446 2022/08/03 00:11:33 - mmengine - INFO - Epoch(train) [66][640/1879] lr: 1.0000e-02 eta: 1 day, 4:18:25 time: 0.2888 data_time: 0.0205 memory: 8198 grad_norm: 5.2560 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6371 loss: 1.6371 2022/08/03 00:11:39 - mmengine - INFO - Epoch(train) [66][660/1879] lr: 1.0000e-02 eta: 1 day, 4:18:20 time: 0.2909 data_time: 0.0213 memory: 8198 grad_norm: 5.2106 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6241 loss: 1.6241 2022/08/03 00:11:45 - mmengine - INFO - Epoch(train) [66][680/1879] lr: 1.0000e-02 eta: 1 day, 4:18:15 time: 0.2985 data_time: 0.0249 memory: 8198 grad_norm: 5.2270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6358 loss: 1.6358 2022/08/03 00:11:51 - mmengine - INFO - Epoch(train) [66][700/1879] lr: 1.0000e-02 eta: 1 day, 4:18:09 time: 0.2779 data_time: 0.0237 memory: 8198 grad_norm: 5.0859 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6267 loss: 1.6267 2022/08/03 00:11:56 - mmengine - INFO - Epoch(train) [66][720/1879] lr: 1.0000e-02 eta: 1 day, 4:18:03 time: 0.2820 data_time: 0.0253 memory: 8198 grad_norm: 5.2175 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9997 loss: 1.9997 2022/08/03 00:12:02 - mmengine - INFO - Epoch(train) [66][740/1879] lr: 1.0000e-02 eta: 1 day, 4:17:57 time: 0.2883 data_time: 0.0246 memory: 8198 grad_norm: 5.3255 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7503 loss: 1.7503 2022/08/03 00:12:08 - mmengine - INFO - Epoch(train) [66][760/1879] lr: 1.0000e-02 eta: 1 day, 4:17:51 time: 0.2802 data_time: 0.0211 memory: 8198 grad_norm: 5.1751 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6552 loss: 1.6552 2022/08/03 00:12:13 - mmengine - INFO - Epoch(train) [66][780/1879] lr: 1.0000e-02 eta: 1 day, 4:17:46 time: 0.2877 data_time: 0.0251 memory: 8198 grad_norm: 5.2176 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6487 loss: 1.6487 2022/08/03 00:12:19 - mmengine - INFO - Epoch(train) [66][800/1879] lr: 1.0000e-02 eta: 1 day, 4:17:40 time: 0.2863 data_time: 0.0228 memory: 8198 grad_norm: 5.1958 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8529 loss: 1.8529 2022/08/03 00:12:25 - mmengine - INFO - Epoch(train) [66][820/1879] lr: 1.0000e-02 eta: 1 day, 4:17:35 time: 0.2968 data_time: 0.0220 memory: 8198 grad_norm: 5.2814 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9886 loss: 1.9886 2022/08/03 00:12:31 - mmengine - INFO - Epoch(train) [66][840/1879] lr: 1.0000e-02 eta: 1 day, 4:17:29 time: 0.2783 data_time: 0.0189 memory: 8198 grad_norm: 5.3121 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0185 loss: 2.0185 2022/08/03 00:12:36 - mmengine - INFO - Epoch(train) [66][860/1879] lr: 1.0000e-02 eta: 1 day, 4:17:24 time: 0.2838 data_time: 0.0278 memory: 8198 grad_norm: 5.1549 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6589 loss: 1.6589 2022/08/03 00:12:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:12:42 - mmengine - INFO - Epoch(train) [66][880/1879] lr: 1.0000e-02 eta: 1 day, 4:17:18 time: 0.2884 data_time: 0.0201 memory: 8198 grad_norm: 5.3029 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5576 loss: 1.5576 2022/08/03 00:12:48 - mmengine - INFO - Epoch(train) [66][900/1879] lr: 1.0000e-02 eta: 1 day, 4:17:12 time: 0.2812 data_time: 0.0229 memory: 8198 grad_norm: 5.1694 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8127 loss: 1.8127 2022/08/03 00:12:53 - mmengine - INFO - Epoch(train) [66][920/1879] lr: 1.0000e-02 eta: 1 day, 4:17:06 time: 0.2826 data_time: 0.0206 memory: 8198 grad_norm: 5.2995 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9722 loss: 1.9722 2022/08/03 00:12:59 - mmengine - INFO - Epoch(train) [66][940/1879] lr: 1.0000e-02 eta: 1 day, 4:17:01 time: 0.2857 data_time: 0.0217 memory: 8198 grad_norm: 5.3125 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8671 loss: 1.8671 2022/08/03 00:13:05 - mmengine - INFO - Epoch(train) [66][960/1879] lr: 1.0000e-02 eta: 1 day, 4:16:55 time: 0.2898 data_time: 0.0199 memory: 8198 grad_norm: 5.2982 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8235 loss: 1.8235 2022/08/03 00:13:11 - mmengine - INFO - Epoch(train) [66][980/1879] lr: 1.0000e-02 eta: 1 day, 4:16:50 time: 0.2898 data_time: 0.0249 memory: 8198 grad_norm: 5.1041 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6125 loss: 1.6125 2022/08/03 00:13:16 - mmengine - INFO - Epoch(train) [66][1000/1879] lr: 1.0000e-02 eta: 1 day, 4:16:44 time: 0.2786 data_time: 0.0176 memory: 8198 grad_norm: 5.1298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8460 loss: 1.8460 2022/08/03 00:13:22 - mmengine - INFO - Epoch(train) [66][1020/1879] lr: 1.0000e-02 eta: 1 day, 4:16:38 time: 0.2827 data_time: 0.0250 memory: 8198 grad_norm: 5.3604 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6851 loss: 1.6851 2022/08/03 00:13:28 - mmengine - INFO - Epoch(train) [66][1040/1879] lr: 1.0000e-02 eta: 1 day, 4:16:32 time: 0.2819 data_time: 0.0234 memory: 8198 grad_norm: 5.1747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7461 loss: 1.7461 2022/08/03 00:13:33 - mmengine - INFO - Epoch(train) [66][1060/1879] lr: 1.0000e-02 eta: 1 day, 4:16:27 time: 0.2860 data_time: 0.0225 memory: 8198 grad_norm: 5.1490 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8099 loss: 1.8099 2022/08/03 00:13:39 - mmengine - INFO - Epoch(train) [66][1080/1879] lr: 1.0000e-02 eta: 1 day, 4:16:21 time: 0.2809 data_time: 0.0202 memory: 8198 grad_norm: 5.3529 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8750 loss: 1.8750 2022/08/03 00:13:45 - mmengine - INFO - Epoch(train) [66][1100/1879] lr: 1.0000e-02 eta: 1 day, 4:16:15 time: 0.2870 data_time: 0.0279 memory: 8198 grad_norm: 5.2763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6317 loss: 1.6317 2022/08/03 00:13:50 - mmengine - INFO - Epoch(train) [66][1120/1879] lr: 1.0000e-02 eta: 1 day, 4:16:10 time: 0.2842 data_time: 0.0228 memory: 8198 grad_norm: 5.2924 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7183 loss: 1.7183 2022/08/03 00:13:56 - mmengine - INFO - Epoch(train) [66][1140/1879] lr: 1.0000e-02 eta: 1 day, 4:16:04 time: 0.2806 data_time: 0.0239 memory: 8198 grad_norm: 5.2188 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8057 loss: 1.8057 2022/08/03 00:14:02 - mmengine - INFO - Epoch(train) [66][1160/1879] lr: 1.0000e-02 eta: 1 day, 4:15:58 time: 0.2867 data_time: 0.0213 memory: 8198 grad_norm: 5.3182 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6812 loss: 1.6812 2022/08/03 00:14:07 - mmengine - INFO - Epoch(train) [66][1180/1879] lr: 1.0000e-02 eta: 1 day, 4:15:52 time: 0.2816 data_time: 0.0269 memory: 8198 grad_norm: 5.1424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6616 loss: 1.6616 2022/08/03 00:14:13 - mmengine - INFO - Epoch(train) [66][1200/1879] lr: 1.0000e-02 eta: 1 day, 4:15:47 time: 0.2861 data_time: 0.0268 memory: 8198 grad_norm: 5.1624 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7022 loss: 1.7022 2022/08/03 00:14:19 - mmengine - INFO - Epoch(train) [66][1220/1879] lr: 1.0000e-02 eta: 1 day, 4:15:41 time: 0.2823 data_time: 0.0235 memory: 8198 grad_norm: 5.3500 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6218 loss: 1.6218 2022/08/03 00:14:25 - mmengine - INFO - Epoch(train) [66][1240/1879] lr: 1.0000e-02 eta: 1 day, 4:15:36 time: 0.2995 data_time: 0.0210 memory: 8198 grad_norm: 5.2072 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7875 loss: 1.7875 2022/08/03 00:14:31 - mmengine - INFO - Epoch(train) [66][1260/1879] lr: 1.0000e-02 eta: 1 day, 4:15:31 time: 0.2910 data_time: 0.0249 memory: 8198 grad_norm: 5.2679 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4367 loss: 1.4367 2022/08/03 00:14:36 - mmengine - INFO - Epoch(train) [66][1280/1879] lr: 1.0000e-02 eta: 1 day, 4:15:25 time: 0.2830 data_time: 0.0193 memory: 8198 grad_norm: 5.3125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5496 loss: 1.5496 2022/08/03 00:14:42 - mmengine - INFO - Epoch(train) [66][1300/1879] lr: 1.0000e-02 eta: 1 day, 4:15:20 time: 0.2929 data_time: 0.0232 memory: 8198 grad_norm: 5.2666 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7861 loss: 1.7861 2022/08/03 00:14:48 - mmengine - INFO - Epoch(train) [66][1320/1879] lr: 1.0000e-02 eta: 1 day, 4:15:14 time: 0.2803 data_time: 0.0238 memory: 8198 grad_norm: 5.2092 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6173 loss: 1.6173 2022/08/03 00:14:54 - mmengine - INFO - Epoch(train) [66][1340/1879] lr: 1.0000e-02 eta: 1 day, 4:15:08 time: 0.2831 data_time: 0.0240 memory: 8198 grad_norm: 5.2746 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7205 loss: 1.7205 2022/08/03 00:14:59 - mmengine - INFO - Epoch(train) [66][1360/1879] lr: 1.0000e-02 eta: 1 day, 4:15:03 time: 0.2959 data_time: 0.0214 memory: 8198 grad_norm: 5.1004 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7002 loss: 1.7002 2022/08/03 00:15:05 - mmengine - INFO - Epoch(train) [66][1380/1879] lr: 1.0000e-02 eta: 1 day, 4:14:57 time: 0.2851 data_time: 0.0239 memory: 8198 grad_norm: 5.2493 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8598 loss: 1.8598 2022/08/03 00:15:11 - mmengine - INFO - Epoch(train) [66][1400/1879] lr: 1.0000e-02 eta: 1 day, 4:14:52 time: 0.2974 data_time: 0.0205 memory: 8198 grad_norm: 5.1683 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6159 loss: 1.6159 2022/08/03 00:15:17 - mmengine - INFO - Epoch(train) [66][1420/1879] lr: 1.0000e-02 eta: 1 day, 4:14:47 time: 0.2950 data_time: 0.0203 memory: 8198 grad_norm: 5.1672 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8806 loss: 1.8806 2022/08/03 00:15:23 - mmengine - INFO - Epoch(train) [66][1440/1879] lr: 1.0000e-02 eta: 1 day, 4:14:42 time: 0.2820 data_time: 0.0206 memory: 8198 grad_norm: 5.2170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8325 loss: 1.8325 2022/08/03 00:15:28 - mmengine - INFO - Epoch(train) [66][1460/1879] lr: 1.0000e-02 eta: 1 day, 4:14:35 time: 0.2785 data_time: 0.0194 memory: 8198 grad_norm: 5.3843 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8661 loss: 1.8661 2022/08/03 00:15:34 - mmengine - INFO - Epoch(train) [66][1480/1879] lr: 1.0000e-02 eta: 1 day, 4:14:30 time: 0.2805 data_time: 0.0219 memory: 8198 grad_norm: 5.2548 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7406 loss: 1.7406 2022/08/03 00:15:40 - mmengine - INFO - Epoch(train) [66][1500/1879] lr: 1.0000e-02 eta: 1 day, 4:14:24 time: 0.2893 data_time: 0.0232 memory: 8198 grad_norm: 5.3951 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7218 loss: 1.7218 2022/08/03 00:15:45 - mmengine - INFO - Epoch(train) [66][1520/1879] lr: 1.0000e-02 eta: 1 day, 4:14:18 time: 0.2823 data_time: 0.0241 memory: 8198 grad_norm: 5.2484 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7777 loss: 1.7777 2022/08/03 00:15:51 - mmengine - INFO - Epoch(train) [66][1540/1879] lr: 1.0000e-02 eta: 1 day, 4:14:13 time: 0.2946 data_time: 0.0217 memory: 8198 grad_norm: 5.3161 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6642 loss: 1.6642 2022/08/03 00:15:57 - mmengine - INFO - Epoch(train) [66][1560/1879] lr: 1.0000e-02 eta: 1 day, 4:14:07 time: 0.2798 data_time: 0.0210 memory: 8198 grad_norm: 5.0075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5931 loss: 1.5931 2022/08/03 00:16:03 - mmengine - INFO - Epoch(train) [66][1580/1879] lr: 1.0000e-02 eta: 1 day, 4:14:02 time: 0.2858 data_time: 0.0217 memory: 8198 grad_norm: 5.3484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7291 loss: 1.7291 2022/08/03 00:16:08 - mmengine - INFO - Epoch(train) [66][1600/1879] lr: 1.0000e-02 eta: 1 day, 4:13:56 time: 0.2849 data_time: 0.0208 memory: 8198 grad_norm: 5.3009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5086 loss: 1.5086 2022/08/03 00:16:14 - mmengine - INFO - Epoch(train) [66][1620/1879] lr: 1.0000e-02 eta: 1 day, 4:13:50 time: 0.2846 data_time: 0.0250 memory: 8198 grad_norm: 5.1465 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4552 loss: 1.4552 2022/08/03 00:16:20 - mmengine - INFO - Epoch(train) [66][1640/1879] lr: 1.0000e-02 eta: 1 day, 4:13:45 time: 0.2857 data_time: 0.0277 memory: 8198 grad_norm: 5.2188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7866 loss: 1.7866 2022/08/03 00:16:25 - mmengine - INFO - Epoch(train) [66][1660/1879] lr: 1.0000e-02 eta: 1 day, 4:13:39 time: 0.2808 data_time: 0.0226 memory: 8198 grad_norm: 5.1285 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7981 loss: 1.7981 2022/08/03 00:16:31 - mmengine - INFO - Epoch(train) [66][1680/1879] lr: 1.0000e-02 eta: 1 day, 4:13:33 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 5.1924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6348 loss: 1.6348 2022/08/03 00:16:37 - mmengine - INFO - Epoch(train) [66][1700/1879] lr: 1.0000e-02 eta: 1 day, 4:13:27 time: 0.2828 data_time: 0.0227 memory: 8198 grad_norm: 5.2251 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7107 loss: 1.7107 2022/08/03 00:16:42 - mmengine - INFO - Epoch(train) [66][1720/1879] lr: 1.0000e-02 eta: 1 day, 4:13:22 time: 0.2849 data_time: 0.0222 memory: 8198 grad_norm: 5.3235 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6907 loss: 1.6907 2022/08/03 00:16:48 - mmengine - INFO - Epoch(train) [66][1740/1879] lr: 1.0000e-02 eta: 1 day, 4:13:16 time: 0.2913 data_time: 0.0233 memory: 8198 grad_norm: 5.4013 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8364 loss: 1.8364 2022/08/03 00:16:54 - mmengine - INFO - Epoch(train) [66][1760/1879] lr: 1.0000e-02 eta: 1 day, 4:13:11 time: 0.2817 data_time: 0.0235 memory: 8198 grad_norm: 5.1201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6640 loss: 1.6640 2022/08/03 00:17:00 - mmengine - INFO - Epoch(train) [66][1780/1879] lr: 1.0000e-02 eta: 1 day, 4:13:05 time: 0.2847 data_time: 0.0226 memory: 8198 grad_norm: 5.1938 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7757 loss: 1.7757 2022/08/03 00:17:05 - mmengine - INFO - Epoch(train) [66][1800/1879] lr: 1.0000e-02 eta: 1 day, 4:12:59 time: 0.2827 data_time: 0.0240 memory: 8198 grad_norm: 5.0666 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6458 loss: 1.6458 2022/08/03 00:17:11 - mmengine - INFO - Epoch(train) [66][1820/1879] lr: 1.0000e-02 eta: 1 day, 4:12:53 time: 0.2826 data_time: 0.0251 memory: 8198 grad_norm: 5.2820 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9412 loss: 1.9412 2022/08/03 00:17:17 - mmengine - INFO - Epoch(train) [66][1840/1879] lr: 1.0000e-02 eta: 1 day, 4:12:48 time: 0.2850 data_time: 0.0254 memory: 8198 grad_norm: 5.2168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4736 loss: 1.4736 2022/08/03 00:17:23 - mmengine - INFO - Epoch(train) [66][1860/1879] lr: 1.0000e-02 eta: 1 day, 4:12:42 time: 0.2903 data_time: 0.0313 memory: 8198 grad_norm: 5.3309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6262 loss: 1.6262 2022/08/03 00:17:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:17:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:17:27 - mmengine - INFO - Epoch(train) [66][1879/1879] lr: 1.0000e-02 eta: 1 day, 4:12:42 time: 0.2534 data_time: 0.0139 memory: 8198 grad_norm: 5.4598 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.8801 loss: 1.8801 2022/08/03 00:17:36 - mmengine - INFO - Epoch(train) [67][20/1879] lr: 1.0000e-02 eta: 1 day, 4:12:23 time: 0.4051 data_time: 0.1103 memory: 8198 grad_norm: 5.1015 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8502 loss: 1.8502 2022/08/03 00:17:41 - mmengine - INFO - Epoch(train) [67][40/1879] lr: 1.0000e-02 eta: 1 day, 4:12:17 time: 0.2924 data_time: 0.0264 memory: 8198 grad_norm: 5.2260 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7304 loss: 1.7304 2022/08/03 00:17:47 - mmengine - INFO - Epoch(train) [67][60/1879] lr: 1.0000e-02 eta: 1 day, 4:12:12 time: 0.2891 data_time: 0.0238 memory: 8198 grad_norm: 5.2353 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8283 loss: 1.8283 2022/08/03 00:17:53 - mmengine - INFO - Epoch(train) [67][80/1879] lr: 1.0000e-02 eta: 1 day, 4:12:07 time: 0.2891 data_time: 0.0291 memory: 8198 grad_norm: 5.1240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6582 loss: 1.6582 2022/08/03 00:17:59 - mmengine - INFO - Epoch(train) [67][100/1879] lr: 1.0000e-02 eta: 1 day, 4:12:01 time: 0.2873 data_time: 0.0277 memory: 8198 grad_norm: 5.1809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6444 loss: 1.6444 2022/08/03 00:18:04 - mmengine - INFO - Epoch(train) [67][120/1879] lr: 1.0000e-02 eta: 1 day, 4:11:55 time: 0.2800 data_time: 0.0214 memory: 8198 grad_norm: 5.1238 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6409 loss: 1.6409 2022/08/03 00:18:10 - mmengine - INFO - Epoch(train) [67][140/1879] lr: 1.0000e-02 eta: 1 day, 4:11:49 time: 0.2828 data_time: 0.0219 memory: 8198 grad_norm: 5.1116 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5295 loss: 1.5295 2022/08/03 00:18:16 - mmengine - INFO - Epoch(train) [67][160/1879] lr: 1.0000e-02 eta: 1 day, 4:11:44 time: 0.2828 data_time: 0.0250 memory: 8198 grad_norm: 5.1349 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6128 loss: 1.6128 2022/08/03 00:18:22 - mmengine - INFO - Epoch(train) [67][180/1879] lr: 1.0000e-02 eta: 1 day, 4:11:38 time: 0.2919 data_time: 0.0197 memory: 8198 grad_norm: 5.1979 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5061 loss: 1.5061 2022/08/03 00:18:27 - mmengine - INFO - Epoch(train) [67][200/1879] lr: 1.0000e-02 eta: 1 day, 4:11:33 time: 0.2835 data_time: 0.0205 memory: 8198 grad_norm: 5.1171 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5117 loss: 1.5117 2022/08/03 00:18:33 - mmengine - INFO - Epoch(train) [67][220/1879] lr: 1.0000e-02 eta: 1 day, 4:11:27 time: 0.2820 data_time: 0.0237 memory: 8198 grad_norm: 5.2903 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5894 loss: 1.5894 2022/08/03 00:18:39 - mmengine - INFO - Epoch(train) [67][240/1879] lr: 1.0000e-02 eta: 1 day, 4:11:21 time: 0.2833 data_time: 0.0193 memory: 8198 grad_norm: 5.3080 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7370 loss: 1.7370 2022/08/03 00:18:44 - mmengine - INFO - Epoch(train) [67][260/1879] lr: 1.0000e-02 eta: 1 day, 4:11:16 time: 0.2922 data_time: 0.0313 memory: 8198 grad_norm: 5.1362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7397 loss: 1.7397 2022/08/03 00:18:50 - mmengine - INFO - Epoch(train) [67][280/1879] lr: 1.0000e-02 eta: 1 day, 4:11:10 time: 0.2819 data_time: 0.0204 memory: 8198 grad_norm: 5.1991 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7249 loss: 1.7249 2022/08/03 00:18:56 - mmengine - INFO - Epoch(train) [67][300/1879] lr: 1.0000e-02 eta: 1 day, 4:11:04 time: 0.2836 data_time: 0.0242 memory: 8198 grad_norm: 5.2486 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7263 loss: 1.7263 2022/08/03 00:19:01 - mmengine - INFO - Epoch(train) [67][320/1879] lr: 1.0000e-02 eta: 1 day, 4:10:58 time: 0.2850 data_time: 0.0227 memory: 8198 grad_norm: 5.0886 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7428 loss: 1.7428 2022/08/03 00:19:07 - mmengine - INFO - Epoch(train) [67][340/1879] lr: 1.0000e-02 eta: 1 day, 4:10:53 time: 0.2802 data_time: 0.0230 memory: 8198 grad_norm: 5.1213 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7337 loss: 1.7337 2022/08/03 00:19:13 - mmengine - INFO - Epoch(train) [67][360/1879] lr: 1.0000e-02 eta: 1 day, 4:10:47 time: 0.2836 data_time: 0.0203 memory: 8198 grad_norm: 5.0713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5224 loss: 1.5224 2022/08/03 00:19:19 - mmengine - INFO - Epoch(train) [67][380/1879] lr: 1.0000e-02 eta: 1 day, 4:10:42 time: 0.2911 data_time: 0.0268 memory: 8198 grad_norm: 5.0722 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7269 loss: 1.7269 2022/08/03 00:19:24 - mmengine - INFO - Epoch(train) [67][400/1879] lr: 1.0000e-02 eta: 1 day, 4:10:36 time: 0.2943 data_time: 0.0216 memory: 8198 grad_norm: 5.2815 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8459 loss: 1.8459 2022/08/03 00:19:30 - mmengine - INFO - Epoch(train) [67][420/1879] lr: 1.0000e-02 eta: 1 day, 4:10:31 time: 0.2960 data_time: 0.0383 memory: 8198 grad_norm: 5.2015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7034 loss: 1.7034 2022/08/03 00:19:36 - mmengine - INFO - Epoch(train) [67][440/1879] lr: 1.0000e-02 eta: 1 day, 4:10:26 time: 0.2823 data_time: 0.0224 memory: 8198 grad_norm: 5.2548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8134 loss: 1.8134 2022/08/03 00:19:42 - mmengine - INFO - Epoch(train) [67][460/1879] lr: 1.0000e-02 eta: 1 day, 4:10:20 time: 0.2890 data_time: 0.0235 memory: 8198 grad_norm: 5.2572 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6569 loss: 1.6569 2022/08/03 00:19:47 - mmengine - INFO - Epoch(train) [67][480/1879] lr: 1.0000e-02 eta: 1 day, 4:10:14 time: 0.2811 data_time: 0.0228 memory: 8198 grad_norm: 5.3239 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6505 loss: 1.6505 2022/08/03 00:19:53 - mmengine - INFO - Epoch(train) [67][500/1879] lr: 1.0000e-02 eta: 1 day, 4:10:09 time: 0.2841 data_time: 0.0236 memory: 8198 grad_norm: 5.1800 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6526 loss: 1.6526 2022/08/03 00:19:59 - mmengine - INFO - Epoch(train) [67][520/1879] lr: 1.0000e-02 eta: 1 day, 4:10:03 time: 0.2821 data_time: 0.0219 memory: 8198 grad_norm: 5.1138 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/08/03 00:20:05 - mmengine - INFO - Epoch(train) [67][540/1879] lr: 1.0000e-02 eta: 1 day, 4:09:58 time: 0.2955 data_time: 0.0223 memory: 8198 grad_norm: 5.1917 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6920 loss: 1.6920 2022/08/03 00:20:10 - mmengine - INFO - Epoch(train) [67][560/1879] lr: 1.0000e-02 eta: 1 day, 4:09:52 time: 0.2826 data_time: 0.0232 memory: 8198 grad_norm: 5.1926 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8860 loss: 1.8860 2022/08/03 00:20:16 - mmengine - INFO - Epoch(train) [67][580/1879] lr: 1.0000e-02 eta: 1 day, 4:09:46 time: 0.2851 data_time: 0.0198 memory: 8198 grad_norm: 5.4130 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7337 loss: 1.7337 2022/08/03 00:20:22 - mmengine - INFO - Epoch(train) [67][600/1879] lr: 1.0000e-02 eta: 1 day, 4:09:41 time: 0.2932 data_time: 0.0224 memory: 8198 grad_norm: 5.2224 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6784 loss: 1.6784 2022/08/03 00:20:28 - mmengine - INFO - Epoch(train) [67][620/1879] lr: 1.0000e-02 eta: 1 day, 4:09:35 time: 0.2813 data_time: 0.0226 memory: 8198 grad_norm: 5.2526 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6654 loss: 1.6654 2022/08/03 00:20:33 - mmengine - INFO - Epoch(train) [67][640/1879] lr: 1.0000e-02 eta: 1 day, 4:09:29 time: 0.2841 data_time: 0.0228 memory: 8198 grad_norm: 5.3976 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7577 loss: 1.7577 2022/08/03 00:20:39 - mmengine - INFO - Epoch(train) [67][660/1879] lr: 1.0000e-02 eta: 1 day, 4:09:24 time: 0.2826 data_time: 0.0246 memory: 8198 grad_norm: 5.1644 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6905 loss: 1.6905 2022/08/03 00:20:45 - mmengine - INFO - Epoch(train) [67][680/1879] lr: 1.0000e-02 eta: 1 day, 4:09:18 time: 0.2881 data_time: 0.0227 memory: 8198 grad_norm: 5.1326 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8014 loss: 1.8014 2022/08/03 00:20:50 - mmengine - INFO - Epoch(train) [67][700/1879] lr: 1.0000e-02 eta: 1 day, 4:09:13 time: 0.2850 data_time: 0.0282 memory: 8198 grad_norm: 5.2047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9668 loss: 1.9668 2022/08/03 00:20:56 - mmengine - INFO - Epoch(train) [67][720/1879] lr: 1.0000e-02 eta: 1 day, 4:09:07 time: 0.2880 data_time: 0.0220 memory: 8198 grad_norm: 5.0204 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5854 loss: 1.5854 2022/08/03 00:21:02 - mmengine - INFO - Epoch(train) [67][740/1879] lr: 1.0000e-02 eta: 1 day, 4:09:02 time: 0.2889 data_time: 0.0203 memory: 8198 grad_norm: 5.0866 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7531 loss: 1.7531 2022/08/03 00:21:08 - mmengine - INFO - Epoch(train) [67][760/1879] lr: 1.0000e-02 eta: 1 day, 4:08:56 time: 0.2825 data_time: 0.0187 memory: 8198 grad_norm: 5.3101 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7095 loss: 1.7095 2022/08/03 00:21:13 - mmengine - INFO - Epoch(train) [67][780/1879] lr: 1.0000e-02 eta: 1 day, 4:08:50 time: 0.2873 data_time: 0.0279 memory: 8198 grad_norm: 5.2222 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6720 loss: 1.6720 2022/08/03 00:21:19 - mmengine - INFO - Epoch(train) [67][800/1879] lr: 1.0000e-02 eta: 1 day, 4:08:44 time: 0.2793 data_time: 0.0159 memory: 8198 grad_norm: 5.2767 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5908 loss: 1.5908 2022/08/03 00:21:25 - mmengine - INFO - Epoch(train) [67][820/1879] lr: 1.0000e-02 eta: 1 day, 4:08:39 time: 0.2881 data_time: 0.0264 memory: 8198 grad_norm: 5.2950 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6669 loss: 1.6669 2022/08/03 00:21:31 - mmengine - INFO - Epoch(train) [67][840/1879] lr: 1.0000e-02 eta: 1 day, 4:08:33 time: 0.2827 data_time: 0.0233 memory: 8198 grad_norm: 5.2332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7027 loss: 1.7027 2022/08/03 00:21:36 - mmengine - INFO - Epoch(train) [67][860/1879] lr: 1.0000e-02 eta: 1 day, 4:08:27 time: 0.2827 data_time: 0.0254 memory: 8198 grad_norm: 5.1393 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7375 loss: 1.7375 2022/08/03 00:21:42 - mmengine - INFO - Epoch(train) [67][880/1879] lr: 1.0000e-02 eta: 1 day, 4:08:22 time: 0.2944 data_time: 0.0207 memory: 8198 grad_norm: 5.3550 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7414 loss: 1.7414 2022/08/03 00:21:48 - mmengine - INFO - Epoch(train) [67][900/1879] lr: 1.0000e-02 eta: 1 day, 4:08:16 time: 0.2843 data_time: 0.0225 memory: 8198 grad_norm: 5.1932 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8419 loss: 1.8419 2022/08/03 00:21:53 - mmengine - INFO - Epoch(train) [67][920/1879] lr: 1.0000e-02 eta: 1 day, 4:08:10 time: 0.2793 data_time: 0.0232 memory: 8198 grad_norm: 5.1879 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6826 loss: 1.6826 2022/08/03 00:21:59 - mmengine - INFO - Epoch(train) [67][940/1879] lr: 1.0000e-02 eta: 1 day, 4:08:05 time: 0.2845 data_time: 0.0235 memory: 8198 grad_norm: 5.3889 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6236 loss: 1.6236 2022/08/03 00:22:05 - mmengine - INFO - Epoch(train) [67][960/1879] lr: 1.0000e-02 eta: 1 day, 4:07:59 time: 0.2902 data_time: 0.0203 memory: 8198 grad_norm: 5.3364 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8144 loss: 1.8144 2022/08/03 00:22:11 - mmengine - INFO - Epoch(train) [67][980/1879] lr: 1.0000e-02 eta: 1 day, 4:07:54 time: 0.2819 data_time: 0.0218 memory: 8198 grad_norm: 5.2101 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7090 loss: 1.7090 2022/08/03 00:22:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:22:16 - mmengine - INFO - Epoch(train) [67][1000/1879] lr: 1.0000e-02 eta: 1 day, 4:07:48 time: 0.2833 data_time: 0.0206 memory: 8198 grad_norm: 5.1842 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8035 loss: 1.8035 2022/08/03 00:22:22 - mmengine - INFO - Epoch(train) [67][1020/1879] lr: 1.0000e-02 eta: 1 day, 4:07:42 time: 0.2863 data_time: 0.0236 memory: 8198 grad_norm: 5.0681 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4777 loss: 1.4777 2022/08/03 00:22:28 - mmengine - INFO - Epoch(train) [67][1040/1879] lr: 1.0000e-02 eta: 1 day, 4:07:37 time: 0.2861 data_time: 0.0231 memory: 8198 grad_norm: 5.3492 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7438 loss: 1.7438 2022/08/03 00:22:33 - mmengine - INFO - Epoch(train) [67][1060/1879] lr: 1.0000e-02 eta: 1 day, 4:07:31 time: 0.2833 data_time: 0.0211 memory: 8198 grad_norm: 5.0703 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5686 loss: 1.5686 2022/08/03 00:22:39 - mmengine - INFO - Epoch(train) [67][1080/1879] lr: 1.0000e-02 eta: 1 day, 4:07:25 time: 0.2806 data_time: 0.0229 memory: 8198 grad_norm: 5.1188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7867 loss: 1.7867 2022/08/03 00:22:45 - mmengine - INFO - Epoch(train) [67][1100/1879] lr: 1.0000e-02 eta: 1 day, 4:07:19 time: 0.2862 data_time: 0.0245 memory: 8198 grad_norm: 5.2105 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6850 loss: 1.6850 2022/08/03 00:22:50 - mmengine - INFO - Epoch(train) [67][1120/1879] lr: 1.0000e-02 eta: 1 day, 4:07:14 time: 0.2833 data_time: 0.0273 memory: 8198 grad_norm: 5.3407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6441 loss: 1.6441 2022/08/03 00:22:56 - mmengine - INFO - Epoch(train) [67][1140/1879] lr: 1.0000e-02 eta: 1 day, 4:07:08 time: 0.2826 data_time: 0.0258 memory: 8198 grad_norm: 5.2747 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6316 loss: 1.6316 2022/08/03 00:23:02 - mmengine - INFO - Epoch(train) [67][1160/1879] lr: 1.0000e-02 eta: 1 day, 4:07:02 time: 0.2900 data_time: 0.0236 memory: 8198 grad_norm: 5.3762 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5402 loss: 1.5402 2022/08/03 00:23:07 - mmengine - INFO - Epoch(train) [67][1180/1879] lr: 1.0000e-02 eta: 1 day, 4:06:56 time: 0.2795 data_time: 0.0242 memory: 8198 grad_norm: 5.2768 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6662 loss: 1.6662 2022/08/03 00:23:13 - mmengine - INFO - Epoch(train) [67][1200/1879] lr: 1.0000e-02 eta: 1 day, 4:06:51 time: 0.2826 data_time: 0.0212 memory: 8198 grad_norm: 5.2996 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4710 loss: 1.4710 2022/08/03 00:23:19 - mmengine - INFO - Epoch(train) [67][1220/1879] lr: 1.0000e-02 eta: 1 day, 4:06:45 time: 0.2812 data_time: 0.0238 memory: 8198 grad_norm: 5.3059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5881 loss: 1.5881 2022/08/03 00:23:24 - mmengine - INFO - Epoch(train) [67][1240/1879] lr: 1.0000e-02 eta: 1 day, 4:06:39 time: 0.2848 data_time: 0.0242 memory: 8198 grad_norm: 5.3249 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8864 loss: 1.8864 2022/08/03 00:23:30 - mmengine - INFO - Epoch(train) [67][1260/1879] lr: 1.0000e-02 eta: 1 day, 4:06:33 time: 0.2845 data_time: 0.0253 memory: 8198 grad_norm: 5.1789 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7493 loss: 1.7493 2022/08/03 00:23:36 - mmengine - INFO - Epoch(train) [67][1280/1879] lr: 1.0000e-02 eta: 1 day, 4:06:27 time: 0.2805 data_time: 0.0232 memory: 8198 grad_norm: 5.2126 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7994 loss: 1.7994 2022/08/03 00:23:42 - mmengine - INFO - Epoch(train) [67][1300/1879] lr: 1.0000e-02 eta: 1 day, 4:06:22 time: 0.2887 data_time: 0.0261 memory: 8198 grad_norm: 5.2011 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5814 loss: 1.5814 2022/08/03 00:23:47 - mmengine - INFO - Epoch(train) [67][1320/1879] lr: 1.0000e-02 eta: 1 day, 4:06:16 time: 0.2836 data_time: 0.0197 memory: 8198 grad_norm: 5.1817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7575 loss: 1.7575 2022/08/03 00:23:53 - mmengine - INFO - Epoch(train) [67][1340/1879] lr: 1.0000e-02 eta: 1 day, 4:06:11 time: 0.2903 data_time: 0.0259 memory: 8198 grad_norm: 5.2353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7930 loss: 1.7930 2022/08/03 00:23:59 - mmengine - INFO - Epoch(train) [67][1360/1879] lr: 1.0000e-02 eta: 1 day, 4:06:05 time: 0.2830 data_time: 0.0210 memory: 8198 grad_norm: 4.9605 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6700 loss: 1.6700 2022/08/03 00:24:04 - mmengine - INFO - Epoch(train) [67][1380/1879] lr: 1.0000e-02 eta: 1 day, 4:05:59 time: 0.2824 data_time: 0.0223 memory: 8198 grad_norm: 5.1820 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/03 00:24:10 - mmengine - INFO - Epoch(train) [67][1400/1879] lr: 1.0000e-02 eta: 1 day, 4:05:54 time: 0.2859 data_time: 0.0260 memory: 8198 grad_norm: 5.2296 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5488 loss: 1.5488 2022/08/03 00:24:16 - mmengine - INFO - Epoch(train) [67][1420/1879] lr: 1.0000e-02 eta: 1 day, 4:05:48 time: 0.2815 data_time: 0.0249 memory: 8198 grad_norm: 5.2486 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7215 loss: 1.7215 2022/08/03 00:24:21 - mmengine - INFO - Epoch(train) [67][1440/1879] lr: 1.0000e-02 eta: 1 day, 4:05:42 time: 0.2799 data_time: 0.0186 memory: 8198 grad_norm: 5.2831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8200 loss: 1.8200 2022/08/03 00:24:27 - mmengine - INFO - Epoch(train) [67][1460/1879] lr: 1.0000e-02 eta: 1 day, 4:05:36 time: 0.2822 data_time: 0.0228 memory: 8198 grad_norm: 5.2775 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5866 loss: 1.5866 2022/08/03 00:24:33 - mmengine - INFO - Epoch(train) [67][1480/1879] lr: 1.0000e-02 eta: 1 day, 4:05:32 time: 0.3031 data_time: 0.0208 memory: 8198 grad_norm: 5.1559 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8518 loss: 1.8518 2022/08/03 00:24:39 - mmengine - INFO - Epoch(train) [67][1500/1879] lr: 1.0000e-02 eta: 1 day, 4:05:26 time: 0.2840 data_time: 0.0246 memory: 8198 grad_norm: 5.1862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8981 loss: 1.8981 2022/08/03 00:24:45 - mmengine - INFO - Epoch(train) [67][1520/1879] lr: 1.0000e-02 eta: 1 day, 4:05:20 time: 0.2881 data_time: 0.0344 memory: 8198 grad_norm: 5.2572 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5795 loss: 1.5795 2022/08/03 00:24:50 - mmengine - INFO - Epoch(train) [67][1540/1879] lr: 1.0000e-02 eta: 1 day, 4:05:14 time: 0.2801 data_time: 0.0228 memory: 8198 grad_norm: 5.3414 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7292 loss: 1.7292 2022/08/03 00:24:56 - mmengine - INFO - Epoch(train) [67][1560/1879] lr: 1.0000e-02 eta: 1 day, 4:05:09 time: 0.2811 data_time: 0.0197 memory: 8198 grad_norm: 5.1971 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5361 loss: 1.5361 2022/08/03 00:25:02 - mmengine - INFO - Epoch(train) [67][1580/1879] lr: 1.0000e-02 eta: 1 day, 4:05:03 time: 0.2840 data_time: 0.0185 memory: 8198 grad_norm: 5.3306 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7907 loss: 1.7907 2022/08/03 00:25:07 - mmengine - INFO - Epoch(train) [67][1600/1879] lr: 1.0000e-02 eta: 1 day, 4:04:58 time: 0.2946 data_time: 0.0230 memory: 8198 grad_norm: 5.3918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6515 loss: 1.6515 2022/08/03 00:25:13 - mmengine - INFO - Epoch(train) [67][1620/1879] lr: 1.0000e-02 eta: 1 day, 4:04:52 time: 0.2792 data_time: 0.0241 memory: 8198 grad_norm: 5.2944 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6848 loss: 1.6848 2022/08/03 00:25:19 - mmengine - INFO - Epoch(train) [67][1640/1879] lr: 1.0000e-02 eta: 1 day, 4:04:46 time: 0.2798 data_time: 0.0197 memory: 8198 grad_norm: 5.1486 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7677 loss: 1.7677 2022/08/03 00:25:24 - mmengine - INFO - Epoch(train) [67][1660/1879] lr: 1.0000e-02 eta: 1 day, 4:04:40 time: 0.2848 data_time: 0.0227 memory: 8198 grad_norm: 5.3030 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7895 loss: 1.7895 2022/08/03 00:25:30 - mmengine - INFO - Epoch(train) [67][1680/1879] lr: 1.0000e-02 eta: 1 day, 4:04:34 time: 0.2802 data_time: 0.0192 memory: 8198 grad_norm: 5.2658 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6666 loss: 1.6666 2022/08/03 00:25:36 - mmengine - INFO - Epoch(train) [67][1700/1879] lr: 1.0000e-02 eta: 1 day, 4:04:28 time: 0.2844 data_time: 0.0211 memory: 8198 grad_norm: 5.1324 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5245 loss: 1.5245 2022/08/03 00:25:42 - mmengine - INFO - Epoch(train) [67][1720/1879] lr: 1.0000e-02 eta: 1 day, 4:04:23 time: 0.2922 data_time: 0.0240 memory: 8198 grad_norm: 5.1121 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7867 loss: 1.7867 2022/08/03 00:25:47 - mmengine - INFO - Epoch(train) [67][1740/1879] lr: 1.0000e-02 eta: 1 day, 4:04:18 time: 0.2880 data_time: 0.0237 memory: 8198 grad_norm: 5.2756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7597 loss: 1.7597 2022/08/03 00:25:53 - mmengine - INFO - Epoch(train) [67][1760/1879] lr: 1.0000e-02 eta: 1 day, 4:04:12 time: 0.2823 data_time: 0.0215 memory: 8198 grad_norm: 5.2729 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4744 loss: 1.4744 2022/08/03 00:25:59 - mmengine - INFO - Epoch(train) [67][1780/1879] lr: 1.0000e-02 eta: 1 day, 4:04:06 time: 0.2817 data_time: 0.0211 memory: 8198 grad_norm: 5.3507 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/08/03 00:26:05 - mmengine - INFO - Epoch(train) [67][1800/1879] lr: 1.0000e-02 eta: 1 day, 4:04:01 time: 0.2937 data_time: 0.0199 memory: 8198 grad_norm: 5.1592 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8138 loss: 1.8138 2022/08/03 00:26:10 - mmengine - INFO - Epoch(train) [67][1820/1879] lr: 1.0000e-02 eta: 1 day, 4:03:55 time: 0.2806 data_time: 0.0220 memory: 8198 grad_norm: 5.1490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6657 loss: 1.6657 2022/08/03 00:26:16 - mmengine - INFO - Epoch(train) [67][1840/1879] lr: 1.0000e-02 eta: 1 day, 4:03:49 time: 0.2837 data_time: 0.0206 memory: 8198 grad_norm: 5.3537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6776 loss: 1.6776 2022/08/03 00:26:22 - mmengine - INFO - Epoch(train) [67][1860/1879] lr: 1.0000e-02 eta: 1 day, 4:03:44 time: 0.2845 data_time: 0.0257 memory: 8198 grad_norm: 5.3831 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7398 loss: 1.7398 2022/08/03 00:26:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:26:26 - mmengine - INFO - Epoch(train) [67][1879/1879] lr: 1.0000e-02 eta: 1 day, 4:03:44 time: 0.2555 data_time: 0.0196 memory: 8198 grad_norm: 5.2906 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6026 loss: 1.6026 2022/08/03 00:26:35 - mmengine - INFO - Epoch(train) [68][20/1879] lr: 1.0000e-02 eta: 1 day, 4:03:24 time: 0.4087 data_time: 0.1262 memory: 8198 grad_norm: 5.0847 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6421 loss: 1.6421 2022/08/03 00:26:40 - mmengine - INFO - Epoch(train) [68][40/1879] lr: 1.0000e-02 eta: 1 day, 4:03:19 time: 0.2877 data_time: 0.0193 memory: 8198 grad_norm: 5.1887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7276 loss: 1.7276 2022/08/03 00:26:46 - mmengine - INFO - Epoch(train) [68][60/1879] lr: 1.0000e-02 eta: 1 day, 4:03:13 time: 0.2888 data_time: 0.0207 memory: 8198 grad_norm: 5.2308 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7673 loss: 1.7673 2022/08/03 00:26:52 - mmengine - INFO - Epoch(train) [68][80/1879] lr: 1.0000e-02 eta: 1 day, 4:03:08 time: 0.2880 data_time: 0.0210 memory: 8198 grad_norm: 5.1201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6268 loss: 1.6268 2022/08/03 00:26:58 - mmengine - INFO - Epoch(train) [68][100/1879] lr: 1.0000e-02 eta: 1 day, 4:03:02 time: 0.2825 data_time: 0.0234 memory: 8198 grad_norm: 5.3136 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/08/03 00:27:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:27:03 - mmengine - INFO - Epoch(train) [68][120/1879] lr: 1.0000e-02 eta: 1 day, 4:02:57 time: 0.2878 data_time: 0.0232 memory: 8198 grad_norm: 5.3250 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/08/03 00:27:09 - mmengine - INFO - Epoch(train) [68][140/1879] lr: 1.0000e-02 eta: 1 day, 4:02:51 time: 0.2808 data_time: 0.0214 memory: 8198 grad_norm: 5.1071 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5408 loss: 1.5408 2022/08/03 00:27:15 - mmengine - INFO - Epoch(train) [68][160/1879] lr: 1.0000e-02 eta: 1 day, 4:02:45 time: 0.2855 data_time: 0.0244 memory: 8198 grad_norm: 5.2788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6457 loss: 1.6457 2022/08/03 00:27:21 - mmengine - INFO - Epoch(train) [68][180/1879] lr: 1.0000e-02 eta: 1 day, 4:02:40 time: 0.2880 data_time: 0.0250 memory: 8198 grad_norm: 5.1609 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5438 loss: 1.5438 2022/08/03 00:27:26 - mmengine - INFO - Epoch(train) [68][200/1879] lr: 1.0000e-02 eta: 1 day, 4:02:34 time: 0.2957 data_time: 0.0181 memory: 8198 grad_norm: 5.2851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8168 loss: 1.8168 2022/08/03 00:27:32 - mmengine - INFO - Epoch(train) [68][220/1879] lr: 1.0000e-02 eta: 1 day, 4:02:29 time: 0.2838 data_time: 0.0233 memory: 8198 grad_norm: 5.3339 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7003 loss: 1.7003 2022/08/03 00:27:38 - mmengine - INFO - Epoch(train) [68][240/1879] lr: 1.0000e-02 eta: 1 day, 4:02:23 time: 0.2877 data_time: 0.0289 memory: 8198 grad_norm: 5.1505 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7952 loss: 1.7952 2022/08/03 00:27:44 - mmengine - INFO - Epoch(train) [68][260/1879] lr: 1.0000e-02 eta: 1 day, 4:02:18 time: 0.2956 data_time: 0.0256 memory: 8198 grad_norm: 5.0427 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6216 loss: 1.6216 2022/08/03 00:27:49 - mmengine - INFO - Epoch(train) [68][280/1879] lr: 1.0000e-02 eta: 1 day, 4:02:12 time: 0.2807 data_time: 0.0219 memory: 8198 grad_norm: 5.3145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7225 loss: 1.7225 2022/08/03 00:27:55 - mmengine - INFO - Epoch(train) [68][300/1879] lr: 1.0000e-02 eta: 1 day, 4:02:07 time: 0.2915 data_time: 0.0241 memory: 8198 grad_norm: 5.3207 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7551 loss: 1.7551 2022/08/03 00:28:01 - mmengine - INFO - Epoch(train) [68][320/1879] lr: 1.0000e-02 eta: 1 day, 4:02:02 time: 0.2900 data_time: 0.0200 memory: 8198 grad_norm: 5.1958 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7528 loss: 1.7528 2022/08/03 00:28:07 - mmengine - INFO - Epoch(train) [68][340/1879] lr: 1.0000e-02 eta: 1 day, 4:01:56 time: 0.2825 data_time: 0.0271 memory: 8198 grad_norm: 5.2777 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6504 loss: 1.6504 2022/08/03 00:28:13 - mmengine - INFO - Epoch(train) [68][360/1879] lr: 1.0000e-02 eta: 1 day, 4:01:51 time: 0.3052 data_time: 0.0236 memory: 8198 grad_norm: 5.1501 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7767 loss: 1.7767 2022/08/03 00:28:19 - mmengine - INFO - Epoch(train) [68][380/1879] lr: 1.0000e-02 eta: 1 day, 4:01:45 time: 0.2808 data_time: 0.0240 memory: 8198 grad_norm: 5.1179 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6321 loss: 1.6321 2022/08/03 00:28:24 - mmengine - INFO - Epoch(train) [68][400/1879] lr: 1.0000e-02 eta: 1 day, 4:01:40 time: 0.2829 data_time: 0.0233 memory: 8198 grad_norm: 5.3628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7136 loss: 1.7136 2022/08/03 00:28:30 - mmengine - INFO - Epoch(train) [68][420/1879] lr: 1.0000e-02 eta: 1 day, 4:01:34 time: 0.2861 data_time: 0.0236 memory: 8198 grad_norm: 5.2502 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4885 loss: 1.4885 2022/08/03 00:28:36 - mmengine - INFO - Epoch(train) [68][440/1879] lr: 1.0000e-02 eta: 1 day, 4:01:30 time: 0.3077 data_time: 0.0258 memory: 8198 grad_norm: 5.1823 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4248 loss: 1.4248 2022/08/03 00:28:42 - mmengine - INFO - Epoch(train) [68][460/1879] lr: 1.0000e-02 eta: 1 day, 4:01:24 time: 0.2812 data_time: 0.0217 memory: 8198 grad_norm: 5.2032 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5914 loss: 1.5914 2022/08/03 00:28:47 - mmengine - INFO - Epoch(train) [68][480/1879] lr: 1.0000e-02 eta: 1 day, 4:01:18 time: 0.2803 data_time: 0.0184 memory: 8198 grad_norm: 5.2638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8311 loss: 1.8311 2022/08/03 00:28:53 - mmengine - INFO - Epoch(train) [68][500/1879] lr: 1.0000e-02 eta: 1 day, 4:01:12 time: 0.2869 data_time: 0.0227 memory: 8198 grad_norm: 5.3672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6818 loss: 1.6818 2022/08/03 00:28:59 - mmengine - INFO - Epoch(train) [68][520/1879] lr: 1.0000e-02 eta: 1 day, 4:01:07 time: 0.2828 data_time: 0.0237 memory: 8198 grad_norm: 5.0818 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4386 loss: 1.4386 2022/08/03 00:29:05 - mmengine - INFO - Epoch(train) [68][540/1879] lr: 1.0000e-02 eta: 1 day, 4:01:01 time: 0.2903 data_time: 0.0250 memory: 8198 grad_norm: 5.2427 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7096 loss: 1.7096 2022/08/03 00:29:10 - mmengine - INFO - Epoch(train) [68][560/1879] lr: 1.0000e-02 eta: 1 day, 4:00:55 time: 0.2822 data_time: 0.0255 memory: 8198 grad_norm: 5.2481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6502 loss: 1.6502 2022/08/03 00:29:16 - mmengine - INFO - Epoch(train) [68][580/1879] lr: 1.0000e-02 eta: 1 day, 4:00:50 time: 0.2825 data_time: 0.0228 memory: 8198 grad_norm: 5.1706 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6772 loss: 1.6772 2022/08/03 00:29:22 - mmengine - INFO - Epoch(train) [68][600/1879] lr: 1.0000e-02 eta: 1 day, 4:00:45 time: 0.2984 data_time: 0.0371 memory: 8198 grad_norm: 5.1690 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7123 loss: 1.7123 2022/08/03 00:29:28 - mmengine - INFO - Epoch(train) [68][620/1879] lr: 1.0000e-02 eta: 1 day, 4:00:39 time: 0.2848 data_time: 0.0273 memory: 8198 grad_norm: 5.2804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7764 loss: 1.7764 2022/08/03 00:29:33 - mmengine - INFO - Epoch(train) [68][640/1879] lr: 1.0000e-02 eta: 1 day, 4:00:34 time: 0.2890 data_time: 0.0284 memory: 8198 grad_norm: 5.1946 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5749 loss: 1.5749 2022/08/03 00:29:39 - mmengine - INFO - Epoch(train) [68][660/1879] lr: 1.0000e-02 eta: 1 day, 4:00:28 time: 0.2821 data_time: 0.0276 memory: 8198 grad_norm: 5.2417 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5616 loss: 1.5616 2022/08/03 00:29:45 - mmengine - INFO - Epoch(train) [68][680/1879] lr: 1.0000e-02 eta: 1 day, 4:00:22 time: 0.2856 data_time: 0.0255 memory: 8198 grad_norm: 5.3959 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5414 loss: 1.5414 2022/08/03 00:29:50 - mmengine - INFO - Epoch(train) [68][700/1879] lr: 1.0000e-02 eta: 1 day, 4:00:16 time: 0.2846 data_time: 0.0220 memory: 8198 grad_norm: 5.1617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4663 loss: 1.4663 2022/08/03 00:29:56 - mmengine - INFO - Epoch(train) [68][720/1879] lr: 1.0000e-02 eta: 1 day, 4:00:10 time: 0.2773 data_time: 0.0206 memory: 8198 grad_norm: 5.4049 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7135 loss: 1.7135 2022/08/03 00:30:02 - mmengine - INFO - Epoch(train) [68][740/1879] lr: 1.0000e-02 eta: 1 day, 4:00:05 time: 0.2867 data_time: 0.0257 memory: 8198 grad_norm: 5.3126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5388 loss: 1.5388 2022/08/03 00:30:08 - mmengine - INFO - Epoch(train) [68][760/1879] lr: 1.0000e-02 eta: 1 day, 4:00:00 time: 0.2984 data_time: 0.0265 memory: 8198 grad_norm: 5.2211 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6707 loss: 1.6707 2022/08/03 00:30:14 - mmengine - INFO - Epoch(train) [68][780/1879] lr: 1.0000e-02 eta: 1 day, 3:59:55 time: 0.2909 data_time: 0.0261 memory: 8198 grad_norm: 5.1586 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7056 loss: 1.7056 2022/08/03 00:30:19 - mmengine - INFO - Epoch(train) [68][800/1879] lr: 1.0000e-02 eta: 1 day, 3:59:49 time: 0.2819 data_time: 0.0228 memory: 8198 grad_norm: 5.1883 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5582 loss: 1.5582 2022/08/03 00:30:25 - mmengine - INFO - Epoch(train) [68][820/1879] lr: 1.0000e-02 eta: 1 day, 3:59:43 time: 0.2919 data_time: 0.0230 memory: 8198 grad_norm: 5.3369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5819 loss: 1.5819 2022/08/03 00:30:31 - mmengine - INFO - Epoch(train) [68][840/1879] lr: 1.0000e-02 eta: 1 day, 3:59:38 time: 0.2817 data_time: 0.0216 memory: 8198 grad_norm: 5.2554 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6507 loss: 1.6507 2022/08/03 00:30:36 - mmengine - INFO - Epoch(train) [68][860/1879] lr: 1.0000e-02 eta: 1 day, 3:59:32 time: 0.2808 data_time: 0.0243 memory: 8198 grad_norm: 5.2382 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6881 loss: 1.6881 2022/08/03 00:30:42 - mmengine - INFO - Epoch(train) [68][880/1879] lr: 1.0000e-02 eta: 1 day, 3:59:26 time: 0.2833 data_time: 0.0200 memory: 8198 grad_norm: 5.2496 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6879 loss: 1.6879 2022/08/03 00:30:48 - mmengine - INFO - Epoch(train) [68][900/1879] lr: 1.0000e-02 eta: 1 day, 3:59:20 time: 0.2813 data_time: 0.0271 memory: 8198 grad_norm: 5.2891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8561 loss: 1.8561 2022/08/03 00:30:53 - mmengine - INFO - Epoch(train) [68][920/1879] lr: 1.0000e-02 eta: 1 day, 3:59:14 time: 0.2802 data_time: 0.0195 memory: 8198 grad_norm: 5.4248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6432 loss: 1.6432 2022/08/03 00:30:59 - mmengine - INFO - Epoch(train) [68][940/1879] lr: 1.0000e-02 eta: 1 day, 3:59:08 time: 0.2827 data_time: 0.0218 memory: 8198 grad_norm: 5.2328 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8205 loss: 1.8205 2022/08/03 00:31:05 - mmengine - INFO - Epoch(train) [68][960/1879] lr: 1.0000e-02 eta: 1 day, 3:59:03 time: 0.2850 data_time: 0.0272 memory: 8198 grad_norm: 5.2064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7411 loss: 1.7411 2022/08/03 00:31:10 - mmengine - INFO - Epoch(train) [68][980/1879] lr: 1.0000e-02 eta: 1 day, 3:58:57 time: 0.2813 data_time: 0.0247 memory: 8198 grad_norm: 5.2183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7700 loss: 1.7700 2022/08/03 00:31:16 - mmengine - INFO - Epoch(train) [68][1000/1879] lr: 1.0000e-02 eta: 1 day, 3:58:51 time: 0.2825 data_time: 0.0237 memory: 8198 grad_norm: 5.1422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4641 loss: 1.4641 2022/08/03 00:31:22 - mmengine - INFO - Epoch(train) [68][1020/1879] lr: 1.0000e-02 eta: 1 day, 3:58:45 time: 0.2854 data_time: 0.0218 memory: 8198 grad_norm: 5.0874 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7544 loss: 1.7544 2022/08/03 00:31:27 - mmengine - INFO - Epoch(train) [68][1040/1879] lr: 1.0000e-02 eta: 1 day, 3:58:39 time: 0.2808 data_time: 0.0206 memory: 8198 grad_norm: 5.2731 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8622 loss: 1.8622 2022/08/03 00:31:33 - mmengine - INFO - Epoch(train) [68][1060/1879] lr: 1.0000e-02 eta: 1 day, 3:58:34 time: 0.2843 data_time: 0.0254 memory: 8198 grad_norm: 5.1626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5982 loss: 1.5982 2022/08/03 00:31:39 - mmengine - INFO - Epoch(train) [68][1080/1879] lr: 1.0000e-02 eta: 1 day, 3:58:28 time: 0.2838 data_time: 0.0183 memory: 8198 grad_norm: 5.1915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7293 loss: 1.7293 2022/08/03 00:31:44 - mmengine - INFO - Epoch(train) [68][1100/1879] lr: 1.0000e-02 eta: 1 day, 3:58:23 time: 0.2870 data_time: 0.0216 memory: 8198 grad_norm: 5.2006 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7062 loss: 1.7062 2022/08/03 00:31:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:31:50 - mmengine - INFO - Epoch(train) [68][1120/1879] lr: 1.0000e-02 eta: 1 day, 3:58:17 time: 0.2806 data_time: 0.0229 memory: 8198 grad_norm: 5.3767 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6956 loss: 1.6956 2022/08/03 00:31:56 - mmengine - INFO - Epoch(train) [68][1140/1879] lr: 1.0000e-02 eta: 1 day, 3:58:11 time: 0.2852 data_time: 0.0222 memory: 8198 grad_norm: 5.2260 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7253 loss: 1.7253 2022/08/03 00:32:02 - mmengine - INFO - Epoch(train) [68][1160/1879] lr: 1.0000e-02 eta: 1 day, 3:58:05 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 5.1042 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6903 loss: 1.6903 2022/08/03 00:32:08 - mmengine - INFO - Epoch(train) [68][1180/1879] lr: 1.0000e-02 eta: 1 day, 3:58:00 time: 0.3007 data_time: 0.0438 memory: 8198 grad_norm: 5.3290 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6543 loss: 1.6543 2022/08/03 00:32:13 - mmengine - INFO - Epoch(train) [68][1200/1879] lr: 1.0000e-02 eta: 1 day, 3:57:55 time: 0.2798 data_time: 0.0205 memory: 8198 grad_norm: 5.1447 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5457 loss: 1.5457 2022/08/03 00:32:19 - mmengine - INFO - Epoch(train) [68][1220/1879] lr: 1.0000e-02 eta: 1 day, 3:57:49 time: 0.2819 data_time: 0.0252 memory: 8198 grad_norm: 5.1044 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5390 loss: 1.5390 2022/08/03 00:32:24 - mmengine - INFO - Epoch(train) [68][1240/1879] lr: 1.0000e-02 eta: 1 day, 3:57:43 time: 0.2849 data_time: 0.0211 memory: 8198 grad_norm: 5.1603 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.6652 loss: 1.6652 2022/08/03 00:32:30 - mmengine - INFO - Epoch(train) [68][1260/1879] lr: 1.0000e-02 eta: 1 day, 3:57:37 time: 0.2825 data_time: 0.0231 memory: 8198 grad_norm: 5.2424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5576 loss: 1.5576 2022/08/03 00:32:36 - mmengine - INFO - Epoch(train) [68][1280/1879] lr: 1.0000e-02 eta: 1 day, 3:57:31 time: 0.2820 data_time: 0.0214 memory: 8198 grad_norm: 5.3055 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6165 loss: 1.6165 2022/08/03 00:32:42 - mmengine - INFO - Epoch(train) [68][1300/1879] lr: 1.0000e-02 eta: 1 day, 3:57:26 time: 0.2889 data_time: 0.0209 memory: 8198 grad_norm: 5.2116 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6058 loss: 1.6058 2022/08/03 00:32:47 - mmengine - INFO - Epoch(train) [68][1320/1879] lr: 1.0000e-02 eta: 1 day, 3:57:20 time: 0.2816 data_time: 0.0207 memory: 8198 grad_norm: 5.2849 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4345 loss: 1.4345 2022/08/03 00:32:53 - mmengine - INFO - Epoch(train) [68][1340/1879] lr: 1.0000e-02 eta: 1 day, 3:57:15 time: 0.2952 data_time: 0.0250 memory: 8198 grad_norm: 5.2643 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/08/03 00:32:59 - mmengine - INFO - Epoch(train) [68][1360/1879] lr: 1.0000e-02 eta: 1 day, 3:57:09 time: 0.2833 data_time: 0.0218 memory: 8198 grad_norm: 5.0544 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7172 loss: 1.7172 2022/08/03 00:33:05 - mmengine - INFO - Epoch(train) [68][1380/1879] lr: 1.0000e-02 eta: 1 day, 3:57:04 time: 0.2937 data_time: 0.0282 memory: 8198 grad_norm: 5.3391 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7530 loss: 1.7530 2022/08/03 00:33:10 - mmengine - INFO - Epoch(train) [68][1400/1879] lr: 1.0000e-02 eta: 1 day, 3:56:58 time: 0.2803 data_time: 0.0221 memory: 8198 grad_norm: 5.2857 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7693 loss: 1.7693 2022/08/03 00:33:16 - mmengine - INFO - Epoch(train) [68][1420/1879] lr: 1.0000e-02 eta: 1 day, 3:56:53 time: 0.2844 data_time: 0.0239 memory: 8198 grad_norm: 5.2855 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5714 loss: 1.5714 2022/08/03 00:33:22 - mmengine - INFO - Epoch(train) [68][1440/1879] lr: 1.0000e-02 eta: 1 day, 3:56:47 time: 0.2859 data_time: 0.0256 memory: 8198 grad_norm: 5.2539 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0127 loss: 2.0127 2022/08/03 00:33:27 - mmengine - INFO - Epoch(train) [68][1460/1879] lr: 1.0000e-02 eta: 1 day, 3:56:41 time: 0.2785 data_time: 0.0224 memory: 8198 grad_norm: 5.0315 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5188 loss: 1.5188 2022/08/03 00:33:33 - mmengine - INFO - Epoch(train) [68][1480/1879] lr: 1.0000e-02 eta: 1 day, 3:56:35 time: 0.2858 data_time: 0.0245 memory: 8198 grad_norm: 5.3118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6328 loss: 1.6328 2022/08/03 00:33:39 - mmengine - INFO - Epoch(train) [68][1500/1879] lr: 1.0000e-02 eta: 1 day, 3:56:29 time: 0.2812 data_time: 0.0231 memory: 8198 grad_norm: 5.2983 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8083 loss: 1.8083 2022/08/03 00:33:45 - mmengine - INFO - Epoch(train) [68][1520/1879] lr: 1.0000e-02 eta: 1 day, 3:56:24 time: 0.2978 data_time: 0.0215 memory: 8198 grad_norm: 5.2647 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9610 loss: 1.9610 2022/08/03 00:33:50 - mmengine - INFO - Epoch(train) [68][1540/1879] lr: 1.0000e-02 eta: 1 day, 3:56:19 time: 0.2817 data_time: 0.0215 memory: 8198 grad_norm: 5.2774 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9201 loss: 1.9201 2022/08/03 00:33:56 - mmengine - INFO - Epoch(train) [68][1560/1879] lr: 1.0000e-02 eta: 1 day, 3:56:13 time: 0.2805 data_time: 0.0175 memory: 8198 grad_norm: 5.1653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3331 loss: 1.3331 2022/08/03 00:34:02 - mmengine - INFO - Epoch(train) [68][1580/1879] lr: 1.0000e-02 eta: 1 day, 3:56:09 time: 0.3260 data_time: 0.0215 memory: 8198 grad_norm: 5.3244 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8385 loss: 1.8385 2022/08/03 00:34:08 - mmengine - INFO - Epoch(train) [68][1600/1879] lr: 1.0000e-02 eta: 1 day, 3:56:04 time: 0.2827 data_time: 0.0254 memory: 8198 grad_norm: 5.2134 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8427 loss: 1.8427 2022/08/03 00:34:14 - mmengine - INFO - Epoch(train) [68][1620/1879] lr: 1.0000e-02 eta: 1 day, 3:55:58 time: 0.2888 data_time: 0.0244 memory: 8198 grad_norm: 5.2444 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7141 loss: 1.7141 2022/08/03 00:34:20 - mmengine - INFO - Epoch(train) [68][1640/1879] lr: 1.0000e-02 eta: 1 day, 3:55:53 time: 0.2915 data_time: 0.0217 memory: 8198 grad_norm: 5.1699 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/08/03 00:34:25 - mmengine - INFO - Epoch(train) [68][1660/1879] lr: 1.0000e-02 eta: 1 day, 3:55:47 time: 0.2846 data_time: 0.0291 memory: 8198 grad_norm: 5.2109 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7757 loss: 1.7757 2022/08/03 00:34:31 - mmengine - INFO - Epoch(train) [68][1680/1879] lr: 1.0000e-02 eta: 1 day, 3:55:42 time: 0.2953 data_time: 0.0220 memory: 8198 grad_norm: 5.1762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8159 loss: 1.8159 2022/08/03 00:34:37 - mmengine - INFO - Epoch(train) [68][1700/1879] lr: 1.0000e-02 eta: 1 day, 3:55:36 time: 0.2810 data_time: 0.0251 memory: 8198 grad_norm: 5.1917 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5246 loss: 1.5246 2022/08/03 00:34:43 - mmengine - INFO - Epoch(train) [68][1720/1879] lr: 1.0000e-02 eta: 1 day, 3:55:30 time: 0.2800 data_time: 0.0214 memory: 8198 grad_norm: 5.2659 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8858 loss: 1.8858 2022/08/03 00:34:48 - mmengine - INFO - Epoch(train) [68][1740/1879] lr: 1.0000e-02 eta: 1 day, 3:55:24 time: 0.2840 data_time: 0.0247 memory: 8198 grad_norm: 5.0850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6716 loss: 1.6716 2022/08/03 00:34:54 - mmengine - INFO - Epoch(train) [68][1760/1879] lr: 1.0000e-02 eta: 1 day, 3:55:20 time: 0.3029 data_time: 0.0197 memory: 8198 grad_norm: 5.3224 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8839 loss: 1.8839 2022/08/03 00:35:00 - mmengine - INFO - Epoch(train) [68][1780/1879] lr: 1.0000e-02 eta: 1 day, 3:55:14 time: 0.2830 data_time: 0.0260 memory: 8198 grad_norm: 5.1615 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7234 loss: 1.7234 2022/08/03 00:35:06 - mmengine - INFO - Epoch(train) [68][1800/1879] lr: 1.0000e-02 eta: 1 day, 3:55:08 time: 0.2854 data_time: 0.0252 memory: 8198 grad_norm: 5.3047 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7276 loss: 1.7276 2022/08/03 00:35:12 - mmengine - INFO - Epoch(train) [68][1820/1879] lr: 1.0000e-02 eta: 1 day, 3:55:04 time: 0.3131 data_time: 0.0232 memory: 8198 grad_norm: 5.3301 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5297 loss: 1.5297 2022/08/03 00:35:18 - mmengine - INFO - Epoch(train) [68][1840/1879] lr: 1.0000e-02 eta: 1 day, 3:54:58 time: 0.2767 data_time: 0.0233 memory: 8198 grad_norm: 5.1323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6554 loss: 1.6554 2022/08/03 00:35:23 - mmengine - INFO - Epoch(train) [68][1860/1879] lr: 1.0000e-02 eta: 1 day, 3:54:53 time: 0.2881 data_time: 0.0294 memory: 8198 grad_norm: 5.1212 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5613 loss: 1.5613 2022/08/03 00:35:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:35:28 - mmengine - INFO - Epoch(train) [68][1879/1879] lr: 1.0000e-02 eta: 1 day, 3:54:53 time: 0.2538 data_time: 0.0137 memory: 8198 grad_norm: 5.3242 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7996 loss: 1.7996 2022/08/03 00:35:28 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/08/03 00:35:38 - mmengine - INFO - Epoch(train) [69][20/1879] lr: 1.0000e-02 eta: 1 day, 3:54:31 time: 0.3708 data_time: 0.1144 memory: 8198 grad_norm: 5.1186 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7824 loss: 1.7824 2022/08/03 00:35:44 - mmengine - INFO - Epoch(train) [69][40/1879] lr: 1.0000e-02 eta: 1 day, 3:54:26 time: 0.2861 data_time: 0.0185 memory: 8198 grad_norm: 5.2045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6215 loss: 1.6215 2022/08/03 00:35:49 - mmengine - INFO - Epoch(train) [69][60/1879] lr: 1.0000e-02 eta: 1 day, 3:54:20 time: 0.2824 data_time: 0.0233 memory: 8198 grad_norm: 4.9443 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4864 loss: 1.4864 2022/08/03 00:35:55 - mmengine - INFO - Epoch(train) [69][80/1879] lr: 1.0000e-02 eta: 1 day, 3:54:14 time: 0.2859 data_time: 0.0218 memory: 8198 grad_norm: 5.1846 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7048 loss: 1.7048 2022/08/03 00:36:01 - mmengine - INFO - Epoch(train) [69][100/1879] lr: 1.0000e-02 eta: 1 day, 3:54:09 time: 0.2893 data_time: 0.0286 memory: 8198 grad_norm: 5.0718 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5982 loss: 1.5982 2022/08/03 00:36:07 - mmengine - INFO - Epoch(train) [69][120/1879] lr: 1.0000e-02 eta: 1 day, 3:54:04 time: 0.2883 data_time: 0.0212 memory: 8198 grad_norm: 5.1981 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8940 loss: 1.8940 2022/08/03 00:36:13 - mmengine - INFO - Epoch(train) [69][140/1879] lr: 1.0000e-02 eta: 1 day, 3:53:58 time: 0.2954 data_time: 0.0261 memory: 8198 grad_norm: 5.1849 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6614 loss: 1.6614 2022/08/03 00:36:18 - mmengine - INFO - Epoch(train) [69][160/1879] lr: 1.0000e-02 eta: 1 day, 3:53:52 time: 0.2794 data_time: 0.0204 memory: 8198 grad_norm: 5.3508 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7147 loss: 1.7147 2022/08/03 00:36:24 - mmengine - INFO - Epoch(train) [69][180/1879] lr: 1.0000e-02 eta: 1 day, 3:53:47 time: 0.2949 data_time: 0.0257 memory: 8198 grad_norm: 5.3427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6651 loss: 1.6651 2022/08/03 00:36:30 - mmengine - INFO - Epoch(train) [69][200/1879] lr: 1.0000e-02 eta: 1 day, 3:53:41 time: 0.2802 data_time: 0.0185 memory: 8198 grad_norm: 5.2632 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/08/03 00:36:35 - mmengine - INFO - Epoch(train) [69][220/1879] lr: 1.0000e-02 eta: 1 day, 3:53:36 time: 0.2825 data_time: 0.0228 memory: 8198 grad_norm: 5.3290 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7189 loss: 1.7189 2022/08/03 00:36:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:36:41 - mmengine - INFO - Epoch(train) [69][240/1879] lr: 1.0000e-02 eta: 1 day, 3:53:30 time: 0.2836 data_time: 0.0227 memory: 8198 grad_norm: 5.2660 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7351 loss: 1.7351 2022/08/03 00:36:47 - mmengine - INFO - Epoch(train) [69][260/1879] lr: 1.0000e-02 eta: 1 day, 3:53:24 time: 0.2817 data_time: 0.0253 memory: 8198 grad_norm: 5.0960 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7291 loss: 1.7291 2022/08/03 00:36:53 - mmengine - INFO - Epoch(train) [69][280/1879] lr: 1.0000e-02 eta: 1 day, 3:53:19 time: 0.2879 data_time: 0.0224 memory: 8198 grad_norm: 5.2327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6841 loss: 1.6841 2022/08/03 00:36:58 - mmengine - INFO - Epoch(train) [69][300/1879] lr: 1.0000e-02 eta: 1 day, 3:53:13 time: 0.2896 data_time: 0.0241 memory: 8198 grad_norm: 5.2906 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7916 loss: 1.7916 2022/08/03 00:37:04 - mmengine - INFO - Epoch(train) [69][320/1879] lr: 1.0000e-02 eta: 1 day, 3:53:07 time: 0.2830 data_time: 0.0220 memory: 8198 grad_norm: 5.3011 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6483 loss: 1.6483 2022/08/03 00:37:10 - mmengine - INFO - Epoch(train) [69][340/1879] lr: 1.0000e-02 eta: 1 day, 3:53:02 time: 0.2913 data_time: 0.0337 memory: 8198 grad_norm: 5.3476 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.7479 loss: 1.7479 2022/08/03 00:37:15 - mmengine - INFO - Epoch(train) [69][360/1879] lr: 1.0000e-02 eta: 1 day, 3:52:56 time: 0.2818 data_time: 0.0225 memory: 8198 grad_norm: 5.0184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6006 loss: 1.6006 2022/08/03 00:37:21 - mmengine - INFO - Epoch(train) [69][380/1879] lr: 1.0000e-02 eta: 1 day, 3:52:50 time: 0.2814 data_time: 0.0230 memory: 8198 grad_norm: 5.0891 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6480 loss: 1.6480 2022/08/03 00:37:27 - mmengine - INFO - Epoch(train) [69][400/1879] lr: 1.0000e-02 eta: 1 day, 3:52:45 time: 0.2941 data_time: 0.0204 memory: 8198 grad_norm: 5.2247 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5343 loss: 1.5343 2022/08/03 00:37:33 - mmengine - INFO - Epoch(train) [69][420/1879] lr: 1.0000e-02 eta: 1 day, 3:52:40 time: 0.2851 data_time: 0.0194 memory: 8198 grad_norm: 5.1953 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4439 loss: 1.4439 2022/08/03 00:37:38 - mmengine - INFO - Epoch(train) [69][440/1879] lr: 1.0000e-02 eta: 1 day, 3:52:34 time: 0.2822 data_time: 0.0216 memory: 8198 grad_norm: 5.2401 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6041 loss: 1.6041 2022/08/03 00:37:44 - mmengine - INFO - Epoch(train) [69][460/1879] lr: 1.0000e-02 eta: 1 day, 3:52:28 time: 0.2862 data_time: 0.0204 memory: 8198 grad_norm: 5.2287 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8092 loss: 1.8092 2022/08/03 00:37:50 - mmengine - INFO - Epoch(train) [69][480/1879] lr: 1.0000e-02 eta: 1 day, 3:52:22 time: 0.2840 data_time: 0.0195 memory: 8198 grad_norm: 5.1611 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7296 loss: 1.7296 2022/08/03 00:37:56 - mmengine - INFO - Epoch(train) [69][500/1879] lr: 1.0000e-02 eta: 1 day, 3:52:17 time: 0.2857 data_time: 0.0256 memory: 8198 grad_norm: 5.3260 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8520 loss: 1.8520 2022/08/03 00:38:01 - mmengine - INFO - Epoch(train) [69][520/1879] lr: 1.0000e-02 eta: 1 day, 3:52:11 time: 0.2837 data_time: 0.0177 memory: 8198 grad_norm: 5.2595 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6380 loss: 1.6380 2022/08/03 00:38:07 - mmengine - INFO - Epoch(train) [69][540/1879] lr: 1.0000e-02 eta: 1 day, 3:52:05 time: 0.2822 data_time: 0.0243 memory: 8198 grad_norm: 5.2557 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5846 loss: 1.5846 2022/08/03 00:38:13 - mmengine - INFO - Epoch(train) [69][560/1879] lr: 1.0000e-02 eta: 1 day, 3:52:00 time: 0.2872 data_time: 0.0282 memory: 8198 grad_norm: 5.1817 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7035 loss: 1.7035 2022/08/03 00:38:18 - mmengine - INFO - Epoch(train) [69][580/1879] lr: 1.0000e-02 eta: 1 day, 3:51:54 time: 0.2824 data_time: 0.0232 memory: 8198 grad_norm: 5.3120 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6119 loss: 1.6119 2022/08/03 00:38:24 - mmengine - INFO - Epoch(train) [69][600/1879] lr: 1.0000e-02 eta: 1 day, 3:51:48 time: 0.2875 data_time: 0.0251 memory: 8198 grad_norm: 5.1853 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6492 loss: 1.6492 2022/08/03 00:38:30 - mmengine - INFO - Epoch(train) [69][620/1879] lr: 1.0000e-02 eta: 1 day, 3:51:43 time: 0.2828 data_time: 0.0203 memory: 8198 grad_norm: 5.3009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6827 loss: 1.6827 2022/08/03 00:38:35 - mmengine - INFO - Epoch(train) [69][640/1879] lr: 1.0000e-02 eta: 1 day, 3:51:37 time: 0.2871 data_time: 0.0247 memory: 8198 grad_norm: 5.2381 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6635 loss: 1.6635 2022/08/03 00:38:41 - mmengine - INFO - Epoch(train) [69][660/1879] lr: 1.0000e-02 eta: 1 day, 3:51:31 time: 0.2840 data_time: 0.0227 memory: 8198 grad_norm: 5.3520 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8336 loss: 1.8336 2022/08/03 00:38:47 - mmengine - INFO - Epoch(train) [69][680/1879] lr: 1.0000e-02 eta: 1 day, 3:51:26 time: 0.2828 data_time: 0.0234 memory: 8198 grad_norm: 5.1233 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7183 loss: 1.7183 2022/08/03 00:38:53 - mmengine - INFO - Epoch(train) [69][700/1879] lr: 1.0000e-02 eta: 1 day, 3:51:20 time: 0.2911 data_time: 0.0303 memory: 8198 grad_norm: 5.3719 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6155 loss: 1.6155 2022/08/03 00:38:58 - mmengine - INFO - Epoch(train) [69][720/1879] lr: 1.0000e-02 eta: 1 day, 3:51:15 time: 0.2819 data_time: 0.0232 memory: 8198 grad_norm: 5.1803 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7595 loss: 1.7595 2022/08/03 00:39:04 - mmengine - INFO - Epoch(train) [69][740/1879] lr: 1.0000e-02 eta: 1 day, 3:51:09 time: 0.2858 data_time: 0.0271 memory: 8198 grad_norm: 5.2970 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.6593 loss: 1.6593 2022/08/03 00:39:10 - mmengine - INFO - Epoch(train) [69][760/1879] lr: 1.0000e-02 eta: 1 day, 3:51:03 time: 0.2830 data_time: 0.0246 memory: 8198 grad_norm: 5.1578 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6752 loss: 1.6752 2022/08/03 00:39:16 - mmengine - INFO - Epoch(train) [69][780/1879] lr: 1.0000e-02 eta: 1 day, 3:50:58 time: 0.2935 data_time: 0.0238 memory: 8198 grad_norm: 5.1659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6812 loss: 1.6812 2022/08/03 00:39:21 - mmengine - INFO - Epoch(train) [69][800/1879] lr: 1.0000e-02 eta: 1 day, 3:50:52 time: 0.2814 data_time: 0.0255 memory: 8198 grad_norm: 5.1903 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5695 loss: 1.5695 2022/08/03 00:39:27 - mmengine - INFO - Epoch(train) [69][820/1879] lr: 1.0000e-02 eta: 1 day, 3:50:46 time: 0.2857 data_time: 0.0333 memory: 8198 grad_norm: 5.2136 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4636 loss: 1.4636 2022/08/03 00:39:33 - mmengine - INFO - Epoch(train) [69][840/1879] lr: 1.0000e-02 eta: 1 day, 3:50:41 time: 0.2838 data_time: 0.0207 memory: 8198 grad_norm: 5.2755 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7390 loss: 1.7390 2022/08/03 00:39:38 - mmengine - INFO - Epoch(train) [69][860/1879] lr: 1.0000e-02 eta: 1 day, 3:50:35 time: 0.2841 data_time: 0.0226 memory: 8198 grad_norm: 5.2665 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5455 loss: 1.5455 2022/08/03 00:39:44 - mmengine - INFO - Epoch(train) [69][880/1879] lr: 1.0000e-02 eta: 1 day, 3:50:30 time: 0.2925 data_time: 0.0226 memory: 8198 grad_norm: 5.1818 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6228 loss: 1.6228 2022/08/03 00:39:50 - mmengine - INFO - Epoch(train) [69][900/1879] lr: 1.0000e-02 eta: 1 day, 3:50:24 time: 0.2812 data_time: 0.0256 memory: 8198 grad_norm: 5.2855 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7490 loss: 1.7490 2022/08/03 00:39:56 - mmengine - INFO - Epoch(train) [69][920/1879] lr: 1.0000e-02 eta: 1 day, 3:50:18 time: 0.2891 data_time: 0.0265 memory: 8198 grad_norm: 5.1361 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6508 loss: 1.6508 2022/08/03 00:40:01 - mmengine - INFO - Epoch(train) [69][940/1879] lr: 1.0000e-02 eta: 1 day, 3:50:13 time: 0.2805 data_time: 0.0237 memory: 8198 grad_norm: 5.2701 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7637 loss: 1.7637 2022/08/03 00:40:07 - mmengine - INFO - Epoch(train) [69][960/1879] lr: 1.0000e-02 eta: 1 day, 3:50:07 time: 0.2811 data_time: 0.0220 memory: 8198 grad_norm: 5.2244 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4705 loss: 1.4705 2022/08/03 00:40:13 - mmengine - INFO - Epoch(train) [69][980/1879] lr: 1.0000e-02 eta: 1 day, 3:50:02 time: 0.3015 data_time: 0.0255 memory: 8198 grad_norm: 5.0828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7354 loss: 1.7354 2022/08/03 00:40:19 - mmengine - INFO - Epoch(train) [69][1000/1879] lr: 1.0000e-02 eta: 1 day, 3:49:56 time: 0.2792 data_time: 0.0194 memory: 8198 grad_norm: 5.2046 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7758 loss: 1.7758 2022/08/03 00:40:24 - mmengine - INFO - Epoch(train) [69][1020/1879] lr: 1.0000e-02 eta: 1 day, 3:49:50 time: 0.2845 data_time: 0.0256 memory: 8198 grad_norm: 5.2582 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6834 loss: 1.6834 2022/08/03 00:40:30 - mmengine - INFO - Epoch(train) [69][1040/1879] lr: 1.0000e-02 eta: 1 day, 3:49:44 time: 0.2798 data_time: 0.0197 memory: 8198 grad_norm: 5.3983 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5718 loss: 1.5718 2022/08/03 00:40:36 - mmengine - INFO - Epoch(train) [69][1060/1879] lr: 1.0000e-02 eta: 1 day, 3:49:39 time: 0.2931 data_time: 0.0274 memory: 8198 grad_norm: 5.2504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5605 loss: 1.5605 2022/08/03 00:40:41 - mmengine - INFO - Epoch(train) [69][1080/1879] lr: 1.0000e-02 eta: 1 day, 3:49:33 time: 0.2827 data_time: 0.0204 memory: 8198 grad_norm: 5.2792 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7782 loss: 1.7782 2022/08/03 00:40:47 - mmengine - INFO - Epoch(train) [69][1100/1879] lr: 1.0000e-02 eta: 1 day, 3:49:27 time: 0.2802 data_time: 0.0226 memory: 8198 grad_norm: 5.0960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5065 loss: 1.5065 2022/08/03 00:40:53 - mmengine - INFO - Epoch(train) [69][1120/1879] lr: 1.0000e-02 eta: 1 day, 3:49:22 time: 0.2834 data_time: 0.0234 memory: 8198 grad_norm: 5.2492 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7139 loss: 1.7139 2022/08/03 00:40:58 - mmengine - INFO - Epoch(train) [69][1140/1879] lr: 1.0000e-02 eta: 1 day, 3:49:16 time: 0.2840 data_time: 0.0229 memory: 8198 grad_norm: 5.3905 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6694 loss: 1.6694 2022/08/03 00:41:04 - mmengine - INFO - Epoch(train) [69][1160/1879] lr: 1.0000e-02 eta: 1 day, 3:49:10 time: 0.2809 data_time: 0.0213 memory: 8198 grad_norm: 5.2377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5218 loss: 1.5218 2022/08/03 00:41:10 - mmengine - INFO - Epoch(train) [69][1180/1879] lr: 1.0000e-02 eta: 1 day, 3:49:04 time: 0.2834 data_time: 0.0231 memory: 8198 grad_norm: 5.2760 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9539 loss: 1.9539 2022/08/03 00:41:15 - mmengine - INFO - Epoch(train) [69][1200/1879] lr: 1.0000e-02 eta: 1 day, 3:48:59 time: 0.2879 data_time: 0.0271 memory: 8198 grad_norm: 5.3283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8451 loss: 1.8451 2022/08/03 00:41:21 - mmengine - INFO - Epoch(train) [69][1220/1879] lr: 1.0000e-02 eta: 1 day, 3:48:53 time: 0.2836 data_time: 0.0224 memory: 8198 grad_norm: 5.3178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6343 loss: 1.6343 2022/08/03 00:41:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:41:27 - mmengine - INFO - Epoch(train) [69][1240/1879] lr: 1.0000e-02 eta: 1 day, 3:48:47 time: 0.2828 data_time: 0.0220 memory: 8198 grad_norm: 5.3179 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6282 loss: 1.6282 2022/08/03 00:41:33 - mmengine - INFO - Epoch(train) [69][1260/1879] lr: 1.0000e-02 eta: 1 day, 3:48:42 time: 0.2894 data_time: 0.0277 memory: 8198 grad_norm: 5.2472 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7122 loss: 1.7122 2022/08/03 00:41:38 - mmengine - INFO - Epoch(train) [69][1280/1879] lr: 1.0000e-02 eta: 1 day, 3:48:36 time: 0.2798 data_time: 0.0204 memory: 8198 grad_norm: 5.2062 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6332 loss: 1.6332 2022/08/03 00:41:44 - mmengine - INFO - Epoch(train) [69][1300/1879] lr: 1.0000e-02 eta: 1 day, 3:48:30 time: 0.2834 data_time: 0.0195 memory: 8198 grad_norm: 5.2066 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6979 loss: 1.6979 2022/08/03 00:41:50 - mmengine - INFO - Epoch(train) [69][1320/1879] lr: 1.0000e-02 eta: 1 day, 3:48:25 time: 0.2851 data_time: 0.0265 memory: 8198 grad_norm: 5.2377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8045 loss: 1.8045 2022/08/03 00:41:55 - mmengine - INFO - Epoch(train) [69][1340/1879] lr: 1.0000e-02 eta: 1 day, 3:48:19 time: 0.2931 data_time: 0.0206 memory: 8198 grad_norm: 5.3404 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6131 loss: 1.6131 2022/08/03 00:42:01 - mmengine - INFO - Epoch(train) [69][1360/1879] lr: 1.0000e-02 eta: 1 day, 3:48:13 time: 0.2792 data_time: 0.0247 memory: 8198 grad_norm: 5.4617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7504 loss: 1.7504 2022/08/03 00:42:07 - mmengine - INFO - Epoch(train) [69][1380/1879] lr: 1.0000e-02 eta: 1 day, 3:48:08 time: 0.2899 data_time: 0.0262 memory: 8198 grad_norm: 5.3105 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8470 loss: 1.8470 2022/08/03 00:42:13 - mmengine - INFO - Epoch(train) [69][1400/1879] lr: 1.0000e-02 eta: 1 day, 3:48:02 time: 0.2851 data_time: 0.0254 memory: 8198 grad_norm: 5.3017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8322 loss: 1.8322 2022/08/03 00:42:18 - mmengine - INFO - Epoch(train) [69][1420/1879] lr: 1.0000e-02 eta: 1 day, 3:47:57 time: 0.2836 data_time: 0.0201 memory: 8198 grad_norm: 5.1964 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7974 loss: 1.7974 2022/08/03 00:42:24 - mmengine - INFO - Epoch(train) [69][1440/1879] lr: 1.0000e-02 eta: 1 day, 3:47:51 time: 0.2832 data_time: 0.0252 memory: 8198 grad_norm: 5.2235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7453 loss: 1.7453 2022/08/03 00:42:30 - mmengine - INFO - Epoch(train) [69][1460/1879] lr: 1.0000e-02 eta: 1 day, 3:47:46 time: 0.2967 data_time: 0.0216 memory: 8198 grad_norm: 5.3207 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9822 loss: 1.9822 2022/08/03 00:42:36 - mmengine - INFO - Epoch(train) [69][1480/1879] lr: 1.0000e-02 eta: 1 day, 3:47:40 time: 0.2849 data_time: 0.0197 memory: 8198 grad_norm: 5.4092 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/08/03 00:42:41 - mmengine - INFO - Epoch(train) [69][1500/1879] lr: 1.0000e-02 eta: 1 day, 3:47:34 time: 0.2841 data_time: 0.0234 memory: 8198 grad_norm: 5.2118 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9024 loss: 1.9024 2022/08/03 00:42:47 - mmengine - INFO - Epoch(train) [69][1520/1879] lr: 1.0000e-02 eta: 1 day, 3:47:29 time: 0.2886 data_time: 0.0220 memory: 8198 grad_norm: 5.0466 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6211 loss: 1.6211 2022/08/03 00:42:53 - mmengine - INFO - Epoch(train) [69][1540/1879] lr: 1.0000e-02 eta: 1 day, 3:47:23 time: 0.2866 data_time: 0.0242 memory: 8198 grad_norm: 5.0693 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8208 loss: 1.8208 2022/08/03 00:42:58 - mmengine - INFO - Epoch(train) [69][1560/1879] lr: 1.0000e-02 eta: 1 day, 3:47:17 time: 0.2788 data_time: 0.0236 memory: 8198 grad_norm: 5.2759 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6942 loss: 1.6942 2022/08/03 00:43:04 - mmengine - INFO - Epoch(train) [69][1580/1879] lr: 1.0000e-02 eta: 1 day, 3:47:12 time: 0.2860 data_time: 0.0199 memory: 8198 grad_norm: 5.3076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7482 loss: 1.7482 2022/08/03 00:43:10 - mmengine - INFO - Epoch(train) [69][1600/1879] lr: 1.0000e-02 eta: 1 day, 3:47:06 time: 0.2894 data_time: 0.0187 memory: 8198 grad_norm: 5.2644 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6078 loss: 1.6078 2022/08/03 00:43:16 - mmengine - INFO - Epoch(train) [69][1620/1879] lr: 1.0000e-02 eta: 1 day, 3:47:01 time: 0.2809 data_time: 0.0211 memory: 8198 grad_norm: 5.3084 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6958 loss: 1.6958 2022/08/03 00:43:21 - mmengine - INFO - Epoch(train) [69][1640/1879] lr: 1.0000e-02 eta: 1 day, 3:46:55 time: 0.2820 data_time: 0.0232 memory: 8198 grad_norm: 5.2648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4807 loss: 1.4807 2022/08/03 00:43:27 - mmengine - INFO - Epoch(train) [69][1660/1879] lr: 1.0000e-02 eta: 1 day, 3:46:49 time: 0.2849 data_time: 0.0224 memory: 8198 grad_norm: 5.2267 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8529 loss: 1.8529 2022/08/03 00:43:33 - mmengine - INFO - Epoch(train) [69][1680/1879] lr: 1.0000e-02 eta: 1 day, 3:46:43 time: 0.2824 data_time: 0.0219 memory: 8198 grad_norm: 5.3887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5963 loss: 1.5963 2022/08/03 00:43:38 - mmengine - INFO - Epoch(train) [69][1700/1879] lr: 1.0000e-02 eta: 1 day, 3:46:38 time: 0.2855 data_time: 0.0254 memory: 8198 grad_norm: 5.1687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6729 loss: 1.6729 2022/08/03 00:43:45 - mmengine - INFO - Epoch(train) [69][1720/1879] lr: 1.0000e-02 eta: 1 day, 3:46:33 time: 0.3069 data_time: 0.0177 memory: 8198 grad_norm: 5.1856 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7424 loss: 1.7424 2022/08/03 00:43:50 - mmengine - INFO - Epoch(train) [69][1740/1879] lr: 1.0000e-02 eta: 1 day, 3:46:27 time: 0.2814 data_time: 0.0221 memory: 8198 grad_norm: 5.1463 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9237 loss: 1.9237 2022/08/03 00:43:56 - mmengine - INFO - Epoch(train) [69][1760/1879] lr: 1.0000e-02 eta: 1 day, 3:46:21 time: 0.2819 data_time: 0.0224 memory: 8198 grad_norm: 5.3947 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7328 loss: 1.7328 2022/08/03 00:44:02 - mmengine - INFO - Epoch(train) [69][1780/1879] lr: 1.0000e-02 eta: 1 day, 3:46:16 time: 0.2854 data_time: 0.0239 memory: 8198 grad_norm: 5.2763 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8468 loss: 1.8468 2022/08/03 00:44:07 - mmengine - INFO - Epoch(train) [69][1800/1879] lr: 1.0000e-02 eta: 1 day, 3:46:11 time: 0.2925 data_time: 0.0187 memory: 8198 grad_norm: 5.2934 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4754 loss: 1.4754 2022/08/03 00:44:13 - mmengine - INFO - Epoch(train) [69][1820/1879] lr: 1.0000e-02 eta: 1 day, 3:46:05 time: 0.2913 data_time: 0.0248 memory: 8198 grad_norm: 5.2409 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6277 loss: 1.6277 2022/08/03 00:44:19 - mmengine - INFO - Epoch(train) [69][1840/1879] lr: 1.0000e-02 eta: 1 day, 3:45:59 time: 0.2792 data_time: 0.0199 memory: 8198 grad_norm: 5.3145 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6264 loss: 1.6264 2022/08/03 00:44:25 - mmengine - INFO - Epoch(train) [69][1860/1879] lr: 1.0000e-02 eta: 1 day, 3:45:54 time: 0.2840 data_time: 0.0251 memory: 8198 grad_norm: 5.3076 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7846 loss: 1.7846 2022/08/03 00:44:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:44:29 - mmengine - INFO - Epoch(train) [69][1879/1879] lr: 1.0000e-02 eta: 1 day, 3:45:54 time: 0.2545 data_time: 0.0167 memory: 8198 grad_norm: 5.1560 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.7309 loss: 1.7309 2022/08/03 00:44:38 - mmengine - INFO - Epoch(train) [70][20/1879] lr: 1.0000e-02 eta: 1 day, 3:45:35 time: 0.4100 data_time: 0.0992 memory: 8198 grad_norm: 5.1488 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5879 loss: 1.5879 2022/08/03 00:44:44 - mmengine - INFO - Epoch(train) [70][40/1879] lr: 1.0000e-02 eta: 1 day, 3:45:30 time: 0.3008 data_time: 0.0229 memory: 8198 grad_norm: 5.2129 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6802 loss: 1.6802 2022/08/03 00:44:49 - mmengine - INFO - Epoch(train) [70][60/1879] lr: 1.0000e-02 eta: 1 day, 3:45:24 time: 0.2838 data_time: 0.0225 memory: 8198 grad_norm: 5.3058 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5043 loss: 1.5043 2022/08/03 00:44:55 - mmengine - INFO - Epoch(train) [70][80/1879] lr: 1.0000e-02 eta: 1 day, 3:45:18 time: 0.2809 data_time: 0.0189 memory: 8198 grad_norm: 5.3143 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5219 loss: 1.5219 2022/08/03 00:45:01 - mmengine - INFO - Epoch(train) [70][100/1879] lr: 1.0000e-02 eta: 1 day, 3:45:12 time: 0.2834 data_time: 0.0206 memory: 8198 grad_norm: 5.3727 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6207 loss: 1.6207 2022/08/03 00:45:06 - mmengine - INFO - Epoch(train) [70][120/1879] lr: 1.0000e-02 eta: 1 day, 3:45:07 time: 0.2901 data_time: 0.0230 memory: 8198 grad_norm: 5.2720 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6038 loss: 1.6038 2022/08/03 00:45:12 - mmengine - INFO - Epoch(train) [70][140/1879] lr: 1.0000e-02 eta: 1 day, 3:45:01 time: 0.2829 data_time: 0.0253 memory: 8198 grad_norm: 5.2138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7232 loss: 1.7232 2022/08/03 00:45:18 - mmengine - INFO - Epoch(train) [70][160/1879] lr: 1.0000e-02 eta: 1 day, 3:44:55 time: 0.2801 data_time: 0.0187 memory: 8198 grad_norm: 5.2817 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6080 loss: 1.6080 2022/08/03 00:45:24 - mmengine - INFO - Epoch(train) [70][180/1879] lr: 1.0000e-02 eta: 1 day, 3:44:51 time: 0.2995 data_time: 0.0214 memory: 8198 grad_norm: 5.2758 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6877 loss: 1.6877 2022/08/03 00:45:29 - mmengine - INFO - Epoch(train) [70][200/1879] lr: 1.0000e-02 eta: 1 day, 3:44:45 time: 0.2820 data_time: 0.0223 memory: 8198 grad_norm: 5.3016 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6933 loss: 1.6933 2022/08/03 00:45:35 - mmengine - INFO - Epoch(train) [70][220/1879] lr: 1.0000e-02 eta: 1 day, 3:44:39 time: 0.2876 data_time: 0.0209 memory: 8198 grad_norm: 5.2745 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7844 loss: 1.7844 2022/08/03 00:45:41 - mmengine - INFO - Epoch(train) [70][240/1879] lr: 1.0000e-02 eta: 1 day, 3:44:33 time: 0.2835 data_time: 0.0250 memory: 8198 grad_norm: 5.1631 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4904 loss: 1.4904 2022/08/03 00:45:47 - mmengine - INFO - Epoch(train) [70][260/1879] lr: 1.0000e-02 eta: 1 day, 3:44:28 time: 0.2864 data_time: 0.0224 memory: 8198 grad_norm: 5.1684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6260 loss: 1.6260 2022/08/03 00:45:52 - mmengine - INFO - Epoch(train) [70][280/1879] lr: 1.0000e-02 eta: 1 day, 3:44:22 time: 0.2849 data_time: 0.0227 memory: 8198 grad_norm: 5.1267 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3827 loss: 1.3827 2022/08/03 00:45:58 - mmengine - INFO - Epoch(train) [70][300/1879] lr: 1.0000e-02 eta: 1 day, 3:44:16 time: 0.2818 data_time: 0.0215 memory: 8198 grad_norm: 5.2234 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5378 loss: 1.5378 2022/08/03 00:46:04 - mmengine - INFO - Epoch(train) [70][320/1879] lr: 1.0000e-02 eta: 1 day, 3:44:11 time: 0.2833 data_time: 0.0206 memory: 8198 grad_norm: 5.1166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6362 loss: 1.6362 2022/08/03 00:46:09 - mmengine - INFO - Epoch(train) [70][340/1879] lr: 1.0000e-02 eta: 1 day, 3:44:05 time: 0.2815 data_time: 0.0236 memory: 8198 grad_norm: 5.3535 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8193 loss: 1.8193 2022/08/03 00:46:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:46:15 - mmengine - INFO - Epoch(train) [70][360/1879] lr: 1.0000e-02 eta: 1 day, 3:43:59 time: 0.2811 data_time: 0.0206 memory: 8198 grad_norm: 5.3061 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6207 loss: 1.6207 2022/08/03 00:46:21 - mmengine - INFO - Epoch(train) [70][380/1879] lr: 1.0000e-02 eta: 1 day, 3:43:53 time: 0.2828 data_time: 0.0224 memory: 8198 grad_norm: 5.1707 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8295 loss: 1.8295 2022/08/03 00:46:26 - mmengine - INFO - Epoch(train) [70][400/1879] lr: 1.0000e-02 eta: 1 day, 3:43:47 time: 0.2808 data_time: 0.0233 memory: 8198 grad_norm: 5.2629 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8871 loss: 1.8871 2022/08/03 00:46:32 - mmengine - INFO - Epoch(train) [70][420/1879] lr: 1.0000e-02 eta: 1 day, 3:43:42 time: 0.2870 data_time: 0.0283 memory: 8198 grad_norm: 5.2268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5846 loss: 1.5846 2022/08/03 00:46:38 - mmengine - INFO - Epoch(train) [70][440/1879] lr: 1.0000e-02 eta: 1 day, 3:43:36 time: 0.2822 data_time: 0.0186 memory: 8198 grad_norm: 5.3579 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6434 loss: 1.6434 2022/08/03 00:46:43 - mmengine - INFO - Epoch(train) [70][460/1879] lr: 1.0000e-02 eta: 1 day, 3:43:30 time: 0.2858 data_time: 0.0285 memory: 8198 grad_norm: 5.1816 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6008 loss: 1.6008 2022/08/03 00:46:49 - mmengine - INFO - Epoch(train) [70][480/1879] lr: 1.0000e-02 eta: 1 day, 3:43:25 time: 0.2842 data_time: 0.0222 memory: 8198 grad_norm: 5.1346 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8028 loss: 1.8028 2022/08/03 00:46:55 - mmengine - INFO - Epoch(train) [70][500/1879] lr: 1.0000e-02 eta: 1 day, 3:43:19 time: 0.2878 data_time: 0.0276 memory: 8198 grad_norm: 5.1132 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5977 loss: 1.5977 2022/08/03 00:47:00 - mmengine - INFO - Epoch(train) [70][520/1879] lr: 1.0000e-02 eta: 1 day, 3:43:13 time: 0.2814 data_time: 0.0244 memory: 8198 grad_norm: 5.1918 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5979 loss: 1.5979 2022/08/03 00:47:06 - mmengine - INFO - Epoch(train) [70][540/1879] lr: 1.0000e-02 eta: 1 day, 3:43:08 time: 0.2860 data_time: 0.0268 memory: 8198 grad_norm: 5.1698 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6196 loss: 1.6196 2022/08/03 00:47:12 - mmengine - INFO - Epoch(train) [70][560/1879] lr: 1.0000e-02 eta: 1 day, 3:43:02 time: 0.2800 data_time: 0.0186 memory: 8198 grad_norm: 5.2088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5217 loss: 1.5217 2022/08/03 00:47:18 - mmengine - INFO - Epoch(train) [70][580/1879] lr: 1.0000e-02 eta: 1 day, 3:42:56 time: 0.2895 data_time: 0.0230 memory: 8198 grad_norm: 5.2060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6566 loss: 1.6566 2022/08/03 00:47:23 - mmengine - INFO - Epoch(train) [70][600/1879] lr: 1.0000e-02 eta: 1 day, 3:42:51 time: 0.2908 data_time: 0.0302 memory: 8198 grad_norm: 5.2838 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6330 loss: 1.6330 2022/08/03 00:47:29 - mmengine - INFO - Epoch(train) [70][620/1879] lr: 1.0000e-02 eta: 1 day, 3:42:45 time: 0.2797 data_time: 0.0214 memory: 8198 grad_norm: 5.1723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/08/03 00:47:35 - mmengine - INFO - Epoch(train) [70][640/1879] lr: 1.0000e-02 eta: 1 day, 3:42:39 time: 0.2804 data_time: 0.0246 memory: 8198 grad_norm: 5.3571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6004 loss: 1.6004 2022/08/03 00:47:40 - mmengine - INFO - Epoch(train) [70][660/1879] lr: 1.0000e-02 eta: 1 day, 3:42:33 time: 0.2828 data_time: 0.0213 memory: 8198 grad_norm: 5.0893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7469 loss: 1.7469 2022/08/03 00:47:46 - mmengine - INFO - Epoch(train) [70][680/1879] lr: 1.0000e-02 eta: 1 day, 3:42:28 time: 0.2909 data_time: 0.0240 memory: 8198 grad_norm: 5.3546 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5418 loss: 1.5418 2022/08/03 00:47:52 - mmengine - INFO - Epoch(train) [70][700/1879] lr: 1.0000e-02 eta: 1 day, 3:42:22 time: 0.2805 data_time: 0.0265 memory: 8198 grad_norm: 5.3306 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5529 loss: 1.5529 2022/08/03 00:47:57 - mmengine - INFO - Epoch(train) [70][720/1879] lr: 1.0000e-02 eta: 1 day, 3:42:16 time: 0.2835 data_time: 0.0235 memory: 8198 grad_norm: 5.2287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5829 loss: 1.5829 2022/08/03 00:48:03 - mmengine - INFO - Epoch(train) [70][740/1879] lr: 1.0000e-02 eta: 1 day, 3:42:11 time: 0.2835 data_time: 0.0218 memory: 8198 grad_norm: 5.3879 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6264 loss: 1.6264 2022/08/03 00:48:09 - mmengine - INFO - Epoch(train) [70][760/1879] lr: 1.0000e-02 eta: 1 day, 3:42:05 time: 0.2822 data_time: 0.0235 memory: 8198 grad_norm: 5.1239 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6490 loss: 1.6490 2022/08/03 00:48:15 - mmengine - INFO - Epoch(train) [70][780/1879] lr: 1.0000e-02 eta: 1 day, 3:41:59 time: 0.2894 data_time: 0.0235 memory: 8198 grad_norm: 5.3198 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8683 loss: 1.8683 2022/08/03 00:48:20 - mmengine - INFO - Epoch(train) [70][800/1879] lr: 1.0000e-02 eta: 1 day, 3:41:54 time: 0.2840 data_time: 0.0296 memory: 8198 grad_norm: 5.2967 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5667 loss: 1.5667 2022/08/03 00:48:26 - mmengine - INFO - Epoch(train) [70][820/1879] lr: 1.0000e-02 eta: 1 day, 3:41:48 time: 0.2861 data_time: 0.0251 memory: 8198 grad_norm: 5.2456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5753 loss: 1.5753 2022/08/03 00:48:32 - mmengine - INFO - Epoch(train) [70][840/1879] lr: 1.0000e-02 eta: 1 day, 3:41:42 time: 0.2832 data_time: 0.0265 memory: 8198 grad_norm: 5.2748 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7641 loss: 1.7641 2022/08/03 00:48:37 - mmengine - INFO - Epoch(train) [70][860/1879] lr: 1.0000e-02 eta: 1 day, 3:41:37 time: 0.2866 data_time: 0.0252 memory: 8198 grad_norm: 5.0761 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7017 loss: 1.7017 2022/08/03 00:48:43 - mmengine - INFO - Epoch(train) [70][880/1879] lr: 1.0000e-02 eta: 1 day, 3:41:31 time: 0.2913 data_time: 0.0224 memory: 8198 grad_norm: 5.2833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8443 loss: 1.8443 2022/08/03 00:48:49 - mmengine - INFO - Epoch(train) [70][900/1879] lr: 1.0000e-02 eta: 1 day, 3:41:25 time: 0.2807 data_time: 0.0234 memory: 8198 grad_norm: 5.2126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8415 loss: 1.8415 2022/08/03 00:48:55 - mmengine - INFO - Epoch(train) [70][920/1879] lr: 1.0000e-02 eta: 1 day, 3:41:20 time: 0.2814 data_time: 0.0237 memory: 8198 grad_norm: 5.0136 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6465 loss: 1.6465 2022/08/03 00:49:00 - mmengine - INFO - Epoch(train) [70][940/1879] lr: 1.0000e-02 eta: 1 day, 3:41:14 time: 0.2817 data_time: 0.0211 memory: 8198 grad_norm: 5.1957 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6631 loss: 1.6631 2022/08/03 00:49:06 - mmengine - INFO - Epoch(train) [70][960/1879] lr: 1.0000e-02 eta: 1 day, 3:41:08 time: 0.2850 data_time: 0.0329 memory: 8198 grad_norm: 5.3070 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7516 loss: 1.7516 2022/08/03 00:49:12 - mmengine - INFO - Epoch(train) [70][980/1879] lr: 1.0000e-02 eta: 1 day, 3:41:02 time: 0.2805 data_time: 0.0229 memory: 8198 grad_norm: 5.0985 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7369 loss: 1.7369 2022/08/03 00:49:17 - mmengine - INFO - Epoch(train) [70][1000/1879] lr: 1.0000e-02 eta: 1 day, 3:40:57 time: 0.2864 data_time: 0.0268 memory: 8198 grad_norm: 5.3839 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9691 loss: 1.9691 2022/08/03 00:49:23 - mmengine - INFO - Epoch(train) [70][1020/1879] lr: 1.0000e-02 eta: 1 day, 3:40:52 time: 0.2989 data_time: 0.0236 memory: 8198 grad_norm: 5.2581 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7405 loss: 1.7405 2022/08/03 00:49:29 - mmengine - INFO - Epoch(train) [70][1040/1879] lr: 1.0000e-02 eta: 1 day, 3:40:46 time: 0.2794 data_time: 0.0213 memory: 8198 grad_norm: 5.3268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9799 loss: 1.9799 2022/08/03 00:49:35 - mmengine - INFO - Epoch(train) [70][1060/1879] lr: 1.0000e-02 eta: 1 day, 3:40:40 time: 0.2849 data_time: 0.0249 memory: 8198 grad_norm: 5.3134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7928 loss: 1.7928 2022/08/03 00:49:40 - mmengine - INFO - Epoch(train) [70][1080/1879] lr: 1.0000e-02 eta: 1 day, 3:40:34 time: 0.2848 data_time: 0.0259 memory: 8198 grad_norm: 5.1013 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7059 loss: 1.7059 2022/08/03 00:49:46 - mmengine - INFO - Epoch(train) [70][1100/1879] lr: 1.0000e-02 eta: 1 day, 3:40:30 time: 0.3002 data_time: 0.0228 memory: 8198 grad_norm: 5.4037 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7395 loss: 1.7395 2022/08/03 00:49:52 - mmengine - INFO - Epoch(train) [70][1120/1879] lr: 1.0000e-02 eta: 1 day, 3:40:24 time: 0.2826 data_time: 0.0206 memory: 8198 grad_norm: 5.2962 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7879 loss: 1.7879 2022/08/03 00:49:58 - mmengine - INFO - Epoch(train) [70][1140/1879] lr: 1.0000e-02 eta: 1 day, 3:40:18 time: 0.2896 data_time: 0.0250 memory: 8198 grad_norm: 5.3811 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7667 loss: 1.7667 2022/08/03 00:50:04 - mmengine - INFO - Epoch(train) [70][1160/1879] lr: 1.0000e-02 eta: 1 day, 3:40:13 time: 0.2964 data_time: 0.0170 memory: 8198 grad_norm: 5.3144 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5715 loss: 1.5715 2022/08/03 00:50:09 - mmengine - INFO - Epoch(train) [70][1180/1879] lr: 1.0000e-02 eta: 1 day, 3:40:07 time: 0.2806 data_time: 0.0229 memory: 8198 grad_norm: 5.2651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7099 loss: 1.7099 2022/08/03 00:50:15 - mmengine - INFO - Epoch(train) [70][1200/1879] lr: 1.0000e-02 eta: 1 day, 3:40:02 time: 0.2798 data_time: 0.0248 memory: 8198 grad_norm: 5.0995 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6020 loss: 1.6020 2022/08/03 00:50:21 - mmengine - INFO - Epoch(train) [70][1220/1879] lr: 1.0000e-02 eta: 1 day, 3:39:56 time: 0.2801 data_time: 0.0225 memory: 8198 grad_norm: 5.1900 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7534 loss: 1.7534 2022/08/03 00:50:26 - mmengine - INFO - Epoch(train) [70][1240/1879] lr: 1.0000e-02 eta: 1 day, 3:39:50 time: 0.2900 data_time: 0.0197 memory: 8198 grad_norm: 5.0716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7321 loss: 1.7321 2022/08/03 00:50:32 - mmengine - INFO - Epoch(train) [70][1260/1879] lr: 1.0000e-02 eta: 1 day, 3:39:44 time: 0.2831 data_time: 0.0261 memory: 8198 grad_norm: 5.2376 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5755 loss: 1.5755 2022/08/03 00:50:38 - mmengine - INFO - Epoch(train) [70][1280/1879] lr: 1.0000e-02 eta: 1 day, 3:39:39 time: 0.2816 data_time: 0.0207 memory: 8198 grad_norm: 5.2116 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6654 loss: 1.6654 2022/08/03 00:50:44 - mmengine - INFO - Epoch(train) [70][1300/1879] lr: 1.0000e-02 eta: 1 day, 3:39:33 time: 0.2927 data_time: 0.0229 memory: 8198 grad_norm: 5.3296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7718 loss: 1.7718 2022/08/03 00:50:49 - mmengine - INFO - Epoch(train) [70][1320/1879] lr: 1.0000e-02 eta: 1 day, 3:39:28 time: 0.2824 data_time: 0.0191 memory: 8198 grad_norm: 5.3103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7343 loss: 1.7343 2022/08/03 00:50:55 - mmengine - INFO - Epoch(train) [70][1340/1879] lr: 1.0000e-02 eta: 1 day, 3:39:22 time: 0.2843 data_time: 0.0205 memory: 8198 grad_norm: 5.2220 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7648 loss: 1.7648 2022/08/03 00:50:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:51:01 - mmengine - INFO - Epoch(train) [70][1360/1879] lr: 1.0000e-02 eta: 1 day, 3:39:16 time: 0.2804 data_time: 0.0198 memory: 8198 grad_norm: 5.2733 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8493 loss: 1.8493 2022/08/03 00:51:06 - mmengine - INFO - Epoch(train) [70][1380/1879] lr: 1.0000e-02 eta: 1 day, 3:39:11 time: 0.2906 data_time: 0.0295 memory: 8198 grad_norm: 5.2039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/08/03 00:51:12 - mmengine - INFO - Epoch(train) [70][1400/1879] lr: 1.0000e-02 eta: 1 day, 3:39:05 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 5.1457 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5860 loss: 1.5860 2022/08/03 00:51:18 - mmengine - INFO - Epoch(train) [70][1420/1879] lr: 1.0000e-02 eta: 1 day, 3:38:59 time: 0.2878 data_time: 0.0207 memory: 8198 grad_norm: 5.2124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6972 loss: 1.6972 2022/08/03 00:51:23 - mmengine - INFO - Epoch(train) [70][1440/1879] lr: 1.0000e-02 eta: 1 day, 3:38:54 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 5.2754 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7504 loss: 1.7504 2022/08/03 00:51:29 - mmengine - INFO - Epoch(train) [70][1460/1879] lr: 1.0000e-02 eta: 1 day, 3:38:49 time: 0.2942 data_time: 0.0232 memory: 8198 grad_norm: 5.1928 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/08/03 00:51:35 - mmengine - INFO - Epoch(train) [70][1480/1879] lr: 1.0000e-02 eta: 1 day, 3:38:43 time: 0.2820 data_time: 0.0228 memory: 8198 grad_norm: 5.5326 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/08/03 00:51:41 - mmengine - INFO - Epoch(train) [70][1500/1879] lr: 1.0000e-02 eta: 1 day, 3:38:37 time: 0.2808 data_time: 0.0231 memory: 8198 grad_norm: 5.2645 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7104 loss: 1.7104 2022/08/03 00:51:46 - mmengine - INFO - Epoch(train) [70][1520/1879] lr: 1.0000e-02 eta: 1 day, 3:38:31 time: 0.2863 data_time: 0.0221 memory: 8198 grad_norm: 5.3277 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8118 loss: 1.8118 2022/08/03 00:51:52 - mmengine - INFO - Epoch(train) [70][1540/1879] lr: 1.0000e-02 eta: 1 day, 3:38:25 time: 0.2838 data_time: 0.0254 memory: 8198 grad_norm: 5.2853 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8325 loss: 1.8325 2022/08/03 00:51:58 - mmengine - INFO - Epoch(train) [70][1560/1879] lr: 1.0000e-02 eta: 1 day, 3:38:20 time: 0.2842 data_time: 0.0171 memory: 8198 grad_norm: 5.3307 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5477 loss: 1.5477 2022/08/03 00:52:04 - mmengine - INFO - Epoch(train) [70][1580/1879] lr: 1.0000e-02 eta: 1 day, 3:38:15 time: 0.2928 data_time: 0.0283 memory: 8198 grad_norm: 5.3047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7381 loss: 1.7381 2022/08/03 00:52:09 - mmengine - INFO - Epoch(train) [70][1600/1879] lr: 1.0000e-02 eta: 1 day, 3:38:09 time: 0.2796 data_time: 0.0205 memory: 8198 grad_norm: 5.3530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8055 loss: 1.8055 2022/08/03 00:52:15 - mmengine - INFO - Epoch(train) [70][1620/1879] lr: 1.0000e-02 eta: 1 day, 3:38:03 time: 0.2825 data_time: 0.0261 memory: 8198 grad_norm: 5.3171 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7773 loss: 1.7773 2022/08/03 00:52:21 - mmengine - INFO - Epoch(train) [70][1640/1879] lr: 1.0000e-02 eta: 1 day, 3:37:57 time: 0.2823 data_time: 0.0224 memory: 8198 grad_norm: 5.1770 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/08/03 00:52:27 - mmengine - INFO - Epoch(train) [70][1660/1879] lr: 1.0000e-02 eta: 1 day, 3:37:53 time: 0.3156 data_time: 0.0209 memory: 8198 grad_norm: 5.2529 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8514 loss: 1.8514 2022/08/03 00:52:33 - mmengine - INFO - Epoch(train) [70][1680/1879] lr: 1.0000e-02 eta: 1 day, 3:37:47 time: 0.2812 data_time: 0.0223 memory: 8198 grad_norm: 5.3191 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8604 loss: 1.8604 2022/08/03 00:52:38 - mmengine - INFO - Epoch(train) [70][1700/1879] lr: 1.0000e-02 eta: 1 day, 3:37:41 time: 0.2836 data_time: 0.0249 memory: 8198 grad_norm: 5.1874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/08/03 00:52:44 - mmengine - INFO - Epoch(train) [70][1720/1879] lr: 1.0000e-02 eta: 1 day, 3:37:36 time: 0.2891 data_time: 0.0207 memory: 8198 grad_norm: 5.2140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6648 loss: 1.6648 2022/08/03 00:52:50 - mmengine - INFO - Epoch(train) [70][1740/1879] lr: 1.0000e-02 eta: 1 day, 3:37:30 time: 0.2839 data_time: 0.0250 memory: 8198 grad_norm: 5.2311 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6868 loss: 1.6868 2022/08/03 00:52:55 - mmengine - INFO - Epoch(train) [70][1760/1879] lr: 1.0000e-02 eta: 1 day, 3:37:25 time: 0.2853 data_time: 0.0270 memory: 8198 grad_norm: 5.2637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7547 loss: 1.7547 2022/08/03 00:53:01 - mmengine - INFO - Epoch(train) [70][1780/1879] lr: 1.0000e-02 eta: 1 day, 3:37:19 time: 0.2856 data_time: 0.0249 memory: 8198 grad_norm: 5.1945 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6415 loss: 1.6415 2022/08/03 00:53:07 - mmengine - INFO - Epoch(train) [70][1800/1879] lr: 1.0000e-02 eta: 1 day, 3:37:14 time: 0.2976 data_time: 0.0252 memory: 8198 grad_norm: 5.1029 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5141 loss: 1.5141 2022/08/03 00:53:13 - mmengine - INFO - Epoch(train) [70][1820/1879] lr: 1.0000e-02 eta: 1 day, 3:37:08 time: 0.2801 data_time: 0.0241 memory: 8198 grad_norm: 5.2681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8392 loss: 1.8392 2022/08/03 00:53:18 - mmengine - INFO - Epoch(train) [70][1840/1879] lr: 1.0000e-02 eta: 1 day, 3:37:02 time: 0.2810 data_time: 0.0238 memory: 8198 grad_norm: 5.4524 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6456 loss: 1.6456 2022/08/03 00:53:25 - mmengine - INFO - Epoch(train) [70][1860/1879] lr: 1.0000e-02 eta: 1 day, 3:36:58 time: 0.3142 data_time: 0.0221 memory: 8198 grad_norm: 5.1345 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8178 loss: 1.8178 2022/08/03 00:53:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:53:29 - mmengine - INFO - Epoch(train) [70][1879/1879] lr: 1.0000e-02 eta: 1 day, 3:36:58 time: 0.2518 data_time: 0.0139 memory: 8198 grad_norm: 5.2724 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7913 loss: 1.7913 2022/08/03 00:53:36 - mmengine - INFO - Epoch(val) [70][20/155] eta: 0:00:43 time: 0.3250 data_time: 0.2334 memory: 1514 2022/08/03 00:53:40 - mmengine - INFO - Epoch(val) [70][40/155] eta: 0:00:25 time: 0.2216 data_time: 0.1321 memory: 1514 2022/08/03 00:53:47 - mmengine - INFO - Epoch(val) [70][60/155] eta: 0:00:29 time: 0.3083 data_time: 0.2233 memory: 1514 2022/08/03 00:53:51 - mmengine - INFO - Epoch(val) [70][80/155] eta: 0:00:17 time: 0.2320 data_time: 0.1457 memory: 1514 2022/08/03 00:53:57 - mmengine - INFO - Epoch(val) [70][100/155] eta: 0:00:16 time: 0.3074 data_time: 0.2217 memory: 1514 2022/08/03 00:54:02 - mmengine - INFO - Epoch(val) [70][120/155] eta: 0:00:07 time: 0.2248 data_time: 0.1365 memory: 1514 2022/08/03 00:54:08 - mmengine - INFO - Epoch(val) [70][140/155] eta: 0:00:04 time: 0.3214 data_time: 0.2326 memory: 1514 2022/08/03 00:54:14 - mmengine - INFO - Epoch(val) [70][155/155] acc/top1: 0.6369 acc/top5: 0.8465 acc/mean1: 0.6368 2022/08/03 00:54:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_66.pth is removed 2022/08/03 00:54:16 - mmengine - INFO - The best checkpoint with 0.6369 acc/top1 at 71 epoch is saved to best_acc/top1_epoch_71.pth. 2022/08/03 00:54:24 - mmengine - INFO - Epoch(train) [71][20/1879] lr: 1.0000e-02 eta: 1 day, 3:36:38 time: 0.3799 data_time: 0.1155 memory: 8198 grad_norm: 5.1385 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6163 loss: 1.6163 2022/08/03 00:54:30 - mmengine - INFO - Epoch(train) [71][40/1879] lr: 1.0000e-02 eta: 1 day, 3:36:32 time: 0.2818 data_time: 0.0172 memory: 8198 grad_norm: 5.1246 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7418 loss: 1.7418 2022/08/03 00:54:35 - mmengine - INFO - Epoch(train) [71][60/1879] lr: 1.0000e-02 eta: 1 day, 3:36:26 time: 0.2822 data_time: 0.0221 memory: 8198 grad_norm: 5.2852 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5402 loss: 1.5402 2022/08/03 00:54:41 - mmengine - INFO - Epoch(train) [71][80/1879] lr: 1.0000e-02 eta: 1 day, 3:36:20 time: 0.2819 data_time: 0.0195 memory: 8198 grad_norm: 5.1104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4367 loss: 1.4367 2022/08/03 00:54:47 - mmengine - INFO - Epoch(train) [71][100/1879] lr: 1.0000e-02 eta: 1 day, 3:36:15 time: 0.2851 data_time: 0.0272 memory: 8198 grad_norm: 5.1930 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6147 loss: 1.6147 2022/08/03 00:54:52 - mmengine - INFO - Epoch(train) [71][120/1879] lr: 1.0000e-02 eta: 1 day, 3:36:09 time: 0.2834 data_time: 0.0196 memory: 8198 grad_norm: 5.3325 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8147 loss: 1.8147 2022/08/03 00:54:58 - mmengine - INFO - Epoch(train) [71][140/1879] lr: 1.0000e-02 eta: 1 day, 3:36:03 time: 0.2832 data_time: 0.0247 memory: 8198 grad_norm: 5.3018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5646 loss: 1.5646 2022/08/03 00:55:04 - mmengine - INFO - Epoch(train) [71][160/1879] lr: 1.0000e-02 eta: 1 day, 3:35:57 time: 0.2819 data_time: 0.0231 memory: 8198 grad_norm: 5.1587 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6402 loss: 1.6402 2022/08/03 00:55:09 - mmengine - INFO - Epoch(train) [71][180/1879] lr: 1.0000e-02 eta: 1 day, 3:35:52 time: 0.2841 data_time: 0.0220 memory: 8198 grad_norm: 5.0554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5602 loss: 1.5602 2022/08/03 00:55:15 - mmengine - INFO - Epoch(train) [71][200/1879] lr: 1.0000e-02 eta: 1 day, 3:35:46 time: 0.2850 data_time: 0.0238 memory: 8198 grad_norm: 5.2965 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7689 loss: 1.7689 2022/08/03 00:55:21 - mmengine - INFO - Epoch(train) [71][220/1879] lr: 1.0000e-02 eta: 1 day, 3:35:40 time: 0.2827 data_time: 0.0231 memory: 8198 grad_norm: 5.2227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6386 loss: 1.6386 2022/08/03 00:55:26 - mmengine - INFO - Epoch(train) [71][240/1879] lr: 1.0000e-02 eta: 1 day, 3:35:34 time: 0.2819 data_time: 0.0200 memory: 8198 grad_norm: 5.1960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/08/03 00:55:32 - mmengine - INFO - Epoch(train) [71][260/1879] lr: 1.0000e-02 eta: 1 day, 3:35:28 time: 0.2803 data_time: 0.0234 memory: 8198 grad_norm: 5.2603 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9388 loss: 1.9388 2022/08/03 00:55:38 - mmengine - INFO - Epoch(train) [71][280/1879] lr: 1.0000e-02 eta: 1 day, 3:35:23 time: 0.2855 data_time: 0.0256 memory: 8198 grad_norm: 5.3000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6775 loss: 1.6775 2022/08/03 00:55:44 - mmengine - INFO - Epoch(train) [71][300/1879] lr: 1.0000e-02 eta: 1 day, 3:35:18 time: 0.2934 data_time: 0.0219 memory: 8198 grad_norm: 5.3772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6146 loss: 1.6146 2022/08/03 00:55:49 - mmengine - INFO - Epoch(train) [71][320/1879] lr: 1.0000e-02 eta: 1 day, 3:35:12 time: 0.2840 data_time: 0.0241 memory: 8198 grad_norm: 5.2032 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5695 loss: 1.5695 2022/08/03 00:55:55 - mmengine - INFO - Epoch(train) [71][340/1879] lr: 1.0000e-02 eta: 1 day, 3:35:06 time: 0.2901 data_time: 0.0272 memory: 8198 grad_norm: 5.3226 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9108 loss: 1.9108 2022/08/03 00:56:01 - mmengine - INFO - Epoch(train) [71][360/1879] lr: 1.0000e-02 eta: 1 day, 3:35:00 time: 0.2792 data_time: 0.0195 memory: 8198 grad_norm: 5.1022 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/08/03 00:56:06 - mmengine - INFO - Epoch(train) [71][380/1879] lr: 1.0000e-02 eta: 1 day, 3:34:55 time: 0.2906 data_time: 0.0222 memory: 8198 grad_norm: 5.2113 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4771 loss: 1.4771 2022/08/03 00:56:12 - mmengine - INFO - Epoch(train) [71][400/1879] lr: 1.0000e-02 eta: 1 day, 3:34:49 time: 0.2824 data_time: 0.0199 memory: 8198 grad_norm: 5.2725 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4855 loss: 1.4855 2022/08/03 00:56:18 - mmengine - INFO - Epoch(train) [71][420/1879] lr: 1.0000e-02 eta: 1 day, 3:34:44 time: 0.2877 data_time: 0.0247 memory: 8198 grad_norm: 5.1541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6746 loss: 1.6746 2022/08/03 00:56:24 - mmengine - INFO - Epoch(train) [71][440/1879] lr: 1.0000e-02 eta: 1 day, 3:34:38 time: 0.2913 data_time: 0.0254 memory: 8198 grad_norm: 5.2643 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7899 loss: 1.7899 2022/08/03 00:56:29 - mmengine - INFO - Epoch(train) [71][460/1879] lr: 1.0000e-02 eta: 1 day, 3:34:33 time: 0.2826 data_time: 0.0282 memory: 8198 grad_norm: 5.1682 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5998 loss: 1.5998 2022/08/03 00:56:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 00:56:36 - mmengine - INFO - Epoch(train) [71][480/1879] lr: 1.0000e-02 eta: 1 day, 3:34:29 time: 0.3284 data_time: 0.0165 memory: 8198 grad_norm: 5.3637 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7081 loss: 1.7081 2022/08/03 00:56:42 - mmengine - INFO - Epoch(train) [71][500/1879] lr: 1.0000e-02 eta: 1 day, 3:34:24 time: 0.2831 data_time: 0.0214 memory: 8198 grad_norm: 5.2867 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7362 loss: 1.7362 2022/08/03 00:56:47 - mmengine - INFO - Epoch(train) [71][520/1879] lr: 1.0000e-02 eta: 1 day, 3:34:18 time: 0.2873 data_time: 0.0174 memory: 8198 grad_norm: 5.2357 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7251 loss: 1.7251 2022/08/03 00:56:53 - mmengine - INFO - Epoch(train) [71][540/1879] lr: 1.0000e-02 eta: 1 day, 3:34:12 time: 0.2851 data_time: 0.0285 memory: 8198 grad_norm: 5.2720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6460 loss: 1.6460 2022/08/03 00:56:59 - mmengine - INFO - Epoch(train) [71][560/1879] lr: 1.0000e-02 eta: 1 day, 3:34:07 time: 0.2850 data_time: 0.0243 memory: 8198 grad_norm: 5.2520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6160 loss: 1.6160 2022/08/03 00:57:05 - mmengine - INFO - Epoch(train) [71][580/1879] lr: 1.0000e-02 eta: 1 day, 3:34:01 time: 0.2902 data_time: 0.0265 memory: 8198 grad_norm: 5.3137 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6475 loss: 1.6475 2022/08/03 00:57:10 - mmengine - INFO - Epoch(train) [71][600/1879] lr: 1.0000e-02 eta: 1 day, 3:33:55 time: 0.2796 data_time: 0.0217 memory: 8198 grad_norm: 5.4591 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/08/03 00:57:16 - mmengine - INFO - Epoch(train) [71][620/1879] lr: 1.0000e-02 eta: 1 day, 3:33:50 time: 0.2831 data_time: 0.0225 memory: 8198 grad_norm: 5.3870 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8983 loss: 1.8983 2022/08/03 00:57:22 - mmengine - INFO - Epoch(train) [71][640/1879] lr: 1.0000e-02 eta: 1 day, 3:33:44 time: 0.2828 data_time: 0.0244 memory: 8198 grad_norm: 5.2154 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4623 loss: 1.4623 2022/08/03 00:57:28 - mmengine - INFO - Epoch(train) [71][660/1879] lr: 1.0000e-02 eta: 1 day, 3:33:39 time: 0.2965 data_time: 0.0301 memory: 8198 grad_norm: 5.2919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8062 loss: 1.8062 2022/08/03 00:57:33 - mmengine - INFO - Epoch(train) [71][680/1879] lr: 1.0000e-02 eta: 1 day, 3:33:33 time: 0.2829 data_time: 0.0225 memory: 8198 grad_norm: 5.3785 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5354 loss: 1.5354 2022/08/03 00:57:39 - mmengine - INFO - Epoch(train) [71][700/1879] lr: 1.0000e-02 eta: 1 day, 3:33:27 time: 0.2826 data_time: 0.0234 memory: 8198 grad_norm: 5.2511 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6083 loss: 1.6083 2022/08/03 00:57:45 - mmengine - INFO - Epoch(train) [71][720/1879] lr: 1.0000e-02 eta: 1 day, 3:33:22 time: 0.2946 data_time: 0.0256 memory: 8198 grad_norm: 5.3639 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6783 loss: 1.6783 2022/08/03 00:57:50 - mmengine - INFO - Epoch(train) [71][740/1879] lr: 1.0000e-02 eta: 1 day, 3:33:16 time: 0.2808 data_time: 0.0207 memory: 8198 grad_norm: 5.2111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6599 loss: 1.6599 2022/08/03 00:57:56 - mmengine - INFO - Epoch(train) [71][760/1879] lr: 1.0000e-02 eta: 1 day, 3:33:10 time: 0.2827 data_time: 0.0259 memory: 8198 grad_norm: 5.1396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5063 loss: 1.5063 2022/08/03 00:58:02 - mmengine - INFO - Epoch(train) [71][780/1879] lr: 1.0000e-02 eta: 1 day, 3:33:05 time: 0.2834 data_time: 0.0243 memory: 8198 grad_norm: 5.1625 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9568 loss: 1.9568 2022/08/03 00:58:08 - mmengine - INFO - Epoch(train) [71][800/1879] lr: 1.0000e-02 eta: 1 day, 3:32:59 time: 0.2920 data_time: 0.0228 memory: 8198 grad_norm: 5.1910 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6376 loss: 1.6376 2022/08/03 00:58:13 - mmengine - INFO - Epoch(train) [71][820/1879] lr: 1.0000e-02 eta: 1 day, 3:32:54 time: 0.2829 data_time: 0.0217 memory: 8198 grad_norm: 5.2978 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9060 loss: 1.9060 2022/08/03 00:58:19 - mmengine - INFO - Epoch(train) [71][840/1879] lr: 1.0000e-02 eta: 1 day, 3:32:48 time: 0.2836 data_time: 0.0232 memory: 8198 grad_norm: 5.2103 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8560 loss: 1.8560 2022/08/03 00:58:25 - mmengine - INFO - Epoch(train) [71][860/1879] lr: 1.0000e-02 eta: 1 day, 3:32:43 time: 0.2925 data_time: 0.0226 memory: 8198 grad_norm: 5.0320 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6250 loss: 1.6250 2022/08/03 00:58:30 - mmengine - INFO - Epoch(train) [71][880/1879] lr: 1.0000e-02 eta: 1 day, 3:32:37 time: 0.2827 data_time: 0.0252 memory: 8198 grad_norm: 5.2867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6488 loss: 1.6488 2022/08/03 00:58:36 - mmengine - INFO - Epoch(train) [71][900/1879] lr: 1.0000e-02 eta: 1 day, 3:32:31 time: 0.2822 data_time: 0.0217 memory: 8198 grad_norm: 5.1915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5962 loss: 1.5962 2022/08/03 00:58:42 - mmengine - INFO - Epoch(train) [71][920/1879] lr: 1.0000e-02 eta: 1 day, 3:32:25 time: 0.2819 data_time: 0.0229 memory: 8198 grad_norm: 5.3398 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/08/03 00:58:48 - mmengine - INFO - Epoch(train) [71][940/1879] lr: 1.0000e-02 eta: 1 day, 3:32:20 time: 0.2852 data_time: 0.0272 memory: 8198 grad_norm: 5.1781 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/08/03 00:58:53 - mmengine - INFO - Epoch(train) [71][960/1879] lr: 1.0000e-02 eta: 1 day, 3:32:14 time: 0.2828 data_time: 0.0199 memory: 8198 grad_norm: 5.1932 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8527 loss: 1.8527 2022/08/03 00:58:59 - mmengine - INFO - Epoch(train) [71][980/1879] lr: 1.0000e-02 eta: 1 day, 3:32:08 time: 0.2861 data_time: 0.0278 memory: 8198 grad_norm: 5.2208 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6785 loss: 1.6785 2022/08/03 00:59:05 - mmengine - INFO - Epoch(train) [71][1000/1879] lr: 1.0000e-02 eta: 1 day, 3:32:03 time: 0.2892 data_time: 0.0215 memory: 8198 grad_norm: 5.1888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7195 loss: 1.7195 2022/08/03 00:59:10 - mmengine - INFO - Epoch(train) [71][1020/1879] lr: 1.0000e-02 eta: 1 day, 3:31:57 time: 0.2834 data_time: 0.0230 memory: 8198 grad_norm: 5.1733 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6787 loss: 1.6787 2022/08/03 00:59:16 - mmengine - INFO - Epoch(train) [71][1040/1879] lr: 1.0000e-02 eta: 1 day, 3:31:51 time: 0.2844 data_time: 0.0179 memory: 8198 grad_norm: 5.3733 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7768 loss: 1.7768 2022/08/03 00:59:22 - mmengine - INFO - Epoch(train) [71][1060/1879] lr: 1.0000e-02 eta: 1 day, 3:31:46 time: 0.2855 data_time: 0.0238 memory: 8198 grad_norm: 5.1382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6375 loss: 1.6375 2022/08/03 00:59:28 - mmengine - INFO - Epoch(train) [71][1080/1879] lr: 1.0000e-02 eta: 1 day, 3:31:40 time: 0.2913 data_time: 0.0226 memory: 8198 grad_norm: 5.0747 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5617 loss: 1.5617 2022/08/03 00:59:33 - mmengine - INFO - Epoch(train) [71][1100/1879] lr: 1.0000e-02 eta: 1 day, 3:31:35 time: 0.2865 data_time: 0.0256 memory: 8198 grad_norm: 5.1524 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6607 loss: 1.6607 2022/08/03 00:59:39 - mmengine - INFO - Epoch(train) [71][1120/1879] lr: 1.0000e-02 eta: 1 day, 3:31:29 time: 0.2809 data_time: 0.0189 memory: 8198 grad_norm: 5.2837 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7986 loss: 1.7986 2022/08/03 00:59:45 - mmengine - INFO - Epoch(train) [71][1140/1879] lr: 1.0000e-02 eta: 1 day, 3:31:24 time: 0.2950 data_time: 0.0246 memory: 8198 grad_norm: 5.1977 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6731 loss: 1.6731 2022/08/03 00:59:51 - mmengine - INFO - Epoch(train) [71][1160/1879] lr: 1.0000e-02 eta: 1 day, 3:31:18 time: 0.2827 data_time: 0.0209 memory: 8198 grad_norm: 5.2088 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7163 loss: 1.7163 2022/08/03 00:59:56 - mmengine - INFO - Epoch(train) [71][1180/1879] lr: 1.0000e-02 eta: 1 day, 3:31:12 time: 0.2871 data_time: 0.0235 memory: 8198 grad_norm: 5.2435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8380 loss: 1.8380 2022/08/03 01:00:02 - mmengine - INFO - Epoch(train) [71][1200/1879] lr: 1.0000e-02 eta: 1 day, 3:31:07 time: 0.2828 data_time: 0.0173 memory: 8198 grad_norm: 5.1647 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7558 loss: 1.7558 2022/08/03 01:00:08 - mmengine - INFO - Epoch(train) [71][1220/1879] lr: 1.0000e-02 eta: 1 day, 3:31:01 time: 0.2830 data_time: 0.0227 memory: 8198 grad_norm: 5.0605 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7541 loss: 1.7541 2022/08/03 01:00:13 - mmengine - INFO - Epoch(train) [71][1240/1879] lr: 1.0000e-02 eta: 1 day, 3:30:55 time: 0.2834 data_time: 0.0203 memory: 8198 grad_norm: 5.3079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7469 loss: 1.7469 2022/08/03 01:00:19 - mmengine - INFO - Epoch(train) [71][1260/1879] lr: 1.0000e-02 eta: 1 day, 3:30:50 time: 0.2976 data_time: 0.0354 memory: 8198 grad_norm: 5.2277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5252 loss: 1.5252 2022/08/03 01:00:25 - mmengine - INFO - Epoch(train) [71][1280/1879] lr: 1.0000e-02 eta: 1 day, 3:30:45 time: 0.2909 data_time: 0.0220 memory: 8198 grad_norm: 5.2863 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9441 loss: 1.9441 2022/08/03 01:00:31 - mmengine - INFO - Epoch(train) [71][1300/1879] lr: 1.0000e-02 eta: 1 day, 3:30:39 time: 0.2793 data_time: 0.0184 memory: 8198 grad_norm: 5.1921 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7159 loss: 1.7159 2022/08/03 01:00:37 - mmengine - INFO - Epoch(train) [71][1320/1879] lr: 1.0000e-02 eta: 1 day, 3:30:34 time: 0.2996 data_time: 0.0282 memory: 8198 grad_norm: 5.2451 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7367 loss: 1.7367 2022/08/03 01:00:42 - mmengine - INFO - Epoch(train) [71][1340/1879] lr: 1.0000e-02 eta: 1 day, 3:30:28 time: 0.2817 data_time: 0.0192 memory: 8198 grad_norm: 5.3477 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/03 01:00:48 - mmengine - INFO - Epoch(train) [71][1360/1879] lr: 1.0000e-02 eta: 1 day, 3:30:23 time: 0.2924 data_time: 0.0234 memory: 8198 grad_norm: 5.2223 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7933 loss: 1.7933 2022/08/03 01:00:54 - mmengine - INFO - Epoch(train) [71][1380/1879] lr: 1.0000e-02 eta: 1 day, 3:30:17 time: 0.2852 data_time: 0.0253 memory: 8198 grad_norm: 5.2080 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7757 loss: 1.7757 2022/08/03 01:01:00 - mmengine - INFO - Epoch(train) [71][1400/1879] lr: 1.0000e-02 eta: 1 day, 3:30:11 time: 0.2793 data_time: 0.0216 memory: 8198 grad_norm: 5.2524 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6339 loss: 1.6339 2022/08/03 01:01:05 - mmengine - INFO - Epoch(train) [71][1420/1879] lr: 1.0000e-02 eta: 1 day, 3:30:05 time: 0.2811 data_time: 0.0246 memory: 8198 grad_norm: 5.3439 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6041 loss: 1.6041 2022/08/03 01:01:11 - mmengine - INFO - Epoch(train) [71][1440/1879] lr: 1.0000e-02 eta: 1 day, 3:30:00 time: 0.2833 data_time: 0.0214 memory: 8198 grad_norm: 5.1404 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7991 loss: 1.7991 2022/08/03 01:01:17 - mmengine - INFO - Epoch(train) [71][1460/1879] lr: 1.0000e-02 eta: 1 day, 3:29:54 time: 0.2911 data_time: 0.0244 memory: 8198 grad_norm: 5.1740 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7161 loss: 1.7161 2022/08/03 01:01:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:01:22 - mmengine - INFO - Epoch(train) [71][1480/1879] lr: 1.0000e-02 eta: 1 day, 3:29:49 time: 0.2830 data_time: 0.0199 memory: 8198 grad_norm: 5.2753 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6199 loss: 1.6199 2022/08/03 01:01:28 - mmengine - INFO - Epoch(train) [71][1500/1879] lr: 1.0000e-02 eta: 1 day, 3:29:43 time: 0.2871 data_time: 0.0294 memory: 8198 grad_norm: 5.2653 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8582 loss: 1.8582 2022/08/03 01:01:34 - mmengine - INFO - Epoch(train) [71][1520/1879] lr: 1.0000e-02 eta: 1 day, 3:29:38 time: 0.2895 data_time: 0.0211 memory: 8198 grad_norm: 5.1416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6681 loss: 1.6681 2022/08/03 01:01:40 - mmengine - INFO - Epoch(train) [71][1540/1879] lr: 1.0000e-02 eta: 1 day, 3:29:32 time: 0.2865 data_time: 0.0278 memory: 8198 grad_norm: 5.1642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6954 loss: 1.6954 2022/08/03 01:01:45 - mmengine - INFO - Epoch(train) [71][1560/1879] lr: 1.0000e-02 eta: 1 day, 3:29:26 time: 0.2816 data_time: 0.0187 memory: 8198 grad_norm: 5.2690 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9228 loss: 1.9228 2022/08/03 01:01:51 - mmengine - INFO - Epoch(train) [71][1580/1879] lr: 1.0000e-02 eta: 1 day, 3:29:21 time: 0.2846 data_time: 0.0239 memory: 8198 grad_norm: 5.3417 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7920 loss: 1.7920 2022/08/03 01:01:57 - mmengine - INFO - Epoch(train) [71][1600/1879] lr: 1.0000e-02 eta: 1 day, 3:29:15 time: 0.2886 data_time: 0.0198 memory: 8198 grad_norm: 5.2368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8264 loss: 1.8264 2022/08/03 01:02:03 - mmengine - INFO - Epoch(train) [71][1620/1879] lr: 1.0000e-02 eta: 1 day, 3:29:09 time: 0.2850 data_time: 0.0239 memory: 8198 grad_norm: 5.1678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7755 loss: 1.7755 2022/08/03 01:02:08 - mmengine - INFO - Epoch(train) [71][1640/1879] lr: 1.0000e-02 eta: 1 day, 3:29:04 time: 0.2851 data_time: 0.0238 memory: 8198 grad_norm: 5.0773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5838 loss: 1.5838 2022/08/03 01:02:14 - mmengine - INFO - Epoch(train) [71][1660/1879] lr: 1.0000e-02 eta: 1 day, 3:28:59 time: 0.2957 data_time: 0.0246 memory: 8198 grad_norm: 5.2562 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6576 loss: 1.6576 2022/08/03 01:02:20 - mmengine - INFO - Epoch(train) [71][1680/1879] lr: 1.0000e-02 eta: 1 day, 3:28:53 time: 0.2807 data_time: 0.0236 memory: 8198 grad_norm: 5.2783 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8089 loss: 1.8089 2022/08/03 01:02:25 - mmengine - INFO - Epoch(train) [71][1700/1879] lr: 1.0000e-02 eta: 1 day, 3:28:47 time: 0.2813 data_time: 0.0232 memory: 8198 grad_norm: 5.2315 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7082 loss: 1.7082 2022/08/03 01:02:31 - mmengine - INFO - Epoch(train) [71][1720/1879] lr: 1.0000e-02 eta: 1 day, 3:28:42 time: 0.2909 data_time: 0.0339 memory: 8198 grad_norm: 5.1752 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6777 loss: 1.6777 2022/08/03 01:02:38 - mmengine - INFO - Epoch(train) [71][1740/1879] lr: 1.0000e-02 eta: 1 day, 3:28:37 time: 0.3098 data_time: 0.0193 memory: 8198 grad_norm: 5.3111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7839 loss: 1.7839 2022/08/03 01:02:43 - mmengine - INFO - Epoch(train) [71][1760/1879] lr: 1.0000e-02 eta: 1 day, 3:28:31 time: 0.2826 data_time: 0.0191 memory: 8198 grad_norm: 5.1940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9722 loss: 1.9722 2022/08/03 01:02:49 - mmengine - INFO - Epoch(train) [71][1780/1879] lr: 1.0000e-02 eta: 1 day, 3:28:27 time: 0.3069 data_time: 0.0248 memory: 8198 grad_norm: 5.3662 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7768 loss: 1.7768 2022/08/03 01:02:56 - mmengine - INFO - Epoch(train) [71][1800/1879] lr: 1.0000e-02 eta: 1 day, 3:28:23 time: 0.3102 data_time: 0.0261 memory: 8198 grad_norm: 5.3245 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7133 loss: 1.7133 2022/08/03 01:03:01 - mmengine - INFO - Epoch(train) [71][1820/1879] lr: 1.0000e-02 eta: 1 day, 3:28:17 time: 0.2805 data_time: 0.0237 memory: 8198 grad_norm: 5.3824 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6770 loss: 1.6770 2022/08/03 01:03:07 - mmengine - INFO - Epoch(train) [71][1840/1879] lr: 1.0000e-02 eta: 1 day, 3:28:11 time: 0.2840 data_time: 0.0268 memory: 8198 grad_norm: 5.3225 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6438 loss: 1.6438 2022/08/03 01:03:12 - mmengine - INFO - Epoch(train) [71][1860/1879] lr: 1.0000e-02 eta: 1 day, 3:28:05 time: 0.2785 data_time: 0.0225 memory: 8198 grad_norm: 5.3084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/08/03 01:03:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:03:17 - mmengine - INFO - Epoch(train) [71][1879/1879] lr: 1.0000e-02 eta: 1 day, 3:28:05 time: 0.2576 data_time: 0.0165 memory: 8198 grad_norm: 5.5178 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6589 loss: 1.6589 2022/08/03 01:03:26 - mmengine - INFO - Epoch(train) [72][20/1879] lr: 1.0000e-02 eta: 1 day, 3:27:48 time: 0.4409 data_time: 0.1040 memory: 8198 grad_norm: 5.1148 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6316 loss: 1.6316 2022/08/03 01:03:32 - mmengine - INFO - Epoch(train) [72][40/1879] lr: 1.0000e-02 eta: 1 day, 3:27:42 time: 0.2857 data_time: 0.0195 memory: 8198 grad_norm: 5.1732 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4611 loss: 1.4611 2022/08/03 01:03:38 - mmengine - INFO - Epoch(train) [72][60/1879] lr: 1.0000e-02 eta: 1 day, 3:27:37 time: 0.2990 data_time: 0.0215 memory: 8198 grad_norm: 5.3006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6296 loss: 1.6296 2022/08/03 01:03:44 - mmengine - INFO - Epoch(train) [72][80/1879] lr: 1.0000e-02 eta: 1 day, 3:27:32 time: 0.2819 data_time: 0.0212 memory: 8198 grad_norm: 5.2827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7480 loss: 1.7480 2022/08/03 01:03:50 - mmengine - INFO - Epoch(train) [72][100/1879] lr: 1.0000e-02 eta: 1 day, 3:27:27 time: 0.2999 data_time: 0.0420 memory: 8198 grad_norm: 5.1225 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/08/03 01:03:55 - mmengine - INFO - Epoch(train) [72][120/1879] lr: 1.0000e-02 eta: 1 day, 3:27:21 time: 0.2819 data_time: 0.0211 memory: 8198 grad_norm: 5.1638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5853 loss: 1.5853 2022/08/03 01:04:01 - mmengine - INFO - Epoch(train) [72][140/1879] lr: 1.0000e-02 eta: 1 day, 3:27:15 time: 0.2840 data_time: 0.0232 memory: 8198 grad_norm: 5.3708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8031 loss: 1.8031 2022/08/03 01:04:07 - mmengine - INFO - Epoch(train) [72][160/1879] lr: 1.0000e-02 eta: 1 day, 3:27:10 time: 0.2864 data_time: 0.0232 memory: 8198 grad_norm: 5.0510 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6044 loss: 1.6044 2022/08/03 01:04:12 - mmengine - INFO - Epoch(train) [72][180/1879] lr: 1.0000e-02 eta: 1 day, 3:27:04 time: 0.2864 data_time: 0.0244 memory: 8198 grad_norm: 5.1570 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3925 loss: 1.3925 2022/08/03 01:04:18 - mmengine - INFO - Epoch(train) [72][200/1879] lr: 1.0000e-02 eta: 1 day, 3:26:58 time: 0.2854 data_time: 0.0242 memory: 8198 grad_norm: 5.2362 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5366 loss: 1.5366 2022/08/03 01:04:24 - mmengine - INFO - Epoch(train) [72][220/1879] lr: 1.0000e-02 eta: 1 day, 3:26:53 time: 0.2887 data_time: 0.0264 memory: 8198 grad_norm: 5.1667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6144 loss: 1.6144 2022/08/03 01:04:30 - mmengine - INFO - Epoch(train) [72][240/1879] lr: 1.0000e-02 eta: 1 day, 3:26:47 time: 0.2818 data_time: 0.0206 memory: 8198 grad_norm: 5.3613 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/08/03 01:04:35 - mmengine - INFO - Epoch(train) [72][260/1879] lr: 1.0000e-02 eta: 1 day, 3:26:41 time: 0.2826 data_time: 0.0206 memory: 8198 grad_norm: 5.1771 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/08/03 01:04:41 - mmengine - INFO - Epoch(train) [72][280/1879] lr: 1.0000e-02 eta: 1 day, 3:26:36 time: 0.2844 data_time: 0.0251 memory: 8198 grad_norm: 5.3293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8368 loss: 1.8368 2022/08/03 01:04:47 - mmengine - INFO - Epoch(train) [72][300/1879] lr: 1.0000e-02 eta: 1 day, 3:26:31 time: 0.3029 data_time: 0.0221 memory: 8198 grad_norm: 5.2089 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5407 loss: 1.5407 2022/08/03 01:04:53 - mmengine - INFO - Epoch(train) [72][320/1879] lr: 1.0000e-02 eta: 1 day, 3:26:25 time: 0.2814 data_time: 0.0276 memory: 8198 grad_norm: 5.1498 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6177 loss: 1.6177 2022/08/03 01:04:58 - mmengine - INFO - Epoch(train) [72][340/1879] lr: 1.0000e-02 eta: 1 day, 3:26:19 time: 0.2872 data_time: 0.0291 memory: 8198 grad_norm: 5.0821 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4849 loss: 1.4849 2022/08/03 01:05:04 - mmengine - INFO - Epoch(train) [72][360/1879] lr: 1.0000e-02 eta: 1 day, 3:26:14 time: 0.2845 data_time: 0.0250 memory: 8198 grad_norm: 5.1650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5065 loss: 1.5065 2022/08/03 01:05:10 - mmengine - INFO - Epoch(train) [72][380/1879] lr: 1.0000e-02 eta: 1 day, 3:26:08 time: 0.2830 data_time: 0.0230 memory: 8198 grad_norm: 5.2271 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6601 loss: 1.6601 2022/08/03 01:05:16 - mmengine - INFO - Epoch(train) [72][400/1879] lr: 1.0000e-02 eta: 1 day, 3:26:02 time: 0.2859 data_time: 0.0255 memory: 8198 grad_norm: 5.2087 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5992 loss: 1.5992 2022/08/03 01:05:21 - mmengine - INFO - Epoch(train) [72][420/1879] lr: 1.0000e-02 eta: 1 day, 3:25:57 time: 0.2820 data_time: 0.0272 memory: 8198 grad_norm: 5.3684 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6697 loss: 1.6697 2022/08/03 01:05:27 - mmengine - INFO - Epoch(train) [72][440/1879] lr: 1.0000e-02 eta: 1 day, 3:25:51 time: 0.2845 data_time: 0.0239 memory: 8198 grad_norm: 5.2369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6507 loss: 1.6507 2022/08/03 01:05:33 - mmengine - INFO - Epoch(train) [72][460/1879] lr: 1.0000e-02 eta: 1 day, 3:25:45 time: 0.2823 data_time: 0.0267 memory: 8198 grad_norm: 5.0435 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5240 loss: 1.5240 2022/08/03 01:05:38 - mmengine - INFO - Epoch(train) [72][480/1879] lr: 1.0000e-02 eta: 1 day, 3:25:40 time: 0.2885 data_time: 0.0248 memory: 8198 grad_norm: 5.2248 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7274 loss: 1.7274 2022/08/03 01:05:44 - mmengine - INFO - Epoch(train) [72][500/1879] lr: 1.0000e-02 eta: 1 day, 3:25:34 time: 0.2816 data_time: 0.0239 memory: 8198 grad_norm: 5.2317 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4719 loss: 1.4719 2022/08/03 01:05:50 - mmengine - INFO - Epoch(train) [72][520/1879] lr: 1.0000e-02 eta: 1 day, 3:25:28 time: 0.2874 data_time: 0.0202 memory: 8198 grad_norm: 5.3859 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6895 loss: 1.6895 2022/08/03 01:05:56 - mmengine - INFO - Epoch(train) [72][540/1879] lr: 1.0000e-02 eta: 1 day, 3:25:23 time: 0.2871 data_time: 0.0276 memory: 8198 grad_norm: 5.4257 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6561 loss: 1.6561 2022/08/03 01:06:01 - mmengine - INFO - Epoch(train) [72][560/1879] lr: 1.0000e-02 eta: 1 day, 3:25:17 time: 0.2832 data_time: 0.0232 memory: 8198 grad_norm: 5.2956 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7787 loss: 1.7787 2022/08/03 01:06:07 - mmengine - INFO - Epoch(train) [72][580/1879] lr: 1.0000e-02 eta: 1 day, 3:25:11 time: 0.2835 data_time: 0.0252 memory: 8198 grad_norm: 5.1600 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5353 loss: 1.5353 2022/08/03 01:06:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:06:13 - mmengine - INFO - Epoch(train) [72][600/1879] lr: 1.0000e-02 eta: 1 day, 3:25:05 time: 0.2824 data_time: 0.0247 memory: 8198 grad_norm: 5.4479 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5675 loss: 1.5675 2022/08/03 01:06:18 - mmengine - INFO - Epoch(train) [72][620/1879] lr: 1.0000e-02 eta: 1 day, 3:25:00 time: 0.2849 data_time: 0.0238 memory: 8198 grad_norm: 5.5163 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9348 loss: 1.9348 2022/08/03 01:06:24 - mmengine - INFO - Epoch(train) [72][640/1879] lr: 1.0000e-02 eta: 1 day, 3:24:54 time: 0.2828 data_time: 0.0225 memory: 8198 grad_norm: 5.3483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7326 loss: 1.7326 2022/08/03 01:06:30 - mmengine - INFO - Epoch(train) [72][660/1879] lr: 1.0000e-02 eta: 1 day, 3:24:48 time: 0.2841 data_time: 0.0219 memory: 8198 grad_norm: 5.3603 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9123 loss: 1.9123 2022/08/03 01:06:35 - mmengine - INFO - Epoch(train) [72][680/1879] lr: 1.0000e-02 eta: 1 day, 3:24:43 time: 0.2881 data_time: 0.0209 memory: 8198 grad_norm: 5.3534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7161 loss: 1.7161 2022/08/03 01:06:41 - mmengine - INFO - Epoch(train) [72][700/1879] lr: 1.0000e-02 eta: 1 day, 3:24:37 time: 0.2835 data_time: 0.0224 memory: 8198 grad_norm: 5.3293 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6932 loss: 1.6932 2022/08/03 01:06:47 - mmengine - INFO - Epoch(train) [72][720/1879] lr: 1.0000e-02 eta: 1 day, 3:24:31 time: 0.2823 data_time: 0.0272 memory: 8198 grad_norm: 5.2769 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9239 loss: 1.9239 2022/08/03 01:06:52 - mmengine - INFO - Epoch(train) [72][740/1879] lr: 1.0000e-02 eta: 1 day, 3:24:25 time: 0.2824 data_time: 0.0207 memory: 8198 grad_norm: 5.3679 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7812 loss: 1.7812 2022/08/03 01:06:58 - mmengine - INFO - Epoch(train) [72][760/1879] lr: 1.0000e-02 eta: 1 day, 3:24:20 time: 0.2869 data_time: 0.0229 memory: 8198 grad_norm: 5.1159 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5522 loss: 1.5522 2022/08/03 01:07:04 - mmengine - INFO - Epoch(train) [72][780/1879] lr: 1.0000e-02 eta: 1 day, 3:24:14 time: 0.2823 data_time: 0.0245 memory: 8198 grad_norm: 5.2889 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9066 loss: 1.9066 2022/08/03 01:07:10 - mmengine - INFO - Epoch(train) [72][800/1879] lr: 1.0000e-02 eta: 1 day, 3:24:08 time: 0.2852 data_time: 0.0212 memory: 8198 grad_norm: 5.1510 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7700 loss: 1.7700 2022/08/03 01:07:15 - mmengine - INFO - Epoch(train) [72][820/1879] lr: 1.0000e-02 eta: 1 day, 3:24:03 time: 0.2837 data_time: 0.0217 memory: 8198 grad_norm: 5.2411 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5796 loss: 1.5796 2022/08/03 01:07:21 - mmengine - INFO - Epoch(train) [72][840/1879] lr: 1.0000e-02 eta: 1 day, 3:23:57 time: 0.2801 data_time: 0.0203 memory: 8198 grad_norm: 5.5319 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8659 loss: 1.8659 2022/08/03 01:07:26 - mmengine - INFO - Epoch(train) [72][860/1879] lr: 1.0000e-02 eta: 1 day, 3:23:51 time: 0.2822 data_time: 0.0201 memory: 8198 grad_norm: 5.2061 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6273 loss: 1.6273 2022/08/03 01:07:32 - mmengine - INFO - Epoch(train) [72][880/1879] lr: 1.0000e-02 eta: 1 day, 3:23:45 time: 0.2817 data_time: 0.0247 memory: 8198 grad_norm: 5.1312 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7053 loss: 1.7053 2022/08/03 01:07:38 - mmengine - INFO - Epoch(train) [72][900/1879] lr: 1.0000e-02 eta: 1 day, 3:23:40 time: 0.2964 data_time: 0.0230 memory: 8198 grad_norm: 5.0529 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5859 loss: 1.5859 2022/08/03 01:07:44 - mmengine - INFO - Epoch(train) [72][920/1879] lr: 1.0000e-02 eta: 1 day, 3:23:34 time: 0.2836 data_time: 0.0266 memory: 8198 grad_norm: 5.2280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7622 loss: 1.7622 2022/08/03 01:07:50 - mmengine - INFO - Epoch(train) [72][940/1879] lr: 1.0000e-02 eta: 1 day, 3:23:29 time: 0.2903 data_time: 0.0255 memory: 8198 grad_norm: 5.4415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6680 loss: 1.6680 2022/08/03 01:07:55 - mmengine - INFO - Epoch(train) [72][960/1879] lr: 1.0000e-02 eta: 1 day, 3:23:23 time: 0.2899 data_time: 0.0253 memory: 8198 grad_norm: 5.1359 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5344 loss: 1.5344 2022/08/03 01:08:01 - mmengine - INFO - Epoch(train) [72][980/1879] lr: 1.0000e-02 eta: 1 day, 3:23:18 time: 0.2798 data_time: 0.0223 memory: 8198 grad_norm: 5.2451 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5151 loss: 1.5151 2022/08/03 01:08:07 - mmengine - INFO - Epoch(train) [72][1000/1879] lr: 1.0000e-02 eta: 1 day, 3:23:12 time: 0.2857 data_time: 0.0214 memory: 8198 grad_norm: 5.3107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5066 loss: 1.5066 2022/08/03 01:08:12 - mmengine - INFO - Epoch(train) [72][1020/1879] lr: 1.0000e-02 eta: 1 day, 3:23:06 time: 0.2831 data_time: 0.0225 memory: 8198 grad_norm: 5.1348 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5313 loss: 1.5313 2022/08/03 01:08:18 - mmengine - INFO - Epoch(train) [72][1040/1879] lr: 1.0000e-02 eta: 1 day, 3:23:01 time: 0.2944 data_time: 0.0254 memory: 8198 grad_norm: 5.1217 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5510 loss: 1.5510 2022/08/03 01:08:24 - mmengine - INFO - Epoch(train) [72][1060/1879] lr: 1.0000e-02 eta: 1 day, 3:22:55 time: 0.2819 data_time: 0.0248 memory: 8198 grad_norm: 5.2924 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7266 loss: 1.7266 2022/08/03 01:08:30 - mmengine - INFO - Epoch(train) [72][1080/1879] lr: 1.0000e-02 eta: 1 day, 3:22:49 time: 0.2826 data_time: 0.0202 memory: 8198 grad_norm: 5.3713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4557 loss: 1.4557 2022/08/03 01:08:35 - mmengine - INFO - Epoch(train) [72][1100/1879] lr: 1.0000e-02 eta: 1 day, 3:22:44 time: 0.2904 data_time: 0.0257 memory: 8198 grad_norm: 5.3894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9213 loss: 1.9213 2022/08/03 01:08:41 - mmengine - INFO - Epoch(train) [72][1120/1879] lr: 1.0000e-02 eta: 1 day, 3:22:38 time: 0.2808 data_time: 0.0207 memory: 8198 grad_norm: 5.2874 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6462 loss: 1.6462 2022/08/03 01:08:47 - mmengine - INFO - Epoch(train) [72][1140/1879] lr: 1.0000e-02 eta: 1 day, 3:22:32 time: 0.2839 data_time: 0.0296 memory: 8198 grad_norm: 5.2866 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5230 loss: 1.5230 2022/08/03 01:08:52 - mmengine - INFO - Epoch(train) [72][1160/1879] lr: 1.0000e-02 eta: 1 day, 3:22:27 time: 0.2810 data_time: 0.0242 memory: 8198 grad_norm: 5.2626 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7315 loss: 1.7315 2022/08/03 01:08:58 - mmengine - INFO - Epoch(train) [72][1180/1879] lr: 1.0000e-02 eta: 1 day, 3:22:21 time: 0.2876 data_time: 0.0281 memory: 8198 grad_norm: 5.3045 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6585 loss: 1.6585 2022/08/03 01:09:04 - mmengine - INFO - Epoch(train) [72][1200/1879] lr: 1.0000e-02 eta: 1 day, 3:22:15 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 5.3761 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7526 loss: 1.7526 2022/08/03 01:09:10 - mmengine - INFO - Epoch(train) [72][1220/1879] lr: 1.0000e-02 eta: 1 day, 3:22:10 time: 0.2847 data_time: 0.0229 memory: 8198 grad_norm: 5.3316 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7655 loss: 1.7655 2022/08/03 01:09:15 - mmengine - INFO - Epoch(train) [72][1240/1879] lr: 1.0000e-02 eta: 1 day, 3:22:04 time: 0.2864 data_time: 0.0256 memory: 8198 grad_norm: 5.3025 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6767 loss: 1.6767 2022/08/03 01:09:21 - mmengine - INFO - Epoch(train) [72][1260/1879] lr: 1.0000e-02 eta: 1 day, 3:21:58 time: 0.2820 data_time: 0.0227 memory: 8198 grad_norm: 5.1375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5738 loss: 1.5738 2022/08/03 01:09:27 - mmengine - INFO - Epoch(train) [72][1280/1879] lr: 1.0000e-02 eta: 1 day, 3:21:53 time: 0.2906 data_time: 0.0272 memory: 8198 grad_norm: 5.3688 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5394 loss: 1.5394 2022/08/03 01:09:32 - mmengine - INFO - Epoch(train) [72][1300/1879] lr: 1.0000e-02 eta: 1 day, 3:21:47 time: 0.2835 data_time: 0.0273 memory: 8198 grad_norm: 5.1849 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6296 loss: 1.6296 2022/08/03 01:09:38 - mmengine - INFO - Epoch(train) [72][1320/1879] lr: 1.0000e-02 eta: 1 day, 3:21:42 time: 0.2955 data_time: 0.0171 memory: 8198 grad_norm: 5.3713 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7795 loss: 1.7795 2022/08/03 01:09:44 - mmengine - INFO - Epoch(train) [72][1340/1879] lr: 1.0000e-02 eta: 1 day, 3:21:36 time: 0.2814 data_time: 0.0195 memory: 8198 grad_norm: 5.3215 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8793 loss: 1.8793 2022/08/03 01:09:50 - mmengine - INFO - Epoch(train) [72][1360/1879] lr: 1.0000e-02 eta: 1 day, 3:21:31 time: 0.2842 data_time: 0.0232 memory: 8198 grad_norm: 5.4169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7791 loss: 1.7791 2022/08/03 01:09:55 - mmengine - INFO - Epoch(train) [72][1380/1879] lr: 1.0000e-02 eta: 1 day, 3:21:25 time: 0.2880 data_time: 0.0268 memory: 8198 grad_norm: 5.1796 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6847 loss: 1.6847 2022/08/03 01:10:01 - mmengine - INFO - Epoch(train) [72][1400/1879] lr: 1.0000e-02 eta: 1 day, 3:21:19 time: 0.2845 data_time: 0.0265 memory: 8198 grad_norm: 5.3100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5984 loss: 1.5984 2022/08/03 01:10:07 - mmengine - INFO - Epoch(train) [72][1420/1879] lr: 1.0000e-02 eta: 1 day, 3:21:14 time: 0.2916 data_time: 0.0256 memory: 8198 grad_norm: 5.2780 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6431 loss: 1.6431 2022/08/03 01:10:13 - mmengine - INFO - Epoch(train) [72][1440/1879] lr: 1.0000e-02 eta: 1 day, 3:21:08 time: 0.2818 data_time: 0.0229 memory: 8198 grad_norm: 5.2913 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7194 loss: 1.7194 2022/08/03 01:10:18 - mmengine - INFO - Epoch(train) [72][1460/1879] lr: 1.0000e-02 eta: 1 day, 3:21:03 time: 0.2859 data_time: 0.0280 memory: 8198 grad_norm: 5.2059 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/08/03 01:10:24 - mmengine - INFO - Epoch(train) [72][1480/1879] lr: 1.0000e-02 eta: 1 day, 3:20:57 time: 0.2850 data_time: 0.0205 memory: 8198 grad_norm: 5.2352 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6918 loss: 1.6918 2022/08/03 01:10:30 - mmengine - INFO - Epoch(train) [72][1500/1879] lr: 1.0000e-02 eta: 1 day, 3:20:51 time: 0.2842 data_time: 0.0245 memory: 8198 grad_norm: 5.3208 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6154 loss: 1.6154 2022/08/03 01:10:36 - mmengine - INFO - Epoch(train) [72][1520/1879] lr: 1.0000e-02 eta: 1 day, 3:20:47 time: 0.3101 data_time: 0.0240 memory: 8198 grad_norm: 5.1336 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5417 loss: 1.5417 2022/08/03 01:10:42 - mmengine - INFO - Epoch(train) [72][1540/1879] lr: 1.0000e-02 eta: 1 day, 3:20:41 time: 0.2779 data_time: 0.0215 memory: 8198 grad_norm: 5.3583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6483 loss: 1.6483 2022/08/03 01:10:47 - mmengine - INFO - Epoch(train) [72][1560/1879] lr: 1.0000e-02 eta: 1 day, 3:20:35 time: 0.2847 data_time: 0.0189 memory: 8198 grad_norm: 5.2637 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6901 loss: 1.6901 2022/08/03 01:10:53 - mmengine - INFO - Epoch(train) [72][1580/1879] lr: 1.0000e-02 eta: 1 day, 3:20:29 time: 0.2829 data_time: 0.0253 memory: 8198 grad_norm: 5.0286 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4197 loss: 1.4197 2022/08/03 01:10:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:10:59 - mmengine - INFO - Epoch(train) [72][1600/1879] lr: 1.0000e-02 eta: 1 day, 3:20:24 time: 0.2886 data_time: 0.0211 memory: 8198 grad_norm: 5.3557 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7068 loss: 1.7068 2022/08/03 01:11:04 - mmengine - INFO - Epoch(train) [72][1620/1879] lr: 1.0000e-02 eta: 1 day, 3:20:18 time: 0.2833 data_time: 0.0212 memory: 8198 grad_norm: 5.3547 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7831 loss: 1.7831 2022/08/03 01:11:10 - mmengine - INFO - Epoch(train) [72][1640/1879] lr: 1.0000e-02 eta: 1 day, 3:20:12 time: 0.2838 data_time: 0.0186 memory: 8198 grad_norm: 5.2882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7955 loss: 1.7955 2022/08/03 01:11:16 - mmengine - INFO - Epoch(train) [72][1660/1879] lr: 1.0000e-02 eta: 1 day, 3:20:07 time: 0.2939 data_time: 0.0240 memory: 8198 grad_norm: 5.2166 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7627 loss: 1.7627 2022/08/03 01:11:22 - mmengine - INFO - Epoch(train) [72][1680/1879] lr: 1.0000e-02 eta: 1 day, 3:20:02 time: 0.2855 data_time: 0.0217 memory: 8198 grad_norm: 5.2682 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7582 loss: 1.7582 2022/08/03 01:11:27 - mmengine - INFO - Epoch(train) [72][1700/1879] lr: 1.0000e-02 eta: 1 day, 3:19:56 time: 0.2809 data_time: 0.0214 memory: 8198 grad_norm: 5.2901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5236 loss: 1.5236 2022/08/03 01:11:33 - mmengine - INFO - Epoch(train) [72][1720/1879] lr: 1.0000e-02 eta: 1 day, 3:19:50 time: 0.2824 data_time: 0.0245 memory: 8198 grad_norm: 5.2748 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5451 loss: 1.5451 2022/08/03 01:11:39 - mmengine - INFO - Epoch(train) [72][1740/1879] lr: 1.0000e-02 eta: 1 day, 3:19:45 time: 0.3057 data_time: 0.0233 memory: 8198 grad_norm: 5.2262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5652 loss: 1.5652 2022/08/03 01:11:45 - mmengine - INFO - Epoch(train) [72][1760/1879] lr: 1.0000e-02 eta: 1 day, 3:19:39 time: 0.2819 data_time: 0.0197 memory: 8198 grad_norm: 5.2899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7709 loss: 1.7709 2022/08/03 01:11:51 - mmengine - INFO - Epoch(train) [72][1780/1879] lr: 1.0000e-02 eta: 1 day, 3:19:34 time: 0.2876 data_time: 0.0305 memory: 8198 grad_norm: 5.3662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5882 loss: 1.5882 2022/08/03 01:11:56 - mmengine - INFO - Epoch(train) [72][1800/1879] lr: 1.0000e-02 eta: 1 day, 3:19:28 time: 0.2825 data_time: 0.0236 memory: 8198 grad_norm: 5.1890 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6504 loss: 1.6504 2022/08/03 01:12:02 - mmengine - INFO - Epoch(train) [72][1820/1879] lr: 1.0000e-02 eta: 1 day, 3:19:22 time: 0.2808 data_time: 0.0220 memory: 8198 grad_norm: 5.2253 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5814 loss: 1.5814 2022/08/03 01:12:08 - mmengine - INFO - Epoch(train) [72][1840/1879] lr: 1.0000e-02 eta: 1 day, 3:19:17 time: 0.2861 data_time: 0.0232 memory: 8198 grad_norm: 5.2647 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9030 loss: 1.9030 2022/08/03 01:12:13 - mmengine - INFO - Epoch(train) [72][1860/1879] lr: 1.0000e-02 eta: 1 day, 3:19:11 time: 0.2824 data_time: 0.0231 memory: 8198 grad_norm: 5.1702 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8572 loss: 1.8572 2022/08/03 01:12:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:12:18 - mmengine - INFO - Epoch(train) [72][1879/1879] lr: 1.0000e-02 eta: 1 day, 3:19:11 time: 0.2584 data_time: 0.0143 memory: 8198 grad_norm: 5.4452 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7429 loss: 1.7429 2022/08/03 01:12:18 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/03 01:12:28 - mmengine - INFO - Epoch(train) [73][20/1879] lr: 1.0000e-02 eta: 1 day, 3:18:51 time: 0.3786 data_time: 0.1168 memory: 8198 grad_norm: 5.2561 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6408 loss: 1.6408 2022/08/03 01:12:34 - mmengine - INFO - Epoch(train) [73][40/1879] lr: 1.0000e-02 eta: 1 day, 3:18:45 time: 0.2879 data_time: 0.0209 memory: 8198 grad_norm: 5.3273 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6945 loss: 1.6945 2022/08/03 01:12:40 - mmengine - INFO - Epoch(train) [73][60/1879] lr: 1.0000e-02 eta: 1 day, 3:18:40 time: 0.2964 data_time: 0.0208 memory: 8198 grad_norm: 5.2434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5277 loss: 1.5277 2022/08/03 01:12:45 - mmengine - INFO - Epoch(train) [73][80/1879] lr: 1.0000e-02 eta: 1 day, 3:18:35 time: 0.2906 data_time: 0.0217 memory: 8198 grad_norm: 5.2766 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6975 loss: 1.6975 2022/08/03 01:12:51 - mmengine - INFO - Epoch(train) [73][100/1879] lr: 1.0000e-02 eta: 1 day, 3:18:29 time: 0.2808 data_time: 0.0203 memory: 8198 grad_norm: 5.2353 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7547 loss: 1.7547 2022/08/03 01:12:57 - mmengine - INFO - Epoch(train) [73][120/1879] lr: 1.0000e-02 eta: 1 day, 3:18:23 time: 0.2848 data_time: 0.0210 memory: 8198 grad_norm: 5.2975 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5589 loss: 1.5589 2022/08/03 01:13:02 - mmengine - INFO - Epoch(train) [73][140/1879] lr: 1.0000e-02 eta: 1 day, 3:18:18 time: 0.2840 data_time: 0.0197 memory: 8198 grad_norm: 5.2090 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8650 loss: 1.8650 2022/08/03 01:13:08 - mmengine - INFO - Epoch(train) [73][160/1879] lr: 1.0000e-02 eta: 1 day, 3:18:12 time: 0.2841 data_time: 0.0266 memory: 8198 grad_norm: 5.3336 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8749 loss: 1.8749 2022/08/03 01:13:14 - mmengine - INFO - Epoch(train) [73][180/1879] lr: 1.0000e-02 eta: 1 day, 3:18:06 time: 0.2869 data_time: 0.0254 memory: 8198 grad_norm: 5.2733 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6036 loss: 1.6036 2022/08/03 01:13:20 - mmengine - INFO - Epoch(train) [73][200/1879] lr: 1.0000e-02 eta: 1 day, 3:18:01 time: 0.2849 data_time: 0.0206 memory: 8198 grad_norm: 5.3274 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7863 loss: 1.7863 2022/08/03 01:13:25 - mmengine - INFO - Epoch(train) [73][220/1879] lr: 1.0000e-02 eta: 1 day, 3:17:55 time: 0.2814 data_time: 0.0235 memory: 8198 grad_norm: 5.2849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6500 loss: 1.6500 2022/08/03 01:13:31 - mmengine - INFO - Epoch(train) [73][240/1879] lr: 1.0000e-02 eta: 1 day, 3:17:49 time: 0.2831 data_time: 0.0245 memory: 8198 grad_norm: 5.3417 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6058 loss: 1.6058 2022/08/03 01:13:37 - mmengine - INFO - Epoch(train) [73][260/1879] lr: 1.0000e-02 eta: 1 day, 3:17:44 time: 0.2959 data_time: 0.0265 memory: 8198 grad_norm: 5.2743 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6417 loss: 1.6417 2022/08/03 01:13:43 - mmengine - INFO - Epoch(train) [73][280/1879] lr: 1.0000e-02 eta: 1 day, 3:17:38 time: 0.2836 data_time: 0.0217 memory: 8198 grad_norm: 5.2523 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6246 loss: 1.6246 2022/08/03 01:13:48 - mmengine - INFO - Epoch(train) [73][300/1879] lr: 1.0000e-02 eta: 1 day, 3:17:32 time: 0.2784 data_time: 0.0243 memory: 8198 grad_norm: 5.1864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7906 loss: 1.7906 2022/08/03 01:13:54 - mmengine - INFO - Epoch(train) [73][320/1879] lr: 1.0000e-02 eta: 1 day, 3:17:27 time: 0.3017 data_time: 0.0236 memory: 8198 grad_norm: 5.1564 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5824 loss: 1.5824 2022/08/03 01:14:00 - mmengine - INFO - Epoch(train) [73][340/1879] lr: 1.0000e-02 eta: 1 day, 3:17:22 time: 0.2809 data_time: 0.0209 memory: 8198 grad_norm: 5.3030 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8047 loss: 1.8047 2022/08/03 01:14:05 - mmengine - INFO - Epoch(train) [73][360/1879] lr: 1.0000e-02 eta: 1 day, 3:17:16 time: 0.2825 data_time: 0.0232 memory: 8198 grad_norm: 5.2992 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5198 loss: 1.5198 2022/08/03 01:14:11 - mmengine - INFO - Epoch(train) [73][380/1879] lr: 1.0000e-02 eta: 1 day, 3:17:10 time: 0.2864 data_time: 0.0218 memory: 8198 grad_norm: 5.2620 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/08/03 01:14:17 - mmengine - INFO - Epoch(train) [73][400/1879] lr: 1.0000e-02 eta: 1 day, 3:17:05 time: 0.2878 data_time: 0.0206 memory: 8198 grad_norm: 5.3855 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7425 loss: 1.7425 2022/08/03 01:14:23 - mmengine - INFO - Epoch(train) [73][420/1879] lr: 1.0000e-02 eta: 1 day, 3:16:59 time: 0.2832 data_time: 0.0210 memory: 8198 grad_norm: 5.2543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8023 loss: 1.8023 2022/08/03 01:14:28 - mmengine - INFO - Epoch(train) [73][440/1879] lr: 1.0000e-02 eta: 1 day, 3:16:53 time: 0.2882 data_time: 0.0249 memory: 8198 grad_norm: 5.2626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5291 loss: 1.5291 2022/08/03 01:14:34 - mmengine - INFO - Epoch(train) [73][460/1879] lr: 1.0000e-02 eta: 1 day, 3:16:48 time: 0.2858 data_time: 0.0197 memory: 8198 grad_norm: 5.1697 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4797 loss: 1.4797 2022/08/03 01:14:40 - mmengine - INFO - Epoch(train) [73][480/1879] lr: 1.0000e-02 eta: 1 day, 3:16:42 time: 0.2823 data_time: 0.0231 memory: 8198 grad_norm: 5.3245 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/08/03 01:14:46 - mmengine - INFO - Epoch(train) [73][500/1879] lr: 1.0000e-02 eta: 1 day, 3:16:36 time: 0.2881 data_time: 0.0226 memory: 8198 grad_norm: 5.1883 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7270 loss: 1.7270 2022/08/03 01:14:51 - mmengine - INFO - Epoch(train) [73][520/1879] lr: 1.0000e-02 eta: 1 day, 3:16:31 time: 0.2798 data_time: 0.0231 memory: 8198 grad_norm: 5.4188 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7091 loss: 1.7091 2022/08/03 01:14:57 - mmengine - INFO - Epoch(train) [73][540/1879] lr: 1.0000e-02 eta: 1 day, 3:16:25 time: 0.2838 data_time: 0.0257 memory: 8198 grad_norm: 5.3685 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5436 loss: 1.5436 2022/08/03 01:15:03 - mmengine - INFO - Epoch(train) [73][560/1879] lr: 1.0000e-02 eta: 1 day, 3:16:19 time: 0.2814 data_time: 0.0213 memory: 8198 grad_norm: 5.3797 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6575 loss: 1.6575 2022/08/03 01:15:08 - mmengine - INFO - Epoch(train) [73][580/1879] lr: 1.0000e-02 eta: 1 day, 3:16:13 time: 0.2852 data_time: 0.0245 memory: 8198 grad_norm: 5.2778 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7591 loss: 1.7591 2022/08/03 01:15:14 - mmengine - INFO - Epoch(train) [73][600/1879] lr: 1.0000e-02 eta: 1 day, 3:16:08 time: 0.2814 data_time: 0.0223 memory: 8198 grad_norm: 5.2583 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6925 loss: 1.6925 2022/08/03 01:15:20 - mmengine - INFO - Epoch(train) [73][620/1879] lr: 1.0000e-02 eta: 1 day, 3:16:02 time: 0.2838 data_time: 0.0214 memory: 8198 grad_norm: 5.2397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5262 loss: 1.5262 2022/08/03 01:15:25 - mmengine - INFO - Epoch(train) [73][640/1879] lr: 1.0000e-02 eta: 1 day, 3:15:56 time: 0.2814 data_time: 0.0217 memory: 8198 grad_norm: 5.3158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7513 loss: 1.7513 2022/08/03 01:15:31 - mmengine - INFO - Epoch(train) [73][660/1879] lr: 1.0000e-02 eta: 1 day, 3:15:50 time: 0.2855 data_time: 0.0242 memory: 8198 grad_norm: 5.1261 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6658 loss: 1.6658 2022/08/03 01:15:37 - mmengine - INFO - Epoch(train) [73][680/1879] lr: 1.0000e-02 eta: 1 day, 3:15:44 time: 0.2809 data_time: 0.0246 memory: 8198 grad_norm: 5.1473 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6586 loss: 1.6586 2022/08/03 01:15:42 - mmengine - INFO - Epoch(train) [73][700/1879] lr: 1.0000e-02 eta: 1 day, 3:15:39 time: 0.2822 data_time: 0.0238 memory: 8198 grad_norm: 5.4163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5266 loss: 1.5266 2022/08/03 01:15:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:15:48 - mmengine - INFO - Epoch(train) [73][720/1879] lr: 1.0000e-02 eta: 1 day, 3:15:33 time: 0.2952 data_time: 0.0259 memory: 8198 grad_norm: 5.2773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7291 loss: 1.7291 2022/08/03 01:15:54 - mmengine - INFO - Epoch(train) [73][740/1879] lr: 1.0000e-02 eta: 1 day, 3:15:28 time: 0.2823 data_time: 0.0220 memory: 8198 grad_norm: 5.2179 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7311 loss: 1.7311 2022/08/03 01:16:00 - mmengine - INFO - Epoch(train) [73][760/1879] lr: 1.0000e-02 eta: 1 day, 3:15:22 time: 0.2844 data_time: 0.0205 memory: 8198 grad_norm: 5.2078 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5855 loss: 1.5855 2022/08/03 01:16:05 - mmengine - INFO - Epoch(train) [73][780/1879] lr: 1.0000e-02 eta: 1 day, 3:15:16 time: 0.2821 data_time: 0.0270 memory: 8198 grad_norm: 5.2044 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6837 loss: 1.6837 2022/08/03 01:16:11 - mmengine - INFO - Epoch(train) [73][800/1879] lr: 1.0000e-02 eta: 1 day, 3:15:10 time: 0.2837 data_time: 0.0263 memory: 8198 grad_norm: 5.0845 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5379 loss: 1.5379 2022/08/03 01:16:17 - mmengine - INFO - Epoch(train) [73][820/1879] lr: 1.0000e-02 eta: 1 day, 3:15:05 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 5.2666 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6019 loss: 1.6019 2022/08/03 01:16:22 - mmengine - INFO - Epoch(train) [73][840/1879] lr: 1.0000e-02 eta: 1 day, 3:14:59 time: 0.2836 data_time: 0.0252 memory: 8198 grad_norm: 5.2451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4265 loss: 1.4265 2022/08/03 01:16:28 - mmengine - INFO - Epoch(train) [73][860/1879] lr: 1.0000e-02 eta: 1 day, 3:14:53 time: 0.2822 data_time: 0.0262 memory: 8198 grad_norm: 5.4281 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8968 loss: 1.8968 2022/08/03 01:16:34 - mmengine - INFO - Epoch(train) [73][880/1879] lr: 1.0000e-02 eta: 1 day, 3:14:48 time: 0.2949 data_time: 0.0217 memory: 8198 grad_norm: 5.3374 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6907 loss: 1.6907 2022/08/03 01:16:39 - mmengine - INFO - Epoch(train) [73][900/1879] lr: 1.0000e-02 eta: 1 day, 3:14:42 time: 0.2810 data_time: 0.0225 memory: 8198 grad_norm: 5.2444 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7209 loss: 1.7209 2022/08/03 01:16:45 - mmengine - INFO - Epoch(train) [73][920/1879] lr: 1.0000e-02 eta: 1 day, 3:14:36 time: 0.2826 data_time: 0.0230 memory: 8198 grad_norm: 5.1384 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7023 loss: 1.7023 2022/08/03 01:16:51 - mmengine - INFO - Epoch(train) [73][940/1879] lr: 1.0000e-02 eta: 1 day, 3:14:31 time: 0.2855 data_time: 0.0243 memory: 8198 grad_norm: 5.2911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6730 loss: 1.6730 2022/08/03 01:16:57 - mmengine - INFO - Epoch(train) [73][960/1879] lr: 1.0000e-02 eta: 1 day, 3:14:25 time: 0.2840 data_time: 0.0217 memory: 8198 grad_norm: 5.2543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8331 loss: 1.8331 2022/08/03 01:17:02 - mmengine - INFO - Epoch(train) [73][980/1879] lr: 1.0000e-02 eta: 1 day, 3:14:19 time: 0.2823 data_time: 0.0249 memory: 8198 grad_norm: 5.2832 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5660 loss: 1.5660 2022/08/03 01:17:08 - mmengine - INFO - Epoch(train) [73][1000/1879] lr: 1.0000e-02 eta: 1 day, 3:14:14 time: 0.2871 data_time: 0.0235 memory: 8198 grad_norm: 5.3670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6604 loss: 1.6604 2022/08/03 01:17:14 - mmengine - INFO - Epoch(train) [73][1020/1879] lr: 1.0000e-02 eta: 1 day, 3:14:08 time: 0.2827 data_time: 0.0222 memory: 8198 grad_norm: 5.1951 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6218 loss: 1.6218 2022/08/03 01:17:19 - mmengine - INFO - Epoch(train) [73][1040/1879] lr: 1.0000e-02 eta: 1 day, 3:14:02 time: 0.2832 data_time: 0.0199 memory: 8198 grad_norm: 5.3400 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5186 loss: 1.5186 2022/08/03 01:17:25 - mmengine - INFO - Epoch(train) [73][1060/1879] lr: 1.0000e-02 eta: 1 day, 3:13:56 time: 0.2808 data_time: 0.0231 memory: 8198 grad_norm: 5.3298 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7674 loss: 1.7674 2022/08/03 01:17:31 - mmengine - INFO - Epoch(train) [73][1080/1879] lr: 1.0000e-02 eta: 1 day, 3:13:51 time: 0.2857 data_time: 0.0303 memory: 8198 grad_norm: 5.2779 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7312 loss: 1.7312 2022/08/03 01:17:36 - mmengine - INFO - Epoch(train) [73][1100/1879] lr: 1.0000e-02 eta: 1 day, 3:13:45 time: 0.2851 data_time: 0.0261 memory: 8198 grad_norm: 5.1941 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5871 loss: 1.5871 2022/08/03 01:17:42 - mmengine - INFO - Epoch(train) [73][1120/1879] lr: 1.0000e-02 eta: 1 day, 3:13:39 time: 0.2836 data_time: 0.0227 memory: 8198 grad_norm: 5.2721 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6777 loss: 1.6777 2022/08/03 01:17:48 - mmengine - INFO - Epoch(train) [73][1140/1879] lr: 1.0000e-02 eta: 1 day, 3:13:34 time: 0.2874 data_time: 0.0235 memory: 8198 grad_norm: 5.2421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5881 loss: 1.5881 2022/08/03 01:17:53 - mmengine - INFO - Epoch(train) [73][1160/1879] lr: 1.0000e-02 eta: 1 day, 3:13:28 time: 0.2830 data_time: 0.0249 memory: 8198 grad_norm: 5.4075 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8287 loss: 1.8287 2022/08/03 01:17:59 - mmengine - INFO - Epoch(train) [73][1180/1879] lr: 1.0000e-02 eta: 1 day, 3:13:22 time: 0.2831 data_time: 0.0234 memory: 8198 grad_norm: 5.2308 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6438 loss: 1.6438 2022/08/03 01:18:05 - mmengine - INFO - Epoch(train) [73][1200/1879] lr: 1.0000e-02 eta: 1 day, 3:13:16 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 5.2387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6486 loss: 1.6486 2022/08/03 01:18:11 - mmengine - INFO - Epoch(train) [73][1220/1879] lr: 1.0000e-02 eta: 1 day, 3:13:11 time: 0.2916 data_time: 0.0310 memory: 8198 grad_norm: 5.3272 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8143 loss: 1.8143 2022/08/03 01:18:16 - mmengine - INFO - Epoch(train) [73][1240/1879] lr: 1.0000e-02 eta: 1 day, 3:13:05 time: 0.2830 data_time: 0.0201 memory: 8198 grad_norm: 5.1762 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6275 loss: 1.6275 2022/08/03 01:18:22 - mmengine - INFO - Epoch(train) [73][1260/1879] lr: 1.0000e-02 eta: 1 day, 3:13:00 time: 0.2849 data_time: 0.0237 memory: 8198 grad_norm: 5.2355 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6240 loss: 1.6240 2022/08/03 01:18:28 - mmengine - INFO - Epoch(train) [73][1280/1879] lr: 1.0000e-02 eta: 1 day, 3:12:55 time: 0.2966 data_time: 0.0248 memory: 8198 grad_norm: 5.4066 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8203 loss: 1.8203 2022/08/03 01:18:34 - mmengine - INFO - Epoch(train) [73][1300/1879] lr: 1.0000e-02 eta: 1 day, 3:12:49 time: 0.2798 data_time: 0.0226 memory: 8198 grad_norm: 5.3155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9088 loss: 1.9088 2022/08/03 01:18:39 - mmengine - INFO - Epoch(train) [73][1320/1879] lr: 1.0000e-02 eta: 1 day, 3:12:43 time: 0.2819 data_time: 0.0227 memory: 8198 grad_norm: 5.1537 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5543 loss: 1.5543 2022/08/03 01:18:45 - mmengine - INFO - Epoch(train) [73][1340/1879] lr: 1.0000e-02 eta: 1 day, 3:12:38 time: 0.2986 data_time: 0.0272 memory: 8198 grad_norm: 5.2215 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7056 loss: 1.7056 2022/08/03 01:18:51 - mmengine - INFO - Epoch(train) [73][1360/1879] lr: 1.0000e-02 eta: 1 day, 3:12:33 time: 0.2909 data_time: 0.0223 memory: 8198 grad_norm: 5.1962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5071 loss: 1.5071 2022/08/03 01:18:57 - mmengine - INFO - Epoch(train) [73][1380/1879] lr: 1.0000e-02 eta: 1 day, 3:12:27 time: 0.2850 data_time: 0.0229 memory: 8198 grad_norm: 5.2168 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6018 loss: 1.6018 2022/08/03 01:19:02 - mmengine - INFO - Epoch(train) [73][1400/1879] lr: 1.0000e-02 eta: 1 day, 3:12:21 time: 0.2833 data_time: 0.0216 memory: 8198 grad_norm: 5.3856 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7360 loss: 1.7360 2022/08/03 01:19:08 - mmengine - INFO - Epoch(train) [73][1420/1879] lr: 1.0000e-02 eta: 1 day, 3:12:16 time: 0.2859 data_time: 0.0267 memory: 8198 grad_norm: 5.1289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6771 loss: 1.6771 2022/08/03 01:19:14 - mmengine - INFO - Epoch(train) [73][1440/1879] lr: 1.0000e-02 eta: 1 day, 3:12:10 time: 0.2859 data_time: 0.0244 memory: 8198 grad_norm: 5.1959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7670 loss: 1.7670 2022/08/03 01:19:20 - mmengine - INFO - Epoch(train) [73][1460/1879] lr: 1.0000e-02 eta: 1 day, 3:12:04 time: 0.2878 data_time: 0.0275 memory: 8198 grad_norm: 5.1418 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6504 loss: 1.6504 2022/08/03 01:19:25 - mmengine - INFO - Epoch(train) [73][1480/1879] lr: 1.0000e-02 eta: 1 day, 3:11:59 time: 0.2849 data_time: 0.0189 memory: 8198 grad_norm: 5.3813 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5497 loss: 1.5497 2022/08/03 01:19:31 - mmengine - INFO - Epoch(train) [73][1500/1879] lr: 1.0000e-02 eta: 1 day, 3:11:53 time: 0.2896 data_time: 0.0237 memory: 8198 grad_norm: 5.2265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5051 loss: 1.5051 2022/08/03 01:19:37 - mmengine - INFO - Epoch(train) [73][1520/1879] lr: 1.0000e-02 eta: 1 day, 3:11:48 time: 0.2830 data_time: 0.0242 memory: 8198 grad_norm: 5.1967 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6198 loss: 1.6198 2022/08/03 01:19:43 - mmengine - INFO - Epoch(train) [73][1540/1879] lr: 1.0000e-02 eta: 1 day, 3:11:42 time: 0.2937 data_time: 0.0281 memory: 8198 grad_norm: 5.3447 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8543 loss: 1.8543 2022/08/03 01:19:48 - mmengine - INFO - Epoch(train) [73][1560/1879] lr: 1.0000e-02 eta: 1 day, 3:11:37 time: 0.2831 data_time: 0.0287 memory: 8198 grad_norm: 5.3042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7456 loss: 1.7456 2022/08/03 01:19:54 - mmengine - INFO - Epoch(train) [73][1580/1879] lr: 1.0000e-02 eta: 1 day, 3:11:31 time: 0.2806 data_time: 0.0235 memory: 8198 grad_norm: 5.1993 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5204 loss: 1.5204 2022/08/03 01:20:00 - mmengine - INFO - Epoch(train) [73][1600/1879] lr: 1.0000e-02 eta: 1 day, 3:11:25 time: 0.2921 data_time: 0.0236 memory: 8198 grad_norm: 5.3448 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5712 loss: 1.5712 2022/08/03 01:20:06 - mmengine - INFO - Epoch(train) [73][1620/1879] lr: 1.0000e-02 eta: 1 day, 3:11:20 time: 0.2821 data_time: 0.0241 memory: 8198 grad_norm: 5.3071 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6433 loss: 1.6433 2022/08/03 01:20:11 - mmengine - INFO - Epoch(train) [73][1640/1879] lr: 1.0000e-02 eta: 1 day, 3:11:14 time: 0.2852 data_time: 0.0277 memory: 8198 grad_norm: 5.3192 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7945 loss: 1.7945 2022/08/03 01:20:17 - mmengine - INFO - Epoch(train) [73][1660/1879] lr: 1.0000e-02 eta: 1 day, 3:11:09 time: 0.3005 data_time: 0.0217 memory: 8198 grad_norm: 5.2695 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/08/03 01:20:23 - mmengine - INFO - Epoch(train) [73][1680/1879] lr: 1.0000e-02 eta: 1 day, 3:11:03 time: 0.2780 data_time: 0.0212 memory: 8198 grad_norm: 5.1519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7343 loss: 1.7343 2022/08/03 01:20:29 - mmengine - INFO - Epoch(train) [73][1700/1879] lr: 1.0000e-02 eta: 1 day, 3:10:58 time: 0.2900 data_time: 0.0232 memory: 8198 grad_norm: 5.1986 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8587 loss: 1.8587 2022/08/03 01:20:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:20:34 - mmengine - INFO - Epoch(train) [73][1720/1879] lr: 1.0000e-02 eta: 1 day, 3:10:52 time: 0.2837 data_time: 0.0249 memory: 8198 grad_norm: 5.2811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6814 loss: 1.6814 2022/08/03 01:20:40 - mmengine - INFO - Epoch(train) [73][1740/1879] lr: 1.0000e-02 eta: 1 day, 3:10:46 time: 0.2881 data_time: 0.0244 memory: 8198 grad_norm: 5.2132 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6644 loss: 1.6644 2022/08/03 01:20:46 - mmengine - INFO - Epoch(train) [73][1760/1879] lr: 1.0000e-02 eta: 1 day, 3:10:41 time: 0.2866 data_time: 0.0287 memory: 8198 grad_norm: 5.3036 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6801 loss: 1.6801 2022/08/03 01:20:52 - mmengine - INFO - Epoch(train) [73][1780/1879] lr: 1.0000e-02 eta: 1 day, 3:10:35 time: 0.2800 data_time: 0.0227 memory: 8198 grad_norm: 5.3675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6612 loss: 1.6612 2022/08/03 01:20:57 - mmengine - INFO - Epoch(train) [73][1800/1879] lr: 1.0000e-02 eta: 1 day, 3:10:29 time: 0.2869 data_time: 0.0243 memory: 8198 grad_norm: 5.2330 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6592 loss: 1.6592 2022/08/03 01:21:03 - mmengine - INFO - Epoch(train) [73][1820/1879] lr: 1.0000e-02 eta: 1 day, 3:10:24 time: 0.2833 data_time: 0.0243 memory: 8198 grad_norm: 5.2731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7992 loss: 1.7992 2022/08/03 01:21:09 - mmengine - INFO - Epoch(train) [73][1840/1879] lr: 1.0000e-02 eta: 1 day, 3:10:18 time: 0.2832 data_time: 0.0222 memory: 8198 grad_norm: 5.3269 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6224 loss: 1.6224 2022/08/03 01:21:14 - mmengine - INFO - Epoch(train) [73][1860/1879] lr: 1.0000e-02 eta: 1 day, 3:10:12 time: 0.2808 data_time: 0.0223 memory: 8198 grad_norm: 5.2518 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6380 loss: 1.6380 2022/08/03 01:21:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:21:19 - mmengine - INFO - Epoch(train) [73][1879/1879] lr: 1.0000e-02 eta: 1 day, 3:10:12 time: 0.2595 data_time: 0.0170 memory: 8198 grad_norm: 5.3943 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6315 loss: 1.6315 2022/08/03 01:21:27 - mmengine - INFO - Epoch(train) [74][20/1879] lr: 1.0000e-02 eta: 1 day, 3:09:53 time: 0.4007 data_time: 0.0918 memory: 8198 grad_norm: 5.3016 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5799 loss: 1.5799 2022/08/03 01:21:33 - mmengine - INFO - Epoch(train) [74][40/1879] lr: 1.0000e-02 eta: 1 day, 3:09:48 time: 0.2958 data_time: 0.0188 memory: 8198 grad_norm: 5.1841 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7002 loss: 1.7002 2022/08/03 01:21:39 - mmengine - INFO - Epoch(train) [74][60/1879] lr: 1.0000e-02 eta: 1 day, 3:09:43 time: 0.2910 data_time: 0.0233 memory: 8198 grad_norm: 5.1470 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6172 loss: 1.6172 2022/08/03 01:21:45 - mmengine - INFO - Epoch(train) [74][80/1879] lr: 1.0000e-02 eta: 1 day, 3:09:37 time: 0.2831 data_time: 0.0217 memory: 8198 grad_norm: 5.2654 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7134 loss: 1.7134 2022/08/03 01:21:51 - mmengine - INFO - Epoch(train) [74][100/1879] lr: 1.0000e-02 eta: 1 day, 3:09:31 time: 0.2892 data_time: 0.0237 memory: 8198 grad_norm: 5.1027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5916 loss: 1.5916 2022/08/03 01:21:56 - mmengine - INFO - Epoch(train) [74][120/1879] lr: 1.0000e-02 eta: 1 day, 3:09:26 time: 0.2887 data_time: 0.0245 memory: 8198 grad_norm: 5.2003 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6633 loss: 1.6633 2022/08/03 01:22:02 - mmengine - INFO - Epoch(train) [74][140/1879] lr: 1.0000e-02 eta: 1 day, 3:09:20 time: 0.2817 data_time: 0.0199 memory: 8198 grad_norm: 5.3438 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7797 loss: 1.7797 2022/08/03 01:22:08 - mmengine - INFO - Epoch(train) [74][160/1879] lr: 1.0000e-02 eta: 1 day, 3:09:14 time: 0.2842 data_time: 0.0186 memory: 8198 grad_norm: 5.3481 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6002 loss: 1.6002 2022/08/03 01:22:14 - mmengine - INFO - Epoch(train) [74][180/1879] lr: 1.0000e-02 eta: 1 day, 3:09:09 time: 0.2920 data_time: 0.0247 memory: 8198 grad_norm: 5.2598 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8475 loss: 1.8475 2022/08/03 01:22:19 - mmengine - INFO - Epoch(train) [74][200/1879] lr: 1.0000e-02 eta: 1 day, 3:09:03 time: 0.2783 data_time: 0.0199 memory: 8198 grad_norm: 5.1492 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5580 loss: 1.5580 2022/08/03 01:22:25 - mmengine - INFO - Epoch(train) [74][220/1879] lr: 1.0000e-02 eta: 1 day, 3:08:57 time: 0.2828 data_time: 0.0208 memory: 8198 grad_norm: 5.3097 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7613 loss: 1.7613 2022/08/03 01:22:31 - mmengine - INFO - Epoch(train) [74][240/1879] lr: 1.0000e-02 eta: 1 day, 3:08:52 time: 0.2856 data_time: 0.0246 memory: 8198 grad_norm: 5.2120 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6666 loss: 1.6666 2022/08/03 01:22:36 - mmengine - INFO - Epoch(train) [74][260/1879] lr: 1.0000e-02 eta: 1 day, 3:08:46 time: 0.2849 data_time: 0.0216 memory: 8198 grad_norm: 5.1890 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7517 loss: 1.7517 2022/08/03 01:22:42 - mmengine - INFO - Epoch(train) [74][280/1879] lr: 1.0000e-02 eta: 1 day, 3:08:40 time: 0.2806 data_time: 0.0215 memory: 8198 grad_norm: 5.3028 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7052 loss: 1.7052 2022/08/03 01:22:48 - mmengine - INFO - Epoch(train) [74][300/1879] lr: 1.0000e-02 eta: 1 day, 3:08:35 time: 0.2937 data_time: 0.0214 memory: 8198 grad_norm: 5.1299 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5432 loss: 1.5432 2022/08/03 01:22:53 - mmengine - INFO - Epoch(train) [74][320/1879] lr: 1.0000e-02 eta: 1 day, 3:08:29 time: 0.2810 data_time: 0.0247 memory: 8198 grad_norm: 5.2016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6200 loss: 1.6200 2022/08/03 01:22:59 - mmengine - INFO - Epoch(train) [74][340/1879] lr: 1.0000e-02 eta: 1 day, 3:08:24 time: 0.2863 data_time: 0.0277 memory: 8198 grad_norm: 5.2500 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4230 loss: 1.4230 2022/08/03 01:23:05 - mmengine - INFO - Epoch(train) [74][360/1879] lr: 1.0000e-02 eta: 1 day, 3:08:18 time: 0.2817 data_time: 0.0196 memory: 8198 grad_norm: 5.3645 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5144 loss: 1.5144 2022/08/03 01:23:11 - mmengine - INFO - Epoch(train) [74][380/1879] lr: 1.0000e-02 eta: 1 day, 3:08:13 time: 0.3005 data_time: 0.0237 memory: 8198 grad_norm: 5.3423 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6209 loss: 1.6209 2022/08/03 01:23:17 - mmengine - INFO - Epoch(train) [74][400/1879] lr: 1.0000e-02 eta: 1 day, 3:08:07 time: 0.2838 data_time: 0.0202 memory: 8198 grad_norm: 5.3496 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8001 loss: 1.8001 2022/08/03 01:23:22 - mmengine - INFO - Epoch(train) [74][420/1879] lr: 1.0000e-02 eta: 1 day, 3:08:01 time: 0.2818 data_time: 0.0263 memory: 8198 grad_norm: 5.2481 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7944 loss: 1.7944 2022/08/03 01:23:28 - mmengine - INFO - Epoch(train) [74][440/1879] lr: 1.0000e-02 eta: 1 day, 3:07:56 time: 0.3006 data_time: 0.0194 memory: 8198 grad_norm: 5.2711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7242 loss: 1.7242 2022/08/03 01:23:34 - mmengine - INFO - Epoch(train) [74][460/1879] lr: 1.0000e-02 eta: 1 day, 3:07:51 time: 0.2824 data_time: 0.0246 memory: 8198 grad_norm: 5.4134 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6689 loss: 1.6689 2022/08/03 01:23:39 - mmengine - INFO - Epoch(train) [74][480/1879] lr: 1.0000e-02 eta: 1 day, 3:07:45 time: 0.2804 data_time: 0.0231 memory: 8198 grad_norm: 5.2653 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7518 loss: 1.7518 2022/08/03 01:23:45 - mmengine - INFO - Epoch(train) [74][500/1879] lr: 1.0000e-02 eta: 1 day, 3:07:39 time: 0.2833 data_time: 0.0276 memory: 8198 grad_norm: 5.3598 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5950 loss: 1.5950 2022/08/03 01:23:51 - mmengine - INFO - Epoch(train) [74][520/1879] lr: 1.0000e-02 eta: 1 day, 3:07:34 time: 0.2889 data_time: 0.0219 memory: 8198 grad_norm: 5.2038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/08/03 01:23:57 - mmengine - INFO - Epoch(train) [74][540/1879] lr: 1.0000e-02 eta: 1 day, 3:07:28 time: 0.2908 data_time: 0.0244 memory: 8198 grad_norm: 5.2227 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5499 loss: 1.5499 2022/08/03 01:24:03 - mmengine - INFO - Epoch(train) [74][560/1879] lr: 1.0000e-02 eta: 1 day, 3:07:23 time: 0.2896 data_time: 0.0218 memory: 8198 grad_norm: 5.2924 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8112 loss: 1.8112 2022/08/03 01:24:08 - mmengine - INFO - Epoch(train) [74][580/1879] lr: 1.0000e-02 eta: 1 day, 3:07:17 time: 0.2865 data_time: 0.0240 memory: 8198 grad_norm: 5.4269 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6241 loss: 1.6241 2022/08/03 01:24:14 - mmengine - INFO - Epoch(train) [74][600/1879] lr: 1.0000e-02 eta: 1 day, 3:07:11 time: 0.2842 data_time: 0.0228 memory: 8198 grad_norm: 5.3124 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7492 loss: 1.7492 2022/08/03 01:24:20 - mmengine - INFO - Epoch(train) [74][620/1879] lr: 1.0000e-02 eta: 1 day, 3:07:06 time: 0.2838 data_time: 0.0248 memory: 8198 grad_norm: 5.0536 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5700 loss: 1.5700 2022/08/03 01:24:25 - mmengine - INFO - Epoch(train) [74][640/1879] lr: 1.0000e-02 eta: 1 day, 3:07:00 time: 0.2840 data_time: 0.0233 memory: 8198 grad_norm: 5.3651 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7742 loss: 1.7742 2022/08/03 01:24:31 - mmengine - INFO - Epoch(train) [74][660/1879] lr: 1.0000e-02 eta: 1 day, 3:06:54 time: 0.2840 data_time: 0.0245 memory: 8198 grad_norm: 5.1631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6533 loss: 1.6533 2022/08/03 01:24:37 - mmengine - INFO - Epoch(train) [74][680/1879] lr: 1.0000e-02 eta: 1 day, 3:06:49 time: 0.2834 data_time: 0.0239 memory: 8198 grad_norm: 5.2252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9512 loss: 1.9512 2022/08/03 01:24:43 - mmengine - INFO - Epoch(train) [74][700/1879] lr: 1.0000e-02 eta: 1 day, 3:06:43 time: 0.2850 data_time: 0.0241 memory: 8198 grad_norm: 5.2245 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7408 loss: 1.7408 2022/08/03 01:24:48 - mmengine - INFO - Epoch(train) [74][720/1879] lr: 1.0000e-02 eta: 1 day, 3:06:37 time: 0.2845 data_time: 0.0201 memory: 8198 grad_norm: 5.3358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6952 loss: 1.6952 2022/08/03 01:24:54 - mmengine - INFO - Epoch(train) [74][740/1879] lr: 1.0000e-02 eta: 1 day, 3:06:32 time: 0.2971 data_time: 0.0291 memory: 8198 grad_norm: 5.2357 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7748 loss: 1.7748 2022/08/03 01:25:00 - mmengine - INFO - Epoch(train) [74][760/1879] lr: 1.0000e-02 eta: 1 day, 3:06:26 time: 0.2816 data_time: 0.0215 memory: 8198 grad_norm: 5.3796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7915 loss: 1.7915 2022/08/03 01:25:06 - mmengine - INFO - Epoch(train) [74][780/1879] lr: 1.0000e-02 eta: 1 day, 3:06:21 time: 0.2849 data_time: 0.0238 memory: 8198 grad_norm: 5.2967 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4177 loss: 1.4177 2022/08/03 01:25:11 - mmengine - INFO - Epoch(train) [74][800/1879] lr: 1.0000e-02 eta: 1 day, 3:06:15 time: 0.2861 data_time: 0.0185 memory: 8198 grad_norm: 5.1781 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7375 loss: 1.7375 2022/08/03 01:25:17 - mmengine - INFO - Epoch(train) [74][820/1879] lr: 1.0000e-02 eta: 1 day, 3:06:10 time: 0.2885 data_time: 0.0202 memory: 8198 grad_norm: 5.2391 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9740 loss: 1.9740 2022/08/03 01:25:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:25:23 - mmengine - INFO - Epoch(train) [74][840/1879] lr: 1.0000e-02 eta: 1 day, 3:06:04 time: 0.2856 data_time: 0.0220 memory: 8198 grad_norm: 5.2832 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6214 loss: 1.6214 2022/08/03 01:25:29 - mmengine - INFO - Epoch(train) [74][860/1879] lr: 1.0000e-02 eta: 1 day, 3:05:59 time: 0.2901 data_time: 0.0201 memory: 8198 grad_norm: 5.5169 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7182 loss: 1.7182 2022/08/03 01:25:34 - mmengine - INFO - Epoch(train) [74][880/1879] lr: 1.0000e-02 eta: 1 day, 3:05:53 time: 0.2858 data_time: 0.0241 memory: 8198 grad_norm: 5.4149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8116 loss: 1.8116 2022/08/03 01:25:40 - mmengine - INFO - Epoch(train) [74][900/1879] lr: 1.0000e-02 eta: 1 day, 3:05:47 time: 0.2832 data_time: 0.0259 memory: 8198 grad_norm: 5.4310 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7039 loss: 1.7039 2022/08/03 01:25:46 - mmengine - INFO - Epoch(train) [74][920/1879] lr: 1.0000e-02 eta: 1 day, 3:05:41 time: 0.2827 data_time: 0.0239 memory: 8198 grad_norm: 5.2905 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7725 loss: 1.7725 2022/08/03 01:25:51 - mmengine - INFO - Epoch(train) [74][940/1879] lr: 1.0000e-02 eta: 1 day, 3:05:36 time: 0.2888 data_time: 0.0234 memory: 8198 grad_norm: 5.3386 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8117 loss: 1.8117 2022/08/03 01:25:57 - mmengine - INFO - Epoch(train) [74][960/1879] lr: 1.0000e-02 eta: 1 day, 3:05:30 time: 0.2811 data_time: 0.0245 memory: 8198 grad_norm: 5.2661 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6642 loss: 1.6642 2022/08/03 01:26:03 - mmengine - INFO - Epoch(train) [74][980/1879] lr: 1.0000e-02 eta: 1 day, 3:05:24 time: 0.2836 data_time: 0.0282 memory: 8198 grad_norm: 5.2817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6187 loss: 1.6187 2022/08/03 01:26:09 - mmengine - INFO - Epoch(train) [74][1000/1879] lr: 1.0000e-02 eta: 1 day, 3:05:19 time: 0.2973 data_time: 0.0173 memory: 8198 grad_norm: 5.2646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/08/03 01:26:14 - mmengine - INFO - Epoch(train) [74][1020/1879] lr: 1.0000e-02 eta: 1 day, 3:05:13 time: 0.2817 data_time: 0.0247 memory: 8198 grad_norm: 5.1519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7418 loss: 1.7418 2022/08/03 01:26:20 - mmengine - INFO - Epoch(train) [74][1040/1879] lr: 1.0000e-02 eta: 1 day, 3:05:08 time: 0.2813 data_time: 0.0203 memory: 8198 grad_norm: 5.3132 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6955 loss: 1.6955 2022/08/03 01:26:26 - mmengine - INFO - Epoch(train) [74][1060/1879] lr: 1.0000e-02 eta: 1 day, 3:05:02 time: 0.2826 data_time: 0.0262 memory: 8198 grad_norm: 5.4054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7466 loss: 1.7466 2022/08/03 01:26:31 - mmengine - INFO - Epoch(train) [74][1080/1879] lr: 1.0000e-02 eta: 1 day, 3:04:56 time: 0.2852 data_time: 0.0210 memory: 8198 grad_norm: 5.1591 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6715 loss: 1.6715 2022/08/03 01:26:37 - mmengine - INFO - Epoch(train) [74][1100/1879] lr: 1.0000e-02 eta: 1 day, 3:04:51 time: 0.2999 data_time: 0.0252 memory: 8198 grad_norm: 5.4100 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5071 loss: 1.5071 2022/08/03 01:26:43 - mmengine - INFO - Epoch(train) [74][1120/1879] lr: 1.0000e-02 eta: 1 day, 3:04:45 time: 0.2814 data_time: 0.0233 memory: 8198 grad_norm: 5.3996 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6748 loss: 1.6748 2022/08/03 01:26:49 - mmengine - INFO - Epoch(train) [74][1140/1879] lr: 1.0000e-02 eta: 1 day, 3:04:41 time: 0.3006 data_time: 0.0258 memory: 8198 grad_norm: 5.3213 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8135 loss: 1.8135 2022/08/03 01:26:55 - mmengine - INFO - Epoch(train) [74][1160/1879] lr: 1.0000e-02 eta: 1 day, 3:04:35 time: 0.2785 data_time: 0.0180 memory: 8198 grad_norm: 5.2443 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6454 loss: 1.6454 2022/08/03 01:27:00 - mmengine - INFO - Epoch(train) [74][1180/1879] lr: 1.0000e-02 eta: 1 day, 3:04:29 time: 0.2839 data_time: 0.0245 memory: 8198 grad_norm: 5.2470 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5927 loss: 1.5927 2022/08/03 01:27:06 - mmengine - INFO - Epoch(train) [74][1200/1879] lr: 1.0000e-02 eta: 1 day, 3:04:23 time: 0.2823 data_time: 0.0247 memory: 8198 grad_norm: 5.3637 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6829 loss: 1.6829 2022/08/03 01:27:12 - mmengine - INFO - Epoch(train) [74][1220/1879] lr: 1.0000e-02 eta: 1 day, 3:04:18 time: 0.2903 data_time: 0.0311 memory: 8198 grad_norm: 5.1943 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7926 loss: 1.7926 2022/08/03 01:27:18 - mmengine - INFO - Epoch(train) [74][1240/1879] lr: 1.0000e-02 eta: 1 day, 3:04:13 time: 0.2990 data_time: 0.0276 memory: 8198 grad_norm: 5.1151 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6650 loss: 1.6650 2022/08/03 01:27:23 - mmengine - INFO - Epoch(train) [74][1260/1879] lr: 1.0000e-02 eta: 1 day, 3:04:07 time: 0.2781 data_time: 0.0237 memory: 8198 grad_norm: 5.4214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8287 loss: 1.8287 2022/08/03 01:27:29 - mmengine - INFO - Epoch(train) [74][1280/1879] lr: 1.0000e-02 eta: 1 day, 3:04:02 time: 0.2970 data_time: 0.0234 memory: 8198 grad_norm: 5.2756 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4159 loss: 1.4159 2022/08/03 01:27:35 - mmengine - INFO - Epoch(train) [74][1300/1879] lr: 1.0000e-02 eta: 1 day, 3:03:56 time: 0.2858 data_time: 0.0250 memory: 8198 grad_norm: 5.1760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6064 loss: 1.6064 2022/08/03 01:27:41 - mmengine - INFO - Epoch(train) [74][1320/1879] lr: 1.0000e-02 eta: 1 day, 3:03:50 time: 0.2813 data_time: 0.0195 memory: 8198 grad_norm: 5.1677 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7747 loss: 1.7747 2022/08/03 01:27:46 - mmengine - INFO - Epoch(train) [74][1340/1879] lr: 1.0000e-02 eta: 1 day, 3:03:44 time: 0.2818 data_time: 0.0230 memory: 8198 grad_norm: 5.2169 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5711 loss: 1.5711 2022/08/03 01:27:52 - mmengine - INFO - Epoch(train) [74][1360/1879] lr: 1.0000e-02 eta: 1 day, 3:03:39 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 5.2868 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8614 loss: 1.8614 2022/08/03 01:27:58 - mmengine - INFO - Epoch(train) [74][1380/1879] lr: 1.0000e-02 eta: 1 day, 3:03:33 time: 0.2884 data_time: 0.0215 memory: 8198 grad_norm: 5.3367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7026 loss: 1.7026 2022/08/03 01:28:03 - mmengine - INFO - Epoch(train) [74][1400/1879] lr: 1.0000e-02 eta: 1 day, 3:03:27 time: 0.2827 data_time: 0.0208 memory: 8198 grad_norm: 5.3364 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7876 loss: 1.7876 2022/08/03 01:28:09 - mmengine - INFO - Epoch(train) [74][1420/1879] lr: 1.0000e-02 eta: 1 day, 3:03:22 time: 0.2851 data_time: 0.0241 memory: 8198 grad_norm: 5.1620 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8045 loss: 1.8045 2022/08/03 01:28:15 - mmengine - INFO - Epoch(train) [74][1440/1879] lr: 1.0000e-02 eta: 1 day, 3:03:16 time: 0.2821 data_time: 0.0203 memory: 8198 grad_norm: 5.2174 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8177 loss: 1.8177 2022/08/03 01:28:21 - mmengine - INFO - Epoch(train) [74][1460/1879] lr: 1.0000e-02 eta: 1 day, 3:03:10 time: 0.2881 data_time: 0.0238 memory: 8198 grad_norm: 5.1710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/08/03 01:28:26 - mmengine - INFO - Epoch(train) [74][1480/1879] lr: 1.0000e-02 eta: 1 day, 3:03:05 time: 0.2911 data_time: 0.0262 memory: 8198 grad_norm: 5.2181 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4671 loss: 1.4671 2022/08/03 01:28:32 - mmengine - INFO - Epoch(train) [74][1500/1879] lr: 1.0000e-02 eta: 1 day, 3:03:00 time: 0.2952 data_time: 0.0202 memory: 8198 grad_norm: 5.2460 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7424 loss: 1.7424 2022/08/03 01:28:38 - mmengine - INFO - Epoch(train) [74][1520/1879] lr: 1.0000e-02 eta: 1 day, 3:02:54 time: 0.2820 data_time: 0.0226 memory: 8198 grad_norm: 5.0903 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7137 loss: 1.7137 2022/08/03 01:28:44 - mmengine - INFO - Epoch(train) [74][1540/1879] lr: 1.0000e-02 eta: 1 day, 3:02:48 time: 0.2804 data_time: 0.0246 memory: 8198 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5206 loss: 1.5206 2022/08/03 01:28:49 - mmengine - INFO - Epoch(train) [74][1560/1879] lr: 1.0000e-02 eta: 1 day, 3:02:42 time: 0.2819 data_time: 0.0213 memory: 8198 grad_norm: 5.4868 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7827 loss: 1.7827 2022/08/03 01:28:55 - mmengine - INFO - Epoch(train) [74][1580/1879] lr: 1.0000e-02 eta: 1 day, 3:02:37 time: 0.2841 data_time: 0.0288 memory: 8198 grad_norm: 5.3896 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6662 loss: 1.6662 2022/08/03 01:29:01 - mmengine - INFO - Epoch(train) [74][1600/1879] lr: 1.0000e-02 eta: 1 day, 3:02:31 time: 0.2868 data_time: 0.0198 memory: 8198 grad_norm: 5.1649 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7294 loss: 1.7294 2022/08/03 01:29:06 - mmengine - INFO - Epoch(train) [74][1620/1879] lr: 1.0000e-02 eta: 1 day, 3:02:25 time: 0.2864 data_time: 0.0203 memory: 8198 grad_norm: 5.3476 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6260 loss: 1.6260 2022/08/03 01:29:13 - mmengine - INFO - Epoch(train) [74][1640/1879] lr: 1.0000e-02 eta: 1 day, 3:02:21 time: 0.3083 data_time: 0.0217 memory: 8198 grad_norm: 5.2562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6425 loss: 1.6425 2022/08/03 01:29:18 - mmengine - INFO - Epoch(train) [74][1660/1879] lr: 1.0000e-02 eta: 1 day, 3:02:15 time: 0.2827 data_time: 0.0235 memory: 8198 grad_norm: 5.2374 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7103 loss: 1.7103 2022/08/03 01:29:24 - mmengine - INFO - Epoch(train) [74][1680/1879] lr: 1.0000e-02 eta: 1 day, 3:02:09 time: 0.2820 data_time: 0.0210 memory: 8198 grad_norm: 5.3464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5761 loss: 1.5761 2022/08/03 01:29:30 - mmengine - INFO - Epoch(train) [74][1700/1879] lr: 1.0000e-02 eta: 1 day, 3:02:04 time: 0.2849 data_time: 0.0212 memory: 8198 grad_norm: 5.1950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6295 loss: 1.6295 2022/08/03 01:29:35 - mmengine - INFO - Epoch(train) [74][1720/1879] lr: 1.0000e-02 eta: 1 day, 3:01:58 time: 0.2811 data_time: 0.0238 memory: 8198 grad_norm: 5.1094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7228 loss: 1.7228 2022/08/03 01:29:41 - mmengine - INFO - Epoch(train) [74][1740/1879] lr: 1.0000e-02 eta: 1 day, 3:01:52 time: 0.2842 data_time: 0.0224 memory: 8198 grad_norm: 5.2293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7418 loss: 1.7418 2022/08/03 01:29:47 - mmengine - INFO - Epoch(train) [74][1760/1879] lr: 1.0000e-02 eta: 1 day, 3:01:46 time: 0.2813 data_time: 0.0179 memory: 8198 grad_norm: 5.1148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6327 loss: 1.6327 2022/08/03 01:29:52 - mmengine - INFO - Epoch(train) [74][1780/1879] lr: 1.0000e-02 eta: 1 day, 3:01:40 time: 0.2820 data_time: 0.0245 memory: 8198 grad_norm: 5.2715 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4569 loss: 1.4569 2022/08/03 01:29:58 - mmengine - INFO - Epoch(train) [74][1800/1879] lr: 1.0000e-02 eta: 1 day, 3:01:35 time: 0.2937 data_time: 0.0227 memory: 8198 grad_norm: 5.3362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5822 loss: 1.5822 2022/08/03 01:30:04 - mmengine - INFO - Epoch(train) [74][1820/1879] lr: 1.0000e-02 eta: 1 day, 3:01:30 time: 0.2852 data_time: 0.0240 memory: 8198 grad_norm: 5.4152 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5694 loss: 1.5694 2022/08/03 01:30:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:30:10 - mmengine - INFO - Epoch(train) [74][1840/1879] lr: 1.0000e-02 eta: 1 day, 3:01:25 time: 0.3077 data_time: 0.0226 memory: 8198 grad_norm: 5.4581 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7341 loss: 1.7341 2022/08/03 01:30:16 - mmengine - INFO - Epoch(train) [74][1860/1879] lr: 1.0000e-02 eta: 1 day, 3:01:19 time: 0.2829 data_time: 0.0225 memory: 8198 grad_norm: 5.2701 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5163 loss: 1.5163 2022/08/03 01:30:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:30:21 - mmengine - INFO - Epoch(train) [74][1879/1879] lr: 1.0000e-02 eta: 1 day, 3:01:19 time: 0.2533 data_time: 0.0130 memory: 8198 grad_norm: 5.4330 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6686 loss: 1.6686 2022/08/03 01:30:29 - mmengine - INFO - Epoch(train) [75][20/1879] lr: 1.0000e-02 eta: 1 day, 3:01:01 time: 0.4036 data_time: 0.1211 memory: 8198 grad_norm: 5.2481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5564 loss: 1.5564 2022/08/03 01:30:34 - mmengine - INFO - Epoch(train) [75][40/1879] lr: 1.0000e-02 eta: 1 day, 3:00:55 time: 0.2822 data_time: 0.0219 memory: 8198 grad_norm: 5.2314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5970 loss: 1.5970 2022/08/03 01:30:41 - mmengine - INFO - Epoch(train) [75][60/1879] lr: 1.0000e-02 eta: 1 day, 3:00:50 time: 0.3064 data_time: 0.0215 memory: 8198 grad_norm: 5.1885 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5317 loss: 1.5317 2022/08/03 01:30:46 - mmengine - INFO - Epoch(train) [75][80/1879] lr: 1.0000e-02 eta: 1 day, 3:00:45 time: 0.2819 data_time: 0.0214 memory: 8198 grad_norm: 5.3075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6097 loss: 1.6097 2022/08/03 01:30:52 - mmengine - INFO - Epoch(train) [75][100/1879] lr: 1.0000e-02 eta: 1 day, 3:00:39 time: 0.2908 data_time: 0.0211 memory: 8198 grad_norm: 5.3428 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6665 loss: 1.6665 2022/08/03 01:30:58 - mmengine - INFO - Epoch(train) [75][120/1879] lr: 1.0000e-02 eta: 1 day, 3:00:34 time: 0.2947 data_time: 0.0236 memory: 8198 grad_norm: 5.2047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6440 loss: 1.6440 2022/08/03 01:31:04 - mmengine - INFO - Epoch(train) [75][140/1879] lr: 1.0000e-02 eta: 1 day, 3:00:28 time: 0.2794 data_time: 0.0195 memory: 8198 grad_norm: 5.1808 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8060 loss: 1.8060 2022/08/03 01:31:09 - mmengine - INFO - Epoch(train) [75][160/1879] lr: 1.0000e-02 eta: 1 day, 3:00:22 time: 0.2833 data_time: 0.0261 memory: 8198 grad_norm: 5.2786 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7477 loss: 1.7477 2022/08/03 01:31:15 - mmengine - INFO - Epoch(train) [75][180/1879] lr: 1.0000e-02 eta: 1 day, 3:00:16 time: 0.2813 data_time: 0.0244 memory: 8198 grad_norm: 5.0995 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6952 loss: 1.6952 2022/08/03 01:31:21 - mmengine - INFO - Epoch(train) [75][200/1879] lr: 1.0000e-02 eta: 1 day, 3:00:11 time: 0.2835 data_time: 0.0232 memory: 8198 grad_norm: 5.2556 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7000 loss: 1.7000 2022/08/03 01:31:26 - mmengine - INFO - Epoch(train) [75][220/1879] lr: 1.0000e-02 eta: 1 day, 3:00:05 time: 0.2820 data_time: 0.0235 memory: 8198 grad_norm: 5.0477 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5580 loss: 1.5580 2022/08/03 01:31:32 - mmengine - INFO - Epoch(train) [75][240/1879] lr: 1.0000e-02 eta: 1 day, 3:00:00 time: 0.2973 data_time: 0.0226 memory: 8198 grad_norm: 5.2036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4945 loss: 1.4945 2022/08/03 01:31:38 - mmengine - INFO - Epoch(train) [75][260/1879] lr: 1.0000e-02 eta: 1 day, 2:59:54 time: 0.2834 data_time: 0.0233 memory: 8198 grad_norm: 5.2712 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5867 loss: 1.5867 2022/08/03 01:31:44 - mmengine - INFO - Epoch(train) [75][280/1879] lr: 1.0000e-02 eta: 1 day, 2:59:49 time: 0.2872 data_time: 0.0267 memory: 8198 grad_norm: 5.2861 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6675 loss: 1.6675 2022/08/03 01:31:49 - mmengine - INFO - Epoch(train) [75][300/1879] lr: 1.0000e-02 eta: 1 day, 2:59:43 time: 0.2906 data_time: 0.0274 memory: 8198 grad_norm: 5.3361 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6477 loss: 1.6477 2022/08/03 01:31:55 - mmengine - INFO - Epoch(train) [75][320/1879] lr: 1.0000e-02 eta: 1 day, 2:59:37 time: 0.2804 data_time: 0.0259 memory: 8198 grad_norm: 5.3120 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6393 loss: 1.6393 2022/08/03 01:32:01 - mmengine - INFO - Epoch(train) [75][340/1879] lr: 1.0000e-02 eta: 1 day, 2:59:32 time: 0.2825 data_time: 0.0246 memory: 8198 grad_norm: 5.2555 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7972 loss: 1.7972 2022/08/03 01:32:06 - mmengine - INFO - Epoch(train) [75][360/1879] lr: 1.0000e-02 eta: 1 day, 2:59:26 time: 0.2817 data_time: 0.0244 memory: 8198 grad_norm: 5.1877 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7490 loss: 1.7490 2022/08/03 01:32:12 - mmengine - INFO - Epoch(train) [75][380/1879] lr: 1.0000e-02 eta: 1 day, 2:59:20 time: 0.2892 data_time: 0.0232 memory: 8198 grad_norm: 5.1588 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6618 loss: 1.6618 2022/08/03 01:32:18 - mmengine - INFO - Epoch(train) [75][400/1879] lr: 1.0000e-02 eta: 1 day, 2:59:14 time: 0.2798 data_time: 0.0213 memory: 8198 grad_norm: 5.3264 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6283 loss: 1.6283 2022/08/03 01:32:23 - mmengine - INFO - Epoch(train) [75][420/1879] lr: 1.0000e-02 eta: 1 day, 2:59:09 time: 0.2826 data_time: 0.0244 memory: 8198 grad_norm: 5.2499 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7114 loss: 1.7114 2022/08/03 01:32:29 - mmengine - INFO - Epoch(train) [75][440/1879] lr: 1.0000e-02 eta: 1 day, 2:59:04 time: 0.3007 data_time: 0.0216 memory: 8198 grad_norm: 5.2777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6404 loss: 1.6404 2022/08/03 01:32:35 - mmengine - INFO - Epoch(train) [75][460/1879] lr: 1.0000e-02 eta: 1 day, 2:58:58 time: 0.2839 data_time: 0.0267 memory: 8198 grad_norm: 5.2439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7686 loss: 1.7686 2022/08/03 01:32:41 - mmengine - INFO - Epoch(train) [75][480/1879] lr: 1.0000e-02 eta: 1 day, 2:58:52 time: 0.2808 data_time: 0.0219 memory: 8198 grad_norm: 5.2695 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3828 loss: 1.3828 2022/08/03 01:32:46 - mmengine - INFO - Epoch(train) [75][500/1879] lr: 1.0000e-02 eta: 1 day, 2:58:46 time: 0.2823 data_time: 0.0234 memory: 8198 grad_norm: 5.3592 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7455 loss: 1.7455 2022/08/03 01:32:52 - mmengine - INFO - Epoch(train) [75][520/1879] lr: 1.0000e-02 eta: 1 day, 2:58:41 time: 0.2831 data_time: 0.0217 memory: 8198 grad_norm: 5.2068 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5687 loss: 1.5687 2022/08/03 01:32:58 - mmengine - INFO - Epoch(train) [75][540/1879] lr: 1.0000e-02 eta: 1 day, 2:58:35 time: 0.2890 data_time: 0.0278 memory: 8198 grad_norm: 5.2911 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5493 loss: 1.5493 2022/08/03 01:33:04 - mmengine - INFO - Epoch(train) [75][560/1879] lr: 1.0000e-02 eta: 1 day, 2:58:29 time: 0.2833 data_time: 0.0233 memory: 8198 grad_norm: 5.3423 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6345 loss: 1.6345 2022/08/03 01:33:09 - mmengine - INFO - Epoch(train) [75][580/1879] lr: 1.0000e-02 eta: 1 day, 2:58:24 time: 0.2832 data_time: 0.0227 memory: 8198 grad_norm: 5.3805 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5465 loss: 1.5465 2022/08/03 01:33:15 - mmengine - INFO - Epoch(train) [75][600/1879] lr: 1.0000e-02 eta: 1 day, 2:58:18 time: 0.2823 data_time: 0.0207 memory: 8198 grad_norm: 5.4224 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5253 loss: 1.5253 2022/08/03 01:33:21 - mmengine - INFO - Epoch(train) [75][620/1879] lr: 1.0000e-02 eta: 1 day, 2:58:12 time: 0.2845 data_time: 0.0249 memory: 8198 grad_norm: 5.2515 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7595 loss: 1.7595 2022/08/03 01:33:26 - mmengine - INFO - Epoch(train) [75][640/1879] lr: 1.0000e-02 eta: 1 day, 2:58:06 time: 0.2819 data_time: 0.0178 memory: 8198 grad_norm: 5.3695 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7583 loss: 1.7583 2022/08/03 01:33:32 - mmengine - INFO - Epoch(train) [75][660/1879] lr: 1.0000e-02 eta: 1 day, 2:58:00 time: 0.2826 data_time: 0.0278 memory: 8198 grad_norm: 5.3421 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8209 loss: 1.8209 2022/08/03 01:33:38 - mmengine - INFO - Epoch(train) [75][680/1879] lr: 1.0000e-02 eta: 1 day, 2:57:55 time: 0.2884 data_time: 0.0220 memory: 8198 grad_norm: 5.2512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5532 loss: 1.5532 2022/08/03 01:33:43 - mmengine - INFO - Epoch(train) [75][700/1879] lr: 1.0000e-02 eta: 1 day, 2:57:49 time: 0.2820 data_time: 0.0264 memory: 8198 grad_norm: 5.2228 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6344 loss: 1.6344 2022/08/03 01:33:49 - mmengine - INFO - Epoch(train) [75][720/1879] lr: 1.0000e-02 eta: 1 day, 2:57:43 time: 0.2819 data_time: 0.0220 memory: 8198 grad_norm: 5.1126 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4788 loss: 1.4788 2022/08/03 01:33:55 - mmengine - INFO - Epoch(train) [75][740/1879] lr: 1.0000e-02 eta: 1 day, 2:57:38 time: 0.2861 data_time: 0.0224 memory: 8198 grad_norm: 5.3502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8350 loss: 1.8350 2022/08/03 01:34:00 - mmengine - INFO - Epoch(train) [75][760/1879] lr: 1.0000e-02 eta: 1 day, 2:57:32 time: 0.2860 data_time: 0.0208 memory: 8198 grad_norm: 5.4690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5925 loss: 1.5925 2022/08/03 01:34:06 - mmengine - INFO - Epoch(train) [75][780/1879] lr: 1.0000e-02 eta: 1 day, 2:57:26 time: 0.2845 data_time: 0.0253 memory: 8198 grad_norm: 5.5805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6951 loss: 1.6951 2022/08/03 01:34:12 - mmengine - INFO - Epoch(train) [75][800/1879] lr: 1.0000e-02 eta: 1 day, 2:57:21 time: 0.2890 data_time: 0.0209 memory: 8198 grad_norm: 5.3673 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5239 loss: 1.5239 2022/08/03 01:34:18 - mmengine - INFO - Epoch(train) [75][820/1879] lr: 1.0000e-02 eta: 1 day, 2:57:15 time: 0.2834 data_time: 0.0269 memory: 8198 grad_norm: 5.3130 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5657 loss: 1.5657 2022/08/03 01:34:23 - mmengine - INFO - Epoch(train) [75][840/1879] lr: 1.0000e-02 eta: 1 day, 2:57:09 time: 0.2823 data_time: 0.0226 memory: 8198 grad_norm: 5.2619 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6716 loss: 1.6716 2022/08/03 01:34:29 - mmengine - INFO - Epoch(train) [75][860/1879] lr: 1.0000e-02 eta: 1 day, 2:57:04 time: 0.2824 data_time: 0.0275 memory: 8198 grad_norm: 5.2924 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5785 loss: 1.5785 2022/08/03 01:34:35 - mmengine - INFO - Epoch(train) [75][880/1879] lr: 1.0000e-02 eta: 1 day, 2:56:58 time: 0.2837 data_time: 0.0285 memory: 8198 grad_norm: 5.3578 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9289 loss: 1.9289 2022/08/03 01:34:40 - mmengine - INFO - Epoch(train) [75][900/1879] lr: 1.0000e-02 eta: 1 day, 2:56:52 time: 0.2837 data_time: 0.0205 memory: 8198 grad_norm: 5.3294 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.5885 loss: 1.5885 2022/08/03 01:34:46 - mmengine - INFO - Epoch(train) [75][920/1879] lr: 1.0000e-02 eta: 1 day, 2:56:46 time: 0.2794 data_time: 0.0204 memory: 8198 grad_norm: 5.2497 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7300 loss: 1.7300 2022/08/03 01:34:52 - mmengine - INFO - Epoch(train) [75][940/1879] lr: 1.0000e-02 eta: 1 day, 2:56:41 time: 0.2920 data_time: 0.0203 memory: 8198 grad_norm: 5.2336 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5791 loss: 1.5791 2022/08/03 01:34:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:34:57 - mmengine - INFO - Epoch(train) [75][960/1879] lr: 1.0000e-02 eta: 1 day, 2:56:35 time: 0.2813 data_time: 0.0204 memory: 8198 grad_norm: 5.1005 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7359 loss: 1.7359 2022/08/03 01:35:03 - mmengine - INFO - Epoch(train) [75][980/1879] lr: 1.0000e-02 eta: 1 day, 2:56:30 time: 0.2925 data_time: 0.0229 memory: 8198 grad_norm: 5.2151 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6174 loss: 1.6174 2022/08/03 01:35:09 - mmengine - INFO - Epoch(train) [75][1000/1879] lr: 1.0000e-02 eta: 1 day, 2:56:25 time: 0.2946 data_time: 0.0227 memory: 8198 grad_norm: 5.3433 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6461 loss: 1.6461 2022/08/03 01:35:16 - mmengine - INFO - Epoch(train) [75][1020/1879] lr: 1.0000e-02 eta: 1 day, 2:56:21 time: 0.3362 data_time: 0.0204 memory: 8198 grad_norm: 5.3501 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6952 loss: 1.6952 2022/08/03 01:35:22 - mmengine - INFO - Epoch(train) [75][1040/1879] lr: 1.0000e-02 eta: 1 day, 2:56:16 time: 0.2873 data_time: 0.0220 memory: 8198 grad_norm: 5.3262 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6225 loss: 1.6225 2022/08/03 01:35:27 - mmengine - INFO - Epoch(train) [75][1060/1879] lr: 1.0000e-02 eta: 1 day, 2:56:10 time: 0.2816 data_time: 0.0211 memory: 8198 grad_norm: 5.2008 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7976 loss: 1.7976 2022/08/03 01:35:33 - mmengine - INFO - Epoch(train) [75][1080/1879] lr: 1.0000e-02 eta: 1 day, 2:56:04 time: 0.2839 data_time: 0.0192 memory: 8198 grad_norm: 5.3397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7022 loss: 1.7022 2022/08/03 01:35:39 - mmengine - INFO - Epoch(train) [75][1100/1879] lr: 1.0000e-02 eta: 1 day, 2:56:00 time: 0.3082 data_time: 0.0228 memory: 8198 grad_norm: 5.1947 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5477 loss: 1.5477 2022/08/03 01:35:45 - mmengine - INFO - Epoch(train) [75][1120/1879] lr: 1.0000e-02 eta: 1 day, 2:55:54 time: 0.2822 data_time: 0.0243 memory: 8198 grad_norm: 5.4039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6668 loss: 1.6668 2022/08/03 01:35:51 - mmengine - INFO - Epoch(train) [75][1140/1879] lr: 1.0000e-02 eta: 1 day, 2:55:48 time: 0.2846 data_time: 0.0231 memory: 8198 grad_norm: 5.2146 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5882 loss: 1.5882 2022/08/03 01:35:56 - mmengine - INFO - Epoch(train) [75][1160/1879] lr: 1.0000e-02 eta: 1 day, 2:55:42 time: 0.2786 data_time: 0.0208 memory: 8198 grad_norm: 5.4209 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7923 loss: 1.7923 2022/08/03 01:36:02 - mmengine - INFO - Epoch(train) [75][1180/1879] lr: 1.0000e-02 eta: 1 day, 2:55:37 time: 0.2864 data_time: 0.0214 memory: 8198 grad_norm: 5.1434 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4262 loss: 1.4262 2022/08/03 01:36:08 - mmengine - INFO - Epoch(train) [75][1200/1879] lr: 1.0000e-02 eta: 1 day, 2:55:31 time: 0.2898 data_time: 0.0283 memory: 8198 grad_norm: 5.2666 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8030 loss: 1.8030 2022/08/03 01:36:13 - mmengine - INFO - Epoch(train) [75][1220/1879] lr: 1.0000e-02 eta: 1 day, 2:55:26 time: 0.2817 data_time: 0.0237 memory: 8198 grad_norm: 5.2795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/08/03 01:36:19 - mmengine - INFO - Epoch(train) [75][1240/1879] lr: 1.0000e-02 eta: 1 day, 2:55:20 time: 0.2819 data_time: 0.0252 memory: 8198 grad_norm: 5.3994 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8641 loss: 1.8641 2022/08/03 01:36:25 - mmengine - INFO - Epoch(train) [75][1260/1879] lr: 1.0000e-02 eta: 1 day, 2:55:14 time: 0.2890 data_time: 0.0270 memory: 8198 grad_norm: 5.1927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6409 loss: 1.6409 2022/08/03 01:36:31 - mmengine - INFO - Epoch(train) [75][1280/1879] lr: 1.0000e-02 eta: 1 day, 2:55:09 time: 0.2941 data_time: 0.0244 memory: 8198 grad_norm: 5.3672 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6417 loss: 1.6417 2022/08/03 01:36:36 - mmengine - INFO - Epoch(train) [75][1300/1879] lr: 1.0000e-02 eta: 1 day, 2:55:03 time: 0.2807 data_time: 0.0197 memory: 8198 grad_norm: 5.4314 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7153 loss: 1.7153 2022/08/03 01:36:42 - mmengine - INFO - Epoch(train) [75][1320/1879] lr: 1.0000e-02 eta: 1 day, 2:54:58 time: 0.2926 data_time: 0.0239 memory: 8198 grad_norm: 5.2939 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7891 loss: 1.7891 2022/08/03 01:36:48 - mmengine - INFO - Epoch(train) [75][1340/1879] lr: 1.0000e-02 eta: 1 day, 2:54:52 time: 0.2860 data_time: 0.0264 memory: 8198 grad_norm: 5.2439 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9215 loss: 1.9215 2022/08/03 01:36:54 - mmengine - INFO - Epoch(train) [75][1360/1879] lr: 1.0000e-02 eta: 1 day, 2:54:47 time: 0.2875 data_time: 0.0219 memory: 8198 grad_norm: 5.3327 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7686 loss: 1.7686 2022/08/03 01:37:00 - mmengine - INFO - Epoch(train) [75][1380/1879] lr: 1.0000e-02 eta: 1 day, 2:54:42 time: 0.2963 data_time: 0.0240 memory: 8198 grad_norm: 5.3582 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5471 loss: 1.5471 2022/08/03 01:37:05 - mmengine - INFO - Epoch(train) [75][1400/1879] lr: 1.0000e-02 eta: 1 day, 2:54:36 time: 0.2830 data_time: 0.0218 memory: 8198 grad_norm: 5.3623 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7492 loss: 1.7492 2022/08/03 01:37:11 - mmengine - INFO - Epoch(train) [75][1420/1879] lr: 1.0000e-02 eta: 1 day, 2:54:30 time: 0.2818 data_time: 0.0260 memory: 8198 grad_norm: 5.3780 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5385 loss: 1.5385 2022/08/03 01:37:17 - mmengine - INFO - Epoch(train) [75][1440/1879] lr: 1.0000e-02 eta: 1 day, 2:54:24 time: 0.2829 data_time: 0.0256 memory: 8198 grad_norm: 5.4300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7360 loss: 1.7360 2022/08/03 01:37:23 - mmengine - INFO - Epoch(train) [75][1460/1879] lr: 1.0000e-02 eta: 1 day, 2:54:20 time: 0.3174 data_time: 0.0233 memory: 8198 grad_norm: 5.3130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6374 loss: 1.6374 2022/08/03 01:37:29 - mmengine - INFO - Epoch(train) [75][1480/1879] lr: 1.0000e-02 eta: 1 day, 2:54:15 time: 0.2848 data_time: 0.0291 memory: 8198 grad_norm: 5.4310 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6446 loss: 1.6446 2022/08/03 01:37:35 - mmengine - INFO - Epoch(train) [75][1500/1879] lr: 1.0000e-02 eta: 1 day, 2:54:09 time: 0.2888 data_time: 0.0257 memory: 8198 grad_norm: 5.1996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6025 loss: 1.6025 2022/08/03 01:37:40 - mmengine - INFO - Epoch(train) [75][1520/1879] lr: 1.0000e-02 eta: 1 day, 2:54:03 time: 0.2834 data_time: 0.0213 memory: 8198 grad_norm: 5.4658 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7821 loss: 1.7821 2022/08/03 01:37:46 - mmengine - INFO - Epoch(train) [75][1540/1879] lr: 1.0000e-02 eta: 1 day, 2:53:58 time: 0.2935 data_time: 0.0260 memory: 8198 grad_norm: 5.3730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6102 loss: 1.6102 2022/08/03 01:37:52 - mmengine - INFO - Epoch(train) [75][1560/1879] lr: 1.0000e-02 eta: 1 day, 2:53:52 time: 0.2870 data_time: 0.0199 memory: 8198 grad_norm: 5.2686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6582 loss: 1.6582 2022/08/03 01:37:58 - mmengine - INFO - Epoch(train) [75][1580/1879] lr: 1.0000e-02 eta: 1 day, 2:53:48 time: 0.3031 data_time: 0.0245 memory: 8198 grad_norm: 5.3088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6514 loss: 1.6514 2022/08/03 01:38:04 - mmengine - INFO - Epoch(train) [75][1600/1879] lr: 1.0000e-02 eta: 1 day, 2:53:42 time: 0.2819 data_time: 0.0244 memory: 8198 grad_norm: 5.2770 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5840 loss: 1.5840 2022/08/03 01:38:10 - mmengine - INFO - Epoch(train) [75][1620/1879] lr: 1.0000e-02 eta: 1 day, 2:53:37 time: 0.3070 data_time: 0.0232 memory: 8198 grad_norm: 5.2236 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5822 loss: 1.5822 2022/08/03 01:38:15 - mmengine - INFO - Epoch(train) [75][1640/1879] lr: 1.0000e-02 eta: 1 day, 2:53:31 time: 0.2796 data_time: 0.0223 memory: 8198 grad_norm: 5.2756 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8076 loss: 1.8076 2022/08/03 01:38:21 - mmengine - INFO - Epoch(train) [75][1660/1879] lr: 1.0000e-02 eta: 1 day, 2:53:26 time: 0.2887 data_time: 0.0274 memory: 8198 grad_norm: 5.2686 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8089 loss: 1.8089 2022/08/03 01:38:27 - mmengine - INFO - Epoch(train) [75][1680/1879] lr: 1.0000e-02 eta: 1 day, 2:53:20 time: 0.2782 data_time: 0.0180 memory: 8198 grad_norm: 5.1275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4835 loss: 1.4835 2022/08/03 01:38:33 - mmengine - INFO - Epoch(train) [75][1700/1879] lr: 1.0000e-02 eta: 1 day, 2:53:15 time: 0.2941 data_time: 0.0301 memory: 8198 grad_norm: 5.4030 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9548 loss: 1.9548 2022/08/03 01:38:38 - mmengine - INFO - Epoch(train) [75][1720/1879] lr: 1.0000e-02 eta: 1 day, 2:53:09 time: 0.2857 data_time: 0.0260 memory: 8198 grad_norm: 5.4472 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/08/03 01:38:44 - mmengine - INFO - Epoch(train) [75][1740/1879] lr: 1.0000e-02 eta: 1 day, 2:53:03 time: 0.2867 data_time: 0.0220 memory: 8198 grad_norm: 5.3044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6574 loss: 1.6574 2022/08/03 01:38:50 - mmengine - INFO - Epoch(train) [75][1760/1879] lr: 1.0000e-02 eta: 1 day, 2:52:58 time: 0.2878 data_time: 0.0228 memory: 8198 grad_norm: 5.3320 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6707 loss: 1.6707 2022/08/03 01:38:55 - mmengine - INFO - Epoch(train) [75][1780/1879] lr: 1.0000e-02 eta: 1 day, 2:52:52 time: 0.2806 data_time: 0.0230 memory: 8198 grad_norm: 5.2622 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6673 loss: 1.6673 2022/08/03 01:39:01 - mmengine - INFO - Epoch(train) [75][1800/1879] lr: 1.0000e-02 eta: 1 day, 2:52:46 time: 0.2869 data_time: 0.0245 memory: 8198 grad_norm: 5.3443 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4932 loss: 1.4932 2022/08/03 01:39:07 - mmengine - INFO - Epoch(train) [75][1820/1879] lr: 1.0000e-02 eta: 1 day, 2:52:41 time: 0.2851 data_time: 0.0269 memory: 8198 grad_norm: 5.3176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6452 loss: 1.6452 2022/08/03 01:39:13 - mmengine - INFO - Epoch(train) [75][1840/1879] lr: 1.0000e-02 eta: 1 day, 2:52:35 time: 0.2832 data_time: 0.0297 memory: 8198 grad_norm: 5.2536 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/08/03 01:39:20 - mmengine - INFO - Epoch(train) [75][1860/1879] lr: 1.0000e-02 eta: 1 day, 2:52:33 time: 0.3564 data_time: 0.0256 memory: 8198 grad_norm: 5.1851 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5625 loss: 1.5625 2022/08/03 01:39:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:39:24 - mmengine - INFO - Epoch(train) [75][1879/1879] lr: 1.0000e-02 eta: 1 day, 2:52:33 time: 0.2609 data_time: 0.0117 memory: 8198 grad_norm: 5.3414 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.6572 loss: 1.6572 2022/08/03 01:39:31 - mmengine - INFO - Epoch(val) [75][20/155] eta: 0:00:44 time: 0.3270 data_time: 0.2373 memory: 1514 2022/08/03 01:39:36 - mmengine - INFO - Epoch(val) [75][40/155] eta: 0:00:26 time: 0.2307 data_time: 0.1422 memory: 1514 2022/08/03 01:39:42 - mmengine - INFO - Epoch(val) [75][60/155] eta: 0:00:31 time: 0.3267 data_time: 0.1802 memory: 1514 2022/08/03 01:39:47 - mmengine - INFO - Epoch(val) [75][80/155] eta: 0:00:17 time: 0.2289 data_time: 0.1405 memory: 1514 2022/08/03 01:39:53 - mmengine - INFO - Epoch(val) [75][100/155] eta: 0:00:17 time: 0.3167 data_time: 0.2287 memory: 1514 2022/08/03 01:39:58 - mmengine - INFO - Epoch(val) [75][120/155] eta: 0:00:08 time: 0.2435 data_time: 0.1571 memory: 1514 2022/08/03 01:40:04 - mmengine - INFO - Epoch(val) [75][140/155] eta: 0:00:04 time: 0.2814 data_time: 0.1956 memory: 1514 2022/08/03 01:40:09 - mmengine - INFO - Epoch(val) [75][155/155] acc/top1: 0.6326 acc/top5: 0.8477 acc/mean1: 0.6325 2022/08/03 01:40:18 - mmengine - INFO - Epoch(train) [76][20/1879] lr: 1.0000e-02 eta: 1 day, 2:52:15 time: 0.4180 data_time: 0.1059 memory: 8198 grad_norm: 5.1358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7020 loss: 1.7020 2022/08/03 01:40:24 - mmengine - INFO - Epoch(train) [76][40/1879] lr: 1.0000e-02 eta: 1 day, 2:52:10 time: 0.2945 data_time: 0.0317 memory: 8198 grad_norm: 5.2659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5911 loss: 1.5911 2022/08/03 01:40:35 - mmengine - INFO - Epoch(train) [76][60/1879] lr: 1.0000e-02 eta: 1 day, 2:52:17 time: 0.5584 data_time: 0.0237 memory: 8198 grad_norm: 5.2121 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4855 loss: 1.4855 2022/08/03 01:40:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:40:42 - mmengine - INFO - Epoch(train) [76][80/1879] lr: 1.0000e-02 eta: 1 day, 2:52:15 time: 0.3595 data_time: 0.0692 memory: 8198 grad_norm: 5.2391 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7286 loss: 1.7286 2022/08/03 01:40:48 - mmengine - INFO - Epoch(train) [76][100/1879] lr: 1.0000e-02 eta: 1 day, 2:52:10 time: 0.2801 data_time: 0.0236 memory: 8198 grad_norm: 5.2716 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6773 loss: 1.6773 2022/08/03 01:40:53 - mmengine - INFO - Epoch(train) [76][120/1879] lr: 1.0000e-02 eta: 1 day, 2:52:04 time: 0.2841 data_time: 0.0220 memory: 8198 grad_norm: 5.3049 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8425 loss: 1.8425 2022/08/03 01:40:59 - mmengine - INFO - Epoch(train) [76][140/1879] lr: 1.0000e-02 eta: 1 day, 2:51:59 time: 0.3054 data_time: 0.0229 memory: 8198 grad_norm: 5.2442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6299 loss: 1.6299 2022/08/03 01:41:05 - mmengine - INFO - Epoch(train) [76][160/1879] lr: 1.0000e-02 eta: 1 day, 2:51:53 time: 0.2837 data_time: 0.0239 memory: 8198 grad_norm: 5.1568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5882 loss: 1.5882 2022/08/03 01:41:11 - mmengine - INFO - Epoch(train) [76][180/1879] lr: 1.0000e-02 eta: 1 day, 2:51:48 time: 0.2826 data_time: 0.0203 memory: 8198 grad_norm: 5.3389 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6801 loss: 1.6801 2022/08/03 01:41:17 - mmengine - INFO - Epoch(train) [76][200/1879] lr: 1.0000e-02 eta: 1 day, 2:51:42 time: 0.2899 data_time: 0.0323 memory: 8198 grad_norm: 5.3165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8140 loss: 1.8140 2022/08/03 01:41:23 - mmengine - INFO - Epoch(train) [76][220/1879] lr: 1.0000e-02 eta: 1 day, 2:51:38 time: 0.3066 data_time: 0.0221 memory: 8198 grad_norm: 5.1195 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5529 loss: 1.5529 2022/08/03 01:41:31 - mmengine - INFO - Epoch(train) [76][240/1879] lr: 1.0000e-02 eta: 1 day, 2:51:38 time: 0.4151 data_time: 0.0257 memory: 8198 grad_norm: 5.2450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7784 loss: 1.7784 2022/08/03 01:41:37 - mmengine - INFO - Epoch(train) [76][260/1879] lr: 1.0000e-02 eta: 1 day, 2:51:32 time: 0.2813 data_time: 0.0224 memory: 8198 grad_norm: 5.3005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7630 loss: 1.7630 2022/08/03 01:41:42 - mmengine - INFO - Epoch(train) [76][280/1879] lr: 1.0000e-02 eta: 1 day, 2:51:27 time: 0.2911 data_time: 0.0244 memory: 8198 grad_norm: 5.1528 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6019 loss: 1.6019 2022/08/03 01:41:48 - mmengine - INFO - Epoch(train) [76][300/1879] lr: 1.0000e-02 eta: 1 day, 2:51:21 time: 0.2833 data_time: 0.0199 memory: 8198 grad_norm: 5.2550 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4525 loss: 1.4525 2022/08/03 01:41:54 - mmengine - INFO - Epoch(train) [76][320/1879] lr: 1.0000e-02 eta: 1 day, 2:51:16 time: 0.2861 data_time: 0.0282 memory: 8198 grad_norm: 5.4777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6801 loss: 1.6801 2022/08/03 01:42:00 - mmengine - INFO - Epoch(train) [76][340/1879] lr: 1.0000e-02 eta: 1 day, 2:51:10 time: 0.2874 data_time: 0.0203 memory: 8198 grad_norm: 5.3835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7308 loss: 1.7308 2022/08/03 01:42:06 - mmengine - INFO - Epoch(train) [76][360/1879] lr: 1.0000e-02 eta: 1 day, 2:51:06 time: 0.3091 data_time: 0.0347 memory: 8198 grad_norm: 5.3390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7631 loss: 1.7631 2022/08/03 01:42:14 - mmengine - INFO - Epoch(train) [76][380/1879] lr: 1.0000e-02 eta: 1 day, 2:51:05 time: 0.3955 data_time: 0.0199 memory: 8198 grad_norm: 5.3202 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7924 loss: 1.7924 2022/08/03 01:42:20 - mmengine - INFO - Epoch(train) [76][400/1879] lr: 1.0000e-02 eta: 1 day, 2:51:00 time: 0.3046 data_time: 0.0291 memory: 8198 grad_norm: 5.2139 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5959 loss: 1.5959 2022/08/03 01:42:26 - mmengine - INFO - Epoch(train) [76][420/1879] lr: 1.0000e-02 eta: 1 day, 2:50:55 time: 0.2820 data_time: 0.0233 memory: 8198 grad_norm: 5.3692 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5964 loss: 1.5964 2022/08/03 01:42:31 - mmengine - INFO - Epoch(train) [76][440/1879] lr: 1.0000e-02 eta: 1 day, 2:50:49 time: 0.2893 data_time: 0.0226 memory: 8198 grad_norm: 5.2733 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6354 loss: 1.6354 2022/08/03 01:42:37 - mmengine - INFO - Epoch(train) [76][460/1879] lr: 1.0000e-02 eta: 1 day, 2:50:43 time: 0.2818 data_time: 0.0202 memory: 8198 grad_norm: 5.1537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6737 loss: 1.6737 2022/08/03 01:42:43 - mmengine - INFO - Epoch(train) [76][480/1879] lr: 1.0000e-02 eta: 1 day, 2:50:38 time: 0.2838 data_time: 0.0262 memory: 8198 grad_norm: 5.2825 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6636 loss: 1.6636 2022/08/03 01:42:49 - mmengine - INFO - Epoch(train) [76][500/1879] lr: 1.0000e-02 eta: 1 day, 2:50:33 time: 0.3106 data_time: 0.0233 memory: 8198 grad_norm: 5.2586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7477 loss: 1.7477 2022/08/03 01:42:55 - mmengine - INFO - Epoch(train) [76][520/1879] lr: 1.0000e-02 eta: 1 day, 2:50:29 time: 0.3075 data_time: 0.0239 memory: 8198 grad_norm: 5.3853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5979 loss: 1.5979 2022/08/03 01:43:01 - mmengine - INFO - Epoch(train) [76][540/1879] lr: 1.0000e-02 eta: 1 day, 2:50:23 time: 0.2775 data_time: 0.0189 memory: 8198 grad_norm: 5.2548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9719 loss: 1.9719 2022/08/03 01:43:06 - mmengine - INFO - Epoch(train) [76][560/1879] lr: 1.0000e-02 eta: 1 day, 2:50:17 time: 0.2831 data_time: 0.0242 memory: 8198 grad_norm: 5.3914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/08/03 01:43:14 - mmengine - INFO - Epoch(train) [76][580/1879] lr: 1.0000e-02 eta: 1 day, 2:50:15 time: 0.3593 data_time: 0.0186 memory: 8198 grad_norm: 5.1993 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5012 loss: 1.5012 2022/08/03 01:43:19 - mmengine - INFO - Epoch(train) [76][600/1879] lr: 1.0000e-02 eta: 1 day, 2:50:09 time: 0.2822 data_time: 0.0252 memory: 8198 grad_norm: 5.2465 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5318 loss: 1.5318 2022/08/03 01:43:25 - mmengine - INFO - Epoch(train) [76][620/1879] lr: 1.0000e-02 eta: 1 day, 2:50:04 time: 0.2915 data_time: 0.0213 memory: 8198 grad_norm: 5.2327 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6752 loss: 1.6752 2022/08/03 01:43:31 - mmengine - INFO - Epoch(train) [76][640/1879] lr: 1.0000e-02 eta: 1 day, 2:49:58 time: 0.2798 data_time: 0.0188 memory: 8198 grad_norm: 5.1710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7055 loss: 1.7055 2022/08/03 01:43:36 - mmengine - INFO - Epoch(train) [76][660/1879] lr: 1.0000e-02 eta: 1 day, 2:49:52 time: 0.2830 data_time: 0.0272 memory: 8198 grad_norm: 5.1706 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7595 loss: 1.7595 2022/08/03 01:43:42 - mmengine - INFO - Epoch(train) [76][680/1879] lr: 1.0000e-02 eta: 1 day, 2:49:47 time: 0.3055 data_time: 0.0331 memory: 8198 grad_norm: 5.3574 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7412 loss: 1.7412 2022/08/03 01:43:48 - mmengine - INFO - Epoch(train) [76][700/1879] lr: 1.0000e-02 eta: 1 day, 2:49:41 time: 0.2836 data_time: 0.0209 memory: 8198 grad_norm: 5.3407 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6303 loss: 1.6303 2022/08/03 01:43:54 - mmengine - INFO - Epoch(train) [76][720/1879] lr: 1.0000e-02 eta: 1 day, 2:49:36 time: 0.2892 data_time: 0.0314 memory: 8198 grad_norm: 5.1815 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4235 loss: 1.4235 2022/08/03 01:44:00 - mmengine - INFO - Epoch(train) [76][740/1879] lr: 1.0000e-02 eta: 1 day, 2:49:30 time: 0.2875 data_time: 0.0182 memory: 8198 grad_norm: 5.2838 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6716 loss: 1.6716 2022/08/03 01:44:05 - mmengine - INFO - Epoch(train) [76][760/1879] lr: 1.0000e-02 eta: 1 day, 2:49:24 time: 0.2801 data_time: 0.0221 memory: 8198 grad_norm: 5.1463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7356 loss: 1.7356 2022/08/03 01:44:11 - mmengine - INFO - Epoch(train) [76][780/1879] lr: 1.0000e-02 eta: 1 day, 2:49:19 time: 0.2848 data_time: 0.0199 memory: 8198 grad_norm: 5.2054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7841 loss: 1.7841 2022/08/03 01:44:17 - mmengine - INFO - Epoch(train) [76][800/1879] lr: 1.0000e-02 eta: 1 day, 2:49:13 time: 0.2830 data_time: 0.0253 memory: 8198 grad_norm: 5.2421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7081 loss: 1.7081 2022/08/03 01:44:22 - mmengine - INFO - Epoch(train) [76][820/1879] lr: 1.0000e-02 eta: 1 day, 2:49:08 time: 0.2897 data_time: 0.0230 memory: 8198 grad_norm: 5.2674 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5845 loss: 1.5845 2022/08/03 01:44:28 - mmengine - INFO - Epoch(train) [76][840/1879] lr: 1.0000e-02 eta: 1 day, 2:49:02 time: 0.2844 data_time: 0.0211 memory: 8198 grad_norm: 5.3138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6407 loss: 1.6407 2022/08/03 01:44:34 - mmengine - INFO - Epoch(train) [76][860/1879] lr: 1.0000e-02 eta: 1 day, 2:48:56 time: 0.2812 data_time: 0.0225 memory: 8198 grad_norm: 5.2636 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7413 loss: 1.7413 2022/08/03 01:44:40 - mmengine - INFO - Epoch(train) [76][880/1879] lr: 1.0000e-02 eta: 1 day, 2:48:51 time: 0.2901 data_time: 0.0268 memory: 8198 grad_norm: 5.1319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4710 loss: 1.4710 2022/08/03 01:44:45 - mmengine - INFO - Epoch(train) [76][900/1879] lr: 1.0000e-02 eta: 1 day, 2:48:45 time: 0.2831 data_time: 0.0299 memory: 8198 grad_norm: 5.0880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5904 loss: 1.5904 2022/08/03 01:44:51 - mmengine - INFO - Epoch(train) [76][920/1879] lr: 1.0000e-02 eta: 1 day, 2:48:40 time: 0.3007 data_time: 0.0270 memory: 8198 grad_norm: 5.4280 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4624 loss: 1.4624 2022/08/03 01:44:57 - mmengine - INFO - Epoch(train) [76][940/1879] lr: 1.0000e-02 eta: 1 day, 2:48:34 time: 0.2847 data_time: 0.0260 memory: 8198 grad_norm: 5.3015 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6135 loss: 1.6135 2022/08/03 01:45:03 - mmengine - INFO - Epoch(train) [76][960/1879] lr: 1.0000e-02 eta: 1 day, 2:48:29 time: 0.2908 data_time: 0.0373 memory: 8198 grad_norm: 5.2172 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8271 loss: 1.8271 2022/08/03 01:45:09 - mmengine - INFO - Epoch(train) [76][980/1879] lr: 1.0000e-02 eta: 1 day, 2:48:24 time: 0.3122 data_time: 0.0233 memory: 8198 grad_norm: 5.2302 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7402 loss: 1.7402 2022/08/03 01:45:15 - mmengine - INFO - Epoch(train) [76][1000/1879] lr: 1.0000e-02 eta: 1 day, 2:48:18 time: 0.2775 data_time: 0.0243 memory: 8198 grad_norm: 5.3018 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7641 loss: 1.7641 2022/08/03 01:45:20 - mmengine - INFO - Epoch(train) [76][1020/1879] lr: 1.0000e-02 eta: 1 day, 2:48:13 time: 0.2831 data_time: 0.0278 memory: 8198 grad_norm: 5.2810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5123 loss: 1.5123 2022/08/03 01:45:26 - mmengine - INFO - Epoch(train) [76][1040/1879] lr: 1.0000e-02 eta: 1 day, 2:48:07 time: 0.2841 data_time: 0.0265 memory: 8198 grad_norm: 5.3423 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6214 loss: 1.6214 2022/08/03 01:45:32 - mmengine - INFO - Epoch(train) [76][1060/1879] lr: 1.0000e-02 eta: 1 day, 2:48:02 time: 0.2930 data_time: 0.0253 memory: 8198 grad_norm: 5.5237 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7477 loss: 1.7477 2022/08/03 01:45:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:45:38 - mmengine - INFO - Epoch(train) [76][1080/1879] lr: 1.0000e-02 eta: 1 day, 2:47:56 time: 0.2820 data_time: 0.0235 memory: 8198 grad_norm: 5.3720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6276 loss: 1.6276 2022/08/03 01:45:43 - mmengine - INFO - Epoch(train) [76][1100/1879] lr: 1.0000e-02 eta: 1 day, 2:47:50 time: 0.2833 data_time: 0.0217 memory: 8198 grad_norm: 5.3021 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4840 loss: 1.4840 2022/08/03 01:45:50 - mmengine - INFO - Epoch(train) [76][1120/1879] lr: 1.0000e-02 eta: 1 day, 2:47:46 time: 0.3135 data_time: 0.0260 memory: 8198 grad_norm: 5.3127 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8136 loss: 1.8136 2022/08/03 01:45:55 - mmengine - INFO - Epoch(train) [76][1140/1879] lr: 1.0000e-02 eta: 1 day, 2:47:40 time: 0.2764 data_time: 0.0188 memory: 8198 grad_norm: 5.3232 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5918 loss: 1.5918 2022/08/03 01:46:01 - mmengine - INFO - Epoch(train) [76][1160/1879] lr: 1.0000e-02 eta: 1 day, 2:47:34 time: 0.2833 data_time: 0.0226 memory: 8198 grad_norm: 5.2137 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5439 loss: 1.5439 2022/08/03 01:46:06 - mmengine - INFO - Epoch(train) [76][1180/1879] lr: 1.0000e-02 eta: 1 day, 2:47:28 time: 0.2846 data_time: 0.0202 memory: 8198 grad_norm: 5.3075 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6797 loss: 1.6797 2022/08/03 01:46:12 - mmengine - INFO - Epoch(train) [76][1200/1879] lr: 1.0000e-02 eta: 1 day, 2:47:23 time: 0.2873 data_time: 0.0270 memory: 8198 grad_norm: 5.4699 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5837 loss: 1.5837 2022/08/03 01:46:18 - mmengine - INFO - Epoch(train) [76][1220/1879] lr: 1.0000e-02 eta: 1 day, 2:47:17 time: 0.2828 data_time: 0.0221 memory: 8198 grad_norm: 5.4045 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6043 loss: 1.6043 2022/08/03 01:46:24 - mmengine - INFO - Epoch(train) [76][1240/1879] lr: 1.0000e-02 eta: 1 day, 2:47:11 time: 0.2828 data_time: 0.0246 memory: 8198 grad_norm: 5.2562 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7868 loss: 1.7868 2022/08/03 01:46:29 - mmengine - INFO - Epoch(train) [76][1260/1879] lr: 1.0000e-02 eta: 1 day, 2:47:05 time: 0.2844 data_time: 0.0226 memory: 8198 grad_norm: 5.3257 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7401 loss: 1.7401 2022/08/03 01:46:35 - mmengine - INFO - Epoch(train) [76][1280/1879] lr: 1.0000e-02 eta: 1 day, 2:47:00 time: 0.2803 data_time: 0.0254 memory: 8198 grad_norm: 5.2961 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7393 loss: 1.7393 2022/08/03 01:46:41 - mmengine - INFO - Epoch(train) [76][1300/1879] lr: 1.0000e-02 eta: 1 day, 2:46:54 time: 0.2806 data_time: 0.0230 memory: 8198 grad_norm: 5.2698 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6983 loss: 1.6983 2022/08/03 01:46:46 - mmengine - INFO - Epoch(train) [76][1320/1879] lr: 1.0000e-02 eta: 1 day, 2:46:48 time: 0.2834 data_time: 0.0245 memory: 8198 grad_norm: 5.2723 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7895 loss: 1.7895 2022/08/03 01:46:52 - mmengine - INFO - Epoch(train) [76][1340/1879] lr: 1.0000e-02 eta: 1 day, 2:46:42 time: 0.2856 data_time: 0.0257 memory: 8198 grad_norm: 5.3667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4658 loss: 1.4658 2022/08/03 01:46:58 - mmengine - INFO - Epoch(train) [76][1360/1879] lr: 1.0000e-02 eta: 1 day, 2:46:36 time: 0.2784 data_time: 0.0257 memory: 8198 grad_norm: 5.3558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7119 loss: 1.7119 2022/08/03 01:47:03 - mmengine - INFO - Epoch(train) [76][1380/1879] lr: 1.0000e-02 eta: 1 day, 2:46:31 time: 0.2837 data_time: 0.0216 memory: 8198 grad_norm: 5.1919 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5657 loss: 1.5657 2022/08/03 01:47:09 - mmengine - INFO - Epoch(train) [76][1400/1879] lr: 1.0000e-02 eta: 1 day, 2:46:25 time: 0.2878 data_time: 0.0248 memory: 8198 grad_norm: 5.2900 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5865 loss: 1.5865 2022/08/03 01:47:15 - mmengine - INFO - Epoch(train) [76][1420/1879] lr: 1.0000e-02 eta: 1 day, 2:46:19 time: 0.2823 data_time: 0.0263 memory: 8198 grad_norm: 5.3403 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7358 loss: 1.7358 2022/08/03 01:47:20 - mmengine - INFO - Epoch(train) [76][1440/1879] lr: 1.0000e-02 eta: 1 day, 2:46:13 time: 0.2830 data_time: 0.0255 memory: 8198 grad_norm: 5.4002 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6008 loss: 1.6008 2022/08/03 01:47:26 - mmengine - INFO - Epoch(train) [76][1460/1879] lr: 1.0000e-02 eta: 1 day, 2:46:08 time: 0.2843 data_time: 0.0188 memory: 8198 grad_norm: 5.4197 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5155 loss: 1.5155 2022/08/03 01:47:32 - mmengine - INFO - Epoch(train) [76][1480/1879] lr: 1.0000e-02 eta: 1 day, 2:46:03 time: 0.2982 data_time: 0.0258 memory: 8198 grad_norm: 5.1957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5359 loss: 1.5359 2022/08/03 01:47:38 - mmengine - INFO - Epoch(train) [76][1500/1879] lr: 1.0000e-02 eta: 1 day, 2:45:57 time: 0.2839 data_time: 0.0197 memory: 8198 grad_norm: 5.2584 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7798 loss: 1.7798 2022/08/03 01:47:43 - mmengine - INFO - Epoch(train) [76][1520/1879] lr: 1.0000e-02 eta: 1 day, 2:45:51 time: 0.2857 data_time: 0.0269 memory: 8198 grad_norm: 5.2654 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9171 loss: 1.9171 2022/08/03 01:47:49 - mmengine - INFO - Epoch(train) [76][1540/1879] lr: 1.0000e-02 eta: 1 day, 2:45:46 time: 0.2851 data_time: 0.0205 memory: 8198 grad_norm: 5.2435 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6523 loss: 1.6523 2022/08/03 01:47:55 - mmengine - INFO - Epoch(train) [76][1560/1879] lr: 1.0000e-02 eta: 1 day, 2:45:40 time: 0.2810 data_time: 0.0224 memory: 8198 grad_norm: 5.4051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6625 loss: 1.6625 2022/08/03 01:48:01 - mmengine - INFO - Epoch(train) [76][1580/1879] lr: 1.0000e-02 eta: 1 day, 2:45:35 time: 0.2921 data_time: 0.0243 memory: 8198 grad_norm: 5.2327 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5617 loss: 1.5617 2022/08/03 01:48:06 - mmengine - INFO - Epoch(train) [76][1600/1879] lr: 1.0000e-02 eta: 1 day, 2:45:29 time: 0.2833 data_time: 0.0226 memory: 8198 grad_norm: 5.3814 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7233 loss: 1.7233 2022/08/03 01:48:12 - mmengine - INFO - Epoch(train) [76][1620/1879] lr: 1.0000e-02 eta: 1 day, 2:45:23 time: 0.2843 data_time: 0.0226 memory: 8198 grad_norm: 5.3830 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6139 loss: 1.6139 2022/08/03 01:48:18 - mmengine - INFO - Epoch(train) [76][1640/1879] lr: 1.0000e-02 eta: 1 day, 2:45:17 time: 0.2831 data_time: 0.0253 memory: 8198 grad_norm: 5.2210 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5190 loss: 1.5190 2022/08/03 01:48:23 - mmengine - INFO - Epoch(train) [76][1660/1879] lr: 1.0000e-02 eta: 1 day, 2:45:12 time: 0.2893 data_time: 0.0217 memory: 8198 grad_norm: 5.3436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7114 loss: 1.7114 2022/08/03 01:48:29 - mmengine - INFO - Epoch(train) [76][1680/1879] lr: 1.0000e-02 eta: 1 day, 2:45:07 time: 0.2983 data_time: 0.0242 memory: 8198 grad_norm: 5.4256 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9648 loss: 1.9648 2022/08/03 01:48:35 - mmengine - INFO - Epoch(train) [76][1700/1879] lr: 1.0000e-02 eta: 1 day, 2:45:01 time: 0.2824 data_time: 0.0225 memory: 8198 grad_norm: 5.2258 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6679 loss: 1.6679 2022/08/03 01:48:41 - mmengine - INFO - Epoch(train) [76][1720/1879] lr: 1.0000e-02 eta: 1 day, 2:44:55 time: 0.2849 data_time: 0.0244 memory: 8198 grad_norm: 5.1583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6535 loss: 1.6535 2022/08/03 01:48:46 - mmengine - INFO - Epoch(train) [76][1740/1879] lr: 1.0000e-02 eta: 1 day, 2:44:49 time: 0.2808 data_time: 0.0194 memory: 8198 grad_norm: 5.2889 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7438 loss: 1.7438 2022/08/03 01:48:52 - mmengine - INFO - Epoch(train) [76][1760/1879] lr: 1.0000e-02 eta: 1 day, 2:44:44 time: 0.2948 data_time: 0.0255 memory: 8198 grad_norm: 5.4521 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/08/03 01:48:58 - mmengine - INFO - Epoch(train) [76][1780/1879] lr: 1.0000e-02 eta: 1 day, 2:44:38 time: 0.2801 data_time: 0.0216 memory: 8198 grad_norm: 5.3445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8120 loss: 1.8120 2022/08/03 01:49:04 - mmengine - INFO - Epoch(train) [76][1800/1879] lr: 1.0000e-02 eta: 1 day, 2:44:33 time: 0.2856 data_time: 0.0263 memory: 8198 grad_norm: 5.3613 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8907 loss: 1.8907 2022/08/03 01:49:10 - mmengine - INFO - Epoch(train) [76][1820/1879] lr: 1.0000e-02 eta: 1 day, 2:44:28 time: 0.2970 data_time: 0.0237 memory: 8198 grad_norm: 5.3308 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7974 loss: 1.7974 2022/08/03 01:49:15 - mmengine - INFO - Epoch(train) [76][1840/1879] lr: 1.0000e-02 eta: 1 day, 2:44:22 time: 0.2800 data_time: 0.0205 memory: 8198 grad_norm: 5.2485 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7796 loss: 1.7796 2022/08/03 01:49:21 - mmengine - INFO - Epoch(train) [76][1860/1879] lr: 1.0000e-02 eta: 1 day, 2:44:16 time: 0.2801 data_time: 0.0206 memory: 8198 grad_norm: 5.1909 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7011 loss: 1.7011 2022/08/03 01:49:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:49:26 - mmengine - INFO - Epoch(train) [76][1879/1879] lr: 1.0000e-02 eta: 1 day, 2:44:16 time: 0.2567 data_time: 0.0167 memory: 8198 grad_norm: 5.4490 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.8280 loss: 1.8280 2022/08/03 01:49:26 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/08/03 01:49:36 - mmengine - INFO - Epoch(train) [77][20/1879] lr: 1.0000e-02 eta: 1 day, 2:43:56 time: 0.3630 data_time: 0.1035 memory: 8198 grad_norm: 5.2706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7635 loss: 1.7635 2022/08/03 01:49:42 - mmengine - INFO - Epoch(train) [77][40/1879] lr: 1.0000e-02 eta: 1 day, 2:43:50 time: 0.2843 data_time: 0.0190 memory: 8198 grad_norm: 5.3432 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7953 loss: 1.7953 2022/08/03 01:49:47 - mmengine - INFO - Epoch(train) [77][60/1879] lr: 1.0000e-02 eta: 1 day, 2:43:44 time: 0.2872 data_time: 0.0221 memory: 8198 grad_norm: 5.4116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6231 loss: 1.6231 2022/08/03 01:49:53 - mmengine - INFO - Epoch(train) [77][80/1879] lr: 1.0000e-02 eta: 1 day, 2:43:38 time: 0.2798 data_time: 0.0236 memory: 8198 grad_norm: 5.2316 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7178 loss: 1.7178 2022/08/03 01:49:59 - mmengine - INFO - Epoch(train) [77][100/1879] lr: 1.0000e-02 eta: 1 day, 2:43:33 time: 0.2854 data_time: 0.0253 memory: 8198 grad_norm: 5.3012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7228 loss: 1.7228 2022/08/03 01:50:04 - mmengine - INFO - Epoch(train) [77][120/1879] lr: 1.0000e-02 eta: 1 day, 2:43:27 time: 0.2853 data_time: 0.0215 memory: 8198 grad_norm: 5.3515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5553 loss: 1.5553 2022/08/03 01:50:10 - mmengine - INFO - Epoch(train) [77][140/1879] lr: 1.0000e-02 eta: 1 day, 2:43:21 time: 0.2810 data_time: 0.0230 memory: 8198 grad_norm: 5.3478 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6401 loss: 1.6401 2022/08/03 01:50:16 - mmengine - INFO - Epoch(train) [77][160/1879] lr: 1.0000e-02 eta: 1 day, 2:43:15 time: 0.2827 data_time: 0.0258 memory: 8198 grad_norm: 5.3592 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9148 loss: 1.9148 2022/08/03 01:50:21 - mmengine - INFO - Epoch(train) [77][180/1879] lr: 1.0000e-02 eta: 1 day, 2:43:10 time: 0.2843 data_time: 0.0209 memory: 8198 grad_norm: 5.2950 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6378 loss: 1.6378 2022/08/03 01:50:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:50:27 - mmengine - INFO - Epoch(train) [77][200/1879] lr: 1.0000e-02 eta: 1 day, 2:43:04 time: 0.2863 data_time: 0.0255 memory: 8198 grad_norm: 5.2306 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6171 loss: 1.6171 2022/08/03 01:50:33 - mmengine - INFO - Epoch(train) [77][220/1879] lr: 1.0000e-02 eta: 1 day, 2:42:58 time: 0.2849 data_time: 0.0290 memory: 8198 grad_norm: 5.2346 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6582 loss: 1.6582 2022/08/03 01:50:39 - mmengine - INFO - Epoch(train) [77][240/1879] lr: 1.0000e-02 eta: 1 day, 2:42:53 time: 0.2851 data_time: 0.0255 memory: 8198 grad_norm: 5.2597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5151 loss: 1.5151 2022/08/03 01:50:44 - mmengine - INFO - Epoch(train) [77][260/1879] lr: 1.0000e-02 eta: 1 day, 2:42:47 time: 0.2851 data_time: 0.0237 memory: 8198 grad_norm: 5.2658 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5964 loss: 1.5964 2022/08/03 01:50:50 - mmengine - INFO - Epoch(train) [77][280/1879] lr: 1.0000e-02 eta: 1 day, 2:42:41 time: 0.2829 data_time: 0.0250 memory: 8198 grad_norm: 5.3750 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7713 loss: 1.7713 2022/08/03 01:50:56 - mmengine - INFO - Epoch(train) [77][300/1879] lr: 1.0000e-02 eta: 1 day, 2:42:36 time: 0.2828 data_time: 0.0230 memory: 8198 grad_norm: 5.1934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5737 loss: 1.5737 2022/08/03 01:51:01 - mmengine - INFO - Epoch(train) [77][320/1879] lr: 1.0000e-02 eta: 1 day, 2:42:30 time: 0.2847 data_time: 0.0195 memory: 8198 grad_norm: 5.1369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6085 loss: 1.6085 2022/08/03 01:51:07 - mmengine - INFO - Epoch(train) [77][340/1879] lr: 1.0000e-02 eta: 1 day, 2:42:24 time: 0.2871 data_time: 0.0270 memory: 8198 grad_norm: 5.3004 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6146 loss: 1.6146 2022/08/03 01:51:13 - mmengine - INFO - Epoch(train) [77][360/1879] lr: 1.0000e-02 eta: 1 day, 2:42:19 time: 0.3001 data_time: 0.0213 memory: 8198 grad_norm: 5.3069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5855 loss: 1.5855 2022/08/03 01:51:19 - mmengine - INFO - Epoch(train) [77][380/1879] lr: 1.0000e-02 eta: 1 day, 2:42:14 time: 0.2829 data_time: 0.0219 memory: 8198 grad_norm: 5.2707 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5183 loss: 1.5183 2022/08/03 01:51:25 - mmengine - INFO - Epoch(train) [77][400/1879] lr: 1.0000e-02 eta: 1 day, 2:42:08 time: 0.2883 data_time: 0.0296 memory: 8198 grad_norm: 5.2649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6651 loss: 1.6651 2022/08/03 01:51:30 - mmengine - INFO - Epoch(train) [77][420/1879] lr: 1.0000e-02 eta: 1 day, 2:42:03 time: 0.2877 data_time: 0.0220 memory: 8198 grad_norm: 5.3789 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6010 loss: 1.6010 2022/08/03 01:51:36 - mmengine - INFO - Epoch(train) [77][440/1879] lr: 1.0000e-02 eta: 1 day, 2:41:57 time: 0.2823 data_time: 0.0221 memory: 8198 grad_norm: 5.4010 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6871 loss: 1.6871 2022/08/03 01:51:42 - mmengine - INFO - Epoch(train) [77][460/1879] lr: 1.0000e-02 eta: 1 day, 2:41:51 time: 0.2874 data_time: 0.0206 memory: 8198 grad_norm: 5.3489 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5828 loss: 1.5828 2022/08/03 01:51:47 - mmengine - INFO - Epoch(train) [77][480/1879] lr: 1.0000e-02 eta: 1 day, 2:41:45 time: 0.2842 data_time: 0.0216 memory: 8198 grad_norm: 5.2503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7392 loss: 1.7392 2022/08/03 01:51:54 - mmengine - INFO - Epoch(train) [77][500/1879] lr: 1.0000e-02 eta: 1 day, 2:41:41 time: 0.3027 data_time: 0.0220 memory: 8198 grad_norm: 5.3049 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5420 loss: 1.5420 2022/08/03 01:51:59 - mmengine - INFO - Epoch(train) [77][520/1879] lr: 1.0000e-02 eta: 1 day, 2:41:35 time: 0.2796 data_time: 0.0224 memory: 8198 grad_norm: 5.2890 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7250 loss: 1.7250 2022/08/03 01:52:05 - mmengine - INFO - Epoch(train) [77][540/1879] lr: 1.0000e-02 eta: 1 day, 2:41:30 time: 0.2946 data_time: 0.0350 memory: 8198 grad_norm: 5.3207 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7218 loss: 1.7218 2022/08/03 01:52:11 - mmengine - INFO - Epoch(train) [77][560/1879] lr: 1.0000e-02 eta: 1 day, 2:41:24 time: 0.2928 data_time: 0.0215 memory: 8198 grad_norm: 5.2320 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6171 loss: 1.6171 2022/08/03 01:52:17 - mmengine - INFO - Epoch(train) [77][580/1879] lr: 1.0000e-02 eta: 1 day, 2:41:18 time: 0.2833 data_time: 0.0233 memory: 8198 grad_norm: 5.3869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8261 loss: 1.8261 2022/08/03 01:52:22 - mmengine - INFO - Epoch(train) [77][600/1879] lr: 1.0000e-02 eta: 1 day, 2:41:13 time: 0.2800 data_time: 0.0258 memory: 8198 grad_norm: 5.3255 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8673 loss: 1.8673 2022/08/03 01:52:28 - mmengine - INFO - Epoch(train) [77][620/1879] lr: 1.0000e-02 eta: 1 day, 2:41:07 time: 0.2840 data_time: 0.0222 memory: 8198 grad_norm: 5.3870 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6592 loss: 1.6592 2022/08/03 01:52:34 - mmengine - INFO - Epoch(train) [77][640/1879] lr: 1.0000e-02 eta: 1 day, 2:41:02 time: 0.2992 data_time: 0.0248 memory: 8198 grad_norm: 5.3628 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6520 loss: 1.6520 2022/08/03 01:52:39 - mmengine - INFO - Epoch(train) [77][660/1879] lr: 1.0000e-02 eta: 1 day, 2:40:56 time: 0.2797 data_time: 0.0243 memory: 8198 grad_norm: 5.1759 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6155 loss: 1.6155 2022/08/03 01:52:45 - mmengine - INFO - Epoch(train) [77][680/1879] lr: 1.0000e-02 eta: 1 day, 2:40:50 time: 0.2878 data_time: 0.0277 memory: 8198 grad_norm: 5.1701 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6183 loss: 1.6183 2022/08/03 01:52:51 - mmengine - INFO - Epoch(train) [77][700/1879] lr: 1.0000e-02 eta: 1 day, 2:40:45 time: 0.2932 data_time: 0.0237 memory: 8198 grad_norm: 5.2374 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5909 loss: 1.5909 2022/08/03 01:52:57 - mmengine - INFO - Epoch(train) [77][720/1879] lr: 1.0000e-02 eta: 1 day, 2:40:39 time: 0.2805 data_time: 0.0237 memory: 8198 grad_norm: 5.6009 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9268 loss: 1.9268 2022/08/03 01:53:02 - mmengine - INFO - Epoch(train) [77][740/1879] lr: 1.0000e-02 eta: 1 day, 2:40:34 time: 0.2856 data_time: 0.0215 memory: 8198 grad_norm: 5.4103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6803 loss: 1.6803 2022/08/03 01:53:08 - mmengine - INFO - Epoch(train) [77][760/1879] lr: 1.0000e-02 eta: 1 day, 2:40:28 time: 0.2828 data_time: 0.0250 memory: 8198 grad_norm: 5.4485 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7161 loss: 1.7161 2022/08/03 01:53:14 - mmengine - INFO - Epoch(train) [77][780/1879] lr: 1.0000e-02 eta: 1 day, 2:40:22 time: 0.2891 data_time: 0.0229 memory: 8198 grad_norm: 5.1378 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6772 loss: 1.6772 2022/08/03 01:53:20 - mmengine - INFO - Epoch(train) [77][800/1879] lr: 1.0000e-02 eta: 1 day, 2:40:17 time: 0.2953 data_time: 0.0237 memory: 8198 grad_norm: 5.1075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7145 loss: 1.7145 2022/08/03 01:53:26 - mmengine - INFO - Epoch(train) [77][820/1879] lr: 1.0000e-02 eta: 1 day, 2:40:11 time: 0.2833 data_time: 0.0253 memory: 8198 grad_norm: 5.5323 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7507 loss: 1.7507 2022/08/03 01:53:31 - mmengine - INFO - Epoch(train) [77][840/1879] lr: 1.0000e-02 eta: 1 day, 2:40:06 time: 0.2964 data_time: 0.0266 memory: 8198 grad_norm: 5.4862 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6837 loss: 1.6837 2022/08/03 01:53:37 - mmengine - INFO - Epoch(train) [77][860/1879] lr: 1.0000e-02 eta: 1 day, 2:40:00 time: 0.2828 data_time: 0.0186 memory: 8198 grad_norm: 5.3047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6452 loss: 1.6452 2022/08/03 01:53:43 - mmengine - INFO - Epoch(train) [77][880/1879] lr: 1.0000e-02 eta: 1 day, 2:39:55 time: 0.2810 data_time: 0.0219 memory: 8198 grad_norm: 5.3675 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5530 loss: 1.5530 2022/08/03 01:53:49 - mmengine - INFO - Epoch(train) [77][900/1879] lr: 1.0000e-02 eta: 1 day, 2:39:49 time: 0.2882 data_time: 0.0256 memory: 8198 grad_norm: 5.4268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6951 loss: 1.6951 2022/08/03 01:53:54 - mmengine - INFO - Epoch(train) [77][920/1879] lr: 1.0000e-02 eta: 1 day, 2:39:44 time: 0.2870 data_time: 0.0279 memory: 8198 grad_norm: 5.2648 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6786 loss: 1.6786 2022/08/03 01:54:00 - mmengine - INFO - Epoch(train) [77][940/1879] lr: 1.0000e-02 eta: 1 day, 2:39:38 time: 0.2844 data_time: 0.0275 memory: 8198 grad_norm: 5.2330 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.5628 loss: 1.5628 2022/08/03 01:54:06 - mmengine - INFO - Epoch(train) [77][960/1879] lr: 1.0000e-02 eta: 1 day, 2:39:32 time: 0.2881 data_time: 0.0268 memory: 8198 grad_norm: 5.1790 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4930 loss: 1.4930 2022/08/03 01:54:11 - mmengine - INFO - Epoch(train) [77][980/1879] lr: 1.0000e-02 eta: 1 day, 2:39:26 time: 0.2810 data_time: 0.0216 memory: 8198 grad_norm: 5.2661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5457 loss: 1.5457 2022/08/03 01:54:17 - mmengine - INFO - Epoch(train) [77][1000/1879] lr: 1.0000e-02 eta: 1 day, 2:39:21 time: 0.2862 data_time: 0.0279 memory: 8198 grad_norm: 5.4649 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6331 loss: 1.6331 2022/08/03 01:54:23 - mmengine - INFO - Epoch(train) [77][1020/1879] lr: 1.0000e-02 eta: 1 day, 2:39:16 time: 0.2951 data_time: 0.0222 memory: 8198 grad_norm: 5.2970 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7789 loss: 1.7789 2022/08/03 01:54:29 - mmengine - INFO - Epoch(train) [77][1040/1879] lr: 1.0000e-02 eta: 1 day, 2:39:10 time: 0.2824 data_time: 0.0217 memory: 8198 grad_norm: 5.2188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3827 loss: 1.3827 2022/08/03 01:54:35 - mmengine - INFO - Epoch(train) [77][1060/1879] lr: 1.0000e-02 eta: 1 day, 2:39:04 time: 0.2871 data_time: 0.0266 memory: 8198 grad_norm: 5.3868 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5447 loss: 1.5447 2022/08/03 01:54:40 - mmengine - INFO - Epoch(train) [77][1080/1879] lr: 1.0000e-02 eta: 1 day, 2:38:59 time: 0.2918 data_time: 0.0241 memory: 8198 grad_norm: 5.3373 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6638 loss: 1.6638 2022/08/03 01:54:46 - mmengine - INFO - Epoch(train) [77][1100/1879] lr: 1.0000e-02 eta: 1 day, 2:38:53 time: 0.2795 data_time: 0.0212 memory: 8198 grad_norm: 5.4679 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7821 loss: 1.7821 2022/08/03 01:54:52 - mmengine - INFO - Epoch(train) [77][1120/1879] lr: 1.0000e-02 eta: 1 day, 2:38:47 time: 0.2834 data_time: 0.0255 memory: 8198 grad_norm: 5.1963 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6046 loss: 1.6046 2022/08/03 01:54:57 - mmengine - INFO - Epoch(train) [77][1140/1879] lr: 1.0000e-02 eta: 1 day, 2:38:41 time: 0.2815 data_time: 0.0239 memory: 8198 grad_norm: 5.2334 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6721 loss: 1.6721 2022/08/03 01:55:03 - mmengine - INFO - Epoch(train) [77][1160/1879] lr: 1.0000e-02 eta: 1 day, 2:38:36 time: 0.2873 data_time: 0.0246 memory: 8198 grad_norm: 5.3527 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5459 loss: 1.5459 2022/08/03 01:55:09 - mmengine - INFO - Epoch(train) [77][1180/1879] lr: 1.0000e-02 eta: 1 day, 2:38:30 time: 0.2828 data_time: 0.0230 memory: 8198 grad_norm: 5.1224 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5841 loss: 1.5841 2022/08/03 01:55:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:55:14 - mmengine - INFO - Epoch(train) [77][1200/1879] lr: 1.0000e-02 eta: 1 day, 2:38:24 time: 0.2851 data_time: 0.0239 memory: 8198 grad_norm: 5.2260 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5470 loss: 1.5470 2022/08/03 01:55:20 - mmengine - INFO - Epoch(train) [77][1220/1879] lr: 1.0000e-02 eta: 1 day, 2:38:19 time: 0.2844 data_time: 0.0259 memory: 8198 grad_norm: 5.3879 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8321 loss: 1.8321 2022/08/03 01:55:26 - mmengine - INFO - Epoch(train) [77][1240/1879] lr: 1.0000e-02 eta: 1 day, 2:38:13 time: 0.2832 data_time: 0.0237 memory: 8198 grad_norm: 5.3145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8418 loss: 1.8418 2022/08/03 01:55:32 - mmengine - INFO - Epoch(train) [77][1260/1879] lr: 1.0000e-02 eta: 1 day, 2:38:07 time: 0.2882 data_time: 0.0239 memory: 8198 grad_norm: 5.3842 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6754 loss: 1.6754 2022/08/03 01:55:37 - mmengine - INFO - Epoch(train) [77][1280/1879] lr: 1.0000e-02 eta: 1 day, 2:38:02 time: 0.2845 data_time: 0.0202 memory: 8198 grad_norm: 5.3444 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7253 loss: 1.7253 2022/08/03 01:55:43 - mmengine - INFO - Epoch(train) [77][1300/1879] lr: 1.0000e-02 eta: 1 day, 2:37:57 time: 0.2949 data_time: 0.0203 memory: 8198 grad_norm: 5.5132 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6887 loss: 1.6887 2022/08/03 01:55:49 - mmengine - INFO - Epoch(train) [77][1320/1879] lr: 1.0000e-02 eta: 1 day, 2:37:51 time: 0.2831 data_time: 0.0294 memory: 8198 grad_norm: 5.3914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8176 loss: 1.8176 2022/08/03 01:55:55 - mmengine - INFO - Epoch(train) [77][1340/1879] lr: 1.0000e-02 eta: 1 day, 2:37:45 time: 0.2845 data_time: 0.0250 memory: 8198 grad_norm: 5.2982 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7093 loss: 1.7093 2022/08/03 01:56:00 - mmengine - INFO - Epoch(train) [77][1360/1879] lr: 1.0000e-02 eta: 1 day, 2:37:40 time: 0.2898 data_time: 0.0250 memory: 8198 grad_norm: 5.2967 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7204 loss: 1.7204 2022/08/03 01:56:06 - mmengine - INFO - Epoch(train) [77][1380/1879] lr: 1.0000e-02 eta: 1 day, 2:37:34 time: 0.2816 data_time: 0.0250 memory: 8198 grad_norm: 5.2348 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5987 loss: 1.5987 2022/08/03 01:56:12 - mmengine - INFO - Epoch(train) [77][1400/1879] lr: 1.0000e-02 eta: 1 day, 2:37:28 time: 0.2823 data_time: 0.0279 memory: 8198 grad_norm: 5.3409 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5199 loss: 1.5199 2022/08/03 01:56:18 - mmengine - INFO - Epoch(train) [77][1420/1879] lr: 1.0000e-02 eta: 1 day, 2:37:23 time: 0.2989 data_time: 0.0210 memory: 8198 grad_norm: 5.0293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5680 loss: 1.5680 2022/08/03 01:56:23 - mmengine - INFO - Epoch(train) [77][1440/1879] lr: 1.0000e-02 eta: 1 day, 2:37:17 time: 0.2863 data_time: 0.0223 memory: 8198 grad_norm: 5.2294 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6076 loss: 1.6076 2022/08/03 01:56:29 - mmengine - INFO - Epoch(train) [77][1460/1879] lr: 1.0000e-02 eta: 1 day, 2:37:12 time: 0.2849 data_time: 0.0239 memory: 8198 grad_norm: 5.0829 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7052 loss: 1.7052 2022/08/03 01:56:35 - mmengine - INFO - Epoch(train) [77][1480/1879] lr: 1.0000e-02 eta: 1 day, 2:37:06 time: 0.2829 data_time: 0.0261 memory: 8198 grad_norm: 5.2571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6882 loss: 1.6882 2022/08/03 01:56:40 - mmengine - INFO - Epoch(train) [77][1500/1879] lr: 1.0000e-02 eta: 1 day, 2:37:00 time: 0.2794 data_time: 0.0229 memory: 8198 grad_norm: 5.1600 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5773 loss: 1.5773 2022/08/03 01:56:46 - mmengine - INFO - Epoch(train) [77][1520/1879] lr: 1.0000e-02 eta: 1 day, 2:36:54 time: 0.2834 data_time: 0.0188 memory: 8198 grad_norm: 5.1102 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6475 loss: 1.6475 2022/08/03 01:56:52 - mmengine - INFO - Epoch(train) [77][1540/1879] lr: 1.0000e-02 eta: 1 day, 2:36:49 time: 0.2978 data_time: 0.0233 memory: 8198 grad_norm: 5.2648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6194 loss: 1.6194 2022/08/03 01:56:58 - mmengine - INFO - Epoch(train) [77][1560/1879] lr: 1.0000e-02 eta: 1 day, 2:36:43 time: 0.2796 data_time: 0.0277 memory: 8198 grad_norm: 5.3536 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6676 loss: 1.6676 2022/08/03 01:57:03 - mmengine - INFO - Epoch(train) [77][1580/1879] lr: 1.0000e-02 eta: 1 day, 2:36:38 time: 0.2856 data_time: 0.0255 memory: 8198 grad_norm: 5.3988 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5010 loss: 1.5010 2022/08/03 01:57:09 - mmengine - INFO - Epoch(train) [77][1600/1879] lr: 1.0000e-02 eta: 1 day, 2:36:32 time: 0.2873 data_time: 0.0207 memory: 8198 grad_norm: 5.2757 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6596 loss: 1.6596 2022/08/03 01:57:15 - mmengine - INFO - Epoch(train) [77][1620/1879] lr: 1.0000e-02 eta: 1 day, 2:36:27 time: 0.2887 data_time: 0.0223 memory: 8198 grad_norm: 5.4337 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/08/03 01:57:21 - mmengine - INFO - Epoch(train) [77][1640/1879] lr: 1.0000e-02 eta: 1 day, 2:36:21 time: 0.2899 data_time: 0.0165 memory: 8198 grad_norm: 5.2627 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6281 loss: 1.6281 2022/08/03 01:57:26 - mmengine - INFO - Epoch(train) [77][1660/1879] lr: 1.0000e-02 eta: 1 day, 2:36:15 time: 0.2814 data_time: 0.0249 memory: 8198 grad_norm: 5.4529 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6756 loss: 1.6756 2022/08/03 01:57:32 - mmengine - INFO - Epoch(train) [77][1680/1879] lr: 1.0000e-02 eta: 1 day, 2:36:10 time: 0.2839 data_time: 0.0244 memory: 8198 grad_norm: 5.4678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6585 loss: 1.6585 2022/08/03 01:57:38 - mmengine - INFO - Epoch(train) [77][1700/1879] lr: 1.0000e-02 eta: 1 day, 2:36:04 time: 0.2826 data_time: 0.0223 memory: 8198 grad_norm: 5.2508 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4787 loss: 1.4787 2022/08/03 01:57:44 - mmengine - INFO - Epoch(train) [77][1720/1879] lr: 1.0000e-02 eta: 1 day, 2:35:58 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 5.2127 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7477 loss: 1.7477 2022/08/03 01:57:49 - mmengine - INFO - Epoch(train) [77][1740/1879] lr: 1.0000e-02 eta: 1 day, 2:35:52 time: 0.2822 data_time: 0.0239 memory: 8198 grad_norm: 5.2975 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7598 loss: 1.7598 2022/08/03 01:57:55 - mmengine - INFO - Epoch(train) [77][1760/1879] lr: 1.0000e-02 eta: 1 day, 2:35:47 time: 0.2874 data_time: 0.0197 memory: 8198 grad_norm: 5.3579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7307 loss: 1.7307 2022/08/03 01:58:01 - mmengine - INFO - Epoch(train) [77][1780/1879] lr: 1.0000e-02 eta: 1 day, 2:35:42 time: 0.2953 data_time: 0.0208 memory: 8198 grad_norm: 5.3862 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6932 loss: 1.6932 2022/08/03 01:58:06 - mmengine - INFO - Epoch(train) [77][1800/1879] lr: 1.0000e-02 eta: 1 day, 2:35:36 time: 0.2801 data_time: 0.0211 memory: 8198 grad_norm: 5.3366 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7819 loss: 1.7819 2022/08/03 01:58:12 - mmengine - INFO - Epoch(train) [77][1820/1879] lr: 1.0000e-02 eta: 1 day, 2:35:30 time: 0.2852 data_time: 0.0229 memory: 8198 grad_norm: 5.3853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6505 loss: 1.6505 2022/08/03 01:58:18 - mmengine - INFO - Epoch(train) [77][1840/1879] lr: 1.0000e-02 eta: 1 day, 2:35:24 time: 0.2801 data_time: 0.0225 memory: 8198 grad_norm: 5.2598 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7199 loss: 1.7199 2022/08/03 01:58:24 - mmengine - INFO - Epoch(train) [77][1860/1879] lr: 1.0000e-02 eta: 1 day, 2:35:19 time: 0.2878 data_time: 0.0224 memory: 8198 grad_norm: 5.1918 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5889 loss: 1.5889 2022/08/03 01:58:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 01:58:28 - mmengine - INFO - Epoch(train) [77][1879/1879] lr: 1.0000e-02 eta: 1 day, 2:35:19 time: 0.2552 data_time: 0.0134 memory: 8198 grad_norm: 5.5177 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8129 loss: 1.8129 2022/08/03 01:58:36 - mmengine - INFO - Epoch(train) [78][20/1879] lr: 1.0000e-02 eta: 1 day, 2:35:00 time: 0.3966 data_time: 0.1207 memory: 8198 grad_norm: 5.4111 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5896 loss: 1.5896 2022/08/03 01:58:42 - mmengine - INFO - Epoch(train) [78][40/1879] lr: 1.0000e-02 eta: 1 day, 2:34:55 time: 0.2966 data_time: 0.0189 memory: 8198 grad_norm: 5.2959 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7379 loss: 1.7379 2022/08/03 01:58:48 - mmengine - INFO - Epoch(train) [78][60/1879] lr: 1.0000e-02 eta: 1 day, 2:34:50 time: 0.2955 data_time: 0.0240 memory: 8198 grad_norm: 5.2786 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7462 loss: 1.7462 2022/08/03 01:58:54 - mmengine - INFO - Epoch(train) [78][80/1879] lr: 1.0000e-02 eta: 1 day, 2:34:45 time: 0.2953 data_time: 0.0281 memory: 8198 grad_norm: 5.3683 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7132 loss: 1.7132 2022/08/03 01:59:00 - mmengine - INFO - Epoch(train) [78][100/1879] lr: 1.0000e-02 eta: 1 day, 2:34:39 time: 0.2890 data_time: 0.0251 memory: 8198 grad_norm: 5.4004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6711 loss: 1.6711 2022/08/03 01:59:06 - mmengine - INFO - Epoch(train) [78][120/1879] lr: 1.0000e-02 eta: 1 day, 2:34:33 time: 0.2856 data_time: 0.0276 memory: 8198 grad_norm: 5.1204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6803 loss: 1.6803 2022/08/03 01:59:11 - mmengine - INFO - Epoch(train) [78][140/1879] lr: 1.0000e-02 eta: 1 day, 2:34:28 time: 0.2832 data_time: 0.0233 memory: 8198 grad_norm: 5.3831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4913 loss: 1.4913 2022/08/03 01:59:17 - mmengine - INFO - Epoch(train) [78][160/1879] lr: 1.0000e-02 eta: 1 day, 2:34:22 time: 0.2839 data_time: 0.0241 memory: 8198 grad_norm: 5.2316 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6767 loss: 1.6767 2022/08/03 01:59:23 - mmengine - INFO - Epoch(train) [78][180/1879] lr: 1.0000e-02 eta: 1 day, 2:34:17 time: 0.2902 data_time: 0.0253 memory: 8198 grad_norm: 5.3223 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6382 loss: 1.6382 2022/08/03 01:59:29 - mmengine - INFO - Epoch(train) [78][200/1879] lr: 1.0000e-02 eta: 1 day, 2:34:11 time: 0.2827 data_time: 0.0218 memory: 8198 grad_norm: 5.1929 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6972 loss: 1.6972 2022/08/03 01:59:34 - mmengine - INFO - Epoch(train) [78][220/1879] lr: 1.0000e-02 eta: 1 day, 2:34:05 time: 0.2814 data_time: 0.0184 memory: 8198 grad_norm: 5.3248 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6114 loss: 1.6114 2022/08/03 01:59:40 - mmengine - INFO - Epoch(train) [78][240/1879] lr: 1.0000e-02 eta: 1 day, 2:33:59 time: 0.2876 data_time: 0.0219 memory: 8198 grad_norm: 5.3837 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5207 loss: 1.5207 2022/08/03 01:59:46 - mmengine - INFO - Epoch(train) [78][260/1879] lr: 1.0000e-02 eta: 1 day, 2:33:54 time: 0.2836 data_time: 0.0199 memory: 8198 grad_norm: 5.4046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7714 loss: 1.7714 2022/08/03 01:59:51 - mmengine - INFO - Epoch(train) [78][280/1879] lr: 1.0000e-02 eta: 1 day, 2:33:48 time: 0.2893 data_time: 0.0284 memory: 8198 grad_norm: 5.1891 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6324 loss: 1.6324 2022/08/03 01:59:57 - mmengine - INFO - Epoch(train) [78][300/1879] lr: 1.0000e-02 eta: 1 day, 2:33:42 time: 0.2836 data_time: 0.0222 memory: 8198 grad_norm: 5.1824 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8372 loss: 1.8372 2022/08/03 02:00:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:00:04 - mmengine - INFO - Epoch(train) [78][320/1879] lr: 1.0000e-02 eta: 1 day, 2:33:40 time: 0.3651 data_time: 0.0189 memory: 8198 grad_norm: 5.3412 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6553 loss: 1.6553 2022/08/03 02:00:10 - mmengine - INFO - Epoch(train) [78][340/1879] lr: 1.0000e-02 eta: 1 day, 2:33:35 time: 0.2796 data_time: 0.0210 memory: 8198 grad_norm: 5.2396 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7457 loss: 1.7457 2022/08/03 02:00:16 - mmengine - INFO - Epoch(train) [78][360/1879] lr: 1.0000e-02 eta: 1 day, 2:33:29 time: 0.2791 data_time: 0.0247 memory: 8198 grad_norm: 5.2095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7440 loss: 1.7440 2022/08/03 02:00:22 - mmengine - INFO - Epoch(train) [78][380/1879] lr: 1.0000e-02 eta: 1 day, 2:33:24 time: 0.2990 data_time: 0.0261 memory: 8198 grad_norm: 5.2865 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6869 loss: 1.6869 2022/08/03 02:00:27 - mmengine - INFO - Epoch(train) [78][400/1879] lr: 1.0000e-02 eta: 1 day, 2:33:18 time: 0.2832 data_time: 0.0272 memory: 8198 grad_norm: 5.2439 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5627 loss: 1.5627 2022/08/03 02:00:33 - mmengine - INFO - Epoch(train) [78][420/1879] lr: 1.0000e-02 eta: 1 day, 2:33:12 time: 0.2828 data_time: 0.0214 memory: 8198 grad_norm: 5.2623 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5008 loss: 1.5008 2022/08/03 02:00:39 - mmengine - INFO - Epoch(train) [78][440/1879] lr: 1.0000e-02 eta: 1 day, 2:33:06 time: 0.2846 data_time: 0.0234 memory: 8198 grad_norm: 5.2130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6581 loss: 1.6581 2022/08/03 02:00:44 - mmengine - INFO - Epoch(train) [78][460/1879] lr: 1.0000e-02 eta: 1 day, 2:33:01 time: 0.2843 data_time: 0.0234 memory: 8198 grad_norm: 5.4285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6572 loss: 1.6572 2022/08/03 02:00:50 - mmengine - INFO - Epoch(train) [78][480/1879] lr: 1.0000e-02 eta: 1 day, 2:32:55 time: 0.2817 data_time: 0.0269 memory: 8198 grad_norm: 5.3795 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5284 loss: 1.5284 2022/08/03 02:00:56 - mmengine - INFO - Epoch(train) [78][500/1879] lr: 1.0000e-02 eta: 1 day, 2:32:49 time: 0.2788 data_time: 0.0223 memory: 8198 grad_norm: 5.2685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7232 loss: 1.7232 2022/08/03 02:01:02 - mmengine - INFO - Epoch(train) [78][520/1879] lr: 1.0000e-02 eta: 1 day, 2:32:44 time: 0.2926 data_time: 0.0237 memory: 8198 grad_norm: 5.2682 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6767 loss: 1.6767 2022/08/03 02:01:07 - mmengine - INFO - Epoch(train) [78][540/1879] lr: 1.0000e-02 eta: 1 day, 2:32:38 time: 0.2825 data_time: 0.0247 memory: 8198 grad_norm: 5.2820 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7183 loss: 1.7183 2022/08/03 02:01:13 - mmengine - INFO - Epoch(train) [78][560/1879] lr: 1.0000e-02 eta: 1 day, 2:32:33 time: 0.3000 data_time: 0.0194 memory: 8198 grad_norm: 5.2802 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7042 loss: 1.7042 2022/08/03 02:01:19 - mmengine - INFO - Epoch(train) [78][580/1879] lr: 1.0000e-02 eta: 1 day, 2:32:27 time: 0.2812 data_time: 0.0214 memory: 8198 grad_norm: 5.2757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6544 loss: 1.6544 2022/08/03 02:01:25 - mmengine - INFO - Epoch(train) [78][600/1879] lr: 1.0000e-02 eta: 1 day, 2:32:21 time: 0.2868 data_time: 0.0241 memory: 8198 grad_norm: 5.1978 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4225 loss: 1.4225 2022/08/03 02:01:30 - mmengine - INFO - Epoch(train) [78][620/1879] lr: 1.0000e-02 eta: 1 day, 2:32:16 time: 0.2921 data_time: 0.0310 memory: 8198 grad_norm: 5.2302 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5380 loss: 1.5380 2022/08/03 02:01:36 - mmengine - INFO - Epoch(train) [78][640/1879] lr: 1.0000e-02 eta: 1 day, 2:32:10 time: 0.2810 data_time: 0.0270 memory: 8198 grad_norm: 5.3214 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5948 loss: 1.5948 2022/08/03 02:01:42 - mmengine - INFO - Epoch(train) [78][660/1879] lr: 1.0000e-02 eta: 1 day, 2:32:04 time: 0.2832 data_time: 0.0230 memory: 8198 grad_norm: 5.3733 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6451 loss: 1.6451 2022/08/03 02:01:47 - mmengine - INFO - Epoch(train) [78][680/1879] lr: 1.0000e-02 eta: 1 day, 2:31:59 time: 0.2852 data_time: 0.0231 memory: 8198 grad_norm: 5.2979 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7082 loss: 1.7082 2022/08/03 02:01:53 - mmengine - INFO - Epoch(train) [78][700/1879] lr: 1.0000e-02 eta: 1 day, 2:31:53 time: 0.2811 data_time: 0.0230 memory: 8198 grad_norm: 5.2367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5203 loss: 1.5203 2022/08/03 02:01:59 - mmengine - INFO - Epoch(train) [78][720/1879] lr: 1.0000e-02 eta: 1 day, 2:31:47 time: 0.2841 data_time: 0.0238 memory: 8198 grad_norm: 5.3260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7980 loss: 1.7980 2022/08/03 02:02:05 - mmengine - INFO - Epoch(train) [78][740/1879] lr: 1.0000e-02 eta: 1 day, 2:31:42 time: 0.2864 data_time: 0.0199 memory: 8198 grad_norm: 5.0684 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4963 loss: 1.4963 2022/08/03 02:02:10 - mmengine - INFO - Epoch(train) [78][760/1879] lr: 1.0000e-02 eta: 1 day, 2:31:36 time: 0.2860 data_time: 0.0238 memory: 8198 grad_norm: 5.4490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7599 loss: 1.7599 2022/08/03 02:02:16 - mmengine - INFO - Epoch(train) [78][780/1879] lr: 1.0000e-02 eta: 1 day, 2:31:30 time: 0.2818 data_time: 0.0213 memory: 8198 grad_norm: 5.3479 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6434 loss: 1.6434 2022/08/03 02:02:22 - mmengine - INFO - Epoch(train) [78][800/1879] lr: 1.0000e-02 eta: 1 day, 2:31:25 time: 0.2874 data_time: 0.0257 memory: 8198 grad_norm: 5.1318 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5194 loss: 1.5194 2022/08/03 02:02:27 - mmengine - INFO - Epoch(train) [78][820/1879] lr: 1.0000e-02 eta: 1 day, 2:31:19 time: 0.2856 data_time: 0.0211 memory: 8198 grad_norm: 5.3564 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8182 loss: 1.8182 2022/08/03 02:02:33 - mmengine - INFO - Epoch(train) [78][840/1879] lr: 1.0000e-02 eta: 1 day, 2:31:14 time: 0.2951 data_time: 0.0190 memory: 8198 grad_norm: 5.4657 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6906 loss: 1.6906 2022/08/03 02:02:39 - mmengine - INFO - Epoch(train) [78][860/1879] lr: 1.0000e-02 eta: 1 day, 2:31:08 time: 0.2815 data_time: 0.0195 memory: 8198 grad_norm: 5.4406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8634 loss: 1.8634 2022/08/03 02:02:45 - mmengine - INFO - Epoch(train) [78][880/1879] lr: 1.0000e-02 eta: 1 day, 2:31:02 time: 0.2886 data_time: 0.0232 memory: 8198 grad_norm: 5.3405 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8464 loss: 1.8464 2022/08/03 02:02:50 - mmengine - INFO - Epoch(train) [78][900/1879] lr: 1.0000e-02 eta: 1 day, 2:30:57 time: 0.2853 data_time: 0.0214 memory: 8198 grad_norm: 5.3748 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8217 loss: 1.8217 2022/08/03 02:02:56 - mmengine - INFO - Epoch(train) [78][920/1879] lr: 1.0000e-02 eta: 1 day, 2:30:51 time: 0.2858 data_time: 0.0255 memory: 8198 grad_norm: 5.3502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/08/03 02:03:02 - mmengine - INFO - Epoch(train) [78][940/1879] lr: 1.0000e-02 eta: 1 day, 2:30:46 time: 0.2920 data_time: 0.0226 memory: 8198 grad_norm: 5.2944 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7984 loss: 1.7984 2022/08/03 02:03:08 - mmengine - INFO - Epoch(train) [78][960/1879] lr: 1.0000e-02 eta: 1 day, 2:30:40 time: 0.2821 data_time: 0.0201 memory: 8198 grad_norm: 5.3383 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7598 loss: 1.7598 2022/08/03 02:03:13 - mmengine - INFO - Epoch(train) [78][980/1879] lr: 1.0000e-02 eta: 1 day, 2:30:34 time: 0.2843 data_time: 0.0273 memory: 8198 grad_norm: 5.2792 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6349 loss: 1.6349 2022/08/03 02:03:19 - mmengine - INFO - Epoch(train) [78][1000/1879] lr: 1.0000e-02 eta: 1 day, 2:30:28 time: 0.2811 data_time: 0.0191 memory: 8198 grad_norm: 5.3168 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6582 loss: 1.6582 2022/08/03 02:03:25 - mmengine - INFO - Epoch(train) [78][1020/1879] lr: 1.0000e-02 eta: 1 day, 2:30:23 time: 0.2911 data_time: 0.0223 memory: 8198 grad_norm: 5.3637 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6546 loss: 1.6546 2022/08/03 02:03:31 - mmengine - INFO - Epoch(train) [78][1040/1879] lr: 1.0000e-02 eta: 1 day, 2:30:17 time: 0.2860 data_time: 0.0285 memory: 8198 grad_norm: 5.4078 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7607 loss: 1.7607 2022/08/03 02:03:36 - mmengine - INFO - Epoch(train) [78][1060/1879] lr: 1.0000e-02 eta: 1 day, 2:30:12 time: 0.2817 data_time: 0.0217 memory: 8198 grad_norm: 5.2058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5685 loss: 1.5685 2022/08/03 02:03:42 - mmengine - INFO - Epoch(train) [78][1080/1879] lr: 1.0000e-02 eta: 1 day, 2:30:06 time: 0.2859 data_time: 0.0237 memory: 8198 grad_norm: 5.3972 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4547 loss: 1.4547 2022/08/03 02:03:48 - mmengine - INFO - Epoch(train) [78][1100/1879] lr: 1.0000e-02 eta: 1 day, 2:30:00 time: 0.2821 data_time: 0.0212 memory: 8198 grad_norm: 5.3760 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7120 loss: 1.7120 2022/08/03 02:03:53 - mmengine - INFO - Epoch(train) [78][1120/1879] lr: 1.0000e-02 eta: 1 day, 2:29:54 time: 0.2840 data_time: 0.0260 memory: 8198 grad_norm: 5.3780 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5149 loss: 1.5149 2022/08/03 02:03:59 - mmengine - INFO - Epoch(train) [78][1140/1879] lr: 1.0000e-02 eta: 1 day, 2:29:49 time: 0.2878 data_time: 0.0224 memory: 8198 grad_norm: 5.2487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4153 loss: 1.4153 2022/08/03 02:04:05 - mmengine - INFO - Epoch(train) [78][1160/1879] lr: 1.0000e-02 eta: 1 day, 2:29:43 time: 0.2888 data_time: 0.0274 memory: 8198 grad_norm: 5.2405 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9347 loss: 1.9347 2022/08/03 02:04:11 - mmengine - INFO - Epoch(train) [78][1180/1879] lr: 1.0000e-02 eta: 1 day, 2:29:38 time: 0.2961 data_time: 0.0204 memory: 8198 grad_norm: 5.3359 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6540 loss: 1.6540 2022/08/03 02:04:17 - mmengine - INFO - Epoch(train) [78][1200/1879] lr: 1.0000e-02 eta: 1 day, 2:29:32 time: 0.2826 data_time: 0.0200 memory: 8198 grad_norm: 5.3304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6059 loss: 1.6059 2022/08/03 02:04:22 - mmengine - INFO - Epoch(train) [78][1220/1879] lr: 1.0000e-02 eta: 1 day, 2:29:27 time: 0.2851 data_time: 0.0239 memory: 8198 grad_norm: 5.4444 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9514 loss: 1.9514 2022/08/03 02:04:28 - mmengine - INFO - Epoch(train) [78][1240/1879] lr: 1.0000e-02 eta: 1 day, 2:29:21 time: 0.2829 data_time: 0.0240 memory: 8198 grad_norm: 5.3418 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6316 loss: 1.6316 2022/08/03 02:04:34 - mmengine - INFO - Epoch(train) [78][1260/1879] lr: 1.0000e-02 eta: 1 day, 2:29:15 time: 0.2824 data_time: 0.0239 memory: 8198 grad_norm: 5.2080 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6542 loss: 1.6542 2022/08/03 02:04:39 - mmengine - INFO - Epoch(train) [78][1280/1879] lr: 1.0000e-02 eta: 1 day, 2:29:09 time: 0.2835 data_time: 0.0238 memory: 8198 grad_norm: 5.2619 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7662 loss: 1.7662 2022/08/03 02:04:45 - mmengine - INFO - Epoch(train) [78][1300/1879] lr: 1.0000e-02 eta: 1 day, 2:29:04 time: 0.2909 data_time: 0.0251 memory: 8198 grad_norm: 5.3276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7977 loss: 1.7977 2022/08/03 02:04:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:04:51 - mmengine - INFO - Epoch(train) [78][1320/1879] lr: 1.0000e-02 eta: 1 day, 2:28:58 time: 0.2871 data_time: 0.0272 memory: 8198 grad_norm: 5.3424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5106 loss: 1.5106 2022/08/03 02:04:56 - mmengine - INFO - Epoch(train) [78][1340/1879] lr: 1.0000e-02 eta: 1 day, 2:28:53 time: 0.2802 data_time: 0.0197 memory: 8198 grad_norm: 5.1993 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6161 loss: 1.6161 2022/08/03 02:05:02 - mmengine - INFO - Epoch(train) [78][1360/1879] lr: 1.0000e-02 eta: 1 day, 2:28:47 time: 0.2849 data_time: 0.0234 memory: 8198 grad_norm: 5.1669 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7661 loss: 1.7661 2022/08/03 02:05:08 - mmengine - INFO - Epoch(train) [78][1380/1879] lr: 1.0000e-02 eta: 1 day, 2:28:41 time: 0.2829 data_time: 0.0242 memory: 8198 grad_norm: 5.3852 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8635 loss: 1.8635 2022/08/03 02:05:14 - mmengine - INFO - Epoch(train) [78][1400/1879] lr: 1.0000e-02 eta: 1 day, 2:28:35 time: 0.2863 data_time: 0.0239 memory: 8198 grad_norm: 5.3602 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7421 loss: 1.7421 2022/08/03 02:05:19 - mmengine - INFO - Epoch(train) [78][1420/1879] lr: 1.0000e-02 eta: 1 day, 2:28:30 time: 0.2811 data_time: 0.0252 memory: 8198 grad_norm: 5.2474 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5908 loss: 1.5908 2022/08/03 02:05:25 - mmengine - INFO - Epoch(train) [78][1440/1879] lr: 1.0000e-02 eta: 1 day, 2:28:24 time: 0.2866 data_time: 0.0222 memory: 8198 grad_norm: 5.2830 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5409 loss: 1.5409 2022/08/03 02:05:31 - mmengine - INFO - Epoch(train) [78][1460/1879] lr: 1.0000e-02 eta: 1 day, 2:28:18 time: 0.2858 data_time: 0.0219 memory: 8198 grad_norm: 5.3777 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6413 loss: 1.6413 2022/08/03 02:05:36 - mmengine - INFO - Epoch(train) [78][1480/1879] lr: 1.0000e-02 eta: 1 day, 2:28:13 time: 0.2860 data_time: 0.0259 memory: 8198 grad_norm: 5.3683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6642 loss: 1.6642 2022/08/03 02:05:42 - mmengine - INFO - Epoch(train) [78][1500/1879] lr: 1.0000e-02 eta: 1 day, 2:28:07 time: 0.2835 data_time: 0.0242 memory: 8198 grad_norm: 5.3138 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7482 loss: 1.7482 2022/08/03 02:05:48 - mmengine - INFO - Epoch(train) [78][1520/1879] lr: 1.0000e-02 eta: 1 day, 2:28:01 time: 0.2879 data_time: 0.0274 memory: 8198 grad_norm: 5.4610 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8541 loss: 1.8541 2022/08/03 02:05:54 - mmengine - INFO - Epoch(train) [78][1540/1879] lr: 1.0000e-02 eta: 1 day, 2:27:56 time: 0.2847 data_time: 0.0251 memory: 8198 grad_norm: 5.2377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7199 loss: 1.7199 2022/08/03 02:05:59 - mmengine - INFO - Epoch(train) [78][1560/1879] lr: 1.0000e-02 eta: 1 day, 2:27:50 time: 0.2847 data_time: 0.0236 memory: 8198 grad_norm: 5.0825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/08/03 02:06:05 - mmengine - INFO - Epoch(train) [78][1580/1879] lr: 1.0000e-02 eta: 1 day, 2:27:44 time: 0.2842 data_time: 0.0231 memory: 8198 grad_norm: 5.2146 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8339 loss: 1.8339 2022/08/03 02:06:11 - mmengine - INFO - Epoch(train) [78][1600/1879] lr: 1.0000e-02 eta: 1 day, 2:27:39 time: 0.2826 data_time: 0.0210 memory: 8198 grad_norm: 5.1722 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5487 loss: 1.5487 2022/08/03 02:06:16 - mmengine - INFO - Epoch(train) [78][1620/1879] lr: 1.0000e-02 eta: 1 day, 2:27:33 time: 0.2840 data_time: 0.0236 memory: 8198 grad_norm: 5.2026 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5759 loss: 1.5759 2022/08/03 02:06:22 - mmengine - INFO - Epoch(train) [78][1640/1879] lr: 1.0000e-02 eta: 1 day, 2:27:27 time: 0.2826 data_time: 0.0216 memory: 8198 grad_norm: 5.0968 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8816 loss: 1.8816 2022/08/03 02:06:28 - mmengine - INFO - Epoch(train) [78][1660/1879] lr: 1.0000e-02 eta: 1 day, 2:27:21 time: 0.2809 data_time: 0.0223 memory: 8198 grad_norm: 5.2894 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6100 loss: 1.6100 2022/08/03 02:06:33 - mmengine - INFO - Epoch(train) [78][1680/1879] lr: 1.0000e-02 eta: 1 day, 2:27:16 time: 0.2869 data_time: 0.0217 memory: 8198 grad_norm: 5.2530 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6640 loss: 1.6640 2022/08/03 02:06:39 - mmengine - INFO - Epoch(train) [78][1700/1879] lr: 1.0000e-02 eta: 1 day, 2:27:10 time: 0.2859 data_time: 0.0247 memory: 8198 grad_norm: 5.3454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5557 loss: 1.5557 2022/08/03 02:06:45 - mmengine - INFO - Epoch(train) [78][1720/1879] lr: 1.0000e-02 eta: 1 day, 2:27:05 time: 0.2878 data_time: 0.0221 memory: 8198 grad_norm: 5.2471 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7019 loss: 1.7019 2022/08/03 02:06:51 - mmengine - INFO - Epoch(train) [78][1740/1879] lr: 1.0000e-02 eta: 1 day, 2:26:59 time: 0.2951 data_time: 0.0229 memory: 8198 grad_norm: 5.0082 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6173 loss: 1.6173 2022/08/03 02:06:56 - mmengine - INFO - Epoch(train) [78][1760/1879] lr: 1.0000e-02 eta: 1 day, 2:26:53 time: 0.2811 data_time: 0.0196 memory: 8198 grad_norm: 5.2909 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7336 loss: 1.7336 2022/08/03 02:07:02 - mmengine - INFO - Epoch(train) [78][1780/1879] lr: 1.0000e-02 eta: 1 day, 2:26:48 time: 0.2814 data_time: 0.0219 memory: 8198 grad_norm: 5.2358 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5517 loss: 1.5517 2022/08/03 02:07:08 - mmengine - INFO - Epoch(train) [78][1800/1879] lr: 1.0000e-02 eta: 1 day, 2:26:42 time: 0.2826 data_time: 0.0274 memory: 8198 grad_norm: 5.3656 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7504 loss: 1.7504 2022/08/03 02:07:14 - mmengine - INFO - Epoch(train) [78][1820/1879] lr: 1.0000e-02 eta: 1 day, 2:26:36 time: 0.2854 data_time: 0.0199 memory: 8198 grad_norm: 5.2805 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7004 loss: 1.7004 2022/08/03 02:07:19 - mmengine - INFO - Epoch(train) [78][1840/1879] lr: 1.0000e-02 eta: 1 day, 2:26:30 time: 0.2816 data_time: 0.0223 memory: 8198 grad_norm: 5.2711 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6482 loss: 1.6482 2022/08/03 02:07:25 - mmengine - INFO - Epoch(train) [78][1860/1879] lr: 1.0000e-02 eta: 1 day, 2:26:25 time: 0.2832 data_time: 0.0210 memory: 8198 grad_norm: 5.3729 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6231 loss: 1.6231 2022/08/03 02:07:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:07:30 - mmengine - INFO - Epoch(train) [78][1879/1879] lr: 1.0000e-02 eta: 1 day, 2:26:25 time: 0.2560 data_time: 0.0165 memory: 8198 grad_norm: 5.5306 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 1.7076 loss: 1.7076 2022/08/03 02:07:38 - mmengine - INFO - Epoch(train) [79][20/1879] lr: 1.0000e-02 eta: 1 day, 2:26:06 time: 0.3985 data_time: 0.1319 memory: 8198 grad_norm: 5.2790 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6888 loss: 1.6888 2022/08/03 02:07:44 - mmengine - INFO - Epoch(train) [79][40/1879] lr: 1.0000e-02 eta: 1 day, 2:26:01 time: 0.2986 data_time: 0.0205 memory: 8198 grad_norm: 5.3020 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7837 loss: 1.7837 2022/08/03 02:07:50 - mmengine - INFO - Epoch(train) [79][60/1879] lr: 1.0000e-02 eta: 1 day, 2:25:56 time: 0.2892 data_time: 0.0227 memory: 8198 grad_norm: 5.3559 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7583 loss: 1.7583 2022/08/03 02:07:55 - mmengine - INFO - Epoch(train) [79][80/1879] lr: 1.0000e-02 eta: 1 day, 2:25:50 time: 0.2893 data_time: 0.0212 memory: 8198 grad_norm: 5.3197 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4941 loss: 1.4941 2022/08/03 02:08:01 - mmengine - INFO - Epoch(train) [79][100/1879] lr: 1.0000e-02 eta: 1 day, 2:25:45 time: 0.2958 data_time: 0.0227 memory: 8198 grad_norm: 5.2405 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6052 loss: 1.6052 2022/08/03 02:08:07 - mmengine - INFO - Epoch(train) [79][120/1879] lr: 1.0000e-02 eta: 1 day, 2:25:39 time: 0.2818 data_time: 0.0191 memory: 8198 grad_norm: 5.4167 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7359 loss: 1.7359 2022/08/03 02:08:13 - mmengine - INFO - Epoch(train) [79][140/1879] lr: 1.0000e-02 eta: 1 day, 2:25:34 time: 0.2824 data_time: 0.0243 memory: 8198 grad_norm: 5.3637 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5517 loss: 1.5517 2022/08/03 02:08:18 - mmengine - INFO - Epoch(train) [79][160/1879] lr: 1.0000e-02 eta: 1 day, 2:25:28 time: 0.2864 data_time: 0.0286 memory: 8198 grad_norm: 5.1841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7736 loss: 1.7736 2022/08/03 02:08:24 - mmengine - INFO - Epoch(train) [79][180/1879] lr: 1.0000e-02 eta: 1 day, 2:25:22 time: 0.2830 data_time: 0.0273 memory: 8198 grad_norm: 5.1511 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6335 loss: 1.6335 2022/08/03 02:08:30 - mmengine - INFO - Epoch(train) [79][200/1879] lr: 1.0000e-02 eta: 1 day, 2:25:16 time: 0.2814 data_time: 0.0284 memory: 8198 grad_norm: 5.2497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6736 loss: 1.6736 2022/08/03 02:08:35 - mmengine - INFO - Epoch(train) [79][220/1879] lr: 1.0000e-02 eta: 1 day, 2:25:11 time: 0.2814 data_time: 0.0213 memory: 8198 grad_norm: 5.3611 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8263 loss: 1.8263 2022/08/03 02:08:41 - mmengine - INFO - Epoch(train) [79][240/1879] lr: 1.0000e-02 eta: 1 day, 2:25:05 time: 0.2858 data_time: 0.0229 memory: 8198 grad_norm: 5.1516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6999 loss: 1.6999 2022/08/03 02:08:47 - mmengine - INFO - Epoch(train) [79][260/1879] lr: 1.0000e-02 eta: 1 day, 2:24:59 time: 0.2888 data_time: 0.0252 memory: 8198 grad_norm: 5.1774 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6155 loss: 1.6155 2022/08/03 02:08:53 - mmengine - INFO - Epoch(train) [79][280/1879] lr: 1.0000e-02 eta: 1 day, 2:24:54 time: 0.2876 data_time: 0.0318 memory: 8198 grad_norm: 5.3486 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7428 loss: 1.7428 2022/08/03 02:08:58 - mmengine - INFO - Epoch(train) [79][300/1879] lr: 1.0000e-02 eta: 1 day, 2:24:48 time: 0.2815 data_time: 0.0235 memory: 8198 grad_norm: 5.2968 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7399 loss: 1.7399 2022/08/03 02:09:04 - mmengine - INFO - Epoch(train) [79][320/1879] lr: 1.0000e-02 eta: 1 day, 2:24:42 time: 0.2811 data_time: 0.0224 memory: 8198 grad_norm: 5.4689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/08/03 02:09:10 - mmengine - INFO - Epoch(train) [79][340/1879] lr: 1.0000e-02 eta: 1 day, 2:24:37 time: 0.2853 data_time: 0.0254 memory: 8198 grad_norm: 5.0913 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6448 loss: 1.6448 2022/08/03 02:09:15 - mmengine - INFO - Epoch(train) [79][360/1879] lr: 1.0000e-02 eta: 1 day, 2:24:31 time: 0.2876 data_time: 0.0276 memory: 8198 grad_norm: 5.2911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6667 loss: 1.6667 2022/08/03 02:09:21 - mmengine - INFO - Epoch(train) [79][380/1879] lr: 1.0000e-02 eta: 1 day, 2:24:25 time: 0.2880 data_time: 0.0229 memory: 8198 grad_norm: 5.1356 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6071 loss: 1.6071 2022/08/03 02:09:27 - mmengine - INFO - Epoch(train) [79][400/1879] lr: 1.0000e-02 eta: 1 day, 2:24:20 time: 0.2844 data_time: 0.0225 memory: 8198 grad_norm: 5.2284 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7168 loss: 1.7168 2022/08/03 02:09:33 - mmengine - INFO - Epoch(train) [79][420/1879] lr: 1.0000e-02 eta: 1 day, 2:24:14 time: 0.2884 data_time: 0.0267 memory: 8198 grad_norm: 5.3272 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5728 loss: 1.5728 2022/08/03 02:09:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:09:38 - mmengine - INFO - Epoch(train) [79][440/1879] lr: 1.0000e-02 eta: 1 day, 2:24:08 time: 0.2832 data_time: 0.0253 memory: 8198 grad_norm: 5.3157 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5226 loss: 1.5226 2022/08/03 02:09:44 - mmengine - INFO - Epoch(train) [79][460/1879] lr: 1.0000e-02 eta: 1 day, 2:24:03 time: 0.2849 data_time: 0.0187 memory: 8198 grad_norm: 5.3247 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5950 loss: 1.5950 2022/08/03 02:09:50 - mmengine - INFO - Epoch(train) [79][480/1879] lr: 1.0000e-02 eta: 1 day, 2:23:58 time: 0.2944 data_time: 0.0381 memory: 8198 grad_norm: 5.3335 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7394 loss: 1.7394 2022/08/03 02:09:56 - mmengine - INFO - Epoch(train) [79][500/1879] lr: 1.0000e-02 eta: 1 day, 2:23:52 time: 0.2832 data_time: 0.0245 memory: 8198 grad_norm: 5.3176 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7766 loss: 1.7766 2022/08/03 02:10:01 - mmengine - INFO - Epoch(train) [79][520/1879] lr: 1.0000e-02 eta: 1 day, 2:23:46 time: 0.2821 data_time: 0.0209 memory: 8198 grad_norm: 5.1589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5916 loss: 1.5916 2022/08/03 02:10:07 - mmengine - INFO - Epoch(train) [79][540/1879] lr: 1.0000e-02 eta: 1 day, 2:23:40 time: 0.2833 data_time: 0.0241 memory: 8198 grad_norm: 5.3955 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6537 loss: 1.6537 2022/08/03 02:10:13 - mmengine - INFO - Epoch(train) [79][560/1879] lr: 1.0000e-02 eta: 1 day, 2:23:35 time: 0.2889 data_time: 0.0240 memory: 8198 grad_norm: 5.2762 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5720 loss: 1.5720 2022/08/03 02:10:18 - mmengine - INFO - Epoch(train) [79][580/1879] lr: 1.0000e-02 eta: 1 day, 2:23:29 time: 0.2781 data_time: 0.0218 memory: 8198 grad_norm: 5.3398 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5722 loss: 1.5722 2022/08/03 02:10:24 - mmengine - INFO - Epoch(train) [79][600/1879] lr: 1.0000e-02 eta: 1 day, 2:23:24 time: 0.2966 data_time: 0.0258 memory: 8198 grad_norm: 5.2699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8080 loss: 1.8080 2022/08/03 02:10:30 - mmengine - INFO - Epoch(train) [79][620/1879] lr: 1.0000e-02 eta: 1 day, 2:23:18 time: 0.2868 data_time: 0.0238 memory: 8198 grad_norm: 5.2587 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5575 loss: 1.5575 2022/08/03 02:10:36 - mmengine - INFO - Epoch(train) [79][640/1879] lr: 1.0000e-02 eta: 1 day, 2:23:12 time: 0.2829 data_time: 0.0229 memory: 8198 grad_norm: 5.2290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6679 loss: 1.6679 2022/08/03 02:10:41 - mmengine - INFO - Epoch(train) [79][660/1879] lr: 1.0000e-02 eta: 1 day, 2:23:07 time: 0.2842 data_time: 0.0220 memory: 8198 grad_norm: 5.2925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7556 loss: 1.7556 2022/08/03 02:10:47 - mmengine - INFO - Epoch(train) [79][680/1879] lr: 1.0000e-02 eta: 1 day, 2:23:01 time: 0.2839 data_time: 0.0210 memory: 8198 grad_norm: 5.2417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5764 loss: 1.5764 2022/08/03 02:10:53 - mmengine - INFO - Epoch(train) [79][700/1879] lr: 1.0000e-02 eta: 1 day, 2:22:55 time: 0.2859 data_time: 0.0233 memory: 8198 grad_norm: 5.3451 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6717 loss: 1.6717 2022/08/03 02:10:58 - mmengine - INFO - Epoch(train) [79][720/1879] lr: 1.0000e-02 eta: 1 day, 2:22:49 time: 0.2800 data_time: 0.0184 memory: 8198 grad_norm: 5.2156 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5821 loss: 1.5821 2022/08/03 02:11:04 - mmengine - INFO - Epoch(train) [79][740/1879] lr: 1.0000e-02 eta: 1 day, 2:22:44 time: 0.2851 data_time: 0.0291 memory: 8198 grad_norm: 5.2666 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6329 loss: 1.6329 2022/08/03 02:11:10 - mmengine - INFO - Epoch(train) [79][760/1879] lr: 1.0000e-02 eta: 1 day, 2:22:38 time: 0.2834 data_time: 0.0249 memory: 8198 grad_norm: 5.2819 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/08/03 02:11:15 - mmengine - INFO - Epoch(train) [79][780/1879] lr: 1.0000e-02 eta: 1 day, 2:22:32 time: 0.2842 data_time: 0.0244 memory: 8198 grad_norm: 5.2829 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5407 loss: 1.5407 2022/08/03 02:11:21 - mmengine - INFO - Epoch(train) [79][800/1879] lr: 1.0000e-02 eta: 1 day, 2:22:27 time: 0.2894 data_time: 0.0225 memory: 8198 grad_norm: 5.5825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7841 loss: 1.7841 2022/08/03 02:11:27 - mmengine - INFO - Epoch(train) [79][820/1879] lr: 1.0000e-02 eta: 1 day, 2:22:21 time: 0.2812 data_time: 0.0209 memory: 8198 grad_norm: 5.3878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5770 loss: 1.5770 2022/08/03 02:11:33 - mmengine - INFO - Epoch(train) [79][840/1879] lr: 1.0000e-02 eta: 1 day, 2:22:15 time: 0.2832 data_time: 0.0236 memory: 8198 grad_norm: 5.4171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6224 loss: 1.6224 2022/08/03 02:11:38 - mmengine - INFO - Epoch(train) [79][860/1879] lr: 1.0000e-02 eta: 1 day, 2:22:09 time: 0.2832 data_time: 0.0202 memory: 8198 grad_norm: 5.3477 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5986 loss: 1.5986 2022/08/03 02:11:44 - mmengine - INFO - Epoch(train) [79][880/1879] lr: 1.0000e-02 eta: 1 day, 2:22:04 time: 0.2934 data_time: 0.0219 memory: 8198 grad_norm: 5.2665 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6193 loss: 1.6193 2022/08/03 02:11:50 - mmengine - INFO - Epoch(train) [79][900/1879] lr: 1.0000e-02 eta: 1 day, 2:21:58 time: 0.2795 data_time: 0.0186 memory: 8198 grad_norm: 5.2110 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6361 loss: 1.6361 2022/08/03 02:11:55 - mmengine - INFO - Epoch(train) [79][920/1879] lr: 1.0000e-02 eta: 1 day, 2:21:53 time: 0.2867 data_time: 0.0271 memory: 8198 grad_norm: 5.3866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4188 loss: 1.4188 2022/08/03 02:12:01 - mmengine - INFO - Epoch(train) [79][940/1879] lr: 1.0000e-02 eta: 1 day, 2:21:47 time: 0.2914 data_time: 0.0239 memory: 8198 grad_norm: 5.3278 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5049 loss: 1.5049 2022/08/03 02:12:07 - mmengine - INFO - Epoch(train) [79][960/1879] lr: 1.0000e-02 eta: 1 day, 2:21:42 time: 0.2867 data_time: 0.0235 memory: 8198 grad_norm: 5.3459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5676 loss: 1.5676 2022/08/03 02:12:13 - mmengine - INFO - Epoch(train) [79][980/1879] lr: 1.0000e-02 eta: 1 day, 2:21:36 time: 0.2839 data_time: 0.0197 memory: 8198 grad_norm: 5.2537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7544 loss: 1.7544 2022/08/03 02:12:18 - mmengine - INFO - Epoch(train) [79][1000/1879] lr: 1.0000e-02 eta: 1 day, 2:21:30 time: 0.2849 data_time: 0.0246 memory: 8198 grad_norm: 5.5274 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7682 loss: 1.7682 2022/08/03 02:12:24 - mmengine - INFO - Epoch(train) [79][1020/1879] lr: 1.0000e-02 eta: 1 day, 2:21:25 time: 0.2977 data_time: 0.0245 memory: 8198 grad_norm: 5.2802 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6579 loss: 1.6579 2022/08/03 02:12:30 - mmengine - INFO - Epoch(train) [79][1040/1879] lr: 1.0000e-02 eta: 1 day, 2:21:19 time: 0.2824 data_time: 0.0231 memory: 8198 grad_norm: 5.4373 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8289 loss: 1.8289 2022/08/03 02:12:36 - mmengine - INFO - Epoch(train) [79][1060/1879] lr: 1.0000e-02 eta: 1 day, 2:21:14 time: 0.2821 data_time: 0.0225 memory: 8198 grad_norm: 5.2303 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4642 loss: 1.4642 2022/08/03 02:12:41 - mmengine - INFO - Epoch(train) [79][1080/1879] lr: 1.0000e-02 eta: 1 day, 2:21:08 time: 0.2864 data_time: 0.0205 memory: 8198 grad_norm: 5.4245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7509 loss: 1.7509 2022/08/03 02:12:47 - mmengine - INFO - Epoch(train) [79][1100/1879] lr: 1.0000e-02 eta: 1 day, 2:21:02 time: 0.2856 data_time: 0.0232 memory: 8198 grad_norm: 5.3605 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8673 loss: 1.8673 2022/08/03 02:12:53 - mmengine - INFO - Epoch(train) [79][1120/1879] lr: 1.0000e-02 eta: 1 day, 2:20:57 time: 0.2840 data_time: 0.0227 memory: 8198 grad_norm: 5.3809 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5736 loss: 1.5736 2022/08/03 02:12:59 - mmengine - INFO - Epoch(train) [79][1140/1879] lr: 1.0000e-02 eta: 1 day, 2:20:51 time: 0.2819 data_time: 0.0228 memory: 8198 grad_norm: 5.4205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6120 loss: 1.6120 2022/08/03 02:13:04 - mmengine - INFO - Epoch(train) [79][1160/1879] lr: 1.0000e-02 eta: 1 day, 2:20:45 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 5.3755 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6876 loss: 1.6876 2022/08/03 02:13:10 - mmengine - INFO - Epoch(train) [79][1180/1879] lr: 1.0000e-02 eta: 1 day, 2:20:39 time: 0.2812 data_time: 0.0265 memory: 8198 grad_norm: 5.4881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7843 loss: 1.7843 2022/08/03 02:13:16 - mmengine - INFO - Epoch(train) [79][1200/1879] lr: 1.0000e-02 eta: 1 day, 2:20:33 time: 0.2828 data_time: 0.0212 memory: 8198 grad_norm: 5.3987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7836 loss: 1.7836 2022/08/03 02:13:21 - mmengine - INFO - Epoch(train) [79][1220/1879] lr: 1.0000e-02 eta: 1 day, 2:20:28 time: 0.2844 data_time: 0.0246 memory: 8198 grad_norm: 5.3273 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7254 loss: 1.7254 2022/08/03 02:13:27 - mmengine - INFO - Epoch(train) [79][1240/1879] lr: 1.0000e-02 eta: 1 day, 2:20:22 time: 0.2833 data_time: 0.0229 memory: 8198 grad_norm: 5.3422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/08/03 02:13:33 - mmengine - INFO - Epoch(train) [79][1260/1879] lr: 1.0000e-02 eta: 1 day, 2:20:16 time: 0.2837 data_time: 0.0231 memory: 8198 grad_norm: 5.2652 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5451 loss: 1.5451 2022/08/03 02:13:38 - mmengine - INFO - Epoch(train) [79][1280/1879] lr: 1.0000e-02 eta: 1 day, 2:20:10 time: 0.2833 data_time: 0.0264 memory: 8198 grad_norm: 5.3369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7450 loss: 1.7450 2022/08/03 02:13:44 - mmengine - INFO - Epoch(train) [79][1300/1879] lr: 1.0000e-02 eta: 1 day, 2:20:05 time: 0.2853 data_time: 0.0209 memory: 8198 grad_norm: 5.2652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6873 loss: 1.6873 2022/08/03 02:13:50 - mmengine - INFO - Epoch(train) [79][1320/1879] lr: 1.0000e-02 eta: 1 day, 2:19:59 time: 0.2831 data_time: 0.0228 memory: 8198 grad_norm: 5.3415 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8224 loss: 1.8224 2022/08/03 02:13:55 - mmengine - INFO - Epoch(train) [79][1340/1879] lr: 1.0000e-02 eta: 1 day, 2:19:54 time: 0.2877 data_time: 0.0201 memory: 8198 grad_norm: 5.3193 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6395 loss: 1.6395 2022/08/03 02:14:01 - mmengine - INFO - Epoch(train) [79][1360/1879] lr: 1.0000e-02 eta: 1 day, 2:19:48 time: 0.2849 data_time: 0.0186 memory: 8198 grad_norm: 5.2817 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6091 loss: 1.6091 2022/08/03 02:14:07 - mmengine - INFO - Epoch(train) [79][1380/1879] lr: 1.0000e-02 eta: 1 day, 2:19:42 time: 0.2831 data_time: 0.0219 memory: 8198 grad_norm: 5.2495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4217 loss: 1.4217 2022/08/03 02:14:13 - mmengine - INFO - Epoch(train) [79][1400/1879] lr: 1.0000e-02 eta: 1 day, 2:19:36 time: 0.2851 data_time: 0.0203 memory: 8198 grad_norm: 5.4980 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6204 loss: 1.6204 2022/08/03 02:14:18 - mmengine - INFO - Epoch(train) [79][1420/1879] lr: 1.0000e-02 eta: 1 day, 2:19:31 time: 0.2840 data_time: 0.0237 memory: 8198 grad_norm: 5.1439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8096 loss: 1.8096 2022/08/03 02:14:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:14:24 - mmengine - INFO - Epoch(train) [79][1440/1879] lr: 1.0000e-02 eta: 1 day, 2:19:26 time: 0.2994 data_time: 0.0218 memory: 8198 grad_norm: 5.3806 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6899 loss: 1.6899 2022/08/03 02:14:30 - mmengine - INFO - Epoch(train) [79][1460/1879] lr: 1.0000e-02 eta: 1 day, 2:19:20 time: 0.2788 data_time: 0.0239 memory: 8198 grad_norm: 5.3753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4140 loss: 1.4140 2022/08/03 02:14:36 - mmengine - INFO - Epoch(train) [79][1480/1879] lr: 1.0000e-02 eta: 1 day, 2:19:14 time: 0.2841 data_time: 0.0267 memory: 8198 grad_norm: 5.3583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/08/03 02:14:42 - mmengine - INFO - Epoch(train) [79][1500/1879] lr: 1.0000e-02 eta: 1 day, 2:19:09 time: 0.2976 data_time: 0.0245 memory: 8198 grad_norm: 5.1266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9220 loss: 1.9220 2022/08/03 02:14:47 - mmengine - INFO - Epoch(train) [79][1520/1879] lr: 1.0000e-02 eta: 1 day, 2:19:03 time: 0.2790 data_time: 0.0236 memory: 8198 grad_norm: 5.3595 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7375 loss: 1.7375 2022/08/03 02:14:53 - mmengine - INFO - Epoch(train) [79][1540/1879] lr: 1.0000e-02 eta: 1 day, 2:18:57 time: 0.2871 data_time: 0.0271 memory: 8198 grad_norm: 5.3515 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7283 loss: 1.7283 2022/08/03 02:14:58 - mmengine - INFO - Epoch(train) [79][1560/1879] lr: 1.0000e-02 eta: 1 day, 2:18:51 time: 0.2799 data_time: 0.0189 memory: 8198 grad_norm: 5.3285 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7108 loss: 1.7108 2022/08/03 02:15:04 - mmengine - INFO - Epoch(train) [79][1580/1879] lr: 1.0000e-02 eta: 1 day, 2:18:46 time: 0.2863 data_time: 0.0265 memory: 8198 grad_norm: 5.2742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7063 loss: 1.7063 2022/08/03 02:15:10 - mmengine - INFO - Epoch(train) [79][1600/1879] lr: 1.0000e-02 eta: 1 day, 2:18:40 time: 0.2853 data_time: 0.0206 memory: 8198 grad_norm: 5.3247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6244 loss: 1.6244 2022/08/03 02:15:16 - mmengine - INFO - Epoch(train) [79][1620/1879] lr: 1.0000e-02 eta: 1 day, 2:18:34 time: 0.2824 data_time: 0.0189 memory: 8198 grad_norm: 5.3835 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6038 loss: 1.6038 2022/08/03 02:15:21 - mmengine - INFO - Epoch(train) [79][1640/1879] lr: 1.0000e-02 eta: 1 day, 2:18:29 time: 0.2872 data_time: 0.0261 memory: 8198 grad_norm: 5.3292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3850 loss: 1.3850 2022/08/03 02:15:27 - mmengine - INFO - Epoch(train) [79][1660/1879] lr: 1.0000e-02 eta: 1 day, 2:18:23 time: 0.2830 data_time: 0.0223 memory: 8198 grad_norm: 5.1707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6333 loss: 1.6333 2022/08/03 02:15:33 - mmengine - INFO - Epoch(train) [79][1680/1879] lr: 1.0000e-02 eta: 1 day, 2:18:17 time: 0.2830 data_time: 0.0213 memory: 8198 grad_norm: 5.2722 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7261 loss: 1.7261 2022/08/03 02:15:39 - mmengine - INFO - Epoch(train) [79][1700/1879] lr: 1.0000e-02 eta: 1 day, 2:18:12 time: 0.2888 data_time: 0.0263 memory: 8198 grad_norm: 5.3165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6469 loss: 1.6469 2022/08/03 02:15:44 - mmengine - INFO - Epoch(train) [79][1720/1879] lr: 1.0000e-02 eta: 1 day, 2:18:06 time: 0.2819 data_time: 0.0209 memory: 8198 grad_norm: 5.2093 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5822 loss: 1.5822 2022/08/03 02:15:50 - mmengine - INFO - Epoch(train) [79][1740/1879] lr: 1.0000e-02 eta: 1 day, 2:18:00 time: 0.2811 data_time: 0.0226 memory: 8198 grad_norm: 5.5088 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7362 loss: 1.7362 2022/08/03 02:15:55 - mmengine - INFO - Epoch(train) [79][1760/1879] lr: 1.0000e-02 eta: 1 day, 2:17:54 time: 0.2838 data_time: 0.0246 memory: 8198 grad_norm: 5.3444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6304 loss: 1.6304 2022/08/03 02:16:01 - mmengine - INFO - Epoch(train) [79][1780/1879] lr: 1.0000e-02 eta: 1 day, 2:17:49 time: 0.2870 data_time: 0.0281 memory: 8198 grad_norm: 5.4620 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7076 loss: 1.7076 2022/08/03 02:16:07 - mmengine - INFO - Epoch(train) [79][1800/1879] lr: 1.0000e-02 eta: 1 day, 2:17:43 time: 0.2801 data_time: 0.0219 memory: 8198 grad_norm: 5.3310 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5938 loss: 1.5938 2022/08/03 02:16:13 - mmengine - INFO - Epoch(train) [79][1820/1879] lr: 1.0000e-02 eta: 1 day, 2:17:37 time: 0.2857 data_time: 0.0225 memory: 8198 grad_norm: 5.1232 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5927 loss: 1.5927 2022/08/03 02:16:18 - mmengine - INFO - Epoch(train) [79][1840/1879] lr: 1.0000e-02 eta: 1 day, 2:17:32 time: 0.2838 data_time: 0.0244 memory: 8198 grad_norm: 5.3777 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7374 loss: 1.7374 2022/08/03 02:16:24 - mmengine - INFO - Epoch(train) [79][1860/1879] lr: 1.0000e-02 eta: 1 day, 2:17:26 time: 0.2836 data_time: 0.0268 memory: 8198 grad_norm: 5.2934 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5018 loss: 1.5018 2022/08/03 02:16:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:16:29 - mmengine - INFO - Epoch(train) [79][1879/1879] lr: 1.0000e-02 eta: 1 day, 2:17:26 time: 0.2559 data_time: 0.0151 memory: 8198 grad_norm: 5.5216 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.6716 loss: 1.6716 2022/08/03 02:16:38 - mmengine - INFO - Epoch(train) [80][20/1879] lr: 1.0000e-02 eta: 1 day, 2:17:10 time: 0.4478 data_time: 0.1824 memory: 8198 grad_norm: 5.2483 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4817 loss: 1.4817 2022/08/03 02:16:43 - mmengine - INFO - Epoch(train) [80][40/1879] lr: 1.0000e-02 eta: 1 day, 2:17:04 time: 0.2824 data_time: 0.0207 memory: 8198 grad_norm: 5.3282 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6013 loss: 1.6013 2022/08/03 02:16:49 - mmengine - INFO - Epoch(train) [80][60/1879] lr: 1.0000e-02 eta: 1 day, 2:16:58 time: 0.2842 data_time: 0.0205 memory: 8198 grad_norm: 5.2806 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6025 loss: 1.6025 2022/08/03 02:16:55 - mmengine - INFO - Epoch(train) [80][80/1879] lr: 1.0000e-02 eta: 1 day, 2:16:53 time: 0.2834 data_time: 0.0217 memory: 8198 grad_norm: 5.3076 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7113 loss: 1.7113 2022/08/03 02:17:00 - mmengine - INFO - Epoch(train) [80][100/1879] lr: 1.0000e-02 eta: 1 day, 2:16:47 time: 0.2794 data_time: 0.0211 memory: 8198 grad_norm: 5.1557 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3720 loss: 1.3720 2022/08/03 02:17:06 - mmengine - INFO - Epoch(train) [80][120/1879] lr: 1.0000e-02 eta: 1 day, 2:16:41 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 5.3147 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7986 loss: 1.7986 2022/08/03 02:17:12 - mmengine - INFO - Epoch(train) [80][140/1879] lr: 1.0000e-02 eta: 1 day, 2:16:36 time: 0.2878 data_time: 0.0202 memory: 8198 grad_norm: 5.2214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4845 loss: 1.4845 2022/08/03 02:17:18 - mmengine - INFO - Epoch(train) [80][160/1879] lr: 1.0000e-02 eta: 1 day, 2:16:30 time: 0.2820 data_time: 0.0218 memory: 8198 grad_norm: 5.2070 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6830 loss: 1.6830 2022/08/03 02:17:23 - mmengine - INFO - Epoch(train) [80][180/1879] lr: 1.0000e-02 eta: 1 day, 2:16:24 time: 0.2829 data_time: 0.0238 memory: 8198 grad_norm: 5.2680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6264 loss: 1.6264 2022/08/03 02:17:29 - mmengine - INFO - Epoch(train) [80][200/1879] lr: 1.0000e-02 eta: 1 day, 2:16:18 time: 0.2882 data_time: 0.0293 memory: 8198 grad_norm: 5.3490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8973 loss: 1.8973 2022/08/03 02:17:35 - mmengine - INFO - Epoch(train) [80][220/1879] lr: 1.0000e-02 eta: 1 day, 2:16:13 time: 0.2847 data_time: 0.0198 memory: 8198 grad_norm: 5.2221 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6840 loss: 1.6840 2022/08/03 02:17:40 - mmengine - INFO - Epoch(train) [80][240/1879] lr: 1.0000e-02 eta: 1 day, 2:16:07 time: 0.2831 data_time: 0.0231 memory: 8198 grad_norm: 5.2849 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4795 loss: 1.4795 2022/08/03 02:17:46 - mmengine - INFO - Epoch(train) [80][260/1879] lr: 1.0000e-02 eta: 1 day, 2:16:01 time: 0.2850 data_time: 0.0248 memory: 8198 grad_norm: 5.1816 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5695 loss: 1.5695 2022/08/03 02:17:52 - mmengine - INFO - Epoch(train) [80][280/1879] lr: 1.0000e-02 eta: 1 day, 2:15:56 time: 0.2881 data_time: 0.0276 memory: 8198 grad_norm: 5.3292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5804 loss: 1.5804 2022/08/03 02:17:58 - mmengine - INFO - Epoch(train) [80][300/1879] lr: 1.0000e-02 eta: 1 day, 2:15:50 time: 0.2819 data_time: 0.0237 memory: 8198 grad_norm: 5.2308 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2797 loss: 1.2797 2022/08/03 02:18:03 - mmengine - INFO - Epoch(train) [80][320/1879] lr: 1.0000e-02 eta: 1 day, 2:15:44 time: 0.2871 data_time: 0.0244 memory: 8198 grad_norm: 5.2430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7334 loss: 1.7334 2022/08/03 02:18:09 - mmengine - INFO - Epoch(train) [80][340/1879] lr: 1.0000e-02 eta: 1 day, 2:15:39 time: 0.2841 data_time: 0.0207 memory: 8198 grad_norm: 5.3284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5918 loss: 1.5918 2022/08/03 02:18:15 - mmengine - INFO - Epoch(train) [80][360/1879] lr: 1.0000e-02 eta: 1 day, 2:15:33 time: 0.2863 data_time: 0.0232 memory: 8198 grad_norm: 5.4467 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6170 loss: 1.6170 2022/08/03 02:18:20 - mmengine - INFO - Epoch(train) [80][380/1879] lr: 1.0000e-02 eta: 1 day, 2:15:27 time: 0.2867 data_time: 0.0192 memory: 8198 grad_norm: 5.5026 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6102 loss: 1.6102 2022/08/03 02:18:26 - mmengine - INFO - Epoch(train) [80][400/1879] lr: 1.0000e-02 eta: 1 day, 2:15:22 time: 0.2871 data_time: 0.0254 memory: 8198 grad_norm: 5.4828 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7343 loss: 1.7343 2022/08/03 02:18:32 - mmengine - INFO - Epoch(train) [80][420/1879] lr: 1.0000e-02 eta: 1 day, 2:15:16 time: 0.2895 data_time: 0.0229 memory: 8198 grad_norm: 5.2410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5861 loss: 1.5861 2022/08/03 02:18:38 - mmengine - INFO - Epoch(train) [80][440/1879] lr: 1.0000e-02 eta: 1 day, 2:15:11 time: 0.2838 data_time: 0.0247 memory: 8198 grad_norm: 5.3076 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7061 loss: 1.7061 2022/08/03 02:18:43 - mmengine - INFO - Epoch(train) [80][460/1879] lr: 1.0000e-02 eta: 1 day, 2:15:05 time: 0.2853 data_time: 0.0229 memory: 8198 grad_norm: 5.1364 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/08/03 02:18:49 - mmengine - INFO - Epoch(train) [80][480/1879] lr: 1.0000e-02 eta: 1 day, 2:14:59 time: 0.2855 data_time: 0.0204 memory: 8198 grad_norm: 5.5255 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7942 loss: 1.7942 2022/08/03 02:18:55 - mmengine - INFO - Epoch(train) [80][500/1879] lr: 1.0000e-02 eta: 1 day, 2:14:54 time: 0.2840 data_time: 0.0161 memory: 8198 grad_norm: 5.2386 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6630 loss: 1.6630 2022/08/03 02:19:01 - mmengine - INFO - Epoch(train) [80][520/1879] lr: 1.0000e-02 eta: 1 day, 2:14:48 time: 0.2835 data_time: 0.0218 memory: 8198 grad_norm: 5.4760 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5716 loss: 1.5716 2022/08/03 02:19:06 - mmengine - INFO - Epoch(train) [80][540/1879] lr: 1.0000e-02 eta: 1 day, 2:14:42 time: 0.2845 data_time: 0.0264 memory: 8198 grad_norm: 5.4157 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8262 loss: 1.8262 2022/08/03 02:19:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:19:12 - mmengine - INFO - Epoch(train) [80][560/1879] lr: 1.0000e-02 eta: 1 day, 2:14:37 time: 0.2916 data_time: 0.0230 memory: 8198 grad_norm: 5.3322 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6596 loss: 1.6596 2022/08/03 02:19:18 - mmengine - INFO - Epoch(train) [80][580/1879] lr: 1.0000e-02 eta: 1 day, 2:14:31 time: 0.2812 data_time: 0.0239 memory: 8198 grad_norm: 5.4685 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6894 loss: 1.6894 2022/08/03 02:19:23 - mmengine - INFO - Epoch(train) [80][600/1879] lr: 1.0000e-02 eta: 1 day, 2:14:25 time: 0.2816 data_time: 0.0253 memory: 8198 grad_norm: 5.2358 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4997 loss: 1.4997 2022/08/03 02:19:29 - mmengine - INFO - Epoch(train) [80][620/1879] lr: 1.0000e-02 eta: 1 day, 2:14:19 time: 0.2819 data_time: 0.0226 memory: 8198 grad_norm: 5.3231 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5590 loss: 1.5590 2022/08/03 02:19:35 - mmengine - INFO - Epoch(train) [80][640/1879] lr: 1.0000e-02 eta: 1 day, 2:14:14 time: 0.2819 data_time: 0.0200 memory: 8198 grad_norm: 5.4413 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6429 loss: 1.6429 2022/08/03 02:19:40 - mmengine - INFO - Epoch(train) [80][660/1879] lr: 1.0000e-02 eta: 1 day, 2:14:08 time: 0.2844 data_time: 0.0234 memory: 8198 grad_norm: 5.4828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7786 loss: 1.7786 2022/08/03 02:19:46 - mmengine - INFO - Epoch(train) [80][680/1879] lr: 1.0000e-02 eta: 1 day, 2:14:02 time: 0.2895 data_time: 0.0243 memory: 8198 grad_norm: 5.4020 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6686 loss: 1.6686 2022/08/03 02:19:52 - mmengine - INFO - Epoch(train) [80][700/1879] lr: 1.0000e-02 eta: 1 day, 2:13:57 time: 0.2831 data_time: 0.0225 memory: 8198 grad_norm: 5.4398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6851 loss: 1.6851 2022/08/03 02:19:58 - mmengine - INFO - Epoch(train) [80][720/1879] lr: 1.0000e-02 eta: 1 day, 2:13:51 time: 0.2853 data_time: 0.0242 memory: 8198 grad_norm: 5.3609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7200 loss: 1.7200 2022/08/03 02:20:03 - mmengine - INFO - Epoch(train) [80][740/1879] lr: 1.0000e-02 eta: 1 day, 2:13:46 time: 0.2906 data_time: 0.0285 memory: 8198 grad_norm: 5.4164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7490 loss: 1.7490 2022/08/03 02:20:09 - mmengine - INFO - Epoch(train) [80][760/1879] lr: 1.0000e-02 eta: 1 day, 2:13:40 time: 0.2876 data_time: 0.0199 memory: 8198 grad_norm: 5.2982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7362 loss: 1.7362 2022/08/03 02:20:15 - mmengine - INFO - Epoch(train) [80][780/1879] lr: 1.0000e-02 eta: 1 day, 2:13:34 time: 0.2827 data_time: 0.0194 memory: 8198 grad_norm: 5.4387 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8381 loss: 1.8381 2022/08/03 02:20:21 - mmengine - INFO - Epoch(train) [80][800/1879] lr: 1.0000e-02 eta: 1 day, 2:13:29 time: 0.2874 data_time: 0.0297 memory: 8198 grad_norm: 5.2285 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7191 loss: 1.7191 2022/08/03 02:20:26 - mmengine - INFO - Epoch(train) [80][820/1879] lr: 1.0000e-02 eta: 1 day, 2:13:23 time: 0.2905 data_time: 0.0235 memory: 8198 grad_norm: 5.4162 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6833 loss: 1.6833 2022/08/03 02:20:32 - mmengine - INFO - Epoch(train) [80][840/1879] lr: 1.0000e-02 eta: 1 day, 2:13:18 time: 0.2905 data_time: 0.0247 memory: 8198 grad_norm: 5.2647 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5855 loss: 1.5855 2022/08/03 02:20:38 - mmengine - INFO - Epoch(train) [80][860/1879] lr: 1.0000e-02 eta: 1 day, 2:13:12 time: 0.2815 data_time: 0.0238 memory: 8198 grad_norm: 5.3948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6609 loss: 1.6609 2022/08/03 02:20:44 - mmengine - INFO - Epoch(train) [80][880/1879] lr: 1.0000e-02 eta: 1 day, 2:13:06 time: 0.2826 data_time: 0.0221 memory: 8198 grad_norm: 5.3467 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7788 loss: 1.7788 2022/08/03 02:20:49 - mmengine - INFO - Epoch(train) [80][900/1879] lr: 1.0000e-02 eta: 1 day, 2:13:00 time: 0.2811 data_time: 0.0194 memory: 8198 grad_norm: 5.2012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5821 loss: 1.5821 2022/08/03 02:20:55 - mmengine - INFO - Epoch(train) [80][920/1879] lr: 1.0000e-02 eta: 1 day, 2:12:55 time: 0.2867 data_time: 0.0201 memory: 8198 grad_norm: 5.1692 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5694 loss: 1.5694 2022/08/03 02:21:01 - mmengine - INFO - Epoch(train) [80][940/1879] lr: 1.0000e-02 eta: 1 day, 2:12:49 time: 0.2831 data_time: 0.0251 memory: 8198 grad_norm: 5.3372 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4843 loss: 1.4843 2022/08/03 02:21:06 - mmengine - INFO - Epoch(train) [80][960/1879] lr: 1.0000e-02 eta: 1 day, 2:12:43 time: 0.2841 data_time: 0.0238 memory: 8198 grad_norm: 5.3543 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6108 loss: 1.6108 2022/08/03 02:21:12 - mmengine - INFO - Epoch(train) [80][980/1879] lr: 1.0000e-02 eta: 1 day, 2:12:38 time: 0.2893 data_time: 0.0286 memory: 8198 grad_norm: 5.4148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8012 loss: 1.8012 2022/08/03 02:21:18 - mmengine - INFO - Epoch(train) [80][1000/1879] lr: 1.0000e-02 eta: 1 day, 2:12:32 time: 0.2826 data_time: 0.0248 memory: 8198 grad_norm: 5.2994 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8811 loss: 1.8811 2022/08/03 02:21:23 - mmengine - INFO - Epoch(train) [80][1020/1879] lr: 1.0000e-02 eta: 1 day, 2:12:26 time: 0.2856 data_time: 0.0257 memory: 8198 grad_norm: 5.3042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/08/03 02:21:29 - mmengine - INFO - Epoch(train) [80][1040/1879] lr: 1.0000e-02 eta: 1 day, 2:12:21 time: 0.2838 data_time: 0.0243 memory: 8198 grad_norm: 5.2893 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7058 loss: 1.7058 2022/08/03 02:21:35 - mmengine - INFO - Epoch(train) [80][1060/1879] lr: 1.0000e-02 eta: 1 day, 2:12:15 time: 0.2824 data_time: 0.0243 memory: 8198 grad_norm: 5.4452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/08/03 02:21:41 - mmengine - INFO - Epoch(train) [80][1080/1879] lr: 1.0000e-02 eta: 1 day, 2:12:09 time: 0.2839 data_time: 0.0211 memory: 8198 grad_norm: 5.4298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6248 loss: 1.6248 2022/08/03 02:21:46 - mmengine - INFO - Epoch(train) [80][1100/1879] lr: 1.0000e-02 eta: 1 day, 2:12:03 time: 0.2834 data_time: 0.0216 memory: 8198 grad_norm: 5.3353 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4761 loss: 1.4761 2022/08/03 02:21:52 - mmengine - INFO - Epoch(train) [80][1120/1879] lr: 1.0000e-02 eta: 1 day, 2:11:58 time: 0.2877 data_time: 0.0209 memory: 8198 grad_norm: 5.4599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7208 loss: 1.7208 2022/08/03 02:21:58 - mmengine - INFO - Epoch(train) [80][1140/1879] lr: 1.0000e-02 eta: 1 day, 2:11:52 time: 0.2843 data_time: 0.0238 memory: 8198 grad_norm: 5.4073 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6014 loss: 1.6014 2022/08/03 02:22:04 - mmengine - INFO - Epoch(train) [80][1160/1879] lr: 1.0000e-02 eta: 1 day, 2:11:47 time: 0.2960 data_time: 0.0227 memory: 8198 grad_norm: 5.4169 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5632 loss: 1.5632 2022/08/03 02:22:09 - mmengine - INFO - Epoch(train) [80][1180/1879] lr: 1.0000e-02 eta: 1 day, 2:11:41 time: 0.2834 data_time: 0.0244 memory: 8198 grad_norm: 5.2051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6944 loss: 1.6944 2022/08/03 02:22:15 - mmengine - INFO - Epoch(train) [80][1200/1879] lr: 1.0000e-02 eta: 1 day, 2:11:35 time: 0.2825 data_time: 0.0245 memory: 8198 grad_norm: 5.4742 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6431 loss: 1.6431 2022/08/03 02:22:21 - mmengine - INFO - Epoch(train) [80][1220/1879] lr: 1.0000e-02 eta: 1 day, 2:11:30 time: 0.2849 data_time: 0.0266 memory: 8198 grad_norm: 5.3423 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9003 loss: 1.9003 2022/08/03 02:22:26 - mmengine - INFO - Epoch(train) [80][1240/1879] lr: 1.0000e-02 eta: 1 day, 2:11:24 time: 0.2840 data_time: 0.0215 memory: 8198 grad_norm: 5.1623 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7473 loss: 1.7473 2022/08/03 02:22:32 - mmengine - INFO - Epoch(train) [80][1260/1879] lr: 1.0000e-02 eta: 1 day, 2:11:19 time: 0.2911 data_time: 0.0216 memory: 8198 grad_norm: 5.4096 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6213 loss: 1.6213 2022/08/03 02:22:38 - mmengine - INFO - Epoch(train) [80][1280/1879] lr: 1.0000e-02 eta: 1 day, 2:11:13 time: 0.2837 data_time: 0.0202 memory: 8198 grad_norm: 5.3909 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8395 loss: 1.8395 2022/08/03 02:22:44 - mmengine - INFO - Epoch(train) [80][1300/1879] lr: 1.0000e-02 eta: 1 day, 2:11:07 time: 0.2853 data_time: 0.0251 memory: 8198 grad_norm: 5.1719 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6466 loss: 1.6466 2022/08/03 02:22:49 - mmengine - INFO - Epoch(train) [80][1320/1879] lr: 1.0000e-02 eta: 1 day, 2:11:01 time: 0.2818 data_time: 0.0206 memory: 8198 grad_norm: 5.2254 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7302 loss: 1.7302 2022/08/03 02:22:55 - mmengine - INFO - Epoch(train) [80][1340/1879] lr: 1.0000e-02 eta: 1 day, 2:10:56 time: 0.2827 data_time: 0.0218 memory: 8198 grad_norm: 5.3506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6069 loss: 1.6069 2022/08/03 02:23:01 - mmengine - INFO - Epoch(train) [80][1360/1879] lr: 1.0000e-02 eta: 1 day, 2:10:50 time: 0.2815 data_time: 0.0235 memory: 8198 grad_norm: 5.2970 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6745 loss: 1.6745 2022/08/03 02:23:06 - mmengine - INFO - Epoch(train) [80][1380/1879] lr: 1.0000e-02 eta: 1 day, 2:10:44 time: 0.2880 data_time: 0.0206 memory: 8198 grad_norm: 5.3585 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4659 loss: 1.4659 2022/08/03 02:23:12 - mmengine - INFO - Epoch(train) [80][1400/1879] lr: 1.0000e-02 eta: 1 day, 2:10:39 time: 0.2955 data_time: 0.0288 memory: 8198 grad_norm: 5.3474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6176 loss: 1.6176 2022/08/03 02:23:18 - mmengine - INFO - Epoch(train) [80][1420/1879] lr: 1.0000e-02 eta: 1 day, 2:10:33 time: 0.2802 data_time: 0.0199 memory: 8198 grad_norm: 5.4565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4206 loss: 1.4206 2022/08/03 02:23:24 - mmengine - INFO - Epoch(train) [80][1440/1879] lr: 1.0000e-02 eta: 1 day, 2:10:28 time: 0.2833 data_time: 0.0198 memory: 8198 grad_norm: 5.4262 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9430 loss: 1.9430 2022/08/03 02:23:29 - mmengine - INFO - Epoch(train) [80][1460/1879] lr: 1.0000e-02 eta: 1 day, 2:10:22 time: 0.2815 data_time: 0.0225 memory: 8198 grad_norm: 5.3453 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7941 loss: 1.7941 2022/08/03 02:23:35 - mmengine - INFO - Epoch(train) [80][1480/1879] lr: 1.0000e-02 eta: 1 day, 2:10:16 time: 0.2912 data_time: 0.0197 memory: 8198 grad_norm: 5.3456 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5917 loss: 1.5917 2022/08/03 02:23:41 - mmengine - INFO - Epoch(train) [80][1500/1879] lr: 1.0000e-02 eta: 1 day, 2:10:10 time: 0.2805 data_time: 0.0265 memory: 8198 grad_norm: 5.4738 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7914 loss: 1.7914 2022/08/03 02:23:46 - mmengine - INFO - Epoch(train) [80][1520/1879] lr: 1.0000e-02 eta: 1 day, 2:10:05 time: 0.2860 data_time: 0.0283 memory: 8198 grad_norm: 5.3079 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8482 loss: 1.8482 2022/08/03 02:23:52 - mmengine - INFO - Epoch(train) [80][1540/1879] lr: 1.0000e-02 eta: 1 day, 2:10:00 time: 0.2986 data_time: 0.0246 memory: 8198 grad_norm: 5.3918 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6751 loss: 1.6751 2022/08/03 02:23:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:23:58 - mmengine - INFO - Epoch(train) [80][1560/1879] lr: 1.0000e-02 eta: 1 day, 2:09:54 time: 0.2782 data_time: 0.0225 memory: 8198 grad_norm: 5.2402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5950 loss: 1.5950 2022/08/03 02:24:04 - mmengine - INFO - Epoch(train) [80][1580/1879] lr: 1.0000e-02 eta: 1 day, 2:09:48 time: 0.2856 data_time: 0.0245 memory: 8198 grad_norm: 5.2517 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6276 loss: 1.6276 2022/08/03 02:24:10 - mmengine - INFO - Epoch(train) [80][1600/1879] lr: 1.0000e-02 eta: 1 day, 2:09:43 time: 0.3005 data_time: 0.0277 memory: 8198 grad_norm: 5.4632 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7231 loss: 1.7231 2022/08/03 02:24:15 - mmengine - INFO - Epoch(train) [80][1620/1879] lr: 1.0000e-02 eta: 1 day, 2:09:37 time: 0.2809 data_time: 0.0220 memory: 8198 grad_norm: 5.4374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8016 loss: 1.8016 2022/08/03 02:24:21 - mmengine - INFO - Epoch(train) [80][1640/1879] lr: 1.0000e-02 eta: 1 day, 2:09:31 time: 0.2822 data_time: 0.0228 memory: 8198 grad_norm: 5.4141 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5896 loss: 1.5896 2022/08/03 02:24:27 - mmengine - INFO - Epoch(train) [80][1660/1879] lr: 1.0000e-02 eta: 1 day, 2:09:26 time: 0.2834 data_time: 0.0249 memory: 8198 grad_norm: 5.3358 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/08/03 02:24:33 - mmengine - INFO - Epoch(train) [80][1680/1879] lr: 1.0000e-02 eta: 1 day, 2:09:20 time: 0.2931 data_time: 0.0233 memory: 8198 grad_norm: 5.2987 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7836 loss: 1.7836 2022/08/03 02:24:38 - mmengine - INFO - Epoch(train) [80][1700/1879] lr: 1.0000e-02 eta: 1 day, 2:09:15 time: 0.2832 data_time: 0.0219 memory: 8198 grad_norm: 5.4735 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8848 loss: 1.8848 2022/08/03 02:24:44 - mmengine - INFO - Epoch(train) [80][1720/1879] lr: 1.0000e-02 eta: 1 day, 2:09:09 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 5.4088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5695 loss: 1.5695 2022/08/03 02:24:50 - mmengine - INFO - Epoch(train) [80][1740/1879] lr: 1.0000e-02 eta: 1 day, 2:09:03 time: 0.2819 data_time: 0.0246 memory: 8198 grad_norm: 5.5864 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7603 loss: 1.7603 2022/08/03 02:24:55 - mmengine - INFO - Epoch(train) [80][1760/1879] lr: 1.0000e-02 eta: 1 day, 2:08:57 time: 0.2850 data_time: 0.0208 memory: 8198 grad_norm: 5.3814 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5381 loss: 1.5381 2022/08/03 02:25:01 - mmengine - INFO - Epoch(train) [80][1780/1879] lr: 1.0000e-02 eta: 1 day, 2:08:52 time: 0.2823 data_time: 0.0247 memory: 8198 grad_norm: 5.3410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8271 loss: 1.8271 2022/08/03 02:25:07 - mmengine - INFO - Epoch(train) [80][1800/1879] lr: 1.0000e-02 eta: 1 day, 2:08:46 time: 0.2837 data_time: 0.0214 memory: 8198 grad_norm: 5.3444 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/08/03 02:25:12 - mmengine - INFO - Epoch(train) [80][1820/1879] lr: 1.0000e-02 eta: 1 day, 2:08:40 time: 0.2838 data_time: 0.0221 memory: 8198 grad_norm: 5.2070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5926 loss: 1.5926 2022/08/03 02:25:18 - mmengine - INFO - Epoch(train) [80][1840/1879] lr: 1.0000e-02 eta: 1 day, 2:08:35 time: 0.2871 data_time: 0.0255 memory: 8198 grad_norm: 5.3899 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8943 loss: 1.8943 2022/08/03 02:25:24 - mmengine - INFO - Epoch(train) [80][1860/1879] lr: 1.0000e-02 eta: 1 day, 2:08:29 time: 0.2848 data_time: 0.0268 memory: 8198 grad_norm: 5.4189 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6122 loss: 1.6122 2022/08/03 02:25:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:25:29 - mmengine - INFO - Epoch(train) [80][1879/1879] lr: 1.0000e-02 eta: 1 day, 2:08:29 time: 0.2569 data_time: 0.0132 memory: 8198 grad_norm: 5.5141 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.6938 loss: 1.6938 2022/08/03 02:25:29 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/03 02:25:38 - mmengine - INFO - Epoch(val) [80][20/155] eta: 0:00:45 time: 0.3357 data_time: 0.2503 memory: 1514 2022/08/03 02:25:43 - mmengine - INFO - Epoch(val) [80][40/155] eta: 0:00:27 time: 0.2387 data_time: 0.1528 memory: 1514 2022/08/03 02:25:49 - mmengine - INFO - Epoch(val) [80][60/155] eta: 0:00:26 time: 0.2839 data_time: 0.1959 memory: 1514 2022/08/03 02:25:53 - mmengine - INFO - Epoch(val) [80][80/155] eta: 0:00:17 time: 0.2341 data_time: 0.1481 memory: 1514 2022/08/03 02:25:59 - mmengine - INFO - Epoch(val) [80][100/155] eta: 0:00:16 time: 0.3055 data_time: 0.2151 memory: 1514 2022/08/03 02:26:04 - mmengine - INFO - Epoch(val) [80][120/155] eta: 0:00:08 time: 0.2332 data_time: 0.1457 memory: 1514 2022/08/03 02:26:10 - mmengine - INFO - Epoch(val) [80][140/155] eta: 0:00:04 time: 0.2930 data_time: 0.2121 memory: 1514 2022/08/03 02:26:15 - mmengine - INFO - Epoch(val) [80][155/155] acc/top1: 0.6352 acc/top5: 0.8473 acc/mean1: 0.6351 2022/08/03 02:26:22 - mmengine - INFO - Epoch(train) [81][20/1879] lr: 1.0000e-02 eta: 1 day, 2:08:11 time: 0.3914 data_time: 0.0870 memory: 8198 grad_norm: 5.3033 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7739 loss: 1.7739 2022/08/03 02:26:29 - mmengine - INFO - Epoch(train) [81][40/1879] lr: 1.0000e-02 eta: 1 day, 2:08:07 time: 0.3194 data_time: 0.0187 memory: 8198 grad_norm: 5.3564 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/08/03 02:26:35 - mmengine - INFO - Epoch(train) [81][60/1879] lr: 1.0000e-02 eta: 1 day, 2:08:01 time: 0.2894 data_time: 0.0249 memory: 8198 grad_norm: 5.1791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5548 loss: 1.5548 2022/08/03 02:26:40 - mmengine - INFO - Epoch(train) [81][80/1879] lr: 1.0000e-02 eta: 1 day, 2:07:55 time: 0.2836 data_time: 0.0228 memory: 8198 grad_norm: 5.1540 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5896 loss: 1.5896 2022/08/03 02:26:46 - mmengine - INFO - Epoch(train) [81][100/1879] lr: 1.0000e-02 eta: 1 day, 2:07:49 time: 0.2806 data_time: 0.0209 memory: 8198 grad_norm: 5.3242 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5572 loss: 1.5572 2022/08/03 02:26:52 - mmengine - INFO - Epoch(train) [81][120/1879] lr: 1.0000e-02 eta: 1 day, 2:07:44 time: 0.2816 data_time: 0.0213 memory: 8198 grad_norm: 5.2590 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6562 loss: 1.6562 2022/08/03 02:26:57 - mmengine - INFO - Epoch(train) [81][140/1879] lr: 1.0000e-02 eta: 1 day, 2:07:38 time: 0.2898 data_time: 0.0233 memory: 8198 grad_norm: 5.1641 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7215 loss: 1.7215 2022/08/03 02:27:03 - mmengine - INFO - Epoch(train) [81][160/1879] lr: 1.0000e-02 eta: 1 day, 2:07:33 time: 0.2853 data_time: 0.0227 memory: 8198 grad_norm: 5.0933 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6574 loss: 1.6574 2022/08/03 02:27:09 - mmengine - INFO - Epoch(train) [81][180/1879] lr: 1.0000e-02 eta: 1 day, 2:07:27 time: 0.2862 data_time: 0.0241 memory: 8198 grad_norm: 5.3762 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5264 loss: 1.5264 2022/08/03 02:27:15 - mmengine - INFO - Epoch(train) [81][200/1879] lr: 1.0000e-02 eta: 1 day, 2:07:21 time: 0.2872 data_time: 0.0252 memory: 8198 grad_norm: 5.3469 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6310 loss: 1.6310 2022/08/03 02:27:20 - mmengine - INFO - Epoch(train) [81][220/1879] lr: 1.0000e-02 eta: 1 day, 2:07:16 time: 0.2851 data_time: 0.0219 memory: 8198 grad_norm: 5.1825 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7816 loss: 1.7816 2022/08/03 02:27:26 - mmengine - INFO - Epoch(train) [81][240/1879] lr: 1.0000e-02 eta: 1 day, 2:07:10 time: 0.2877 data_time: 0.0235 memory: 8198 grad_norm: 5.2735 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/08/03 02:27:32 - mmengine - INFO - Epoch(train) [81][260/1879] lr: 1.0000e-02 eta: 1 day, 2:07:04 time: 0.2851 data_time: 0.0231 memory: 8198 grad_norm: 5.0794 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6691 loss: 1.6691 2022/08/03 02:27:38 - mmengine - INFO - Epoch(train) [81][280/1879] lr: 1.0000e-02 eta: 1 day, 2:06:59 time: 0.2956 data_time: 0.0233 memory: 8198 grad_norm: 5.2965 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6394 loss: 1.6394 2022/08/03 02:27:44 - mmengine - INFO - Epoch(train) [81][300/1879] lr: 1.0000e-02 eta: 1 day, 2:06:53 time: 0.2831 data_time: 0.0244 memory: 8198 grad_norm: 5.3361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6769 loss: 1.6769 2022/08/03 02:27:49 - mmengine - INFO - Epoch(train) [81][320/1879] lr: 1.0000e-02 eta: 1 day, 2:06:48 time: 0.2901 data_time: 0.0293 memory: 8198 grad_norm: 5.2531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5468 loss: 1.5468 2022/08/03 02:27:55 - mmengine - INFO - Epoch(train) [81][340/1879] lr: 1.0000e-02 eta: 1 day, 2:06:43 time: 0.2973 data_time: 0.0210 memory: 8198 grad_norm: 5.2981 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7432 loss: 1.7432 2022/08/03 02:28:01 - mmengine - INFO - Epoch(train) [81][360/1879] lr: 1.0000e-02 eta: 1 day, 2:06:37 time: 0.2805 data_time: 0.0229 memory: 8198 grad_norm: 5.3328 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3934 loss: 1.3934 2022/08/03 02:28:07 - mmengine - INFO - Epoch(train) [81][380/1879] lr: 1.0000e-02 eta: 1 day, 2:06:31 time: 0.2878 data_time: 0.0245 memory: 8198 grad_norm: 5.5288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6242 loss: 1.6242 2022/08/03 02:28:13 - mmengine - INFO - Epoch(train) [81][400/1879] lr: 1.0000e-02 eta: 1 day, 2:06:26 time: 0.2973 data_time: 0.0201 memory: 8198 grad_norm: 5.2881 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6569 loss: 1.6569 2022/08/03 02:28:18 - mmengine - INFO - Epoch(train) [81][420/1879] lr: 1.0000e-02 eta: 1 day, 2:06:21 time: 0.2828 data_time: 0.0203 memory: 8198 grad_norm: 5.3699 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7466 loss: 1.7466 2022/08/03 02:28:24 - mmengine - INFO - Epoch(train) [81][440/1879] lr: 1.0000e-02 eta: 1 day, 2:06:15 time: 0.2933 data_time: 0.0242 memory: 8198 grad_norm: 5.4073 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7525 loss: 1.7525 2022/08/03 02:28:30 - mmengine - INFO - Epoch(train) [81][460/1879] lr: 1.0000e-02 eta: 1 day, 2:06:09 time: 0.2805 data_time: 0.0244 memory: 8198 grad_norm: 5.4277 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7161 loss: 1.7161 2022/08/03 02:28:35 - mmengine - INFO - Epoch(train) [81][480/1879] lr: 1.0000e-02 eta: 1 day, 2:06:04 time: 0.2796 data_time: 0.0206 memory: 8198 grad_norm: 5.3433 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8383 loss: 1.8383 2022/08/03 02:28:41 - mmengine - INFO - Epoch(train) [81][500/1879] lr: 1.0000e-02 eta: 1 day, 2:05:58 time: 0.2838 data_time: 0.0238 memory: 8198 grad_norm: 5.3761 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8841 loss: 1.8841 2022/08/03 02:28:47 - mmengine - INFO - Epoch(train) [81][520/1879] lr: 1.0000e-02 eta: 1 day, 2:05:53 time: 0.2995 data_time: 0.0216 memory: 8198 grad_norm: 5.1987 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6715 loss: 1.6715 2022/08/03 02:28:53 - mmengine - INFO - Epoch(train) [81][540/1879] lr: 1.0000e-02 eta: 1 day, 2:05:47 time: 0.2879 data_time: 0.0251 memory: 8198 grad_norm: 5.1917 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.6799 loss: 1.6799 2022/08/03 02:28:58 - mmengine - INFO - Epoch(train) [81][560/1879] lr: 1.0000e-02 eta: 1 day, 2:05:41 time: 0.2821 data_time: 0.0223 memory: 8198 grad_norm: 5.2434 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.4336 loss: 1.4336 2022/08/03 02:29:04 - mmengine - INFO - Epoch(train) [81][580/1879] lr: 1.0000e-02 eta: 1 day, 2:05:36 time: 0.2872 data_time: 0.0309 memory: 8198 grad_norm: 5.3697 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4454 loss: 1.4454 2022/08/03 02:29:10 - mmengine - INFO - Epoch(train) [81][600/1879] lr: 1.0000e-02 eta: 1 day, 2:05:30 time: 0.2833 data_time: 0.0207 memory: 8198 grad_norm: 5.3281 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5846 loss: 1.5846 2022/08/03 02:29:16 - mmengine - INFO - Epoch(train) [81][620/1879] lr: 1.0000e-02 eta: 1 day, 2:05:24 time: 0.2860 data_time: 0.0209 memory: 8198 grad_norm: 5.3113 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7160 loss: 1.7160 2022/08/03 02:29:21 - mmengine - INFO - Epoch(train) [81][640/1879] lr: 1.0000e-02 eta: 1 day, 2:05:19 time: 0.2824 data_time: 0.0204 memory: 8198 grad_norm: 5.4364 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8205 loss: 1.8205 2022/08/03 02:29:27 - mmengine - INFO - Epoch(train) [81][660/1879] lr: 1.0000e-02 eta: 1 day, 2:05:13 time: 0.2883 data_time: 0.0246 memory: 8198 grad_norm: 5.4362 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6102 loss: 1.6102 2022/08/03 02:29:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:29:33 - mmengine - INFO - Epoch(train) [81][680/1879] lr: 1.0000e-02 eta: 1 day, 2:05:07 time: 0.2840 data_time: 0.0237 memory: 8198 grad_norm: 5.2770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5645 loss: 1.5645 2022/08/03 02:29:38 - mmengine - INFO - Epoch(train) [81][700/1879] lr: 1.0000e-02 eta: 1 day, 2:05:02 time: 0.2861 data_time: 0.0257 memory: 8198 grad_norm: 5.5298 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6166 loss: 1.6166 2022/08/03 02:29:44 - mmengine - INFO - Epoch(train) [81][720/1879] lr: 1.0000e-02 eta: 1 day, 2:04:56 time: 0.2833 data_time: 0.0238 memory: 8198 grad_norm: 5.2457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6979 loss: 1.6979 2022/08/03 02:29:50 - mmengine - INFO - Epoch(train) [81][740/1879] lr: 1.0000e-02 eta: 1 day, 2:04:50 time: 0.2832 data_time: 0.0198 memory: 8198 grad_norm: 5.2281 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5607 loss: 1.5607 2022/08/03 02:29:55 - mmengine - INFO - Epoch(train) [81][760/1879] lr: 1.0000e-02 eta: 1 day, 2:04:44 time: 0.2796 data_time: 0.0206 memory: 8198 grad_norm: 5.4669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6245 loss: 1.6245 2022/08/03 02:30:01 - mmengine - INFO - Epoch(train) [81][780/1879] lr: 1.0000e-02 eta: 1 day, 2:04:39 time: 0.2838 data_time: 0.0236 memory: 8198 grad_norm: 5.3801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/08/03 02:30:07 - mmengine - INFO - Epoch(train) [81][800/1879] lr: 1.0000e-02 eta: 1 day, 2:04:33 time: 0.2883 data_time: 0.0206 memory: 8198 grad_norm: 5.3865 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7651 loss: 1.7651 2022/08/03 02:30:13 - mmengine - INFO - Epoch(train) [81][820/1879] lr: 1.0000e-02 eta: 1 day, 2:04:27 time: 0.2823 data_time: 0.0232 memory: 8198 grad_norm: 5.2887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6379 loss: 1.6379 2022/08/03 02:30:18 - mmengine - INFO - Epoch(train) [81][840/1879] lr: 1.0000e-02 eta: 1 day, 2:04:22 time: 0.2856 data_time: 0.0234 memory: 8198 grad_norm: 5.3676 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5426 loss: 1.5426 2022/08/03 02:30:24 - mmengine - INFO - Epoch(train) [81][860/1879] lr: 1.0000e-02 eta: 1 day, 2:04:17 time: 0.3011 data_time: 0.0226 memory: 8198 grad_norm: 5.2217 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5244 loss: 1.5244 2022/08/03 02:30:30 - mmengine - INFO - Epoch(train) [81][880/1879] lr: 1.0000e-02 eta: 1 day, 2:04:11 time: 0.2840 data_time: 0.0224 memory: 8198 grad_norm: 5.4170 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6802 loss: 1.6802 2022/08/03 02:30:36 - mmengine - INFO - Epoch(train) [81][900/1879] lr: 1.0000e-02 eta: 1 day, 2:04:05 time: 0.2847 data_time: 0.0180 memory: 8198 grad_norm: 5.3011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7403 loss: 1.7403 2022/08/03 02:30:41 - mmengine - INFO - Epoch(train) [81][920/1879] lr: 1.0000e-02 eta: 1 day, 2:04:00 time: 0.2819 data_time: 0.0213 memory: 8198 grad_norm: 5.3721 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7308 loss: 1.7308 2022/08/03 02:30:47 - mmengine - INFO - Epoch(train) [81][940/1879] lr: 1.0000e-02 eta: 1 day, 2:03:54 time: 0.2821 data_time: 0.0274 memory: 8198 grad_norm: 5.4076 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5962 loss: 1.5962 2022/08/03 02:30:53 - mmengine - INFO - Epoch(train) [81][960/1879] lr: 1.0000e-02 eta: 1 day, 2:03:48 time: 0.2838 data_time: 0.0195 memory: 8198 grad_norm: 5.4006 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.6329 loss: 1.6329 2022/08/03 02:30:58 - mmengine - INFO - Epoch(train) [81][980/1879] lr: 1.0000e-02 eta: 1 day, 2:03:42 time: 0.2828 data_time: 0.0220 memory: 8198 grad_norm: 5.2491 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4656 loss: 1.4656 2022/08/03 02:31:04 - mmengine - INFO - Epoch(train) [81][1000/1879] lr: 1.0000e-02 eta: 1 day, 2:03:36 time: 0.2824 data_time: 0.0225 memory: 8198 grad_norm: 5.1541 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/08/03 02:31:10 - mmengine - INFO - Epoch(train) [81][1020/1879] lr: 1.0000e-02 eta: 1 day, 2:03:31 time: 0.2846 data_time: 0.0217 memory: 8198 grad_norm: 5.4252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6424 loss: 1.6424 2022/08/03 02:31:15 - mmengine - INFO - Epoch(train) [81][1040/1879] lr: 1.0000e-02 eta: 1 day, 2:03:25 time: 0.2827 data_time: 0.0186 memory: 8198 grad_norm: 5.5679 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6076 loss: 1.6076 2022/08/03 02:31:21 - mmengine - INFO - Epoch(train) [81][1060/1879] lr: 1.0000e-02 eta: 1 day, 2:03:19 time: 0.2844 data_time: 0.0245 memory: 8198 grad_norm: 5.4105 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7470 loss: 1.7470 2022/08/03 02:31:27 - mmengine - INFO - Epoch(train) [81][1080/1879] lr: 1.0000e-02 eta: 1 day, 2:03:14 time: 0.2852 data_time: 0.0262 memory: 8198 grad_norm: 5.4217 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6859 loss: 1.6859 2022/08/03 02:31:33 - mmengine - INFO - Epoch(train) [81][1100/1879] lr: 1.0000e-02 eta: 1 day, 2:03:08 time: 0.2849 data_time: 0.0241 memory: 8198 grad_norm: 5.2466 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6667 loss: 1.6667 2022/08/03 02:31:38 - mmengine - INFO - Epoch(train) [81][1120/1879] lr: 1.0000e-02 eta: 1 day, 2:03:02 time: 0.2813 data_time: 0.0185 memory: 8198 grad_norm: 5.4060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5581 loss: 1.5581 2022/08/03 02:31:44 - mmengine - INFO - Epoch(train) [81][1140/1879] lr: 1.0000e-02 eta: 1 day, 2:02:57 time: 0.2868 data_time: 0.0248 memory: 8198 grad_norm: 5.2829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8068 loss: 1.8068 2022/08/03 02:31:50 - mmengine - INFO - Epoch(train) [81][1160/1879] lr: 1.0000e-02 eta: 1 day, 2:02:51 time: 0.2823 data_time: 0.0220 memory: 8198 grad_norm: 5.2067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8150 loss: 1.8150 2022/08/03 02:31:55 - mmengine - INFO - Epoch(train) [81][1180/1879] lr: 1.0000e-02 eta: 1 day, 2:02:45 time: 0.2862 data_time: 0.0254 memory: 8198 grad_norm: 5.2826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5233 loss: 1.5233 2022/08/03 02:32:01 - mmengine - INFO - Epoch(train) [81][1200/1879] lr: 1.0000e-02 eta: 1 day, 2:02:39 time: 0.2805 data_time: 0.0226 memory: 8198 grad_norm: 5.2683 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5054 loss: 1.5054 2022/08/03 02:32:07 - mmengine - INFO - Epoch(train) [81][1220/1879] lr: 1.0000e-02 eta: 1 day, 2:02:34 time: 0.2871 data_time: 0.0265 memory: 8198 grad_norm: 5.5304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8519 loss: 1.8519 2022/08/03 02:32:12 - mmengine - INFO - Epoch(train) [81][1240/1879] lr: 1.0000e-02 eta: 1 day, 2:02:28 time: 0.2828 data_time: 0.0204 memory: 8198 grad_norm: 5.3603 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8258 loss: 1.8258 2022/08/03 02:32:18 - mmengine - INFO - Epoch(train) [81][1260/1879] lr: 1.0000e-02 eta: 1 day, 2:02:22 time: 0.2845 data_time: 0.0220 memory: 8198 grad_norm: 5.3762 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5855 loss: 1.5855 2022/08/03 02:32:24 - mmengine - INFO - Epoch(train) [81][1280/1879] lr: 1.0000e-02 eta: 1 day, 2:02:16 time: 0.2831 data_time: 0.0221 memory: 8198 grad_norm: 5.3117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5788 loss: 1.5788 2022/08/03 02:32:29 - mmengine - INFO - Epoch(train) [81][1300/1879] lr: 1.0000e-02 eta: 1 day, 2:02:11 time: 0.2838 data_time: 0.0241 memory: 8198 grad_norm: 5.4431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5935 loss: 1.5935 2022/08/03 02:32:35 - mmengine - INFO - Epoch(train) [81][1320/1879] lr: 1.0000e-02 eta: 1 day, 2:02:05 time: 0.2830 data_time: 0.0171 memory: 8198 grad_norm: 5.2906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/08/03 02:32:41 - mmengine - INFO - Epoch(train) [81][1340/1879] lr: 1.0000e-02 eta: 1 day, 2:01:59 time: 0.2843 data_time: 0.0259 memory: 8198 grad_norm: 5.2908 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5309 loss: 1.5309 2022/08/03 02:32:47 - mmengine - INFO - Epoch(train) [81][1360/1879] lr: 1.0000e-02 eta: 1 day, 2:01:54 time: 0.2861 data_time: 0.0207 memory: 8198 grad_norm: 5.3519 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7070 loss: 1.7070 2022/08/03 02:32:52 - mmengine - INFO - Epoch(train) [81][1380/1879] lr: 1.0000e-02 eta: 1 day, 2:01:48 time: 0.2826 data_time: 0.0232 memory: 8198 grad_norm: 5.3108 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6959 loss: 1.6959 2022/08/03 02:32:58 - mmengine - INFO - Epoch(train) [81][1400/1879] lr: 1.0000e-02 eta: 1 day, 2:01:42 time: 0.2852 data_time: 0.0250 memory: 8198 grad_norm: 5.3555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6675 loss: 1.6675 2022/08/03 02:33:04 - mmengine - INFO - Epoch(train) [81][1420/1879] lr: 1.0000e-02 eta: 1 day, 2:01:37 time: 0.2877 data_time: 0.0261 memory: 8198 grad_norm: 5.3797 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7918 loss: 1.7918 2022/08/03 02:33:09 - mmengine - INFO - Epoch(train) [81][1440/1879] lr: 1.0000e-02 eta: 1 day, 2:01:31 time: 0.2857 data_time: 0.0203 memory: 8198 grad_norm: 5.3826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7802 loss: 1.7802 2022/08/03 02:33:15 - mmengine - INFO - Epoch(train) [81][1460/1879] lr: 1.0000e-02 eta: 1 day, 2:01:26 time: 0.2900 data_time: 0.0276 memory: 8198 grad_norm: 5.2640 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5204 loss: 1.5204 2022/08/03 02:33:21 - mmengine - INFO - Epoch(train) [81][1480/1879] lr: 1.0000e-02 eta: 1 day, 2:01:20 time: 0.2816 data_time: 0.0221 memory: 8198 grad_norm: 5.4342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6121 loss: 1.6121 2022/08/03 02:33:27 - mmengine - INFO - Epoch(train) [81][1500/1879] lr: 1.0000e-02 eta: 1 day, 2:01:14 time: 0.2838 data_time: 0.0213 memory: 8198 grad_norm: 5.3530 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7766 loss: 1.7766 2022/08/03 02:33:32 - mmengine - INFO - Epoch(train) [81][1520/1879] lr: 1.0000e-02 eta: 1 day, 2:01:08 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 5.4617 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3537 loss: 1.3537 2022/08/03 02:33:38 - mmengine - INFO - Epoch(train) [81][1540/1879] lr: 1.0000e-02 eta: 1 day, 2:01:03 time: 0.2877 data_time: 0.0255 memory: 8198 grad_norm: 5.3597 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7497 loss: 1.7497 2022/08/03 02:33:44 - mmengine - INFO - Epoch(train) [81][1560/1879] lr: 1.0000e-02 eta: 1 day, 2:00:57 time: 0.2842 data_time: 0.0250 memory: 8198 grad_norm: 5.3224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5998 loss: 1.5998 2022/08/03 02:33:49 - mmengine - INFO - Epoch(train) [81][1580/1879] lr: 1.0000e-02 eta: 1 day, 2:00:51 time: 0.2802 data_time: 0.0215 memory: 8198 grad_norm: 5.3340 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7953 loss: 1.7953 2022/08/03 02:33:55 - mmengine - INFO - Epoch(train) [81][1600/1879] lr: 1.0000e-02 eta: 1 day, 2:00:46 time: 0.2901 data_time: 0.0246 memory: 8198 grad_norm: 5.2639 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6416 loss: 1.6416 2022/08/03 02:34:01 - mmengine - INFO - Epoch(train) [81][1620/1879] lr: 1.0000e-02 eta: 1 day, 2:00:40 time: 0.2829 data_time: 0.0255 memory: 8198 grad_norm: 5.3783 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6257 loss: 1.6257 2022/08/03 02:34:07 - mmengine - INFO - Epoch(train) [81][1640/1879] lr: 1.0000e-02 eta: 1 day, 2:00:34 time: 0.2811 data_time: 0.0230 memory: 8198 grad_norm: 5.4420 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8851 loss: 1.8851 2022/08/03 02:34:12 - mmengine - INFO - Epoch(train) [81][1660/1879] lr: 1.0000e-02 eta: 1 day, 2:00:28 time: 0.2828 data_time: 0.0213 memory: 8198 grad_norm: 5.3044 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7450 loss: 1.7450 2022/08/03 02:34:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:34:18 - mmengine - INFO - Epoch(train) [81][1680/1879] lr: 1.0000e-02 eta: 1 day, 2:00:23 time: 0.2859 data_time: 0.0239 memory: 8198 grad_norm: 5.2992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7628 loss: 1.7628 2022/08/03 02:34:24 - mmengine - INFO - Epoch(train) [81][1700/1879] lr: 1.0000e-02 eta: 1 day, 2:00:17 time: 0.2819 data_time: 0.0218 memory: 8198 grad_norm: 5.4621 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8839 loss: 1.8839 2022/08/03 02:34:29 - mmengine - INFO - Epoch(train) [81][1720/1879] lr: 1.0000e-02 eta: 1 day, 2:00:11 time: 0.2814 data_time: 0.0208 memory: 8198 grad_norm: 5.3024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8213 loss: 1.8213 2022/08/03 02:34:35 - mmengine - INFO - Epoch(train) [81][1740/1879] lr: 1.0000e-02 eta: 1 day, 2:00:05 time: 0.2814 data_time: 0.0251 memory: 8198 grad_norm: 5.3121 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7473 loss: 1.7473 2022/08/03 02:34:41 - mmengine - INFO - Epoch(train) [81][1760/1879] lr: 1.0000e-02 eta: 1 day, 2:00:00 time: 0.2870 data_time: 0.0220 memory: 8198 grad_norm: 5.3741 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6718 loss: 1.6718 2022/08/03 02:34:46 - mmengine - INFO - Epoch(train) [81][1780/1879] lr: 1.0000e-02 eta: 1 day, 1:59:54 time: 0.2842 data_time: 0.0228 memory: 8198 grad_norm: 5.4473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6765 loss: 1.6765 2022/08/03 02:34:52 - mmengine - INFO - Epoch(train) [81][1800/1879] lr: 1.0000e-02 eta: 1 day, 1:59:48 time: 0.2838 data_time: 0.0194 memory: 8198 grad_norm: 5.2796 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5229 loss: 1.5229 2022/08/03 02:34:58 - mmengine - INFO - Epoch(train) [81][1820/1879] lr: 1.0000e-02 eta: 1 day, 1:59:43 time: 0.2856 data_time: 0.0238 memory: 8198 grad_norm: 5.3363 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6809 loss: 1.6809 2022/08/03 02:35:04 - mmengine - INFO - Epoch(train) [81][1840/1879] lr: 1.0000e-02 eta: 1 day, 1:59:38 time: 0.2991 data_time: 0.0239 memory: 8198 grad_norm: 5.3700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/08/03 02:35:09 - mmengine - INFO - Epoch(train) [81][1860/1879] lr: 1.0000e-02 eta: 1 day, 1:59:32 time: 0.2828 data_time: 0.0195 memory: 8198 grad_norm: 5.3197 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6862 loss: 1.6862 2022/08/03 02:35:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:35:14 - mmengine - INFO - Epoch(train) [81][1879/1879] lr: 1.0000e-02 eta: 1 day, 1:59:32 time: 0.2603 data_time: 0.0168 memory: 8198 grad_norm: 5.4474 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4826 loss: 1.4826 2022/08/03 02:35:23 - mmengine - INFO - Epoch(train) [82][20/1879] lr: 1.0000e-02 eta: 1 day, 1:59:15 time: 0.4156 data_time: 0.1211 memory: 8198 grad_norm: 5.1522 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5198 loss: 1.5198 2022/08/03 02:35:29 - mmengine - INFO - Epoch(train) [82][40/1879] lr: 1.0000e-02 eta: 1 day, 1:59:09 time: 0.2929 data_time: 0.0165 memory: 8198 grad_norm: 5.2308 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5403 loss: 1.5403 2022/08/03 02:35:34 - mmengine - INFO - Epoch(train) [82][60/1879] lr: 1.0000e-02 eta: 1 day, 1:59:04 time: 0.2923 data_time: 0.0217 memory: 8198 grad_norm: 5.2936 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4598 loss: 1.4598 2022/08/03 02:35:41 - mmengine - INFO - Epoch(train) [82][80/1879] lr: 1.0000e-02 eta: 1 day, 1:58:59 time: 0.3027 data_time: 0.0249 memory: 8198 grad_norm: 5.2081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6530 loss: 1.6530 2022/08/03 02:35:46 - mmengine - INFO - Epoch(train) [82][100/1879] lr: 1.0000e-02 eta: 1 day, 1:58:53 time: 0.2812 data_time: 0.0208 memory: 8198 grad_norm: 5.4737 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6202 loss: 1.6202 2022/08/03 02:35:52 - mmengine - INFO - Epoch(train) [82][120/1879] lr: 1.0000e-02 eta: 1 day, 1:58:47 time: 0.2839 data_time: 0.0248 memory: 8198 grad_norm: 5.2592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4656 loss: 1.4656 2022/08/03 02:35:58 - mmengine - INFO - Epoch(train) [82][140/1879] lr: 1.0000e-02 eta: 1 day, 1:58:42 time: 0.2898 data_time: 0.0274 memory: 8198 grad_norm: 5.3082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6100 loss: 1.6100 2022/08/03 02:36:03 - mmengine - INFO - Epoch(train) [82][160/1879] lr: 1.0000e-02 eta: 1 day, 1:58:36 time: 0.2851 data_time: 0.0224 memory: 8198 grad_norm: 5.3741 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5215 loss: 1.5215 2022/08/03 02:36:09 - mmengine - INFO - Epoch(train) [82][180/1879] lr: 1.0000e-02 eta: 1 day, 1:58:31 time: 0.2852 data_time: 0.0195 memory: 8198 grad_norm: 5.3624 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6455 loss: 1.6455 2022/08/03 02:36:15 - mmengine - INFO - Epoch(train) [82][200/1879] lr: 1.0000e-02 eta: 1 day, 1:58:25 time: 0.2853 data_time: 0.0212 memory: 8198 grad_norm: 5.2179 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7278 loss: 1.7278 2022/08/03 02:36:20 - mmengine - INFO - Epoch(train) [82][220/1879] lr: 1.0000e-02 eta: 1 day, 1:58:19 time: 0.2808 data_time: 0.0212 memory: 8198 grad_norm: 5.1250 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5266 loss: 1.5266 2022/08/03 02:36:26 - mmengine - INFO - Epoch(train) [82][240/1879] lr: 1.0000e-02 eta: 1 day, 1:58:13 time: 0.2835 data_time: 0.0231 memory: 8198 grad_norm: 5.4486 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4594 loss: 1.4594 2022/08/03 02:36:32 - mmengine - INFO - Epoch(train) [82][260/1879] lr: 1.0000e-02 eta: 1 day, 1:58:08 time: 0.2842 data_time: 0.0255 memory: 8198 grad_norm: 5.5535 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6347 loss: 1.6347 2022/08/03 02:36:38 - mmengine - INFO - Epoch(train) [82][280/1879] lr: 1.0000e-02 eta: 1 day, 1:58:02 time: 0.2924 data_time: 0.0197 memory: 8198 grad_norm: 5.3602 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/08/03 02:36:43 - mmengine - INFO - Epoch(train) [82][300/1879] lr: 1.0000e-02 eta: 1 day, 1:57:57 time: 0.2808 data_time: 0.0226 memory: 8198 grad_norm: 5.4059 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8976 loss: 1.8976 2022/08/03 02:36:49 - mmengine - INFO - Epoch(train) [82][320/1879] lr: 1.0000e-02 eta: 1 day, 1:57:51 time: 0.2801 data_time: 0.0221 memory: 8198 grad_norm: 5.3390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/08/03 02:36:55 - mmengine - INFO - Epoch(train) [82][340/1879] lr: 1.0000e-02 eta: 1 day, 1:57:45 time: 0.2858 data_time: 0.0212 memory: 8198 grad_norm: 5.4199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5929 loss: 1.5929 2022/08/03 02:37:00 - mmengine - INFO - Epoch(train) [82][360/1879] lr: 1.0000e-02 eta: 1 day, 1:57:39 time: 0.2853 data_time: 0.0244 memory: 8198 grad_norm: 5.3147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6535 loss: 1.6535 2022/08/03 02:37:06 - mmengine - INFO - Epoch(train) [82][380/1879] lr: 1.0000e-02 eta: 1 day, 1:57:34 time: 0.2810 data_time: 0.0244 memory: 8198 grad_norm: 5.5035 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8442 loss: 1.8442 2022/08/03 02:37:12 - mmengine - INFO - Epoch(train) [82][400/1879] lr: 1.0000e-02 eta: 1 day, 1:57:28 time: 0.2817 data_time: 0.0226 memory: 8198 grad_norm: 5.3773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6399 loss: 1.6399 2022/08/03 02:37:18 - mmengine - INFO - Epoch(train) [82][420/1879] lr: 1.0000e-02 eta: 1 day, 1:57:22 time: 0.2907 data_time: 0.0286 memory: 8198 grad_norm: 5.3600 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6240 loss: 1.6240 2022/08/03 02:37:23 - mmengine - INFO - Epoch(train) [82][440/1879] lr: 1.0000e-02 eta: 1 day, 1:57:16 time: 0.2812 data_time: 0.0228 memory: 8198 grad_norm: 5.5209 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8292 loss: 1.8292 2022/08/03 02:37:29 - mmengine - INFO - Epoch(train) [82][460/1879] lr: 1.0000e-02 eta: 1 day, 1:57:11 time: 0.2839 data_time: 0.0220 memory: 8198 grad_norm: 5.3485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6073 loss: 1.6073 2022/08/03 02:37:35 - mmengine - INFO - Epoch(train) [82][480/1879] lr: 1.0000e-02 eta: 1 day, 1:57:06 time: 0.3034 data_time: 0.0210 memory: 8198 grad_norm: 5.3297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6845 loss: 1.6845 2022/08/03 02:37:41 - mmengine - INFO - Epoch(train) [82][500/1879] lr: 1.0000e-02 eta: 1 day, 1:57:00 time: 0.2809 data_time: 0.0195 memory: 8198 grad_norm: 5.4287 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6220 loss: 1.6220 2022/08/03 02:37:46 - mmengine - INFO - Epoch(train) [82][520/1879] lr: 1.0000e-02 eta: 1 day, 1:56:54 time: 0.2869 data_time: 0.0288 memory: 8198 grad_norm: 5.4947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6649 loss: 1.6649 2022/08/03 02:37:52 - mmengine - INFO - Epoch(train) [82][540/1879] lr: 1.0000e-02 eta: 1 day, 1:56:49 time: 0.2823 data_time: 0.0205 memory: 8198 grad_norm: 5.2857 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6000 loss: 1.6000 2022/08/03 02:37:58 - mmengine - INFO - Epoch(train) [82][560/1879] lr: 1.0000e-02 eta: 1 day, 1:56:43 time: 0.2932 data_time: 0.0198 memory: 8198 grad_norm: 5.3856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5188 loss: 1.5188 2022/08/03 02:38:04 - mmengine - INFO - Epoch(train) [82][580/1879] lr: 1.0000e-02 eta: 1 day, 1:56:38 time: 0.3029 data_time: 0.0506 memory: 8198 grad_norm: 5.2682 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5648 loss: 1.5648 2022/08/03 02:38:10 - mmengine - INFO - Epoch(train) [82][600/1879] lr: 1.0000e-02 eta: 1 day, 1:56:32 time: 0.2792 data_time: 0.0270 memory: 8198 grad_norm: 5.5270 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6639 loss: 1.6639 2022/08/03 02:38:15 - mmengine - INFO - Epoch(train) [82][620/1879] lr: 1.0000e-02 eta: 1 day, 1:56:27 time: 0.2830 data_time: 0.0203 memory: 8198 grad_norm: 5.3079 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7469 loss: 1.7469 2022/08/03 02:38:21 - mmengine - INFO - Epoch(train) [82][640/1879] lr: 1.0000e-02 eta: 1 day, 1:56:21 time: 0.2861 data_time: 0.0254 memory: 8198 grad_norm: 5.3889 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6969 loss: 1.6969 2022/08/03 02:38:27 - mmengine - INFO - Epoch(train) [82][660/1879] lr: 1.0000e-02 eta: 1 day, 1:56:16 time: 0.2929 data_time: 0.0182 memory: 8198 grad_norm: 5.4437 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6461 loss: 1.6461 2022/08/03 02:38:32 - mmengine - INFO - Epoch(train) [82][680/1879] lr: 1.0000e-02 eta: 1 day, 1:56:10 time: 0.2826 data_time: 0.0172 memory: 8198 grad_norm: 5.3399 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3566 loss: 1.3566 2022/08/03 02:38:38 - mmengine - INFO - Epoch(train) [82][700/1879] lr: 1.0000e-02 eta: 1 day, 1:56:04 time: 0.2799 data_time: 0.0218 memory: 8198 grad_norm: 5.4965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7096 loss: 1.7096 2022/08/03 02:38:44 - mmengine - INFO - Epoch(train) [82][720/1879] lr: 1.0000e-02 eta: 1 day, 1:55:59 time: 0.2910 data_time: 0.0256 memory: 8198 grad_norm: 5.3438 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7853 loss: 1.7853 2022/08/03 02:38:50 - mmengine - INFO - Epoch(train) [82][740/1879] lr: 1.0000e-02 eta: 1 day, 1:55:53 time: 0.2805 data_time: 0.0243 memory: 8198 grad_norm: 5.3166 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/08/03 02:38:55 - mmengine - INFO - Epoch(train) [82][760/1879] lr: 1.0000e-02 eta: 1 day, 1:55:47 time: 0.2818 data_time: 0.0219 memory: 8198 grad_norm: 5.3647 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/03 02:39:01 - mmengine - INFO - Epoch(train) [82][780/1879] lr: 1.0000e-02 eta: 1 day, 1:55:41 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 5.5003 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6788 loss: 1.6788 2022/08/03 02:39:07 - mmengine - INFO - Epoch(train) [82][800/1879] lr: 1.0000e-02 eta: 1 day, 1:55:36 time: 0.2877 data_time: 0.0208 memory: 8198 grad_norm: 5.3367 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4364 loss: 1.4364 2022/08/03 02:39:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:39:12 - mmengine - INFO - Epoch(train) [82][820/1879] lr: 1.0000e-02 eta: 1 day, 1:55:30 time: 0.2807 data_time: 0.0217 memory: 8198 grad_norm: 5.4972 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6323 loss: 1.6323 2022/08/03 02:39:18 - mmengine - INFO - Epoch(train) [82][840/1879] lr: 1.0000e-02 eta: 1 day, 1:55:24 time: 0.2874 data_time: 0.0229 memory: 8198 grad_norm: 5.2686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5901 loss: 1.5901 2022/08/03 02:39:24 - mmengine - INFO - Epoch(train) [82][860/1879] lr: 1.0000e-02 eta: 1 day, 1:55:19 time: 0.2925 data_time: 0.0313 memory: 8198 grad_norm: 5.2755 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5953 loss: 1.5953 2022/08/03 02:39:30 - mmengine - INFO - Epoch(train) [82][880/1879] lr: 1.0000e-02 eta: 1 day, 1:55:13 time: 0.2804 data_time: 0.0195 memory: 8198 grad_norm: 5.3050 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5469 loss: 1.5469 2022/08/03 02:39:35 - mmengine - INFO - Epoch(train) [82][900/1879] lr: 1.0000e-02 eta: 1 day, 1:55:07 time: 0.2818 data_time: 0.0201 memory: 8198 grad_norm: 5.4869 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7228 loss: 1.7228 2022/08/03 02:39:41 - mmengine - INFO - Epoch(train) [82][920/1879] lr: 1.0000e-02 eta: 1 day, 1:55:02 time: 0.2837 data_time: 0.0229 memory: 8198 grad_norm: 5.3565 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7920 loss: 1.7920 2022/08/03 02:39:47 - mmengine - INFO - Epoch(train) [82][940/1879] lr: 1.0000e-02 eta: 1 day, 1:54:56 time: 0.2833 data_time: 0.0223 memory: 8198 grad_norm: 5.2996 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6045 loss: 1.6045 2022/08/03 02:39:52 - mmengine - INFO - Epoch(train) [82][960/1879] lr: 1.0000e-02 eta: 1 day, 1:54:50 time: 0.2830 data_time: 0.0189 memory: 8198 grad_norm: 5.1523 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5630 loss: 1.5630 2022/08/03 02:39:58 - mmengine - INFO - Epoch(train) [82][980/1879] lr: 1.0000e-02 eta: 1 day, 1:54:44 time: 0.2846 data_time: 0.0215 memory: 8198 grad_norm: 5.2962 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5343 loss: 1.5343 2022/08/03 02:40:04 - mmengine - INFO - Epoch(train) [82][1000/1879] lr: 1.0000e-02 eta: 1 day, 1:54:39 time: 0.2879 data_time: 0.0171 memory: 8198 grad_norm: 5.2913 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5819 loss: 1.5819 2022/08/03 02:40:09 - mmengine - INFO - Epoch(train) [82][1020/1879] lr: 1.0000e-02 eta: 1 day, 1:54:33 time: 0.2848 data_time: 0.0222 memory: 8198 grad_norm: 5.3513 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5338 loss: 1.5338 2022/08/03 02:40:15 - mmengine - INFO - Epoch(train) [82][1040/1879] lr: 1.0000e-02 eta: 1 day, 1:54:28 time: 0.2855 data_time: 0.0203 memory: 8198 grad_norm: 5.2811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7193 loss: 1.7193 2022/08/03 02:40:21 - mmengine - INFO - Epoch(train) [82][1060/1879] lr: 1.0000e-02 eta: 1 day, 1:54:22 time: 0.2832 data_time: 0.0232 memory: 8198 grad_norm: 5.2833 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7105 loss: 1.7105 2022/08/03 02:40:27 - mmengine - INFO - Epoch(train) [82][1080/1879] lr: 1.0000e-02 eta: 1 day, 1:54:16 time: 0.2845 data_time: 0.0213 memory: 8198 grad_norm: 5.4000 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8204 loss: 1.8204 2022/08/03 02:40:32 - mmengine - INFO - Epoch(train) [82][1100/1879] lr: 1.0000e-02 eta: 1 day, 1:54:10 time: 0.2847 data_time: 0.0237 memory: 8198 grad_norm: 5.4611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6693 loss: 1.6693 2022/08/03 02:40:38 - mmengine - INFO - Epoch(train) [82][1120/1879] lr: 1.0000e-02 eta: 1 day, 1:54:05 time: 0.2821 data_time: 0.0223 memory: 8198 grad_norm: 5.4731 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6006 loss: 1.6006 2022/08/03 02:40:44 - mmengine - INFO - Epoch(train) [82][1140/1879] lr: 1.0000e-02 eta: 1 day, 1:53:59 time: 0.2920 data_time: 0.0209 memory: 8198 grad_norm: 5.3224 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4288 loss: 1.4288 2022/08/03 02:40:49 - mmengine - INFO - Epoch(train) [82][1160/1879] lr: 1.0000e-02 eta: 1 day, 1:53:53 time: 0.2803 data_time: 0.0234 memory: 8198 grad_norm: 5.5890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7486 loss: 1.7486 2022/08/03 02:40:55 - mmengine - INFO - Epoch(train) [82][1180/1879] lr: 1.0000e-02 eta: 1 day, 1:53:48 time: 0.2887 data_time: 0.0229 memory: 8198 grad_norm: 5.3032 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4178 loss: 1.4178 2022/08/03 02:41:01 - mmengine - INFO - Epoch(train) [82][1200/1879] lr: 1.0000e-02 eta: 1 day, 1:53:42 time: 0.2872 data_time: 0.0258 memory: 8198 grad_norm: 5.3042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6903 loss: 1.6903 2022/08/03 02:41:07 - mmengine - INFO - Epoch(train) [82][1220/1879] lr: 1.0000e-02 eta: 1 day, 1:53:37 time: 0.2841 data_time: 0.0190 memory: 8198 grad_norm: 5.3499 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6872 loss: 1.6872 2022/08/03 02:41:12 - mmengine - INFO - Epoch(train) [82][1240/1879] lr: 1.0000e-02 eta: 1 day, 1:53:31 time: 0.2815 data_time: 0.0237 memory: 8198 grad_norm: 5.4097 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7698 loss: 1.7698 2022/08/03 02:41:18 - mmengine - INFO - Epoch(train) [82][1260/1879] lr: 1.0000e-02 eta: 1 day, 1:53:25 time: 0.2859 data_time: 0.0264 memory: 8198 grad_norm: 5.3615 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6019 loss: 1.6019 2022/08/03 02:41:24 - mmengine - INFO - Epoch(train) [82][1280/1879] lr: 1.0000e-02 eta: 1 day, 1:53:20 time: 0.2940 data_time: 0.0188 memory: 8198 grad_norm: 5.2778 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5466 loss: 1.5466 2022/08/03 02:41:29 - mmengine - INFO - Epoch(train) [82][1300/1879] lr: 1.0000e-02 eta: 1 day, 1:53:14 time: 0.2793 data_time: 0.0195 memory: 8198 grad_norm: 5.3815 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7257 loss: 1.7257 2022/08/03 02:41:35 - mmengine - INFO - Epoch(train) [82][1320/1879] lr: 1.0000e-02 eta: 1 day, 1:53:08 time: 0.2824 data_time: 0.0195 memory: 8198 grad_norm: 5.5201 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6954 loss: 1.6954 2022/08/03 02:41:41 - mmengine - INFO - Epoch(train) [82][1340/1879] lr: 1.0000e-02 eta: 1 day, 1:53:03 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 5.3332 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7174 loss: 1.7174 2022/08/03 02:41:47 - mmengine - INFO - Epoch(train) [82][1360/1879] lr: 1.0000e-02 eta: 1 day, 1:52:57 time: 0.2915 data_time: 0.0210 memory: 8198 grad_norm: 5.2373 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6860 loss: 1.6860 2022/08/03 02:41:52 - mmengine - INFO - Epoch(train) [82][1380/1879] lr: 1.0000e-02 eta: 1 day, 1:52:51 time: 0.2805 data_time: 0.0224 memory: 8198 grad_norm: 5.2011 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6411 loss: 1.6411 2022/08/03 02:41:58 - mmengine - INFO - Epoch(train) [82][1400/1879] lr: 1.0000e-02 eta: 1 day, 1:52:46 time: 0.2830 data_time: 0.0173 memory: 8198 grad_norm: 5.4210 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6968 loss: 1.6968 2022/08/03 02:42:04 - mmengine - INFO - Epoch(train) [82][1420/1879] lr: 1.0000e-02 eta: 1 day, 1:52:40 time: 0.2855 data_time: 0.0216 memory: 8198 grad_norm: 5.3634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6354 loss: 1.6354 2022/08/03 02:42:10 - mmengine - INFO - Epoch(train) [82][1440/1879] lr: 1.0000e-02 eta: 1 day, 1:52:35 time: 0.2956 data_time: 0.0208 memory: 8198 grad_norm: 5.4347 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/08/03 02:42:15 - mmengine - INFO - Epoch(train) [82][1460/1879] lr: 1.0000e-02 eta: 1 day, 1:52:29 time: 0.2827 data_time: 0.0245 memory: 8198 grad_norm: 5.3407 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6380 loss: 1.6380 2022/08/03 02:42:21 - mmengine - INFO - Epoch(train) [82][1480/1879] lr: 1.0000e-02 eta: 1 day, 1:52:23 time: 0.2796 data_time: 0.0228 memory: 8198 grad_norm: 5.2676 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7015 loss: 1.7015 2022/08/03 02:42:27 - mmengine - INFO - Epoch(train) [82][1500/1879] lr: 1.0000e-02 eta: 1 day, 1:52:18 time: 0.2881 data_time: 0.0273 memory: 8198 grad_norm: 5.2246 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5015 loss: 1.5015 2022/08/03 02:42:32 - mmengine - INFO - Epoch(train) [82][1520/1879] lr: 1.0000e-02 eta: 1 day, 1:52:12 time: 0.2828 data_time: 0.0192 memory: 8198 grad_norm: 5.2637 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7837 loss: 1.7837 2022/08/03 02:42:38 - mmengine - INFO - Epoch(train) [82][1540/1879] lr: 1.0000e-02 eta: 1 day, 1:52:06 time: 0.2842 data_time: 0.0231 memory: 8198 grad_norm: 5.3337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6221 loss: 1.6221 2022/08/03 02:42:44 - mmengine - INFO - Epoch(train) [82][1560/1879] lr: 1.0000e-02 eta: 1 day, 1:52:01 time: 0.2870 data_time: 0.0231 memory: 8198 grad_norm: 5.4544 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8109 loss: 1.8109 2022/08/03 02:42:50 - mmengine - INFO - Epoch(train) [82][1580/1879] lr: 1.0000e-02 eta: 1 day, 1:51:55 time: 0.2817 data_time: 0.0212 memory: 8198 grad_norm: 5.3845 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6460 loss: 1.6460 2022/08/03 02:42:55 - mmengine - INFO - Epoch(train) [82][1600/1879] lr: 1.0000e-02 eta: 1 day, 1:51:49 time: 0.2839 data_time: 0.0245 memory: 8198 grad_norm: 5.2460 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7481 loss: 1.7481 2022/08/03 02:43:01 - mmengine - INFO - Epoch(train) [82][1620/1879] lr: 1.0000e-02 eta: 1 day, 1:51:43 time: 0.2812 data_time: 0.0212 memory: 8198 grad_norm: 5.4761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8039 loss: 1.8039 2022/08/03 02:43:07 - mmengine - INFO - Epoch(train) [82][1640/1879] lr: 1.0000e-02 eta: 1 day, 1:51:38 time: 0.2872 data_time: 0.0245 memory: 8198 grad_norm: 5.3639 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5234 loss: 1.5234 2022/08/03 02:43:12 - mmengine - INFO - Epoch(train) [82][1660/1879] lr: 1.0000e-02 eta: 1 day, 1:51:32 time: 0.2826 data_time: 0.0189 memory: 8198 grad_norm: 5.2815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8373 loss: 1.8373 2022/08/03 02:43:18 - mmengine - INFO - Epoch(train) [82][1680/1879] lr: 1.0000e-02 eta: 1 day, 1:51:26 time: 0.2867 data_time: 0.0280 memory: 8198 grad_norm: 5.4627 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7918 loss: 1.7918 2022/08/03 02:43:24 - mmengine - INFO - Epoch(train) [82][1700/1879] lr: 1.0000e-02 eta: 1 day, 1:51:20 time: 0.2805 data_time: 0.0256 memory: 8198 grad_norm: 5.4863 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7293 loss: 1.7293 2022/08/03 02:43:29 - mmengine - INFO - Epoch(train) [82][1720/1879] lr: 1.0000e-02 eta: 1 day, 1:51:15 time: 0.2816 data_time: 0.0209 memory: 8198 grad_norm: 5.4521 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5472 loss: 1.5472 2022/08/03 02:43:35 - mmengine - INFO - Epoch(train) [82][1740/1879] lr: 1.0000e-02 eta: 1 day, 1:51:09 time: 0.2851 data_time: 0.0249 memory: 8198 grad_norm: 5.4856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7560 loss: 1.7560 2022/08/03 02:43:41 - mmengine - INFO - Epoch(train) [82][1760/1879] lr: 1.0000e-02 eta: 1 day, 1:51:03 time: 0.2843 data_time: 0.0213 memory: 8198 grad_norm: 5.2041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5419 loss: 1.5419 2022/08/03 02:43:46 - mmengine - INFO - Epoch(train) [82][1780/1879] lr: 1.0000e-02 eta: 1 day, 1:50:57 time: 0.2842 data_time: 0.0246 memory: 8198 grad_norm: 5.4587 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7741 loss: 1.7741 2022/08/03 02:43:52 - mmengine - INFO - Epoch(train) [82][1800/1879] lr: 1.0000e-02 eta: 1 day, 1:50:52 time: 0.2823 data_time: 0.0228 memory: 8198 grad_norm: 5.4352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6057 loss: 1.6057 2022/08/03 02:43:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:43:58 - mmengine - INFO - Epoch(train) [82][1820/1879] lr: 1.0000e-02 eta: 1 day, 1:50:46 time: 0.2929 data_time: 0.0255 memory: 8198 grad_norm: 5.3725 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6458 loss: 1.6458 2022/08/03 02:44:04 - mmengine - INFO - Epoch(train) [82][1840/1879] lr: 1.0000e-02 eta: 1 day, 1:50:41 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 5.2350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5452 loss: 1.5452 2022/08/03 02:44:10 - mmengine - INFO - Epoch(train) [82][1860/1879] lr: 1.0000e-02 eta: 1 day, 1:50:35 time: 0.2884 data_time: 0.0251 memory: 8198 grad_norm: 5.2836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7358 loss: 1.7358 2022/08/03 02:44:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:44:15 - mmengine - INFO - Epoch(train) [82][1879/1879] lr: 1.0000e-02 eta: 1 day, 1:50:35 time: 0.2743 data_time: 0.0147 memory: 8198 grad_norm: 5.3677 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.8453 loss: 1.8453 2022/08/03 02:44:23 - mmengine - INFO - Epoch(train) [83][20/1879] lr: 1.0000e-02 eta: 1 day, 1:50:19 time: 0.4294 data_time: 0.1176 memory: 8198 grad_norm: 5.3543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7801 loss: 1.7801 2022/08/03 02:44:29 - mmengine - INFO - Epoch(train) [83][40/1879] lr: 1.0000e-02 eta: 1 day, 1:50:13 time: 0.2838 data_time: 0.0215 memory: 8198 grad_norm: 5.2435 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4930 loss: 1.4930 2022/08/03 02:44:35 - mmengine - INFO - Epoch(train) [83][60/1879] lr: 1.0000e-02 eta: 1 day, 1:50:08 time: 0.3097 data_time: 0.0270 memory: 8198 grad_norm: 5.4302 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6862 loss: 1.6862 2022/08/03 02:44:41 - mmengine - INFO - Epoch(train) [83][80/1879] lr: 1.0000e-02 eta: 1 day, 1:50:03 time: 0.2789 data_time: 0.0184 memory: 8198 grad_norm: 5.3478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6644 loss: 1.6644 2022/08/03 02:44:47 - mmengine - INFO - Epoch(train) [83][100/1879] lr: 1.0000e-02 eta: 1 day, 1:49:57 time: 0.2820 data_time: 0.0204 memory: 8198 grad_norm: 5.3026 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6218 loss: 1.6218 2022/08/03 02:44:52 - mmengine - INFO - Epoch(train) [83][120/1879] lr: 1.0000e-02 eta: 1 day, 1:49:51 time: 0.2804 data_time: 0.0171 memory: 8198 grad_norm: 5.3888 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7542 loss: 1.7542 2022/08/03 02:44:58 - mmengine - INFO - Epoch(train) [83][140/1879] lr: 1.0000e-02 eta: 1 day, 1:49:45 time: 0.2864 data_time: 0.0217 memory: 8198 grad_norm: 5.2446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7223 loss: 1.7223 2022/08/03 02:45:04 - mmengine - INFO - Epoch(train) [83][160/1879] lr: 1.0000e-02 eta: 1 day, 1:49:39 time: 0.2822 data_time: 0.0238 memory: 8198 grad_norm: 5.3188 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4997 loss: 1.4997 2022/08/03 02:45:09 - mmengine - INFO - Epoch(train) [83][180/1879] lr: 1.0000e-02 eta: 1 day, 1:49:34 time: 0.2832 data_time: 0.0275 memory: 8198 grad_norm: 5.2312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6105 loss: 1.6105 2022/08/03 02:45:15 - mmengine - INFO - Epoch(train) [83][200/1879] lr: 1.0000e-02 eta: 1 day, 1:49:28 time: 0.2838 data_time: 0.0212 memory: 8198 grad_norm: 5.3799 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5467 loss: 1.5467 2022/08/03 02:45:21 - mmengine - INFO - Epoch(train) [83][220/1879] lr: 1.0000e-02 eta: 1 day, 1:49:22 time: 0.2825 data_time: 0.0245 memory: 8198 grad_norm: 5.3145 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5153 loss: 1.5153 2022/08/03 02:45:26 - mmengine - INFO - Epoch(train) [83][240/1879] lr: 1.0000e-02 eta: 1 day, 1:49:16 time: 0.2835 data_time: 0.0255 memory: 8198 grad_norm: 5.3661 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7261 loss: 1.7261 2022/08/03 02:45:32 - mmengine - INFO - Epoch(train) [83][260/1879] lr: 1.0000e-02 eta: 1 day, 1:49:11 time: 0.2839 data_time: 0.0216 memory: 8198 grad_norm: 5.4075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7874 loss: 1.7874 2022/08/03 02:45:38 - mmengine - INFO - Epoch(train) [83][280/1879] lr: 1.0000e-02 eta: 1 day, 1:49:05 time: 0.2906 data_time: 0.0189 memory: 8198 grad_norm: 5.4375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7013 loss: 1.7013 2022/08/03 02:45:43 - mmengine - INFO - Epoch(train) [83][300/1879] lr: 1.0000e-02 eta: 1 day, 1:49:00 time: 0.2822 data_time: 0.0231 memory: 8198 grad_norm: 5.3339 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7281 loss: 1.7281 2022/08/03 02:45:49 - mmengine - INFO - Epoch(train) [83][320/1879] lr: 1.0000e-02 eta: 1 day, 1:48:54 time: 0.2852 data_time: 0.0215 memory: 8198 grad_norm: 5.5126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6758 loss: 1.6758 2022/08/03 02:45:55 - mmengine - INFO - Epoch(train) [83][340/1879] lr: 1.0000e-02 eta: 1 day, 1:48:48 time: 0.2833 data_time: 0.0236 memory: 8198 grad_norm: 5.4703 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7551 loss: 1.7551 2022/08/03 02:46:00 - mmengine - INFO - Epoch(train) [83][360/1879] lr: 1.0000e-02 eta: 1 day, 1:48:42 time: 0.2801 data_time: 0.0193 memory: 8198 grad_norm: 5.3878 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7072 loss: 1.7072 2022/08/03 02:46:06 - mmengine - INFO - Epoch(train) [83][380/1879] lr: 1.0000e-02 eta: 1 day, 1:48:37 time: 0.2882 data_time: 0.0212 memory: 8198 grad_norm: 5.4030 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6650 loss: 1.6650 2022/08/03 02:46:12 - mmengine - INFO - Epoch(train) [83][400/1879] lr: 1.0000e-02 eta: 1 day, 1:48:32 time: 0.2984 data_time: 0.0217 memory: 8198 grad_norm: 5.4129 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4646 loss: 1.4646 2022/08/03 02:46:18 - mmengine - INFO - Epoch(train) [83][420/1879] lr: 1.0000e-02 eta: 1 day, 1:48:26 time: 0.2837 data_time: 0.0292 memory: 8198 grad_norm: 5.3353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5413 loss: 1.5413 2022/08/03 02:46:24 - mmengine - INFO - Epoch(train) [83][440/1879] lr: 1.0000e-02 eta: 1 day, 1:48:20 time: 0.2845 data_time: 0.0165 memory: 8198 grad_norm: 5.2202 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5046 loss: 1.5046 2022/08/03 02:46:29 - mmengine - INFO - Epoch(train) [83][460/1879] lr: 1.0000e-02 eta: 1 day, 1:48:14 time: 0.2834 data_time: 0.0237 memory: 8198 grad_norm: 5.3463 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/08/03 02:46:35 - mmengine - INFO - Epoch(train) [83][480/1879] lr: 1.0000e-02 eta: 1 day, 1:48:09 time: 0.2818 data_time: 0.0191 memory: 8198 grad_norm: 5.4033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6406 loss: 1.6406 2022/08/03 02:46:41 - mmengine - INFO - Epoch(train) [83][500/1879] lr: 1.0000e-02 eta: 1 day, 1:48:03 time: 0.2846 data_time: 0.0276 memory: 8198 grad_norm: 5.2616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6202 loss: 1.6202 2022/08/03 02:46:46 - mmengine - INFO - Epoch(train) [83][520/1879] lr: 1.0000e-02 eta: 1 day, 1:47:57 time: 0.2836 data_time: 0.0241 memory: 8198 grad_norm: 5.2582 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6593 loss: 1.6593 2022/08/03 02:46:52 - mmengine - INFO - Epoch(train) [83][540/1879] lr: 1.0000e-02 eta: 1 day, 1:47:52 time: 0.2837 data_time: 0.0225 memory: 8198 grad_norm: 5.2642 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6436 loss: 1.6436 2022/08/03 02:46:58 - mmengine - INFO - Epoch(train) [83][560/1879] lr: 1.0000e-02 eta: 1 day, 1:47:46 time: 0.2864 data_time: 0.0203 memory: 8198 grad_norm: 5.3768 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8049 loss: 1.8049 2022/08/03 02:47:03 - mmengine - INFO - Epoch(train) [83][580/1879] lr: 1.0000e-02 eta: 1 day, 1:47:40 time: 0.2835 data_time: 0.0224 memory: 8198 grad_norm: 5.2715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5878 loss: 1.5878 2022/08/03 02:47:09 - mmengine - INFO - Epoch(train) [83][600/1879] lr: 1.0000e-02 eta: 1 day, 1:47:34 time: 0.2806 data_time: 0.0209 memory: 8198 grad_norm: 5.4291 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6399 loss: 1.6399 2022/08/03 02:47:15 - mmengine - INFO - Epoch(train) [83][620/1879] lr: 1.0000e-02 eta: 1 day, 1:47:29 time: 0.2950 data_time: 0.0214 memory: 8198 grad_norm: 5.4739 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7246 loss: 1.7246 2022/08/03 02:47:21 - mmengine - INFO - Epoch(train) [83][640/1879] lr: 1.0000e-02 eta: 1 day, 1:47:23 time: 0.2798 data_time: 0.0225 memory: 8198 grad_norm: 5.4860 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6325 loss: 1.6325 2022/08/03 02:47:26 - mmengine - INFO - Epoch(train) [83][660/1879] lr: 1.0000e-02 eta: 1 day, 1:47:18 time: 0.2855 data_time: 0.0204 memory: 8198 grad_norm: 5.3030 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6471 loss: 1.6471 2022/08/03 02:47:32 - mmengine - INFO - Epoch(train) [83][680/1879] lr: 1.0000e-02 eta: 1 day, 1:47:12 time: 0.2874 data_time: 0.0214 memory: 8198 grad_norm: 5.2521 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4556 loss: 1.4556 2022/08/03 02:47:38 - mmengine - INFO - Epoch(train) [83][700/1879] lr: 1.0000e-02 eta: 1 day, 1:47:06 time: 0.2825 data_time: 0.0266 memory: 8198 grad_norm: 5.3036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7957 loss: 1.7957 2022/08/03 02:47:43 - mmengine - INFO - Epoch(train) [83][720/1879] lr: 1.0000e-02 eta: 1 day, 1:47:00 time: 0.2835 data_time: 0.0243 memory: 8198 grad_norm: 5.3414 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5691 loss: 1.5691 2022/08/03 02:47:49 - mmengine - INFO - Epoch(train) [83][740/1879] lr: 1.0000e-02 eta: 1 day, 1:46:55 time: 0.2945 data_time: 0.0263 memory: 8198 grad_norm: 5.4573 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7320 loss: 1.7320 2022/08/03 02:47:55 - mmengine - INFO - Epoch(train) [83][760/1879] lr: 1.0000e-02 eta: 1 day, 1:46:49 time: 0.2826 data_time: 0.0205 memory: 8198 grad_norm: 5.3788 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5908 loss: 1.5908 2022/08/03 02:48:01 - mmengine - INFO - Epoch(train) [83][780/1879] lr: 1.0000e-02 eta: 1 day, 1:46:44 time: 0.2858 data_time: 0.0285 memory: 8198 grad_norm: 5.3754 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.5642 loss: 1.5642 2022/08/03 02:48:07 - mmengine - INFO - Epoch(train) [83][800/1879] lr: 1.0000e-02 eta: 1 day, 1:46:38 time: 0.2938 data_time: 0.0182 memory: 8198 grad_norm: 5.2068 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6020 loss: 1.6020 2022/08/03 02:48:12 - mmengine - INFO - Epoch(train) [83][820/1879] lr: 1.0000e-02 eta: 1 day, 1:46:33 time: 0.2834 data_time: 0.0185 memory: 8198 grad_norm: 5.2888 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6143 loss: 1.6143 2022/08/03 02:48:18 - mmengine - INFO - Epoch(train) [83][840/1879] lr: 1.0000e-02 eta: 1 day, 1:46:27 time: 0.2841 data_time: 0.0247 memory: 8198 grad_norm: 5.3797 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5763 loss: 1.5763 2022/08/03 02:48:24 - mmengine - INFO - Epoch(train) [83][860/1879] lr: 1.0000e-02 eta: 1 day, 1:46:21 time: 0.2815 data_time: 0.0210 memory: 8198 grad_norm: 5.4295 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5313 loss: 1.5313 2022/08/03 02:48:29 - mmengine - INFO - Epoch(train) [83][880/1879] lr: 1.0000e-02 eta: 1 day, 1:46:16 time: 0.2853 data_time: 0.0211 memory: 8198 grad_norm: 5.4329 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6623 loss: 1.6623 2022/08/03 02:48:35 - mmengine - INFO - Epoch(train) [83][900/1879] lr: 1.0000e-02 eta: 1 day, 1:46:10 time: 0.2864 data_time: 0.0229 memory: 8198 grad_norm: 5.3500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6328 loss: 1.6328 2022/08/03 02:48:41 - mmengine - INFO - Epoch(train) [83][920/1879] lr: 1.0000e-02 eta: 1 day, 1:46:04 time: 0.2861 data_time: 0.0267 memory: 8198 grad_norm: 5.4544 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6994 loss: 1.6994 2022/08/03 02:48:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:48:47 - mmengine - INFO - Epoch(train) [83][940/1879] lr: 1.0000e-02 eta: 1 day, 1:45:58 time: 0.2811 data_time: 0.0219 memory: 8198 grad_norm: 5.3362 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5842 loss: 1.5842 2022/08/03 02:48:52 - mmengine - INFO - Epoch(train) [83][960/1879] lr: 1.0000e-02 eta: 1 day, 1:45:53 time: 0.2858 data_time: 0.0248 memory: 8198 grad_norm: 5.4761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7691 loss: 1.7691 2022/08/03 02:48:58 - mmengine - INFO - Epoch(train) [83][980/1879] lr: 1.0000e-02 eta: 1 day, 1:45:47 time: 0.2886 data_time: 0.0274 memory: 8198 grad_norm: 5.3477 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5135 loss: 1.5135 2022/08/03 02:49:04 - mmengine - INFO - Epoch(train) [83][1000/1879] lr: 1.0000e-02 eta: 1 day, 1:45:42 time: 0.2854 data_time: 0.0250 memory: 8198 grad_norm: 5.3382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4337 loss: 1.4337 2022/08/03 02:49:09 - mmengine - INFO - Epoch(train) [83][1020/1879] lr: 1.0000e-02 eta: 1 day, 1:45:36 time: 0.2832 data_time: 0.0279 memory: 8198 grad_norm: 5.4244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8786 loss: 1.8786 2022/08/03 02:49:16 - mmengine - INFO - Epoch(train) [83][1040/1879] lr: 1.0000e-02 eta: 1 day, 1:45:31 time: 0.3098 data_time: 0.0218 memory: 8198 grad_norm: 5.2746 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4775 loss: 1.4775 2022/08/03 02:49:21 - mmengine - INFO - Epoch(train) [83][1060/1879] lr: 1.0000e-02 eta: 1 day, 1:45:25 time: 0.2818 data_time: 0.0265 memory: 8198 grad_norm: 5.4255 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5937 loss: 1.5937 2022/08/03 02:49:27 - mmengine - INFO - Epoch(train) [83][1080/1879] lr: 1.0000e-02 eta: 1 day, 1:45:20 time: 0.2783 data_time: 0.0224 memory: 8198 grad_norm: 5.5073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/08/03 02:49:33 - mmengine - INFO - Epoch(train) [83][1100/1879] lr: 1.0000e-02 eta: 1 day, 1:45:14 time: 0.2825 data_time: 0.0234 memory: 8198 grad_norm: 5.4080 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8692 loss: 1.8692 2022/08/03 02:49:39 - mmengine - INFO - Epoch(train) [83][1120/1879] lr: 1.0000e-02 eta: 1 day, 1:45:09 time: 0.3055 data_time: 0.0213 memory: 8198 grad_norm: 5.2944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5607 loss: 1.5607 2022/08/03 02:49:44 - mmengine - INFO - Epoch(train) [83][1140/1879] lr: 1.0000e-02 eta: 1 day, 1:45:03 time: 0.2803 data_time: 0.0216 memory: 8198 grad_norm: 5.4182 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8178 loss: 1.8178 2022/08/03 02:49:50 - mmengine - INFO - Epoch(train) [83][1160/1879] lr: 1.0000e-02 eta: 1 day, 1:44:57 time: 0.2800 data_time: 0.0188 memory: 8198 grad_norm: 5.4273 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6631 loss: 1.6631 2022/08/03 02:49:56 - mmengine - INFO - Epoch(train) [83][1180/1879] lr: 1.0000e-02 eta: 1 day, 1:44:52 time: 0.2867 data_time: 0.0258 memory: 8198 grad_norm: 5.3239 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6708 loss: 1.6708 2022/08/03 02:50:01 - mmengine - INFO - Epoch(train) [83][1200/1879] lr: 1.0000e-02 eta: 1 day, 1:44:46 time: 0.2854 data_time: 0.0224 memory: 8198 grad_norm: 5.3954 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6011 loss: 1.6011 2022/08/03 02:50:07 - mmengine - INFO - Epoch(train) [83][1220/1879] lr: 1.0000e-02 eta: 1 day, 1:44:40 time: 0.2831 data_time: 0.0228 memory: 8198 grad_norm: 5.3836 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6821 loss: 1.6821 2022/08/03 02:50:13 - mmengine - INFO - Epoch(train) [83][1240/1879] lr: 1.0000e-02 eta: 1 day, 1:44:34 time: 0.2818 data_time: 0.0274 memory: 8198 grad_norm: 5.3642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7023 loss: 1.7023 2022/08/03 02:50:18 - mmengine - INFO - Epoch(train) [83][1260/1879] lr: 1.0000e-02 eta: 1 day, 1:44:29 time: 0.2849 data_time: 0.0261 memory: 8198 grad_norm: 5.2554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7181 loss: 1.7181 2022/08/03 02:50:24 - mmengine - INFO - Epoch(train) [83][1280/1879] lr: 1.0000e-02 eta: 1 day, 1:44:23 time: 0.2824 data_time: 0.0202 memory: 8198 grad_norm: 5.4116 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6467 loss: 1.6467 2022/08/03 02:50:30 - mmengine - INFO - Epoch(train) [83][1300/1879] lr: 1.0000e-02 eta: 1 day, 1:44:17 time: 0.2850 data_time: 0.0247 memory: 8198 grad_norm: 5.2558 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6988 loss: 1.6988 2022/08/03 02:50:36 - mmengine - INFO - Epoch(train) [83][1320/1879] lr: 1.0000e-02 eta: 1 day, 1:44:12 time: 0.2929 data_time: 0.0213 memory: 8198 grad_norm: 5.5559 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8198 loss: 1.8198 2022/08/03 02:50:41 - mmengine - INFO - Epoch(train) [83][1340/1879] lr: 1.0000e-02 eta: 1 day, 1:44:06 time: 0.2818 data_time: 0.0256 memory: 8198 grad_norm: 5.4728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6785 loss: 1.6785 2022/08/03 02:50:47 - mmengine - INFO - Epoch(train) [83][1360/1879] lr: 1.0000e-02 eta: 1 day, 1:44:01 time: 0.3079 data_time: 0.0232 memory: 8198 grad_norm: 5.2679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7483 loss: 1.7483 2022/08/03 02:50:53 - mmengine - INFO - Epoch(train) [83][1380/1879] lr: 1.0000e-02 eta: 1 day, 1:43:56 time: 0.2808 data_time: 0.0250 memory: 8198 grad_norm: 5.2889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4699 loss: 1.4699 2022/08/03 02:50:59 - mmengine - INFO - Epoch(train) [83][1400/1879] lr: 1.0000e-02 eta: 1 day, 1:43:50 time: 0.2827 data_time: 0.0194 memory: 8198 grad_norm: 5.3189 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5007 loss: 1.5007 2022/08/03 02:51:04 - mmengine - INFO - Epoch(train) [83][1420/1879] lr: 1.0000e-02 eta: 1 day, 1:43:44 time: 0.2857 data_time: 0.0241 memory: 8198 grad_norm: 5.3007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5115 loss: 1.5115 2022/08/03 02:51:10 - mmengine - INFO - Epoch(train) [83][1440/1879] lr: 1.0000e-02 eta: 1 day, 1:43:39 time: 0.2963 data_time: 0.0234 memory: 8198 grad_norm: 5.3840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5133 loss: 1.5133 2022/08/03 02:51:16 - mmengine - INFO - Epoch(train) [83][1460/1879] lr: 1.0000e-02 eta: 1 day, 1:43:33 time: 0.2873 data_time: 0.0255 memory: 8198 grad_norm: 5.3998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7815 loss: 1.7815 2022/08/03 02:51:22 - mmengine - INFO - Epoch(train) [83][1480/1879] lr: 1.0000e-02 eta: 1 day, 1:43:28 time: 0.2821 data_time: 0.0204 memory: 8198 grad_norm: 5.3696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6061 loss: 1.6061 2022/08/03 02:51:28 - mmengine - INFO - Epoch(train) [83][1500/1879] lr: 1.0000e-02 eta: 1 day, 1:43:22 time: 0.2906 data_time: 0.0225 memory: 8198 grad_norm: 5.3274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6532 loss: 1.6532 2022/08/03 02:51:33 - mmengine - INFO - Epoch(train) [83][1520/1879] lr: 1.0000e-02 eta: 1 day, 1:43:16 time: 0.2848 data_time: 0.0246 memory: 8198 grad_norm: 5.3678 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6909 loss: 1.6909 2022/08/03 02:51:39 - mmengine - INFO - Epoch(train) [83][1540/1879] lr: 1.0000e-02 eta: 1 day, 1:43:11 time: 0.2815 data_time: 0.0213 memory: 8198 grad_norm: 5.2941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6925 loss: 1.6925 2022/08/03 02:51:45 - mmengine - INFO - Epoch(train) [83][1560/1879] lr: 1.0000e-02 eta: 1 day, 1:43:05 time: 0.2975 data_time: 0.0257 memory: 8198 grad_norm: 5.3489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6288 loss: 1.6288 2022/08/03 02:51:51 - mmengine - INFO - Epoch(train) [83][1580/1879] lr: 1.0000e-02 eta: 1 day, 1:43:00 time: 0.2793 data_time: 0.0225 memory: 8198 grad_norm: 5.6388 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8623 loss: 1.8623 2022/08/03 02:51:56 - mmengine - INFO - Epoch(train) [83][1600/1879] lr: 1.0000e-02 eta: 1 day, 1:42:54 time: 0.2838 data_time: 0.0251 memory: 8198 grad_norm: 5.5571 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9078 loss: 1.9078 2022/08/03 02:52:02 - mmengine - INFO - Epoch(train) [83][1620/1879] lr: 1.0000e-02 eta: 1 day, 1:42:48 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 5.2630 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6991 loss: 1.6991 2022/08/03 02:52:08 - mmengine - INFO - Epoch(train) [83][1640/1879] lr: 1.0000e-02 eta: 1 day, 1:42:43 time: 0.2845 data_time: 0.0261 memory: 8198 grad_norm: 5.2020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6201 loss: 1.6201 2022/08/03 02:52:13 - mmengine - INFO - Epoch(train) [83][1660/1879] lr: 1.0000e-02 eta: 1 day, 1:42:37 time: 0.2845 data_time: 0.0253 memory: 8198 grad_norm: 5.3684 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8267 loss: 1.8267 2022/08/03 02:52:19 - mmengine - INFO - Epoch(train) [83][1680/1879] lr: 1.0000e-02 eta: 1 day, 1:42:31 time: 0.2813 data_time: 0.0211 memory: 8198 grad_norm: 5.4654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6581 loss: 1.6581 2022/08/03 02:52:25 - mmengine - INFO - Epoch(train) [83][1700/1879] lr: 1.0000e-02 eta: 1 day, 1:42:25 time: 0.2883 data_time: 0.0227 memory: 8198 grad_norm: 5.3328 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7047 loss: 1.7047 2022/08/03 02:52:31 - mmengine - INFO - Epoch(train) [83][1720/1879] lr: 1.0000e-02 eta: 1 day, 1:42:20 time: 0.2847 data_time: 0.0239 memory: 8198 grad_norm: 5.3532 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5787 loss: 1.5787 2022/08/03 02:52:36 - mmengine - INFO - Epoch(train) [83][1740/1879] lr: 1.0000e-02 eta: 1 day, 1:42:14 time: 0.2838 data_time: 0.0256 memory: 8198 grad_norm: 5.2667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4532 loss: 1.4532 2022/08/03 02:52:42 - mmengine - INFO - Epoch(train) [83][1760/1879] lr: 1.0000e-02 eta: 1 day, 1:42:08 time: 0.2834 data_time: 0.0208 memory: 8198 grad_norm: 5.3663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6288 loss: 1.6288 2022/08/03 02:52:48 - mmengine - INFO - Epoch(train) [83][1780/1879] lr: 1.0000e-02 eta: 1 day, 1:42:03 time: 0.2861 data_time: 0.0217 memory: 8198 grad_norm: 5.1527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4842 loss: 1.4842 2022/08/03 02:52:54 - mmengine - INFO - Epoch(train) [83][1800/1879] lr: 1.0000e-02 eta: 1 day, 1:41:57 time: 0.2948 data_time: 0.0190 memory: 8198 grad_norm: 5.4103 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6251 loss: 1.6251 2022/08/03 02:52:59 - mmengine - INFO - Epoch(train) [83][1820/1879] lr: 1.0000e-02 eta: 1 day, 1:41:52 time: 0.2850 data_time: 0.0297 memory: 8198 grad_norm: 5.5847 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5199 loss: 1.5199 2022/08/03 02:53:05 - mmengine - INFO - Epoch(train) [83][1840/1879] lr: 1.0000e-02 eta: 1 day, 1:41:46 time: 0.2842 data_time: 0.0231 memory: 8198 grad_norm: 5.4609 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9674 loss: 1.9674 2022/08/03 02:53:11 - mmengine - INFO - Epoch(train) [83][1860/1879] lr: 1.0000e-02 eta: 1 day, 1:41:40 time: 0.2845 data_time: 0.0222 memory: 8198 grad_norm: 5.2035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5059 loss: 1.5059 2022/08/03 02:53:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:53:16 - mmengine - INFO - Epoch(train) [83][1879/1879] lr: 1.0000e-02 eta: 1 day, 1:41:40 time: 0.2671 data_time: 0.0130 memory: 8198 grad_norm: 5.5290 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 1.8283 loss: 1.8283 2022/08/03 02:53:24 - mmengine - INFO - Epoch(train) [84][20/1879] lr: 1.0000e-02 eta: 1 day, 1:41:23 time: 0.4143 data_time: 0.1465 memory: 8198 grad_norm: 5.1513 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5975 loss: 1.5975 2022/08/03 02:53:30 - mmengine - INFO - Epoch(train) [84][40/1879] lr: 1.0000e-02 eta: 1 day, 1:41:18 time: 0.2947 data_time: 0.0186 memory: 8198 grad_norm: 5.1822 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2339 loss: 1.2339 2022/08/03 02:53:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:53:36 - mmengine - INFO - Epoch(train) [84][60/1879] lr: 1.0000e-02 eta: 1 day, 1:41:13 time: 0.2973 data_time: 0.0220 memory: 8198 grad_norm: 5.2542 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6824 loss: 1.6824 2022/08/03 02:53:42 - mmengine - INFO - Epoch(train) [84][80/1879] lr: 1.0000e-02 eta: 1 day, 1:41:08 time: 0.2947 data_time: 0.0316 memory: 8198 grad_norm: 5.2698 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6279 loss: 1.6279 2022/08/03 02:53:48 - mmengine - INFO - Epoch(train) [84][100/1879] lr: 1.0000e-02 eta: 1 day, 1:41:03 time: 0.2972 data_time: 0.0210 memory: 8198 grad_norm: 5.3256 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6023 loss: 1.6023 2022/08/03 02:53:54 - mmengine - INFO - Epoch(train) [84][120/1879] lr: 1.0000e-02 eta: 1 day, 1:40:57 time: 0.2847 data_time: 0.0278 memory: 8198 grad_norm: 5.2682 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7090 loss: 1.7090 2022/08/03 02:53:59 - mmengine - INFO - Epoch(train) [84][140/1879] lr: 1.0000e-02 eta: 1 day, 1:40:51 time: 0.2902 data_time: 0.0287 memory: 8198 grad_norm: 5.3869 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7515 loss: 1.7515 2022/08/03 02:54:05 - mmengine - INFO - Epoch(train) [84][160/1879] lr: 1.0000e-02 eta: 1 day, 1:40:46 time: 0.2880 data_time: 0.0276 memory: 8198 grad_norm: 5.3959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6309 loss: 1.6309 2022/08/03 02:54:11 - mmengine - INFO - Epoch(train) [84][180/1879] lr: 1.0000e-02 eta: 1 day, 1:40:40 time: 0.2791 data_time: 0.0191 memory: 8198 grad_norm: 5.4770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6839 loss: 1.6839 2022/08/03 02:54:17 - mmengine - INFO - Epoch(train) [84][200/1879] lr: 1.0000e-02 eta: 1 day, 1:40:34 time: 0.2854 data_time: 0.0256 memory: 8198 grad_norm: 5.2972 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6303 loss: 1.6303 2022/08/03 02:54:22 - mmengine - INFO - Epoch(train) [84][220/1879] lr: 1.0000e-02 eta: 1 day, 1:40:28 time: 0.2785 data_time: 0.0246 memory: 8198 grad_norm: 5.4236 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6634 loss: 1.6634 2022/08/03 02:54:28 - mmengine - INFO - Epoch(train) [84][240/1879] lr: 1.0000e-02 eta: 1 day, 1:40:23 time: 0.3032 data_time: 0.0230 memory: 8198 grad_norm: 5.3542 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5496 loss: 1.5496 2022/08/03 02:54:34 - mmengine - INFO - Epoch(train) [84][260/1879] lr: 1.0000e-02 eta: 1 day, 1:40:18 time: 0.2816 data_time: 0.0248 memory: 8198 grad_norm: 5.3001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5248 loss: 1.5248 2022/08/03 02:54:40 - mmengine - INFO - Epoch(train) [84][280/1879] lr: 1.0000e-02 eta: 1 day, 1:40:12 time: 0.2826 data_time: 0.0193 memory: 8198 grad_norm: 5.2879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6411 loss: 1.6411 2022/08/03 02:54:45 - mmengine - INFO - Epoch(train) [84][300/1879] lr: 1.0000e-02 eta: 1 day, 1:40:06 time: 0.2896 data_time: 0.0260 memory: 8198 grad_norm: 5.3350 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4863 loss: 1.4863 2022/08/03 02:54:51 - mmengine - INFO - Epoch(train) [84][320/1879] lr: 1.0000e-02 eta: 1 day, 1:40:00 time: 0.2803 data_time: 0.0211 memory: 8198 grad_norm: 5.4149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5841 loss: 1.5841 2022/08/03 02:54:57 - mmengine - INFO - Epoch(train) [84][340/1879] lr: 1.0000e-02 eta: 1 day, 1:39:55 time: 0.2874 data_time: 0.0228 memory: 8198 grad_norm: 5.5858 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8199 loss: 1.8199 2022/08/03 02:55:02 - mmengine - INFO - Epoch(train) [84][360/1879] lr: 1.0000e-02 eta: 1 day, 1:39:49 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 5.4946 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5621 loss: 1.5621 2022/08/03 02:55:08 - mmengine - INFO - Epoch(train) [84][380/1879] lr: 1.0000e-02 eta: 1 day, 1:39:44 time: 0.2901 data_time: 0.0205 memory: 8198 grad_norm: 5.3604 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7665 loss: 1.7665 2022/08/03 02:55:14 - mmengine - INFO - Epoch(train) [84][400/1879] lr: 1.0000e-02 eta: 1 day, 1:39:38 time: 0.2831 data_time: 0.0219 memory: 8198 grad_norm: 5.3966 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6891 loss: 1.6891 2022/08/03 02:55:20 - mmengine - INFO - Epoch(train) [84][420/1879] lr: 1.0000e-02 eta: 1 day, 1:39:32 time: 0.2846 data_time: 0.0221 memory: 8198 grad_norm: 5.3503 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6758 loss: 1.6758 2022/08/03 02:55:26 - mmengine - INFO - Epoch(train) [84][440/1879] lr: 1.0000e-02 eta: 1 day, 1:39:27 time: 0.3006 data_time: 0.0241 memory: 8198 grad_norm: 5.2579 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6587 loss: 1.6587 2022/08/03 02:55:31 - mmengine - INFO - Epoch(train) [84][460/1879] lr: 1.0000e-02 eta: 1 day, 1:39:22 time: 0.2820 data_time: 0.0258 memory: 8198 grad_norm: 5.2983 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6107 loss: 1.6107 2022/08/03 02:55:37 - mmengine - INFO - Epoch(train) [84][480/1879] lr: 1.0000e-02 eta: 1 day, 1:39:16 time: 0.2808 data_time: 0.0214 memory: 8198 grad_norm: 5.3507 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5201 loss: 1.5201 2022/08/03 02:55:43 - mmengine - INFO - Epoch(train) [84][500/1879] lr: 1.0000e-02 eta: 1 day, 1:39:10 time: 0.2882 data_time: 0.0241 memory: 8198 grad_norm: 5.4116 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5539 loss: 1.5539 2022/08/03 02:55:49 - mmengine - INFO - Epoch(train) [84][520/1879] lr: 1.0000e-02 eta: 1 day, 1:39:05 time: 0.2931 data_time: 0.0255 memory: 8198 grad_norm: 5.4843 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5668 loss: 1.5668 2022/08/03 02:55:54 - mmengine - INFO - Epoch(train) [84][540/1879] lr: 1.0000e-02 eta: 1 day, 1:38:59 time: 0.2845 data_time: 0.0229 memory: 8198 grad_norm: 5.4090 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7608 loss: 1.7608 2022/08/03 02:56:00 - mmengine - INFO - Epoch(train) [84][560/1879] lr: 1.0000e-02 eta: 1 day, 1:38:53 time: 0.2814 data_time: 0.0236 memory: 8198 grad_norm: 5.4044 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7500 loss: 1.7500 2022/08/03 02:56:06 - mmengine - INFO - Epoch(train) [84][580/1879] lr: 1.0000e-02 eta: 1 day, 1:38:48 time: 0.2956 data_time: 0.0235 memory: 8198 grad_norm: 5.3258 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7277 loss: 1.7277 2022/08/03 02:56:12 - mmengine - INFO - Epoch(train) [84][600/1879] lr: 1.0000e-02 eta: 1 day, 1:38:42 time: 0.2813 data_time: 0.0196 memory: 8198 grad_norm: 5.3988 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6468 loss: 1.6468 2022/08/03 02:56:17 - mmengine - INFO - Epoch(train) [84][620/1879] lr: 1.0000e-02 eta: 1 day, 1:38:37 time: 0.2839 data_time: 0.0244 memory: 8198 grad_norm: 5.3539 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6704 loss: 1.6704 2022/08/03 02:56:23 - mmengine - INFO - Epoch(train) [84][640/1879] lr: 1.0000e-02 eta: 1 day, 1:38:31 time: 0.2842 data_time: 0.0217 memory: 8198 grad_norm: 5.4096 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7006 loss: 1.7006 2022/08/03 02:56:29 - mmengine - INFO - Epoch(train) [84][660/1879] lr: 1.0000e-02 eta: 1 day, 1:38:25 time: 0.2850 data_time: 0.0219 memory: 8198 grad_norm: 5.2386 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8201 loss: 1.8201 2022/08/03 02:56:34 - mmengine - INFO - Epoch(train) [84][680/1879] lr: 1.0000e-02 eta: 1 day, 1:38:19 time: 0.2835 data_time: 0.0225 memory: 8198 grad_norm: 5.3128 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5516 loss: 1.5516 2022/08/03 02:56:40 - mmengine - INFO - Epoch(train) [84][700/1879] lr: 1.0000e-02 eta: 1 day, 1:38:14 time: 0.2979 data_time: 0.0241 memory: 8198 grad_norm: 5.3032 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5771 loss: 1.5771 2022/08/03 02:56:46 - mmengine - INFO - Epoch(train) [84][720/1879] lr: 1.0000e-02 eta: 1 day, 1:38:09 time: 0.2881 data_time: 0.0217 memory: 8198 grad_norm: 5.5674 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5967 loss: 1.5967 2022/08/03 02:56:52 - mmengine - INFO - Epoch(train) [84][740/1879] lr: 1.0000e-02 eta: 1 day, 1:38:03 time: 0.2819 data_time: 0.0196 memory: 8198 grad_norm: 5.4244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6986 loss: 1.6986 2022/08/03 02:56:57 - mmengine - INFO - Epoch(train) [84][760/1879] lr: 1.0000e-02 eta: 1 day, 1:37:57 time: 0.2879 data_time: 0.0279 memory: 8198 grad_norm: 5.5049 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5079 loss: 1.5079 2022/08/03 02:57:03 - mmengine - INFO - Epoch(train) [84][780/1879] lr: 1.0000e-02 eta: 1 day, 1:37:52 time: 0.2823 data_time: 0.0247 memory: 8198 grad_norm: 5.3644 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7261 loss: 1.7261 2022/08/03 02:57:09 - mmengine - INFO - Epoch(train) [84][800/1879] lr: 1.0000e-02 eta: 1 day, 1:37:46 time: 0.2802 data_time: 0.0191 memory: 8198 grad_norm: 5.4709 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6440 loss: 1.6440 2022/08/03 02:57:15 - mmengine - INFO - Epoch(train) [84][820/1879] lr: 1.0000e-02 eta: 1 day, 1:37:40 time: 0.2872 data_time: 0.0246 memory: 8198 grad_norm: 5.3238 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6881 loss: 1.6881 2022/08/03 02:57:20 - mmengine - INFO - Epoch(train) [84][840/1879] lr: 1.0000e-02 eta: 1 day, 1:37:35 time: 0.2852 data_time: 0.0187 memory: 8198 grad_norm: 5.3742 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6992 loss: 1.6992 2022/08/03 02:57:26 - mmengine - INFO - Epoch(train) [84][860/1879] lr: 1.0000e-02 eta: 1 day, 1:37:29 time: 0.2829 data_time: 0.0237 memory: 8198 grad_norm: 5.3124 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6097 loss: 1.6097 2022/08/03 02:57:32 - mmengine - INFO - Epoch(train) [84][880/1879] lr: 1.0000e-02 eta: 1 day, 1:37:23 time: 0.2799 data_time: 0.0208 memory: 8198 grad_norm: 5.4750 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7435 loss: 1.7435 2022/08/03 02:57:37 - mmengine - INFO - Epoch(train) [84][900/1879] lr: 1.0000e-02 eta: 1 day, 1:37:17 time: 0.2848 data_time: 0.0210 memory: 8198 grad_norm: 5.3882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5515 loss: 1.5515 2022/08/03 02:57:43 - mmengine - INFO - Epoch(train) [84][920/1879] lr: 1.0000e-02 eta: 1 day, 1:37:12 time: 0.2923 data_time: 0.0212 memory: 8198 grad_norm: 5.4032 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4630 loss: 1.4630 2022/08/03 02:57:49 - mmengine - INFO - Epoch(train) [84][940/1879] lr: 1.0000e-02 eta: 1 day, 1:37:06 time: 0.2840 data_time: 0.0219 memory: 8198 grad_norm: 5.4943 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8057 loss: 1.8057 2022/08/03 02:57:54 - mmengine - INFO - Epoch(train) [84][960/1879] lr: 1.0000e-02 eta: 1 day, 1:37:00 time: 0.2772 data_time: 0.0197 memory: 8198 grad_norm: 5.3005 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8107 loss: 1.8107 2022/08/03 02:58:00 - mmengine - INFO - Epoch(train) [84][980/1879] lr: 1.0000e-02 eta: 1 day, 1:36:55 time: 0.2868 data_time: 0.0243 memory: 8198 grad_norm: 5.4364 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5119 loss: 1.5119 2022/08/03 02:58:06 - mmengine - INFO - Epoch(train) [84][1000/1879] lr: 1.0000e-02 eta: 1 day, 1:36:49 time: 0.2902 data_time: 0.0211 memory: 8198 grad_norm: 5.3374 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6782 loss: 1.6782 2022/08/03 02:58:12 - mmengine - INFO - Epoch(train) [84][1020/1879] lr: 1.0000e-02 eta: 1 day, 1:36:43 time: 0.2863 data_time: 0.0288 memory: 8198 grad_norm: 5.2567 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7309 loss: 1.7309 2022/08/03 02:58:18 - mmengine - INFO - Epoch(train) [84][1040/1879] lr: 1.0000e-02 eta: 1 day, 1:36:38 time: 0.2981 data_time: 0.0223 memory: 8198 grad_norm: 5.2741 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6463 loss: 1.6463 2022/08/03 02:58:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 02:58:23 - mmengine - INFO - Epoch(train) [84][1060/1879] lr: 1.0000e-02 eta: 1 day, 1:36:32 time: 0.2800 data_time: 0.0201 memory: 8198 grad_norm: 5.4832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5728 loss: 1.5728 2022/08/03 02:58:29 - mmengine - INFO - Epoch(train) [84][1080/1879] lr: 1.0000e-02 eta: 1 day, 1:36:27 time: 0.2876 data_time: 0.0240 memory: 8198 grad_norm: 5.3411 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8307 loss: 1.8307 2022/08/03 02:58:35 - mmengine - INFO - Epoch(train) [84][1100/1879] lr: 1.0000e-02 eta: 1 day, 1:36:21 time: 0.2847 data_time: 0.0222 memory: 8198 grad_norm: 5.1507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6336 loss: 1.6336 2022/08/03 02:58:40 - mmengine - INFO - Epoch(train) [84][1120/1879] lr: 1.0000e-02 eta: 1 day, 1:36:15 time: 0.2798 data_time: 0.0184 memory: 8198 grad_norm: 5.3211 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9927 loss: 1.9927 2022/08/03 02:58:46 - mmengine - INFO - Epoch(train) [84][1140/1879] lr: 1.0000e-02 eta: 1 day, 1:36:10 time: 0.2833 data_time: 0.0239 memory: 8198 grad_norm: 5.3269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6923 loss: 1.6923 2022/08/03 02:58:52 - mmengine - INFO - Epoch(train) [84][1160/1879] lr: 1.0000e-02 eta: 1 day, 1:36:04 time: 0.2849 data_time: 0.0223 memory: 8198 grad_norm: 5.3586 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6269 loss: 1.6269 2022/08/03 02:58:58 - mmengine - INFO - Epoch(train) [84][1180/1879] lr: 1.0000e-02 eta: 1 day, 1:35:58 time: 0.2900 data_time: 0.0259 memory: 8198 grad_norm: 5.4459 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6956 loss: 1.6956 2022/08/03 02:59:03 - mmengine - INFO - Epoch(train) [84][1200/1879] lr: 1.0000e-02 eta: 1 day, 1:35:53 time: 0.2822 data_time: 0.0213 memory: 8198 grad_norm: 5.4269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9361 loss: 1.9361 2022/08/03 02:59:09 - mmengine - INFO - Epoch(train) [84][1220/1879] lr: 1.0000e-02 eta: 1 day, 1:35:47 time: 0.2910 data_time: 0.0275 memory: 8198 grad_norm: 5.4834 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6009 loss: 1.6009 2022/08/03 02:59:15 - mmengine - INFO - Epoch(train) [84][1240/1879] lr: 1.0000e-02 eta: 1 day, 1:35:41 time: 0.2824 data_time: 0.0214 memory: 8198 grad_norm: 5.4774 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7049 loss: 1.7049 2022/08/03 02:59:21 - mmengine - INFO - Epoch(train) [84][1260/1879] lr: 1.0000e-02 eta: 1 day, 1:35:36 time: 0.2868 data_time: 0.0239 memory: 8198 grad_norm: 5.3471 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7030 loss: 1.7030 2022/08/03 02:59:27 - mmengine - INFO - Epoch(train) [84][1280/1879] lr: 1.0000e-02 eta: 1 day, 1:35:31 time: 0.3030 data_time: 0.0241 memory: 8198 grad_norm: 5.3489 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7474 loss: 1.7474 2022/08/03 02:59:32 - mmengine - INFO - Epoch(train) [84][1300/1879] lr: 1.0000e-02 eta: 1 day, 1:35:25 time: 0.2832 data_time: 0.0221 memory: 8198 grad_norm: 5.4668 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7118 loss: 1.7118 2022/08/03 02:59:38 - mmengine - INFO - Epoch(train) [84][1320/1879] lr: 1.0000e-02 eta: 1 day, 1:35:19 time: 0.2805 data_time: 0.0205 memory: 8198 grad_norm: 5.4784 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6485 loss: 1.6485 2022/08/03 02:59:44 - mmengine - INFO - Epoch(train) [84][1340/1879] lr: 1.0000e-02 eta: 1 day, 1:35:14 time: 0.2858 data_time: 0.0232 memory: 8198 grad_norm: 5.2116 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5162 loss: 1.5162 2022/08/03 02:59:49 - mmengine - INFO - Epoch(train) [84][1360/1879] lr: 1.0000e-02 eta: 1 day, 1:35:08 time: 0.2842 data_time: 0.0185 memory: 8198 grad_norm: 5.3518 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7804 loss: 1.7804 2022/08/03 02:59:55 - mmengine - INFO - Epoch(train) [84][1380/1879] lr: 1.0000e-02 eta: 1 day, 1:35:02 time: 0.2848 data_time: 0.0305 memory: 8198 grad_norm: 5.3535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7639 loss: 1.7639 2022/08/03 03:00:01 - mmengine - INFO - Epoch(train) [84][1400/1879] lr: 1.0000e-02 eta: 1 day, 1:34:57 time: 0.2826 data_time: 0.0226 memory: 8198 grad_norm: 5.4385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6738 loss: 1.6738 2022/08/03 03:00:07 - mmengine - INFO - Epoch(train) [84][1420/1879] lr: 1.0000e-02 eta: 1 day, 1:34:51 time: 0.2964 data_time: 0.0240 memory: 8198 grad_norm: 5.3058 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7008 loss: 1.7008 2022/08/03 03:00:12 - mmengine - INFO - Epoch(train) [84][1440/1879] lr: 1.0000e-02 eta: 1 day, 1:34:45 time: 0.2813 data_time: 0.0248 memory: 8198 grad_norm: 5.1211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6330 loss: 1.6330 2022/08/03 03:00:18 - mmengine - INFO - Epoch(train) [84][1460/1879] lr: 1.0000e-02 eta: 1 day, 1:34:40 time: 0.2833 data_time: 0.0266 memory: 8198 grad_norm: 5.4035 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7298 loss: 1.7298 2022/08/03 03:00:24 - mmengine - INFO - Epoch(train) [84][1480/1879] lr: 1.0000e-02 eta: 1 day, 1:34:34 time: 0.2802 data_time: 0.0261 memory: 8198 grad_norm: 5.2948 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4939 loss: 1.4939 2022/08/03 03:00:29 - mmengine - INFO - Epoch(train) [84][1500/1879] lr: 1.0000e-02 eta: 1 day, 1:34:28 time: 0.2904 data_time: 0.0213 memory: 8198 grad_norm: 5.4201 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8508 loss: 1.8508 2022/08/03 03:00:35 - mmengine - INFO - Epoch(train) [84][1520/1879] lr: 1.0000e-02 eta: 1 day, 1:34:23 time: 0.2824 data_time: 0.0235 memory: 8198 grad_norm: 5.4593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7552 loss: 1.7552 2022/08/03 03:00:41 - mmengine - INFO - Epoch(train) [84][1540/1879] lr: 1.0000e-02 eta: 1 day, 1:34:17 time: 0.2812 data_time: 0.0200 memory: 8198 grad_norm: 5.2727 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6007 loss: 1.6007 2022/08/03 03:00:46 - mmengine - INFO - Epoch(train) [84][1560/1879] lr: 1.0000e-02 eta: 1 day, 1:34:11 time: 0.2854 data_time: 0.0198 memory: 8198 grad_norm: 5.4445 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8005 loss: 1.8005 2022/08/03 03:00:52 - mmengine - INFO - Epoch(train) [84][1580/1879] lr: 1.0000e-02 eta: 1 day, 1:34:06 time: 0.2864 data_time: 0.0254 memory: 8198 grad_norm: 5.4703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7371 loss: 1.7371 2022/08/03 03:00:58 - mmengine - INFO - Epoch(train) [84][1600/1879] lr: 1.0000e-02 eta: 1 day, 1:34:00 time: 0.2935 data_time: 0.0320 memory: 8198 grad_norm: 5.4199 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5272 loss: 1.5272 2022/08/03 03:01:04 - mmengine - INFO - Epoch(train) [84][1620/1879] lr: 1.0000e-02 eta: 1 day, 1:33:54 time: 0.2819 data_time: 0.0218 memory: 8198 grad_norm: 5.4473 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4579 loss: 1.4579 2022/08/03 03:01:09 - mmengine - INFO - Epoch(train) [84][1640/1879] lr: 1.0000e-02 eta: 1 day, 1:33:49 time: 0.2814 data_time: 0.0214 memory: 8198 grad_norm: 5.3705 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5072 loss: 1.5072 2022/08/03 03:01:15 - mmengine - INFO - Epoch(train) [84][1660/1879] lr: 1.0000e-02 eta: 1 day, 1:33:43 time: 0.2860 data_time: 0.0232 memory: 8198 grad_norm: 5.3658 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5472 loss: 1.5472 2022/08/03 03:01:21 - mmengine - INFO - Epoch(train) [84][1680/1879] lr: 1.0000e-02 eta: 1 day, 1:33:37 time: 0.2856 data_time: 0.0246 memory: 8198 grad_norm: 5.4069 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6546 loss: 1.6546 2022/08/03 03:01:26 - mmengine - INFO - Epoch(train) [84][1700/1879] lr: 1.0000e-02 eta: 1 day, 1:33:32 time: 0.2837 data_time: 0.0234 memory: 8198 grad_norm: 5.4588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5820 loss: 1.5820 2022/08/03 03:01:32 - mmengine - INFO - Epoch(train) [84][1720/1879] lr: 1.0000e-02 eta: 1 day, 1:33:26 time: 0.2819 data_time: 0.0251 memory: 8198 grad_norm: 5.3079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5164 loss: 1.5164 2022/08/03 03:01:38 - mmengine - INFO - Epoch(train) [84][1740/1879] lr: 1.0000e-02 eta: 1 day, 1:33:20 time: 0.2860 data_time: 0.0291 memory: 8198 grad_norm: 5.5221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8147 loss: 1.8147 2022/08/03 03:01:43 - mmengine - INFO - Epoch(train) [84][1760/1879] lr: 1.0000e-02 eta: 1 day, 1:33:14 time: 0.2809 data_time: 0.0228 memory: 8198 grad_norm: 5.2576 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/03 03:01:49 - mmengine - INFO - Epoch(train) [84][1780/1879] lr: 1.0000e-02 eta: 1 day, 1:33:09 time: 0.2862 data_time: 0.0238 memory: 8198 grad_norm: 5.2708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6427 loss: 1.6427 2022/08/03 03:01:55 - mmengine - INFO - Epoch(train) [84][1800/1879] lr: 1.0000e-02 eta: 1 day, 1:33:03 time: 0.2830 data_time: 0.0206 memory: 8198 grad_norm: 5.4471 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5999 loss: 1.5999 2022/08/03 03:02:01 - mmengine - INFO - Epoch(train) [84][1820/1879] lr: 1.0000e-02 eta: 1 day, 1:32:57 time: 0.2890 data_time: 0.0237 memory: 8198 grad_norm: 5.5047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5451 loss: 1.5451 2022/08/03 03:02:06 - mmengine - INFO - Epoch(train) [84][1840/1879] lr: 1.0000e-02 eta: 1 day, 1:32:52 time: 0.2835 data_time: 0.0226 memory: 8198 grad_norm: 5.3744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/08/03 03:02:12 - mmengine - INFO - Epoch(train) [84][1860/1879] lr: 1.0000e-02 eta: 1 day, 1:32:46 time: 0.2875 data_time: 0.0252 memory: 8198 grad_norm: 5.6258 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7788 loss: 1.7788 2022/08/03 03:02:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:02:17 - mmengine - INFO - Epoch(train) [84][1879/1879] lr: 1.0000e-02 eta: 1 day, 1:32:46 time: 0.2559 data_time: 0.0162 memory: 8198 grad_norm: 5.4640 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.8273 loss: 1.8273 2022/08/03 03:02:17 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/03 03:02:27 - mmengine - INFO - Epoch(train) [85][20/1879] lr: 1.0000e-02 eta: 1 day, 1:32:27 time: 0.3626 data_time: 0.1053 memory: 8198 grad_norm: 5.0747 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6182 loss: 1.6182 2022/08/03 03:02:32 - mmengine - INFO - Epoch(train) [85][40/1879] lr: 1.0000e-02 eta: 1 day, 1:32:21 time: 0.2842 data_time: 0.0188 memory: 8198 grad_norm: 5.2885 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6700 loss: 1.6700 2022/08/03 03:02:38 - mmengine - INFO - Epoch(train) [85][60/1879] lr: 1.0000e-02 eta: 1 day, 1:32:16 time: 0.2960 data_time: 0.0229 memory: 8198 grad_norm: 5.5087 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6769 loss: 1.6769 2022/08/03 03:02:44 - mmengine - INFO - Epoch(train) [85][80/1879] lr: 1.0000e-02 eta: 1 day, 1:32:11 time: 0.2839 data_time: 0.0206 memory: 8198 grad_norm: 5.3594 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4532 loss: 1.4532 2022/08/03 03:02:50 - mmengine - INFO - Epoch(train) [85][100/1879] lr: 1.0000e-02 eta: 1 day, 1:32:05 time: 0.2861 data_time: 0.0231 memory: 8198 grad_norm: 5.4374 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4139 loss: 1.4139 2022/08/03 03:02:56 - mmengine - INFO - Epoch(train) [85][120/1879] lr: 1.0000e-02 eta: 1 day, 1:31:59 time: 0.2899 data_time: 0.0288 memory: 8198 grad_norm: 5.4180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5167 loss: 1.5167 2022/08/03 03:03:01 - mmengine - INFO - Epoch(train) [85][140/1879] lr: 1.0000e-02 eta: 1 day, 1:31:54 time: 0.2879 data_time: 0.0216 memory: 8198 grad_norm: 5.2673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5901 loss: 1.5901 2022/08/03 03:03:07 - mmengine - INFO - Epoch(train) [85][160/1879] lr: 1.0000e-02 eta: 1 day, 1:31:49 time: 0.2977 data_time: 0.0209 memory: 8198 grad_norm: 5.4595 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8252 loss: 1.8252 2022/08/03 03:03:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:03:13 - mmengine - INFO - Epoch(train) [85][180/1879] lr: 1.0000e-02 eta: 1 day, 1:31:43 time: 0.2875 data_time: 0.0299 memory: 8198 grad_norm: 5.3431 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5225 loss: 1.5225 2022/08/03 03:03:19 - mmengine - INFO - Epoch(train) [85][200/1879] lr: 1.0000e-02 eta: 1 day, 1:31:37 time: 0.2814 data_time: 0.0222 memory: 8198 grad_norm: 5.3730 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6182 loss: 1.6182 2022/08/03 03:03:24 - mmengine - INFO - Epoch(train) [85][220/1879] lr: 1.0000e-02 eta: 1 day, 1:31:32 time: 0.2822 data_time: 0.0226 memory: 8198 grad_norm: 5.4304 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7875 loss: 1.7875 2022/08/03 03:03:30 - mmengine - INFO - Epoch(train) [85][240/1879] lr: 1.0000e-02 eta: 1 day, 1:31:26 time: 0.2835 data_time: 0.0246 memory: 8198 grad_norm: 5.2662 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5891 loss: 1.5891 2022/08/03 03:03:36 - mmengine - INFO - Epoch(train) [85][260/1879] lr: 1.0000e-02 eta: 1 day, 1:31:21 time: 0.3067 data_time: 0.0246 memory: 8198 grad_norm: 5.3447 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7442 loss: 1.7442 2022/08/03 03:03:42 - mmengine - INFO - Epoch(train) [85][280/1879] lr: 1.0000e-02 eta: 1 day, 1:31:15 time: 0.2830 data_time: 0.0177 memory: 8198 grad_norm: 5.4107 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6996 loss: 1.6996 2022/08/03 03:03:48 - mmengine - INFO - Epoch(train) [85][300/1879] lr: 1.0000e-02 eta: 1 day, 1:31:10 time: 0.2882 data_time: 0.0260 memory: 8198 grad_norm: 5.3372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6049 loss: 1.6049 2022/08/03 03:03:53 - mmengine - INFO - Epoch(train) [85][320/1879] lr: 1.0000e-02 eta: 1 day, 1:31:04 time: 0.2842 data_time: 0.0277 memory: 8198 grad_norm: 5.3313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7070 loss: 1.7070 2022/08/03 03:03:59 - mmengine - INFO - Epoch(train) [85][340/1879] lr: 1.0000e-02 eta: 1 day, 1:30:59 time: 0.2899 data_time: 0.0297 memory: 8198 grad_norm: 5.5135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5520 loss: 1.5520 2022/08/03 03:04:05 - mmengine - INFO - Epoch(train) [85][360/1879] lr: 1.0000e-02 eta: 1 day, 1:30:53 time: 0.2818 data_time: 0.0212 memory: 8198 grad_norm: 5.4670 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4626 loss: 1.4626 2022/08/03 03:04:11 - mmengine - INFO - Epoch(train) [85][380/1879] lr: 1.0000e-02 eta: 1 day, 1:30:47 time: 0.2882 data_time: 0.0239 memory: 8198 grad_norm: 5.3865 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8206 loss: 1.8206 2022/08/03 03:04:16 - mmengine - INFO - Epoch(train) [85][400/1879] lr: 1.0000e-02 eta: 1 day, 1:30:42 time: 0.2865 data_time: 0.0217 memory: 8198 grad_norm: 5.3643 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7182 loss: 1.7182 2022/08/03 03:04:22 - mmengine - INFO - Epoch(train) [85][420/1879] lr: 1.0000e-02 eta: 1 day, 1:30:36 time: 0.2816 data_time: 0.0225 memory: 8198 grad_norm: 5.3138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8374 loss: 1.8374 2022/08/03 03:04:28 - mmengine - INFO - Epoch(train) [85][440/1879] lr: 1.0000e-02 eta: 1 day, 1:30:30 time: 0.2826 data_time: 0.0195 memory: 8198 grad_norm: 5.3634 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4138 loss: 1.4138 2022/08/03 03:04:33 - mmengine - INFO - Epoch(train) [85][460/1879] lr: 1.0000e-02 eta: 1 day, 1:30:24 time: 0.2853 data_time: 0.0227 memory: 8198 grad_norm: 5.3545 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8037 loss: 1.8037 2022/08/03 03:04:39 - mmengine - INFO - Epoch(train) [85][480/1879] lr: 1.0000e-02 eta: 1 day, 1:30:19 time: 0.2872 data_time: 0.0241 memory: 8198 grad_norm: 5.4866 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6389 loss: 1.6389 2022/08/03 03:04:45 - mmengine - INFO - Epoch(train) [85][500/1879] lr: 1.0000e-02 eta: 1 day, 1:30:13 time: 0.2804 data_time: 0.0211 memory: 8198 grad_norm: 5.3836 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5776 loss: 1.5776 2022/08/03 03:04:51 - mmengine - INFO - Epoch(train) [85][520/1879] lr: 1.0000e-02 eta: 1 day, 1:30:08 time: 0.2934 data_time: 0.0214 memory: 8198 grad_norm: 5.4974 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6695 loss: 1.6695 2022/08/03 03:04:56 - mmengine - INFO - Epoch(train) [85][540/1879] lr: 1.0000e-02 eta: 1 day, 1:30:02 time: 0.2844 data_time: 0.0244 memory: 8198 grad_norm: 5.5497 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5767 loss: 1.5767 2022/08/03 03:05:02 - mmengine - INFO - Epoch(train) [85][560/1879] lr: 1.0000e-02 eta: 1 day, 1:29:56 time: 0.2885 data_time: 0.0216 memory: 8198 grad_norm: 5.4237 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7387 loss: 1.7387 2022/08/03 03:05:08 - mmengine - INFO - Epoch(train) [85][580/1879] lr: 1.0000e-02 eta: 1 day, 1:29:51 time: 0.2822 data_time: 0.0200 memory: 8198 grad_norm: 5.3596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6277 loss: 1.6277 2022/08/03 03:05:13 - mmengine - INFO - Epoch(train) [85][600/1879] lr: 1.0000e-02 eta: 1 day, 1:29:45 time: 0.2787 data_time: 0.0209 memory: 8198 grad_norm: 5.4340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6394 loss: 1.6394 2022/08/03 03:05:19 - mmengine - INFO - Epoch(train) [85][620/1879] lr: 1.0000e-02 eta: 1 day, 1:29:39 time: 0.2820 data_time: 0.0203 memory: 8198 grad_norm: 5.4328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7131 loss: 1.7131 2022/08/03 03:05:25 - mmengine - INFO - Epoch(train) [85][640/1879] lr: 1.0000e-02 eta: 1 day, 1:29:33 time: 0.2825 data_time: 0.0245 memory: 8198 grad_norm: 5.2757 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6761 loss: 1.6761 2022/08/03 03:05:30 - mmengine - INFO - Epoch(train) [85][660/1879] lr: 1.0000e-02 eta: 1 day, 1:29:27 time: 0.2835 data_time: 0.0219 memory: 8198 grad_norm: 5.2334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5292 loss: 1.5292 2022/08/03 03:05:36 - mmengine - INFO - Epoch(train) [85][680/1879] lr: 1.0000e-02 eta: 1 day, 1:29:22 time: 0.2858 data_time: 0.0200 memory: 8198 grad_norm: 5.4879 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5869 loss: 1.5869 2022/08/03 03:05:42 - mmengine - INFO - Epoch(train) [85][700/1879] lr: 1.0000e-02 eta: 1 day, 1:29:16 time: 0.2859 data_time: 0.0185 memory: 8198 grad_norm: 5.4699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5314 loss: 1.5314 2022/08/03 03:05:48 - mmengine - INFO - Epoch(train) [85][720/1879] lr: 1.0000e-02 eta: 1 day, 1:29:10 time: 0.2835 data_time: 0.0216 memory: 8198 grad_norm: 5.4472 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8047 loss: 1.8047 2022/08/03 03:05:53 - mmengine - INFO - Epoch(train) [85][740/1879] lr: 1.0000e-02 eta: 1 day, 1:29:05 time: 0.2841 data_time: 0.0242 memory: 8198 grad_norm: 5.4059 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4993 loss: 1.4993 2022/08/03 03:05:59 - mmengine - INFO - Epoch(train) [85][760/1879] lr: 1.0000e-02 eta: 1 day, 1:28:59 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 5.5558 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4830 loss: 1.4830 2022/08/03 03:06:05 - mmengine - INFO - Epoch(train) [85][780/1879] lr: 1.0000e-02 eta: 1 day, 1:28:53 time: 0.2840 data_time: 0.0267 memory: 8198 grad_norm: 5.4319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7064 loss: 1.7064 2022/08/03 03:06:10 - mmengine - INFO - Epoch(train) [85][800/1879] lr: 1.0000e-02 eta: 1 day, 1:28:48 time: 0.2903 data_time: 0.0226 memory: 8198 grad_norm: 5.4440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6819 loss: 1.6819 2022/08/03 03:06:16 - mmengine - INFO - Epoch(train) [85][820/1879] lr: 1.0000e-02 eta: 1 day, 1:28:42 time: 0.2883 data_time: 0.0322 memory: 8198 grad_norm: 5.5355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6937 loss: 1.6937 2022/08/03 03:06:22 - mmengine - INFO - Epoch(train) [85][840/1879] lr: 1.0000e-02 eta: 1 day, 1:28:37 time: 0.2939 data_time: 0.0166 memory: 8198 grad_norm: 5.5245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8261 loss: 1.8261 2022/08/03 03:06:28 - mmengine - INFO - Epoch(train) [85][860/1879] lr: 1.0000e-02 eta: 1 day, 1:28:31 time: 0.2806 data_time: 0.0211 memory: 8198 grad_norm: 5.4837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5691 loss: 1.5691 2022/08/03 03:06:33 - mmengine - INFO - Epoch(train) [85][880/1879] lr: 1.0000e-02 eta: 1 day, 1:28:25 time: 0.2798 data_time: 0.0193 memory: 8198 grad_norm: 5.5990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6782 loss: 1.6782 2022/08/03 03:06:39 - mmengine - INFO - Epoch(train) [85][900/1879] lr: 1.0000e-02 eta: 1 day, 1:28:20 time: 0.2863 data_time: 0.0222 memory: 8198 grad_norm: 5.4744 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7405 loss: 1.7405 2022/08/03 03:06:45 - mmengine - INFO - Epoch(train) [85][920/1879] lr: 1.0000e-02 eta: 1 day, 1:28:14 time: 0.2853 data_time: 0.0198 memory: 8198 grad_norm: 5.3451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/08/03 03:06:50 - mmengine - INFO - Epoch(train) [85][940/1879] lr: 1.0000e-02 eta: 1 day, 1:28:08 time: 0.2822 data_time: 0.0196 memory: 8198 grad_norm: 5.3005 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5906 loss: 1.5906 2022/08/03 03:06:56 - mmengine - INFO - Epoch(train) [85][960/1879] lr: 1.0000e-02 eta: 1 day, 1:28:03 time: 0.2877 data_time: 0.0294 memory: 8198 grad_norm: 5.4195 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7154 loss: 1.7154 2022/08/03 03:07:02 - mmengine - INFO - Epoch(train) [85][980/1879] lr: 1.0000e-02 eta: 1 day, 1:27:57 time: 0.2863 data_time: 0.0245 memory: 8198 grad_norm: 5.4838 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7180 loss: 1.7180 2022/08/03 03:07:08 - mmengine - INFO - Epoch(train) [85][1000/1879] lr: 1.0000e-02 eta: 1 day, 1:27:51 time: 0.2840 data_time: 0.0232 memory: 8198 grad_norm: 5.3558 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5565 loss: 1.5565 2022/08/03 03:07:13 - mmengine - INFO - Epoch(train) [85][1020/1879] lr: 1.0000e-02 eta: 1 day, 1:27:46 time: 0.2866 data_time: 0.0267 memory: 8198 grad_norm: 5.4815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6549 loss: 1.6549 2022/08/03 03:07:19 - mmengine - INFO - Epoch(train) [85][1040/1879] lr: 1.0000e-02 eta: 1 day, 1:27:40 time: 0.2858 data_time: 0.0209 memory: 8198 grad_norm: 5.4528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7298 loss: 1.7298 2022/08/03 03:07:25 - mmengine - INFO - Epoch(train) [85][1060/1879] lr: 1.0000e-02 eta: 1 day, 1:27:34 time: 0.2868 data_time: 0.0241 memory: 8198 grad_norm: 5.3760 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8242 loss: 1.8242 2022/08/03 03:07:31 - mmengine - INFO - Epoch(train) [85][1080/1879] lr: 1.0000e-02 eta: 1 day, 1:27:29 time: 0.2816 data_time: 0.0217 memory: 8198 grad_norm: 5.2035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5046 loss: 1.5046 2022/08/03 03:07:36 - mmengine - INFO - Epoch(train) [85][1100/1879] lr: 1.0000e-02 eta: 1 day, 1:27:23 time: 0.2910 data_time: 0.0269 memory: 8198 grad_norm: 5.4268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7765 loss: 1.7765 2022/08/03 03:07:42 - mmengine - INFO - Epoch(train) [85][1120/1879] lr: 1.0000e-02 eta: 1 day, 1:27:17 time: 0.2849 data_time: 0.0179 memory: 8198 grad_norm: 5.3770 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7492 loss: 1.7492 2022/08/03 03:07:48 - mmengine - INFO - Epoch(train) [85][1140/1879] lr: 1.0000e-02 eta: 1 day, 1:27:12 time: 0.2838 data_time: 0.0243 memory: 8198 grad_norm: 5.5130 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8457 loss: 1.8457 2022/08/03 03:07:54 - mmengine - INFO - Epoch(train) [85][1160/1879] lr: 1.0000e-02 eta: 1 day, 1:27:06 time: 0.2942 data_time: 0.0231 memory: 8198 grad_norm: 5.3036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5999 loss: 1.5999 2022/08/03 03:07:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:07:59 - mmengine - INFO - Epoch(train) [85][1180/1879] lr: 1.0000e-02 eta: 1 day, 1:27:01 time: 0.2847 data_time: 0.0258 memory: 8198 grad_norm: 5.2311 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6218 loss: 1.6218 2022/08/03 03:08:05 - mmengine - INFO - Epoch(train) [85][1200/1879] lr: 1.0000e-02 eta: 1 day, 1:26:55 time: 0.2871 data_time: 0.0231 memory: 8198 grad_norm: 5.5306 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6992 loss: 1.6992 2022/08/03 03:08:11 - mmengine - INFO - Epoch(train) [85][1220/1879] lr: 1.0000e-02 eta: 1 day, 1:26:50 time: 0.2884 data_time: 0.0302 memory: 8198 grad_norm: 5.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6419 loss: 1.6419 2022/08/03 03:08:17 - mmengine - INFO - Epoch(train) [85][1240/1879] lr: 1.0000e-02 eta: 1 day, 1:26:44 time: 0.2810 data_time: 0.0195 memory: 8198 grad_norm: 5.1806 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5471 loss: 1.5471 2022/08/03 03:08:22 - mmengine - INFO - Epoch(train) [85][1260/1879] lr: 1.0000e-02 eta: 1 day, 1:26:38 time: 0.2851 data_time: 0.0240 memory: 8198 grad_norm: 5.5592 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6794 loss: 1.6794 2022/08/03 03:08:28 - mmengine - INFO - Epoch(train) [85][1280/1879] lr: 1.0000e-02 eta: 1 day, 1:26:32 time: 0.2847 data_time: 0.0220 memory: 8198 grad_norm: 5.4067 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7586 loss: 1.7586 2022/08/03 03:08:34 - mmengine - INFO - Epoch(train) [85][1300/1879] lr: 1.0000e-02 eta: 1 day, 1:26:27 time: 0.2832 data_time: 0.0260 memory: 8198 grad_norm: 5.3504 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7366 loss: 1.7366 2022/08/03 03:08:39 - mmengine - INFO - Epoch(train) [85][1320/1879] lr: 1.0000e-02 eta: 1 day, 1:26:21 time: 0.2848 data_time: 0.0253 memory: 8198 grad_norm: 5.3488 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7255 loss: 1.7255 2022/08/03 03:08:45 - mmengine - INFO - Epoch(train) [85][1340/1879] lr: 1.0000e-02 eta: 1 day, 1:26:15 time: 0.2841 data_time: 0.0193 memory: 8198 grad_norm: 5.4856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6881 loss: 1.6881 2022/08/03 03:08:51 - mmengine - INFO - Epoch(train) [85][1360/1879] lr: 1.0000e-02 eta: 1 day, 1:26:10 time: 0.2894 data_time: 0.0251 memory: 8198 grad_norm: 5.2891 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7493 loss: 1.7493 2022/08/03 03:08:57 - mmengine - INFO - Epoch(train) [85][1380/1879] lr: 1.0000e-02 eta: 1 day, 1:26:04 time: 0.2839 data_time: 0.0190 memory: 8198 grad_norm: 5.3072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4985 loss: 1.4985 2022/08/03 03:09:02 - mmengine - INFO - Epoch(train) [85][1400/1879] lr: 1.0000e-02 eta: 1 day, 1:25:58 time: 0.2834 data_time: 0.0262 memory: 8198 grad_norm: 5.3005 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5816 loss: 1.5816 2022/08/03 03:09:08 - mmengine - INFO - Epoch(train) [85][1420/1879] lr: 1.0000e-02 eta: 1 day, 1:25:53 time: 0.2826 data_time: 0.0202 memory: 8198 grad_norm: 5.2902 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6194 loss: 1.6194 2022/08/03 03:09:14 - mmengine - INFO - Epoch(train) [85][1440/1879] lr: 1.0000e-02 eta: 1 day, 1:25:47 time: 0.2851 data_time: 0.0240 memory: 8198 grad_norm: 5.4749 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6617 loss: 1.6617 2022/08/03 03:09:19 - mmengine - INFO - Epoch(train) [85][1460/1879] lr: 1.0000e-02 eta: 1 day, 1:25:41 time: 0.2884 data_time: 0.0261 memory: 8198 grad_norm: 5.4222 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/08/03 03:09:25 - mmengine - INFO - Epoch(train) [85][1480/1879] lr: 1.0000e-02 eta: 1 day, 1:25:36 time: 0.2969 data_time: 0.0391 memory: 8198 grad_norm: 5.2928 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7029 loss: 1.7029 2022/08/03 03:09:31 - mmengine - INFO - Epoch(train) [85][1500/1879] lr: 1.0000e-02 eta: 1 day, 1:25:30 time: 0.2821 data_time: 0.0215 memory: 8198 grad_norm: 5.3083 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/08/03 03:09:37 - mmengine - INFO - Epoch(train) [85][1520/1879] lr: 1.0000e-02 eta: 1 day, 1:25:25 time: 0.2995 data_time: 0.0253 memory: 8198 grad_norm: 5.6478 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7585 loss: 1.7585 2022/08/03 03:09:43 - mmengine - INFO - Epoch(train) [85][1540/1879] lr: 1.0000e-02 eta: 1 day, 1:25:20 time: 0.2819 data_time: 0.0232 memory: 8198 grad_norm: 5.3590 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7983 loss: 1.7983 2022/08/03 03:09:48 - mmengine - INFO - Epoch(train) [85][1560/1879] lr: 1.0000e-02 eta: 1 day, 1:25:14 time: 0.2826 data_time: 0.0269 memory: 8198 grad_norm: 5.3641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8296 loss: 1.8296 2022/08/03 03:09:54 - mmengine - INFO - Epoch(train) [85][1580/1879] lr: 1.0000e-02 eta: 1 day, 1:25:08 time: 0.2822 data_time: 0.0236 memory: 8198 grad_norm: 5.1427 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4993 loss: 1.4993 2022/08/03 03:10:00 - mmengine - INFO - Epoch(train) [85][1600/1879] lr: 1.0000e-02 eta: 1 day, 1:25:02 time: 0.2842 data_time: 0.0243 memory: 8198 grad_norm: 5.3770 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6171 loss: 1.6171 2022/08/03 03:10:05 - mmengine - INFO - Epoch(train) [85][1620/1879] lr: 1.0000e-02 eta: 1 day, 1:24:57 time: 0.2832 data_time: 0.0246 memory: 8198 grad_norm: 5.5884 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7452 loss: 1.7452 2022/08/03 03:10:11 - mmengine - INFO - Epoch(train) [85][1640/1879] lr: 1.0000e-02 eta: 1 day, 1:24:51 time: 0.2867 data_time: 0.0212 memory: 8198 grad_norm: 5.3977 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9587 loss: 1.9587 2022/08/03 03:10:17 - mmengine - INFO - Epoch(train) [85][1660/1879] lr: 1.0000e-02 eta: 1 day, 1:24:45 time: 0.2910 data_time: 0.0242 memory: 8198 grad_norm: 5.4550 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8806 loss: 1.8806 2022/08/03 03:10:23 - mmengine - INFO - Epoch(train) [85][1680/1879] lr: 1.0000e-02 eta: 1 day, 1:24:40 time: 0.2833 data_time: 0.0200 memory: 8198 grad_norm: 5.3226 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6824 loss: 1.6824 2022/08/03 03:10:28 - mmengine - INFO - Epoch(train) [85][1700/1879] lr: 1.0000e-02 eta: 1 day, 1:24:34 time: 0.2884 data_time: 0.0292 memory: 8198 grad_norm: 5.4007 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6156 loss: 1.6156 2022/08/03 03:10:34 - mmengine - INFO - Epoch(train) [85][1720/1879] lr: 1.0000e-02 eta: 1 day, 1:24:29 time: 0.2856 data_time: 0.0212 memory: 8198 grad_norm: 5.3739 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4328 loss: 1.4328 2022/08/03 03:10:40 - mmengine - INFO - Epoch(train) [85][1740/1879] lr: 1.0000e-02 eta: 1 day, 1:24:23 time: 0.2875 data_time: 0.0232 memory: 8198 grad_norm: 5.4141 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4965 loss: 1.4965 2022/08/03 03:10:46 - mmengine - INFO - Epoch(train) [85][1760/1879] lr: 1.0000e-02 eta: 1 day, 1:24:17 time: 0.2812 data_time: 0.0222 memory: 8198 grad_norm: 5.3470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8129 loss: 1.8129 2022/08/03 03:10:51 - mmengine - INFO - Epoch(train) [85][1780/1879] lr: 1.0000e-02 eta: 1 day, 1:24:11 time: 0.2840 data_time: 0.0234 memory: 8198 grad_norm: 5.3926 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5883 loss: 1.5883 2022/08/03 03:10:57 - mmengine - INFO - Epoch(train) [85][1800/1879] lr: 1.0000e-02 eta: 1 day, 1:24:06 time: 0.2925 data_time: 0.0194 memory: 8198 grad_norm: 5.3281 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6351 loss: 1.6351 2022/08/03 03:11:03 - mmengine - INFO - Epoch(train) [85][1820/1879] lr: 1.0000e-02 eta: 1 day, 1:24:00 time: 0.2828 data_time: 0.0241 memory: 8198 grad_norm: 5.2329 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5177 loss: 1.5177 2022/08/03 03:11:08 - mmengine - INFO - Epoch(train) [85][1840/1879] lr: 1.0000e-02 eta: 1 day, 1:23:55 time: 0.2827 data_time: 0.0257 memory: 8198 grad_norm: 5.3334 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4845 loss: 1.4845 2022/08/03 03:11:14 - mmengine - INFO - Epoch(train) [85][1860/1879] lr: 1.0000e-02 eta: 1 day, 1:23:49 time: 0.2893 data_time: 0.0229 memory: 8198 grad_norm: 5.4554 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6906 loss: 1.6906 2022/08/03 03:11:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:11:19 - mmengine - INFO - Epoch(train) [85][1879/1879] lr: 1.0000e-02 eta: 1 day, 1:23:49 time: 0.2538 data_time: 0.0131 memory: 8198 grad_norm: 5.4606 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.8399 loss: 1.8399 2022/08/03 03:11:26 - mmengine - INFO - Epoch(val) [85][20/155] eta: 0:00:45 time: 0.3351 data_time: 0.2428 memory: 1514 2022/08/03 03:11:30 - mmengine - INFO - Epoch(val) [85][40/155] eta: 0:00:26 time: 0.2293 data_time: 0.1401 memory: 1514 2022/08/03 03:11:36 - mmengine - INFO - Epoch(val) [85][60/155] eta: 0:00:25 time: 0.2724 data_time: 0.1874 memory: 1514 2022/08/03 03:11:41 - mmengine - INFO - Epoch(val) [85][80/155] eta: 0:00:19 time: 0.2603 data_time: 0.1686 memory: 1514 2022/08/03 03:11:47 - mmengine - INFO - Epoch(val) [85][100/155] eta: 0:00:15 time: 0.2878 data_time: 0.1979 memory: 1514 2022/08/03 03:11:51 - mmengine - INFO - Epoch(val) [85][120/155] eta: 0:00:07 time: 0.2247 data_time: 0.1390 memory: 1514 2022/08/03 03:11:58 - mmengine - INFO - Epoch(val) [85][140/155] eta: 0:00:04 time: 0.3186 data_time: 0.2280 memory: 1514 2022/08/03 03:12:03 - mmengine - INFO - Epoch(val) [85][155/155] acc/top1: 0.6355 acc/top5: 0.8452 acc/mean1: 0.6354 2022/08/03 03:12:11 - mmengine - INFO - Epoch(train) [86][20/1879] lr: 1.0000e-02 eta: 1 day, 1:23:32 time: 0.4073 data_time: 0.1057 memory: 8198 grad_norm: 5.3626 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5926 loss: 1.5926 2022/08/03 03:12:17 - mmengine - INFO - Epoch(train) [86][40/1879] lr: 1.0000e-02 eta: 1 day, 1:23:27 time: 0.2978 data_time: 0.0210 memory: 8198 grad_norm: 5.3505 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5662 loss: 1.5662 2022/08/03 03:12:23 - mmengine - INFO - Epoch(train) [86][60/1879] lr: 1.0000e-02 eta: 1 day, 1:23:21 time: 0.2911 data_time: 0.0290 memory: 8198 grad_norm: 5.4312 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7007 loss: 1.7007 2022/08/03 03:12:29 - mmengine - INFO - Epoch(train) [86][80/1879] lr: 1.0000e-02 eta: 1 day, 1:23:16 time: 0.2869 data_time: 0.0187 memory: 8198 grad_norm: 5.2217 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8189 loss: 1.8189 2022/08/03 03:12:35 - mmengine - INFO - Epoch(train) [86][100/1879] lr: 1.0000e-02 eta: 1 day, 1:23:10 time: 0.2898 data_time: 0.0229 memory: 8198 grad_norm: 5.4139 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6244 loss: 1.6244 2022/08/03 03:12:40 - mmengine - INFO - Epoch(train) [86][120/1879] lr: 1.0000e-02 eta: 1 day, 1:23:05 time: 0.2804 data_time: 0.0219 memory: 8198 grad_norm: 5.2442 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5444 loss: 1.5444 2022/08/03 03:12:46 - mmengine - INFO - Epoch(train) [86][140/1879] lr: 1.0000e-02 eta: 1 day, 1:22:59 time: 0.2830 data_time: 0.0228 memory: 8198 grad_norm: 5.3352 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5423 loss: 1.5423 2022/08/03 03:12:52 - mmengine - INFO - Epoch(train) [86][160/1879] lr: 1.0000e-02 eta: 1 day, 1:22:53 time: 0.2845 data_time: 0.0233 memory: 8198 grad_norm: 5.2008 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6632 loss: 1.6632 2022/08/03 03:12:57 - mmengine - INFO - Epoch(train) [86][180/1879] lr: 1.0000e-02 eta: 1 day, 1:22:47 time: 0.2849 data_time: 0.0231 memory: 8198 grad_norm: 5.3781 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6320 loss: 1.6320 2022/08/03 03:13:03 - mmengine - INFO - Epoch(train) [86][200/1879] lr: 1.0000e-02 eta: 1 day, 1:22:42 time: 0.2849 data_time: 0.0224 memory: 8198 grad_norm: 5.3927 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6307 loss: 1.6307 2022/08/03 03:13:09 - mmengine - INFO - Epoch(train) [86][220/1879] lr: 1.0000e-02 eta: 1 day, 1:22:36 time: 0.2844 data_time: 0.0212 memory: 8198 grad_norm: 5.2896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4224 loss: 1.4224 2022/08/03 03:13:14 - mmengine - INFO - Epoch(train) [86][240/1879] lr: 1.0000e-02 eta: 1 day, 1:22:30 time: 0.2814 data_time: 0.0220 memory: 8198 grad_norm: 5.3496 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6720 loss: 1.6720 2022/08/03 03:13:20 - mmengine - INFO - Epoch(train) [86][260/1879] lr: 1.0000e-02 eta: 1 day, 1:22:25 time: 0.2839 data_time: 0.0253 memory: 8198 grad_norm: 5.4171 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5569 loss: 1.5569 2022/08/03 03:13:26 - mmengine - INFO - Epoch(train) [86][280/1879] lr: 1.0000e-02 eta: 1 day, 1:22:19 time: 0.2919 data_time: 0.0249 memory: 8198 grad_norm: 5.3961 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5875 loss: 1.5875 2022/08/03 03:13:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:13:32 - mmengine - INFO - Epoch(train) [86][300/1879] lr: 1.0000e-02 eta: 1 day, 1:22:13 time: 0.2840 data_time: 0.0272 memory: 8198 grad_norm: 5.5145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6757 loss: 1.6757 2022/08/03 03:13:37 - mmengine - INFO - Epoch(train) [86][320/1879] lr: 1.0000e-02 eta: 1 day, 1:22:08 time: 0.2835 data_time: 0.0241 memory: 8198 grad_norm: 5.4165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9141 loss: 1.9141 2022/08/03 03:13:43 - mmengine - INFO - Epoch(train) [86][340/1879] lr: 1.0000e-02 eta: 1 day, 1:22:02 time: 0.2830 data_time: 0.0214 memory: 8198 grad_norm: 5.2938 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7145 loss: 1.7145 2022/08/03 03:13:49 - mmengine - INFO - Epoch(train) [86][360/1879] lr: 1.0000e-02 eta: 1 day, 1:21:56 time: 0.2887 data_time: 0.0199 memory: 8198 grad_norm: 5.4367 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6471 loss: 1.6471 2022/08/03 03:13:54 - mmengine - INFO - Epoch(train) [86][380/1879] lr: 1.0000e-02 eta: 1 day, 1:21:51 time: 0.2901 data_time: 0.0222 memory: 8198 grad_norm: 5.4409 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7032 loss: 1.7032 2022/08/03 03:14:00 - mmengine - INFO - Epoch(train) [86][400/1879] lr: 1.0000e-02 eta: 1 day, 1:21:45 time: 0.2875 data_time: 0.0189 memory: 8198 grad_norm: 5.4682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7735 loss: 1.7735 2022/08/03 03:14:06 - mmengine - INFO - Epoch(train) [86][420/1879] lr: 1.0000e-02 eta: 1 day, 1:21:40 time: 0.2821 data_time: 0.0241 memory: 8198 grad_norm: 5.5376 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5792 loss: 1.5792 2022/08/03 03:14:12 - mmengine - INFO - Epoch(train) [86][440/1879] lr: 1.0000e-02 eta: 1 day, 1:21:34 time: 0.2840 data_time: 0.0179 memory: 8198 grad_norm: 5.3887 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6257 loss: 1.6257 2022/08/03 03:14:17 - mmengine - INFO - Epoch(train) [86][460/1879] lr: 1.0000e-02 eta: 1 day, 1:21:28 time: 0.2825 data_time: 0.0242 memory: 8198 grad_norm: 5.4592 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8668 loss: 1.8668 2022/08/03 03:14:23 - mmengine - INFO - Epoch(train) [86][480/1879] lr: 1.0000e-02 eta: 1 day, 1:21:22 time: 0.2865 data_time: 0.0241 memory: 8198 grad_norm: 5.3774 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7315 loss: 1.7315 2022/08/03 03:14:29 - mmengine - INFO - Epoch(train) [86][500/1879] lr: 1.0000e-02 eta: 1 day, 1:21:17 time: 0.2892 data_time: 0.0250 memory: 8198 grad_norm: 5.3867 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4816 loss: 1.4816 2022/08/03 03:14:34 - mmengine - INFO - Epoch(train) [86][520/1879] lr: 1.0000e-02 eta: 1 day, 1:21:11 time: 0.2811 data_time: 0.0244 memory: 8198 grad_norm: 5.3921 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7652 loss: 1.7652 2022/08/03 03:14:40 - mmengine - INFO - Epoch(train) [86][540/1879] lr: 1.0000e-02 eta: 1 day, 1:21:05 time: 0.2834 data_time: 0.0239 memory: 8198 grad_norm: 5.2794 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8230 loss: 1.8230 2022/08/03 03:14:46 - mmengine - INFO - Epoch(train) [86][560/1879] lr: 1.0000e-02 eta: 1 day, 1:21:00 time: 0.2827 data_time: 0.0231 memory: 8198 grad_norm: 5.4289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4427 loss: 1.4427 2022/08/03 03:14:52 - mmengine - INFO - Epoch(train) [86][580/1879] lr: 1.0000e-02 eta: 1 day, 1:20:54 time: 0.2847 data_time: 0.0246 memory: 8198 grad_norm: 5.5030 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7299 loss: 1.7299 2022/08/03 03:14:57 - mmengine - INFO - Epoch(train) [86][600/1879] lr: 1.0000e-02 eta: 1 day, 1:20:48 time: 0.2876 data_time: 0.0217 memory: 8198 grad_norm: 5.2777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5618 loss: 1.5618 2022/08/03 03:15:03 - mmengine - INFO - Epoch(train) [86][620/1879] lr: 1.0000e-02 eta: 1 day, 1:20:43 time: 0.2816 data_time: 0.0247 memory: 8198 grad_norm: 5.3871 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7064 loss: 1.7064 2022/08/03 03:15:09 - mmengine - INFO - Epoch(train) [86][640/1879] lr: 1.0000e-02 eta: 1 day, 1:20:37 time: 0.2887 data_time: 0.0210 memory: 8198 grad_norm: 5.3291 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5445 loss: 1.5445 2022/08/03 03:15:15 - mmengine - INFO - Epoch(train) [86][660/1879] lr: 1.0000e-02 eta: 1 day, 1:20:32 time: 0.2983 data_time: 0.0213 memory: 8198 grad_norm: 5.3048 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8956 loss: 1.8956 2022/08/03 03:15:20 - mmengine - INFO - Epoch(train) [86][680/1879] lr: 1.0000e-02 eta: 1 day, 1:20:26 time: 0.2852 data_time: 0.0212 memory: 8198 grad_norm: 5.4138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6330 loss: 1.6330 2022/08/03 03:15:26 - mmengine - INFO - Epoch(train) [86][700/1879] lr: 1.0000e-02 eta: 1 day, 1:20:20 time: 0.2819 data_time: 0.0225 memory: 8198 grad_norm: 5.3890 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6683 loss: 1.6683 2022/08/03 03:15:32 - mmengine - INFO - Epoch(train) [86][720/1879] lr: 1.0000e-02 eta: 1 day, 1:20:15 time: 0.2856 data_time: 0.0230 memory: 8198 grad_norm: 5.5817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5051 loss: 1.5051 2022/08/03 03:15:38 - mmengine - INFO - Epoch(train) [86][740/1879] lr: 1.0000e-02 eta: 1 day, 1:20:10 time: 0.2939 data_time: 0.0239 memory: 8198 grad_norm: 5.3077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4843 loss: 1.4843 2022/08/03 03:15:43 - mmengine - INFO - Epoch(train) [86][760/1879] lr: 1.0000e-02 eta: 1 day, 1:20:04 time: 0.2822 data_time: 0.0210 memory: 8198 grad_norm: 5.3759 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7159 loss: 1.7159 2022/08/03 03:15:49 - mmengine - INFO - Epoch(train) [86][780/1879] lr: 1.0000e-02 eta: 1 day, 1:19:58 time: 0.2877 data_time: 0.0216 memory: 8198 grad_norm: 5.4432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4335 loss: 1.4335 2022/08/03 03:15:55 - mmengine - INFO - Epoch(train) [86][800/1879] lr: 1.0000e-02 eta: 1 day, 1:19:53 time: 0.2881 data_time: 0.0201 memory: 8198 grad_norm: 5.4180 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7014 loss: 1.7014 2022/08/03 03:16:01 - mmengine - INFO - Epoch(train) [86][820/1879] lr: 1.0000e-02 eta: 1 day, 1:19:47 time: 0.2885 data_time: 0.0271 memory: 8198 grad_norm: 5.3955 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4917 loss: 1.4917 2022/08/03 03:16:06 - mmengine - INFO - Epoch(train) [86][840/1879] lr: 1.0000e-02 eta: 1 day, 1:19:41 time: 0.2823 data_time: 0.0234 memory: 8198 grad_norm: 5.5715 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5048 loss: 1.5048 2022/08/03 03:16:12 - mmengine - INFO - Epoch(train) [86][860/1879] lr: 1.0000e-02 eta: 1 day, 1:19:36 time: 0.2821 data_time: 0.0249 memory: 8198 grad_norm: 5.5098 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6895 loss: 1.6895 2022/08/03 03:16:18 - mmengine - INFO - Epoch(train) [86][880/1879] lr: 1.0000e-02 eta: 1 day, 1:19:30 time: 0.2837 data_time: 0.0192 memory: 8198 grad_norm: 5.4145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/08/03 03:16:23 - mmengine - INFO - Epoch(train) [86][900/1879] lr: 1.0000e-02 eta: 1 day, 1:19:24 time: 0.2844 data_time: 0.0266 memory: 8198 grad_norm: 5.3792 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9787 loss: 1.9787 2022/08/03 03:16:29 - mmengine - INFO - Epoch(train) [86][920/1879] lr: 1.0000e-02 eta: 1 day, 1:19:19 time: 0.2930 data_time: 0.0216 memory: 8198 grad_norm: 5.4318 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4758 loss: 1.4758 2022/08/03 03:16:35 - mmengine - INFO - Epoch(train) [86][940/1879] lr: 1.0000e-02 eta: 1 day, 1:19:13 time: 0.2803 data_time: 0.0218 memory: 8198 grad_norm: 5.4853 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5801 loss: 1.5801 2022/08/03 03:16:41 - mmengine - INFO - Epoch(train) [86][960/1879] lr: 1.0000e-02 eta: 1 day, 1:19:07 time: 0.2841 data_time: 0.0250 memory: 8198 grad_norm: 5.4832 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6693 loss: 1.6693 2022/08/03 03:16:46 - mmengine - INFO - Epoch(train) [86][980/1879] lr: 1.0000e-02 eta: 1 day, 1:19:01 time: 0.2847 data_time: 0.0245 memory: 8198 grad_norm: 5.4543 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7078 loss: 1.7078 2022/08/03 03:16:52 - mmengine - INFO - Epoch(train) [86][1000/1879] lr: 1.0000e-02 eta: 1 day, 1:18:56 time: 0.2985 data_time: 0.0221 memory: 8198 grad_norm: 5.4911 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6490 loss: 1.6490 2022/08/03 03:16:58 - mmengine - INFO - Epoch(train) [86][1020/1879] lr: 1.0000e-02 eta: 1 day, 1:18:51 time: 0.2832 data_time: 0.0243 memory: 8198 grad_norm: 5.2811 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5530 loss: 1.5530 2022/08/03 03:17:04 - mmengine - INFO - Epoch(train) [86][1040/1879] lr: 1.0000e-02 eta: 1 day, 1:18:45 time: 0.2812 data_time: 0.0198 memory: 8198 grad_norm: 5.5176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7718 loss: 1.7718 2022/08/03 03:17:09 - mmengine - INFO - Epoch(train) [86][1060/1879] lr: 1.0000e-02 eta: 1 day, 1:18:39 time: 0.2864 data_time: 0.0253 memory: 8198 grad_norm: 5.4292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5351 loss: 1.5351 2022/08/03 03:17:15 - mmengine - INFO - Epoch(train) [86][1080/1879] lr: 1.0000e-02 eta: 1 day, 1:18:33 time: 0.2802 data_time: 0.0188 memory: 8198 grad_norm: 5.3891 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6213 loss: 1.6213 2022/08/03 03:17:21 - mmengine - INFO - Epoch(train) [86][1100/1879] lr: 1.0000e-02 eta: 1 day, 1:18:28 time: 0.2829 data_time: 0.0221 memory: 8198 grad_norm: 5.5806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/08/03 03:17:26 - mmengine - INFO - Epoch(train) [86][1120/1879] lr: 1.0000e-02 eta: 1 day, 1:18:22 time: 0.2848 data_time: 0.0225 memory: 8198 grad_norm: 5.4459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6483 loss: 1.6483 2022/08/03 03:17:32 - mmengine - INFO - Epoch(train) [86][1140/1879] lr: 1.0000e-02 eta: 1 day, 1:18:16 time: 0.2839 data_time: 0.0221 memory: 8198 grad_norm: 5.4900 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8727 loss: 1.8727 2022/08/03 03:17:38 - mmengine - INFO - Epoch(train) [86][1160/1879] lr: 1.0000e-02 eta: 1 day, 1:18:10 time: 0.2843 data_time: 0.0222 memory: 8198 grad_norm: 5.3854 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8484 loss: 1.8484 2022/08/03 03:17:43 - mmengine - INFO - Epoch(train) [86][1180/1879] lr: 1.0000e-02 eta: 1 day, 1:18:05 time: 0.2871 data_time: 0.0249 memory: 8198 grad_norm: 5.4504 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7445 loss: 1.7445 2022/08/03 03:17:49 - mmengine - INFO - Epoch(train) [86][1200/1879] lr: 1.0000e-02 eta: 1 day, 1:18:00 time: 0.2952 data_time: 0.0207 memory: 8198 grad_norm: 5.5489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5275 loss: 1.5275 2022/08/03 03:17:55 - mmengine - INFO - Epoch(train) [86][1220/1879] lr: 1.0000e-02 eta: 1 day, 1:17:54 time: 0.2899 data_time: 0.0188 memory: 8198 grad_norm: 5.6261 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7955 loss: 1.7955 2022/08/03 03:18:01 - mmengine - INFO - Epoch(train) [86][1240/1879] lr: 1.0000e-02 eta: 1 day, 1:17:48 time: 0.2829 data_time: 0.0219 memory: 8198 grad_norm: 5.3342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5885 loss: 1.5885 2022/08/03 03:18:07 - mmengine - INFO - Epoch(train) [86][1260/1879] lr: 1.0000e-02 eta: 1 day, 1:17:43 time: 0.2834 data_time: 0.0219 memory: 8198 grad_norm: 5.4228 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5181 loss: 1.5181 2022/08/03 03:18:12 - mmengine - INFO - Epoch(train) [86][1280/1879] lr: 1.0000e-02 eta: 1 day, 1:17:37 time: 0.2847 data_time: 0.0184 memory: 8198 grad_norm: 5.4239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7006 loss: 1.7006 2022/08/03 03:18:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:18:18 - mmengine - INFO - Epoch(train) [86][1300/1879] lr: 1.0000e-02 eta: 1 day, 1:17:32 time: 0.2917 data_time: 0.0338 memory: 8198 grad_norm: 5.3271 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6826 loss: 1.6826 2022/08/03 03:18:24 - mmengine - INFO - Epoch(train) [86][1320/1879] lr: 1.0000e-02 eta: 1 day, 1:17:26 time: 0.2833 data_time: 0.0219 memory: 8198 grad_norm: 5.3568 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5301 loss: 1.5301 2022/08/03 03:18:30 - mmengine - INFO - Epoch(train) [86][1340/1879] lr: 1.0000e-02 eta: 1 day, 1:17:21 time: 0.3022 data_time: 0.0237 memory: 8198 grad_norm: 5.4702 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9125 loss: 1.9125 2022/08/03 03:18:36 - mmengine - INFO - Epoch(train) [86][1360/1879] lr: 1.0000e-02 eta: 1 day, 1:17:15 time: 0.2832 data_time: 0.0218 memory: 8198 grad_norm: 5.2912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7232 loss: 1.7232 2022/08/03 03:18:41 - mmengine - INFO - Epoch(train) [86][1380/1879] lr: 1.0000e-02 eta: 1 day, 1:17:09 time: 0.2817 data_time: 0.0212 memory: 8198 grad_norm: 5.4341 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7852 loss: 1.7852 2022/08/03 03:18:47 - mmengine - INFO - Epoch(train) [86][1400/1879] lr: 1.0000e-02 eta: 1 day, 1:17:04 time: 0.2837 data_time: 0.0204 memory: 8198 grad_norm: 5.2812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7423 loss: 1.7423 2022/08/03 03:18:53 - mmengine - INFO - Epoch(train) [86][1420/1879] lr: 1.0000e-02 eta: 1 day, 1:16:58 time: 0.2891 data_time: 0.0221 memory: 8198 grad_norm: 5.2461 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6490 loss: 1.6490 2022/08/03 03:18:58 - mmengine - INFO - Epoch(train) [86][1440/1879] lr: 1.0000e-02 eta: 1 day, 1:16:52 time: 0.2882 data_time: 0.0187 memory: 8198 grad_norm: 5.5256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6249 loss: 1.6249 2022/08/03 03:19:04 - mmengine - INFO - Epoch(train) [86][1460/1879] lr: 1.0000e-02 eta: 1 day, 1:16:47 time: 0.2868 data_time: 0.0226 memory: 8198 grad_norm: 5.4028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5731 loss: 1.5731 2022/08/03 03:19:10 - mmengine - INFO - Epoch(train) [86][1480/1879] lr: 1.0000e-02 eta: 1 day, 1:16:41 time: 0.2909 data_time: 0.0235 memory: 8198 grad_norm: 5.2703 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6126 loss: 1.6126 2022/08/03 03:19:16 - mmengine - INFO - Epoch(train) [86][1500/1879] lr: 1.0000e-02 eta: 1 day, 1:16:36 time: 0.2840 data_time: 0.0196 memory: 8198 grad_norm: 5.2957 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8155 loss: 1.8155 2022/08/03 03:19:21 - mmengine - INFO - Epoch(train) [86][1520/1879] lr: 1.0000e-02 eta: 1 day, 1:16:30 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 5.5244 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8082 loss: 1.8082 2022/08/03 03:19:27 - mmengine - INFO - Epoch(train) [86][1540/1879] lr: 1.0000e-02 eta: 1 day, 1:16:24 time: 0.2887 data_time: 0.0212 memory: 8198 grad_norm: 5.3518 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5320 loss: 1.5320 2022/08/03 03:19:33 - mmengine - INFO - Epoch(train) [86][1560/1879] lr: 1.0000e-02 eta: 1 day, 1:16:19 time: 0.2882 data_time: 0.0267 memory: 8198 grad_norm: 5.3443 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/08/03 03:19:39 - mmengine - INFO - Epoch(train) [86][1580/1879] lr: 1.0000e-02 eta: 1 day, 1:16:13 time: 0.2842 data_time: 0.0231 memory: 8198 grad_norm: 5.5484 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6115 loss: 1.6115 2022/08/03 03:19:44 - mmengine - INFO - Epoch(train) [86][1600/1879] lr: 1.0000e-02 eta: 1 day, 1:16:07 time: 0.2821 data_time: 0.0224 memory: 8198 grad_norm: 5.4668 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8478 loss: 1.8478 2022/08/03 03:19:50 - mmengine - INFO - Epoch(train) [86][1620/1879] lr: 1.0000e-02 eta: 1 day, 1:16:02 time: 0.2861 data_time: 0.0228 memory: 8198 grad_norm: 5.4149 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5935 loss: 1.5935 2022/08/03 03:19:56 - mmengine - INFO - Epoch(train) [86][1640/1879] lr: 1.0000e-02 eta: 1 day, 1:15:56 time: 0.2803 data_time: 0.0192 memory: 8198 grad_norm: 5.2283 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5741 loss: 1.5741 2022/08/03 03:20:02 - mmengine - INFO - Epoch(train) [86][1660/1879] lr: 1.0000e-02 eta: 1 day, 1:15:51 time: 0.2926 data_time: 0.0195 memory: 8198 grad_norm: 5.5348 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8243 loss: 1.8243 2022/08/03 03:20:07 - mmengine - INFO - Epoch(train) [86][1680/1879] lr: 1.0000e-02 eta: 1 day, 1:15:45 time: 0.2827 data_time: 0.0234 memory: 8198 grad_norm: 5.2340 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7048 loss: 1.7048 2022/08/03 03:20:13 - mmengine - INFO - Epoch(train) [86][1700/1879] lr: 1.0000e-02 eta: 1 day, 1:15:39 time: 0.2835 data_time: 0.0250 memory: 8198 grad_norm: 5.4349 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8571 loss: 1.8571 2022/08/03 03:20:19 - mmengine - INFO - Epoch(train) [86][1720/1879] lr: 1.0000e-02 eta: 1 day, 1:15:34 time: 0.2923 data_time: 0.0234 memory: 8198 grad_norm: 5.2978 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5562 loss: 1.5562 2022/08/03 03:20:24 - mmengine - INFO - Epoch(train) [86][1740/1879] lr: 1.0000e-02 eta: 1 day, 1:15:28 time: 0.2843 data_time: 0.0227 memory: 8198 grad_norm: 5.3590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4819 loss: 1.4819 2022/08/03 03:20:30 - mmengine - INFO - Epoch(train) [86][1760/1879] lr: 1.0000e-02 eta: 1 day, 1:15:22 time: 0.2870 data_time: 0.0232 memory: 8198 grad_norm: 5.4088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7412 loss: 1.7412 2022/08/03 03:20:36 - mmengine - INFO - Epoch(train) [86][1780/1879] lr: 1.0000e-02 eta: 1 day, 1:15:17 time: 0.2859 data_time: 0.0235 memory: 8198 grad_norm: 5.4045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6596 loss: 1.6596 2022/08/03 03:20:42 - mmengine - INFO - Epoch(train) [86][1800/1879] lr: 1.0000e-02 eta: 1 day, 1:15:11 time: 0.2823 data_time: 0.0260 memory: 8198 grad_norm: 5.3705 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7380 loss: 1.7380 2022/08/03 03:20:47 - mmengine - INFO - Epoch(train) [86][1820/1879] lr: 1.0000e-02 eta: 1 day, 1:15:05 time: 0.2822 data_time: 0.0239 memory: 8198 grad_norm: 5.3364 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7926 loss: 1.7926 2022/08/03 03:20:53 - mmengine - INFO - Epoch(train) [86][1840/1879] lr: 1.0000e-02 eta: 1 day, 1:14:59 time: 0.2829 data_time: 0.0219 memory: 8198 grad_norm: 5.2741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6833 loss: 1.6833 2022/08/03 03:20:59 - mmengine - INFO - Epoch(train) [86][1860/1879] lr: 1.0000e-02 eta: 1 day, 1:14:54 time: 0.2873 data_time: 0.0284 memory: 8198 grad_norm: 5.4288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6416 loss: 1.6416 2022/08/03 03:21:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:21:03 - mmengine - INFO - Epoch(train) [86][1879/1879] lr: 1.0000e-02 eta: 1 day, 1:14:54 time: 0.2530 data_time: 0.0139 memory: 8198 grad_norm: 5.5061 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.5427 loss: 1.5427 2022/08/03 03:21:12 - mmengine - INFO - Epoch(train) [87][20/1879] lr: 1.0000e-02 eta: 1 day, 1:14:37 time: 0.4134 data_time: 0.1136 memory: 8198 grad_norm: 5.4790 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6660 loss: 1.6660 2022/08/03 03:21:18 - mmengine - INFO - Epoch(train) [87][40/1879] lr: 1.0000e-02 eta: 1 day, 1:14:32 time: 0.2892 data_time: 0.0200 memory: 8198 grad_norm: 5.4342 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9046 loss: 1.9046 2022/08/03 03:21:23 - mmengine - INFO - Epoch(train) [87][60/1879] lr: 1.0000e-02 eta: 1 day, 1:14:26 time: 0.2891 data_time: 0.0228 memory: 8198 grad_norm: 5.2460 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4853 loss: 1.4853 2022/08/03 03:21:29 - mmengine - INFO - Epoch(train) [87][80/1879] lr: 1.0000e-02 eta: 1 day, 1:14:20 time: 0.2830 data_time: 0.0218 memory: 8198 grad_norm: 5.2362 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6436 loss: 1.6436 2022/08/03 03:21:35 - mmengine - INFO - Epoch(train) [87][100/1879] lr: 1.0000e-02 eta: 1 day, 1:14:15 time: 0.2841 data_time: 0.0219 memory: 8198 grad_norm: 5.3787 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7430 loss: 1.7430 2022/08/03 03:21:41 - mmengine - INFO - Epoch(train) [87][120/1879] lr: 1.0000e-02 eta: 1 day, 1:14:09 time: 0.2856 data_time: 0.0251 memory: 8198 grad_norm: 5.4628 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4232 loss: 1.4232 2022/08/03 03:21:46 - mmengine - INFO - Epoch(train) [87][140/1879] lr: 1.0000e-02 eta: 1 day, 1:14:03 time: 0.2869 data_time: 0.0227 memory: 8198 grad_norm: 5.3712 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6701 loss: 1.6701 2022/08/03 03:21:52 - mmengine - INFO - Epoch(train) [87][160/1879] lr: 1.0000e-02 eta: 1 day, 1:13:58 time: 0.2852 data_time: 0.0294 memory: 8198 grad_norm: 5.3506 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6901 loss: 1.6901 2022/08/03 03:21:58 - mmengine - INFO - Epoch(train) [87][180/1879] lr: 1.0000e-02 eta: 1 day, 1:13:52 time: 0.2899 data_time: 0.0217 memory: 8198 grad_norm: 5.2745 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4606 loss: 1.4606 2022/08/03 03:22:03 - mmengine - INFO - Epoch(train) [87][200/1879] lr: 1.0000e-02 eta: 1 day, 1:13:46 time: 0.2804 data_time: 0.0189 memory: 8198 grad_norm: 5.5192 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6055 loss: 1.6055 2022/08/03 03:22:09 - mmengine - INFO - Epoch(train) [87][220/1879] lr: 1.0000e-02 eta: 1 day, 1:13:41 time: 0.2855 data_time: 0.0259 memory: 8198 grad_norm: 5.5256 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6905 loss: 1.6905 2022/08/03 03:22:15 - mmengine - INFO - Epoch(train) [87][240/1879] lr: 1.0000e-02 eta: 1 day, 1:13:35 time: 0.2828 data_time: 0.0220 memory: 8198 grad_norm: 5.3246 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8597 loss: 1.8597 2022/08/03 03:22:21 - mmengine - INFO - Epoch(train) [87][260/1879] lr: 1.0000e-02 eta: 1 day, 1:13:30 time: 0.2925 data_time: 0.0284 memory: 8198 grad_norm: 5.4115 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6655 loss: 1.6655 2022/08/03 03:22:26 - mmengine - INFO - Epoch(train) [87][280/1879] lr: 1.0000e-02 eta: 1 day, 1:13:24 time: 0.2801 data_time: 0.0198 memory: 8198 grad_norm: 5.3034 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5793 loss: 1.5793 2022/08/03 03:22:32 - mmengine - INFO - Epoch(train) [87][300/1879] lr: 1.0000e-02 eta: 1 day, 1:13:18 time: 0.2807 data_time: 0.0226 memory: 8198 grad_norm: 5.4502 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6746 loss: 1.6746 2022/08/03 03:22:38 - mmengine - INFO - Epoch(train) [87][320/1879] lr: 1.0000e-02 eta: 1 day, 1:13:13 time: 0.2941 data_time: 0.0268 memory: 8198 grad_norm: 5.3175 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6049 loss: 1.6049 2022/08/03 03:22:44 - mmengine - INFO - Epoch(train) [87][340/1879] lr: 1.0000e-02 eta: 1 day, 1:13:07 time: 0.2833 data_time: 0.0278 memory: 8198 grad_norm: 5.3944 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5820 loss: 1.5820 2022/08/03 03:22:49 - mmengine - INFO - Epoch(train) [87][360/1879] lr: 1.0000e-02 eta: 1 day, 1:13:01 time: 0.2843 data_time: 0.0234 memory: 8198 grad_norm: 5.4147 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7242 loss: 1.7242 2022/08/03 03:22:55 - mmengine - INFO - Epoch(train) [87][380/1879] lr: 1.0000e-02 eta: 1 day, 1:12:56 time: 0.2850 data_time: 0.0251 memory: 8198 grad_norm: 5.4836 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5889 loss: 1.5889 2022/08/03 03:23:01 - mmengine - INFO - Epoch(train) [87][400/1879] lr: 1.0000e-02 eta: 1 day, 1:12:50 time: 0.2876 data_time: 0.0240 memory: 8198 grad_norm: 5.5086 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7160 loss: 1.7160 2022/08/03 03:23:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:23:06 - mmengine - INFO - Epoch(train) [87][420/1879] lr: 1.0000e-02 eta: 1 day, 1:12:44 time: 0.2821 data_time: 0.0240 memory: 8198 grad_norm: 5.3374 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5996 loss: 1.5996 2022/08/03 03:23:12 - mmengine - INFO - Epoch(train) [87][440/1879] lr: 1.0000e-02 eta: 1 day, 1:12:38 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 5.3318 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8196 loss: 1.8196 2022/08/03 03:23:18 - mmengine - INFO - Epoch(train) [87][460/1879] lr: 1.0000e-02 eta: 1 day, 1:12:33 time: 0.2873 data_time: 0.0239 memory: 8198 grad_norm: 5.5080 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6698 loss: 1.6698 2022/08/03 03:23:24 - mmengine - INFO - Epoch(train) [87][480/1879] lr: 1.0000e-02 eta: 1 day, 1:12:27 time: 0.2845 data_time: 0.0187 memory: 8198 grad_norm: 5.4643 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6753 loss: 1.6753 2022/08/03 03:23:29 - mmengine - INFO - Epoch(train) [87][500/1879] lr: 1.0000e-02 eta: 1 day, 1:12:22 time: 0.2874 data_time: 0.0225 memory: 8198 grad_norm: 5.5240 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7486 loss: 1.7486 2022/08/03 03:23:35 - mmengine - INFO - Epoch(train) [87][520/1879] lr: 1.0000e-02 eta: 1 day, 1:12:16 time: 0.2815 data_time: 0.0257 memory: 8198 grad_norm: 5.4967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7436 loss: 1.7436 2022/08/03 03:23:41 - mmengine - INFO - Epoch(train) [87][540/1879] lr: 1.0000e-02 eta: 1 day, 1:12:10 time: 0.2862 data_time: 0.0227 memory: 8198 grad_norm: 5.4984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7632 loss: 1.7632 2022/08/03 03:23:46 - mmengine - INFO - Epoch(train) [87][560/1879] lr: 1.0000e-02 eta: 1 day, 1:12:04 time: 0.2828 data_time: 0.0222 memory: 8198 grad_norm: 5.5130 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6387 loss: 1.6387 2022/08/03 03:23:52 - mmengine - INFO - Epoch(train) [87][580/1879] lr: 1.0000e-02 eta: 1 day, 1:11:59 time: 0.2837 data_time: 0.0225 memory: 8198 grad_norm: 5.2964 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6710 loss: 1.6710 2022/08/03 03:23:58 - mmengine - INFO - Epoch(train) [87][600/1879] lr: 1.0000e-02 eta: 1 day, 1:11:53 time: 0.2806 data_time: 0.0213 memory: 8198 grad_norm: 5.2928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4532 loss: 1.4532 2022/08/03 03:24:03 - mmengine - INFO - Epoch(train) [87][620/1879] lr: 1.0000e-02 eta: 1 day, 1:11:47 time: 0.2868 data_time: 0.0208 memory: 8198 grad_norm: 5.4629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5947 loss: 1.5947 2022/08/03 03:24:09 - mmengine - INFO - Epoch(train) [87][640/1879] lr: 1.0000e-02 eta: 1 day, 1:11:42 time: 0.2841 data_time: 0.0251 memory: 8198 grad_norm: 5.4423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7090 loss: 1.7090 2022/08/03 03:24:15 - mmengine - INFO - Epoch(train) [87][660/1879] lr: 1.0000e-02 eta: 1 day, 1:11:36 time: 0.2862 data_time: 0.0314 memory: 8198 grad_norm: 5.4504 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9154 loss: 1.9154 2022/08/03 03:24:21 - mmengine - INFO - Epoch(train) [87][680/1879] lr: 1.0000e-02 eta: 1 day, 1:11:30 time: 0.2833 data_time: 0.0180 memory: 8198 grad_norm: 5.4832 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.3777 loss: 1.3777 2022/08/03 03:24:26 - mmengine - INFO - Epoch(train) [87][700/1879] lr: 1.0000e-02 eta: 1 day, 1:11:24 time: 0.2830 data_time: 0.0235 memory: 8198 grad_norm: 5.4251 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5016 loss: 1.5016 2022/08/03 03:24:32 - mmengine - INFO - Epoch(train) [87][720/1879] lr: 1.0000e-02 eta: 1 day, 1:11:19 time: 0.2925 data_time: 0.0175 memory: 8198 grad_norm: 5.5626 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8917 loss: 1.8917 2022/08/03 03:24:38 - mmengine - INFO - Epoch(train) [87][740/1879] lr: 1.0000e-02 eta: 1 day, 1:11:13 time: 0.2828 data_time: 0.0247 memory: 8198 grad_norm: 5.3563 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6602 loss: 1.6602 2022/08/03 03:24:43 - mmengine - INFO - Epoch(train) [87][760/1879] lr: 1.0000e-02 eta: 1 day, 1:11:07 time: 0.2821 data_time: 0.0221 memory: 8198 grad_norm: 5.4587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5625 loss: 1.5625 2022/08/03 03:24:49 - mmengine - INFO - Epoch(train) [87][780/1879] lr: 1.0000e-02 eta: 1 day, 1:11:02 time: 0.2882 data_time: 0.0236 memory: 8198 grad_norm: 5.4685 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6457 loss: 1.6457 2022/08/03 03:24:55 - mmengine - INFO - Epoch(train) [87][800/1879] lr: 1.0000e-02 eta: 1 day, 1:10:56 time: 0.2841 data_time: 0.0254 memory: 8198 grad_norm: 5.5377 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8071 loss: 1.8071 2022/08/03 03:25:00 - mmengine - INFO - Epoch(train) [87][820/1879] lr: 1.0000e-02 eta: 1 day, 1:10:50 time: 0.2814 data_time: 0.0218 memory: 8198 grad_norm: 5.3310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5468 loss: 1.5468 2022/08/03 03:25:06 - mmengine - INFO - Epoch(train) [87][840/1879] lr: 1.0000e-02 eta: 1 day, 1:10:45 time: 0.2817 data_time: 0.0236 memory: 8198 grad_norm: 5.4138 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6386 loss: 1.6386 2022/08/03 03:25:12 - mmengine - INFO - Epoch(train) [87][860/1879] lr: 1.0000e-02 eta: 1 day, 1:10:39 time: 0.2892 data_time: 0.0256 memory: 8198 grad_norm: 5.3477 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8417 loss: 1.8417 2022/08/03 03:25:18 - mmengine - INFO - Epoch(train) [87][880/1879] lr: 1.0000e-02 eta: 1 day, 1:10:33 time: 0.2816 data_time: 0.0228 memory: 8198 grad_norm: 5.4024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7110 loss: 1.7110 2022/08/03 03:25:23 - mmengine - INFO - Epoch(train) [87][900/1879] lr: 1.0000e-02 eta: 1 day, 1:10:28 time: 0.2818 data_time: 0.0226 memory: 8198 grad_norm: 5.3558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8179 loss: 1.8179 2022/08/03 03:25:29 - mmengine - INFO - Epoch(train) [87][920/1879] lr: 1.0000e-02 eta: 1 day, 1:10:22 time: 0.2872 data_time: 0.0249 memory: 8198 grad_norm: 5.4366 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6358 loss: 1.6358 2022/08/03 03:25:35 - mmengine - INFO - Epoch(train) [87][940/1879] lr: 1.0000e-02 eta: 1 day, 1:10:16 time: 0.2797 data_time: 0.0213 memory: 8198 grad_norm: 5.4181 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6839 loss: 1.6839 2022/08/03 03:25:40 - mmengine - INFO - Epoch(train) [87][960/1879] lr: 1.0000e-02 eta: 1 day, 1:10:10 time: 0.2837 data_time: 0.0212 memory: 8198 grad_norm: 5.2730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/08/03 03:25:46 - mmengine - INFO - Epoch(train) [87][980/1879] lr: 1.0000e-02 eta: 1 day, 1:10:05 time: 0.2846 data_time: 0.0261 memory: 8198 grad_norm: 5.3381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6344 loss: 1.6344 2022/08/03 03:25:52 - mmengine - INFO - Epoch(train) [87][1000/1879] lr: 1.0000e-02 eta: 1 day, 1:09:59 time: 0.2945 data_time: 0.0216 memory: 8198 grad_norm: 5.4073 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5037 loss: 1.5037 2022/08/03 03:25:58 - mmengine - INFO - Epoch(train) [87][1020/1879] lr: 1.0000e-02 eta: 1 day, 1:09:54 time: 0.2833 data_time: 0.0231 memory: 8198 grad_norm: 5.4429 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6294 loss: 1.6294 2022/08/03 03:26:03 - mmengine - INFO - Epoch(train) [87][1040/1879] lr: 1.0000e-02 eta: 1 day, 1:09:48 time: 0.2807 data_time: 0.0195 memory: 8198 grad_norm: 5.6250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7699 loss: 1.7699 2022/08/03 03:26:09 - mmengine - INFO - Epoch(train) [87][1060/1879] lr: 1.0000e-02 eta: 1 day, 1:09:43 time: 0.3031 data_time: 0.0241 memory: 8198 grad_norm: 5.4166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6546 loss: 1.6546 2022/08/03 03:26:15 - mmengine - INFO - Epoch(train) [87][1080/1879] lr: 1.0000e-02 eta: 1 day, 1:09:37 time: 0.2798 data_time: 0.0245 memory: 8198 grad_norm: 5.5683 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6751 loss: 1.6751 2022/08/03 03:26:21 - mmengine - INFO - Epoch(train) [87][1100/1879] lr: 1.0000e-02 eta: 1 day, 1:09:31 time: 0.2827 data_time: 0.0247 memory: 8198 grad_norm: 5.2814 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5490 loss: 1.5490 2022/08/03 03:26:26 - mmengine - INFO - Epoch(train) [87][1120/1879] lr: 1.0000e-02 eta: 1 day, 1:09:25 time: 0.2809 data_time: 0.0175 memory: 8198 grad_norm: 5.5430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4460 loss: 1.4460 2022/08/03 03:26:32 - mmengine - INFO - Epoch(train) [87][1140/1879] lr: 1.0000e-02 eta: 1 day, 1:09:20 time: 0.2896 data_time: 0.0248 memory: 8198 grad_norm: 5.3571 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6647 loss: 1.6647 2022/08/03 03:26:38 - mmengine - INFO - Epoch(train) [87][1160/1879] lr: 1.0000e-02 eta: 1 day, 1:09:14 time: 0.2824 data_time: 0.0211 memory: 8198 grad_norm: 5.3479 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5935 loss: 1.5935 2022/08/03 03:26:44 - mmengine - INFO - Epoch(train) [87][1180/1879] lr: 1.0000e-02 eta: 1 day, 1:09:09 time: 0.2967 data_time: 0.0222 memory: 8198 grad_norm: 5.4467 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5609 loss: 1.5609 2022/08/03 03:26:49 - mmengine - INFO - Epoch(train) [87][1200/1879] lr: 1.0000e-02 eta: 1 day, 1:09:03 time: 0.2798 data_time: 0.0197 memory: 8198 grad_norm: 5.6008 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8466 loss: 1.8466 2022/08/03 03:26:55 - mmengine - INFO - Epoch(train) [87][1220/1879] lr: 1.0000e-02 eta: 1 day, 1:08:57 time: 0.2840 data_time: 0.0234 memory: 8198 grad_norm: 5.4247 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6013 loss: 1.6013 2022/08/03 03:27:01 - mmengine - INFO - Epoch(train) [87][1240/1879] lr: 1.0000e-02 eta: 1 day, 1:08:52 time: 0.2860 data_time: 0.0217 memory: 8198 grad_norm: 5.2838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5387 loss: 1.5387 2022/08/03 03:27:06 - mmengine - INFO - Epoch(train) [87][1260/1879] lr: 1.0000e-02 eta: 1 day, 1:08:46 time: 0.2841 data_time: 0.0209 memory: 8198 grad_norm: 5.4421 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6456 loss: 1.6456 2022/08/03 03:27:12 - mmengine - INFO - Epoch(train) [87][1280/1879] lr: 1.0000e-02 eta: 1 day, 1:08:40 time: 0.2840 data_time: 0.0263 memory: 8198 grad_norm: 5.3709 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5512 loss: 1.5512 2022/08/03 03:27:18 - mmengine - INFO - Epoch(train) [87][1300/1879] lr: 1.0000e-02 eta: 1 day, 1:08:35 time: 0.3079 data_time: 0.0390 memory: 8198 grad_norm: 5.3033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5894 loss: 1.5894 2022/08/03 03:27:24 - mmengine - INFO - Epoch(train) [87][1320/1879] lr: 1.0000e-02 eta: 1 day, 1:08:30 time: 0.2816 data_time: 0.0204 memory: 8198 grad_norm: 5.3727 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7181 loss: 1.7181 2022/08/03 03:27:30 - mmengine - INFO - Epoch(train) [87][1340/1879] lr: 1.0000e-02 eta: 1 day, 1:08:24 time: 0.2816 data_time: 0.0224 memory: 8198 grad_norm: 5.3580 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6190 loss: 1.6190 2022/08/03 03:27:35 - mmengine - INFO - Epoch(train) [87][1360/1879] lr: 1.0000e-02 eta: 1 day, 1:08:18 time: 0.2811 data_time: 0.0218 memory: 8198 grad_norm: 5.4429 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4885 loss: 1.4885 2022/08/03 03:27:41 - mmengine - INFO - Epoch(train) [87][1380/1879] lr: 1.0000e-02 eta: 1 day, 1:08:12 time: 0.2869 data_time: 0.0239 memory: 8198 grad_norm: 5.5029 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6433 loss: 1.6433 2022/08/03 03:27:47 - mmengine - INFO - Epoch(train) [87][1400/1879] lr: 1.0000e-02 eta: 1 day, 1:08:07 time: 0.2828 data_time: 0.0186 memory: 8198 grad_norm: 5.4099 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6547 loss: 1.6547 2022/08/03 03:27:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:27:52 - mmengine - INFO - Epoch(train) [87][1420/1879] lr: 1.0000e-02 eta: 1 day, 1:08:01 time: 0.2914 data_time: 0.0253 memory: 8198 grad_norm: 5.4008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6546 loss: 1.6546 2022/08/03 03:27:58 - mmengine - INFO - Epoch(train) [87][1440/1879] lr: 1.0000e-02 eta: 1 day, 1:07:55 time: 0.2824 data_time: 0.0209 memory: 8198 grad_norm: 5.4181 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6212 loss: 1.6212 2022/08/03 03:28:04 - mmengine - INFO - Epoch(train) [87][1460/1879] lr: 1.0000e-02 eta: 1 day, 1:07:50 time: 0.2863 data_time: 0.0239 memory: 8198 grad_norm: 5.3119 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6093 loss: 1.6093 2022/08/03 03:28:09 - mmengine - INFO - Epoch(train) [87][1480/1879] lr: 1.0000e-02 eta: 1 day, 1:07:44 time: 0.2824 data_time: 0.0229 memory: 8198 grad_norm: 5.4197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5872 loss: 1.5872 2022/08/03 03:28:15 - mmengine - INFO - Epoch(train) [87][1500/1879] lr: 1.0000e-02 eta: 1 day, 1:07:38 time: 0.2855 data_time: 0.0265 memory: 8198 grad_norm: 5.2783 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6131 loss: 1.6131 2022/08/03 03:28:21 - mmengine - INFO - Epoch(train) [87][1520/1879] lr: 1.0000e-02 eta: 1 day, 1:07:33 time: 0.2828 data_time: 0.0183 memory: 8198 grad_norm: 5.4664 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6725 loss: 1.6725 2022/08/03 03:28:27 - mmengine - INFO - Epoch(train) [87][1540/1879] lr: 1.0000e-02 eta: 1 day, 1:07:27 time: 0.2820 data_time: 0.0213 memory: 8198 grad_norm: 5.3867 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6215 loss: 1.6215 2022/08/03 03:28:32 - mmengine - INFO - Epoch(train) [87][1560/1879] lr: 1.0000e-02 eta: 1 day, 1:07:21 time: 0.2852 data_time: 0.0267 memory: 8198 grad_norm: 5.4459 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8522 loss: 1.8522 2022/08/03 03:28:39 - mmengine - INFO - Epoch(train) [87][1580/1879] lr: 1.0000e-02 eta: 1 day, 1:07:17 time: 0.3288 data_time: 0.0221 memory: 8198 grad_norm: 5.3550 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5966 loss: 1.5966 2022/08/03 03:28:45 - mmengine - INFO - Epoch(train) [87][1600/1879] lr: 1.0000e-02 eta: 1 day, 1:07:13 time: 0.3181 data_time: 0.0173 memory: 8198 grad_norm: 5.3130 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5230 loss: 1.5230 2022/08/03 03:28:51 - mmengine - INFO - Epoch(train) [87][1620/1879] lr: 1.0000e-02 eta: 1 day, 1:07:07 time: 0.2855 data_time: 0.0243 memory: 8198 grad_norm: 5.2873 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6608 loss: 1.6608 2022/08/03 03:28:57 - mmengine - INFO - Epoch(train) [87][1640/1879] lr: 1.0000e-02 eta: 1 day, 1:07:02 time: 0.2859 data_time: 0.0245 memory: 8198 grad_norm: 5.4125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6548 loss: 1.6548 2022/08/03 03:29:02 - mmengine - INFO - Epoch(train) [87][1660/1879] lr: 1.0000e-02 eta: 1 day, 1:06:56 time: 0.2830 data_time: 0.0256 memory: 8198 grad_norm: 5.6059 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5972 loss: 1.5972 2022/08/03 03:29:09 - mmengine - INFO - Epoch(train) [87][1680/1879] lr: 1.0000e-02 eta: 1 day, 1:06:52 time: 0.3309 data_time: 0.0226 memory: 8198 grad_norm: 5.2869 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7609 loss: 1.7609 2022/08/03 03:29:15 - mmengine - INFO - Epoch(train) [87][1700/1879] lr: 1.0000e-02 eta: 1 day, 1:06:47 time: 0.2956 data_time: 0.0257 memory: 8198 grad_norm: 5.2325 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7356 loss: 1.7356 2022/08/03 03:29:21 - mmengine - INFO - Epoch(train) [87][1720/1879] lr: 1.0000e-02 eta: 1 day, 1:06:41 time: 0.2831 data_time: 0.0248 memory: 8198 grad_norm: 5.3961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/08/03 03:29:26 - mmengine - INFO - Epoch(train) [87][1740/1879] lr: 1.0000e-02 eta: 1 day, 1:06:35 time: 0.2825 data_time: 0.0232 memory: 8198 grad_norm: 5.1698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5386 loss: 1.5386 2022/08/03 03:29:32 - mmengine - INFO - Epoch(train) [87][1760/1879] lr: 1.0000e-02 eta: 1 day, 1:06:30 time: 0.2888 data_time: 0.0200 memory: 8198 grad_norm: 5.3722 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6431 loss: 1.6431 2022/08/03 03:29:38 - mmengine - INFO - Epoch(train) [87][1780/1879] lr: 1.0000e-02 eta: 1 day, 1:06:24 time: 0.2802 data_time: 0.0199 memory: 8198 grad_norm: 5.4239 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6329 loss: 1.6329 2022/08/03 03:29:43 - mmengine - INFO - Epoch(train) [87][1800/1879] lr: 1.0000e-02 eta: 1 day, 1:06:18 time: 0.2869 data_time: 0.0235 memory: 8198 grad_norm: 5.1965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6902 loss: 1.6902 2022/08/03 03:29:52 - mmengine - INFO - Epoch(train) [87][1820/1879] lr: 1.0000e-02 eta: 1 day, 1:06:18 time: 0.4396 data_time: 0.0327 memory: 8198 grad_norm: 5.3410 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5668 loss: 1.5668 2022/08/03 03:29:58 - mmengine - INFO - Epoch(train) [87][1840/1879] lr: 1.0000e-02 eta: 1 day, 1:06:12 time: 0.2763 data_time: 0.0205 memory: 8198 grad_norm: 5.2820 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6506 loss: 1.6506 2022/08/03 03:30:03 - mmengine - INFO - Epoch(train) [87][1860/1879] lr: 1.0000e-02 eta: 1 day, 1:06:07 time: 0.2818 data_time: 0.0242 memory: 8198 grad_norm: 5.4226 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7115 loss: 1.7115 2022/08/03 03:30:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:30:08 - mmengine - INFO - Epoch(train) [87][1879/1879] lr: 1.0000e-02 eta: 1 day, 1:06:07 time: 0.2673 data_time: 0.0164 memory: 8198 grad_norm: 5.7173 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.8214 loss: 1.8214 2022/08/03 03:30:17 - mmengine - INFO - Epoch(train) [88][20/1879] lr: 1.0000e-02 eta: 1 day, 1:05:50 time: 0.4151 data_time: 0.1101 memory: 8198 grad_norm: 5.3381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5459 loss: 1.5459 2022/08/03 03:30:23 - mmengine - INFO - Epoch(train) [88][40/1879] lr: 1.0000e-02 eta: 1 day, 1:05:45 time: 0.2884 data_time: 0.0194 memory: 8198 grad_norm: 5.2634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5591 loss: 1.5591 2022/08/03 03:30:29 - mmengine - INFO - Epoch(train) [88][60/1879] lr: 1.0000e-02 eta: 1 day, 1:05:40 time: 0.3246 data_time: 0.0268 memory: 8198 grad_norm: 5.5521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5130 loss: 1.5130 2022/08/03 03:30:35 - mmengine - INFO - Epoch(train) [88][80/1879] lr: 1.0000e-02 eta: 1 day, 1:05:34 time: 0.2762 data_time: 0.0192 memory: 8198 grad_norm: 5.1808 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5181 loss: 1.5181 2022/08/03 03:30:41 - mmengine - INFO - Epoch(train) [88][100/1879] lr: 1.0000e-02 eta: 1 day, 1:05:29 time: 0.2836 data_time: 0.0249 memory: 8198 grad_norm: 5.2148 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.7112 loss: 1.7112 2022/08/03 03:30:46 - mmengine - INFO - Epoch(train) [88][120/1879] lr: 1.0000e-02 eta: 1 day, 1:05:23 time: 0.2848 data_time: 0.0260 memory: 8198 grad_norm: 5.2493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6570 loss: 1.6570 2022/08/03 03:30:52 - mmengine - INFO - Epoch(train) [88][140/1879] lr: 1.0000e-02 eta: 1 day, 1:05:18 time: 0.2907 data_time: 0.0261 memory: 8198 grad_norm: 5.3681 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7520 loss: 1.7520 2022/08/03 03:30:58 - mmengine - INFO - Epoch(train) [88][160/1879] lr: 1.0000e-02 eta: 1 day, 1:05:12 time: 0.2859 data_time: 0.0272 memory: 8198 grad_norm: 5.3388 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/08/03 03:31:03 - mmengine - INFO - Epoch(train) [88][180/1879] lr: 1.0000e-02 eta: 1 day, 1:05:06 time: 0.2831 data_time: 0.0276 memory: 8198 grad_norm: 5.3850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5932 loss: 1.5932 2022/08/03 03:31:09 - mmengine - INFO - Epoch(train) [88][200/1879] lr: 1.0000e-02 eta: 1 day, 1:05:01 time: 0.2854 data_time: 0.0221 memory: 8198 grad_norm: 5.2641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4515 loss: 1.4515 2022/08/03 03:31:15 - mmengine - INFO - Epoch(train) [88][220/1879] lr: 1.0000e-02 eta: 1 day, 1:04:55 time: 0.2858 data_time: 0.0240 memory: 8198 grad_norm: 5.3925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5544 loss: 1.5544 2022/08/03 03:31:21 - mmengine - INFO - Epoch(train) [88][240/1879] lr: 1.0000e-02 eta: 1 day, 1:04:49 time: 0.2868 data_time: 0.0247 memory: 8198 grad_norm: 5.2551 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4827 loss: 1.4827 2022/08/03 03:31:26 - mmengine - INFO - Epoch(train) [88][260/1879] lr: 1.0000e-02 eta: 1 day, 1:04:44 time: 0.2817 data_time: 0.0230 memory: 8198 grad_norm: 5.5825 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5706 loss: 1.5706 2022/08/03 03:31:32 - mmengine - INFO - Epoch(train) [88][280/1879] lr: 1.0000e-02 eta: 1 day, 1:04:38 time: 0.2848 data_time: 0.0211 memory: 8198 grad_norm: 5.4384 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8014 loss: 1.8014 2022/08/03 03:31:38 - mmengine - INFO - Epoch(train) [88][300/1879] lr: 1.0000e-02 eta: 1 day, 1:04:32 time: 0.2814 data_time: 0.0246 memory: 8198 grad_norm: 5.2596 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6152 loss: 1.6152 2022/08/03 03:31:43 - mmengine - INFO - Epoch(train) [88][320/1879] lr: 1.0000e-02 eta: 1 day, 1:04:27 time: 0.2901 data_time: 0.0228 memory: 8198 grad_norm: 5.4400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7596 loss: 1.7596 2022/08/03 03:31:49 - mmengine - INFO - Epoch(train) [88][340/1879] lr: 1.0000e-02 eta: 1 day, 1:04:21 time: 0.2860 data_time: 0.0253 memory: 8198 grad_norm: 5.1475 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6494 loss: 1.6494 2022/08/03 03:31:55 - mmengine - INFO - Epoch(train) [88][360/1879] lr: 1.0000e-02 eta: 1 day, 1:04:15 time: 0.2815 data_time: 0.0230 memory: 8198 grad_norm: 5.2790 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5636 loss: 1.5636 2022/08/03 03:32:00 - mmengine - INFO - Epoch(train) [88][380/1879] lr: 1.0000e-02 eta: 1 day, 1:04:09 time: 0.2835 data_time: 0.0228 memory: 8198 grad_norm: 5.4503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5452 loss: 1.5452 2022/08/03 03:32:06 - mmengine - INFO - Epoch(train) [88][400/1879] lr: 1.0000e-02 eta: 1 day, 1:04:04 time: 0.2806 data_time: 0.0236 memory: 8198 grad_norm: 5.4486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5393 loss: 1.5393 2022/08/03 03:32:12 - mmengine - INFO - Epoch(train) [88][420/1879] lr: 1.0000e-02 eta: 1 day, 1:03:58 time: 0.2842 data_time: 0.0237 memory: 8198 grad_norm: 5.3701 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6904 loss: 1.6904 2022/08/03 03:32:17 - mmengine - INFO - Epoch(train) [88][440/1879] lr: 1.0000e-02 eta: 1 day, 1:03:52 time: 0.2843 data_time: 0.0221 memory: 8198 grad_norm: 5.3563 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5870 loss: 1.5870 2022/08/03 03:32:23 - mmengine - INFO - Epoch(train) [88][460/1879] lr: 1.0000e-02 eta: 1 day, 1:03:46 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 5.3337 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7899 loss: 1.7899 2022/08/03 03:32:29 - mmengine - INFO - Epoch(train) [88][480/1879] lr: 1.0000e-02 eta: 1 day, 1:03:41 time: 0.2982 data_time: 0.0178 memory: 8198 grad_norm: 5.3824 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6328 loss: 1.6328 2022/08/03 03:32:35 - mmengine - INFO - Epoch(train) [88][500/1879] lr: 1.0000e-02 eta: 1 day, 1:03:36 time: 0.2843 data_time: 0.0202 memory: 8198 grad_norm: 5.4206 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6600 loss: 1.6600 2022/08/03 03:32:41 - mmengine - INFO - Epoch(train) [88][520/1879] lr: 1.0000e-02 eta: 1 day, 1:03:30 time: 0.2855 data_time: 0.0264 memory: 8198 grad_norm: 5.4799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7142 loss: 1.7142 2022/08/03 03:32:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:32:46 - mmengine - INFO - Epoch(train) [88][540/1879] lr: 1.0000e-02 eta: 1 day, 1:03:24 time: 0.2831 data_time: 0.0237 memory: 8198 grad_norm: 5.3954 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5359 loss: 1.5359 2022/08/03 03:32:52 - mmengine - INFO - Epoch(train) [88][560/1879] lr: 1.0000e-02 eta: 1 day, 1:03:19 time: 0.3053 data_time: 0.0199 memory: 8198 grad_norm: 5.3538 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7779 loss: 1.7779 2022/08/03 03:32:58 - mmengine - INFO - Epoch(train) [88][580/1879] lr: 1.0000e-02 eta: 1 day, 1:03:14 time: 0.2853 data_time: 0.0233 memory: 8198 grad_norm: 5.4536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5233 loss: 1.5233 2022/08/03 03:33:04 - mmengine - INFO - Epoch(train) [88][600/1879] lr: 1.0000e-02 eta: 1 day, 1:03:08 time: 0.2841 data_time: 0.0258 memory: 8198 grad_norm: 5.5306 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5160 loss: 1.5160 2022/08/03 03:33:10 - mmengine - INFO - Epoch(train) [88][620/1879] lr: 1.0000e-02 eta: 1 day, 1:03:02 time: 0.2890 data_time: 0.0254 memory: 8198 grad_norm: 5.4901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6908 loss: 1.6908 2022/08/03 03:33:15 - mmengine - INFO - Epoch(train) [88][640/1879] lr: 1.0000e-02 eta: 1 day, 1:02:57 time: 0.2836 data_time: 0.0242 memory: 8198 grad_norm: 5.3315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6083 loss: 1.6083 2022/08/03 03:33:21 - mmengine - INFO - Epoch(train) [88][660/1879] lr: 1.0000e-02 eta: 1 day, 1:02:51 time: 0.2872 data_time: 0.0283 memory: 8198 grad_norm: 5.5027 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8217 loss: 1.8217 2022/08/03 03:33:27 - mmengine - INFO - Epoch(train) [88][680/1879] lr: 1.0000e-02 eta: 1 day, 1:02:45 time: 0.2829 data_time: 0.0229 memory: 8198 grad_norm: 5.3929 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7684 loss: 1.7684 2022/08/03 03:33:32 - mmengine - INFO - Epoch(train) [88][700/1879] lr: 1.0000e-02 eta: 1 day, 1:02:40 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 5.3055 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7359 loss: 1.7359 2022/08/03 03:33:38 - mmengine - INFO - Epoch(train) [88][720/1879] lr: 1.0000e-02 eta: 1 day, 1:02:34 time: 0.2843 data_time: 0.0194 memory: 8198 grad_norm: 5.3804 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7711 loss: 1.7711 2022/08/03 03:33:44 - mmengine - INFO - Epoch(train) [88][740/1879] lr: 1.0000e-02 eta: 1 day, 1:02:29 time: 0.3076 data_time: 0.0209 memory: 8198 grad_norm: 5.4733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6286 loss: 1.6286 2022/08/03 03:33:50 - mmengine - INFO - Epoch(train) [88][760/1879] lr: 1.0000e-02 eta: 1 day, 1:02:24 time: 0.3045 data_time: 0.0227 memory: 8198 grad_norm: 5.4376 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7715 loss: 1.7715 2022/08/03 03:33:56 - mmengine - INFO - Epoch(train) [88][780/1879] lr: 1.0000e-02 eta: 1 day, 1:02:18 time: 0.2810 data_time: 0.0238 memory: 8198 grad_norm: 5.3987 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6748 loss: 1.6748 2022/08/03 03:34:02 - mmengine - INFO - Epoch(train) [88][800/1879] lr: 1.0000e-02 eta: 1 day, 1:02:14 time: 0.3095 data_time: 0.0158 memory: 8198 grad_norm: 5.4329 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4717 loss: 1.4717 2022/08/03 03:34:08 - mmengine - INFO - Epoch(train) [88][820/1879] lr: 1.0000e-02 eta: 1 day, 1:02:08 time: 0.2835 data_time: 0.0269 memory: 8198 grad_norm: 5.3722 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6142 loss: 1.6142 2022/08/03 03:34:14 - mmengine - INFO - Epoch(train) [88][840/1879] lr: 1.0000e-02 eta: 1 day, 1:02:02 time: 0.2902 data_time: 0.0213 memory: 8198 grad_norm: 5.4004 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6283 loss: 1.6283 2022/08/03 03:34:19 - mmengine - INFO - Epoch(train) [88][860/1879] lr: 1.0000e-02 eta: 1 day, 1:01:57 time: 0.2820 data_time: 0.0222 memory: 8198 grad_norm: 5.5199 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7107 loss: 1.7107 2022/08/03 03:34:25 - mmengine - INFO - Epoch(train) [88][880/1879] lr: 1.0000e-02 eta: 1 day, 1:01:51 time: 0.2999 data_time: 0.0415 memory: 8198 grad_norm: 5.4129 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6598 loss: 1.6598 2022/08/03 03:34:31 - mmengine - INFO - Epoch(train) [88][900/1879] lr: 1.0000e-02 eta: 1 day, 1:01:46 time: 0.2806 data_time: 0.0220 memory: 8198 grad_norm: 5.3557 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5695 loss: 1.5695 2022/08/03 03:34:37 - mmengine - INFO - Epoch(train) [88][920/1879] lr: 1.0000e-02 eta: 1 day, 1:01:40 time: 0.2854 data_time: 0.0231 memory: 8198 grad_norm: 5.3350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2725 loss: 1.2725 2022/08/03 03:34:43 - mmengine - INFO - Epoch(train) [88][940/1879] lr: 1.0000e-02 eta: 1 day, 1:01:35 time: 0.2976 data_time: 0.0222 memory: 8198 grad_norm: 5.5656 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4819 loss: 1.4819 2022/08/03 03:34:48 - mmengine - INFO - Epoch(train) [88][960/1879] lr: 1.0000e-02 eta: 1 day, 1:01:29 time: 0.2826 data_time: 0.0212 memory: 8198 grad_norm: 5.4509 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5748 loss: 1.5748 2022/08/03 03:34:54 - mmengine - INFO - Epoch(train) [88][980/1879] lr: 1.0000e-02 eta: 1 day, 1:01:23 time: 0.2876 data_time: 0.0254 memory: 8198 grad_norm: 5.5125 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6310 loss: 1.6310 2022/08/03 03:35:00 - mmengine - INFO - Epoch(train) [88][1000/1879] lr: 1.0000e-02 eta: 1 day, 1:01:18 time: 0.2913 data_time: 0.0247 memory: 8198 grad_norm: 5.4552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8442 loss: 1.8442 2022/08/03 03:35:06 - mmengine - INFO - Epoch(train) [88][1020/1879] lr: 1.0000e-02 eta: 1 day, 1:01:12 time: 0.2883 data_time: 0.0268 memory: 8198 grad_norm: 5.4143 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6157 loss: 1.6157 2022/08/03 03:35:11 - mmengine - INFO - Epoch(train) [88][1040/1879] lr: 1.0000e-02 eta: 1 day, 1:01:07 time: 0.2833 data_time: 0.0224 memory: 8198 grad_norm: 5.5126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6811 loss: 1.6811 2022/08/03 03:35:17 - mmengine - INFO - Epoch(train) [88][1060/1879] lr: 1.0000e-02 eta: 1 day, 1:01:01 time: 0.2875 data_time: 0.0231 memory: 8198 grad_norm: 5.3944 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8119 loss: 1.8119 2022/08/03 03:35:24 - mmengine - INFO - Epoch(train) [88][1080/1879] lr: 1.0000e-02 eta: 1 day, 1:00:59 time: 0.3656 data_time: 0.0456 memory: 8198 grad_norm: 5.2742 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6460 loss: 1.6460 2022/08/03 03:35:30 - mmengine - INFO - Epoch(train) [88][1100/1879] lr: 1.0000e-02 eta: 1 day, 1:00:53 time: 0.2844 data_time: 0.0231 memory: 8198 grad_norm: 5.4927 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/08/03 03:35:36 - mmengine - INFO - Epoch(train) [88][1120/1879] lr: 1.0000e-02 eta: 1 day, 1:00:47 time: 0.2817 data_time: 0.0243 memory: 8198 grad_norm: 5.5555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6895 loss: 1.6895 2022/08/03 03:35:42 - mmengine - INFO - Epoch(train) [88][1140/1879] lr: 1.0000e-02 eta: 1 day, 1:00:43 time: 0.3152 data_time: 0.0216 memory: 8198 grad_norm: 5.3390 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5428 loss: 1.5428 2022/08/03 03:35:48 - mmengine - INFO - Epoch(train) [88][1160/1879] lr: 1.0000e-02 eta: 1 day, 1:00:37 time: 0.2852 data_time: 0.0249 memory: 8198 grad_norm: 5.3882 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6951 loss: 1.6951 2022/08/03 03:35:54 - mmengine - INFO - Epoch(train) [88][1180/1879] lr: 1.0000e-02 eta: 1 day, 1:00:31 time: 0.2819 data_time: 0.0209 memory: 8198 grad_norm: 5.5486 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6211 loss: 1.6211 2022/08/03 03:36:00 - mmengine - INFO - Epoch(train) [88][1200/1879] lr: 1.0000e-02 eta: 1 day, 1:00:27 time: 0.3166 data_time: 0.0241 memory: 8198 grad_norm: 5.4589 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6606 loss: 1.6606 2022/08/03 03:36:06 - mmengine - INFO - Epoch(train) [88][1220/1879] lr: 1.0000e-02 eta: 1 day, 1:00:21 time: 0.2831 data_time: 0.0276 memory: 8198 grad_norm: 5.3184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6523 loss: 1.6523 2022/08/03 03:36:11 - mmengine - INFO - Epoch(train) [88][1240/1879] lr: 1.0000e-02 eta: 1 day, 1:00:15 time: 0.2868 data_time: 0.0216 memory: 8198 grad_norm: 5.4696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7370 loss: 1.7370 2022/08/03 03:36:17 - mmengine - INFO - Epoch(train) [88][1260/1879] lr: 1.0000e-02 eta: 1 day, 1:00:09 time: 0.2795 data_time: 0.0238 memory: 8198 grad_norm: 5.4353 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6362 loss: 1.6362 2022/08/03 03:36:23 - mmengine - INFO - Epoch(train) [88][1280/1879] lr: 1.0000e-02 eta: 1 day, 1:00:04 time: 0.2948 data_time: 0.0194 memory: 8198 grad_norm: 5.3278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7430 loss: 1.7430 2022/08/03 03:36:29 - mmengine - INFO - Epoch(train) [88][1300/1879] lr: 1.0000e-02 eta: 1 day, 0:59:58 time: 0.2832 data_time: 0.0244 memory: 8198 grad_norm: 5.5794 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6660 loss: 1.6660 2022/08/03 03:36:34 - mmengine - INFO - Epoch(train) [88][1320/1879] lr: 1.0000e-02 eta: 1 day, 0:59:53 time: 0.2891 data_time: 0.0282 memory: 8198 grad_norm: 5.4777 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5964 loss: 1.5964 2022/08/03 03:36:40 - mmengine - INFO - Epoch(train) [88][1340/1879] lr: 1.0000e-02 eta: 1 day, 0:59:47 time: 0.2811 data_time: 0.0244 memory: 8198 grad_norm: 5.3267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7484 loss: 1.7484 2022/08/03 03:36:46 - mmengine - INFO - Epoch(train) [88][1360/1879] lr: 1.0000e-02 eta: 1 day, 0:59:41 time: 0.2834 data_time: 0.0233 memory: 8198 grad_norm: 5.4795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7632 loss: 1.7632 2022/08/03 03:36:51 - mmengine - INFO - Epoch(train) [88][1380/1879] lr: 1.0000e-02 eta: 1 day, 0:59:36 time: 0.2873 data_time: 0.0213 memory: 8198 grad_norm: 5.4188 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6164 loss: 1.6164 2022/08/03 03:36:57 - mmengine - INFO - Epoch(train) [88][1400/1879] lr: 1.0000e-02 eta: 1 day, 0:59:30 time: 0.2814 data_time: 0.0245 memory: 8198 grad_norm: 5.3662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5939 loss: 1.5939 2022/08/03 03:37:03 - mmengine - INFO - Epoch(train) [88][1420/1879] lr: 1.0000e-02 eta: 1 day, 0:59:24 time: 0.2923 data_time: 0.0216 memory: 8198 grad_norm: 5.6634 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8269 loss: 1.8269 2022/08/03 03:37:09 - mmengine - INFO - Epoch(train) [88][1440/1879] lr: 1.0000e-02 eta: 1 day, 0:59:19 time: 0.2852 data_time: 0.0185 memory: 8198 grad_norm: 5.5113 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6660 loss: 1.6660 2022/08/03 03:37:15 - mmengine - INFO - Epoch(train) [88][1460/1879] lr: 1.0000e-02 eta: 1 day, 0:59:14 time: 0.3016 data_time: 0.0257 memory: 8198 grad_norm: 5.3494 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8407 loss: 1.8407 2022/08/03 03:37:20 - mmengine - INFO - Epoch(train) [88][1480/1879] lr: 1.0000e-02 eta: 1 day, 0:59:08 time: 0.2865 data_time: 0.0242 memory: 8198 grad_norm: 5.2840 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5891 loss: 1.5891 2022/08/03 03:37:26 - mmengine - INFO - Epoch(train) [88][1500/1879] lr: 1.0000e-02 eta: 1 day, 0:59:03 time: 0.2864 data_time: 0.0243 memory: 8198 grad_norm: 5.4235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6869 loss: 1.6869 2022/08/03 03:37:32 - mmengine - INFO - Epoch(train) [88][1520/1879] lr: 1.0000e-02 eta: 1 day, 0:58:57 time: 0.2954 data_time: 0.0257 memory: 8198 grad_norm: 5.4467 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3905 loss: 1.3905 2022/08/03 03:37:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:37:38 - mmengine - INFO - Epoch(train) [88][1540/1879] lr: 1.0000e-02 eta: 1 day, 0:58:52 time: 0.2871 data_time: 0.0266 memory: 8198 grad_norm: 5.4491 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8314 loss: 1.8314 2022/08/03 03:37:44 - mmengine - INFO - Epoch(train) [88][1560/1879] lr: 1.0000e-02 eta: 1 day, 0:58:46 time: 0.2922 data_time: 0.0204 memory: 8198 grad_norm: 5.3918 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4924 loss: 1.4924 2022/08/03 03:37:49 - mmengine - INFO - Epoch(train) [88][1580/1879] lr: 1.0000e-02 eta: 1 day, 0:58:41 time: 0.2857 data_time: 0.0245 memory: 8198 grad_norm: 5.5396 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6644 loss: 1.6644 2022/08/03 03:37:55 - mmengine - INFO - Epoch(train) [88][1600/1879] lr: 1.0000e-02 eta: 1 day, 0:58:35 time: 0.2827 data_time: 0.0201 memory: 8198 grad_norm: 5.4787 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9460 loss: 1.9460 2022/08/03 03:38:01 - mmengine - INFO - Epoch(train) [88][1620/1879] lr: 1.0000e-02 eta: 1 day, 0:58:30 time: 0.3005 data_time: 0.0211 memory: 8198 grad_norm: 5.5013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5809 loss: 1.5809 2022/08/03 03:38:07 - mmengine - INFO - Epoch(train) [88][1640/1879] lr: 1.0000e-02 eta: 1 day, 0:58:24 time: 0.2800 data_time: 0.0227 memory: 8198 grad_norm: 5.3897 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5742 loss: 1.5742 2022/08/03 03:38:13 - mmengine - INFO - Epoch(train) [88][1660/1879] lr: 1.0000e-02 eta: 1 day, 0:58:20 time: 0.3206 data_time: 0.0276 memory: 8198 grad_norm: 5.2702 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6807 loss: 1.6807 2022/08/03 03:38:19 - mmengine - INFO - Epoch(train) [88][1680/1879] lr: 1.0000e-02 eta: 1 day, 0:58:14 time: 0.2905 data_time: 0.0221 memory: 8198 grad_norm: 5.3218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5097 loss: 1.5097 2022/08/03 03:38:25 - mmengine - INFO - Epoch(train) [88][1700/1879] lr: 1.0000e-02 eta: 1 day, 0:58:09 time: 0.2874 data_time: 0.0240 memory: 8198 grad_norm: 5.3196 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9255 loss: 1.9255 2022/08/03 03:38:31 - mmengine - INFO - Epoch(train) [88][1720/1879] lr: 1.0000e-02 eta: 1 day, 0:58:04 time: 0.3093 data_time: 0.0209 memory: 8198 grad_norm: 5.2396 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7402 loss: 1.7402 2022/08/03 03:38:37 - mmengine - INFO - Epoch(train) [88][1740/1879] lr: 1.0000e-02 eta: 1 day, 0:57:58 time: 0.2801 data_time: 0.0211 memory: 8198 grad_norm: 5.2519 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5984 loss: 1.5984 2022/08/03 03:38:43 - mmengine - INFO - Epoch(train) [88][1760/1879] lr: 1.0000e-02 eta: 1 day, 0:57:53 time: 0.3181 data_time: 0.0174 memory: 8198 grad_norm: 5.3662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6565 loss: 1.6565 2022/08/03 03:38:49 - mmengine - INFO - Epoch(train) [88][1780/1879] lr: 1.0000e-02 eta: 1 day, 0:57:48 time: 0.2834 data_time: 0.0226 memory: 8198 grad_norm: 5.4648 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9486 loss: 1.9486 2022/08/03 03:38:54 - mmengine - INFO - Epoch(train) [88][1800/1879] lr: 1.0000e-02 eta: 1 day, 0:57:42 time: 0.2832 data_time: 0.0184 memory: 8198 grad_norm: 5.3316 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/08/03 03:39:00 - mmengine - INFO - Epoch(train) [88][1820/1879] lr: 1.0000e-02 eta: 1 day, 0:57:36 time: 0.2836 data_time: 0.0214 memory: 8198 grad_norm: 5.4195 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9571 loss: 1.9571 2022/08/03 03:39:06 - mmengine - INFO - Epoch(train) [88][1840/1879] lr: 1.0000e-02 eta: 1 day, 0:57:30 time: 0.2813 data_time: 0.0247 memory: 8198 grad_norm: 5.4894 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6974 loss: 1.6974 2022/08/03 03:39:12 - mmengine - INFO - Epoch(train) [88][1860/1879] lr: 1.0000e-02 eta: 1 day, 0:57:26 time: 0.3288 data_time: 0.0218 memory: 8198 grad_norm: 5.4574 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5945 loss: 1.5945 2022/08/03 03:39:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:39:17 - mmengine - INFO - Epoch(train) [88][1879/1879] lr: 1.0000e-02 eta: 1 day, 0:57:26 time: 0.2544 data_time: 0.0154 memory: 8198 grad_norm: 5.6543 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6854 loss: 1.6854 2022/08/03 03:39:17 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/08/03 03:39:27 - mmengine - INFO - Epoch(train) [89][20/1879] lr: 1.0000e-02 eta: 1 day, 0:57:08 time: 0.3562 data_time: 0.0965 memory: 8198 grad_norm: 5.2029 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6769 loss: 1.6769 2022/08/03 03:39:33 - mmengine - INFO - Epoch(train) [89][40/1879] lr: 1.0000e-02 eta: 1 day, 0:57:02 time: 0.2819 data_time: 0.0193 memory: 8198 grad_norm: 5.2316 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5410 loss: 1.5410 2022/08/03 03:39:39 - mmengine - INFO - Epoch(train) [89][60/1879] lr: 1.0000e-02 eta: 1 day, 0:56:57 time: 0.3027 data_time: 0.0349 memory: 8198 grad_norm: 5.3515 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4568 loss: 1.4568 2022/08/03 03:39:45 - mmengine - INFO - Epoch(train) [89][80/1879] lr: 1.0000e-02 eta: 1 day, 0:56:51 time: 0.2824 data_time: 0.0254 memory: 8198 grad_norm: 5.1645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7757 loss: 1.7757 2022/08/03 03:39:50 - mmengine - INFO - Epoch(train) [89][100/1879] lr: 1.0000e-02 eta: 1 day, 0:56:45 time: 0.2841 data_time: 0.0212 memory: 8198 grad_norm: 5.4049 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8154 loss: 1.8154 2022/08/03 03:39:56 - mmengine - INFO - Epoch(train) [89][120/1879] lr: 1.0000e-02 eta: 1 day, 0:56:40 time: 0.2837 data_time: 0.0234 memory: 8198 grad_norm: 5.3752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6032 loss: 1.6032 2022/08/03 03:40:02 - mmengine - INFO - Epoch(train) [89][140/1879] lr: 1.0000e-02 eta: 1 day, 0:56:34 time: 0.2853 data_time: 0.0191 memory: 8198 grad_norm: 5.3553 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5919 loss: 1.5919 2022/08/03 03:40:08 - mmengine - INFO - Epoch(train) [89][160/1879] lr: 1.0000e-02 eta: 1 day, 0:56:28 time: 0.2857 data_time: 0.0276 memory: 8198 grad_norm: 5.3726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5163 loss: 1.5163 2022/08/03 03:40:13 - mmengine - INFO - Epoch(train) [89][180/1879] lr: 1.0000e-02 eta: 1 day, 0:56:23 time: 0.2895 data_time: 0.0208 memory: 8198 grad_norm: 5.4219 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6987 loss: 1.6987 2022/08/03 03:40:19 - mmengine - INFO - Epoch(train) [89][200/1879] lr: 1.0000e-02 eta: 1 day, 0:56:17 time: 0.2900 data_time: 0.0236 memory: 8198 grad_norm: 5.2648 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6701 loss: 1.6701 2022/08/03 03:40:25 - mmengine - INFO - Epoch(train) [89][220/1879] lr: 1.0000e-02 eta: 1 day, 0:56:12 time: 0.2861 data_time: 0.0262 memory: 8198 grad_norm: 5.3110 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6445 loss: 1.6445 2022/08/03 03:40:31 - mmengine - INFO - Epoch(train) [89][240/1879] lr: 1.0000e-02 eta: 1 day, 0:56:06 time: 0.2772 data_time: 0.0197 memory: 8198 grad_norm: 5.5611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6086 loss: 1.6086 2022/08/03 03:40:36 - mmengine - INFO - Epoch(train) [89][260/1879] lr: 1.0000e-02 eta: 1 day, 0:56:00 time: 0.2829 data_time: 0.0208 memory: 8198 grad_norm: 5.4299 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7117 loss: 1.7117 2022/08/03 03:40:42 - mmengine - INFO - Epoch(train) [89][280/1879] lr: 1.0000e-02 eta: 1 day, 0:55:55 time: 0.2961 data_time: 0.0242 memory: 8198 grad_norm: 5.3986 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7322 loss: 1.7322 2022/08/03 03:40:48 - mmengine - INFO - Epoch(train) [89][300/1879] lr: 1.0000e-02 eta: 1 day, 0:55:49 time: 0.2898 data_time: 0.0265 memory: 8198 grad_norm: 5.5076 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7375 loss: 1.7375 2022/08/03 03:40:54 - mmengine - INFO - Epoch(train) [89][320/1879] lr: 1.0000e-02 eta: 1 day, 0:55:44 time: 0.2890 data_time: 0.0235 memory: 8198 grad_norm: 5.4611 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7313 loss: 1.7313 2022/08/03 03:41:00 - mmengine - INFO - Epoch(train) [89][340/1879] lr: 1.0000e-02 eta: 1 day, 0:55:39 time: 0.2940 data_time: 0.0245 memory: 8198 grad_norm: 5.3211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5998 loss: 1.5998 2022/08/03 03:41:05 - mmengine - INFO - Epoch(train) [89][360/1879] lr: 1.0000e-02 eta: 1 day, 0:55:33 time: 0.2821 data_time: 0.0218 memory: 8198 grad_norm: 5.3698 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6027 loss: 1.6027 2022/08/03 03:41:11 - mmengine - INFO - Epoch(train) [89][380/1879] lr: 1.0000e-02 eta: 1 day, 0:55:27 time: 0.2957 data_time: 0.0224 memory: 8198 grad_norm: 5.2740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6258 loss: 1.6258 2022/08/03 03:41:17 - mmengine - INFO - Epoch(train) [89][400/1879] lr: 1.0000e-02 eta: 1 day, 0:55:22 time: 0.2794 data_time: 0.0210 memory: 8198 grad_norm: 5.4874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5561 loss: 1.5561 2022/08/03 03:41:23 - mmengine - INFO - Epoch(train) [89][420/1879] lr: 1.0000e-02 eta: 1 day, 0:55:16 time: 0.2877 data_time: 0.0237 memory: 8198 grad_norm: 5.2141 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/08/03 03:41:28 - mmengine - INFO - Epoch(train) [89][440/1879] lr: 1.0000e-02 eta: 1 day, 0:55:10 time: 0.2843 data_time: 0.0220 memory: 8198 grad_norm: 5.1359 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4830 loss: 1.4830 2022/08/03 03:41:35 - mmengine - INFO - Epoch(train) [89][460/1879] lr: 1.0000e-02 eta: 1 day, 0:55:06 time: 0.3154 data_time: 0.0451 memory: 8198 grad_norm: 5.3922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7182 loss: 1.7182 2022/08/03 03:41:40 - mmengine - INFO - Epoch(train) [89][480/1879] lr: 1.0000e-02 eta: 1 day, 0:55:00 time: 0.2817 data_time: 0.0213 memory: 8198 grad_norm: 5.4680 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6276 loss: 1.6276 2022/08/03 03:41:46 - mmengine - INFO - Epoch(train) [89][500/1879] lr: 1.0000e-02 eta: 1 day, 0:54:54 time: 0.2845 data_time: 0.0231 memory: 8198 grad_norm: 5.3796 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5044 loss: 1.5044 2022/08/03 03:41:52 - mmengine - INFO - Epoch(train) [89][520/1879] lr: 1.0000e-02 eta: 1 day, 0:54:49 time: 0.2889 data_time: 0.0276 memory: 8198 grad_norm: 5.3341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5550 loss: 1.5550 2022/08/03 03:41:58 - mmengine - INFO - Epoch(train) [89][540/1879] lr: 1.0000e-02 eta: 1 day, 0:54:43 time: 0.2898 data_time: 0.0231 memory: 8198 grad_norm: 5.4692 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6802 loss: 1.6802 2022/08/03 03:42:04 - mmengine - INFO - Epoch(train) [89][560/1879] lr: 1.0000e-02 eta: 1 day, 0:54:38 time: 0.2957 data_time: 0.0266 memory: 8198 grad_norm: 5.2766 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4674 loss: 1.4674 2022/08/03 03:42:09 - mmengine - INFO - Epoch(train) [89][580/1879] lr: 1.0000e-02 eta: 1 day, 0:54:32 time: 0.2833 data_time: 0.0216 memory: 8198 grad_norm: 5.6388 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7939 loss: 1.7939 2022/08/03 03:42:16 - mmengine - INFO - Epoch(train) [89][600/1879] lr: 1.0000e-02 eta: 1 day, 0:54:28 time: 0.3321 data_time: 0.0415 memory: 8198 grad_norm: 5.3873 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6114 loss: 1.6114 2022/08/03 03:42:22 - mmengine - INFO - Epoch(train) [89][620/1879] lr: 1.0000e-02 eta: 1 day, 0:54:23 time: 0.2863 data_time: 0.0282 memory: 8198 grad_norm: 5.5311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8000 loss: 1.8000 2022/08/03 03:42:27 - mmengine - INFO - Epoch(train) [89][640/1879] lr: 1.0000e-02 eta: 1 day, 0:54:17 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 5.2093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5834 loss: 1.5834 2022/08/03 03:42:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:42:34 - mmengine - INFO - Epoch(train) [89][660/1879] lr: 1.0000e-02 eta: 1 day, 0:54:13 time: 0.3360 data_time: 0.0177 memory: 8198 grad_norm: 5.4053 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6605 loss: 1.6605 2022/08/03 03:42:41 - mmengine - INFO - Epoch(train) [89][680/1879] lr: 1.0000e-02 eta: 1 day, 0:54:10 time: 0.3462 data_time: 0.0282 memory: 8198 grad_norm: 5.3526 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6420 loss: 1.6420 2022/08/03 03:42:47 - mmengine - INFO - Epoch(train) [89][700/1879] lr: 1.0000e-02 eta: 1 day, 0:54:04 time: 0.2784 data_time: 0.0185 memory: 8198 grad_norm: 5.5563 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5528 loss: 1.5528 2022/08/03 03:42:53 - mmengine - INFO - Epoch(train) [89][720/1879] lr: 1.0000e-02 eta: 1 day, 0:53:59 time: 0.3120 data_time: 0.0258 memory: 8198 grad_norm: 5.5478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8050 loss: 1.8050 2022/08/03 03:42:58 - mmengine - INFO - Epoch(train) [89][740/1879] lr: 1.0000e-02 eta: 1 day, 0:53:53 time: 0.2823 data_time: 0.0223 memory: 8198 grad_norm: 5.4351 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5470 loss: 1.5470 2022/08/03 03:43:08 - mmengine - INFO - Epoch(train) [89][760/1879] lr: 1.0000e-02 eta: 1 day, 0:53:54 time: 0.4534 data_time: 0.0268 memory: 8198 grad_norm: 5.1973 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6746 loss: 1.6746 2022/08/03 03:43:14 - mmengine - INFO - Epoch(train) [89][780/1879] lr: 1.0000e-02 eta: 1 day, 0:53:49 time: 0.3071 data_time: 0.0237 memory: 8198 grad_norm: 5.3278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6159 loss: 1.6159 2022/08/03 03:43:19 - mmengine - INFO - Epoch(train) [89][800/1879] lr: 1.0000e-02 eta: 1 day, 0:53:44 time: 0.2848 data_time: 0.0250 memory: 8198 grad_norm: 5.3803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7833 loss: 1.7833 2022/08/03 03:43:25 - mmengine - INFO - Epoch(train) [89][820/1879] lr: 1.0000e-02 eta: 1 day, 0:53:38 time: 0.2942 data_time: 0.0215 memory: 8198 grad_norm: 5.4846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6557 loss: 1.6557 2022/08/03 03:43:35 - mmengine - INFO - Epoch(train) [89][840/1879] lr: 1.0000e-02 eta: 1 day, 0:53:40 time: 0.4770 data_time: 0.0212 memory: 8198 grad_norm: 5.3717 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7171 loss: 1.7171 2022/08/03 03:43:40 - mmengine - INFO - Epoch(train) [89][860/1879] lr: 1.0000e-02 eta: 1 day, 0:53:34 time: 0.2810 data_time: 0.0226 memory: 8198 grad_norm: 5.4385 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7227 loss: 1.7227 2022/08/03 03:43:46 - mmengine - INFO - Epoch(train) [89][880/1879] lr: 1.0000e-02 eta: 1 day, 0:53:28 time: 0.2812 data_time: 0.0244 memory: 8198 grad_norm: 5.2141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4796 loss: 1.4796 2022/08/03 03:43:52 - mmengine - INFO - Epoch(train) [89][900/1879] lr: 1.0000e-02 eta: 1 day, 0:53:23 time: 0.3004 data_time: 0.0215 memory: 8198 grad_norm: 5.5123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8656 loss: 1.8656 2022/08/03 03:43:58 - mmengine - INFO - Epoch(train) [89][920/1879] lr: 1.0000e-02 eta: 1 day, 0:53:18 time: 0.2993 data_time: 0.0330 memory: 8198 grad_norm: 5.3807 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5820 loss: 1.5820 2022/08/03 03:44:04 - mmengine - INFO - Epoch(train) [89][940/1879] lr: 1.0000e-02 eta: 1 day, 0:53:13 time: 0.2900 data_time: 0.0230 memory: 8198 grad_norm: 5.4915 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5410 loss: 1.5410 2022/08/03 03:44:11 - mmengine - INFO - Epoch(train) [89][960/1879] lr: 1.0000e-02 eta: 1 day, 0:53:09 time: 0.3529 data_time: 0.0342 memory: 8198 grad_norm: 5.4680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5575 loss: 1.5575 2022/08/03 03:44:17 - mmengine - INFO - Epoch(train) [89][980/1879] lr: 1.0000e-02 eta: 1 day, 0:53:04 time: 0.2876 data_time: 0.0218 memory: 8198 grad_norm: 5.3936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/08/03 03:44:22 - mmengine - INFO - Epoch(train) [89][1000/1879] lr: 1.0000e-02 eta: 1 day, 0:52:58 time: 0.2841 data_time: 0.0253 memory: 8198 grad_norm: 5.5201 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7542 loss: 1.7542 2022/08/03 03:44:28 - mmengine - INFO - Epoch(train) [89][1020/1879] lr: 1.0000e-02 eta: 1 day, 0:52:52 time: 0.2840 data_time: 0.0201 memory: 8198 grad_norm: 5.4755 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6774 loss: 1.6774 2022/08/03 03:44:34 - mmengine - INFO - Epoch(train) [89][1040/1879] lr: 1.0000e-02 eta: 1 day, 0:52:48 time: 0.3090 data_time: 0.0229 memory: 8198 grad_norm: 5.4393 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5093 loss: 1.5093 2022/08/03 03:44:40 - mmengine - INFO - Epoch(train) [89][1060/1879] lr: 1.0000e-02 eta: 1 day, 0:52:42 time: 0.2863 data_time: 0.0217 memory: 8198 grad_norm: 5.2920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6385 loss: 1.6385 2022/08/03 03:44:46 - mmengine - INFO - Epoch(train) [89][1080/1879] lr: 1.0000e-02 eta: 1 day, 0:52:36 time: 0.2846 data_time: 0.0230 memory: 8198 grad_norm: 5.2181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6009 loss: 1.6009 2022/08/03 03:44:54 - mmengine - INFO - Epoch(train) [89][1100/1879] lr: 1.0000e-02 eta: 1 day, 0:52:36 time: 0.4135 data_time: 0.0286 memory: 8198 grad_norm: 5.3410 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7522 loss: 1.7522 2022/08/03 03:45:00 - mmengine - INFO - Epoch(train) [89][1120/1879] lr: 1.0000e-02 eta: 1 day, 0:52:30 time: 0.2871 data_time: 0.0250 memory: 8198 grad_norm: 5.5046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6701 loss: 1.6701 2022/08/03 03:45:06 - mmengine - INFO - Epoch(train) [89][1140/1879] lr: 1.0000e-02 eta: 1 day, 0:52:24 time: 0.2869 data_time: 0.0241 memory: 8198 grad_norm: 5.3885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6113 loss: 1.6113 2022/08/03 03:45:12 - mmengine - INFO - Epoch(train) [89][1160/1879] lr: 1.0000e-02 eta: 1 day, 0:52:19 time: 0.2910 data_time: 0.0210 memory: 8198 grad_norm: 5.2599 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4004 loss: 1.4004 2022/08/03 03:45:17 - mmengine - INFO - Epoch(train) [89][1180/1879] lr: 1.0000e-02 eta: 1 day, 0:52:13 time: 0.2920 data_time: 0.0291 memory: 8198 grad_norm: 5.3978 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6881 loss: 1.6881 2022/08/03 03:45:23 - mmengine - INFO - Epoch(train) [89][1200/1879] lr: 1.0000e-02 eta: 1 day, 0:52:08 time: 0.2954 data_time: 0.0257 memory: 8198 grad_norm: 5.4981 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6598 loss: 1.6598 2022/08/03 03:45:29 - mmengine - INFO - Epoch(train) [89][1220/1879] lr: 1.0000e-02 eta: 1 day, 0:52:03 time: 0.2909 data_time: 0.0226 memory: 8198 grad_norm: 5.2734 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7122 loss: 1.7122 2022/08/03 03:45:35 - mmengine - INFO - Epoch(train) [89][1240/1879] lr: 1.0000e-02 eta: 1 day, 0:51:58 time: 0.3087 data_time: 0.0234 memory: 8198 grad_norm: 5.4152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5282 loss: 1.5282 2022/08/03 03:45:41 - mmengine - INFO - Epoch(train) [89][1260/1879] lr: 1.0000e-02 eta: 1 day, 0:51:52 time: 0.2896 data_time: 0.0194 memory: 8198 grad_norm: 5.5106 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8222 loss: 1.8222 2022/08/03 03:45:47 - mmengine - INFO - Epoch(train) [89][1280/1879] lr: 1.0000e-02 eta: 1 day, 0:51:47 time: 0.2837 data_time: 0.0222 memory: 8198 grad_norm: 5.2774 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4373 loss: 1.4373 2022/08/03 03:45:53 - mmengine - INFO - Epoch(train) [89][1300/1879] lr: 1.0000e-02 eta: 1 day, 0:51:41 time: 0.2857 data_time: 0.0261 memory: 8198 grad_norm: 5.3627 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7922 loss: 1.7922 2022/08/03 03:45:59 - mmengine - INFO - Epoch(train) [89][1320/1879] lr: 1.0000e-02 eta: 1 day, 0:51:36 time: 0.3074 data_time: 0.0242 memory: 8198 grad_norm: 5.4246 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7076 loss: 1.7076 2022/08/03 03:46:04 - mmengine - INFO - Epoch(train) [89][1340/1879] lr: 1.0000e-02 eta: 1 day, 0:51:30 time: 0.2843 data_time: 0.0264 memory: 8198 grad_norm: 5.2835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/08/03 03:46:10 - mmengine - INFO - Epoch(train) [89][1360/1879] lr: 1.0000e-02 eta: 1 day, 0:51:25 time: 0.2956 data_time: 0.0228 memory: 8198 grad_norm: 5.4796 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5768 loss: 1.5768 2022/08/03 03:46:16 - mmengine - INFO - Epoch(train) [89][1380/1879] lr: 1.0000e-02 eta: 1 day, 0:51:19 time: 0.2841 data_time: 0.0266 memory: 8198 grad_norm: 5.2921 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7992 loss: 1.7992 2022/08/03 03:46:22 - mmengine - INFO - Epoch(train) [89][1400/1879] lr: 1.0000e-02 eta: 1 day, 0:51:14 time: 0.2863 data_time: 0.0243 memory: 8198 grad_norm: 5.3733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5240 loss: 1.5240 2022/08/03 03:46:27 - mmengine - INFO - Epoch(train) [89][1420/1879] lr: 1.0000e-02 eta: 1 day, 0:51:08 time: 0.2799 data_time: 0.0242 memory: 8198 grad_norm: 5.3623 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6692 loss: 1.6692 2022/08/03 03:46:33 - mmengine - INFO - Epoch(train) [89][1440/1879] lr: 1.0000e-02 eta: 1 day, 0:51:03 time: 0.2973 data_time: 0.0213 memory: 8198 grad_norm: 5.4059 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8122 loss: 1.8122 2022/08/03 03:46:39 - mmengine - INFO - Epoch(train) [89][1460/1879] lr: 1.0000e-02 eta: 1 day, 0:50:57 time: 0.2819 data_time: 0.0237 memory: 8198 grad_norm: 5.3390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5455 loss: 1.5455 2022/08/03 03:46:45 - mmengine - INFO - Epoch(train) [89][1480/1879] lr: 1.0000e-02 eta: 1 day, 0:50:51 time: 0.2816 data_time: 0.0226 memory: 8198 grad_norm: 5.3629 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7461 loss: 1.7461 2022/08/03 03:46:51 - mmengine - INFO - Epoch(train) [89][1500/1879] lr: 1.0000e-02 eta: 1 day, 0:50:46 time: 0.2941 data_time: 0.0228 memory: 8198 grad_norm: 5.5016 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7028 loss: 1.7028 2022/08/03 03:46:56 - mmengine - INFO - Epoch(train) [89][1520/1879] lr: 1.0000e-02 eta: 1 day, 0:50:40 time: 0.2800 data_time: 0.0209 memory: 8198 grad_norm: 5.2651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7798 loss: 1.7798 2022/08/03 03:47:02 - mmengine - INFO - Epoch(train) [89][1540/1879] lr: 1.0000e-02 eta: 1 day, 0:50:35 time: 0.2945 data_time: 0.0260 memory: 8198 grad_norm: 5.4373 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9837 loss: 1.9837 2022/08/03 03:47:08 - mmengine - INFO - Epoch(train) [89][1560/1879] lr: 1.0000e-02 eta: 1 day, 0:50:29 time: 0.2834 data_time: 0.0258 memory: 8198 grad_norm: 5.4107 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6125 loss: 1.6125 2022/08/03 03:47:14 - mmengine - INFO - Epoch(train) [89][1580/1879] lr: 1.0000e-02 eta: 1 day, 0:50:24 time: 0.2962 data_time: 0.0228 memory: 8198 grad_norm: 5.5557 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8054 loss: 1.8054 2022/08/03 03:47:19 - mmengine - INFO - Epoch(train) [89][1600/1879] lr: 1.0000e-02 eta: 1 day, 0:50:18 time: 0.2796 data_time: 0.0210 memory: 8198 grad_norm: 5.3311 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/08/03 03:47:25 - mmengine - INFO - Epoch(train) [89][1620/1879] lr: 1.0000e-02 eta: 1 day, 0:50:12 time: 0.2890 data_time: 0.0265 memory: 8198 grad_norm: 5.4339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7927 loss: 1.7927 2022/08/03 03:47:31 - mmengine - INFO - Epoch(train) [89][1640/1879] lr: 1.0000e-02 eta: 1 day, 0:50:07 time: 0.2888 data_time: 0.0188 memory: 8198 grad_norm: 5.4452 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6119 loss: 1.6119 2022/08/03 03:47:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:47:37 - mmengine - INFO - Epoch(train) [89][1660/1879] lr: 1.0000e-02 eta: 1 day, 0:50:01 time: 0.2853 data_time: 0.0226 memory: 8198 grad_norm: 5.4430 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5595 loss: 1.5595 2022/08/03 03:47:43 - mmengine - INFO - Epoch(train) [89][1680/1879] lr: 1.0000e-02 eta: 1 day, 0:49:56 time: 0.3183 data_time: 0.0254 memory: 8198 grad_norm: 5.4159 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7366 loss: 1.7366 2022/08/03 03:47:49 - mmengine - INFO - Epoch(train) [89][1700/1879] lr: 1.0000e-02 eta: 1 day, 0:49:51 time: 0.2830 data_time: 0.0246 memory: 8198 grad_norm: 5.3916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5461 loss: 1.5461 2022/08/03 03:47:54 - mmengine - INFO - Epoch(train) [89][1720/1879] lr: 1.0000e-02 eta: 1 day, 0:49:45 time: 0.2843 data_time: 0.0257 memory: 8198 grad_norm: 5.5171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8380 loss: 1.8380 2022/08/03 03:48:00 - mmengine - INFO - Epoch(train) [89][1740/1879] lr: 1.0000e-02 eta: 1 day, 0:49:40 time: 0.2924 data_time: 0.0204 memory: 8198 grad_norm: 5.4164 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6398 loss: 1.6398 2022/08/03 03:48:06 - mmengine - INFO - Epoch(train) [89][1760/1879] lr: 1.0000e-02 eta: 1 day, 0:49:34 time: 0.2828 data_time: 0.0225 memory: 8198 grad_norm: 5.4464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5566 loss: 1.5566 2022/08/03 03:48:12 - mmengine - INFO - Epoch(train) [89][1780/1879] lr: 1.0000e-02 eta: 1 day, 0:49:29 time: 0.2963 data_time: 0.0247 memory: 8198 grad_norm: 5.2961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5837 loss: 1.5837 2022/08/03 03:48:18 - mmengine - INFO - Epoch(train) [89][1800/1879] lr: 1.0000e-02 eta: 1 day, 0:49:23 time: 0.2819 data_time: 0.0221 memory: 8198 grad_norm: 5.3196 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6765 loss: 1.6765 2022/08/03 03:48:23 - mmengine - INFO - Epoch(train) [89][1820/1879] lr: 1.0000e-02 eta: 1 day, 0:49:17 time: 0.2905 data_time: 0.0221 memory: 8198 grad_norm: 5.4309 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6246 loss: 1.6246 2022/08/03 03:48:29 - mmengine - INFO - Epoch(train) [89][1840/1879] lr: 1.0000e-02 eta: 1 day, 0:49:12 time: 0.2824 data_time: 0.0207 memory: 8198 grad_norm: 5.3963 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6059 loss: 1.6059 2022/08/03 03:48:35 - mmengine - INFO - Epoch(train) [89][1860/1879] lr: 1.0000e-02 eta: 1 day, 0:49:06 time: 0.2872 data_time: 0.0243 memory: 8198 grad_norm: 5.2234 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6397 loss: 1.6397 2022/08/03 03:48:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:48:40 - mmengine - INFO - Epoch(train) [89][1879/1879] lr: 1.0000e-02 eta: 1 day, 0:49:06 time: 0.2547 data_time: 0.0167 memory: 8198 grad_norm: 5.2813 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.6380 loss: 1.6380 2022/08/03 03:48:49 - mmengine - INFO - Epoch(train) [90][20/1879] lr: 1.0000e-02 eta: 1 day, 0:48:52 time: 0.4765 data_time: 0.1919 memory: 8198 grad_norm: 5.4296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8514 loss: 1.8514 2022/08/03 03:48:55 - mmengine - INFO - Epoch(train) [90][40/1879] lr: 1.0000e-02 eta: 1 day, 0:48:46 time: 0.2899 data_time: 0.0229 memory: 8198 grad_norm: 5.3251 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6517 loss: 1.6517 2022/08/03 03:49:01 - mmengine - INFO - Epoch(train) [90][60/1879] lr: 1.0000e-02 eta: 1 day, 0:48:41 time: 0.2945 data_time: 0.0288 memory: 8198 grad_norm: 5.2949 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7546 loss: 1.7546 2022/08/03 03:49:07 - mmengine - INFO - Epoch(train) [90][80/1879] lr: 1.0000e-02 eta: 1 day, 0:48:35 time: 0.2823 data_time: 0.0239 memory: 8198 grad_norm: 5.2518 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6707 loss: 1.6707 2022/08/03 03:49:12 - mmengine - INFO - Epoch(train) [90][100/1879] lr: 1.0000e-02 eta: 1 day, 0:48:30 time: 0.2911 data_time: 0.0298 memory: 8198 grad_norm: 5.5473 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6813 loss: 1.6813 2022/08/03 03:49:18 - mmengine - INFO - Epoch(train) [90][120/1879] lr: 1.0000e-02 eta: 1 day, 0:48:24 time: 0.2844 data_time: 0.0223 memory: 8198 grad_norm: 5.4167 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8212 loss: 1.8212 2022/08/03 03:49:24 - mmengine - INFO - Epoch(train) [90][140/1879] lr: 1.0000e-02 eta: 1 day, 0:48:18 time: 0.2861 data_time: 0.0260 memory: 8198 grad_norm: 5.3734 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4456 loss: 1.4456 2022/08/03 03:49:30 - mmengine - INFO - Epoch(train) [90][160/1879] lr: 1.0000e-02 eta: 1 day, 0:48:13 time: 0.2903 data_time: 0.0276 memory: 8198 grad_norm: 5.4901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5427 loss: 1.5427 2022/08/03 03:49:35 - mmengine - INFO - Epoch(train) [90][180/1879] lr: 1.0000e-02 eta: 1 day, 0:48:07 time: 0.2857 data_time: 0.0216 memory: 8198 grad_norm: 5.3256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5140 loss: 1.5140 2022/08/03 03:49:41 - mmengine - INFO - Epoch(train) [90][200/1879] lr: 1.0000e-02 eta: 1 day, 0:48:02 time: 0.2856 data_time: 0.0242 memory: 8198 grad_norm: 5.1775 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5340 loss: 1.5340 2022/08/03 03:49:47 - mmengine - INFO - Epoch(train) [90][220/1879] lr: 1.0000e-02 eta: 1 day, 0:47:56 time: 0.2815 data_time: 0.0202 memory: 8198 grad_norm: 5.4304 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5412 loss: 1.5412 2022/08/03 03:49:52 - mmengine - INFO - Epoch(train) [90][240/1879] lr: 1.0000e-02 eta: 1 day, 0:47:50 time: 0.2851 data_time: 0.0219 memory: 8198 grad_norm: 5.4160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/08/03 03:49:58 - mmengine - INFO - Epoch(train) [90][260/1879] lr: 1.0000e-02 eta: 1 day, 0:47:44 time: 0.2826 data_time: 0.0190 memory: 8198 grad_norm: 5.4445 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7437 loss: 1.7437 2022/08/03 03:50:04 - mmengine - INFO - Epoch(train) [90][280/1879] lr: 1.0000e-02 eta: 1 day, 0:47:39 time: 0.2895 data_time: 0.0206 memory: 8198 grad_norm: 5.3612 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8249 loss: 1.8249 2022/08/03 03:50:10 - mmengine - INFO - Epoch(train) [90][300/1879] lr: 1.0000e-02 eta: 1 day, 0:47:33 time: 0.2812 data_time: 0.0226 memory: 8198 grad_norm: 5.4058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6751 loss: 1.6751 2022/08/03 03:50:15 - mmengine - INFO - Epoch(train) [90][320/1879] lr: 1.0000e-02 eta: 1 day, 0:47:27 time: 0.2834 data_time: 0.0241 memory: 8198 grad_norm: 5.6128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6422 loss: 1.6422 2022/08/03 03:50:21 - mmengine - INFO - Epoch(train) [90][340/1879] lr: 1.0000e-02 eta: 1 day, 0:47:22 time: 0.2886 data_time: 0.0251 memory: 8198 grad_norm: 5.4497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8891 loss: 1.8891 2022/08/03 03:50:27 - mmengine - INFO - Epoch(train) [90][360/1879] lr: 1.0000e-02 eta: 1 day, 0:47:16 time: 0.2904 data_time: 0.0279 memory: 8198 grad_norm: 5.3733 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5547 loss: 1.5547 2022/08/03 03:50:32 - mmengine - INFO - Epoch(train) [90][380/1879] lr: 1.0000e-02 eta: 1 day, 0:47:10 time: 0.2787 data_time: 0.0205 memory: 8198 grad_norm: 5.3217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5981 loss: 1.5981 2022/08/03 03:50:38 - mmengine - INFO - Epoch(train) [90][400/1879] lr: 1.0000e-02 eta: 1 day, 0:47:05 time: 0.2840 data_time: 0.0266 memory: 8198 grad_norm: 5.4218 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5279 loss: 1.5279 2022/08/03 03:50:44 - mmengine - INFO - Epoch(train) [90][420/1879] lr: 1.0000e-02 eta: 1 day, 0:46:59 time: 0.2913 data_time: 0.0203 memory: 8198 grad_norm: 5.4226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7122 loss: 1.7122 2022/08/03 03:50:50 - mmengine - INFO - Epoch(train) [90][440/1879] lr: 1.0000e-02 eta: 1 day, 0:46:53 time: 0.2831 data_time: 0.0207 memory: 8198 grad_norm: 5.4404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5071 loss: 1.5071 2022/08/03 03:50:55 - mmengine - INFO - Epoch(train) [90][460/1879] lr: 1.0000e-02 eta: 1 day, 0:46:48 time: 0.2846 data_time: 0.0255 memory: 8198 grad_norm: 5.3550 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4908 loss: 1.4908 2022/08/03 03:51:01 - mmengine - INFO - Epoch(train) [90][480/1879] lr: 1.0000e-02 eta: 1 day, 0:46:42 time: 0.2910 data_time: 0.0222 memory: 8198 grad_norm: 5.3837 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5777 loss: 1.5777 2022/08/03 03:51:07 - mmengine - INFO - Epoch(train) [90][500/1879] lr: 1.0000e-02 eta: 1 day, 0:46:37 time: 0.2821 data_time: 0.0260 memory: 8198 grad_norm: 5.4416 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5982 loss: 1.5982 2022/08/03 03:51:13 - mmengine - INFO - Epoch(train) [90][520/1879] lr: 1.0000e-02 eta: 1 day, 0:46:31 time: 0.2859 data_time: 0.0270 memory: 8198 grad_norm: 5.3205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5837 loss: 1.5837 2022/08/03 03:51:18 - mmengine - INFO - Epoch(train) [90][540/1879] lr: 1.0000e-02 eta: 1 day, 0:46:25 time: 0.2822 data_time: 0.0204 memory: 8198 grad_norm: 5.4115 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5649 loss: 1.5649 2022/08/03 03:51:24 - mmengine - INFO - Epoch(train) [90][560/1879] lr: 1.0000e-02 eta: 1 day, 0:46:19 time: 0.2825 data_time: 0.0232 memory: 8198 grad_norm: 5.3951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6912 loss: 1.6912 2022/08/03 03:51:30 - mmengine - INFO - Epoch(train) [90][580/1879] lr: 1.0000e-02 eta: 1 day, 0:46:14 time: 0.2947 data_time: 0.0196 memory: 8198 grad_norm: 5.5092 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/03 03:51:35 - mmengine - INFO - Epoch(train) [90][600/1879] lr: 1.0000e-02 eta: 1 day, 0:46:08 time: 0.2796 data_time: 0.0202 memory: 8198 grad_norm: 5.4699 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4511 loss: 1.4511 2022/08/03 03:51:41 - mmengine - INFO - Epoch(train) [90][620/1879] lr: 1.0000e-02 eta: 1 day, 0:46:02 time: 0.2874 data_time: 0.0216 memory: 8198 grad_norm: 5.4837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5655 loss: 1.5655 2022/08/03 03:51:47 - mmengine - INFO - Epoch(train) [90][640/1879] lr: 1.0000e-02 eta: 1 day, 0:45:57 time: 0.2822 data_time: 0.0189 memory: 8198 grad_norm: 5.5239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7538 loss: 1.7538 2022/08/03 03:51:53 - mmengine - INFO - Epoch(train) [90][660/1879] lr: 1.0000e-02 eta: 1 day, 0:45:51 time: 0.2833 data_time: 0.0236 memory: 8198 grad_norm: 5.5029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5897 loss: 1.5897 2022/08/03 03:51:58 - mmengine - INFO - Epoch(train) [90][680/1879] lr: 1.0000e-02 eta: 1 day, 0:45:45 time: 0.2811 data_time: 0.0228 memory: 8198 grad_norm: 5.5595 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4648 loss: 1.4648 2022/08/03 03:52:04 - mmengine - INFO - Epoch(train) [90][700/1879] lr: 1.0000e-02 eta: 1 day, 0:45:40 time: 0.2893 data_time: 0.0188 memory: 8198 grad_norm: 5.3277 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/08/03 03:52:10 - mmengine - INFO - Epoch(train) [90][720/1879] lr: 1.0000e-02 eta: 1 day, 0:45:34 time: 0.2849 data_time: 0.0240 memory: 8198 grad_norm: 5.5663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8172 loss: 1.8172 2022/08/03 03:52:15 - mmengine - INFO - Epoch(train) [90][740/1879] lr: 1.0000e-02 eta: 1 day, 0:45:28 time: 0.2837 data_time: 0.0241 memory: 8198 grad_norm: 5.3125 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5101 loss: 1.5101 2022/08/03 03:52:21 - mmengine - INFO - Epoch(train) [90][760/1879] lr: 1.0000e-02 eta: 1 day, 0:45:23 time: 0.2899 data_time: 0.0218 memory: 8198 grad_norm: 5.6022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7452 loss: 1.7452 2022/08/03 03:52:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:52:27 - mmengine - INFO - Epoch(train) [90][780/1879] lr: 1.0000e-02 eta: 1 day, 0:45:17 time: 0.2807 data_time: 0.0221 memory: 8198 grad_norm: 5.4519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8150 loss: 1.8150 2022/08/03 03:52:33 - mmengine - INFO - Epoch(train) [90][800/1879] lr: 1.0000e-02 eta: 1 day, 0:45:11 time: 0.2833 data_time: 0.0241 memory: 8198 grad_norm: 5.5825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7402 loss: 1.7402 2022/08/03 03:52:38 - mmengine - INFO - Epoch(train) [90][820/1879] lr: 1.0000e-02 eta: 1 day, 0:45:05 time: 0.2839 data_time: 0.0223 memory: 8198 grad_norm: 5.3554 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8049 loss: 1.8049 2022/08/03 03:52:44 - mmengine - INFO - Epoch(train) [90][840/1879] lr: 1.0000e-02 eta: 1 day, 0:45:00 time: 0.2918 data_time: 0.0237 memory: 8198 grad_norm: 5.3581 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7317 loss: 1.7317 2022/08/03 03:52:50 - mmengine - INFO - Epoch(train) [90][860/1879] lr: 1.0000e-02 eta: 1 day, 0:44:54 time: 0.2799 data_time: 0.0229 memory: 8198 grad_norm: 5.3997 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7109 loss: 1.7109 2022/08/03 03:52:55 - mmengine - INFO - Epoch(train) [90][880/1879] lr: 1.0000e-02 eta: 1 day, 0:44:48 time: 0.2850 data_time: 0.0264 memory: 8198 grad_norm: 5.3732 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5699 loss: 1.5699 2022/08/03 03:53:01 - mmengine - INFO - Epoch(train) [90][900/1879] lr: 1.0000e-02 eta: 1 day, 0:44:43 time: 0.2862 data_time: 0.0247 memory: 8198 grad_norm: 5.4499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5873 loss: 1.5873 2022/08/03 03:53:07 - mmengine - INFO - Epoch(train) [90][920/1879] lr: 1.0000e-02 eta: 1 day, 0:44:37 time: 0.2847 data_time: 0.0223 memory: 8198 grad_norm: 5.5221 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6919 loss: 1.6919 2022/08/03 03:53:13 - mmengine - INFO - Epoch(train) [90][940/1879] lr: 1.0000e-02 eta: 1 day, 0:44:31 time: 0.2851 data_time: 0.0231 memory: 8198 grad_norm: 5.3664 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5710 loss: 1.5710 2022/08/03 03:53:18 - mmengine - INFO - Epoch(train) [90][960/1879] lr: 1.0000e-02 eta: 1 day, 0:44:26 time: 0.2837 data_time: 0.0257 memory: 8198 grad_norm: 5.3097 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8179 loss: 1.8179 2022/08/03 03:53:24 - mmengine - INFO - Epoch(train) [90][980/1879] lr: 1.0000e-02 eta: 1 day, 0:44:20 time: 0.2850 data_time: 0.0206 memory: 8198 grad_norm: 5.3786 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5285 loss: 1.5285 2022/08/03 03:53:30 - mmengine - INFO - Epoch(train) [90][1000/1879] lr: 1.0000e-02 eta: 1 day, 0:44:14 time: 0.2875 data_time: 0.0248 memory: 8198 grad_norm: 5.3553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6830 loss: 1.6830 2022/08/03 03:53:35 - mmengine - INFO - Epoch(train) [90][1020/1879] lr: 1.0000e-02 eta: 1 day, 0:44:09 time: 0.2858 data_time: 0.0300 memory: 8198 grad_norm: 5.4366 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6969 loss: 1.6969 2022/08/03 03:53:41 - mmengine - INFO - Epoch(train) [90][1040/1879] lr: 1.0000e-02 eta: 1 day, 0:44:03 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 5.4196 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9015 loss: 1.9015 2022/08/03 03:53:47 - mmengine - INFO - Epoch(train) [90][1060/1879] lr: 1.0000e-02 eta: 1 day, 0:43:57 time: 0.2854 data_time: 0.0210 memory: 8198 grad_norm: 5.4806 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7536 loss: 1.7536 2022/08/03 03:53:53 - mmengine - INFO - Epoch(train) [90][1080/1879] lr: 1.0000e-02 eta: 1 day, 0:43:52 time: 0.2836 data_time: 0.0242 memory: 8198 grad_norm: 5.5025 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5313 loss: 1.5313 2022/08/03 03:53:58 - mmengine - INFO - Epoch(train) [90][1100/1879] lr: 1.0000e-02 eta: 1 day, 0:43:46 time: 0.2848 data_time: 0.0214 memory: 8198 grad_norm: 5.3194 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6556 loss: 1.6556 2022/08/03 03:54:04 - mmengine - INFO - Epoch(train) [90][1120/1879] lr: 1.0000e-02 eta: 1 day, 0:43:40 time: 0.2829 data_time: 0.0253 memory: 8198 grad_norm: 5.5862 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4650 loss: 1.4650 2022/08/03 03:54:10 - mmengine - INFO - Epoch(train) [90][1140/1879] lr: 1.0000e-02 eta: 1 day, 0:43:34 time: 0.2822 data_time: 0.0229 memory: 8198 grad_norm: 5.4825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6702 loss: 1.6702 2022/08/03 03:54:16 - mmengine - INFO - Epoch(train) [90][1160/1879] lr: 1.0000e-02 eta: 1 day, 0:43:29 time: 0.2947 data_time: 0.0218 memory: 8198 grad_norm: 5.4136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8299 loss: 1.8299 2022/08/03 03:54:21 - mmengine - INFO - Epoch(train) [90][1180/1879] lr: 1.0000e-02 eta: 1 day, 0:43:23 time: 0.2814 data_time: 0.0216 memory: 8198 grad_norm: 5.2622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6783 loss: 1.6783 2022/08/03 03:54:27 - mmengine - INFO - Epoch(train) [90][1200/1879] lr: 1.0000e-02 eta: 1 day, 0:43:18 time: 0.2835 data_time: 0.0266 memory: 8198 grad_norm: 5.4492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6102 loss: 1.6102 2022/08/03 03:54:33 - mmengine - INFO - Epoch(train) [90][1220/1879] lr: 1.0000e-02 eta: 1 day, 0:43:12 time: 0.2821 data_time: 0.0195 memory: 8198 grad_norm: 5.5102 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8984 loss: 1.8984 2022/08/03 03:54:38 - mmengine - INFO - Epoch(train) [90][1240/1879] lr: 1.0000e-02 eta: 1 day, 0:43:06 time: 0.2806 data_time: 0.0239 memory: 8198 grad_norm: 5.4156 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9820 loss: 1.9820 2022/08/03 03:54:44 - mmengine - INFO - Epoch(train) [90][1260/1879] lr: 1.0000e-02 eta: 1 day, 0:43:00 time: 0.2816 data_time: 0.0216 memory: 8198 grad_norm: 5.3645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6634 loss: 1.6634 2022/08/03 03:54:50 - mmengine - INFO - Epoch(train) [90][1280/1879] lr: 1.0000e-02 eta: 1 day, 0:42:54 time: 0.2846 data_time: 0.0206 memory: 8198 grad_norm: 5.3543 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7119 loss: 1.7119 2022/08/03 03:54:55 - mmengine - INFO - Epoch(train) [90][1300/1879] lr: 1.0000e-02 eta: 1 day, 0:42:49 time: 0.2866 data_time: 0.0230 memory: 8198 grad_norm: 5.4124 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5882 loss: 1.5882 2022/08/03 03:55:01 - mmengine - INFO - Epoch(train) [90][1320/1879] lr: 1.0000e-02 eta: 1 day, 0:42:43 time: 0.2862 data_time: 0.0187 memory: 8198 grad_norm: 5.3298 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7224 loss: 1.7224 2022/08/03 03:55:07 - mmengine - INFO - Epoch(train) [90][1340/1879] lr: 1.0000e-02 eta: 1 day, 0:42:37 time: 0.2835 data_time: 0.0237 memory: 8198 grad_norm: 5.4150 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6508 loss: 1.6508 2022/08/03 03:55:12 - mmengine - INFO - Epoch(train) [90][1360/1879] lr: 1.0000e-02 eta: 1 day, 0:42:32 time: 0.2878 data_time: 0.0241 memory: 8198 grad_norm: 5.6404 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7420 loss: 1.7420 2022/08/03 03:55:18 - mmengine - INFO - Epoch(train) [90][1380/1879] lr: 1.0000e-02 eta: 1 day, 0:42:26 time: 0.2798 data_time: 0.0221 memory: 8198 grad_norm: 5.4792 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9794 loss: 1.9794 2022/08/03 03:55:24 - mmengine - INFO - Epoch(train) [90][1400/1879] lr: 1.0000e-02 eta: 1 day, 0:42:20 time: 0.2859 data_time: 0.0225 memory: 8198 grad_norm: 5.2378 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6328 loss: 1.6328 2022/08/03 03:55:30 - mmengine - INFO - Epoch(train) [90][1420/1879] lr: 1.0000e-02 eta: 1 day, 0:42:15 time: 0.2885 data_time: 0.0370 memory: 8198 grad_norm: 5.4773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5609 loss: 1.5609 2022/08/03 03:55:35 - mmengine - INFO - Epoch(train) [90][1440/1879] lr: 1.0000e-02 eta: 1 day, 0:42:09 time: 0.2851 data_time: 0.0184 memory: 8198 grad_norm: 5.5421 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7365 loss: 1.7365 2022/08/03 03:55:41 - mmengine - INFO - Epoch(train) [90][1460/1879] lr: 1.0000e-02 eta: 1 day, 0:42:03 time: 0.2867 data_time: 0.0212 memory: 8198 grad_norm: 5.4989 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9326 loss: 1.9326 2022/08/03 03:55:47 - mmengine - INFO - Epoch(train) [90][1480/1879] lr: 1.0000e-02 eta: 1 day, 0:41:58 time: 0.2813 data_time: 0.0257 memory: 8198 grad_norm: 5.4461 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6638 loss: 1.6638 2022/08/03 03:55:53 - mmengine - INFO - Epoch(train) [90][1500/1879] lr: 1.0000e-02 eta: 1 day, 0:41:52 time: 0.2924 data_time: 0.0306 memory: 8198 grad_norm: 5.4134 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5282 loss: 1.5282 2022/08/03 03:55:58 - mmengine - INFO - Epoch(train) [90][1520/1879] lr: 1.0000e-02 eta: 1 day, 0:41:46 time: 0.2831 data_time: 0.0239 memory: 8198 grad_norm: 5.2780 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5064 loss: 1.5064 2022/08/03 03:56:04 - mmengine - INFO - Epoch(train) [90][1540/1879] lr: 1.0000e-02 eta: 1 day, 0:41:41 time: 0.2820 data_time: 0.0220 memory: 8198 grad_norm: 5.3215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6497 loss: 1.6497 2022/08/03 03:56:10 - mmengine - INFO - Epoch(train) [90][1560/1879] lr: 1.0000e-02 eta: 1 day, 0:41:35 time: 0.2893 data_time: 0.0303 memory: 8198 grad_norm: 5.3176 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8219 loss: 1.8219 2022/08/03 03:56:15 - mmengine - INFO - Epoch(train) [90][1580/1879] lr: 1.0000e-02 eta: 1 day, 0:41:29 time: 0.2826 data_time: 0.0256 memory: 8198 grad_norm: 5.3614 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5382 loss: 1.5382 2022/08/03 03:56:21 - mmengine - INFO - Epoch(train) [90][1600/1879] lr: 1.0000e-02 eta: 1 day, 0:41:24 time: 0.2819 data_time: 0.0248 memory: 8198 grad_norm: 5.3209 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7096 loss: 1.7096 2022/08/03 03:56:27 - mmengine - INFO - Epoch(train) [90][1620/1879] lr: 1.0000e-02 eta: 1 day, 0:41:18 time: 0.2838 data_time: 0.0238 memory: 8198 grad_norm: 5.2742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6774 loss: 1.6774 2022/08/03 03:56:32 - mmengine - INFO - Epoch(train) [90][1640/1879] lr: 1.0000e-02 eta: 1 day, 0:41:12 time: 0.2859 data_time: 0.0222 memory: 8198 grad_norm: 5.2478 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5692 loss: 1.5692 2022/08/03 03:56:38 - mmengine - INFO - Epoch(train) [90][1660/1879] lr: 1.0000e-02 eta: 1 day, 0:41:06 time: 0.2818 data_time: 0.0248 memory: 8198 grad_norm: 5.4762 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5857 loss: 1.5857 2022/08/03 03:56:44 - mmengine - INFO - Epoch(train) [90][1680/1879] lr: 1.0000e-02 eta: 1 day, 0:41:01 time: 0.2864 data_time: 0.0213 memory: 8198 grad_norm: 5.5523 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8322 loss: 1.8322 2022/08/03 03:56:50 - mmengine - INFO - Epoch(train) [90][1700/1879] lr: 1.0000e-02 eta: 1 day, 0:40:55 time: 0.2812 data_time: 0.0206 memory: 8198 grad_norm: 5.4202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7366 loss: 1.7366 2022/08/03 03:56:55 - mmengine - INFO - Epoch(train) [90][1720/1879] lr: 1.0000e-02 eta: 1 day, 0:40:49 time: 0.2883 data_time: 0.0288 memory: 8198 grad_norm: 5.2810 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6194 loss: 1.6194 2022/08/03 03:57:01 - mmengine - INFO - Epoch(train) [90][1740/1879] lr: 1.0000e-02 eta: 1 day, 0:40:44 time: 0.2824 data_time: 0.0222 memory: 8198 grad_norm: 5.5353 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7303 loss: 1.7303 2022/08/03 03:57:07 - mmengine - INFO - Epoch(train) [90][1760/1879] lr: 1.0000e-02 eta: 1 day, 0:40:38 time: 0.2838 data_time: 0.0237 memory: 8198 grad_norm: 5.4771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6764 loss: 1.6764 2022/08/03 03:57:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:57:12 - mmengine - INFO - Epoch(train) [90][1780/1879] lr: 1.0000e-02 eta: 1 day, 0:40:32 time: 0.2814 data_time: 0.0221 memory: 8198 grad_norm: 5.5207 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6403 loss: 1.6403 2022/08/03 03:57:18 - mmengine - INFO - Epoch(train) [90][1800/1879] lr: 1.0000e-02 eta: 1 day, 0:40:26 time: 0.2820 data_time: 0.0228 memory: 8198 grad_norm: 5.6671 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4495 loss: 1.4495 2022/08/03 03:57:24 - mmengine - INFO - Epoch(train) [90][1820/1879] lr: 1.0000e-02 eta: 1 day, 0:40:21 time: 0.2848 data_time: 0.0193 memory: 8198 grad_norm: 5.4936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4744 loss: 1.4744 2022/08/03 03:57:29 - mmengine - INFO - Epoch(train) [90][1840/1879] lr: 1.0000e-02 eta: 1 day, 0:40:15 time: 0.2861 data_time: 0.0215 memory: 8198 grad_norm: 5.6619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8289 loss: 1.8289 2022/08/03 03:57:35 - mmengine - INFO - Epoch(train) [90][1860/1879] lr: 1.0000e-02 eta: 1 day, 0:40:09 time: 0.2836 data_time: 0.0237 memory: 8198 grad_norm: 5.3489 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.6504 loss: 1.6504 2022/08/03 03:57:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 03:57:40 - mmengine - INFO - Epoch(train) [90][1879/1879] lr: 1.0000e-02 eta: 1 day, 0:40:09 time: 0.2570 data_time: 0.0165 memory: 8198 grad_norm: 5.5484 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4700 loss: 1.4700 2022/08/03 03:57:46 - mmengine - INFO - Epoch(val) [90][20/155] eta: 0:00:43 time: 0.3232 data_time: 0.2347 memory: 1514 2022/08/03 03:57:52 - mmengine - INFO - Epoch(val) [90][40/155] eta: 0:00:29 time: 0.2552 data_time: 0.1693 memory: 1514 2022/08/03 03:57:57 - mmengine - INFO - Epoch(val) [90][60/155] eta: 0:00:26 time: 0.2837 data_time: 0.1970 memory: 1514 2022/08/03 03:58:02 - mmengine - INFO - Epoch(val) [90][80/155] eta: 0:00:18 time: 0.2401 data_time: 0.1527 memory: 1514 2022/08/03 03:58:08 - mmengine - INFO - Epoch(val) [90][100/155] eta: 0:00:17 time: 0.3175 data_time: 0.2331 memory: 1514 2022/08/03 03:58:13 - mmengine - INFO - Epoch(val) [90][120/155] eta: 0:00:08 time: 0.2299 data_time: 0.1457 memory: 1514 2022/08/03 03:58:19 - mmengine - INFO - Epoch(val) [90][140/155] eta: 0:00:04 time: 0.3129 data_time: 0.2260 memory: 1514 2022/08/03 03:58:24 - mmengine - INFO - Epoch(val) [90][155/155] acc/top1: 0.6304 acc/top5: 0.8435 acc/mean1: 0.6303 2022/08/03 03:58:32 - mmengine - INFO - Epoch(train) [91][20/1879] lr: 1.0000e-02 eta: 1 day, 0:39:52 time: 0.4006 data_time: 0.1142 memory: 8198 grad_norm: 5.4663 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6141 loss: 1.6141 2022/08/03 03:58:38 - mmengine - INFO - Epoch(train) [91][40/1879] lr: 1.0000e-02 eta: 1 day, 0:39:47 time: 0.2845 data_time: 0.0163 memory: 8198 grad_norm: 5.4973 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7711 loss: 1.7711 2022/08/03 03:58:44 - mmengine - INFO - Epoch(train) [91][60/1879] lr: 1.0000e-02 eta: 1 day, 0:39:41 time: 0.2979 data_time: 0.0240 memory: 8198 grad_norm: 5.4153 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4701 loss: 1.4701 2022/08/03 03:58:49 - mmengine - INFO - Epoch(train) [91][80/1879] lr: 1.0000e-02 eta: 1 day, 0:39:36 time: 0.2816 data_time: 0.0217 memory: 8198 grad_norm: 5.2434 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5244 loss: 1.5244 2022/08/03 03:58:55 - mmengine - INFO - Epoch(train) [91][100/1879] lr: 1.0000e-02 eta: 1 day, 0:39:30 time: 0.2829 data_time: 0.0184 memory: 8198 grad_norm: 5.3849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4746 loss: 1.4746 2022/08/03 03:59:01 - mmengine - INFO - Epoch(train) [91][120/1879] lr: 1.0000e-02 eta: 1 day, 0:39:24 time: 0.2840 data_time: 0.0245 memory: 8198 grad_norm: 5.3264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5358 loss: 1.5358 2022/08/03 03:59:07 - mmengine - INFO - Epoch(train) [91][140/1879] lr: 1.0000e-02 eta: 1 day, 0:39:19 time: 0.2934 data_time: 0.0230 memory: 8198 grad_norm: 5.4183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7263 loss: 1.7263 2022/08/03 03:59:12 - mmengine - INFO - Epoch(train) [91][160/1879] lr: 1.0000e-02 eta: 1 day, 0:39:13 time: 0.2892 data_time: 0.0299 memory: 8198 grad_norm: 5.3829 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5845 loss: 1.5845 2022/08/03 03:59:18 - mmengine - INFO - Epoch(train) [91][180/1879] lr: 1.0000e-02 eta: 1 day, 0:39:07 time: 0.2814 data_time: 0.0223 memory: 8198 grad_norm: 5.4051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5922 loss: 1.5922 2022/08/03 03:59:24 - mmengine - INFO - Epoch(train) [91][200/1879] lr: 1.0000e-02 eta: 1 day, 0:39:02 time: 0.2822 data_time: 0.0223 memory: 8198 grad_norm: 5.4791 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5493 loss: 1.5493 2022/08/03 03:59:29 - mmengine - INFO - Epoch(train) [91][220/1879] lr: 1.0000e-02 eta: 1 day, 0:38:56 time: 0.2815 data_time: 0.0235 memory: 8198 grad_norm: 5.5114 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5984 loss: 1.5984 2022/08/03 03:59:35 - mmengine - INFO - Epoch(train) [91][240/1879] lr: 1.0000e-02 eta: 1 day, 0:38:50 time: 0.2862 data_time: 0.0272 memory: 8198 grad_norm: 5.3609 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6332 loss: 1.6332 2022/08/03 03:59:41 - mmengine - INFO - Epoch(train) [91][260/1879] lr: 1.0000e-02 eta: 1 day, 0:38:44 time: 0.2832 data_time: 0.0206 memory: 8198 grad_norm: 5.4577 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6302 loss: 1.6302 2022/08/03 03:59:47 - mmengine - INFO - Epoch(train) [91][280/1879] lr: 1.0000e-02 eta: 1 day, 0:38:40 time: 0.3045 data_time: 0.0228 memory: 8198 grad_norm: 5.4168 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6758 loss: 1.6758 2022/08/03 03:59:53 - mmengine - INFO - Epoch(train) [91][300/1879] lr: 1.0000e-02 eta: 1 day, 0:38:34 time: 0.2896 data_time: 0.0291 memory: 8198 grad_norm: 5.4640 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7557 loss: 1.7557 2022/08/03 03:59:58 - mmengine - INFO - Epoch(train) [91][320/1879] lr: 1.0000e-02 eta: 1 day, 0:38:28 time: 0.2811 data_time: 0.0178 memory: 8198 grad_norm: 5.3727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6340 loss: 1.6340 2022/08/03 04:00:04 - mmengine - INFO - Epoch(train) [91][340/1879] lr: 1.0000e-02 eta: 1 day, 0:38:23 time: 0.2876 data_time: 0.0232 memory: 8198 grad_norm: 5.4876 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5821 loss: 1.5821 2022/08/03 04:00:10 - mmengine - INFO - Epoch(train) [91][360/1879] lr: 1.0000e-02 eta: 1 day, 0:38:17 time: 0.2814 data_time: 0.0182 memory: 8198 grad_norm: 5.5038 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8166 loss: 1.8166 2022/08/03 04:00:15 - mmengine - INFO - Epoch(train) [91][380/1879] lr: 1.0000e-02 eta: 1 day, 0:38:11 time: 0.2835 data_time: 0.0214 memory: 8198 grad_norm: 5.3988 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6409 loss: 1.6409 2022/08/03 04:00:21 - mmengine - INFO - Epoch(train) [91][400/1879] lr: 1.0000e-02 eta: 1 day, 0:38:05 time: 0.2830 data_time: 0.0246 memory: 8198 grad_norm: 5.4953 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6856 loss: 1.6856 2022/08/03 04:00:27 - mmengine - INFO - Epoch(train) [91][420/1879] lr: 1.0000e-02 eta: 1 day, 0:38:00 time: 0.2889 data_time: 0.0232 memory: 8198 grad_norm: 5.4852 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6346 loss: 1.6346 2022/08/03 04:00:33 - mmengine - INFO - Epoch(train) [91][440/1879] lr: 1.0000e-02 eta: 1 day, 0:37:54 time: 0.2824 data_time: 0.0179 memory: 8198 grad_norm: 5.6445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7044 loss: 1.7044 2022/08/03 04:00:38 - mmengine - INFO - Epoch(train) [91][460/1879] lr: 1.0000e-02 eta: 1 day, 0:37:48 time: 0.2815 data_time: 0.0230 memory: 8198 grad_norm: 5.5277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5696 loss: 1.5696 2022/08/03 04:00:44 - mmengine - INFO - Epoch(train) [91][480/1879] lr: 1.0000e-02 eta: 1 day, 0:37:43 time: 0.2860 data_time: 0.0229 memory: 8198 grad_norm: 5.4972 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/08/03 04:00:50 - mmengine - INFO - Epoch(train) [91][500/1879] lr: 1.0000e-02 eta: 1 day, 0:37:37 time: 0.2848 data_time: 0.0239 memory: 8198 grad_norm: 5.5127 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5642 loss: 1.5642 2022/08/03 04:00:55 - mmengine - INFO - Epoch(train) [91][520/1879] lr: 1.0000e-02 eta: 1 day, 0:37:31 time: 0.2830 data_time: 0.0199 memory: 8198 grad_norm: 5.5159 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6229 loss: 1.6229 2022/08/03 04:01:01 - mmengine - INFO - Epoch(train) [91][540/1879] lr: 1.0000e-02 eta: 1 day, 0:37:25 time: 0.2860 data_time: 0.0256 memory: 8198 grad_norm: 5.4930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5917 loss: 1.5917 2022/08/03 04:01:07 - mmengine - INFO - Epoch(train) [91][560/1879] lr: 1.0000e-02 eta: 1 day, 0:37:20 time: 0.2868 data_time: 0.0224 memory: 8198 grad_norm: 5.5910 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7375 loss: 1.7375 2022/08/03 04:01:13 - mmengine - INFO - Epoch(train) [91][580/1879] lr: 1.0000e-02 eta: 1 day, 0:37:14 time: 0.2847 data_time: 0.0221 memory: 8198 grad_norm: 5.2436 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4930 loss: 1.4930 2022/08/03 04:01:18 - mmengine - INFO - Epoch(train) [91][600/1879] lr: 1.0000e-02 eta: 1 day, 0:37:09 time: 0.2883 data_time: 0.0189 memory: 8198 grad_norm: 5.4589 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8539 loss: 1.8539 2022/08/03 04:01:24 - mmengine - INFO - Epoch(train) [91][620/1879] lr: 1.0000e-02 eta: 1 day, 0:37:03 time: 0.2875 data_time: 0.0212 memory: 8198 grad_norm: 5.5172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6724 loss: 1.6724 2022/08/03 04:01:30 - mmengine - INFO - Epoch(train) [91][640/1879] lr: 1.0000e-02 eta: 1 day, 0:36:57 time: 0.2813 data_time: 0.0213 memory: 8198 grad_norm: 5.4195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4703 loss: 1.4703 2022/08/03 04:01:35 - mmengine - INFO - Epoch(train) [91][660/1879] lr: 1.0000e-02 eta: 1 day, 0:36:51 time: 0.2834 data_time: 0.0280 memory: 8198 grad_norm: 5.4383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7734 loss: 1.7734 2022/08/03 04:01:41 - mmengine - INFO - Epoch(train) [91][680/1879] lr: 1.0000e-02 eta: 1 day, 0:36:46 time: 0.2832 data_time: 0.0259 memory: 8198 grad_norm: 5.4277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7756 loss: 1.7756 2022/08/03 04:01:47 - mmengine - INFO - Epoch(train) [91][700/1879] lr: 1.0000e-02 eta: 1 day, 0:36:40 time: 0.2863 data_time: 0.0219 memory: 8198 grad_norm: 5.4021 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4950 loss: 1.4950 2022/08/03 04:01:52 - mmengine - INFO - Epoch(train) [91][720/1879] lr: 1.0000e-02 eta: 1 day, 0:36:34 time: 0.2823 data_time: 0.0207 memory: 8198 grad_norm: 5.2482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7329 loss: 1.7329 2022/08/03 04:01:58 - mmengine - INFO - Epoch(train) [91][740/1879] lr: 1.0000e-02 eta: 1 day, 0:36:28 time: 0.2833 data_time: 0.0259 memory: 8198 grad_norm: 5.3849 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5792 loss: 1.5792 2022/08/03 04:02:04 - mmengine - INFO - Epoch(train) [91][760/1879] lr: 1.0000e-02 eta: 1 day, 0:36:23 time: 0.2838 data_time: 0.0222 memory: 8198 grad_norm: 5.3134 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5493 loss: 1.5493 2022/08/03 04:02:10 - mmengine - INFO - Epoch(train) [91][780/1879] lr: 1.0000e-02 eta: 1 day, 0:36:17 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 5.4668 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6201 loss: 1.6201 2022/08/03 04:02:15 - mmengine - INFO - Epoch(train) [91][800/1879] lr: 1.0000e-02 eta: 1 day, 0:36:11 time: 0.2864 data_time: 0.0267 memory: 8198 grad_norm: 5.4871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7297 loss: 1.7297 2022/08/03 04:02:21 - mmengine - INFO - Epoch(train) [91][820/1879] lr: 1.0000e-02 eta: 1 day, 0:36:06 time: 0.2838 data_time: 0.0250 memory: 8198 grad_norm: 5.4178 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6619 loss: 1.6619 2022/08/03 04:02:27 - mmengine - INFO - Epoch(train) [91][840/1879] lr: 1.0000e-02 eta: 1 day, 0:36:00 time: 0.2817 data_time: 0.0201 memory: 8198 grad_norm: 5.3244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6902 loss: 1.6902 2022/08/03 04:02:32 - mmengine - INFO - Epoch(train) [91][860/1879] lr: 1.0000e-02 eta: 1 day, 0:35:54 time: 0.2859 data_time: 0.0241 memory: 8198 grad_norm: 5.3438 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6055 loss: 1.6055 2022/08/03 04:02:38 - mmengine - INFO - Epoch(train) [91][880/1879] lr: 1.0000e-02 eta: 1 day, 0:35:49 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 5.3670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4954 loss: 1.4954 2022/08/03 04:02:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:02:44 - mmengine - INFO - Epoch(train) [91][900/1879] lr: 1.0000e-02 eta: 1 day, 0:35:43 time: 0.2883 data_time: 0.0219 memory: 8198 grad_norm: 5.5522 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9592 loss: 1.9592 2022/08/03 04:02:50 - mmengine - INFO - Epoch(train) [91][920/1879] lr: 1.0000e-02 eta: 1 day, 0:35:37 time: 0.2869 data_time: 0.0195 memory: 8198 grad_norm: 5.2894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6018 loss: 1.6018 2022/08/03 04:02:55 - mmengine - INFO - Epoch(train) [91][940/1879] lr: 1.0000e-02 eta: 1 day, 0:35:32 time: 0.2848 data_time: 0.0210 memory: 8198 grad_norm: 5.4602 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3973 loss: 1.3973 2022/08/03 04:03:01 - mmengine - INFO - Epoch(train) [91][960/1879] lr: 1.0000e-02 eta: 1 day, 0:35:26 time: 0.2824 data_time: 0.0244 memory: 8198 grad_norm: 5.4220 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7050 loss: 1.7050 2022/08/03 04:03:07 - mmengine - INFO - Epoch(train) [91][980/1879] lr: 1.0000e-02 eta: 1 day, 0:35:20 time: 0.2848 data_time: 0.0262 memory: 8198 grad_norm: 5.3654 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6905 loss: 1.6905 2022/08/03 04:03:12 - mmengine - INFO - Epoch(train) [91][1000/1879] lr: 1.0000e-02 eta: 1 day, 0:35:14 time: 0.2808 data_time: 0.0193 memory: 8198 grad_norm: 5.4925 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7768 loss: 1.7768 2022/08/03 04:03:18 - mmengine - INFO - Epoch(train) [91][1020/1879] lr: 1.0000e-02 eta: 1 day, 0:35:09 time: 0.2838 data_time: 0.0248 memory: 8198 grad_norm: 5.3407 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6226 loss: 1.6226 2022/08/03 04:03:24 - mmengine - INFO - Epoch(train) [91][1040/1879] lr: 1.0000e-02 eta: 1 day, 0:35:03 time: 0.2885 data_time: 0.0230 memory: 8198 grad_norm: 5.5218 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7443 loss: 1.7443 2022/08/03 04:03:29 - mmengine - INFO - Epoch(train) [91][1060/1879] lr: 1.0000e-02 eta: 1 day, 0:34:57 time: 0.2792 data_time: 0.0216 memory: 8198 grad_norm: 5.5540 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7598 loss: 1.7598 2022/08/03 04:03:35 - mmengine - INFO - Epoch(train) [91][1080/1879] lr: 1.0000e-02 eta: 1 day, 0:34:52 time: 0.2881 data_time: 0.0259 memory: 8198 grad_norm: 5.4706 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7362 loss: 1.7362 2022/08/03 04:03:41 - mmengine - INFO - Epoch(train) [91][1100/1879] lr: 1.0000e-02 eta: 1 day, 0:34:46 time: 0.2821 data_time: 0.0207 memory: 8198 grad_norm: 5.3576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7184 loss: 1.7184 2022/08/03 04:03:47 - mmengine - INFO - Epoch(train) [91][1120/1879] lr: 1.0000e-02 eta: 1 day, 0:34:40 time: 0.2874 data_time: 0.0242 memory: 8198 grad_norm: 5.3778 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5597 loss: 1.5597 2022/08/03 04:03:53 - mmengine - INFO - Epoch(train) [91][1140/1879] lr: 1.0000e-02 eta: 1 day, 0:34:35 time: 0.2996 data_time: 0.0254 memory: 8198 grad_norm: 5.5084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5937 loss: 1.5937 2022/08/03 04:03:58 - mmengine - INFO - Epoch(train) [91][1160/1879] lr: 1.0000e-02 eta: 1 day, 0:34:29 time: 0.2834 data_time: 0.0210 memory: 8198 grad_norm: 5.4715 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7957 loss: 1.7957 2022/08/03 04:04:04 - mmengine - INFO - Epoch(train) [91][1180/1879] lr: 1.0000e-02 eta: 1 day, 0:34:24 time: 0.2943 data_time: 0.0421 memory: 8198 grad_norm: 5.4663 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6705 loss: 1.6705 2022/08/03 04:04:10 - mmengine - INFO - Epoch(train) [91][1200/1879] lr: 1.0000e-02 eta: 1 day, 0:34:18 time: 0.2845 data_time: 0.0228 memory: 8198 grad_norm: 5.3687 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4641 loss: 1.4641 2022/08/03 04:04:16 - mmengine - INFO - Epoch(train) [91][1220/1879] lr: 1.0000e-02 eta: 1 day, 0:34:13 time: 0.2842 data_time: 0.0251 memory: 8198 grad_norm: 5.4542 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8234 loss: 1.8234 2022/08/03 04:04:21 - mmengine - INFO - Epoch(train) [91][1240/1879] lr: 1.0000e-02 eta: 1 day, 0:34:07 time: 0.2857 data_time: 0.0190 memory: 8198 grad_norm: 5.4385 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5788 loss: 1.5788 2022/08/03 04:04:27 - mmengine - INFO - Epoch(train) [91][1260/1879] lr: 1.0000e-02 eta: 1 day, 0:34:02 time: 0.2964 data_time: 0.0241 memory: 8198 grad_norm: 5.3793 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7034 loss: 1.7034 2022/08/03 04:04:33 - mmengine - INFO - Epoch(train) [91][1280/1879] lr: 1.0000e-02 eta: 1 day, 0:33:56 time: 0.2827 data_time: 0.0274 memory: 8198 grad_norm: 5.7454 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8204 loss: 1.8204 2022/08/03 04:04:39 - mmengine - INFO - Epoch(train) [91][1300/1879] lr: 1.0000e-02 eta: 1 day, 0:33:50 time: 0.2816 data_time: 0.0211 memory: 8198 grad_norm: 5.4615 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7003 loss: 1.7003 2022/08/03 04:04:44 - mmengine - INFO - Epoch(train) [91][1320/1879] lr: 1.0000e-02 eta: 1 day, 0:33:44 time: 0.2826 data_time: 0.0229 memory: 8198 grad_norm: 5.3836 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7485 loss: 1.7485 2022/08/03 04:04:50 - mmengine - INFO - Epoch(train) [91][1340/1879] lr: 1.0000e-02 eta: 1 day, 0:33:39 time: 0.2819 data_time: 0.0232 memory: 8198 grad_norm: 5.3494 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5814 loss: 1.5814 2022/08/03 04:04:56 - mmengine - INFO - Epoch(train) [91][1360/1879] lr: 1.0000e-02 eta: 1 day, 0:33:33 time: 0.2937 data_time: 0.0191 memory: 8198 grad_norm: 5.4836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7238 loss: 1.7238 2022/08/03 04:05:02 - mmengine - INFO - Epoch(train) [91][1380/1879] lr: 1.0000e-02 eta: 1 day, 0:33:27 time: 0.2830 data_time: 0.0227 memory: 8198 grad_norm: 5.4524 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7051 loss: 1.7051 2022/08/03 04:05:07 - mmengine - INFO - Epoch(train) [91][1400/1879] lr: 1.0000e-02 eta: 1 day, 0:33:22 time: 0.2807 data_time: 0.0267 memory: 8198 grad_norm: 5.6023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9651 loss: 1.9651 2022/08/03 04:05:13 - mmengine - INFO - Epoch(train) [91][1420/1879] lr: 1.0000e-02 eta: 1 day, 0:33:16 time: 0.2887 data_time: 0.0213 memory: 8198 grad_norm: 5.3974 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6350 loss: 1.6350 2022/08/03 04:05:19 - mmengine - INFO - Epoch(train) [91][1440/1879] lr: 1.0000e-02 eta: 1 day, 0:33:10 time: 0.2836 data_time: 0.0186 memory: 8198 grad_norm: 5.3388 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5524 loss: 1.5524 2022/08/03 04:05:24 - mmengine - INFO - Epoch(train) [91][1460/1879] lr: 1.0000e-02 eta: 1 day, 0:33:05 time: 0.2861 data_time: 0.0211 memory: 8198 grad_norm: 5.4222 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4909 loss: 1.4909 2022/08/03 04:05:30 - mmengine - INFO - Epoch(train) [91][1480/1879] lr: 1.0000e-02 eta: 1 day, 0:32:59 time: 0.2849 data_time: 0.0243 memory: 8198 grad_norm: 5.5207 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6779 loss: 1.6779 2022/08/03 04:05:36 - mmengine - INFO - Epoch(train) [91][1500/1879] lr: 1.0000e-02 eta: 1 day, 0:32:53 time: 0.2885 data_time: 0.0263 memory: 8198 grad_norm: 5.4401 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5421 loss: 1.5421 2022/08/03 04:05:42 - mmengine - INFO - Epoch(train) [91][1520/1879] lr: 1.0000e-02 eta: 1 day, 0:32:48 time: 0.2829 data_time: 0.0204 memory: 8198 grad_norm: 5.4713 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8844 loss: 1.8844 2022/08/03 04:05:47 - mmengine - INFO - Epoch(train) [91][1540/1879] lr: 1.0000e-02 eta: 1 day, 0:32:42 time: 0.2833 data_time: 0.0223 memory: 8198 grad_norm: 5.5502 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7912 loss: 1.7912 2022/08/03 04:05:53 - mmengine - INFO - Epoch(train) [91][1560/1879] lr: 1.0000e-02 eta: 1 day, 0:32:36 time: 0.2849 data_time: 0.0254 memory: 8198 grad_norm: 5.5007 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6890 loss: 1.6890 2022/08/03 04:05:59 - mmengine - INFO - Epoch(train) [91][1580/1879] lr: 1.0000e-02 eta: 1 day, 0:32:30 time: 0.2811 data_time: 0.0258 memory: 8198 grad_norm: 5.3776 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5779 loss: 1.5779 2022/08/03 04:06:04 - mmengine - INFO - Epoch(train) [91][1600/1879] lr: 1.0000e-02 eta: 1 day, 0:32:25 time: 0.2840 data_time: 0.0208 memory: 8198 grad_norm: 5.4617 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4520 loss: 1.4520 2022/08/03 04:06:10 - mmengine - INFO - Epoch(train) [91][1620/1879] lr: 1.0000e-02 eta: 1 day, 0:32:19 time: 0.2804 data_time: 0.0244 memory: 8198 grad_norm: 5.5972 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5308 loss: 1.5308 2022/08/03 04:06:16 - mmengine - INFO - Epoch(train) [91][1640/1879] lr: 1.0000e-02 eta: 1 day, 0:32:13 time: 0.2889 data_time: 0.0220 memory: 8198 grad_norm: 5.5396 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8099 loss: 1.8099 2022/08/03 04:06:21 - mmengine - INFO - Epoch(train) [91][1660/1879] lr: 1.0000e-02 eta: 1 day, 0:32:08 time: 0.2832 data_time: 0.0239 memory: 8198 grad_norm: 5.5307 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/08/03 04:06:27 - mmengine - INFO - Epoch(train) [91][1680/1879] lr: 1.0000e-02 eta: 1 day, 0:32:02 time: 0.2814 data_time: 0.0223 memory: 8198 grad_norm: 5.5526 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8115 loss: 1.8115 2022/08/03 04:06:33 - mmengine - INFO - Epoch(train) [91][1700/1879] lr: 1.0000e-02 eta: 1 day, 0:31:56 time: 0.2836 data_time: 0.0227 memory: 8198 grad_norm: 5.3543 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7953 loss: 1.7953 2022/08/03 04:06:38 - mmengine - INFO - Epoch(train) [91][1720/1879] lr: 1.0000e-02 eta: 1 day, 0:31:50 time: 0.2802 data_time: 0.0211 memory: 8198 grad_norm: 5.4632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7858 loss: 1.7858 2022/08/03 04:06:44 - mmengine - INFO - Epoch(train) [91][1740/1879] lr: 1.0000e-02 eta: 1 day, 0:31:44 time: 0.2839 data_time: 0.0243 memory: 8198 grad_norm: 5.4105 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6869 loss: 1.6869 2022/08/03 04:06:50 - mmengine - INFO - Epoch(train) [91][1760/1879] lr: 1.0000e-02 eta: 1 day, 0:31:39 time: 0.2875 data_time: 0.0240 memory: 8198 grad_norm: 5.5933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4827 loss: 1.4827 2022/08/03 04:06:56 - mmengine - INFO - Epoch(train) [91][1780/1879] lr: 1.0000e-02 eta: 1 day, 0:31:33 time: 0.2876 data_time: 0.0224 memory: 8198 grad_norm: 5.4319 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6957 loss: 1.6957 2022/08/03 04:07:01 - mmengine - INFO - Epoch(train) [91][1800/1879] lr: 1.0000e-02 eta: 1 day, 0:31:28 time: 0.2862 data_time: 0.0217 memory: 8198 grad_norm: 5.5496 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6730 loss: 1.6730 2022/08/03 04:07:07 - mmengine - INFO - Epoch(train) [91][1820/1879] lr: 1.0000e-02 eta: 1 day, 0:31:22 time: 0.2831 data_time: 0.0207 memory: 8198 grad_norm: 5.5080 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7308 loss: 1.7308 2022/08/03 04:07:13 - mmengine - INFO - Epoch(train) [91][1840/1879] lr: 1.0000e-02 eta: 1 day, 0:31:17 time: 0.2981 data_time: 0.0246 memory: 8198 grad_norm: 5.4893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5230 loss: 1.5230 2022/08/03 04:07:19 - mmengine - INFO - Epoch(train) [91][1860/1879] lr: 1.0000e-02 eta: 1 day, 0:31:11 time: 0.2884 data_time: 0.0209 memory: 8198 grad_norm: 5.4397 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8654 loss: 1.8654 2022/08/03 04:07:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:07:24 - mmengine - INFO - Epoch(train) [91][1879/1879] lr: 1.0000e-02 eta: 1 day, 0:31:11 time: 0.2583 data_time: 0.0147 memory: 8198 grad_norm: 5.4660 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.7012 loss: 1.7012 2022/08/03 04:07:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:07:32 - mmengine - INFO - Epoch(train) [92][20/1879] lr: 1.0000e-02 eta: 1 day, 0:30:55 time: 0.4206 data_time: 0.1228 memory: 8198 grad_norm: 5.3611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3029 loss: 1.3029 2022/08/03 04:07:38 - mmengine - INFO - Epoch(train) [92][40/1879] lr: 1.0000e-02 eta: 1 day, 0:30:50 time: 0.2948 data_time: 0.0208 memory: 8198 grad_norm: 5.2993 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5532 loss: 1.5532 2022/08/03 04:07:44 - mmengine - INFO - Epoch(train) [92][60/1879] lr: 1.0000e-02 eta: 1 day, 0:30:44 time: 0.2893 data_time: 0.0233 memory: 8198 grad_norm: 5.3410 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5759 loss: 1.5759 2022/08/03 04:07:50 - mmengine - INFO - Epoch(train) [92][80/1879] lr: 1.0000e-02 eta: 1 day, 0:30:39 time: 0.2871 data_time: 0.0217 memory: 8198 grad_norm: 5.4111 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.8288 loss: 1.8288 2022/08/03 04:07:55 - mmengine - INFO - Epoch(train) [92][100/1879] lr: 1.0000e-02 eta: 1 day, 0:30:33 time: 0.2890 data_time: 0.0238 memory: 8198 grad_norm: 5.1754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5756 loss: 1.5756 2022/08/03 04:08:01 - mmengine - INFO - Epoch(train) [92][120/1879] lr: 1.0000e-02 eta: 1 day, 0:30:27 time: 0.2836 data_time: 0.0234 memory: 8198 grad_norm: 5.3310 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5879 loss: 1.5879 2022/08/03 04:08:07 - mmengine - INFO - Epoch(train) [92][140/1879] lr: 1.0000e-02 eta: 1 day, 0:30:22 time: 0.2885 data_time: 0.0197 memory: 8198 grad_norm: 5.4359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6034 loss: 1.6034 2022/08/03 04:08:13 - mmengine - INFO - Epoch(train) [92][160/1879] lr: 1.0000e-02 eta: 1 day, 0:30:16 time: 0.2844 data_time: 0.0213 memory: 8198 grad_norm: 5.4021 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4637 loss: 1.4637 2022/08/03 04:08:18 - mmengine - INFO - Epoch(train) [92][180/1879] lr: 1.0000e-02 eta: 1 day, 0:30:10 time: 0.2820 data_time: 0.0215 memory: 8198 grad_norm: 5.5873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5996 loss: 1.5996 2022/08/03 04:08:24 - mmengine - INFO - Epoch(train) [92][200/1879] lr: 1.0000e-02 eta: 1 day, 0:30:05 time: 0.2854 data_time: 0.0206 memory: 8198 grad_norm: 5.3575 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5901 loss: 1.5901 2022/08/03 04:08:30 - mmengine - INFO - Epoch(train) [92][220/1879] lr: 1.0000e-02 eta: 1 day, 0:29:59 time: 0.2846 data_time: 0.0253 memory: 8198 grad_norm: 5.3783 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6031 loss: 1.6031 2022/08/03 04:08:35 - mmengine - INFO - Epoch(train) [92][240/1879] lr: 1.0000e-02 eta: 1 day, 0:29:53 time: 0.2838 data_time: 0.0214 memory: 8198 grad_norm: 5.5605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6163 loss: 1.6163 2022/08/03 04:08:41 - mmengine - INFO - Epoch(train) [92][260/1879] lr: 1.0000e-02 eta: 1 day, 0:29:48 time: 0.2839 data_time: 0.0238 memory: 8198 grad_norm: 5.4979 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5748 loss: 1.5748 2022/08/03 04:08:47 - mmengine - INFO - Epoch(train) [92][280/1879] lr: 1.0000e-02 eta: 1 day, 0:29:42 time: 0.2883 data_time: 0.0209 memory: 8198 grad_norm: 5.4220 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7513 loss: 1.7513 2022/08/03 04:08:53 - mmengine - INFO - Epoch(train) [92][300/1879] lr: 1.0000e-02 eta: 1 day, 0:29:36 time: 0.2853 data_time: 0.0210 memory: 8198 grad_norm: 5.4174 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5678 loss: 1.5678 2022/08/03 04:08:58 - mmengine - INFO - Epoch(train) [92][320/1879] lr: 1.0000e-02 eta: 1 day, 0:29:31 time: 0.2851 data_time: 0.0247 memory: 8198 grad_norm: 5.5608 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8467 loss: 1.8467 2022/08/03 04:09:04 - mmengine - INFO - Epoch(train) [92][340/1879] lr: 1.0000e-02 eta: 1 day, 0:29:25 time: 0.2836 data_time: 0.0217 memory: 8198 grad_norm: 5.4977 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7435 loss: 1.7435 2022/08/03 04:09:10 - mmengine - INFO - Epoch(train) [92][360/1879] lr: 1.0000e-02 eta: 1 day, 0:29:19 time: 0.2863 data_time: 0.0231 memory: 8198 grad_norm: 5.3189 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5916 loss: 1.5916 2022/08/03 04:09:16 - mmengine - INFO - Epoch(train) [92][380/1879] lr: 1.0000e-02 eta: 1 day, 0:29:14 time: 0.2921 data_time: 0.0207 memory: 8198 grad_norm: 5.3415 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5432 loss: 1.5432 2022/08/03 04:09:21 - mmengine - INFO - Epoch(train) [92][400/1879] lr: 1.0000e-02 eta: 1 day, 0:29:08 time: 0.2832 data_time: 0.0194 memory: 8198 grad_norm: 5.4296 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6967 loss: 1.6967 2022/08/03 04:09:27 - mmengine - INFO - Epoch(train) [92][420/1879] lr: 1.0000e-02 eta: 1 day, 0:29:03 time: 0.2911 data_time: 0.0326 memory: 8198 grad_norm: 5.5425 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6347 loss: 1.6347 2022/08/03 04:09:33 - mmengine - INFO - Epoch(train) [92][440/1879] lr: 1.0000e-02 eta: 1 day, 0:28:57 time: 0.2848 data_time: 0.0229 memory: 8198 grad_norm: 5.3959 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5807 loss: 1.5807 2022/08/03 04:09:39 - mmengine - INFO - Epoch(train) [92][460/1879] lr: 1.0000e-02 eta: 1 day, 0:28:51 time: 0.2888 data_time: 0.0246 memory: 8198 grad_norm: 5.3481 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9383 loss: 1.9383 2022/08/03 04:09:44 - mmengine - INFO - Epoch(train) [92][480/1879] lr: 1.0000e-02 eta: 1 day, 0:28:46 time: 0.2819 data_time: 0.0208 memory: 8198 grad_norm: 5.4544 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7738 loss: 1.7738 2022/08/03 04:09:50 - mmengine - INFO - Epoch(train) [92][500/1879] lr: 1.0000e-02 eta: 1 day, 0:28:40 time: 0.2847 data_time: 0.0242 memory: 8198 grad_norm: 5.3617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6357 loss: 1.6357 2022/08/03 04:09:56 - mmengine - INFO - Epoch(train) [92][520/1879] lr: 1.0000e-02 eta: 1 day, 0:28:34 time: 0.2872 data_time: 0.0201 memory: 8198 grad_norm: 5.4720 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5829 loss: 1.5829 2022/08/03 04:10:01 - mmengine - INFO - Epoch(train) [92][540/1879] lr: 1.0000e-02 eta: 1 day, 0:28:29 time: 0.2832 data_time: 0.0204 memory: 8198 grad_norm: 5.5083 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0596 loss: 2.0596 2022/08/03 04:10:07 - mmengine - INFO - Epoch(train) [92][560/1879] lr: 1.0000e-02 eta: 1 day, 0:28:23 time: 0.2837 data_time: 0.0213 memory: 8198 grad_norm: 5.5026 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8136 loss: 1.8136 2022/08/03 04:10:13 - mmengine - INFO - Epoch(train) [92][580/1879] lr: 1.0000e-02 eta: 1 day, 0:28:17 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 5.4370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5709 loss: 1.5709 2022/08/03 04:10:18 - mmengine - INFO - Epoch(train) [92][600/1879] lr: 1.0000e-02 eta: 1 day, 0:28:11 time: 0.2785 data_time: 0.0247 memory: 8198 grad_norm: 5.3849 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7479 loss: 1.7479 2022/08/03 04:10:24 - mmengine - INFO - Epoch(train) [92][620/1879] lr: 1.0000e-02 eta: 1 day, 0:28:05 time: 0.2811 data_time: 0.0224 memory: 8198 grad_norm: 5.4208 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7146 loss: 1.7146 2022/08/03 04:10:30 - mmengine - INFO - Epoch(train) [92][640/1879] lr: 1.0000e-02 eta: 1 day, 0:28:00 time: 0.2813 data_time: 0.0232 memory: 8198 grad_norm: 5.4120 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9055 loss: 1.9055 2022/08/03 04:10:35 - mmengine - INFO - Epoch(train) [92][660/1879] lr: 1.0000e-02 eta: 1 day, 0:27:54 time: 0.2866 data_time: 0.0277 memory: 8198 grad_norm: 5.3002 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6189 loss: 1.6189 2022/08/03 04:10:41 - mmengine - INFO - Epoch(train) [92][680/1879] lr: 1.0000e-02 eta: 1 day, 0:27:48 time: 0.2809 data_time: 0.0219 memory: 8198 grad_norm: 5.4582 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5629 loss: 1.5629 2022/08/03 04:10:47 - mmengine - INFO - Epoch(train) [92][700/1879] lr: 1.0000e-02 eta: 1 day, 0:27:42 time: 0.2852 data_time: 0.0195 memory: 8198 grad_norm: 5.4187 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6833 loss: 1.6833 2022/08/03 04:10:52 - mmengine - INFO - Epoch(train) [92][720/1879] lr: 1.0000e-02 eta: 1 day, 0:27:37 time: 0.2836 data_time: 0.0208 memory: 8198 grad_norm: 5.4127 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5273 loss: 1.5273 2022/08/03 04:10:58 - mmengine - INFO - Epoch(train) [92][740/1879] lr: 1.0000e-02 eta: 1 day, 0:27:31 time: 0.2839 data_time: 0.0262 memory: 8198 grad_norm: 5.4501 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5918 loss: 1.5918 2022/08/03 04:11:04 - mmengine - INFO - Epoch(train) [92][760/1879] lr: 1.0000e-02 eta: 1 day, 0:27:25 time: 0.2842 data_time: 0.0235 memory: 8198 grad_norm: 5.4154 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7126 loss: 1.7126 2022/08/03 04:11:10 - mmengine - INFO - Epoch(train) [92][780/1879] lr: 1.0000e-02 eta: 1 day, 0:27:20 time: 0.2836 data_time: 0.0193 memory: 8198 grad_norm: 5.4074 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6391 loss: 1.6391 2022/08/03 04:11:15 - mmengine - INFO - Epoch(train) [92][800/1879] lr: 1.0000e-02 eta: 1 day, 0:27:14 time: 0.2855 data_time: 0.0236 memory: 8198 grad_norm: 5.4790 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6438 loss: 1.6438 2022/08/03 04:11:21 - mmengine - INFO - Epoch(train) [92][820/1879] lr: 1.0000e-02 eta: 1 day, 0:27:08 time: 0.2816 data_time: 0.0263 memory: 8198 grad_norm: 5.4613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5219 loss: 1.5219 2022/08/03 04:11:27 - mmengine - INFO - Epoch(train) [92][840/1879] lr: 1.0000e-02 eta: 1 day, 0:27:02 time: 0.2858 data_time: 0.0207 memory: 8198 grad_norm: 5.4424 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5812 loss: 1.5812 2022/08/03 04:11:32 - mmengine - INFO - Epoch(train) [92][860/1879] lr: 1.0000e-02 eta: 1 day, 0:26:57 time: 0.2849 data_time: 0.0257 memory: 8198 grad_norm: 5.4603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6768 loss: 1.6768 2022/08/03 04:11:38 - mmengine - INFO - Epoch(train) [92][880/1879] lr: 1.0000e-02 eta: 1 day, 0:26:51 time: 0.2810 data_time: 0.0227 memory: 8198 grad_norm: 5.4975 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8456 loss: 1.8456 2022/08/03 04:11:44 - mmengine - INFO - Epoch(train) [92][900/1879] lr: 1.0000e-02 eta: 1 day, 0:26:45 time: 0.2859 data_time: 0.0243 memory: 8198 grad_norm: 5.3673 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8561 loss: 1.8561 2022/08/03 04:11:49 - mmengine - INFO - Epoch(train) [92][920/1879] lr: 1.0000e-02 eta: 1 day, 0:26:40 time: 0.2828 data_time: 0.0252 memory: 8198 grad_norm: 5.4488 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3868 loss: 1.3868 2022/08/03 04:11:55 - mmengine - INFO - Epoch(train) [92][940/1879] lr: 1.0000e-02 eta: 1 day, 0:26:34 time: 0.2904 data_time: 0.0239 memory: 8198 grad_norm: 5.2805 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7354 loss: 1.7354 2022/08/03 04:12:01 - mmengine - INFO - Epoch(train) [92][960/1879] lr: 1.0000e-02 eta: 1 day, 0:26:28 time: 0.2869 data_time: 0.0210 memory: 8198 grad_norm: 5.4018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7034 loss: 1.7034 2022/08/03 04:12:07 - mmengine - INFO - Epoch(train) [92][980/1879] lr: 1.0000e-02 eta: 1 day, 0:26:23 time: 0.2862 data_time: 0.0310 memory: 8198 grad_norm: 5.4901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/08/03 04:12:12 - mmengine - INFO - Epoch(train) [92][1000/1879] lr: 1.0000e-02 eta: 1 day, 0:26:17 time: 0.2847 data_time: 0.0227 memory: 8198 grad_norm: 5.3403 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6805 loss: 1.6805 2022/08/03 04:12:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:12:18 - mmengine - INFO - Epoch(train) [92][1020/1879] lr: 1.0000e-02 eta: 1 day, 0:26:11 time: 0.2829 data_time: 0.0235 memory: 8198 grad_norm: 5.4593 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9223 loss: 1.9223 2022/08/03 04:12:24 - mmengine - INFO - Epoch(train) [92][1040/1879] lr: 1.0000e-02 eta: 1 day, 0:26:06 time: 0.2841 data_time: 0.0208 memory: 8198 grad_norm: 5.4186 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7925 loss: 1.7925 2022/08/03 04:12:30 - mmengine - INFO - Epoch(train) [92][1060/1879] lr: 1.0000e-02 eta: 1 day, 0:26:00 time: 0.2850 data_time: 0.0244 memory: 8198 grad_norm: 5.4371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5056 loss: 1.5056 2022/08/03 04:12:35 - mmengine - INFO - Epoch(train) [92][1080/1879] lr: 1.0000e-02 eta: 1 day, 0:25:54 time: 0.2858 data_time: 0.0224 memory: 8198 grad_norm: 5.3566 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4992 loss: 1.4992 2022/08/03 04:12:41 - mmengine - INFO - Epoch(train) [92][1100/1879] lr: 1.0000e-02 eta: 1 day, 0:25:49 time: 0.2827 data_time: 0.0251 memory: 8198 grad_norm: 5.6265 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/08/03 04:12:47 - mmengine - INFO - Epoch(train) [92][1120/1879] lr: 1.0000e-02 eta: 1 day, 0:25:43 time: 0.2864 data_time: 0.0205 memory: 8198 grad_norm: 5.5778 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7351 loss: 1.7351 2022/08/03 04:12:52 - mmengine - INFO - Epoch(train) [92][1140/1879] lr: 1.0000e-02 eta: 1 day, 0:25:37 time: 0.2805 data_time: 0.0218 memory: 8198 grad_norm: 5.4168 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6562 loss: 1.6562 2022/08/03 04:12:58 - mmengine - INFO - Epoch(train) [92][1160/1879] lr: 1.0000e-02 eta: 1 day, 0:25:31 time: 0.2819 data_time: 0.0218 memory: 8198 grad_norm: 5.4770 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6067 loss: 1.6067 2022/08/03 04:13:04 - mmengine - INFO - Epoch(train) [92][1180/1879] lr: 1.0000e-02 eta: 1 day, 0:25:25 time: 0.2823 data_time: 0.0244 memory: 8198 grad_norm: 5.4734 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5975 loss: 1.5975 2022/08/03 04:13:09 - mmengine - INFO - Epoch(train) [92][1200/1879] lr: 1.0000e-02 eta: 1 day, 0:25:20 time: 0.2822 data_time: 0.0232 memory: 8198 grad_norm: 5.5819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6468 loss: 1.6468 2022/08/03 04:13:15 - mmengine - INFO - Epoch(train) [92][1220/1879] lr: 1.0000e-02 eta: 1 day, 0:25:14 time: 0.2936 data_time: 0.0231 memory: 8198 grad_norm: 5.4865 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7676 loss: 1.7676 2022/08/03 04:13:21 - mmengine - INFO - Epoch(train) [92][1240/1879] lr: 1.0000e-02 eta: 1 day, 0:25:08 time: 0.2801 data_time: 0.0218 memory: 8198 grad_norm: 5.3875 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7029 loss: 1.7029 2022/08/03 04:13:26 - mmengine - INFO - Epoch(train) [92][1260/1879] lr: 1.0000e-02 eta: 1 day, 0:25:03 time: 0.2841 data_time: 0.0242 memory: 8198 grad_norm: 5.5549 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5981 loss: 1.5981 2022/08/03 04:13:32 - mmengine - INFO - Epoch(train) [92][1280/1879] lr: 1.0000e-02 eta: 1 day, 0:24:57 time: 0.2825 data_time: 0.0232 memory: 8198 grad_norm: 5.5528 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6192 loss: 1.6192 2022/08/03 04:13:38 - mmengine - INFO - Epoch(train) [92][1300/1879] lr: 1.0000e-02 eta: 1 day, 0:24:52 time: 0.2973 data_time: 0.0206 memory: 8198 grad_norm: 5.4389 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6872 loss: 1.6872 2022/08/03 04:13:44 - mmengine - INFO - Epoch(train) [92][1320/1879] lr: 1.0000e-02 eta: 1 day, 0:24:46 time: 0.2848 data_time: 0.0245 memory: 8198 grad_norm: 5.3724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4490 loss: 1.4490 2022/08/03 04:13:50 - mmengine - INFO - Epoch(train) [92][1340/1879] lr: 1.0000e-02 eta: 1 day, 0:24:40 time: 0.2866 data_time: 0.0254 memory: 8198 grad_norm: 5.4835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7017 loss: 1.7017 2022/08/03 04:13:55 - mmengine - INFO - Epoch(train) [92][1360/1879] lr: 1.0000e-02 eta: 1 day, 0:24:35 time: 0.2823 data_time: 0.0240 memory: 8198 grad_norm: 5.5075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7152 loss: 1.7152 2022/08/03 04:14:01 - mmengine - INFO - Epoch(train) [92][1380/1879] lr: 1.0000e-02 eta: 1 day, 0:24:29 time: 0.2841 data_time: 0.0265 memory: 8198 grad_norm: 5.3825 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8725 loss: 1.8725 2022/08/03 04:14:07 - mmengine - INFO - Epoch(train) [92][1400/1879] lr: 1.0000e-02 eta: 1 day, 0:24:24 time: 0.2973 data_time: 0.0184 memory: 8198 grad_norm: 5.5379 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6879 loss: 1.6879 2022/08/03 04:14:13 - mmengine - INFO - Epoch(train) [92][1420/1879] lr: 1.0000e-02 eta: 1 day, 0:24:18 time: 0.2825 data_time: 0.0205 memory: 8198 grad_norm: 5.3591 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5394 loss: 1.5394 2022/08/03 04:14:18 - mmengine - INFO - Epoch(train) [92][1440/1879] lr: 1.0000e-02 eta: 1 day, 0:24:12 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 5.4914 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6613 loss: 1.6613 2022/08/03 04:14:24 - mmengine - INFO - Epoch(train) [92][1460/1879] lr: 1.0000e-02 eta: 1 day, 0:24:07 time: 0.2924 data_time: 0.0250 memory: 8198 grad_norm: 5.6031 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6592 loss: 1.6592 2022/08/03 04:14:30 - mmengine - INFO - Epoch(train) [92][1480/1879] lr: 1.0000e-02 eta: 1 day, 0:24:01 time: 0.2827 data_time: 0.0211 memory: 8198 grad_norm: 5.4900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6243 loss: 1.6243 2022/08/03 04:14:35 - mmengine - INFO - Epoch(train) [92][1500/1879] lr: 1.0000e-02 eta: 1 day, 0:23:55 time: 0.2818 data_time: 0.0251 memory: 8198 grad_norm: 5.5123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4366 loss: 1.4366 2022/08/03 04:14:41 - mmengine - INFO - Epoch(train) [92][1520/1879] lr: 1.0000e-02 eta: 1 day, 0:23:49 time: 0.2825 data_time: 0.0201 memory: 8198 grad_norm: 5.3681 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5199 loss: 1.5199 2022/08/03 04:14:47 - mmengine - INFO - Epoch(train) [92][1540/1879] lr: 1.0000e-02 eta: 1 day, 0:23:44 time: 0.2993 data_time: 0.0248 memory: 8198 grad_norm: 5.4775 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4902 loss: 1.4902 2022/08/03 04:14:53 - mmengine - INFO - Epoch(train) [92][1560/1879] lr: 1.0000e-02 eta: 1 day, 0:23:38 time: 0.2800 data_time: 0.0191 memory: 8198 grad_norm: 5.3445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4395 loss: 1.4395 2022/08/03 04:14:58 - mmengine - INFO - Epoch(train) [92][1580/1879] lr: 1.0000e-02 eta: 1 day, 0:23:33 time: 0.2851 data_time: 0.0231 memory: 8198 grad_norm: 5.4573 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4222 loss: 1.4222 2022/08/03 04:15:04 - mmengine - INFO - Epoch(train) [92][1600/1879] lr: 1.0000e-02 eta: 1 day, 0:23:27 time: 0.2898 data_time: 0.0274 memory: 8198 grad_norm: 5.3721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7333 loss: 1.7333 2022/08/03 04:15:10 - mmengine - INFO - Epoch(train) [92][1620/1879] lr: 1.0000e-02 eta: 1 day, 0:23:22 time: 0.2867 data_time: 0.0235 memory: 8198 grad_norm: 5.3875 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5010 loss: 1.5010 2022/08/03 04:15:16 - mmengine - INFO - Epoch(train) [92][1640/1879] lr: 1.0000e-02 eta: 1 day, 0:23:16 time: 0.2843 data_time: 0.0228 memory: 8198 grad_norm: 5.4377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7205 loss: 1.7205 2022/08/03 04:15:21 - mmengine - INFO - Epoch(train) [92][1660/1879] lr: 1.0000e-02 eta: 1 day, 0:23:10 time: 0.2823 data_time: 0.0276 memory: 8198 grad_norm: 5.5569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5889 loss: 1.5889 2022/08/03 04:15:27 - mmengine - INFO - Epoch(train) [92][1680/1879] lr: 1.0000e-02 eta: 1 day, 0:23:05 time: 0.2879 data_time: 0.0259 memory: 8198 grad_norm: 5.5371 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8230 loss: 1.8230 2022/08/03 04:15:33 - mmengine - INFO - Epoch(train) [92][1700/1879] lr: 1.0000e-02 eta: 1 day, 0:22:59 time: 0.2801 data_time: 0.0224 memory: 8198 grad_norm: 5.4699 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7366 loss: 1.7366 2022/08/03 04:15:38 - mmengine - INFO - Epoch(train) [92][1720/1879] lr: 1.0000e-02 eta: 1 day, 0:22:53 time: 0.2816 data_time: 0.0207 memory: 8198 grad_norm: 5.4387 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5991 loss: 1.5991 2022/08/03 04:15:44 - mmengine - INFO - Epoch(train) [92][1740/1879] lr: 1.0000e-02 eta: 1 day, 0:22:48 time: 0.2952 data_time: 0.0232 memory: 8198 grad_norm: 5.3682 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7513 loss: 1.7513 2022/08/03 04:15:50 - mmengine - INFO - Epoch(train) [92][1760/1879] lr: 1.0000e-02 eta: 1 day, 0:22:42 time: 0.2773 data_time: 0.0231 memory: 8198 grad_norm: 5.6653 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6518 loss: 1.6518 2022/08/03 04:15:56 - mmengine - INFO - Epoch(train) [92][1780/1879] lr: 1.0000e-02 eta: 1 day, 0:22:36 time: 0.2832 data_time: 0.0206 memory: 8198 grad_norm: 5.3402 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7993 loss: 1.7993 2022/08/03 04:16:01 - mmengine - INFO - Epoch(train) [92][1800/1879] lr: 1.0000e-02 eta: 1 day, 0:22:30 time: 0.2802 data_time: 0.0196 memory: 8198 grad_norm: 5.5491 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0076 loss: 2.0076 2022/08/03 04:16:07 - mmengine - INFO - Epoch(train) [92][1820/1879] lr: 1.0000e-02 eta: 1 day, 0:22:24 time: 0.2876 data_time: 0.0223 memory: 8198 grad_norm: 5.3877 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5805 loss: 1.5805 2022/08/03 04:16:13 - mmengine - INFO - Epoch(train) [92][1840/1879] lr: 1.0000e-02 eta: 1 day, 0:22:19 time: 0.2814 data_time: 0.0206 memory: 8198 grad_norm: 5.5105 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7135 loss: 1.7135 2022/08/03 04:16:18 - mmengine - INFO - Epoch(train) [92][1860/1879] lr: 1.0000e-02 eta: 1 day, 0:22:13 time: 0.2861 data_time: 0.0244 memory: 8198 grad_norm: 5.3118 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6310 loss: 1.6310 2022/08/03 04:16:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:16:23 - mmengine - INFO - Epoch(train) [92][1879/1879] lr: 1.0000e-02 eta: 1 day, 0:22:13 time: 0.2535 data_time: 0.0144 memory: 8198 grad_norm: 5.5363 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7112 loss: 1.7112 2022/08/03 04:16:23 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/08/03 04:16:33 - mmengine - INFO - Epoch(train) [93][20/1879] lr: 1.0000e-02 eta: 1 day, 0:21:56 time: 0.3876 data_time: 0.1291 memory: 8198 grad_norm: 5.3281 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6693 loss: 1.6693 2022/08/03 04:16:39 - mmengine - INFO - Epoch(train) [93][40/1879] lr: 1.0000e-02 eta: 1 day, 0:21:50 time: 0.2823 data_time: 0.0160 memory: 8198 grad_norm: 5.3665 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6729 loss: 1.6729 2022/08/03 04:16:44 - mmengine - INFO - Epoch(train) [93][60/1879] lr: 1.0000e-02 eta: 1 day, 0:21:44 time: 0.2851 data_time: 0.0235 memory: 8198 grad_norm: 5.2322 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6078 loss: 1.6078 2022/08/03 04:16:50 - mmengine - INFO - Epoch(train) [93][80/1879] lr: 1.0000e-02 eta: 1 day, 0:21:39 time: 0.2824 data_time: 0.0192 memory: 8198 grad_norm: 5.4375 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5965 loss: 1.5965 2022/08/03 04:16:56 - mmengine - INFO - Epoch(train) [93][100/1879] lr: 1.0000e-02 eta: 1 day, 0:21:33 time: 0.2821 data_time: 0.0195 memory: 8198 grad_norm: 5.5607 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4398 loss: 1.4398 2022/08/03 04:17:01 - mmengine - INFO - Epoch(train) [93][120/1879] lr: 1.0000e-02 eta: 1 day, 0:21:27 time: 0.2817 data_time: 0.0214 memory: 8198 grad_norm: 5.5578 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6263 loss: 1.6263 2022/08/03 04:17:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:17:07 - mmengine - INFO - Epoch(train) [93][140/1879] lr: 1.0000e-02 eta: 1 day, 0:21:21 time: 0.2861 data_time: 0.0262 memory: 8198 grad_norm: 5.5803 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6509 loss: 1.6509 2022/08/03 04:17:13 - mmengine - INFO - Epoch(train) [93][160/1879] lr: 1.0000e-02 eta: 1 day, 0:21:16 time: 0.2838 data_time: 0.0267 memory: 8198 grad_norm: 5.6929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7105 loss: 1.7105 2022/08/03 04:17:18 - mmengine - INFO - Epoch(train) [93][180/1879] lr: 1.0000e-02 eta: 1 day, 0:21:10 time: 0.2878 data_time: 0.0290 memory: 8198 grad_norm: 5.4373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7698 loss: 1.7698 2022/08/03 04:17:24 - mmengine - INFO - Epoch(train) [93][200/1879] lr: 1.0000e-02 eta: 1 day, 0:21:04 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 5.3257 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9067 loss: 1.9067 2022/08/03 04:17:30 - mmengine - INFO - Epoch(train) [93][220/1879] lr: 1.0000e-02 eta: 1 day, 0:20:59 time: 0.2825 data_time: 0.0299 memory: 8198 grad_norm: 5.3818 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6180 loss: 1.6180 2022/08/03 04:17:36 - mmengine - INFO - Epoch(train) [93][240/1879] lr: 1.0000e-02 eta: 1 day, 0:20:53 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 5.5845 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8334 loss: 1.8334 2022/08/03 04:17:42 - mmengine - INFO - Epoch(train) [93][260/1879] lr: 1.0000e-02 eta: 1 day, 0:20:48 time: 0.2963 data_time: 0.0274 memory: 8198 grad_norm: 5.4526 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4449 loss: 1.4449 2022/08/03 04:17:47 - mmengine - INFO - Epoch(train) [93][280/1879] lr: 1.0000e-02 eta: 1 day, 0:20:42 time: 0.2803 data_time: 0.0252 memory: 8198 grad_norm: 5.5698 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7823 loss: 1.7823 2022/08/03 04:17:53 - mmengine - INFO - Epoch(train) [93][300/1879] lr: 1.0000e-02 eta: 1 day, 0:20:36 time: 0.2874 data_time: 0.0205 memory: 8198 grad_norm: 5.3347 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6882 loss: 1.6882 2022/08/03 04:17:59 - mmengine - INFO - Epoch(train) [93][320/1879] lr: 1.0000e-02 eta: 1 day, 0:20:31 time: 0.2832 data_time: 0.0220 memory: 8198 grad_norm: 5.3413 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7683 loss: 1.7683 2022/08/03 04:18:04 - mmengine - INFO - Epoch(train) [93][340/1879] lr: 1.0000e-02 eta: 1 day, 0:20:25 time: 0.2858 data_time: 0.0218 memory: 8198 grad_norm: 5.3621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5129 loss: 1.5129 2022/08/03 04:18:10 - mmengine - INFO - Epoch(train) [93][360/1879] lr: 1.0000e-02 eta: 1 day, 0:20:19 time: 0.2802 data_time: 0.0234 memory: 8198 grad_norm: 5.4028 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6322 loss: 1.6322 2022/08/03 04:18:16 - mmengine - INFO - Epoch(train) [93][380/1879] lr: 1.0000e-02 eta: 1 day, 0:20:13 time: 0.2851 data_time: 0.0218 memory: 8198 grad_norm: 5.3726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7128 loss: 1.7128 2022/08/03 04:18:21 - mmengine - INFO - Epoch(train) [93][400/1879] lr: 1.0000e-02 eta: 1 day, 0:20:08 time: 0.2809 data_time: 0.0258 memory: 8198 grad_norm: 5.4483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9222 loss: 1.9222 2022/08/03 04:18:27 - mmengine - INFO - Epoch(train) [93][420/1879] lr: 1.0000e-02 eta: 1 day, 0:20:02 time: 0.2863 data_time: 0.0235 memory: 8198 grad_norm: 5.5200 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4168 loss: 1.4168 2022/08/03 04:18:33 - mmengine - INFO - Epoch(train) [93][440/1879] lr: 1.0000e-02 eta: 1 day, 0:19:56 time: 0.2846 data_time: 0.0234 memory: 8198 grad_norm: 5.4914 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4404 loss: 1.4404 2022/08/03 04:18:38 - mmengine - INFO - Epoch(train) [93][460/1879] lr: 1.0000e-02 eta: 1 day, 0:19:50 time: 0.2835 data_time: 0.0253 memory: 8198 grad_norm: 5.5533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6246 loss: 1.6246 2022/08/03 04:18:44 - mmengine - INFO - Epoch(train) [93][480/1879] lr: 1.0000e-02 eta: 1 day, 0:19:45 time: 0.2894 data_time: 0.0202 memory: 8198 grad_norm: 5.4042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/08/03 04:18:50 - mmengine - INFO - Epoch(train) [93][500/1879] lr: 1.0000e-02 eta: 1 day, 0:19:39 time: 0.2870 data_time: 0.0257 memory: 8198 grad_norm: 5.3217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5985 loss: 1.5985 2022/08/03 04:18:56 - mmengine - INFO - Epoch(train) [93][520/1879] lr: 1.0000e-02 eta: 1 day, 0:19:34 time: 0.2806 data_time: 0.0180 memory: 8198 grad_norm: 5.4834 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7740 loss: 1.7740 2022/08/03 04:19:01 - mmengine - INFO - Epoch(train) [93][540/1879] lr: 1.0000e-02 eta: 1 day, 0:19:28 time: 0.2838 data_time: 0.0253 memory: 8198 grad_norm: 5.2634 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4757 loss: 1.4757 2022/08/03 04:19:07 - mmengine - INFO - Epoch(train) [93][560/1879] lr: 1.0000e-02 eta: 1 day, 0:19:22 time: 0.2831 data_time: 0.0236 memory: 8198 grad_norm: 5.5214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7262 loss: 1.7262 2022/08/03 04:19:13 - mmengine - INFO - Epoch(train) [93][580/1879] lr: 1.0000e-02 eta: 1 day, 0:19:16 time: 0.2843 data_time: 0.0268 memory: 8198 grad_norm: 5.4557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4459 loss: 1.4459 2022/08/03 04:19:18 - mmengine - INFO - Epoch(train) [93][600/1879] lr: 1.0000e-02 eta: 1 day, 0:19:11 time: 0.2882 data_time: 0.0208 memory: 8198 grad_norm: 5.3837 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5930 loss: 1.5930 2022/08/03 04:19:24 - mmengine - INFO - Epoch(train) [93][620/1879] lr: 1.0000e-02 eta: 1 day, 0:19:05 time: 0.2879 data_time: 0.0221 memory: 8198 grad_norm: 5.4863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6169 loss: 1.6169 2022/08/03 04:19:30 - mmengine - INFO - Epoch(train) [93][640/1879] lr: 1.0000e-02 eta: 1 day, 0:19:00 time: 0.2896 data_time: 0.0239 memory: 8198 grad_norm: 5.5478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5460 loss: 1.5460 2022/08/03 04:19:36 - mmengine - INFO - Epoch(train) [93][660/1879] lr: 1.0000e-02 eta: 1 day, 0:18:54 time: 0.2808 data_time: 0.0260 memory: 8198 grad_norm: 5.2827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5957 loss: 1.5957 2022/08/03 04:19:41 - mmengine - INFO - Epoch(train) [93][680/1879] lr: 1.0000e-02 eta: 1 day, 0:18:48 time: 0.2827 data_time: 0.0234 memory: 8198 grad_norm: 5.4618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6904 loss: 1.6904 2022/08/03 04:19:47 - mmengine - INFO - Epoch(train) [93][700/1879] lr: 1.0000e-02 eta: 1 day, 0:18:42 time: 0.2880 data_time: 0.0294 memory: 8198 grad_norm: 5.4471 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5903 loss: 1.5903 2022/08/03 04:19:53 - mmengine - INFO - Epoch(train) [93][720/1879] lr: 1.0000e-02 eta: 1 day, 0:18:37 time: 0.2836 data_time: 0.0233 memory: 8198 grad_norm: 5.3875 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8590 loss: 1.8590 2022/08/03 04:19:59 - mmengine - INFO - Epoch(train) [93][740/1879] lr: 1.0000e-02 eta: 1 day, 0:18:31 time: 0.2843 data_time: 0.0256 memory: 8198 grad_norm: 5.4276 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5987 loss: 1.5987 2022/08/03 04:20:04 - mmengine - INFO - Epoch(train) [93][760/1879] lr: 1.0000e-02 eta: 1 day, 0:18:25 time: 0.2886 data_time: 0.0251 memory: 8198 grad_norm: 5.5078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6840 loss: 1.6840 2022/08/03 04:20:10 - mmengine - INFO - Epoch(train) [93][780/1879] lr: 1.0000e-02 eta: 1 day, 0:18:20 time: 0.2813 data_time: 0.0215 memory: 8198 grad_norm: 5.4015 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5631 loss: 1.5631 2022/08/03 04:20:16 - mmengine - INFO - Epoch(train) [93][800/1879] lr: 1.0000e-02 eta: 1 day, 0:18:14 time: 0.2874 data_time: 0.0172 memory: 8198 grad_norm: 5.3658 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4933 loss: 1.4933 2022/08/03 04:20:23 - mmengine - INFO - Epoch(train) [93][820/1879] lr: 1.0000e-02 eta: 1 day, 0:18:11 time: 0.3510 data_time: 0.0191 memory: 8198 grad_norm: 5.3119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5118 loss: 1.5118 2022/08/03 04:20:29 - mmengine - INFO - Epoch(train) [93][840/1879] lr: 1.0000e-02 eta: 1 day, 0:18:05 time: 0.2963 data_time: 0.0188 memory: 8198 grad_norm: 5.5096 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5348 loss: 1.5348 2022/08/03 04:20:34 - mmengine - INFO - Epoch(train) [93][860/1879] lr: 1.0000e-02 eta: 1 day, 0:18:00 time: 0.2872 data_time: 0.0252 memory: 8198 grad_norm: 5.4121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6663 loss: 1.6663 2022/08/03 04:20:40 - mmengine - INFO - Epoch(train) [93][880/1879] lr: 1.0000e-02 eta: 1 day, 0:17:54 time: 0.2819 data_time: 0.0234 memory: 8198 grad_norm: 5.2583 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4948 loss: 1.4948 2022/08/03 04:20:46 - mmengine - INFO - Epoch(train) [93][900/1879] lr: 1.0000e-02 eta: 1 day, 0:17:49 time: 0.3080 data_time: 0.0225 memory: 8198 grad_norm: 5.3959 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6066 loss: 1.6066 2022/08/03 04:20:52 - mmengine - INFO - Epoch(train) [93][920/1879] lr: 1.0000e-02 eta: 1 day, 0:17:43 time: 0.2822 data_time: 0.0225 memory: 8198 grad_norm: 5.2158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6661 loss: 1.6661 2022/08/03 04:20:58 - mmengine - INFO - Epoch(train) [93][940/1879] lr: 1.0000e-02 eta: 1 day, 0:17:38 time: 0.2890 data_time: 0.0263 memory: 8198 grad_norm: 5.3085 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4793 loss: 1.4793 2022/08/03 04:21:04 - mmengine - INFO - Epoch(train) [93][960/1879] lr: 1.0000e-02 eta: 1 day, 0:17:33 time: 0.3110 data_time: 0.0234 memory: 8198 grad_norm: 5.5455 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6560 loss: 1.6560 2022/08/03 04:21:10 - mmengine - INFO - Epoch(train) [93][980/1879] lr: 1.0000e-02 eta: 1 day, 0:17:27 time: 0.2757 data_time: 0.0194 memory: 8198 grad_norm: 5.4189 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6885 loss: 1.6885 2022/08/03 04:21:15 - mmengine - INFO - Epoch(train) [93][1000/1879] lr: 1.0000e-02 eta: 1 day, 0:17:21 time: 0.2866 data_time: 0.0234 memory: 8198 grad_norm: 5.4990 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8735 loss: 1.8735 2022/08/03 04:21:21 - mmengine - INFO - Epoch(train) [93][1020/1879] lr: 1.0000e-02 eta: 1 day, 0:17:16 time: 0.2831 data_time: 0.0231 memory: 8198 grad_norm: 5.2644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6862 loss: 1.6862 2022/08/03 04:21:27 - mmengine - INFO - Epoch(train) [93][1040/1879] lr: 1.0000e-02 eta: 1 day, 0:17:10 time: 0.2842 data_time: 0.0187 memory: 8198 grad_norm: 5.3235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5181 loss: 1.5181 2022/08/03 04:21:32 - mmengine - INFO - Epoch(train) [93][1060/1879] lr: 1.0000e-02 eta: 1 day, 0:17:04 time: 0.2846 data_time: 0.0249 memory: 8198 grad_norm: 5.4198 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4963 loss: 1.4963 2022/08/03 04:21:38 - mmengine - INFO - Epoch(train) [93][1080/1879] lr: 1.0000e-02 eta: 1 day, 0:16:59 time: 0.2859 data_time: 0.0272 memory: 8198 grad_norm: 5.4927 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6414 loss: 1.6414 2022/08/03 04:21:44 - mmengine - INFO - Epoch(train) [93][1100/1879] lr: 1.0000e-02 eta: 1 day, 0:16:53 time: 0.2821 data_time: 0.0198 memory: 8198 grad_norm: 5.4302 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6942 loss: 1.6942 2022/08/03 04:21:49 - mmengine - INFO - Epoch(train) [93][1120/1879] lr: 1.0000e-02 eta: 1 day, 0:16:47 time: 0.2812 data_time: 0.0267 memory: 8198 grad_norm: 5.2999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6774 loss: 1.6774 2022/08/03 04:21:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:21:55 - mmengine - INFO - Epoch(train) [93][1140/1879] lr: 1.0000e-02 eta: 1 day, 0:16:42 time: 0.2911 data_time: 0.0217 memory: 8198 grad_norm: 5.4022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/08/03 04:22:01 - mmengine - INFO - Epoch(train) [93][1160/1879] lr: 1.0000e-02 eta: 1 day, 0:16:36 time: 0.2810 data_time: 0.0200 memory: 8198 grad_norm: 5.4439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4536 loss: 1.4536 2022/08/03 04:22:07 - mmengine - INFO - Epoch(train) [93][1180/1879] lr: 1.0000e-02 eta: 1 day, 0:16:30 time: 0.2844 data_time: 0.0249 memory: 8198 grad_norm: 5.5762 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7114 loss: 1.7114 2022/08/03 04:22:12 - mmengine - INFO - Epoch(train) [93][1200/1879] lr: 1.0000e-02 eta: 1 day, 0:16:24 time: 0.2845 data_time: 0.0200 memory: 8198 grad_norm: 5.5155 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7166 loss: 1.7166 2022/08/03 04:22:18 - mmengine - INFO - Epoch(train) [93][1220/1879] lr: 1.0000e-02 eta: 1 day, 0:16:19 time: 0.2886 data_time: 0.0255 memory: 8198 grad_norm: 5.4381 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5880 loss: 1.5880 2022/08/03 04:22:24 - mmengine - INFO - Epoch(train) [93][1240/1879] lr: 1.0000e-02 eta: 1 day, 0:16:13 time: 0.2827 data_time: 0.0225 memory: 8198 grad_norm: 5.4972 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4914 loss: 1.4914 2022/08/03 04:22:29 - mmengine - INFO - Epoch(train) [93][1260/1879] lr: 1.0000e-02 eta: 1 day, 0:16:07 time: 0.2859 data_time: 0.0297 memory: 8198 grad_norm: 5.5210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6389 loss: 1.6389 2022/08/03 04:22:35 - mmengine - INFO - Epoch(train) [93][1280/1879] lr: 1.0000e-02 eta: 1 day, 0:16:02 time: 0.2864 data_time: 0.0200 memory: 8198 grad_norm: 5.3469 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5295 loss: 1.5295 2022/08/03 04:22:41 - mmengine - INFO - Epoch(train) [93][1300/1879] lr: 1.0000e-02 eta: 1 day, 0:15:56 time: 0.2852 data_time: 0.0234 memory: 8198 grad_norm: 5.5023 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5617 loss: 1.5617 2022/08/03 04:22:47 - mmengine - INFO - Epoch(train) [93][1320/1879] lr: 1.0000e-02 eta: 1 day, 0:15:51 time: 0.2900 data_time: 0.0280 memory: 8198 grad_norm: 5.2789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6338 loss: 1.6338 2022/08/03 04:22:52 - mmengine - INFO - Epoch(train) [93][1340/1879] lr: 1.0000e-02 eta: 1 day, 0:15:45 time: 0.2870 data_time: 0.0252 memory: 8198 grad_norm: 5.3682 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5559 loss: 1.5559 2022/08/03 04:22:58 - mmengine - INFO - Epoch(train) [93][1360/1879] lr: 1.0000e-02 eta: 1 day, 0:15:39 time: 0.2839 data_time: 0.0166 memory: 8198 grad_norm: 5.5458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6019 loss: 1.6019 2022/08/03 04:23:04 - mmengine - INFO - Epoch(train) [93][1380/1879] lr: 1.0000e-02 eta: 1 day, 0:15:34 time: 0.2877 data_time: 0.0263 memory: 8198 grad_norm: 5.3554 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7409 loss: 1.7409 2022/08/03 04:23:10 - mmengine - INFO - Epoch(train) [93][1400/1879] lr: 1.0000e-02 eta: 1 day, 0:15:28 time: 0.2832 data_time: 0.0210 memory: 8198 grad_norm: 5.2850 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7688 loss: 1.7688 2022/08/03 04:23:15 - mmengine - INFO - Epoch(train) [93][1420/1879] lr: 1.0000e-02 eta: 1 day, 0:15:22 time: 0.2823 data_time: 0.0217 memory: 8198 grad_norm: 5.3928 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8190 loss: 1.8190 2022/08/03 04:23:21 - mmengine - INFO - Epoch(train) [93][1440/1879] lr: 1.0000e-02 eta: 1 day, 0:15:16 time: 0.2804 data_time: 0.0194 memory: 8198 grad_norm: 5.6286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6075 loss: 1.6075 2022/08/03 04:23:27 - mmengine - INFO - Epoch(train) [93][1460/1879] lr: 1.0000e-02 eta: 1 day, 0:15:11 time: 0.2897 data_time: 0.0274 memory: 8198 grad_norm: 5.4989 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8105 loss: 1.8105 2022/08/03 04:23:32 - mmengine - INFO - Epoch(train) [93][1480/1879] lr: 1.0000e-02 eta: 1 day, 0:15:05 time: 0.2833 data_time: 0.0209 memory: 8198 grad_norm: 5.4245 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8627 loss: 1.8627 2022/08/03 04:23:38 - mmengine - INFO - Epoch(train) [93][1500/1879] lr: 1.0000e-02 eta: 1 day, 0:14:59 time: 0.2836 data_time: 0.0216 memory: 8198 grad_norm: 5.2902 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6076 loss: 1.6076 2022/08/03 04:23:44 - mmengine - INFO - Epoch(train) [93][1520/1879] lr: 1.0000e-02 eta: 1 day, 0:14:54 time: 0.2832 data_time: 0.0223 memory: 8198 grad_norm: 5.3655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6012 loss: 1.6012 2022/08/03 04:23:49 - mmengine - INFO - Epoch(train) [93][1540/1879] lr: 1.0000e-02 eta: 1 day, 0:14:48 time: 0.2825 data_time: 0.0224 memory: 8198 grad_norm: 5.6286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5465 loss: 1.5465 2022/08/03 04:23:55 - mmengine - INFO - Epoch(train) [93][1560/1879] lr: 1.0000e-02 eta: 1 day, 0:14:43 time: 0.2989 data_time: 0.0222 memory: 8198 grad_norm: 5.5572 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6211 loss: 1.6211 2022/08/03 04:24:01 - mmengine - INFO - Epoch(train) [93][1580/1879] lr: 1.0000e-02 eta: 1 day, 0:14:37 time: 0.2822 data_time: 0.0201 memory: 8198 grad_norm: 5.3669 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 1.6343 loss: 1.6343 2022/08/03 04:24:07 - mmengine - INFO - Epoch(train) [93][1600/1879] lr: 1.0000e-02 eta: 1 day, 0:14:31 time: 0.2835 data_time: 0.0209 memory: 8198 grad_norm: 5.5161 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3659 loss: 1.3659 2022/08/03 04:24:12 - mmengine - INFO - Epoch(train) [93][1620/1879] lr: 1.0000e-02 eta: 1 day, 0:14:25 time: 0.2835 data_time: 0.0296 memory: 8198 grad_norm: 5.4452 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6446 loss: 1.6446 2022/08/03 04:24:18 - mmengine - INFO - Epoch(train) [93][1640/1879] lr: 1.0000e-02 eta: 1 day, 0:14:20 time: 0.2870 data_time: 0.0215 memory: 8198 grad_norm: 5.5715 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.7362 loss: 1.7362 2022/08/03 04:24:24 - mmengine - INFO - Epoch(train) [93][1660/1879] lr: 1.0000e-02 eta: 1 day, 0:14:14 time: 0.2835 data_time: 0.0202 memory: 8198 grad_norm: 5.2972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6259 loss: 1.6259 2022/08/03 04:24:30 - mmengine - INFO - Epoch(train) [93][1680/1879] lr: 1.0000e-02 eta: 1 day, 0:14:09 time: 0.2959 data_time: 0.0223 memory: 8198 grad_norm: 5.3367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7246 loss: 1.7246 2022/08/03 04:24:36 - mmengine - INFO - Epoch(train) [93][1700/1879] lr: 1.0000e-02 eta: 1 day, 0:14:03 time: 0.2847 data_time: 0.0260 memory: 8198 grad_norm: 5.5052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6235 loss: 1.6235 2022/08/03 04:24:42 - mmengine - INFO - Epoch(train) [93][1720/1879] lr: 1.0000e-02 eta: 1 day, 0:13:58 time: 0.2964 data_time: 0.0256 memory: 8198 grad_norm: 5.3960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5676 loss: 1.5676 2022/08/03 04:24:47 - mmengine - INFO - Epoch(train) [93][1740/1879] lr: 1.0000e-02 eta: 1 day, 0:13:52 time: 0.2858 data_time: 0.0268 memory: 8198 grad_norm: 5.4957 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6020 loss: 1.6020 2022/08/03 04:24:53 - mmengine - INFO - Epoch(train) [93][1760/1879] lr: 1.0000e-02 eta: 1 day, 0:13:46 time: 0.2818 data_time: 0.0200 memory: 8198 grad_norm: 5.3972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5817 loss: 1.5817 2022/08/03 04:24:59 - mmengine - INFO - Epoch(train) [93][1780/1879] lr: 1.0000e-02 eta: 1 day, 0:13:41 time: 0.2901 data_time: 0.0229 memory: 8198 grad_norm: 5.4925 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6808 loss: 1.6808 2022/08/03 04:25:04 - mmengine - INFO - Epoch(train) [93][1800/1879] lr: 1.0000e-02 eta: 1 day, 0:13:35 time: 0.2867 data_time: 0.0245 memory: 8198 grad_norm: 5.5174 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6981 loss: 1.6981 2022/08/03 04:25:10 - mmengine - INFO - Epoch(train) [93][1820/1879] lr: 1.0000e-02 eta: 1 day, 0:13:29 time: 0.2827 data_time: 0.0188 memory: 8198 grad_norm: 5.5582 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8170 loss: 1.8170 2022/08/03 04:25:16 - mmengine - INFO - Epoch(train) [93][1840/1879] lr: 1.0000e-02 eta: 1 day, 0:13:24 time: 0.2913 data_time: 0.0257 memory: 8198 grad_norm: 5.3942 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6028 loss: 1.6028 2022/08/03 04:25:22 - mmengine - INFO - Epoch(train) [93][1860/1879] lr: 1.0000e-02 eta: 1 day, 0:13:18 time: 0.2824 data_time: 0.0211 memory: 8198 grad_norm: 5.5235 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7283 loss: 1.7283 2022/08/03 04:25:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:25:27 - mmengine - INFO - Epoch(train) [93][1879/1879] lr: 1.0000e-02 eta: 1 day, 0:13:18 time: 0.2633 data_time: 0.0131 memory: 8198 grad_norm: 5.4950 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.7479 loss: 1.7479 2022/08/03 04:25:35 - mmengine - INFO - Epoch(train) [94][20/1879] lr: 1.0000e-02 eta: 1 day, 0:13:01 time: 0.3952 data_time: 0.1121 memory: 8198 grad_norm: 5.3257 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5542 loss: 1.5542 2022/08/03 04:25:40 - mmengine - INFO - Epoch(train) [94][40/1879] lr: 1.0000e-02 eta: 1 day, 0:12:56 time: 0.2885 data_time: 0.0192 memory: 8198 grad_norm: 5.3297 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6058 loss: 1.6058 2022/08/03 04:25:46 - mmengine - INFO - Epoch(train) [94][60/1879] lr: 1.0000e-02 eta: 1 day, 0:12:51 time: 0.2973 data_time: 0.0245 memory: 8198 grad_norm: 5.3444 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5166 loss: 1.5166 2022/08/03 04:25:52 - mmengine - INFO - Epoch(train) [94][80/1879] lr: 1.0000e-02 eta: 1 day, 0:12:45 time: 0.2828 data_time: 0.0171 memory: 8198 grad_norm: 5.1953 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7171 loss: 1.7171 2022/08/03 04:25:58 - mmengine - INFO - Epoch(train) [94][100/1879] lr: 1.0000e-02 eta: 1 day, 0:12:39 time: 0.2884 data_time: 0.0294 memory: 8198 grad_norm: 5.3788 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3635 loss: 1.3635 2022/08/03 04:26:04 - mmengine - INFO - Epoch(train) [94][120/1879] lr: 1.0000e-02 eta: 1 day, 0:12:34 time: 0.2867 data_time: 0.0213 memory: 8198 grad_norm: 5.4585 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6792 loss: 1.6792 2022/08/03 04:26:09 - mmengine - INFO - Epoch(train) [94][140/1879] lr: 1.0000e-02 eta: 1 day, 0:12:28 time: 0.2853 data_time: 0.0240 memory: 8198 grad_norm: 5.5116 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6371 loss: 1.6371 2022/08/03 04:26:15 - mmengine - INFO - Epoch(train) [94][160/1879] lr: 1.0000e-02 eta: 1 day, 0:12:23 time: 0.2953 data_time: 0.0238 memory: 8198 grad_norm: 5.5279 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6027 loss: 1.6027 2022/08/03 04:26:21 - mmengine - INFO - Epoch(train) [94][180/1879] lr: 1.0000e-02 eta: 1 day, 0:12:17 time: 0.2819 data_time: 0.0211 memory: 8198 grad_norm: 5.4922 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7216 loss: 1.7216 2022/08/03 04:26:27 - mmengine - INFO - Epoch(train) [94][200/1879] lr: 1.0000e-02 eta: 1 day, 0:12:11 time: 0.2836 data_time: 0.0243 memory: 8198 grad_norm: 5.5341 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5326 loss: 1.5326 2022/08/03 04:26:32 - mmengine - INFO - Epoch(train) [94][220/1879] lr: 1.0000e-02 eta: 1 day, 0:12:05 time: 0.2821 data_time: 0.0171 memory: 8198 grad_norm: 5.3799 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7598 loss: 1.7598 2022/08/03 04:26:38 - mmengine - INFO - Epoch(train) [94][240/1879] lr: 1.0000e-02 eta: 1 day, 0:12:00 time: 0.2906 data_time: 0.0210 memory: 8198 grad_norm: 5.2188 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5608 loss: 1.5608 2022/08/03 04:26:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:26:44 - mmengine - INFO - Epoch(train) [94][260/1879] lr: 1.0000e-02 eta: 1 day, 0:11:54 time: 0.2825 data_time: 0.0158 memory: 8198 grad_norm: 5.6520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6721 loss: 1.6721 2022/08/03 04:26:49 - mmengine - INFO - Epoch(train) [94][280/1879] lr: 1.0000e-02 eta: 1 day, 0:11:48 time: 0.2840 data_time: 0.0208 memory: 8198 grad_norm: 5.4617 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5975 loss: 1.5975 2022/08/03 04:26:55 - mmengine - INFO - Epoch(train) [94][300/1879] lr: 1.0000e-02 eta: 1 day, 0:11:43 time: 0.2903 data_time: 0.0258 memory: 8198 grad_norm: 5.2707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5225 loss: 1.5225 2022/08/03 04:27:01 - mmengine - INFO - Epoch(train) [94][320/1879] lr: 1.0000e-02 eta: 1 day, 0:11:37 time: 0.2775 data_time: 0.0197 memory: 8198 grad_norm: 5.3348 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6716 loss: 1.6716 2022/08/03 04:27:06 - mmengine - INFO - Epoch(train) [94][340/1879] lr: 1.0000e-02 eta: 1 day, 0:11:31 time: 0.2832 data_time: 0.0209 memory: 8198 grad_norm: 5.5626 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6559 loss: 1.6559 2022/08/03 04:27:12 - mmengine - INFO - Epoch(train) [94][360/1879] lr: 1.0000e-02 eta: 1 day, 0:11:25 time: 0.2830 data_time: 0.0219 memory: 8198 grad_norm: 5.3185 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6415 loss: 1.6415 2022/08/03 04:27:18 - mmengine - INFO - Epoch(train) [94][380/1879] lr: 1.0000e-02 eta: 1 day, 0:11:20 time: 0.2901 data_time: 0.0236 memory: 8198 grad_norm: 5.3704 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7015 loss: 1.7015 2022/08/03 04:27:24 - mmengine - INFO - Epoch(train) [94][400/1879] lr: 1.0000e-02 eta: 1 day, 0:11:14 time: 0.2831 data_time: 0.0240 memory: 8198 grad_norm: 5.6827 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6765 loss: 1.6765 2022/08/03 04:27:29 - mmengine - INFO - Epoch(train) [94][420/1879] lr: 1.0000e-02 eta: 1 day, 0:11:08 time: 0.2833 data_time: 0.0238 memory: 8198 grad_norm: 5.3722 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4081 loss: 1.4081 2022/08/03 04:27:35 - mmengine - INFO - Epoch(train) [94][440/1879] lr: 1.0000e-02 eta: 1 day, 0:11:03 time: 0.2893 data_time: 0.0290 memory: 8198 grad_norm: 5.2770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4696 loss: 1.4696 2022/08/03 04:27:41 - mmengine - INFO - Epoch(train) [94][460/1879] lr: 1.0000e-02 eta: 1 day, 0:10:57 time: 0.2824 data_time: 0.0221 memory: 8198 grad_norm: 5.4076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6316 loss: 1.6316 2022/08/03 04:27:46 - mmengine - INFO - Epoch(train) [94][480/1879] lr: 1.0000e-02 eta: 1 day, 0:10:51 time: 0.2839 data_time: 0.0240 memory: 8198 grad_norm: 5.4346 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7231 loss: 1.7231 2022/08/03 04:27:52 - mmengine - INFO - Epoch(train) [94][500/1879] lr: 1.0000e-02 eta: 1 day, 0:10:46 time: 0.2868 data_time: 0.0244 memory: 8198 grad_norm: 5.4814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7041 loss: 1.7041 2022/08/03 04:27:58 - mmengine - INFO - Epoch(train) [94][520/1879] lr: 1.0000e-02 eta: 1 day, 0:10:40 time: 0.2841 data_time: 0.0285 memory: 8198 grad_norm: 5.5231 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6208 loss: 1.6208 2022/08/03 04:28:04 - mmengine - INFO - Epoch(train) [94][540/1879] lr: 1.0000e-02 eta: 1 day, 0:10:34 time: 0.2820 data_time: 0.0247 memory: 8198 grad_norm: 5.4284 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6822 loss: 1.6822 2022/08/03 04:28:09 - mmengine - INFO - Epoch(train) [94][560/1879] lr: 1.0000e-02 eta: 1 day, 0:10:29 time: 0.2832 data_time: 0.0196 memory: 8198 grad_norm: 5.2473 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4822 loss: 1.4822 2022/08/03 04:28:15 - mmengine - INFO - Epoch(train) [94][580/1879] lr: 1.0000e-02 eta: 1 day, 0:10:23 time: 0.2896 data_time: 0.0243 memory: 8198 grad_norm: 5.3791 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6319 loss: 1.6319 2022/08/03 04:28:21 - mmengine - INFO - Epoch(train) [94][600/1879] lr: 1.0000e-02 eta: 1 day, 0:10:17 time: 0.2796 data_time: 0.0175 memory: 8198 grad_norm: 5.3293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7650 loss: 1.7650 2022/08/03 04:28:26 - mmengine - INFO - Epoch(train) [94][620/1879] lr: 1.0000e-02 eta: 1 day, 0:10:11 time: 0.2825 data_time: 0.0219 memory: 8198 grad_norm: 5.3422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5786 loss: 1.5786 2022/08/03 04:28:32 - mmengine - INFO - Epoch(train) [94][640/1879] lr: 1.0000e-02 eta: 1 day, 0:10:06 time: 0.2823 data_time: 0.0224 memory: 8198 grad_norm: 5.6461 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7873 loss: 1.7873 2022/08/03 04:28:38 - mmengine - INFO - Epoch(train) [94][660/1879] lr: 1.0000e-02 eta: 1 day, 0:10:00 time: 0.2885 data_time: 0.0220 memory: 8198 grad_norm: 5.4057 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7550 loss: 1.7550 2022/08/03 04:28:43 - mmengine - INFO - Epoch(train) [94][680/1879] lr: 1.0000e-02 eta: 1 day, 0:09:54 time: 0.2808 data_time: 0.0186 memory: 8198 grad_norm: 5.2517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6024 loss: 1.6024 2022/08/03 04:28:49 - mmengine - INFO - Epoch(train) [94][700/1879] lr: 1.0000e-02 eta: 1 day, 0:09:49 time: 0.2981 data_time: 0.0271 memory: 8198 grad_norm: 5.4377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6458 loss: 1.6458 2022/08/03 04:28:55 - mmengine - INFO - Epoch(train) [94][720/1879] lr: 1.0000e-02 eta: 1 day, 0:09:43 time: 0.2825 data_time: 0.0233 memory: 8198 grad_norm: 5.6294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5789 loss: 1.5789 2022/08/03 04:29:01 - mmengine - INFO - Epoch(train) [94][740/1879] lr: 1.0000e-02 eta: 1 day, 0:09:38 time: 0.2828 data_time: 0.0213 memory: 8198 grad_norm: 5.5348 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5057 loss: 1.5057 2022/08/03 04:29:07 - mmengine - INFO - Epoch(train) [94][760/1879] lr: 1.0000e-02 eta: 1 day, 0:09:32 time: 0.2904 data_time: 0.0227 memory: 8198 grad_norm: 5.5123 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5779 loss: 1.5779 2022/08/03 04:29:12 - mmengine - INFO - Epoch(train) [94][780/1879] lr: 1.0000e-02 eta: 1 day, 0:09:26 time: 0.2831 data_time: 0.0269 memory: 8198 grad_norm: 5.5389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4760 loss: 1.4760 2022/08/03 04:29:18 - mmengine - INFO - Epoch(train) [94][800/1879] lr: 1.0000e-02 eta: 1 day, 0:09:21 time: 0.2861 data_time: 0.0208 memory: 8198 grad_norm: 5.4283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7187 loss: 1.7187 2022/08/03 04:29:24 - mmengine - INFO - Epoch(train) [94][820/1879] lr: 1.0000e-02 eta: 1 day, 0:09:15 time: 0.2823 data_time: 0.0226 memory: 8198 grad_norm: 5.5146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/08/03 04:29:30 - mmengine - INFO - Epoch(train) [94][840/1879] lr: 1.0000e-02 eta: 1 day, 0:09:10 time: 0.2950 data_time: 0.0243 memory: 8198 grad_norm: 5.4874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6806 loss: 1.6806 2022/08/03 04:29:35 - mmengine - INFO - Epoch(train) [94][860/1879] lr: 1.0000e-02 eta: 1 day, 0:09:04 time: 0.2789 data_time: 0.0218 memory: 8198 grad_norm: 5.3526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5291 loss: 1.5291 2022/08/03 04:29:41 - mmengine - INFO - Epoch(train) [94][880/1879] lr: 1.0000e-02 eta: 1 day, 0:08:58 time: 0.2843 data_time: 0.0199 memory: 8198 grad_norm: 5.4941 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9461 loss: 1.9461 2022/08/03 04:29:47 - mmengine - INFO - Epoch(train) [94][900/1879] lr: 1.0000e-02 eta: 1 day, 0:08:53 time: 0.2928 data_time: 0.0247 memory: 8198 grad_norm: 5.5315 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.4692 loss: 1.4692 2022/08/03 04:29:52 - mmengine - INFO - Epoch(train) [94][920/1879] lr: 1.0000e-02 eta: 1 day, 0:08:47 time: 0.2813 data_time: 0.0222 memory: 8198 grad_norm: 5.4686 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7875 loss: 1.7875 2022/08/03 04:29:58 - mmengine - INFO - Epoch(train) [94][940/1879] lr: 1.0000e-02 eta: 1 day, 0:08:41 time: 0.2850 data_time: 0.0215 memory: 8198 grad_norm: 5.4006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5741 loss: 1.5741 2022/08/03 04:30:04 - mmengine - INFO - Epoch(train) [94][960/1879] lr: 1.0000e-02 eta: 1 day, 0:08:35 time: 0.2819 data_time: 0.0214 memory: 8198 grad_norm: 5.4199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5221 loss: 1.5221 2022/08/03 04:30:09 - mmengine - INFO - Epoch(train) [94][980/1879] lr: 1.0000e-02 eta: 1 day, 0:08:30 time: 0.2852 data_time: 0.0222 memory: 8198 grad_norm: 5.2989 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7624 loss: 1.7624 2022/08/03 04:30:15 - mmengine - INFO - Epoch(train) [94][1000/1879] lr: 1.0000e-02 eta: 1 day, 0:08:24 time: 0.2834 data_time: 0.0212 memory: 8198 grad_norm: 5.3847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5914 loss: 1.5914 2022/08/03 04:30:21 - mmengine - INFO - Epoch(train) [94][1020/1879] lr: 1.0000e-02 eta: 1 day, 0:08:18 time: 0.2923 data_time: 0.0241 memory: 8198 grad_norm: 5.4321 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7430 loss: 1.7430 2022/08/03 04:30:27 - mmengine - INFO - Epoch(train) [94][1040/1879] lr: 1.0000e-02 eta: 1 day, 0:08:13 time: 0.2803 data_time: 0.0181 memory: 8198 grad_norm: 5.3177 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5370 loss: 1.5370 2022/08/03 04:30:32 - mmengine - INFO - Epoch(train) [94][1060/1879] lr: 1.0000e-02 eta: 1 day, 0:08:07 time: 0.2896 data_time: 0.0321 memory: 8198 grad_norm: 5.4134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6164 loss: 1.6164 2022/08/03 04:30:38 - mmengine - INFO - Epoch(train) [94][1080/1879] lr: 1.0000e-02 eta: 1 day, 0:08:01 time: 0.2850 data_time: 0.0212 memory: 8198 grad_norm: 5.3867 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8113 loss: 1.8113 2022/08/03 04:30:44 - mmengine - INFO - Epoch(train) [94][1100/1879] lr: 1.0000e-02 eta: 1 day, 0:07:56 time: 0.2852 data_time: 0.0223 memory: 8198 grad_norm: 5.4727 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6424 loss: 1.6424 2022/08/03 04:30:50 - mmengine - INFO - Epoch(train) [94][1120/1879] lr: 1.0000e-02 eta: 1 day, 0:07:50 time: 0.2892 data_time: 0.0205 memory: 8198 grad_norm: 5.3628 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5773 loss: 1.5773 2022/08/03 04:30:55 - mmengine - INFO - Epoch(train) [94][1140/1879] lr: 1.0000e-02 eta: 1 day, 0:07:45 time: 0.2866 data_time: 0.0251 memory: 8198 grad_norm: 5.5180 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8655 loss: 1.8655 2022/08/03 04:31:01 - mmengine - INFO - Epoch(train) [94][1160/1879] lr: 1.0000e-02 eta: 1 day, 0:07:39 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 5.5283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5043 loss: 1.5043 2022/08/03 04:31:07 - mmengine - INFO - Epoch(train) [94][1180/1879] lr: 1.0000e-02 eta: 1 day, 0:07:33 time: 0.2810 data_time: 0.0217 memory: 8198 grad_norm: 5.7025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6662 loss: 1.6662 2022/08/03 04:31:12 - mmengine - INFO - Epoch(train) [94][1200/1879] lr: 1.0000e-02 eta: 1 day, 0:07:27 time: 0.2819 data_time: 0.0204 memory: 8198 grad_norm: 5.4072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7634 loss: 1.7634 2022/08/03 04:31:18 - mmengine - INFO - Epoch(train) [94][1220/1879] lr: 1.0000e-02 eta: 1 day, 0:07:22 time: 0.2913 data_time: 0.0223 memory: 8198 grad_norm: 5.4560 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.5222 loss: 1.5222 2022/08/03 04:31:24 - mmengine - INFO - Epoch(train) [94][1240/1879] lr: 1.0000e-02 eta: 1 day, 0:07:16 time: 0.2809 data_time: 0.0202 memory: 8198 grad_norm: 5.4240 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8462 loss: 1.8462 2022/08/03 04:31:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:31:30 - mmengine - INFO - Epoch(train) [94][1260/1879] lr: 1.0000e-02 eta: 1 day, 0:07:10 time: 0.2845 data_time: 0.0255 memory: 8198 grad_norm: 5.4590 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4215 loss: 1.4215 2022/08/03 04:31:35 - mmengine - INFO - Epoch(train) [94][1280/1879] lr: 1.0000e-02 eta: 1 day, 0:07:05 time: 0.2914 data_time: 0.0250 memory: 8198 grad_norm: 5.5542 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5867 loss: 1.5867 2022/08/03 04:31:41 - mmengine - INFO - Epoch(train) [94][1300/1879] lr: 1.0000e-02 eta: 1 day, 0:06:59 time: 0.2844 data_time: 0.0187 memory: 8198 grad_norm: 5.4633 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6373 loss: 1.6373 2022/08/03 04:31:47 - mmengine - INFO - Epoch(train) [94][1320/1879] lr: 1.0000e-02 eta: 1 day, 0:06:53 time: 0.2835 data_time: 0.0234 memory: 8198 grad_norm: 5.4456 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5035 loss: 1.5035 2022/08/03 04:31:53 - mmengine - INFO - Epoch(train) [94][1340/1879] lr: 1.0000e-02 eta: 1 day, 0:06:48 time: 0.2918 data_time: 0.0246 memory: 8198 grad_norm: 5.5143 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6037 loss: 1.6037 2022/08/03 04:31:59 - mmengine - INFO - Epoch(train) [94][1360/1879] lr: 1.0000e-02 eta: 1 day, 0:06:43 time: 0.2958 data_time: 0.0171 memory: 8198 grad_norm: 5.6093 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7329 loss: 1.7329 2022/08/03 04:32:04 - mmengine - INFO - Epoch(train) [94][1380/1879] lr: 1.0000e-02 eta: 1 day, 0:06:37 time: 0.2898 data_time: 0.0232 memory: 8198 grad_norm: 5.4655 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6592 loss: 1.6592 2022/08/03 04:32:10 - mmengine - INFO - Epoch(train) [94][1400/1879] lr: 1.0000e-02 eta: 1 day, 0:06:31 time: 0.2869 data_time: 0.0259 memory: 8198 grad_norm: 5.5165 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7496 loss: 1.7496 2022/08/03 04:32:16 - mmengine - INFO - Epoch(train) [94][1420/1879] lr: 1.0000e-02 eta: 1 day, 0:06:26 time: 0.2882 data_time: 0.0228 memory: 8198 grad_norm: 5.5355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7114 loss: 1.7114 2022/08/03 04:32:22 - mmengine - INFO - Epoch(train) [94][1440/1879] lr: 1.0000e-02 eta: 1 day, 0:06:20 time: 0.2883 data_time: 0.0225 memory: 8198 grad_norm: 5.3164 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4581 loss: 1.4581 2022/08/03 04:32:27 - mmengine - INFO - Epoch(train) [94][1460/1879] lr: 1.0000e-02 eta: 1 day, 0:06:14 time: 0.2816 data_time: 0.0200 memory: 8198 grad_norm: 5.3621 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4906 loss: 1.4906 2022/08/03 04:32:33 - mmengine - INFO - Epoch(train) [94][1480/1879] lr: 1.0000e-02 eta: 1 day, 0:06:09 time: 0.2987 data_time: 0.0248 memory: 8198 grad_norm: 5.4576 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8575 loss: 1.8575 2022/08/03 04:32:39 - mmengine - INFO - Epoch(train) [94][1500/1879] lr: 1.0000e-02 eta: 1 day, 0:06:03 time: 0.2823 data_time: 0.0231 memory: 8198 grad_norm: 5.4576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8191 loss: 1.8191 2022/08/03 04:32:45 - mmengine - INFO - Epoch(train) [94][1520/1879] lr: 1.0000e-02 eta: 1 day, 0:05:58 time: 0.2859 data_time: 0.0206 memory: 8198 grad_norm: 5.3147 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6591 loss: 1.6591 2022/08/03 04:32:50 - mmengine - INFO - Epoch(train) [94][1540/1879] lr: 1.0000e-02 eta: 1 day, 0:05:52 time: 0.2815 data_time: 0.0215 memory: 8198 grad_norm: 5.6117 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6208 loss: 1.6208 2022/08/03 04:32:56 - mmengine - INFO - Epoch(train) [94][1560/1879] lr: 1.0000e-02 eta: 1 day, 0:05:46 time: 0.2846 data_time: 0.0246 memory: 8198 grad_norm: 5.5040 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5233 loss: 1.5233 2022/08/03 04:33:02 - mmengine - INFO - Epoch(train) [94][1580/1879] lr: 1.0000e-02 eta: 1 day, 0:05:41 time: 0.2865 data_time: 0.0239 memory: 8198 grad_norm: 5.3844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5321 loss: 1.5321 2022/08/03 04:33:07 - mmengine - INFO - Epoch(train) [94][1600/1879] lr: 1.0000e-02 eta: 1 day, 0:05:35 time: 0.2805 data_time: 0.0186 memory: 8198 grad_norm: 5.3833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7753 loss: 1.7753 2022/08/03 04:33:13 - mmengine - INFO - Epoch(train) [94][1620/1879] lr: 1.0000e-02 eta: 1 day, 0:05:29 time: 0.2838 data_time: 0.0255 memory: 8198 grad_norm: 5.3810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6864 loss: 1.6864 2022/08/03 04:33:19 - mmengine - INFO - Epoch(train) [94][1640/1879] lr: 1.0000e-02 eta: 1 day, 0:05:23 time: 0.2870 data_time: 0.0248 memory: 8198 grad_norm: 5.4518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/03 04:33:25 - mmengine - INFO - Epoch(train) [94][1660/1879] lr: 1.0000e-02 eta: 1 day, 0:05:18 time: 0.2925 data_time: 0.0348 memory: 8198 grad_norm: 5.4313 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6586 loss: 1.6586 2022/08/03 04:33:30 - mmengine - INFO - Epoch(train) [94][1680/1879] lr: 1.0000e-02 eta: 1 day, 0:05:12 time: 0.2815 data_time: 0.0242 memory: 8198 grad_norm: 5.4369 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7408 loss: 1.7408 2022/08/03 04:33:36 - mmengine - INFO - Epoch(train) [94][1700/1879] lr: 1.0000e-02 eta: 1 day, 0:05:07 time: 0.2843 data_time: 0.0242 memory: 8198 grad_norm: 5.3240 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4283 loss: 1.4283 2022/08/03 04:33:42 - mmengine - INFO - Epoch(train) [94][1720/1879] lr: 1.0000e-02 eta: 1 day, 0:05:01 time: 0.2836 data_time: 0.0190 memory: 8198 grad_norm: 5.4750 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5807 loss: 1.5807 2022/08/03 04:33:48 - mmengine - INFO - Epoch(train) [94][1740/1879] lr: 1.0000e-02 eta: 1 day, 0:04:55 time: 0.2883 data_time: 0.0240 memory: 8198 grad_norm: 5.3785 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7578 loss: 1.7578 2022/08/03 04:33:53 - mmengine - INFO - Epoch(train) [94][1760/1879] lr: 1.0000e-02 eta: 1 day, 0:04:49 time: 0.2806 data_time: 0.0196 memory: 8198 grad_norm: 5.4710 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6509 loss: 1.6509 2022/08/03 04:33:59 - mmengine - INFO - Epoch(train) [94][1780/1879] lr: 1.0000e-02 eta: 1 day, 0:04:44 time: 0.2908 data_time: 0.0211 memory: 8198 grad_norm: 5.3770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7192 loss: 1.7192 2022/08/03 04:34:05 - mmengine - INFO - Epoch(train) [94][1800/1879] lr: 1.0000e-02 eta: 1 day, 0:04:39 time: 0.2959 data_time: 0.0204 memory: 8198 grad_norm: 5.6464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7491 loss: 1.7491 2022/08/03 04:34:11 - mmengine - INFO - Epoch(train) [94][1820/1879] lr: 1.0000e-02 eta: 1 day, 0:04:33 time: 0.2810 data_time: 0.0218 memory: 8198 grad_norm: 5.4156 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5967 loss: 1.5967 2022/08/03 04:34:16 - mmengine - INFO - Epoch(train) [94][1840/1879] lr: 1.0000e-02 eta: 1 day, 0:04:27 time: 0.2826 data_time: 0.0237 memory: 8198 grad_norm: 5.3521 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/08/03 04:34:22 - mmengine - INFO - Epoch(train) [94][1860/1879] lr: 1.0000e-02 eta: 1 day, 0:04:21 time: 0.2832 data_time: 0.0202 memory: 8198 grad_norm: 5.3454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5720 loss: 1.5720 2022/08/03 04:34:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:34:27 - mmengine - INFO - Epoch(train) [94][1879/1879] lr: 1.0000e-02 eta: 1 day, 0:04:21 time: 0.2641 data_time: 0.0144 memory: 8198 grad_norm: 5.5571 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.7399 loss: 1.7399 2022/08/03 04:34:35 - mmengine - INFO - Epoch(train) [95][20/1879] lr: 1.0000e-02 eta: 1 day, 0:04:05 time: 0.4105 data_time: 0.1204 memory: 8198 grad_norm: 5.4082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5919 loss: 1.5919 2022/08/03 04:34:41 - mmengine - INFO - Epoch(train) [95][40/1879] lr: 1.0000e-02 eta: 1 day, 0:04:00 time: 0.2877 data_time: 0.0212 memory: 8198 grad_norm: 5.3089 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6567 loss: 1.6567 2022/08/03 04:34:47 - mmengine - INFO - Epoch(train) [95][60/1879] lr: 1.0000e-02 eta: 1 day, 0:03:54 time: 0.2886 data_time: 0.0200 memory: 8198 grad_norm: 5.5278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5901 loss: 1.5901 2022/08/03 04:34:52 - mmengine - INFO - Epoch(train) [95][80/1879] lr: 1.0000e-02 eta: 1 day, 0:03:48 time: 0.2820 data_time: 0.0188 memory: 8198 grad_norm: 5.5189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7720 loss: 1.7720 2022/08/03 04:34:58 - mmengine - INFO - Epoch(train) [95][100/1879] lr: 1.0000e-02 eta: 1 day, 0:03:43 time: 0.2852 data_time: 0.0235 memory: 8198 grad_norm: 5.3541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5441 loss: 1.5441 2022/08/03 04:35:04 - mmengine - INFO - Epoch(train) [95][120/1879] lr: 1.0000e-02 eta: 1 day, 0:03:37 time: 0.2829 data_time: 0.0202 memory: 8198 grad_norm: 5.4968 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6414 loss: 1.6414 2022/08/03 04:35:10 - mmengine - INFO - Epoch(train) [95][140/1879] lr: 1.0000e-02 eta: 1 day, 0:03:31 time: 0.2854 data_time: 0.0262 memory: 8198 grad_norm: 5.5182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8010 loss: 1.8010 2022/08/03 04:35:15 - mmengine - INFO - Epoch(train) [95][160/1879] lr: 1.0000e-02 eta: 1 day, 0:03:26 time: 0.2905 data_time: 0.0218 memory: 8198 grad_norm: 5.4009 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7104 loss: 1.7104 2022/08/03 04:35:21 - mmengine - INFO - Epoch(train) [95][180/1879] lr: 1.0000e-02 eta: 1 day, 0:03:20 time: 0.2864 data_time: 0.0256 memory: 8198 grad_norm: 5.3701 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4622 loss: 1.4622 2022/08/03 04:35:27 - mmengine - INFO - Epoch(train) [95][200/1879] lr: 1.0000e-02 eta: 1 day, 0:03:15 time: 0.2892 data_time: 0.0211 memory: 8198 grad_norm: 5.4299 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4908 loss: 1.4908 2022/08/03 04:35:33 - mmengine - INFO - Epoch(train) [95][220/1879] lr: 1.0000e-02 eta: 1 day, 0:03:09 time: 0.2889 data_time: 0.0225 memory: 8198 grad_norm: 5.4366 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7965 loss: 1.7965 2022/08/03 04:35:38 - mmengine - INFO - Epoch(train) [95][240/1879] lr: 1.0000e-02 eta: 1 day, 0:03:03 time: 0.2814 data_time: 0.0206 memory: 8198 grad_norm: 5.5217 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7229 loss: 1.7229 2022/08/03 04:35:44 - mmengine - INFO - Epoch(train) [95][260/1879] lr: 1.0000e-02 eta: 1 day, 0:02:58 time: 0.2863 data_time: 0.0220 memory: 8198 grad_norm: 5.4507 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5477 loss: 1.5477 2022/08/03 04:35:50 - mmengine - INFO - Epoch(train) [95][280/1879] lr: 1.0000e-02 eta: 1 day, 0:02:52 time: 0.2841 data_time: 0.0231 memory: 8198 grad_norm: 5.5056 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5643 loss: 1.5643 2022/08/03 04:35:56 - mmengine - INFO - Epoch(train) [95][300/1879] lr: 1.0000e-02 eta: 1 day, 0:02:46 time: 0.2850 data_time: 0.0212 memory: 8198 grad_norm: 5.4326 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4462 loss: 1.4462 2022/08/03 04:36:01 - mmengine - INFO - Epoch(train) [95][320/1879] lr: 1.0000e-02 eta: 1 day, 0:02:40 time: 0.2841 data_time: 0.0224 memory: 8198 grad_norm: 5.4791 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4951 loss: 1.4951 2022/08/03 04:36:07 - mmengine - INFO - Epoch(train) [95][340/1879] lr: 1.0000e-02 eta: 1 day, 0:02:35 time: 0.2869 data_time: 0.0247 memory: 8198 grad_norm: 5.4612 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6106 loss: 1.6106 2022/08/03 04:36:13 - mmengine - INFO - Epoch(train) [95][360/1879] lr: 1.0000e-02 eta: 1 day, 0:02:29 time: 0.2829 data_time: 0.0222 memory: 8198 grad_norm: 5.3669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5505 loss: 1.5505 2022/08/03 04:36:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:36:18 - mmengine - INFO - Epoch(train) [95][380/1879] lr: 1.0000e-02 eta: 1 day, 0:02:23 time: 0.2841 data_time: 0.0256 memory: 8198 grad_norm: 5.4217 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7008 loss: 1.7008 2022/08/03 04:36:24 - mmengine - INFO - Epoch(train) [95][400/1879] lr: 1.0000e-02 eta: 1 day, 0:02:18 time: 0.2932 data_time: 0.0338 memory: 8198 grad_norm: 5.2944 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6339 loss: 1.6339 2022/08/03 04:36:30 - mmengine - INFO - Epoch(train) [95][420/1879] lr: 1.0000e-02 eta: 1 day, 0:02:12 time: 0.2891 data_time: 0.0235 memory: 8198 grad_norm: 5.2643 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5854 loss: 1.5854 2022/08/03 04:36:36 - mmengine - INFO - Epoch(train) [95][440/1879] lr: 1.0000e-02 eta: 1 day, 0:02:07 time: 0.2819 data_time: 0.0217 memory: 8198 grad_norm: 5.4218 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7890 loss: 1.7890 2022/08/03 04:36:41 - mmengine - INFO - Epoch(train) [95][460/1879] lr: 1.0000e-02 eta: 1 day, 0:02:01 time: 0.2830 data_time: 0.0221 memory: 8198 grad_norm: 5.5260 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8084 loss: 1.8084 2022/08/03 04:36:48 - mmengine - INFO - Epoch(train) [95][480/1879] lr: 1.0000e-02 eta: 1 day, 0:01:56 time: 0.3078 data_time: 0.0225 memory: 8198 grad_norm: 5.6347 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/08/03 04:36:53 - mmengine - INFO - Epoch(train) [95][500/1879] lr: 1.0000e-02 eta: 1 day, 0:01:50 time: 0.2809 data_time: 0.0227 memory: 8198 grad_norm: 5.4890 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5704 loss: 1.5704 2022/08/03 04:36:59 - mmengine - INFO - Epoch(train) [95][520/1879] lr: 1.0000e-02 eta: 1 day, 0:01:44 time: 0.2843 data_time: 0.0217 memory: 8198 grad_norm: 5.5454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4661 loss: 1.4661 2022/08/03 04:37:05 - mmengine - INFO - Epoch(train) [95][540/1879] lr: 1.0000e-02 eta: 1 day, 0:01:40 time: 0.3272 data_time: 0.0215 memory: 8198 grad_norm: 5.4380 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7367 loss: 1.7367 2022/08/03 04:37:11 - mmengine - INFO - Epoch(train) [95][560/1879] lr: 1.0000e-02 eta: 1 day, 0:01:34 time: 0.2816 data_time: 0.0202 memory: 8198 grad_norm: 5.3601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6717 loss: 1.6717 2022/08/03 04:37:17 - mmengine - INFO - Epoch(train) [95][580/1879] lr: 1.0000e-02 eta: 1 day, 0:01:29 time: 0.2836 data_time: 0.0252 memory: 8198 grad_norm: 5.5671 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6929 loss: 1.6929 2022/08/03 04:37:22 - mmengine - INFO - Epoch(train) [95][600/1879] lr: 1.0000e-02 eta: 1 day, 0:01:23 time: 0.2817 data_time: 0.0194 memory: 8198 grad_norm: 5.5497 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5004 loss: 1.5004 2022/08/03 04:37:28 - mmengine - INFO - Epoch(train) [95][620/1879] lr: 1.0000e-02 eta: 1 day, 0:01:18 time: 0.2944 data_time: 0.0234 memory: 8198 grad_norm: 5.4164 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4915 loss: 1.4915 2022/08/03 04:37:34 - mmengine - INFO - Epoch(train) [95][640/1879] lr: 1.0000e-02 eta: 1 day, 0:01:12 time: 0.2826 data_time: 0.0208 memory: 8198 grad_norm: 5.5709 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6622 loss: 1.6622 2022/08/03 04:37:40 - mmengine - INFO - Epoch(train) [95][660/1879] lr: 1.0000e-02 eta: 1 day, 0:01:06 time: 0.2845 data_time: 0.0245 memory: 8198 grad_norm: 5.4758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6002 loss: 1.6002 2022/08/03 04:37:46 - mmengine - INFO - Epoch(train) [95][680/1879] lr: 1.0000e-02 eta: 1 day, 0:01:01 time: 0.2916 data_time: 0.0324 memory: 8198 grad_norm: 5.3602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6823 loss: 1.6823 2022/08/03 04:37:51 - mmengine - INFO - Epoch(train) [95][700/1879] lr: 1.0000e-02 eta: 1 day, 0:00:55 time: 0.2857 data_time: 0.0267 memory: 8198 grad_norm: 5.2634 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5410 loss: 1.5410 2022/08/03 04:37:57 - mmengine - INFO - Epoch(train) [95][720/1879] lr: 1.0000e-02 eta: 1 day, 0:00:49 time: 0.2829 data_time: 0.0230 memory: 8198 grad_norm: 5.3236 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5363 loss: 1.5363 2022/08/03 04:38:03 - mmengine - INFO - Epoch(train) [95][740/1879] lr: 1.0000e-02 eta: 1 day, 0:00:43 time: 0.2821 data_time: 0.0254 memory: 8198 grad_norm: 5.5915 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4657 loss: 1.4657 2022/08/03 04:38:08 - mmengine - INFO - Epoch(train) [95][760/1879] lr: 1.0000e-02 eta: 1 day, 0:00:38 time: 0.2831 data_time: 0.0246 memory: 8198 grad_norm: 5.4214 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8573 loss: 1.8573 2022/08/03 04:38:14 - mmengine - INFO - Epoch(train) [95][780/1879] lr: 1.0000e-02 eta: 1 day, 0:00:32 time: 0.2853 data_time: 0.0260 memory: 8198 grad_norm: 5.5983 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/08/03 04:38:20 - mmengine - INFO - Epoch(train) [95][800/1879] lr: 1.0000e-02 eta: 1 day, 0:00:26 time: 0.2876 data_time: 0.0205 memory: 8198 grad_norm: 5.5109 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7676 loss: 1.7676 2022/08/03 04:38:25 - mmengine - INFO - Epoch(train) [95][820/1879] lr: 1.0000e-02 eta: 1 day, 0:00:21 time: 0.2830 data_time: 0.0231 memory: 8198 grad_norm: 5.6155 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6752 loss: 1.6752 2022/08/03 04:38:31 - mmengine - INFO - Epoch(train) [95][840/1879] lr: 1.0000e-02 eta: 1 day, 0:00:15 time: 0.2841 data_time: 0.0229 memory: 8198 grad_norm: 5.4522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6198 loss: 1.6198 2022/08/03 04:38:37 - mmengine - INFO - Epoch(train) [95][860/1879] lr: 1.0000e-02 eta: 1 day, 0:00:09 time: 0.2878 data_time: 0.0248 memory: 8198 grad_norm: 5.4487 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3999 loss: 1.3999 2022/08/03 04:38:43 - mmengine - INFO - Epoch(train) [95][880/1879] lr: 1.0000e-02 eta: 1 day, 0:00:04 time: 0.2822 data_time: 0.0212 memory: 8198 grad_norm: 5.2983 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5760 loss: 1.5760 2022/08/03 04:38:48 - mmengine - INFO - Epoch(train) [95][900/1879] lr: 1.0000e-02 eta: 23:59:58 time: 0.2836 data_time: 0.0246 memory: 8198 grad_norm: 5.4434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/08/03 04:38:54 - mmengine - INFO - Epoch(train) [95][920/1879] lr: 1.0000e-02 eta: 23:59:52 time: 0.2877 data_time: 0.0254 memory: 8198 grad_norm: 5.6146 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9290 loss: 1.9290 2022/08/03 04:39:00 - mmengine - INFO - Epoch(train) [95][940/1879] lr: 1.0000e-02 eta: 23:59:47 time: 0.2836 data_time: 0.0226 memory: 8198 grad_norm: 5.6730 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7252 loss: 1.7252 2022/08/03 04:39:06 - mmengine - INFO - Epoch(train) [95][960/1879] lr: 1.0000e-02 eta: 23:59:41 time: 0.2963 data_time: 0.0225 memory: 8198 grad_norm: 5.4673 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6650 loss: 1.6650 2022/08/03 04:39:11 - mmengine - INFO - Epoch(train) [95][980/1879] lr: 1.0000e-02 eta: 23:59:35 time: 0.2810 data_time: 0.0238 memory: 8198 grad_norm: 5.4132 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9054 loss: 1.9054 2022/08/03 04:39:17 - mmengine - INFO - Epoch(train) [95][1000/1879] lr: 1.0000e-02 eta: 23:59:30 time: 0.2888 data_time: 0.0251 memory: 8198 grad_norm: 5.3351 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4915 loss: 1.4915 2022/08/03 04:39:23 - mmengine - INFO - Epoch(train) [95][1020/1879] lr: 1.0000e-02 eta: 23:59:24 time: 0.2811 data_time: 0.0251 memory: 8198 grad_norm: 5.3237 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5667 loss: 1.5667 2022/08/03 04:39:28 - mmengine - INFO - Epoch(train) [95][1040/1879] lr: 1.0000e-02 eta: 23:59:18 time: 0.2849 data_time: 0.0231 memory: 8198 grad_norm: 5.4856 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4975 loss: 1.4975 2022/08/03 04:39:34 - mmengine - INFO - Epoch(train) [95][1060/1879] lr: 1.0000e-02 eta: 23:59:13 time: 0.2858 data_time: 0.0253 memory: 8198 grad_norm: 5.5097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6953 loss: 1.6953 2022/08/03 04:39:40 - mmengine - INFO - Epoch(train) [95][1080/1879] lr: 1.0000e-02 eta: 23:59:07 time: 0.2889 data_time: 0.0245 memory: 8198 grad_norm: 5.6098 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7587 loss: 1.7587 2022/08/03 04:39:46 - mmengine - INFO - Epoch(train) [95][1100/1879] lr: 1.0000e-02 eta: 23:59:02 time: 0.2899 data_time: 0.0232 memory: 8198 grad_norm: 5.5675 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4054 loss: 1.4054 2022/08/03 04:39:51 - mmengine - INFO - Epoch(train) [95][1120/1879] lr: 1.0000e-02 eta: 23:58:56 time: 0.2798 data_time: 0.0227 memory: 8198 grad_norm: 5.3166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5166 loss: 1.5166 2022/08/03 04:39:57 - mmengine - INFO - Epoch(train) [95][1140/1879] lr: 1.0000e-02 eta: 23:58:50 time: 0.2929 data_time: 0.0253 memory: 8198 grad_norm: 5.4295 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7538 loss: 1.7538 2022/08/03 04:40:03 - mmengine - INFO - Epoch(train) [95][1160/1879] lr: 1.0000e-02 eta: 23:58:45 time: 0.2820 data_time: 0.0231 memory: 8198 grad_norm: 5.5323 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5886 loss: 1.5886 2022/08/03 04:40:09 - mmengine - INFO - Epoch(train) [95][1180/1879] lr: 1.0000e-02 eta: 23:58:40 time: 0.3060 data_time: 0.0245 memory: 8198 grad_norm: 5.5761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6164 loss: 1.6164 2022/08/03 04:40:15 - mmengine - INFO - Epoch(train) [95][1200/1879] lr: 1.0000e-02 eta: 23:58:34 time: 0.2791 data_time: 0.0201 memory: 8198 grad_norm: 5.5402 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5070 loss: 1.5070 2022/08/03 04:40:21 - mmengine - INFO - Epoch(train) [95][1220/1879] lr: 1.0000e-02 eta: 23:58:28 time: 0.2907 data_time: 0.0327 memory: 8198 grad_norm: 5.4944 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7015 loss: 1.7015 2022/08/03 04:40:26 - mmengine - INFO - Epoch(train) [95][1240/1879] lr: 1.0000e-02 eta: 23:58:23 time: 0.2852 data_time: 0.0238 memory: 8198 grad_norm: 5.3300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7251 loss: 1.7251 2022/08/03 04:40:32 - mmengine - INFO - Epoch(train) [95][1260/1879] lr: 1.0000e-02 eta: 23:58:17 time: 0.2834 data_time: 0.0215 memory: 8198 grad_norm: 5.2631 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6240 loss: 1.6240 2022/08/03 04:40:38 - mmengine - INFO - Epoch(train) [95][1280/1879] lr: 1.0000e-02 eta: 23:58:11 time: 0.2894 data_time: 0.0200 memory: 8198 grad_norm: 5.4790 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6662 loss: 1.6662 2022/08/03 04:40:43 - mmengine - INFO - Epoch(train) [95][1300/1879] lr: 1.0000e-02 eta: 23:58:06 time: 0.2862 data_time: 0.0251 memory: 8198 grad_norm: 5.4815 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6073 loss: 1.6073 2022/08/03 04:40:49 - mmengine - INFO - Epoch(train) [95][1320/1879] lr: 1.0000e-02 eta: 23:58:00 time: 0.2821 data_time: 0.0195 memory: 8198 grad_norm: 5.3314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5928 loss: 1.5928 2022/08/03 04:40:55 - mmengine - INFO - Epoch(train) [95][1340/1879] lr: 1.0000e-02 eta: 23:57:54 time: 0.2847 data_time: 0.0260 memory: 8198 grad_norm: 5.4848 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7972 loss: 1.7972 2022/08/03 04:41:01 - mmengine - INFO - Epoch(train) [95][1360/1879] lr: 1.0000e-02 eta: 23:57:49 time: 0.2894 data_time: 0.0212 memory: 8198 grad_norm: 5.4927 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6211 loss: 1.6211 2022/08/03 04:41:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:41:06 - mmengine - INFO - Epoch(train) [95][1380/1879] lr: 1.0000e-02 eta: 23:57:43 time: 0.2838 data_time: 0.0237 memory: 8198 grad_norm: 5.3938 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4439 loss: 1.4439 2022/08/03 04:41:12 - mmengine - INFO - Epoch(train) [95][1400/1879] lr: 1.0000e-02 eta: 23:57:37 time: 0.2886 data_time: 0.0229 memory: 8198 grad_norm: 5.4948 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7460 loss: 1.7460 2022/08/03 04:41:18 - mmengine - INFO - Epoch(train) [95][1420/1879] lr: 1.0000e-02 eta: 23:57:32 time: 0.2842 data_time: 0.0244 memory: 8198 grad_norm: 5.4946 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4996 loss: 1.4996 2022/08/03 04:41:24 - mmengine - INFO - Epoch(train) [95][1440/1879] lr: 1.0000e-02 eta: 23:57:26 time: 0.2865 data_time: 0.0256 memory: 8198 grad_norm: 5.5397 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5868 loss: 1.5868 2022/08/03 04:41:29 - mmengine - INFO - Epoch(train) [95][1460/1879] lr: 1.0000e-02 eta: 23:57:20 time: 0.2845 data_time: 0.0240 memory: 8198 grad_norm: 5.3713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6551 loss: 1.6551 2022/08/03 04:41:35 - mmengine - INFO - Epoch(train) [95][1480/1879] lr: 1.0000e-02 eta: 23:57:15 time: 0.2816 data_time: 0.0230 memory: 8198 grad_norm: 5.5411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6034 loss: 1.6034 2022/08/03 04:41:41 - mmengine - INFO - Epoch(train) [95][1500/1879] lr: 1.0000e-02 eta: 23:57:09 time: 0.2841 data_time: 0.0216 memory: 8198 grad_norm: 5.5598 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6637 loss: 1.6637 2022/08/03 04:41:46 - mmengine - INFO - Epoch(train) [95][1520/1879] lr: 1.0000e-02 eta: 23:57:03 time: 0.2876 data_time: 0.0172 memory: 8198 grad_norm: 5.4686 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6206 loss: 1.6206 2022/08/03 04:41:52 - mmengine - INFO - Epoch(train) [95][1540/1879] lr: 1.0000e-02 eta: 23:56:58 time: 0.2860 data_time: 0.0249 memory: 8198 grad_norm: 5.4812 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8744 loss: 1.8744 2022/08/03 04:41:58 - mmengine - INFO - Epoch(train) [95][1560/1879] lr: 1.0000e-02 eta: 23:56:52 time: 0.2813 data_time: 0.0178 memory: 8198 grad_norm: 5.6067 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7154 loss: 1.7154 2022/08/03 04:42:03 - mmengine - INFO - Epoch(train) [95][1580/1879] lr: 1.0000e-02 eta: 23:56:46 time: 0.2822 data_time: 0.0240 memory: 8198 grad_norm: 5.4366 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7495 loss: 1.7495 2022/08/03 04:42:09 - mmengine - INFO - Epoch(train) [95][1600/1879] lr: 1.0000e-02 eta: 23:56:40 time: 0.2833 data_time: 0.0198 memory: 8198 grad_norm: 5.5128 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5624 loss: 1.5624 2022/08/03 04:42:15 - mmengine - INFO - Epoch(train) [95][1620/1879] lr: 1.0000e-02 eta: 23:56:35 time: 0.2861 data_time: 0.0267 memory: 8198 grad_norm: 5.6124 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6492 loss: 1.6492 2022/08/03 04:42:21 - mmengine - INFO - Epoch(train) [95][1640/1879] lr: 1.0000e-02 eta: 23:56:29 time: 0.2883 data_time: 0.0248 memory: 8198 grad_norm: 5.4473 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5205 loss: 1.5205 2022/08/03 04:42:26 - mmengine - INFO - Epoch(train) [95][1660/1879] lr: 1.0000e-02 eta: 23:56:23 time: 0.2824 data_time: 0.0218 memory: 8198 grad_norm: 5.5114 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8001 loss: 1.8001 2022/08/03 04:42:32 - mmengine - INFO - Epoch(train) [95][1680/1879] lr: 1.0000e-02 eta: 23:56:18 time: 0.2841 data_time: 0.0257 memory: 8198 grad_norm: 5.5317 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6218 loss: 1.6218 2022/08/03 04:42:38 - mmengine - INFO - Epoch(train) [95][1700/1879] lr: 1.0000e-02 eta: 23:56:12 time: 0.2836 data_time: 0.0222 memory: 8198 grad_norm: 5.3873 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6907 loss: 1.6907 2022/08/03 04:42:43 - mmengine - INFO - Epoch(train) [95][1720/1879] lr: 1.0000e-02 eta: 23:56:06 time: 0.2849 data_time: 0.0245 memory: 8198 grad_norm: 5.4260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6078 loss: 1.6078 2022/08/03 04:42:49 - mmengine - INFO - Epoch(train) [95][1740/1879] lr: 1.0000e-02 eta: 23:56:00 time: 0.2854 data_time: 0.0219 memory: 8198 grad_norm: 5.3517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6205 loss: 1.6205 2022/08/03 04:42:55 - mmengine - INFO - Epoch(train) [95][1760/1879] lr: 1.0000e-02 eta: 23:55:55 time: 0.2834 data_time: 0.0221 memory: 8198 grad_norm: 5.4147 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6991 loss: 1.6991 2022/08/03 04:43:00 - mmengine - INFO - Epoch(train) [95][1780/1879] lr: 1.0000e-02 eta: 23:55:49 time: 0.2851 data_time: 0.0237 memory: 8198 grad_norm: 5.5275 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3954 loss: 1.3954 2022/08/03 04:43:06 - mmengine - INFO - Epoch(train) [95][1800/1879] lr: 1.0000e-02 eta: 23:55:44 time: 0.2921 data_time: 0.0201 memory: 8198 grad_norm: 5.4321 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6342 loss: 1.6342 2022/08/03 04:43:12 - mmengine - INFO - Epoch(train) [95][1820/1879] lr: 1.0000e-02 eta: 23:55:38 time: 0.2829 data_time: 0.0317 memory: 8198 grad_norm: 5.4720 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6363 loss: 1.6363 2022/08/03 04:43:18 - mmengine - INFO - Epoch(train) [95][1840/1879] lr: 1.0000e-02 eta: 23:55:32 time: 0.2884 data_time: 0.0262 memory: 8198 grad_norm: 5.4768 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6738 loss: 1.6738 2022/08/03 04:43:23 - mmengine - INFO - Epoch(train) [95][1860/1879] lr: 1.0000e-02 eta: 23:55:27 time: 0.2830 data_time: 0.0228 memory: 8198 grad_norm: 5.4170 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5281 loss: 1.5281 2022/08/03 04:43:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:43:28 - mmengine - INFO - Epoch(train) [95][1879/1879] lr: 1.0000e-02 eta: 23:55:27 time: 0.2536 data_time: 0.0141 memory: 8198 grad_norm: 5.6131 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6807 loss: 1.6807 2022/08/03 04:43:35 - mmengine - INFO - Epoch(val) [95][20/155] eta: 0:00:44 time: 0.3307 data_time: 0.2378 memory: 1514 2022/08/03 04:43:40 - mmengine - INFO - Epoch(val) [95][40/155] eta: 0:00:27 time: 0.2430 data_time: 0.1573 memory: 1514 2022/08/03 04:43:46 - mmengine - INFO - Epoch(val) [95][60/155] eta: 0:00:26 time: 0.2834 data_time: 0.1977 memory: 1514 2022/08/03 04:43:51 - mmengine - INFO - Epoch(val) [95][80/155] eta: 0:00:19 time: 0.2662 data_time: 0.1797 memory: 1514 2022/08/03 04:43:56 - mmengine - INFO - Epoch(val) [95][100/155] eta: 0:00:14 time: 0.2652 data_time: 0.1789 memory: 1514 2022/08/03 04:44:01 - mmengine - INFO - Epoch(val) [95][120/155] eta: 0:00:08 time: 0.2473 data_time: 0.1623 memory: 1514 2022/08/03 04:44:07 - mmengine - INFO - Epoch(val) [95][140/155] eta: 0:00:04 time: 0.3148 data_time: 0.2267 memory: 1514 2022/08/03 04:44:12 - mmengine - INFO - Epoch(val) [95][155/155] acc/top1: 0.6334 acc/top5: 0.8479 acc/mean1: 0.6333 2022/08/03 04:44:20 - mmengine - INFO - Epoch(train) [96][20/1879] lr: 1.0000e-02 eta: 23:55:10 time: 0.4059 data_time: 0.1025 memory: 8198 grad_norm: 5.4769 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4834 loss: 1.4834 2022/08/03 04:44:26 - mmengine - INFO - Epoch(train) [96][40/1879] lr: 1.0000e-02 eta: 23:55:05 time: 0.2907 data_time: 0.0207 memory: 8198 grad_norm: 5.5740 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5688 loss: 1.5688 2022/08/03 04:44:32 - mmengine - INFO - Epoch(train) [96][60/1879] lr: 1.0000e-02 eta: 23:54:59 time: 0.2900 data_time: 0.0195 memory: 8198 grad_norm: 5.1759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7129 loss: 1.7129 2022/08/03 04:44:38 - mmengine - INFO - Epoch(train) [96][80/1879] lr: 1.0000e-02 eta: 23:54:54 time: 0.2888 data_time: 0.0212 memory: 8198 grad_norm: 5.4058 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5565 loss: 1.5565 2022/08/03 04:44:43 - mmengine - INFO - Epoch(train) [96][100/1879] lr: 1.0000e-02 eta: 23:54:48 time: 0.2848 data_time: 0.0228 memory: 8198 grad_norm: 5.4046 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4807 loss: 1.4807 2022/08/03 04:44:49 - mmengine - INFO - Epoch(train) [96][120/1879] lr: 1.0000e-02 eta: 23:54:42 time: 0.2845 data_time: 0.0245 memory: 8198 grad_norm: 5.4857 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6165 loss: 1.6165 2022/08/03 04:44:55 - mmengine - INFO - Epoch(train) [96][140/1879] lr: 1.0000e-02 eta: 23:54:37 time: 0.2864 data_time: 0.0242 memory: 8198 grad_norm: 5.4681 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8190 loss: 1.8190 2022/08/03 04:45:00 - mmengine - INFO - Epoch(train) [96][160/1879] lr: 1.0000e-02 eta: 23:54:31 time: 0.2817 data_time: 0.0244 memory: 8198 grad_norm: 5.6890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7213 loss: 1.7213 2022/08/03 04:45:06 - mmengine - INFO - Epoch(train) [96][180/1879] lr: 1.0000e-02 eta: 23:54:25 time: 0.2864 data_time: 0.0242 memory: 8198 grad_norm: 5.3558 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5897 loss: 1.5897 2022/08/03 04:45:12 - mmengine - INFO - Epoch(train) [96][200/1879] lr: 1.0000e-02 eta: 23:54:20 time: 0.2836 data_time: 0.0230 memory: 8198 grad_norm: 5.2942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5187 loss: 1.5187 2022/08/03 04:45:18 - mmengine - INFO - Epoch(train) [96][220/1879] lr: 1.0000e-02 eta: 23:54:14 time: 0.2865 data_time: 0.0222 memory: 8198 grad_norm: 5.4807 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5433 loss: 1.5433 2022/08/03 04:45:23 - mmengine - INFO - Epoch(train) [96][240/1879] lr: 1.0000e-02 eta: 23:54:08 time: 0.2821 data_time: 0.0255 memory: 8198 grad_norm: 5.6186 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4384 loss: 1.4384 2022/08/03 04:45:29 - mmengine - INFO - Epoch(train) [96][260/1879] lr: 1.0000e-02 eta: 23:54:03 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 5.5076 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5927 loss: 1.5927 2022/08/03 04:45:35 - mmengine - INFO - Epoch(train) [96][280/1879] lr: 1.0000e-02 eta: 23:53:57 time: 0.2813 data_time: 0.0190 memory: 8198 grad_norm: 5.3619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5653 loss: 1.5653 2022/08/03 04:45:40 - mmengine - INFO - Epoch(train) [96][300/1879] lr: 1.0000e-02 eta: 23:53:51 time: 0.2876 data_time: 0.0218 memory: 8198 grad_norm: 5.3878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7617 loss: 1.7617 2022/08/03 04:45:46 - mmengine - INFO - Epoch(train) [96][320/1879] lr: 1.0000e-02 eta: 23:53:46 time: 0.2900 data_time: 0.0273 memory: 8198 grad_norm: 5.4344 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5986 loss: 1.5986 2022/08/03 04:45:52 - mmengine - INFO - Epoch(train) [96][340/1879] lr: 1.0000e-02 eta: 23:53:40 time: 0.2813 data_time: 0.0243 memory: 8198 grad_norm: 5.4899 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5320 loss: 1.5320 2022/08/03 04:45:58 - mmengine - INFO - Epoch(train) [96][360/1879] lr: 1.0000e-02 eta: 23:53:34 time: 0.2832 data_time: 0.0186 memory: 8198 grad_norm: 5.4851 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6360 loss: 1.6360 2022/08/03 04:46:03 - mmengine - INFO - Epoch(train) [96][380/1879] lr: 1.0000e-02 eta: 23:53:28 time: 0.2799 data_time: 0.0205 memory: 8198 grad_norm: 5.4227 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7249 loss: 1.7249 2022/08/03 04:46:09 - mmengine - INFO - Epoch(train) [96][400/1879] lr: 1.0000e-02 eta: 23:53:23 time: 0.2914 data_time: 0.0237 memory: 8198 grad_norm: 5.6625 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7760 loss: 1.7760 2022/08/03 04:46:15 - mmengine - INFO - Epoch(train) [96][420/1879] lr: 1.0000e-02 eta: 23:53:17 time: 0.2851 data_time: 0.0238 memory: 8198 grad_norm: 5.4872 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5901 loss: 1.5901 2022/08/03 04:46:20 - mmengine - INFO - Epoch(train) [96][440/1879] lr: 1.0000e-02 eta: 23:53:11 time: 0.2861 data_time: 0.0207 memory: 8198 grad_norm: 5.4380 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7659 loss: 1.7659 2022/08/03 04:46:26 - mmengine - INFO - Epoch(train) [96][460/1879] lr: 1.0000e-02 eta: 23:53:06 time: 0.2880 data_time: 0.0278 memory: 8198 grad_norm: 5.5829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5124 loss: 1.5124 2022/08/03 04:46:32 - mmengine - INFO - Epoch(train) [96][480/1879] lr: 1.0000e-02 eta: 23:53:00 time: 0.2821 data_time: 0.0225 memory: 8198 grad_norm: 5.4429 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4414 loss: 1.4414 2022/08/03 04:46:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:46:38 - mmengine - INFO - Epoch(train) [96][500/1879] lr: 1.0000e-02 eta: 23:52:55 time: 0.2886 data_time: 0.0262 memory: 8198 grad_norm: 5.6050 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5322 loss: 1.5322 2022/08/03 04:46:43 - mmengine - INFO - Epoch(train) [96][520/1879] lr: 1.0000e-02 eta: 23:52:49 time: 0.2813 data_time: 0.0224 memory: 8198 grad_norm: 5.4852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7893 loss: 1.7893 2022/08/03 04:46:49 - mmengine - INFO - Epoch(train) [96][540/1879] lr: 1.0000e-02 eta: 23:52:43 time: 0.2841 data_time: 0.0251 memory: 8198 grad_norm: 5.3233 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5761 loss: 1.5761 2022/08/03 04:46:55 - mmengine - INFO - Epoch(train) [96][560/1879] lr: 1.0000e-02 eta: 23:52:37 time: 0.2871 data_time: 0.0259 memory: 8198 grad_norm: 5.3670 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6607 loss: 1.6607 2022/08/03 04:47:01 - mmengine - INFO - Epoch(train) [96][580/1879] lr: 1.0000e-02 eta: 23:52:32 time: 0.2890 data_time: 0.0204 memory: 8198 grad_norm: 5.6010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7761 loss: 1.7761 2022/08/03 04:47:06 - mmengine - INFO - Epoch(train) [96][600/1879] lr: 1.0000e-02 eta: 23:52:26 time: 0.2887 data_time: 0.0208 memory: 8198 grad_norm: 5.3389 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5058 loss: 1.5058 2022/08/03 04:47:12 - mmengine - INFO - Epoch(train) [96][620/1879] lr: 1.0000e-02 eta: 23:52:20 time: 0.2815 data_time: 0.0204 memory: 8198 grad_norm: 5.3954 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8273 loss: 1.8273 2022/08/03 04:47:18 - mmengine - INFO - Epoch(train) [96][640/1879] lr: 1.0000e-02 eta: 23:52:15 time: 0.2895 data_time: 0.0197 memory: 8198 grad_norm: 5.3653 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5292 loss: 1.5292 2022/08/03 04:47:23 - mmengine - INFO - Epoch(train) [96][660/1879] lr: 1.0000e-02 eta: 23:52:09 time: 0.2845 data_time: 0.0225 memory: 8198 grad_norm: 5.3578 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6869 loss: 1.6869 2022/08/03 04:47:29 - mmengine - INFO - Epoch(train) [96][680/1879] lr: 1.0000e-02 eta: 23:52:04 time: 0.2832 data_time: 0.0219 memory: 8198 grad_norm: 5.4261 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5756 loss: 1.5756 2022/08/03 04:47:35 - mmengine - INFO - Epoch(train) [96][700/1879] lr: 1.0000e-02 eta: 23:51:58 time: 0.2814 data_time: 0.0182 memory: 8198 grad_norm: 5.4380 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6879 loss: 1.6879 2022/08/03 04:47:40 - mmengine - INFO - Epoch(train) [96][720/1879] lr: 1.0000e-02 eta: 23:51:52 time: 0.2830 data_time: 0.0214 memory: 8198 grad_norm: 5.4316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5927 loss: 1.5927 2022/08/03 04:47:46 - mmengine - INFO - Epoch(train) [96][740/1879] lr: 1.0000e-02 eta: 23:51:46 time: 0.2910 data_time: 0.0262 memory: 8198 grad_norm: 5.4650 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7666 loss: 1.7666 2022/08/03 04:47:52 - mmengine - INFO - Epoch(train) [96][760/1879] lr: 1.0000e-02 eta: 23:51:41 time: 0.2822 data_time: 0.0231 memory: 8198 grad_norm: 5.5485 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5565 loss: 1.5565 2022/08/03 04:47:58 - mmengine - INFO - Epoch(train) [96][780/1879] lr: 1.0000e-02 eta: 23:51:35 time: 0.2835 data_time: 0.0251 memory: 8198 grad_norm: 5.5580 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6927 loss: 1.6927 2022/08/03 04:48:03 - mmengine - INFO - Epoch(train) [96][800/1879] lr: 1.0000e-02 eta: 23:51:29 time: 0.2844 data_time: 0.0212 memory: 8198 grad_norm: 5.5017 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7189 loss: 1.7189 2022/08/03 04:48:09 - mmengine - INFO - Epoch(train) [96][820/1879] lr: 1.0000e-02 eta: 23:51:24 time: 0.2859 data_time: 0.0193 memory: 8198 grad_norm: 5.3705 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5813 loss: 1.5813 2022/08/03 04:48:15 - mmengine - INFO - Epoch(train) [96][840/1879] lr: 1.0000e-02 eta: 23:51:18 time: 0.2814 data_time: 0.0213 memory: 8198 grad_norm: 5.4014 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4597 loss: 1.4597 2022/08/03 04:48:20 - mmengine - INFO - Epoch(train) [96][860/1879] lr: 1.0000e-02 eta: 23:51:12 time: 0.2852 data_time: 0.0242 memory: 8198 grad_norm: 5.3667 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/08/03 04:48:26 - mmengine - INFO - Epoch(train) [96][880/1879] lr: 1.0000e-02 eta: 23:51:06 time: 0.2846 data_time: 0.0246 memory: 8198 grad_norm: 5.6001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5098 loss: 1.5098 2022/08/03 04:48:32 - mmengine - INFO - Epoch(train) [96][900/1879] lr: 1.0000e-02 eta: 23:51:01 time: 0.2832 data_time: 0.0260 memory: 8198 grad_norm: 5.5236 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5445 loss: 1.5445 2022/08/03 04:48:38 - mmengine - INFO - Epoch(train) [96][920/1879] lr: 1.0000e-02 eta: 23:50:55 time: 0.2851 data_time: 0.0233 memory: 8198 grad_norm: 5.6054 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7157 loss: 1.7157 2022/08/03 04:48:43 - mmengine - INFO - Epoch(train) [96][940/1879] lr: 1.0000e-02 eta: 23:50:49 time: 0.2854 data_time: 0.0227 memory: 8198 grad_norm: 5.5198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5753 loss: 1.5753 2022/08/03 04:48:49 - mmengine - INFO - Epoch(train) [96][960/1879] lr: 1.0000e-02 eta: 23:50:44 time: 0.2833 data_time: 0.0222 memory: 8198 grad_norm: 5.4916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/08/03 04:48:55 - mmengine - INFO - Epoch(train) [96][980/1879] lr: 1.0000e-02 eta: 23:50:38 time: 0.2844 data_time: 0.0241 memory: 8198 grad_norm: 5.4041 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7796 loss: 1.7796 2022/08/03 04:49:00 - mmengine - INFO - Epoch(train) [96][1000/1879] lr: 1.0000e-02 eta: 23:50:32 time: 0.2838 data_time: 0.0245 memory: 8198 grad_norm: 5.5223 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7004 loss: 1.7004 2022/08/03 04:49:06 - mmengine - INFO - Epoch(train) [96][1020/1879] lr: 1.0000e-02 eta: 23:50:26 time: 0.2825 data_time: 0.0230 memory: 8198 grad_norm: 5.3963 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8549 loss: 1.8549 2022/08/03 04:49:12 - mmengine - INFO - Epoch(train) [96][1040/1879] lr: 1.0000e-02 eta: 23:50:21 time: 0.2860 data_time: 0.0232 memory: 8198 grad_norm: 5.3981 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7497 loss: 1.7497 2022/08/03 04:49:18 - mmengine - INFO - Epoch(train) [96][1060/1879] lr: 1.0000e-02 eta: 23:50:15 time: 0.2860 data_time: 0.0301 memory: 8198 grad_norm: 5.4340 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7382 loss: 1.7382 2022/08/03 04:49:23 - mmengine - INFO - Epoch(train) [96][1080/1879] lr: 1.0000e-02 eta: 23:50:09 time: 0.2848 data_time: 0.0224 memory: 8198 grad_norm: 5.3276 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6128 loss: 1.6128 2022/08/03 04:49:29 - mmengine - INFO - Epoch(train) [96][1100/1879] lr: 1.0000e-02 eta: 23:50:04 time: 0.2852 data_time: 0.0269 memory: 8198 grad_norm: 5.4823 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8639 loss: 1.8639 2022/08/03 04:49:35 - mmengine - INFO - Epoch(train) [96][1120/1879] lr: 1.0000e-02 eta: 23:49:58 time: 0.2819 data_time: 0.0230 memory: 8198 grad_norm: 5.4934 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/08/03 04:49:40 - mmengine - INFO - Epoch(train) [96][1140/1879] lr: 1.0000e-02 eta: 23:49:52 time: 0.2849 data_time: 0.0268 memory: 8198 grad_norm: 5.2476 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5370 loss: 1.5370 2022/08/03 04:49:46 - mmengine - INFO - Epoch(train) [96][1160/1879] lr: 1.0000e-02 eta: 23:49:47 time: 0.2855 data_time: 0.0248 memory: 8198 grad_norm: 5.4198 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6417 loss: 1.6417 2022/08/03 04:49:52 - mmengine - INFO - Epoch(train) [96][1180/1879] lr: 1.0000e-02 eta: 23:49:41 time: 0.2868 data_time: 0.0283 memory: 8198 grad_norm: 5.3825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6858 loss: 1.6858 2022/08/03 04:49:57 - mmengine - INFO - Epoch(train) [96][1200/1879] lr: 1.0000e-02 eta: 23:49:35 time: 0.2812 data_time: 0.0199 memory: 8198 grad_norm: 5.5417 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5677 loss: 1.5677 2022/08/03 04:50:03 - mmengine - INFO - Epoch(train) [96][1220/1879] lr: 1.0000e-02 eta: 23:49:29 time: 0.2821 data_time: 0.0215 memory: 8198 grad_norm: 5.4103 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8084 loss: 1.8084 2022/08/03 04:50:09 - mmengine - INFO - Epoch(train) [96][1240/1879] lr: 1.0000e-02 eta: 23:49:24 time: 0.2911 data_time: 0.0231 memory: 8198 grad_norm: 5.5357 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7582 loss: 1.7582 2022/08/03 04:50:15 - mmengine - INFO - Epoch(train) [96][1260/1879] lr: 1.0000e-02 eta: 23:49:18 time: 0.2848 data_time: 0.0244 memory: 8198 grad_norm: 5.3348 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5590 loss: 1.5590 2022/08/03 04:50:20 - mmengine - INFO - Epoch(train) [96][1280/1879] lr: 1.0000e-02 eta: 23:49:12 time: 0.2807 data_time: 0.0181 memory: 8198 grad_norm: 5.4361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7521 loss: 1.7521 2022/08/03 04:50:26 - mmengine - INFO - Epoch(train) [96][1300/1879] lr: 1.0000e-02 eta: 23:49:07 time: 0.2850 data_time: 0.0220 memory: 8198 grad_norm: 5.6841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4626 loss: 1.4626 2022/08/03 04:50:32 - mmengine - INFO - Epoch(train) [96][1320/1879] lr: 1.0000e-02 eta: 23:49:01 time: 0.2954 data_time: 0.0194 memory: 8198 grad_norm: 5.5347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5684 loss: 1.5684 2022/08/03 04:50:38 - mmengine - INFO - Epoch(train) [96][1340/1879] lr: 1.0000e-02 eta: 23:48:56 time: 0.2799 data_time: 0.0208 memory: 8198 grad_norm: 5.5052 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8836 loss: 1.8836 2022/08/03 04:50:43 - mmengine - INFO - Epoch(train) [96][1360/1879] lr: 1.0000e-02 eta: 23:48:50 time: 0.2849 data_time: 0.0234 memory: 8198 grad_norm: 5.5245 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6087 loss: 1.6087 2022/08/03 04:50:49 - mmengine - INFO - Epoch(train) [96][1380/1879] lr: 1.0000e-02 eta: 23:48:44 time: 0.2836 data_time: 0.0205 memory: 8198 grad_norm: 5.3151 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8784 loss: 1.8784 2022/08/03 04:50:55 - mmengine - INFO - Epoch(train) [96][1400/1879] lr: 1.0000e-02 eta: 23:48:38 time: 0.2830 data_time: 0.0221 memory: 8198 grad_norm: 5.2882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6001 loss: 1.6001 2022/08/03 04:51:00 - mmengine - INFO - Epoch(train) [96][1420/1879] lr: 1.0000e-02 eta: 23:48:33 time: 0.2851 data_time: 0.0233 memory: 8198 grad_norm: 5.4731 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6795 loss: 1.6795 2022/08/03 04:51:06 - mmengine - INFO - Epoch(train) [96][1440/1879] lr: 1.0000e-02 eta: 23:48:27 time: 0.2808 data_time: 0.0211 memory: 8198 grad_norm: 5.6460 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5955 loss: 1.5955 2022/08/03 04:51:12 - mmengine - INFO - Epoch(train) [96][1460/1879] lr: 1.0000e-02 eta: 23:48:21 time: 0.2822 data_time: 0.0254 memory: 8198 grad_norm: 5.4129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8757 loss: 1.8757 2022/08/03 04:51:17 - mmengine - INFO - Epoch(train) [96][1480/1879] lr: 1.0000e-02 eta: 23:48:15 time: 0.2796 data_time: 0.0182 memory: 8198 grad_norm: 5.3069 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7723 loss: 1.7723 2022/08/03 04:51:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:51:23 - mmengine - INFO - Epoch(train) [96][1500/1879] lr: 1.0000e-02 eta: 23:48:10 time: 0.2840 data_time: 0.0246 memory: 8198 grad_norm: 5.4124 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7434 loss: 1.7434 2022/08/03 04:51:29 - mmengine - INFO - Epoch(train) [96][1520/1879] lr: 1.0000e-02 eta: 23:48:04 time: 0.2862 data_time: 0.0210 memory: 8198 grad_norm: 5.6628 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8533 loss: 1.8533 2022/08/03 04:51:34 - mmengine - INFO - Epoch(train) [96][1540/1879] lr: 1.0000e-02 eta: 23:47:58 time: 0.2865 data_time: 0.0234 memory: 8198 grad_norm: 5.2971 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8035 loss: 1.8035 2022/08/03 04:51:40 - mmengine - INFO - Epoch(train) [96][1560/1879] lr: 1.0000e-02 eta: 23:47:52 time: 0.2780 data_time: 0.0168 memory: 8198 grad_norm: 5.5150 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8379 loss: 1.8379 2022/08/03 04:51:46 - mmengine - INFO - Epoch(train) [96][1580/1879] lr: 1.0000e-02 eta: 23:47:47 time: 0.2846 data_time: 0.0222 memory: 8198 grad_norm: 5.4116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6319 loss: 1.6319 2022/08/03 04:51:51 - mmengine - INFO - Epoch(train) [96][1600/1879] lr: 1.0000e-02 eta: 23:47:41 time: 0.2862 data_time: 0.0222 memory: 8198 grad_norm: 5.5787 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7899 loss: 1.7899 2022/08/03 04:51:57 - mmengine - INFO - Epoch(train) [96][1620/1879] lr: 1.0000e-02 eta: 23:47:35 time: 0.2840 data_time: 0.0216 memory: 8198 grad_norm: 5.4337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6550 loss: 1.6550 2022/08/03 04:52:03 - mmengine - INFO - Epoch(train) [96][1640/1879] lr: 1.0000e-02 eta: 23:47:30 time: 0.2880 data_time: 0.0233 memory: 8198 grad_norm: 5.3263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6498 loss: 1.6498 2022/08/03 04:52:09 - mmengine - INFO - Epoch(train) [96][1660/1879] lr: 1.0000e-02 eta: 23:47:24 time: 0.2818 data_time: 0.0190 memory: 8198 grad_norm: 5.4896 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6036 loss: 1.6036 2022/08/03 04:52:14 - mmengine - INFO - Epoch(train) [96][1680/1879] lr: 1.0000e-02 eta: 23:47:18 time: 0.2825 data_time: 0.0213 memory: 8198 grad_norm: 5.4188 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5937 loss: 1.5937 2022/08/03 04:52:20 - mmengine - INFO - Epoch(train) [96][1700/1879] lr: 1.0000e-02 eta: 23:47:12 time: 0.2843 data_time: 0.0254 memory: 8198 grad_norm: 5.2721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7168 loss: 1.7168 2022/08/03 04:52:26 - mmengine - INFO - Epoch(train) [96][1720/1879] lr: 1.0000e-02 eta: 23:47:07 time: 0.2813 data_time: 0.0220 memory: 8198 grad_norm: 5.4651 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6020 loss: 1.6020 2022/08/03 04:52:32 - mmengine - INFO - Epoch(train) [96][1740/1879] lr: 1.0000e-02 eta: 23:47:02 time: 0.3020 data_time: 0.0302 memory: 8198 grad_norm: 5.4685 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6869 loss: 1.6869 2022/08/03 04:52:37 - mmengine - INFO - Epoch(train) [96][1760/1879] lr: 1.0000e-02 eta: 23:46:56 time: 0.2810 data_time: 0.0262 memory: 8198 grad_norm: 5.6632 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7150 loss: 1.7150 2022/08/03 04:52:43 - mmengine - INFO - Epoch(train) [96][1780/1879] lr: 1.0000e-02 eta: 23:46:50 time: 0.2845 data_time: 0.0278 memory: 8198 grad_norm: 5.5140 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6307 loss: 1.6307 2022/08/03 04:52:49 - mmengine - INFO - Epoch(train) [96][1800/1879] lr: 1.0000e-02 eta: 23:46:44 time: 0.2859 data_time: 0.0229 memory: 8198 grad_norm: 5.4795 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6475 loss: 1.6475 2022/08/03 04:52:54 - mmengine - INFO - Epoch(train) [96][1820/1879] lr: 1.0000e-02 eta: 23:46:39 time: 0.2853 data_time: 0.0233 memory: 8198 grad_norm: 5.4041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5839 loss: 1.5839 2022/08/03 04:53:00 - mmengine - INFO - Epoch(train) [96][1840/1879] lr: 1.0000e-02 eta: 23:46:33 time: 0.2816 data_time: 0.0190 memory: 8198 grad_norm: 5.3629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6102 loss: 1.6102 2022/08/03 04:53:06 - mmengine - INFO - Epoch(train) [96][1860/1879] lr: 1.0000e-02 eta: 23:46:27 time: 0.2860 data_time: 0.0225 memory: 8198 grad_norm: 5.4369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9480 loss: 1.9480 2022/08/03 04:53:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:53:11 - mmengine - INFO - Epoch(train) [96][1879/1879] lr: 1.0000e-02 eta: 23:46:27 time: 0.2633 data_time: 0.0136 memory: 8198 grad_norm: 5.3812 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.8133 loss: 1.8133 2022/08/03 04:53:11 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/03 04:53:21 - mmengine - INFO - Epoch(train) [97][20/1879] lr: 1.0000e-02 eta: 23:46:10 time: 0.3700 data_time: 0.1130 memory: 8198 grad_norm: 5.3779 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3814 loss: 1.3814 2022/08/03 04:53:27 - mmengine - INFO - Epoch(train) [97][40/1879] lr: 1.0000e-02 eta: 23:46:04 time: 0.2859 data_time: 0.0154 memory: 8198 grad_norm: 5.3374 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7170 loss: 1.7170 2022/08/03 04:53:33 - mmengine - INFO - Epoch(train) [97][60/1879] lr: 1.0000e-02 eta: 23:45:59 time: 0.2845 data_time: 0.0207 memory: 8198 grad_norm: 5.3036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7768 loss: 1.7768 2022/08/03 04:53:38 - mmengine - INFO - Epoch(train) [97][80/1879] lr: 1.0000e-02 eta: 23:45:53 time: 0.2831 data_time: 0.0212 memory: 8198 grad_norm: 5.3755 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7551 loss: 1.7551 2022/08/03 04:53:44 - mmengine - INFO - Epoch(train) [97][100/1879] lr: 1.0000e-02 eta: 23:45:47 time: 0.2828 data_time: 0.0227 memory: 8198 grad_norm: 5.3296 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5408 loss: 1.5408 2022/08/03 04:53:50 - mmengine - INFO - Epoch(train) [97][120/1879] lr: 1.0000e-02 eta: 23:45:41 time: 0.2845 data_time: 0.0234 memory: 8198 grad_norm: 5.3921 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6076 loss: 1.6076 2022/08/03 04:53:55 - mmengine - INFO - Epoch(train) [97][140/1879] lr: 1.0000e-02 eta: 23:45:36 time: 0.2817 data_time: 0.0216 memory: 8198 grad_norm: 5.2802 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6036 loss: 1.6036 2022/08/03 04:54:01 - mmengine - INFO - Epoch(train) [97][160/1879] lr: 1.0000e-02 eta: 23:45:30 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 5.3539 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5290 loss: 1.5290 2022/08/03 04:54:07 - mmengine - INFO - Epoch(train) [97][180/1879] lr: 1.0000e-02 eta: 23:45:24 time: 0.2834 data_time: 0.0198 memory: 8198 grad_norm: 5.6048 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5633 loss: 1.5633 2022/08/03 04:54:12 - mmengine - INFO - Epoch(train) [97][200/1879] lr: 1.0000e-02 eta: 23:45:19 time: 0.2854 data_time: 0.0239 memory: 8198 grad_norm: 5.3763 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6689 loss: 1.6689 2022/08/03 04:54:18 - mmengine - INFO - Epoch(train) [97][220/1879] lr: 1.0000e-02 eta: 23:45:13 time: 0.2837 data_time: 0.0244 memory: 8198 grad_norm: 5.5786 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6799 loss: 1.6799 2022/08/03 04:54:24 - mmengine - INFO - Epoch(train) [97][240/1879] lr: 1.0000e-02 eta: 23:45:07 time: 0.2828 data_time: 0.0241 memory: 8198 grad_norm: 5.4816 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4665 loss: 1.4665 2022/08/03 04:54:30 - mmengine - INFO - Epoch(train) [97][260/1879] lr: 1.0000e-02 eta: 23:45:02 time: 0.2899 data_time: 0.0224 memory: 8198 grad_norm: 5.2682 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4812 loss: 1.4812 2022/08/03 04:54:35 - mmengine - INFO - Epoch(train) [97][280/1879] lr: 1.0000e-02 eta: 23:44:56 time: 0.2867 data_time: 0.0195 memory: 8198 grad_norm: 5.3697 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5403 loss: 1.5403 2022/08/03 04:54:41 - mmengine - INFO - Epoch(train) [97][300/1879] lr: 1.0000e-02 eta: 23:44:50 time: 0.2915 data_time: 0.0234 memory: 8198 grad_norm: 5.4771 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5675 loss: 1.5675 2022/08/03 04:54:47 - mmengine - INFO - Epoch(train) [97][320/1879] lr: 1.0000e-02 eta: 23:44:45 time: 0.2871 data_time: 0.0214 memory: 8198 grad_norm: 5.4120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6263 loss: 1.6263 2022/08/03 04:54:53 - mmengine - INFO - Epoch(train) [97][340/1879] lr: 1.0000e-02 eta: 23:44:39 time: 0.2796 data_time: 0.0213 memory: 8198 grad_norm: 5.4125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/03 04:54:58 - mmengine - INFO - Epoch(train) [97][360/1879] lr: 1.0000e-02 eta: 23:44:33 time: 0.2821 data_time: 0.0218 memory: 8198 grad_norm: 5.4274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5905 loss: 1.5905 2022/08/03 04:55:04 - mmengine - INFO - Epoch(train) [97][380/1879] lr: 1.0000e-02 eta: 23:44:28 time: 0.2926 data_time: 0.0207 memory: 8198 grad_norm: 5.4720 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6614 loss: 1.6614 2022/08/03 04:55:10 - mmengine - INFO - Epoch(train) [97][400/1879] lr: 1.0000e-02 eta: 23:44:22 time: 0.2927 data_time: 0.0215 memory: 8198 grad_norm: 5.4564 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8815 loss: 1.8815 2022/08/03 04:55:16 - mmengine - INFO - Epoch(train) [97][420/1879] lr: 1.0000e-02 eta: 23:44:17 time: 0.2840 data_time: 0.0223 memory: 8198 grad_norm: 5.5116 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3099 loss: 1.3099 2022/08/03 04:55:21 - mmengine - INFO - Epoch(train) [97][440/1879] lr: 1.0000e-02 eta: 23:44:11 time: 0.2858 data_time: 0.0188 memory: 8198 grad_norm: 5.4196 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5363 loss: 1.5363 2022/08/03 04:55:27 - mmengine - INFO - Epoch(train) [97][460/1879] lr: 1.0000e-02 eta: 23:44:05 time: 0.2828 data_time: 0.0185 memory: 8198 grad_norm: 5.4320 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7620 loss: 1.7620 2022/08/03 04:55:33 - mmengine - INFO - Epoch(train) [97][480/1879] lr: 1.0000e-02 eta: 23:43:59 time: 0.2827 data_time: 0.0273 memory: 8198 grad_norm: 5.3708 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2938 loss: 1.2938 2022/08/03 04:55:38 - mmengine - INFO - Epoch(train) [97][500/1879] lr: 1.0000e-02 eta: 23:43:54 time: 0.2815 data_time: 0.0223 memory: 8198 grad_norm: 5.4792 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7227 loss: 1.7227 2022/08/03 04:55:44 - mmengine - INFO - Epoch(train) [97][520/1879] lr: 1.0000e-02 eta: 23:43:48 time: 0.2831 data_time: 0.0250 memory: 8198 grad_norm: 5.6295 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5949 loss: 1.5949 2022/08/03 04:55:50 - mmengine - INFO - Epoch(train) [97][540/1879] lr: 1.0000e-02 eta: 23:43:42 time: 0.2846 data_time: 0.0281 memory: 8198 grad_norm: 5.4512 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6562 loss: 1.6562 2022/08/03 04:55:55 - mmengine - INFO - Epoch(train) [97][560/1879] lr: 1.0000e-02 eta: 23:43:36 time: 0.2831 data_time: 0.0214 memory: 8198 grad_norm: 5.4360 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7794 loss: 1.7794 2022/08/03 04:56:01 - mmengine - INFO - Epoch(train) [97][580/1879] lr: 1.0000e-02 eta: 23:43:31 time: 0.2855 data_time: 0.0240 memory: 8198 grad_norm: 5.6494 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6437 loss: 1.6437 2022/08/03 04:56:07 - mmengine - INFO - Epoch(train) [97][600/1879] lr: 1.0000e-02 eta: 23:43:25 time: 0.2818 data_time: 0.0217 memory: 8198 grad_norm: 5.5659 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7204 loss: 1.7204 2022/08/03 04:56:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 04:56:13 - mmengine - INFO - Epoch(train) [97][620/1879] lr: 1.0000e-02 eta: 23:43:19 time: 0.2831 data_time: 0.0257 memory: 8198 grad_norm: 5.4170 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6630 loss: 1.6630 2022/08/03 04:56:18 - mmengine - INFO - Epoch(train) [97][640/1879] lr: 1.0000e-02 eta: 23:43:14 time: 0.2943 data_time: 0.0227 memory: 8198 grad_norm: 5.5006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7280 loss: 1.7280 2022/08/03 04:56:24 - mmengine - INFO - Epoch(train) [97][660/1879] lr: 1.0000e-02 eta: 23:43:08 time: 0.2834 data_time: 0.0252 memory: 8198 grad_norm: 5.4034 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6361 loss: 1.6361 2022/08/03 04:56:30 - mmengine - INFO - Epoch(train) [97][680/1879] lr: 1.0000e-02 eta: 23:43:03 time: 0.2879 data_time: 0.0333 memory: 8198 grad_norm: 5.4755 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5883 loss: 1.5883 2022/08/03 04:56:35 - mmengine - INFO - Epoch(train) [97][700/1879] lr: 1.0000e-02 eta: 23:42:57 time: 0.2777 data_time: 0.0181 memory: 8198 grad_norm: 5.5481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7038 loss: 1.7038 2022/08/03 04:56:41 - mmengine - INFO - Epoch(train) [97][720/1879] lr: 1.0000e-02 eta: 23:42:51 time: 0.2874 data_time: 0.0271 memory: 8198 grad_norm: 5.4252 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/03 04:56:47 - mmengine - INFO - Epoch(train) [97][740/1879] lr: 1.0000e-02 eta: 23:42:45 time: 0.2825 data_time: 0.0242 memory: 8198 grad_norm: 5.4064 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5803 loss: 1.5803 2022/08/03 04:56:53 - mmengine - INFO - Epoch(train) [97][760/1879] lr: 1.0000e-02 eta: 23:42:40 time: 0.2850 data_time: 0.0229 memory: 8198 grad_norm: 5.4089 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5894 loss: 1.5894 2022/08/03 04:56:58 - mmengine - INFO - Epoch(train) [97][780/1879] lr: 1.0000e-02 eta: 23:42:34 time: 0.2863 data_time: 0.0224 memory: 8198 grad_norm: 5.3114 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3286 loss: 1.3286 2022/08/03 04:57:04 - mmengine - INFO - Epoch(train) [97][800/1879] lr: 1.0000e-02 eta: 23:42:28 time: 0.2821 data_time: 0.0239 memory: 8198 grad_norm: 5.7715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6947 loss: 1.6947 2022/08/03 04:57:10 - mmengine - INFO - Epoch(train) [97][820/1879] lr: 1.0000e-02 eta: 23:42:23 time: 0.2861 data_time: 0.0212 memory: 8198 grad_norm: 5.6230 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6037 loss: 1.6037 2022/08/03 04:57:15 - mmengine - INFO - Epoch(train) [97][840/1879] lr: 1.0000e-02 eta: 23:42:17 time: 0.2831 data_time: 0.0224 memory: 8198 grad_norm: 5.4468 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7364 loss: 1.7364 2022/08/03 04:57:21 - mmengine - INFO - Epoch(train) [97][860/1879] lr: 1.0000e-02 eta: 23:42:11 time: 0.2882 data_time: 0.0213 memory: 8198 grad_norm: 5.6187 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6603 loss: 1.6603 2022/08/03 04:57:27 - mmengine - INFO - Epoch(train) [97][880/1879] lr: 1.0000e-02 eta: 23:42:05 time: 0.2810 data_time: 0.0213 memory: 8198 grad_norm: 5.5114 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4615 loss: 1.4615 2022/08/03 04:57:33 - mmengine - INFO - Epoch(train) [97][900/1879] lr: 1.0000e-02 eta: 23:42:00 time: 0.2845 data_time: 0.0266 memory: 8198 grad_norm: 5.5431 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7811 loss: 1.7811 2022/08/03 04:57:38 - mmengine - INFO - Epoch(train) [97][920/1879] lr: 1.0000e-02 eta: 23:41:54 time: 0.2852 data_time: 0.0240 memory: 8198 grad_norm: 5.4192 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/08/03 04:57:44 - mmengine - INFO - Epoch(train) [97][940/1879] lr: 1.0000e-02 eta: 23:41:48 time: 0.2866 data_time: 0.0256 memory: 8198 grad_norm: 5.5505 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7286 loss: 1.7286 2022/08/03 04:57:50 - mmengine - INFO - Epoch(train) [97][960/1879] lr: 1.0000e-02 eta: 23:41:43 time: 0.2913 data_time: 0.0273 memory: 8198 grad_norm: 5.6389 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6686 loss: 1.6686 2022/08/03 04:57:55 - mmengine - INFO - Epoch(train) [97][980/1879] lr: 1.0000e-02 eta: 23:41:37 time: 0.2809 data_time: 0.0205 memory: 8198 grad_norm: 5.5864 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5668 loss: 1.5668 2022/08/03 04:58:01 - mmengine - INFO - Epoch(train) [97][1000/1879] lr: 1.0000e-02 eta: 23:41:32 time: 0.2862 data_time: 0.0248 memory: 8198 grad_norm: 5.5202 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6109 loss: 1.6109 2022/08/03 04:58:07 - mmengine - INFO - Epoch(train) [97][1020/1879] lr: 1.0000e-02 eta: 23:41:26 time: 0.2791 data_time: 0.0208 memory: 8198 grad_norm: 5.4967 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5921 loss: 1.5921 2022/08/03 04:58:13 - mmengine - INFO - Epoch(train) [97][1040/1879] lr: 1.0000e-02 eta: 23:41:20 time: 0.2875 data_time: 0.0279 memory: 8198 grad_norm: 5.1725 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5173 loss: 1.5173 2022/08/03 04:58:18 - mmengine - INFO - Epoch(train) [97][1060/1879] lr: 1.0000e-02 eta: 23:41:14 time: 0.2877 data_time: 0.0243 memory: 8198 grad_norm: 5.5616 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4750 loss: 1.4750 2022/08/03 04:58:24 - mmengine - INFO - Epoch(train) [97][1080/1879] lr: 1.0000e-02 eta: 23:41:09 time: 0.2949 data_time: 0.0191 memory: 8198 grad_norm: 5.6953 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7984 loss: 1.7984 2022/08/03 04:58:30 - mmengine - INFO - Epoch(train) [97][1100/1879] lr: 1.0000e-02 eta: 23:41:03 time: 0.2808 data_time: 0.0226 memory: 8198 grad_norm: 5.5444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5736 loss: 1.5736 2022/08/03 04:58:36 - mmengine - INFO - Epoch(train) [97][1120/1879] lr: 1.0000e-02 eta: 23:40:58 time: 0.2826 data_time: 0.0235 memory: 8198 grad_norm: 5.2793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5838 loss: 1.5838 2022/08/03 04:58:41 - mmengine - INFO - Epoch(train) [97][1140/1879] lr: 1.0000e-02 eta: 23:40:52 time: 0.2870 data_time: 0.0218 memory: 8198 grad_norm: 5.4730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6051 loss: 1.6051 2022/08/03 04:58:47 - mmengine - INFO - Epoch(train) [97][1160/1879] lr: 1.0000e-02 eta: 23:40:46 time: 0.2820 data_time: 0.0254 memory: 8198 grad_norm: 5.3465 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4649 loss: 1.4649 2022/08/03 04:58:53 - mmengine - INFO - Epoch(train) [97][1180/1879] lr: 1.0000e-02 eta: 23:40:40 time: 0.2857 data_time: 0.0196 memory: 8198 grad_norm: 5.5585 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6625 loss: 1.6625 2022/08/03 04:58:58 - mmengine - INFO - Epoch(train) [97][1200/1879] lr: 1.0000e-02 eta: 23:40:35 time: 0.2829 data_time: 0.0242 memory: 8198 grad_norm: 5.4071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5314 loss: 1.5314 2022/08/03 04:59:04 - mmengine - INFO - Epoch(train) [97][1220/1879] lr: 1.0000e-02 eta: 23:40:29 time: 0.2812 data_time: 0.0186 memory: 8198 grad_norm: 5.4794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6190 loss: 1.6190 2022/08/03 04:59:10 - mmengine - INFO - Epoch(train) [97][1240/1879] lr: 1.0000e-02 eta: 23:40:23 time: 0.2857 data_time: 0.0279 memory: 8198 grad_norm: 5.4679 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6784 loss: 1.6784 2022/08/03 04:59:15 - mmengine - INFO - Epoch(train) [97][1260/1879] lr: 1.0000e-02 eta: 23:40:17 time: 0.2823 data_time: 0.0188 memory: 8198 grad_norm: 5.3933 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3999 loss: 1.3999 2022/08/03 04:59:21 - mmengine - INFO - Epoch(train) [97][1280/1879] lr: 1.0000e-02 eta: 23:40:12 time: 0.2844 data_time: 0.0217 memory: 8198 grad_norm: 5.3176 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7781 loss: 1.7781 2022/08/03 04:59:27 - mmengine - INFO - Epoch(train) [97][1300/1879] lr: 1.0000e-02 eta: 23:40:06 time: 0.2863 data_time: 0.0228 memory: 8198 grad_norm: 5.5078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5986 loss: 1.5986 2022/08/03 04:59:33 - mmengine - INFO - Epoch(train) [97][1320/1879] lr: 1.0000e-02 eta: 23:40:01 time: 0.2939 data_time: 0.0215 memory: 8198 grad_norm: 5.4347 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7093 loss: 1.7093 2022/08/03 04:59:38 - mmengine - INFO - Epoch(train) [97][1340/1879] lr: 1.0000e-02 eta: 23:39:55 time: 0.2846 data_time: 0.0229 memory: 8198 grad_norm: 5.4681 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6599 loss: 1.6599 2022/08/03 04:59:44 - mmengine - INFO - Epoch(train) [97][1360/1879] lr: 1.0000e-02 eta: 23:39:49 time: 0.2822 data_time: 0.0218 memory: 8198 grad_norm: 5.6292 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5348 loss: 1.5348 2022/08/03 04:59:50 - mmengine - INFO - Epoch(train) [97][1380/1879] lr: 1.0000e-02 eta: 23:39:44 time: 0.2826 data_time: 0.0223 memory: 8198 grad_norm: 5.5883 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6630 loss: 1.6630 2022/08/03 04:59:56 - mmengine - INFO - Epoch(train) [97][1400/1879] lr: 1.0000e-02 eta: 23:39:38 time: 0.2982 data_time: 0.0277 memory: 8198 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4494 loss: 1.4494 2022/08/03 05:00:01 - mmengine - INFO - Epoch(train) [97][1420/1879] lr: 1.0000e-02 eta: 23:39:32 time: 0.2802 data_time: 0.0228 memory: 8198 grad_norm: 5.5995 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6616 loss: 1.6616 2022/08/03 05:00:07 - mmengine - INFO - Epoch(train) [97][1440/1879] lr: 1.0000e-02 eta: 23:39:27 time: 0.2917 data_time: 0.0272 memory: 8198 grad_norm: 5.4535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4324 loss: 1.4324 2022/08/03 05:00:13 - mmengine - INFO - Epoch(train) [97][1460/1879] lr: 1.0000e-02 eta: 23:39:21 time: 0.2871 data_time: 0.0230 memory: 8198 grad_norm: 5.6513 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9070 loss: 1.9070 2022/08/03 05:00:19 - mmengine - INFO - Epoch(train) [97][1480/1879] lr: 1.0000e-02 eta: 23:39:16 time: 0.2847 data_time: 0.0255 memory: 8198 grad_norm: 5.4424 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7982 loss: 1.7982 2022/08/03 05:00:24 - mmengine - INFO - Epoch(train) [97][1500/1879] lr: 1.0000e-02 eta: 23:39:10 time: 0.2825 data_time: 0.0236 memory: 8198 grad_norm: 5.5263 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5556 loss: 1.5556 2022/08/03 05:00:30 - mmengine - INFO - Epoch(train) [97][1520/1879] lr: 1.0000e-02 eta: 23:39:04 time: 0.2877 data_time: 0.0250 memory: 8198 grad_norm: 5.6021 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6766 loss: 1.6766 2022/08/03 05:00:36 - mmengine - INFO - Epoch(train) [97][1540/1879] lr: 1.0000e-02 eta: 23:38:59 time: 0.2819 data_time: 0.0205 memory: 8198 grad_norm: 5.4720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5825 loss: 1.5825 2022/08/03 05:00:42 - mmengine - INFO - Epoch(train) [97][1560/1879] lr: 1.0000e-02 eta: 23:38:53 time: 0.2877 data_time: 0.0225 memory: 8198 grad_norm: 5.4016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5912 loss: 1.5912 2022/08/03 05:00:48 - mmengine - INFO - Epoch(train) [97][1580/1879] lr: 1.0000e-02 eta: 23:38:48 time: 0.2985 data_time: 0.0240 memory: 8198 grad_norm: 5.7783 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7060 loss: 1.7060 2022/08/03 05:00:53 - mmengine - INFO - Epoch(train) [97][1600/1879] lr: 1.0000e-02 eta: 23:38:42 time: 0.2800 data_time: 0.0205 memory: 8198 grad_norm: 5.4735 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6695 loss: 1.6695 2022/08/03 05:00:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:00:59 - mmengine - INFO - Epoch(train) [97][1620/1879] lr: 1.0000e-02 eta: 23:38:36 time: 0.2822 data_time: 0.0239 memory: 8198 grad_norm: 5.5336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6732 loss: 1.6732 2022/08/03 05:01:05 - mmengine - INFO - Epoch(train) [97][1640/1879] lr: 1.0000e-02 eta: 23:38:31 time: 0.3040 data_time: 0.0236 memory: 8198 grad_norm: 5.5746 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6707 loss: 1.6707 2022/08/03 05:01:11 - mmengine - INFO - Epoch(train) [97][1660/1879] lr: 1.0000e-02 eta: 23:38:25 time: 0.2821 data_time: 0.0228 memory: 8198 grad_norm: 5.4442 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6673 loss: 1.6673 2022/08/03 05:01:16 - mmengine - INFO - Epoch(train) [97][1680/1879] lr: 1.0000e-02 eta: 23:38:19 time: 0.2832 data_time: 0.0226 memory: 8198 grad_norm: 5.3284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6350 loss: 1.6350 2022/08/03 05:01:22 - mmengine - INFO - Epoch(train) [97][1700/1879] lr: 1.0000e-02 eta: 23:38:14 time: 0.2816 data_time: 0.0213 memory: 8198 grad_norm: 5.5479 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7795 loss: 1.7795 2022/08/03 05:01:28 - mmengine - INFO - Epoch(train) [97][1720/1879] lr: 1.0000e-02 eta: 23:38:08 time: 0.2833 data_time: 0.0235 memory: 8198 grad_norm: 5.3907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7929 loss: 1.7929 2022/08/03 05:01:33 - mmengine - INFO - Epoch(train) [97][1740/1879] lr: 1.0000e-02 eta: 23:38:02 time: 0.2817 data_time: 0.0239 memory: 8198 grad_norm: 5.5485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6073 loss: 1.6073 2022/08/03 05:01:39 - mmengine - INFO - Epoch(train) [97][1760/1879] lr: 1.0000e-02 eta: 23:37:56 time: 0.2829 data_time: 0.0253 memory: 8198 grad_norm: 5.5274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6497 loss: 1.6497 2022/08/03 05:01:45 - mmengine - INFO - Epoch(train) [97][1780/1879] lr: 1.0000e-02 eta: 23:37:51 time: 0.2854 data_time: 0.0220 memory: 8198 grad_norm: 5.5457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8408 loss: 1.8408 2022/08/03 05:01:50 - mmengine - INFO - Epoch(train) [97][1800/1879] lr: 1.0000e-02 eta: 23:37:45 time: 0.2853 data_time: 0.0210 memory: 8198 grad_norm: 5.3202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6584 loss: 1.6584 2022/08/03 05:01:56 - mmengine - INFO - Epoch(train) [97][1820/1879] lr: 1.0000e-02 eta: 23:37:39 time: 0.2810 data_time: 0.0187 memory: 8198 grad_norm: 5.4027 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4596 loss: 1.4596 2022/08/03 05:02:02 - mmengine - INFO - Epoch(train) [97][1840/1879] lr: 1.0000e-02 eta: 23:37:34 time: 0.2868 data_time: 0.0258 memory: 8198 grad_norm: 5.6642 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7954 loss: 1.7954 2022/08/03 05:02:07 - mmengine - INFO - Epoch(train) [97][1860/1879] lr: 1.0000e-02 eta: 23:37:28 time: 0.2813 data_time: 0.0196 memory: 8198 grad_norm: 5.4239 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5566 loss: 1.5566 2022/08/03 05:02:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:02:12 - mmengine - INFO - Epoch(train) [97][1879/1879] lr: 1.0000e-02 eta: 23:37:28 time: 0.2572 data_time: 0.0154 memory: 8198 grad_norm: 5.5388 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6942 loss: 1.6942 2022/08/03 05:02:20 - mmengine - INFO - Epoch(train) [98][20/1879] lr: 1.0000e-02 eta: 23:37:11 time: 0.3931 data_time: 0.1087 memory: 8198 grad_norm: 5.4763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5799 loss: 1.5799 2022/08/03 05:02:26 - mmengine - INFO - Epoch(train) [98][40/1879] lr: 1.0000e-02 eta: 23:37:06 time: 0.2891 data_time: 0.0200 memory: 8198 grad_norm: 5.4590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5698 loss: 1.5698 2022/08/03 05:02:32 - mmengine - INFO - Epoch(train) [98][60/1879] lr: 1.0000e-02 eta: 23:37:01 time: 0.3047 data_time: 0.0218 memory: 8198 grad_norm: 5.4834 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4916 loss: 1.4916 2022/08/03 05:02:38 - mmengine - INFO - Epoch(train) [98][80/1879] lr: 1.0000e-02 eta: 23:36:55 time: 0.2873 data_time: 0.0240 memory: 8198 grad_norm: 5.5044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7131 loss: 1.7131 2022/08/03 05:02:44 - mmengine - INFO - Epoch(train) [98][100/1879] lr: 1.0000e-02 eta: 23:36:50 time: 0.2994 data_time: 0.0439 memory: 8198 grad_norm: 5.4893 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4474 loss: 1.4474 2022/08/03 05:02:50 - mmengine - INFO - Epoch(train) [98][120/1879] lr: 1.0000e-02 eta: 23:36:44 time: 0.2825 data_time: 0.0244 memory: 8198 grad_norm: 5.6659 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6662 loss: 1.6662 2022/08/03 05:02:55 - mmengine - INFO - Epoch(train) [98][140/1879] lr: 1.0000e-02 eta: 23:36:38 time: 0.2817 data_time: 0.0194 memory: 8198 grad_norm: 5.4706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6857 loss: 1.6857 2022/08/03 05:03:01 - mmengine - INFO - Epoch(train) [98][160/1879] lr: 1.0000e-02 eta: 23:36:33 time: 0.2864 data_time: 0.0204 memory: 8198 grad_norm: 5.4363 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4571 loss: 1.4571 2022/08/03 05:03:07 - mmengine - INFO - Epoch(train) [98][180/1879] lr: 1.0000e-02 eta: 23:36:27 time: 0.2842 data_time: 0.0205 memory: 8198 grad_norm: 5.5530 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4464 loss: 1.4464 2022/08/03 05:03:12 - mmengine - INFO - Epoch(train) [98][200/1879] lr: 1.0000e-02 eta: 23:36:21 time: 0.2853 data_time: 0.0201 memory: 8198 grad_norm: 5.5259 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6586 loss: 1.6586 2022/08/03 05:03:18 - mmengine - INFO - Epoch(train) [98][220/1879] lr: 1.0000e-02 eta: 23:36:16 time: 0.2881 data_time: 0.0251 memory: 8198 grad_norm: 5.5130 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6278 loss: 1.6278 2022/08/03 05:03:24 - mmengine - INFO - Epoch(train) [98][240/1879] lr: 1.0000e-02 eta: 23:36:10 time: 0.2828 data_time: 0.0245 memory: 8198 grad_norm: 5.6387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6869 loss: 1.6869 2022/08/03 05:03:30 - mmengine - INFO - Epoch(train) [98][260/1879] lr: 1.0000e-02 eta: 23:36:05 time: 0.2887 data_time: 0.0223 memory: 8198 grad_norm: 5.4441 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5254 loss: 1.5254 2022/08/03 05:03:35 - mmengine - INFO - Epoch(train) [98][280/1879] lr: 1.0000e-02 eta: 23:35:59 time: 0.2830 data_time: 0.0297 memory: 8198 grad_norm: 5.4746 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6351 loss: 1.6351 2022/08/03 05:03:41 - mmengine - INFO - Epoch(train) [98][300/1879] lr: 1.0000e-02 eta: 23:35:53 time: 0.2859 data_time: 0.0259 memory: 8198 grad_norm: 5.2854 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6122 loss: 1.6122 2022/08/03 05:03:47 - mmengine - INFO - Epoch(train) [98][320/1879] lr: 1.0000e-02 eta: 23:35:47 time: 0.2820 data_time: 0.0186 memory: 8198 grad_norm: 5.3934 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6142 loss: 1.6142 2022/08/03 05:03:53 - mmengine - INFO - Epoch(train) [98][340/1879] lr: 1.0000e-02 eta: 23:35:42 time: 0.2883 data_time: 0.0250 memory: 8198 grad_norm: 5.4852 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6595 loss: 1.6595 2022/08/03 05:03:58 - mmengine - INFO - Epoch(train) [98][360/1879] lr: 1.0000e-02 eta: 23:35:36 time: 0.2855 data_time: 0.0209 memory: 8198 grad_norm: 5.5296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8015 loss: 1.8015 2022/08/03 05:04:04 - mmengine - INFO - Epoch(train) [98][380/1879] lr: 1.0000e-02 eta: 23:35:31 time: 0.2869 data_time: 0.0227 memory: 8198 grad_norm: 5.5235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5193 loss: 1.5193 2022/08/03 05:04:10 - mmengine - INFO - Epoch(train) [98][400/1879] lr: 1.0000e-02 eta: 23:35:25 time: 0.2839 data_time: 0.0223 memory: 8198 grad_norm: 5.4398 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6446 loss: 1.6446 2022/08/03 05:04:15 - mmengine - INFO - Epoch(train) [98][420/1879] lr: 1.0000e-02 eta: 23:35:19 time: 0.2830 data_time: 0.0253 memory: 8198 grad_norm: 5.6051 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8411 loss: 1.8411 2022/08/03 05:04:21 - mmengine - INFO - Epoch(train) [98][440/1879] lr: 1.0000e-02 eta: 23:35:14 time: 0.2884 data_time: 0.0249 memory: 8198 grad_norm: 5.4736 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6529 loss: 1.6529 2022/08/03 05:04:27 - mmengine - INFO - Epoch(train) [98][460/1879] lr: 1.0000e-02 eta: 23:35:08 time: 0.2848 data_time: 0.0218 memory: 8198 grad_norm: 5.4233 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6689 loss: 1.6689 2022/08/03 05:04:33 - mmengine - INFO - Epoch(train) [98][480/1879] lr: 1.0000e-02 eta: 23:35:02 time: 0.2836 data_time: 0.0235 memory: 8198 grad_norm: 5.5413 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8162 loss: 1.8162 2022/08/03 05:04:38 - mmengine - INFO - Epoch(train) [98][500/1879] lr: 1.0000e-02 eta: 23:34:57 time: 0.2887 data_time: 0.0233 memory: 8198 grad_norm: 5.5692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/08/03 05:04:44 - mmengine - INFO - Epoch(train) [98][520/1879] lr: 1.0000e-02 eta: 23:34:51 time: 0.2841 data_time: 0.0248 memory: 8198 grad_norm: 5.4606 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4720 loss: 1.4720 2022/08/03 05:04:50 - mmengine - INFO - Epoch(train) [98][540/1879] lr: 1.0000e-02 eta: 23:34:45 time: 0.2810 data_time: 0.0226 memory: 8198 grad_norm: 5.3982 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/08/03 05:04:55 - mmengine - INFO - Epoch(train) [98][560/1879] lr: 1.0000e-02 eta: 23:34:39 time: 0.2831 data_time: 0.0213 memory: 8198 grad_norm: 5.5883 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6264 loss: 1.6264 2022/08/03 05:05:01 - mmengine - INFO - Epoch(train) [98][580/1879] lr: 1.0000e-02 eta: 23:34:34 time: 0.2880 data_time: 0.0226 memory: 8198 grad_norm: 5.4820 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7122 loss: 1.7122 2022/08/03 05:05:07 - mmengine - INFO - Epoch(train) [98][600/1879] lr: 1.0000e-02 eta: 23:34:28 time: 0.2832 data_time: 0.0219 memory: 8198 grad_norm: 5.5523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5682 loss: 1.5682 2022/08/03 05:05:13 - mmengine - INFO - Epoch(train) [98][620/1879] lr: 1.0000e-02 eta: 23:34:22 time: 0.2887 data_time: 0.0221 memory: 8198 grad_norm: 5.4595 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5860 loss: 1.5860 2022/08/03 05:05:18 - mmengine - INFO - Epoch(train) [98][640/1879] lr: 1.0000e-02 eta: 23:34:17 time: 0.2872 data_time: 0.0228 memory: 8198 grad_norm: 5.4496 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5102 loss: 1.5102 2022/08/03 05:05:24 - mmengine - INFO - Epoch(train) [98][660/1879] lr: 1.0000e-02 eta: 23:34:11 time: 0.2862 data_time: 0.0218 memory: 8198 grad_norm: 5.3209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6378 loss: 1.6378 2022/08/03 05:05:30 - mmengine - INFO - Epoch(train) [98][680/1879] lr: 1.0000e-02 eta: 23:34:05 time: 0.2822 data_time: 0.0210 memory: 8198 grad_norm: 5.5162 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7670 loss: 1.7670 2022/08/03 05:05:35 - mmengine - INFO - Epoch(train) [98][700/1879] lr: 1.0000e-02 eta: 23:34:00 time: 0.2836 data_time: 0.0241 memory: 8198 grad_norm: 5.5808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6580 loss: 1.6580 2022/08/03 05:05:41 - mmengine - INFO - Epoch(train) [98][720/1879] lr: 1.0000e-02 eta: 23:33:55 time: 0.3014 data_time: 0.0250 memory: 8198 grad_norm: 5.4124 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6087 loss: 1.6087 2022/08/03 05:05:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:05:47 - mmengine - INFO - Epoch(train) [98][740/1879] lr: 1.0000e-02 eta: 23:33:49 time: 0.2821 data_time: 0.0247 memory: 8198 grad_norm: 5.5320 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7799 loss: 1.7799 2022/08/03 05:05:53 - mmengine - INFO - Epoch(train) [98][760/1879] lr: 1.0000e-02 eta: 23:33:43 time: 0.2886 data_time: 0.0287 memory: 8198 grad_norm: 5.3867 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5252 loss: 1.5252 2022/08/03 05:05:59 - mmengine - INFO - Epoch(train) [98][780/1879] lr: 1.0000e-02 eta: 23:33:38 time: 0.2880 data_time: 0.0249 memory: 8198 grad_norm: 5.6841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8019 loss: 1.8019 2022/08/03 05:06:05 - mmengine - INFO - Epoch(train) [98][800/1879] lr: 1.0000e-02 eta: 23:33:32 time: 0.2904 data_time: 0.0253 memory: 8198 grad_norm: 5.4753 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5367 loss: 1.5367 2022/08/03 05:06:10 - mmengine - INFO - Epoch(train) [98][820/1879] lr: 1.0000e-02 eta: 23:33:26 time: 0.2844 data_time: 0.0183 memory: 8198 grad_norm: 5.3593 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5732 loss: 1.5732 2022/08/03 05:06:16 - mmengine - INFO - Epoch(train) [98][840/1879] lr: 1.0000e-02 eta: 23:33:21 time: 0.2849 data_time: 0.0214 memory: 8198 grad_norm: 5.4928 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7343 loss: 1.7343 2022/08/03 05:06:22 - mmengine - INFO - Epoch(train) [98][860/1879] lr: 1.0000e-02 eta: 23:33:15 time: 0.2862 data_time: 0.0247 memory: 8198 grad_norm: 5.4925 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6176 loss: 1.6176 2022/08/03 05:06:27 - mmengine - INFO - Epoch(train) [98][880/1879] lr: 1.0000e-02 eta: 23:33:09 time: 0.2813 data_time: 0.0201 memory: 8198 grad_norm: 5.4490 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6618 loss: 1.6618 2022/08/03 05:06:33 - mmengine - INFO - Epoch(train) [98][900/1879] lr: 1.0000e-02 eta: 23:33:03 time: 0.2818 data_time: 0.0227 memory: 8198 grad_norm: 5.4268 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5601 loss: 1.5601 2022/08/03 05:06:39 - mmengine - INFO - Epoch(train) [98][920/1879] lr: 1.0000e-02 eta: 23:32:58 time: 0.3038 data_time: 0.0252 memory: 8198 grad_norm: 5.4840 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4425 loss: 1.4425 2022/08/03 05:06:45 - mmengine - INFO - Epoch(train) [98][940/1879] lr: 1.0000e-02 eta: 23:32:53 time: 0.2795 data_time: 0.0190 memory: 8198 grad_norm: 5.4929 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6657 loss: 1.6657 2022/08/03 05:06:50 - mmengine - INFO - Epoch(train) [98][960/1879] lr: 1.0000e-02 eta: 23:32:47 time: 0.2834 data_time: 0.0228 memory: 8198 grad_norm: 5.4310 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4116 loss: 1.4116 2022/08/03 05:06:56 - mmengine - INFO - Epoch(train) [98][980/1879] lr: 1.0000e-02 eta: 23:32:41 time: 0.2847 data_time: 0.0235 memory: 8198 grad_norm: 5.5682 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4975 loss: 1.4975 2022/08/03 05:07:02 - mmengine - INFO - Epoch(train) [98][1000/1879] lr: 1.0000e-02 eta: 23:32:36 time: 0.2915 data_time: 0.0216 memory: 8198 grad_norm: 5.5034 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5954 loss: 1.5954 2022/08/03 05:07:08 - mmengine - INFO - Epoch(train) [98][1020/1879] lr: 1.0000e-02 eta: 23:32:30 time: 0.2813 data_time: 0.0236 memory: 8198 grad_norm: 5.5011 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/08/03 05:07:13 - mmengine - INFO - Epoch(train) [98][1040/1879] lr: 1.0000e-02 eta: 23:32:24 time: 0.2812 data_time: 0.0213 memory: 8198 grad_norm: 5.4793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5366 loss: 1.5366 2022/08/03 05:07:19 - mmengine - INFO - Epoch(train) [98][1060/1879] lr: 1.0000e-02 eta: 23:32:18 time: 0.2856 data_time: 0.0249 memory: 8198 grad_norm: 5.4797 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6384 loss: 1.6384 2022/08/03 05:07:25 - mmengine - INFO - Epoch(train) [98][1080/1879] lr: 1.0000e-02 eta: 23:32:13 time: 0.2860 data_time: 0.0271 memory: 8198 grad_norm: 5.6614 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5718 loss: 1.5718 2022/08/03 05:07:30 - mmengine - INFO - Epoch(train) [98][1100/1879] lr: 1.0000e-02 eta: 23:32:07 time: 0.2864 data_time: 0.0213 memory: 8198 grad_norm: 5.3666 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4054 loss: 1.4054 2022/08/03 05:07:36 - mmengine - INFO - Epoch(train) [98][1120/1879] lr: 1.0000e-02 eta: 23:32:01 time: 0.2820 data_time: 0.0237 memory: 8198 grad_norm: 5.7525 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4949 loss: 1.4949 2022/08/03 05:07:42 - mmengine - INFO - Epoch(train) [98][1140/1879] lr: 1.0000e-02 eta: 23:31:56 time: 0.2871 data_time: 0.0242 memory: 8198 grad_norm: 5.6363 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7702 loss: 1.7702 2022/08/03 05:07:47 - mmengine - INFO - Epoch(train) [98][1160/1879] lr: 1.0000e-02 eta: 23:31:50 time: 0.2824 data_time: 0.0275 memory: 8198 grad_norm: 5.4909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4989 loss: 1.4989 2022/08/03 05:07:53 - mmengine - INFO - Epoch(train) [98][1180/1879] lr: 1.0000e-02 eta: 23:31:44 time: 0.2813 data_time: 0.0233 memory: 8198 grad_norm: 5.5945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8653 loss: 1.8653 2022/08/03 05:07:59 - mmengine - INFO - Epoch(train) [98][1200/1879] lr: 1.0000e-02 eta: 23:31:39 time: 0.2899 data_time: 0.0260 memory: 8198 grad_norm: 5.3730 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4331 loss: 1.4331 2022/08/03 05:08:05 - mmengine - INFO - Epoch(train) [98][1220/1879] lr: 1.0000e-02 eta: 23:31:33 time: 0.2846 data_time: 0.0281 memory: 8198 grad_norm: 5.4279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5418 loss: 1.5418 2022/08/03 05:08:10 - mmengine - INFO - Epoch(train) [98][1240/1879] lr: 1.0000e-02 eta: 23:31:27 time: 0.2815 data_time: 0.0212 memory: 8198 grad_norm: 5.4625 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6768 loss: 1.6768 2022/08/03 05:08:16 - mmengine - INFO - Epoch(train) [98][1260/1879] lr: 1.0000e-02 eta: 23:31:22 time: 0.2909 data_time: 0.0231 memory: 8198 grad_norm: 5.3814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/08/03 05:08:22 - mmengine - INFO - Epoch(train) [98][1280/1879] lr: 1.0000e-02 eta: 23:31:16 time: 0.2861 data_time: 0.0215 memory: 8198 grad_norm: 5.6852 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7299 loss: 1.7299 2022/08/03 05:08:27 - mmengine - INFO - Epoch(train) [98][1300/1879] lr: 1.0000e-02 eta: 23:31:10 time: 0.2812 data_time: 0.0190 memory: 8198 grad_norm: 5.5660 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4987 loss: 1.4987 2022/08/03 05:08:33 - mmengine - INFO - Epoch(train) [98][1320/1879] lr: 1.0000e-02 eta: 23:31:05 time: 0.2861 data_time: 0.0240 memory: 8198 grad_norm: 5.5438 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6089 loss: 1.6089 2022/08/03 05:08:39 - mmengine - INFO - Epoch(train) [98][1340/1879] lr: 1.0000e-02 eta: 23:30:59 time: 0.2838 data_time: 0.0250 memory: 8198 grad_norm: 5.6020 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/08/03 05:08:45 - mmengine - INFO - Epoch(train) [98][1360/1879] lr: 1.0000e-02 eta: 23:30:53 time: 0.2846 data_time: 0.0219 memory: 8198 grad_norm: 5.5156 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5139 loss: 1.5139 2022/08/03 05:08:50 - mmengine - INFO - Epoch(train) [98][1380/1879] lr: 1.0000e-02 eta: 23:30:47 time: 0.2861 data_time: 0.0223 memory: 8198 grad_norm: 5.6993 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6828 loss: 1.6828 2022/08/03 05:08:56 - mmengine - INFO - Epoch(train) [98][1400/1879] lr: 1.0000e-02 eta: 23:30:42 time: 0.2848 data_time: 0.0247 memory: 8198 grad_norm: 5.5267 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3807 loss: 1.3807 2022/08/03 05:09:02 - mmengine - INFO - Epoch(train) [98][1420/1879] lr: 1.0000e-02 eta: 23:30:36 time: 0.2853 data_time: 0.0259 memory: 8198 grad_norm: 5.3584 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8897 loss: 1.8897 2022/08/03 05:09:07 - mmengine - INFO - Epoch(train) [98][1440/1879] lr: 1.0000e-02 eta: 23:30:30 time: 0.2807 data_time: 0.0203 memory: 8198 grad_norm: 5.5177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8252 loss: 1.8252 2022/08/03 05:09:13 - mmengine - INFO - Epoch(train) [98][1460/1879] lr: 1.0000e-02 eta: 23:30:25 time: 0.2840 data_time: 0.0201 memory: 8198 grad_norm: 5.3907 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4492 loss: 1.4492 2022/08/03 05:09:19 - mmengine - INFO - Epoch(train) [98][1480/1879] lr: 1.0000e-02 eta: 23:30:19 time: 0.2846 data_time: 0.0244 memory: 8198 grad_norm: 5.3076 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5103 loss: 1.5103 2022/08/03 05:09:25 - mmengine - INFO - Epoch(train) [98][1500/1879] lr: 1.0000e-02 eta: 23:30:13 time: 0.2832 data_time: 0.0163 memory: 8198 grad_norm: 5.4416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5584 loss: 1.5584 2022/08/03 05:09:30 - mmengine - INFO - Epoch(train) [98][1520/1879] lr: 1.0000e-02 eta: 23:30:07 time: 0.2832 data_time: 0.0272 memory: 8198 grad_norm: 5.4502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0006 loss: 2.0006 2022/08/03 05:09:36 - mmengine - INFO - Epoch(train) [98][1540/1879] lr: 1.0000e-02 eta: 23:30:02 time: 0.2844 data_time: 0.0232 memory: 8198 grad_norm: 5.4453 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6911 loss: 1.6911 2022/08/03 05:09:42 - mmengine - INFO - Epoch(train) [98][1560/1879] lr: 1.0000e-02 eta: 23:29:56 time: 0.2892 data_time: 0.0255 memory: 8198 grad_norm: 5.5424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6598 loss: 1.6598 2022/08/03 05:09:47 - mmengine - INFO - Epoch(train) [98][1580/1879] lr: 1.0000e-02 eta: 23:29:50 time: 0.2850 data_time: 0.0188 memory: 8198 grad_norm: 5.4665 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5784 loss: 1.5784 2022/08/03 05:09:53 - mmengine - INFO - Epoch(train) [98][1600/1879] lr: 1.0000e-02 eta: 23:29:45 time: 0.2870 data_time: 0.0238 memory: 8198 grad_norm: 5.3914 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7009 loss: 1.7009 2022/08/03 05:09:59 - mmengine - INFO - Epoch(train) [98][1620/1879] lr: 1.0000e-02 eta: 23:29:39 time: 0.2847 data_time: 0.0244 memory: 8198 grad_norm: 5.5876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6264 loss: 1.6264 2022/08/03 05:10:05 - mmengine - INFO - Epoch(train) [98][1640/1879] lr: 1.0000e-02 eta: 23:29:33 time: 0.2809 data_time: 0.0227 memory: 8198 grad_norm: 5.3960 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7035 loss: 1.7035 2022/08/03 05:10:10 - mmengine - INFO - Epoch(train) [98][1660/1879] lr: 1.0000e-02 eta: 23:29:28 time: 0.2844 data_time: 0.0213 memory: 8198 grad_norm: 5.2919 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6665 loss: 1.6665 2022/08/03 05:10:16 - mmengine - INFO - Epoch(train) [98][1680/1879] lr: 1.0000e-02 eta: 23:29:22 time: 0.2833 data_time: 0.0223 memory: 8198 grad_norm: 5.5160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5868 loss: 1.5868 2022/08/03 05:10:22 - mmengine - INFO - Epoch(train) [98][1700/1879] lr: 1.0000e-02 eta: 23:29:16 time: 0.2864 data_time: 0.0225 memory: 8198 grad_norm: 5.6798 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7054 loss: 1.7054 2022/08/03 05:10:27 - mmengine - INFO - Epoch(train) [98][1720/1879] lr: 1.0000e-02 eta: 23:29:11 time: 0.2880 data_time: 0.0206 memory: 8198 grad_norm: 5.7457 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6679 loss: 1.6679 2022/08/03 05:10:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:10:33 - mmengine - INFO - Epoch(train) [98][1740/1879] lr: 1.0000e-02 eta: 23:29:05 time: 0.2812 data_time: 0.0252 memory: 8198 grad_norm: 5.3742 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7802 loss: 1.7802 2022/08/03 05:10:39 - mmengine - INFO - Epoch(train) [98][1760/1879] lr: 1.0000e-02 eta: 23:28:59 time: 0.2915 data_time: 0.0260 memory: 8198 grad_norm: 5.4232 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6743 loss: 1.6743 2022/08/03 05:10:45 - mmengine - INFO - Epoch(train) [98][1780/1879] lr: 1.0000e-02 eta: 23:28:54 time: 0.2785 data_time: 0.0229 memory: 8198 grad_norm: 5.4913 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6508 loss: 1.6508 2022/08/03 05:10:50 - mmengine - INFO - Epoch(train) [98][1800/1879] lr: 1.0000e-02 eta: 23:28:48 time: 0.2868 data_time: 0.0241 memory: 8198 grad_norm: 5.3950 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7074 loss: 1.7074 2022/08/03 05:10:56 - mmengine - INFO - Epoch(train) [98][1820/1879] lr: 1.0000e-02 eta: 23:28:42 time: 0.2804 data_time: 0.0210 memory: 8198 grad_norm: 5.5207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9169 loss: 1.9169 2022/08/03 05:11:02 - mmengine - INFO - Epoch(train) [98][1840/1879] lr: 1.0000e-02 eta: 23:28:36 time: 0.2863 data_time: 0.0197 memory: 8198 grad_norm: 5.6231 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7806 loss: 1.7806 2022/08/03 05:11:07 - mmengine - INFO - Epoch(train) [98][1860/1879] lr: 1.0000e-02 eta: 23:28:31 time: 0.2807 data_time: 0.0217 memory: 8198 grad_norm: 5.5029 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6712 loss: 1.6712 2022/08/03 05:11:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:11:12 - mmengine - INFO - Epoch(train) [98][1879/1879] lr: 1.0000e-02 eta: 23:28:31 time: 0.2552 data_time: 0.0133 memory: 8198 grad_norm: 5.5592 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6313 loss: 1.6313 2022/08/03 05:11:20 - mmengine - INFO - Epoch(train) [99][20/1879] lr: 1.0000e-02 eta: 23:28:15 time: 0.4040 data_time: 0.1081 memory: 8198 grad_norm: 5.3871 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6959 loss: 1.6959 2022/08/03 05:11:27 - mmengine - INFO - Epoch(train) [99][40/1879] lr: 1.0000e-02 eta: 23:28:10 time: 0.3201 data_time: 0.0180 memory: 8198 grad_norm: 5.4170 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5205 loss: 1.5205 2022/08/03 05:11:32 - mmengine - INFO - Epoch(train) [99][60/1879] lr: 1.0000e-02 eta: 23:28:04 time: 0.2876 data_time: 0.0216 memory: 8198 grad_norm: 5.4495 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4509 loss: 1.4509 2022/08/03 05:11:38 - mmengine - INFO - Epoch(train) [99][80/1879] lr: 1.0000e-02 eta: 23:27:59 time: 0.2817 data_time: 0.0304 memory: 8198 grad_norm: 5.5075 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7060 loss: 1.7060 2022/08/03 05:11:44 - mmengine - INFO - Epoch(train) [99][100/1879] lr: 1.0000e-02 eta: 23:27:53 time: 0.2869 data_time: 0.0274 memory: 8198 grad_norm: 5.4627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7073 loss: 1.7073 2022/08/03 05:11:50 - mmengine - INFO - Epoch(train) [99][120/1879] lr: 1.0000e-02 eta: 23:27:47 time: 0.2872 data_time: 0.0235 memory: 8198 grad_norm: 5.5906 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7060 loss: 1.7060 2022/08/03 05:11:55 - mmengine - INFO - Epoch(train) [99][140/1879] lr: 1.0000e-02 eta: 23:27:42 time: 0.2823 data_time: 0.0256 memory: 8198 grad_norm: 5.4755 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4115 loss: 1.4115 2022/08/03 05:12:01 - mmengine - INFO - Epoch(train) [99][160/1879] lr: 1.0000e-02 eta: 23:27:36 time: 0.2837 data_time: 0.0234 memory: 8198 grad_norm: 5.6054 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6984 loss: 1.6984 2022/08/03 05:12:07 - mmengine - INFO - Epoch(train) [99][180/1879] lr: 1.0000e-02 eta: 23:27:30 time: 0.2820 data_time: 0.0234 memory: 8198 grad_norm: 5.5701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6539 loss: 1.6539 2022/08/03 05:12:12 - mmengine - INFO - Epoch(train) [99][200/1879] lr: 1.0000e-02 eta: 23:27:25 time: 0.2864 data_time: 0.0185 memory: 8198 grad_norm: 5.4463 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5425 loss: 1.5425 2022/08/03 05:12:18 - mmengine - INFO - Epoch(train) [99][220/1879] lr: 1.0000e-02 eta: 23:27:19 time: 0.2852 data_time: 0.0235 memory: 8198 grad_norm: 5.4244 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6972 loss: 1.6972 2022/08/03 05:12:24 - mmengine - INFO - Epoch(train) [99][240/1879] lr: 1.0000e-02 eta: 23:27:14 time: 0.3022 data_time: 0.0272 memory: 8198 grad_norm: 5.4897 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5248 loss: 1.5248 2022/08/03 05:12:30 - mmengine - INFO - Epoch(train) [99][260/1879] lr: 1.0000e-02 eta: 23:27:08 time: 0.2821 data_time: 0.0227 memory: 8198 grad_norm: 5.5260 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4557 loss: 1.4557 2022/08/03 05:12:36 - mmengine - INFO - Epoch(train) [99][280/1879] lr: 1.0000e-02 eta: 23:27:02 time: 0.2902 data_time: 0.0219 memory: 8198 grad_norm: 5.6210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6794 loss: 1.6794 2022/08/03 05:12:41 - mmengine - INFO - Epoch(train) [99][300/1879] lr: 1.0000e-02 eta: 23:26:57 time: 0.2883 data_time: 0.0245 memory: 8198 grad_norm: 5.4283 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3318 loss: 1.3318 2022/08/03 05:12:47 - mmengine - INFO - Epoch(train) [99][320/1879] lr: 1.0000e-02 eta: 23:26:51 time: 0.2848 data_time: 0.0223 memory: 8198 grad_norm: 5.4478 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4919 loss: 1.4919 2022/08/03 05:12:53 - mmengine - INFO - Epoch(train) [99][340/1879] lr: 1.0000e-02 eta: 23:26:46 time: 0.2849 data_time: 0.0178 memory: 8198 grad_norm: 5.5194 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4549 loss: 1.4549 2022/08/03 05:12:59 - mmengine - INFO - Epoch(train) [99][360/1879] lr: 1.0000e-02 eta: 23:26:40 time: 0.2890 data_time: 0.0238 memory: 8198 grad_norm: 5.4842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4563 loss: 1.4563 2022/08/03 05:13:04 - mmengine - INFO - Epoch(train) [99][380/1879] lr: 1.0000e-02 eta: 23:26:34 time: 0.2827 data_time: 0.0171 memory: 8198 grad_norm: 5.5005 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5235 loss: 1.5235 2022/08/03 05:13:10 - mmengine - INFO - Epoch(train) [99][400/1879] lr: 1.0000e-02 eta: 23:26:29 time: 0.2862 data_time: 0.0252 memory: 8198 grad_norm: 5.4537 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5764 loss: 1.5764 2022/08/03 05:13:16 - mmengine - INFO - Epoch(train) [99][420/1879] lr: 1.0000e-02 eta: 23:26:23 time: 0.2820 data_time: 0.0190 memory: 8198 grad_norm: 5.4100 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5508 loss: 1.5508 2022/08/03 05:13:21 - mmengine - INFO - Epoch(train) [99][440/1879] lr: 1.0000e-02 eta: 23:26:17 time: 0.2863 data_time: 0.0243 memory: 8198 grad_norm: 5.6200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5802 loss: 1.5802 2022/08/03 05:13:27 - mmengine - INFO - Epoch(train) [99][460/1879] lr: 1.0000e-02 eta: 23:26:11 time: 0.2842 data_time: 0.0241 memory: 8198 grad_norm: 5.6773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6625 loss: 1.6625 2022/08/03 05:13:33 - mmengine - INFO - Epoch(train) [99][480/1879] lr: 1.0000e-02 eta: 23:26:06 time: 0.2917 data_time: 0.0226 memory: 8198 grad_norm: 5.4316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6664 loss: 1.6664 2022/08/03 05:13:39 - mmengine - INFO - Epoch(train) [99][500/1879] lr: 1.0000e-02 eta: 23:26:00 time: 0.2810 data_time: 0.0241 memory: 8198 grad_norm: 5.5402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6583 loss: 1.6583 2022/08/03 05:13:44 - mmengine - INFO - Epoch(train) [99][520/1879] lr: 1.0000e-02 eta: 23:25:55 time: 0.2891 data_time: 0.0270 memory: 8198 grad_norm: 5.4186 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/08/03 05:13:50 - mmengine - INFO - Epoch(train) [99][540/1879] lr: 1.0000e-02 eta: 23:25:49 time: 0.2895 data_time: 0.0139 memory: 8198 grad_norm: 5.6138 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6236 loss: 1.6236 2022/08/03 05:13:56 - mmengine - INFO - Epoch(train) [99][560/1879] lr: 1.0000e-02 eta: 23:25:43 time: 0.2844 data_time: 0.0258 memory: 8198 grad_norm: 5.6984 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7276 loss: 1.7276 2022/08/03 05:14:02 - mmengine - INFO - Epoch(train) [99][580/1879] lr: 1.0000e-02 eta: 23:25:38 time: 0.2850 data_time: 0.0313 memory: 8198 grad_norm: 5.3646 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5390 loss: 1.5390 2022/08/03 05:14:07 - mmengine - INFO - Epoch(train) [99][600/1879] lr: 1.0000e-02 eta: 23:25:32 time: 0.2871 data_time: 0.0297 memory: 8198 grad_norm: 5.5379 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6068 loss: 1.6068 2022/08/03 05:14:13 - mmengine - INFO - Epoch(train) [99][620/1879] lr: 1.0000e-02 eta: 23:25:27 time: 0.2892 data_time: 0.0215 memory: 8198 grad_norm: 5.6197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5976 loss: 1.5976 2022/08/03 05:14:19 - mmengine - INFO - Epoch(train) [99][640/1879] lr: 1.0000e-02 eta: 23:25:21 time: 0.2835 data_time: 0.0250 memory: 8198 grad_norm: 5.3083 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5095 loss: 1.5095 2022/08/03 05:14:25 - mmengine - INFO - Epoch(train) [99][660/1879] lr: 1.0000e-02 eta: 23:25:15 time: 0.2907 data_time: 0.0313 memory: 8198 grad_norm: 5.5889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5786 loss: 1.5786 2022/08/03 05:14:30 - mmengine - INFO - Epoch(train) [99][680/1879] lr: 1.0000e-02 eta: 23:25:10 time: 0.2875 data_time: 0.0226 memory: 8198 grad_norm: 5.3922 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/08/03 05:14:36 - mmengine - INFO - Epoch(train) [99][700/1879] lr: 1.0000e-02 eta: 23:25:04 time: 0.2837 data_time: 0.0224 memory: 8198 grad_norm: 5.5520 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4760 loss: 1.4760 2022/08/03 05:14:42 - mmengine - INFO - Epoch(train) [99][720/1879] lr: 1.0000e-02 eta: 23:24:58 time: 0.2825 data_time: 0.0231 memory: 8198 grad_norm: 5.4395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6435 loss: 1.6435 2022/08/03 05:14:48 - mmengine - INFO - Epoch(train) [99][740/1879] lr: 1.0000e-02 eta: 23:24:53 time: 0.2853 data_time: 0.0234 memory: 8198 grad_norm: 5.5798 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7256 loss: 1.7256 2022/08/03 05:14:53 - mmengine - INFO - Epoch(train) [99][760/1879] lr: 1.0000e-02 eta: 23:24:47 time: 0.2846 data_time: 0.0213 memory: 8198 grad_norm: 5.4955 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6646 loss: 1.6646 2022/08/03 05:14:59 - mmengine - INFO - Epoch(train) [99][780/1879] lr: 1.0000e-02 eta: 23:24:41 time: 0.2852 data_time: 0.0218 memory: 8198 grad_norm: 5.4566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6138 loss: 1.6138 2022/08/03 05:15:05 - mmengine - INFO - Epoch(train) [99][800/1879] lr: 1.0000e-02 eta: 23:24:36 time: 0.2863 data_time: 0.0232 memory: 8198 grad_norm: 5.5735 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5405 loss: 1.5405 2022/08/03 05:15:11 - mmengine - INFO - Epoch(train) [99][820/1879] lr: 1.0000e-02 eta: 23:24:30 time: 0.2905 data_time: 0.0177 memory: 8198 grad_norm: 5.5134 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7128 loss: 1.7128 2022/08/03 05:15:16 - mmengine - INFO - Epoch(train) [99][840/1879] lr: 1.0000e-02 eta: 23:24:24 time: 0.2820 data_time: 0.0263 memory: 8198 grad_norm: 5.4826 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6207 loss: 1.6207 2022/08/03 05:15:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:15:22 - mmengine - INFO - Epoch(train) [99][860/1879] lr: 1.0000e-02 eta: 23:24:19 time: 0.2881 data_time: 0.0249 memory: 8198 grad_norm: 5.4420 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5744 loss: 1.5744 2022/08/03 05:15:28 - mmengine - INFO - Epoch(train) [99][880/1879] lr: 1.0000e-02 eta: 23:24:13 time: 0.2826 data_time: 0.0221 memory: 8198 grad_norm: 5.4287 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6969 loss: 1.6969 2022/08/03 05:15:33 - mmengine - INFO - Epoch(train) [99][900/1879] lr: 1.0000e-02 eta: 23:24:07 time: 0.2820 data_time: 0.0242 memory: 8198 grad_norm: 5.4930 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6791 loss: 1.6791 2022/08/03 05:15:39 - mmengine - INFO - Epoch(train) [99][920/1879] lr: 1.0000e-02 eta: 23:24:01 time: 0.2857 data_time: 0.0176 memory: 8198 grad_norm: 5.3978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7316 loss: 1.7316 2022/08/03 05:15:45 - mmengine - INFO - Epoch(train) [99][940/1879] lr: 1.0000e-02 eta: 23:23:56 time: 0.2821 data_time: 0.0223 memory: 8198 grad_norm: 5.6236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8448 loss: 1.8448 2022/08/03 05:15:51 - mmengine - INFO - Epoch(train) [99][960/1879] lr: 1.0000e-02 eta: 23:23:50 time: 0.2949 data_time: 0.0235 memory: 8198 grad_norm: 5.3849 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7841 loss: 1.7841 2022/08/03 05:15:56 - mmengine - INFO - Epoch(train) [99][980/1879] lr: 1.0000e-02 eta: 23:23:45 time: 0.2811 data_time: 0.0197 memory: 8198 grad_norm: 5.6076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7022 loss: 1.7022 2022/08/03 05:16:02 - mmengine - INFO - Epoch(train) [99][1000/1879] lr: 1.0000e-02 eta: 23:23:39 time: 0.2830 data_time: 0.0224 memory: 8198 grad_norm: 5.4843 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6885 loss: 1.6885 2022/08/03 05:16:08 - mmengine - INFO - Epoch(train) [99][1020/1879] lr: 1.0000e-02 eta: 23:23:33 time: 0.2844 data_time: 0.0226 memory: 8198 grad_norm: 5.4705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6929 loss: 1.6929 2022/08/03 05:16:13 - mmengine - INFO - Epoch(train) [99][1040/1879] lr: 1.0000e-02 eta: 23:23:27 time: 0.2844 data_time: 0.0239 memory: 8198 grad_norm: 5.6136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6695 loss: 1.6695 2022/08/03 05:16:19 - mmengine - INFO - Epoch(train) [99][1060/1879] lr: 1.0000e-02 eta: 23:23:22 time: 0.2897 data_time: 0.0252 memory: 8198 grad_norm: 5.4155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6359 loss: 1.6359 2022/08/03 05:16:25 - mmengine - INFO - Epoch(train) [99][1080/1879] lr: 1.0000e-02 eta: 23:23:16 time: 0.2864 data_time: 0.0215 memory: 8198 grad_norm: 5.4975 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5087 loss: 1.5087 2022/08/03 05:16:31 - mmengine - INFO - Epoch(train) [99][1100/1879] lr: 1.0000e-02 eta: 23:23:11 time: 0.2836 data_time: 0.0232 memory: 8198 grad_norm: 5.5180 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6963 loss: 1.6963 2022/08/03 05:16:36 - mmengine - INFO - Epoch(train) [99][1120/1879] lr: 1.0000e-02 eta: 23:23:05 time: 0.2840 data_time: 0.0246 memory: 8198 grad_norm: 5.5058 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5413 loss: 1.5413 2022/08/03 05:16:42 - mmengine - INFO - Epoch(train) [99][1140/1879] lr: 1.0000e-02 eta: 23:22:59 time: 0.2842 data_time: 0.0200 memory: 8198 grad_norm: 5.4817 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/08/03 05:16:48 - mmengine - INFO - Epoch(train) [99][1160/1879] lr: 1.0000e-02 eta: 23:22:53 time: 0.2870 data_time: 0.0233 memory: 8198 grad_norm: 5.5682 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5690 loss: 1.5690 2022/08/03 05:16:53 - mmengine - INFO - Epoch(train) [99][1180/1879] lr: 1.0000e-02 eta: 23:22:48 time: 0.2877 data_time: 0.0220 memory: 8198 grad_norm: 5.7230 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7075 loss: 1.7075 2022/08/03 05:16:59 - mmengine - INFO - Epoch(train) [99][1200/1879] lr: 1.0000e-02 eta: 23:22:42 time: 0.2827 data_time: 0.0204 memory: 8198 grad_norm: 5.5852 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6934 loss: 1.6934 2022/08/03 05:17:05 - mmengine - INFO - Epoch(train) [99][1220/1879] lr: 1.0000e-02 eta: 23:22:36 time: 0.2838 data_time: 0.0268 memory: 8198 grad_norm: 5.4188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7244 loss: 1.7244 2022/08/03 05:17:11 - mmengine - INFO - Epoch(train) [99][1240/1879] lr: 1.0000e-02 eta: 23:22:31 time: 0.2941 data_time: 0.0203 memory: 8198 grad_norm: 5.4965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5537 loss: 1.5537 2022/08/03 05:17:16 - mmengine - INFO - Epoch(train) [99][1260/1879] lr: 1.0000e-02 eta: 23:22:25 time: 0.2805 data_time: 0.0259 memory: 8198 grad_norm: 5.4730 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7316 loss: 1.7316 2022/08/03 05:17:22 - mmengine - INFO - Epoch(train) [99][1280/1879] lr: 1.0000e-02 eta: 23:22:19 time: 0.2809 data_time: 0.0224 memory: 8198 grad_norm: 5.3790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6574 loss: 1.6574 2022/08/03 05:17:28 - mmengine - INFO - Epoch(train) [99][1300/1879] lr: 1.0000e-02 eta: 23:22:14 time: 0.2804 data_time: 0.0249 memory: 8198 grad_norm: 5.6759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7461 loss: 1.7461 2022/08/03 05:17:34 - mmengine - INFO - Epoch(train) [99][1320/1879] lr: 1.0000e-02 eta: 23:22:08 time: 0.2949 data_time: 0.0215 memory: 8198 grad_norm: 5.6666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5755 loss: 1.5755 2022/08/03 05:17:39 - mmengine - INFO - Epoch(train) [99][1340/1879] lr: 1.0000e-02 eta: 23:22:02 time: 0.2792 data_time: 0.0232 memory: 8198 grad_norm: 5.4679 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6035 loss: 1.6035 2022/08/03 05:17:45 - mmengine - INFO - Epoch(train) [99][1360/1879] lr: 1.0000e-02 eta: 23:21:57 time: 0.2875 data_time: 0.0253 memory: 8198 grad_norm: 5.5970 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7450 loss: 1.7450 2022/08/03 05:17:51 - mmengine - INFO - Epoch(train) [99][1380/1879] lr: 1.0000e-02 eta: 23:21:52 time: 0.3087 data_time: 0.0249 memory: 8198 grad_norm: 5.4759 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6495 loss: 1.6495 2022/08/03 05:17:57 - mmengine - INFO - Epoch(train) [99][1400/1879] lr: 1.0000e-02 eta: 23:21:46 time: 0.2813 data_time: 0.0226 memory: 8198 grad_norm: 5.3542 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5653 loss: 1.5653 2022/08/03 05:18:02 - mmengine - INFO - Epoch(train) [99][1420/1879] lr: 1.0000e-02 eta: 23:21:40 time: 0.2844 data_time: 0.0222 memory: 8198 grad_norm: 5.6295 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6702 loss: 1.6702 2022/08/03 05:18:08 - mmengine - INFO - Epoch(train) [99][1440/1879] lr: 1.0000e-02 eta: 23:21:35 time: 0.2882 data_time: 0.0226 memory: 8198 grad_norm: 5.5152 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8979 loss: 1.8979 2022/08/03 05:18:14 - mmengine - INFO - Epoch(train) [99][1460/1879] lr: 1.0000e-02 eta: 23:21:29 time: 0.2983 data_time: 0.0192 memory: 8198 grad_norm: 5.3973 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6276 loss: 1.6276 2022/08/03 05:18:20 - mmengine - INFO - Epoch(train) [99][1480/1879] lr: 1.0000e-02 eta: 23:21:24 time: 0.2894 data_time: 0.0298 memory: 8198 grad_norm: 5.6781 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6050 loss: 1.6050 2022/08/03 05:18:26 - mmengine - INFO - Epoch(train) [99][1500/1879] lr: 1.0000e-02 eta: 23:21:18 time: 0.2806 data_time: 0.0178 memory: 8198 grad_norm: 5.5584 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4546 loss: 1.4546 2022/08/03 05:18:31 - mmengine - INFO - Epoch(train) [99][1520/1879] lr: 1.0000e-02 eta: 23:21:12 time: 0.2848 data_time: 0.0242 memory: 8198 grad_norm: 5.3681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5748 loss: 1.5748 2022/08/03 05:18:37 - mmengine - INFO - Epoch(train) [99][1540/1879] lr: 1.0000e-02 eta: 23:21:07 time: 0.2861 data_time: 0.0227 memory: 8198 grad_norm: 5.4998 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4683 loss: 1.4683 2022/08/03 05:18:43 - mmengine - INFO - Epoch(train) [99][1560/1879] lr: 1.0000e-02 eta: 23:21:01 time: 0.2824 data_time: 0.0236 memory: 8198 grad_norm: 5.5918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8429 loss: 1.8429 2022/08/03 05:18:49 - mmengine - INFO - Epoch(train) [99][1580/1879] lr: 1.0000e-02 eta: 23:20:55 time: 0.2885 data_time: 0.0244 memory: 8198 grad_norm: 5.4429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6697 loss: 1.6697 2022/08/03 05:18:54 - mmengine - INFO - Epoch(train) [99][1600/1879] lr: 1.0000e-02 eta: 23:20:50 time: 0.2919 data_time: 0.0249 memory: 8198 grad_norm: 5.5187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5314 loss: 1.5314 2022/08/03 05:19:00 - mmengine - INFO - Epoch(train) [99][1620/1879] lr: 1.0000e-02 eta: 23:20:44 time: 0.2857 data_time: 0.0237 memory: 8198 grad_norm: 5.3217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5901 loss: 1.5901 2022/08/03 05:19:06 - mmengine - INFO - Epoch(train) [99][1640/1879] lr: 1.0000e-02 eta: 23:20:39 time: 0.2871 data_time: 0.0223 memory: 8198 grad_norm: 5.4278 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7579 loss: 1.7579 2022/08/03 05:19:12 - mmengine - INFO - Epoch(train) [99][1660/1879] lr: 1.0000e-02 eta: 23:20:33 time: 0.2881 data_time: 0.0228 memory: 8198 grad_norm: 5.5535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6104 loss: 1.6104 2022/08/03 05:19:17 - mmengine - INFO - Epoch(train) [99][1680/1879] lr: 1.0000e-02 eta: 23:20:27 time: 0.2820 data_time: 0.0206 memory: 8198 grad_norm: 5.4182 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5006 loss: 1.5006 2022/08/03 05:19:23 - mmengine - INFO - Epoch(train) [99][1700/1879] lr: 1.0000e-02 eta: 23:20:22 time: 0.2811 data_time: 0.0199 memory: 8198 grad_norm: 5.6281 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7117 loss: 1.7117 2022/08/03 05:19:29 - mmengine - INFO - Epoch(train) [99][1720/1879] lr: 1.0000e-02 eta: 23:20:16 time: 0.2911 data_time: 0.0220 memory: 8198 grad_norm: 5.6634 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5692 loss: 1.5692 2022/08/03 05:19:35 - mmengine - INFO - Epoch(train) [99][1740/1879] lr: 1.0000e-02 eta: 23:20:10 time: 0.2859 data_time: 0.0223 memory: 8198 grad_norm: 5.3585 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6527 loss: 1.6527 2022/08/03 05:19:40 - mmengine - INFO - Epoch(train) [99][1760/1879] lr: 1.0000e-02 eta: 23:20:05 time: 0.2828 data_time: 0.0211 memory: 8198 grad_norm: 5.7155 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6780 loss: 1.6780 2022/08/03 05:19:46 - mmengine - INFO - Epoch(train) [99][1780/1879] lr: 1.0000e-02 eta: 23:19:59 time: 0.2829 data_time: 0.0198 memory: 8198 grad_norm: 5.4687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5633 loss: 1.5633 2022/08/03 05:19:52 - mmengine - INFO - Epoch(train) [99][1800/1879] lr: 1.0000e-02 eta: 23:19:54 time: 0.2952 data_time: 0.0226 memory: 8198 grad_norm: 5.5452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4524 loss: 1.4524 2022/08/03 05:19:58 - mmengine - INFO - Epoch(train) [99][1820/1879] lr: 1.0000e-02 eta: 23:19:48 time: 0.2840 data_time: 0.0239 memory: 8198 grad_norm: 5.5702 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8538 loss: 1.8538 2022/08/03 05:20:03 - mmengine - INFO - Epoch(train) [99][1840/1879] lr: 1.0000e-02 eta: 23:19:42 time: 0.2898 data_time: 0.0236 memory: 8198 grad_norm: 5.4246 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5613 loss: 1.5613 2022/08/03 05:20:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:20:09 - mmengine - INFO - Epoch(train) [99][1860/1879] lr: 1.0000e-02 eta: 23:19:37 time: 0.2870 data_time: 0.0210 memory: 8198 grad_norm: 5.6797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/08/03 05:20:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:20:14 - mmengine - INFO - Epoch(train) [99][1879/1879] lr: 1.0000e-02 eta: 23:19:37 time: 0.2607 data_time: 0.0171 memory: 8198 grad_norm: 5.4858 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7825 loss: 1.7825 2022/08/03 05:20:22 - mmengine - INFO - Epoch(train) [100][20/1879] lr: 1.0000e-02 eta: 23:19:21 time: 0.4089 data_time: 0.1315 memory: 8198 grad_norm: 5.3745 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4783 loss: 1.4783 2022/08/03 05:20:28 - mmengine - INFO - Epoch(train) [100][40/1879] lr: 1.0000e-02 eta: 23:19:15 time: 0.2904 data_time: 0.0205 memory: 8198 grad_norm: 5.3987 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6281 loss: 1.6281 2022/08/03 05:20:34 - mmengine - INFO - Epoch(train) [100][60/1879] lr: 1.0000e-02 eta: 23:19:10 time: 0.2897 data_time: 0.0232 memory: 8198 grad_norm: 5.4532 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4185 loss: 1.4185 2022/08/03 05:20:40 - mmengine - INFO - Epoch(train) [100][80/1879] lr: 1.0000e-02 eta: 23:19:04 time: 0.2849 data_time: 0.0233 memory: 8198 grad_norm: 5.3167 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5167 loss: 1.5167 2022/08/03 05:20:45 - mmengine - INFO - Epoch(train) [100][100/1879] lr: 1.0000e-02 eta: 23:18:59 time: 0.2871 data_time: 0.0238 memory: 8198 grad_norm: 5.4471 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6701 loss: 1.6701 2022/08/03 05:20:51 - mmengine - INFO - Epoch(train) [100][120/1879] lr: 1.0000e-02 eta: 23:18:53 time: 0.2851 data_time: 0.0224 memory: 8198 grad_norm: 5.3454 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/08/03 05:20:57 - mmengine - INFO - Epoch(train) [100][140/1879] lr: 1.0000e-02 eta: 23:18:47 time: 0.2830 data_time: 0.0222 memory: 8198 grad_norm: 5.4068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5350 loss: 1.5350 2022/08/03 05:21:02 - mmengine - INFO - Epoch(train) [100][160/1879] lr: 1.0000e-02 eta: 23:18:41 time: 0.2816 data_time: 0.0240 memory: 8198 grad_norm: 5.4353 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6402 loss: 1.6402 2022/08/03 05:21:08 - mmengine - INFO - Epoch(train) [100][180/1879] lr: 1.0000e-02 eta: 23:18:36 time: 0.2837 data_time: 0.0236 memory: 8198 grad_norm: 5.4978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4694 loss: 1.4694 2022/08/03 05:21:14 - mmengine - INFO - Epoch(train) [100][200/1879] lr: 1.0000e-02 eta: 23:18:30 time: 0.2975 data_time: 0.0264 memory: 8198 grad_norm: 5.4770 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4583 loss: 1.4583 2022/08/03 05:21:20 - mmengine - INFO - Epoch(train) [100][220/1879] lr: 1.0000e-02 eta: 23:18:25 time: 0.2848 data_time: 0.0297 memory: 8198 grad_norm: 5.5469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6014 loss: 1.6014 2022/08/03 05:21:25 - mmengine - INFO - Epoch(train) [100][240/1879] lr: 1.0000e-02 eta: 23:18:19 time: 0.2853 data_time: 0.0286 memory: 8198 grad_norm: 5.5418 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6945 loss: 1.6945 2022/08/03 05:21:31 - mmengine - INFO - Epoch(train) [100][260/1879] lr: 1.0000e-02 eta: 23:18:13 time: 0.2847 data_time: 0.0210 memory: 8198 grad_norm: 5.3864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4528 loss: 1.4528 2022/08/03 05:21:37 - mmengine - INFO - Epoch(train) [100][280/1879] lr: 1.0000e-02 eta: 23:18:08 time: 0.2835 data_time: 0.0202 memory: 8198 grad_norm: 5.4763 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6172 loss: 1.6172 2022/08/03 05:21:43 - mmengine - INFO - Epoch(train) [100][300/1879] lr: 1.0000e-02 eta: 23:18:02 time: 0.2837 data_time: 0.0236 memory: 8198 grad_norm: 5.5460 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6072 loss: 1.6072 2022/08/03 05:21:48 - mmengine - INFO - Epoch(train) [100][320/1879] lr: 1.0000e-02 eta: 23:17:56 time: 0.2868 data_time: 0.0241 memory: 8198 grad_norm: 5.4027 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6211 loss: 1.6211 2022/08/03 05:21:54 - mmengine - INFO - Epoch(train) [100][340/1879] lr: 1.0000e-02 eta: 23:17:51 time: 0.2856 data_time: 0.0225 memory: 8198 grad_norm: 5.6958 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8477 loss: 1.8477 2022/08/03 05:22:00 - mmengine - INFO - Epoch(train) [100][360/1879] lr: 1.0000e-02 eta: 23:17:45 time: 0.2850 data_time: 0.0205 memory: 8198 grad_norm: 5.5297 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6489 loss: 1.6489 2022/08/03 05:22:06 - mmengine - INFO - Epoch(train) [100][380/1879] lr: 1.0000e-02 eta: 23:17:39 time: 0.2899 data_time: 0.0227 memory: 8198 grad_norm: 5.5326 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5812 loss: 1.5812 2022/08/03 05:22:11 - mmengine - INFO - Epoch(train) [100][400/1879] lr: 1.0000e-02 eta: 23:17:34 time: 0.2910 data_time: 0.0234 memory: 8198 grad_norm: 5.5087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4536 loss: 1.4536 2022/08/03 05:22:17 - mmengine - INFO - Epoch(train) [100][420/1879] lr: 1.0000e-02 eta: 23:17:28 time: 0.2837 data_time: 0.0235 memory: 8198 grad_norm: 5.4851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6940 loss: 1.6940 2022/08/03 05:22:23 - mmengine - INFO - Epoch(train) [100][440/1879] lr: 1.0000e-02 eta: 23:17:22 time: 0.2846 data_time: 0.0228 memory: 8198 grad_norm: 5.4159 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5082 loss: 1.5082 2022/08/03 05:22:28 - mmengine - INFO - Epoch(train) [100][460/1879] lr: 1.0000e-02 eta: 23:17:17 time: 0.2808 data_time: 0.0218 memory: 8198 grad_norm: 5.5988 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5255 loss: 1.5255 2022/08/03 05:22:34 - mmengine - INFO - Epoch(train) [100][480/1879] lr: 1.0000e-02 eta: 23:17:11 time: 0.2978 data_time: 0.0213 memory: 8198 grad_norm: 5.6029 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5418 loss: 1.5418 2022/08/03 05:22:40 - mmengine - INFO - Epoch(train) [100][500/1879] lr: 1.0000e-02 eta: 23:17:06 time: 0.2900 data_time: 0.0336 memory: 8198 grad_norm: 5.5602 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6457 loss: 1.6457 2022/08/03 05:22:46 - mmengine - INFO - Epoch(train) [100][520/1879] lr: 1.0000e-02 eta: 23:17:00 time: 0.2802 data_time: 0.0263 memory: 8198 grad_norm: 5.5420 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6929 loss: 1.6929 2022/08/03 05:22:52 - mmengine - INFO - Epoch(train) [100][540/1879] lr: 1.0000e-02 eta: 23:16:54 time: 0.2873 data_time: 0.0221 memory: 8198 grad_norm: 5.4801 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7873 loss: 1.7873 2022/08/03 05:22:57 - mmengine - INFO - Epoch(train) [100][560/1879] lr: 1.0000e-02 eta: 23:16:49 time: 0.2835 data_time: 0.0236 memory: 8198 grad_norm: 5.3759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7497 loss: 1.7497 2022/08/03 05:23:03 - mmengine - INFO - Epoch(train) [100][580/1879] lr: 1.0000e-02 eta: 23:16:43 time: 0.2848 data_time: 0.0247 memory: 8198 grad_norm: 5.4651 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6547 loss: 1.6547 2022/08/03 05:23:09 - mmengine - INFO - Epoch(train) [100][600/1879] lr: 1.0000e-02 eta: 23:16:37 time: 0.2826 data_time: 0.0241 memory: 8198 grad_norm: 5.4863 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8051 loss: 1.8051 2022/08/03 05:23:15 - mmengine - INFO - Epoch(train) [100][620/1879] lr: 1.0000e-02 eta: 23:16:32 time: 0.2933 data_time: 0.0223 memory: 8198 grad_norm: 5.4875 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5375 loss: 1.5375 2022/08/03 05:23:20 - mmengine - INFO - Epoch(train) [100][640/1879] lr: 1.0000e-02 eta: 23:16:26 time: 0.2903 data_time: 0.0246 memory: 8198 grad_norm: 5.6912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6459 loss: 1.6459 2022/08/03 05:23:26 - mmengine - INFO - Epoch(train) [100][660/1879] lr: 1.0000e-02 eta: 23:16:20 time: 0.2810 data_time: 0.0215 memory: 8198 grad_norm: 5.3690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7107 loss: 1.7107 2022/08/03 05:23:32 - mmengine - INFO - Epoch(train) [100][680/1879] lr: 1.0000e-02 eta: 23:16:15 time: 0.2967 data_time: 0.0220 memory: 8198 grad_norm: 5.5232 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4850 loss: 1.4850 2022/08/03 05:23:38 - mmengine - INFO - Epoch(train) [100][700/1879] lr: 1.0000e-02 eta: 23:16:09 time: 0.2793 data_time: 0.0196 memory: 8198 grad_norm: 5.4129 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7233 loss: 1.7233 2022/08/03 05:23:43 - mmengine - INFO - Epoch(train) [100][720/1879] lr: 1.0000e-02 eta: 23:16:04 time: 0.2830 data_time: 0.0240 memory: 8198 grad_norm: 5.5477 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4846 loss: 1.4846 2022/08/03 05:23:49 - mmengine - INFO - Epoch(train) [100][740/1879] lr: 1.0000e-02 eta: 23:15:58 time: 0.2849 data_time: 0.0194 memory: 8198 grad_norm: 5.4677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6520 loss: 1.6520 2022/08/03 05:23:55 - mmengine - INFO - Epoch(train) [100][760/1879] lr: 1.0000e-02 eta: 23:15:52 time: 0.2873 data_time: 0.0269 memory: 8198 grad_norm: 5.5165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6655 loss: 1.6655 2022/08/03 05:24:00 - mmengine - INFO - Epoch(train) [100][780/1879] lr: 1.0000e-02 eta: 23:15:47 time: 0.2852 data_time: 0.0222 memory: 8198 grad_norm: 5.4368 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3268 loss: 1.3268 2022/08/03 05:24:06 - mmengine - INFO - Epoch(train) [100][800/1879] lr: 1.0000e-02 eta: 23:15:41 time: 0.2840 data_time: 0.0231 memory: 8198 grad_norm: 5.5321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5683 loss: 1.5683 2022/08/03 05:24:12 - mmengine - INFO - Epoch(train) [100][820/1879] lr: 1.0000e-02 eta: 23:15:35 time: 0.2839 data_time: 0.0225 memory: 8198 grad_norm: 5.6457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7864 loss: 1.7864 2022/08/03 05:24:18 - mmengine - INFO - Epoch(train) [100][840/1879] lr: 1.0000e-02 eta: 23:15:29 time: 0.2848 data_time: 0.0233 memory: 8198 grad_norm: 5.4023 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7638 loss: 1.7638 2022/08/03 05:24:23 - mmengine - INFO - Epoch(train) [100][860/1879] lr: 1.0000e-02 eta: 23:15:24 time: 0.2809 data_time: 0.0200 memory: 8198 grad_norm: 5.6251 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8129 loss: 1.8129 2022/08/03 05:24:29 - mmengine - INFO - Epoch(train) [100][880/1879] lr: 1.0000e-02 eta: 23:15:18 time: 0.2811 data_time: 0.0189 memory: 8198 grad_norm: 5.5700 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5615 loss: 1.5615 2022/08/03 05:24:35 - mmengine - INFO - Epoch(train) [100][900/1879] lr: 1.0000e-02 eta: 23:15:12 time: 0.2840 data_time: 0.0267 memory: 8198 grad_norm: 5.6172 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6477 loss: 1.6477 2022/08/03 05:24:40 - mmengine - INFO - Epoch(train) [100][920/1879] lr: 1.0000e-02 eta: 23:15:07 time: 0.2970 data_time: 0.0222 memory: 8198 grad_norm: 5.5881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6973 loss: 1.6973 2022/08/03 05:24:46 - mmengine - INFO - Epoch(train) [100][940/1879] lr: 1.0000e-02 eta: 23:15:01 time: 0.2788 data_time: 0.0198 memory: 8198 grad_norm: 5.4634 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6727 loss: 1.6727 2022/08/03 05:24:52 - mmengine - INFO - Epoch(train) [100][960/1879] lr: 1.0000e-02 eta: 23:14:55 time: 0.2838 data_time: 0.0250 memory: 8198 grad_norm: 5.5738 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8328 loss: 1.8328 2022/08/03 05:24:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:24:57 - mmengine - INFO - Epoch(train) [100][980/1879] lr: 1.0000e-02 eta: 23:14:50 time: 0.2847 data_time: 0.0242 memory: 8198 grad_norm: 5.4380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5742 loss: 1.5742 2022/08/03 05:25:03 - mmengine - INFO - Epoch(train) [100][1000/1879] lr: 1.0000e-02 eta: 23:14:44 time: 0.2851 data_time: 0.0262 memory: 8198 grad_norm: 5.4602 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5537 loss: 1.5537 2022/08/03 05:25:09 - mmengine - INFO - Epoch(train) [100][1020/1879] lr: 1.0000e-02 eta: 23:14:38 time: 0.2824 data_time: 0.0205 memory: 8198 grad_norm: 5.4968 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5738 loss: 1.5738 2022/08/03 05:25:15 - mmengine - INFO - Epoch(train) [100][1040/1879] lr: 1.0000e-02 eta: 23:14:33 time: 0.2881 data_time: 0.0229 memory: 8198 grad_norm: 5.4770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7175 loss: 1.7175 2022/08/03 05:25:20 - mmengine - INFO - Epoch(train) [100][1060/1879] lr: 1.0000e-02 eta: 23:14:27 time: 0.2891 data_time: 0.0263 memory: 8198 grad_norm: 5.4498 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3980 loss: 1.3980 2022/08/03 05:25:26 - mmengine - INFO - Epoch(train) [100][1080/1879] lr: 1.0000e-02 eta: 23:14:21 time: 0.2826 data_time: 0.0249 memory: 8198 grad_norm: 5.5733 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4955 loss: 1.4955 2022/08/03 05:25:32 - mmengine - INFO - Epoch(train) [100][1100/1879] lr: 1.0000e-02 eta: 23:14:16 time: 0.2857 data_time: 0.0234 memory: 8198 grad_norm: 5.5041 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5666 loss: 1.5666 2022/08/03 05:25:37 - mmengine - INFO - Epoch(train) [100][1120/1879] lr: 1.0000e-02 eta: 23:14:10 time: 0.2817 data_time: 0.0258 memory: 8198 grad_norm: 5.4785 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6812 loss: 1.6812 2022/08/03 05:25:43 - mmengine - INFO - Epoch(train) [100][1140/1879] lr: 1.0000e-02 eta: 23:14:04 time: 0.2837 data_time: 0.0225 memory: 8198 grad_norm: 5.4365 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/08/03 05:25:49 - mmengine - INFO - Epoch(train) [100][1160/1879] lr: 1.0000e-02 eta: 23:13:58 time: 0.2846 data_time: 0.0233 memory: 8198 grad_norm: 5.4648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5560 loss: 1.5560 2022/08/03 05:25:55 - mmengine - INFO - Epoch(train) [100][1180/1879] lr: 1.0000e-02 eta: 23:13:53 time: 0.2847 data_time: 0.0209 memory: 8198 grad_norm: 5.5496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6550 loss: 1.6550 2022/08/03 05:26:01 - mmengine - INFO - Epoch(train) [100][1200/1879] lr: 1.0000e-02 eta: 23:13:47 time: 0.2958 data_time: 0.0230 memory: 8198 grad_norm: 5.6444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6094 loss: 1.6094 2022/08/03 05:26:06 - mmengine - INFO - Epoch(train) [100][1220/1879] lr: 1.0000e-02 eta: 23:13:42 time: 0.2813 data_time: 0.0221 memory: 8198 grad_norm: 5.5879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5945 loss: 1.5945 2022/08/03 05:26:12 - mmengine - INFO - Epoch(train) [100][1240/1879] lr: 1.0000e-02 eta: 23:13:36 time: 0.2858 data_time: 0.0258 memory: 8198 grad_norm: 5.6392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6012 loss: 1.6012 2022/08/03 05:26:18 - mmengine - INFO - Epoch(train) [100][1260/1879] lr: 1.0000e-02 eta: 23:13:30 time: 0.2898 data_time: 0.0311 memory: 8198 grad_norm: 5.6089 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5025 loss: 1.5025 2022/08/03 05:26:23 - mmengine - INFO - Epoch(train) [100][1280/1879] lr: 1.0000e-02 eta: 23:13:25 time: 0.2882 data_time: 0.0196 memory: 8198 grad_norm: 5.5619 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5860 loss: 1.5860 2022/08/03 05:26:29 - mmengine - INFO - Epoch(train) [100][1300/1879] lr: 1.0000e-02 eta: 23:13:19 time: 0.2805 data_time: 0.0207 memory: 8198 grad_norm: 5.4825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4907 loss: 1.4907 2022/08/03 05:26:35 - mmengine - INFO - Epoch(train) [100][1320/1879] lr: 1.0000e-02 eta: 23:13:13 time: 0.2893 data_time: 0.0238 memory: 8198 grad_norm: 5.4478 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6399 loss: 1.6399 2022/08/03 05:26:41 - mmengine - INFO - Epoch(train) [100][1340/1879] lr: 1.0000e-02 eta: 23:13:08 time: 0.2975 data_time: 0.0226 memory: 8198 grad_norm: 5.4879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5638 loss: 1.5638 2022/08/03 05:26:47 - mmengine - INFO - Epoch(train) [100][1360/1879] lr: 1.0000e-02 eta: 23:13:02 time: 0.2816 data_time: 0.0244 memory: 8198 grad_norm: 5.5745 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6709 loss: 1.6709 2022/08/03 05:26:52 - mmengine - INFO - Epoch(train) [100][1380/1879] lr: 1.0000e-02 eta: 23:12:57 time: 0.2852 data_time: 0.0236 memory: 8198 grad_norm: 5.5000 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6856 loss: 1.6856 2022/08/03 05:26:58 - mmengine - INFO - Epoch(train) [100][1400/1879] lr: 1.0000e-02 eta: 23:12:51 time: 0.2851 data_time: 0.0201 memory: 8198 grad_norm: 5.4318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5379 loss: 1.5379 2022/08/03 05:27:04 - mmengine - INFO - Epoch(train) [100][1420/1879] lr: 1.0000e-02 eta: 23:12:45 time: 0.2848 data_time: 0.0279 memory: 8198 grad_norm: 5.4681 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7138 loss: 1.7138 2022/08/03 05:27:09 - mmengine - INFO - Epoch(train) [100][1440/1879] lr: 1.0000e-02 eta: 23:12:40 time: 0.2898 data_time: 0.0221 memory: 8198 grad_norm: 5.4400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6110 loss: 1.6110 2022/08/03 05:27:15 - mmengine - INFO - Epoch(train) [100][1460/1879] lr: 1.0000e-02 eta: 23:12:34 time: 0.2903 data_time: 0.0220 memory: 8198 grad_norm: 5.5508 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7515 loss: 1.7515 2022/08/03 05:27:21 - mmengine - INFO - Epoch(train) [100][1480/1879] lr: 1.0000e-02 eta: 23:12:28 time: 0.2782 data_time: 0.0229 memory: 8198 grad_norm: 5.3565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8539 loss: 1.8539 2022/08/03 05:27:27 - mmengine - INFO - Epoch(train) [100][1500/1879] lr: 1.0000e-02 eta: 23:12:23 time: 0.2833 data_time: 0.0243 memory: 8198 grad_norm: 5.3281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6745 loss: 1.6745 2022/08/03 05:27:32 - mmengine - INFO - Epoch(train) [100][1520/1879] lr: 1.0000e-02 eta: 23:12:17 time: 0.2857 data_time: 0.0223 memory: 8198 grad_norm: 5.3893 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6352 loss: 1.6352 2022/08/03 05:27:38 - mmengine - INFO - Epoch(train) [100][1540/1879] lr: 1.0000e-02 eta: 23:12:11 time: 0.2797 data_time: 0.0213 memory: 8198 grad_norm: 5.5558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7230 loss: 1.7230 2022/08/03 05:27:44 - mmengine - INFO - Epoch(train) [100][1560/1879] lr: 1.0000e-02 eta: 23:12:05 time: 0.2857 data_time: 0.0249 memory: 8198 grad_norm: 5.3945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7167 loss: 1.7167 2022/08/03 05:27:49 - mmengine - INFO - Epoch(train) [100][1580/1879] lr: 1.0000e-02 eta: 23:12:00 time: 0.2839 data_time: 0.0228 memory: 8198 grad_norm: 5.6621 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6909 loss: 1.6909 2022/08/03 05:27:55 - mmengine - INFO - Epoch(train) [100][1600/1879] lr: 1.0000e-02 eta: 23:11:54 time: 0.2849 data_time: 0.0228 memory: 8198 grad_norm: 5.3572 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4110 loss: 1.4110 2022/08/03 05:28:01 - mmengine - INFO - Epoch(train) [100][1620/1879] lr: 1.0000e-02 eta: 23:11:49 time: 0.2912 data_time: 0.0206 memory: 8198 grad_norm: 5.4057 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6209 loss: 1.6209 2022/08/03 05:28:07 - mmengine - INFO - Epoch(train) [100][1640/1879] lr: 1.0000e-02 eta: 23:11:43 time: 0.2853 data_time: 0.0248 memory: 8198 grad_norm: 5.4500 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5992 loss: 1.5992 2022/08/03 05:28:12 - mmengine - INFO - Epoch(train) [100][1660/1879] lr: 1.0000e-02 eta: 23:11:37 time: 0.2876 data_time: 0.0183 memory: 8198 grad_norm: 5.4556 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6545 loss: 1.6545 2022/08/03 05:28:18 - mmengine - INFO - Epoch(train) [100][1680/1879] lr: 1.0000e-02 eta: 23:11:32 time: 0.2887 data_time: 0.0230 memory: 8198 grad_norm: 5.4957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5013 loss: 1.5013 2022/08/03 05:28:24 - mmengine - INFO - Epoch(train) [100][1700/1879] lr: 1.0000e-02 eta: 23:11:26 time: 0.2986 data_time: 0.0198 memory: 8198 grad_norm: 5.4287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7515 loss: 1.7515 2022/08/03 05:28:30 - mmengine - INFO - Epoch(train) [100][1720/1879] lr: 1.0000e-02 eta: 23:11:21 time: 0.2859 data_time: 0.0236 memory: 8198 grad_norm: 5.4813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3477 loss: 1.3477 2022/08/03 05:28:36 - mmengine - INFO - Epoch(train) [100][1740/1879] lr: 1.0000e-02 eta: 23:11:15 time: 0.2819 data_time: 0.0262 memory: 8198 grad_norm: 5.5214 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6076 loss: 1.6076 2022/08/03 05:28:41 - mmengine - INFO - Epoch(train) [100][1760/1879] lr: 1.0000e-02 eta: 23:11:09 time: 0.2824 data_time: 0.0196 memory: 8198 grad_norm: 5.3182 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4334 loss: 1.4334 2022/08/03 05:28:47 - mmengine - INFO - Epoch(train) [100][1780/1879] lr: 1.0000e-02 eta: 23:11:04 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 5.6648 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4923 loss: 1.4923 2022/08/03 05:28:53 - mmengine - INFO - Epoch(train) [100][1800/1879] lr: 1.0000e-02 eta: 23:10:58 time: 0.2857 data_time: 0.0221 memory: 8198 grad_norm: 5.4441 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4895 loss: 1.4895 2022/08/03 05:28:58 - mmengine - INFO - Epoch(train) [100][1820/1879] lr: 1.0000e-02 eta: 23:10:52 time: 0.2814 data_time: 0.0203 memory: 8198 grad_norm: 5.4138 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3970 loss: 1.3970 2022/08/03 05:29:04 - mmengine - INFO - Epoch(train) [100][1840/1879] lr: 1.0000e-02 eta: 23:10:46 time: 0.2857 data_time: 0.0248 memory: 8198 grad_norm: 5.7209 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7458 loss: 1.7458 2022/08/03 05:29:10 - mmengine - INFO - Epoch(train) [100][1860/1879] lr: 1.0000e-02 eta: 23:10:41 time: 0.2859 data_time: 0.0232 memory: 8198 grad_norm: 5.4120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/08/03 05:29:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:29:15 - mmengine - INFO - Epoch(train) [100][1879/1879] lr: 1.0000e-02 eta: 23:10:41 time: 0.2717 data_time: 0.0163 memory: 8198 grad_norm: 5.7193 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6607 loss: 1.6607 2022/08/03 05:29:15 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/03 05:29:24 - mmengine - INFO - Epoch(val) [100][20/155] eta: 0:00:44 time: 0.3295 data_time: 0.2432 memory: 1514 2022/08/03 05:29:29 - mmengine - INFO - Epoch(val) [100][40/155] eta: 0:00:29 time: 0.2554 data_time: 0.1688 memory: 1514 2022/08/03 05:29:34 - mmengine - INFO - Epoch(val) [100][60/155] eta: 0:00:27 time: 0.2879 data_time: 0.1984 memory: 1514 2022/08/03 05:29:39 - mmengine - INFO - Epoch(val) [100][80/155] eta: 0:00:18 time: 0.2438 data_time: 0.1566 memory: 1514 2022/08/03 05:29:45 - mmengine - INFO - Epoch(val) [100][100/155] eta: 0:00:15 time: 0.2870 data_time: 0.2022 memory: 1514 2022/08/03 05:29:50 - mmengine - INFO - Epoch(val) [100][120/155] eta: 0:00:08 time: 0.2527 data_time: 0.1673 memory: 1514 2022/08/03 05:29:56 - mmengine - INFO - Epoch(val) [100][140/155] eta: 0:00:04 time: 0.2792 data_time: 0.1946 memory: 1514 2022/08/03 05:30:00 - mmengine - INFO - Epoch(val) [100][155/155] acc/top1: 0.6307 acc/top5: 0.8419 acc/mean1: 0.6306 2022/08/03 05:30:08 - mmengine - INFO - Epoch(train) [101][20/1879] lr: 1.0000e-03 eta: 23:10:25 time: 0.4040 data_time: 0.1279 memory: 8198 grad_norm: 5.3454 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6238 loss: 1.6238 2022/08/03 05:30:14 - mmengine - INFO - Epoch(train) [101][40/1879] lr: 1.0000e-03 eta: 23:10:19 time: 0.2911 data_time: 0.0228 memory: 8198 grad_norm: 5.3888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5336 loss: 1.5336 2022/08/03 05:30:21 - mmengine - INFO - Epoch(train) [101][60/1879] lr: 1.0000e-03 eta: 23:10:15 time: 0.3385 data_time: 0.0568 memory: 8198 grad_norm: 5.2432 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2826 loss: 1.2826 2022/08/03 05:30:26 - mmengine - INFO - Epoch(train) [101][80/1879] lr: 1.0000e-03 eta: 23:10:10 time: 0.2817 data_time: 0.0210 memory: 8198 grad_norm: 5.1845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3854 loss: 1.3854 2022/08/03 05:30:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:30:32 - mmengine - INFO - Epoch(train) [101][100/1879] lr: 1.0000e-03 eta: 23:10:04 time: 0.2905 data_time: 0.0230 memory: 8198 grad_norm: 5.2080 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/08/03 05:30:38 - mmengine - INFO - Epoch(train) [101][120/1879] lr: 1.0000e-03 eta: 23:09:58 time: 0.2808 data_time: 0.0210 memory: 8198 grad_norm: 5.3254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6348 loss: 1.6348 2022/08/03 05:30:44 - mmengine - INFO - Epoch(train) [101][140/1879] lr: 1.0000e-03 eta: 23:09:53 time: 0.2846 data_time: 0.0230 memory: 8198 grad_norm: 5.3124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4146 loss: 1.4146 2022/08/03 05:30:49 - mmengine - INFO - Epoch(train) [101][160/1879] lr: 1.0000e-03 eta: 23:09:47 time: 0.2818 data_time: 0.0238 memory: 8198 grad_norm: 5.2276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5878 loss: 1.5878 2022/08/03 05:30:55 - mmengine - INFO - Epoch(train) [101][180/1879] lr: 1.0000e-03 eta: 23:09:41 time: 0.2863 data_time: 0.0254 memory: 8198 grad_norm: 5.1666 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4382 loss: 1.4382 2022/08/03 05:31:01 - mmengine - INFO - Epoch(train) [101][200/1879] lr: 1.0000e-03 eta: 23:09:36 time: 0.2942 data_time: 0.0213 memory: 8198 grad_norm: 5.0973 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3279 loss: 1.3279 2022/08/03 05:31:07 - mmengine - INFO - Epoch(train) [101][220/1879] lr: 1.0000e-03 eta: 23:09:30 time: 0.2833 data_time: 0.0256 memory: 8198 grad_norm: 5.3097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3961 loss: 1.3961 2022/08/03 05:31:12 - mmengine - INFO - Epoch(train) [101][240/1879] lr: 1.0000e-03 eta: 23:09:24 time: 0.2858 data_time: 0.0268 memory: 8198 grad_norm: 5.1520 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5281 loss: 1.5281 2022/08/03 05:31:18 - mmengine - INFO - Epoch(train) [101][260/1879] lr: 1.0000e-03 eta: 23:09:19 time: 0.2850 data_time: 0.0243 memory: 8198 grad_norm: 5.1398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/08/03 05:31:24 - mmengine - INFO - Epoch(train) [101][280/1879] lr: 1.0000e-03 eta: 23:09:13 time: 0.2822 data_time: 0.0203 memory: 8198 grad_norm: 5.0504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4693 loss: 1.4693 2022/08/03 05:31:29 - mmengine - INFO - Epoch(train) [101][300/1879] lr: 1.0000e-03 eta: 23:09:07 time: 0.2877 data_time: 0.0272 memory: 8198 grad_norm: 4.9909 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4189 loss: 1.4189 2022/08/03 05:31:35 - mmengine - INFO - Epoch(train) [101][320/1879] lr: 1.0000e-03 eta: 23:09:02 time: 0.2939 data_time: 0.0184 memory: 8198 grad_norm: 5.1320 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4154 loss: 1.4154 2022/08/03 05:31:41 - mmengine - INFO - Epoch(train) [101][340/1879] lr: 1.0000e-03 eta: 23:08:56 time: 0.2894 data_time: 0.0313 memory: 8198 grad_norm: 5.1864 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6404 loss: 1.6404 2022/08/03 05:31:47 - mmengine - INFO - Epoch(train) [101][360/1879] lr: 1.0000e-03 eta: 23:08:51 time: 0.2828 data_time: 0.0209 memory: 8198 grad_norm: 5.2437 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5700 loss: 1.5700 2022/08/03 05:31:53 - mmengine - INFO - Epoch(train) [101][380/1879] lr: 1.0000e-03 eta: 23:08:45 time: 0.2923 data_time: 0.0287 memory: 8198 grad_norm: 5.0861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4249 loss: 1.4249 2022/08/03 05:31:58 - mmengine - INFO - Epoch(train) [101][400/1879] lr: 1.0000e-03 eta: 23:08:40 time: 0.2851 data_time: 0.0238 memory: 8198 grad_norm: 5.1264 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4206 loss: 1.4206 2022/08/03 05:32:04 - mmengine - INFO - Epoch(train) [101][420/1879] lr: 1.0000e-03 eta: 23:08:34 time: 0.2856 data_time: 0.0247 memory: 8198 grad_norm: 4.9997 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1930 loss: 1.1930 2022/08/03 05:32:10 - mmengine - INFO - Epoch(train) [101][440/1879] lr: 1.0000e-03 eta: 23:08:28 time: 0.2847 data_time: 0.0225 memory: 8198 grad_norm: 5.3814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6688 loss: 1.6688 2022/08/03 05:32:16 - mmengine - INFO - Epoch(train) [101][460/1879] lr: 1.0000e-03 eta: 23:08:23 time: 0.2904 data_time: 0.0204 memory: 8198 grad_norm: 5.2543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4286 loss: 1.4286 2022/08/03 05:32:21 - mmengine - INFO - Epoch(train) [101][480/1879] lr: 1.0000e-03 eta: 23:08:17 time: 0.2840 data_time: 0.0213 memory: 8198 grad_norm: 5.2902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3600 loss: 1.3600 2022/08/03 05:32:27 - mmengine - INFO - Epoch(train) [101][500/1879] lr: 1.0000e-03 eta: 23:08:11 time: 0.2857 data_time: 0.0255 memory: 8198 grad_norm: 5.1009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/08/03 05:32:33 - mmengine - INFO - Epoch(train) [101][520/1879] lr: 1.0000e-03 eta: 23:08:06 time: 0.2867 data_time: 0.0226 memory: 8198 grad_norm: 5.2456 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6536 loss: 1.6536 2022/08/03 05:32:39 - mmengine - INFO - Epoch(train) [101][540/1879] lr: 1.0000e-03 eta: 23:08:00 time: 0.2829 data_time: 0.0229 memory: 8198 grad_norm: 5.2321 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4596 loss: 1.4596 2022/08/03 05:32:44 - mmengine - INFO - Epoch(train) [101][560/1879] lr: 1.0000e-03 eta: 23:07:54 time: 0.2859 data_time: 0.0203 memory: 8198 grad_norm: 5.3035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5875 loss: 1.5875 2022/08/03 05:32:50 - mmengine - INFO - Epoch(train) [101][580/1879] lr: 1.0000e-03 eta: 23:07:49 time: 0.2883 data_time: 0.0209 memory: 8198 grad_norm: 5.0838 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3562 loss: 1.3562 2022/08/03 05:32:56 - mmengine - INFO - Epoch(train) [101][600/1879] lr: 1.0000e-03 eta: 23:07:43 time: 0.2845 data_time: 0.0194 memory: 8198 grad_norm: 5.3492 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4128 loss: 1.4128 2022/08/03 05:33:02 - mmengine - INFO - Epoch(train) [101][620/1879] lr: 1.0000e-03 eta: 23:07:37 time: 0.2892 data_time: 0.0253 memory: 8198 grad_norm: 5.1308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4852 loss: 1.4852 2022/08/03 05:33:07 - mmengine - INFO - Epoch(train) [101][640/1879] lr: 1.0000e-03 eta: 23:07:32 time: 0.2853 data_time: 0.0227 memory: 8198 grad_norm: 5.1287 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/08/03 05:33:13 - mmengine - INFO - Epoch(train) [101][660/1879] lr: 1.0000e-03 eta: 23:07:26 time: 0.2884 data_time: 0.0244 memory: 8198 grad_norm: 5.2480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2326 loss: 1.2326 2022/08/03 05:33:19 - mmengine - INFO - Epoch(train) [101][680/1879] lr: 1.0000e-03 eta: 23:07:20 time: 0.2843 data_time: 0.0231 memory: 8198 grad_norm: 5.2528 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2882 loss: 1.2882 2022/08/03 05:33:25 - mmengine - INFO - Epoch(train) [101][700/1879] lr: 1.0000e-03 eta: 23:07:15 time: 0.2926 data_time: 0.0216 memory: 8198 grad_norm: 5.2492 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/08/03 05:33:30 - mmengine - INFO - Epoch(train) [101][720/1879] lr: 1.0000e-03 eta: 23:07:09 time: 0.2884 data_time: 0.0234 memory: 8198 grad_norm: 5.1659 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3905 loss: 1.3905 2022/08/03 05:33:36 - mmengine - INFO - Epoch(train) [101][740/1879] lr: 1.0000e-03 eta: 23:07:04 time: 0.2831 data_time: 0.0239 memory: 8198 grad_norm: 5.1750 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4266 loss: 1.4266 2022/08/03 05:33:42 - mmengine - INFO - Epoch(train) [101][760/1879] lr: 1.0000e-03 eta: 23:06:58 time: 0.2840 data_time: 0.0214 memory: 8198 grad_norm: 5.4277 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5977 loss: 1.5977 2022/08/03 05:33:48 - mmengine - INFO - Epoch(train) [101][780/1879] lr: 1.0000e-03 eta: 23:06:52 time: 0.2850 data_time: 0.0232 memory: 8198 grad_norm: 5.1643 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4535 loss: 1.4535 2022/08/03 05:33:53 - mmengine - INFO - Epoch(train) [101][800/1879] lr: 1.0000e-03 eta: 23:06:47 time: 0.2891 data_time: 0.0296 memory: 8198 grad_norm: 5.1046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3838 loss: 1.3838 2022/08/03 05:33:59 - mmengine - INFO - Epoch(train) [101][820/1879] lr: 1.0000e-03 eta: 23:06:41 time: 0.2856 data_time: 0.0256 memory: 8198 grad_norm: 5.3085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/08/03 05:34:05 - mmengine - INFO - Epoch(train) [101][840/1879] lr: 1.0000e-03 eta: 23:06:35 time: 0.2869 data_time: 0.0286 memory: 8198 grad_norm: 5.2716 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4905 loss: 1.4905 2022/08/03 05:34:11 - mmengine - INFO - Epoch(train) [101][860/1879] lr: 1.0000e-03 eta: 23:06:30 time: 0.2852 data_time: 0.0224 memory: 8198 grad_norm: 5.3478 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5555 loss: 1.5555 2022/08/03 05:34:16 - mmengine - INFO - Epoch(train) [101][880/1879] lr: 1.0000e-03 eta: 23:06:24 time: 0.2848 data_time: 0.0243 memory: 8198 grad_norm: 5.3315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4535 loss: 1.4535 2022/08/03 05:34:22 - mmengine - INFO - Epoch(train) [101][900/1879] lr: 1.0000e-03 eta: 23:06:18 time: 0.2844 data_time: 0.0238 memory: 8198 grad_norm: 5.2848 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5452 loss: 1.5452 2022/08/03 05:34:28 - mmengine - INFO - Epoch(train) [101][920/1879] lr: 1.0000e-03 eta: 23:06:13 time: 0.2827 data_time: 0.0197 memory: 8198 grad_norm: 5.1506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3908 loss: 1.3908 2022/08/03 05:34:33 - mmengine - INFO - Epoch(train) [101][940/1879] lr: 1.0000e-03 eta: 23:06:07 time: 0.2877 data_time: 0.0224 memory: 8198 grad_norm: 5.3154 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/08/03 05:34:39 - mmengine - INFO - Epoch(train) [101][960/1879] lr: 1.0000e-03 eta: 23:06:01 time: 0.2854 data_time: 0.0220 memory: 8198 grad_norm: 5.1112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2938 loss: 1.2938 2022/08/03 05:34:45 - mmengine - INFO - Epoch(train) [101][980/1879] lr: 1.0000e-03 eta: 23:05:56 time: 0.2837 data_time: 0.0238 memory: 8198 grad_norm: 5.1867 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3468 loss: 1.3468 2022/08/03 05:34:50 - mmengine - INFO - Epoch(train) [101][1000/1879] lr: 1.0000e-03 eta: 23:05:50 time: 0.2829 data_time: 0.0230 memory: 8198 grad_norm: 5.2701 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4480 loss: 1.4480 2022/08/03 05:34:56 - mmengine - INFO - Epoch(train) [101][1020/1879] lr: 1.0000e-03 eta: 23:05:44 time: 0.2834 data_time: 0.0224 memory: 8198 grad_norm: 5.1759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5430 loss: 1.5430 2022/08/03 05:35:02 - mmengine - INFO - Epoch(train) [101][1040/1879] lr: 1.0000e-03 eta: 23:05:39 time: 0.2844 data_time: 0.0238 memory: 8198 grad_norm: 5.2687 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/08/03 05:35:08 - mmengine - INFO - Epoch(train) [101][1060/1879] lr: 1.0000e-03 eta: 23:05:33 time: 0.2848 data_time: 0.0267 memory: 8198 grad_norm: 5.2390 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3436 loss: 1.3436 2022/08/03 05:35:13 - mmengine - INFO - Epoch(train) [101][1080/1879] lr: 1.0000e-03 eta: 23:05:27 time: 0.2806 data_time: 0.0204 memory: 8198 grad_norm: 5.2467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4171 loss: 1.4171 2022/08/03 05:35:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:35:19 - mmengine - INFO - Epoch(train) [101][1100/1879] lr: 1.0000e-03 eta: 23:05:21 time: 0.2833 data_time: 0.0200 memory: 8198 grad_norm: 5.1571 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2497 loss: 1.2497 2022/08/03 05:35:25 - mmengine - INFO - Epoch(train) [101][1120/1879] lr: 1.0000e-03 eta: 23:05:16 time: 0.2863 data_time: 0.0237 memory: 8198 grad_norm: 5.2336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4061 loss: 1.4061 2022/08/03 05:35:30 - mmengine - INFO - Epoch(train) [101][1140/1879] lr: 1.0000e-03 eta: 23:05:10 time: 0.2816 data_time: 0.0227 memory: 8198 grad_norm: 5.2198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1453 loss: 1.1453 2022/08/03 05:35:36 - mmengine - INFO - Epoch(train) [101][1160/1879] lr: 1.0000e-03 eta: 23:05:04 time: 0.2877 data_time: 0.0259 memory: 8198 grad_norm: 5.2100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5706 loss: 1.5706 2022/08/03 05:35:42 - mmengine - INFO - Epoch(train) [101][1180/1879] lr: 1.0000e-03 eta: 23:04:59 time: 0.2894 data_time: 0.0229 memory: 8198 grad_norm: 5.0054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5470 loss: 1.5470 2022/08/03 05:35:47 - mmengine - INFO - Epoch(train) [101][1200/1879] lr: 1.0000e-03 eta: 23:04:53 time: 0.2800 data_time: 0.0164 memory: 8198 grad_norm: 5.1891 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4561 loss: 1.4561 2022/08/03 05:35:53 - mmengine - INFO - Epoch(train) [101][1220/1879] lr: 1.0000e-03 eta: 23:04:47 time: 0.2876 data_time: 0.0238 memory: 8198 grad_norm: 5.2414 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3040 loss: 1.3040 2022/08/03 05:35:59 - mmengine - INFO - Epoch(train) [101][1240/1879] lr: 1.0000e-03 eta: 23:04:42 time: 0.2866 data_time: 0.0201 memory: 8198 grad_norm: 5.1704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/08/03 05:36:05 - mmengine - INFO - Epoch(train) [101][1260/1879] lr: 1.0000e-03 eta: 23:04:36 time: 0.2801 data_time: 0.0211 memory: 8198 grad_norm: 5.2010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/08/03 05:36:10 - mmengine - INFO - Epoch(train) [101][1280/1879] lr: 1.0000e-03 eta: 23:04:30 time: 0.2815 data_time: 0.0276 memory: 8198 grad_norm: 5.3770 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4105 loss: 1.4105 2022/08/03 05:36:16 - mmengine - INFO - Epoch(train) [101][1300/1879] lr: 1.0000e-03 eta: 23:04:24 time: 0.2880 data_time: 0.0237 memory: 8198 grad_norm: 5.3127 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5521 loss: 1.5521 2022/08/03 05:36:22 - mmengine - INFO - Epoch(train) [101][1320/1879] lr: 1.0000e-03 eta: 23:04:19 time: 0.2889 data_time: 0.0206 memory: 8198 grad_norm: 5.2107 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5453 loss: 1.5453 2022/08/03 05:36:28 - mmengine - INFO - Epoch(train) [101][1340/1879] lr: 1.0000e-03 eta: 23:04:13 time: 0.2854 data_time: 0.0307 memory: 8198 grad_norm: 5.2416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4270 loss: 1.4270 2022/08/03 05:36:33 - mmengine - INFO - Epoch(train) [101][1360/1879] lr: 1.0000e-03 eta: 23:04:07 time: 0.2839 data_time: 0.0183 memory: 8198 grad_norm: 5.1322 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3935 loss: 1.3935 2022/08/03 05:36:39 - mmengine - INFO - Epoch(train) [101][1380/1879] lr: 1.0000e-03 eta: 23:04:02 time: 0.2845 data_time: 0.0227 memory: 8198 grad_norm: 5.2573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4260 loss: 1.4260 2022/08/03 05:36:45 - mmengine - INFO - Epoch(train) [101][1400/1879] lr: 1.0000e-03 eta: 23:03:56 time: 0.2828 data_time: 0.0236 memory: 8198 grad_norm: 5.1270 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2319 loss: 1.2319 2022/08/03 05:36:51 - mmengine - INFO - Epoch(train) [101][1420/1879] lr: 1.0000e-03 eta: 23:03:51 time: 0.2912 data_time: 0.0257 memory: 8198 grad_norm: 5.2332 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4964 loss: 1.4964 2022/08/03 05:36:56 - mmengine - INFO - Epoch(train) [101][1440/1879] lr: 1.0000e-03 eta: 23:03:45 time: 0.2835 data_time: 0.0248 memory: 8198 grad_norm: 5.2273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2773 loss: 1.2773 2022/08/03 05:37:02 - mmengine - INFO - Epoch(train) [101][1460/1879] lr: 1.0000e-03 eta: 23:03:40 time: 0.2989 data_time: 0.0231 memory: 8198 grad_norm: 5.4078 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2163 loss: 1.2163 2022/08/03 05:37:08 - mmengine - INFO - Epoch(train) [101][1480/1879] lr: 1.0000e-03 eta: 23:03:34 time: 0.2865 data_time: 0.0261 memory: 8198 grad_norm: 5.0330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5146 loss: 1.5146 2022/08/03 05:37:14 - mmengine - INFO - Epoch(train) [101][1500/1879] lr: 1.0000e-03 eta: 23:03:28 time: 0.2910 data_time: 0.0241 memory: 8198 grad_norm: 5.1882 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3357 loss: 1.3357 2022/08/03 05:37:19 - mmengine - INFO - Epoch(train) [101][1520/1879] lr: 1.0000e-03 eta: 23:03:23 time: 0.2823 data_time: 0.0193 memory: 8198 grad_norm: 5.2138 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3295 loss: 1.3295 2022/08/03 05:37:25 - mmengine - INFO - Epoch(train) [101][1540/1879] lr: 1.0000e-03 eta: 23:03:17 time: 0.2844 data_time: 0.0257 memory: 8198 grad_norm: 5.1855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3221 loss: 1.3221 2022/08/03 05:37:32 - mmengine - INFO - Epoch(train) [101][1560/1879] lr: 1.0000e-03 eta: 23:03:12 time: 0.3225 data_time: 0.0218 memory: 8198 grad_norm: 5.3275 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5120 loss: 1.5120 2022/08/03 05:37:37 - mmengine - INFO - Epoch(train) [101][1580/1879] lr: 1.0000e-03 eta: 23:03:07 time: 0.2798 data_time: 0.0234 memory: 8198 grad_norm: 5.2940 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3726 loss: 1.3726 2022/08/03 05:37:43 - mmengine - INFO - Epoch(train) [101][1600/1879] lr: 1.0000e-03 eta: 23:03:01 time: 0.2809 data_time: 0.0240 memory: 8198 grad_norm: 5.1966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2679 loss: 1.2679 2022/08/03 05:37:49 - mmengine - INFO - Epoch(train) [101][1620/1879] lr: 1.0000e-03 eta: 23:02:55 time: 0.2900 data_time: 0.0256 memory: 8198 grad_norm: 5.2731 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3843 loss: 1.3843 2022/08/03 05:37:54 - mmengine - INFO - Epoch(train) [101][1640/1879] lr: 1.0000e-03 eta: 23:02:50 time: 0.2886 data_time: 0.0188 memory: 8198 grad_norm: 5.2763 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4937 loss: 1.4937 2022/08/03 05:38:00 - mmengine - INFO - Epoch(train) [101][1660/1879] lr: 1.0000e-03 eta: 23:02:44 time: 0.2843 data_time: 0.0263 memory: 8198 grad_norm: 5.4267 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2538 loss: 1.2538 2022/08/03 05:38:06 - mmengine - INFO - Epoch(train) [101][1680/1879] lr: 1.0000e-03 eta: 23:02:38 time: 0.2830 data_time: 0.0204 memory: 8198 grad_norm: 5.0571 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3471 loss: 1.3471 2022/08/03 05:38:12 - mmengine - INFO - Epoch(train) [101][1700/1879] lr: 1.0000e-03 eta: 23:02:33 time: 0.2851 data_time: 0.0253 memory: 8198 grad_norm: 5.3315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2804 loss: 1.2804 2022/08/03 05:38:17 - mmengine - INFO - Epoch(train) [101][1720/1879] lr: 1.0000e-03 eta: 23:02:27 time: 0.2852 data_time: 0.0208 memory: 8198 grad_norm: 5.4078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6114 loss: 1.6114 2022/08/03 05:38:23 - mmengine - INFO - Epoch(train) [101][1740/1879] lr: 1.0000e-03 eta: 23:02:21 time: 0.2861 data_time: 0.0194 memory: 8198 grad_norm: 5.3695 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3447 loss: 1.3447 2022/08/03 05:38:29 - mmengine - INFO - Epoch(train) [101][1760/1879] lr: 1.0000e-03 eta: 23:02:16 time: 0.2850 data_time: 0.0271 memory: 8198 grad_norm: 5.2688 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2945 loss: 1.2945 2022/08/03 05:38:34 - mmengine - INFO - Epoch(train) [101][1780/1879] lr: 1.0000e-03 eta: 23:02:10 time: 0.2858 data_time: 0.0228 memory: 8198 grad_norm: 5.3262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3773 loss: 1.3773 2022/08/03 05:38:40 - mmengine - INFO - Epoch(train) [101][1800/1879] lr: 1.0000e-03 eta: 23:02:04 time: 0.2827 data_time: 0.0190 memory: 8198 grad_norm: 5.2231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1483 loss: 1.1483 2022/08/03 05:38:46 - mmengine - INFO - Epoch(train) [101][1820/1879] lr: 1.0000e-03 eta: 23:01:58 time: 0.2863 data_time: 0.0211 memory: 8198 grad_norm: 5.1848 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3851 loss: 1.3851 2022/08/03 05:38:52 - mmengine - INFO - Epoch(train) [101][1840/1879] lr: 1.0000e-03 eta: 23:01:53 time: 0.2842 data_time: 0.0232 memory: 8198 grad_norm: 5.3187 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4878 loss: 1.4878 2022/08/03 05:38:57 - mmengine - INFO - Epoch(train) [101][1860/1879] lr: 1.0000e-03 eta: 23:01:47 time: 0.2879 data_time: 0.0236 memory: 8198 grad_norm: 5.2523 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5134 loss: 1.5134 2022/08/03 05:39:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:39:05 - mmengine - INFO - Epoch(train) [101][1879/1879] lr: 1.0000e-03 eta: 23:01:47 time: 0.3735 data_time: 0.0151 memory: 8198 grad_norm: 5.3748 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/08/03 05:39:13 - mmengine - INFO - Epoch(train) [102][20/1879] lr: 1.0000e-03 eta: 23:01:31 time: 0.4033 data_time: 0.0922 memory: 8198 grad_norm: 5.1310 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2695 loss: 1.2695 2022/08/03 05:39:18 - mmengine - INFO - Epoch(train) [102][40/1879] lr: 1.0000e-03 eta: 23:01:26 time: 0.2869 data_time: 0.0225 memory: 8198 grad_norm: 5.2827 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1754 loss: 1.1754 2022/08/03 05:39:24 - mmengine - INFO - Epoch(train) [102][60/1879] lr: 1.0000e-03 eta: 23:01:20 time: 0.2933 data_time: 0.0237 memory: 8198 grad_norm: 5.1848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3321 loss: 1.3321 2022/08/03 05:39:30 - mmengine - INFO - Epoch(train) [102][80/1879] lr: 1.0000e-03 eta: 23:01:15 time: 0.2805 data_time: 0.0194 memory: 8198 grad_norm: 5.1938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4728 loss: 1.4728 2022/08/03 05:39:36 - mmengine - INFO - Epoch(train) [102][100/1879] lr: 1.0000e-03 eta: 23:01:09 time: 0.2846 data_time: 0.0259 memory: 8198 grad_norm: 5.0788 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3603 loss: 1.3603 2022/08/03 05:39:41 - mmengine - INFO - Epoch(train) [102][120/1879] lr: 1.0000e-03 eta: 23:01:03 time: 0.2840 data_time: 0.0230 memory: 8198 grad_norm: 5.3146 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4312 loss: 1.4312 2022/08/03 05:39:47 - mmengine - INFO - Epoch(train) [102][140/1879] lr: 1.0000e-03 eta: 23:00:57 time: 0.2853 data_time: 0.0263 memory: 8198 grad_norm: 5.3601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4308 loss: 1.4308 2022/08/03 05:39:53 - mmengine - INFO - Epoch(train) [102][160/1879] lr: 1.0000e-03 eta: 23:00:52 time: 0.2840 data_time: 0.0211 memory: 8198 grad_norm: 5.2407 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5268 loss: 1.5268 2022/08/03 05:39:58 - mmengine - INFO - Epoch(train) [102][180/1879] lr: 1.0000e-03 eta: 23:00:46 time: 0.2839 data_time: 0.0216 memory: 8198 grad_norm: 5.3039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4053 loss: 1.4053 2022/08/03 05:40:04 - mmengine - INFO - Epoch(train) [102][200/1879] lr: 1.0000e-03 eta: 23:00:40 time: 0.2843 data_time: 0.0232 memory: 8198 grad_norm: 5.1810 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3260 loss: 1.3260 2022/08/03 05:40:10 - mmengine - INFO - Epoch(train) [102][220/1879] lr: 1.0000e-03 eta: 23:00:35 time: 0.2803 data_time: 0.0224 memory: 8198 grad_norm: 5.1131 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1800 loss: 1.1800 2022/08/03 05:40:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:40:15 - mmengine - INFO - Epoch(train) [102][240/1879] lr: 1.0000e-03 eta: 23:00:29 time: 0.2824 data_time: 0.0211 memory: 8198 grad_norm: 5.3057 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4384 loss: 1.4384 2022/08/03 05:40:21 - mmengine - INFO - Epoch(train) [102][260/1879] lr: 1.0000e-03 eta: 23:00:23 time: 0.2891 data_time: 0.0222 memory: 8198 grad_norm: 5.3694 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5878 loss: 1.5878 2022/08/03 05:40:27 - mmengine - INFO - Epoch(train) [102][280/1879] lr: 1.0000e-03 eta: 23:00:18 time: 0.2844 data_time: 0.0193 memory: 8198 grad_norm: 5.3425 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/08/03 05:40:33 - mmengine - INFO - Epoch(train) [102][300/1879] lr: 1.0000e-03 eta: 23:00:12 time: 0.2828 data_time: 0.0232 memory: 8198 grad_norm: 5.3929 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2227 loss: 1.2227 2022/08/03 05:40:38 - mmengine - INFO - Epoch(train) [102][320/1879] lr: 1.0000e-03 eta: 23:00:06 time: 0.2831 data_time: 0.0218 memory: 8198 grad_norm: 5.2814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2208 loss: 1.2208 2022/08/03 05:40:44 - mmengine - INFO - Epoch(train) [102][340/1879] lr: 1.0000e-03 eta: 23:00:00 time: 0.2850 data_time: 0.0250 memory: 8198 grad_norm: 5.1780 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2688 loss: 1.2688 2022/08/03 05:40:50 - mmengine - INFO - Epoch(train) [102][360/1879] lr: 1.0000e-03 eta: 22:59:55 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 5.2413 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3388 loss: 1.3388 2022/08/03 05:40:55 - mmengine - INFO - Epoch(train) [102][380/1879] lr: 1.0000e-03 eta: 22:59:49 time: 0.2841 data_time: 0.0254 memory: 8198 grad_norm: 5.1409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/08/03 05:41:01 - mmengine - INFO - Epoch(train) [102][400/1879] lr: 1.0000e-03 eta: 22:59:43 time: 0.2917 data_time: 0.0221 memory: 8198 grad_norm: 5.0866 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2607 loss: 1.2607 2022/08/03 05:41:07 - mmengine - INFO - Epoch(train) [102][420/1879] lr: 1.0000e-03 eta: 22:59:38 time: 0.2836 data_time: 0.0220 memory: 8198 grad_norm: 5.3154 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4053 loss: 1.4053 2022/08/03 05:41:13 - mmengine - INFO - Epoch(train) [102][440/1879] lr: 1.0000e-03 eta: 22:59:32 time: 0.2904 data_time: 0.0277 memory: 8198 grad_norm: 5.4786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2856 loss: 1.2856 2022/08/03 05:41:18 - mmengine - INFO - Epoch(train) [102][460/1879] lr: 1.0000e-03 eta: 22:59:26 time: 0.2832 data_time: 0.0222 memory: 8198 grad_norm: 5.3262 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3477 loss: 1.3477 2022/08/03 05:41:24 - mmengine - INFO - Epoch(train) [102][480/1879] lr: 1.0000e-03 eta: 22:59:21 time: 0.2843 data_time: 0.0194 memory: 8198 grad_norm: 5.1308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5492 loss: 1.5492 2022/08/03 05:41:30 - mmengine - INFO - Epoch(train) [102][500/1879] lr: 1.0000e-03 eta: 22:59:15 time: 0.2825 data_time: 0.0252 memory: 8198 grad_norm: 5.2516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3407 loss: 1.3407 2022/08/03 05:41:36 - mmengine - INFO - Epoch(train) [102][520/1879] lr: 1.0000e-03 eta: 22:59:10 time: 0.2921 data_time: 0.0212 memory: 8198 grad_norm: 5.3318 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3225 loss: 1.3225 2022/08/03 05:41:42 - mmengine - INFO - Epoch(train) [102][540/1879] lr: 1.0000e-03 eta: 22:59:04 time: 0.2899 data_time: 0.0286 memory: 8198 grad_norm: 5.2157 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2163 loss: 1.2163 2022/08/03 05:41:47 - mmengine - INFO - Epoch(train) [102][560/1879] lr: 1.0000e-03 eta: 22:58:58 time: 0.2882 data_time: 0.0253 memory: 8198 grad_norm: 5.4019 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3710 loss: 1.3710 2022/08/03 05:41:53 - mmengine - INFO - Epoch(train) [102][580/1879] lr: 1.0000e-03 eta: 22:58:53 time: 0.2926 data_time: 0.0276 memory: 8198 grad_norm: 5.4343 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4658 loss: 1.4658 2022/08/03 05:41:59 - mmengine - INFO - Epoch(train) [102][600/1879] lr: 1.0000e-03 eta: 22:58:47 time: 0.2869 data_time: 0.0227 memory: 8198 grad_norm: 5.3112 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2618 loss: 1.2618 2022/08/03 05:42:05 - mmengine - INFO - Epoch(train) [102][620/1879] lr: 1.0000e-03 eta: 22:58:42 time: 0.2849 data_time: 0.0232 memory: 8198 grad_norm: 5.4145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3883 loss: 1.3883 2022/08/03 05:42:10 - mmengine - INFO - Epoch(train) [102][640/1879] lr: 1.0000e-03 eta: 22:58:36 time: 0.2806 data_time: 0.0199 memory: 8198 grad_norm: 5.2464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5322 loss: 1.5322 2022/08/03 05:42:16 - mmengine - INFO - Epoch(train) [102][660/1879] lr: 1.0000e-03 eta: 22:58:30 time: 0.2853 data_time: 0.0216 memory: 8198 grad_norm: 5.2660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3258 loss: 1.3258 2022/08/03 05:42:22 - mmengine - INFO - Epoch(train) [102][680/1879] lr: 1.0000e-03 eta: 22:58:25 time: 0.2914 data_time: 0.0235 memory: 8198 grad_norm: 5.1930 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5306 loss: 1.5306 2022/08/03 05:42:28 - mmengine - INFO - Epoch(train) [102][700/1879] lr: 1.0000e-03 eta: 22:58:19 time: 0.2852 data_time: 0.0261 memory: 8198 grad_norm: 5.2759 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2141 loss: 1.2141 2022/08/03 05:42:33 - mmengine - INFO - Epoch(train) [102][720/1879] lr: 1.0000e-03 eta: 22:58:14 time: 0.2921 data_time: 0.0273 memory: 8198 grad_norm: 5.3851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/08/03 05:42:39 - mmengine - INFO - Epoch(train) [102][740/1879] lr: 1.0000e-03 eta: 22:58:08 time: 0.2811 data_time: 0.0234 memory: 8198 grad_norm: 5.2780 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4028 loss: 1.4028 2022/08/03 05:42:45 - mmengine - INFO - Epoch(train) [102][760/1879] lr: 1.0000e-03 eta: 22:58:02 time: 0.2852 data_time: 0.0283 memory: 8198 grad_norm: 5.2711 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3264 loss: 1.3264 2022/08/03 05:42:51 - mmengine - INFO - Epoch(train) [102][780/1879] lr: 1.0000e-03 eta: 22:57:56 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 5.2211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2965 loss: 1.2965 2022/08/03 05:42:56 - mmengine - INFO - Epoch(train) [102][800/1879] lr: 1.0000e-03 eta: 22:57:51 time: 0.2848 data_time: 0.0199 memory: 8198 grad_norm: 5.2372 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1216 loss: 1.1216 2022/08/03 05:43:02 - mmengine - INFO - Epoch(train) [102][820/1879] lr: 1.0000e-03 eta: 22:57:45 time: 0.2839 data_time: 0.0220 memory: 8198 grad_norm: 5.3280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/08/03 05:43:08 - mmengine - INFO - Epoch(train) [102][840/1879] lr: 1.0000e-03 eta: 22:57:39 time: 0.2817 data_time: 0.0191 memory: 8198 grad_norm: 5.3267 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3790 loss: 1.3790 2022/08/03 05:43:14 - mmengine - INFO - Epoch(train) [102][860/1879] lr: 1.0000e-03 eta: 22:57:34 time: 0.2970 data_time: 0.0208 memory: 8198 grad_norm: 5.2657 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4121 loss: 1.4121 2022/08/03 05:43:19 - mmengine - INFO - Epoch(train) [102][880/1879] lr: 1.0000e-03 eta: 22:57:28 time: 0.2824 data_time: 0.0212 memory: 8198 grad_norm: 5.4568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/08/03 05:43:25 - mmengine - INFO - Epoch(train) [102][900/1879] lr: 1.0000e-03 eta: 22:57:22 time: 0.2831 data_time: 0.0238 memory: 8198 grad_norm: 5.2303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/08/03 05:43:31 - mmengine - INFO - Epoch(train) [102][920/1879] lr: 1.0000e-03 eta: 22:57:17 time: 0.2892 data_time: 0.0272 memory: 8198 grad_norm: 5.4576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4348 loss: 1.4348 2022/08/03 05:43:36 - mmengine - INFO - Epoch(train) [102][940/1879] lr: 1.0000e-03 eta: 22:57:11 time: 0.2869 data_time: 0.0235 memory: 8198 grad_norm: 5.3903 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3429 loss: 1.3429 2022/08/03 05:43:42 - mmengine - INFO - Epoch(train) [102][960/1879] lr: 1.0000e-03 eta: 22:57:06 time: 0.2900 data_time: 0.0265 memory: 8198 grad_norm: 5.1917 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1051 loss: 1.1051 2022/08/03 05:43:48 - mmengine - INFO - Epoch(train) [102][980/1879] lr: 1.0000e-03 eta: 22:57:00 time: 0.2866 data_time: 0.0261 memory: 8198 grad_norm: 5.2825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/08/03 05:43:54 - mmengine - INFO - Epoch(train) [102][1000/1879] lr: 1.0000e-03 eta: 22:56:54 time: 0.2845 data_time: 0.0192 memory: 8198 grad_norm: 5.4420 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2722 loss: 1.2722 2022/08/03 05:43:59 - mmengine - INFO - Epoch(train) [102][1020/1879] lr: 1.0000e-03 eta: 22:56:49 time: 0.2831 data_time: 0.0232 memory: 8198 grad_norm: 5.3307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4094 loss: 1.4094 2022/08/03 05:44:05 - mmengine - INFO - Epoch(train) [102][1040/1879] lr: 1.0000e-03 eta: 22:56:43 time: 0.2876 data_time: 0.0176 memory: 8198 grad_norm: 5.2205 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1844 loss: 1.1844 2022/08/03 05:44:11 - mmengine - INFO - Epoch(train) [102][1060/1879] lr: 1.0000e-03 eta: 22:56:37 time: 0.2829 data_time: 0.0205 memory: 8198 grad_norm: 5.1959 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2525 loss: 1.2525 2022/08/03 05:44:17 - mmengine - INFO - Epoch(train) [102][1080/1879] lr: 1.0000e-03 eta: 22:56:32 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 5.3129 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3411 loss: 1.3411 2022/08/03 05:44:23 - mmengine - INFO - Epoch(train) [102][1100/1879] lr: 1.0000e-03 eta: 22:56:26 time: 0.2967 data_time: 0.0228 memory: 8198 grad_norm: 5.2630 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2198 loss: 1.2198 2022/08/03 05:44:28 - mmengine - INFO - Epoch(train) [102][1120/1879] lr: 1.0000e-03 eta: 22:56:21 time: 0.2787 data_time: 0.0209 memory: 8198 grad_norm: 5.1996 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/08/03 05:44:34 - mmengine - INFO - Epoch(train) [102][1140/1879] lr: 1.0000e-03 eta: 22:56:15 time: 0.2878 data_time: 0.0216 memory: 8198 grad_norm: 5.4271 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3566 loss: 1.3566 2022/08/03 05:44:40 - mmengine - INFO - Epoch(train) [102][1160/1879] lr: 1.0000e-03 eta: 22:56:09 time: 0.2850 data_time: 0.0207 memory: 8198 grad_norm: 5.4682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4576 loss: 1.4576 2022/08/03 05:44:45 - mmengine - INFO - Epoch(train) [102][1180/1879] lr: 1.0000e-03 eta: 22:56:04 time: 0.2850 data_time: 0.0233 memory: 8198 grad_norm: 5.3431 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2322 loss: 1.2322 2022/08/03 05:44:51 - mmengine - INFO - Epoch(train) [102][1200/1879] lr: 1.0000e-03 eta: 22:55:58 time: 0.2825 data_time: 0.0251 memory: 8198 grad_norm: 5.2882 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2603 loss: 1.2603 2022/08/03 05:44:57 - mmengine - INFO - Epoch(train) [102][1220/1879] lr: 1.0000e-03 eta: 22:55:52 time: 0.2817 data_time: 0.0199 memory: 8198 grad_norm: 5.4624 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3830 loss: 1.3830 2022/08/03 05:44:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:45:02 - mmengine - INFO - Epoch(train) [102][1240/1879] lr: 1.0000e-03 eta: 22:55:46 time: 0.2882 data_time: 0.0199 memory: 8198 grad_norm: 5.5273 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.2021 loss: 1.2021 2022/08/03 05:45:08 - mmengine - INFO - Epoch(train) [102][1260/1879] lr: 1.0000e-03 eta: 22:55:41 time: 0.2844 data_time: 0.0235 memory: 8198 grad_norm: 5.2352 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2168 loss: 1.2168 2022/08/03 05:45:14 - mmengine - INFO - Epoch(train) [102][1280/1879] lr: 1.0000e-03 eta: 22:55:35 time: 0.2902 data_time: 0.0219 memory: 8198 grad_norm: 5.1935 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2692 loss: 1.2692 2022/08/03 05:45:20 - mmengine - INFO - Epoch(train) [102][1300/1879] lr: 1.0000e-03 eta: 22:55:30 time: 0.2841 data_time: 0.0222 memory: 8198 grad_norm: 5.5281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4837 loss: 1.4837 2022/08/03 05:45:25 - mmengine - INFO - Epoch(train) [102][1320/1879] lr: 1.0000e-03 eta: 22:55:24 time: 0.2856 data_time: 0.0246 memory: 8198 grad_norm: 5.2341 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/08/03 05:45:31 - mmengine - INFO - Epoch(train) [102][1340/1879] lr: 1.0000e-03 eta: 22:55:18 time: 0.2836 data_time: 0.0271 memory: 8198 grad_norm: 5.2983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4730 loss: 1.4730 2022/08/03 05:45:37 - mmengine - INFO - Epoch(train) [102][1360/1879] lr: 1.0000e-03 eta: 22:55:12 time: 0.2837 data_time: 0.0187 memory: 8198 grad_norm: 5.3510 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3131 loss: 1.3131 2022/08/03 05:45:43 - mmengine - INFO - Epoch(train) [102][1380/1879] lr: 1.0000e-03 eta: 22:55:07 time: 0.2880 data_time: 0.0258 memory: 8198 grad_norm: 5.2595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3643 loss: 1.3643 2022/08/03 05:45:48 - mmengine - INFO - Epoch(train) [102][1400/1879] lr: 1.0000e-03 eta: 22:55:01 time: 0.2816 data_time: 0.0185 memory: 8198 grad_norm: 5.2576 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2549 loss: 1.2549 2022/08/03 05:45:54 - mmengine - INFO - Epoch(train) [102][1420/1879] lr: 1.0000e-03 eta: 22:54:55 time: 0.2889 data_time: 0.0222 memory: 8198 grad_norm: 5.4231 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3533 loss: 1.3533 2022/08/03 05:46:00 - mmengine - INFO - Epoch(train) [102][1440/1879] lr: 1.0000e-03 eta: 22:54:50 time: 0.2803 data_time: 0.0228 memory: 8198 grad_norm: 5.4237 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2779 loss: 1.2779 2022/08/03 05:46:05 - mmengine - INFO - Epoch(train) [102][1460/1879] lr: 1.0000e-03 eta: 22:54:44 time: 0.2884 data_time: 0.0264 memory: 8198 grad_norm: 5.2765 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3135 loss: 1.3135 2022/08/03 05:46:11 - mmengine - INFO - Epoch(train) [102][1480/1879] lr: 1.0000e-03 eta: 22:54:38 time: 0.2836 data_time: 0.0208 memory: 8198 grad_norm: 5.2310 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4335 loss: 1.4335 2022/08/03 05:46:17 - mmengine - INFO - Epoch(train) [102][1500/1879] lr: 1.0000e-03 eta: 22:54:33 time: 0.2849 data_time: 0.0254 memory: 8198 grad_norm: 5.3113 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3596 loss: 1.3596 2022/08/03 05:46:23 - mmengine - INFO - Epoch(train) [102][1520/1879] lr: 1.0000e-03 eta: 22:54:27 time: 0.2966 data_time: 0.0189 memory: 8198 grad_norm: 5.1257 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2255 loss: 1.2255 2022/08/03 05:46:28 - mmengine - INFO - Epoch(train) [102][1540/1879] lr: 1.0000e-03 eta: 22:54:22 time: 0.2827 data_time: 0.0205 memory: 8198 grad_norm: 5.3309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4735 loss: 1.4735 2022/08/03 05:46:34 - mmengine - INFO - Epoch(train) [102][1560/1879] lr: 1.0000e-03 eta: 22:54:16 time: 0.2847 data_time: 0.0208 memory: 8198 grad_norm: 5.4125 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3194 loss: 1.3194 2022/08/03 05:46:40 - mmengine - INFO - Epoch(train) [102][1580/1879] lr: 1.0000e-03 eta: 22:54:10 time: 0.2803 data_time: 0.0191 memory: 8198 grad_norm: 5.2993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/08/03 05:46:45 - mmengine - INFO - Epoch(train) [102][1600/1879] lr: 1.0000e-03 eta: 22:54:04 time: 0.2818 data_time: 0.0214 memory: 8198 grad_norm: 5.3321 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/08/03 05:46:51 - mmengine - INFO - Epoch(train) [102][1620/1879] lr: 1.0000e-03 eta: 22:53:58 time: 0.2813 data_time: 0.0247 memory: 8198 grad_norm: 5.2908 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2545 loss: 1.2545 2022/08/03 05:46:57 - mmengine - INFO - Epoch(train) [102][1640/1879] lr: 1.0000e-03 eta: 22:53:53 time: 0.2859 data_time: 0.0207 memory: 8198 grad_norm: 5.3935 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3816 loss: 1.3816 2022/08/03 05:47:03 - mmengine - INFO - Epoch(train) [102][1660/1879] lr: 1.0000e-03 eta: 22:53:47 time: 0.2845 data_time: 0.0266 memory: 8198 grad_norm: 5.3266 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3645 loss: 1.3645 2022/08/03 05:47:08 - mmengine - INFO - Epoch(train) [102][1680/1879] lr: 1.0000e-03 eta: 22:53:41 time: 0.2826 data_time: 0.0216 memory: 8198 grad_norm: 5.3636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3660 loss: 1.3660 2022/08/03 05:47:14 - mmengine - INFO - Epoch(train) [102][1700/1879] lr: 1.0000e-03 eta: 22:53:36 time: 0.2868 data_time: 0.0246 memory: 8198 grad_norm: 5.4663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3970 loss: 1.3970 2022/08/03 05:47:20 - mmengine - INFO - Epoch(train) [102][1720/1879] lr: 1.0000e-03 eta: 22:53:30 time: 0.2805 data_time: 0.0195 memory: 8198 grad_norm: 5.5458 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4408 loss: 1.4408 2022/08/03 05:47:25 - mmengine - INFO - Epoch(train) [102][1740/1879] lr: 1.0000e-03 eta: 22:53:24 time: 0.2872 data_time: 0.0237 memory: 8198 grad_norm: 5.4617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4313 loss: 1.4313 2022/08/03 05:47:31 - mmengine - INFO - Epoch(train) [102][1760/1879] lr: 1.0000e-03 eta: 22:53:19 time: 0.2869 data_time: 0.0224 memory: 8198 grad_norm: 5.2190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3523 loss: 1.3523 2022/08/03 05:47:37 - mmengine - INFO - Epoch(train) [102][1780/1879] lr: 1.0000e-03 eta: 22:53:13 time: 0.2859 data_time: 0.0210 memory: 8198 grad_norm: 5.2719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2310 loss: 1.2310 2022/08/03 05:47:42 - mmengine - INFO - Epoch(train) [102][1800/1879] lr: 1.0000e-03 eta: 22:53:07 time: 0.2831 data_time: 0.0206 memory: 8198 grad_norm: 5.4649 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4296 loss: 1.4296 2022/08/03 05:47:48 - mmengine - INFO - Epoch(train) [102][1820/1879] lr: 1.0000e-03 eta: 22:53:02 time: 0.2867 data_time: 0.0213 memory: 8198 grad_norm: 5.3158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2918 loss: 1.2918 2022/08/03 05:47:54 - mmengine - INFO - Epoch(train) [102][1840/1879] lr: 1.0000e-03 eta: 22:52:56 time: 0.2826 data_time: 0.0208 memory: 8198 grad_norm: 5.4163 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3427 loss: 1.3427 2022/08/03 05:48:00 - mmengine - INFO - Epoch(train) [102][1860/1879] lr: 1.0000e-03 eta: 22:52:50 time: 0.2846 data_time: 0.0234 memory: 8198 grad_norm: 5.4538 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3317 loss: 1.3317 2022/08/03 05:48:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:48:05 - mmengine - INFO - Epoch(train) [102][1879/1879] lr: 1.0000e-03 eta: 22:52:50 time: 0.2583 data_time: 0.0187 memory: 8198 grad_norm: 5.6252 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4079 loss: 1.4079 2022/08/03 05:48:13 - mmengine - INFO - Epoch(train) [103][20/1879] lr: 1.0000e-03 eta: 22:52:35 time: 0.4180 data_time: 0.1057 memory: 8198 grad_norm: 5.4171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2600 loss: 1.2600 2022/08/03 05:48:19 - mmengine - INFO - Epoch(train) [103][40/1879] lr: 1.0000e-03 eta: 22:52:29 time: 0.2873 data_time: 0.0161 memory: 8198 grad_norm: 5.3643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3953 loss: 1.3953 2022/08/03 05:48:25 - mmengine - INFO - Epoch(train) [103][60/1879] lr: 1.0000e-03 eta: 22:52:24 time: 0.2900 data_time: 0.0264 memory: 8198 grad_norm: 5.4335 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3375 loss: 1.3375 2022/08/03 05:48:30 - mmengine - INFO - Epoch(train) [103][80/1879] lr: 1.0000e-03 eta: 22:52:18 time: 0.2830 data_time: 0.0200 memory: 8198 grad_norm: 5.4247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4077 loss: 1.4077 2022/08/03 05:48:36 - mmengine - INFO - Epoch(train) [103][100/1879] lr: 1.0000e-03 eta: 22:52:12 time: 0.2854 data_time: 0.0231 memory: 8198 grad_norm: 5.4381 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1838 loss: 1.1838 2022/08/03 05:48:42 - mmengine - INFO - Epoch(train) [103][120/1879] lr: 1.0000e-03 eta: 22:52:07 time: 0.2816 data_time: 0.0206 memory: 8198 grad_norm: 5.2997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2900 loss: 1.2900 2022/08/03 05:48:47 - mmengine - INFO - Epoch(train) [103][140/1879] lr: 1.0000e-03 eta: 22:52:01 time: 0.2862 data_time: 0.0242 memory: 8198 grad_norm: 5.3587 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1884 loss: 1.1884 2022/08/03 05:48:53 - mmengine - INFO - Epoch(train) [103][160/1879] lr: 1.0000e-03 eta: 22:51:55 time: 0.2875 data_time: 0.0211 memory: 8198 grad_norm: 5.2518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0741 loss: 1.0741 2022/08/03 05:48:59 - mmengine - INFO - Epoch(train) [103][180/1879] lr: 1.0000e-03 eta: 22:51:50 time: 0.2943 data_time: 0.0280 memory: 8198 grad_norm: 5.3998 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3592 loss: 1.3592 2022/08/03 05:49:05 - mmengine - INFO - Epoch(train) [103][200/1879] lr: 1.0000e-03 eta: 22:51:44 time: 0.2897 data_time: 0.0246 memory: 8198 grad_norm: 5.3169 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3164 loss: 1.3164 2022/08/03 05:49:10 - mmengine - INFO - Epoch(train) [103][220/1879] lr: 1.0000e-03 eta: 22:51:39 time: 0.2801 data_time: 0.0229 memory: 8198 grad_norm: 5.3330 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2576 loss: 1.2576 2022/08/03 05:49:16 - mmengine - INFO - Epoch(train) [103][240/1879] lr: 1.0000e-03 eta: 22:51:33 time: 0.2909 data_time: 0.0260 memory: 8198 grad_norm: 5.2438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2361 loss: 1.2361 2022/08/03 05:49:22 - mmengine - INFO - Epoch(train) [103][260/1879] lr: 1.0000e-03 eta: 22:51:27 time: 0.2842 data_time: 0.0233 memory: 8198 grad_norm: 5.1984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2402 loss: 1.2402 2022/08/03 05:49:28 - mmengine - INFO - Epoch(train) [103][280/1879] lr: 1.0000e-03 eta: 22:51:22 time: 0.2835 data_time: 0.0247 memory: 8198 grad_norm: 5.1632 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2288 loss: 1.2288 2022/08/03 05:49:34 - mmengine - INFO - Epoch(train) [103][300/1879] lr: 1.0000e-03 eta: 22:51:16 time: 0.3008 data_time: 0.0203 memory: 8198 grad_norm: 5.4962 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3231 loss: 1.3231 2022/08/03 05:49:39 - mmengine - INFO - Epoch(train) [103][320/1879] lr: 1.0000e-03 eta: 22:51:11 time: 0.2827 data_time: 0.0215 memory: 8198 grad_norm: 5.3603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/08/03 05:49:45 - mmengine - INFO - Epoch(train) [103][340/1879] lr: 1.0000e-03 eta: 22:51:05 time: 0.2915 data_time: 0.0224 memory: 8198 grad_norm: 5.2553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2503 loss: 1.2503 2022/08/03 05:49:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:49:51 - mmengine - INFO - Epoch(train) [103][360/1879] lr: 1.0000e-03 eta: 22:51:00 time: 0.2831 data_time: 0.0232 memory: 8198 grad_norm: 5.2653 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4075 loss: 1.4075 2022/08/03 05:49:57 - mmengine - INFO - Epoch(train) [103][380/1879] lr: 1.0000e-03 eta: 22:50:54 time: 0.2810 data_time: 0.0262 memory: 8198 grad_norm: 5.3578 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3110 loss: 1.3110 2022/08/03 05:50:03 - mmengine - INFO - Epoch(train) [103][400/1879] lr: 1.0000e-03 eta: 22:50:48 time: 0.2990 data_time: 0.0237 memory: 8198 grad_norm: 5.4053 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4433 loss: 1.4433 2022/08/03 05:50:08 - mmengine - INFO - Epoch(train) [103][420/1879] lr: 1.0000e-03 eta: 22:50:43 time: 0.2805 data_time: 0.0216 memory: 8198 grad_norm: 5.3205 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/08/03 05:50:14 - mmengine - INFO - Epoch(train) [103][440/1879] lr: 1.0000e-03 eta: 22:50:37 time: 0.2902 data_time: 0.0224 memory: 8198 grad_norm: 5.3984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2189 loss: 1.2189 2022/08/03 05:50:20 - mmengine - INFO - Epoch(train) [103][460/1879] lr: 1.0000e-03 eta: 22:50:31 time: 0.2816 data_time: 0.0217 memory: 8198 grad_norm: 5.5054 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2849 loss: 1.2849 2022/08/03 05:50:25 - mmengine - INFO - Epoch(train) [103][480/1879] lr: 1.0000e-03 eta: 22:50:26 time: 0.2898 data_time: 0.0272 memory: 8198 grad_norm: 5.5298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2772 loss: 1.2772 2022/08/03 05:50:31 - mmengine - INFO - Epoch(train) [103][500/1879] lr: 1.0000e-03 eta: 22:50:20 time: 0.2806 data_time: 0.0246 memory: 8198 grad_norm: 5.5135 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3950 loss: 1.3950 2022/08/03 05:50:37 - mmengine - INFO - Epoch(train) [103][520/1879] lr: 1.0000e-03 eta: 22:50:14 time: 0.2847 data_time: 0.0243 memory: 8198 grad_norm: 5.3805 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2227 loss: 1.2227 2022/08/03 05:50:43 - mmengine - INFO - Epoch(train) [103][540/1879] lr: 1.0000e-03 eta: 22:50:09 time: 0.2860 data_time: 0.0235 memory: 8198 grad_norm: 5.2171 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/08/03 05:50:48 - mmengine - INFO - Epoch(train) [103][560/1879] lr: 1.0000e-03 eta: 22:50:03 time: 0.2817 data_time: 0.0193 memory: 8198 grad_norm: 5.1201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4047 loss: 1.4047 2022/08/03 05:50:54 - mmengine - INFO - Epoch(train) [103][580/1879] lr: 1.0000e-03 eta: 22:49:57 time: 0.2854 data_time: 0.0229 memory: 8198 grad_norm: 5.3009 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1480 loss: 1.1480 2022/08/03 05:51:00 - mmengine - INFO - Epoch(train) [103][600/1879] lr: 1.0000e-03 eta: 22:49:51 time: 0.2825 data_time: 0.0245 memory: 8198 grad_norm: 5.3787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3579 loss: 1.3579 2022/08/03 05:51:05 - mmengine - INFO - Epoch(train) [103][620/1879] lr: 1.0000e-03 eta: 22:49:46 time: 0.2845 data_time: 0.0202 memory: 8198 grad_norm: 5.4732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/08/03 05:51:11 - mmengine - INFO - Epoch(train) [103][640/1879] lr: 1.0000e-03 eta: 22:49:40 time: 0.2839 data_time: 0.0222 memory: 8198 grad_norm: 5.4196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2501 loss: 1.2501 2022/08/03 05:51:17 - mmengine - INFO - Epoch(train) [103][660/1879] lr: 1.0000e-03 eta: 22:49:34 time: 0.2863 data_time: 0.0229 memory: 8198 grad_norm: 5.2422 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3369 loss: 1.3369 2022/08/03 05:51:23 - mmengine - INFO - Epoch(train) [103][680/1879] lr: 1.0000e-03 eta: 22:49:29 time: 0.2954 data_time: 0.0217 memory: 8198 grad_norm: 5.2536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/08/03 05:51:28 - mmengine - INFO - Epoch(train) [103][700/1879] lr: 1.0000e-03 eta: 22:49:23 time: 0.2900 data_time: 0.0198 memory: 8198 grad_norm: 5.4873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4045 loss: 1.4045 2022/08/03 05:51:34 - mmengine - INFO - Epoch(train) [103][720/1879] lr: 1.0000e-03 eta: 22:49:18 time: 0.2848 data_time: 0.0191 memory: 8198 grad_norm: 5.3167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2147 loss: 1.2147 2022/08/03 05:51:40 - mmengine - INFO - Epoch(train) [103][740/1879] lr: 1.0000e-03 eta: 22:49:12 time: 0.2842 data_time: 0.0270 memory: 8198 grad_norm: 5.4314 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3774 loss: 1.3774 2022/08/03 05:51:46 - mmengine - INFO - Epoch(train) [103][760/1879] lr: 1.0000e-03 eta: 22:49:07 time: 0.3000 data_time: 0.0225 memory: 8198 grad_norm: 5.3893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/08/03 05:51:52 - mmengine - INFO - Epoch(train) [103][780/1879] lr: 1.0000e-03 eta: 22:49:01 time: 0.2844 data_time: 0.0218 memory: 8198 grad_norm: 5.4011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3001 loss: 1.3001 2022/08/03 05:51:57 - mmengine - INFO - Epoch(train) [103][800/1879] lr: 1.0000e-03 eta: 22:48:55 time: 0.2848 data_time: 0.0227 memory: 8198 grad_norm: 5.3248 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2610 loss: 1.2610 2022/08/03 05:52:03 - mmengine - INFO - Epoch(train) [103][820/1879] lr: 1.0000e-03 eta: 22:48:50 time: 0.2991 data_time: 0.0240 memory: 8198 grad_norm: 5.4351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3411 loss: 1.3411 2022/08/03 05:52:09 - mmengine - INFO - Epoch(train) [103][840/1879] lr: 1.0000e-03 eta: 22:48:44 time: 0.2815 data_time: 0.0223 memory: 8198 grad_norm: 5.4479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/08/03 05:52:15 - mmengine - INFO - Epoch(train) [103][860/1879] lr: 1.0000e-03 eta: 22:48:39 time: 0.2919 data_time: 0.0279 memory: 8198 grad_norm: 5.4399 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4194 loss: 1.4194 2022/08/03 05:52:20 - mmengine - INFO - Epoch(train) [103][880/1879] lr: 1.0000e-03 eta: 22:48:33 time: 0.2818 data_time: 0.0200 memory: 8198 grad_norm: 5.4258 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3979 loss: 1.3979 2022/08/03 05:52:26 - mmengine - INFO - Epoch(train) [103][900/1879] lr: 1.0000e-03 eta: 22:48:28 time: 0.2889 data_time: 0.0214 memory: 8198 grad_norm: 5.3998 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3402 loss: 1.3402 2022/08/03 05:52:32 - mmengine - INFO - Epoch(train) [103][920/1879] lr: 1.0000e-03 eta: 22:48:22 time: 0.2823 data_time: 0.0249 memory: 8198 grad_norm: 5.4105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5154 loss: 1.5154 2022/08/03 05:52:38 - mmengine - INFO - Epoch(train) [103][940/1879] lr: 1.0000e-03 eta: 22:48:16 time: 0.2913 data_time: 0.0227 memory: 8198 grad_norm: 5.2798 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1626 loss: 1.1626 2022/08/03 05:52:43 - mmengine - INFO - Epoch(train) [103][960/1879] lr: 1.0000e-03 eta: 22:48:11 time: 0.2818 data_time: 0.0213 memory: 8198 grad_norm: 5.2222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0475 loss: 1.0475 2022/08/03 05:52:49 - mmengine - INFO - Epoch(train) [103][980/1879] lr: 1.0000e-03 eta: 22:48:05 time: 0.2826 data_time: 0.0242 memory: 8198 grad_norm: 5.4831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4533 loss: 1.4533 2022/08/03 05:52:55 - mmengine - INFO - Epoch(train) [103][1000/1879] lr: 1.0000e-03 eta: 22:47:59 time: 0.2951 data_time: 0.0248 memory: 8198 grad_norm: 5.4758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/08/03 05:53:01 - mmengine - INFO - Epoch(train) [103][1020/1879] lr: 1.0000e-03 eta: 22:47:54 time: 0.2775 data_time: 0.0164 memory: 8198 grad_norm: 5.2108 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/08/03 05:53:06 - mmengine - INFO - Epoch(train) [103][1040/1879] lr: 1.0000e-03 eta: 22:47:48 time: 0.2864 data_time: 0.0251 memory: 8198 grad_norm: 5.2558 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2469 loss: 1.2469 2022/08/03 05:53:12 - mmengine - INFO - Epoch(train) [103][1060/1879] lr: 1.0000e-03 eta: 22:47:42 time: 0.2890 data_time: 0.0283 memory: 8198 grad_norm: 5.3670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2584 loss: 1.2584 2022/08/03 05:53:18 - mmengine - INFO - Epoch(train) [103][1080/1879] lr: 1.0000e-03 eta: 22:47:37 time: 0.3049 data_time: 0.0226 memory: 8198 grad_norm: 5.6066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5203 loss: 1.5203 2022/08/03 05:53:24 - mmengine - INFO - Epoch(train) [103][1100/1879] lr: 1.0000e-03 eta: 22:47:31 time: 0.2821 data_time: 0.0226 memory: 8198 grad_norm: 5.1930 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2867 loss: 1.2867 2022/08/03 05:53:29 - mmengine - INFO - Epoch(train) [103][1120/1879] lr: 1.0000e-03 eta: 22:47:26 time: 0.2800 data_time: 0.0229 memory: 8198 grad_norm: 5.3592 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1207 loss: 1.1207 2022/08/03 05:53:35 - mmengine - INFO - Epoch(train) [103][1140/1879] lr: 1.0000e-03 eta: 22:47:20 time: 0.2855 data_time: 0.0251 memory: 8198 grad_norm: 5.3139 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/08/03 05:53:41 - mmengine - INFO - Epoch(train) [103][1160/1879] lr: 1.0000e-03 eta: 22:47:14 time: 0.2811 data_time: 0.0201 memory: 8198 grad_norm: 5.3079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3727 loss: 1.3727 2022/08/03 05:53:47 - mmengine - INFO - Epoch(train) [103][1180/1879] lr: 1.0000e-03 eta: 22:47:09 time: 0.2860 data_time: 0.0229 memory: 8198 grad_norm: 5.4238 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3731 loss: 1.3731 2022/08/03 05:53:53 - mmengine - INFO - Epoch(train) [103][1200/1879] lr: 1.0000e-03 eta: 22:47:03 time: 0.2963 data_time: 0.0191 memory: 8198 grad_norm: 5.5781 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4671 loss: 1.4671 2022/08/03 05:53:58 - mmengine - INFO - Epoch(train) [103][1220/1879] lr: 1.0000e-03 eta: 22:46:57 time: 0.2798 data_time: 0.0214 memory: 8198 grad_norm: 5.2003 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2821 loss: 1.2821 2022/08/03 05:54:04 - mmengine - INFO - Epoch(train) [103][1240/1879] lr: 1.0000e-03 eta: 22:46:52 time: 0.2826 data_time: 0.0211 memory: 8198 grad_norm: 5.2878 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3557 loss: 1.3557 2022/08/03 05:54:09 - mmengine - INFO - Epoch(train) [103][1260/1879] lr: 1.0000e-03 eta: 22:46:46 time: 0.2803 data_time: 0.0198 memory: 8198 grad_norm: 5.3736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4077 loss: 1.4077 2022/08/03 05:54:15 - mmengine - INFO - Epoch(train) [103][1280/1879] lr: 1.0000e-03 eta: 22:46:40 time: 0.2885 data_time: 0.0219 memory: 8198 grad_norm: 5.3779 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2959 loss: 1.2959 2022/08/03 05:54:21 - mmengine - INFO - Epoch(train) [103][1300/1879] lr: 1.0000e-03 eta: 22:46:35 time: 0.2902 data_time: 0.0214 memory: 8198 grad_norm: 5.4096 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2575 loss: 1.2575 2022/08/03 05:54:27 - mmengine - INFO - Epoch(train) [103][1320/1879] lr: 1.0000e-03 eta: 22:46:29 time: 0.2827 data_time: 0.0228 memory: 8198 grad_norm: 5.5435 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1648 loss: 1.1648 2022/08/03 05:54:33 - mmengine - INFO - Epoch(train) [103][1340/1879] lr: 1.0000e-03 eta: 22:46:24 time: 0.3009 data_time: 0.0234 memory: 8198 grad_norm: 5.4008 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3569 loss: 1.3569 2022/08/03 05:54:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:54:38 - mmengine - INFO - Epoch(train) [103][1360/1879] lr: 1.0000e-03 eta: 22:46:18 time: 0.2796 data_time: 0.0201 memory: 8198 grad_norm: 5.4303 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2008 loss: 1.2008 2022/08/03 05:54:44 - mmengine - INFO - Epoch(train) [103][1380/1879] lr: 1.0000e-03 eta: 22:46:12 time: 0.2840 data_time: 0.0225 memory: 8198 grad_norm: 5.2422 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2959 loss: 1.2959 2022/08/03 05:54:50 - mmengine - INFO - Epoch(train) [103][1400/1879] lr: 1.0000e-03 eta: 22:46:06 time: 0.2811 data_time: 0.0220 memory: 8198 grad_norm: 5.2854 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3681 loss: 1.3681 2022/08/03 05:54:56 - mmengine - INFO - Epoch(train) [103][1420/1879] lr: 1.0000e-03 eta: 22:46:01 time: 0.2903 data_time: 0.0299 memory: 8198 grad_norm: 5.3816 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/08/03 05:55:01 - mmengine - INFO - Epoch(train) [103][1440/1879] lr: 1.0000e-03 eta: 22:45:55 time: 0.2813 data_time: 0.0216 memory: 8198 grad_norm: 5.3759 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2455 loss: 1.2455 2022/08/03 05:55:07 - mmengine - INFO - Epoch(train) [103][1460/1879] lr: 1.0000e-03 eta: 22:45:49 time: 0.2825 data_time: 0.0223 memory: 8198 grad_norm: 5.4413 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2449 loss: 1.2449 2022/08/03 05:55:13 - mmengine - INFO - Epoch(train) [103][1480/1879] lr: 1.0000e-03 eta: 22:45:44 time: 0.2883 data_time: 0.0228 memory: 8198 grad_norm: 5.3876 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2776 loss: 1.2776 2022/08/03 05:55:18 - mmengine - INFO - Epoch(train) [103][1500/1879] lr: 1.0000e-03 eta: 22:45:38 time: 0.2866 data_time: 0.0241 memory: 8198 grad_norm: 5.4163 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4659 loss: 1.4659 2022/08/03 05:55:24 - mmengine - INFO - Epoch(train) [103][1520/1879] lr: 1.0000e-03 eta: 22:45:32 time: 0.2870 data_time: 0.0241 memory: 8198 grad_norm: 5.3504 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3465 loss: 1.3465 2022/08/03 05:55:30 - mmengine - INFO - Epoch(train) [103][1540/1879] lr: 1.0000e-03 eta: 22:45:27 time: 0.2862 data_time: 0.0227 memory: 8198 grad_norm: 5.4807 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2334 loss: 1.2334 2022/08/03 05:55:36 - mmengine - INFO - Epoch(train) [103][1560/1879] lr: 1.0000e-03 eta: 22:45:21 time: 0.2836 data_time: 0.0241 memory: 8198 grad_norm: 5.4540 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3178 loss: 1.3178 2022/08/03 05:55:41 - mmengine - INFO - Epoch(train) [103][1580/1879] lr: 1.0000e-03 eta: 22:45:15 time: 0.2864 data_time: 0.0209 memory: 8198 grad_norm: 5.4617 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3347 loss: 1.3347 2022/08/03 05:55:47 - mmengine - INFO - Epoch(train) [103][1600/1879] lr: 1.0000e-03 eta: 22:45:10 time: 0.2829 data_time: 0.0239 memory: 8198 grad_norm: 5.3816 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2580 loss: 1.2580 2022/08/03 05:55:53 - mmengine - INFO - Epoch(train) [103][1620/1879] lr: 1.0000e-03 eta: 22:45:04 time: 0.2879 data_time: 0.0291 memory: 8198 grad_norm: 5.5463 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2379 loss: 1.2379 2022/08/03 05:55:59 - mmengine - INFO - Epoch(train) [103][1640/1879] lr: 1.0000e-03 eta: 22:44:59 time: 0.2912 data_time: 0.0257 memory: 8198 grad_norm: 5.4972 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2732 loss: 1.2732 2022/08/03 05:56:04 - mmengine - INFO - Epoch(train) [103][1660/1879] lr: 1.0000e-03 eta: 22:44:53 time: 0.2837 data_time: 0.0256 memory: 8198 grad_norm: 5.5585 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3112 loss: 1.3112 2022/08/03 05:56:10 - mmengine - INFO - Epoch(train) [103][1680/1879] lr: 1.0000e-03 eta: 22:44:47 time: 0.2815 data_time: 0.0202 memory: 8198 grad_norm: 5.2144 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3100 loss: 1.3100 2022/08/03 05:56:16 - mmengine - INFO - Epoch(train) [103][1700/1879] lr: 1.0000e-03 eta: 22:44:41 time: 0.2880 data_time: 0.0248 memory: 8198 grad_norm: 5.3336 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3471 loss: 1.3471 2022/08/03 05:56:21 - mmengine - INFO - Epoch(train) [103][1720/1879] lr: 1.0000e-03 eta: 22:44:36 time: 0.2902 data_time: 0.0268 memory: 8198 grad_norm: 5.4264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2627 loss: 1.2627 2022/08/03 05:56:27 - mmengine - INFO - Epoch(train) [103][1740/1879] lr: 1.0000e-03 eta: 22:44:30 time: 0.2835 data_time: 0.0277 memory: 8198 grad_norm: 5.5725 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5987 loss: 1.5987 2022/08/03 05:56:33 - mmengine - INFO - Epoch(train) [103][1760/1879] lr: 1.0000e-03 eta: 22:44:25 time: 0.2849 data_time: 0.0243 memory: 8198 grad_norm: 5.3856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2822 loss: 1.2822 2022/08/03 05:56:39 - mmengine - INFO - Epoch(train) [103][1780/1879] lr: 1.0000e-03 eta: 22:44:19 time: 0.2802 data_time: 0.0217 memory: 8198 grad_norm: 5.6041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2130 loss: 1.2130 2022/08/03 05:56:44 - mmengine - INFO - Epoch(train) [103][1800/1879] lr: 1.0000e-03 eta: 22:44:13 time: 0.2852 data_time: 0.0257 memory: 8198 grad_norm: 5.3290 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3113 loss: 1.3113 2022/08/03 05:56:50 - mmengine - INFO - Epoch(train) [103][1820/1879] lr: 1.0000e-03 eta: 22:44:07 time: 0.2848 data_time: 0.0237 memory: 8198 grad_norm: 5.4288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2255 loss: 1.2255 2022/08/03 05:56:56 - mmengine - INFO - Epoch(train) [103][1840/1879] lr: 1.0000e-03 eta: 22:44:02 time: 0.2829 data_time: 0.0185 memory: 8198 grad_norm: 5.3233 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2822 loss: 1.2822 2022/08/03 05:57:01 - mmengine - INFO - Epoch(train) [103][1860/1879] lr: 1.0000e-03 eta: 22:43:56 time: 0.2891 data_time: 0.0234 memory: 8198 grad_norm: 5.3525 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2952 loss: 1.2952 2022/08/03 05:57:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:57:06 - mmengine - INFO - Epoch(train) [103][1879/1879] lr: 1.0000e-03 eta: 22:43:56 time: 0.2624 data_time: 0.0148 memory: 8198 grad_norm: 5.6055 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3651 loss: 1.3651 2022/08/03 05:57:14 - mmengine - INFO - Epoch(train) [104][20/1879] lr: 1.0000e-03 eta: 22:43:41 time: 0.4069 data_time: 0.1087 memory: 8198 grad_norm: 5.3645 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2855 loss: 1.2855 2022/08/03 05:57:20 - mmengine - INFO - Epoch(train) [104][40/1879] lr: 1.0000e-03 eta: 22:43:35 time: 0.2850 data_time: 0.0182 memory: 8198 grad_norm: 5.4077 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1855 loss: 1.1855 2022/08/03 05:57:26 - mmengine - INFO - Epoch(train) [104][60/1879] lr: 1.0000e-03 eta: 22:43:29 time: 0.2903 data_time: 0.0181 memory: 8198 grad_norm: 5.4578 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3884 loss: 1.3884 2022/08/03 05:57:32 - mmengine - INFO - Epoch(train) [104][80/1879] lr: 1.0000e-03 eta: 22:43:24 time: 0.2850 data_time: 0.0198 memory: 8198 grad_norm: 5.4263 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1805 loss: 1.1805 2022/08/03 05:57:38 - mmengine - INFO - Epoch(train) [104][100/1879] lr: 1.0000e-03 eta: 22:43:18 time: 0.2894 data_time: 0.0215 memory: 8198 grad_norm: 5.4324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2004 loss: 1.2004 2022/08/03 05:57:43 - mmengine - INFO - Epoch(train) [104][120/1879] lr: 1.0000e-03 eta: 22:43:12 time: 0.2864 data_time: 0.0257 memory: 8198 grad_norm: 5.3295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1494 loss: 1.1494 2022/08/03 05:57:49 - mmengine - INFO - Epoch(train) [104][140/1879] lr: 1.0000e-03 eta: 22:43:07 time: 0.2813 data_time: 0.0234 memory: 8198 grad_norm: 5.2088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0518 loss: 1.0518 2022/08/03 05:57:55 - mmengine - INFO - Epoch(train) [104][160/1879] lr: 1.0000e-03 eta: 22:43:01 time: 0.2847 data_time: 0.0205 memory: 8198 grad_norm: 5.3055 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4868 loss: 1.4868 2022/08/03 05:58:01 - mmengine - INFO - Epoch(train) [104][180/1879] lr: 1.0000e-03 eta: 22:42:56 time: 0.3107 data_time: 0.0380 memory: 8198 grad_norm: 5.3964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1883 loss: 1.1883 2022/08/03 05:58:06 - mmengine - INFO - Epoch(train) [104][200/1879] lr: 1.0000e-03 eta: 22:42:50 time: 0.2791 data_time: 0.0208 memory: 8198 grad_norm: 5.2976 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3152 loss: 1.3152 2022/08/03 05:58:12 - mmengine - INFO - Epoch(train) [104][220/1879] lr: 1.0000e-03 eta: 22:42:44 time: 0.2827 data_time: 0.0210 memory: 8198 grad_norm: 5.5066 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1541 loss: 1.1541 2022/08/03 05:58:18 - mmengine - INFO - Epoch(train) [104][240/1879] lr: 1.0000e-03 eta: 22:42:39 time: 0.2899 data_time: 0.0187 memory: 8198 grad_norm: 5.3561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2728 loss: 1.2728 2022/08/03 05:58:24 - mmengine - INFO - Epoch(train) [104][260/1879] lr: 1.0000e-03 eta: 22:42:33 time: 0.2871 data_time: 0.0236 memory: 8198 grad_norm: 5.4269 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1603 loss: 1.1603 2022/08/03 05:58:29 - mmengine - INFO - Epoch(train) [104][280/1879] lr: 1.0000e-03 eta: 22:42:28 time: 0.2827 data_time: 0.0218 memory: 8198 grad_norm: 5.4905 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3801 loss: 1.3801 2022/08/03 05:58:35 - mmengine - INFO - Epoch(train) [104][300/1879] lr: 1.0000e-03 eta: 22:42:22 time: 0.2881 data_time: 0.0218 memory: 8198 grad_norm: 5.4014 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1497 loss: 1.1497 2022/08/03 05:58:41 - mmengine - INFO - Epoch(train) [104][320/1879] lr: 1.0000e-03 eta: 22:42:16 time: 0.2818 data_time: 0.0184 memory: 8198 grad_norm: 5.2280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2574 loss: 1.2574 2022/08/03 05:58:47 - mmengine - INFO - Epoch(train) [104][340/1879] lr: 1.0000e-03 eta: 22:42:11 time: 0.2864 data_time: 0.0241 memory: 8198 grad_norm: 5.4295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3269 loss: 1.3269 2022/08/03 05:58:52 - mmengine - INFO - Epoch(train) [104][360/1879] lr: 1.0000e-03 eta: 22:42:05 time: 0.2838 data_time: 0.0210 memory: 8198 grad_norm: 5.3694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2774 loss: 1.2774 2022/08/03 05:58:58 - mmengine - INFO - Epoch(train) [104][380/1879] lr: 1.0000e-03 eta: 22:41:59 time: 0.2811 data_time: 0.0248 memory: 8198 grad_norm: 5.3660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1775 loss: 1.1775 2022/08/03 05:59:04 - mmengine - INFO - Epoch(train) [104][400/1879] lr: 1.0000e-03 eta: 22:41:53 time: 0.2829 data_time: 0.0194 memory: 8198 grad_norm: 5.5532 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/08/03 05:59:09 - mmengine - INFO - Epoch(train) [104][420/1879] lr: 1.0000e-03 eta: 22:41:48 time: 0.2905 data_time: 0.0230 memory: 8198 grad_norm: 5.4419 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2642 loss: 1.2642 2022/08/03 05:59:15 - mmengine - INFO - Epoch(train) [104][440/1879] lr: 1.0000e-03 eta: 22:41:42 time: 0.2871 data_time: 0.0203 memory: 8198 grad_norm: 5.4678 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3975 loss: 1.3975 2022/08/03 05:59:21 - mmengine - INFO - Epoch(train) [104][460/1879] lr: 1.0000e-03 eta: 22:41:36 time: 0.2800 data_time: 0.0166 memory: 8198 grad_norm: 5.3323 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3529 loss: 1.3529 2022/08/03 05:59:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 05:59:26 - mmengine - INFO - Epoch(train) [104][480/1879] lr: 1.0000e-03 eta: 22:41:31 time: 0.2835 data_time: 0.0246 memory: 8198 grad_norm: 5.5065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4031 loss: 1.4031 2022/08/03 05:59:32 - mmengine - INFO - Epoch(train) [104][500/1879] lr: 1.0000e-03 eta: 22:41:25 time: 0.2835 data_time: 0.0244 memory: 8198 grad_norm: 5.4816 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2317 loss: 1.2317 2022/08/03 05:59:38 - mmengine - INFO - Epoch(train) [104][520/1879] lr: 1.0000e-03 eta: 22:41:19 time: 0.2851 data_time: 0.0217 memory: 8198 grad_norm: 5.5122 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3545 loss: 1.3545 2022/08/03 05:59:44 - mmengine - INFO - Epoch(train) [104][540/1879] lr: 1.0000e-03 eta: 22:41:14 time: 0.2851 data_time: 0.0243 memory: 8198 grad_norm: 5.3467 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1621 loss: 1.1621 2022/08/03 05:59:49 - mmengine - INFO - Epoch(train) [104][560/1879] lr: 1.0000e-03 eta: 22:41:08 time: 0.2831 data_time: 0.0186 memory: 8198 grad_norm: 5.2683 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1615 loss: 1.1615 2022/08/03 05:59:55 - mmengine - INFO - Epoch(train) [104][580/1879] lr: 1.0000e-03 eta: 22:41:02 time: 0.2813 data_time: 0.0216 memory: 8198 grad_norm: 5.5859 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4191 loss: 1.4191 2022/08/03 06:00:01 - mmengine - INFO - Epoch(train) [104][600/1879] lr: 1.0000e-03 eta: 22:40:56 time: 0.2811 data_time: 0.0188 memory: 8198 grad_norm: 5.5377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3447 loss: 1.3447 2022/08/03 06:00:08 - mmengine - INFO - Epoch(train) [104][620/1879] lr: 1.0000e-03 eta: 22:40:53 time: 0.3780 data_time: 0.0230 memory: 8198 grad_norm: 5.3917 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/08/03 06:00:14 - mmengine - INFO - Epoch(train) [104][640/1879] lr: 1.0000e-03 eta: 22:40:48 time: 0.2851 data_time: 0.0226 memory: 8198 grad_norm: 5.4573 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1972 loss: 1.1972 2022/08/03 06:00:20 - mmengine - INFO - Epoch(train) [104][660/1879] lr: 1.0000e-03 eta: 22:40:42 time: 0.2828 data_time: 0.0211 memory: 8198 grad_norm: 5.4060 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2924 loss: 1.2924 2022/08/03 06:00:25 - mmengine - INFO - Epoch(train) [104][680/1879] lr: 1.0000e-03 eta: 22:40:36 time: 0.2957 data_time: 0.0217 memory: 8198 grad_norm: 5.5616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3820 loss: 1.3820 2022/08/03 06:00:31 - mmengine - INFO - Epoch(train) [104][700/1879] lr: 1.0000e-03 eta: 22:40:31 time: 0.2837 data_time: 0.0244 memory: 8198 grad_norm: 5.4814 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1864 loss: 1.1864 2022/08/03 06:00:37 - mmengine - INFO - Epoch(train) [104][720/1879] lr: 1.0000e-03 eta: 22:40:25 time: 0.2872 data_time: 0.0214 memory: 8198 grad_norm: 5.4370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1751 loss: 1.1751 2022/08/03 06:00:43 - mmengine - INFO - Epoch(train) [104][740/1879] lr: 1.0000e-03 eta: 22:40:19 time: 0.2799 data_time: 0.0225 memory: 8198 grad_norm: 5.3437 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3059 loss: 1.3059 2022/08/03 06:00:48 - mmengine - INFO - Epoch(train) [104][760/1879] lr: 1.0000e-03 eta: 22:40:14 time: 0.2872 data_time: 0.0274 memory: 8198 grad_norm: 5.4402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2962 loss: 1.2962 2022/08/03 06:00:54 - mmengine - INFO - Epoch(train) [104][780/1879] lr: 1.0000e-03 eta: 22:40:08 time: 0.2844 data_time: 0.0233 memory: 8198 grad_norm: 5.4095 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1571 loss: 1.1571 2022/08/03 06:01:00 - mmengine - INFO - Epoch(train) [104][800/1879] lr: 1.0000e-03 eta: 22:40:02 time: 0.2838 data_time: 0.0257 memory: 8198 grad_norm: 5.3530 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3399 loss: 1.3399 2022/08/03 06:01:05 - mmengine - INFO - Epoch(train) [104][820/1879] lr: 1.0000e-03 eta: 22:39:56 time: 0.2825 data_time: 0.0227 memory: 8198 grad_norm: 5.3534 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1413 loss: 1.1413 2022/08/03 06:01:11 - mmengine - INFO - Epoch(train) [104][840/1879] lr: 1.0000e-03 eta: 22:39:51 time: 0.2809 data_time: 0.0218 memory: 8198 grad_norm: 5.3896 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2563 loss: 1.2563 2022/08/03 06:01:17 - mmengine - INFO - Epoch(train) [104][860/1879] lr: 1.0000e-03 eta: 22:39:45 time: 0.2849 data_time: 0.0244 memory: 8198 grad_norm: 5.3749 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3223 loss: 1.3223 2022/08/03 06:01:22 - mmengine - INFO - Epoch(train) [104][880/1879] lr: 1.0000e-03 eta: 22:39:39 time: 0.2814 data_time: 0.0263 memory: 8198 grad_norm: 5.3382 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2209 loss: 1.2209 2022/08/03 06:01:28 - mmengine - INFO - Epoch(train) [104][900/1879] lr: 1.0000e-03 eta: 22:39:33 time: 0.2831 data_time: 0.0214 memory: 8198 grad_norm: 5.4018 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2451 loss: 1.2451 2022/08/03 06:01:34 - mmengine - INFO - Epoch(train) [104][920/1879] lr: 1.0000e-03 eta: 22:39:28 time: 0.2839 data_time: 0.0245 memory: 8198 grad_norm: 5.3790 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2459 loss: 1.2459 2022/08/03 06:01:39 - mmengine - INFO - Epoch(train) [104][940/1879] lr: 1.0000e-03 eta: 22:39:22 time: 0.2849 data_time: 0.0239 memory: 8198 grad_norm: 5.4229 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3705 loss: 1.3705 2022/08/03 06:01:45 - mmengine - INFO - Epoch(train) [104][960/1879] lr: 1.0000e-03 eta: 22:39:16 time: 0.2856 data_time: 0.0266 memory: 8198 grad_norm: 5.4453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/08/03 06:01:51 - mmengine - INFO - Epoch(train) [104][980/1879] lr: 1.0000e-03 eta: 22:39:11 time: 0.2821 data_time: 0.0248 memory: 8198 grad_norm: 5.4850 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1634 loss: 1.1634 2022/08/03 06:01:57 - mmengine - INFO - Epoch(train) [104][1000/1879] lr: 1.0000e-03 eta: 22:39:05 time: 0.3029 data_time: 0.0252 memory: 8198 grad_norm: 5.3533 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2907 loss: 1.2907 2022/08/03 06:02:02 - mmengine - INFO - Epoch(train) [104][1020/1879] lr: 1.0000e-03 eta: 22:39:00 time: 0.2793 data_time: 0.0201 memory: 8198 grad_norm: 5.4806 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2396 loss: 1.2396 2022/08/03 06:02:08 - mmengine - INFO - Epoch(train) [104][1040/1879] lr: 1.0000e-03 eta: 22:38:54 time: 0.2872 data_time: 0.0216 memory: 8198 grad_norm: 5.5656 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3593 loss: 1.3593 2022/08/03 06:02:14 - mmengine - INFO - Epoch(train) [104][1060/1879] lr: 1.0000e-03 eta: 22:38:48 time: 0.2900 data_time: 0.0197 memory: 8198 grad_norm: 5.3376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/08/03 06:02:20 - mmengine - INFO - Epoch(train) [104][1080/1879] lr: 1.0000e-03 eta: 22:38:43 time: 0.2825 data_time: 0.0221 memory: 8198 grad_norm: 5.4774 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/08/03 06:02:26 - mmengine - INFO - Epoch(train) [104][1100/1879] lr: 1.0000e-03 eta: 22:38:37 time: 0.2928 data_time: 0.0189 memory: 8198 grad_norm: 5.4996 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2320 loss: 1.2320 2022/08/03 06:02:31 - mmengine - INFO - Epoch(train) [104][1120/1879] lr: 1.0000e-03 eta: 22:38:32 time: 0.2823 data_time: 0.0207 memory: 8198 grad_norm: 5.5218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2802 loss: 1.2802 2022/08/03 06:02:37 - mmengine - INFO - Epoch(train) [104][1140/1879] lr: 1.0000e-03 eta: 22:38:26 time: 0.2846 data_time: 0.0214 memory: 8198 grad_norm: 5.4529 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2357 loss: 1.2357 2022/08/03 06:02:43 - mmengine - INFO - Epoch(train) [104][1160/1879] lr: 1.0000e-03 eta: 22:38:20 time: 0.2847 data_time: 0.0253 memory: 8198 grad_norm: 5.3980 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2819 loss: 1.2819 2022/08/03 06:02:48 - mmengine - INFO - Epoch(train) [104][1180/1879] lr: 1.0000e-03 eta: 22:38:14 time: 0.2827 data_time: 0.0221 memory: 8198 grad_norm: 5.3469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3098 loss: 1.3098 2022/08/03 06:02:54 - mmengine - INFO - Epoch(train) [104][1200/1879] lr: 1.0000e-03 eta: 22:38:09 time: 0.2860 data_time: 0.0249 memory: 8198 grad_norm: 5.7276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2119 loss: 1.2119 2022/08/03 06:03:00 - mmengine - INFO - Epoch(train) [104][1220/1879] lr: 1.0000e-03 eta: 22:38:03 time: 0.2848 data_time: 0.0181 memory: 8198 grad_norm: 5.4166 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3590 loss: 1.3590 2022/08/03 06:03:05 - mmengine - INFO - Epoch(train) [104][1240/1879] lr: 1.0000e-03 eta: 22:37:57 time: 0.2819 data_time: 0.0214 memory: 8198 grad_norm: 5.2872 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2224 loss: 1.2224 2022/08/03 06:03:11 - mmengine - INFO - Epoch(train) [104][1260/1879] lr: 1.0000e-03 eta: 22:37:52 time: 0.2826 data_time: 0.0234 memory: 8198 grad_norm: 5.4980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/08/03 06:03:17 - mmengine - INFO - Epoch(train) [104][1280/1879] lr: 1.0000e-03 eta: 22:37:46 time: 0.2876 data_time: 0.0239 memory: 8198 grad_norm: 5.5059 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3373 loss: 1.3373 2022/08/03 06:03:23 - mmengine - INFO - Epoch(train) [104][1300/1879] lr: 1.0000e-03 eta: 22:37:40 time: 0.2836 data_time: 0.0203 memory: 8198 grad_norm: 5.5090 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/08/03 06:03:28 - mmengine - INFO - Epoch(train) [104][1320/1879] lr: 1.0000e-03 eta: 22:37:34 time: 0.2832 data_time: 0.0177 memory: 8198 grad_norm: 5.5048 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2567 loss: 1.2567 2022/08/03 06:03:34 - mmengine - INFO - Epoch(train) [104][1340/1879] lr: 1.0000e-03 eta: 22:37:29 time: 0.2864 data_time: 0.0250 memory: 8198 grad_norm: 5.3813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3477 loss: 1.3477 2022/08/03 06:03:40 - mmengine - INFO - Epoch(train) [104][1360/1879] lr: 1.0000e-03 eta: 22:37:23 time: 0.2824 data_time: 0.0227 memory: 8198 grad_norm: 5.4347 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2452 loss: 1.2452 2022/08/03 06:03:45 - mmengine - INFO - Epoch(train) [104][1380/1879] lr: 1.0000e-03 eta: 22:37:17 time: 0.2857 data_time: 0.0215 memory: 8198 grad_norm: 5.6324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/08/03 06:03:52 - mmengine - INFO - Epoch(train) [104][1400/1879] lr: 1.0000e-03 eta: 22:37:12 time: 0.3042 data_time: 0.0200 memory: 8198 grad_norm: 5.3949 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2304 loss: 1.2304 2022/08/03 06:03:57 - mmengine - INFO - Epoch(train) [104][1420/1879] lr: 1.0000e-03 eta: 22:37:07 time: 0.2864 data_time: 0.0214 memory: 8198 grad_norm: 5.3565 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3010 loss: 1.3010 2022/08/03 06:04:03 - mmengine - INFO - Epoch(train) [104][1440/1879] lr: 1.0000e-03 eta: 22:37:01 time: 0.2815 data_time: 0.0224 memory: 8198 grad_norm: 5.4491 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4972 loss: 1.4972 2022/08/03 06:04:09 - mmengine - INFO - Epoch(train) [104][1460/1879] lr: 1.0000e-03 eta: 22:36:55 time: 0.2832 data_time: 0.0231 memory: 8198 grad_norm: 5.4581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3061 loss: 1.3061 2022/08/03 06:04:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:04:15 - mmengine - INFO - Epoch(train) [104][1480/1879] lr: 1.0000e-03 eta: 22:36:50 time: 0.2974 data_time: 0.0254 memory: 8198 grad_norm: 5.5374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3486 loss: 1.3486 2022/08/03 06:04:20 - mmengine - INFO - Epoch(train) [104][1500/1879] lr: 1.0000e-03 eta: 22:36:44 time: 0.2775 data_time: 0.0194 memory: 8198 grad_norm: 5.3690 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2240 loss: 1.2240 2022/08/03 06:04:26 - mmengine - INFO - Epoch(train) [104][1520/1879] lr: 1.0000e-03 eta: 22:36:38 time: 0.2914 data_time: 0.0228 memory: 8198 grad_norm: 5.4686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3146 loss: 1.3146 2022/08/03 06:04:32 - mmengine - INFO - Epoch(train) [104][1540/1879] lr: 1.0000e-03 eta: 22:36:33 time: 0.2812 data_time: 0.0210 memory: 8198 grad_norm: 5.5183 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4317 loss: 1.4317 2022/08/03 06:04:37 - mmengine - INFO - Epoch(train) [104][1560/1879] lr: 1.0000e-03 eta: 22:36:27 time: 0.2854 data_time: 0.0221 memory: 8198 grad_norm: 5.5468 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1677 loss: 1.1677 2022/08/03 06:04:43 - mmengine - INFO - Epoch(train) [104][1580/1879] lr: 1.0000e-03 eta: 22:36:21 time: 0.2802 data_time: 0.0212 memory: 8198 grad_norm: 5.4581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/08/03 06:04:49 - mmengine - INFO - Epoch(train) [104][1600/1879] lr: 1.0000e-03 eta: 22:36:15 time: 0.2831 data_time: 0.0191 memory: 8198 grad_norm: 5.5238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5059 loss: 1.5059 2022/08/03 06:04:54 - mmengine - INFO - Epoch(train) [104][1620/1879] lr: 1.0000e-03 eta: 22:36:10 time: 0.2877 data_time: 0.0246 memory: 8198 grad_norm: 5.5844 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2708 loss: 1.2708 2022/08/03 06:05:00 - mmengine - INFO - Epoch(train) [104][1640/1879] lr: 1.0000e-03 eta: 22:36:04 time: 0.2825 data_time: 0.0220 memory: 8198 grad_norm: 5.6349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/08/03 06:05:06 - mmengine - INFO - Epoch(train) [104][1660/1879] lr: 1.0000e-03 eta: 22:35:58 time: 0.2825 data_time: 0.0204 memory: 8198 grad_norm: 5.5653 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4156 loss: 1.4156 2022/08/03 06:05:11 - mmengine - INFO - Epoch(train) [104][1680/1879] lr: 1.0000e-03 eta: 22:35:52 time: 0.2823 data_time: 0.0228 memory: 8198 grad_norm: 5.3653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4136 loss: 1.4136 2022/08/03 06:05:17 - mmengine - INFO - Epoch(train) [104][1700/1879] lr: 1.0000e-03 eta: 22:35:47 time: 0.2860 data_time: 0.0209 memory: 8198 grad_norm: 5.4121 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1493 loss: 1.1493 2022/08/03 06:05:23 - mmengine - INFO - Epoch(train) [104][1720/1879] lr: 1.0000e-03 eta: 22:35:41 time: 0.2825 data_time: 0.0242 memory: 8198 grad_norm: 5.6055 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3117 loss: 1.3117 2022/08/03 06:05:28 - mmengine - INFO - Epoch(train) [104][1740/1879] lr: 1.0000e-03 eta: 22:35:35 time: 0.2826 data_time: 0.0188 memory: 8198 grad_norm: 5.3547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/08/03 06:05:34 - mmengine - INFO - Epoch(train) [104][1760/1879] lr: 1.0000e-03 eta: 22:35:30 time: 0.2832 data_time: 0.0237 memory: 8198 grad_norm: 5.5766 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2922 loss: 1.2922 2022/08/03 06:05:40 - mmengine - INFO - Epoch(train) [104][1780/1879] lr: 1.0000e-03 eta: 22:35:24 time: 0.2893 data_time: 0.0226 memory: 8198 grad_norm: 5.6315 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4376 loss: 1.4376 2022/08/03 06:05:46 - mmengine - INFO - Epoch(train) [104][1800/1879] lr: 1.0000e-03 eta: 22:35:18 time: 0.2836 data_time: 0.0228 memory: 8198 grad_norm: 5.4722 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2579 loss: 1.2579 2022/08/03 06:05:51 - mmengine - INFO - Epoch(train) [104][1820/1879] lr: 1.0000e-03 eta: 22:35:13 time: 0.2833 data_time: 0.0219 memory: 8198 grad_norm: 5.5599 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4042 loss: 1.4042 2022/08/03 06:05:57 - mmengine - INFO - Epoch(train) [104][1840/1879] lr: 1.0000e-03 eta: 22:35:07 time: 0.2920 data_time: 0.0284 memory: 8198 grad_norm: 5.3354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2744 loss: 1.2744 2022/08/03 06:06:03 - mmengine - INFO - Epoch(train) [104][1860/1879] lr: 1.0000e-03 eta: 22:35:01 time: 0.2804 data_time: 0.0217 memory: 8198 grad_norm: 5.2999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2671 loss: 1.2671 2022/08/03 06:06:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:06:08 - mmengine - INFO - Epoch(train) [104][1879/1879] lr: 1.0000e-03 eta: 22:35:01 time: 0.2594 data_time: 0.0151 memory: 8198 grad_norm: 5.6924 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1859 loss: 1.1859 2022/08/03 06:06:08 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/08/03 06:06:17 - mmengine - INFO - Epoch(train) [105][20/1879] lr: 1.0000e-03 eta: 22:34:45 time: 0.3714 data_time: 0.1139 memory: 8198 grad_norm: 5.2915 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1827 loss: 1.1827 2022/08/03 06:06:23 - mmengine - INFO - Epoch(train) [105][40/1879] lr: 1.0000e-03 eta: 22:34:39 time: 0.2843 data_time: 0.0173 memory: 8198 grad_norm: 5.4682 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2664 loss: 1.2664 2022/08/03 06:06:29 - mmengine - INFO - Epoch(train) [105][60/1879] lr: 1.0000e-03 eta: 22:34:33 time: 0.2855 data_time: 0.0237 memory: 8198 grad_norm: 5.2708 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0867 loss: 1.0867 2022/08/03 06:06:35 - mmengine - INFO - Epoch(train) [105][80/1879] lr: 1.0000e-03 eta: 22:34:28 time: 0.2901 data_time: 0.0267 memory: 8198 grad_norm: 5.4450 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2711 loss: 1.2711 2022/08/03 06:06:40 - mmengine - INFO - Epoch(train) [105][100/1879] lr: 1.0000e-03 eta: 22:34:22 time: 0.2846 data_time: 0.0241 memory: 8198 grad_norm: 5.5340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2682 loss: 1.2682 2022/08/03 06:06:46 - mmengine - INFO - Epoch(train) [105][120/1879] lr: 1.0000e-03 eta: 22:34:17 time: 0.2848 data_time: 0.0220 memory: 8198 grad_norm: 5.5786 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2171 loss: 1.2171 2022/08/03 06:06:52 - mmengine - INFO - Epoch(train) [105][140/1879] lr: 1.0000e-03 eta: 22:34:11 time: 0.2816 data_time: 0.0228 memory: 8198 grad_norm: 5.4688 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3339 loss: 1.3339 2022/08/03 06:06:57 - mmengine - INFO - Epoch(train) [105][160/1879] lr: 1.0000e-03 eta: 22:34:05 time: 0.2805 data_time: 0.0220 memory: 8198 grad_norm: 5.4794 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4678 loss: 1.4678 2022/08/03 06:07:03 - mmengine - INFO - Epoch(train) [105][180/1879] lr: 1.0000e-03 eta: 22:33:59 time: 0.2901 data_time: 0.0314 memory: 8198 grad_norm: 5.5930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/08/03 06:07:09 - mmengine - INFO - Epoch(train) [105][200/1879] lr: 1.0000e-03 eta: 22:33:54 time: 0.2922 data_time: 0.0254 memory: 8198 grad_norm: 5.5880 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2733 loss: 1.2733 2022/08/03 06:07:15 - mmengine - INFO - Epoch(train) [105][220/1879] lr: 1.0000e-03 eta: 22:33:48 time: 0.2807 data_time: 0.0214 memory: 8198 grad_norm: 5.4326 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1250 loss: 1.1250 2022/08/03 06:07:20 - mmengine - INFO - Epoch(train) [105][240/1879] lr: 1.0000e-03 eta: 22:33:42 time: 0.2852 data_time: 0.0299 memory: 8198 grad_norm: 5.4559 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3274 loss: 1.3274 2022/08/03 06:07:26 - mmengine - INFO - Epoch(train) [105][260/1879] lr: 1.0000e-03 eta: 22:33:37 time: 0.2952 data_time: 0.0265 memory: 8198 grad_norm: 5.4525 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/08/03 06:07:32 - mmengine - INFO - Epoch(train) [105][280/1879] lr: 1.0000e-03 eta: 22:33:31 time: 0.2799 data_time: 0.0274 memory: 8198 grad_norm: 5.4301 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2509 loss: 1.2509 2022/08/03 06:07:38 - mmengine - INFO - Epoch(train) [105][300/1879] lr: 1.0000e-03 eta: 22:33:26 time: 0.2842 data_time: 0.0200 memory: 8198 grad_norm: 5.5449 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1167 loss: 1.1167 2022/08/03 06:07:43 - mmengine - INFO - Epoch(train) [105][320/1879] lr: 1.0000e-03 eta: 22:33:20 time: 0.2882 data_time: 0.0274 memory: 8198 grad_norm: 5.2554 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0584 loss: 1.0584 2022/08/03 06:07:49 - mmengine - INFO - Epoch(train) [105][340/1879] lr: 1.0000e-03 eta: 22:33:14 time: 0.2857 data_time: 0.0253 memory: 8198 grad_norm: 5.3677 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1359 loss: 1.1359 2022/08/03 06:07:55 - mmengine - INFO - Epoch(train) [105][360/1879] lr: 1.0000e-03 eta: 22:33:09 time: 0.2818 data_time: 0.0213 memory: 8198 grad_norm: 5.5682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2165 loss: 1.2165 2022/08/03 06:08:00 - mmengine - INFO - Epoch(train) [105][380/1879] lr: 1.0000e-03 eta: 22:33:03 time: 0.2824 data_time: 0.0214 memory: 8198 grad_norm: 5.3098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1544 loss: 1.1544 2022/08/03 06:08:06 - mmengine - INFO - Epoch(train) [105][400/1879] lr: 1.0000e-03 eta: 22:32:57 time: 0.2931 data_time: 0.0252 memory: 8198 grad_norm: 5.4447 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1563 loss: 1.1563 2022/08/03 06:08:12 - mmengine - INFO - Epoch(train) [105][420/1879] lr: 1.0000e-03 eta: 22:32:52 time: 0.2831 data_time: 0.0200 memory: 8198 grad_norm: 5.5023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/08/03 06:08:18 - mmengine - INFO - Epoch(train) [105][440/1879] lr: 1.0000e-03 eta: 22:32:46 time: 0.2845 data_time: 0.0265 memory: 8198 grad_norm: 5.4820 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2080 loss: 1.2080 2022/08/03 06:08:23 - mmengine - INFO - Epoch(train) [105][460/1879] lr: 1.0000e-03 eta: 22:32:40 time: 0.2821 data_time: 0.0206 memory: 8198 grad_norm: 5.6202 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4852 loss: 1.4852 2022/08/03 06:08:29 - mmengine - INFO - Epoch(train) [105][480/1879] lr: 1.0000e-03 eta: 22:32:34 time: 0.2863 data_time: 0.0222 memory: 8198 grad_norm: 5.6576 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1775 loss: 1.1775 2022/08/03 06:08:35 - mmengine - INFO - Epoch(train) [105][500/1879] lr: 1.0000e-03 eta: 22:32:29 time: 0.2854 data_time: 0.0270 memory: 8198 grad_norm: 5.3714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2499 loss: 1.2499 2022/08/03 06:08:40 - mmengine - INFO - Epoch(train) [105][520/1879] lr: 1.0000e-03 eta: 22:32:23 time: 0.2873 data_time: 0.0234 memory: 8198 grad_norm: 5.6705 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3373 loss: 1.3373 2022/08/03 06:08:46 - mmengine - INFO - Epoch(train) [105][540/1879] lr: 1.0000e-03 eta: 22:32:17 time: 0.2830 data_time: 0.0213 memory: 8198 grad_norm: 5.4758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3413 loss: 1.3413 2022/08/03 06:08:52 - mmengine - INFO - Epoch(train) [105][560/1879] lr: 1.0000e-03 eta: 22:32:12 time: 0.2844 data_time: 0.0212 memory: 8198 grad_norm: 5.5268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2544 loss: 1.2544 2022/08/03 06:08:58 - mmengine - INFO - Epoch(train) [105][580/1879] lr: 1.0000e-03 eta: 22:32:06 time: 0.2856 data_time: 0.0229 memory: 8198 grad_norm: 5.4176 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2844 loss: 1.2844 2022/08/03 06:08:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:09:03 - mmengine - INFO - Epoch(train) [105][600/1879] lr: 1.0000e-03 eta: 22:32:00 time: 0.2838 data_time: 0.0233 memory: 8198 grad_norm: 5.5174 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2223 loss: 1.2223 2022/08/03 06:09:09 - mmengine - INFO - Epoch(train) [105][620/1879] lr: 1.0000e-03 eta: 22:31:55 time: 0.2938 data_time: 0.0227 memory: 8198 grad_norm: 5.4530 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2519 loss: 1.2519 2022/08/03 06:09:15 - mmengine - INFO - Epoch(train) [105][640/1879] lr: 1.0000e-03 eta: 22:31:49 time: 0.2844 data_time: 0.0261 memory: 8198 grad_norm: 5.4595 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2352 loss: 1.2352 2022/08/03 06:09:21 - mmengine - INFO - Epoch(train) [105][660/1879] lr: 1.0000e-03 eta: 22:31:44 time: 0.2856 data_time: 0.0232 memory: 8198 grad_norm: 5.4869 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2663 loss: 1.2663 2022/08/03 06:09:26 - mmengine - INFO - Epoch(train) [105][680/1879] lr: 1.0000e-03 eta: 22:31:38 time: 0.2848 data_time: 0.0255 memory: 8198 grad_norm: 5.4148 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0164 loss: 1.0164 2022/08/03 06:09:32 - mmengine - INFO - Epoch(train) [105][700/1879] lr: 1.0000e-03 eta: 22:31:32 time: 0.2817 data_time: 0.0266 memory: 8198 grad_norm: 5.5030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2890 loss: 1.2890 2022/08/03 06:09:38 - mmengine - INFO - Epoch(train) [105][720/1879] lr: 1.0000e-03 eta: 22:31:26 time: 0.2862 data_time: 0.0273 memory: 8198 grad_norm: 5.5853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2957 loss: 1.2957 2022/08/03 06:09:43 - mmengine - INFO - Epoch(train) [105][740/1879] lr: 1.0000e-03 eta: 22:31:21 time: 0.2840 data_time: 0.0230 memory: 8198 grad_norm: 5.6502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/08/03 06:09:49 - mmengine - INFO - Epoch(train) [105][760/1879] lr: 1.0000e-03 eta: 22:31:15 time: 0.2822 data_time: 0.0248 memory: 8198 grad_norm: 5.4209 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3696 loss: 1.3696 2022/08/03 06:09:55 - mmengine - INFO - Epoch(train) [105][780/1879] lr: 1.0000e-03 eta: 22:31:10 time: 0.2929 data_time: 0.0289 memory: 8198 grad_norm: 5.6720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3127 loss: 1.3127 2022/08/03 06:10:01 - mmengine - INFO - Epoch(train) [105][800/1879] lr: 1.0000e-03 eta: 22:31:04 time: 0.2811 data_time: 0.0260 memory: 8198 grad_norm: 5.5650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/08/03 06:10:06 - mmengine - INFO - Epoch(train) [105][820/1879] lr: 1.0000e-03 eta: 22:30:58 time: 0.2818 data_time: 0.0203 memory: 8198 grad_norm: 5.7409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4882 loss: 1.4882 2022/08/03 06:10:12 - mmengine - INFO - Epoch(train) [105][840/1879] lr: 1.0000e-03 eta: 22:30:52 time: 0.2882 data_time: 0.0347 memory: 8198 grad_norm: 5.4949 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0032 loss: 1.0032 2022/08/03 06:10:18 - mmengine - INFO - Epoch(train) [105][860/1879] lr: 1.0000e-03 eta: 22:30:47 time: 0.2832 data_time: 0.0226 memory: 8198 grad_norm: 5.5189 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2161 loss: 1.2161 2022/08/03 06:10:23 - mmengine - INFO - Epoch(train) [105][880/1879] lr: 1.0000e-03 eta: 22:30:41 time: 0.2849 data_time: 0.0248 memory: 8198 grad_norm: 5.3208 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1786 loss: 1.1786 2022/08/03 06:10:29 - mmengine - INFO - Epoch(train) [105][900/1879] lr: 1.0000e-03 eta: 22:30:35 time: 0.2820 data_time: 0.0205 memory: 8198 grad_norm: 5.5962 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3187 loss: 1.3187 2022/08/03 06:10:35 - mmengine - INFO - Epoch(train) [105][920/1879] lr: 1.0000e-03 eta: 22:30:30 time: 0.3035 data_time: 0.0250 memory: 8198 grad_norm: 5.4658 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3341 loss: 1.3341 2022/08/03 06:10:41 - mmengine - INFO - Epoch(train) [105][940/1879] lr: 1.0000e-03 eta: 22:30:24 time: 0.2809 data_time: 0.0236 memory: 8198 grad_norm: 5.4092 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3135 loss: 1.3135 2022/08/03 06:10:47 - mmengine - INFO - Epoch(train) [105][960/1879] lr: 1.0000e-03 eta: 22:30:19 time: 0.2856 data_time: 0.0209 memory: 8198 grad_norm: 5.6226 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2050 loss: 1.2050 2022/08/03 06:10:52 - mmengine - INFO - Epoch(train) [105][980/1879] lr: 1.0000e-03 eta: 22:30:13 time: 0.2849 data_time: 0.0270 memory: 8198 grad_norm: 5.4471 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1321 loss: 1.1321 2022/08/03 06:10:58 - mmengine - INFO - Epoch(train) [105][1000/1879] lr: 1.0000e-03 eta: 22:30:08 time: 0.3053 data_time: 0.0216 memory: 8198 grad_norm: 5.6245 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3255 loss: 1.3255 2022/08/03 06:11:04 - mmengine - INFO - Epoch(train) [105][1020/1879] lr: 1.0000e-03 eta: 22:30:02 time: 0.2874 data_time: 0.0250 memory: 8198 grad_norm: 5.6011 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2223 loss: 1.2223 2022/08/03 06:11:10 - mmengine - INFO - Epoch(train) [105][1040/1879] lr: 1.0000e-03 eta: 22:29:56 time: 0.2796 data_time: 0.0215 memory: 8198 grad_norm: 5.5196 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3735 loss: 1.3735 2022/08/03 06:11:15 - mmengine - INFO - Epoch(train) [105][1060/1879] lr: 1.0000e-03 eta: 22:29:51 time: 0.2873 data_time: 0.0212 memory: 8198 grad_norm: 5.4831 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2122 loss: 1.2122 2022/08/03 06:11:21 - mmengine - INFO - Epoch(train) [105][1080/1879] lr: 1.0000e-03 eta: 22:29:45 time: 0.2837 data_time: 0.0220 memory: 8198 grad_norm: 5.5631 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1975 loss: 1.1975 2022/08/03 06:11:27 - mmengine - INFO - Epoch(train) [105][1100/1879] lr: 1.0000e-03 eta: 22:29:39 time: 0.2831 data_time: 0.0226 memory: 8198 grad_norm: 5.4940 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3736 loss: 1.3736 2022/08/03 06:11:32 - mmengine - INFO - Epoch(train) [105][1120/1879] lr: 1.0000e-03 eta: 22:29:33 time: 0.2806 data_time: 0.0183 memory: 8198 grad_norm: 5.5825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2987 loss: 1.2987 2022/08/03 06:11:38 - mmengine - INFO - Epoch(train) [105][1140/1879] lr: 1.0000e-03 eta: 22:29:28 time: 0.2853 data_time: 0.0229 memory: 8198 grad_norm: 5.5712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/08/03 06:11:44 - mmengine - INFO - Epoch(train) [105][1160/1879] lr: 1.0000e-03 eta: 22:29:22 time: 0.2883 data_time: 0.0243 memory: 8198 grad_norm: 5.5589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0329 loss: 1.0329 2022/08/03 06:11:50 - mmengine - INFO - Epoch(train) [105][1180/1879] lr: 1.0000e-03 eta: 22:29:17 time: 0.2850 data_time: 0.0274 memory: 8198 grad_norm: 5.5130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3224 loss: 1.3224 2022/08/03 06:11:55 - mmengine - INFO - Epoch(train) [105][1200/1879] lr: 1.0000e-03 eta: 22:29:11 time: 0.2855 data_time: 0.0213 memory: 8198 grad_norm: 5.4565 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2888 loss: 1.2888 2022/08/03 06:12:02 - mmengine - INFO - Epoch(train) [105][1220/1879] lr: 1.0000e-03 eta: 22:29:07 time: 0.3334 data_time: 0.0226 memory: 8198 grad_norm: 5.3618 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3335 loss: 1.3335 2022/08/03 06:12:08 - mmengine - INFO - Epoch(train) [105][1240/1879] lr: 1.0000e-03 eta: 22:29:01 time: 0.2859 data_time: 0.0237 memory: 8198 grad_norm: 5.4579 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1237 loss: 1.1237 2022/08/03 06:12:14 - mmengine - INFO - Epoch(train) [105][1260/1879] lr: 1.0000e-03 eta: 22:28:55 time: 0.2830 data_time: 0.0245 memory: 8198 grad_norm: 5.3566 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1399 loss: 1.1399 2022/08/03 06:12:19 - mmengine - INFO - Epoch(train) [105][1280/1879] lr: 1.0000e-03 eta: 22:28:49 time: 0.2832 data_time: 0.0204 memory: 8198 grad_norm: 5.4501 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1280 loss: 1.1280 2022/08/03 06:12:25 - mmengine - INFO - Epoch(train) [105][1300/1879] lr: 1.0000e-03 eta: 22:28:44 time: 0.2924 data_time: 0.0346 memory: 8198 grad_norm: 5.5978 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3274 loss: 1.3274 2022/08/03 06:12:31 - mmengine - INFO - Epoch(train) [105][1320/1879] lr: 1.0000e-03 eta: 22:28:38 time: 0.2837 data_time: 0.0230 memory: 8198 grad_norm: 5.5122 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1206 loss: 1.1206 2022/08/03 06:12:37 - mmengine - INFO - Epoch(train) [105][1340/1879] lr: 1.0000e-03 eta: 22:28:33 time: 0.2834 data_time: 0.0226 memory: 8198 grad_norm: 5.4477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2590 loss: 1.2590 2022/08/03 06:12:42 - mmengine - INFO - Epoch(train) [105][1360/1879] lr: 1.0000e-03 eta: 22:28:27 time: 0.2910 data_time: 0.0264 memory: 8198 grad_norm: 5.4480 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/08/03 06:12:48 - mmengine - INFO - Epoch(train) [105][1380/1879] lr: 1.0000e-03 eta: 22:28:21 time: 0.2818 data_time: 0.0219 memory: 8198 grad_norm: 5.5067 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2531 loss: 1.2531 2022/08/03 06:12:54 - mmengine - INFO - Epoch(train) [105][1400/1879] lr: 1.0000e-03 eta: 22:28:16 time: 0.2837 data_time: 0.0255 memory: 8198 grad_norm: 5.5623 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2105 loss: 1.2105 2022/08/03 06:12:59 - mmengine - INFO - Epoch(train) [105][1420/1879] lr: 1.0000e-03 eta: 22:28:10 time: 0.2821 data_time: 0.0194 memory: 8198 grad_norm: 5.5471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3219 loss: 1.3219 2022/08/03 06:13:05 - mmengine - INFO - Epoch(train) [105][1440/1879] lr: 1.0000e-03 eta: 22:28:04 time: 0.2891 data_time: 0.0235 memory: 8198 grad_norm: 5.5551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2534 loss: 1.2534 2022/08/03 06:13:11 - mmengine - INFO - Epoch(train) [105][1460/1879] lr: 1.0000e-03 eta: 22:27:58 time: 0.2817 data_time: 0.0207 memory: 8198 grad_norm: 5.3467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0525 loss: 1.0525 2022/08/03 06:13:17 - mmengine - INFO - Epoch(train) [105][1480/1879] lr: 1.0000e-03 eta: 22:27:53 time: 0.2878 data_time: 0.0198 memory: 8198 grad_norm: 5.2834 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3776 loss: 1.3776 2022/08/03 06:13:22 - mmengine - INFO - Epoch(train) [105][1500/1879] lr: 1.0000e-03 eta: 22:27:47 time: 0.2830 data_time: 0.0217 memory: 8198 grad_norm: 5.6844 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2910 loss: 1.2910 2022/08/03 06:13:28 - mmengine - INFO - Epoch(train) [105][1520/1879] lr: 1.0000e-03 eta: 22:27:41 time: 0.2888 data_time: 0.0247 memory: 8198 grad_norm: 5.5494 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/08/03 06:13:34 - mmengine - INFO - Epoch(train) [105][1540/1879] lr: 1.0000e-03 eta: 22:27:36 time: 0.2829 data_time: 0.0214 memory: 8198 grad_norm: 5.4786 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3812 loss: 1.3812 2022/08/03 06:13:39 - mmengine - INFO - Epoch(train) [105][1560/1879] lr: 1.0000e-03 eta: 22:27:30 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 5.6066 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3782 loss: 1.3782 2022/08/03 06:13:45 - mmengine - INFO - Epoch(train) [105][1580/1879] lr: 1.0000e-03 eta: 22:27:25 time: 0.2910 data_time: 0.0244 memory: 8198 grad_norm: 5.4736 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0981 loss: 1.0981 2022/08/03 06:13:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:13:51 - mmengine - INFO - Epoch(train) [105][1600/1879] lr: 1.0000e-03 eta: 22:27:19 time: 0.2845 data_time: 0.0223 memory: 8198 grad_norm: 5.3980 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3069 loss: 1.3069 2022/08/03 06:13:57 - mmengine - INFO - Epoch(train) [105][1620/1879] lr: 1.0000e-03 eta: 22:27:13 time: 0.2888 data_time: 0.0253 memory: 8198 grad_norm: 5.5634 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3502 loss: 1.3502 2022/08/03 06:14:02 - mmengine - INFO - Epoch(train) [105][1640/1879] lr: 1.0000e-03 eta: 22:27:08 time: 0.2814 data_time: 0.0166 memory: 8198 grad_norm: 5.4935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3410 loss: 1.3410 2022/08/03 06:14:08 - mmengine - INFO - Epoch(train) [105][1660/1879] lr: 1.0000e-03 eta: 22:27:02 time: 0.2889 data_time: 0.0196 memory: 8198 grad_norm: 5.5995 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3165 loss: 1.3165 2022/08/03 06:14:14 - mmengine - INFO - Epoch(train) [105][1680/1879] lr: 1.0000e-03 eta: 22:26:56 time: 0.2841 data_time: 0.0218 memory: 8198 grad_norm: 5.5133 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2295 loss: 1.2295 2022/08/03 06:14:20 - mmengine - INFO - Epoch(train) [105][1700/1879] lr: 1.0000e-03 eta: 22:26:51 time: 0.2885 data_time: 0.0219 memory: 8198 grad_norm: 5.5415 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1633 loss: 1.1633 2022/08/03 06:14:26 - mmengine - INFO - Epoch(train) [105][1720/1879] lr: 1.0000e-03 eta: 22:26:45 time: 0.2890 data_time: 0.0190 memory: 8198 grad_norm: 5.4235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0002 loss: 1.0002 2022/08/03 06:14:31 - mmengine - INFO - Epoch(train) [105][1740/1879] lr: 1.0000e-03 eta: 22:26:39 time: 0.2854 data_time: 0.0225 memory: 8198 grad_norm: 5.6798 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2916 loss: 1.2916 2022/08/03 06:14:37 - mmengine - INFO - Epoch(train) [105][1760/1879] lr: 1.0000e-03 eta: 22:26:34 time: 0.2849 data_time: 0.0221 memory: 8198 grad_norm: 5.6319 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2581 loss: 1.2581 2022/08/03 06:14:43 - mmengine - INFO - Epoch(train) [105][1780/1879] lr: 1.0000e-03 eta: 22:26:28 time: 0.2855 data_time: 0.0239 memory: 8198 grad_norm: 5.5643 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2133 loss: 1.2133 2022/08/03 06:14:48 - mmengine - INFO - Epoch(train) [105][1800/1879] lr: 1.0000e-03 eta: 22:26:22 time: 0.2830 data_time: 0.0219 memory: 8198 grad_norm: 5.5856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1927 loss: 1.1927 2022/08/03 06:14:54 - mmengine - INFO - Epoch(train) [105][1820/1879] lr: 1.0000e-03 eta: 22:26:17 time: 0.2837 data_time: 0.0212 memory: 8198 grad_norm: 5.5652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/08/03 06:15:00 - mmengine - INFO - Epoch(train) [105][1840/1879] lr: 1.0000e-03 eta: 22:26:11 time: 0.2849 data_time: 0.0227 memory: 8198 grad_norm: 5.6037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/08/03 06:15:05 - mmengine - INFO - Epoch(train) [105][1860/1879] lr: 1.0000e-03 eta: 22:26:05 time: 0.2845 data_time: 0.0256 memory: 8198 grad_norm: 5.4831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4444 loss: 1.4444 2022/08/03 06:15:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:15:10 - mmengine - INFO - Epoch(train) [105][1879/1879] lr: 1.0000e-03 eta: 22:26:05 time: 0.2565 data_time: 0.0210 memory: 8198 grad_norm: 5.8031 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.3383 loss: 1.3383 2022/08/03 06:15:17 - mmengine - INFO - Epoch(val) [105][20/155] eta: 0:00:44 time: 0.3291 data_time: 0.2409 memory: 1514 2022/08/03 06:15:22 - mmengine - INFO - Epoch(val) [105][40/155] eta: 0:00:28 time: 0.2464 data_time: 0.1604 memory: 1514 2022/08/03 06:15:27 - mmengine - INFO - Epoch(val) [105][60/155] eta: 0:00:25 time: 0.2661 data_time: 0.1773 memory: 1514 2022/08/03 06:15:32 - mmengine - INFO - Epoch(val) [105][80/155] eta: 0:00:18 time: 0.2405 data_time: 0.1512 memory: 1514 2022/08/03 06:15:38 - mmengine - INFO - Epoch(val) [105][100/155] eta: 0:00:16 time: 0.2986 data_time: 0.2135 memory: 1514 2022/08/03 06:15:43 - mmengine - INFO - Epoch(val) [105][120/155] eta: 0:00:08 time: 0.2391 data_time: 0.1518 memory: 1514 2022/08/03 06:15:49 - mmengine - INFO - Epoch(val) [105][140/155] eta: 0:00:04 time: 0.3215 data_time: 0.2283 memory: 1514 2022/08/03 06:15:54 - mmengine - INFO - Epoch(val) [105][155/155] acc/top1: 0.6773 acc/top5: 0.8672 acc/mean1: 0.6772 2022/08/03 06:15:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_71.pth is removed 2022/08/03 06:15:56 - mmengine - INFO - The best checkpoint with 0.6773 acc/top1 at 106 epoch is saved to best_acc/top1_epoch_106.pth. 2022/08/03 06:16:03 - mmengine - INFO - Epoch(train) [106][20/1879] lr: 1.0000e-03 eta: 22:25:49 time: 0.3664 data_time: 0.1081 memory: 8198 grad_norm: 5.5591 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3782 loss: 1.3782 2022/08/03 06:16:09 - mmengine - INFO - Epoch(train) [106][40/1879] lr: 1.0000e-03 eta: 22:25:43 time: 0.2841 data_time: 0.0208 memory: 8198 grad_norm: 5.4163 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2547 loss: 1.2547 2022/08/03 06:16:15 - mmengine - INFO - Epoch(train) [106][60/1879] lr: 1.0000e-03 eta: 22:25:38 time: 0.3069 data_time: 0.0312 memory: 8198 grad_norm: 5.4678 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3430 loss: 1.3430 2022/08/03 06:16:21 - mmengine - INFO - Epoch(train) [106][80/1879] lr: 1.0000e-03 eta: 22:25:32 time: 0.2799 data_time: 0.0187 memory: 8198 grad_norm: 5.5425 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2156 loss: 1.2156 2022/08/03 06:16:26 - mmengine - INFO - Epoch(train) [106][100/1879] lr: 1.0000e-03 eta: 22:25:27 time: 0.2857 data_time: 0.0243 memory: 8198 grad_norm: 5.4935 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1427 loss: 1.1427 2022/08/03 06:16:32 - mmengine - INFO - Epoch(train) [106][120/1879] lr: 1.0000e-03 eta: 22:25:21 time: 0.2902 data_time: 0.0258 memory: 8198 grad_norm: 5.3329 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1861 loss: 1.1861 2022/08/03 06:16:38 - mmengine - INFO - Epoch(train) [106][140/1879] lr: 1.0000e-03 eta: 22:25:16 time: 0.2973 data_time: 0.0241 memory: 8198 grad_norm: 5.5466 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2901 loss: 1.2901 2022/08/03 06:16:44 - mmengine - INFO - Epoch(train) [106][160/1879] lr: 1.0000e-03 eta: 22:25:10 time: 0.2951 data_time: 0.0187 memory: 8198 grad_norm: 5.4337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2192 loss: 1.2192 2022/08/03 06:16:50 - mmengine - INFO - Epoch(train) [106][180/1879] lr: 1.0000e-03 eta: 22:25:04 time: 0.2803 data_time: 0.0205 memory: 8198 grad_norm: 5.4149 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1813 loss: 1.1813 2022/08/03 06:16:56 - mmengine - INFO - Epoch(train) [106][200/1879] lr: 1.0000e-03 eta: 22:24:59 time: 0.2892 data_time: 0.0215 memory: 8198 grad_norm: 5.6228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2795 loss: 1.2795 2022/08/03 06:17:01 - mmengine - INFO - Epoch(train) [106][220/1879] lr: 1.0000e-03 eta: 22:24:53 time: 0.2831 data_time: 0.0238 memory: 8198 grad_norm: 5.3682 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1513 loss: 1.1513 2022/08/03 06:17:07 - mmengine - INFO - Epoch(train) [106][240/1879] lr: 1.0000e-03 eta: 22:24:48 time: 0.2916 data_time: 0.0225 memory: 8198 grad_norm: 5.5921 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2027 loss: 1.2027 2022/08/03 06:17:13 - mmengine - INFO - Epoch(train) [106][260/1879] lr: 1.0000e-03 eta: 22:24:42 time: 0.2850 data_time: 0.0253 memory: 8198 grad_norm: 5.4267 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1548 loss: 1.1548 2022/08/03 06:17:19 - mmengine - INFO - Epoch(train) [106][280/1879] lr: 1.0000e-03 eta: 22:24:36 time: 0.2839 data_time: 0.0237 memory: 8198 grad_norm: 5.4466 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2136 loss: 1.2136 2022/08/03 06:17:24 - mmengine - INFO - Epoch(train) [106][300/1879] lr: 1.0000e-03 eta: 22:24:31 time: 0.2838 data_time: 0.0239 memory: 8198 grad_norm: 5.5294 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/08/03 06:17:30 - mmengine - INFO - Epoch(train) [106][320/1879] lr: 1.0000e-03 eta: 22:24:25 time: 0.2828 data_time: 0.0194 memory: 8198 grad_norm: 5.4642 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2284 loss: 1.2284 2022/08/03 06:17:36 - mmengine - INFO - Epoch(train) [106][340/1879] lr: 1.0000e-03 eta: 22:24:19 time: 0.2865 data_time: 0.0267 memory: 8198 grad_norm: 5.4845 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1781 loss: 1.1781 2022/08/03 06:17:41 - mmengine - INFO - Epoch(train) [106][360/1879] lr: 1.0000e-03 eta: 22:24:13 time: 0.2816 data_time: 0.0254 memory: 8198 grad_norm: 5.7537 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1601 loss: 1.1601 2022/08/03 06:17:47 - mmengine - INFO - Epoch(train) [106][380/1879] lr: 1.0000e-03 eta: 22:24:08 time: 0.2819 data_time: 0.0196 memory: 8198 grad_norm: 5.4055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/08/03 06:17:53 - mmengine - INFO - Epoch(train) [106][400/1879] lr: 1.0000e-03 eta: 22:24:02 time: 0.2827 data_time: 0.0263 memory: 8198 grad_norm: 5.4978 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3110 loss: 1.3110 2022/08/03 06:17:58 - mmengine - INFO - Epoch(train) [106][420/1879] lr: 1.0000e-03 eta: 22:23:56 time: 0.2928 data_time: 0.0247 memory: 8198 grad_norm: 5.4943 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2726 loss: 1.2726 2022/08/03 06:18:04 - mmengine - INFO - Epoch(train) [106][440/1879] lr: 1.0000e-03 eta: 22:23:51 time: 0.2916 data_time: 0.0215 memory: 8198 grad_norm: 5.4619 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2684 loss: 1.2684 2022/08/03 06:18:10 - mmengine - INFO - Epoch(train) [106][460/1879] lr: 1.0000e-03 eta: 22:23:45 time: 0.2878 data_time: 0.0329 memory: 8198 grad_norm: 5.3866 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1547 loss: 1.1547 2022/08/03 06:18:16 - mmengine - INFO - Epoch(train) [106][480/1879] lr: 1.0000e-03 eta: 22:23:40 time: 0.2837 data_time: 0.0204 memory: 8198 grad_norm: 5.5564 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2296 loss: 1.2296 2022/08/03 06:18:21 - mmengine - INFO - Epoch(train) [106][500/1879] lr: 1.0000e-03 eta: 22:23:34 time: 0.2819 data_time: 0.0238 memory: 8198 grad_norm: 5.5935 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/08/03 06:18:27 - mmengine - INFO - Epoch(train) [106][520/1879] lr: 1.0000e-03 eta: 22:23:28 time: 0.2884 data_time: 0.0211 memory: 8198 grad_norm: 5.3837 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1542 loss: 1.1542 2022/08/03 06:18:33 - mmengine - INFO - Epoch(train) [106][540/1879] lr: 1.0000e-03 eta: 22:23:22 time: 0.2812 data_time: 0.0200 memory: 8198 grad_norm: 5.6147 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2768 loss: 1.2768 2022/08/03 06:18:39 - mmengine - INFO - Epoch(train) [106][560/1879] lr: 1.0000e-03 eta: 22:23:17 time: 0.2873 data_time: 0.0213 memory: 8198 grad_norm: 5.6168 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2963 loss: 1.2963 2022/08/03 06:18:44 - mmengine - INFO - Epoch(train) [106][580/1879] lr: 1.0000e-03 eta: 22:23:11 time: 0.2850 data_time: 0.0238 memory: 8198 grad_norm: 5.4686 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3431 loss: 1.3431 2022/08/03 06:18:50 - mmengine - INFO - Epoch(train) [106][600/1879] lr: 1.0000e-03 eta: 22:23:06 time: 0.2872 data_time: 0.0270 memory: 8198 grad_norm: 5.4394 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2078 loss: 1.2078 2022/08/03 06:18:56 - mmengine - INFO - Epoch(train) [106][620/1879] lr: 1.0000e-03 eta: 22:23:00 time: 0.2866 data_time: 0.0246 memory: 8198 grad_norm: 5.6497 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3522 loss: 1.3522 2022/08/03 06:19:02 - mmengine - INFO - Epoch(train) [106][640/1879] lr: 1.0000e-03 eta: 22:22:54 time: 0.2821 data_time: 0.0259 memory: 8198 grad_norm: 5.5603 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2453 loss: 1.2453 2022/08/03 06:19:07 - mmengine - INFO - Epoch(train) [106][660/1879] lr: 1.0000e-03 eta: 22:22:48 time: 0.2822 data_time: 0.0233 memory: 8198 grad_norm: 5.5467 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2910 loss: 1.2910 2022/08/03 06:19:13 - mmengine - INFO - Epoch(train) [106][680/1879] lr: 1.0000e-03 eta: 22:22:43 time: 0.2829 data_time: 0.0196 memory: 8198 grad_norm: 5.5958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/08/03 06:19:19 - mmengine - INFO - Epoch(train) [106][700/1879] lr: 1.0000e-03 eta: 22:22:37 time: 0.2876 data_time: 0.0234 memory: 8198 grad_norm: 5.3417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1720 loss: 1.1720 2022/08/03 06:19:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:19:24 - mmengine - INFO - Epoch(train) [106][720/1879] lr: 1.0000e-03 eta: 22:22:31 time: 0.2805 data_time: 0.0233 memory: 8198 grad_norm: 5.6296 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3135 loss: 1.3135 2022/08/03 06:19:30 - mmengine - INFO - Epoch(train) [106][740/1879] lr: 1.0000e-03 eta: 22:22:26 time: 0.2859 data_time: 0.0235 memory: 8198 grad_norm: 5.5289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3266 loss: 1.3266 2022/08/03 06:19:36 - mmengine - INFO - Epoch(train) [106][760/1879] lr: 1.0000e-03 eta: 22:22:20 time: 0.2876 data_time: 0.0209 memory: 8198 grad_norm: 5.4071 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1965 loss: 1.1965 2022/08/03 06:19:41 - mmengine - INFO - Epoch(train) [106][780/1879] lr: 1.0000e-03 eta: 22:22:14 time: 0.2850 data_time: 0.0243 memory: 8198 grad_norm: 5.5531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4241 loss: 1.4241 2022/08/03 06:19:47 - mmengine - INFO - Epoch(train) [106][800/1879] lr: 1.0000e-03 eta: 22:22:09 time: 0.2945 data_time: 0.0222 memory: 8198 grad_norm: 5.5606 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2696 loss: 1.2696 2022/08/03 06:19:53 - mmengine - INFO - Epoch(train) [106][820/1879] lr: 1.0000e-03 eta: 22:22:03 time: 0.2829 data_time: 0.0292 memory: 8198 grad_norm: 5.4658 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3343 loss: 1.3343 2022/08/03 06:19:59 - mmengine - INFO - Epoch(train) [106][840/1879] lr: 1.0000e-03 eta: 22:21:58 time: 0.2998 data_time: 0.0187 memory: 8198 grad_norm: 5.5884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/08/03 06:20:05 - mmengine - INFO - Epoch(train) [106][860/1879] lr: 1.0000e-03 eta: 22:21:52 time: 0.2795 data_time: 0.0199 memory: 8198 grad_norm: 5.4687 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3708 loss: 1.3708 2022/08/03 06:20:10 - mmengine - INFO - Epoch(train) [106][880/1879] lr: 1.0000e-03 eta: 22:21:46 time: 0.2861 data_time: 0.0255 memory: 8198 grad_norm: 5.3050 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1532 loss: 1.1532 2022/08/03 06:20:16 - mmengine - INFO - Epoch(train) [106][900/1879] lr: 1.0000e-03 eta: 22:21:41 time: 0.2835 data_time: 0.0248 memory: 8198 grad_norm: 5.6414 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4485 loss: 1.4485 2022/08/03 06:20:22 - mmengine - INFO - Epoch(train) [106][920/1879] lr: 1.0000e-03 eta: 22:21:35 time: 0.2810 data_time: 0.0234 memory: 8198 grad_norm: 5.6124 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2533 loss: 1.2533 2022/08/03 06:20:27 - mmengine - INFO - Epoch(train) [106][940/1879] lr: 1.0000e-03 eta: 22:21:29 time: 0.2822 data_time: 0.0262 memory: 8198 grad_norm: 5.5284 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2033 loss: 1.2033 2022/08/03 06:20:33 - mmengine - INFO - Epoch(train) [106][960/1879] lr: 1.0000e-03 eta: 22:21:23 time: 0.2819 data_time: 0.0198 memory: 8198 grad_norm: 5.5646 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3012 loss: 1.3012 2022/08/03 06:20:39 - mmengine - INFO - Epoch(train) [106][980/1879] lr: 1.0000e-03 eta: 22:21:18 time: 0.2863 data_time: 0.0277 memory: 8198 grad_norm: 5.6972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2531 loss: 1.2531 2022/08/03 06:20:44 - mmengine - INFO - Epoch(train) [106][1000/1879] lr: 1.0000e-03 eta: 22:21:12 time: 0.2837 data_time: 0.0210 memory: 8198 grad_norm: 5.3512 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0733 loss: 1.0733 2022/08/03 06:20:50 - mmengine - INFO - Epoch(train) [106][1020/1879] lr: 1.0000e-03 eta: 22:21:06 time: 0.2854 data_time: 0.0229 memory: 8198 grad_norm: 5.4585 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2742 loss: 1.2742 2022/08/03 06:20:56 - mmengine - INFO - Epoch(train) [106][1040/1879] lr: 1.0000e-03 eta: 22:21:01 time: 0.2845 data_time: 0.0223 memory: 8198 grad_norm: 5.7335 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1616 loss: 1.1616 2022/08/03 06:21:02 - mmengine - INFO - Epoch(train) [106][1060/1879] lr: 1.0000e-03 eta: 22:20:55 time: 0.2836 data_time: 0.0210 memory: 8198 grad_norm: 5.4221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3335 loss: 1.3335 2022/08/03 06:21:07 - mmengine - INFO - Epoch(train) [106][1080/1879] lr: 1.0000e-03 eta: 22:20:49 time: 0.2887 data_time: 0.0244 memory: 8198 grad_norm: 5.4326 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0943 loss: 1.0943 2022/08/03 06:21:13 - mmengine - INFO - Epoch(train) [106][1100/1879] lr: 1.0000e-03 eta: 22:20:44 time: 0.2830 data_time: 0.0260 memory: 8198 grad_norm: 5.6365 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/08/03 06:21:19 - mmengine - INFO - Epoch(train) [106][1120/1879] lr: 1.0000e-03 eta: 22:20:38 time: 0.2904 data_time: 0.0214 memory: 8198 grad_norm: 5.3885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1398 loss: 1.1398 2022/08/03 06:21:25 - mmengine - INFO - Epoch(train) [106][1140/1879] lr: 1.0000e-03 eta: 22:20:32 time: 0.2817 data_time: 0.0236 memory: 8198 grad_norm: 5.6053 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2601 loss: 1.2601 2022/08/03 06:21:30 - mmengine - INFO - Epoch(train) [106][1160/1879] lr: 1.0000e-03 eta: 22:20:27 time: 0.2895 data_time: 0.0246 memory: 8198 grad_norm: 5.6188 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2647 loss: 1.2647 2022/08/03 06:21:36 - mmengine - INFO - Epoch(train) [106][1180/1879] lr: 1.0000e-03 eta: 22:20:21 time: 0.2843 data_time: 0.0186 memory: 8198 grad_norm: 5.3827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2349 loss: 1.2349 2022/08/03 06:21:42 - mmengine - INFO - Epoch(train) [106][1200/1879] lr: 1.0000e-03 eta: 22:20:16 time: 0.3046 data_time: 0.0200 memory: 8198 grad_norm: 5.8047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/08/03 06:21:48 - mmengine - INFO - Epoch(train) [106][1220/1879] lr: 1.0000e-03 eta: 22:20:10 time: 0.2861 data_time: 0.0251 memory: 8198 grad_norm: 5.3975 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1498 loss: 1.1498 2022/08/03 06:21:54 - mmengine - INFO - Epoch(train) [106][1240/1879] lr: 1.0000e-03 eta: 22:20:04 time: 0.2833 data_time: 0.0220 memory: 8198 grad_norm: 5.5223 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1877 loss: 1.1877 2022/08/03 06:21:59 - mmengine - INFO - Epoch(train) [106][1260/1879] lr: 1.0000e-03 eta: 22:19:59 time: 0.2833 data_time: 0.0251 memory: 8198 grad_norm: 5.6041 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2168 loss: 1.2168 2022/08/03 06:22:05 - mmengine - INFO - Epoch(train) [106][1280/1879] lr: 1.0000e-03 eta: 22:19:53 time: 0.2937 data_time: 0.0253 memory: 8198 grad_norm: 5.6558 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2400 loss: 1.2400 2022/08/03 06:22:11 - mmengine - INFO - Epoch(train) [106][1300/1879] lr: 1.0000e-03 eta: 22:19:48 time: 0.2822 data_time: 0.0217 memory: 8198 grad_norm: 5.6059 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3725 loss: 1.3725 2022/08/03 06:22:17 - mmengine - INFO - Epoch(train) [106][1320/1879] lr: 1.0000e-03 eta: 22:19:42 time: 0.2865 data_time: 0.0272 memory: 8198 grad_norm: 5.6997 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4338 loss: 1.4338 2022/08/03 06:22:22 - mmengine - INFO - Epoch(train) [106][1340/1879] lr: 1.0000e-03 eta: 22:19:36 time: 0.2802 data_time: 0.0220 memory: 8198 grad_norm: 5.5183 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3926 loss: 1.3926 2022/08/03 06:22:28 - mmengine - INFO - Epoch(train) [106][1360/1879] lr: 1.0000e-03 eta: 22:19:31 time: 0.2927 data_time: 0.0223 memory: 8198 grad_norm: 5.5193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2034 loss: 1.2034 2022/08/03 06:22:34 - mmengine - INFO - Epoch(train) [106][1380/1879] lr: 1.0000e-03 eta: 22:19:25 time: 0.2829 data_time: 0.0243 memory: 8198 grad_norm: 5.4847 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3977 loss: 1.3977 2022/08/03 06:22:39 - mmengine - INFO - Epoch(train) [106][1400/1879] lr: 1.0000e-03 eta: 22:19:19 time: 0.2821 data_time: 0.0251 memory: 8198 grad_norm: 5.6495 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/08/03 06:22:45 - mmengine - INFO - Epoch(train) [106][1420/1879] lr: 1.0000e-03 eta: 22:19:13 time: 0.2854 data_time: 0.0278 memory: 8198 grad_norm: 5.5186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2395 loss: 1.2395 2022/08/03 06:22:51 - mmengine - INFO - Epoch(train) [106][1440/1879] lr: 1.0000e-03 eta: 22:19:08 time: 0.2813 data_time: 0.0215 memory: 8198 grad_norm: 5.6516 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.3012 loss: 1.3012 2022/08/03 06:22:57 - mmengine - INFO - Epoch(train) [106][1460/1879] lr: 1.0000e-03 eta: 22:19:02 time: 0.2864 data_time: 0.0274 memory: 8198 grad_norm: 5.4066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1804 loss: 1.1804 2022/08/03 06:23:02 - mmengine - INFO - Epoch(train) [106][1480/1879] lr: 1.0000e-03 eta: 22:18:57 time: 0.2945 data_time: 0.0204 memory: 8198 grad_norm: 5.7593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4682 loss: 1.4682 2022/08/03 06:23:08 - mmengine - INFO - Epoch(train) [106][1500/1879] lr: 1.0000e-03 eta: 22:18:51 time: 0.2846 data_time: 0.0280 memory: 8198 grad_norm: 5.7510 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2182 loss: 1.2182 2022/08/03 06:23:14 - mmengine - INFO - Epoch(train) [106][1520/1879] lr: 1.0000e-03 eta: 22:18:45 time: 0.2847 data_time: 0.0235 memory: 8198 grad_norm: 5.5372 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3972 loss: 1.3972 2022/08/03 06:23:20 - mmengine - INFO - Epoch(train) [106][1540/1879] lr: 1.0000e-03 eta: 22:18:40 time: 0.2858 data_time: 0.0278 memory: 8198 grad_norm: 5.6254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4112 loss: 1.4112 2022/08/03 06:23:25 - mmengine - INFO - Epoch(train) [106][1560/1879] lr: 1.0000e-03 eta: 22:18:34 time: 0.2865 data_time: 0.0293 memory: 8198 grad_norm: 5.7388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1898 loss: 1.1898 2022/08/03 06:23:31 - mmengine - INFO - Epoch(train) [106][1580/1879] lr: 1.0000e-03 eta: 22:18:28 time: 0.2874 data_time: 0.0292 memory: 8198 grad_norm: 5.5573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2749 loss: 1.2749 2022/08/03 06:23:37 - mmengine - INFO - Epoch(train) [106][1600/1879] lr: 1.0000e-03 eta: 22:18:23 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 5.5604 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1353 loss: 1.1353 2022/08/03 06:23:42 - mmengine - INFO - Epoch(train) [106][1620/1879] lr: 1.0000e-03 eta: 22:18:17 time: 0.2811 data_time: 0.0226 memory: 8198 grad_norm: 5.4043 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0835 loss: 1.0835 2022/08/03 06:23:48 - mmengine - INFO - Epoch(train) [106][1640/1879] lr: 1.0000e-03 eta: 22:18:11 time: 0.2858 data_time: 0.0209 memory: 8198 grad_norm: 5.6874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0661 loss: 1.0661 2022/08/03 06:23:54 - mmengine - INFO - Epoch(train) [106][1660/1879] lr: 1.0000e-03 eta: 22:18:05 time: 0.2833 data_time: 0.0244 memory: 8198 grad_norm: 5.4183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2577 loss: 1.2577 2022/08/03 06:24:00 - mmengine - INFO - Epoch(train) [106][1680/1879] lr: 1.0000e-03 eta: 22:18:00 time: 0.2832 data_time: 0.0200 memory: 8198 grad_norm: 5.5001 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4945 loss: 1.4945 2022/08/03 06:24:05 - mmengine - INFO - Epoch(train) [106][1700/1879] lr: 1.0000e-03 eta: 22:17:54 time: 0.2832 data_time: 0.0240 memory: 8198 grad_norm: 5.6636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3271 loss: 1.3271 2022/08/03 06:24:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:24:11 - mmengine - INFO - Epoch(train) [106][1720/1879] lr: 1.0000e-03 eta: 22:17:48 time: 0.2840 data_time: 0.0209 memory: 8198 grad_norm: 5.5819 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2802 loss: 1.2802 2022/08/03 06:24:17 - mmengine - INFO - Epoch(train) [106][1740/1879] lr: 1.0000e-03 eta: 22:17:43 time: 0.2984 data_time: 0.0249 memory: 8198 grad_norm: 5.5287 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2635 loss: 1.2635 2022/08/03 06:24:23 - mmengine - INFO - Epoch(train) [106][1760/1879] lr: 1.0000e-03 eta: 22:17:37 time: 0.2923 data_time: 0.0190 memory: 8198 grad_norm: 5.3560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/08/03 06:24:28 - mmengine - INFO - Epoch(train) [106][1780/1879] lr: 1.0000e-03 eta: 22:17:32 time: 0.2804 data_time: 0.0228 memory: 8198 grad_norm: 5.5995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2378 loss: 1.2378 2022/08/03 06:24:34 - mmengine - INFO - Epoch(train) [106][1800/1879] lr: 1.0000e-03 eta: 22:17:26 time: 0.2855 data_time: 0.0232 memory: 8198 grad_norm: 5.6331 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2481 loss: 1.2481 2022/08/03 06:24:40 - mmengine - INFO - Epoch(train) [106][1820/1879] lr: 1.0000e-03 eta: 22:17:21 time: 0.2928 data_time: 0.0171 memory: 8198 grad_norm: 5.5208 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/08/03 06:24:46 - mmengine - INFO - Epoch(train) [106][1840/1879] lr: 1.0000e-03 eta: 22:17:15 time: 0.2828 data_time: 0.0247 memory: 8198 grad_norm: 5.6366 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2633 loss: 1.2633 2022/08/03 06:24:51 - mmengine - INFO - Epoch(train) [106][1860/1879] lr: 1.0000e-03 eta: 22:17:09 time: 0.2819 data_time: 0.0240 memory: 8198 grad_norm: 5.6912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3510 loss: 1.3510 2022/08/03 06:24:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:24:57 - mmengine - INFO - Epoch(train) [106][1879/1879] lr: 1.0000e-03 eta: 22:17:09 time: 0.2834 data_time: 0.0151 memory: 8198 grad_norm: 5.8208 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/08/03 06:25:05 - mmengine - INFO - Epoch(train) [107][20/1879] lr: 1.0000e-03 eta: 22:16:53 time: 0.3966 data_time: 0.1127 memory: 8198 grad_norm: 5.4580 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2220 loss: 1.2220 2022/08/03 06:25:11 - mmengine - INFO - Epoch(train) [107][40/1879] lr: 1.0000e-03 eta: 22:16:48 time: 0.2964 data_time: 0.0230 memory: 8198 grad_norm: 5.6072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1798 loss: 1.1798 2022/08/03 06:25:17 - mmengine - INFO - Epoch(train) [107][60/1879] lr: 1.0000e-03 eta: 22:16:43 time: 0.3002 data_time: 0.0216 memory: 8198 grad_norm: 5.4999 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2398 loss: 1.2398 2022/08/03 06:25:22 - mmengine - INFO - Epoch(train) [107][80/1879] lr: 1.0000e-03 eta: 22:16:37 time: 0.2822 data_time: 0.0233 memory: 8198 grad_norm: 5.3889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/08/03 06:25:28 - mmengine - INFO - Epoch(train) [107][100/1879] lr: 1.0000e-03 eta: 22:16:31 time: 0.2860 data_time: 0.0238 memory: 8198 grad_norm: 5.7225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2464 loss: 1.2464 2022/08/03 06:25:34 - mmengine - INFO - Epoch(train) [107][120/1879] lr: 1.0000e-03 eta: 22:16:26 time: 0.2860 data_time: 0.0241 memory: 8198 grad_norm: 5.4547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1893 loss: 1.1893 2022/08/03 06:25:40 - mmengine - INFO - Epoch(train) [107][140/1879] lr: 1.0000e-03 eta: 22:16:20 time: 0.2843 data_time: 0.0263 memory: 8198 grad_norm: 5.4934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3037 loss: 1.3037 2022/08/03 06:25:45 - mmengine - INFO - Epoch(train) [107][160/1879] lr: 1.0000e-03 eta: 22:16:14 time: 0.2816 data_time: 0.0193 memory: 8198 grad_norm: 5.7083 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2224 loss: 1.2224 2022/08/03 06:25:51 - mmengine - INFO - Epoch(train) [107][180/1879] lr: 1.0000e-03 eta: 22:16:09 time: 0.2933 data_time: 0.0244 memory: 8198 grad_norm: 5.6727 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1715 loss: 1.1715 2022/08/03 06:25:57 - mmengine - INFO - Epoch(train) [107][200/1879] lr: 1.0000e-03 eta: 22:16:03 time: 0.2862 data_time: 0.0233 memory: 8198 grad_norm: 5.7376 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2903 loss: 1.2903 2022/08/03 06:26:02 - mmengine - INFO - Epoch(train) [107][220/1879] lr: 1.0000e-03 eta: 22:15:57 time: 0.2816 data_time: 0.0220 memory: 8198 grad_norm: 5.7314 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1955 loss: 1.1955 2022/08/03 06:26:08 - mmengine - INFO - Epoch(train) [107][240/1879] lr: 1.0000e-03 eta: 22:15:52 time: 0.2834 data_time: 0.0215 memory: 8198 grad_norm: 5.4619 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2942 loss: 1.2942 2022/08/03 06:26:14 - mmengine - INFO - Epoch(train) [107][260/1879] lr: 1.0000e-03 eta: 22:15:46 time: 0.2931 data_time: 0.0243 memory: 8198 grad_norm: 5.4974 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3517 loss: 1.3517 2022/08/03 06:26:20 - mmengine - INFO - Epoch(train) [107][280/1879] lr: 1.0000e-03 eta: 22:15:40 time: 0.2827 data_time: 0.0242 memory: 8198 grad_norm: 5.6889 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0815 loss: 1.0815 2022/08/03 06:26:25 - mmengine - INFO - Epoch(train) [107][300/1879] lr: 1.0000e-03 eta: 22:15:35 time: 0.2860 data_time: 0.0246 memory: 8198 grad_norm: 5.5145 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1426 loss: 1.1426 2022/08/03 06:26:31 - mmengine - INFO - Epoch(train) [107][320/1879] lr: 1.0000e-03 eta: 22:15:29 time: 0.2839 data_time: 0.0215 memory: 8198 grad_norm: 5.5895 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1885 loss: 1.1885 2022/08/03 06:26:37 - mmengine - INFO - Epoch(train) [107][340/1879] lr: 1.0000e-03 eta: 22:15:24 time: 0.2888 data_time: 0.0248 memory: 8198 grad_norm: 5.5285 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1437 loss: 1.1437 2022/08/03 06:26:43 - mmengine - INFO - Epoch(train) [107][360/1879] lr: 1.0000e-03 eta: 22:15:18 time: 0.2826 data_time: 0.0204 memory: 8198 grad_norm: 5.4915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3246 loss: 1.3246 2022/08/03 06:26:48 - mmengine - INFO - Epoch(train) [107][380/1879] lr: 1.0000e-03 eta: 22:15:12 time: 0.2829 data_time: 0.0288 memory: 8198 grad_norm: 5.4562 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3156 loss: 1.3156 2022/08/03 06:26:54 - mmengine - INFO - Epoch(train) [107][400/1879] lr: 1.0000e-03 eta: 22:15:06 time: 0.2835 data_time: 0.0239 memory: 8198 grad_norm: 5.4404 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3860 loss: 1.3860 2022/08/03 06:27:00 - mmengine - INFO - Epoch(train) [107][420/1879] lr: 1.0000e-03 eta: 22:15:01 time: 0.2845 data_time: 0.0244 memory: 8198 grad_norm: 5.5005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2794 loss: 1.2794 2022/08/03 06:27:05 - mmengine - INFO - Epoch(train) [107][440/1879] lr: 1.0000e-03 eta: 22:14:55 time: 0.2803 data_time: 0.0247 memory: 8198 grad_norm: 5.6208 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3181 loss: 1.3181 2022/08/03 06:27:11 - mmengine - INFO - Epoch(train) [107][460/1879] lr: 1.0000e-03 eta: 22:14:49 time: 0.2850 data_time: 0.0240 memory: 8198 grad_norm: 5.7601 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3539 loss: 1.3539 2022/08/03 06:27:17 - mmengine - INFO - Epoch(train) [107][480/1879] lr: 1.0000e-03 eta: 22:14:43 time: 0.2836 data_time: 0.0244 memory: 8198 grad_norm: 5.7924 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2881 loss: 1.2881 2022/08/03 06:27:22 - mmengine - INFO - Epoch(train) [107][500/1879] lr: 1.0000e-03 eta: 22:14:38 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 5.6601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2246 loss: 1.2246 2022/08/03 06:27:28 - mmengine - INFO - Epoch(train) [107][520/1879] lr: 1.0000e-03 eta: 22:14:32 time: 0.2880 data_time: 0.0223 memory: 8198 grad_norm: 5.4063 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3001 loss: 1.3001 2022/08/03 06:27:34 - mmengine - INFO - Epoch(train) [107][540/1879] lr: 1.0000e-03 eta: 22:14:26 time: 0.2828 data_time: 0.0230 memory: 8198 grad_norm: 5.7443 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3219 loss: 1.3219 2022/08/03 06:27:40 - mmengine - INFO - Epoch(train) [107][560/1879] lr: 1.0000e-03 eta: 22:14:21 time: 0.2812 data_time: 0.0199 memory: 8198 grad_norm: 5.5512 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2864 loss: 1.2864 2022/08/03 06:27:45 - mmengine - INFO - Epoch(train) [107][580/1879] lr: 1.0000e-03 eta: 22:14:15 time: 0.2888 data_time: 0.0279 memory: 8198 grad_norm: 5.3813 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2811 loss: 1.2811 2022/08/03 06:27:51 - mmengine - INFO - Epoch(train) [107][600/1879] lr: 1.0000e-03 eta: 22:14:09 time: 0.2879 data_time: 0.0225 memory: 8198 grad_norm: 5.6231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3011 loss: 1.3011 2022/08/03 06:27:57 - mmengine - INFO - Epoch(train) [107][620/1879] lr: 1.0000e-03 eta: 22:14:04 time: 0.2831 data_time: 0.0216 memory: 8198 grad_norm: 5.5825 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1234 loss: 1.1234 2022/08/03 06:28:03 - mmengine - INFO - Epoch(train) [107][640/1879] lr: 1.0000e-03 eta: 22:13:58 time: 0.2869 data_time: 0.0205 memory: 8198 grad_norm: 5.6020 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2749 loss: 1.2749 2022/08/03 06:28:08 - mmengine - INFO - Epoch(train) [107][660/1879] lr: 1.0000e-03 eta: 22:13:52 time: 0.2823 data_time: 0.0246 memory: 8198 grad_norm: 5.6206 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2597 loss: 1.2597 2022/08/03 06:28:14 - mmengine - INFO - Epoch(train) [107][680/1879] lr: 1.0000e-03 eta: 22:13:46 time: 0.2795 data_time: 0.0253 memory: 8198 grad_norm: 5.4446 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1726 loss: 1.1726 2022/08/03 06:28:20 - mmengine - INFO - Epoch(train) [107][700/1879] lr: 1.0000e-03 eta: 22:13:41 time: 0.2870 data_time: 0.0251 memory: 8198 grad_norm: 5.4336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3215 loss: 1.3215 2022/08/03 06:28:25 - mmengine - INFO - Epoch(train) [107][720/1879] lr: 1.0000e-03 eta: 22:13:35 time: 0.2820 data_time: 0.0215 memory: 8198 grad_norm: 5.7174 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1559 loss: 1.1559 2022/08/03 06:28:31 - mmengine - INFO - Epoch(train) [107][740/1879] lr: 1.0000e-03 eta: 22:13:29 time: 0.2825 data_time: 0.0207 memory: 8198 grad_norm: 5.6210 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2857 loss: 1.2857 2022/08/03 06:28:37 - mmengine - INFO - Epoch(train) [107][760/1879] lr: 1.0000e-03 eta: 22:13:24 time: 0.2892 data_time: 0.0193 memory: 8198 grad_norm: 5.6313 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2589 loss: 1.2589 2022/08/03 06:28:42 - mmengine - INFO - Epoch(train) [107][780/1879] lr: 1.0000e-03 eta: 22:13:18 time: 0.2863 data_time: 0.0223 memory: 8198 grad_norm: 5.5509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3727 loss: 1.3727 2022/08/03 06:28:48 - mmengine - INFO - Epoch(train) [107][800/1879] lr: 1.0000e-03 eta: 22:13:12 time: 0.2841 data_time: 0.0227 memory: 8198 grad_norm: 5.5784 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1962 loss: 1.1962 2022/08/03 06:28:54 - mmengine - INFO - Epoch(train) [107][820/1879] lr: 1.0000e-03 eta: 22:13:07 time: 0.2835 data_time: 0.0260 memory: 8198 grad_norm: 5.5465 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2039 loss: 1.2039 2022/08/03 06:28:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:28:59 - mmengine - INFO - Epoch(train) [107][840/1879] lr: 1.0000e-03 eta: 22:13:01 time: 0.2838 data_time: 0.0223 memory: 8198 grad_norm: 5.6527 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4192 loss: 1.4192 2022/08/03 06:29:05 - mmengine - INFO - Epoch(train) [107][860/1879] lr: 1.0000e-03 eta: 22:12:55 time: 0.2828 data_time: 0.0250 memory: 8198 grad_norm: 5.6159 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2265 loss: 1.2265 2022/08/03 06:29:11 - mmengine - INFO - Epoch(train) [107][880/1879] lr: 1.0000e-03 eta: 22:12:49 time: 0.2859 data_time: 0.0229 memory: 8198 grad_norm: 5.4419 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0501 loss: 1.0501 2022/08/03 06:29:17 - mmengine - INFO - Epoch(train) [107][900/1879] lr: 1.0000e-03 eta: 22:12:44 time: 0.2847 data_time: 0.0250 memory: 8198 grad_norm: 5.6158 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2011 loss: 1.2011 2022/08/03 06:29:22 - mmengine - INFO - Epoch(train) [107][920/1879] lr: 1.0000e-03 eta: 22:12:38 time: 0.2829 data_time: 0.0234 memory: 8198 grad_norm: 5.6103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3950 loss: 1.3950 2022/08/03 06:29:28 - mmengine - INFO - Epoch(train) [107][940/1879] lr: 1.0000e-03 eta: 22:12:32 time: 0.2848 data_time: 0.0202 memory: 8198 grad_norm: 5.4933 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1550 loss: 1.1550 2022/08/03 06:29:34 - mmengine - INFO - Epoch(train) [107][960/1879] lr: 1.0000e-03 eta: 22:12:27 time: 0.2826 data_time: 0.0232 memory: 8198 grad_norm: 5.4591 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1542 loss: 1.1542 2022/08/03 06:29:39 - mmengine - INFO - Epoch(train) [107][980/1879] lr: 1.0000e-03 eta: 22:12:21 time: 0.2846 data_time: 0.0219 memory: 8198 grad_norm: 5.7148 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1705 loss: 1.1705 2022/08/03 06:29:45 - mmengine - INFO - Epoch(train) [107][1000/1879] lr: 1.0000e-03 eta: 22:12:15 time: 0.2865 data_time: 0.0187 memory: 8198 grad_norm: 5.4592 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0781 loss: 1.0781 2022/08/03 06:29:51 - mmengine - INFO - Epoch(train) [107][1020/1879] lr: 1.0000e-03 eta: 22:12:10 time: 0.2829 data_time: 0.0257 memory: 8198 grad_norm: 5.6771 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2773 loss: 1.2773 2022/08/03 06:29:57 - mmengine - INFO - Epoch(train) [107][1040/1879] lr: 1.0000e-03 eta: 22:12:04 time: 0.2915 data_time: 0.0217 memory: 8198 grad_norm: 5.7447 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2707 loss: 1.2707 2022/08/03 06:30:03 - mmengine - INFO - Epoch(train) [107][1060/1879] lr: 1.0000e-03 eta: 22:11:59 time: 0.2966 data_time: 0.0221 memory: 8198 grad_norm: 5.6247 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3736 loss: 1.3736 2022/08/03 06:30:08 - mmengine - INFO - Epoch(train) [107][1080/1879] lr: 1.0000e-03 eta: 22:11:53 time: 0.2808 data_time: 0.0201 memory: 8198 grad_norm: 5.5826 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3273 loss: 1.3273 2022/08/03 06:30:14 - mmengine - INFO - Epoch(train) [107][1100/1879] lr: 1.0000e-03 eta: 22:11:47 time: 0.2819 data_time: 0.0239 memory: 8198 grad_norm: 5.5803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1723 loss: 1.1723 2022/08/03 06:30:20 - mmengine - INFO - Epoch(train) [107][1120/1879] lr: 1.0000e-03 eta: 22:11:41 time: 0.2858 data_time: 0.0179 memory: 8198 grad_norm: 5.5349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/08/03 06:30:25 - mmengine - INFO - Epoch(train) [107][1140/1879] lr: 1.0000e-03 eta: 22:11:36 time: 0.2821 data_time: 0.0274 memory: 8198 grad_norm: 5.7514 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4195 loss: 1.4195 2022/08/03 06:30:31 - mmengine - INFO - Epoch(train) [107][1160/1879] lr: 1.0000e-03 eta: 22:11:30 time: 0.2845 data_time: 0.0254 memory: 8198 grad_norm: 5.7766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4596 loss: 1.4596 2022/08/03 06:30:37 - mmengine - INFO - Epoch(train) [107][1180/1879] lr: 1.0000e-03 eta: 22:11:24 time: 0.2822 data_time: 0.0252 memory: 8198 grad_norm: 5.5111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0684 loss: 1.0684 2022/08/03 06:30:42 - mmengine - INFO - Epoch(train) [107][1200/1879] lr: 1.0000e-03 eta: 22:11:19 time: 0.2833 data_time: 0.0217 memory: 8198 grad_norm: 5.4838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1056 loss: 1.1056 2022/08/03 06:30:48 - mmengine - INFO - Epoch(train) [107][1220/1879] lr: 1.0000e-03 eta: 22:11:13 time: 0.2827 data_time: 0.0216 memory: 8198 grad_norm: 5.5990 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0116 loss: 1.0116 2022/08/03 06:30:54 - mmengine - INFO - Epoch(train) [107][1240/1879] lr: 1.0000e-03 eta: 22:11:07 time: 0.2812 data_time: 0.0226 memory: 8198 grad_norm: 5.5964 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3863 loss: 1.3863 2022/08/03 06:31:00 - mmengine - INFO - Epoch(train) [107][1260/1879] lr: 1.0000e-03 eta: 22:11:02 time: 0.2960 data_time: 0.0218 memory: 8198 grad_norm: 5.5079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/08/03 06:31:05 - mmengine - INFO - Epoch(train) [107][1280/1879] lr: 1.0000e-03 eta: 22:10:56 time: 0.2842 data_time: 0.0242 memory: 8198 grad_norm: 5.5666 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1871 loss: 1.1871 2022/08/03 06:31:11 - mmengine - INFO - Epoch(train) [107][1300/1879] lr: 1.0000e-03 eta: 22:10:50 time: 0.2873 data_time: 0.0244 memory: 8198 grad_norm: 5.5184 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2309 loss: 1.2309 2022/08/03 06:31:17 - mmengine - INFO - Epoch(train) [107][1320/1879] lr: 1.0000e-03 eta: 22:10:45 time: 0.2890 data_time: 0.0211 memory: 8198 grad_norm: 5.5130 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2787 loss: 1.2787 2022/08/03 06:31:22 - mmengine - INFO - Epoch(train) [107][1340/1879] lr: 1.0000e-03 eta: 22:10:39 time: 0.2826 data_time: 0.0266 memory: 8198 grad_norm: 5.5593 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2322 loss: 1.2322 2022/08/03 06:31:28 - mmengine - INFO - Epoch(train) [107][1360/1879] lr: 1.0000e-03 eta: 22:10:33 time: 0.2889 data_time: 0.0213 memory: 8198 grad_norm: 5.4990 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0525 loss: 1.0525 2022/08/03 06:31:34 - mmengine - INFO - Epoch(train) [107][1380/1879] lr: 1.0000e-03 eta: 22:10:28 time: 0.2832 data_time: 0.0230 memory: 8198 grad_norm: 5.6587 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2539 loss: 1.2539 2022/08/03 06:31:40 - mmengine - INFO - Epoch(train) [107][1400/1879] lr: 1.0000e-03 eta: 22:10:22 time: 0.2941 data_time: 0.0255 memory: 8198 grad_norm: 5.4222 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/08/03 06:31:46 - mmengine - INFO - Epoch(train) [107][1420/1879] lr: 1.0000e-03 eta: 22:10:17 time: 0.2841 data_time: 0.0211 memory: 8198 grad_norm: 5.4777 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4413 loss: 1.4413 2022/08/03 06:31:51 - mmengine - INFO - Epoch(train) [107][1440/1879] lr: 1.0000e-03 eta: 22:10:11 time: 0.2953 data_time: 0.0207 memory: 8198 grad_norm: 5.4858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1967 loss: 1.1967 2022/08/03 06:31:57 - mmengine - INFO - Epoch(train) [107][1460/1879] lr: 1.0000e-03 eta: 22:10:05 time: 0.2818 data_time: 0.0206 memory: 8198 grad_norm: 5.5795 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2193 loss: 1.2193 2022/08/03 06:32:03 - mmengine - INFO - Epoch(train) [107][1480/1879] lr: 1.0000e-03 eta: 22:10:00 time: 0.2838 data_time: 0.0246 memory: 8198 grad_norm: 5.5291 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1411 loss: 1.1411 2022/08/03 06:32:09 - mmengine - INFO - Epoch(train) [107][1500/1879] lr: 1.0000e-03 eta: 22:09:54 time: 0.2969 data_time: 0.0223 memory: 8198 grad_norm: 5.3923 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/08/03 06:32:14 - mmengine - INFO - Epoch(train) [107][1520/1879] lr: 1.0000e-03 eta: 22:09:49 time: 0.2850 data_time: 0.0229 memory: 8198 grad_norm: 5.4820 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3911 loss: 1.3911 2022/08/03 06:32:20 - mmengine - INFO - Epoch(train) [107][1540/1879] lr: 1.0000e-03 eta: 22:09:43 time: 0.2841 data_time: 0.0241 memory: 8198 grad_norm: 5.7155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2840 loss: 1.2840 2022/08/03 06:32:26 - mmengine - INFO - Epoch(train) [107][1560/1879] lr: 1.0000e-03 eta: 22:09:37 time: 0.2858 data_time: 0.0258 memory: 8198 grad_norm: 5.6496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3736 loss: 1.3736 2022/08/03 06:32:32 - mmengine - INFO - Epoch(train) [107][1580/1879] lr: 1.0000e-03 eta: 22:09:32 time: 0.2862 data_time: 0.0263 memory: 8198 grad_norm: 5.6266 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1053 loss: 1.1053 2022/08/03 06:32:37 - mmengine - INFO - Epoch(train) [107][1600/1879] lr: 1.0000e-03 eta: 22:09:26 time: 0.2826 data_time: 0.0258 memory: 8198 grad_norm: 5.6595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/08/03 06:32:43 - mmengine - INFO - Epoch(train) [107][1620/1879] lr: 1.0000e-03 eta: 22:09:20 time: 0.2838 data_time: 0.0240 memory: 8198 grad_norm: 5.6587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3146 loss: 1.3146 2022/08/03 06:32:49 - mmengine - INFO - Epoch(train) [107][1640/1879] lr: 1.0000e-03 eta: 22:09:14 time: 0.2848 data_time: 0.0223 memory: 8198 grad_norm: 5.5289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1259 loss: 1.1259 2022/08/03 06:32:54 - mmengine - INFO - Epoch(train) [107][1660/1879] lr: 1.0000e-03 eta: 22:09:09 time: 0.2813 data_time: 0.0272 memory: 8198 grad_norm: 5.6489 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/08/03 06:33:00 - mmengine - INFO - Epoch(train) [107][1680/1879] lr: 1.0000e-03 eta: 22:09:03 time: 0.2855 data_time: 0.0203 memory: 8198 grad_norm: 5.6321 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2740 loss: 1.2740 2022/08/03 06:33:06 - mmengine - INFO - Epoch(train) [107][1700/1879] lr: 1.0000e-03 eta: 22:08:57 time: 0.2817 data_time: 0.0269 memory: 8198 grad_norm: 5.3977 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1496 loss: 1.1496 2022/08/03 06:33:11 - mmengine - INFO - Epoch(train) [107][1720/1879] lr: 1.0000e-03 eta: 22:08:51 time: 0.2827 data_time: 0.0249 memory: 8198 grad_norm: 5.6290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3141 loss: 1.3141 2022/08/03 06:33:17 - mmengine - INFO - Epoch(train) [107][1740/1879] lr: 1.0000e-03 eta: 22:08:46 time: 0.2887 data_time: 0.0261 memory: 8198 grad_norm: 5.7164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3010 loss: 1.3010 2022/08/03 06:33:23 - mmengine - INFO - Epoch(train) [107][1760/1879] lr: 1.0000e-03 eta: 22:08:40 time: 0.2813 data_time: 0.0184 memory: 8198 grad_norm: 5.5469 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2143 loss: 1.2143 2022/08/03 06:33:29 - mmengine - INFO - Epoch(train) [107][1780/1879] lr: 1.0000e-03 eta: 22:08:35 time: 0.2880 data_time: 0.0238 memory: 8198 grad_norm: 5.6382 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2450 loss: 1.2450 2022/08/03 06:33:34 - mmengine - INFO - Epoch(train) [107][1800/1879] lr: 1.0000e-03 eta: 22:08:29 time: 0.2820 data_time: 0.0203 memory: 8198 grad_norm: 5.7255 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1845 loss: 1.1845 2022/08/03 06:33:40 - mmengine - INFO - Epoch(train) [107][1820/1879] lr: 1.0000e-03 eta: 22:08:23 time: 0.2854 data_time: 0.0234 memory: 8198 grad_norm: 5.5621 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2074 loss: 1.2074 2022/08/03 06:33:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:33:46 - mmengine - INFO - Epoch(train) [107][1840/1879] lr: 1.0000e-03 eta: 22:08:17 time: 0.2819 data_time: 0.0177 memory: 8198 grad_norm: 5.6294 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2011 loss: 1.2011 2022/08/03 06:33:51 - mmengine - INFO - Epoch(train) [107][1860/1879] lr: 1.0000e-03 eta: 22:08:12 time: 0.2857 data_time: 0.0272 memory: 8198 grad_norm: 5.7186 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1001 loss: 1.1001 2022/08/03 06:33:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:33:56 - mmengine - INFO - Epoch(train) [107][1879/1879] lr: 1.0000e-03 eta: 22:08:12 time: 0.2582 data_time: 0.0165 memory: 8198 grad_norm: 5.9493 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4157 loss: 1.4157 2022/08/03 06:34:04 - mmengine - INFO - Epoch(train) [108][20/1879] lr: 1.0000e-03 eta: 22:07:56 time: 0.3976 data_time: 0.1231 memory: 8198 grad_norm: 5.6132 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3311 loss: 1.3311 2022/08/03 06:34:10 - mmengine - INFO - Epoch(train) [108][40/1879] lr: 1.0000e-03 eta: 22:07:51 time: 0.2862 data_time: 0.0190 memory: 8198 grad_norm: 5.8320 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2780 loss: 1.2780 2022/08/03 06:34:16 - mmengine - INFO - Epoch(train) [108][60/1879] lr: 1.0000e-03 eta: 22:07:45 time: 0.3017 data_time: 0.0246 memory: 8198 grad_norm: 5.6151 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1028 loss: 1.1028 2022/08/03 06:34:22 - mmengine - INFO - Epoch(train) [108][80/1879] lr: 1.0000e-03 eta: 22:07:40 time: 0.2970 data_time: 0.0204 memory: 8198 grad_norm: 5.6576 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3933 loss: 1.3933 2022/08/03 06:34:28 - mmengine - INFO - Epoch(train) [108][100/1879] lr: 1.0000e-03 eta: 22:07:34 time: 0.2832 data_time: 0.0275 memory: 8198 grad_norm: 5.6681 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2700 loss: 1.2700 2022/08/03 06:34:33 - mmengine - INFO - Epoch(train) [108][120/1879] lr: 1.0000e-03 eta: 22:07:28 time: 0.2832 data_time: 0.0176 memory: 8198 grad_norm: 5.5920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1660 loss: 1.1660 2022/08/03 06:34:39 - mmengine - INFO - Epoch(train) [108][140/1879] lr: 1.0000e-03 eta: 22:07:23 time: 0.2928 data_time: 0.0199 memory: 8198 grad_norm: 5.7737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2623 loss: 1.2623 2022/08/03 06:34:45 - mmengine - INFO - Epoch(train) [108][160/1879] lr: 1.0000e-03 eta: 22:07:17 time: 0.2822 data_time: 0.0225 memory: 8198 grad_norm: 5.5966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2603 loss: 1.2603 2022/08/03 06:34:51 - mmengine - INFO - Epoch(train) [108][180/1879] lr: 1.0000e-03 eta: 22:07:12 time: 0.3075 data_time: 0.0209 memory: 8198 grad_norm: 5.5788 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0148 loss: 1.0148 2022/08/03 06:34:57 - mmengine - INFO - Epoch(train) [108][200/1879] lr: 1.0000e-03 eta: 22:07:06 time: 0.2831 data_time: 0.0206 memory: 8198 grad_norm: 5.4087 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/03 06:35:03 - mmengine - INFO - Epoch(train) [108][220/1879] lr: 1.0000e-03 eta: 22:07:01 time: 0.2862 data_time: 0.0263 memory: 8198 grad_norm: 5.6953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2674 loss: 1.2674 2022/08/03 06:35:08 - mmengine - INFO - Epoch(train) [108][240/1879] lr: 1.0000e-03 eta: 22:06:55 time: 0.2813 data_time: 0.0216 memory: 8198 grad_norm: 5.6558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/08/03 06:35:14 - mmengine - INFO - Epoch(train) [108][260/1879] lr: 1.0000e-03 eta: 22:06:49 time: 0.2830 data_time: 0.0237 memory: 8198 grad_norm: 5.5461 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1262 loss: 1.1262 2022/08/03 06:35:20 - mmengine - INFO - Epoch(train) [108][280/1879] lr: 1.0000e-03 eta: 22:06:44 time: 0.2839 data_time: 0.0188 memory: 8198 grad_norm: 5.6279 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2792 loss: 1.2792 2022/08/03 06:35:25 - mmengine - INFO - Epoch(train) [108][300/1879] lr: 1.0000e-03 eta: 22:06:38 time: 0.2847 data_time: 0.0211 memory: 8198 grad_norm: 5.6532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/08/03 06:35:31 - mmengine - INFO - Epoch(train) [108][320/1879] lr: 1.0000e-03 eta: 22:06:32 time: 0.2841 data_time: 0.0216 memory: 8198 grad_norm: 5.8057 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2364 loss: 1.2364 2022/08/03 06:35:37 - mmengine - INFO - Epoch(train) [108][340/1879] lr: 1.0000e-03 eta: 22:06:26 time: 0.2839 data_time: 0.0201 memory: 8198 grad_norm: 5.4497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2052 loss: 1.2052 2022/08/03 06:35:42 - mmengine - INFO - Epoch(train) [108][360/1879] lr: 1.0000e-03 eta: 22:06:21 time: 0.2909 data_time: 0.0326 memory: 8198 grad_norm: 5.4604 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2931 loss: 1.2931 2022/08/03 06:35:48 - mmengine - INFO - Epoch(train) [108][380/1879] lr: 1.0000e-03 eta: 22:06:15 time: 0.2829 data_time: 0.0234 memory: 8198 grad_norm: 5.5781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2492 loss: 1.2492 2022/08/03 06:35:54 - mmengine - INFO - Epoch(train) [108][400/1879] lr: 1.0000e-03 eta: 22:06:09 time: 0.2822 data_time: 0.0200 memory: 8198 grad_norm: 5.5857 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2045 loss: 1.2045 2022/08/03 06:36:00 - mmengine - INFO - Epoch(train) [108][420/1879] lr: 1.0000e-03 eta: 22:06:04 time: 0.2857 data_time: 0.0197 memory: 8198 grad_norm: 5.5988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2761 loss: 1.2761 2022/08/03 06:36:05 - mmengine - INFO - Epoch(train) [108][440/1879] lr: 1.0000e-03 eta: 22:05:58 time: 0.2786 data_time: 0.0190 memory: 8198 grad_norm: 5.8090 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1398 loss: 1.1398 2022/08/03 06:36:11 - mmengine - INFO - Epoch(train) [108][460/1879] lr: 1.0000e-03 eta: 22:05:52 time: 0.2836 data_time: 0.0240 memory: 8198 grad_norm: 5.5999 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/08/03 06:36:17 - mmengine - INFO - Epoch(train) [108][480/1879] lr: 1.0000e-03 eta: 22:05:46 time: 0.2829 data_time: 0.0217 memory: 8198 grad_norm: 5.7690 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/08/03 06:36:22 - mmengine - INFO - Epoch(train) [108][500/1879] lr: 1.0000e-03 eta: 22:05:41 time: 0.2873 data_time: 0.0265 memory: 8198 grad_norm: 5.5005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/08/03 06:36:28 - mmengine - INFO - Epoch(train) [108][520/1879] lr: 1.0000e-03 eta: 22:05:35 time: 0.2876 data_time: 0.0184 memory: 8198 grad_norm: 5.5019 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1927 loss: 1.1927 2022/08/03 06:36:34 - mmengine - INFO - Epoch(train) [108][540/1879] lr: 1.0000e-03 eta: 22:05:29 time: 0.2823 data_time: 0.0220 memory: 8198 grad_norm: 5.4854 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2940 loss: 1.2940 2022/08/03 06:36:39 - mmengine - INFO - Epoch(train) [108][560/1879] lr: 1.0000e-03 eta: 22:05:24 time: 0.2890 data_time: 0.0208 memory: 8198 grad_norm: 5.4963 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1498 loss: 1.1498 2022/08/03 06:36:45 - mmengine - INFO - Epoch(train) [108][580/1879] lr: 1.0000e-03 eta: 22:05:18 time: 0.2886 data_time: 0.0167 memory: 8198 grad_norm: 5.4903 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4081 loss: 1.4081 2022/08/03 06:36:51 - mmengine - INFO - Epoch(train) [108][600/1879] lr: 1.0000e-03 eta: 22:05:13 time: 0.2842 data_time: 0.0238 memory: 8198 grad_norm: 5.6679 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2316 loss: 1.2316 2022/08/03 06:36:57 - mmengine - INFO - Epoch(train) [108][620/1879] lr: 1.0000e-03 eta: 22:05:07 time: 0.2876 data_time: 0.0273 memory: 8198 grad_norm: 5.6024 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2210 loss: 1.2210 2022/08/03 06:37:02 - mmengine - INFO - Epoch(train) [108][640/1879] lr: 1.0000e-03 eta: 22:05:01 time: 0.2841 data_time: 0.0207 memory: 8198 grad_norm: 5.8160 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3187 loss: 1.3187 2022/08/03 06:37:08 - mmengine - INFO - Epoch(train) [108][660/1879] lr: 1.0000e-03 eta: 22:04:55 time: 0.2800 data_time: 0.0249 memory: 8198 grad_norm: 5.5041 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9920 loss: 0.9920 2022/08/03 06:37:14 - mmengine - INFO - Epoch(train) [108][680/1879] lr: 1.0000e-03 eta: 22:04:50 time: 0.2821 data_time: 0.0214 memory: 8198 grad_norm: 5.4711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2314 loss: 1.2314 2022/08/03 06:37:19 - mmengine - INFO - Epoch(train) [108][700/1879] lr: 1.0000e-03 eta: 22:04:44 time: 0.2831 data_time: 0.0232 memory: 8198 grad_norm: 5.5032 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2731 loss: 1.2731 2022/08/03 06:37:25 - mmengine - INFO - Epoch(train) [108][720/1879] lr: 1.0000e-03 eta: 22:04:38 time: 0.2873 data_time: 0.0240 memory: 8198 grad_norm: 5.7716 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2684 loss: 1.2684 2022/08/03 06:37:31 - mmengine - INFO - Epoch(train) [108][740/1879] lr: 1.0000e-03 eta: 22:04:33 time: 0.2886 data_time: 0.0262 memory: 8198 grad_norm: 5.5718 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3825 loss: 1.3825 2022/08/03 06:37:37 - mmengine - INFO - Epoch(train) [108][760/1879] lr: 1.0000e-03 eta: 22:04:27 time: 0.2823 data_time: 0.0231 memory: 8198 grad_norm: 5.5526 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.2725 loss: 1.2725 2022/08/03 06:37:42 - mmengine - INFO - Epoch(train) [108][780/1879] lr: 1.0000e-03 eta: 22:04:21 time: 0.2837 data_time: 0.0246 memory: 8198 grad_norm: 5.6487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3290 loss: 1.3290 2022/08/03 06:37:48 - mmengine - INFO - Epoch(train) [108][800/1879] lr: 1.0000e-03 eta: 22:04:16 time: 0.2892 data_time: 0.0232 memory: 8198 grad_norm: 5.5833 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2371 loss: 1.2371 2022/08/03 06:37:54 - mmengine - INFO - Epoch(train) [108][820/1879] lr: 1.0000e-03 eta: 22:04:10 time: 0.2814 data_time: 0.0231 memory: 8198 grad_norm: 5.6836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3050 loss: 1.3050 2022/08/03 06:37:59 - mmengine - INFO - Epoch(train) [108][840/1879] lr: 1.0000e-03 eta: 22:04:04 time: 0.2850 data_time: 0.0255 memory: 8198 grad_norm: 5.7260 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3531 loss: 1.3531 2022/08/03 06:38:05 - mmengine - INFO - Epoch(train) [108][860/1879] lr: 1.0000e-03 eta: 22:03:59 time: 0.2852 data_time: 0.0246 memory: 8198 grad_norm: 5.7208 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1488 loss: 1.1488 2022/08/03 06:38:11 - mmengine - INFO - Epoch(train) [108][880/1879] lr: 1.0000e-03 eta: 22:03:53 time: 0.3018 data_time: 0.0197 memory: 8198 grad_norm: 5.6535 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3870 loss: 1.3870 2022/08/03 06:38:17 - mmengine - INFO - Epoch(train) [108][900/1879] lr: 1.0000e-03 eta: 22:03:48 time: 0.2867 data_time: 0.0237 memory: 8198 grad_norm: 5.7306 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1875 loss: 1.1875 2022/08/03 06:38:23 - mmengine - INFO - Epoch(train) [108][920/1879] lr: 1.0000e-03 eta: 22:03:42 time: 0.2844 data_time: 0.0202 memory: 8198 grad_norm: 5.5318 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2189 loss: 1.2189 2022/08/03 06:38:28 - mmengine - INFO - Epoch(train) [108][940/1879] lr: 1.0000e-03 eta: 22:03:36 time: 0.2860 data_time: 0.0215 memory: 8198 grad_norm: 5.7588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/08/03 06:38:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:38:34 - mmengine - INFO - Epoch(train) [108][960/1879] lr: 1.0000e-03 eta: 22:03:31 time: 0.2806 data_time: 0.0245 memory: 8198 grad_norm: 5.6311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1374 loss: 1.1374 2022/08/03 06:38:40 - mmengine - INFO - Epoch(train) [108][980/1879] lr: 1.0000e-03 eta: 22:03:25 time: 0.2808 data_time: 0.0190 memory: 8198 grad_norm: 5.6360 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3031 loss: 1.3031 2022/08/03 06:38:45 - mmengine - INFO - Epoch(train) [108][1000/1879] lr: 1.0000e-03 eta: 22:03:19 time: 0.2836 data_time: 0.0292 memory: 8198 grad_norm: 5.4885 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1681 loss: 1.1681 2022/08/03 06:38:51 - mmengine - INFO - Epoch(train) [108][1020/1879] lr: 1.0000e-03 eta: 22:03:13 time: 0.2864 data_time: 0.0239 memory: 8198 grad_norm: 5.6504 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1327 loss: 1.1327 2022/08/03 06:38:57 - mmengine - INFO - Epoch(train) [108][1040/1879] lr: 1.0000e-03 eta: 22:03:08 time: 0.2844 data_time: 0.0215 memory: 8198 grad_norm: 5.6968 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3198 loss: 1.3198 2022/08/03 06:39:03 - mmengine - INFO - Epoch(train) [108][1060/1879] lr: 1.0000e-03 eta: 22:03:02 time: 0.2838 data_time: 0.0253 memory: 8198 grad_norm: 5.4821 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/08/03 06:39:08 - mmengine - INFO - Epoch(train) [108][1080/1879] lr: 1.0000e-03 eta: 22:02:57 time: 0.2936 data_time: 0.0194 memory: 8198 grad_norm: 5.4349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0408 loss: 1.0408 2022/08/03 06:39:14 - mmengine - INFO - Epoch(train) [108][1100/1879] lr: 1.0000e-03 eta: 22:02:51 time: 0.2803 data_time: 0.0241 memory: 8198 grad_norm: 5.7734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4489 loss: 1.4489 2022/08/03 06:39:20 - mmengine - INFO - Epoch(train) [108][1120/1879] lr: 1.0000e-03 eta: 22:02:45 time: 0.2847 data_time: 0.0255 memory: 8198 grad_norm: 5.7023 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2054 loss: 1.2054 2022/08/03 06:39:25 - mmengine - INFO - Epoch(train) [108][1140/1879] lr: 1.0000e-03 eta: 22:02:39 time: 0.2835 data_time: 0.0262 memory: 8198 grad_norm: 5.7388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2004 loss: 1.2004 2022/08/03 06:39:31 - mmengine - INFO - Epoch(train) [108][1160/1879] lr: 1.0000e-03 eta: 22:02:34 time: 0.2932 data_time: 0.0219 memory: 8198 grad_norm: 5.4461 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2059 loss: 1.2059 2022/08/03 06:39:37 - mmengine - INFO - Epoch(train) [108][1180/1879] lr: 1.0000e-03 eta: 22:02:28 time: 0.2822 data_time: 0.0259 memory: 8198 grad_norm: 5.5401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3195 loss: 1.3195 2022/08/03 06:39:43 - mmengine - INFO - Epoch(train) [108][1200/1879] lr: 1.0000e-03 eta: 22:02:22 time: 0.2832 data_time: 0.0237 memory: 8198 grad_norm: 5.5832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2354 loss: 1.2354 2022/08/03 06:39:48 - mmengine - INFO - Epoch(train) [108][1220/1879] lr: 1.0000e-03 eta: 22:02:17 time: 0.2861 data_time: 0.0257 memory: 8198 grad_norm: 5.7672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1703 loss: 1.1703 2022/08/03 06:39:54 - mmengine - INFO - Epoch(train) [108][1240/1879] lr: 1.0000e-03 eta: 22:02:11 time: 0.2888 data_time: 0.0241 memory: 8198 grad_norm: 5.7077 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2242 loss: 1.2242 2022/08/03 06:40:00 - mmengine - INFO - Epoch(train) [108][1260/1879] lr: 1.0000e-03 eta: 22:02:06 time: 0.2862 data_time: 0.0238 memory: 8198 grad_norm: 5.6653 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0203 loss: 1.0203 2022/08/03 06:40:06 - mmengine - INFO - Epoch(train) [108][1280/1879] lr: 1.0000e-03 eta: 22:02:00 time: 0.2829 data_time: 0.0245 memory: 8198 grad_norm: 5.6130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3195 loss: 1.3195 2022/08/03 06:40:11 - mmengine - INFO - Epoch(train) [108][1300/1879] lr: 1.0000e-03 eta: 22:01:54 time: 0.2849 data_time: 0.0209 memory: 8198 grad_norm: 5.7165 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2985 loss: 1.2985 2022/08/03 06:40:17 - mmengine - INFO - Epoch(train) [108][1320/1879] lr: 1.0000e-03 eta: 22:01:48 time: 0.2825 data_time: 0.0205 memory: 8198 grad_norm: 5.5423 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0710 loss: 1.0710 2022/08/03 06:40:23 - mmengine - INFO - Epoch(train) [108][1340/1879] lr: 1.0000e-03 eta: 22:01:43 time: 0.2831 data_time: 0.0223 memory: 8198 grad_norm: 5.6118 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2084 loss: 1.2084 2022/08/03 06:40:28 - mmengine - INFO - Epoch(train) [108][1360/1879] lr: 1.0000e-03 eta: 22:01:37 time: 0.2870 data_time: 0.0209 memory: 8198 grad_norm: 5.5423 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2565 loss: 1.2565 2022/08/03 06:40:34 - mmengine - INFO - Epoch(train) [108][1380/1879] lr: 1.0000e-03 eta: 22:01:31 time: 0.2827 data_time: 0.0212 memory: 8198 grad_norm: 5.6993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/08/03 06:40:40 - mmengine - INFO - Epoch(train) [108][1400/1879] lr: 1.0000e-03 eta: 22:01:26 time: 0.2822 data_time: 0.0213 memory: 8198 grad_norm: 5.7089 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2574 loss: 1.2574 2022/08/03 06:40:45 - mmengine - INFO - Epoch(train) [108][1420/1879] lr: 1.0000e-03 eta: 22:01:20 time: 0.2827 data_time: 0.0190 memory: 8198 grad_norm: 5.5952 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1246 loss: 1.1246 2022/08/03 06:40:51 - mmengine - INFO - Epoch(train) [108][1440/1879] lr: 1.0000e-03 eta: 22:01:14 time: 0.2908 data_time: 0.0195 memory: 8198 grad_norm: 5.8152 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2991 loss: 1.2991 2022/08/03 06:40:57 - mmengine - INFO - Epoch(train) [108][1460/1879] lr: 1.0000e-03 eta: 22:01:09 time: 0.2910 data_time: 0.0216 memory: 8198 grad_norm: 5.7077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2039 loss: 1.2039 2022/08/03 06:41:03 - mmengine - INFO - Epoch(train) [108][1480/1879] lr: 1.0000e-03 eta: 22:01:03 time: 0.2810 data_time: 0.0214 memory: 8198 grad_norm: 5.4608 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3565 loss: 1.3565 2022/08/03 06:41:08 - mmengine - INFO - Epoch(train) [108][1500/1879] lr: 1.0000e-03 eta: 22:00:57 time: 0.2844 data_time: 0.0199 memory: 8198 grad_norm: 5.6369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/08/03 06:41:14 - mmengine - INFO - Epoch(train) [108][1520/1879] lr: 1.0000e-03 eta: 22:00:51 time: 0.2811 data_time: 0.0228 memory: 8198 grad_norm: 5.5369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/08/03 06:41:20 - mmengine - INFO - Epoch(train) [108][1540/1879] lr: 1.0000e-03 eta: 22:00:46 time: 0.3006 data_time: 0.0243 memory: 8198 grad_norm: 5.6288 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2725 loss: 1.2725 2022/08/03 06:41:26 - mmengine - INFO - Epoch(train) [108][1560/1879] lr: 1.0000e-03 eta: 22:00:40 time: 0.2797 data_time: 0.0221 memory: 8198 grad_norm: 5.7657 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2977 loss: 1.2977 2022/08/03 06:41:31 - mmengine - INFO - Epoch(train) [108][1580/1879] lr: 1.0000e-03 eta: 22:00:35 time: 0.2838 data_time: 0.0192 memory: 8198 grad_norm: 5.8011 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2725 loss: 1.2725 2022/08/03 06:41:37 - mmengine - INFO - Epoch(train) [108][1600/1879] lr: 1.0000e-03 eta: 22:00:29 time: 0.3021 data_time: 0.0341 memory: 8198 grad_norm: 5.6823 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/08/03 06:41:43 - mmengine - INFO - Epoch(train) [108][1620/1879] lr: 1.0000e-03 eta: 22:00:24 time: 0.2821 data_time: 0.0217 memory: 8198 grad_norm: 5.6371 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3393 loss: 1.3393 2022/08/03 06:41:49 - mmengine - INFO - Epoch(train) [108][1640/1879] lr: 1.0000e-03 eta: 22:00:18 time: 0.2858 data_time: 0.0261 memory: 8198 grad_norm: 5.7076 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2034 loss: 1.2034 2022/08/03 06:41:55 - mmengine - INFO - Epoch(train) [108][1660/1879] lr: 1.0000e-03 eta: 22:00:12 time: 0.2833 data_time: 0.0194 memory: 8198 grad_norm: 5.6329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2898 loss: 1.2898 2022/08/03 06:42:00 - mmengine - INFO - Epoch(train) [108][1680/1879] lr: 1.0000e-03 eta: 22:00:07 time: 0.2845 data_time: 0.0234 memory: 8198 grad_norm: 5.5788 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1614 loss: 1.1614 2022/08/03 06:42:06 - mmengine - INFO - Epoch(train) [108][1700/1879] lr: 1.0000e-03 eta: 22:00:01 time: 0.2834 data_time: 0.0251 memory: 8198 grad_norm: 5.6855 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1806 loss: 1.1806 2022/08/03 06:42:12 - mmengine - INFO - Epoch(train) [108][1720/1879] lr: 1.0000e-03 eta: 21:59:55 time: 0.2868 data_time: 0.0203 memory: 8198 grad_norm: 5.6854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0802 loss: 1.0802 2022/08/03 06:42:17 - mmengine - INFO - Epoch(train) [108][1740/1879] lr: 1.0000e-03 eta: 21:59:50 time: 0.2864 data_time: 0.0281 memory: 8198 grad_norm: 5.7113 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1579 loss: 1.1579 2022/08/03 06:42:23 - mmengine - INFO - Epoch(train) [108][1760/1879] lr: 1.0000e-03 eta: 21:59:44 time: 0.2850 data_time: 0.0225 memory: 8198 grad_norm: 5.9494 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1719 loss: 1.1719 2022/08/03 06:42:29 - mmengine - INFO - Epoch(train) [108][1780/1879] lr: 1.0000e-03 eta: 21:59:38 time: 0.2860 data_time: 0.0220 memory: 8198 grad_norm: 5.7334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2772 loss: 1.2772 2022/08/03 06:42:35 - mmengine - INFO - Epoch(train) [108][1800/1879] lr: 1.0000e-03 eta: 21:59:33 time: 0.2831 data_time: 0.0204 memory: 8198 grad_norm: 5.5831 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3652 loss: 1.3652 2022/08/03 06:42:40 - mmengine - INFO - Epoch(train) [108][1820/1879] lr: 1.0000e-03 eta: 21:59:27 time: 0.2844 data_time: 0.0224 memory: 8198 grad_norm: 5.5664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2321 loss: 1.2321 2022/08/03 06:42:46 - mmengine - INFO - Epoch(train) [108][1840/1879] lr: 1.0000e-03 eta: 21:59:21 time: 0.2830 data_time: 0.0212 memory: 8198 grad_norm: 5.6008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/08/03 06:42:52 - mmengine - INFO - Epoch(train) [108][1860/1879] lr: 1.0000e-03 eta: 21:59:15 time: 0.2862 data_time: 0.0236 memory: 8198 grad_norm: 5.6575 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2122 loss: 1.2122 2022/08/03 06:42:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:42:56 - mmengine - INFO - Epoch(train) [108][1879/1879] lr: 1.0000e-03 eta: 21:59:15 time: 0.2548 data_time: 0.0157 memory: 8198 grad_norm: 5.8773 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5095 loss: 1.5095 2022/08/03 06:42:57 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/08/03 06:43:06 - mmengine - INFO - Epoch(train) [109][20/1879] lr: 1.0000e-03 eta: 21:59:00 time: 0.3797 data_time: 0.1207 memory: 8198 grad_norm: 5.8927 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1828 loss: 1.1828 2022/08/03 06:43:12 - mmengine - INFO - Epoch(train) [109][40/1879] lr: 1.0000e-03 eta: 21:58:54 time: 0.2892 data_time: 0.0172 memory: 8198 grad_norm: 5.5108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0992 loss: 1.0992 2022/08/03 06:43:18 - mmengine - INFO - Epoch(train) [109][60/1879] lr: 1.0000e-03 eta: 21:58:48 time: 0.2911 data_time: 0.0241 memory: 8198 grad_norm: 5.6233 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1940 loss: 1.1940 2022/08/03 06:43:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:43:24 - mmengine - INFO - Epoch(train) [109][80/1879] lr: 1.0000e-03 eta: 21:58:43 time: 0.2852 data_time: 0.0158 memory: 8198 grad_norm: 5.5994 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3347 loss: 1.3347 2022/08/03 06:43:29 - mmengine - INFO - Epoch(train) [109][100/1879] lr: 1.0000e-03 eta: 21:58:37 time: 0.2863 data_time: 0.0204 memory: 8198 grad_norm: 5.6994 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0457 loss: 1.0457 2022/08/03 06:43:35 - mmengine - INFO - Epoch(train) [109][120/1879] lr: 1.0000e-03 eta: 21:58:31 time: 0.2839 data_time: 0.0199 memory: 8198 grad_norm: 5.5706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0577 loss: 1.0577 2022/08/03 06:43:41 - mmengine - INFO - Epoch(train) [109][140/1879] lr: 1.0000e-03 eta: 21:58:26 time: 0.2857 data_time: 0.0203 memory: 8198 grad_norm: 5.5254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0336 loss: 1.0336 2022/08/03 06:43:46 - mmengine - INFO - Epoch(train) [109][160/1879] lr: 1.0000e-03 eta: 21:58:20 time: 0.2818 data_time: 0.0198 memory: 8198 grad_norm: 5.5974 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.1805 loss: 1.1805 2022/08/03 06:43:52 - mmengine - INFO - Epoch(train) [109][180/1879] lr: 1.0000e-03 eta: 21:58:14 time: 0.2866 data_time: 0.0231 memory: 8198 grad_norm: 5.5679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1958 loss: 1.1958 2022/08/03 06:43:58 - mmengine - INFO - Epoch(train) [109][200/1879] lr: 1.0000e-03 eta: 21:58:09 time: 0.2863 data_time: 0.0257 memory: 8198 grad_norm: 5.6858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2722 loss: 1.2722 2022/08/03 06:44:04 - mmengine - INFO - Epoch(train) [109][220/1879] lr: 1.0000e-03 eta: 21:58:03 time: 0.2831 data_time: 0.0276 memory: 8198 grad_norm: 5.8573 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2568 loss: 1.2568 2022/08/03 06:44:10 - mmengine - INFO - Epoch(train) [109][240/1879] lr: 1.0000e-03 eta: 21:57:57 time: 0.2902 data_time: 0.0267 memory: 8198 grad_norm: 5.7399 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/08/03 06:44:15 - mmengine - INFO - Epoch(train) [109][260/1879] lr: 1.0000e-03 eta: 21:57:52 time: 0.2877 data_time: 0.0262 memory: 8198 grad_norm: 5.7208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/08/03 06:44:21 - mmengine - INFO - Epoch(train) [109][280/1879] lr: 1.0000e-03 eta: 21:57:46 time: 0.2814 data_time: 0.0216 memory: 8198 grad_norm: 5.6764 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1278 loss: 1.1278 2022/08/03 06:44:27 - mmengine - INFO - Epoch(train) [109][300/1879] lr: 1.0000e-03 eta: 21:57:41 time: 0.2949 data_time: 0.0257 memory: 8198 grad_norm: 5.6554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8838 loss: 0.8838 2022/08/03 06:44:32 - mmengine - INFO - Epoch(train) [109][320/1879] lr: 1.0000e-03 eta: 21:57:35 time: 0.2815 data_time: 0.0195 memory: 8198 grad_norm: 5.8406 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2710 loss: 1.2710 2022/08/03 06:44:38 - mmengine - INFO - Epoch(train) [109][340/1879] lr: 1.0000e-03 eta: 21:57:29 time: 0.2890 data_time: 0.0240 memory: 8198 grad_norm: 5.6788 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1421 loss: 1.1421 2022/08/03 06:44:44 - mmengine - INFO - Epoch(train) [109][360/1879] lr: 1.0000e-03 eta: 21:57:23 time: 0.2804 data_time: 0.0240 memory: 8198 grad_norm: 5.6575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/08/03 06:44:50 - mmengine - INFO - Epoch(train) [109][380/1879] lr: 1.0000e-03 eta: 21:57:18 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 5.6596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/08/03 06:44:55 - mmengine - INFO - Epoch(train) [109][400/1879] lr: 1.0000e-03 eta: 21:57:12 time: 0.2824 data_time: 0.0231 memory: 8198 grad_norm: 5.8768 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/08/03 06:45:01 - mmengine - INFO - Epoch(train) [109][420/1879] lr: 1.0000e-03 eta: 21:57:06 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 5.7399 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2050 loss: 1.2050 2022/08/03 06:45:07 - mmengine - INFO - Epoch(train) [109][440/1879] lr: 1.0000e-03 eta: 21:57:01 time: 0.2862 data_time: 0.0292 memory: 8198 grad_norm: 5.5041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/08/03 06:45:12 - mmengine - INFO - Epoch(train) [109][460/1879] lr: 1.0000e-03 eta: 21:56:55 time: 0.2847 data_time: 0.0225 memory: 8198 grad_norm: 5.8251 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1436 loss: 1.1436 2022/08/03 06:45:18 - mmengine - INFO - Epoch(train) [109][480/1879] lr: 1.0000e-03 eta: 21:56:49 time: 0.2863 data_time: 0.0228 memory: 8198 grad_norm: 5.6654 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/08/03 06:45:24 - mmengine - INFO - Epoch(train) [109][500/1879] lr: 1.0000e-03 eta: 21:56:44 time: 0.2877 data_time: 0.0284 memory: 8198 grad_norm: 5.6584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2504 loss: 1.2504 2022/08/03 06:45:30 - mmengine - INFO - Epoch(train) [109][520/1879] lr: 1.0000e-03 eta: 21:56:38 time: 0.2826 data_time: 0.0257 memory: 8198 grad_norm: 5.8538 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2364 loss: 1.2364 2022/08/03 06:45:35 - mmengine - INFO - Epoch(train) [109][540/1879] lr: 1.0000e-03 eta: 21:56:32 time: 0.2832 data_time: 0.0269 memory: 8198 grad_norm: 5.5399 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3290 loss: 1.3290 2022/08/03 06:45:41 - mmengine - INFO - Epoch(train) [109][560/1879] lr: 1.0000e-03 eta: 21:56:27 time: 0.2852 data_time: 0.0197 memory: 8198 grad_norm: 5.8866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/08/03 06:45:47 - mmengine - INFO - Epoch(train) [109][580/1879] lr: 1.0000e-03 eta: 21:56:21 time: 0.2836 data_time: 0.0189 memory: 8198 grad_norm: 5.4641 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/08/03 06:45:52 - mmengine - INFO - Epoch(train) [109][600/1879] lr: 1.0000e-03 eta: 21:56:15 time: 0.2835 data_time: 0.0212 memory: 8198 grad_norm: 5.6387 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1776 loss: 1.1776 2022/08/03 06:45:58 - mmengine - INFO - Epoch(train) [109][620/1879] lr: 1.0000e-03 eta: 21:56:10 time: 0.2881 data_time: 0.0232 memory: 8198 grad_norm: 5.7120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3786 loss: 1.3786 2022/08/03 06:46:04 - mmengine - INFO - Epoch(train) [109][640/1879] lr: 1.0000e-03 eta: 21:56:04 time: 0.2809 data_time: 0.0217 memory: 8198 grad_norm: 5.5561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1907 loss: 1.1907 2022/08/03 06:46:09 - mmengine - INFO - Epoch(train) [109][660/1879] lr: 1.0000e-03 eta: 21:55:58 time: 0.2848 data_time: 0.0261 memory: 8198 grad_norm: 5.6908 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4019 loss: 1.4019 2022/08/03 06:46:15 - mmengine - INFO - Epoch(train) [109][680/1879] lr: 1.0000e-03 eta: 21:55:52 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 5.5807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1047 loss: 1.1047 2022/08/03 06:46:21 - mmengine - INFO - Epoch(train) [109][700/1879] lr: 1.0000e-03 eta: 21:55:47 time: 0.2833 data_time: 0.0240 memory: 8198 grad_norm: 5.8263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1778 loss: 1.1778 2022/08/03 06:46:27 - mmengine - INFO - Epoch(train) [109][720/1879] lr: 1.0000e-03 eta: 21:55:41 time: 0.2884 data_time: 0.0255 memory: 8198 grad_norm: 5.6792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1190 loss: 1.1190 2022/08/03 06:46:32 - mmengine - INFO - Epoch(train) [109][740/1879] lr: 1.0000e-03 eta: 21:55:35 time: 0.2857 data_time: 0.0225 memory: 8198 grad_norm: 5.5809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2870 loss: 1.2870 2022/08/03 06:46:38 - mmengine - INFO - Epoch(train) [109][760/1879] lr: 1.0000e-03 eta: 21:55:30 time: 0.2844 data_time: 0.0245 memory: 8198 grad_norm: 5.6051 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/08/03 06:46:44 - mmengine - INFO - Epoch(train) [109][780/1879] lr: 1.0000e-03 eta: 21:55:24 time: 0.2903 data_time: 0.0197 memory: 8198 grad_norm: 5.6926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2335 loss: 1.2335 2022/08/03 06:46:50 - mmengine - INFO - Epoch(train) [109][800/1879] lr: 1.0000e-03 eta: 21:55:18 time: 0.2834 data_time: 0.0190 memory: 8198 grad_norm: 5.6874 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1179 loss: 1.1179 2022/08/03 06:46:55 - mmengine - INFO - Epoch(train) [109][820/1879] lr: 1.0000e-03 eta: 21:55:13 time: 0.2836 data_time: 0.0229 memory: 8198 grad_norm: 5.6365 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.2037 loss: 1.2037 2022/08/03 06:47:01 - mmengine - INFO - Epoch(train) [109][840/1879] lr: 1.0000e-03 eta: 21:55:07 time: 0.3025 data_time: 0.0189 memory: 8198 grad_norm: 5.5815 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3430 loss: 1.3430 2022/08/03 06:47:07 - mmengine - INFO - Epoch(train) [109][860/1879] lr: 1.0000e-03 eta: 21:55:02 time: 0.2830 data_time: 0.0211 memory: 8198 grad_norm: 5.6499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3802 loss: 1.3802 2022/08/03 06:47:13 - mmengine - INFO - Epoch(train) [109][880/1879] lr: 1.0000e-03 eta: 21:54:56 time: 0.2805 data_time: 0.0202 memory: 8198 grad_norm: 5.6602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1549 loss: 1.1549 2022/08/03 06:47:19 - mmengine - INFO - Epoch(train) [109][900/1879] lr: 1.0000e-03 eta: 21:54:51 time: 0.3060 data_time: 0.0306 memory: 8198 grad_norm: 5.6956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1359 loss: 1.1359 2022/08/03 06:47:24 - mmengine - INFO - Epoch(train) [109][920/1879] lr: 1.0000e-03 eta: 21:54:45 time: 0.2797 data_time: 0.0217 memory: 8198 grad_norm: 5.6568 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4029 loss: 1.4029 2022/08/03 06:47:30 - mmengine - INFO - Epoch(train) [109][940/1879] lr: 1.0000e-03 eta: 21:54:39 time: 0.2848 data_time: 0.0229 memory: 8198 grad_norm: 5.6598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2256 loss: 1.2256 2022/08/03 06:47:36 - mmengine - INFO - Epoch(train) [109][960/1879] lr: 1.0000e-03 eta: 21:54:34 time: 0.2830 data_time: 0.0196 memory: 8198 grad_norm: 5.7379 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2351 loss: 1.2351 2022/08/03 06:47:42 - mmengine - INFO - Epoch(train) [109][980/1879] lr: 1.0000e-03 eta: 21:54:28 time: 0.2877 data_time: 0.0201 memory: 8198 grad_norm: 5.8628 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2103 loss: 1.2103 2022/08/03 06:47:47 - mmengine - INFO - Epoch(train) [109][1000/1879] lr: 1.0000e-03 eta: 21:54:22 time: 0.2849 data_time: 0.0238 memory: 8198 grad_norm: 5.5062 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3166 loss: 1.3166 2022/08/03 06:47:53 - mmengine - INFO - Epoch(train) [109][1020/1879] lr: 1.0000e-03 eta: 21:54:17 time: 0.2830 data_time: 0.0245 memory: 8198 grad_norm: 5.6228 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1790 loss: 1.1790 2022/08/03 06:47:59 - mmengine - INFO - Epoch(train) [109][1040/1879] lr: 1.0000e-03 eta: 21:54:11 time: 0.2896 data_time: 0.0270 memory: 8198 grad_norm: 5.5985 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1541 loss: 1.1541 2022/08/03 06:48:04 - mmengine - INFO - Epoch(train) [109][1060/1879] lr: 1.0000e-03 eta: 21:54:05 time: 0.2836 data_time: 0.0229 memory: 8198 grad_norm: 5.7578 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1699 loss: 1.1699 2022/08/03 06:48:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:48:10 - mmengine - INFO - Epoch(train) [109][1080/1879] lr: 1.0000e-03 eta: 21:54:00 time: 0.2862 data_time: 0.0218 memory: 8198 grad_norm: 5.6532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/08/03 06:48:16 - mmengine - INFO - Epoch(train) [109][1100/1879] lr: 1.0000e-03 eta: 21:53:54 time: 0.2852 data_time: 0.0222 memory: 8198 grad_norm: 5.6289 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1306 loss: 1.1306 2022/08/03 06:48:22 - mmengine - INFO - Epoch(train) [109][1120/1879] lr: 1.0000e-03 eta: 21:53:48 time: 0.2842 data_time: 0.0224 memory: 8198 grad_norm: 5.7590 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1760 loss: 1.1760 2022/08/03 06:48:27 - mmengine - INFO - Epoch(train) [109][1140/1879] lr: 1.0000e-03 eta: 21:53:43 time: 0.2841 data_time: 0.0215 memory: 8198 grad_norm: 5.8369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/08/03 06:48:33 - mmengine - INFO - Epoch(train) [109][1160/1879] lr: 1.0000e-03 eta: 21:53:37 time: 0.2825 data_time: 0.0209 memory: 8198 grad_norm: 5.8766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2353 loss: 1.2353 2022/08/03 06:48:39 - mmengine - INFO - Epoch(train) [109][1180/1879] lr: 1.0000e-03 eta: 21:53:31 time: 0.2854 data_time: 0.0270 memory: 8198 grad_norm: 5.7386 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0860 loss: 1.0860 2022/08/03 06:48:44 - mmengine - INFO - Epoch(train) [109][1200/1879] lr: 1.0000e-03 eta: 21:53:25 time: 0.2833 data_time: 0.0185 memory: 8198 grad_norm: 5.9064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2768 loss: 1.2768 2022/08/03 06:48:50 - mmengine - INFO - Epoch(train) [109][1220/1879] lr: 1.0000e-03 eta: 21:53:20 time: 0.2862 data_time: 0.0253 memory: 8198 grad_norm: 5.7087 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1110 loss: 1.1110 2022/08/03 06:48:56 - mmengine - INFO - Epoch(train) [109][1240/1879] lr: 1.0000e-03 eta: 21:53:14 time: 0.2823 data_time: 0.0200 memory: 8198 grad_norm: 5.6210 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3106 loss: 1.3106 2022/08/03 06:49:02 - mmengine - INFO - Epoch(train) [109][1260/1879] lr: 1.0000e-03 eta: 21:53:09 time: 0.2961 data_time: 0.0247 memory: 8198 grad_norm: 5.8287 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2285 loss: 1.2285 2022/08/03 06:49:07 - mmengine - INFO - Epoch(train) [109][1280/1879] lr: 1.0000e-03 eta: 21:53:03 time: 0.2843 data_time: 0.0146 memory: 8198 grad_norm: 5.5835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0579 loss: 1.0579 2022/08/03 06:49:13 - mmengine - INFO - Epoch(train) [109][1300/1879] lr: 1.0000e-03 eta: 21:52:57 time: 0.2909 data_time: 0.0221 memory: 8198 grad_norm: 5.6508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2953 loss: 1.2953 2022/08/03 06:49:19 - mmengine - INFO - Epoch(train) [109][1320/1879] lr: 1.0000e-03 eta: 21:52:52 time: 0.2857 data_time: 0.0277 memory: 8198 grad_norm: 5.7067 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2603 loss: 1.2603 2022/08/03 06:49:25 - mmengine - INFO - Epoch(train) [109][1340/1879] lr: 1.0000e-03 eta: 21:52:46 time: 0.2833 data_time: 0.0236 memory: 8198 grad_norm: 5.5716 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2175 loss: 1.2175 2022/08/03 06:49:30 - mmengine - INFO - Epoch(train) [109][1360/1879] lr: 1.0000e-03 eta: 21:52:40 time: 0.2842 data_time: 0.0214 memory: 8198 grad_norm: 5.7064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3424 loss: 1.3424 2022/08/03 06:49:36 - mmengine - INFO - Epoch(train) [109][1380/1879] lr: 1.0000e-03 eta: 21:52:35 time: 0.2878 data_time: 0.0225 memory: 8198 grad_norm: 5.7675 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3867 loss: 1.3867 2022/08/03 06:49:42 - mmengine - INFO - Epoch(train) [109][1400/1879] lr: 1.0000e-03 eta: 21:52:29 time: 0.2916 data_time: 0.0202 memory: 8198 grad_norm: 5.7670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3777 loss: 1.3777 2022/08/03 06:49:48 - mmengine - INFO - Epoch(train) [109][1420/1879] lr: 1.0000e-03 eta: 21:52:23 time: 0.2822 data_time: 0.0214 memory: 8198 grad_norm: 5.5450 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3902 loss: 1.3902 2022/08/03 06:49:53 - mmengine - INFO - Epoch(train) [109][1440/1879] lr: 1.0000e-03 eta: 21:52:18 time: 0.2881 data_time: 0.0226 memory: 8198 grad_norm: 5.7411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3160 loss: 1.3160 2022/08/03 06:49:59 - mmengine - INFO - Epoch(train) [109][1460/1879] lr: 1.0000e-03 eta: 21:52:12 time: 0.2852 data_time: 0.0218 memory: 8198 grad_norm: 5.6429 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1676 loss: 1.1676 2022/08/03 06:50:05 - mmengine - INFO - Epoch(train) [109][1480/1879] lr: 1.0000e-03 eta: 21:52:06 time: 0.2853 data_time: 0.0178 memory: 8198 grad_norm: 5.6977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/08/03 06:50:11 - mmengine - INFO - Epoch(train) [109][1500/1879] lr: 1.0000e-03 eta: 21:52:01 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 5.5749 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1517 loss: 1.1517 2022/08/03 06:50:16 - mmengine - INFO - Epoch(train) [109][1520/1879] lr: 1.0000e-03 eta: 21:51:55 time: 0.2832 data_time: 0.0213 memory: 8198 grad_norm: 5.6778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/08/03 06:50:22 - mmengine - INFO - Epoch(train) [109][1540/1879] lr: 1.0000e-03 eta: 21:51:49 time: 0.2852 data_time: 0.0211 memory: 8198 grad_norm: 5.5243 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1663 loss: 1.1663 2022/08/03 06:50:28 - mmengine - INFO - Epoch(train) [109][1560/1879] lr: 1.0000e-03 eta: 21:51:44 time: 0.2946 data_time: 0.0201 memory: 8198 grad_norm: 5.7601 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2225 loss: 1.2225 2022/08/03 06:50:34 - mmengine - INFO - Epoch(train) [109][1580/1879] lr: 1.0000e-03 eta: 21:51:38 time: 0.2855 data_time: 0.0263 memory: 8198 grad_norm: 5.4561 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1591 loss: 1.1591 2022/08/03 06:50:39 - mmengine - INFO - Epoch(train) [109][1600/1879] lr: 1.0000e-03 eta: 21:51:33 time: 0.2895 data_time: 0.0213 memory: 8198 grad_norm: 5.8850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1653 loss: 1.1653 2022/08/03 06:50:45 - mmengine - INFO - Epoch(train) [109][1620/1879] lr: 1.0000e-03 eta: 21:51:27 time: 0.2812 data_time: 0.0207 memory: 8198 grad_norm: 5.7881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1866 loss: 1.1866 2022/08/03 06:50:51 - mmengine - INFO - Epoch(train) [109][1640/1879] lr: 1.0000e-03 eta: 21:51:21 time: 0.2864 data_time: 0.0277 memory: 8198 grad_norm: 5.7276 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4537 loss: 1.4537 2022/08/03 06:50:56 - mmengine - INFO - Epoch(train) [109][1660/1879] lr: 1.0000e-03 eta: 21:51:16 time: 0.2816 data_time: 0.0204 memory: 8198 grad_norm: 5.7888 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2374 loss: 1.2374 2022/08/03 06:51:02 - mmengine - INFO - Epoch(train) [109][1680/1879] lr: 1.0000e-03 eta: 21:51:10 time: 0.2875 data_time: 0.0221 memory: 8198 grad_norm: 5.6454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2696 loss: 1.2696 2022/08/03 06:51:08 - mmengine - INFO - Epoch(train) [109][1700/1879] lr: 1.0000e-03 eta: 21:51:05 time: 0.2941 data_time: 0.0253 memory: 8198 grad_norm: 5.6696 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1713 loss: 1.1713 2022/08/03 06:51:14 - mmengine - INFO - Epoch(train) [109][1720/1879] lr: 1.0000e-03 eta: 21:50:59 time: 0.2818 data_time: 0.0245 memory: 8198 grad_norm: 5.6840 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2100 loss: 1.2100 2022/08/03 06:51:20 - mmengine - INFO - Epoch(train) [109][1740/1879] lr: 1.0000e-03 eta: 21:50:53 time: 0.2865 data_time: 0.0210 memory: 8198 grad_norm: 5.6758 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1161 loss: 1.1161 2022/08/03 06:51:25 - mmengine - INFO - Epoch(train) [109][1760/1879] lr: 1.0000e-03 eta: 21:50:47 time: 0.2820 data_time: 0.0229 memory: 8198 grad_norm: 5.6546 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2251 loss: 1.2251 2022/08/03 06:51:31 - mmengine - INFO - Epoch(train) [109][1780/1879] lr: 1.0000e-03 eta: 21:50:42 time: 0.2816 data_time: 0.0250 memory: 8198 grad_norm: 5.7179 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1615 loss: 1.1615 2022/08/03 06:51:36 - mmengine - INFO - Epoch(train) [109][1800/1879] lr: 1.0000e-03 eta: 21:50:36 time: 0.2810 data_time: 0.0182 memory: 8198 grad_norm: 5.6972 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2855 loss: 1.2855 2022/08/03 06:51:42 - mmengine - INFO - Epoch(train) [109][1820/1879] lr: 1.0000e-03 eta: 21:50:30 time: 0.2847 data_time: 0.0270 memory: 8198 grad_norm: 5.9179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2750 loss: 1.2750 2022/08/03 06:51:48 - mmengine - INFO - Epoch(train) [109][1840/1879] lr: 1.0000e-03 eta: 21:50:24 time: 0.2848 data_time: 0.0259 memory: 8198 grad_norm: 5.8521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3049 loss: 1.3049 2022/08/03 06:51:54 - mmengine - INFO - Epoch(train) [109][1860/1879] lr: 1.0000e-03 eta: 21:50:19 time: 0.2842 data_time: 0.0271 memory: 8198 grad_norm: 5.6609 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3417 loss: 1.3417 2022/08/03 06:51:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:51:58 - mmengine - INFO - Epoch(train) [109][1879/1879] lr: 1.0000e-03 eta: 21:50:19 time: 0.2565 data_time: 0.0142 memory: 8198 grad_norm: 5.7326 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2781 loss: 1.2781 2022/08/03 06:52:07 - mmengine - INFO - Epoch(train) [110][20/1879] lr: 1.0000e-03 eta: 21:50:04 time: 0.4266 data_time: 0.1036 memory: 8198 grad_norm: 5.5181 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/08/03 06:52:13 - mmengine - INFO - Epoch(train) [110][40/1879] lr: 1.0000e-03 eta: 21:49:59 time: 0.2998 data_time: 0.0189 memory: 8198 grad_norm: 5.6857 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2636 loss: 1.2636 2022/08/03 06:52:19 - mmengine - INFO - Epoch(train) [110][60/1879] lr: 1.0000e-03 eta: 21:49:53 time: 0.2920 data_time: 0.0216 memory: 8198 grad_norm: 5.6727 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5010 loss: 1.5010 2022/08/03 06:52:25 - mmengine - INFO - Epoch(train) [110][80/1879] lr: 1.0000e-03 eta: 21:49:48 time: 0.2864 data_time: 0.0242 memory: 8198 grad_norm: 5.6810 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2579 loss: 1.2579 2022/08/03 06:52:30 - mmengine - INFO - Epoch(train) [110][100/1879] lr: 1.0000e-03 eta: 21:49:42 time: 0.2828 data_time: 0.0199 memory: 8198 grad_norm: 5.8767 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1599 loss: 1.1599 2022/08/03 06:52:36 - mmengine - INFO - Epoch(train) [110][120/1879] lr: 1.0000e-03 eta: 21:49:36 time: 0.2820 data_time: 0.0217 memory: 8198 grad_norm: 5.6816 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2239 loss: 1.2239 2022/08/03 06:52:42 - mmengine - INFO - Epoch(train) [110][140/1879] lr: 1.0000e-03 eta: 21:49:31 time: 0.2921 data_time: 0.0231 memory: 8198 grad_norm: 5.5662 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2063 loss: 1.2063 2022/08/03 06:52:48 - mmengine - INFO - Epoch(train) [110][160/1879] lr: 1.0000e-03 eta: 21:49:25 time: 0.2827 data_time: 0.0252 memory: 8198 grad_norm: 5.6481 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0515 loss: 1.0515 2022/08/03 06:52:53 - mmengine - INFO - Epoch(train) [110][180/1879] lr: 1.0000e-03 eta: 21:49:19 time: 0.2866 data_time: 0.0264 memory: 8198 grad_norm: 5.6773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2021 loss: 1.2021 2022/08/03 06:52:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:52:59 - mmengine - INFO - Epoch(train) [110][200/1879] lr: 1.0000e-03 eta: 21:49:14 time: 0.2849 data_time: 0.0217 memory: 8198 grad_norm: 5.7598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1440 loss: 1.1440 2022/08/03 06:53:05 - mmengine - INFO - Epoch(train) [110][220/1879] lr: 1.0000e-03 eta: 21:49:08 time: 0.2831 data_time: 0.0273 memory: 8198 grad_norm: 5.8607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2519 loss: 1.2519 2022/08/03 06:53:10 - mmengine - INFO - Epoch(train) [110][240/1879] lr: 1.0000e-03 eta: 21:49:02 time: 0.2807 data_time: 0.0193 memory: 8198 grad_norm: 5.6385 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2998 loss: 1.2998 2022/08/03 06:53:16 - mmengine - INFO - Epoch(train) [110][260/1879] lr: 1.0000e-03 eta: 21:48:56 time: 0.2842 data_time: 0.0194 memory: 8198 grad_norm: 5.7612 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3922 loss: 1.3922 2022/08/03 06:53:22 - mmengine - INFO - Epoch(train) [110][280/1879] lr: 1.0000e-03 eta: 21:48:51 time: 0.2852 data_time: 0.0199 memory: 8198 grad_norm: 5.6880 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1313 loss: 1.1313 2022/08/03 06:53:27 - mmengine - INFO - Epoch(train) [110][300/1879] lr: 1.0000e-03 eta: 21:48:45 time: 0.2864 data_time: 0.0260 memory: 8198 grad_norm: 5.6376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1006 loss: 1.1006 2022/08/03 06:53:33 - mmengine - INFO - Epoch(train) [110][320/1879] lr: 1.0000e-03 eta: 21:48:39 time: 0.2810 data_time: 0.0188 memory: 8198 grad_norm: 5.8492 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2565 loss: 1.2565 2022/08/03 06:53:39 - mmengine - INFO - Epoch(train) [110][340/1879] lr: 1.0000e-03 eta: 21:48:34 time: 0.2918 data_time: 0.0261 memory: 8198 grad_norm: 5.8260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2693 loss: 1.2693 2022/08/03 06:53:45 - mmengine - INFO - Epoch(train) [110][360/1879] lr: 1.0000e-03 eta: 21:48:28 time: 0.2838 data_time: 0.0194 memory: 8198 grad_norm: 5.6428 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2376 loss: 1.2376 2022/08/03 06:53:50 - mmengine - INFO - Epoch(train) [110][380/1879] lr: 1.0000e-03 eta: 21:48:22 time: 0.2845 data_time: 0.0212 memory: 8198 grad_norm: 5.5387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2473 loss: 1.2473 2022/08/03 06:53:56 - mmengine - INFO - Epoch(train) [110][400/1879] lr: 1.0000e-03 eta: 21:48:17 time: 0.2814 data_time: 0.0220 memory: 8198 grad_norm: 5.7655 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/08/03 06:54:02 - mmengine - INFO - Epoch(train) [110][420/1879] lr: 1.0000e-03 eta: 21:48:11 time: 0.2861 data_time: 0.0238 memory: 8198 grad_norm: 5.6803 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0818 loss: 1.0818 2022/08/03 06:54:07 - mmengine - INFO - Epoch(train) [110][440/1879] lr: 1.0000e-03 eta: 21:48:05 time: 0.2816 data_time: 0.0214 memory: 8198 grad_norm: 5.7962 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1524 loss: 1.1524 2022/08/03 06:54:16 - mmengine - INFO - Epoch(train) [110][460/1879] lr: 1.0000e-03 eta: 21:48:03 time: 0.4178 data_time: 0.0199 memory: 8198 grad_norm: 5.4112 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1897 loss: 1.1897 2022/08/03 06:54:22 - mmengine - INFO - Epoch(train) [110][480/1879] lr: 1.0000e-03 eta: 21:47:57 time: 0.2875 data_time: 0.0204 memory: 8198 grad_norm: 5.5941 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2403 loss: 1.2403 2022/08/03 06:54:27 - mmengine - INFO - Epoch(train) [110][500/1879] lr: 1.0000e-03 eta: 21:47:52 time: 0.2843 data_time: 0.0250 memory: 8198 grad_norm: 5.6895 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1975 loss: 1.1975 2022/08/03 06:54:33 - mmengine - INFO - Epoch(train) [110][520/1879] lr: 1.0000e-03 eta: 21:47:46 time: 0.2866 data_time: 0.0229 memory: 8198 grad_norm: 5.8257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1920 loss: 1.1920 2022/08/03 06:54:39 - mmengine - INFO - Epoch(train) [110][540/1879] lr: 1.0000e-03 eta: 21:47:41 time: 0.2881 data_time: 0.0259 memory: 8198 grad_norm: 5.7584 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2729 loss: 1.2729 2022/08/03 06:54:45 - mmengine - INFO - Epoch(train) [110][560/1879] lr: 1.0000e-03 eta: 21:47:35 time: 0.2857 data_time: 0.0246 memory: 8198 grad_norm: 5.7096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/08/03 06:54:50 - mmengine - INFO - Epoch(train) [110][580/1879] lr: 1.0000e-03 eta: 21:47:29 time: 0.2866 data_time: 0.0276 memory: 8198 grad_norm: 5.6140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1816 loss: 1.1816 2022/08/03 06:54:56 - mmengine - INFO - Epoch(train) [110][600/1879] lr: 1.0000e-03 eta: 21:47:23 time: 0.2820 data_time: 0.0206 memory: 8198 grad_norm: 5.6246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3793 loss: 1.3793 2022/08/03 06:55:02 - mmengine - INFO - Epoch(train) [110][620/1879] lr: 1.0000e-03 eta: 21:47:18 time: 0.2844 data_time: 0.0244 memory: 8198 grad_norm: 5.6111 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0697 loss: 1.0697 2022/08/03 06:55:07 - mmengine - INFO - Epoch(train) [110][640/1879] lr: 1.0000e-03 eta: 21:47:12 time: 0.2869 data_time: 0.0222 memory: 8198 grad_norm: 5.5627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9790 loss: 0.9790 2022/08/03 06:55:13 - mmengine - INFO - Epoch(train) [110][660/1879] lr: 1.0000e-03 eta: 21:47:07 time: 0.2893 data_time: 0.0236 memory: 8198 grad_norm: 5.7375 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1094 loss: 1.1094 2022/08/03 06:55:19 - mmengine - INFO - Epoch(train) [110][680/1879] lr: 1.0000e-03 eta: 21:47:01 time: 0.2934 data_time: 0.0229 memory: 8198 grad_norm: 5.6384 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2850 loss: 1.2850 2022/08/03 06:55:25 - mmengine - INFO - Epoch(train) [110][700/1879] lr: 1.0000e-03 eta: 21:46:55 time: 0.2814 data_time: 0.0225 memory: 8198 grad_norm: 5.6676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2257 loss: 1.2257 2022/08/03 06:55:30 - mmengine - INFO - Epoch(train) [110][720/1879] lr: 1.0000e-03 eta: 21:46:50 time: 0.2859 data_time: 0.0224 memory: 8198 grad_norm: 5.6932 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1760 loss: 1.1760 2022/08/03 06:55:36 - mmengine - INFO - Epoch(train) [110][740/1879] lr: 1.0000e-03 eta: 21:46:44 time: 0.2844 data_time: 0.0239 memory: 8198 grad_norm: 5.6497 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3472 loss: 1.3472 2022/08/03 06:55:42 - mmengine - INFO - Epoch(train) [110][760/1879] lr: 1.0000e-03 eta: 21:46:38 time: 0.2849 data_time: 0.0191 memory: 8198 grad_norm: 5.6543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2650 loss: 1.2650 2022/08/03 06:55:48 - mmengine - INFO - Epoch(train) [110][780/1879] lr: 1.0000e-03 eta: 21:46:33 time: 0.2853 data_time: 0.0247 memory: 8198 grad_norm: 5.8016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/08/03 06:55:53 - mmengine - INFO - Epoch(train) [110][800/1879] lr: 1.0000e-03 eta: 21:46:27 time: 0.2890 data_time: 0.0241 memory: 8198 grad_norm: 5.6864 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2730 loss: 1.2730 2022/08/03 06:55:59 - mmengine - INFO - Epoch(train) [110][820/1879] lr: 1.0000e-03 eta: 21:46:21 time: 0.2836 data_time: 0.0224 memory: 8198 grad_norm: 5.6424 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3310 loss: 1.3310 2022/08/03 06:56:05 - mmengine - INFO - Epoch(train) [110][840/1879] lr: 1.0000e-03 eta: 21:46:16 time: 0.2837 data_time: 0.0239 memory: 8198 grad_norm: 5.8259 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0899 loss: 1.0899 2022/08/03 06:56:11 - mmengine - INFO - Epoch(train) [110][860/1879] lr: 1.0000e-03 eta: 21:46:10 time: 0.2864 data_time: 0.0284 memory: 8198 grad_norm: 5.8619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2268 loss: 1.2268 2022/08/03 06:56:16 - mmengine - INFO - Epoch(train) [110][880/1879] lr: 1.0000e-03 eta: 21:46:04 time: 0.2813 data_time: 0.0208 memory: 8198 grad_norm: 5.8479 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1594 loss: 1.1594 2022/08/03 06:56:22 - mmengine - INFO - Epoch(train) [110][900/1879] lr: 1.0000e-03 eta: 21:45:59 time: 0.2853 data_time: 0.0283 memory: 8198 grad_norm: 5.5872 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2582 loss: 1.2582 2022/08/03 06:56:28 - mmengine - INFO - Epoch(train) [110][920/1879] lr: 1.0000e-03 eta: 21:45:53 time: 0.2841 data_time: 0.0229 memory: 8198 grad_norm: 5.5881 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1885 loss: 1.1885 2022/08/03 06:56:33 - mmengine - INFO - Epoch(train) [110][940/1879] lr: 1.0000e-03 eta: 21:45:47 time: 0.2852 data_time: 0.0214 memory: 8198 grad_norm: 5.9447 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3380 loss: 1.3380 2022/08/03 06:56:39 - mmengine - INFO - Epoch(train) [110][960/1879] lr: 1.0000e-03 eta: 21:45:41 time: 0.2820 data_time: 0.0181 memory: 8198 grad_norm: 5.6471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/08/03 06:56:45 - mmengine - INFO - Epoch(train) [110][980/1879] lr: 1.0000e-03 eta: 21:45:36 time: 0.2868 data_time: 0.0275 memory: 8198 grad_norm: 5.7996 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3024 loss: 1.3024 2022/08/03 06:56:50 - mmengine - INFO - Epoch(train) [110][1000/1879] lr: 1.0000e-03 eta: 21:45:30 time: 0.2813 data_time: 0.0181 memory: 8198 grad_norm: 5.7362 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/08/03 06:56:56 - mmengine - INFO - Epoch(train) [110][1020/1879] lr: 1.0000e-03 eta: 21:45:24 time: 0.2852 data_time: 0.0267 memory: 8198 grad_norm: 5.7231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/08/03 06:57:02 - mmengine - INFO - Epoch(train) [110][1040/1879] lr: 1.0000e-03 eta: 21:45:18 time: 0.2793 data_time: 0.0171 memory: 8198 grad_norm: 5.7710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/08/03 06:57:07 - mmengine - INFO - Epoch(train) [110][1060/1879] lr: 1.0000e-03 eta: 21:45:13 time: 0.2835 data_time: 0.0235 memory: 8198 grad_norm: 5.7920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2801 loss: 1.2801 2022/08/03 06:57:13 - mmengine - INFO - Epoch(train) [110][1080/1879] lr: 1.0000e-03 eta: 21:45:07 time: 0.2875 data_time: 0.0215 memory: 8198 grad_norm: 5.6939 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2152 loss: 1.2152 2022/08/03 06:57:19 - mmengine - INFO - Epoch(train) [110][1100/1879] lr: 1.0000e-03 eta: 21:45:01 time: 0.2842 data_time: 0.0223 memory: 8198 grad_norm: 5.7305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2094 loss: 1.2094 2022/08/03 06:57:25 - mmengine - INFO - Epoch(train) [110][1120/1879] lr: 1.0000e-03 eta: 21:44:56 time: 0.2913 data_time: 0.0320 memory: 8198 grad_norm: 5.8609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0946 loss: 1.0946 2022/08/03 06:57:30 - mmengine - INFO - Epoch(train) [110][1140/1879] lr: 1.0000e-03 eta: 21:44:50 time: 0.2822 data_time: 0.0209 memory: 8198 grad_norm: 5.7103 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3309 loss: 1.3309 2022/08/03 06:57:36 - mmengine - INFO - Epoch(train) [110][1160/1879] lr: 1.0000e-03 eta: 21:44:44 time: 0.2848 data_time: 0.0212 memory: 8198 grad_norm: 5.7545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/08/03 06:57:42 - mmengine - INFO - Epoch(train) [110][1180/1879] lr: 1.0000e-03 eta: 21:44:39 time: 0.2816 data_time: 0.0233 memory: 8198 grad_norm: 5.7536 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3542 loss: 1.3542 2022/08/03 06:57:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 06:57:47 - mmengine - INFO - Epoch(train) [110][1200/1879] lr: 1.0000e-03 eta: 21:44:33 time: 0.2841 data_time: 0.0227 memory: 8198 grad_norm: 5.6508 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9957 loss: 0.9957 2022/08/03 06:57:53 - mmengine - INFO - Epoch(train) [110][1220/1879] lr: 1.0000e-03 eta: 21:44:27 time: 0.2888 data_time: 0.0219 memory: 8198 grad_norm: 5.5953 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2543 loss: 1.2543 2022/08/03 06:57:59 - mmengine - INFO - Epoch(train) [110][1240/1879] lr: 1.0000e-03 eta: 21:44:22 time: 0.2839 data_time: 0.0273 memory: 8198 grad_norm: 5.4621 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0359 loss: 1.0359 2022/08/03 06:58:05 - mmengine - INFO - Epoch(train) [110][1260/1879] lr: 1.0000e-03 eta: 21:44:16 time: 0.2835 data_time: 0.0262 memory: 8198 grad_norm: 5.9006 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2495 loss: 1.2495 2022/08/03 06:58:10 - mmengine - INFO - Epoch(train) [110][1280/1879] lr: 1.0000e-03 eta: 21:44:10 time: 0.2839 data_time: 0.0224 memory: 8198 grad_norm: 5.7500 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1728 loss: 1.1728 2022/08/03 06:58:16 - mmengine - INFO - Epoch(train) [110][1300/1879] lr: 1.0000e-03 eta: 21:44:05 time: 0.2843 data_time: 0.0262 memory: 8198 grad_norm: 5.6561 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2451 loss: 1.2451 2022/08/03 06:58:22 - mmengine - INFO - Epoch(train) [110][1320/1879] lr: 1.0000e-03 eta: 21:43:59 time: 0.2821 data_time: 0.0233 memory: 8198 grad_norm: 5.6398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3099 loss: 1.3099 2022/08/03 06:58:27 - mmengine - INFO - Epoch(train) [110][1340/1879] lr: 1.0000e-03 eta: 21:43:53 time: 0.2839 data_time: 0.0218 memory: 8198 grad_norm: 5.7436 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1411 loss: 1.1411 2022/08/03 06:58:33 - mmengine - INFO - Epoch(train) [110][1360/1879] lr: 1.0000e-03 eta: 21:43:47 time: 0.2817 data_time: 0.0233 memory: 8198 grad_norm: 5.6372 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4923 loss: 1.4923 2022/08/03 06:58:39 - mmengine - INFO - Epoch(train) [110][1380/1879] lr: 1.0000e-03 eta: 21:43:42 time: 0.2889 data_time: 0.0214 memory: 8198 grad_norm: 5.8092 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/08/03 06:58:44 - mmengine - INFO - Epoch(train) [110][1400/1879] lr: 1.0000e-03 eta: 21:43:36 time: 0.2819 data_time: 0.0234 memory: 8198 grad_norm: 5.6976 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1166 loss: 1.1166 2022/08/03 06:58:50 - mmengine - INFO - Epoch(train) [110][1420/1879] lr: 1.0000e-03 eta: 21:43:31 time: 0.2944 data_time: 0.0217 memory: 8198 grad_norm: 5.7406 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/08/03 06:58:56 - mmengine - INFO - Epoch(train) [110][1440/1879] lr: 1.0000e-03 eta: 21:43:25 time: 0.2807 data_time: 0.0200 memory: 8198 grad_norm: 5.5711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2471 loss: 1.2471 2022/08/03 06:59:02 - mmengine - INFO - Epoch(train) [110][1460/1879] lr: 1.0000e-03 eta: 21:43:19 time: 0.2835 data_time: 0.0222 memory: 8198 grad_norm: 5.6934 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1090 loss: 1.1090 2022/08/03 06:59:08 - mmengine - INFO - Epoch(train) [110][1480/1879] lr: 1.0000e-03 eta: 21:43:14 time: 0.2974 data_time: 0.0199 memory: 8198 grad_norm: 5.7881 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2139 loss: 1.2139 2022/08/03 06:59:13 - mmengine - INFO - Epoch(train) [110][1500/1879] lr: 1.0000e-03 eta: 21:43:08 time: 0.2816 data_time: 0.0236 memory: 8198 grad_norm: 5.8773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2507 loss: 1.2507 2022/08/03 06:59:19 - mmengine - INFO - Epoch(train) [110][1520/1879] lr: 1.0000e-03 eta: 21:43:02 time: 0.2881 data_time: 0.0257 memory: 8198 grad_norm: 5.8665 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/08/03 06:59:25 - mmengine - INFO - Epoch(train) [110][1540/1879] lr: 1.0000e-03 eta: 21:42:57 time: 0.2820 data_time: 0.0227 memory: 8198 grad_norm: 5.5548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2663 loss: 1.2663 2022/08/03 06:59:30 - mmengine - INFO - Epoch(train) [110][1560/1879] lr: 1.0000e-03 eta: 21:42:51 time: 0.2820 data_time: 0.0176 memory: 8198 grad_norm: 5.6651 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/08/03 06:59:36 - mmengine - INFO - Epoch(train) [110][1580/1879] lr: 1.0000e-03 eta: 21:42:45 time: 0.2827 data_time: 0.0221 memory: 8198 grad_norm: 5.7475 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2888 loss: 1.2888 2022/08/03 06:59:42 - mmengine - INFO - Epoch(train) [110][1600/1879] lr: 1.0000e-03 eta: 21:42:39 time: 0.2882 data_time: 0.0230 memory: 8198 grad_norm: 5.8648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/08/03 06:59:47 - mmengine - INFO - Epoch(train) [110][1620/1879] lr: 1.0000e-03 eta: 21:42:34 time: 0.2840 data_time: 0.0208 memory: 8198 grad_norm: 5.7598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3130 loss: 1.3130 2022/08/03 06:59:53 - mmengine - INFO - Epoch(train) [110][1640/1879] lr: 1.0000e-03 eta: 21:42:28 time: 0.2886 data_time: 0.0311 memory: 8198 grad_norm: 5.6616 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2388 loss: 1.2388 2022/08/03 06:59:59 - mmengine - INFO - Epoch(train) [110][1660/1879] lr: 1.0000e-03 eta: 21:42:22 time: 0.2864 data_time: 0.0195 memory: 8198 grad_norm: 5.6081 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1876 loss: 1.1876 2022/08/03 07:00:05 - mmengine - INFO - Epoch(train) [110][1680/1879] lr: 1.0000e-03 eta: 21:42:17 time: 0.2847 data_time: 0.0230 memory: 8198 grad_norm: 5.6895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1139 loss: 1.1139 2022/08/03 07:00:11 - mmengine - INFO - Epoch(train) [110][1700/1879] lr: 1.0000e-03 eta: 21:42:11 time: 0.2875 data_time: 0.0261 memory: 8198 grad_norm: 5.7998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2201 loss: 1.2201 2022/08/03 07:00:16 - mmengine - INFO - Epoch(train) [110][1720/1879] lr: 1.0000e-03 eta: 21:42:06 time: 0.2851 data_time: 0.0204 memory: 8198 grad_norm: 5.8574 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2744 loss: 1.2744 2022/08/03 07:00:22 - mmengine - INFO - Epoch(train) [110][1740/1879] lr: 1.0000e-03 eta: 21:42:00 time: 0.2954 data_time: 0.0202 memory: 8198 grad_norm: 5.8185 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1504 loss: 1.1504 2022/08/03 07:00:28 - mmengine - INFO - Epoch(train) [110][1760/1879] lr: 1.0000e-03 eta: 21:41:54 time: 0.2873 data_time: 0.0253 memory: 8198 grad_norm: 5.7274 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2150 loss: 1.2150 2022/08/03 07:00:34 - mmengine - INFO - Epoch(train) [110][1780/1879] lr: 1.0000e-03 eta: 21:41:49 time: 0.2890 data_time: 0.0284 memory: 8198 grad_norm: 5.6851 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9818 loss: 0.9818 2022/08/03 07:00:39 - mmengine - INFO - Epoch(train) [110][1800/1879] lr: 1.0000e-03 eta: 21:41:43 time: 0.2846 data_time: 0.0196 memory: 8198 grad_norm: 5.7978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0626 loss: 1.0626 2022/08/03 07:00:45 - mmengine - INFO - Epoch(train) [110][1820/1879] lr: 1.0000e-03 eta: 21:41:38 time: 0.2851 data_time: 0.0270 memory: 8198 grad_norm: 5.8436 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1533 loss: 1.1533 2022/08/03 07:00:51 - mmengine - INFO - Epoch(train) [110][1840/1879] lr: 1.0000e-03 eta: 21:41:32 time: 0.2972 data_time: 0.0205 memory: 8198 grad_norm: 5.8888 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1781 loss: 1.1781 2022/08/03 07:00:57 - mmengine - INFO - Epoch(train) [110][1860/1879] lr: 1.0000e-03 eta: 21:41:26 time: 0.2840 data_time: 0.0262 memory: 8198 grad_norm: 5.6154 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2295 loss: 1.2295 2022/08/03 07:01:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:01:02 - mmengine - INFO - Epoch(train) [110][1879/1879] lr: 1.0000e-03 eta: 21:41:26 time: 0.2611 data_time: 0.0181 memory: 8198 grad_norm: 5.7462 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1325 loss: 1.1325 2022/08/03 07:01:10 - mmengine - INFO - Epoch(val) [110][20/155] eta: 0:00:54 time: 0.4021 data_time: 0.3137 memory: 1514 2022/08/03 07:01:15 - mmengine - INFO - Epoch(val) [110][40/155] eta: 0:00:26 time: 0.2333 data_time: 0.1457 memory: 1514 2022/08/03 07:01:21 - mmengine - INFO - Epoch(val) [110][60/155] eta: 0:00:28 time: 0.2997 data_time: 0.2105 memory: 1514 2022/08/03 07:01:25 - mmengine - INFO - Epoch(val) [110][80/155] eta: 0:00:16 time: 0.2254 data_time: 0.1404 memory: 1514 2022/08/03 07:01:31 - mmengine - INFO - Epoch(val) [110][100/155] eta: 0:00:17 time: 0.3120 data_time: 0.2267 memory: 1514 2022/08/03 07:01:36 - mmengine - INFO - Epoch(val) [110][120/155] eta: 0:00:07 time: 0.2204 data_time: 0.1337 memory: 1514 2022/08/03 07:01:42 - mmengine - INFO - Epoch(val) [110][140/155] eta: 0:00:04 time: 0.2957 data_time: 0.2087 memory: 1514 2022/08/03 07:01:45 - mmengine - INFO - Epoch(val) [110][155/155] acc/top1: 0.6787 acc/top5: 0.8710 acc/mean1: 0.6785 2022/08/03 07:01:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_106.pth is removed 2022/08/03 07:01:47 - mmengine - INFO - The best checkpoint with 0.6787 acc/top1 at 111 epoch is saved to best_acc/top1_epoch_111.pth. 2022/08/03 07:01:54 - mmengine - INFO - Epoch(train) [111][20/1879] lr: 1.0000e-03 eta: 21:41:11 time: 0.3765 data_time: 0.1180 memory: 8198 grad_norm: 5.6644 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1712 loss: 1.1712 2022/08/03 07:02:00 - mmengine - INFO - Epoch(train) [111][40/1879] lr: 1.0000e-03 eta: 21:41:05 time: 0.2866 data_time: 0.0151 memory: 8198 grad_norm: 5.8739 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3050 loss: 1.3050 2022/08/03 07:02:06 - mmengine - INFO - Epoch(train) [111][60/1879] lr: 1.0000e-03 eta: 21:40:59 time: 0.2865 data_time: 0.0209 memory: 8198 grad_norm: 5.6932 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2108 loss: 1.2108 2022/08/03 07:02:12 - mmengine - INFO - Epoch(train) [111][80/1879] lr: 1.0000e-03 eta: 21:40:54 time: 0.2833 data_time: 0.0244 memory: 8198 grad_norm: 5.7193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1730 loss: 1.1730 2022/08/03 07:02:17 - mmengine - INFO - Epoch(train) [111][100/1879] lr: 1.0000e-03 eta: 21:40:48 time: 0.2812 data_time: 0.0193 memory: 8198 grad_norm: 5.8650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1769 loss: 1.1769 2022/08/03 07:02:23 - mmengine - INFO - Epoch(train) [111][120/1879] lr: 1.0000e-03 eta: 21:40:42 time: 0.2869 data_time: 0.0267 memory: 8198 grad_norm: 5.5032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/03 07:02:29 - mmengine - INFO - Epoch(train) [111][140/1879] lr: 1.0000e-03 eta: 21:40:36 time: 0.2839 data_time: 0.0200 memory: 8198 grad_norm: 5.8216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3030 loss: 1.3030 2022/08/03 07:02:34 - mmengine - INFO - Epoch(train) [111][160/1879] lr: 1.0000e-03 eta: 21:40:31 time: 0.2853 data_time: 0.0234 memory: 8198 grad_norm: 5.6132 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2709 loss: 1.2709 2022/08/03 07:02:40 - mmengine - INFO - Epoch(train) [111][180/1879] lr: 1.0000e-03 eta: 21:40:25 time: 0.2861 data_time: 0.0256 memory: 8198 grad_norm: 5.6497 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0566 loss: 1.0566 2022/08/03 07:02:46 - mmengine - INFO - Epoch(train) [111][200/1879] lr: 1.0000e-03 eta: 21:40:19 time: 0.2837 data_time: 0.0216 memory: 8198 grad_norm: 5.7886 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1973 loss: 1.1973 2022/08/03 07:02:51 - mmengine - INFO - Epoch(train) [111][220/1879] lr: 1.0000e-03 eta: 21:40:14 time: 0.2836 data_time: 0.0227 memory: 8198 grad_norm: 5.9604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0533 loss: 1.0533 2022/08/03 07:02:57 - mmengine - INFO - Epoch(train) [111][240/1879] lr: 1.0000e-03 eta: 21:40:08 time: 0.2928 data_time: 0.0198 memory: 8198 grad_norm: 5.8158 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1932 loss: 1.1932 2022/08/03 07:03:03 - mmengine - INFO - Epoch(train) [111][260/1879] lr: 1.0000e-03 eta: 21:40:03 time: 0.2880 data_time: 0.0254 memory: 8198 grad_norm: 5.7116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/08/03 07:03:09 - mmengine - INFO - Epoch(train) [111][280/1879] lr: 1.0000e-03 eta: 21:39:57 time: 0.2785 data_time: 0.0176 memory: 8198 grad_norm: 5.8284 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2930 loss: 1.2930 2022/08/03 07:03:14 - mmengine - INFO - Epoch(train) [111][300/1879] lr: 1.0000e-03 eta: 21:39:51 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 5.6908 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1565 loss: 1.1565 2022/08/03 07:03:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:03:20 - mmengine - INFO - Epoch(train) [111][320/1879] lr: 1.0000e-03 eta: 21:39:45 time: 0.2844 data_time: 0.0224 memory: 8198 grad_norm: 5.6778 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1348 loss: 1.1348 2022/08/03 07:03:26 - mmengine - INFO - Epoch(train) [111][340/1879] lr: 1.0000e-03 eta: 21:39:40 time: 0.2810 data_time: 0.0243 memory: 8198 grad_norm: 5.7700 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1387 loss: 1.1387 2022/08/03 07:03:32 - mmengine - INFO - Epoch(train) [111][360/1879] lr: 1.0000e-03 eta: 21:39:34 time: 0.2903 data_time: 0.0208 memory: 8198 grad_norm: 5.7656 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3430 loss: 1.3430 2022/08/03 07:03:37 - mmengine - INFO - Epoch(train) [111][380/1879] lr: 1.0000e-03 eta: 21:39:28 time: 0.2825 data_time: 0.0212 memory: 8198 grad_norm: 5.7008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2206 loss: 1.2206 2022/08/03 07:03:43 - mmengine - INFO - Epoch(train) [111][400/1879] lr: 1.0000e-03 eta: 21:39:23 time: 0.2886 data_time: 0.0275 memory: 8198 grad_norm: 5.5807 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9945 loss: 0.9945 2022/08/03 07:03:49 - mmengine - INFO - Epoch(train) [111][420/1879] lr: 1.0000e-03 eta: 21:39:17 time: 0.2834 data_time: 0.0244 memory: 8198 grad_norm: 5.5807 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1690 loss: 1.1690 2022/08/03 07:03:54 - mmengine - INFO - Epoch(train) [111][440/1879] lr: 1.0000e-03 eta: 21:39:11 time: 0.2853 data_time: 0.0231 memory: 8198 grad_norm: 5.7457 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3078 loss: 1.3078 2022/08/03 07:04:00 - mmengine - INFO - Epoch(train) [111][460/1879] lr: 1.0000e-03 eta: 21:39:06 time: 0.2906 data_time: 0.0312 memory: 8198 grad_norm: 5.6783 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0749 loss: 1.0749 2022/08/03 07:04:06 - mmengine - INFO - Epoch(train) [111][480/1879] lr: 1.0000e-03 eta: 21:39:00 time: 0.2843 data_time: 0.0253 memory: 8198 grad_norm: 5.7534 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1736 loss: 1.1736 2022/08/03 07:04:12 - mmengine - INFO - Epoch(train) [111][500/1879] lr: 1.0000e-03 eta: 21:38:54 time: 0.2842 data_time: 0.0230 memory: 8198 grad_norm: 5.7478 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/08/03 07:04:17 - mmengine - INFO - Epoch(train) [111][520/1879] lr: 1.0000e-03 eta: 21:38:49 time: 0.2855 data_time: 0.0223 memory: 8198 grad_norm: 5.6174 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1885 loss: 1.1885 2022/08/03 07:04:23 - mmengine - INFO - Epoch(train) [111][540/1879] lr: 1.0000e-03 eta: 21:38:43 time: 0.2855 data_time: 0.0191 memory: 8198 grad_norm: 5.8520 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2864 loss: 1.2864 2022/08/03 07:04:29 - mmengine - INFO - Epoch(train) [111][560/1879] lr: 1.0000e-03 eta: 21:38:37 time: 0.2841 data_time: 0.0245 memory: 8198 grad_norm: 5.7580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/08/03 07:04:35 - mmengine - INFO - Epoch(train) [111][580/1879] lr: 1.0000e-03 eta: 21:38:32 time: 0.2841 data_time: 0.0267 memory: 8198 grad_norm: 5.8328 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1963 loss: 1.1963 2022/08/03 07:04:40 - mmengine - INFO - Epoch(train) [111][600/1879] lr: 1.0000e-03 eta: 21:38:26 time: 0.2833 data_time: 0.0205 memory: 8198 grad_norm: 5.7301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/08/03 07:04:46 - mmengine - INFO - Epoch(train) [111][620/1879] lr: 1.0000e-03 eta: 21:38:20 time: 0.2804 data_time: 0.0221 memory: 8198 grad_norm: 5.7727 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/08/03 07:04:52 - mmengine - INFO - Epoch(train) [111][640/1879] lr: 1.0000e-03 eta: 21:38:14 time: 0.2838 data_time: 0.0243 memory: 8198 grad_norm: 5.6181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2790 loss: 1.2790 2022/08/03 07:04:57 - mmengine - INFO - Epoch(train) [111][660/1879] lr: 1.0000e-03 eta: 21:38:09 time: 0.2848 data_time: 0.0274 memory: 8198 grad_norm: 5.6987 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2743 loss: 1.2743 2022/08/03 07:05:03 - mmengine - INFO - Epoch(train) [111][680/1879] lr: 1.0000e-03 eta: 21:38:03 time: 0.2839 data_time: 0.0212 memory: 8198 grad_norm: 5.9131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0079 loss: 1.0079 2022/08/03 07:05:09 - mmengine - INFO - Epoch(train) [111][700/1879] lr: 1.0000e-03 eta: 21:37:57 time: 0.2846 data_time: 0.0261 memory: 8198 grad_norm: 5.7381 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3452 loss: 1.3452 2022/08/03 07:05:14 - mmengine - INFO - Epoch(train) [111][720/1879] lr: 1.0000e-03 eta: 21:37:52 time: 0.2808 data_time: 0.0204 memory: 8198 grad_norm: 5.7138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3063 loss: 1.3063 2022/08/03 07:05:20 - mmengine - INFO - Epoch(train) [111][740/1879] lr: 1.0000e-03 eta: 21:37:46 time: 0.2839 data_time: 0.0266 memory: 8198 grad_norm: 5.7723 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0829 loss: 1.0829 2022/08/03 07:05:26 - mmengine - INFO - Epoch(train) [111][760/1879] lr: 1.0000e-03 eta: 21:37:40 time: 0.2832 data_time: 0.0238 memory: 8198 grad_norm: 5.5176 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3454 loss: 1.3454 2022/08/03 07:05:31 - mmengine - INFO - Epoch(train) [111][780/1879] lr: 1.0000e-03 eta: 21:37:34 time: 0.2872 data_time: 0.0200 memory: 8198 grad_norm: 5.7233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4648 loss: 1.4648 2022/08/03 07:05:37 - mmengine - INFO - Epoch(train) [111][800/1879] lr: 1.0000e-03 eta: 21:37:29 time: 0.2795 data_time: 0.0207 memory: 8198 grad_norm: 5.7010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0614 loss: 1.0614 2022/08/03 07:05:43 - mmengine - INFO - Epoch(train) [111][820/1879] lr: 1.0000e-03 eta: 21:37:23 time: 0.2837 data_time: 0.0231 memory: 8198 grad_norm: 5.5232 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1577 loss: 1.1577 2022/08/03 07:05:48 - mmengine - INFO - Epoch(train) [111][840/1879] lr: 1.0000e-03 eta: 21:37:17 time: 0.2862 data_time: 0.0156 memory: 8198 grad_norm: 5.6051 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2208 loss: 1.2208 2022/08/03 07:05:54 - mmengine - INFO - Epoch(train) [111][860/1879] lr: 1.0000e-03 eta: 21:37:12 time: 0.2976 data_time: 0.0205 memory: 8198 grad_norm: 5.6348 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2172 loss: 1.2172 2022/08/03 07:06:00 - mmengine - INFO - Epoch(train) [111][880/1879] lr: 1.0000e-03 eta: 21:37:06 time: 0.2848 data_time: 0.0228 memory: 8198 grad_norm: 5.6927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2623 loss: 1.2623 2022/08/03 07:06:06 - mmengine - INFO - Epoch(train) [111][900/1879] lr: 1.0000e-03 eta: 21:37:01 time: 0.2868 data_time: 0.0208 memory: 8198 grad_norm: 5.7814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2408 loss: 1.2408 2022/08/03 07:06:12 - mmengine - INFO - Epoch(train) [111][920/1879] lr: 1.0000e-03 eta: 21:36:55 time: 0.2842 data_time: 0.0234 memory: 8198 grad_norm: 5.8168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3774 loss: 1.3774 2022/08/03 07:06:17 - mmengine - INFO - Epoch(train) [111][940/1879] lr: 1.0000e-03 eta: 21:36:49 time: 0.2847 data_time: 0.0210 memory: 8198 grad_norm: 5.7337 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0732 loss: 1.0732 2022/08/03 07:06:23 - mmengine - INFO - Epoch(train) [111][960/1879] lr: 1.0000e-03 eta: 21:36:44 time: 0.2842 data_time: 0.0193 memory: 8198 grad_norm: 5.8090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2809 loss: 1.2809 2022/08/03 07:06:29 - mmengine - INFO - Epoch(train) [111][980/1879] lr: 1.0000e-03 eta: 21:36:38 time: 0.2819 data_time: 0.0225 memory: 8198 grad_norm: 5.8101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2708 loss: 1.2708 2022/08/03 07:06:34 - mmengine - INFO - Epoch(train) [111][1000/1879] lr: 1.0000e-03 eta: 21:36:32 time: 0.2839 data_time: 0.0215 memory: 8198 grad_norm: 5.8254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/08/03 07:06:40 - mmengine - INFO - Epoch(train) [111][1020/1879] lr: 1.0000e-03 eta: 21:36:26 time: 0.2894 data_time: 0.0273 memory: 8198 grad_norm: 5.6455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0806 loss: 1.0806 2022/08/03 07:06:46 - mmengine - INFO - Epoch(train) [111][1040/1879] lr: 1.0000e-03 eta: 21:36:21 time: 0.2824 data_time: 0.0226 memory: 8198 grad_norm: 5.6987 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0510 loss: 1.0510 2022/08/03 07:06:52 - mmengine - INFO - Epoch(train) [111][1060/1879] lr: 1.0000e-03 eta: 21:36:15 time: 0.2851 data_time: 0.0243 memory: 8198 grad_norm: 5.8577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1955 loss: 1.1955 2022/08/03 07:06:57 - mmengine - INFO - Epoch(train) [111][1080/1879] lr: 1.0000e-03 eta: 21:36:09 time: 0.2809 data_time: 0.0230 memory: 8198 grad_norm: 5.6305 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1205 loss: 1.1205 2022/08/03 07:07:03 - mmengine - INFO - Epoch(train) [111][1100/1879] lr: 1.0000e-03 eta: 21:36:04 time: 0.3048 data_time: 0.0211 memory: 8198 grad_norm: 5.8011 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0503 loss: 1.0503 2022/08/03 07:07:09 - mmengine - INFO - Epoch(train) [111][1120/1879] lr: 1.0000e-03 eta: 21:35:58 time: 0.2802 data_time: 0.0158 memory: 8198 grad_norm: 5.7747 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1309 loss: 1.1309 2022/08/03 07:07:15 - mmengine - INFO - Epoch(train) [111][1140/1879] lr: 1.0000e-03 eta: 21:35:53 time: 0.2847 data_time: 0.0289 memory: 8198 grad_norm: 5.7489 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0309 loss: 1.0309 2022/08/03 07:07:21 - mmengine - INFO - Epoch(train) [111][1160/1879] lr: 1.0000e-03 eta: 21:35:47 time: 0.3016 data_time: 0.0190 memory: 8198 grad_norm: 5.9669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2612 loss: 1.2612 2022/08/03 07:07:26 - mmengine - INFO - Epoch(train) [111][1180/1879] lr: 1.0000e-03 eta: 21:35:42 time: 0.2796 data_time: 0.0203 memory: 8198 grad_norm: 5.9784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1233 loss: 1.1233 2022/08/03 07:07:32 - mmengine - INFO - Epoch(train) [111][1200/1879] lr: 1.0000e-03 eta: 21:35:36 time: 0.2834 data_time: 0.0227 memory: 8198 grad_norm: 5.6995 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1477 loss: 1.1477 2022/08/03 07:07:38 - mmengine - INFO - Epoch(train) [111][1220/1879] lr: 1.0000e-03 eta: 21:35:30 time: 0.2928 data_time: 0.0228 memory: 8198 grad_norm: 5.8330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1378 loss: 1.1378 2022/08/03 07:07:44 - mmengine - INFO - Epoch(train) [111][1240/1879] lr: 1.0000e-03 eta: 21:35:25 time: 0.2897 data_time: 0.0233 memory: 8198 grad_norm: 5.6954 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2963 loss: 1.2963 2022/08/03 07:07:49 - mmengine - INFO - Epoch(train) [111][1260/1879] lr: 1.0000e-03 eta: 21:35:19 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 5.9777 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1567 loss: 1.1567 2022/08/03 07:07:55 - mmengine - INFO - Epoch(train) [111][1280/1879] lr: 1.0000e-03 eta: 21:35:13 time: 0.2857 data_time: 0.0226 memory: 8198 grad_norm: 5.8605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/08/03 07:08:01 - mmengine - INFO - Epoch(train) [111][1300/1879] lr: 1.0000e-03 eta: 21:35:08 time: 0.2842 data_time: 0.0241 memory: 8198 grad_norm: 5.6840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0859 loss: 1.0859 2022/08/03 07:08:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:08:07 - mmengine - INFO - Epoch(train) [111][1320/1879] lr: 1.0000e-03 eta: 21:35:02 time: 0.2965 data_time: 0.0368 memory: 8198 grad_norm: 5.6763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/08/03 07:08:12 - mmengine - INFO - Epoch(train) [111][1340/1879] lr: 1.0000e-03 eta: 21:34:57 time: 0.2837 data_time: 0.0207 memory: 8198 grad_norm: 5.6979 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1057 loss: 1.1057 2022/08/03 07:08:18 - mmengine - INFO - Epoch(train) [111][1360/1879] lr: 1.0000e-03 eta: 21:34:51 time: 0.2811 data_time: 0.0194 memory: 8198 grad_norm: 5.7904 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1851 loss: 1.1851 2022/08/03 07:08:24 - mmengine - INFO - Epoch(train) [111][1380/1879] lr: 1.0000e-03 eta: 21:34:46 time: 0.3010 data_time: 0.0232 memory: 8198 grad_norm: 5.6769 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3097 loss: 1.3097 2022/08/03 07:08:30 - mmengine - INFO - Epoch(train) [111][1400/1879] lr: 1.0000e-03 eta: 21:34:40 time: 0.2812 data_time: 0.0178 memory: 8198 grad_norm: 5.7397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0977 loss: 1.0977 2022/08/03 07:08:35 - mmengine - INFO - Epoch(train) [111][1420/1879] lr: 1.0000e-03 eta: 21:34:34 time: 0.2825 data_time: 0.0226 memory: 8198 grad_norm: 5.8713 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2320 loss: 1.2320 2022/08/03 07:08:41 - mmengine - INFO - Epoch(train) [111][1440/1879] lr: 1.0000e-03 eta: 21:34:28 time: 0.2890 data_time: 0.0270 memory: 8198 grad_norm: 5.7175 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2344 loss: 1.2344 2022/08/03 07:08:47 - mmengine - INFO - Epoch(train) [111][1460/1879] lr: 1.0000e-03 eta: 21:34:23 time: 0.2842 data_time: 0.0251 memory: 8198 grad_norm: 5.6752 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2340 loss: 1.2340 2022/08/03 07:08:53 - mmengine - INFO - Epoch(train) [111][1480/1879] lr: 1.0000e-03 eta: 21:34:17 time: 0.2900 data_time: 0.0244 memory: 8198 grad_norm: 5.7213 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2350 loss: 1.2350 2022/08/03 07:08:58 - mmengine - INFO - Epoch(train) [111][1500/1879] lr: 1.0000e-03 eta: 21:34:12 time: 0.2870 data_time: 0.0262 memory: 8198 grad_norm: 5.7724 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1154 loss: 1.1154 2022/08/03 07:09:04 - mmengine - INFO - Epoch(train) [111][1520/1879] lr: 1.0000e-03 eta: 21:34:06 time: 0.2991 data_time: 0.0250 memory: 8198 grad_norm: 5.6463 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2205 loss: 1.2205 2022/08/03 07:09:10 - mmengine - INFO - Epoch(train) [111][1540/1879] lr: 1.0000e-03 eta: 21:34:01 time: 0.2878 data_time: 0.0256 memory: 8198 grad_norm: 5.8689 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/08/03 07:09:16 - mmengine - INFO - Epoch(train) [111][1560/1879] lr: 1.0000e-03 eta: 21:33:55 time: 0.2830 data_time: 0.0195 memory: 8198 grad_norm: 5.8260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3612 loss: 1.3612 2022/08/03 07:09:22 - mmengine - INFO - Epoch(train) [111][1580/1879] lr: 1.0000e-03 eta: 21:33:49 time: 0.2896 data_time: 0.0173 memory: 8198 grad_norm: 5.9424 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1867 loss: 1.1867 2022/08/03 07:09:27 - mmengine - INFO - Epoch(train) [111][1600/1879] lr: 1.0000e-03 eta: 21:33:44 time: 0.2803 data_time: 0.0218 memory: 8198 grad_norm: 5.7527 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3581 loss: 1.3581 2022/08/03 07:09:33 - mmengine - INFO - Epoch(train) [111][1620/1879] lr: 1.0000e-03 eta: 21:33:38 time: 0.2895 data_time: 0.0234 memory: 8198 grad_norm: 5.7777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2180 loss: 1.2180 2022/08/03 07:09:39 - mmengine - INFO - Epoch(train) [111][1640/1879] lr: 1.0000e-03 eta: 21:33:32 time: 0.2845 data_time: 0.0219 memory: 8198 grad_norm: 5.5690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/03 07:09:45 - mmengine - INFO - Epoch(train) [111][1660/1879] lr: 1.0000e-03 eta: 21:33:27 time: 0.2812 data_time: 0.0252 memory: 8198 grad_norm: 5.8596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9783 loss: 0.9783 2022/08/03 07:09:50 - mmengine - INFO - Epoch(train) [111][1680/1879] lr: 1.0000e-03 eta: 21:33:21 time: 0.2835 data_time: 0.0248 memory: 8198 grad_norm: 5.8301 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2828 loss: 1.2828 2022/08/03 07:09:56 - mmengine - INFO - Epoch(train) [111][1700/1879] lr: 1.0000e-03 eta: 21:33:15 time: 0.2851 data_time: 0.0224 memory: 8198 grad_norm: 5.9398 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2776 loss: 1.2776 2022/08/03 07:10:02 - mmengine - INFO - Epoch(train) [111][1720/1879] lr: 1.0000e-03 eta: 21:33:10 time: 0.2884 data_time: 0.0214 memory: 8198 grad_norm: 5.7512 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2536 loss: 1.2536 2022/08/03 07:10:07 - mmengine - INFO - Epoch(train) [111][1740/1879] lr: 1.0000e-03 eta: 21:33:04 time: 0.2824 data_time: 0.0213 memory: 8198 grad_norm: 5.7910 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2431 loss: 1.2431 2022/08/03 07:10:13 - mmengine - INFO - Epoch(train) [111][1760/1879] lr: 1.0000e-03 eta: 21:32:58 time: 0.2859 data_time: 0.0243 memory: 8198 grad_norm: 5.8769 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1496 loss: 1.1496 2022/08/03 07:10:19 - mmengine - INFO - Epoch(train) [111][1780/1879] lr: 1.0000e-03 eta: 21:32:52 time: 0.2822 data_time: 0.0230 memory: 8198 grad_norm: 5.7893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/08/03 07:10:25 - mmengine - INFO - Epoch(train) [111][1800/1879] lr: 1.0000e-03 eta: 21:32:47 time: 0.2944 data_time: 0.0218 memory: 8198 grad_norm: 5.8157 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2430 loss: 1.2430 2022/08/03 07:10:30 - mmengine - INFO - Epoch(train) [111][1820/1879] lr: 1.0000e-03 eta: 21:32:41 time: 0.2818 data_time: 0.0212 memory: 8198 grad_norm: 5.8622 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2954 loss: 1.2954 2022/08/03 07:10:36 - mmengine - INFO - Epoch(train) [111][1840/1879] lr: 1.0000e-03 eta: 21:32:35 time: 0.2835 data_time: 0.0194 memory: 8198 grad_norm: 5.8740 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/08/03 07:10:42 - mmengine - INFO - Epoch(train) [111][1860/1879] lr: 1.0000e-03 eta: 21:32:30 time: 0.2846 data_time: 0.0241 memory: 8198 grad_norm: 5.9857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/03 07:10:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:10:47 - mmengine - INFO - Epoch(train) [111][1879/1879] lr: 1.0000e-03 eta: 21:32:30 time: 0.2590 data_time: 0.0163 memory: 8198 grad_norm: 5.7737 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3742 loss: 1.3742 2022/08/03 07:10:55 - mmengine - INFO - Epoch(train) [112][20/1879] lr: 1.0000e-03 eta: 21:32:15 time: 0.4114 data_time: 0.1101 memory: 8198 grad_norm: 5.7429 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9196 loss: 0.9196 2022/08/03 07:11:01 - mmengine - INFO - Epoch(train) [112][40/1879] lr: 1.0000e-03 eta: 21:32:10 time: 0.3215 data_time: 0.0222 memory: 8198 grad_norm: 5.8939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2643 loss: 1.2643 2022/08/03 07:11:07 - mmengine - INFO - Epoch(train) [112][60/1879] lr: 1.0000e-03 eta: 21:32:04 time: 0.2811 data_time: 0.0218 memory: 8198 grad_norm: 5.8588 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1975 loss: 1.1975 2022/08/03 07:11:13 - mmengine - INFO - Epoch(train) [112][80/1879] lr: 1.0000e-03 eta: 21:31:59 time: 0.2831 data_time: 0.0250 memory: 8198 grad_norm: 5.7922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1161 loss: 1.1161 2022/08/03 07:11:19 - mmengine - INFO - Epoch(train) [112][100/1879] lr: 1.0000e-03 eta: 21:31:53 time: 0.2891 data_time: 0.0291 memory: 8198 grad_norm: 5.7761 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2032 loss: 1.2032 2022/08/03 07:11:24 - mmengine - INFO - Epoch(train) [112][120/1879] lr: 1.0000e-03 eta: 21:31:47 time: 0.2884 data_time: 0.0230 memory: 8198 grad_norm: 5.7248 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2891 loss: 1.2891 2022/08/03 07:11:30 - mmengine - INFO - Epoch(train) [112][140/1879] lr: 1.0000e-03 eta: 21:31:42 time: 0.2840 data_time: 0.0230 memory: 8198 grad_norm: 5.7202 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0823 loss: 1.0823 2022/08/03 07:11:36 - mmengine - INFO - Epoch(train) [112][160/1879] lr: 1.0000e-03 eta: 21:31:36 time: 0.2817 data_time: 0.0208 memory: 8198 grad_norm: 5.8098 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0160 loss: 1.0160 2022/08/03 07:11:42 - mmengine - INFO - Epoch(train) [112][180/1879] lr: 1.0000e-03 eta: 21:31:30 time: 0.2907 data_time: 0.0201 memory: 8198 grad_norm: 5.8519 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3419 loss: 1.3419 2022/08/03 07:11:47 - mmengine - INFO - Epoch(train) [112][200/1879] lr: 1.0000e-03 eta: 21:31:25 time: 0.2808 data_time: 0.0205 memory: 8198 grad_norm: 5.8717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0482 loss: 1.0482 2022/08/03 07:11:53 - mmengine - INFO - Epoch(train) [112][220/1879] lr: 1.0000e-03 eta: 21:31:19 time: 0.2847 data_time: 0.0231 memory: 8198 grad_norm: 5.8378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/08/03 07:11:59 - mmengine - INFO - Epoch(train) [112][240/1879] lr: 1.0000e-03 eta: 21:31:13 time: 0.2835 data_time: 0.0256 memory: 8198 grad_norm: 5.6811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0873 loss: 1.0873 2022/08/03 07:12:04 - mmengine - INFO - Epoch(train) [112][260/1879] lr: 1.0000e-03 eta: 21:31:08 time: 0.2892 data_time: 0.0271 memory: 8198 grad_norm: 5.9187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8583 loss: 0.8583 2022/08/03 07:12:10 - mmengine - INFO - Epoch(train) [112][280/1879] lr: 1.0000e-03 eta: 21:31:02 time: 0.2834 data_time: 0.0214 memory: 8198 grad_norm: 5.8126 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2516 loss: 1.2516 2022/08/03 07:12:16 - mmengine - INFO - Epoch(train) [112][300/1879] lr: 1.0000e-03 eta: 21:30:56 time: 0.2815 data_time: 0.0233 memory: 8198 grad_norm: 5.8429 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2007 loss: 1.2007 2022/08/03 07:12:22 - mmengine - INFO - Epoch(train) [112][320/1879] lr: 1.0000e-03 eta: 21:30:51 time: 0.3014 data_time: 0.0227 memory: 8198 grad_norm: 5.7905 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0706 loss: 1.0706 2022/08/03 07:12:27 - mmengine - INFO - Epoch(train) [112][340/1879] lr: 1.0000e-03 eta: 21:30:45 time: 0.2822 data_time: 0.0257 memory: 8198 grad_norm: 5.8009 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2630 loss: 1.2630 2022/08/03 07:12:33 - mmengine - INFO - Epoch(train) [112][360/1879] lr: 1.0000e-03 eta: 21:30:39 time: 0.2813 data_time: 0.0230 memory: 8198 grad_norm: 5.9941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2915 loss: 1.2915 2022/08/03 07:12:39 - mmengine - INFO - Epoch(train) [112][380/1879] lr: 1.0000e-03 eta: 21:30:34 time: 0.2831 data_time: 0.0236 memory: 8198 grad_norm: 5.8314 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3122 loss: 1.3122 2022/08/03 07:12:44 - mmengine - INFO - Epoch(train) [112][400/1879] lr: 1.0000e-03 eta: 21:30:28 time: 0.2880 data_time: 0.0226 memory: 8198 grad_norm: 5.9781 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1470 loss: 1.1470 2022/08/03 07:12:50 - mmengine - INFO - Epoch(train) [112][420/1879] lr: 1.0000e-03 eta: 21:30:22 time: 0.2877 data_time: 0.0227 memory: 8198 grad_norm: 5.8594 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1926 loss: 1.1926 2022/08/03 07:12:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:12:56 - mmengine - INFO - Epoch(train) [112][440/1879] lr: 1.0000e-03 eta: 21:30:17 time: 0.2854 data_time: 0.0251 memory: 8198 grad_norm: 5.7807 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2060 loss: 1.2060 2022/08/03 07:13:02 - mmengine - INFO - Epoch(train) [112][460/1879] lr: 1.0000e-03 eta: 21:30:11 time: 0.2847 data_time: 0.0246 memory: 8198 grad_norm: 5.8172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0912 loss: 1.0912 2022/08/03 07:13:07 - mmengine - INFO - Epoch(train) [112][480/1879] lr: 1.0000e-03 eta: 21:30:05 time: 0.2838 data_time: 0.0225 memory: 8198 grad_norm: 5.7114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/08/03 07:13:13 - mmengine - INFO - Epoch(train) [112][500/1879] lr: 1.0000e-03 eta: 21:30:00 time: 0.2844 data_time: 0.0238 memory: 8198 grad_norm: 5.6820 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0996 loss: 1.0996 2022/08/03 07:13:19 - mmengine - INFO - Epoch(train) [112][520/1879] lr: 1.0000e-03 eta: 21:29:54 time: 0.2898 data_time: 0.0221 memory: 8198 grad_norm: 5.7093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0877 loss: 1.0877 2022/08/03 07:13:25 - mmengine - INFO - Epoch(train) [112][540/1879] lr: 1.0000e-03 eta: 21:29:49 time: 0.2939 data_time: 0.0236 memory: 8198 grad_norm: 5.8475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1207 loss: 1.1207 2022/08/03 07:13:30 - mmengine - INFO - Epoch(train) [112][560/1879] lr: 1.0000e-03 eta: 21:29:43 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 5.9187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2539 loss: 1.2539 2022/08/03 07:13:36 - mmengine - INFO - Epoch(train) [112][580/1879] lr: 1.0000e-03 eta: 21:29:37 time: 0.2842 data_time: 0.0225 memory: 8198 grad_norm: 5.8069 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1624 loss: 1.1624 2022/08/03 07:13:42 - mmengine - INFO - Epoch(train) [112][600/1879] lr: 1.0000e-03 eta: 21:29:32 time: 0.2910 data_time: 0.0192 memory: 8198 grad_norm: 5.7696 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/08/03 07:13:48 - mmengine - INFO - Epoch(train) [112][620/1879] lr: 1.0000e-03 eta: 21:29:26 time: 0.2834 data_time: 0.0244 memory: 8198 grad_norm: 5.9117 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2890 loss: 1.2890 2022/08/03 07:13:53 - mmengine - INFO - Epoch(train) [112][640/1879] lr: 1.0000e-03 eta: 21:29:20 time: 0.2830 data_time: 0.0201 memory: 8198 grad_norm: 5.8138 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3949 loss: 1.3949 2022/08/03 07:13:59 - mmengine - INFO - Epoch(train) [112][660/1879] lr: 1.0000e-03 eta: 21:29:15 time: 0.2824 data_time: 0.0251 memory: 8198 grad_norm: 5.7415 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/08/03 07:14:05 - mmengine - INFO - Epoch(train) [112][680/1879] lr: 1.0000e-03 eta: 21:29:09 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 5.8339 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1234 loss: 1.1234 2022/08/03 07:14:11 - mmengine - INFO - Epoch(train) [112][700/1879] lr: 1.0000e-03 eta: 21:29:03 time: 0.2904 data_time: 0.0253 memory: 8198 grad_norm: 5.7431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2894 loss: 1.2894 2022/08/03 07:14:16 - mmengine - INFO - Epoch(train) [112][720/1879] lr: 1.0000e-03 eta: 21:28:58 time: 0.2872 data_time: 0.0220 memory: 8198 grad_norm: 5.8358 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3071 loss: 1.3071 2022/08/03 07:14:22 - mmengine - INFO - Epoch(train) [112][740/1879] lr: 1.0000e-03 eta: 21:28:52 time: 0.2859 data_time: 0.0224 memory: 8198 grad_norm: 5.8103 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/08/03 07:14:28 - mmengine - INFO - Epoch(train) [112][760/1879] lr: 1.0000e-03 eta: 21:28:46 time: 0.2816 data_time: 0.0160 memory: 8198 grad_norm: 5.7773 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1257 loss: 1.1257 2022/08/03 07:14:33 - mmengine - INFO - Epoch(train) [112][780/1879] lr: 1.0000e-03 eta: 21:28:41 time: 0.2815 data_time: 0.0223 memory: 8198 grad_norm: 5.8164 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3257 loss: 1.3257 2022/08/03 07:14:39 - mmengine - INFO - Epoch(train) [112][800/1879] lr: 1.0000e-03 eta: 21:28:35 time: 0.2857 data_time: 0.0203 memory: 8198 grad_norm: 5.8437 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0323 loss: 1.0323 2022/08/03 07:14:45 - mmengine - INFO - Epoch(train) [112][820/1879] lr: 1.0000e-03 eta: 21:28:29 time: 0.2853 data_time: 0.0224 memory: 8198 grad_norm: 5.7291 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1212 loss: 1.1212 2022/08/03 07:14:50 - mmengine - INFO - Epoch(train) [112][840/1879] lr: 1.0000e-03 eta: 21:28:23 time: 0.2812 data_time: 0.0179 memory: 8198 grad_norm: 5.7709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0052 loss: 1.0052 2022/08/03 07:14:56 - mmengine - INFO - Epoch(train) [112][860/1879] lr: 1.0000e-03 eta: 21:28:18 time: 0.2829 data_time: 0.0241 memory: 8198 grad_norm: 5.9227 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0661 loss: 1.0661 2022/08/03 07:15:02 - mmengine - INFO - Epoch(train) [112][880/1879] lr: 1.0000e-03 eta: 21:28:12 time: 0.2960 data_time: 0.0229 memory: 8198 grad_norm: 5.7908 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/08/03 07:15:08 - mmengine - INFO - Epoch(train) [112][900/1879] lr: 1.0000e-03 eta: 21:28:06 time: 0.2809 data_time: 0.0209 memory: 8198 grad_norm: 5.8340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/08/03 07:15:13 - mmengine - INFO - Epoch(train) [112][920/1879] lr: 1.0000e-03 eta: 21:28:01 time: 0.2826 data_time: 0.0221 memory: 8198 grad_norm: 5.8366 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3322 loss: 1.3322 2022/08/03 07:15:19 - mmengine - INFO - Epoch(train) [112][940/1879] lr: 1.0000e-03 eta: 21:27:55 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 5.7396 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/08/03 07:15:25 - mmengine - INFO - Epoch(train) [112][960/1879] lr: 1.0000e-03 eta: 21:27:50 time: 0.2960 data_time: 0.0222 memory: 8198 grad_norm: 5.6537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1861 loss: 1.1861 2022/08/03 07:15:31 - mmengine - INFO - Epoch(train) [112][980/1879] lr: 1.0000e-03 eta: 21:27:44 time: 0.2871 data_time: 0.0220 memory: 8198 grad_norm: 5.6590 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1083 loss: 1.1083 2022/08/03 07:15:36 - mmengine - INFO - Epoch(train) [112][1000/1879] lr: 1.0000e-03 eta: 21:27:38 time: 0.2809 data_time: 0.0232 memory: 8198 grad_norm: 5.7680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/08/03 07:15:42 - mmengine - INFO - Epoch(train) [112][1020/1879] lr: 1.0000e-03 eta: 21:27:32 time: 0.2835 data_time: 0.0234 memory: 8198 grad_norm: 5.9516 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3085 loss: 1.3085 2022/08/03 07:15:48 - mmengine - INFO - Epoch(train) [112][1040/1879] lr: 1.0000e-03 eta: 21:27:27 time: 0.2958 data_time: 0.0255 memory: 8198 grad_norm: 5.7990 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3443 loss: 1.3443 2022/08/03 07:15:54 - mmengine - INFO - Epoch(train) [112][1060/1879] lr: 1.0000e-03 eta: 21:27:21 time: 0.2830 data_time: 0.0193 memory: 8198 grad_norm: 5.6604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2657 loss: 1.2657 2022/08/03 07:15:59 - mmengine - INFO - Epoch(train) [112][1080/1879] lr: 1.0000e-03 eta: 21:27:16 time: 0.2832 data_time: 0.0192 memory: 8198 grad_norm: 5.9296 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1217 loss: 1.1217 2022/08/03 07:16:05 - mmengine - INFO - Epoch(train) [112][1100/1879] lr: 1.0000e-03 eta: 21:27:10 time: 0.2866 data_time: 0.0225 memory: 8198 grad_norm: 5.8113 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2174 loss: 1.2174 2022/08/03 07:16:11 - mmengine - INFO - Epoch(train) [112][1120/1879] lr: 1.0000e-03 eta: 21:27:04 time: 0.2896 data_time: 0.0225 memory: 8198 grad_norm: 6.0522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3867 loss: 1.3867 2022/08/03 07:16:17 - mmengine - INFO - Epoch(train) [112][1140/1879] lr: 1.0000e-03 eta: 21:26:59 time: 0.2981 data_time: 0.0309 memory: 8198 grad_norm: 5.9176 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/08/03 07:16:23 - mmengine - INFO - Epoch(train) [112][1160/1879] lr: 1.0000e-03 eta: 21:26:53 time: 0.2812 data_time: 0.0236 memory: 8198 grad_norm: 5.7733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1124 loss: 1.1124 2022/08/03 07:16:28 - mmengine - INFO - Epoch(train) [112][1180/1879] lr: 1.0000e-03 eta: 21:26:48 time: 0.2833 data_time: 0.0244 memory: 8198 grad_norm: 5.6226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3401 loss: 1.3401 2022/08/03 07:16:34 - mmengine - INFO - Epoch(train) [112][1200/1879] lr: 1.0000e-03 eta: 21:26:42 time: 0.2894 data_time: 0.0232 memory: 8198 grad_norm: 5.8099 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2206 loss: 1.2206 2022/08/03 07:16:40 - mmengine - INFO - Epoch(train) [112][1220/1879] lr: 1.0000e-03 eta: 21:26:36 time: 0.2870 data_time: 0.0220 memory: 8198 grad_norm: 5.8123 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1818 loss: 1.1818 2022/08/03 07:16:45 - mmengine - INFO - Epoch(train) [112][1240/1879] lr: 1.0000e-03 eta: 21:26:31 time: 0.2795 data_time: 0.0201 memory: 8198 grad_norm: 5.6933 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1322 loss: 1.1322 2022/08/03 07:16:51 - mmengine - INFO - Epoch(train) [112][1260/1879] lr: 1.0000e-03 eta: 21:26:25 time: 0.2894 data_time: 0.0323 memory: 8198 grad_norm: 6.0144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1609 loss: 1.1609 2022/08/03 07:16:57 - mmengine - INFO - Epoch(train) [112][1280/1879] lr: 1.0000e-03 eta: 21:26:19 time: 0.2842 data_time: 0.0216 memory: 8198 grad_norm: 5.8435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1867 loss: 1.1867 2022/08/03 07:17:03 - mmengine - INFO - Epoch(train) [112][1300/1879] lr: 1.0000e-03 eta: 21:26:14 time: 0.2843 data_time: 0.0204 memory: 8198 grad_norm: 5.6860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/08/03 07:17:08 - mmengine - INFO - Epoch(train) [112][1320/1879] lr: 1.0000e-03 eta: 21:26:08 time: 0.2831 data_time: 0.0223 memory: 8198 grad_norm: 5.9078 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1282 loss: 1.1282 2022/08/03 07:17:14 - mmengine - INFO - Epoch(train) [112][1340/1879] lr: 1.0000e-03 eta: 21:26:02 time: 0.2856 data_time: 0.0235 memory: 8198 grad_norm: 5.7230 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3986 loss: 1.3986 2022/08/03 07:17:20 - mmengine - INFO - Epoch(train) [112][1360/1879] lr: 1.0000e-03 eta: 21:25:56 time: 0.2841 data_time: 0.0243 memory: 8198 grad_norm: 5.8550 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2678 loss: 1.2678 2022/08/03 07:17:25 - mmengine - INFO - Epoch(train) [112][1380/1879] lr: 1.0000e-03 eta: 21:25:51 time: 0.2828 data_time: 0.0219 memory: 8198 grad_norm: 5.8977 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4013 loss: 1.4013 2022/08/03 07:17:31 - mmengine - INFO - Epoch(train) [112][1400/1879] lr: 1.0000e-03 eta: 21:25:45 time: 0.2878 data_time: 0.0255 memory: 8198 grad_norm: 5.8993 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1900 loss: 1.1900 2022/08/03 07:17:37 - mmengine - INFO - Epoch(train) [112][1420/1879] lr: 1.0000e-03 eta: 21:25:39 time: 0.2844 data_time: 0.0235 memory: 8198 grad_norm: 5.7188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4534 loss: 1.4534 2022/08/03 07:17:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:17:43 - mmengine - INFO - Epoch(train) [112][1440/1879] lr: 1.0000e-03 eta: 21:25:34 time: 0.2858 data_time: 0.0239 memory: 8198 grad_norm: 6.0196 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1873 loss: 1.1873 2022/08/03 07:17:48 - mmengine - INFO - Epoch(train) [112][1460/1879] lr: 1.0000e-03 eta: 21:25:28 time: 0.2844 data_time: 0.0251 memory: 8198 grad_norm: 6.0206 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1467 loss: 1.1467 2022/08/03 07:17:54 - mmengine - INFO - Epoch(train) [112][1480/1879] lr: 1.0000e-03 eta: 21:25:22 time: 0.2827 data_time: 0.0208 memory: 8198 grad_norm: 5.7973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1523 loss: 1.1523 2022/08/03 07:18:00 - mmengine - INFO - Epoch(train) [112][1500/1879] lr: 1.0000e-03 eta: 21:25:17 time: 0.2853 data_time: 0.0227 memory: 8198 grad_norm: 5.8084 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0832 loss: 1.0832 2022/08/03 07:18:05 - mmengine - INFO - Epoch(train) [112][1520/1879] lr: 1.0000e-03 eta: 21:25:11 time: 0.2834 data_time: 0.0184 memory: 8198 grad_norm: 5.9031 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1255 loss: 1.1255 2022/08/03 07:18:11 - mmengine - INFO - Epoch(train) [112][1540/1879] lr: 1.0000e-03 eta: 21:25:05 time: 0.2860 data_time: 0.0223 memory: 8198 grad_norm: 5.8376 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/08/03 07:18:17 - mmengine - INFO - Epoch(train) [112][1560/1879] lr: 1.0000e-03 eta: 21:25:00 time: 0.2849 data_time: 0.0227 memory: 8198 grad_norm: 5.9353 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1304 loss: 1.1304 2022/08/03 07:18:23 - mmengine - INFO - Epoch(train) [112][1580/1879] lr: 1.0000e-03 eta: 21:24:54 time: 0.2816 data_time: 0.0241 memory: 8198 grad_norm: 5.8504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1964 loss: 1.1964 2022/08/03 07:18:28 - mmengine - INFO - Epoch(train) [112][1600/1879] lr: 1.0000e-03 eta: 21:24:48 time: 0.2829 data_time: 0.0186 memory: 8198 grad_norm: 5.7637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2332 loss: 1.2332 2022/08/03 07:18:34 - mmengine - INFO - Epoch(train) [112][1620/1879] lr: 1.0000e-03 eta: 21:24:42 time: 0.2866 data_time: 0.0255 memory: 8198 grad_norm: 5.7094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1057 loss: 1.1057 2022/08/03 07:18:40 - mmengine - INFO - Epoch(train) [112][1640/1879] lr: 1.0000e-03 eta: 21:24:37 time: 0.2814 data_time: 0.0178 memory: 8198 grad_norm: 5.7163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0949 loss: 1.0949 2022/08/03 07:18:45 - mmengine - INFO - Epoch(train) [112][1660/1879] lr: 1.0000e-03 eta: 21:24:31 time: 0.2838 data_time: 0.0227 memory: 8198 grad_norm: 5.9015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3344 loss: 1.3344 2022/08/03 07:18:51 - mmengine - INFO - Epoch(train) [112][1680/1879] lr: 1.0000e-03 eta: 21:24:26 time: 0.2962 data_time: 0.0204 memory: 8198 grad_norm: 5.8864 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5269 loss: 1.5269 2022/08/03 07:18:57 - mmengine - INFO - Epoch(train) [112][1700/1879] lr: 1.0000e-03 eta: 21:24:20 time: 0.2793 data_time: 0.0201 memory: 8198 grad_norm: 5.6872 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1486 loss: 1.1486 2022/08/03 07:19:02 - mmengine - INFO - Epoch(train) [112][1720/1879] lr: 1.0000e-03 eta: 21:24:14 time: 0.2832 data_time: 0.0216 memory: 8198 grad_norm: 5.8311 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0741 loss: 1.0741 2022/08/03 07:19:08 - mmengine - INFO - Epoch(train) [112][1740/1879] lr: 1.0000e-03 eta: 21:24:08 time: 0.2849 data_time: 0.0251 memory: 8198 grad_norm: 5.8558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2925 loss: 1.2925 2022/08/03 07:19:14 - mmengine - INFO - Epoch(train) [112][1760/1879] lr: 1.0000e-03 eta: 21:24:03 time: 0.2860 data_time: 0.0228 memory: 8198 grad_norm: 5.7241 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/08/03 07:19:20 - mmengine - INFO - Epoch(train) [112][1780/1879] lr: 1.0000e-03 eta: 21:23:57 time: 0.2848 data_time: 0.0245 memory: 8198 grad_norm: 5.9786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1780 loss: 1.1780 2022/08/03 07:19:25 - mmengine - INFO - Epoch(train) [112][1800/1879] lr: 1.0000e-03 eta: 21:23:51 time: 0.2873 data_time: 0.0197 memory: 8198 grad_norm: 5.9798 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2055 loss: 1.2055 2022/08/03 07:19:31 - mmengine - INFO - Epoch(train) [112][1820/1879] lr: 1.0000e-03 eta: 21:23:46 time: 0.2876 data_time: 0.0202 memory: 8198 grad_norm: 5.7169 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0653 loss: 1.0653 2022/08/03 07:19:37 - mmengine - INFO - Epoch(train) [112][1840/1879] lr: 1.0000e-03 eta: 21:23:40 time: 0.2850 data_time: 0.0232 memory: 8198 grad_norm: 5.7169 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/03 07:19:43 - mmengine - INFO - Epoch(train) [112][1860/1879] lr: 1.0000e-03 eta: 21:23:34 time: 0.2851 data_time: 0.0268 memory: 8198 grad_norm: 5.5594 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1243 loss: 1.1243 2022/08/03 07:19:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:19:47 - mmengine - INFO - Epoch(train) [112][1879/1879] lr: 1.0000e-03 eta: 21:23:34 time: 0.2547 data_time: 0.0122 memory: 8198 grad_norm: 6.1116 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0997 loss: 1.0997 2022/08/03 07:19:48 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/08/03 07:19:58 - mmengine - INFO - Epoch(train) [113][20/1879] lr: 1.0000e-03 eta: 21:23:18 time: 0.3657 data_time: 0.1060 memory: 8198 grad_norm: 6.0212 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2723 loss: 1.2723 2022/08/03 07:20:04 - mmengine - INFO - Epoch(train) [113][40/1879] lr: 1.0000e-03 eta: 21:23:13 time: 0.2969 data_time: 0.0337 memory: 8198 grad_norm: 5.7281 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2415 loss: 1.2415 2022/08/03 07:20:09 - mmengine - INFO - Epoch(train) [113][60/1879] lr: 1.0000e-03 eta: 21:23:07 time: 0.2832 data_time: 0.0234 memory: 8198 grad_norm: 5.7913 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/08/03 07:20:15 - mmengine - INFO - Epoch(train) [113][80/1879] lr: 1.0000e-03 eta: 21:23:02 time: 0.2834 data_time: 0.0260 memory: 8198 grad_norm: 5.8574 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1561 loss: 1.1561 2022/08/03 07:20:21 - mmengine - INFO - Epoch(train) [113][100/1879] lr: 1.0000e-03 eta: 21:22:56 time: 0.2836 data_time: 0.0270 memory: 8198 grad_norm: 5.9601 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2709 loss: 1.2709 2022/08/03 07:20:26 - mmengine - INFO - Epoch(train) [113][120/1879] lr: 1.0000e-03 eta: 21:22:50 time: 0.2835 data_time: 0.0240 memory: 8198 grad_norm: 5.8387 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2228 loss: 1.2228 2022/08/03 07:20:32 - mmengine - INFO - Epoch(train) [113][140/1879] lr: 1.0000e-03 eta: 21:22:44 time: 0.2877 data_time: 0.0199 memory: 8198 grad_norm: 5.8053 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1828 loss: 1.1828 2022/08/03 07:20:38 - mmengine - INFO - Epoch(train) [113][160/1879] lr: 1.0000e-03 eta: 21:22:39 time: 0.2852 data_time: 0.0239 memory: 8198 grad_norm: 5.8634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1727 loss: 1.1727 2022/08/03 07:20:44 - mmengine - INFO - Epoch(train) [113][180/1879] lr: 1.0000e-03 eta: 21:22:33 time: 0.2908 data_time: 0.0282 memory: 8198 grad_norm: 5.8108 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2942 loss: 1.2942 2022/08/03 07:20:49 - mmengine - INFO - Epoch(train) [113][200/1879] lr: 1.0000e-03 eta: 21:22:28 time: 0.2825 data_time: 0.0212 memory: 8198 grad_norm: 5.8876 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1437 loss: 1.1437 2022/08/03 07:20:55 - mmengine - INFO - Epoch(train) [113][220/1879] lr: 1.0000e-03 eta: 21:22:22 time: 0.3042 data_time: 0.0276 memory: 8198 grad_norm: 5.7955 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1174 loss: 1.1174 2022/08/03 07:21:01 - mmengine - INFO - Epoch(train) [113][240/1879] lr: 1.0000e-03 eta: 21:22:17 time: 0.2806 data_time: 0.0194 memory: 8198 grad_norm: 5.8135 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1223 loss: 1.1223 2022/08/03 07:21:07 - mmengine - INFO - Epoch(train) [113][260/1879] lr: 1.0000e-03 eta: 21:22:11 time: 0.2803 data_time: 0.0242 memory: 8198 grad_norm: 5.7954 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1131 loss: 1.1131 2022/08/03 07:21:12 - mmengine - INFO - Epoch(train) [113][280/1879] lr: 1.0000e-03 eta: 21:22:05 time: 0.2846 data_time: 0.0191 memory: 8198 grad_norm: 5.8992 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2060 loss: 1.2060 2022/08/03 07:21:18 - mmengine - INFO - Epoch(train) [113][300/1879] lr: 1.0000e-03 eta: 21:21:59 time: 0.2853 data_time: 0.0284 memory: 8198 grad_norm: 5.7267 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1071 loss: 1.1071 2022/08/03 07:21:24 - mmengine - INFO - Epoch(train) [113][320/1879] lr: 1.0000e-03 eta: 21:21:54 time: 0.2817 data_time: 0.0236 memory: 8198 grad_norm: 5.8367 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4014 loss: 1.4014 2022/08/03 07:21:29 - mmengine - INFO - Epoch(train) [113][340/1879] lr: 1.0000e-03 eta: 21:21:48 time: 0.2846 data_time: 0.0240 memory: 8198 grad_norm: 5.7412 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/08/03 07:21:35 - mmengine - INFO - Epoch(train) [113][360/1879] lr: 1.0000e-03 eta: 21:21:42 time: 0.2872 data_time: 0.0231 memory: 8198 grad_norm: 5.8396 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0888 loss: 1.0888 2022/08/03 07:21:41 - mmengine - INFO - Epoch(train) [113][380/1879] lr: 1.0000e-03 eta: 21:21:37 time: 0.2854 data_time: 0.0210 memory: 8198 grad_norm: 5.8774 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/08/03 07:21:47 - mmengine - INFO - Epoch(train) [113][400/1879] lr: 1.0000e-03 eta: 21:21:31 time: 0.2794 data_time: 0.0211 memory: 8198 grad_norm: 5.5458 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2481 loss: 1.2481 2022/08/03 07:21:53 - mmengine - INFO - Epoch(train) [113][420/1879] lr: 1.0000e-03 eta: 21:21:26 time: 0.3005 data_time: 0.0275 memory: 8198 grad_norm: 5.8189 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/08/03 07:21:58 - mmengine - INFO - Epoch(train) [113][440/1879] lr: 1.0000e-03 eta: 21:21:20 time: 0.2820 data_time: 0.0195 memory: 8198 grad_norm: 5.8996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1220 loss: 1.1220 2022/08/03 07:22:04 - mmengine - INFO - Epoch(train) [113][460/1879] lr: 1.0000e-03 eta: 21:21:14 time: 0.2810 data_time: 0.0207 memory: 8198 grad_norm: 5.9581 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2475 loss: 1.2475 2022/08/03 07:22:10 - mmengine - INFO - Epoch(train) [113][480/1879] lr: 1.0000e-03 eta: 21:21:08 time: 0.2829 data_time: 0.0267 memory: 8198 grad_norm: 6.0020 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9627 loss: 0.9627 2022/08/03 07:22:15 - mmengine - INFO - Epoch(train) [113][500/1879] lr: 1.0000e-03 eta: 21:21:02 time: 0.2820 data_time: 0.0216 memory: 8198 grad_norm: 5.6933 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2628 loss: 1.2628 2022/08/03 07:22:21 - mmengine - INFO - Epoch(train) [113][520/1879] lr: 1.0000e-03 eta: 21:20:57 time: 0.2938 data_time: 0.0251 memory: 8198 grad_norm: 5.8968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1782 loss: 1.1782 2022/08/03 07:22:27 - mmengine - INFO - Epoch(train) [113][540/1879] lr: 1.0000e-03 eta: 21:20:51 time: 0.2863 data_time: 0.0189 memory: 8198 grad_norm: 5.7520 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2754 loss: 1.2754 2022/08/03 07:22:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:22:33 - mmengine - INFO - Epoch(train) [113][560/1879] lr: 1.0000e-03 eta: 21:20:46 time: 0.2926 data_time: 0.0266 memory: 8198 grad_norm: 5.8148 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2308 loss: 1.2308 2022/08/03 07:22:38 - mmengine - INFO - Epoch(train) [113][580/1879] lr: 1.0000e-03 eta: 21:20:40 time: 0.2855 data_time: 0.0219 memory: 8198 grad_norm: 5.7112 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1553 loss: 1.1553 2022/08/03 07:22:44 - mmengine - INFO - Epoch(train) [113][600/1879] lr: 1.0000e-03 eta: 21:20:35 time: 0.2887 data_time: 0.0280 memory: 8198 grad_norm: 5.7697 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1500 loss: 1.1500 2022/08/03 07:22:50 - mmengine - INFO - Epoch(train) [113][620/1879] lr: 1.0000e-03 eta: 21:20:29 time: 0.2851 data_time: 0.0246 memory: 8198 grad_norm: 5.7867 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2580 loss: 1.2580 2022/08/03 07:22:56 - mmengine - INFO - Epoch(train) [113][640/1879] lr: 1.0000e-03 eta: 21:20:23 time: 0.2834 data_time: 0.0208 memory: 8198 grad_norm: 5.7850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1503 loss: 1.1503 2022/08/03 07:23:01 - mmengine - INFO - Epoch(train) [113][660/1879] lr: 1.0000e-03 eta: 21:20:18 time: 0.2840 data_time: 0.0240 memory: 8198 grad_norm: 5.9421 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2110 loss: 1.2110 2022/08/03 07:23:07 - mmengine - INFO - Epoch(train) [113][680/1879] lr: 1.0000e-03 eta: 21:20:12 time: 0.2834 data_time: 0.0226 memory: 8198 grad_norm: 5.6654 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1287 loss: 1.1287 2022/08/03 07:23:13 - mmengine - INFO - Epoch(train) [113][700/1879] lr: 1.0000e-03 eta: 21:20:06 time: 0.2813 data_time: 0.0174 memory: 8198 grad_norm: 5.8791 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1650 loss: 1.1650 2022/08/03 07:23:18 - mmengine - INFO - Epoch(train) [113][720/1879] lr: 1.0000e-03 eta: 21:20:00 time: 0.2834 data_time: 0.0260 memory: 8198 grad_norm: 5.7920 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1602 loss: 1.1602 2022/08/03 07:23:24 - mmengine - INFO - Epoch(train) [113][740/1879] lr: 1.0000e-03 eta: 21:19:55 time: 0.2850 data_time: 0.0234 memory: 8198 grad_norm: 5.8707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/08/03 07:23:30 - mmengine - INFO - Epoch(train) [113][760/1879] lr: 1.0000e-03 eta: 21:19:49 time: 0.2806 data_time: 0.0222 memory: 8198 grad_norm: 5.8468 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1550 loss: 1.1550 2022/08/03 07:23:35 - mmengine - INFO - Epoch(train) [113][780/1879] lr: 1.0000e-03 eta: 21:19:43 time: 0.2833 data_time: 0.0223 memory: 8198 grad_norm: 5.9548 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3354 loss: 1.3354 2022/08/03 07:23:42 - mmengine - INFO - Epoch(train) [113][800/1879] lr: 1.0000e-03 eta: 21:19:38 time: 0.3048 data_time: 0.0250 memory: 8198 grad_norm: 5.9232 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1332 loss: 1.1332 2022/08/03 07:23:47 - mmengine - INFO - Epoch(train) [113][820/1879] lr: 1.0000e-03 eta: 21:19:32 time: 0.2794 data_time: 0.0190 memory: 8198 grad_norm: 5.8666 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1005 loss: 1.1005 2022/08/03 07:23:53 - mmengine - INFO - Epoch(train) [113][840/1879] lr: 1.0000e-03 eta: 21:19:26 time: 0.2841 data_time: 0.0260 memory: 8198 grad_norm: 5.6727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2317 loss: 1.2317 2022/08/03 07:23:59 - mmengine - INFO - Epoch(train) [113][860/1879] lr: 1.0000e-03 eta: 21:19:21 time: 0.2854 data_time: 0.0260 memory: 8198 grad_norm: 5.6799 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2503 loss: 1.2503 2022/08/03 07:24:05 - mmengine - INFO - Epoch(train) [113][880/1879] lr: 1.0000e-03 eta: 21:19:16 time: 0.3123 data_time: 0.0221 memory: 8198 grad_norm: 6.0069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1608 loss: 1.1608 2022/08/03 07:24:10 - mmengine - INFO - Epoch(train) [113][900/1879] lr: 1.0000e-03 eta: 21:19:10 time: 0.2811 data_time: 0.0219 memory: 8198 grad_norm: 5.9486 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2171 loss: 1.2171 2022/08/03 07:24:16 - mmengine - INFO - Epoch(train) [113][920/1879] lr: 1.0000e-03 eta: 21:19:04 time: 0.2842 data_time: 0.0195 memory: 8198 grad_norm: 5.7851 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2510 loss: 1.2510 2022/08/03 07:24:22 - mmengine - INFO - Epoch(train) [113][940/1879] lr: 1.0000e-03 eta: 21:18:59 time: 0.2945 data_time: 0.0197 memory: 8198 grad_norm: 5.7895 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2829 loss: 1.2829 2022/08/03 07:24:28 - mmengine - INFO - Epoch(train) [113][960/1879] lr: 1.0000e-03 eta: 21:18:53 time: 0.2803 data_time: 0.0256 memory: 8198 grad_norm: 5.8896 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2442 loss: 1.2442 2022/08/03 07:24:33 - mmengine - INFO - Epoch(train) [113][980/1879] lr: 1.0000e-03 eta: 21:18:47 time: 0.2858 data_time: 0.0238 memory: 8198 grad_norm: 5.8325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1267 loss: 1.1267 2022/08/03 07:24:39 - mmengine - INFO - Epoch(train) [113][1000/1879] lr: 1.0000e-03 eta: 21:18:42 time: 0.2819 data_time: 0.0197 memory: 8198 grad_norm: 5.8061 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2000 loss: 1.2000 2022/08/03 07:24:45 - mmengine - INFO - Epoch(train) [113][1020/1879] lr: 1.0000e-03 eta: 21:18:36 time: 0.2841 data_time: 0.0245 memory: 8198 grad_norm: 5.8118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1329 loss: 1.1329 2022/08/03 07:24:50 - mmengine - INFO - Epoch(train) [113][1040/1879] lr: 1.0000e-03 eta: 21:18:30 time: 0.2858 data_time: 0.0211 memory: 8198 grad_norm: 5.9059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1248 loss: 1.1248 2022/08/03 07:24:56 - mmengine - INFO - Epoch(train) [113][1060/1879] lr: 1.0000e-03 eta: 21:18:25 time: 0.2838 data_time: 0.0281 memory: 8198 grad_norm: 5.9340 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/08/03 07:25:02 - mmengine - INFO - Epoch(train) [113][1080/1879] lr: 1.0000e-03 eta: 21:18:19 time: 0.2855 data_time: 0.0234 memory: 8198 grad_norm: 5.7076 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1761 loss: 1.1761 2022/08/03 07:25:08 - mmengine - INFO - Epoch(train) [113][1100/1879] lr: 1.0000e-03 eta: 21:18:13 time: 0.2874 data_time: 0.0246 memory: 8198 grad_norm: 5.9693 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2228 loss: 1.2228 2022/08/03 07:25:13 - mmengine - INFO - Epoch(train) [113][1120/1879] lr: 1.0000e-03 eta: 21:18:08 time: 0.2854 data_time: 0.0239 memory: 8198 grad_norm: 5.8776 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2867 loss: 1.2867 2022/08/03 07:25:19 - mmengine - INFO - Epoch(train) [113][1140/1879] lr: 1.0000e-03 eta: 21:18:02 time: 0.2823 data_time: 0.0209 memory: 8198 grad_norm: 5.8236 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/08/03 07:25:25 - mmengine - INFO - Epoch(train) [113][1160/1879] lr: 1.0000e-03 eta: 21:17:56 time: 0.2834 data_time: 0.0219 memory: 8198 grad_norm: 5.7212 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2183 loss: 1.2183 2022/08/03 07:25:30 - mmengine - INFO - Epoch(train) [113][1180/1879] lr: 1.0000e-03 eta: 21:17:50 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 5.8453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/08/03 07:25:36 - mmengine - INFO - Epoch(train) [113][1200/1879] lr: 1.0000e-03 eta: 21:17:45 time: 0.2866 data_time: 0.0241 memory: 8198 grad_norm: 5.8367 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1158 loss: 1.1158 2022/08/03 07:25:42 - mmengine - INFO - Epoch(train) [113][1220/1879] lr: 1.0000e-03 eta: 21:17:39 time: 0.2852 data_time: 0.0224 memory: 8198 grad_norm: 5.8540 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/03 07:25:48 - mmengine - INFO - Epoch(train) [113][1240/1879] lr: 1.0000e-03 eta: 21:17:33 time: 0.2881 data_time: 0.0257 memory: 8198 grad_norm: 5.7269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2323 loss: 1.2323 2022/08/03 07:25:53 - mmengine - INFO - Epoch(train) [113][1260/1879] lr: 1.0000e-03 eta: 21:17:28 time: 0.2840 data_time: 0.0219 memory: 8198 grad_norm: 5.9101 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1208 loss: 1.1208 2022/08/03 07:25:59 - mmengine - INFO - Epoch(train) [113][1280/1879] lr: 1.0000e-03 eta: 21:17:22 time: 0.2813 data_time: 0.0226 memory: 8198 grad_norm: 5.7378 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0158 loss: 1.0158 2022/08/03 07:26:05 - mmengine - INFO - Epoch(train) [113][1300/1879] lr: 1.0000e-03 eta: 21:17:16 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 5.9043 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2594 loss: 1.2594 2022/08/03 07:26:10 - mmengine - INFO - Epoch(train) [113][1320/1879] lr: 1.0000e-03 eta: 21:17:10 time: 0.2813 data_time: 0.0256 memory: 8198 grad_norm: 6.0110 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2795 loss: 1.2795 2022/08/03 07:26:16 - mmengine - INFO - Epoch(train) [113][1340/1879] lr: 1.0000e-03 eta: 21:17:05 time: 0.2851 data_time: 0.0239 memory: 8198 grad_norm: 5.7991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3693 loss: 1.3693 2022/08/03 07:26:22 - mmengine - INFO - Epoch(train) [113][1360/1879] lr: 1.0000e-03 eta: 21:16:59 time: 0.2858 data_time: 0.0249 memory: 8198 grad_norm: 5.6479 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1924 loss: 1.1924 2022/08/03 07:26:28 - mmengine - INFO - Epoch(train) [113][1380/1879] lr: 1.0000e-03 eta: 21:16:53 time: 0.2842 data_time: 0.0260 memory: 8198 grad_norm: 5.9237 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2169 loss: 1.2169 2022/08/03 07:26:33 - mmengine - INFO - Epoch(train) [113][1400/1879] lr: 1.0000e-03 eta: 21:16:48 time: 0.2812 data_time: 0.0217 memory: 8198 grad_norm: 5.7119 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1877 loss: 1.1877 2022/08/03 07:26:39 - mmengine - INFO - Epoch(train) [113][1420/1879] lr: 1.0000e-03 eta: 21:16:42 time: 0.2871 data_time: 0.0203 memory: 8198 grad_norm: 5.7672 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2677 loss: 1.2677 2022/08/03 07:26:45 - mmengine - INFO - Epoch(train) [113][1440/1879] lr: 1.0000e-03 eta: 21:16:36 time: 0.2856 data_time: 0.0219 memory: 8198 grad_norm: 6.1570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3037 loss: 1.3037 2022/08/03 07:26:50 - mmengine - INFO - Epoch(train) [113][1460/1879] lr: 1.0000e-03 eta: 21:16:31 time: 0.2824 data_time: 0.0230 memory: 8198 grad_norm: 6.0224 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3461 loss: 1.3461 2022/08/03 07:26:56 - mmengine - INFO - Epoch(train) [113][1480/1879] lr: 1.0000e-03 eta: 21:16:25 time: 0.2839 data_time: 0.0188 memory: 8198 grad_norm: 5.7965 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2661 loss: 1.2661 2022/08/03 07:27:02 - mmengine - INFO - Epoch(train) [113][1500/1879] lr: 1.0000e-03 eta: 21:16:19 time: 0.2864 data_time: 0.0231 memory: 8198 grad_norm: 5.8407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3311 loss: 1.3311 2022/08/03 07:27:07 - mmengine - INFO - Epoch(train) [113][1520/1879] lr: 1.0000e-03 eta: 21:16:13 time: 0.2799 data_time: 0.0239 memory: 8198 grad_norm: 6.0312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/08/03 07:27:13 - mmengine - INFO - Epoch(train) [113][1540/1879] lr: 1.0000e-03 eta: 21:16:08 time: 0.2839 data_time: 0.0278 memory: 8198 grad_norm: 5.7923 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0548 loss: 1.0548 2022/08/03 07:27:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:27:19 - mmengine - INFO - Epoch(train) [113][1560/1879] lr: 1.0000e-03 eta: 21:16:02 time: 0.2809 data_time: 0.0231 memory: 8198 grad_norm: 5.8622 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2170 loss: 1.2170 2022/08/03 07:27:24 - mmengine - INFO - Epoch(train) [113][1580/1879] lr: 1.0000e-03 eta: 21:15:56 time: 0.2800 data_time: 0.0230 memory: 8198 grad_norm: 5.7348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/08/03 07:27:30 - mmengine - INFO - Epoch(train) [113][1600/1879] lr: 1.0000e-03 eta: 21:15:50 time: 0.2841 data_time: 0.0220 memory: 8198 grad_norm: 5.8878 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1367 loss: 1.1367 2022/08/03 07:27:36 - mmengine - INFO - Epoch(train) [113][1620/1879] lr: 1.0000e-03 eta: 21:15:45 time: 0.2857 data_time: 0.0233 memory: 8198 grad_norm: 6.0537 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1773 loss: 1.1773 2022/08/03 07:27:42 - mmengine - INFO - Epoch(train) [113][1640/1879] lr: 1.0000e-03 eta: 21:15:39 time: 0.2993 data_time: 0.0294 memory: 8198 grad_norm: 5.7855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/08/03 07:27:47 - mmengine - INFO - Epoch(train) [113][1660/1879] lr: 1.0000e-03 eta: 21:15:34 time: 0.2774 data_time: 0.0224 memory: 8198 grad_norm: 5.8557 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2218 loss: 1.2218 2022/08/03 07:27:53 - mmengine - INFO - Epoch(train) [113][1680/1879] lr: 1.0000e-03 eta: 21:15:28 time: 0.2847 data_time: 0.0221 memory: 8198 grad_norm: 6.1431 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2728 loss: 1.2728 2022/08/03 07:27:59 - mmengine - INFO - Epoch(train) [113][1700/1879] lr: 1.0000e-03 eta: 21:15:22 time: 0.2838 data_time: 0.0218 memory: 8198 grad_norm: 5.9156 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2823 loss: 1.2823 2022/08/03 07:28:04 - mmengine - INFO - Epoch(train) [113][1720/1879] lr: 1.0000e-03 eta: 21:15:17 time: 0.2865 data_time: 0.0260 memory: 8198 grad_norm: 5.8166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0133 loss: 1.0133 2022/08/03 07:28:10 - mmengine - INFO - Epoch(train) [113][1740/1879] lr: 1.0000e-03 eta: 21:15:11 time: 0.2826 data_time: 0.0230 memory: 8198 grad_norm: 5.7883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0261 loss: 1.0261 2022/08/03 07:28:16 - mmengine - INFO - Epoch(train) [113][1760/1879] lr: 1.0000e-03 eta: 21:15:05 time: 0.2857 data_time: 0.0237 memory: 8198 grad_norm: 5.7567 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1073 loss: 1.1073 2022/08/03 07:28:22 - mmengine - INFO - Epoch(train) [113][1780/1879] lr: 1.0000e-03 eta: 21:15:00 time: 0.2888 data_time: 0.0210 memory: 8198 grad_norm: 5.6928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/08/03 07:28:27 - mmengine - INFO - Epoch(train) [113][1800/1879] lr: 1.0000e-03 eta: 21:14:54 time: 0.2806 data_time: 0.0193 memory: 8198 grad_norm: 5.8694 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/08/03 07:28:33 - mmengine - INFO - Epoch(train) [113][1820/1879] lr: 1.0000e-03 eta: 21:14:48 time: 0.2831 data_time: 0.0243 memory: 8198 grad_norm: 5.9640 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2038 loss: 1.2038 2022/08/03 07:28:39 - mmengine - INFO - Epoch(train) [113][1840/1879] lr: 1.0000e-03 eta: 21:14:42 time: 0.2855 data_time: 0.0188 memory: 8198 grad_norm: 5.8831 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0613 loss: 1.0613 2022/08/03 07:28:45 - mmengine - INFO - Epoch(train) [113][1860/1879] lr: 1.0000e-03 eta: 21:14:37 time: 0.2903 data_time: 0.0274 memory: 8198 grad_norm: 5.8667 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0957 loss: 1.0957 2022/08/03 07:28:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:28:49 - mmengine - INFO - Epoch(train) [113][1879/1879] lr: 1.0000e-03 eta: 21:14:37 time: 0.2558 data_time: 0.0166 memory: 8198 grad_norm: 6.0786 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1772 loss: 1.1772 2022/08/03 07:28:58 - mmengine - INFO - Epoch(train) [114][20/1879] lr: 1.0000e-03 eta: 21:14:22 time: 0.4088 data_time: 0.1092 memory: 8198 grad_norm: 5.5367 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0523 loss: 1.0523 2022/08/03 07:29:03 - mmengine - INFO - Epoch(train) [114][40/1879] lr: 1.0000e-03 eta: 21:14:16 time: 0.2880 data_time: 0.0231 memory: 8198 grad_norm: 5.7996 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1233 loss: 1.1233 2022/08/03 07:29:09 - mmengine - INFO - Epoch(train) [114][60/1879] lr: 1.0000e-03 eta: 21:14:11 time: 0.2871 data_time: 0.0248 memory: 8198 grad_norm: 5.9062 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1320 loss: 1.1320 2022/08/03 07:29:15 - mmengine - INFO - Epoch(train) [114][80/1879] lr: 1.0000e-03 eta: 21:14:05 time: 0.2896 data_time: 0.0219 memory: 8198 grad_norm: 5.9662 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2973 loss: 1.2973 2022/08/03 07:29:21 - mmengine - INFO - Epoch(train) [114][100/1879] lr: 1.0000e-03 eta: 21:14:00 time: 0.2867 data_time: 0.0243 memory: 8198 grad_norm: 5.8052 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1874 loss: 1.1874 2022/08/03 07:29:27 - mmengine - INFO - Epoch(train) [114][120/1879] lr: 1.0000e-03 eta: 21:13:54 time: 0.2877 data_time: 0.0270 memory: 8198 grad_norm: 5.7226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2688 loss: 1.2688 2022/08/03 07:29:32 - mmengine - INFO - Epoch(train) [114][140/1879] lr: 1.0000e-03 eta: 21:13:49 time: 0.2972 data_time: 0.0246 memory: 8198 grad_norm: 5.9556 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0929 loss: 1.0929 2022/08/03 07:29:38 - mmengine - INFO - Epoch(train) [114][160/1879] lr: 1.0000e-03 eta: 21:13:43 time: 0.2802 data_time: 0.0190 memory: 8198 grad_norm: 5.7177 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2844 loss: 1.2844 2022/08/03 07:29:44 - mmengine - INFO - Epoch(train) [114][180/1879] lr: 1.0000e-03 eta: 21:13:37 time: 0.2824 data_time: 0.0218 memory: 8198 grad_norm: 5.9607 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1724 loss: 1.1724 2022/08/03 07:29:49 - mmengine - INFO - Epoch(train) [114][200/1879] lr: 1.0000e-03 eta: 21:13:31 time: 0.2827 data_time: 0.0221 memory: 8198 grad_norm: 5.9121 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2323 loss: 1.2323 2022/08/03 07:29:55 - mmengine - INFO - Epoch(train) [114][220/1879] lr: 1.0000e-03 eta: 21:13:26 time: 0.2899 data_time: 0.0230 memory: 8198 grad_norm: 6.1010 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2222 loss: 1.2222 2022/08/03 07:30:01 - mmengine - INFO - Epoch(train) [114][240/1879] lr: 1.0000e-03 eta: 21:13:20 time: 0.2833 data_time: 0.0178 memory: 8198 grad_norm: 5.8766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2014 loss: 1.2014 2022/08/03 07:30:07 - mmengine - INFO - Epoch(train) [114][260/1879] lr: 1.0000e-03 eta: 21:13:15 time: 0.3054 data_time: 0.0260 memory: 8198 grad_norm: 5.9443 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2372 loss: 1.2372 2022/08/03 07:30:13 - mmengine - INFO - Epoch(train) [114][280/1879] lr: 1.0000e-03 eta: 21:13:09 time: 0.2860 data_time: 0.0199 memory: 8198 grad_norm: 5.7573 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2005 loss: 1.2005 2022/08/03 07:30:18 - mmengine - INFO - Epoch(train) [114][300/1879] lr: 1.0000e-03 eta: 21:13:03 time: 0.2806 data_time: 0.0219 memory: 8198 grad_norm: 6.0007 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3274 loss: 1.3274 2022/08/03 07:30:24 - mmengine - INFO - Epoch(train) [114][320/1879] lr: 1.0000e-03 eta: 21:12:58 time: 0.2856 data_time: 0.0226 memory: 8198 grad_norm: 5.9214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/08/03 07:30:30 - mmengine - INFO - Epoch(train) [114][340/1879] lr: 1.0000e-03 eta: 21:12:52 time: 0.2851 data_time: 0.0238 memory: 8198 grad_norm: 5.9809 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2500 loss: 1.2500 2022/08/03 07:30:36 - mmengine - INFO - Epoch(train) [114][360/1879] lr: 1.0000e-03 eta: 21:12:46 time: 0.2825 data_time: 0.0199 memory: 8198 grad_norm: 5.7781 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0395 loss: 1.0395 2022/08/03 07:30:41 - mmengine - INFO - Epoch(train) [114][380/1879] lr: 1.0000e-03 eta: 21:12:41 time: 0.2855 data_time: 0.0268 memory: 8198 grad_norm: 5.8037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1886 loss: 1.1886 2022/08/03 07:30:47 - mmengine - INFO - Epoch(train) [114][400/1879] lr: 1.0000e-03 eta: 21:12:35 time: 0.2875 data_time: 0.0267 memory: 8198 grad_norm: 5.9143 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3710 loss: 1.3710 2022/08/03 07:30:53 - mmengine - INFO - Epoch(train) [114][420/1879] lr: 1.0000e-03 eta: 21:12:29 time: 0.2844 data_time: 0.0260 memory: 8198 grad_norm: 5.8267 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0981 loss: 1.0981 2022/08/03 07:30:58 - mmengine - INFO - Epoch(train) [114][440/1879] lr: 1.0000e-03 eta: 21:12:24 time: 0.2841 data_time: 0.0250 memory: 8198 grad_norm: 5.7658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2012 loss: 1.2012 2022/08/03 07:31:04 - mmengine - INFO - Epoch(train) [114][460/1879] lr: 1.0000e-03 eta: 21:12:18 time: 0.2880 data_time: 0.0175 memory: 8198 grad_norm: 5.7256 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/08/03 07:31:10 - mmengine - INFO - Epoch(train) [114][480/1879] lr: 1.0000e-03 eta: 21:12:12 time: 0.2833 data_time: 0.0209 memory: 8198 grad_norm: 5.9193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0194 loss: 1.0194 2022/08/03 07:31:16 - mmengine - INFO - Epoch(train) [114][500/1879] lr: 1.0000e-03 eta: 21:12:07 time: 0.2852 data_time: 0.0208 memory: 8198 grad_norm: 5.8868 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1264 loss: 1.1264 2022/08/03 07:31:21 - mmengine - INFO - Epoch(train) [114][520/1879] lr: 1.0000e-03 eta: 21:12:01 time: 0.2827 data_time: 0.0211 memory: 8198 grad_norm: 5.9166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0582 loss: 1.0582 2022/08/03 07:31:27 - mmengine - INFO - Epoch(train) [114][540/1879] lr: 1.0000e-03 eta: 21:11:55 time: 0.2855 data_time: 0.0233 memory: 8198 grad_norm: 5.9021 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3327 loss: 1.3327 2022/08/03 07:31:33 - mmengine - INFO - Epoch(train) [114][560/1879] lr: 1.0000e-03 eta: 21:11:50 time: 0.2849 data_time: 0.0230 memory: 8198 grad_norm: 5.9987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/08/03 07:31:38 - mmengine - INFO - Epoch(train) [114][580/1879] lr: 1.0000e-03 eta: 21:11:44 time: 0.2834 data_time: 0.0203 memory: 8198 grad_norm: 5.8196 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1576 loss: 1.1576 2022/08/03 07:31:44 - mmengine - INFO - Epoch(train) [114][600/1879] lr: 1.0000e-03 eta: 21:11:38 time: 0.2910 data_time: 0.0235 memory: 8198 grad_norm: 5.8708 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0867 loss: 1.0867 2022/08/03 07:31:50 - mmengine - INFO - Epoch(train) [114][620/1879] lr: 1.0000e-03 eta: 21:11:33 time: 0.2824 data_time: 0.0199 memory: 8198 grad_norm: 5.7260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1792 loss: 1.1792 2022/08/03 07:31:56 - mmengine - INFO - Epoch(train) [114][640/1879] lr: 1.0000e-03 eta: 21:11:27 time: 0.2878 data_time: 0.0275 memory: 8198 grad_norm: 5.9347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9169 loss: 0.9169 2022/08/03 07:32:02 - mmengine - INFO - Epoch(train) [114][660/1879] lr: 1.0000e-03 eta: 21:11:22 time: 0.2976 data_time: 0.0177 memory: 8198 grad_norm: 5.9013 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1739 loss: 1.1739 2022/08/03 07:32:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:32:07 - mmengine - INFO - Epoch(train) [114][680/1879] lr: 1.0000e-03 eta: 21:11:16 time: 0.2827 data_time: 0.0226 memory: 8198 grad_norm: 5.9748 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1423 loss: 1.1423 2022/08/03 07:32:13 - mmengine - INFO - Epoch(train) [114][700/1879] lr: 1.0000e-03 eta: 21:11:10 time: 0.2856 data_time: 0.0246 memory: 8198 grad_norm: 5.7950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/08/03 07:32:19 - mmengine - INFO - Epoch(train) [114][720/1879] lr: 1.0000e-03 eta: 21:11:04 time: 0.2809 data_time: 0.0208 memory: 8198 grad_norm: 5.8298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/08/03 07:32:24 - mmengine - INFO - Epoch(train) [114][740/1879] lr: 1.0000e-03 eta: 21:10:59 time: 0.2829 data_time: 0.0228 memory: 8198 grad_norm: 5.8375 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0742 loss: 1.0742 2022/08/03 07:32:30 - mmengine - INFO - Epoch(train) [114][760/1879] lr: 1.0000e-03 eta: 21:10:53 time: 0.2831 data_time: 0.0256 memory: 8198 grad_norm: 5.8881 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3546 loss: 1.3546 2022/08/03 07:32:36 - mmengine - INFO - Epoch(train) [114][780/1879] lr: 1.0000e-03 eta: 21:10:47 time: 0.2877 data_time: 0.0206 memory: 8198 grad_norm: 5.8172 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2806 loss: 1.2806 2022/08/03 07:32:42 - mmengine - INFO - Epoch(train) [114][800/1879] lr: 1.0000e-03 eta: 21:10:42 time: 0.2848 data_time: 0.0286 memory: 8198 grad_norm: 5.7177 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1450 loss: 1.1450 2022/08/03 07:32:47 - mmengine - INFO - Epoch(train) [114][820/1879] lr: 1.0000e-03 eta: 21:10:36 time: 0.2918 data_time: 0.0192 memory: 8198 grad_norm: 5.7877 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2316 loss: 1.2316 2022/08/03 07:32:53 - mmengine - INFO - Epoch(train) [114][840/1879] lr: 1.0000e-03 eta: 21:10:30 time: 0.2845 data_time: 0.0235 memory: 8198 grad_norm: 5.8399 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3288 loss: 1.3288 2022/08/03 07:32:59 - mmengine - INFO - Epoch(train) [114][860/1879] lr: 1.0000e-03 eta: 21:10:25 time: 0.2854 data_time: 0.0266 memory: 8198 grad_norm: 5.8281 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0784 loss: 1.0784 2022/08/03 07:33:05 - mmengine - INFO - Epoch(train) [114][880/1879] lr: 1.0000e-03 eta: 21:10:19 time: 0.2936 data_time: 0.0210 memory: 8198 grad_norm: 5.9683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/08/03 07:33:10 - mmengine - INFO - Epoch(train) [114][900/1879] lr: 1.0000e-03 eta: 21:10:13 time: 0.2813 data_time: 0.0192 memory: 8198 grad_norm: 5.9443 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.2631 loss: 1.2631 2022/08/03 07:33:16 - mmengine - INFO - Epoch(train) [114][920/1879] lr: 1.0000e-03 eta: 21:10:08 time: 0.2851 data_time: 0.0280 memory: 8198 grad_norm: 5.7948 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/08/03 07:33:22 - mmengine - INFO - Epoch(train) [114][940/1879] lr: 1.0000e-03 eta: 21:10:02 time: 0.2836 data_time: 0.0230 memory: 8198 grad_norm: 5.9615 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0950 loss: 1.0950 2022/08/03 07:33:27 - mmengine - INFO - Epoch(train) [114][960/1879] lr: 1.0000e-03 eta: 21:09:56 time: 0.2837 data_time: 0.0231 memory: 8198 grad_norm: 5.9704 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1077 loss: 1.1077 2022/08/03 07:33:33 - mmengine - INFO - Epoch(train) [114][980/1879] lr: 1.0000e-03 eta: 21:09:51 time: 0.2872 data_time: 0.0183 memory: 8198 grad_norm: 5.9862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2748 loss: 1.2748 2022/08/03 07:33:39 - mmengine - INFO - Epoch(train) [114][1000/1879] lr: 1.0000e-03 eta: 21:09:45 time: 0.2838 data_time: 0.0224 memory: 8198 grad_norm: 5.9923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/08/03 07:33:45 - mmengine - INFO - Epoch(train) [114][1020/1879] lr: 1.0000e-03 eta: 21:09:39 time: 0.2803 data_time: 0.0226 memory: 8198 grad_norm: 5.8135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9967 loss: 0.9967 2022/08/03 07:33:50 - mmengine - INFO - Epoch(train) [114][1040/1879] lr: 1.0000e-03 eta: 21:09:34 time: 0.2840 data_time: 0.0224 memory: 8198 grad_norm: 6.0340 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0959 loss: 1.0959 2022/08/03 07:33:56 - mmengine - INFO - Epoch(train) [114][1060/1879] lr: 1.0000e-03 eta: 21:09:28 time: 0.2870 data_time: 0.0227 memory: 8198 grad_norm: 5.9648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/08/03 07:34:02 - mmengine - INFO - Epoch(train) [114][1080/1879] lr: 1.0000e-03 eta: 21:09:22 time: 0.2829 data_time: 0.0283 memory: 8198 grad_norm: 6.0171 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1925 loss: 1.1925 2022/08/03 07:34:07 - mmengine - INFO - Epoch(train) [114][1100/1879] lr: 1.0000e-03 eta: 21:09:16 time: 0.2850 data_time: 0.0287 memory: 8198 grad_norm: 6.0002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0654 loss: 1.0654 2022/08/03 07:34:13 - mmengine - INFO - Epoch(train) [114][1120/1879] lr: 1.0000e-03 eta: 21:09:11 time: 0.2865 data_time: 0.0211 memory: 8198 grad_norm: 6.0231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1367 loss: 1.1367 2022/08/03 07:34:19 - mmengine - INFO - Epoch(train) [114][1140/1879] lr: 1.0000e-03 eta: 21:09:05 time: 0.2835 data_time: 0.0249 memory: 8198 grad_norm: 6.0336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3023 loss: 1.3023 2022/08/03 07:34:25 - mmengine - INFO - Epoch(train) [114][1160/1879] lr: 1.0000e-03 eta: 21:08:59 time: 0.2840 data_time: 0.0253 memory: 8198 grad_norm: 5.9607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1450 loss: 1.1450 2022/08/03 07:34:30 - mmengine - INFO - Epoch(train) [114][1180/1879] lr: 1.0000e-03 eta: 21:08:54 time: 0.2799 data_time: 0.0168 memory: 8198 grad_norm: 5.8725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1386 loss: 1.1386 2022/08/03 07:34:36 - mmengine - INFO - Epoch(train) [114][1200/1879] lr: 1.0000e-03 eta: 21:08:48 time: 0.2856 data_time: 0.0219 memory: 8198 grad_norm: 5.8514 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1386 loss: 1.1386 2022/08/03 07:34:42 - mmengine - INFO - Epoch(train) [114][1220/1879] lr: 1.0000e-03 eta: 21:08:42 time: 0.2841 data_time: 0.0197 memory: 8198 grad_norm: 5.8993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1954 loss: 1.1954 2022/08/03 07:34:47 - mmengine - INFO - Epoch(train) [114][1240/1879] lr: 1.0000e-03 eta: 21:08:37 time: 0.2843 data_time: 0.0215 memory: 8198 grad_norm: 5.7149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/08/03 07:34:53 - mmengine - INFO - Epoch(train) [114][1260/1879] lr: 1.0000e-03 eta: 21:08:31 time: 0.2835 data_time: 0.0256 memory: 8198 grad_norm: 5.9040 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.0441 loss: 1.0441 2022/08/03 07:34:59 - mmengine - INFO - Epoch(train) [114][1280/1879] lr: 1.0000e-03 eta: 21:08:25 time: 0.2852 data_time: 0.0213 memory: 8198 grad_norm: 6.0966 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1219 loss: 1.1219 2022/08/03 07:35:05 - mmengine - INFO - Epoch(train) [114][1300/1879] lr: 1.0000e-03 eta: 21:08:20 time: 0.2958 data_time: 0.0172 memory: 8198 grad_norm: 5.8319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3479 loss: 1.3479 2022/08/03 07:35:10 - mmengine - INFO - Epoch(train) [114][1320/1879] lr: 1.0000e-03 eta: 21:08:14 time: 0.2823 data_time: 0.0216 memory: 8198 grad_norm: 5.9061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1666 loss: 1.1666 2022/08/03 07:35:16 - mmengine - INFO - Epoch(train) [114][1340/1879] lr: 1.0000e-03 eta: 21:08:09 time: 0.2978 data_time: 0.0230 memory: 8198 grad_norm: 5.7531 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1576 loss: 1.1576 2022/08/03 07:35:22 - mmengine - INFO - Epoch(train) [114][1360/1879] lr: 1.0000e-03 eta: 21:08:03 time: 0.2847 data_time: 0.0209 memory: 8198 grad_norm: 5.7649 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2447 loss: 1.2447 2022/08/03 07:35:28 - mmengine - INFO - Epoch(train) [114][1380/1879] lr: 1.0000e-03 eta: 21:07:57 time: 0.2847 data_time: 0.0250 memory: 8198 grad_norm: 5.8777 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1161 loss: 1.1161 2022/08/03 07:35:33 - mmengine - INFO - Epoch(train) [114][1400/1879] lr: 1.0000e-03 eta: 21:07:52 time: 0.2842 data_time: 0.0237 memory: 8198 grad_norm: 5.7747 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1174 loss: 1.1174 2022/08/03 07:35:39 - mmengine - INFO - Epoch(train) [114][1420/1879] lr: 1.0000e-03 eta: 21:07:46 time: 0.2801 data_time: 0.0193 memory: 8198 grad_norm: 6.0415 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1962 loss: 1.1962 2022/08/03 07:35:45 - mmengine - INFO - Epoch(train) [114][1440/1879] lr: 1.0000e-03 eta: 21:07:40 time: 0.2847 data_time: 0.0262 memory: 8198 grad_norm: 5.9230 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1034 loss: 1.1034 2022/08/03 07:35:50 - mmengine - INFO - Epoch(train) [114][1460/1879] lr: 1.0000e-03 eta: 21:07:34 time: 0.2846 data_time: 0.0267 memory: 8198 grad_norm: 5.9641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/08/03 07:35:56 - mmengine - INFO - Epoch(train) [114][1480/1879] lr: 1.0000e-03 eta: 21:07:29 time: 0.2849 data_time: 0.0213 memory: 8198 grad_norm: 5.8621 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0007 loss: 1.0007 2022/08/03 07:36:02 - mmengine - INFO - Epoch(train) [114][1500/1879] lr: 1.0000e-03 eta: 21:07:23 time: 0.2825 data_time: 0.0217 memory: 8198 grad_norm: 6.0049 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2324 loss: 1.2324 2022/08/03 07:36:08 - mmengine - INFO - Epoch(train) [114][1520/1879] lr: 1.0000e-03 eta: 21:07:17 time: 0.2859 data_time: 0.0276 memory: 8198 grad_norm: 5.9423 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0307 loss: 1.0307 2022/08/03 07:36:13 - mmengine - INFO - Epoch(train) [114][1540/1879] lr: 1.0000e-03 eta: 21:07:12 time: 0.2853 data_time: 0.0232 memory: 8198 grad_norm: 5.8320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/08/03 07:36:19 - mmengine - INFO - Epoch(train) [114][1560/1879] lr: 1.0000e-03 eta: 21:07:06 time: 0.2875 data_time: 0.0235 memory: 8198 grad_norm: 5.8094 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2131 loss: 1.2131 2022/08/03 07:36:25 - mmengine - INFO - Epoch(train) [114][1580/1879] lr: 1.0000e-03 eta: 21:07:00 time: 0.2880 data_time: 0.0214 memory: 8198 grad_norm: 5.9026 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0786 loss: 1.0786 2022/08/03 07:36:31 - mmengine - INFO - Epoch(train) [114][1600/1879] lr: 1.0000e-03 eta: 21:06:55 time: 0.2918 data_time: 0.0207 memory: 8198 grad_norm: 5.8365 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2208 loss: 1.2208 2022/08/03 07:36:36 - mmengine - INFO - Epoch(train) [114][1620/1879] lr: 1.0000e-03 eta: 21:06:49 time: 0.2816 data_time: 0.0220 memory: 8198 grad_norm: 5.9167 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2934 loss: 1.2934 2022/08/03 07:36:42 - mmengine - INFO - Epoch(train) [114][1640/1879] lr: 1.0000e-03 eta: 21:06:43 time: 0.2828 data_time: 0.0244 memory: 8198 grad_norm: 5.9580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2474 loss: 1.2474 2022/08/03 07:36:48 - mmengine - INFO - Epoch(train) [114][1660/1879] lr: 1.0000e-03 eta: 21:06:38 time: 0.2904 data_time: 0.0159 memory: 8198 grad_norm: 5.8132 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1124 loss: 1.1124 2022/08/03 07:36:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:36:54 - mmengine - INFO - Epoch(train) [114][1680/1879] lr: 1.0000e-03 eta: 21:06:32 time: 0.2852 data_time: 0.0224 memory: 8198 grad_norm: 5.9166 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0978 loss: 1.0978 2022/08/03 07:36:59 - mmengine - INFO - Epoch(train) [114][1700/1879] lr: 1.0000e-03 eta: 21:06:26 time: 0.2831 data_time: 0.0199 memory: 8198 grad_norm: 5.9899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0234 loss: 1.0234 2022/08/03 07:37:05 - mmengine - INFO - Epoch(train) [114][1720/1879] lr: 1.0000e-03 eta: 21:06:21 time: 0.2850 data_time: 0.0203 memory: 8198 grad_norm: 5.8438 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1272 loss: 1.1272 2022/08/03 07:37:11 - mmengine - INFO - Epoch(train) [114][1740/1879] lr: 1.0000e-03 eta: 21:06:15 time: 0.2836 data_time: 0.0210 memory: 8198 grad_norm: 5.9191 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2747 loss: 1.2747 2022/08/03 07:37:16 - mmengine - INFO - Epoch(train) [114][1760/1879] lr: 1.0000e-03 eta: 21:06:09 time: 0.2911 data_time: 0.0278 memory: 8198 grad_norm: 5.9359 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1879 loss: 1.1879 2022/08/03 07:37:22 - mmengine - INFO - Epoch(train) [114][1780/1879] lr: 1.0000e-03 eta: 21:06:04 time: 0.2842 data_time: 0.0185 memory: 8198 grad_norm: 5.8200 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2468 loss: 1.2468 2022/08/03 07:37:28 - mmengine - INFO - Epoch(train) [114][1800/1879] lr: 1.0000e-03 eta: 21:05:58 time: 0.2908 data_time: 0.0234 memory: 8198 grad_norm: 5.8046 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/08/03 07:37:34 - mmengine - INFO - Epoch(train) [114][1820/1879] lr: 1.0000e-03 eta: 21:05:52 time: 0.2820 data_time: 0.0214 memory: 8198 grad_norm: 5.8418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0698 loss: 1.0698 2022/08/03 07:37:39 - mmengine - INFO - Epoch(train) [114][1840/1879] lr: 1.0000e-03 eta: 21:05:47 time: 0.2841 data_time: 0.0234 memory: 8198 grad_norm: 6.0418 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0409 loss: 1.0409 2022/08/03 07:37:45 - mmengine - INFO - Epoch(train) [114][1860/1879] lr: 1.0000e-03 eta: 21:05:41 time: 0.2926 data_time: 0.0205 memory: 8198 grad_norm: 5.7081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0987 loss: 1.0987 2022/08/03 07:37:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:37:50 - mmengine - INFO - Epoch(train) [114][1879/1879] lr: 1.0000e-03 eta: 21:05:41 time: 0.2570 data_time: 0.0158 memory: 8198 grad_norm: 6.0948 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.2920 loss: 1.2920 2022/08/03 07:37:58 - mmengine - INFO - Epoch(train) [115][20/1879] lr: 1.0000e-03 eta: 21:05:26 time: 0.3992 data_time: 0.1122 memory: 8198 grad_norm: 5.9193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3676 loss: 1.3676 2022/08/03 07:38:04 - mmengine - INFO - Epoch(train) [115][40/1879] lr: 1.0000e-03 eta: 21:05:21 time: 0.3005 data_time: 0.0245 memory: 8198 grad_norm: 5.9745 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1481 loss: 1.1481 2022/08/03 07:38:10 - mmengine - INFO - Epoch(train) [115][60/1879] lr: 1.0000e-03 eta: 21:05:15 time: 0.2866 data_time: 0.0217 memory: 8198 grad_norm: 5.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/08/03 07:38:16 - mmengine - INFO - Epoch(train) [115][80/1879] lr: 1.0000e-03 eta: 21:05:10 time: 0.2861 data_time: 0.0238 memory: 8198 grad_norm: 6.0077 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1142 loss: 1.1142 2022/08/03 07:38:21 - mmengine - INFO - Epoch(train) [115][100/1879] lr: 1.0000e-03 eta: 21:05:04 time: 0.2912 data_time: 0.0226 memory: 8198 grad_norm: 5.9517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2379 loss: 1.2379 2022/08/03 07:38:27 - mmengine - INFO - Epoch(train) [115][120/1879] lr: 1.0000e-03 eta: 21:04:59 time: 0.2896 data_time: 0.0229 memory: 8198 grad_norm: 6.0422 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2169 loss: 1.2169 2022/08/03 07:38:33 - mmengine - INFO - Epoch(train) [115][140/1879] lr: 1.0000e-03 eta: 21:04:53 time: 0.2822 data_time: 0.0226 memory: 8198 grad_norm: 6.0695 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/08/03 07:38:39 - mmengine - INFO - Epoch(train) [115][160/1879] lr: 1.0000e-03 eta: 21:04:47 time: 0.2843 data_time: 0.0246 memory: 8198 grad_norm: 6.0709 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0801 loss: 1.0801 2022/08/03 07:38:44 - mmengine - INFO - Epoch(train) [115][180/1879] lr: 1.0000e-03 eta: 21:04:41 time: 0.2820 data_time: 0.0256 memory: 8198 grad_norm: 5.8948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2179 loss: 1.2179 2022/08/03 07:38:50 - mmengine - INFO - Epoch(train) [115][200/1879] lr: 1.0000e-03 eta: 21:04:36 time: 0.2874 data_time: 0.0201 memory: 8198 grad_norm: 5.9470 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0302 loss: 1.0302 2022/08/03 07:38:56 - mmengine - INFO - Epoch(train) [115][220/1879] lr: 1.0000e-03 eta: 21:04:30 time: 0.2903 data_time: 0.0233 memory: 8198 grad_norm: 6.1017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/08/03 07:39:02 - mmengine - INFO - Epoch(train) [115][240/1879] lr: 1.0000e-03 eta: 21:04:25 time: 0.2892 data_time: 0.0253 memory: 8198 grad_norm: 6.0796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0984 loss: 1.0984 2022/08/03 07:39:07 - mmengine - INFO - Epoch(train) [115][260/1879] lr: 1.0000e-03 eta: 21:04:19 time: 0.2887 data_time: 0.0228 memory: 8198 grad_norm: 5.8827 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0511 loss: 1.0511 2022/08/03 07:39:13 - mmengine - INFO - Epoch(train) [115][280/1879] lr: 1.0000e-03 eta: 21:04:13 time: 0.2893 data_time: 0.0292 memory: 8198 grad_norm: 5.8886 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1553 loss: 1.1553 2022/08/03 07:39:19 - mmengine - INFO - Epoch(train) [115][300/1879] lr: 1.0000e-03 eta: 21:04:08 time: 0.2843 data_time: 0.0207 memory: 8198 grad_norm: 5.8776 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2823 loss: 1.2823 2022/08/03 07:39:25 - mmengine - INFO - Epoch(train) [115][320/1879] lr: 1.0000e-03 eta: 21:04:02 time: 0.2824 data_time: 0.0224 memory: 8198 grad_norm: 5.8636 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1178 loss: 1.1178 2022/08/03 07:39:30 - mmengine - INFO - Epoch(train) [115][340/1879] lr: 1.0000e-03 eta: 21:03:56 time: 0.2817 data_time: 0.0215 memory: 8198 grad_norm: 5.9403 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3115 loss: 1.3115 2022/08/03 07:39:36 - mmengine - INFO - Epoch(train) [115][360/1879] lr: 1.0000e-03 eta: 21:03:51 time: 0.2950 data_time: 0.0242 memory: 8198 grad_norm: 5.6703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/08/03 07:39:42 - mmengine - INFO - Epoch(train) [115][380/1879] lr: 1.0000e-03 eta: 21:03:45 time: 0.2826 data_time: 0.0221 memory: 8198 grad_norm: 5.9645 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1311 loss: 1.1311 2022/08/03 07:39:48 - mmengine - INFO - Epoch(train) [115][400/1879] lr: 1.0000e-03 eta: 21:03:39 time: 0.2867 data_time: 0.0208 memory: 8198 grad_norm: 5.9214 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0904 loss: 1.0904 2022/08/03 07:39:53 - mmengine - INFO - Epoch(train) [115][420/1879] lr: 1.0000e-03 eta: 21:03:34 time: 0.2852 data_time: 0.0239 memory: 8198 grad_norm: 5.6828 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1774 loss: 1.1774 2022/08/03 07:39:59 - mmengine - INFO - Epoch(train) [115][440/1879] lr: 1.0000e-03 eta: 21:03:28 time: 0.2842 data_time: 0.0225 memory: 8198 grad_norm: 5.8678 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3681 loss: 1.3681 2022/08/03 07:40:05 - mmengine - INFO - Epoch(train) [115][460/1879] lr: 1.0000e-03 eta: 21:03:22 time: 0.2842 data_time: 0.0231 memory: 8198 grad_norm: 5.9894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2068 loss: 1.2068 2022/08/03 07:40:10 - mmengine - INFO - Epoch(train) [115][480/1879] lr: 1.0000e-03 eta: 21:03:17 time: 0.2832 data_time: 0.0203 memory: 8198 grad_norm: 5.8494 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2247 loss: 1.2247 2022/08/03 07:40:16 - mmengine - INFO - Epoch(train) [115][500/1879] lr: 1.0000e-03 eta: 21:03:11 time: 0.2825 data_time: 0.0192 memory: 8198 grad_norm: 5.8607 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1682 loss: 1.1682 2022/08/03 07:40:22 - mmengine - INFO - Epoch(train) [115][520/1879] lr: 1.0000e-03 eta: 21:03:05 time: 0.2806 data_time: 0.0187 memory: 8198 grad_norm: 5.9814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/08/03 07:40:27 - mmengine - INFO - Epoch(train) [115][540/1879] lr: 1.0000e-03 eta: 21:02:59 time: 0.2831 data_time: 0.0195 memory: 8198 grad_norm: 5.7825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1087 loss: 1.1087 2022/08/03 07:40:33 - mmengine - INFO - Epoch(train) [115][560/1879] lr: 1.0000e-03 eta: 21:02:54 time: 0.2873 data_time: 0.0269 memory: 8198 grad_norm: 5.7279 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/03 07:40:39 - mmengine - INFO - Epoch(train) [115][580/1879] lr: 1.0000e-03 eta: 21:02:48 time: 0.2846 data_time: 0.0247 memory: 8198 grad_norm: 5.8296 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/08/03 07:40:45 - mmengine - INFO - Epoch(train) [115][600/1879] lr: 1.0000e-03 eta: 21:02:42 time: 0.2849 data_time: 0.0254 memory: 8198 grad_norm: 5.9318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2826 loss: 1.2826 2022/08/03 07:40:50 - mmengine - INFO - Epoch(train) [115][620/1879] lr: 1.0000e-03 eta: 21:02:37 time: 0.2822 data_time: 0.0178 memory: 8198 grad_norm: 5.8765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1373 loss: 1.1373 2022/08/03 07:40:56 - mmengine - INFO - Epoch(train) [115][640/1879] lr: 1.0000e-03 eta: 21:02:31 time: 0.2890 data_time: 0.0274 memory: 8198 grad_norm: 5.8285 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2494 loss: 1.2494 2022/08/03 07:41:02 - mmengine - INFO - Epoch(train) [115][660/1879] lr: 1.0000e-03 eta: 21:02:25 time: 0.2815 data_time: 0.0200 memory: 8198 grad_norm: 5.9076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9650 loss: 0.9650 2022/08/03 07:41:07 - mmengine - INFO - Epoch(train) [115][680/1879] lr: 1.0000e-03 eta: 21:02:19 time: 0.2804 data_time: 0.0210 memory: 8198 grad_norm: 5.7715 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1749 loss: 1.1749 2022/08/03 07:41:13 - mmengine - INFO - Epoch(train) [115][700/1879] lr: 1.0000e-03 eta: 21:02:14 time: 0.2906 data_time: 0.0223 memory: 8198 grad_norm: 5.7771 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0552 loss: 1.0552 2022/08/03 07:41:19 - mmengine - INFO - Epoch(train) [115][720/1879] lr: 1.0000e-03 eta: 21:02:08 time: 0.2843 data_time: 0.0234 memory: 8198 grad_norm: 5.8336 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0234 loss: 1.0234 2022/08/03 07:41:25 - mmengine - INFO - Epoch(train) [115][740/1879] lr: 1.0000e-03 eta: 21:02:02 time: 0.2825 data_time: 0.0256 memory: 8198 grad_norm: 5.8956 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3572 loss: 1.3572 2022/08/03 07:41:30 - mmengine - INFO - Epoch(train) [115][760/1879] lr: 1.0000e-03 eta: 21:01:57 time: 0.2835 data_time: 0.0229 memory: 8198 grad_norm: 6.1265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2723 loss: 1.2723 2022/08/03 07:41:36 - mmengine - INFO - Epoch(train) [115][780/1879] lr: 1.0000e-03 eta: 21:01:51 time: 0.2956 data_time: 0.0186 memory: 8198 grad_norm: 5.9998 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/08/03 07:41:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:41:42 - mmengine - INFO - Epoch(train) [115][800/1879] lr: 1.0000e-03 eta: 21:01:46 time: 0.2810 data_time: 0.0226 memory: 8198 grad_norm: 5.9405 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1952 loss: 1.1952 2022/08/03 07:41:48 - mmengine - INFO - Epoch(train) [115][820/1879] lr: 1.0000e-03 eta: 21:01:40 time: 0.2854 data_time: 0.0208 memory: 8198 grad_norm: 5.7934 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1220 loss: 1.1220 2022/08/03 07:41:53 - mmengine - INFO - Epoch(train) [115][840/1879] lr: 1.0000e-03 eta: 21:01:34 time: 0.2858 data_time: 0.0196 memory: 8198 grad_norm: 5.9675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9906 loss: 0.9906 2022/08/03 07:41:59 - mmengine - INFO - Epoch(train) [115][860/1879] lr: 1.0000e-03 eta: 21:01:29 time: 0.2859 data_time: 0.0232 memory: 8198 grad_norm: 5.8005 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1399 loss: 1.1399 2022/08/03 07:42:05 - mmengine - INFO - Epoch(train) [115][880/1879] lr: 1.0000e-03 eta: 21:01:23 time: 0.2829 data_time: 0.0234 memory: 8198 grad_norm: 5.9211 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1382 loss: 1.1382 2022/08/03 07:42:10 - mmengine - INFO - Epoch(train) [115][900/1879] lr: 1.0000e-03 eta: 21:01:17 time: 0.2826 data_time: 0.0224 memory: 8198 grad_norm: 5.8150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0937 loss: 1.0937 2022/08/03 07:42:16 - mmengine - INFO - Epoch(train) [115][920/1879] lr: 1.0000e-03 eta: 21:01:11 time: 0.2846 data_time: 0.0299 memory: 8198 grad_norm: 6.3080 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1724 loss: 1.1724 2022/08/03 07:42:22 - mmengine - INFO - Epoch(train) [115][940/1879] lr: 1.0000e-03 eta: 21:01:06 time: 0.2846 data_time: 0.0230 memory: 8198 grad_norm: 5.8714 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1276 loss: 1.1276 2022/08/03 07:42:27 - mmengine - INFO - Epoch(train) [115][960/1879] lr: 1.0000e-03 eta: 21:01:00 time: 0.2829 data_time: 0.0227 memory: 8198 grad_norm: 5.9062 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2014 loss: 1.2014 2022/08/03 07:42:33 - mmengine - INFO - Epoch(train) [115][980/1879] lr: 1.0000e-03 eta: 21:00:54 time: 0.2803 data_time: 0.0206 memory: 8198 grad_norm: 5.9487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2370 loss: 1.2370 2022/08/03 07:42:39 - mmengine - INFO - Epoch(train) [115][1000/1879] lr: 1.0000e-03 eta: 21:00:48 time: 0.2845 data_time: 0.0259 memory: 8198 grad_norm: 5.9401 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1362 loss: 1.1362 2022/08/03 07:42:44 - mmengine - INFO - Epoch(train) [115][1020/1879] lr: 1.0000e-03 eta: 21:00:43 time: 0.2858 data_time: 0.0248 memory: 8198 grad_norm: 5.9059 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0661 loss: 1.0661 2022/08/03 07:42:50 - mmengine - INFO - Epoch(train) [115][1040/1879] lr: 1.0000e-03 eta: 21:00:37 time: 0.2841 data_time: 0.0206 memory: 8198 grad_norm: 5.6917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1287 loss: 1.1287 2022/08/03 07:42:56 - mmengine - INFO - Epoch(train) [115][1060/1879] lr: 1.0000e-03 eta: 21:00:31 time: 0.2830 data_time: 0.0238 memory: 8198 grad_norm: 5.8271 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/08/03 07:43:02 - mmengine - INFO - Epoch(train) [115][1080/1879] lr: 1.0000e-03 eta: 21:00:26 time: 0.2967 data_time: 0.0223 memory: 8198 grad_norm: 5.9420 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3175 loss: 1.3175 2022/08/03 07:43:07 - mmengine - INFO - Epoch(train) [115][1100/1879] lr: 1.0000e-03 eta: 21:00:20 time: 0.2828 data_time: 0.0246 memory: 8198 grad_norm: 6.0264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0448 loss: 1.0448 2022/08/03 07:43:14 - mmengine - INFO - Epoch(train) [115][1120/1879] lr: 1.0000e-03 eta: 21:00:16 time: 0.3245 data_time: 0.0209 memory: 8198 grad_norm: 6.0442 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3397 loss: 1.3397 2022/08/03 07:43:20 - mmengine - INFO - Epoch(train) [115][1140/1879] lr: 1.0000e-03 eta: 21:00:10 time: 0.2785 data_time: 0.0206 memory: 8198 grad_norm: 5.8727 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1342 loss: 1.1342 2022/08/03 07:43:25 - mmengine - INFO - Epoch(train) [115][1160/1879] lr: 1.0000e-03 eta: 21:00:04 time: 0.2823 data_time: 0.0237 memory: 8198 grad_norm: 5.9698 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2234 loss: 1.2234 2022/08/03 07:43:31 - mmengine - INFO - Epoch(train) [115][1180/1879] lr: 1.0000e-03 eta: 20:59:58 time: 0.2869 data_time: 0.0263 memory: 8198 grad_norm: 5.9873 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0567 loss: 1.0567 2022/08/03 07:43:37 - mmengine - INFO - Epoch(train) [115][1200/1879] lr: 1.0000e-03 eta: 20:59:53 time: 0.2823 data_time: 0.0208 memory: 8198 grad_norm: 5.9861 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0698 loss: 1.0698 2022/08/03 07:43:42 - mmengine - INFO - Epoch(train) [115][1220/1879] lr: 1.0000e-03 eta: 20:59:47 time: 0.2814 data_time: 0.0267 memory: 8198 grad_norm: 6.0365 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0523 loss: 1.0523 2022/08/03 07:43:48 - mmengine - INFO - Epoch(train) [115][1240/1879] lr: 1.0000e-03 eta: 20:59:41 time: 0.2827 data_time: 0.0222 memory: 8198 grad_norm: 5.8556 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1082 loss: 1.1082 2022/08/03 07:43:54 - mmengine - INFO - Epoch(train) [115][1260/1879] lr: 1.0000e-03 eta: 20:59:35 time: 0.2854 data_time: 0.0195 memory: 8198 grad_norm: 5.8607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1310 loss: 1.1310 2022/08/03 07:43:59 - mmengine - INFO - Epoch(train) [115][1280/1879] lr: 1.0000e-03 eta: 20:59:30 time: 0.2826 data_time: 0.0225 memory: 8198 grad_norm: 6.0372 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2465 loss: 1.2465 2022/08/03 07:44:05 - mmengine - INFO - Epoch(train) [115][1300/1879] lr: 1.0000e-03 eta: 20:59:24 time: 0.2910 data_time: 0.0265 memory: 8198 grad_norm: 5.9094 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2686 loss: 1.2686 2022/08/03 07:44:11 - mmengine - INFO - Epoch(train) [115][1320/1879] lr: 1.0000e-03 eta: 20:59:19 time: 0.2932 data_time: 0.0188 memory: 8198 grad_norm: 5.9012 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0490 loss: 1.0490 2022/08/03 07:44:17 - mmengine - INFO - Epoch(train) [115][1340/1879] lr: 1.0000e-03 eta: 20:59:13 time: 0.2796 data_time: 0.0246 memory: 8198 grad_norm: 5.9178 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0169 loss: 1.0169 2022/08/03 07:44:22 - mmengine - INFO - Epoch(train) [115][1360/1879] lr: 1.0000e-03 eta: 20:59:07 time: 0.2816 data_time: 0.0205 memory: 8198 grad_norm: 5.8638 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1825 loss: 1.1825 2022/08/03 07:44:28 - mmengine - INFO - Epoch(train) [115][1380/1879] lr: 1.0000e-03 eta: 20:59:01 time: 0.2872 data_time: 0.0236 memory: 8198 grad_norm: 5.9442 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/08/03 07:44:34 - mmengine - INFO - Epoch(train) [115][1400/1879] lr: 1.0000e-03 eta: 20:58:56 time: 0.2849 data_time: 0.0224 memory: 8198 grad_norm: 5.9520 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/08/03 07:44:40 - mmengine - INFO - Epoch(train) [115][1420/1879] lr: 1.0000e-03 eta: 20:58:50 time: 0.2828 data_time: 0.0215 memory: 8198 grad_norm: 5.9884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/08/03 07:44:45 - mmengine - INFO - Epoch(train) [115][1440/1879] lr: 1.0000e-03 eta: 20:58:44 time: 0.2843 data_time: 0.0222 memory: 8198 grad_norm: 5.9632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/08/03 07:44:51 - mmengine - INFO - Epoch(train) [115][1460/1879] lr: 1.0000e-03 eta: 20:58:39 time: 0.2858 data_time: 0.0223 memory: 8198 grad_norm: 5.8042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/08/03 07:44:57 - mmengine - INFO - Epoch(train) [115][1480/1879] lr: 1.0000e-03 eta: 20:58:33 time: 0.2837 data_time: 0.0247 memory: 8198 grad_norm: 6.0121 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1837 loss: 1.1837 2022/08/03 07:45:02 - mmengine - INFO - Epoch(train) [115][1500/1879] lr: 1.0000e-03 eta: 20:58:27 time: 0.2848 data_time: 0.0194 memory: 8198 grad_norm: 5.7153 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1722 loss: 1.1722 2022/08/03 07:45:08 - mmengine - INFO - Epoch(train) [115][1520/1879] lr: 1.0000e-03 eta: 20:58:22 time: 0.2830 data_time: 0.0190 memory: 8198 grad_norm: 5.9363 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/08/03 07:45:14 - mmengine - INFO - Epoch(train) [115][1540/1879] lr: 1.0000e-03 eta: 20:58:16 time: 0.2849 data_time: 0.0212 memory: 8198 grad_norm: 6.0160 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2644 loss: 1.2644 2022/08/03 07:45:20 - mmengine - INFO - Epoch(train) [115][1560/1879] lr: 1.0000e-03 eta: 20:58:10 time: 0.2869 data_time: 0.0239 memory: 8198 grad_norm: 5.8973 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1128 loss: 1.1128 2022/08/03 07:45:25 - mmengine - INFO - Epoch(train) [115][1580/1879] lr: 1.0000e-03 eta: 20:58:05 time: 0.2849 data_time: 0.0184 memory: 8198 grad_norm: 5.9838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/08/03 07:45:31 - mmengine - INFO - Epoch(train) [115][1600/1879] lr: 1.0000e-03 eta: 20:57:59 time: 0.2820 data_time: 0.0215 memory: 8198 grad_norm: 6.1021 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1961 loss: 1.1961 2022/08/03 07:45:37 - mmengine - INFO - Epoch(train) [115][1620/1879] lr: 1.0000e-03 eta: 20:57:53 time: 0.2862 data_time: 0.0227 memory: 8198 grad_norm: 5.9976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1186 loss: 1.1186 2022/08/03 07:45:42 - mmengine - INFO - Epoch(train) [115][1640/1879] lr: 1.0000e-03 eta: 20:57:47 time: 0.2839 data_time: 0.0246 memory: 8198 grad_norm: 5.9892 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1352 loss: 1.1352 2022/08/03 07:45:48 - mmengine - INFO - Epoch(train) [115][1660/1879] lr: 1.0000e-03 eta: 20:57:42 time: 0.2880 data_time: 0.0189 memory: 8198 grad_norm: 5.9056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2526 loss: 1.2526 2022/08/03 07:45:54 - mmengine - INFO - Epoch(train) [115][1680/1879] lr: 1.0000e-03 eta: 20:57:36 time: 0.2860 data_time: 0.0232 memory: 8198 grad_norm: 5.9972 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3904 loss: 1.3904 2022/08/03 07:46:00 - mmengine - INFO - Epoch(train) [115][1700/1879] lr: 1.0000e-03 eta: 20:57:30 time: 0.2833 data_time: 0.0225 memory: 8198 grad_norm: 6.0587 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3018 loss: 1.3018 2022/08/03 07:46:05 - mmengine - INFO - Epoch(train) [115][1720/1879] lr: 1.0000e-03 eta: 20:57:25 time: 0.2859 data_time: 0.0252 memory: 8198 grad_norm: 6.0602 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3121 loss: 1.3121 2022/08/03 07:46:11 - mmengine - INFO - Epoch(train) [115][1740/1879] lr: 1.0000e-03 eta: 20:57:19 time: 0.2815 data_time: 0.0228 memory: 8198 grad_norm: 5.9082 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1917 loss: 1.1917 2022/08/03 07:46:17 - mmengine - INFO - Epoch(train) [115][1760/1879] lr: 1.0000e-03 eta: 20:57:13 time: 0.2850 data_time: 0.0237 memory: 8198 grad_norm: 5.9121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/08/03 07:46:22 - mmengine - INFO - Epoch(train) [115][1780/1879] lr: 1.0000e-03 eta: 20:57:08 time: 0.2847 data_time: 0.0237 memory: 8198 grad_norm: 5.9914 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9670 loss: 0.9670 2022/08/03 07:46:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:46:28 - mmengine - INFO - Epoch(train) [115][1800/1879] lr: 1.0000e-03 eta: 20:57:02 time: 0.2845 data_time: 0.0242 memory: 8198 grad_norm: 5.8771 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1428 loss: 1.1428 2022/08/03 07:46:34 - mmengine - INFO - Epoch(train) [115][1820/1879] lr: 1.0000e-03 eta: 20:56:57 time: 0.2967 data_time: 0.0223 memory: 8198 grad_norm: 5.8209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1828 loss: 1.1828 2022/08/03 07:46:40 - mmengine - INFO - Epoch(train) [115][1840/1879] lr: 1.0000e-03 eta: 20:56:51 time: 0.2821 data_time: 0.0212 memory: 8198 grad_norm: 5.8902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1788 loss: 1.1788 2022/08/03 07:46:45 - mmengine - INFO - Epoch(train) [115][1860/1879] lr: 1.0000e-03 eta: 20:56:45 time: 0.2806 data_time: 0.0236 memory: 8198 grad_norm: 5.9535 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1113 loss: 1.1113 2022/08/03 07:46:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:46:50 - mmengine - INFO - Epoch(train) [115][1879/1879] lr: 1.0000e-03 eta: 20:56:45 time: 0.2646 data_time: 0.0197 memory: 8198 grad_norm: 6.2246 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2704 loss: 1.2704 2022/08/03 07:46:57 - mmengine - INFO - Epoch(val) [115][20/155] eta: 0:00:43 time: 0.3188 data_time: 0.2273 memory: 1514 2022/08/03 07:47:01 - mmengine - INFO - Epoch(val) [115][40/155] eta: 0:00:25 time: 0.2205 data_time: 0.1319 memory: 1514 2022/08/03 07:47:07 - mmengine - INFO - Epoch(val) [115][60/155] eta: 0:00:28 time: 0.2987 data_time: 0.2094 memory: 1514 2022/08/03 07:47:12 - mmengine - INFO - Epoch(val) [115][80/155] eta: 0:00:18 time: 0.2472 data_time: 0.1596 memory: 1514 2022/08/03 07:47:18 - mmengine - INFO - Epoch(val) [115][100/155] eta: 0:00:15 time: 0.2858 data_time: 0.1960 memory: 1514 2022/08/03 07:47:22 - mmengine - INFO - Epoch(val) [115][120/155] eta: 0:00:07 time: 0.2249 data_time: 0.1403 memory: 1514 2022/08/03 07:47:28 - mmengine - INFO - Epoch(val) [115][140/155] eta: 0:00:04 time: 0.3071 data_time: 0.2201 memory: 1514 2022/08/03 07:47:34 - mmengine - INFO - Epoch(val) [115][155/155] acc/top1: 0.6809 acc/top5: 0.8701 acc/mean1: 0.6808 2022/08/03 07:47:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_111.pth is removed 2022/08/03 07:47:36 - mmengine - INFO - The best checkpoint with 0.6809 acc/top1 at 116 epoch is saved to best_acc/top1_epoch_116.pth. 2022/08/03 07:47:44 - mmengine - INFO - Epoch(train) [116][20/1879] lr: 1.0000e-03 eta: 20:56:29 time: 0.3706 data_time: 0.1073 memory: 8198 grad_norm: 5.8136 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/08/03 07:47:49 - mmengine - INFO - Epoch(train) [116][40/1879] lr: 1.0000e-03 eta: 20:56:24 time: 0.2832 data_time: 0.0193 memory: 8198 grad_norm: 5.9914 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2568 loss: 1.2568 2022/08/03 07:47:55 - mmengine - INFO - Epoch(train) [116][60/1879] lr: 1.0000e-03 eta: 20:56:18 time: 0.2927 data_time: 0.0246 memory: 8198 grad_norm: 5.9007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1595 loss: 1.1595 2022/08/03 07:48:01 - mmengine - INFO - Epoch(train) [116][80/1879] lr: 1.0000e-03 eta: 20:56:12 time: 0.2808 data_time: 0.0186 memory: 8198 grad_norm: 5.9435 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2152 loss: 1.2152 2022/08/03 07:48:07 - mmengine - INFO - Epoch(train) [116][100/1879] lr: 1.0000e-03 eta: 20:56:07 time: 0.2879 data_time: 0.0235 memory: 8198 grad_norm: 5.9574 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2001 loss: 1.2001 2022/08/03 07:48:12 - mmengine - INFO - Epoch(train) [116][120/1879] lr: 1.0000e-03 eta: 20:56:01 time: 0.2859 data_time: 0.0283 memory: 8198 grad_norm: 5.9158 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0026 loss: 1.0026 2022/08/03 07:48:18 - mmengine - INFO - Epoch(train) [116][140/1879] lr: 1.0000e-03 eta: 20:55:55 time: 0.2832 data_time: 0.0208 memory: 8198 grad_norm: 5.9257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0472 loss: 1.0472 2022/08/03 07:48:24 - mmengine - INFO - Epoch(train) [116][160/1879] lr: 1.0000e-03 eta: 20:55:50 time: 0.2814 data_time: 0.0281 memory: 8198 grad_norm: 5.9921 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3044 loss: 1.3044 2022/08/03 07:48:29 - mmengine - INFO - Epoch(train) [116][180/1879] lr: 1.0000e-03 eta: 20:55:44 time: 0.2836 data_time: 0.0242 memory: 8198 grad_norm: 6.0611 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3219 loss: 1.3219 2022/08/03 07:48:35 - mmengine - INFO - Epoch(train) [116][200/1879] lr: 1.0000e-03 eta: 20:55:38 time: 0.2863 data_time: 0.0232 memory: 8198 grad_norm: 5.8814 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1617 loss: 1.1617 2022/08/03 07:48:41 - mmengine - INFO - Epoch(train) [116][220/1879] lr: 1.0000e-03 eta: 20:55:33 time: 0.2837 data_time: 0.0247 memory: 8198 grad_norm: 5.9331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/08/03 07:48:47 - mmengine - INFO - Epoch(train) [116][240/1879] lr: 1.0000e-03 eta: 20:55:27 time: 0.2872 data_time: 0.0236 memory: 8198 grad_norm: 6.0688 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2425 loss: 1.2425 2022/08/03 07:48:52 - mmengine - INFO - Epoch(train) [116][260/1879] lr: 1.0000e-03 eta: 20:55:21 time: 0.2861 data_time: 0.0246 memory: 8198 grad_norm: 5.9368 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1807 loss: 1.1807 2022/08/03 07:48:58 - mmengine - INFO - Epoch(train) [116][280/1879] lr: 1.0000e-03 eta: 20:55:16 time: 0.2859 data_time: 0.0208 memory: 8198 grad_norm: 6.1200 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2518 loss: 1.2518 2022/08/03 07:49:04 - mmengine - INFO - Epoch(train) [116][300/1879] lr: 1.0000e-03 eta: 20:55:10 time: 0.2805 data_time: 0.0233 memory: 8198 grad_norm: 5.8489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1423 loss: 1.1423 2022/08/03 07:49:09 - mmengine - INFO - Epoch(train) [116][320/1879] lr: 1.0000e-03 eta: 20:55:04 time: 0.2799 data_time: 0.0211 memory: 8198 grad_norm: 6.0956 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2439 loss: 1.2439 2022/08/03 07:49:15 - mmengine - INFO - Epoch(train) [116][340/1879] lr: 1.0000e-03 eta: 20:54:58 time: 0.2867 data_time: 0.0266 memory: 8198 grad_norm: 5.8238 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0442 loss: 1.0442 2022/08/03 07:49:21 - mmengine - INFO - Epoch(train) [116][360/1879] lr: 1.0000e-03 eta: 20:54:53 time: 0.2869 data_time: 0.0176 memory: 8198 grad_norm: 5.9811 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1515 loss: 1.1515 2022/08/03 07:49:26 - mmengine - INFO - Epoch(train) [116][380/1879] lr: 1.0000e-03 eta: 20:54:47 time: 0.2828 data_time: 0.0210 memory: 8198 grad_norm: 6.0378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1905 loss: 1.1905 2022/08/03 07:49:32 - mmengine - INFO - Epoch(train) [116][400/1879] lr: 1.0000e-03 eta: 20:54:41 time: 0.2807 data_time: 0.0204 memory: 8198 grad_norm: 6.0043 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4333 loss: 1.4333 2022/08/03 07:49:38 - mmengine - INFO - Epoch(train) [116][420/1879] lr: 1.0000e-03 eta: 20:54:36 time: 0.2885 data_time: 0.0260 memory: 8198 grad_norm: 5.9148 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2519 loss: 1.2519 2022/08/03 07:49:44 - mmengine - INFO - Epoch(train) [116][440/1879] lr: 1.0000e-03 eta: 20:54:30 time: 0.2907 data_time: 0.0317 memory: 8198 grad_norm: 6.1019 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1274 loss: 1.1274 2022/08/03 07:49:49 - mmengine - INFO - Epoch(train) [116][460/1879] lr: 1.0000e-03 eta: 20:54:24 time: 0.2817 data_time: 0.0208 memory: 8198 grad_norm: 5.8774 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1420 loss: 1.1420 2022/08/03 07:49:55 - mmengine - INFO - Epoch(train) [116][480/1879] lr: 1.0000e-03 eta: 20:54:19 time: 0.2883 data_time: 0.0231 memory: 8198 grad_norm: 5.7765 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/08/03 07:50:01 - mmengine - INFO - Epoch(train) [116][500/1879] lr: 1.0000e-03 eta: 20:54:13 time: 0.2863 data_time: 0.0255 memory: 8198 grad_norm: 5.9167 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1693 loss: 1.1693 2022/08/03 07:50:07 - mmengine - INFO - Epoch(train) [116][520/1879] lr: 1.0000e-03 eta: 20:54:07 time: 0.2837 data_time: 0.0238 memory: 8198 grad_norm: 5.7991 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2586 loss: 1.2586 2022/08/03 07:50:12 - mmengine - INFO - Epoch(train) [116][540/1879] lr: 1.0000e-03 eta: 20:54:02 time: 0.2846 data_time: 0.0233 memory: 8198 grad_norm: 5.7819 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1311 loss: 1.1311 2022/08/03 07:50:18 - mmengine - INFO - Epoch(train) [116][560/1879] lr: 1.0000e-03 eta: 20:53:56 time: 0.2849 data_time: 0.0235 memory: 8198 grad_norm: 6.0843 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1727 loss: 1.1727 2022/08/03 07:50:24 - mmengine - INFO - Epoch(train) [116][580/1879] lr: 1.0000e-03 eta: 20:53:50 time: 0.2859 data_time: 0.0234 memory: 8198 grad_norm: 5.8075 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0953 loss: 1.0953 2022/08/03 07:50:29 - mmengine - INFO - Epoch(train) [116][600/1879] lr: 1.0000e-03 eta: 20:53:45 time: 0.2817 data_time: 0.0230 memory: 8198 grad_norm: 5.8149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9591 loss: 0.9591 2022/08/03 07:50:35 - mmengine - INFO - Epoch(train) [116][620/1879] lr: 1.0000e-03 eta: 20:53:39 time: 0.2861 data_time: 0.0232 memory: 8198 grad_norm: 6.0463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1902 loss: 1.1902 2022/08/03 07:50:41 - mmengine - INFO - Epoch(train) [116][640/1879] lr: 1.0000e-03 eta: 20:53:33 time: 0.2842 data_time: 0.0213 memory: 8198 grad_norm: 5.7178 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9887 loss: 0.9887 2022/08/03 07:50:47 - mmengine - INFO - Epoch(train) [116][660/1879] lr: 1.0000e-03 eta: 20:53:28 time: 0.2884 data_time: 0.0246 memory: 8198 grad_norm: 6.0306 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/08/03 07:50:52 - mmengine - INFO - Epoch(train) [116][680/1879] lr: 1.0000e-03 eta: 20:53:22 time: 0.2809 data_time: 0.0196 memory: 8198 grad_norm: 5.9013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3355 loss: 1.3355 2022/08/03 07:50:58 - mmengine - INFO - Epoch(train) [116][700/1879] lr: 1.0000e-03 eta: 20:53:16 time: 0.2854 data_time: 0.0246 memory: 8198 grad_norm: 5.8523 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0635 loss: 1.0635 2022/08/03 07:51:04 - mmengine - INFO - Epoch(train) [116][720/1879] lr: 1.0000e-03 eta: 20:53:10 time: 0.2821 data_time: 0.0223 memory: 8198 grad_norm: 6.1893 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1993 loss: 1.1993 2022/08/03 07:51:09 - mmengine - INFO - Epoch(train) [116][740/1879] lr: 1.0000e-03 eta: 20:53:05 time: 0.2827 data_time: 0.0199 memory: 8198 grad_norm: 5.8462 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2369 loss: 1.2369 2022/08/03 07:51:15 - mmengine - INFO - Epoch(train) [116][760/1879] lr: 1.0000e-03 eta: 20:52:59 time: 0.2870 data_time: 0.0218 memory: 8198 grad_norm: 5.9655 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1018 loss: 1.1018 2022/08/03 07:51:21 - mmengine - INFO - Epoch(train) [116][780/1879] lr: 1.0000e-03 eta: 20:52:53 time: 0.2883 data_time: 0.0258 memory: 8198 grad_norm: 6.0695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2745 loss: 1.2745 2022/08/03 07:51:27 - mmengine - INFO - Epoch(train) [116][800/1879] lr: 1.0000e-03 eta: 20:52:48 time: 0.2846 data_time: 0.0225 memory: 8198 grad_norm: 5.6256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/08/03 07:51:32 - mmengine - INFO - Epoch(train) [116][820/1879] lr: 1.0000e-03 eta: 20:52:42 time: 0.2846 data_time: 0.0251 memory: 8198 grad_norm: 5.9912 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2328 loss: 1.2328 2022/08/03 07:51:38 - mmengine - INFO - Epoch(train) [116][840/1879] lr: 1.0000e-03 eta: 20:52:36 time: 0.2817 data_time: 0.0232 memory: 8198 grad_norm: 6.0965 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0901 loss: 1.0901 2022/08/03 07:51:44 - mmengine - INFO - Epoch(train) [116][860/1879] lr: 1.0000e-03 eta: 20:52:31 time: 0.2846 data_time: 0.0255 memory: 8198 grad_norm: 6.0297 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1107 loss: 1.1107 2022/08/03 07:51:49 - mmengine - INFO - Epoch(train) [116][880/1879] lr: 1.0000e-03 eta: 20:52:25 time: 0.2819 data_time: 0.0209 memory: 8198 grad_norm: 5.8110 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1596 loss: 1.1596 2022/08/03 07:51:55 - mmengine - INFO - Epoch(train) [116][900/1879] lr: 1.0000e-03 eta: 20:52:19 time: 0.2973 data_time: 0.0273 memory: 8198 grad_norm: 5.9987 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1121 loss: 1.1121 2022/08/03 07:51:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:52:01 - mmengine - INFO - Epoch(train) [116][920/1879] lr: 1.0000e-03 eta: 20:52:14 time: 0.2816 data_time: 0.0252 memory: 8198 grad_norm: 5.9265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/08/03 07:52:07 - mmengine - INFO - Epoch(train) [116][940/1879] lr: 1.0000e-03 eta: 20:52:08 time: 0.2827 data_time: 0.0215 memory: 8198 grad_norm: 5.9060 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2513 loss: 1.2513 2022/08/03 07:52:12 - mmengine - INFO - Epoch(train) [116][960/1879] lr: 1.0000e-03 eta: 20:52:02 time: 0.2804 data_time: 0.0207 memory: 8198 grad_norm: 5.9563 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2114 loss: 1.2114 2022/08/03 07:52:18 - mmengine - INFO - Epoch(train) [116][980/1879] lr: 1.0000e-03 eta: 20:51:56 time: 0.2848 data_time: 0.0218 memory: 8198 grad_norm: 5.9304 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.2482 loss: 1.2482 2022/08/03 07:52:24 - mmengine - INFO - Epoch(train) [116][1000/1879] lr: 1.0000e-03 eta: 20:51:51 time: 0.2841 data_time: 0.0212 memory: 8198 grad_norm: 6.1149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/08/03 07:52:29 - mmengine - INFO - Epoch(train) [116][1020/1879] lr: 1.0000e-03 eta: 20:51:45 time: 0.2820 data_time: 0.0271 memory: 8198 grad_norm: 5.8375 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/08/03 07:52:35 - mmengine - INFO - Epoch(train) [116][1040/1879] lr: 1.0000e-03 eta: 20:51:39 time: 0.2862 data_time: 0.0241 memory: 8198 grad_norm: 5.8385 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0161 loss: 1.0161 2022/08/03 07:52:41 - mmengine - INFO - Epoch(train) [116][1060/1879] lr: 1.0000e-03 eta: 20:51:34 time: 0.2840 data_time: 0.0194 memory: 8198 grad_norm: 6.0164 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3878 loss: 1.3878 2022/08/03 07:52:46 - mmengine - INFO - Epoch(train) [116][1080/1879] lr: 1.0000e-03 eta: 20:51:28 time: 0.2813 data_time: 0.0219 memory: 8198 grad_norm: 5.9412 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9988 loss: 0.9988 2022/08/03 07:52:52 - mmengine - INFO - Epoch(train) [116][1100/1879] lr: 1.0000e-03 eta: 20:51:22 time: 0.2832 data_time: 0.0233 memory: 8198 grad_norm: 5.9790 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1461 loss: 1.1461 2022/08/03 07:52:58 - mmengine - INFO - Epoch(train) [116][1120/1879] lr: 1.0000e-03 eta: 20:51:16 time: 0.2854 data_time: 0.0237 memory: 8198 grad_norm: 5.8529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/08/03 07:53:03 - mmengine - INFO - Epoch(train) [116][1140/1879] lr: 1.0000e-03 eta: 20:51:11 time: 0.2813 data_time: 0.0218 memory: 8198 grad_norm: 6.0530 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1977 loss: 1.1977 2022/08/03 07:53:09 - mmengine - INFO - Epoch(train) [116][1160/1879] lr: 1.0000e-03 eta: 20:51:05 time: 0.2833 data_time: 0.0201 memory: 8198 grad_norm: 5.9644 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2264 loss: 1.2264 2022/08/03 07:53:15 - mmengine - INFO - Epoch(train) [116][1180/1879] lr: 1.0000e-03 eta: 20:50:59 time: 0.2885 data_time: 0.0245 memory: 8198 grad_norm: 5.8700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2242 loss: 1.2242 2022/08/03 07:53:21 - mmengine - INFO - Epoch(train) [116][1200/1879] lr: 1.0000e-03 eta: 20:50:54 time: 0.2829 data_time: 0.0218 memory: 8198 grad_norm: 5.8277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0430 loss: 1.0430 2022/08/03 07:53:26 - mmengine - INFO - Epoch(train) [116][1220/1879] lr: 1.0000e-03 eta: 20:50:48 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 6.0344 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/08/03 07:53:32 - mmengine - INFO - Epoch(train) [116][1240/1879] lr: 1.0000e-03 eta: 20:50:42 time: 0.2850 data_time: 0.0227 memory: 8198 grad_norm: 5.8662 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2550 loss: 1.2550 2022/08/03 07:53:38 - mmengine - INFO - Epoch(train) [116][1260/1879] lr: 1.0000e-03 eta: 20:50:37 time: 0.2851 data_time: 0.0203 memory: 8198 grad_norm: 6.0015 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3058 loss: 1.3058 2022/08/03 07:53:43 - mmengine - INFO - Epoch(train) [116][1280/1879] lr: 1.0000e-03 eta: 20:50:31 time: 0.2835 data_time: 0.0234 memory: 8198 grad_norm: 6.0005 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/08/03 07:53:49 - mmengine - INFO - Epoch(train) [116][1300/1879] lr: 1.0000e-03 eta: 20:50:25 time: 0.2855 data_time: 0.0268 memory: 8198 grad_norm: 6.0472 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2277 loss: 1.2277 2022/08/03 07:53:55 - mmengine - INFO - Epoch(train) [116][1320/1879] lr: 1.0000e-03 eta: 20:50:20 time: 0.2918 data_time: 0.0196 memory: 8198 grad_norm: 6.0212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/08/03 07:54:01 - mmengine - INFO - Epoch(train) [116][1340/1879] lr: 1.0000e-03 eta: 20:50:14 time: 0.2832 data_time: 0.0195 memory: 8198 grad_norm: 6.1752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/08/03 07:54:06 - mmengine - INFO - Epoch(train) [116][1360/1879] lr: 1.0000e-03 eta: 20:50:08 time: 0.2885 data_time: 0.0198 memory: 8198 grad_norm: 6.0079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1433 loss: 1.1433 2022/08/03 07:54:12 - mmengine - INFO - Epoch(train) [116][1380/1879] lr: 1.0000e-03 eta: 20:50:03 time: 0.2832 data_time: 0.0223 memory: 8198 grad_norm: 5.9462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1696 loss: 1.1696 2022/08/03 07:54:18 - mmengine - INFO - Epoch(train) [116][1400/1879] lr: 1.0000e-03 eta: 20:49:57 time: 0.2816 data_time: 0.0210 memory: 8198 grad_norm: 5.8646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/08/03 07:54:23 - mmengine - INFO - Epoch(train) [116][1420/1879] lr: 1.0000e-03 eta: 20:49:51 time: 0.2822 data_time: 0.0253 memory: 8198 grad_norm: 5.9499 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0653 loss: 1.0653 2022/08/03 07:54:29 - mmengine - INFO - Epoch(train) [116][1440/1879] lr: 1.0000e-03 eta: 20:49:46 time: 0.2968 data_time: 0.0215 memory: 8198 grad_norm: 5.9305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3095 loss: 1.3095 2022/08/03 07:54:35 - mmengine - INFO - Epoch(train) [116][1460/1879] lr: 1.0000e-03 eta: 20:49:40 time: 0.2827 data_time: 0.0236 memory: 8198 grad_norm: 5.9240 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1229 loss: 1.1229 2022/08/03 07:54:41 - mmengine - INFO - Epoch(train) [116][1480/1879] lr: 1.0000e-03 eta: 20:49:34 time: 0.2809 data_time: 0.0236 memory: 8198 grad_norm: 5.7709 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2242 loss: 1.2242 2022/08/03 07:54:46 - mmengine - INFO - Epoch(train) [116][1500/1879] lr: 1.0000e-03 eta: 20:49:29 time: 0.2896 data_time: 0.0225 memory: 8198 grad_norm: 5.9477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2984 loss: 1.2984 2022/08/03 07:54:52 - mmengine - INFO - Epoch(train) [116][1520/1879] lr: 1.0000e-03 eta: 20:49:23 time: 0.2809 data_time: 0.0187 memory: 8198 grad_norm: 5.8927 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1255 loss: 1.1255 2022/08/03 07:54:58 - mmengine - INFO - Epoch(train) [116][1540/1879] lr: 1.0000e-03 eta: 20:49:17 time: 0.2874 data_time: 0.0205 memory: 8198 grad_norm: 5.9820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1671 loss: 1.1671 2022/08/03 07:55:04 - mmengine - INFO - Epoch(train) [116][1560/1879] lr: 1.0000e-03 eta: 20:49:12 time: 0.2860 data_time: 0.0259 memory: 8198 grad_norm: 5.8634 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1723 loss: 1.1723 2022/08/03 07:55:09 - mmengine - INFO - Epoch(train) [116][1580/1879] lr: 1.0000e-03 eta: 20:49:06 time: 0.2862 data_time: 0.0267 memory: 8198 grad_norm: 5.7680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/08/03 07:55:15 - mmengine - INFO - Epoch(train) [116][1600/1879] lr: 1.0000e-03 eta: 20:49:00 time: 0.2877 data_time: 0.0206 memory: 8198 grad_norm: 5.9110 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0098 loss: 1.0098 2022/08/03 07:55:21 - mmengine - INFO - Epoch(train) [116][1620/1879] lr: 1.0000e-03 eta: 20:48:55 time: 0.2830 data_time: 0.0277 memory: 8198 grad_norm: 5.9897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3441 loss: 1.3441 2022/08/03 07:55:26 - mmengine - INFO - Epoch(train) [116][1640/1879] lr: 1.0000e-03 eta: 20:48:49 time: 0.2824 data_time: 0.0187 memory: 8198 grad_norm: 6.0591 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1395 loss: 1.1395 2022/08/03 07:55:32 - mmengine - INFO - Epoch(train) [116][1660/1879] lr: 1.0000e-03 eta: 20:48:43 time: 0.2836 data_time: 0.0206 memory: 8198 grad_norm: 6.1262 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3341 loss: 1.3341 2022/08/03 07:55:38 - mmengine - INFO - Epoch(train) [116][1680/1879] lr: 1.0000e-03 eta: 20:48:37 time: 0.2841 data_time: 0.0177 memory: 8198 grad_norm: 5.8014 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0509 loss: 1.0509 2022/08/03 07:55:44 - mmengine - INFO - Epoch(train) [116][1700/1879] lr: 1.0000e-03 eta: 20:48:32 time: 0.2974 data_time: 0.0221 memory: 8198 grad_norm: 5.9398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2721 loss: 1.2721 2022/08/03 07:55:50 - mmengine - INFO - Epoch(train) [116][1720/1879] lr: 1.0000e-03 eta: 20:48:26 time: 0.2837 data_time: 0.0236 memory: 8198 grad_norm: 5.9323 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0451 loss: 1.0451 2022/08/03 07:55:55 - mmengine - INFO - Epoch(train) [116][1740/1879] lr: 1.0000e-03 eta: 20:48:21 time: 0.2831 data_time: 0.0223 memory: 8198 grad_norm: 5.9695 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1758 loss: 1.1758 2022/08/03 07:56:01 - mmengine - INFO - Epoch(train) [116][1760/1879] lr: 1.0000e-03 eta: 20:48:15 time: 0.2826 data_time: 0.0205 memory: 8198 grad_norm: 5.9734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2621 loss: 1.2621 2022/08/03 07:56:07 - mmengine - INFO - Epoch(train) [116][1780/1879] lr: 1.0000e-03 eta: 20:48:09 time: 0.2870 data_time: 0.0221 memory: 8198 grad_norm: 6.2251 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2486 loss: 1.2486 2022/08/03 07:56:12 - mmengine - INFO - Epoch(train) [116][1800/1879] lr: 1.0000e-03 eta: 20:48:04 time: 0.2818 data_time: 0.0214 memory: 8198 grad_norm: 6.0198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0392 loss: 1.0392 2022/08/03 07:56:18 - mmengine - INFO - Epoch(train) [116][1820/1879] lr: 1.0000e-03 eta: 20:47:58 time: 0.2873 data_time: 0.0192 memory: 8198 grad_norm: 6.1243 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2145 loss: 1.2145 2022/08/03 07:56:24 - mmengine - INFO - Epoch(train) [116][1840/1879] lr: 1.0000e-03 eta: 20:47:52 time: 0.2822 data_time: 0.0214 memory: 8198 grad_norm: 6.0612 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2416 loss: 1.2416 2022/08/03 07:56:30 - mmengine - INFO - Epoch(train) [116][1860/1879] lr: 1.0000e-03 eta: 20:47:47 time: 0.2910 data_time: 0.0236 memory: 8198 grad_norm: 6.0607 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9869 loss: 0.9869 2022/08/03 07:56:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:56:34 - mmengine - INFO - Epoch(train) [116][1879/1879] lr: 1.0000e-03 eta: 20:47:47 time: 0.2557 data_time: 0.0180 memory: 8198 grad_norm: 6.0854 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/08/03 07:56:34 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/08/03 07:56:44 - mmengine - INFO - Epoch(train) [117][20/1879] lr: 1.0000e-03 eta: 20:47:31 time: 0.3789 data_time: 0.1166 memory: 8198 grad_norm: 5.8594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1965 loss: 1.1965 2022/08/03 07:56:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 07:56:51 - mmengine - INFO - Epoch(train) [117][40/1879] lr: 1.0000e-03 eta: 20:47:27 time: 0.3610 data_time: 0.0214 memory: 8198 grad_norm: 6.1053 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/08/03 07:56:57 - mmengine - INFO - Epoch(train) [117][60/1879] lr: 1.0000e-03 eta: 20:47:22 time: 0.3010 data_time: 0.0195 memory: 8198 grad_norm: 5.9568 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2852 loss: 1.2852 2022/08/03 07:57:03 - mmengine - INFO - Epoch(train) [117][80/1879] lr: 1.0000e-03 eta: 20:47:16 time: 0.2853 data_time: 0.0233 memory: 8198 grad_norm: 5.7274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2104 loss: 1.2104 2022/08/03 07:57:09 - mmengine - INFO - Epoch(train) [117][100/1879] lr: 1.0000e-03 eta: 20:47:11 time: 0.2909 data_time: 0.0234 memory: 8198 grad_norm: 5.9210 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1068 loss: 1.1068 2022/08/03 07:57:15 - mmengine - INFO - Epoch(train) [117][120/1879] lr: 1.0000e-03 eta: 20:47:05 time: 0.2896 data_time: 0.0220 memory: 8198 grad_norm: 6.0915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0313 loss: 1.0313 2022/08/03 07:57:20 - mmengine - INFO - Epoch(train) [117][140/1879] lr: 1.0000e-03 eta: 20:47:00 time: 0.2852 data_time: 0.0248 memory: 8198 grad_norm: 5.8594 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0296 loss: 1.0296 2022/08/03 07:57:26 - mmengine - INFO - Epoch(train) [117][160/1879] lr: 1.0000e-03 eta: 20:46:54 time: 0.2839 data_time: 0.0215 memory: 8198 grad_norm: 5.7462 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1027 loss: 1.1027 2022/08/03 07:57:32 - mmengine - INFO - Epoch(train) [117][180/1879] lr: 1.0000e-03 eta: 20:46:48 time: 0.2822 data_time: 0.0213 memory: 8198 grad_norm: 5.9157 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1039 loss: 1.1039 2022/08/03 07:57:38 - mmengine - INFO - Epoch(train) [117][200/1879] lr: 1.0000e-03 eta: 20:46:43 time: 0.3006 data_time: 0.0177 memory: 8198 grad_norm: 5.9474 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/08/03 07:57:43 - mmengine - INFO - Epoch(train) [117][220/1879] lr: 1.0000e-03 eta: 20:46:37 time: 0.2817 data_time: 0.0226 memory: 8198 grad_norm: 6.0030 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0366 loss: 1.0366 2022/08/03 07:57:49 - mmengine - INFO - Epoch(train) [117][240/1879] lr: 1.0000e-03 eta: 20:46:32 time: 0.2988 data_time: 0.0207 memory: 8198 grad_norm: 5.9921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1355 loss: 1.1355 2022/08/03 07:57:55 - mmengine - INFO - Epoch(train) [117][260/1879] lr: 1.0000e-03 eta: 20:46:26 time: 0.2804 data_time: 0.0251 memory: 8198 grad_norm: 5.9067 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.1806 loss: 1.1806 2022/08/03 07:58:01 - mmengine - INFO - Epoch(train) [117][280/1879] lr: 1.0000e-03 eta: 20:46:20 time: 0.2819 data_time: 0.0213 memory: 8198 grad_norm: 5.9841 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2203 loss: 1.2203 2022/08/03 07:58:07 - mmengine - INFO - Epoch(train) [117][300/1879] lr: 1.0000e-03 eta: 20:46:15 time: 0.2923 data_time: 0.0239 memory: 8198 grad_norm: 6.2689 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1362 loss: 1.1362 2022/08/03 07:58:12 - mmengine - INFO - Epoch(train) [117][320/1879] lr: 1.0000e-03 eta: 20:46:09 time: 0.2841 data_time: 0.0245 memory: 8198 grad_norm: 6.0968 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2814 loss: 1.2814 2022/08/03 07:58:18 - mmengine - INFO - Epoch(train) [117][340/1879] lr: 1.0000e-03 eta: 20:46:03 time: 0.2833 data_time: 0.0275 memory: 8198 grad_norm: 5.8919 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9922 loss: 0.9922 2022/08/03 07:58:24 - mmengine - INFO - Epoch(train) [117][360/1879] lr: 1.0000e-03 eta: 20:45:58 time: 0.2853 data_time: 0.0217 memory: 8198 grad_norm: 6.0431 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1753 loss: 1.1753 2022/08/03 07:58:29 - mmengine - INFO - Epoch(train) [117][380/1879] lr: 1.0000e-03 eta: 20:45:52 time: 0.2847 data_time: 0.0263 memory: 8198 grad_norm: 5.8581 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1340 loss: 1.1340 2022/08/03 07:58:35 - mmengine - INFO - Epoch(train) [117][400/1879] lr: 1.0000e-03 eta: 20:45:46 time: 0.2837 data_time: 0.0224 memory: 8198 grad_norm: 6.0151 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1164 loss: 1.1164 2022/08/03 07:58:41 - mmengine - INFO - Epoch(train) [117][420/1879] lr: 1.0000e-03 eta: 20:45:41 time: 0.2843 data_time: 0.0234 memory: 8198 grad_norm: 5.9125 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/08/03 07:58:46 - mmengine - INFO - Epoch(train) [117][440/1879] lr: 1.0000e-03 eta: 20:45:35 time: 0.2816 data_time: 0.0219 memory: 8198 grad_norm: 6.0368 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1816 loss: 1.1816 2022/08/03 07:58:52 - mmengine - INFO - Epoch(train) [117][460/1879] lr: 1.0000e-03 eta: 20:45:29 time: 0.2867 data_time: 0.0235 memory: 8198 grad_norm: 5.8678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/08/03 07:58:58 - mmengine - INFO - Epoch(train) [117][480/1879] lr: 1.0000e-03 eta: 20:45:24 time: 0.3023 data_time: 0.0235 memory: 8198 grad_norm: 5.8098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3194 loss: 1.3194 2022/08/03 07:59:04 - mmengine - INFO - Epoch(train) [117][500/1879] lr: 1.0000e-03 eta: 20:45:18 time: 0.2819 data_time: 0.0189 memory: 8198 grad_norm: 5.9638 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0666 loss: 1.0666 2022/08/03 07:59:10 - mmengine - INFO - Epoch(train) [117][520/1879] lr: 1.0000e-03 eta: 20:45:12 time: 0.2849 data_time: 0.0213 memory: 8198 grad_norm: 5.8736 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0410 loss: 1.0410 2022/08/03 07:59:15 - mmengine - INFO - Epoch(train) [117][540/1879] lr: 1.0000e-03 eta: 20:45:07 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 6.0407 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/08/03 07:59:21 - mmengine - INFO - Epoch(train) [117][560/1879] lr: 1.0000e-03 eta: 20:45:01 time: 0.2819 data_time: 0.0215 memory: 8198 grad_norm: 6.1190 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0852 loss: 1.0852 2022/08/03 07:59:27 - mmengine - INFO - Epoch(train) [117][580/1879] lr: 1.0000e-03 eta: 20:44:55 time: 0.2844 data_time: 0.0246 memory: 8198 grad_norm: 6.1873 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2778 loss: 1.2778 2022/08/03 07:59:32 - mmengine - INFO - Epoch(train) [117][600/1879] lr: 1.0000e-03 eta: 20:44:50 time: 0.2837 data_time: 0.0198 memory: 8198 grad_norm: 5.7825 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1974 loss: 1.1974 2022/08/03 07:59:38 - mmengine - INFO - Epoch(train) [117][620/1879] lr: 1.0000e-03 eta: 20:44:44 time: 0.2956 data_time: 0.0191 memory: 8198 grad_norm: 5.9997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/08/03 07:59:44 - mmengine - INFO - Epoch(train) [117][640/1879] lr: 1.0000e-03 eta: 20:44:38 time: 0.2811 data_time: 0.0237 memory: 8198 grad_norm: 6.1631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0261 loss: 1.0261 2022/08/03 07:59:50 - mmengine - INFO - Epoch(train) [117][660/1879] lr: 1.0000e-03 eta: 20:44:33 time: 0.2847 data_time: 0.0248 memory: 8198 grad_norm: 5.8970 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0278 loss: 1.0278 2022/08/03 07:59:55 - mmengine - INFO - Epoch(train) [117][680/1879] lr: 1.0000e-03 eta: 20:44:27 time: 0.2857 data_time: 0.0238 memory: 8198 grad_norm: 6.0941 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1012 loss: 1.1012 2022/08/03 08:00:01 - mmengine - INFO - Epoch(train) [117][700/1879] lr: 1.0000e-03 eta: 20:44:21 time: 0.2848 data_time: 0.0271 memory: 8198 grad_norm: 5.9325 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1135 loss: 1.1135 2022/08/03 08:00:07 - mmengine - INFO - Epoch(train) [117][720/1879] lr: 1.0000e-03 eta: 20:44:16 time: 0.2826 data_time: 0.0216 memory: 8198 grad_norm: 6.0019 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1081 loss: 1.1081 2022/08/03 08:00:13 - mmengine - INFO - Epoch(train) [117][740/1879] lr: 1.0000e-03 eta: 20:44:10 time: 0.2823 data_time: 0.0224 memory: 8198 grad_norm: 5.8931 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0544 loss: 1.0544 2022/08/03 08:00:18 - mmengine - INFO - Epoch(train) [117][760/1879] lr: 1.0000e-03 eta: 20:44:04 time: 0.2933 data_time: 0.0222 memory: 8198 grad_norm: 6.0099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3737 loss: 1.3737 2022/08/03 08:00:24 - mmengine - INFO - Epoch(train) [117][780/1879] lr: 1.0000e-03 eta: 20:43:59 time: 0.2844 data_time: 0.0211 memory: 8198 grad_norm: 6.0130 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2206 loss: 1.2206 2022/08/03 08:00:30 - mmengine - INFO - Epoch(train) [117][800/1879] lr: 1.0000e-03 eta: 20:43:53 time: 0.2857 data_time: 0.0275 memory: 8198 grad_norm: 6.0846 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0436 loss: 1.0436 2022/08/03 08:00:36 - mmengine - INFO - Epoch(train) [117][820/1879] lr: 1.0000e-03 eta: 20:43:48 time: 0.2926 data_time: 0.0190 memory: 8198 grad_norm: 5.8828 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0602 loss: 1.0602 2022/08/03 08:00:41 - mmengine - INFO - Epoch(train) [117][840/1879] lr: 1.0000e-03 eta: 20:43:42 time: 0.2834 data_time: 0.0183 memory: 8198 grad_norm: 6.1222 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/08/03 08:00:47 - mmengine - INFO - Epoch(train) [117][860/1879] lr: 1.0000e-03 eta: 20:43:36 time: 0.2852 data_time: 0.0218 memory: 8198 grad_norm: 6.0771 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2587 loss: 1.2587 2022/08/03 08:00:53 - mmengine - INFO - Epoch(train) [117][880/1879] lr: 1.0000e-03 eta: 20:43:31 time: 0.2861 data_time: 0.0214 memory: 8198 grad_norm: 5.9717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1649 loss: 1.1649 2022/08/03 08:00:59 - mmengine - INFO - Epoch(train) [117][900/1879] lr: 1.0000e-03 eta: 20:43:25 time: 0.2865 data_time: 0.0210 memory: 8198 grad_norm: 5.9517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2733 loss: 1.2733 2022/08/03 08:01:04 - mmengine - INFO - Epoch(train) [117][920/1879] lr: 1.0000e-03 eta: 20:43:19 time: 0.2825 data_time: 0.0213 memory: 8198 grad_norm: 6.1435 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2486 loss: 1.2486 2022/08/03 08:01:10 - mmengine - INFO - Epoch(train) [117][940/1879] lr: 1.0000e-03 eta: 20:43:14 time: 0.2875 data_time: 0.0256 memory: 8198 grad_norm: 6.0135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/08/03 08:01:16 - mmengine - INFO - Epoch(train) [117][960/1879] lr: 1.0000e-03 eta: 20:43:08 time: 0.3023 data_time: 0.0228 memory: 8198 grad_norm: 6.0664 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2043 loss: 1.2043 2022/08/03 08:01:22 - mmengine - INFO - Epoch(train) [117][980/1879] lr: 1.0000e-03 eta: 20:43:02 time: 0.2801 data_time: 0.0207 memory: 8198 grad_norm: 5.9935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9751 loss: 0.9751 2022/08/03 08:01:27 - mmengine - INFO - Epoch(train) [117][1000/1879] lr: 1.0000e-03 eta: 20:42:57 time: 0.2812 data_time: 0.0256 memory: 8198 grad_norm: 6.2709 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2676 loss: 1.2676 2022/08/03 08:01:33 - mmengine - INFO - Epoch(train) [117][1020/1879] lr: 1.0000e-03 eta: 20:42:51 time: 0.2835 data_time: 0.0216 memory: 8198 grad_norm: 6.0741 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0616 loss: 1.0616 2022/08/03 08:01:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:01:39 - mmengine - INFO - Epoch(train) [117][1040/1879] lr: 1.0000e-03 eta: 20:42:45 time: 0.2840 data_time: 0.0259 memory: 8198 grad_norm: 6.1214 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2508 loss: 1.2508 2022/08/03 08:01:45 - mmengine - INFO - Epoch(train) [117][1060/1879] lr: 1.0000e-03 eta: 20:42:40 time: 0.2893 data_time: 0.0244 memory: 8198 grad_norm: 5.8913 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1072 loss: 1.1072 2022/08/03 08:01:50 - mmengine - INFO - Epoch(train) [117][1080/1879] lr: 1.0000e-03 eta: 20:42:34 time: 0.2819 data_time: 0.0243 memory: 8198 grad_norm: 5.8656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0041 loss: 1.0041 2022/08/03 08:01:56 - mmengine - INFO - Epoch(train) [117][1100/1879] lr: 1.0000e-03 eta: 20:42:29 time: 0.3007 data_time: 0.0234 memory: 8198 grad_norm: 6.0581 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2685 loss: 1.2685 2022/08/03 08:02:02 - mmengine - INFO - Epoch(train) [117][1120/1879] lr: 1.0000e-03 eta: 20:42:23 time: 0.2883 data_time: 0.0189 memory: 8198 grad_norm: 5.9676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1662 loss: 1.1662 2022/08/03 08:02:08 - mmengine - INFO - Epoch(train) [117][1140/1879] lr: 1.0000e-03 eta: 20:42:17 time: 0.2836 data_time: 0.0216 memory: 8198 grad_norm: 6.1201 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2184 loss: 1.2184 2022/08/03 08:02:13 - mmengine - INFO - Epoch(train) [117][1160/1879] lr: 1.0000e-03 eta: 20:42:12 time: 0.2818 data_time: 0.0204 memory: 8198 grad_norm: 5.8807 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1183 loss: 1.1183 2022/08/03 08:02:19 - mmengine - INFO - Epoch(train) [117][1180/1879] lr: 1.0000e-03 eta: 20:42:06 time: 0.2861 data_time: 0.0232 memory: 8198 grad_norm: 5.9220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1476 loss: 1.1476 2022/08/03 08:02:25 - mmengine - INFO - Epoch(train) [117][1200/1879] lr: 1.0000e-03 eta: 20:42:00 time: 0.2869 data_time: 0.0241 memory: 8198 grad_norm: 6.0152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0420 loss: 1.0420 2022/08/03 08:02:31 - mmengine - INFO - Epoch(train) [117][1220/1879] lr: 1.0000e-03 eta: 20:41:55 time: 0.2838 data_time: 0.0198 memory: 8198 grad_norm: 5.7516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1369 loss: 1.1369 2022/08/03 08:02:36 - mmengine - INFO - Epoch(train) [117][1240/1879] lr: 1.0000e-03 eta: 20:41:49 time: 0.2839 data_time: 0.0220 memory: 8198 grad_norm: 5.9720 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1242 loss: 1.1242 2022/08/03 08:02:42 - mmengine - INFO - Epoch(train) [117][1260/1879] lr: 1.0000e-03 eta: 20:41:43 time: 0.2828 data_time: 0.0193 memory: 8198 grad_norm: 5.8995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1678 loss: 1.1678 2022/08/03 08:02:48 - mmengine - INFO - Epoch(train) [117][1280/1879] lr: 1.0000e-03 eta: 20:41:37 time: 0.2826 data_time: 0.0243 memory: 8198 grad_norm: 6.0359 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2463 loss: 1.2463 2022/08/03 08:02:53 - mmengine - INFO - Epoch(train) [117][1300/1879] lr: 1.0000e-03 eta: 20:41:32 time: 0.2848 data_time: 0.0229 memory: 8198 grad_norm: 6.2517 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1809 loss: 1.1809 2022/08/03 08:02:59 - mmengine - INFO - Epoch(train) [117][1320/1879] lr: 1.0000e-03 eta: 20:41:26 time: 0.2874 data_time: 0.0211 memory: 8198 grad_norm: 6.2647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1352 loss: 1.1352 2022/08/03 08:03:05 - mmengine - INFO - Epoch(train) [117][1340/1879] lr: 1.0000e-03 eta: 20:41:20 time: 0.2888 data_time: 0.0262 memory: 8198 grad_norm: 5.9510 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0279 loss: 1.0279 2022/08/03 08:03:11 - mmengine - INFO - Epoch(train) [117][1360/1879] lr: 1.0000e-03 eta: 20:41:15 time: 0.2818 data_time: 0.0224 memory: 8198 grad_norm: 5.9797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1426 loss: 1.1426 2022/08/03 08:03:16 - mmengine - INFO - Epoch(train) [117][1380/1879] lr: 1.0000e-03 eta: 20:41:09 time: 0.2841 data_time: 0.0189 memory: 8198 grad_norm: 5.9600 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/08/03 08:03:22 - mmengine - INFO - Epoch(train) [117][1400/1879] lr: 1.0000e-03 eta: 20:41:03 time: 0.2839 data_time: 0.0228 memory: 8198 grad_norm: 5.8932 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1316 loss: 1.1316 2022/08/03 08:03:28 - mmengine - INFO - Epoch(train) [117][1420/1879] lr: 1.0000e-03 eta: 20:40:58 time: 0.2840 data_time: 0.0216 memory: 8198 grad_norm: 6.0415 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1334 loss: 1.1334 2022/08/03 08:03:33 - mmengine - INFO - Epoch(train) [117][1440/1879] lr: 1.0000e-03 eta: 20:40:52 time: 0.2830 data_time: 0.0243 memory: 8198 grad_norm: 5.9766 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0739 loss: 1.0739 2022/08/03 08:03:39 - mmengine - INFO - Epoch(train) [117][1460/1879] lr: 1.0000e-03 eta: 20:40:46 time: 0.2833 data_time: 0.0166 memory: 8198 grad_norm: 6.1051 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1799 loss: 1.1799 2022/08/03 08:03:45 - mmengine - INFO - Epoch(train) [117][1480/1879] lr: 1.0000e-03 eta: 20:40:41 time: 0.2900 data_time: 0.0260 memory: 8198 grad_norm: 5.9469 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2639 loss: 1.2639 2022/08/03 08:03:51 - mmengine - INFO - Epoch(train) [117][1500/1879] lr: 1.0000e-03 eta: 20:40:35 time: 0.2832 data_time: 0.0200 memory: 8198 grad_norm: 5.8668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1929 loss: 1.1929 2022/08/03 08:03:56 - mmengine - INFO - Epoch(train) [117][1520/1879] lr: 1.0000e-03 eta: 20:40:29 time: 0.2854 data_time: 0.0236 memory: 8198 grad_norm: 6.1296 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3349 loss: 1.3349 2022/08/03 08:04:02 - mmengine - INFO - Epoch(train) [117][1540/1879] lr: 1.0000e-03 eta: 20:40:23 time: 0.2825 data_time: 0.0208 memory: 8198 grad_norm: 6.0226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/08/03 08:04:08 - mmengine - INFO - Epoch(train) [117][1560/1879] lr: 1.0000e-03 eta: 20:40:18 time: 0.2838 data_time: 0.0215 memory: 8198 grad_norm: 6.0302 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9787 loss: 0.9787 2022/08/03 08:04:13 - mmengine - INFO - Epoch(train) [117][1580/1879] lr: 1.0000e-03 eta: 20:40:12 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 5.9553 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1616 loss: 1.1616 2022/08/03 08:04:19 - mmengine - INFO - Epoch(train) [117][1600/1879] lr: 1.0000e-03 eta: 20:40:06 time: 0.2838 data_time: 0.0191 memory: 8198 grad_norm: 6.2826 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1737 loss: 1.1737 2022/08/03 08:04:25 - mmengine - INFO - Epoch(train) [117][1620/1879] lr: 1.0000e-03 eta: 20:40:01 time: 0.2867 data_time: 0.0263 memory: 8198 grad_norm: 5.9216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0836 loss: 1.0836 2022/08/03 08:04:30 - mmengine - INFO - Epoch(train) [117][1640/1879] lr: 1.0000e-03 eta: 20:39:55 time: 0.2800 data_time: 0.0174 memory: 8198 grad_norm: 6.0672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1604 loss: 1.1604 2022/08/03 08:04:36 - mmengine - INFO - Epoch(train) [117][1660/1879] lr: 1.0000e-03 eta: 20:39:49 time: 0.2870 data_time: 0.0263 memory: 8198 grad_norm: 5.9897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1269 loss: 1.1269 2022/08/03 08:04:42 - mmengine - INFO - Epoch(train) [117][1680/1879] lr: 1.0000e-03 eta: 20:39:44 time: 0.2848 data_time: 0.0234 memory: 8198 grad_norm: 5.9809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1871 loss: 1.1871 2022/08/03 08:04:48 - mmengine - INFO - Epoch(train) [117][1700/1879] lr: 1.0000e-03 eta: 20:39:38 time: 0.2890 data_time: 0.0334 memory: 8198 grad_norm: 6.0058 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0092 loss: 1.0092 2022/08/03 08:04:53 - mmengine - INFO - Epoch(train) [117][1720/1879] lr: 1.0000e-03 eta: 20:39:32 time: 0.2829 data_time: 0.0196 memory: 8198 grad_norm: 6.1145 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9834 loss: 0.9834 2022/08/03 08:04:59 - mmengine - INFO - Epoch(train) [117][1740/1879] lr: 1.0000e-03 eta: 20:39:27 time: 0.2860 data_time: 0.0198 memory: 8198 grad_norm: 6.1612 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1842 loss: 1.1842 2022/08/03 08:05:05 - mmengine - INFO - Epoch(train) [117][1760/1879] lr: 1.0000e-03 eta: 20:39:21 time: 0.2858 data_time: 0.0246 memory: 8198 grad_norm: 6.2677 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2012 loss: 1.2012 2022/08/03 08:05:11 - mmengine - INFO - Epoch(train) [117][1780/1879] lr: 1.0000e-03 eta: 20:39:15 time: 0.2843 data_time: 0.0225 memory: 8198 grad_norm: 6.0549 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0687 loss: 1.0687 2022/08/03 08:05:16 - mmengine - INFO - Epoch(train) [117][1800/1879] lr: 1.0000e-03 eta: 20:39:10 time: 0.2849 data_time: 0.0200 memory: 8198 grad_norm: 6.0117 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/08/03 08:05:22 - mmengine - INFO - Epoch(train) [117][1820/1879] lr: 1.0000e-03 eta: 20:39:04 time: 0.2808 data_time: 0.0211 memory: 8198 grad_norm: 6.2485 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2967 loss: 1.2967 2022/08/03 08:05:28 - mmengine - INFO - Epoch(train) [117][1840/1879] lr: 1.0000e-03 eta: 20:38:58 time: 0.2864 data_time: 0.0216 memory: 8198 grad_norm: 6.2315 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1698 loss: 1.1698 2022/08/03 08:05:33 - mmengine - INFO - Epoch(train) [117][1860/1879] lr: 1.0000e-03 eta: 20:38:52 time: 0.2828 data_time: 0.0257 memory: 8198 grad_norm: 5.9645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/08/03 08:05:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:05:38 - mmengine - INFO - Epoch(train) [117][1879/1879] lr: 1.0000e-03 eta: 20:38:52 time: 0.2591 data_time: 0.0186 memory: 8198 grad_norm: 6.2916 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1887 loss: 1.1887 2022/08/03 08:05:46 - mmengine - INFO - Epoch(train) [118][20/1879] lr: 1.0000e-03 eta: 20:38:38 time: 0.4046 data_time: 0.1330 memory: 8198 grad_norm: 5.8896 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2063 loss: 1.2063 2022/08/03 08:05:52 - mmengine - INFO - Epoch(train) [118][40/1879] lr: 1.0000e-03 eta: 20:38:32 time: 0.2957 data_time: 0.0311 memory: 8198 grad_norm: 5.9667 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2098 loss: 1.2098 2022/08/03 08:05:58 - mmengine - INFO - Epoch(train) [118][60/1879] lr: 1.0000e-03 eta: 20:38:27 time: 0.2925 data_time: 0.0205 memory: 8198 grad_norm: 6.0072 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1644 loss: 1.1644 2022/08/03 08:06:04 - mmengine - INFO - Epoch(train) [118][80/1879] lr: 1.0000e-03 eta: 20:38:21 time: 0.2844 data_time: 0.0233 memory: 8198 grad_norm: 5.9971 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1695 loss: 1.1695 2022/08/03 08:06:10 - mmengine - INFO - Epoch(train) [118][100/1879] lr: 1.0000e-03 eta: 20:38:15 time: 0.2819 data_time: 0.0259 memory: 8198 grad_norm: 5.9977 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1671 loss: 1.1671 2022/08/03 08:06:15 - mmengine - INFO - Epoch(train) [118][120/1879] lr: 1.0000e-03 eta: 20:38:10 time: 0.2840 data_time: 0.0213 memory: 8198 grad_norm: 5.8896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2814 loss: 1.2814 2022/08/03 08:06:21 - mmengine - INFO - Epoch(train) [118][140/1879] lr: 1.0000e-03 eta: 20:38:04 time: 0.2829 data_time: 0.0249 memory: 8198 grad_norm: 6.0300 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2687 loss: 1.2687 2022/08/03 08:06:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:06:27 - mmengine - INFO - Epoch(train) [118][160/1879] lr: 1.0000e-03 eta: 20:37:58 time: 0.2827 data_time: 0.0193 memory: 8198 grad_norm: 6.0141 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9525 loss: 0.9525 2022/08/03 08:06:32 - mmengine - INFO - Epoch(train) [118][180/1879] lr: 1.0000e-03 eta: 20:37:52 time: 0.2835 data_time: 0.0232 memory: 8198 grad_norm: 6.2198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2071 loss: 1.2071 2022/08/03 08:06:38 - mmengine - INFO - Epoch(train) [118][200/1879] lr: 1.0000e-03 eta: 20:37:47 time: 0.2884 data_time: 0.0215 memory: 8198 grad_norm: 5.8113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1515 loss: 1.1515 2022/08/03 08:06:44 - mmengine - INFO - Epoch(train) [118][220/1879] lr: 1.0000e-03 eta: 20:37:41 time: 0.2885 data_time: 0.0261 memory: 8198 grad_norm: 6.1231 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1739 loss: 1.1739 2022/08/03 08:06:50 - mmengine - INFO - Epoch(train) [118][240/1879] lr: 1.0000e-03 eta: 20:37:36 time: 0.2852 data_time: 0.0191 memory: 8198 grad_norm: 6.0636 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1527 loss: 1.1527 2022/08/03 08:06:55 - mmengine - INFO - Epoch(train) [118][260/1879] lr: 1.0000e-03 eta: 20:37:30 time: 0.2844 data_time: 0.0239 memory: 8198 grad_norm: 6.0101 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1796 loss: 1.1796 2022/08/03 08:07:01 - mmengine - INFO - Epoch(train) [118][280/1879] lr: 1.0000e-03 eta: 20:37:24 time: 0.2818 data_time: 0.0240 memory: 8198 grad_norm: 6.1363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0671 loss: 1.0671 2022/08/03 08:07:07 - mmengine - INFO - Epoch(train) [118][300/1879] lr: 1.0000e-03 eta: 20:37:18 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 6.1619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2233 loss: 1.2233 2022/08/03 08:07:13 - mmengine - INFO - Epoch(train) [118][320/1879] lr: 1.0000e-03 eta: 20:37:13 time: 0.2921 data_time: 0.0244 memory: 8198 grad_norm: 6.0484 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1815 loss: 1.1815 2022/08/03 08:07:18 - mmengine - INFO - Epoch(train) [118][340/1879] lr: 1.0000e-03 eta: 20:37:07 time: 0.2829 data_time: 0.0232 memory: 8198 grad_norm: 5.9695 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3145 loss: 1.3145 2022/08/03 08:07:24 - mmengine - INFO - Epoch(train) [118][360/1879] lr: 1.0000e-03 eta: 20:37:02 time: 0.2843 data_time: 0.0202 memory: 8198 grad_norm: 6.0453 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1430 loss: 1.1430 2022/08/03 08:07:30 - mmengine - INFO - Epoch(train) [118][380/1879] lr: 1.0000e-03 eta: 20:36:56 time: 0.2832 data_time: 0.0274 memory: 8198 grad_norm: 6.0215 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0293 loss: 1.0293 2022/08/03 08:07:35 - mmengine - INFO - Epoch(train) [118][400/1879] lr: 1.0000e-03 eta: 20:36:50 time: 0.2849 data_time: 0.0195 memory: 8198 grad_norm: 5.9501 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0388 loss: 1.0388 2022/08/03 08:07:41 - mmengine - INFO - Epoch(train) [118][420/1879] lr: 1.0000e-03 eta: 20:36:44 time: 0.2818 data_time: 0.0243 memory: 8198 grad_norm: 6.1901 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4240 loss: 1.4240 2022/08/03 08:07:47 - mmengine - INFO - Epoch(train) [118][440/1879] lr: 1.0000e-03 eta: 20:36:39 time: 0.2898 data_time: 0.0259 memory: 8198 grad_norm: 6.0261 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1385 loss: 1.1385 2022/08/03 08:07:52 - mmengine - INFO - Epoch(train) [118][460/1879] lr: 1.0000e-03 eta: 20:36:33 time: 0.2831 data_time: 0.0175 memory: 8198 grad_norm: 5.9225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/08/03 08:07:58 - mmengine - INFO - Epoch(train) [118][480/1879] lr: 1.0000e-03 eta: 20:36:27 time: 0.2883 data_time: 0.0222 memory: 8198 grad_norm: 6.0127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1156 loss: 1.1156 2022/08/03 08:08:04 - mmengine - INFO - Epoch(train) [118][500/1879] lr: 1.0000e-03 eta: 20:36:22 time: 0.2826 data_time: 0.0192 memory: 8198 grad_norm: 6.1352 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0496 loss: 1.0496 2022/08/03 08:08:10 - mmengine - INFO - Epoch(train) [118][520/1879] lr: 1.0000e-03 eta: 20:36:16 time: 0.2886 data_time: 0.0224 memory: 8198 grad_norm: 6.0530 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1277 loss: 1.1277 2022/08/03 08:08:15 - mmengine - INFO - Epoch(train) [118][540/1879] lr: 1.0000e-03 eta: 20:36:11 time: 0.2877 data_time: 0.0263 memory: 8198 grad_norm: 6.0798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/08/03 08:08:21 - mmengine - INFO - Epoch(train) [118][560/1879] lr: 1.0000e-03 eta: 20:36:05 time: 0.2816 data_time: 0.0223 memory: 8198 grad_norm: 6.0152 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1593 loss: 1.1593 2022/08/03 08:08:27 - mmengine - INFO - Epoch(train) [118][580/1879] lr: 1.0000e-03 eta: 20:35:59 time: 0.2876 data_time: 0.0304 memory: 8198 grad_norm: 6.0736 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2488 loss: 1.2488 2022/08/03 08:08:33 - mmengine - INFO - Epoch(train) [118][600/1879] lr: 1.0000e-03 eta: 20:35:53 time: 0.2808 data_time: 0.0223 memory: 8198 grad_norm: 5.9661 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1749 loss: 1.1749 2022/08/03 08:08:38 - mmengine - INFO - Epoch(train) [118][620/1879] lr: 1.0000e-03 eta: 20:35:48 time: 0.2844 data_time: 0.0224 memory: 8198 grad_norm: 6.1554 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1580 loss: 1.1580 2022/08/03 08:08:44 - mmengine - INFO - Epoch(train) [118][640/1879] lr: 1.0000e-03 eta: 20:35:42 time: 0.2842 data_time: 0.0260 memory: 8198 grad_norm: 6.1911 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/08/03 08:08:50 - mmengine - INFO - Epoch(train) [118][660/1879] lr: 1.0000e-03 eta: 20:35:36 time: 0.2879 data_time: 0.0246 memory: 8198 grad_norm: 5.9006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1446 loss: 1.1446 2022/08/03 08:08:55 - mmengine - INFO - Epoch(train) [118][680/1879] lr: 1.0000e-03 eta: 20:35:31 time: 0.2861 data_time: 0.0194 memory: 8198 grad_norm: 6.1201 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1989 loss: 1.1989 2022/08/03 08:09:01 - mmengine - INFO - Epoch(train) [118][700/1879] lr: 1.0000e-03 eta: 20:35:25 time: 0.2833 data_time: 0.0222 memory: 8198 grad_norm: 5.8146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0814 loss: 1.0814 2022/08/03 08:09:07 - mmengine - INFO - Epoch(train) [118][720/1879] lr: 1.0000e-03 eta: 20:35:19 time: 0.2893 data_time: 0.0211 memory: 8198 grad_norm: 6.0383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/08/03 08:09:13 - mmengine - INFO - Epoch(train) [118][740/1879] lr: 1.0000e-03 eta: 20:35:14 time: 0.2807 data_time: 0.0240 memory: 8198 grad_norm: 6.1297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0757 loss: 1.0757 2022/08/03 08:09:18 - mmengine - INFO - Epoch(train) [118][760/1879] lr: 1.0000e-03 eta: 20:35:08 time: 0.2905 data_time: 0.0188 memory: 8198 grad_norm: 5.8922 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2896 loss: 1.2896 2022/08/03 08:09:24 - mmengine - INFO - Epoch(train) [118][780/1879] lr: 1.0000e-03 eta: 20:35:02 time: 0.2813 data_time: 0.0212 memory: 8198 grad_norm: 5.9576 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1838 loss: 1.1838 2022/08/03 08:09:30 - mmengine - INFO - Epoch(train) [118][800/1879] lr: 1.0000e-03 eta: 20:34:57 time: 0.3004 data_time: 0.0217 memory: 8198 grad_norm: 5.7229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0401 loss: 1.0401 2022/08/03 08:09:36 - mmengine - INFO - Epoch(train) [118][820/1879] lr: 1.0000e-03 eta: 20:34:51 time: 0.2915 data_time: 0.0219 memory: 8198 grad_norm: 5.9751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9674 loss: 0.9674 2022/08/03 08:09:42 - mmengine - INFO - Epoch(train) [118][840/1879] lr: 1.0000e-03 eta: 20:34:46 time: 0.2800 data_time: 0.0187 memory: 8198 grad_norm: 6.0686 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0886 loss: 1.0886 2022/08/03 08:09:47 - mmengine - INFO - Epoch(train) [118][860/1879] lr: 1.0000e-03 eta: 20:34:40 time: 0.2909 data_time: 0.0239 memory: 8198 grad_norm: 6.1883 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0505 loss: 1.0505 2022/08/03 08:09:53 - mmengine - INFO - Epoch(train) [118][880/1879] lr: 1.0000e-03 eta: 20:34:34 time: 0.2856 data_time: 0.0216 memory: 8198 grad_norm: 5.8338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1154 loss: 1.1154 2022/08/03 08:09:59 - mmengine - INFO - Epoch(train) [118][900/1879] lr: 1.0000e-03 eta: 20:34:29 time: 0.2882 data_time: 0.0283 memory: 8198 grad_norm: 5.9678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1699 loss: 1.1699 2022/08/03 08:10:05 - mmengine - INFO - Epoch(train) [118][920/1879] lr: 1.0000e-03 eta: 20:34:23 time: 0.2819 data_time: 0.0195 memory: 8198 grad_norm: 6.2494 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1584 loss: 1.1584 2022/08/03 08:10:10 - mmengine - INFO - Epoch(train) [118][940/1879] lr: 1.0000e-03 eta: 20:34:17 time: 0.2893 data_time: 0.0261 memory: 8198 grad_norm: 5.9085 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/08/03 08:10:16 - mmengine - INFO - Epoch(train) [118][960/1879] lr: 1.0000e-03 eta: 20:34:12 time: 0.2834 data_time: 0.0167 memory: 8198 grad_norm: 6.0943 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0319 loss: 1.0319 2022/08/03 08:10:22 - mmengine - INFO - Epoch(train) [118][980/1879] lr: 1.0000e-03 eta: 20:34:06 time: 0.2851 data_time: 0.0252 memory: 8198 grad_norm: 6.1267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2986 loss: 1.2986 2022/08/03 08:10:27 - mmengine - INFO - Epoch(train) [118][1000/1879] lr: 1.0000e-03 eta: 20:34:00 time: 0.2839 data_time: 0.0239 memory: 8198 grad_norm: 6.0866 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1510 loss: 1.1510 2022/08/03 08:10:33 - mmengine - INFO - Epoch(train) [118][1020/1879] lr: 1.0000e-03 eta: 20:33:55 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 6.1273 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0807 loss: 1.0807 2022/08/03 08:10:39 - mmengine - INFO - Epoch(train) [118][1040/1879] lr: 1.0000e-03 eta: 20:33:49 time: 0.2838 data_time: 0.0226 memory: 8198 grad_norm: 6.1420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/08/03 08:10:45 - mmengine - INFO - Epoch(train) [118][1060/1879] lr: 1.0000e-03 eta: 20:33:43 time: 0.2842 data_time: 0.0191 memory: 8198 grad_norm: 6.0087 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2116 loss: 1.2116 2022/08/03 08:10:51 - mmengine - INFO - Epoch(train) [118][1080/1879] lr: 1.0000e-03 eta: 20:33:38 time: 0.3058 data_time: 0.0231 memory: 8198 grad_norm: 6.1119 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3209 loss: 1.3209 2022/08/03 08:10:56 - mmengine - INFO - Epoch(train) [118][1100/1879] lr: 1.0000e-03 eta: 20:33:32 time: 0.2810 data_time: 0.0214 memory: 8198 grad_norm: 6.0141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1922 loss: 1.1922 2022/08/03 08:11:02 - mmengine - INFO - Epoch(train) [118][1120/1879] lr: 1.0000e-03 eta: 20:33:27 time: 0.2826 data_time: 0.0219 memory: 8198 grad_norm: 5.8424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1047 loss: 1.1047 2022/08/03 08:11:08 - mmengine - INFO - Epoch(train) [118][1140/1879] lr: 1.0000e-03 eta: 20:33:21 time: 0.2832 data_time: 0.0250 memory: 8198 grad_norm: 5.9424 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0657 loss: 1.0657 2022/08/03 08:11:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:11:13 - mmengine - INFO - Epoch(train) [118][1160/1879] lr: 1.0000e-03 eta: 20:33:15 time: 0.2846 data_time: 0.0259 memory: 8198 grad_norm: 6.1880 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1441 loss: 1.1441 2022/08/03 08:11:19 - mmengine - INFO - Epoch(train) [118][1180/1879] lr: 1.0000e-03 eta: 20:33:10 time: 0.2876 data_time: 0.0231 memory: 8198 grad_norm: 6.2616 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2285 loss: 1.2285 2022/08/03 08:11:25 - mmengine - INFO - Epoch(train) [118][1200/1879] lr: 1.0000e-03 eta: 20:33:04 time: 0.2841 data_time: 0.0221 memory: 8198 grad_norm: 6.1287 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2516 loss: 1.2516 2022/08/03 08:11:31 - mmengine - INFO - Epoch(train) [118][1220/1879] lr: 1.0000e-03 eta: 20:32:58 time: 0.2843 data_time: 0.0241 memory: 8198 grad_norm: 6.0463 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1176 loss: 1.1176 2022/08/03 08:11:36 - mmengine - INFO - Epoch(train) [118][1240/1879] lr: 1.0000e-03 eta: 20:32:52 time: 0.2843 data_time: 0.0213 memory: 8198 grad_norm: 6.0500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1445 loss: 1.1445 2022/08/03 08:11:42 - mmengine - INFO - Epoch(train) [118][1260/1879] lr: 1.0000e-03 eta: 20:32:47 time: 0.2822 data_time: 0.0242 memory: 8198 grad_norm: 6.0847 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3364 loss: 1.3364 2022/08/03 08:11:48 - mmengine - INFO - Epoch(train) [118][1280/1879] lr: 1.0000e-03 eta: 20:32:41 time: 0.2842 data_time: 0.0221 memory: 8198 grad_norm: 6.0060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1756 loss: 1.1756 2022/08/03 08:11:53 - mmengine - INFO - Epoch(train) [118][1300/1879] lr: 1.0000e-03 eta: 20:32:35 time: 0.2852 data_time: 0.0223 memory: 8198 grad_norm: 6.2380 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3134 loss: 1.3134 2022/08/03 08:11:59 - mmengine - INFO - Epoch(train) [118][1320/1879] lr: 1.0000e-03 eta: 20:32:30 time: 0.2890 data_time: 0.0198 memory: 8198 grad_norm: 5.9404 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2095 loss: 1.2095 2022/08/03 08:12:05 - mmengine - INFO - Epoch(train) [118][1340/1879] lr: 1.0000e-03 eta: 20:32:24 time: 0.2810 data_time: 0.0267 memory: 8198 grad_norm: 5.9824 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9369 loss: 0.9369 2022/08/03 08:12:10 - mmengine - INFO - Epoch(train) [118][1360/1879] lr: 1.0000e-03 eta: 20:32:18 time: 0.2861 data_time: 0.0258 memory: 8198 grad_norm: 6.0232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/08/03 08:12:16 - mmengine - INFO - Epoch(train) [118][1380/1879] lr: 1.0000e-03 eta: 20:32:13 time: 0.2923 data_time: 0.0233 memory: 8198 grad_norm: 6.0802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2481 loss: 1.2481 2022/08/03 08:12:22 - mmengine - INFO - Epoch(train) [118][1400/1879] lr: 1.0000e-03 eta: 20:32:07 time: 0.2825 data_time: 0.0243 memory: 8198 grad_norm: 6.0385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/08/03 08:12:28 - mmengine - INFO - Epoch(train) [118][1420/1879] lr: 1.0000e-03 eta: 20:32:01 time: 0.2898 data_time: 0.0237 memory: 8198 grad_norm: 6.0980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1512 loss: 1.1512 2022/08/03 08:12:34 - mmengine - INFO - Epoch(train) [118][1440/1879] lr: 1.0000e-03 eta: 20:31:56 time: 0.2826 data_time: 0.0212 memory: 8198 grad_norm: 5.9489 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1605 loss: 1.1605 2022/08/03 08:12:39 - mmengine - INFO - Epoch(train) [118][1460/1879] lr: 1.0000e-03 eta: 20:31:50 time: 0.2829 data_time: 0.0255 memory: 8198 grad_norm: 6.0823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2119 loss: 1.2119 2022/08/03 08:12:45 - mmengine - INFO - Epoch(train) [118][1480/1879] lr: 1.0000e-03 eta: 20:31:44 time: 0.2872 data_time: 0.0278 memory: 8198 grad_norm: 6.0640 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0351 loss: 1.0351 2022/08/03 08:12:51 - mmengine - INFO - Epoch(train) [118][1500/1879] lr: 1.0000e-03 eta: 20:31:39 time: 0.2892 data_time: 0.0280 memory: 8198 grad_norm: 6.0962 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2601 loss: 1.2601 2022/08/03 08:12:56 - mmengine - INFO - Epoch(train) [118][1520/1879] lr: 1.0000e-03 eta: 20:31:33 time: 0.2854 data_time: 0.0229 memory: 8198 grad_norm: 6.1636 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1784 loss: 1.1784 2022/08/03 08:13:02 - mmengine - INFO - Epoch(train) [118][1540/1879] lr: 1.0000e-03 eta: 20:31:27 time: 0.2866 data_time: 0.0216 memory: 8198 grad_norm: 5.9900 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9725 loss: 0.9725 2022/08/03 08:13:08 - mmengine - INFO - Epoch(train) [118][1560/1879] lr: 1.0000e-03 eta: 20:31:22 time: 0.2873 data_time: 0.0226 memory: 8198 grad_norm: 6.1642 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0830 loss: 1.0830 2022/08/03 08:13:14 - mmengine - INFO - Epoch(train) [118][1580/1879] lr: 1.0000e-03 eta: 20:31:16 time: 0.2844 data_time: 0.0226 memory: 8198 grad_norm: 6.3529 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3490 loss: 1.3490 2022/08/03 08:13:19 - mmengine - INFO - Epoch(train) [118][1600/1879] lr: 1.0000e-03 eta: 20:31:10 time: 0.2847 data_time: 0.0214 memory: 8198 grad_norm: 6.0897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/08/03 08:13:25 - mmengine - INFO - Epoch(train) [118][1620/1879] lr: 1.0000e-03 eta: 20:31:05 time: 0.2822 data_time: 0.0228 memory: 8198 grad_norm: 5.7957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1963 loss: 1.1963 2022/08/03 08:13:31 - mmengine - INFO - Epoch(train) [118][1640/1879] lr: 1.0000e-03 eta: 20:30:59 time: 0.2827 data_time: 0.0197 memory: 8198 grad_norm: 6.2343 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2421 loss: 1.2421 2022/08/03 08:13:37 - mmengine - INFO - Epoch(train) [118][1660/1879] lr: 1.0000e-03 eta: 20:30:53 time: 0.2882 data_time: 0.0233 memory: 8198 grad_norm: 5.9812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2510 loss: 1.2510 2022/08/03 08:13:42 - mmengine - INFO - Epoch(train) [118][1680/1879] lr: 1.0000e-03 eta: 20:30:48 time: 0.2813 data_time: 0.0217 memory: 8198 grad_norm: 6.0235 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2069 loss: 1.2069 2022/08/03 08:13:48 - mmengine - INFO - Epoch(train) [118][1700/1879] lr: 1.0000e-03 eta: 20:30:42 time: 0.2899 data_time: 0.0259 memory: 8198 grad_norm: 5.9917 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2378 loss: 1.2378 2022/08/03 08:13:54 - mmengine - INFO - Epoch(train) [118][1720/1879] lr: 1.0000e-03 eta: 20:30:36 time: 0.2827 data_time: 0.0209 memory: 8198 grad_norm: 5.9637 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0219 loss: 1.0219 2022/08/03 08:13:59 - mmengine - INFO - Epoch(train) [118][1740/1879] lr: 1.0000e-03 eta: 20:30:31 time: 0.2846 data_time: 0.0215 memory: 8198 grad_norm: 6.0244 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3090 loss: 1.3090 2022/08/03 08:14:05 - mmengine - INFO - Epoch(train) [118][1760/1879] lr: 1.0000e-03 eta: 20:30:25 time: 0.2806 data_time: 0.0189 memory: 8198 grad_norm: 6.0934 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/08/03 08:14:11 - mmengine - INFO - Epoch(train) [118][1780/1879] lr: 1.0000e-03 eta: 20:30:19 time: 0.2865 data_time: 0.0248 memory: 8198 grad_norm: 6.0767 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3508 loss: 1.3508 2022/08/03 08:14:17 - mmengine - INFO - Epoch(train) [118][1800/1879] lr: 1.0000e-03 eta: 20:30:14 time: 0.2896 data_time: 0.0228 memory: 8198 grad_norm: 6.0411 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0788 loss: 1.0788 2022/08/03 08:14:22 - mmengine - INFO - Epoch(train) [118][1820/1879] lr: 1.0000e-03 eta: 20:30:08 time: 0.2850 data_time: 0.0243 memory: 8198 grad_norm: 6.0912 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3169 loss: 1.3169 2022/08/03 08:14:28 - mmengine - INFO - Epoch(train) [118][1840/1879] lr: 1.0000e-03 eta: 20:30:02 time: 0.2862 data_time: 0.0233 memory: 8198 grad_norm: 6.1459 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0689 loss: 1.0689 2022/08/03 08:14:34 - mmengine - INFO - Epoch(train) [118][1860/1879] lr: 1.0000e-03 eta: 20:29:57 time: 0.2839 data_time: 0.0327 memory: 8198 grad_norm: 6.2898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/08/03 08:14:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:14:39 - mmengine - INFO - Epoch(train) [118][1879/1879] lr: 1.0000e-03 eta: 20:29:57 time: 0.2673 data_time: 0.0162 memory: 8198 grad_norm: 6.0186 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1705 loss: 1.1705 2022/08/03 08:14:47 - mmengine - INFO - Epoch(train) [119][20/1879] lr: 1.0000e-03 eta: 20:29:42 time: 0.4084 data_time: 0.1338 memory: 8198 grad_norm: 6.0105 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9770 loss: 0.9770 2022/08/03 08:14:53 - mmengine - INFO - Epoch(train) [119][40/1879] lr: 1.0000e-03 eta: 20:29:36 time: 0.2827 data_time: 0.0179 memory: 8198 grad_norm: 6.1470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2624 loss: 1.2624 2022/08/03 08:14:59 - mmengine - INFO - Epoch(train) [119][60/1879] lr: 1.0000e-03 eta: 20:29:31 time: 0.2995 data_time: 0.0255 memory: 8198 grad_norm: 6.1508 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1667 loss: 1.1667 2022/08/03 08:15:04 - mmengine - INFO - Epoch(train) [119][80/1879] lr: 1.0000e-03 eta: 20:29:25 time: 0.2838 data_time: 0.0193 memory: 8198 grad_norm: 6.0551 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2520 loss: 1.2520 2022/08/03 08:15:10 - mmengine - INFO - Epoch(train) [119][100/1879] lr: 1.0000e-03 eta: 20:29:20 time: 0.2862 data_time: 0.0219 memory: 8198 grad_norm: 6.0602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0763 loss: 1.0763 2022/08/03 08:15:16 - mmengine - INFO - Epoch(train) [119][120/1879] lr: 1.0000e-03 eta: 20:29:14 time: 0.2849 data_time: 0.0220 memory: 8198 grad_norm: 6.0102 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9890 loss: 0.9890 2022/08/03 08:15:22 - mmengine - INFO - Epoch(train) [119][140/1879] lr: 1.0000e-03 eta: 20:29:08 time: 0.2842 data_time: 0.0222 memory: 8198 grad_norm: 6.0302 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0858 loss: 1.0858 2022/08/03 08:15:27 - mmengine - INFO - Epoch(train) [119][160/1879] lr: 1.0000e-03 eta: 20:29:02 time: 0.2824 data_time: 0.0243 memory: 8198 grad_norm: 6.2935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3450 loss: 1.3450 2022/08/03 08:15:33 - mmengine - INFO - Epoch(train) [119][180/1879] lr: 1.0000e-03 eta: 20:28:57 time: 0.2832 data_time: 0.0253 memory: 8198 grad_norm: 6.0553 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1361 loss: 1.1361 2022/08/03 08:15:39 - mmengine - INFO - Epoch(train) [119][200/1879] lr: 1.0000e-03 eta: 20:28:51 time: 0.3026 data_time: 0.0238 memory: 8198 grad_norm: 5.9267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0928 loss: 1.0928 2022/08/03 08:15:45 - mmengine - INFO - Epoch(train) [119][220/1879] lr: 1.0000e-03 eta: 20:28:46 time: 0.2806 data_time: 0.0166 memory: 8198 grad_norm: 5.8096 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1054 loss: 1.1054 2022/08/03 08:15:50 - mmengine - INFO - Epoch(train) [119][240/1879] lr: 1.0000e-03 eta: 20:28:40 time: 0.2832 data_time: 0.0193 memory: 8198 grad_norm: 5.9272 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0857 loss: 1.0857 2022/08/03 08:15:56 - mmengine - INFO - Epoch(train) [119][260/1879] lr: 1.0000e-03 eta: 20:28:34 time: 0.2935 data_time: 0.0266 memory: 8198 grad_norm: 6.0567 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2030 loss: 1.2030 2022/08/03 08:16:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:16:02 - mmengine - INFO - Epoch(train) [119][280/1879] lr: 1.0000e-03 eta: 20:28:29 time: 0.2825 data_time: 0.0210 memory: 8198 grad_norm: 6.0276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1472 loss: 1.1472 2022/08/03 08:16:08 - mmengine - INFO - Epoch(train) [119][300/1879] lr: 1.0000e-03 eta: 20:28:23 time: 0.2819 data_time: 0.0213 memory: 8198 grad_norm: 6.1573 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0932 loss: 1.0932 2022/08/03 08:16:13 - mmengine - INFO - Epoch(train) [119][320/1879] lr: 1.0000e-03 eta: 20:28:17 time: 0.2846 data_time: 0.0215 memory: 8198 grad_norm: 5.8926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0790 loss: 1.0790 2022/08/03 08:16:19 - mmengine - INFO - Epoch(train) [119][340/1879] lr: 1.0000e-03 eta: 20:28:12 time: 0.2948 data_time: 0.0240 memory: 8198 grad_norm: 6.1178 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2376 loss: 1.2376 2022/08/03 08:16:25 - mmengine - INFO - Epoch(train) [119][360/1879] lr: 1.0000e-03 eta: 20:28:06 time: 0.2800 data_time: 0.0233 memory: 8198 grad_norm: 6.1045 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1547 loss: 1.1547 2022/08/03 08:16:31 - mmengine - INFO - Epoch(train) [119][380/1879] lr: 1.0000e-03 eta: 20:28:00 time: 0.2883 data_time: 0.0245 memory: 8198 grad_norm: 6.1030 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2893 loss: 1.2893 2022/08/03 08:16:36 - mmengine - INFO - Epoch(train) [119][400/1879] lr: 1.0000e-03 eta: 20:27:55 time: 0.2960 data_time: 0.0222 memory: 8198 grad_norm: 5.9784 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/08/03 08:16:42 - mmengine - INFO - Epoch(train) [119][420/1879] lr: 1.0000e-03 eta: 20:27:49 time: 0.2837 data_time: 0.0225 memory: 8198 grad_norm: 5.8877 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2307 loss: 1.2307 2022/08/03 08:16:48 - mmengine - INFO - Epoch(train) [119][440/1879] lr: 1.0000e-03 eta: 20:27:44 time: 0.2833 data_time: 0.0212 memory: 8198 grad_norm: 5.9009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/08/03 08:16:54 - mmengine - INFO - Epoch(train) [119][460/1879] lr: 1.0000e-03 eta: 20:27:38 time: 0.2995 data_time: 0.0247 memory: 8198 grad_norm: 6.2739 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0566 loss: 1.0566 2022/08/03 08:17:00 - mmengine - INFO - Epoch(train) [119][480/1879] lr: 1.0000e-03 eta: 20:27:33 time: 0.2868 data_time: 0.0209 memory: 8198 grad_norm: 5.8169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1970 loss: 1.1970 2022/08/03 08:17:05 - mmengine - INFO - Epoch(train) [119][500/1879] lr: 1.0000e-03 eta: 20:27:27 time: 0.2819 data_time: 0.0237 memory: 8198 grad_norm: 6.1172 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2685 loss: 1.2685 2022/08/03 08:17:11 - mmengine - INFO - Epoch(train) [119][520/1879] lr: 1.0000e-03 eta: 20:27:21 time: 0.2955 data_time: 0.0330 memory: 8198 grad_norm: 6.1319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0172 loss: 1.0172 2022/08/03 08:17:17 - mmengine - INFO - Epoch(train) [119][540/1879] lr: 1.0000e-03 eta: 20:27:16 time: 0.2883 data_time: 0.0228 memory: 8198 grad_norm: 5.9688 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/03 08:17:23 - mmengine - INFO - Epoch(train) [119][560/1879] lr: 1.0000e-03 eta: 20:27:10 time: 0.2868 data_time: 0.0233 memory: 8198 grad_norm: 5.9332 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/08/03 08:17:29 - mmengine - INFO - Epoch(train) [119][580/1879] lr: 1.0000e-03 eta: 20:27:04 time: 0.2829 data_time: 0.0201 memory: 8198 grad_norm: 6.0559 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/08/03 08:17:34 - mmengine - INFO - Epoch(train) [119][600/1879] lr: 1.0000e-03 eta: 20:26:59 time: 0.2867 data_time: 0.0240 memory: 8198 grad_norm: 6.0639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9050 loss: 0.9050 2022/08/03 08:17:40 - mmengine - INFO - Epoch(train) [119][620/1879] lr: 1.0000e-03 eta: 20:26:53 time: 0.2845 data_time: 0.0205 memory: 8198 grad_norm: 6.1360 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0788 loss: 1.0788 2022/08/03 08:17:45 - mmengine - INFO - Epoch(train) [119][640/1879] lr: 1.0000e-03 eta: 20:26:47 time: 0.2791 data_time: 0.0188 memory: 8198 grad_norm: 6.1849 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2016 loss: 1.2016 2022/08/03 08:17:51 - mmengine - INFO - Epoch(train) [119][660/1879] lr: 1.0000e-03 eta: 20:26:42 time: 0.2848 data_time: 0.0289 memory: 8198 grad_norm: 6.0353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1279 loss: 1.1279 2022/08/03 08:17:57 - mmengine - INFO - Epoch(train) [119][680/1879] lr: 1.0000e-03 eta: 20:26:36 time: 0.2890 data_time: 0.0233 memory: 8198 grad_norm: 5.9678 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0629 loss: 1.0629 2022/08/03 08:18:03 - mmengine - INFO - Epoch(train) [119][700/1879] lr: 1.0000e-03 eta: 20:26:30 time: 0.2813 data_time: 0.0211 memory: 8198 grad_norm: 6.0967 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0756 loss: 1.0756 2022/08/03 08:18:08 - mmengine - INFO - Epoch(train) [119][720/1879] lr: 1.0000e-03 eta: 20:26:25 time: 0.2867 data_time: 0.0290 memory: 8198 grad_norm: 6.1460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3664 loss: 1.3664 2022/08/03 08:18:14 - mmengine - INFO - Epoch(train) [119][740/1879] lr: 1.0000e-03 eta: 20:26:19 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 6.0986 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9451 loss: 0.9451 2022/08/03 08:18:20 - mmengine - INFO - Epoch(train) [119][760/1879] lr: 1.0000e-03 eta: 20:26:13 time: 0.2832 data_time: 0.0174 memory: 8198 grad_norm: 6.0748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2388 loss: 1.2388 2022/08/03 08:18:26 - mmengine - INFO - Epoch(train) [119][780/1879] lr: 1.0000e-03 eta: 20:26:08 time: 0.2884 data_time: 0.0243 memory: 8198 grad_norm: 6.0590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0367 loss: 1.0367 2022/08/03 08:18:31 - mmengine - INFO - Epoch(train) [119][800/1879] lr: 1.0000e-03 eta: 20:26:02 time: 0.2821 data_time: 0.0207 memory: 8198 grad_norm: 5.9365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0604 loss: 1.0604 2022/08/03 08:18:37 - mmengine - INFO - Epoch(train) [119][820/1879] lr: 1.0000e-03 eta: 20:25:56 time: 0.2858 data_time: 0.0185 memory: 8198 grad_norm: 6.0211 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0821 loss: 1.0821 2022/08/03 08:18:43 - mmengine - INFO - Epoch(train) [119][840/1879] lr: 1.0000e-03 eta: 20:25:50 time: 0.2828 data_time: 0.0210 memory: 8198 grad_norm: 6.0668 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1333 loss: 1.1333 2022/08/03 08:18:49 - mmengine - INFO - Epoch(train) [119][860/1879] lr: 1.0000e-03 eta: 20:25:45 time: 0.2989 data_time: 0.0230 memory: 8198 grad_norm: 5.9359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9876 loss: 0.9876 2022/08/03 08:18:54 - mmengine - INFO - Epoch(train) [119][880/1879] lr: 1.0000e-03 eta: 20:25:39 time: 0.2840 data_time: 0.0232 memory: 8198 grad_norm: 6.0242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1302 loss: 1.1302 2022/08/03 08:19:00 - mmengine - INFO - Epoch(train) [119][900/1879] lr: 1.0000e-03 eta: 20:25:34 time: 0.2820 data_time: 0.0207 memory: 8198 grad_norm: 6.2524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/08/03 08:19:06 - mmengine - INFO - Epoch(train) [119][920/1879] lr: 1.0000e-03 eta: 20:25:28 time: 0.2864 data_time: 0.0260 memory: 8198 grad_norm: 5.9963 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9978 loss: 0.9978 2022/08/03 08:19:12 - mmengine - INFO - Epoch(train) [119][940/1879] lr: 1.0000e-03 eta: 20:25:22 time: 0.2879 data_time: 0.0218 memory: 8198 grad_norm: 6.0640 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0052 loss: 1.0052 2022/08/03 08:19:17 - mmengine - INFO - Epoch(train) [119][960/1879] lr: 1.0000e-03 eta: 20:25:17 time: 0.2817 data_time: 0.0220 memory: 8198 grad_norm: 6.0116 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2314 loss: 1.2314 2022/08/03 08:19:23 - mmengine - INFO - Epoch(train) [119][980/1879] lr: 1.0000e-03 eta: 20:25:11 time: 0.2848 data_time: 0.0260 memory: 8198 grad_norm: 5.9617 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0387 loss: 1.0387 2022/08/03 08:19:29 - mmengine - INFO - Epoch(train) [119][1000/1879] lr: 1.0000e-03 eta: 20:25:05 time: 0.2848 data_time: 0.0207 memory: 8198 grad_norm: 5.9015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3210 loss: 1.3210 2022/08/03 08:19:34 - mmengine - INFO - Epoch(train) [119][1020/1879] lr: 1.0000e-03 eta: 20:25:00 time: 0.2829 data_time: 0.0228 memory: 8198 grad_norm: 5.9289 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2960 loss: 1.2960 2022/08/03 08:19:40 - mmengine - INFO - Epoch(train) [119][1040/1879] lr: 1.0000e-03 eta: 20:24:54 time: 0.2858 data_time: 0.0266 memory: 8198 grad_norm: 6.0926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/08/03 08:19:46 - mmengine - INFO - Epoch(train) [119][1060/1879] lr: 1.0000e-03 eta: 20:24:48 time: 0.2824 data_time: 0.0204 memory: 8198 grad_norm: 6.1842 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1009 loss: 1.1009 2022/08/03 08:19:51 - mmengine - INFO - Epoch(train) [119][1080/1879] lr: 1.0000e-03 eta: 20:24:42 time: 0.2881 data_time: 0.0302 memory: 8198 grad_norm: 5.7809 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0086 loss: 1.0086 2022/08/03 08:19:57 - mmengine - INFO - Epoch(train) [119][1100/1879] lr: 1.0000e-03 eta: 20:24:37 time: 0.2853 data_time: 0.0216 memory: 8198 grad_norm: 6.0285 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0951 loss: 1.0951 2022/08/03 08:20:03 - mmengine - INFO - Epoch(train) [119][1120/1879] lr: 1.0000e-03 eta: 20:24:31 time: 0.2838 data_time: 0.0209 memory: 8198 grad_norm: 6.0304 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1682 loss: 1.1682 2022/08/03 08:20:09 - mmengine - INFO - Epoch(train) [119][1140/1879] lr: 1.0000e-03 eta: 20:24:25 time: 0.2867 data_time: 0.0225 memory: 8198 grad_norm: 6.0513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1490 loss: 1.1490 2022/08/03 08:20:14 - mmengine - INFO - Epoch(train) [119][1160/1879] lr: 1.0000e-03 eta: 20:24:20 time: 0.2818 data_time: 0.0204 memory: 8198 grad_norm: 6.1218 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0535 loss: 1.0535 2022/08/03 08:20:20 - mmengine - INFO - Epoch(train) [119][1180/1879] lr: 1.0000e-03 eta: 20:24:14 time: 0.2841 data_time: 0.0221 memory: 8198 grad_norm: 6.2251 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0956 loss: 1.0956 2022/08/03 08:20:29 - mmengine - INFO - Epoch(train) [119][1200/1879] lr: 1.0000e-03 eta: 20:24:12 time: 0.4364 data_time: 0.1691 memory: 8198 grad_norm: 5.9835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3392 loss: 1.3392 2022/08/03 08:20:34 - mmengine - INFO - Epoch(train) [119][1220/1879] lr: 1.0000e-03 eta: 20:24:06 time: 0.2842 data_time: 0.0176 memory: 8198 grad_norm: 6.1417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0980 loss: 1.0980 2022/08/03 08:20:40 - mmengine - INFO - Epoch(train) [119][1240/1879] lr: 1.0000e-03 eta: 20:24:01 time: 0.2910 data_time: 0.0228 memory: 8198 grad_norm: 6.1181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/08/03 08:20:46 - mmengine - INFO - Epoch(train) [119][1260/1879] lr: 1.0000e-03 eta: 20:23:55 time: 0.2823 data_time: 0.0210 memory: 8198 grad_norm: 6.0329 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/08/03 08:20:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:20:52 - mmengine - INFO - Epoch(train) [119][1280/1879] lr: 1.0000e-03 eta: 20:23:49 time: 0.2940 data_time: 0.0228 memory: 8198 grad_norm: 6.1664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2921 loss: 1.2921 2022/08/03 08:20:58 - mmengine - INFO - Epoch(train) [119][1300/1879] lr: 1.0000e-03 eta: 20:23:44 time: 0.2839 data_time: 0.0268 memory: 8198 grad_norm: 6.0991 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1247 loss: 1.1247 2022/08/03 08:21:03 - mmengine - INFO - Epoch(train) [119][1320/1879] lr: 1.0000e-03 eta: 20:23:38 time: 0.2824 data_time: 0.0187 memory: 8198 grad_norm: 6.1106 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1051 loss: 1.1051 2022/08/03 08:21:09 - mmengine - INFO - Epoch(train) [119][1340/1879] lr: 1.0000e-03 eta: 20:23:32 time: 0.2852 data_time: 0.0207 memory: 8198 grad_norm: 6.0274 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/08/03 08:21:15 - mmengine - INFO - Epoch(train) [119][1360/1879] lr: 1.0000e-03 eta: 20:23:27 time: 0.2863 data_time: 0.0214 memory: 8198 grad_norm: 6.1099 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1182 loss: 1.1182 2022/08/03 08:21:20 - mmengine - INFO - Epoch(train) [119][1380/1879] lr: 1.0000e-03 eta: 20:23:21 time: 0.2835 data_time: 0.0256 memory: 8198 grad_norm: 6.1105 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1390 loss: 1.1390 2022/08/03 08:21:26 - mmengine - INFO - Epoch(train) [119][1400/1879] lr: 1.0000e-03 eta: 20:23:15 time: 0.2864 data_time: 0.0235 memory: 8198 grad_norm: 6.1810 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2728 loss: 1.2728 2022/08/03 08:21:32 - mmengine - INFO - Epoch(train) [119][1420/1879] lr: 1.0000e-03 eta: 20:23:10 time: 0.2878 data_time: 0.0244 memory: 8198 grad_norm: 6.1825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/08/03 08:21:38 - mmengine - INFO - Epoch(train) [119][1440/1879] lr: 1.0000e-03 eta: 20:23:04 time: 0.2815 data_time: 0.0203 memory: 8198 grad_norm: 6.0192 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2373 loss: 1.2373 2022/08/03 08:21:43 - mmengine - INFO - Epoch(train) [119][1460/1879] lr: 1.0000e-03 eta: 20:22:58 time: 0.2827 data_time: 0.0249 memory: 8198 grad_norm: 6.2124 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9745 loss: 0.9745 2022/08/03 08:21:49 - mmengine - INFO - Epoch(train) [119][1480/1879] lr: 1.0000e-03 eta: 20:22:53 time: 0.2916 data_time: 0.0242 memory: 8198 grad_norm: 6.0464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0274 loss: 1.0274 2022/08/03 08:21:55 - mmengine - INFO - Epoch(train) [119][1500/1879] lr: 1.0000e-03 eta: 20:22:47 time: 0.2869 data_time: 0.0230 memory: 8198 grad_norm: 6.1690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0925 loss: 1.0925 2022/08/03 08:22:01 - mmengine - INFO - Epoch(train) [119][1520/1879] lr: 1.0000e-03 eta: 20:22:41 time: 0.2874 data_time: 0.0225 memory: 8198 grad_norm: 5.9765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3811 loss: 1.3811 2022/08/03 08:22:06 - mmengine - INFO - Epoch(train) [119][1540/1879] lr: 1.0000e-03 eta: 20:22:36 time: 0.2903 data_time: 0.0213 memory: 8198 grad_norm: 6.1955 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1581 loss: 1.1581 2022/08/03 08:22:12 - mmengine - INFO - Epoch(train) [119][1560/1879] lr: 1.0000e-03 eta: 20:22:30 time: 0.2886 data_time: 0.0309 memory: 8198 grad_norm: 6.2018 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2646 loss: 1.2646 2022/08/03 08:22:18 - mmengine - INFO - Epoch(train) [119][1580/1879] lr: 1.0000e-03 eta: 20:22:24 time: 0.2827 data_time: 0.0227 memory: 8198 grad_norm: 6.0490 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0044 loss: 1.0044 2022/08/03 08:22:24 - mmengine - INFO - Epoch(train) [119][1600/1879] lr: 1.0000e-03 eta: 20:22:19 time: 0.2833 data_time: 0.0258 memory: 8198 grad_norm: 6.2192 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2487 loss: 1.2487 2022/08/03 08:22:29 - mmengine - INFO - Epoch(train) [119][1620/1879] lr: 1.0000e-03 eta: 20:22:13 time: 0.2878 data_time: 0.0260 memory: 8198 grad_norm: 6.0855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0001 loss: 1.0001 2022/08/03 08:22:35 - mmengine - INFO - Epoch(train) [119][1640/1879] lr: 1.0000e-03 eta: 20:22:07 time: 0.2848 data_time: 0.0250 memory: 8198 grad_norm: 6.1022 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0402 loss: 1.0402 2022/08/03 08:22:41 - mmengine - INFO - Epoch(train) [119][1660/1879] lr: 1.0000e-03 eta: 20:22:02 time: 0.2911 data_time: 0.0262 memory: 8198 grad_norm: 6.0594 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1749 loss: 1.1749 2022/08/03 08:22:47 - mmengine - INFO - Epoch(train) [119][1680/1879] lr: 1.0000e-03 eta: 20:21:56 time: 0.2835 data_time: 0.0221 memory: 8198 grad_norm: 6.1240 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1585 loss: 1.1585 2022/08/03 08:22:52 - mmengine - INFO - Epoch(train) [119][1700/1879] lr: 1.0000e-03 eta: 20:21:50 time: 0.2868 data_time: 0.0267 memory: 8198 grad_norm: 6.0735 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1676 loss: 1.1676 2022/08/03 08:22:58 - mmengine - INFO - Epoch(train) [119][1720/1879] lr: 1.0000e-03 eta: 20:21:45 time: 0.2873 data_time: 0.0177 memory: 8198 grad_norm: 6.0998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1852 loss: 1.1852 2022/08/03 08:23:04 - mmengine - INFO - Epoch(train) [119][1740/1879] lr: 1.0000e-03 eta: 20:21:39 time: 0.2827 data_time: 0.0250 memory: 8198 grad_norm: 6.0448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/08/03 08:23:09 - mmengine - INFO - Epoch(train) [119][1760/1879] lr: 1.0000e-03 eta: 20:21:33 time: 0.2829 data_time: 0.0207 memory: 8198 grad_norm: 6.1606 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2186 loss: 1.2186 2022/08/03 08:23:15 - mmengine - INFO - Epoch(train) [119][1780/1879] lr: 1.0000e-03 eta: 20:21:28 time: 0.2846 data_time: 0.0251 memory: 8198 grad_norm: 5.9583 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2907 loss: 1.2907 2022/08/03 08:23:21 - mmengine - INFO - Epoch(train) [119][1800/1879] lr: 1.0000e-03 eta: 20:21:22 time: 0.2822 data_time: 0.0212 memory: 8198 grad_norm: 5.9719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1980 loss: 1.1980 2022/08/03 08:23:27 - mmengine - INFO - Epoch(train) [119][1820/1879] lr: 1.0000e-03 eta: 20:21:16 time: 0.2867 data_time: 0.0275 memory: 8198 grad_norm: 6.2453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1787 loss: 1.1787 2022/08/03 08:23:32 - mmengine - INFO - Epoch(train) [119][1840/1879] lr: 1.0000e-03 eta: 20:21:11 time: 0.2878 data_time: 0.0247 memory: 8198 grad_norm: 6.0672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2291 loss: 1.2291 2022/08/03 08:23:38 - mmengine - INFO - Epoch(train) [119][1860/1879] lr: 1.0000e-03 eta: 20:21:05 time: 0.2844 data_time: 0.0212 memory: 8198 grad_norm: 6.2119 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0683 loss: 1.0683 2022/08/03 08:23:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:23:43 - mmengine - INFO - Epoch(train) [119][1879/1879] lr: 1.0000e-03 eta: 20:21:05 time: 0.2551 data_time: 0.0153 memory: 8198 grad_norm: 6.3365 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.0826 loss: 1.0826 2022/08/03 08:23:51 - mmengine - INFO - Epoch(train) [120][20/1879] lr: 1.0000e-03 eta: 20:20:50 time: 0.3903 data_time: 0.1191 memory: 8198 grad_norm: 6.0963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0984 loss: 1.0984 2022/08/03 08:23:57 - mmengine - INFO - Epoch(train) [120][40/1879] lr: 1.0000e-03 eta: 20:20:45 time: 0.3011 data_time: 0.0172 memory: 8198 grad_norm: 6.2473 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3673 loss: 1.3673 2022/08/03 08:24:03 - mmengine - INFO - Epoch(train) [120][60/1879] lr: 1.0000e-03 eta: 20:20:39 time: 0.2857 data_time: 0.0226 memory: 8198 grad_norm: 5.8237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/08/03 08:24:08 - mmengine - INFO - Epoch(train) [120][80/1879] lr: 1.0000e-03 eta: 20:20:33 time: 0.2829 data_time: 0.0221 memory: 8198 grad_norm: 5.8911 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1144 loss: 1.1144 2022/08/03 08:24:14 - mmengine - INFO - Epoch(train) [120][100/1879] lr: 1.0000e-03 eta: 20:20:28 time: 0.2851 data_time: 0.0209 memory: 8198 grad_norm: 5.8655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1996 loss: 1.1996 2022/08/03 08:24:20 - mmengine - INFO - Epoch(train) [120][120/1879] lr: 1.0000e-03 eta: 20:20:22 time: 0.2856 data_time: 0.0219 memory: 8198 grad_norm: 5.8806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/08/03 08:24:25 - mmengine - INFO - Epoch(train) [120][140/1879] lr: 1.0000e-03 eta: 20:20:16 time: 0.2882 data_time: 0.0215 memory: 8198 grad_norm: 6.0927 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9601 loss: 0.9601 2022/08/03 08:24:31 - mmengine - INFO - Epoch(train) [120][160/1879] lr: 1.0000e-03 eta: 20:20:11 time: 0.2859 data_time: 0.0190 memory: 8198 grad_norm: 6.1481 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1615 loss: 1.1615 2022/08/03 08:24:37 - mmengine - INFO - Epoch(train) [120][180/1879] lr: 1.0000e-03 eta: 20:20:05 time: 0.2987 data_time: 0.0272 memory: 8198 grad_norm: 5.9952 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1113 loss: 1.1113 2022/08/03 08:24:43 - mmengine - INFO - Epoch(train) [120][200/1879] lr: 1.0000e-03 eta: 20:20:00 time: 0.2782 data_time: 0.0174 memory: 8198 grad_norm: 5.9887 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0532 loss: 1.0532 2022/08/03 08:24:49 - mmengine - INFO - Epoch(train) [120][220/1879] lr: 1.0000e-03 eta: 20:19:54 time: 0.2874 data_time: 0.0207 memory: 8198 grad_norm: 6.2927 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2675 loss: 1.2675 2022/08/03 08:24:54 - mmengine - INFO - Epoch(train) [120][240/1879] lr: 1.0000e-03 eta: 20:19:48 time: 0.2900 data_time: 0.0250 memory: 8198 grad_norm: 6.2511 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/08/03 08:25:00 - mmengine - INFO - Epoch(train) [120][260/1879] lr: 1.0000e-03 eta: 20:19:43 time: 0.2873 data_time: 0.0245 memory: 8198 grad_norm: 5.9172 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0107 loss: 1.0107 2022/08/03 08:25:06 - mmengine - INFO - Epoch(train) [120][280/1879] lr: 1.0000e-03 eta: 20:19:37 time: 0.2838 data_time: 0.0193 memory: 8198 grad_norm: 6.1332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/08/03 08:25:12 - mmengine - INFO - Epoch(train) [120][300/1879] lr: 1.0000e-03 eta: 20:19:31 time: 0.2856 data_time: 0.0253 memory: 8198 grad_norm: 6.0744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1006 loss: 1.1006 2022/08/03 08:25:17 - mmengine - INFO - Epoch(train) [120][320/1879] lr: 1.0000e-03 eta: 20:19:26 time: 0.2882 data_time: 0.0225 memory: 8198 grad_norm: 5.9417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/08/03 08:25:23 - mmengine - INFO - Epoch(train) [120][340/1879] lr: 1.0000e-03 eta: 20:19:20 time: 0.2887 data_time: 0.0166 memory: 8198 grad_norm: 6.1364 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1270 loss: 1.1270 2022/08/03 08:25:29 - mmengine - INFO - Epoch(train) [120][360/1879] lr: 1.0000e-03 eta: 20:19:14 time: 0.2822 data_time: 0.0195 memory: 8198 grad_norm: 5.9132 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0152 loss: 1.0152 2022/08/03 08:25:34 - mmengine - INFO - Epoch(train) [120][380/1879] lr: 1.0000e-03 eta: 20:19:09 time: 0.2854 data_time: 0.0267 memory: 8198 grad_norm: 6.1300 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1434 loss: 1.1434 2022/08/03 08:25:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:25:40 - mmengine - INFO - Epoch(train) [120][400/1879] lr: 1.0000e-03 eta: 20:19:03 time: 0.2905 data_time: 0.0276 memory: 8198 grad_norm: 5.9746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8981 loss: 0.8981 2022/08/03 08:25:46 - mmengine - INFO - Epoch(train) [120][420/1879] lr: 1.0000e-03 eta: 20:18:57 time: 0.2811 data_time: 0.0252 memory: 8198 grad_norm: 6.2266 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2209 loss: 1.2209 2022/08/03 08:25:52 - mmengine - INFO - Epoch(train) [120][440/1879] lr: 1.0000e-03 eta: 20:18:52 time: 0.2847 data_time: 0.0221 memory: 8198 grad_norm: 6.0068 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0499 loss: 1.0499 2022/08/03 08:25:58 - mmengine - INFO - Epoch(train) [120][460/1879] lr: 1.0000e-03 eta: 20:18:46 time: 0.3039 data_time: 0.0250 memory: 8198 grad_norm: 5.9937 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1159 loss: 1.1159 2022/08/03 08:26:03 - mmengine - INFO - Epoch(train) [120][480/1879] lr: 1.0000e-03 eta: 20:18:41 time: 0.2805 data_time: 0.0188 memory: 8198 grad_norm: 6.0386 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2935 loss: 1.2935 2022/08/03 08:26:09 - mmengine - INFO - Epoch(train) [120][500/1879] lr: 1.0000e-03 eta: 20:18:35 time: 0.2878 data_time: 0.0261 memory: 8198 grad_norm: 6.0599 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2190 loss: 1.2190 2022/08/03 08:26:15 - mmengine - INFO - Epoch(train) [120][520/1879] lr: 1.0000e-03 eta: 20:18:29 time: 0.2820 data_time: 0.0214 memory: 8198 grad_norm: 6.2791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/08/03 08:26:21 - mmengine - INFO - Epoch(train) [120][540/1879] lr: 1.0000e-03 eta: 20:18:24 time: 0.2869 data_time: 0.0211 memory: 8198 grad_norm: 5.9137 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0521 loss: 1.0521 2022/08/03 08:26:26 - mmengine - INFO - Epoch(train) [120][560/1879] lr: 1.0000e-03 eta: 20:18:18 time: 0.2821 data_time: 0.0265 memory: 8198 grad_norm: 6.2265 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1718 loss: 1.1718 2022/08/03 08:26:32 - mmengine - INFO - Epoch(train) [120][580/1879] lr: 1.0000e-03 eta: 20:18:12 time: 0.2821 data_time: 0.0210 memory: 8198 grad_norm: 5.9553 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2037 loss: 1.2037 2022/08/03 08:26:38 - mmengine - INFO - Epoch(train) [120][600/1879] lr: 1.0000e-03 eta: 20:18:07 time: 0.2944 data_time: 0.0216 memory: 8198 grad_norm: 6.2115 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2297 loss: 1.2297 2022/08/03 08:26:43 - mmengine - INFO - Epoch(train) [120][620/1879] lr: 1.0000e-03 eta: 20:18:01 time: 0.2838 data_time: 0.0251 memory: 8198 grad_norm: 5.9281 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1540 loss: 1.1540 2022/08/03 08:26:49 - mmengine - INFO - Epoch(train) [120][640/1879] lr: 1.0000e-03 eta: 20:17:55 time: 0.2835 data_time: 0.0225 memory: 8198 grad_norm: 5.8734 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1128 loss: 1.1128 2022/08/03 08:26:55 - mmengine - INFO - Epoch(train) [120][660/1879] lr: 1.0000e-03 eta: 20:17:50 time: 0.2832 data_time: 0.0231 memory: 8198 grad_norm: 6.2405 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0414 loss: 1.0414 2022/08/03 08:27:01 - mmengine - INFO - Epoch(train) [120][680/1879] lr: 1.0000e-03 eta: 20:17:44 time: 0.2986 data_time: 0.0204 memory: 8198 grad_norm: 6.0034 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2088 loss: 1.2088 2022/08/03 08:27:06 - mmengine - INFO - Epoch(train) [120][700/1879] lr: 1.0000e-03 eta: 20:17:38 time: 0.2795 data_time: 0.0200 memory: 8198 grad_norm: 6.2709 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/08/03 08:27:12 - mmengine - INFO - Epoch(train) [120][720/1879] lr: 1.0000e-03 eta: 20:17:33 time: 0.2867 data_time: 0.0298 memory: 8198 grad_norm: 5.9901 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3136 loss: 1.3136 2022/08/03 08:27:18 - mmengine - INFO - Epoch(train) [120][740/1879] lr: 1.0000e-03 eta: 20:17:27 time: 0.2823 data_time: 0.0207 memory: 8198 grad_norm: 6.0272 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2489 loss: 1.2489 2022/08/03 08:27:24 - mmengine - INFO - Epoch(train) [120][760/1879] lr: 1.0000e-03 eta: 20:17:21 time: 0.2907 data_time: 0.0181 memory: 8198 grad_norm: 5.9445 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0553 loss: 1.0553 2022/08/03 08:27:29 - mmengine - INFO - Epoch(train) [120][780/1879] lr: 1.0000e-03 eta: 20:17:16 time: 0.2796 data_time: 0.0216 memory: 8198 grad_norm: 6.1590 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/08/03 08:27:35 - mmengine - INFO - Epoch(train) [120][800/1879] lr: 1.0000e-03 eta: 20:17:10 time: 0.2825 data_time: 0.0234 memory: 8198 grad_norm: 5.9706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/08/03 08:27:41 - mmengine - INFO - Epoch(train) [120][820/1879] lr: 1.0000e-03 eta: 20:17:04 time: 0.2833 data_time: 0.0242 memory: 8198 grad_norm: 6.1969 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1511 loss: 1.1511 2022/08/03 08:27:46 - mmengine - INFO - Epoch(train) [120][840/1879] lr: 1.0000e-03 eta: 20:16:58 time: 0.2836 data_time: 0.0209 memory: 8198 grad_norm: 6.2889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/08/03 08:27:52 - mmengine - INFO - Epoch(train) [120][860/1879] lr: 1.0000e-03 eta: 20:16:53 time: 0.2833 data_time: 0.0190 memory: 8198 grad_norm: 6.1528 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2390 loss: 1.2390 2022/08/03 08:27:58 - mmengine - INFO - Epoch(train) [120][880/1879] lr: 1.0000e-03 eta: 20:16:47 time: 0.2898 data_time: 0.0293 memory: 8198 grad_norm: 6.2034 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2653 loss: 1.2653 2022/08/03 08:28:04 - mmengine - INFO - Epoch(train) [120][900/1879] lr: 1.0000e-03 eta: 20:16:41 time: 0.2816 data_time: 0.0228 memory: 8198 grad_norm: 6.2117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1505 loss: 1.1505 2022/08/03 08:28:09 - mmengine - INFO - Epoch(train) [120][920/1879] lr: 1.0000e-03 eta: 20:16:36 time: 0.2830 data_time: 0.0205 memory: 8198 grad_norm: 6.1438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2433 loss: 1.2433 2022/08/03 08:28:15 - mmengine - INFO - Epoch(train) [120][940/1879] lr: 1.0000e-03 eta: 20:16:30 time: 0.2841 data_time: 0.0238 memory: 8198 grad_norm: 6.1349 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1784 loss: 1.1784 2022/08/03 08:28:21 - mmengine - INFO - Epoch(train) [120][960/1879] lr: 1.0000e-03 eta: 20:16:24 time: 0.2839 data_time: 0.0222 memory: 8198 grad_norm: 6.1425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2044 loss: 1.2044 2022/08/03 08:28:26 - mmengine - INFO - Epoch(train) [120][980/1879] lr: 1.0000e-03 eta: 20:16:19 time: 0.2835 data_time: 0.0234 memory: 8198 grad_norm: 6.2627 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2542 loss: 1.2542 2022/08/03 08:28:32 - mmengine - INFO - Epoch(train) [120][1000/1879] lr: 1.0000e-03 eta: 20:16:13 time: 0.2839 data_time: 0.0263 memory: 8198 grad_norm: 6.1301 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2739 loss: 1.2739 2022/08/03 08:28:38 - mmengine - INFO - Epoch(train) [120][1020/1879] lr: 1.0000e-03 eta: 20:16:07 time: 0.2859 data_time: 0.0287 memory: 8198 grad_norm: 6.2461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3006 loss: 1.3006 2022/08/03 08:28:43 - mmengine - INFO - Epoch(train) [120][1040/1879] lr: 1.0000e-03 eta: 20:16:02 time: 0.2838 data_time: 0.0228 memory: 8198 grad_norm: 5.9435 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2159 loss: 1.2159 2022/08/03 08:28:49 - mmengine - INFO - Epoch(train) [120][1060/1879] lr: 1.0000e-03 eta: 20:15:56 time: 0.2844 data_time: 0.0223 memory: 8198 grad_norm: 5.9217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1382 loss: 1.1382 2022/08/03 08:28:55 - mmengine - INFO - Epoch(train) [120][1080/1879] lr: 1.0000e-03 eta: 20:15:50 time: 0.2804 data_time: 0.0227 memory: 8198 grad_norm: 6.2703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9407 loss: 0.9407 2022/08/03 08:29:01 - mmengine - INFO - Epoch(train) [120][1100/1879] lr: 1.0000e-03 eta: 20:15:44 time: 0.2891 data_time: 0.0234 memory: 8198 grad_norm: 6.4094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1406 loss: 1.1406 2022/08/03 08:29:06 - mmengine - INFO - Epoch(train) [120][1120/1879] lr: 1.0000e-03 eta: 20:15:39 time: 0.2821 data_time: 0.0197 memory: 8198 grad_norm: 6.1218 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1831 loss: 1.1831 2022/08/03 08:29:12 - mmengine - INFO - Epoch(train) [120][1140/1879] lr: 1.0000e-03 eta: 20:15:33 time: 0.2840 data_time: 0.0224 memory: 8198 grad_norm: 6.2212 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1176 loss: 1.1176 2022/08/03 08:29:18 - mmengine - INFO - Epoch(train) [120][1160/1879] lr: 1.0000e-03 eta: 20:15:27 time: 0.2839 data_time: 0.0223 memory: 8198 grad_norm: 6.3014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1866 loss: 1.1866 2022/08/03 08:29:23 - mmengine - INFO - Epoch(train) [120][1180/1879] lr: 1.0000e-03 eta: 20:15:22 time: 0.2850 data_time: 0.0239 memory: 8198 grad_norm: 6.1438 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1058 loss: 1.1058 2022/08/03 08:29:29 - mmengine - INFO - Epoch(train) [120][1200/1879] lr: 1.0000e-03 eta: 20:15:16 time: 0.2829 data_time: 0.0201 memory: 8198 grad_norm: 6.1997 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/08/03 08:29:35 - mmengine - INFO - Epoch(train) [120][1220/1879] lr: 1.0000e-03 eta: 20:15:10 time: 0.2852 data_time: 0.0265 memory: 8198 grad_norm: 6.1292 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0743 loss: 1.0743 2022/08/03 08:29:40 - mmengine - INFO - Epoch(train) [120][1240/1879] lr: 1.0000e-03 eta: 20:15:05 time: 0.2853 data_time: 0.0251 memory: 8198 grad_norm: 6.0759 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0535 loss: 1.0535 2022/08/03 08:29:46 - mmengine - INFO - Epoch(train) [120][1260/1879] lr: 1.0000e-03 eta: 20:14:59 time: 0.2832 data_time: 0.0223 memory: 8198 grad_norm: 6.3567 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1774 loss: 1.1774 2022/08/03 08:29:52 - mmengine - INFO - Epoch(train) [120][1280/1879] lr: 1.0000e-03 eta: 20:14:53 time: 0.2801 data_time: 0.0218 memory: 8198 grad_norm: 6.1555 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0629 loss: 1.0629 2022/08/03 08:29:58 - mmengine - INFO - Epoch(train) [120][1300/1879] lr: 1.0000e-03 eta: 20:14:48 time: 0.2945 data_time: 0.0240 memory: 8198 grad_norm: 6.2903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1610 loss: 1.1610 2022/08/03 08:30:03 - mmengine - INFO - Epoch(train) [120][1320/1879] lr: 1.0000e-03 eta: 20:14:42 time: 0.2821 data_time: 0.0216 memory: 8198 grad_norm: 6.0706 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1821 loss: 1.1821 2022/08/03 08:30:09 - mmengine - INFO - Epoch(train) [120][1340/1879] lr: 1.0000e-03 eta: 20:14:36 time: 0.2828 data_time: 0.0226 memory: 8198 grad_norm: 6.1491 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1968 loss: 1.1968 2022/08/03 08:30:15 - mmengine - INFO - Epoch(train) [120][1360/1879] lr: 1.0000e-03 eta: 20:14:30 time: 0.2820 data_time: 0.0268 memory: 8198 grad_norm: 6.2706 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1709 loss: 1.1709 2022/08/03 08:30:21 - mmengine - INFO - Epoch(train) [120][1380/1879] lr: 1.0000e-03 eta: 20:14:25 time: 0.2920 data_time: 0.0248 memory: 8198 grad_norm: 6.3455 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0276 loss: 1.0276 2022/08/03 08:30:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:30:26 - mmengine - INFO - Epoch(train) [120][1400/1879] lr: 1.0000e-03 eta: 20:14:19 time: 0.2815 data_time: 0.0216 memory: 8198 grad_norm: 6.0971 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/08/03 08:30:32 - mmengine - INFO - Epoch(train) [120][1420/1879] lr: 1.0000e-03 eta: 20:14:13 time: 0.2875 data_time: 0.0282 memory: 8198 grad_norm: 6.2857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/08/03 08:30:38 - mmengine - INFO - Epoch(train) [120][1440/1879] lr: 1.0000e-03 eta: 20:14:08 time: 0.2856 data_time: 0.0191 memory: 8198 grad_norm: 5.9701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/08/03 08:30:43 - mmengine - INFO - Epoch(train) [120][1460/1879] lr: 1.0000e-03 eta: 20:14:02 time: 0.2818 data_time: 0.0215 memory: 8198 grad_norm: 6.0302 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/08/03 08:30:49 - mmengine - INFO - Epoch(train) [120][1480/1879] lr: 1.0000e-03 eta: 20:13:57 time: 0.2972 data_time: 0.0239 memory: 8198 grad_norm: 6.0457 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1838 loss: 1.1838 2022/08/03 08:30:55 - mmengine - INFO - Epoch(train) [120][1500/1879] lr: 1.0000e-03 eta: 20:13:51 time: 0.2817 data_time: 0.0214 memory: 8198 grad_norm: 6.1891 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1970 loss: 1.1970 2022/08/03 08:31:01 - mmengine - INFO - Epoch(train) [120][1520/1879] lr: 1.0000e-03 eta: 20:13:45 time: 0.2911 data_time: 0.0185 memory: 8198 grad_norm: 6.1470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0872 loss: 1.0872 2022/08/03 08:31:06 - mmengine - INFO - Epoch(train) [120][1540/1879] lr: 1.0000e-03 eta: 20:13:40 time: 0.2849 data_time: 0.0179 memory: 8198 grad_norm: 6.3408 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1699 loss: 1.1699 2022/08/03 08:31:12 - mmengine - INFO - Epoch(train) [120][1560/1879] lr: 1.0000e-03 eta: 20:13:34 time: 0.2893 data_time: 0.0196 memory: 8198 grad_norm: 6.2273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1450 loss: 1.1450 2022/08/03 08:31:18 - mmengine - INFO - Epoch(train) [120][1580/1879] lr: 1.0000e-03 eta: 20:13:29 time: 0.2954 data_time: 0.0283 memory: 8198 grad_norm: 6.0432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1319 loss: 1.1319 2022/08/03 08:31:24 - mmengine - INFO - Epoch(train) [120][1600/1879] lr: 1.0000e-03 eta: 20:13:23 time: 0.2791 data_time: 0.0212 memory: 8198 grad_norm: 6.3485 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1150 loss: 1.1150 2022/08/03 08:31:29 - mmengine - INFO - Epoch(train) [120][1620/1879] lr: 1.0000e-03 eta: 20:13:17 time: 0.2830 data_time: 0.0234 memory: 8198 grad_norm: 6.1751 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2819 loss: 1.2819 2022/08/03 08:31:35 - mmengine - INFO - Epoch(train) [120][1640/1879] lr: 1.0000e-03 eta: 20:13:11 time: 0.2861 data_time: 0.0221 memory: 8198 grad_norm: 6.0327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1308 loss: 1.1308 2022/08/03 08:31:41 - mmengine - INFO - Epoch(train) [120][1660/1879] lr: 1.0000e-03 eta: 20:13:06 time: 0.2904 data_time: 0.0245 memory: 8198 grad_norm: 6.0198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0191 loss: 1.0191 2022/08/03 08:31:47 - mmengine - INFO - Epoch(train) [120][1680/1879] lr: 1.0000e-03 eta: 20:13:00 time: 0.2800 data_time: 0.0181 memory: 8198 grad_norm: 5.9774 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1238 loss: 1.1238 2022/08/03 08:31:52 - mmengine - INFO - Epoch(train) [120][1700/1879] lr: 1.0000e-03 eta: 20:12:54 time: 0.2843 data_time: 0.0260 memory: 8198 grad_norm: 6.2998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1006 loss: 1.1006 2022/08/03 08:31:58 - mmengine - INFO - Epoch(train) [120][1720/1879] lr: 1.0000e-03 eta: 20:12:49 time: 0.2928 data_time: 0.0249 memory: 8198 grad_norm: 6.3574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/08/03 08:32:04 - mmengine - INFO - Epoch(train) [120][1740/1879] lr: 1.0000e-03 eta: 20:12:43 time: 0.2849 data_time: 0.0244 memory: 8198 grad_norm: 6.1402 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1252 loss: 1.1252 2022/08/03 08:32:10 - mmengine - INFO - Epoch(train) [120][1760/1879] lr: 1.0000e-03 eta: 20:12:37 time: 0.2830 data_time: 0.0198 memory: 8198 grad_norm: 6.3627 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9004 loss: 0.9004 2022/08/03 08:32:15 - mmengine - INFO - Epoch(train) [120][1780/1879] lr: 1.0000e-03 eta: 20:12:32 time: 0.2833 data_time: 0.0221 memory: 8198 grad_norm: 6.1517 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2304 loss: 1.2304 2022/08/03 08:32:21 - mmengine - INFO - Epoch(train) [120][1800/1879] lr: 1.0000e-03 eta: 20:12:26 time: 0.2881 data_time: 0.0224 memory: 8198 grad_norm: 6.1976 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1944 loss: 1.1944 2022/08/03 08:32:27 - mmengine - INFO - Epoch(train) [120][1820/1879] lr: 1.0000e-03 eta: 20:12:20 time: 0.2864 data_time: 0.0268 memory: 8198 grad_norm: 5.9581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1556 loss: 1.1556 2022/08/03 08:32:32 - mmengine - INFO - Epoch(train) [120][1840/1879] lr: 1.0000e-03 eta: 20:12:15 time: 0.2805 data_time: 0.0203 memory: 8198 grad_norm: 6.1323 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0730 loss: 1.0730 2022/08/03 08:32:38 - mmengine - INFO - Epoch(train) [120][1860/1879] lr: 1.0000e-03 eta: 20:12:09 time: 0.2911 data_time: 0.0309 memory: 8198 grad_norm: 5.9996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1651 loss: 1.1651 2022/08/03 08:32:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:32:43 - mmengine - INFO - Epoch(train) [120][1879/1879] lr: 1.0000e-03 eta: 20:12:09 time: 0.2566 data_time: 0.0174 memory: 8198 grad_norm: 6.3064 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3663 loss: 1.3663 2022/08/03 08:32:43 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/03 08:32:52 - mmengine - INFO - Epoch(val) [120][20/155] eta: 0:00:45 time: 0.3386 data_time: 0.2509 memory: 1514 2022/08/03 08:32:57 - mmengine - INFO - Epoch(val) [120][40/155] eta: 0:00:26 time: 0.2273 data_time: 0.1409 memory: 1514 2022/08/03 08:33:03 - mmengine - INFO - Epoch(val) [120][60/155] eta: 0:00:27 time: 0.2944 data_time: 0.2060 memory: 1514 2022/08/03 08:33:08 - mmengine - INFO - Epoch(val) [120][80/155] eta: 0:00:17 time: 0.2345 data_time: 0.1476 memory: 1514 2022/08/03 08:33:14 - mmengine - INFO - Epoch(val) [120][100/155] eta: 0:00:16 time: 0.3069 data_time: 0.2163 memory: 1514 2022/08/03 08:33:18 - mmengine - INFO - Epoch(val) [120][120/155] eta: 0:00:08 time: 0.2314 data_time: 0.1316 memory: 1514 2022/08/03 08:33:24 - mmengine - INFO - Epoch(val) [120][140/155] eta: 0:00:04 time: 0.2828 data_time: 0.1983 memory: 1514 2022/08/03 08:33:28 - mmengine - INFO - Epoch(val) [120][155/155] acc/top1: 0.6826 acc/top5: 0.8702 acc/mean1: 0.6824 2022/08/03 08:33:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb/best_acc/top1_epoch_116.pth is removed 2022/08/03 08:33:30 - mmengine - INFO - The best checkpoint with 0.6826 acc/top1 at 121 epoch is saved to best_acc/top1_epoch_121.pth. 2022/08/03 08:33:37 - mmengine - INFO - Epoch(train) [121][20/1879] lr: 1.0000e-03 eta: 20:11:54 time: 0.3733 data_time: 0.1115 memory: 8198 grad_norm: 6.1144 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1044 loss: 1.1044 2022/08/03 08:33:43 - mmengine - INFO - Epoch(train) [121][40/1879] lr: 1.0000e-03 eta: 20:11:48 time: 0.2835 data_time: 0.0175 memory: 8198 grad_norm: 6.0667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3263 loss: 1.3263 2022/08/03 08:33:49 - mmengine - INFO - Epoch(train) [121][60/1879] lr: 1.0000e-03 eta: 20:11:43 time: 0.3035 data_time: 0.0219 memory: 8198 grad_norm: 6.0160 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1366 loss: 1.1366 2022/08/03 08:33:55 - mmengine - INFO - Epoch(train) [121][80/1879] lr: 1.0000e-03 eta: 20:11:37 time: 0.2827 data_time: 0.0209 memory: 8198 grad_norm: 6.0521 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0382 loss: 1.0382 2022/08/03 08:34:01 - mmengine - INFO - Epoch(train) [121][100/1879] lr: 1.0000e-03 eta: 20:11:31 time: 0.2831 data_time: 0.0202 memory: 8198 grad_norm: 5.9989 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9974 loss: 0.9974 2022/08/03 08:34:06 - mmengine - INFO - Epoch(train) [121][120/1879] lr: 1.0000e-03 eta: 20:11:26 time: 0.2818 data_time: 0.0208 memory: 8198 grad_norm: 6.0665 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0749 loss: 1.0749 2022/08/03 08:34:12 - mmengine - INFO - Epoch(train) [121][140/1879] lr: 1.0000e-03 eta: 20:11:20 time: 0.2869 data_time: 0.0230 memory: 8198 grad_norm: 6.1222 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8874 loss: 0.8874 2022/08/03 08:34:18 - mmengine - INFO - Epoch(train) [121][160/1879] lr: 1.0000e-03 eta: 20:11:14 time: 0.2832 data_time: 0.0233 memory: 8198 grad_norm: 6.0771 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1083 loss: 1.1083 2022/08/03 08:34:23 - mmengine - INFO - Epoch(train) [121][180/1879] lr: 1.0000e-03 eta: 20:11:09 time: 0.2851 data_time: 0.0264 memory: 8198 grad_norm: 6.0814 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1211 loss: 1.1211 2022/08/03 08:34:29 - mmengine - INFO - Epoch(train) [121][200/1879] lr: 1.0000e-03 eta: 20:11:03 time: 0.2883 data_time: 0.0190 memory: 8198 grad_norm: 6.2980 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0279 loss: 1.0279 2022/08/03 08:34:35 - mmengine - INFO - Epoch(train) [121][220/1879] lr: 1.0000e-03 eta: 20:10:57 time: 0.2831 data_time: 0.0215 memory: 8198 grad_norm: 6.0809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0625 loss: 1.0625 2022/08/03 08:34:41 - mmengine - INFO - Epoch(train) [121][240/1879] lr: 1.0000e-03 eta: 20:10:52 time: 0.2844 data_time: 0.0245 memory: 8198 grad_norm: 5.8850 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1954 loss: 1.1954 2022/08/03 08:34:46 - mmengine - INFO - Epoch(train) [121][260/1879] lr: 1.0000e-03 eta: 20:10:46 time: 0.2828 data_time: 0.0229 memory: 8198 grad_norm: 6.2202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/08/03 08:34:52 - mmengine - INFO - Epoch(train) [121][280/1879] lr: 1.0000e-03 eta: 20:10:40 time: 0.2975 data_time: 0.0235 memory: 8198 grad_norm: 6.4261 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/08/03 08:34:58 - mmengine - INFO - Epoch(train) [121][300/1879] lr: 1.0000e-03 eta: 20:10:35 time: 0.2843 data_time: 0.0212 memory: 8198 grad_norm: 6.0423 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0256 loss: 1.0256 2022/08/03 08:35:04 - mmengine - INFO - Epoch(train) [121][320/1879] lr: 1.0000e-03 eta: 20:10:29 time: 0.2834 data_time: 0.0238 memory: 8198 grad_norm: 6.1128 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2076 loss: 1.2076 2022/08/03 08:35:09 - mmengine - INFO - Epoch(train) [121][340/1879] lr: 1.0000e-03 eta: 20:10:23 time: 0.2867 data_time: 0.0267 memory: 8198 grad_norm: 6.1213 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1071 loss: 1.1071 2022/08/03 08:35:15 - mmengine - INFO - Epoch(train) [121][360/1879] lr: 1.0000e-03 eta: 20:10:18 time: 0.2816 data_time: 0.0247 memory: 8198 grad_norm: 6.0827 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2425 loss: 1.2425 2022/08/03 08:35:21 - mmengine - INFO - Epoch(train) [121][380/1879] lr: 1.0000e-03 eta: 20:10:12 time: 0.2902 data_time: 0.0238 memory: 8198 grad_norm: 6.0802 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0854 loss: 1.0854 2022/08/03 08:35:26 - mmengine - INFO - Epoch(train) [121][400/1879] lr: 1.0000e-03 eta: 20:10:06 time: 0.2816 data_time: 0.0223 memory: 8198 grad_norm: 5.9398 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1385 loss: 1.1385 2022/08/03 08:35:32 - mmengine - INFO - Epoch(train) [121][420/1879] lr: 1.0000e-03 eta: 20:10:01 time: 0.2910 data_time: 0.0259 memory: 8198 grad_norm: 6.2422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2459 loss: 1.2459 2022/08/03 08:35:38 - mmengine - INFO - Epoch(train) [121][440/1879] lr: 1.0000e-03 eta: 20:09:55 time: 0.2866 data_time: 0.0279 memory: 8198 grad_norm: 5.9679 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2265 loss: 1.2265 2022/08/03 08:35:44 - mmengine - INFO - Epoch(train) [121][460/1879] lr: 1.0000e-03 eta: 20:09:49 time: 0.2833 data_time: 0.0252 memory: 8198 grad_norm: 6.1747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1719 loss: 1.1719 2022/08/03 08:35:50 - mmengine - INFO - Epoch(train) [121][480/1879] lr: 1.0000e-03 eta: 20:09:44 time: 0.2980 data_time: 0.0205 memory: 8198 grad_norm: 6.0635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1074 loss: 1.1074 2022/08/03 08:35:55 - mmengine - INFO - Epoch(train) [121][500/1879] lr: 1.0000e-03 eta: 20:09:38 time: 0.2811 data_time: 0.0237 memory: 8198 grad_norm: 5.9068 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9539 loss: 0.9539 2022/08/03 08:36:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:36:01 - mmengine - INFO - Epoch(train) [121][520/1879] lr: 1.0000e-03 eta: 20:09:33 time: 0.2826 data_time: 0.0205 memory: 8198 grad_norm: 6.2428 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/08/03 08:36:07 - mmengine - INFO - Epoch(train) [121][540/1879] lr: 1.0000e-03 eta: 20:09:27 time: 0.2833 data_time: 0.0242 memory: 8198 grad_norm: 6.1390 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2186 loss: 1.2186 2022/08/03 08:36:12 - mmengine - INFO - Epoch(train) [121][560/1879] lr: 1.0000e-03 eta: 20:09:21 time: 0.2843 data_time: 0.0254 memory: 8198 grad_norm: 6.3236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0694 loss: 1.0694 2022/08/03 08:36:18 - mmengine - INFO - Epoch(train) [121][580/1879] lr: 1.0000e-03 eta: 20:09:15 time: 0.2840 data_time: 0.0252 memory: 8198 grad_norm: 6.1725 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2219 loss: 1.2219 2022/08/03 08:36:24 - mmengine - INFO - Epoch(train) [121][600/1879] lr: 1.0000e-03 eta: 20:09:10 time: 0.2867 data_time: 0.0259 memory: 8198 grad_norm: 6.1898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/08/03 08:36:30 - mmengine - INFO - Epoch(train) [121][620/1879] lr: 1.0000e-03 eta: 20:09:04 time: 0.2854 data_time: 0.0255 memory: 8198 grad_norm: 6.0957 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/08/03 08:36:35 - mmengine - INFO - Epoch(train) [121][640/1879] lr: 1.0000e-03 eta: 20:08:58 time: 0.2823 data_time: 0.0200 memory: 8198 grad_norm: 6.0193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1749 loss: 1.1749 2022/08/03 08:36:41 - mmengine - INFO - Epoch(train) [121][660/1879] lr: 1.0000e-03 eta: 20:08:53 time: 0.2866 data_time: 0.0210 memory: 8198 grad_norm: 6.1015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1550 loss: 1.1550 2022/08/03 08:36:47 - mmengine - INFO - Epoch(train) [121][680/1879] lr: 1.0000e-03 eta: 20:08:47 time: 0.2928 data_time: 0.0208 memory: 8198 grad_norm: 6.0395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1067 loss: 1.1067 2022/08/03 08:36:53 - mmengine - INFO - Epoch(train) [121][700/1879] lr: 1.0000e-03 eta: 20:08:42 time: 0.2905 data_time: 0.0191 memory: 8198 grad_norm: 6.0405 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9595 loss: 0.9595 2022/08/03 08:36:58 - mmengine - INFO - Epoch(train) [121][720/1879] lr: 1.0000e-03 eta: 20:08:36 time: 0.2828 data_time: 0.0211 memory: 8198 grad_norm: 6.2235 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1050 loss: 1.1050 2022/08/03 08:37:04 - mmengine - INFO - Epoch(train) [121][740/1879] lr: 1.0000e-03 eta: 20:08:30 time: 0.2856 data_time: 0.0214 memory: 8198 grad_norm: 6.2828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0641 loss: 1.0641 2022/08/03 08:37:10 - mmengine - INFO - Epoch(train) [121][760/1879] lr: 1.0000e-03 eta: 20:08:25 time: 0.2875 data_time: 0.0208 memory: 8198 grad_norm: 6.1489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2644 loss: 1.2644 2022/08/03 08:37:16 - mmengine - INFO - Epoch(train) [121][780/1879] lr: 1.0000e-03 eta: 20:08:19 time: 0.2841 data_time: 0.0223 memory: 8198 grad_norm: 6.2675 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/08/03 08:37:21 - mmengine - INFO - Epoch(train) [121][800/1879] lr: 1.0000e-03 eta: 20:08:13 time: 0.2832 data_time: 0.0221 memory: 8198 grad_norm: 6.2159 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1920 loss: 1.1920 2022/08/03 08:37:27 - mmengine - INFO - Epoch(train) [121][820/1879] lr: 1.0000e-03 eta: 20:08:08 time: 0.2902 data_time: 0.0237 memory: 8198 grad_norm: 6.2038 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0242 loss: 1.0242 2022/08/03 08:37:33 - mmengine - INFO - Epoch(train) [121][840/1879] lr: 1.0000e-03 eta: 20:08:02 time: 0.2890 data_time: 0.0196 memory: 8198 grad_norm: 6.3562 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0482 loss: 1.0482 2022/08/03 08:37:39 - mmengine - INFO - Epoch(train) [121][860/1879] lr: 1.0000e-03 eta: 20:07:56 time: 0.2851 data_time: 0.0272 memory: 8198 grad_norm: 5.9153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0166 loss: 1.0166 2022/08/03 08:37:44 - mmengine - INFO - Epoch(train) [121][880/1879] lr: 1.0000e-03 eta: 20:07:51 time: 0.2823 data_time: 0.0248 memory: 8198 grad_norm: 6.1465 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3002 loss: 1.3002 2022/08/03 08:37:50 - mmengine - INFO - Epoch(train) [121][900/1879] lr: 1.0000e-03 eta: 20:07:45 time: 0.2938 data_time: 0.0225 memory: 8198 grad_norm: 6.2952 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2093 loss: 1.2093 2022/08/03 08:37:56 - mmengine - INFO - Epoch(train) [121][920/1879] lr: 1.0000e-03 eta: 20:07:39 time: 0.2799 data_time: 0.0199 memory: 8198 grad_norm: 6.1270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1918 loss: 1.1918 2022/08/03 08:38:01 - mmengine - INFO - Epoch(train) [121][940/1879] lr: 1.0000e-03 eta: 20:07:34 time: 0.2836 data_time: 0.0242 memory: 8198 grad_norm: 5.9740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/08/03 08:38:07 - mmengine - INFO - Epoch(train) [121][960/1879] lr: 1.0000e-03 eta: 20:07:28 time: 0.2825 data_time: 0.0201 memory: 8198 grad_norm: 6.0793 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3623 loss: 1.3623 2022/08/03 08:38:13 - mmengine - INFO - Epoch(train) [121][980/1879] lr: 1.0000e-03 eta: 20:07:22 time: 0.2828 data_time: 0.0212 memory: 8198 grad_norm: 5.7497 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1302 loss: 1.1302 2022/08/03 08:38:18 - mmengine - INFO - Epoch(train) [121][1000/1879] lr: 1.0000e-03 eta: 20:07:16 time: 0.2831 data_time: 0.0188 memory: 8198 grad_norm: 6.2656 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1631 loss: 1.1631 2022/08/03 08:38:24 - mmengine - INFO - Epoch(train) [121][1020/1879] lr: 1.0000e-03 eta: 20:07:11 time: 0.2833 data_time: 0.0219 memory: 8198 grad_norm: 6.2519 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2462 loss: 1.2462 2022/08/03 08:38:30 - mmengine - INFO - Epoch(train) [121][1040/1879] lr: 1.0000e-03 eta: 20:07:05 time: 0.2858 data_time: 0.0220 memory: 8198 grad_norm: 5.8664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1533 loss: 1.1533 2022/08/03 08:38:36 - mmengine - INFO - Epoch(train) [121][1060/1879] lr: 1.0000e-03 eta: 20:06:59 time: 0.2838 data_time: 0.0223 memory: 8198 grad_norm: 6.2953 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3566 loss: 1.3566 2022/08/03 08:38:41 - mmengine - INFO - Epoch(train) [121][1080/1879] lr: 1.0000e-03 eta: 20:06:54 time: 0.2837 data_time: 0.0207 memory: 8198 grad_norm: 6.3117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1917 loss: 1.1917 2022/08/03 08:38:47 - mmengine - INFO - Epoch(train) [121][1100/1879] lr: 1.0000e-03 eta: 20:06:48 time: 0.2939 data_time: 0.0213 memory: 8198 grad_norm: 6.0536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0538 loss: 1.0538 2022/08/03 08:38:53 - mmengine - INFO - Epoch(train) [121][1120/1879] lr: 1.0000e-03 eta: 20:06:43 time: 0.2884 data_time: 0.0198 memory: 8198 grad_norm: 6.0721 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9390 loss: 0.9390 2022/08/03 08:38:59 - mmengine - INFO - Epoch(train) [121][1140/1879] lr: 1.0000e-03 eta: 20:06:37 time: 0.2899 data_time: 0.0209 memory: 8198 grad_norm: 6.0367 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0461 loss: 1.0461 2022/08/03 08:39:04 - mmengine - INFO - Epoch(train) [121][1160/1879] lr: 1.0000e-03 eta: 20:06:31 time: 0.2806 data_time: 0.0250 memory: 8198 grad_norm: 6.2646 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1374 loss: 1.1374 2022/08/03 08:39:10 - mmengine - INFO - Epoch(train) [121][1180/1879] lr: 1.0000e-03 eta: 20:06:25 time: 0.2852 data_time: 0.0261 memory: 8198 grad_norm: 6.1500 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1393 loss: 1.1393 2022/08/03 08:39:16 - mmengine - INFO - Epoch(train) [121][1200/1879] lr: 1.0000e-03 eta: 20:06:20 time: 0.2827 data_time: 0.0224 memory: 8198 grad_norm: 6.2136 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1558 loss: 1.1558 2022/08/03 08:39:22 - mmengine - INFO - Epoch(train) [121][1220/1879] lr: 1.0000e-03 eta: 20:06:14 time: 0.2873 data_time: 0.0215 memory: 8198 grad_norm: 6.1493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2068 loss: 1.2068 2022/08/03 08:39:27 - mmengine - INFO - Epoch(train) [121][1240/1879] lr: 1.0000e-03 eta: 20:06:08 time: 0.2858 data_time: 0.0225 memory: 8198 grad_norm: 6.2086 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0327 loss: 1.0327 2022/08/03 08:39:33 - mmengine - INFO - Epoch(train) [121][1260/1879] lr: 1.0000e-03 eta: 20:06:03 time: 0.2871 data_time: 0.0245 memory: 8198 grad_norm: 6.1812 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0474 loss: 1.0474 2022/08/03 08:39:39 - mmengine - INFO - Epoch(train) [121][1280/1879] lr: 1.0000e-03 eta: 20:05:57 time: 0.2857 data_time: 0.0246 memory: 8198 grad_norm: 6.3910 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3171 loss: 1.3171 2022/08/03 08:39:44 - mmengine - INFO - Epoch(train) [121][1300/1879] lr: 1.0000e-03 eta: 20:05:51 time: 0.2861 data_time: 0.0235 memory: 8198 grad_norm: 6.0341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1417 loss: 1.1417 2022/08/03 08:39:50 - mmengine - INFO - Epoch(train) [121][1320/1879] lr: 1.0000e-03 eta: 20:05:46 time: 0.2882 data_time: 0.0219 memory: 8198 grad_norm: 6.3315 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/08/03 08:39:56 - mmengine - INFO - Epoch(train) [121][1340/1879] lr: 1.0000e-03 eta: 20:05:40 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 6.1330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/08/03 08:40:02 - mmengine - INFO - Epoch(train) [121][1360/1879] lr: 1.0000e-03 eta: 20:05:34 time: 0.2850 data_time: 0.0253 memory: 8198 grad_norm: 6.0202 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1098 loss: 1.1098 2022/08/03 08:40:07 - mmengine - INFO - Epoch(train) [121][1380/1879] lr: 1.0000e-03 eta: 20:05:29 time: 0.2819 data_time: 0.0202 memory: 8198 grad_norm: 6.0708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0077 loss: 1.0077 2022/08/03 08:40:13 - mmengine - INFO - Epoch(train) [121][1400/1879] lr: 1.0000e-03 eta: 20:05:23 time: 0.2854 data_time: 0.0226 memory: 8198 grad_norm: 5.9233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0634 loss: 1.0634 2022/08/03 08:40:19 - mmengine - INFO - Epoch(train) [121][1420/1879] lr: 1.0000e-03 eta: 20:05:17 time: 0.2875 data_time: 0.0264 memory: 8198 grad_norm: 5.9888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0247 loss: 1.0247 2022/08/03 08:40:25 - mmengine - INFO - Epoch(train) [121][1440/1879] lr: 1.0000e-03 eta: 20:05:12 time: 0.2994 data_time: 0.0198 memory: 8198 grad_norm: 6.4097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/08/03 08:40:31 - mmengine - INFO - Epoch(train) [121][1460/1879] lr: 1.0000e-03 eta: 20:05:06 time: 0.2834 data_time: 0.0271 memory: 8198 grad_norm: 5.9439 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0062 loss: 1.0062 2022/08/03 08:40:36 - mmengine - INFO - Epoch(train) [121][1480/1879] lr: 1.0000e-03 eta: 20:05:01 time: 0.2820 data_time: 0.0216 memory: 8198 grad_norm: 6.2333 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0922 loss: 1.0922 2022/08/03 08:40:42 - mmengine - INFO - Epoch(train) [121][1500/1879] lr: 1.0000e-03 eta: 20:04:55 time: 0.2885 data_time: 0.0244 memory: 8198 grad_norm: 6.4376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1001 loss: 1.1001 2022/08/03 08:40:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:40:48 - mmengine - INFO - Epoch(train) [121][1520/1879] lr: 1.0000e-03 eta: 20:04:49 time: 0.2817 data_time: 0.0226 memory: 8198 grad_norm: 6.3420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1226 loss: 1.1226 2022/08/03 08:40:53 - mmengine - INFO - Epoch(train) [121][1540/1879] lr: 1.0000e-03 eta: 20:04:44 time: 0.2817 data_time: 0.0221 memory: 8198 grad_norm: 6.0604 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/08/03 08:40:59 - mmengine - INFO - Epoch(train) [121][1560/1879] lr: 1.0000e-03 eta: 20:04:38 time: 0.2880 data_time: 0.0222 memory: 8198 grad_norm: 5.9202 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1818 loss: 1.1818 2022/08/03 08:41:05 - mmengine - INFO - Epoch(train) [121][1580/1879] lr: 1.0000e-03 eta: 20:04:32 time: 0.2829 data_time: 0.0221 memory: 8198 grad_norm: 6.2280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3744 loss: 1.3744 2022/08/03 08:41:11 - mmengine - INFO - Epoch(train) [121][1600/1879] lr: 1.0000e-03 eta: 20:04:27 time: 0.2875 data_time: 0.0215 memory: 8198 grad_norm: 6.1295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2050 loss: 1.2050 2022/08/03 08:41:16 - mmengine - INFO - Epoch(train) [121][1620/1879] lr: 1.0000e-03 eta: 20:04:21 time: 0.2842 data_time: 0.0243 memory: 8198 grad_norm: 6.3132 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2625 loss: 1.2625 2022/08/03 08:41:22 - mmengine - INFO - Epoch(train) [121][1640/1879] lr: 1.0000e-03 eta: 20:04:15 time: 0.2861 data_time: 0.0214 memory: 8198 grad_norm: 6.1536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0779 loss: 1.0779 2022/08/03 08:41:28 - mmengine - INFO - Epoch(train) [121][1660/1879] lr: 1.0000e-03 eta: 20:04:10 time: 0.2890 data_time: 0.0297 memory: 8198 grad_norm: 6.2945 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1848 loss: 1.1848 2022/08/03 08:41:34 - mmengine - INFO - Epoch(train) [121][1680/1879] lr: 1.0000e-03 eta: 20:04:04 time: 0.2865 data_time: 0.0192 memory: 8198 grad_norm: 6.1955 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2397 loss: 1.2397 2022/08/03 08:41:39 - mmengine - INFO - Epoch(train) [121][1700/1879] lr: 1.0000e-03 eta: 20:03:58 time: 0.2826 data_time: 0.0186 memory: 8198 grad_norm: 6.4430 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1810 loss: 1.1810 2022/08/03 08:41:45 - mmengine - INFO - Epoch(train) [121][1720/1879] lr: 1.0000e-03 eta: 20:03:53 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 6.1376 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0494 loss: 1.0494 2022/08/03 08:41:51 - mmengine - INFO - Epoch(train) [121][1740/1879] lr: 1.0000e-03 eta: 20:03:47 time: 0.2856 data_time: 0.0234 memory: 8198 grad_norm: 6.2855 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/08/03 08:41:56 - mmengine - INFO - Epoch(train) [121][1760/1879] lr: 1.0000e-03 eta: 20:03:41 time: 0.2870 data_time: 0.0197 memory: 8198 grad_norm: 6.2344 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0631 loss: 1.0631 2022/08/03 08:42:02 - mmengine - INFO - Epoch(train) [121][1780/1879] lr: 1.0000e-03 eta: 20:03:36 time: 0.2883 data_time: 0.0224 memory: 8198 grad_norm: 6.2002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1190 loss: 1.1190 2022/08/03 08:42:08 - mmengine - INFO - Epoch(train) [121][1800/1879] lr: 1.0000e-03 eta: 20:03:30 time: 0.2834 data_time: 0.0241 memory: 8198 grad_norm: 5.9272 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9768 loss: 0.9768 2022/08/03 08:42:14 - mmengine - INFO - Epoch(train) [121][1820/1879] lr: 1.0000e-03 eta: 20:03:24 time: 0.2847 data_time: 0.0232 memory: 8198 grad_norm: 6.2458 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0973 loss: 1.0973 2022/08/03 08:42:19 - mmengine - INFO - Epoch(train) [121][1840/1879] lr: 1.0000e-03 eta: 20:03:18 time: 0.2826 data_time: 0.0234 memory: 8198 grad_norm: 6.3187 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0948 loss: 1.0948 2022/08/03 08:42:25 - mmengine - INFO - Epoch(train) [121][1860/1879] lr: 1.0000e-03 eta: 20:03:13 time: 0.2816 data_time: 0.0206 memory: 8198 grad_norm: 6.0996 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1437 loss: 1.1437 2022/08/03 08:42:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:42:30 - mmengine - INFO - Epoch(train) [121][1879/1879] lr: 1.0000e-03 eta: 20:03:13 time: 0.2680 data_time: 0.0161 memory: 8198 grad_norm: 6.1259 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1161 loss: 1.1161 2022/08/03 08:42:38 - mmengine - INFO - Epoch(train) [122][20/1879] lr: 1.0000e-03 eta: 20:02:58 time: 0.4067 data_time: 0.1210 memory: 8198 grad_norm: 6.2977 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1888 loss: 1.1888 2022/08/03 08:42:44 - mmengine - INFO - Epoch(train) [122][40/1879] lr: 1.0000e-03 eta: 20:02:53 time: 0.2866 data_time: 0.0176 memory: 8198 grad_norm: 6.2227 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0008 loss: 1.0008 2022/08/03 08:42:50 - mmengine - INFO - Epoch(train) [122][60/1879] lr: 1.0000e-03 eta: 20:02:47 time: 0.3049 data_time: 0.0236 memory: 8198 grad_norm: 6.1984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/08/03 08:42:56 - mmengine - INFO - Epoch(train) [122][80/1879] lr: 1.0000e-03 eta: 20:02:42 time: 0.2825 data_time: 0.0195 memory: 8198 grad_norm: 5.9878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1404 loss: 1.1404 2022/08/03 08:43:01 - mmengine - INFO - Epoch(train) [122][100/1879] lr: 1.0000e-03 eta: 20:02:36 time: 0.2850 data_time: 0.0202 memory: 8198 grad_norm: 6.0901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/08/03 08:43:07 - mmengine - INFO - Epoch(train) [122][120/1879] lr: 1.0000e-03 eta: 20:02:30 time: 0.2818 data_time: 0.0179 memory: 8198 grad_norm: 6.1950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4194 loss: 1.4194 2022/08/03 08:43:13 - mmengine - INFO - Epoch(train) [122][140/1879] lr: 1.0000e-03 eta: 20:02:25 time: 0.2870 data_time: 0.0252 memory: 8198 grad_norm: 6.2128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0926 loss: 1.0926 2022/08/03 08:43:19 - mmengine - INFO - Epoch(train) [122][160/1879] lr: 1.0000e-03 eta: 20:02:19 time: 0.2843 data_time: 0.0226 memory: 8198 grad_norm: 6.3149 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0769 loss: 1.0769 2022/08/03 08:43:24 - mmengine - INFO - Epoch(train) [122][180/1879] lr: 1.0000e-03 eta: 20:02:13 time: 0.2854 data_time: 0.0251 memory: 8198 grad_norm: 6.1951 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0992 loss: 1.0992 2022/08/03 08:43:30 - mmengine - INFO - Epoch(train) [122][200/1879] lr: 1.0000e-03 eta: 20:02:08 time: 0.2902 data_time: 0.0192 memory: 8198 grad_norm: 6.2665 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1494 loss: 1.1494 2022/08/03 08:43:36 - mmengine - INFO - Epoch(train) [122][220/1879] lr: 1.0000e-03 eta: 20:02:02 time: 0.2804 data_time: 0.0208 memory: 8198 grad_norm: 6.2359 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1666 loss: 1.1666 2022/08/03 08:43:42 - mmengine - INFO - Epoch(train) [122][240/1879] lr: 1.0000e-03 eta: 20:01:56 time: 0.2875 data_time: 0.0221 memory: 8198 grad_norm: 6.0899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/03 08:43:47 - mmengine - INFO - Epoch(train) [122][260/1879] lr: 1.0000e-03 eta: 20:01:51 time: 0.2854 data_time: 0.0204 memory: 8198 grad_norm: 6.2280 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2871 loss: 1.2871 2022/08/03 08:43:53 - mmengine - INFO - Epoch(train) [122][280/1879] lr: 1.0000e-03 eta: 20:01:45 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 6.0985 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9756 loss: 0.9756 2022/08/03 08:43:59 - mmengine - INFO - Epoch(train) [122][300/1879] lr: 1.0000e-03 eta: 20:01:39 time: 0.2898 data_time: 0.0252 memory: 8198 grad_norm: 6.2343 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2978 loss: 1.2978 2022/08/03 08:44:04 - mmengine - INFO - Epoch(train) [122][320/1879] lr: 1.0000e-03 eta: 20:01:34 time: 0.2832 data_time: 0.0205 memory: 8198 grad_norm: 6.2849 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2772 loss: 1.2772 2022/08/03 08:44:10 - mmengine - INFO - Epoch(train) [122][340/1879] lr: 1.0000e-03 eta: 20:01:28 time: 0.2827 data_time: 0.0168 memory: 8198 grad_norm: 6.1651 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0101 loss: 1.0101 2022/08/03 08:44:16 - mmengine - INFO - Epoch(train) [122][360/1879] lr: 1.0000e-03 eta: 20:01:22 time: 0.2838 data_time: 0.0211 memory: 8198 grad_norm: 6.1397 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1400 loss: 1.1400 2022/08/03 08:44:22 - mmengine - INFO - Epoch(train) [122][380/1879] lr: 1.0000e-03 eta: 20:01:17 time: 0.2877 data_time: 0.0278 memory: 8198 grad_norm: 6.3813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2021 loss: 1.2021 2022/08/03 08:44:27 - mmengine - INFO - Epoch(train) [122][400/1879] lr: 1.0000e-03 eta: 20:01:11 time: 0.2803 data_time: 0.0227 memory: 8198 grad_norm: 6.2255 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1227 loss: 1.1227 2022/08/03 08:44:37 - mmengine - INFO - Epoch(train) [122][420/1879] lr: 1.0000e-03 eta: 20:01:09 time: 0.4808 data_time: 0.0201 memory: 8198 grad_norm: 6.3716 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0522 loss: 1.0522 2022/08/03 08:44:43 - mmengine - INFO - Epoch(train) [122][440/1879] lr: 1.0000e-03 eta: 20:01:04 time: 0.2933 data_time: 0.0195 memory: 8198 grad_norm: 6.0417 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0463 loss: 1.0463 2022/08/03 08:44:48 - mmengine - INFO - Epoch(train) [122][460/1879] lr: 1.0000e-03 eta: 20:00:58 time: 0.2836 data_time: 0.0234 memory: 8198 grad_norm: 6.2473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1736 loss: 1.1736 2022/08/03 08:44:54 - mmengine - INFO - Epoch(train) [122][480/1879] lr: 1.0000e-03 eta: 20:00:52 time: 0.2818 data_time: 0.0254 memory: 8198 grad_norm: 6.3209 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2264 loss: 1.2264 2022/08/03 08:45:00 - mmengine - INFO - Epoch(train) [122][500/1879] lr: 1.0000e-03 eta: 20:00:47 time: 0.3051 data_time: 0.0225 memory: 8198 grad_norm: 6.1351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2767 loss: 1.2767 2022/08/03 08:45:06 - mmengine - INFO - Epoch(train) [122][520/1879] lr: 1.0000e-03 eta: 20:00:42 time: 0.2889 data_time: 0.0206 memory: 8198 grad_norm: 6.2838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3189 loss: 1.3189 2022/08/03 08:45:12 - mmengine - INFO - Epoch(train) [122][540/1879] lr: 1.0000e-03 eta: 20:00:36 time: 0.2846 data_time: 0.0245 memory: 8198 grad_norm: 6.1719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1839 loss: 1.1839 2022/08/03 08:45:17 - mmengine - INFO - Epoch(train) [122][560/1879] lr: 1.0000e-03 eta: 20:00:30 time: 0.2857 data_time: 0.0242 memory: 8198 grad_norm: 6.3167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/08/03 08:45:23 - mmengine - INFO - Epoch(train) [122][580/1879] lr: 1.0000e-03 eta: 20:00:25 time: 0.2907 data_time: 0.0218 memory: 8198 grad_norm: 6.1554 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2273 loss: 1.2273 2022/08/03 08:45:29 - mmengine - INFO - Epoch(train) [122][600/1879] lr: 1.0000e-03 eta: 20:00:19 time: 0.2831 data_time: 0.0210 memory: 8198 grad_norm: 6.3309 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2029 loss: 1.2029 2022/08/03 08:45:35 - mmengine - INFO - Epoch(train) [122][620/1879] lr: 1.0000e-03 eta: 20:00:13 time: 0.2906 data_time: 0.0266 memory: 8198 grad_norm: 6.0825 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0869 loss: 1.0869 2022/08/03 08:45:40 - mmengine - INFO - Epoch(train) [122][640/1879] lr: 1.0000e-03 eta: 20:00:08 time: 0.2864 data_time: 0.0253 memory: 8198 grad_norm: 6.0943 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/08/03 08:45:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:45:46 - mmengine - INFO - Epoch(train) [122][660/1879] lr: 1.0000e-03 eta: 20:00:02 time: 0.2959 data_time: 0.0307 memory: 8198 grad_norm: 6.2983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1479 loss: 1.1479 2022/08/03 08:45:52 - mmengine - INFO - Epoch(train) [122][680/1879] lr: 1.0000e-03 eta: 19:59:57 time: 0.2844 data_time: 0.0217 memory: 8198 grad_norm: 6.2392 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1669 loss: 1.1669 2022/08/03 08:45:58 - mmengine - INFO - Epoch(train) [122][700/1879] lr: 1.0000e-03 eta: 19:59:51 time: 0.2832 data_time: 0.0186 memory: 8198 grad_norm: 6.3030 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1191 loss: 1.1191 2022/08/03 08:46:04 - mmengine - INFO - Epoch(train) [122][720/1879] lr: 1.0000e-03 eta: 19:59:46 time: 0.2983 data_time: 0.0204 memory: 8198 grad_norm: 6.2987 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1555 loss: 1.1555 2022/08/03 08:46:09 - mmengine - INFO - Epoch(train) [122][740/1879] lr: 1.0000e-03 eta: 19:59:40 time: 0.2810 data_time: 0.0231 memory: 8198 grad_norm: 6.1304 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1677 loss: 1.1677 2022/08/03 08:46:15 - mmengine - INFO - Epoch(train) [122][760/1879] lr: 1.0000e-03 eta: 19:59:34 time: 0.2819 data_time: 0.0207 memory: 8198 grad_norm: 6.0633 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/08/03 08:46:21 - mmengine - INFO - Epoch(train) [122][780/1879] lr: 1.0000e-03 eta: 19:59:28 time: 0.2837 data_time: 0.0214 memory: 8198 grad_norm: 6.1044 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1322 loss: 1.1322 2022/08/03 08:46:27 - mmengine - INFO - Epoch(train) [122][800/1879] lr: 1.0000e-03 eta: 19:59:23 time: 0.2845 data_time: 0.0239 memory: 8198 grad_norm: 6.2139 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/08/03 08:46:32 - mmengine - INFO - Epoch(train) [122][820/1879] lr: 1.0000e-03 eta: 19:59:17 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 6.0699 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0909 loss: 1.0909 2022/08/03 08:46:38 - mmengine - INFO - Epoch(train) [122][840/1879] lr: 1.0000e-03 eta: 19:59:11 time: 0.2833 data_time: 0.0203 memory: 8198 grad_norm: 6.2751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0834 loss: 1.0834 2022/08/03 08:46:44 - mmengine - INFO - Epoch(train) [122][860/1879] lr: 1.0000e-03 eta: 19:59:06 time: 0.2905 data_time: 0.0219 memory: 8198 grad_norm: 6.2864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2233 loss: 1.2233 2022/08/03 08:46:50 - mmengine - INFO - Epoch(train) [122][880/1879] lr: 1.0000e-03 eta: 19:59:00 time: 0.2989 data_time: 0.0166 memory: 8198 grad_norm: 6.2151 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2381 loss: 1.2381 2022/08/03 08:46:55 - mmengine - INFO - Epoch(train) [122][900/1879] lr: 1.0000e-03 eta: 19:58:55 time: 0.2834 data_time: 0.0243 memory: 8198 grad_norm: 5.8903 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0193 loss: 1.0193 2022/08/03 08:47:01 - mmengine - INFO - Epoch(train) [122][920/1879] lr: 1.0000e-03 eta: 19:58:49 time: 0.2856 data_time: 0.0265 memory: 8198 grad_norm: 6.1557 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0872 loss: 1.0872 2022/08/03 08:47:07 - mmengine - INFO - Epoch(train) [122][940/1879] lr: 1.0000e-03 eta: 19:58:43 time: 0.2817 data_time: 0.0197 memory: 8198 grad_norm: 6.2593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/08/03 08:47:12 - mmengine - INFO - Epoch(train) [122][960/1879] lr: 1.0000e-03 eta: 19:58:37 time: 0.2834 data_time: 0.0274 memory: 8198 grad_norm: 6.2499 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0709 loss: 1.0709 2022/08/03 08:47:18 - mmengine - INFO - Epoch(train) [122][980/1879] lr: 1.0000e-03 eta: 19:58:32 time: 0.2838 data_time: 0.0234 memory: 8198 grad_norm: 6.1544 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1379 loss: 1.1379 2022/08/03 08:47:24 - mmengine - INFO - Epoch(train) [122][1000/1879] lr: 1.0000e-03 eta: 19:58:26 time: 0.2894 data_time: 0.0254 memory: 8198 grad_norm: 5.8895 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/03 08:47:30 - mmengine - INFO - Epoch(train) [122][1020/1879] lr: 1.0000e-03 eta: 19:58:20 time: 0.2825 data_time: 0.0222 memory: 8198 grad_norm: 6.2093 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0935 loss: 1.0935 2022/08/03 08:47:35 - mmengine - INFO - Epoch(train) [122][1040/1879] lr: 1.0000e-03 eta: 19:58:15 time: 0.2827 data_time: 0.0276 memory: 8198 grad_norm: 5.9583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1761 loss: 1.1761 2022/08/03 08:47:41 - mmengine - INFO - Epoch(train) [122][1060/1879] lr: 1.0000e-03 eta: 19:58:09 time: 0.2862 data_time: 0.0232 memory: 8198 grad_norm: 6.1037 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9898 loss: 0.9898 2022/08/03 08:47:47 - mmengine - INFO - Epoch(train) [122][1080/1879] lr: 1.0000e-03 eta: 19:58:03 time: 0.2822 data_time: 0.0220 memory: 8198 grad_norm: 6.1607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/08/03 08:47:52 - mmengine - INFO - Epoch(train) [122][1100/1879] lr: 1.0000e-03 eta: 19:57:57 time: 0.2837 data_time: 0.0243 memory: 8198 grad_norm: 6.2253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9596 loss: 0.9596 2022/08/03 08:47:58 - mmengine - INFO - Epoch(train) [122][1120/1879] lr: 1.0000e-03 eta: 19:57:52 time: 0.2834 data_time: 0.0203 memory: 8198 grad_norm: 6.2426 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1538 loss: 1.1538 2022/08/03 08:48:04 - mmengine - INFO - Epoch(train) [122][1140/1879] lr: 1.0000e-03 eta: 19:57:46 time: 0.2886 data_time: 0.0241 memory: 8198 grad_norm: 6.2979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1800 loss: 1.1800 2022/08/03 08:48:10 - mmengine - INFO - Epoch(train) [122][1160/1879] lr: 1.0000e-03 eta: 19:57:41 time: 0.2857 data_time: 0.0237 memory: 8198 grad_norm: 6.3020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2536 loss: 1.2536 2022/08/03 08:48:15 - mmengine - INFO - Epoch(train) [122][1180/1879] lr: 1.0000e-03 eta: 19:57:35 time: 0.2830 data_time: 0.0215 memory: 8198 grad_norm: 6.1859 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1275 loss: 1.1275 2022/08/03 08:48:21 - mmengine - INFO - Epoch(train) [122][1200/1879] lr: 1.0000e-03 eta: 19:57:29 time: 0.2858 data_time: 0.0205 memory: 8198 grad_norm: 6.2595 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/08/03 08:48:27 - mmengine - INFO - Epoch(train) [122][1220/1879] lr: 1.0000e-03 eta: 19:57:23 time: 0.2814 data_time: 0.0181 memory: 8198 grad_norm: 6.3071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0562 loss: 1.0562 2022/08/03 08:48:32 - mmengine - INFO - Epoch(train) [122][1240/1879] lr: 1.0000e-03 eta: 19:57:18 time: 0.2813 data_time: 0.0201 memory: 8198 grad_norm: 6.2778 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1029 loss: 1.1029 2022/08/03 08:48:38 - mmengine - INFO - Epoch(train) [122][1260/1879] lr: 1.0000e-03 eta: 19:57:12 time: 0.2826 data_time: 0.0231 memory: 8198 grad_norm: 6.1705 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1052 loss: 1.1052 2022/08/03 08:48:44 - mmengine - INFO - Epoch(train) [122][1280/1879] lr: 1.0000e-03 eta: 19:57:06 time: 0.2912 data_time: 0.0183 memory: 8198 grad_norm: 6.4103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/08/03 08:48:50 - mmengine - INFO - Epoch(train) [122][1300/1879] lr: 1.0000e-03 eta: 19:57:01 time: 0.2883 data_time: 0.0274 memory: 8198 grad_norm: 6.0691 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0585 loss: 1.0585 2022/08/03 08:48:55 - mmengine - INFO - Epoch(train) [122][1320/1879] lr: 1.0000e-03 eta: 19:56:55 time: 0.2840 data_time: 0.0178 memory: 8198 grad_norm: 5.9951 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2016 loss: 1.2016 2022/08/03 08:49:01 - mmengine - INFO - Epoch(train) [122][1340/1879] lr: 1.0000e-03 eta: 19:56:49 time: 0.2814 data_time: 0.0225 memory: 8198 grad_norm: 6.1629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2115 loss: 1.2115 2022/08/03 08:49:07 - mmengine - INFO - Epoch(train) [122][1360/1879] lr: 1.0000e-03 eta: 19:56:44 time: 0.2831 data_time: 0.0195 memory: 8198 grad_norm: 5.8908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1805 loss: 1.1805 2022/08/03 08:49:12 - mmengine - INFO - Epoch(train) [122][1380/1879] lr: 1.0000e-03 eta: 19:56:38 time: 0.2910 data_time: 0.0243 memory: 8198 grad_norm: 6.1927 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0068 loss: 1.0068 2022/08/03 08:49:18 - mmengine - INFO - Epoch(train) [122][1400/1879] lr: 1.0000e-03 eta: 19:56:32 time: 0.2810 data_time: 0.0186 memory: 8198 grad_norm: 6.1788 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9666 loss: 0.9666 2022/08/03 08:49:24 - mmengine - INFO - Epoch(train) [122][1420/1879] lr: 1.0000e-03 eta: 19:56:27 time: 0.2874 data_time: 0.0186 memory: 8198 grad_norm: 6.2736 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1896 loss: 1.1896 2022/08/03 08:49:30 - mmengine - INFO - Epoch(train) [122][1440/1879] lr: 1.0000e-03 eta: 19:56:21 time: 0.2854 data_time: 0.0220 memory: 8198 grad_norm: 6.1924 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1275 loss: 1.1275 2022/08/03 08:49:36 - mmengine - INFO - Epoch(train) [122][1460/1879] lr: 1.0000e-03 eta: 19:56:15 time: 0.2970 data_time: 0.0240 memory: 8198 grad_norm: 6.2396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0702 loss: 1.0702 2022/08/03 08:49:41 - mmengine - INFO - Epoch(train) [122][1480/1879] lr: 1.0000e-03 eta: 19:56:10 time: 0.2905 data_time: 0.0191 memory: 8198 grad_norm: 6.4876 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1361 loss: 1.1361 2022/08/03 08:49:47 - mmengine - INFO - Epoch(train) [122][1500/1879] lr: 1.0000e-03 eta: 19:56:04 time: 0.2819 data_time: 0.0211 memory: 8198 grad_norm: 6.4104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2276 loss: 1.2276 2022/08/03 08:49:53 - mmengine - INFO - Epoch(train) [122][1520/1879] lr: 1.0000e-03 eta: 19:55:59 time: 0.2976 data_time: 0.0226 memory: 8198 grad_norm: 6.0834 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1274 loss: 1.1274 2022/08/03 08:49:59 - mmengine - INFO - Epoch(train) [122][1540/1879] lr: 1.0000e-03 eta: 19:55:53 time: 0.2825 data_time: 0.0254 memory: 8198 grad_norm: 6.1190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0680 loss: 1.0680 2022/08/03 08:50:04 - mmengine - INFO - Epoch(train) [122][1560/1879] lr: 1.0000e-03 eta: 19:55:47 time: 0.2886 data_time: 0.0210 memory: 8198 grad_norm: 6.2557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1631 loss: 1.1631 2022/08/03 08:50:10 - mmengine - INFO - Epoch(train) [122][1580/1879] lr: 1.0000e-03 eta: 19:55:42 time: 0.2965 data_time: 0.0253 memory: 8198 grad_norm: 6.1229 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1867 loss: 1.1867 2022/08/03 08:50:16 - mmengine - INFO - Epoch(train) [122][1600/1879] lr: 1.0000e-03 eta: 19:55:36 time: 0.2797 data_time: 0.0221 memory: 8198 grad_norm: 6.3093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1848 loss: 1.1848 2022/08/03 08:50:22 - mmengine - INFO - Epoch(train) [122][1620/1879] lr: 1.0000e-03 eta: 19:55:30 time: 0.2806 data_time: 0.0267 memory: 8198 grad_norm: 6.2733 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1426 loss: 1.1426 2022/08/03 08:50:27 - mmengine - INFO - Epoch(train) [122][1640/1879] lr: 1.0000e-03 eta: 19:55:25 time: 0.2850 data_time: 0.0238 memory: 8198 grad_norm: 6.2702 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0799 loss: 1.0799 2022/08/03 08:50:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:50:33 - mmengine - INFO - Epoch(train) [122][1660/1879] lr: 1.0000e-03 eta: 19:55:19 time: 0.2874 data_time: 0.0222 memory: 8198 grad_norm: 6.4811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/08/03 08:50:39 - mmengine - INFO - Epoch(train) [122][1680/1879] lr: 1.0000e-03 eta: 19:55:13 time: 0.2897 data_time: 0.0258 memory: 8198 grad_norm: 6.1950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1785 loss: 1.1785 2022/08/03 08:50:45 - mmengine - INFO - Epoch(train) [122][1700/1879] lr: 1.0000e-03 eta: 19:55:08 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 6.4125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1743 loss: 1.1743 2022/08/03 08:50:50 - mmengine - INFO - Epoch(train) [122][1720/1879] lr: 1.0000e-03 eta: 19:55:02 time: 0.2832 data_time: 0.0236 memory: 8198 grad_norm: 6.3426 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2115 loss: 1.2115 2022/08/03 08:50:56 - mmengine - INFO - Epoch(train) [122][1740/1879] lr: 1.0000e-03 eta: 19:54:56 time: 0.2887 data_time: 0.0195 memory: 8198 grad_norm: 5.8732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0059 loss: 1.0059 2022/08/03 08:51:02 - mmengine - INFO - Epoch(train) [122][1760/1879] lr: 1.0000e-03 eta: 19:54:51 time: 0.2848 data_time: 0.0224 memory: 8198 grad_norm: 6.1935 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/03 08:51:08 - mmengine - INFO - Epoch(train) [122][1780/1879] lr: 1.0000e-03 eta: 19:54:45 time: 0.2825 data_time: 0.0214 memory: 8198 grad_norm: 6.2385 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0029 loss: 1.0029 2022/08/03 08:51:13 - mmengine - INFO - Epoch(train) [122][1800/1879] lr: 1.0000e-03 eta: 19:54:39 time: 0.2837 data_time: 0.0238 memory: 8198 grad_norm: 6.1905 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/08/03 08:51:19 - mmengine - INFO - Epoch(train) [122][1820/1879] lr: 1.0000e-03 eta: 19:54:34 time: 0.2822 data_time: 0.0261 memory: 8198 grad_norm: 6.4014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0774 loss: 1.0774 2022/08/03 08:51:25 - mmengine - INFO - Epoch(train) [122][1840/1879] lr: 1.0000e-03 eta: 19:54:28 time: 0.2821 data_time: 0.0217 memory: 8198 grad_norm: 6.2307 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0633 loss: 1.0633 2022/08/03 08:51:30 - mmengine - INFO - Epoch(train) [122][1860/1879] lr: 1.0000e-03 eta: 19:54:22 time: 0.2878 data_time: 0.0247 memory: 8198 grad_norm: 6.1263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2194 loss: 1.2194 2022/08/03 08:51:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:51:35 - mmengine - INFO - Epoch(train) [122][1879/1879] lr: 1.0000e-03 eta: 19:54:22 time: 0.2557 data_time: 0.0134 memory: 8198 grad_norm: 6.1885 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/08/03 08:51:44 - mmengine - INFO - Epoch(train) [123][20/1879] lr: 1.0000e-03 eta: 19:54:08 time: 0.4179 data_time: 0.0859 memory: 8198 grad_norm: 6.3094 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9834 loss: 0.9834 2022/08/03 08:51:49 - mmengine - INFO - Epoch(train) [123][40/1879] lr: 1.0000e-03 eta: 19:54:02 time: 0.2871 data_time: 0.0225 memory: 8198 grad_norm: 6.1820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0865 loss: 1.0865 2022/08/03 08:51:55 - mmengine - INFO - Epoch(train) [123][60/1879] lr: 1.0000e-03 eta: 19:53:57 time: 0.2844 data_time: 0.0224 memory: 8198 grad_norm: 5.9697 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/08/03 08:52:01 - mmengine - INFO - Epoch(train) [123][80/1879] lr: 1.0000e-03 eta: 19:53:51 time: 0.2861 data_time: 0.0181 memory: 8198 grad_norm: 6.3601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1335 loss: 1.1335 2022/08/03 08:52:07 - mmengine - INFO - Epoch(train) [123][100/1879] lr: 1.0000e-03 eta: 19:53:46 time: 0.2951 data_time: 0.0223 memory: 8198 grad_norm: 6.3097 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9226 loss: 0.9226 2022/08/03 08:52:12 - mmengine - INFO - Epoch(train) [123][120/1879] lr: 1.0000e-03 eta: 19:53:40 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 6.1344 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0786 loss: 1.0786 2022/08/03 08:52:18 - mmengine - INFO - Epoch(train) [123][140/1879] lr: 1.0000e-03 eta: 19:53:34 time: 0.2821 data_time: 0.0220 memory: 8198 grad_norm: 6.1780 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2099 loss: 1.2099 2022/08/03 08:52:24 - mmengine - INFO - Epoch(train) [123][160/1879] lr: 1.0000e-03 eta: 19:53:29 time: 0.2873 data_time: 0.0227 memory: 8198 grad_norm: 6.1675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/08/03 08:52:30 - mmengine - INFO - Epoch(train) [123][180/1879] lr: 1.0000e-03 eta: 19:53:23 time: 0.2845 data_time: 0.0263 memory: 8198 grad_norm: 6.2397 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2812 loss: 1.2812 2022/08/03 08:52:35 - mmengine - INFO - Epoch(train) [123][200/1879] lr: 1.0000e-03 eta: 19:53:17 time: 0.2830 data_time: 0.0195 memory: 8198 grad_norm: 6.1299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2475 loss: 1.2475 2022/08/03 08:52:41 - mmengine - INFO - Epoch(train) [123][220/1879] lr: 1.0000e-03 eta: 19:53:11 time: 0.2847 data_time: 0.0199 memory: 8198 grad_norm: 6.1603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9881 loss: 0.9881 2022/08/03 08:52:47 - mmengine - INFO - Epoch(train) [123][240/1879] lr: 1.0000e-03 eta: 19:53:06 time: 0.2800 data_time: 0.0200 memory: 8198 grad_norm: 6.2020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2382 loss: 1.2382 2022/08/03 08:52:52 - mmengine - INFO - Epoch(train) [123][260/1879] lr: 1.0000e-03 eta: 19:53:00 time: 0.2926 data_time: 0.0252 memory: 8198 grad_norm: 6.2986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/08/03 08:52:58 - mmengine - INFO - Epoch(train) [123][280/1879] lr: 1.0000e-03 eta: 19:52:54 time: 0.2794 data_time: 0.0167 memory: 8198 grad_norm: 6.1924 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0101 loss: 1.0101 2022/08/03 08:53:04 - mmengine - INFO - Epoch(train) [123][300/1879] lr: 1.0000e-03 eta: 19:52:49 time: 0.2848 data_time: 0.0245 memory: 8198 grad_norm: 6.0963 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8947 loss: 0.8947 2022/08/03 08:53:09 - mmengine - INFO - Epoch(train) [123][320/1879] lr: 1.0000e-03 eta: 19:52:43 time: 0.2830 data_time: 0.0216 memory: 8198 grad_norm: 6.2104 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/08/03 08:53:15 - mmengine - INFO - Epoch(train) [123][340/1879] lr: 1.0000e-03 eta: 19:52:37 time: 0.2832 data_time: 0.0234 memory: 8198 grad_norm: 6.3827 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/08/03 08:53:21 - mmengine - INFO - Epoch(train) [123][360/1879] lr: 1.0000e-03 eta: 19:52:32 time: 0.2896 data_time: 0.0258 memory: 8198 grad_norm: 6.2476 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0424 loss: 1.0424 2022/08/03 08:53:27 - mmengine - INFO - Epoch(train) [123][380/1879] lr: 1.0000e-03 eta: 19:52:26 time: 0.2832 data_time: 0.0232 memory: 8198 grad_norm: 6.1227 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0666 loss: 1.0666 2022/08/03 08:53:32 - mmengine - INFO - Epoch(train) [123][400/1879] lr: 1.0000e-03 eta: 19:52:20 time: 0.2823 data_time: 0.0246 memory: 8198 grad_norm: 6.3294 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/08/03 08:53:38 - mmengine - INFO - Epoch(train) [123][420/1879] lr: 1.0000e-03 eta: 19:52:15 time: 0.2918 data_time: 0.0225 memory: 8198 grad_norm: 6.1157 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0442 loss: 1.0442 2022/08/03 08:53:44 - mmengine - INFO - Epoch(train) [123][440/1879] lr: 1.0000e-03 eta: 19:52:09 time: 0.2857 data_time: 0.0200 memory: 8198 grad_norm: 6.4059 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/08/03 08:53:50 - mmengine - INFO - Epoch(train) [123][460/1879] lr: 1.0000e-03 eta: 19:52:04 time: 0.3057 data_time: 0.0223 memory: 8198 grad_norm: 6.2880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9939 loss: 0.9939 2022/08/03 08:53:56 - mmengine - INFO - Epoch(train) [123][480/1879] lr: 1.0000e-03 eta: 19:51:58 time: 0.2815 data_time: 0.0203 memory: 8198 grad_norm: 6.3288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0923 loss: 1.0923 2022/08/03 08:54:01 - mmengine - INFO - Epoch(train) [123][500/1879] lr: 1.0000e-03 eta: 19:51:52 time: 0.2838 data_time: 0.0232 memory: 8198 grad_norm: 6.1937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0332 loss: 1.0332 2022/08/03 08:54:07 - mmengine - INFO - Epoch(train) [123][520/1879] lr: 1.0000e-03 eta: 19:51:47 time: 0.2864 data_time: 0.0267 memory: 8198 grad_norm: 6.2336 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/08/03 08:54:13 - mmengine - INFO - Epoch(train) [123][540/1879] lr: 1.0000e-03 eta: 19:51:41 time: 0.2907 data_time: 0.0202 memory: 8198 grad_norm: 6.4277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/08/03 08:54:19 - mmengine - INFO - Epoch(train) [123][560/1879] lr: 1.0000e-03 eta: 19:51:35 time: 0.2816 data_time: 0.0221 memory: 8198 grad_norm: 6.2733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9563 loss: 0.9563 2022/08/03 08:54:24 - mmengine - INFO - Epoch(train) [123][580/1879] lr: 1.0000e-03 eta: 19:51:30 time: 0.2896 data_time: 0.0225 memory: 8198 grad_norm: 6.3262 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1004 loss: 1.1004 2022/08/03 08:54:30 - mmengine - INFO - Epoch(train) [123][600/1879] lr: 1.0000e-03 eta: 19:51:24 time: 0.2862 data_time: 0.0191 memory: 8198 grad_norm: 6.1481 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1873 loss: 1.1873 2022/08/03 08:54:36 - mmengine - INFO - Epoch(train) [123][620/1879] lr: 1.0000e-03 eta: 19:51:18 time: 0.2827 data_time: 0.0202 memory: 8198 grad_norm: 6.0780 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0502 loss: 1.0502 2022/08/03 08:54:42 - mmengine - INFO - Epoch(train) [123][640/1879] lr: 1.0000e-03 eta: 19:51:13 time: 0.2967 data_time: 0.0211 memory: 8198 grad_norm: 6.3203 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2492 loss: 1.2492 2022/08/03 08:54:47 - mmengine - INFO - Epoch(train) [123][660/1879] lr: 1.0000e-03 eta: 19:51:07 time: 0.2815 data_time: 0.0220 memory: 8198 grad_norm: 6.1007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1398 loss: 1.1398 2022/08/03 08:54:53 - mmengine - INFO - Epoch(train) [123][680/1879] lr: 1.0000e-03 eta: 19:51:01 time: 0.2827 data_time: 0.0236 memory: 8198 grad_norm: 6.2715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2159 loss: 1.2159 2022/08/03 08:54:59 - mmengine - INFO - Epoch(train) [123][700/1879] lr: 1.0000e-03 eta: 19:50:56 time: 0.2882 data_time: 0.0271 memory: 8198 grad_norm: 6.2983 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1775 loss: 1.1775 2022/08/03 08:55:05 - mmengine - INFO - Epoch(train) [123][720/1879] lr: 1.0000e-03 eta: 19:50:50 time: 0.2855 data_time: 0.0224 memory: 8198 grad_norm: 6.2631 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1524 loss: 1.1524 2022/08/03 08:55:10 - mmengine - INFO - Epoch(train) [123][740/1879] lr: 1.0000e-03 eta: 19:50:44 time: 0.2847 data_time: 0.0211 memory: 8198 grad_norm: 6.2711 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9772 loss: 0.9772 2022/08/03 08:55:16 - mmengine - INFO - Epoch(train) [123][760/1879] lr: 1.0000e-03 eta: 19:50:39 time: 0.2859 data_time: 0.0227 memory: 8198 grad_norm: 6.2382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/08/03 08:55:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 08:55:22 - mmengine - INFO - Epoch(train) [123][780/1879] lr: 1.0000e-03 eta: 19:50:33 time: 0.2910 data_time: 0.0218 memory: 8198 grad_norm: 6.1656 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1571 loss: 1.1571 2022/08/03 08:55:28 - mmengine - INFO - Epoch(train) [123][800/1879] lr: 1.0000e-03 eta: 19:50:27 time: 0.2819 data_time: 0.0244 memory: 8198 grad_norm: 6.2197 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0661 loss: 1.0661 2022/08/03 08:55:33 - mmengine - INFO - Epoch(train) [123][820/1879] lr: 1.0000e-03 eta: 19:50:22 time: 0.2864 data_time: 0.0247 memory: 8198 grad_norm: 6.1838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/08/03 08:55:39 - mmengine - INFO - Epoch(train) [123][840/1879] lr: 1.0000e-03 eta: 19:50:16 time: 0.2931 data_time: 0.0252 memory: 8198 grad_norm: 6.3229 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2122 loss: 1.2122 2022/08/03 08:55:45 - mmengine - INFO - Epoch(train) [123][860/1879] lr: 1.0000e-03 eta: 19:50:11 time: 0.2849 data_time: 0.0234 memory: 8198 grad_norm: 6.3031 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0984 loss: 1.0984 2022/08/03 08:55:51 - mmengine - INFO - Epoch(train) [123][880/1879] lr: 1.0000e-03 eta: 19:50:05 time: 0.2845 data_time: 0.0232 memory: 8198 grad_norm: 6.2043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/08/03 08:55:56 - mmengine - INFO - Epoch(train) [123][900/1879] lr: 1.0000e-03 eta: 19:49:59 time: 0.2821 data_time: 0.0296 memory: 8198 grad_norm: 6.4555 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1444 loss: 1.1444 2022/08/03 08:56:02 - mmengine - INFO - Epoch(train) [123][920/1879] lr: 1.0000e-03 eta: 19:49:53 time: 0.2814 data_time: 0.0244 memory: 8198 grad_norm: 6.0940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/08/03 08:56:08 - mmengine - INFO - Epoch(train) [123][940/1879] lr: 1.0000e-03 eta: 19:49:48 time: 0.2869 data_time: 0.0282 memory: 8198 grad_norm: 6.1800 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8038 loss: 0.8038 2022/08/03 08:56:13 - mmengine - INFO - Epoch(train) [123][960/1879] lr: 1.0000e-03 eta: 19:49:42 time: 0.2865 data_time: 0.0233 memory: 8198 grad_norm: 6.1701 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1749 loss: 1.1749 2022/08/03 08:56:19 - mmengine - INFO - Epoch(train) [123][980/1879] lr: 1.0000e-03 eta: 19:49:36 time: 0.2830 data_time: 0.0191 memory: 8198 grad_norm: 6.3264 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/08/03 08:56:25 - mmengine - INFO - Epoch(train) [123][1000/1879] lr: 1.0000e-03 eta: 19:49:31 time: 0.2869 data_time: 0.0208 memory: 8198 grad_norm: 6.5366 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1813 loss: 1.1813 2022/08/03 08:56:31 - mmengine - INFO - Epoch(train) [123][1020/1879] lr: 1.0000e-03 eta: 19:49:25 time: 0.2954 data_time: 0.0220 memory: 8198 grad_norm: 6.1766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1507 loss: 1.1507 2022/08/03 08:56:36 - mmengine - INFO - Epoch(train) [123][1040/1879] lr: 1.0000e-03 eta: 19:49:20 time: 0.2837 data_time: 0.0246 memory: 8198 grad_norm: 6.2017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0465 loss: 1.0465 2022/08/03 08:56:42 - mmengine - INFO - Epoch(train) [123][1060/1879] lr: 1.0000e-03 eta: 19:49:14 time: 0.2853 data_time: 0.0247 memory: 8198 grad_norm: 6.0585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0240 loss: 1.0240 2022/08/03 08:56:48 - mmengine - INFO - Epoch(train) [123][1080/1879] lr: 1.0000e-03 eta: 19:49:08 time: 0.2811 data_time: 0.0186 memory: 8198 grad_norm: 6.2048 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1028 loss: 1.1028 2022/08/03 08:56:54 - mmengine - INFO - Epoch(train) [123][1100/1879] lr: 1.0000e-03 eta: 19:49:02 time: 0.2829 data_time: 0.0235 memory: 8198 grad_norm: 6.3474 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1001 loss: 1.1001 2022/08/03 08:56:59 - mmengine - INFO - Epoch(train) [123][1120/1879] lr: 1.0000e-03 eta: 19:48:57 time: 0.2853 data_time: 0.0250 memory: 8198 grad_norm: 6.3412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/08/03 08:57:05 - mmengine - INFO - Epoch(train) [123][1140/1879] lr: 1.0000e-03 eta: 19:48:51 time: 0.2851 data_time: 0.0198 memory: 8198 grad_norm: 6.3839 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2029 loss: 1.2029 2022/08/03 08:57:11 - mmengine - INFO - Epoch(train) [123][1160/1879] lr: 1.0000e-03 eta: 19:48:45 time: 0.2832 data_time: 0.0212 memory: 8198 grad_norm: 6.4501 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1161 loss: 1.1161 2022/08/03 08:57:16 - mmengine - INFO - Epoch(train) [123][1180/1879] lr: 1.0000e-03 eta: 19:48:40 time: 0.2852 data_time: 0.0216 memory: 8198 grad_norm: 6.2473 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0599 loss: 1.0599 2022/08/03 08:57:22 - mmengine - INFO - Epoch(train) [123][1200/1879] lr: 1.0000e-03 eta: 19:48:34 time: 0.2906 data_time: 0.0219 memory: 8198 grad_norm: 5.9833 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1424 loss: 1.1424 2022/08/03 08:57:28 - mmengine - INFO - Epoch(train) [123][1220/1879] lr: 1.0000e-03 eta: 19:48:28 time: 0.2833 data_time: 0.0232 memory: 8198 grad_norm: 6.0816 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0434 loss: 1.0434 2022/08/03 08:57:34 - mmengine - INFO - Epoch(train) [123][1240/1879] lr: 1.0000e-03 eta: 19:48:23 time: 0.2817 data_time: 0.0247 memory: 8198 grad_norm: 6.3411 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3090 loss: 1.3090 2022/08/03 08:57:39 - mmengine - INFO - Epoch(train) [123][1260/1879] lr: 1.0000e-03 eta: 19:48:17 time: 0.2813 data_time: 0.0197 memory: 8198 grad_norm: 6.0487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1304 loss: 1.1304 2022/08/03 08:57:45 - mmengine - INFO - Epoch(train) [123][1280/1879] lr: 1.0000e-03 eta: 19:48:11 time: 0.2879 data_time: 0.0226 memory: 8198 grad_norm: 6.0487 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1163 loss: 1.1163 2022/08/03 08:57:51 - mmengine - INFO - Epoch(train) [123][1300/1879] lr: 1.0000e-03 eta: 19:48:06 time: 0.2819 data_time: 0.0238 memory: 8198 grad_norm: 6.2802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1103 loss: 1.1103 2022/08/03 08:57:56 - mmengine - INFO - Epoch(train) [123][1320/1879] lr: 1.0000e-03 eta: 19:48:00 time: 0.2828 data_time: 0.0203 memory: 8198 grad_norm: 6.3022 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1665 loss: 1.1665 2022/08/03 08:58:02 - mmengine - INFO - Epoch(train) [123][1340/1879] lr: 1.0000e-03 eta: 19:47:54 time: 0.2847 data_time: 0.0239 memory: 8198 grad_norm: 6.1996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0734 loss: 1.0734 2022/08/03 08:58:08 - mmengine - INFO - Epoch(train) [123][1360/1879] lr: 1.0000e-03 eta: 19:47:48 time: 0.2825 data_time: 0.0247 memory: 8198 grad_norm: 6.1684 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/08/03 08:58:13 - mmengine - INFO - Epoch(train) [123][1380/1879] lr: 1.0000e-03 eta: 19:47:43 time: 0.2856 data_time: 0.0205 memory: 8198 grad_norm: 6.0180 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1073 loss: 1.1073 2022/08/03 08:58:19 - mmengine - INFO - Epoch(train) [123][1400/1879] lr: 1.0000e-03 eta: 19:47:37 time: 0.2838 data_time: 0.0223 memory: 8198 grad_norm: 6.2357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0282 loss: 1.0282 2022/08/03 08:58:25 - mmengine - INFO - Epoch(train) [123][1420/1879] lr: 1.0000e-03 eta: 19:47:31 time: 0.2844 data_time: 0.0257 memory: 8198 grad_norm: 6.0779 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1047 loss: 1.1047 2022/08/03 08:58:31 - mmengine - INFO - Epoch(train) [123][1440/1879] lr: 1.0000e-03 eta: 19:47:26 time: 0.2966 data_time: 0.0243 memory: 8198 grad_norm: 6.5616 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/08/03 08:58:36 - mmengine - INFO - Epoch(train) [123][1460/1879] lr: 1.0000e-03 eta: 19:47:20 time: 0.2833 data_time: 0.0187 memory: 8198 grad_norm: 6.3268 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0466 loss: 1.0466 2022/08/03 08:58:42 - mmengine - INFO - Epoch(train) [123][1480/1879] lr: 1.0000e-03 eta: 19:47:14 time: 0.2828 data_time: 0.0184 memory: 8198 grad_norm: 6.3383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2085 loss: 1.2085 2022/08/03 08:58:48 - mmengine - INFO - Epoch(train) [123][1500/1879] lr: 1.0000e-03 eta: 19:47:09 time: 0.2846 data_time: 0.0236 memory: 8198 grad_norm: 6.2270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0672 loss: 1.0672 2022/08/03 08:58:54 - mmengine - INFO - Epoch(train) [123][1520/1879] lr: 1.0000e-03 eta: 19:47:03 time: 0.2853 data_time: 0.0201 memory: 8198 grad_norm: 6.2338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/08/03 08:58:59 - mmengine - INFO - Epoch(train) [123][1540/1879] lr: 1.0000e-03 eta: 19:46:57 time: 0.2890 data_time: 0.0224 memory: 8198 grad_norm: 6.3747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/08/03 08:59:05 - mmengine - INFO - Epoch(train) [123][1560/1879] lr: 1.0000e-03 eta: 19:46:52 time: 0.2878 data_time: 0.0241 memory: 8198 grad_norm: 6.2990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1598 loss: 1.1598 2022/08/03 08:59:11 - mmengine - INFO - Epoch(train) [123][1580/1879] lr: 1.0000e-03 eta: 19:46:46 time: 0.2852 data_time: 0.0195 memory: 8198 grad_norm: 6.3615 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1364 loss: 1.1364 2022/08/03 08:59:17 - mmengine - INFO - Epoch(train) [123][1600/1879] lr: 1.0000e-03 eta: 19:46:40 time: 0.2818 data_time: 0.0183 memory: 8198 grad_norm: 6.3206 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1205 loss: 1.1205 2022/08/03 08:59:23 - mmengine - INFO - Epoch(train) [123][1620/1879] lr: 1.0000e-03 eta: 19:46:35 time: 0.3054 data_time: 0.0228 memory: 8198 grad_norm: 6.2248 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1419 loss: 1.1419 2022/08/03 08:59:28 - mmengine - INFO - Epoch(train) [123][1640/1879] lr: 1.0000e-03 eta: 19:46:29 time: 0.2819 data_time: 0.0204 memory: 8198 grad_norm: 6.3461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1894 loss: 1.1894 2022/08/03 08:59:34 - mmengine - INFO - Epoch(train) [123][1660/1879] lr: 1.0000e-03 eta: 19:46:24 time: 0.2839 data_time: 0.0234 memory: 8198 grad_norm: 6.2166 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1139 loss: 1.1139 2022/08/03 08:59:40 - mmengine - INFO - Epoch(train) [123][1680/1879] lr: 1.0000e-03 eta: 19:46:18 time: 0.2826 data_time: 0.0207 memory: 8198 grad_norm: 6.3609 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1683 loss: 1.1683 2022/08/03 08:59:45 - mmengine - INFO - Epoch(train) [123][1700/1879] lr: 1.0000e-03 eta: 19:46:12 time: 0.2823 data_time: 0.0230 memory: 8198 grad_norm: 6.3393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7054 loss: 0.7054 2022/08/03 08:59:51 - mmengine - INFO - Epoch(train) [123][1720/1879] lr: 1.0000e-03 eta: 19:46:07 time: 0.2905 data_time: 0.0222 memory: 8198 grad_norm: 6.2596 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/08/03 08:59:57 - mmengine - INFO - Epoch(train) [123][1740/1879] lr: 1.0000e-03 eta: 19:46:01 time: 0.2823 data_time: 0.0214 memory: 8198 grad_norm: 6.2874 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/08/03 09:00:03 - mmengine - INFO - Epoch(train) [123][1760/1879] lr: 1.0000e-03 eta: 19:45:55 time: 0.2895 data_time: 0.0191 memory: 8198 grad_norm: 6.4170 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1203 loss: 1.1203 2022/08/03 09:00:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:00:08 - mmengine - INFO - Epoch(train) [123][1780/1879] lr: 1.0000e-03 eta: 19:45:50 time: 0.2864 data_time: 0.0258 memory: 8198 grad_norm: 6.2386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1228 loss: 1.1228 2022/08/03 09:00:14 - mmengine - INFO - Epoch(train) [123][1800/1879] lr: 1.0000e-03 eta: 19:45:44 time: 0.3037 data_time: 0.0180 memory: 8198 grad_norm: 6.4019 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2202 loss: 1.2202 2022/08/03 09:00:20 - mmengine - INFO - Epoch(train) [123][1820/1879] lr: 1.0000e-03 eta: 19:45:39 time: 0.2825 data_time: 0.0245 memory: 8198 grad_norm: 6.3357 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0645 loss: 1.0645 2022/08/03 09:00:26 - mmengine - INFO - Epoch(train) [123][1840/1879] lr: 1.0000e-03 eta: 19:45:33 time: 0.2890 data_time: 0.0325 memory: 8198 grad_norm: 6.1785 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1709 loss: 1.1709 2022/08/03 09:00:32 - mmengine - INFO - Epoch(train) [123][1860/1879] lr: 1.0000e-03 eta: 19:45:27 time: 0.2837 data_time: 0.0223 memory: 8198 grad_norm: 6.1784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9441 loss: 0.9441 2022/08/03 09:00:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:00:36 - mmengine - INFO - Epoch(train) [123][1879/1879] lr: 1.0000e-03 eta: 19:45:27 time: 0.2535 data_time: 0.0144 memory: 8198 grad_norm: 6.4068 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.0821 loss: 1.0821 2022/08/03 09:00:45 - mmengine - INFO - Epoch(train) [124][20/1879] lr: 1.0000e-03 eta: 19:45:13 time: 0.4021 data_time: 0.0996 memory: 8198 grad_norm: 6.2856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1237 loss: 1.1237 2022/08/03 09:00:51 - mmengine - INFO - Epoch(train) [124][40/1879] lr: 1.0000e-03 eta: 19:45:08 time: 0.3075 data_time: 0.0224 memory: 8198 grad_norm: 6.4071 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1623 loss: 1.1623 2022/08/03 09:00:56 - mmengine - INFO - Epoch(train) [124][60/1879] lr: 1.0000e-03 eta: 19:45:02 time: 0.2810 data_time: 0.0210 memory: 8198 grad_norm: 6.1166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0031 loss: 1.0031 2022/08/03 09:01:02 - mmengine - INFO - Epoch(train) [124][80/1879] lr: 1.0000e-03 eta: 19:44:56 time: 0.2883 data_time: 0.0250 memory: 8198 grad_norm: 6.0024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1541 loss: 1.1541 2022/08/03 09:01:08 - mmengine - INFO - Epoch(train) [124][100/1879] lr: 1.0000e-03 eta: 19:44:51 time: 0.2817 data_time: 0.0205 memory: 8198 grad_norm: 6.3019 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1031 loss: 1.1031 2022/08/03 09:01:14 - mmengine - INFO - Epoch(train) [124][120/1879] lr: 1.0000e-03 eta: 19:44:45 time: 0.2880 data_time: 0.0221 memory: 8198 grad_norm: 6.2083 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1961 loss: 1.1961 2022/08/03 09:01:19 - mmengine - INFO - Epoch(train) [124][140/1879] lr: 1.0000e-03 eta: 19:44:39 time: 0.2822 data_time: 0.0217 memory: 8198 grad_norm: 6.1825 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1314 loss: 1.1314 2022/08/03 09:01:25 - mmengine - INFO - Epoch(train) [124][160/1879] lr: 1.0000e-03 eta: 19:44:34 time: 0.2849 data_time: 0.0270 memory: 8198 grad_norm: 6.3550 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0129 loss: 1.0129 2022/08/03 09:01:31 - mmengine - INFO - Epoch(train) [124][180/1879] lr: 1.0000e-03 eta: 19:44:28 time: 0.2858 data_time: 0.0208 memory: 8198 grad_norm: 6.3973 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0724 loss: 1.0724 2022/08/03 09:01:36 - mmengine - INFO - Epoch(train) [124][200/1879] lr: 1.0000e-03 eta: 19:44:22 time: 0.2839 data_time: 0.0258 memory: 8198 grad_norm: 6.2411 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/08/03 09:01:42 - mmengine - INFO - Epoch(train) [124][220/1879] lr: 1.0000e-03 eta: 19:44:17 time: 0.2857 data_time: 0.0254 memory: 8198 grad_norm: 5.9940 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9637 loss: 0.9637 2022/08/03 09:01:48 - mmengine - INFO - Epoch(train) [124][240/1879] lr: 1.0000e-03 eta: 19:44:11 time: 0.2828 data_time: 0.0202 memory: 8198 grad_norm: 6.3288 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1666 loss: 1.1666 2022/08/03 09:01:53 - mmengine - INFO - Epoch(train) [124][260/1879] lr: 1.0000e-03 eta: 19:44:05 time: 0.2822 data_time: 0.0252 memory: 8198 grad_norm: 6.2465 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2019 loss: 1.2019 2022/08/03 09:01:59 - mmengine - INFO - Epoch(train) [124][280/1879] lr: 1.0000e-03 eta: 19:43:59 time: 0.2848 data_time: 0.0219 memory: 8198 grad_norm: 6.2491 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1753 loss: 1.1753 2022/08/03 09:02:05 - mmengine - INFO - Epoch(train) [124][300/1879] lr: 1.0000e-03 eta: 19:43:54 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 6.1799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0968 loss: 1.0968 2022/08/03 09:02:11 - mmengine - INFO - Epoch(train) [124][320/1879] lr: 1.0000e-03 eta: 19:43:48 time: 0.2910 data_time: 0.0219 memory: 8198 grad_norm: 5.8955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1325 loss: 1.1325 2022/08/03 09:02:17 - mmengine - INFO - Epoch(train) [124][340/1879] lr: 1.0000e-03 eta: 19:43:43 time: 0.2876 data_time: 0.0253 memory: 8198 grad_norm: 6.2143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0977 loss: 1.0977 2022/08/03 09:02:22 - mmengine - INFO - Epoch(train) [124][360/1879] lr: 1.0000e-03 eta: 19:43:37 time: 0.2870 data_time: 0.0229 memory: 8198 grad_norm: 6.3162 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2712 loss: 1.2712 2022/08/03 09:02:28 - mmengine - INFO - Epoch(train) [124][380/1879] lr: 1.0000e-03 eta: 19:43:31 time: 0.2849 data_time: 0.0190 memory: 8198 grad_norm: 6.2347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/08/03 09:02:34 - mmengine - INFO - Epoch(train) [124][400/1879] lr: 1.0000e-03 eta: 19:43:26 time: 0.3022 data_time: 0.0270 memory: 8198 grad_norm: 6.0937 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1239 loss: 1.1239 2022/08/03 09:02:40 - mmengine - INFO - Epoch(train) [124][420/1879] lr: 1.0000e-03 eta: 19:43:20 time: 0.2818 data_time: 0.0239 memory: 8198 grad_norm: 6.1625 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1134 loss: 1.1134 2022/08/03 09:02:45 - mmengine - INFO - Epoch(train) [124][440/1879] lr: 1.0000e-03 eta: 19:43:14 time: 0.2830 data_time: 0.0230 memory: 8198 grad_norm: 6.2829 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1210 loss: 1.1210 2022/08/03 09:02:51 - mmengine - INFO - Epoch(train) [124][460/1879] lr: 1.0000e-03 eta: 19:43:09 time: 0.2986 data_time: 0.0253 memory: 8198 grad_norm: 6.2272 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2010 loss: 1.2010 2022/08/03 09:02:57 - mmengine - INFO - Epoch(train) [124][480/1879] lr: 1.0000e-03 eta: 19:43:03 time: 0.2806 data_time: 0.0204 memory: 8198 grad_norm: 6.0518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0249 loss: 1.0249 2022/08/03 09:03:03 - mmengine - INFO - Epoch(train) [124][500/1879] lr: 1.0000e-03 eta: 19:42:58 time: 0.2859 data_time: 0.0202 memory: 8198 grad_norm: 6.1832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1535 loss: 1.1535 2022/08/03 09:03:08 - mmengine - INFO - Epoch(train) [124][520/1879] lr: 1.0000e-03 eta: 19:42:52 time: 0.2806 data_time: 0.0195 memory: 8198 grad_norm: 6.1384 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2842 loss: 1.2842 2022/08/03 09:03:14 - mmengine - INFO - Epoch(train) [124][540/1879] lr: 1.0000e-03 eta: 19:42:46 time: 0.2878 data_time: 0.0277 memory: 8198 grad_norm: 6.3077 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1986 loss: 1.1986 2022/08/03 09:03:20 - mmengine - INFO - Epoch(train) [124][560/1879] lr: 1.0000e-03 eta: 19:42:40 time: 0.2849 data_time: 0.0261 memory: 8198 grad_norm: 6.0827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/08/03 09:03:26 - mmengine - INFO - Epoch(train) [124][580/1879] lr: 1.0000e-03 eta: 19:42:35 time: 0.2838 data_time: 0.0231 memory: 8198 grad_norm: 6.1447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2204 loss: 1.2204 2022/08/03 09:03:31 - mmengine - INFO - Epoch(train) [124][600/1879] lr: 1.0000e-03 eta: 19:42:29 time: 0.2879 data_time: 0.0218 memory: 8198 grad_norm: 6.2326 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1046 loss: 1.1046 2022/08/03 09:03:37 - mmengine - INFO - Epoch(train) [124][620/1879] lr: 1.0000e-03 eta: 19:42:23 time: 0.2848 data_time: 0.0279 memory: 8198 grad_norm: 6.0540 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/08/03 09:03:43 - mmengine - INFO - Epoch(train) [124][640/1879] lr: 1.0000e-03 eta: 19:42:18 time: 0.2874 data_time: 0.0234 memory: 8198 grad_norm: 6.5428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1632 loss: 1.1632 2022/08/03 09:03:49 - mmengine - INFO - Epoch(train) [124][660/1879] lr: 1.0000e-03 eta: 19:42:12 time: 0.2860 data_time: 0.0254 memory: 8198 grad_norm: 6.3896 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/08/03 09:03:54 - mmengine - INFO - Epoch(train) [124][680/1879] lr: 1.0000e-03 eta: 19:42:06 time: 0.2830 data_time: 0.0218 memory: 8198 grad_norm: 6.4263 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1827 loss: 1.1827 2022/08/03 09:04:00 - mmengine - INFO - Epoch(train) [124][700/1879] lr: 1.0000e-03 eta: 19:42:01 time: 0.2837 data_time: 0.0265 memory: 8198 grad_norm: 6.3421 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2027 loss: 1.2027 2022/08/03 09:04:06 - mmengine - INFO - Epoch(train) [124][720/1879] lr: 1.0000e-03 eta: 19:41:55 time: 0.2840 data_time: 0.0221 memory: 8198 grad_norm: 6.2390 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9790 loss: 0.9790 2022/08/03 09:04:11 - mmengine - INFO - Epoch(train) [124][740/1879] lr: 1.0000e-03 eta: 19:41:49 time: 0.2824 data_time: 0.0205 memory: 8198 grad_norm: 6.3470 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/08/03 09:04:17 - mmengine - INFO - Epoch(train) [124][760/1879] lr: 1.0000e-03 eta: 19:41:44 time: 0.2862 data_time: 0.0216 memory: 8198 grad_norm: 6.3305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0553 loss: 1.0553 2022/08/03 09:04:23 - mmengine - INFO - Epoch(train) [124][780/1879] lr: 1.0000e-03 eta: 19:41:38 time: 0.2852 data_time: 0.0236 memory: 8198 grad_norm: 6.1532 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8598 loss: 0.8598 2022/08/03 09:04:29 - mmengine - INFO - Epoch(train) [124][800/1879] lr: 1.0000e-03 eta: 19:41:32 time: 0.2853 data_time: 0.0237 memory: 8198 grad_norm: 6.3322 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0591 loss: 1.0591 2022/08/03 09:04:34 - mmengine - INFO - Epoch(train) [124][820/1879] lr: 1.0000e-03 eta: 19:41:27 time: 0.2810 data_time: 0.0183 memory: 8198 grad_norm: 6.0287 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0298 loss: 1.0298 2022/08/03 09:04:40 - mmengine - INFO - Epoch(train) [124][840/1879] lr: 1.0000e-03 eta: 19:41:21 time: 0.2887 data_time: 0.0186 memory: 8198 grad_norm: 6.0560 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0671 loss: 1.0671 2022/08/03 09:04:46 - mmengine - INFO - Epoch(train) [124][860/1879] lr: 1.0000e-03 eta: 19:41:15 time: 0.2907 data_time: 0.0219 memory: 8198 grad_norm: 6.1790 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1737 loss: 1.1737 2022/08/03 09:04:53 - mmengine - INFO - Epoch(train) [124][880/1879] lr: 1.0000e-03 eta: 19:41:11 time: 0.3683 data_time: 0.0172 memory: 8198 grad_norm: 6.3411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3646 loss: 1.3646 2022/08/03 09:04:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:04:59 - mmengine - INFO - Epoch(train) [124][900/1879] lr: 1.0000e-03 eta: 19:41:06 time: 0.2923 data_time: 0.0202 memory: 8198 grad_norm: 6.2634 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0903 loss: 1.0903 2022/08/03 09:05:05 - mmengine - INFO - Epoch(train) [124][920/1879] lr: 1.0000e-03 eta: 19:41:00 time: 0.2843 data_time: 0.0248 memory: 8198 grad_norm: 6.3162 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/08/03 09:05:11 - mmengine - INFO - Epoch(train) [124][940/1879] lr: 1.0000e-03 eta: 19:40:55 time: 0.3072 data_time: 0.0212 memory: 8198 grad_norm: 6.0508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1093 loss: 1.1093 2022/08/03 09:05:17 - mmengine - INFO - Epoch(train) [124][960/1879] lr: 1.0000e-03 eta: 19:40:49 time: 0.2829 data_time: 0.0195 memory: 8198 grad_norm: 6.3784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1749 loss: 1.1749 2022/08/03 09:05:22 - mmengine - INFO - Epoch(train) [124][980/1879] lr: 1.0000e-03 eta: 19:40:44 time: 0.2873 data_time: 0.0261 memory: 8198 grad_norm: 6.1741 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2471 loss: 1.2471 2022/08/03 09:05:28 - mmengine - INFO - Epoch(train) [124][1000/1879] lr: 1.0000e-03 eta: 19:40:38 time: 0.2896 data_time: 0.0186 memory: 8198 grad_norm: 6.3090 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1626 loss: 1.1626 2022/08/03 09:05:34 - mmengine - INFO - Epoch(train) [124][1020/1879] lr: 1.0000e-03 eta: 19:40:32 time: 0.2842 data_time: 0.0211 memory: 8198 grad_norm: 6.4743 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3046 loss: 1.3046 2022/08/03 09:05:40 - mmengine - INFO - Epoch(train) [124][1040/1879] lr: 1.0000e-03 eta: 19:40:27 time: 0.2825 data_time: 0.0217 memory: 8198 grad_norm: 6.3303 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0767 loss: 1.0767 2022/08/03 09:05:45 - mmengine - INFO - Epoch(train) [124][1060/1879] lr: 1.0000e-03 eta: 19:40:21 time: 0.2890 data_time: 0.0267 memory: 8198 grad_norm: 6.3607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2366 loss: 1.2366 2022/08/03 09:05:51 - mmengine - INFO - Epoch(train) [124][1080/1879] lr: 1.0000e-03 eta: 19:40:15 time: 0.2828 data_time: 0.0221 memory: 8198 grad_norm: 6.1723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/08/03 09:05:57 - mmengine - INFO - Epoch(train) [124][1100/1879] lr: 1.0000e-03 eta: 19:40:10 time: 0.2825 data_time: 0.0202 memory: 8198 grad_norm: 6.2055 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1202 loss: 1.1202 2022/08/03 09:06:03 - mmengine - INFO - Epoch(train) [124][1120/1879] lr: 1.0000e-03 eta: 19:40:04 time: 0.2994 data_time: 0.0252 memory: 8198 grad_norm: 6.2162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0094 loss: 1.0094 2022/08/03 09:06:08 - mmengine - INFO - Epoch(train) [124][1140/1879] lr: 1.0000e-03 eta: 19:39:58 time: 0.2795 data_time: 0.0219 memory: 8198 grad_norm: 6.1903 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0167 loss: 1.0167 2022/08/03 09:06:14 - mmengine - INFO - Epoch(train) [124][1160/1879] lr: 1.0000e-03 eta: 19:39:53 time: 0.2842 data_time: 0.0215 memory: 8198 grad_norm: 6.3702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1637 loss: 1.1637 2022/08/03 09:06:20 - mmengine - INFO - Epoch(train) [124][1180/1879] lr: 1.0000e-03 eta: 19:39:47 time: 0.2864 data_time: 0.0246 memory: 8198 grad_norm: 6.3342 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/03 09:06:26 - mmengine - INFO - Epoch(train) [124][1200/1879] lr: 1.0000e-03 eta: 19:39:41 time: 0.2895 data_time: 0.0196 memory: 8198 grad_norm: 6.2818 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1562 loss: 1.1562 2022/08/03 09:06:31 - mmengine - INFO - Epoch(train) [124][1220/1879] lr: 1.0000e-03 eta: 19:39:36 time: 0.2853 data_time: 0.0247 memory: 8198 grad_norm: 6.3963 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0481 loss: 1.0481 2022/08/03 09:06:37 - mmengine - INFO - Epoch(train) [124][1240/1879] lr: 1.0000e-03 eta: 19:39:30 time: 0.2819 data_time: 0.0213 memory: 8198 grad_norm: 6.2512 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2106 loss: 1.2106 2022/08/03 09:06:43 - mmengine - INFO - Epoch(train) [124][1260/1879] lr: 1.0000e-03 eta: 19:39:24 time: 0.2906 data_time: 0.0232 memory: 8198 grad_norm: 6.3797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9933 loss: 0.9933 2022/08/03 09:06:48 - mmengine - INFO - Epoch(train) [124][1280/1879] lr: 1.0000e-03 eta: 19:39:19 time: 0.2834 data_time: 0.0214 memory: 8198 grad_norm: 6.3922 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1609 loss: 1.1609 2022/08/03 09:06:54 - mmengine - INFO - Epoch(train) [124][1300/1879] lr: 1.0000e-03 eta: 19:39:13 time: 0.2840 data_time: 0.0222 memory: 8198 grad_norm: 6.5202 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/08/03 09:07:00 - mmengine - INFO - Epoch(train) [124][1320/1879] lr: 1.0000e-03 eta: 19:39:07 time: 0.2846 data_time: 0.0207 memory: 8198 grad_norm: 6.2781 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0337 loss: 1.0337 2022/08/03 09:07:06 - mmengine - INFO - Epoch(train) [124][1340/1879] lr: 1.0000e-03 eta: 19:39:02 time: 0.2970 data_time: 0.0198 memory: 8198 grad_norm: 6.4467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9791 loss: 0.9791 2022/08/03 09:07:11 - mmengine - INFO - Epoch(train) [124][1360/1879] lr: 1.0000e-03 eta: 19:38:56 time: 0.2827 data_time: 0.0237 memory: 8198 grad_norm: 6.3564 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/08/03 09:07:17 - mmengine - INFO - Epoch(train) [124][1380/1879] lr: 1.0000e-03 eta: 19:38:51 time: 0.2851 data_time: 0.0224 memory: 8198 grad_norm: 6.2019 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0633 loss: 1.0633 2022/08/03 09:07:23 - mmengine - INFO - Epoch(train) [124][1400/1879] lr: 1.0000e-03 eta: 19:38:45 time: 0.2857 data_time: 0.0250 memory: 8198 grad_norm: 6.5189 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0937 loss: 1.0937 2022/08/03 09:07:29 - mmengine - INFO - Epoch(train) [124][1420/1879] lr: 1.0000e-03 eta: 19:38:39 time: 0.2851 data_time: 0.0269 memory: 8198 grad_norm: 6.2709 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1013 loss: 1.1013 2022/08/03 09:07:34 - mmengine - INFO - Epoch(train) [124][1440/1879] lr: 1.0000e-03 eta: 19:38:33 time: 0.2851 data_time: 0.0272 memory: 8198 grad_norm: 6.2973 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2834 loss: 1.2834 2022/08/03 09:07:40 - mmengine - INFO - Epoch(train) [124][1460/1879] lr: 1.0000e-03 eta: 19:38:28 time: 0.2860 data_time: 0.0230 memory: 8198 grad_norm: 6.3614 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0967 loss: 1.0967 2022/08/03 09:07:46 - mmengine - INFO - Epoch(train) [124][1480/1879] lr: 1.0000e-03 eta: 19:38:22 time: 0.2847 data_time: 0.0208 memory: 8198 grad_norm: 6.4352 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1745 loss: 1.1745 2022/08/03 09:07:52 - mmengine - INFO - Epoch(train) [124][1500/1879] lr: 1.0000e-03 eta: 19:38:16 time: 0.2867 data_time: 0.0241 memory: 8198 grad_norm: 6.0694 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/08/03 09:07:57 - mmengine - INFO - Epoch(train) [124][1520/1879] lr: 1.0000e-03 eta: 19:38:11 time: 0.2870 data_time: 0.0267 memory: 8198 grad_norm: 6.2946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2613 loss: 1.2613 2022/08/03 09:08:03 - mmengine - INFO - Epoch(train) [124][1540/1879] lr: 1.0000e-03 eta: 19:38:06 time: 0.3029 data_time: 0.0202 memory: 8198 grad_norm: 6.4772 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/08/03 09:08:09 - mmengine - INFO - Epoch(train) [124][1560/1879] lr: 1.0000e-03 eta: 19:38:00 time: 0.2845 data_time: 0.0208 memory: 8198 grad_norm: 6.3630 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0345 loss: 1.0345 2022/08/03 09:08:15 - mmengine - INFO - Epoch(train) [124][1580/1879] lr: 1.0000e-03 eta: 19:37:54 time: 0.2834 data_time: 0.0214 memory: 8198 grad_norm: 6.3183 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1424 loss: 1.1424 2022/08/03 09:08:20 - mmengine - INFO - Epoch(train) [124][1600/1879] lr: 1.0000e-03 eta: 19:37:48 time: 0.2812 data_time: 0.0227 memory: 8198 grad_norm: 6.4749 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0362 loss: 1.0362 2022/08/03 09:08:26 - mmengine - INFO - Epoch(train) [124][1620/1879] lr: 1.0000e-03 eta: 19:37:43 time: 0.2894 data_time: 0.0235 memory: 8198 grad_norm: 6.3585 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0426 loss: 1.0426 2022/08/03 09:08:32 - mmengine - INFO - Epoch(train) [124][1640/1879] lr: 1.0000e-03 eta: 19:37:37 time: 0.2836 data_time: 0.0199 memory: 8198 grad_norm: 6.2077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/08/03 09:08:38 - mmengine - INFO - Epoch(train) [124][1660/1879] lr: 1.0000e-03 eta: 19:37:31 time: 0.2844 data_time: 0.0214 memory: 8198 grad_norm: 6.2082 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/08/03 09:08:43 - mmengine - INFO - Epoch(train) [124][1680/1879] lr: 1.0000e-03 eta: 19:37:26 time: 0.2885 data_time: 0.0212 memory: 8198 grad_norm: 6.3875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9369 loss: 0.9369 2022/08/03 09:08:49 - mmengine - INFO - Epoch(train) [124][1700/1879] lr: 1.0000e-03 eta: 19:37:20 time: 0.2815 data_time: 0.0260 memory: 8198 grad_norm: 6.4599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0853 loss: 1.0853 2022/08/03 09:08:55 - mmengine - INFO - Epoch(train) [124][1720/1879] lr: 1.0000e-03 eta: 19:37:14 time: 0.2848 data_time: 0.0240 memory: 8198 grad_norm: 6.2276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2137 loss: 1.2137 2022/08/03 09:09:01 - mmengine - INFO - Epoch(train) [124][1740/1879] lr: 1.0000e-03 eta: 19:37:09 time: 0.2845 data_time: 0.0238 memory: 8198 grad_norm: 6.2744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1473 loss: 1.1473 2022/08/03 09:09:06 - mmengine - INFO - Epoch(train) [124][1760/1879] lr: 1.0000e-03 eta: 19:37:03 time: 0.2900 data_time: 0.0231 memory: 8198 grad_norm: 6.1717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1720 loss: 1.1720 2022/08/03 09:09:12 - mmengine - INFO - Epoch(train) [124][1780/1879] lr: 1.0000e-03 eta: 19:36:57 time: 0.2846 data_time: 0.0213 memory: 8198 grad_norm: 6.1238 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2107 loss: 1.2107 2022/08/03 09:09:18 - mmengine - INFO - Epoch(train) [124][1800/1879] lr: 1.0000e-03 eta: 19:36:52 time: 0.2842 data_time: 0.0200 memory: 8198 grad_norm: 6.2611 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/08/03 09:09:24 - mmengine - INFO - Epoch(train) [124][1820/1879] lr: 1.0000e-03 eta: 19:36:46 time: 0.2873 data_time: 0.0251 memory: 8198 grad_norm: 6.0364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/08/03 09:09:29 - mmengine - INFO - Epoch(train) [124][1840/1879] lr: 1.0000e-03 eta: 19:36:40 time: 0.2851 data_time: 0.0215 memory: 8198 grad_norm: 6.4405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1997 loss: 1.1997 2022/08/03 09:09:35 - mmengine - INFO - Epoch(train) [124][1860/1879] lr: 1.0000e-03 eta: 19:36:35 time: 0.2981 data_time: 0.0260 memory: 8198 grad_norm: 6.1265 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/08/03 09:09:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:09:40 - mmengine - INFO - Epoch(train) [124][1879/1879] lr: 1.0000e-03 eta: 19:36:35 time: 0.2541 data_time: 0.0149 memory: 8198 grad_norm: 6.3863 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.2747 loss: 1.2747 2022/08/03 09:09:40 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/08/03 09:09:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:09:49 - mmengine - INFO - Epoch(train) [125][20/1879] lr: 1.0000e-03 eta: 19:36:20 time: 0.3585 data_time: 0.1002 memory: 8198 grad_norm: 6.0838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1727 loss: 1.1727 2022/08/03 09:09:55 - mmengine - INFO - Epoch(train) [125][40/1879] lr: 1.0000e-03 eta: 19:36:14 time: 0.2863 data_time: 0.0231 memory: 8198 grad_norm: 6.4842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/08/03 09:10:01 - mmengine - INFO - Epoch(train) [125][60/1879] lr: 1.0000e-03 eta: 19:36:08 time: 0.2853 data_time: 0.0264 memory: 8198 grad_norm: 6.2965 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/08/03 09:10:07 - mmengine - INFO - Epoch(train) [125][80/1879] lr: 1.0000e-03 eta: 19:36:03 time: 0.3058 data_time: 0.0260 memory: 8198 grad_norm: 6.2175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/08/03 09:10:13 - mmengine - INFO - Epoch(train) [125][100/1879] lr: 1.0000e-03 eta: 19:35:57 time: 0.2828 data_time: 0.0228 memory: 8198 grad_norm: 6.2061 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0255 loss: 1.0255 2022/08/03 09:10:19 - mmengine - INFO - Epoch(train) [125][120/1879] lr: 1.0000e-03 eta: 19:35:52 time: 0.2878 data_time: 0.0254 memory: 8198 grad_norm: 6.1508 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0267 loss: 1.0267 2022/08/03 09:10:24 - mmengine - INFO - Epoch(train) [125][140/1879] lr: 1.0000e-03 eta: 19:35:46 time: 0.2897 data_time: 0.0247 memory: 8198 grad_norm: 6.4297 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0889 loss: 1.0889 2022/08/03 09:10:30 - mmengine - INFO - Epoch(train) [125][160/1879] lr: 1.0000e-03 eta: 19:35:40 time: 0.2835 data_time: 0.0161 memory: 8198 grad_norm: 6.1346 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0052 loss: 1.0052 2022/08/03 09:10:36 - mmengine - INFO - Epoch(train) [125][180/1879] lr: 1.0000e-03 eta: 19:35:35 time: 0.2872 data_time: 0.0224 memory: 8198 grad_norm: 6.2610 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0870 loss: 1.0870 2022/08/03 09:10:41 - mmengine - INFO - Epoch(train) [125][200/1879] lr: 1.0000e-03 eta: 19:35:29 time: 0.2829 data_time: 0.0214 memory: 8198 grad_norm: 6.3236 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2188 loss: 1.2188 2022/08/03 09:10:47 - mmengine - INFO - Epoch(train) [125][220/1879] lr: 1.0000e-03 eta: 19:35:23 time: 0.2842 data_time: 0.0248 memory: 8198 grad_norm: 6.3399 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9769 loss: 0.9769 2022/08/03 09:10:53 - mmengine - INFO - Epoch(train) [125][240/1879] lr: 1.0000e-03 eta: 19:35:18 time: 0.2935 data_time: 0.0217 memory: 8198 grad_norm: 6.2687 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1862 loss: 1.1862 2022/08/03 09:10:59 - mmengine - INFO - Epoch(train) [125][260/1879] lr: 1.0000e-03 eta: 19:35:12 time: 0.2856 data_time: 0.0301 memory: 8198 grad_norm: 6.1570 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0838 loss: 1.0838 2022/08/03 09:11:04 - mmengine - INFO - Epoch(train) [125][280/1879] lr: 1.0000e-03 eta: 19:35:06 time: 0.2812 data_time: 0.0212 memory: 8198 grad_norm: 6.3775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0989 loss: 1.0989 2022/08/03 09:11:10 - mmengine - INFO - Epoch(train) [125][300/1879] lr: 1.0000e-03 eta: 19:35:01 time: 0.2830 data_time: 0.0209 memory: 8198 grad_norm: 6.4761 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1134 loss: 1.1134 2022/08/03 09:11:16 - mmengine - INFO - Epoch(train) [125][320/1879] lr: 1.0000e-03 eta: 19:34:55 time: 0.2932 data_time: 0.0213 memory: 8198 grad_norm: 6.0257 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1975 loss: 1.1975 2022/08/03 09:11:22 - mmengine - INFO - Epoch(train) [125][340/1879] lr: 1.0000e-03 eta: 19:34:49 time: 0.2815 data_time: 0.0217 memory: 8198 grad_norm: 6.4023 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1614 loss: 1.1614 2022/08/03 09:11:27 - mmengine - INFO - Epoch(train) [125][360/1879] lr: 1.0000e-03 eta: 19:34:44 time: 0.2820 data_time: 0.0224 memory: 8198 grad_norm: 6.1230 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0677 loss: 1.0677 2022/08/03 09:11:33 - mmengine - INFO - Epoch(train) [125][380/1879] lr: 1.0000e-03 eta: 19:34:38 time: 0.2855 data_time: 0.0245 memory: 8198 grad_norm: 6.3457 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1177 loss: 1.1177 2022/08/03 09:11:39 - mmengine - INFO - Epoch(train) [125][400/1879] lr: 1.0000e-03 eta: 19:34:32 time: 0.2832 data_time: 0.0191 memory: 8198 grad_norm: 6.3536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1209 loss: 1.1209 2022/08/03 09:11:44 - mmengine - INFO - Epoch(train) [125][420/1879] lr: 1.0000e-03 eta: 19:34:27 time: 0.2878 data_time: 0.0197 memory: 8198 grad_norm: 6.1320 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0555 loss: 1.0555 2022/08/03 09:11:50 - mmengine - INFO - Epoch(train) [125][440/1879] lr: 1.0000e-03 eta: 19:34:21 time: 0.2868 data_time: 0.0226 memory: 8198 grad_norm: 6.0339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/08/03 09:11:56 - mmengine - INFO - Epoch(train) [125][460/1879] lr: 1.0000e-03 eta: 19:34:15 time: 0.2889 data_time: 0.0185 memory: 8198 grad_norm: 6.1324 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2850 loss: 1.2850 2022/08/03 09:12:02 - mmengine - INFO - Epoch(train) [125][480/1879] lr: 1.0000e-03 eta: 19:34:10 time: 0.2856 data_time: 0.0201 memory: 8198 grad_norm: 6.2831 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0859 loss: 1.0859 2022/08/03 09:12:07 - mmengine - INFO - Epoch(train) [125][500/1879] lr: 1.0000e-03 eta: 19:34:04 time: 0.2809 data_time: 0.0210 memory: 8198 grad_norm: 6.1015 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9077 loss: 0.9077 2022/08/03 09:12:13 - mmengine - INFO - Epoch(train) [125][520/1879] lr: 1.0000e-03 eta: 19:33:58 time: 0.2865 data_time: 0.0232 memory: 8198 grad_norm: 6.1767 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9936 loss: 0.9936 2022/08/03 09:12:19 - mmengine - INFO - Epoch(train) [125][540/1879] lr: 1.0000e-03 eta: 19:33:53 time: 0.2848 data_time: 0.0269 memory: 8198 grad_norm: 6.5358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0504 loss: 1.0504 2022/08/03 09:12:25 - mmengine - INFO - Epoch(train) [125][560/1879] lr: 1.0000e-03 eta: 19:33:47 time: 0.2842 data_time: 0.0202 memory: 8198 grad_norm: 6.2554 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/08/03 09:12:30 - mmengine - INFO - Epoch(train) [125][580/1879] lr: 1.0000e-03 eta: 19:33:41 time: 0.2902 data_time: 0.0259 memory: 8198 grad_norm: 6.4789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/08/03 09:12:36 - mmengine - INFO - Epoch(train) [125][600/1879] lr: 1.0000e-03 eta: 19:33:36 time: 0.2846 data_time: 0.0251 memory: 8198 grad_norm: 6.4237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1669 loss: 1.1669 2022/08/03 09:12:42 - mmengine - INFO - Epoch(train) [125][620/1879] lr: 1.0000e-03 eta: 19:33:30 time: 0.2847 data_time: 0.0210 memory: 8198 grad_norm: 6.2298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/08/03 09:12:47 - mmengine - INFO - Epoch(train) [125][640/1879] lr: 1.0000e-03 eta: 19:33:24 time: 0.2827 data_time: 0.0258 memory: 8198 grad_norm: 6.2566 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9879 loss: 0.9879 2022/08/03 09:12:53 - mmengine - INFO - Epoch(train) [125][660/1879] lr: 1.0000e-03 eta: 19:33:19 time: 0.2841 data_time: 0.0222 memory: 8198 grad_norm: 6.4071 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/08/03 09:12:59 - mmengine - INFO - Epoch(train) [125][680/1879] lr: 1.0000e-03 eta: 19:33:13 time: 0.2829 data_time: 0.0198 memory: 8198 grad_norm: 6.2814 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9037 loss: 0.9037 2022/08/03 09:13:04 - mmengine - INFO - Epoch(train) [125][700/1879] lr: 1.0000e-03 eta: 19:33:07 time: 0.2813 data_time: 0.0212 memory: 8198 grad_norm: 6.2688 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0244 loss: 1.0244 2022/08/03 09:13:10 - mmengine - INFO - Epoch(train) [125][720/1879] lr: 1.0000e-03 eta: 19:33:01 time: 0.2837 data_time: 0.0234 memory: 8198 grad_norm: 6.3150 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0955 loss: 1.0955 2022/08/03 09:13:16 - mmengine - INFO - Epoch(train) [125][740/1879] lr: 1.0000e-03 eta: 19:32:56 time: 0.2868 data_time: 0.0194 memory: 8198 grad_norm: 6.2897 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2372 loss: 1.2372 2022/08/03 09:13:22 - mmengine - INFO - Epoch(train) [125][760/1879] lr: 1.0000e-03 eta: 19:32:50 time: 0.2879 data_time: 0.0265 memory: 8198 grad_norm: 6.4935 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0164 loss: 1.0164 2022/08/03 09:13:27 - mmengine - INFO - Epoch(train) [125][780/1879] lr: 1.0000e-03 eta: 19:32:44 time: 0.2835 data_time: 0.0226 memory: 8198 grad_norm: 6.5269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2576 loss: 1.2576 2022/08/03 09:13:33 - mmengine - INFO - Epoch(train) [125][800/1879] lr: 1.0000e-03 eta: 19:32:39 time: 0.2899 data_time: 0.0196 memory: 8198 grad_norm: 6.3467 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/08/03 09:13:39 - mmengine - INFO - Epoch(train) [125][820/1879] lr: 1.0000e-03 eta: 19:32:33 time: 0.2822 data_time: 0.0242 memory: 8198 grad_norm: 6.4239 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2255 loss: 1.2255 2022/08/03 09:13:45 - mmengine - INFO - Epoch(train) [125][840/1879] lr: 1.0000e-03 eta: 19:32:27 time: 0.2845 data_time: 0.0206 memory: 8198 grad_norm: 6.1901 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2269 loss: 1.2269 2022/08/03 09:13:50 - mmengine - INFO - Epoch(train) [125][860/1879] lr: 1.0000e-03 eta: 19:32:22 time: 0.2838 data_time: 0.0234 memory: 8198 grad_norm: 6.3147 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1011 loss: 1.1011 2022/08/03 09:13:56 - mmengine - INFO - Epoch(train) [125][880/1879] lr: 1.0000e-03 eta: 19:32:16 time: 0.2955 data_time: 0.0196 memory: 8198 grad_norm: 6.2939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0220 loss: 1.0220 2022/08/03 09:14:02 - mmengine - INFO - Epoch(train) [125][900/1879] lr: 1.0000e-03 eta: 19:32:10 time: 0.2839 data_time: 0.0258 memory: 8198 grad_norm: 6.2613 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1368 loss: 1.1368 2022/08/03 09:14:08 - mmengine - INFO - Epoch(train) [125][920/1879] lr: 1.0000e-03 eta: 19:32:05 time: 0.2833 data_time: 0.0222 memory: 8198 grad_norm: 6.2563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0336 loss: 1.0336 2022/08/03 09:14:13 - mmengine - INFO - Epoch(train) [125][940/1879] lr: 1.0000e-03 eta: 19:31:59 time: 0.2845 data_time: 0.0223 memory: 8198 grad_norm: 6.1821 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0006 loss: 1.0006 2022/08/03 09:14:19 - mmengine - INFO - Epoch(train) [125][960/1879] lr: 1.0000e-03 eta: 19:31:53 time: 0.2822 data_time: 0.0219 memory: 8198 grad_norm: 6.4817 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2441 loss: 1.2441 2022/08/03 09:14:25 - mmengine - INFO - Epoch(train) [125][980/1879] lr: 1.0000e-03 eta: 19:31:48 time: 0.2879 data_time: 0.0248 memory: 8198 grad_norm: 6.3117 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9791 loss: 0.9791 2022/08/03 09:14:30 - mmengine - INFO - Epoch(train) [125][1000/1879] lr: 1.0000e-03 eta: 19:31:42 time: 0.2845 data_time: 0.0209 memory: 8198 grad_norm: 6.2529 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0730 loss: 1.0730 2022/08/03 09:14:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:14:36 - mmengine - INFO - Epoch(train) [125][1020/1879] lr: 1.0000e-03 eta: 19:31:36 time: 0.2855 data_time: 0.0244 memory: 8198 grad_norm: 6.2646 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/08/03 09:14:42 - mmengine - INFO - Epoch(train) [125][1040/1879] lr: 1.0000e-03 eta: 19:31:31 time: 0.2912 data_time: 0.0219 memory: 8198 grad_norm: 6.2488 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/03 09:14:48 - mmengine - INFO - Epoch(train) [125][1060/1879] lr: 1.0000e-03 eta: 19:31:25 time: 0.2827 data_time: 0.0247 memory: 8198 grad_norm: 6.2993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/08/03 09:14:53 - mmengine - INFO - Epoch(train) [125][1080/1879] lr: 1.0000e-03 eta: 19:31:19 time: 0.2830 data_time: 0.0248 memory: 8198 grad_norm: 6.3270 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1791 loss: 1.1791 2022/08/03 09:14:59 - mmengine - INFO - Epoch(train) [125][1100/1879] lr: 1.0000e-03 eta: 19:31:14 time: 0.2830 data_time: 0.0259 memory: 8198 grad_norm: 6.1920 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0748 loss: 1.0748 2022/08/03 09:15:05 - mmengine - INFO - Epoch(train) [125][1120/1879] lr: 1.0000e-03 eta: 19:31:08 time: 0.2915 data_time: 0.0299 memory: 8198 grad_norm: 6.5203 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2939 loss: 1.2939 2022/08/03 09:15:11 - mmengine - INFO - Epoch(train) [125][1140/1879] lr: 1.0000e-03 eta: 19:31:02 time: 0.2865 data_time: 0.0200 memory: 8198 grad_norm: 6.2475 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2013 loss: 1.2013 2022/08/03 09:15:16 - mmengine - INFO - Epoch(train) [125][1160/1879] lr: 1.0000e-03 eta: 19:30:57 time: 0.2856 data_time: 0.0186 memory: 8198 grad_norm: 6.3462 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2741 loss: 1.2741 2022/08/03 09:15:22 - mmengine - INFO - Epoch(train) [125][1180/1879] lr: 1.0000e-03 eta: 19:30:51 time: 0.2911 data_time: 0.0257 memory: 8198 grad_norm: 6.0949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1986 loss: 1.1986 2022/08/03 09:15:28 - mmengine - INFO - Epoch(train) [125][1200/1879] lr: 1.0000e-03 eta: 19:30:45 time: 0.2802 data_time: 0.0193 memory: 8198 grad_norm: 6.4515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/08/03 09:15:34 - mmengine - INFO - Epoch(train) [125][1220/1879] lr: 1.0000e-03 eta: 19:30:40 time: 0.2870 data_time: 0.0233 memory: 8198 grad_norm: 6.5047 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0530 loss: 1.0530 2022/08/03 09:15:39 - mmengine - INFO - Epoch(train) [125][1240/1879] lr: 1.0000e-03 eta: 19:30:34 time: 0.2818 data_time: 0.0225 memory: 8198 grad_norm: 6.2139 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0803 loss: 1.0803 2022/08/03 09:15:45 - mmengine - INFO - Epoch(train) [125][1260/1879] lr: 1.0000e-03 eta: 19:30:29 time: 0.2960 data_time: 0.0239 memory: 8198 grad_norm: 6.3276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1513 loss: 1.1513 2022/08/03 09:15:51 - mmengine - INFO - Epoch(train) [125][1280/1879] lr: 1.0000e-03 eta: 19:30:23 time: 0.2835 data_time: 0.0215 memory: 8198 grad_norm: 6.3646 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1550 loss: 1.1550 2022/08/03 09:15:58 - mmengine - INFO - Epoch(train) [125][1300/1879] lr: 1.0000e-03 eta: 19:30:18 time: 0.3427 data_time: 0.0848 memory: 8198 grad_norm: 6.4533 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0379 loss: 1.0379 2022/08/03 09:16:04 - mmengine - INFO - Epoch(train) [125][1320/1879] lr: 1.0000e-03 eta: 19:30:13 time: 0.2874 data_time: 0.0165 memory: 8198 grad_norm: 6.3620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/08/03 09:16:09 - mmengine - INFO - Epoch(train) [125][1340/1879] lr: 1.0000e-03 eta: 19:30:07 time: 0.2837 data_time: 0.0207 memory: 8198 grad_norm: 6.2072 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9886 loss: 0.9886 2022/08/03 09:16:15 - mmengine - INFO - Epoch(train) [125][1360/1879] lr: 1.0000e-03 eta: 19:30:01 time: 0.2873 data_time: 0.0208 memory: 8198 grad_norm: 6.3106 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0921 loss: 1.0921 2022/08/03 09:16:21 - mmengine - INFO - Epoch(train) [125][1380/1879] lr: 1.0000e-03 eta: 19:29:56 time: 0.2909 data_time: 0.0229 memory: 8198 grad_norm: 6.3192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1201 loss: 1.1201 2022/08/03 09:16:26 - mmengine - INFO - Epoch(train) [125][1400/1879] lr: 1.0000e-03 eta: 19:29:50 time: 0.2804 data_time: 0.0210 memory: 8198 grad_norm: 6.3800 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0588 loss: 1.0588 2022/08/03 09:16:32 - mmengine - INFO - Epoch(train) [125][1420/1879] lr: 1.0000e-03 eta: 19:29:44 time: 0.2835 data_time: 0.0225 memory: 8198 grad_norm: 6.3828 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/03 09:16:38 - mmengine - INFO - Epoch(train) [125][1440/1879] lr: 1.0000e-03 eta: 19:29:39 time: 0.2805 data_time: 0.0193 memory: 8198 grad_norm: 6.5261 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1638 loss: 1.1638 2022/08/03 09:16:43 - mmengine - INFO - Epoch(train) [125][1460/1879] lr: 1.0000e-03 eta: 19:29:33 time: 0.2834 data_time: 0.0280 memory: 8198 grad_norm: 6.4126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1667 loss: 1.1667 2022/08/03 09:16:49 - mmengine - INFO - Epoch(train) [125][1480/1879] lr: 1.0000e-03 eta: 19:29:27 time: 0.2817 data_time: 0.0220 memory: 8198 grad_norm: 6.3382 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2191 loss: 1.2191 2022/08/03 09:16:55 - mmengine - INFO - Epoch(train) [125][1500/1879] lr: 1.0000e-03 eta: 19:29:21 time: 0.2843 data_time: 0.0240 memory: 8198 grad_norm: 6.4384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/08/03 09:17:01 - mmengine - INFO - Epoch(train) [125][1520/1879] lr: 1.0000e-03 eta: 19:29:16 time: 0.2856 data_time: 0.0199 memory: 8198 grad_norm: 6.2851 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9654 loss: 0.9654 2022/08/03 09:17:06 - mmengine - INFO - Epoch(train) [125][1540/1879] lr: 1.0000e-03 eta: 19:29:10 time: 0.2885 data_time: 0.0216 memory: 8198 grad_norm: 6.5206 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0853 loss: 1.0853 2022/08/03 09:17:12 - mmengine - INFO - Epoch(train) [125][1560/1879] lr: 1.0000e-03 eta: 19:29:04 time: 0.2871 data_time: 0.0227 memory: 8198 grad_norm: 6.3443 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1301 loss: 1.1301 2022/08/03 09:17:18 - mmengine - INFO - Epoch(train) [125][1580/1879] lr: 1.0000e-03 eta: 19:28:59 time: 0.2857 data_time: 0.0244 memory: 8198 grad_norm: 6.2263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0291 loss: 1.0291 2022/08/03 09:17:24 - mmengine - INFO - Epoch(train) [125][1600/1879] lr: 1.0000e-03 eta: 19:28:53 time: 0.2839 data_time: 0.0290 memory: 8198 grad_norm: 6.2779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0915 loss: 1.0915 2022/08/03 09:17:29 - mmengine - INFO - Epoch(train) [125][1620/1879] lr: 1.0000e-03 eta: 19:28:47 time: 0.2866 data_time: 0.0245 memory: 8198 grad_norm: 6.2628 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1428 loss: 1.1428 2022/08/03 09:17:35 - mmengine - INFO - Epoch(train) [125][1640/1879] lr: 1.0000e-03 eta: 19:28:42 time: 0.3022 data_time: 0.0270 memory: 8198 grad_norm: 6.4996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0546 loss: 1.0546 2022/08/03 09:17:41 - mmengine - INFO - Epoch(train) [125][1660/1879] lr: 1.0000e-03 eta: 19:28:36 time: 0.2854 data_time: 0.0222 memory: 8198 grad_norm: 6.4498 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2336 loss: 1.2336 2022/08/03 09:17:47 - mmengine - INFO - Epoch(train) [125][1680/1879] lr: 1.0000e-03 eta: 19:28:31 time: 0.2818 data_time: 0.0189 memory: 8198 grad_norm: 6.4251 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9127 loss: 0.9127 2022/08/03 09:17:53 - mmengine - INFO - Epoch(train) [125][1700/1879] lr: 1.0000e-03 eta: 19:28:25 time: 0.2894 data_time: 0.0246 memory: 8198 grad_norm: 6.3749 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0407 loss: 1.0407 2022/08/03 09:17:58 - mmengine - INFO - Epoch(train) [125][1720/1879] lr: 1.0000e-03 eta: 19:28:19 time: 0.2829 data_time: 0.0217 memory: 8198 grad_norm: 6.3038 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0565 loss: 1.0565 2022/08/03 09:18:04 - mmengine - INFO - Epoch(train) [125][1740/1879] lr: 1.0000e-03 eta: 19:28:14 time: 0.2833 data_time: 0.0229 memory: 8198 grad_norm: 6.2394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0649 loss: 1.0649 2022/08/03 09:18:10 - mmengine - INFO - Epoch(train) [125][1760/1879] lr: 1.0000e-03 eta: 19:28:08 time: 0.2851 data_time: 0.0242 memory: 8198 grad_norm: 6.2250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0553 loss: 1.0553 2022/08/03 09:18:16 - mmengine - INFO - Epoch(train) [125][1780/1879] lr: 1.0000e-03 eta: 19:28:02 time: 0.2948 data_time: 0.0237 memory: 8198 grad_norm: 6.4705 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0134 loss: 1.0134 2022/08/03 09:18:21 - mmengine - INFO - Epoch(train) [125][1800/1879] lr: 1.0000e-03 eta: 19:27:57 time: 0.2837 data_time: 0.0210 memory: 8198 grad_norm: 6.3794 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/08/03 09:18:27 - mmengine - INFO - Epoch(train) [125][1820/1879] lr: 1.0000e-03 eta: 19:27:51 time: 0.2848 data_time: 0.0242 memory: 8198 grad_norm: 6.5654 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2086 loss: 1.2086 2022/08/03 09:18:33 - mmengine - INFO - Epoch(train) [125][1840/1879] lr: 1.0000e-03 eta: 19:27:46 time: 0.2899 data_time: 0.0298 memory: 8198 grad_norm: 6.2413 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0936 loss: 1.0936 2022/08/03 09:18:38 - mmengine - INFO - Epoch(train) [125][1860/1879] lr: 1.0000e-03 eta: 19:27:40 time: 0.2831 data_time: 0.0241 memory: 8198 grad_norm: 6.5145 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0621 loss: 1.0621 2022/08/03 09:18:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:18:43 - mmengine - INFO - Epoch(train) [125][1879/1879] lr: 1.0000e-03 eta: 19:27:40 time: 0.2564 data_time: 0.0172 memory: 8198 grad_norm: 6.4795 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9196 loss: 0.9196 2022/08/03 09:18:50 - mmengine - INFO - Epoch(val) [125][20/155] eta: 0:00:43 time: 0.3251 data_time: 0.2357 memory: 1514 2022/08/03 09:18:55 - mmengine - INFO - Epoch(val) [125][40/155] eta: 0:00:26 time: 0.2272 data_time: 0.1336 memory: 1514 2022/08/03 09:19:01 - mmengine - INFO - Epoch(val) [125][60/155] eta: 0:00:29 time: 0.3121 data_time: 0.2270 memory: 1514 2022/08/03 09:19:05 - mmengine - INFO - Epoch(val) [125][80/155] eta: 0:00:17 time: 0.2387 data_time: 0.1518 memory: 1514 2022/08/03 09:19:12 - mmengine - INFO - Epoch(val) [125][100/155] eta: 0:00:17 time: 0.3191 data_time: 0.2317 memory: 1514 2022/08/03 09:19:16 - mmengine - INFO - Epoch(val) [125][120/155] eta: 0:00:07 time: 0.2237 data_time: 0.1360 memory: 1514 2022/08/03 09:19:22 - mmengine - INFO - Epoch(val) [125][140/155] eta: 0:00:04 time: 0.3108 data_time: 0.2252 memory: 1514 2022/08/03 09:19:27 - mmengine - INFO - Epoch(val) [125][155/155] acc/top1: 0.6795 acc/top5: 0.8700 acc/mean1: 0.6794 2022/08/03 09:19:35 - mmengine - INFO - Epoch(train) [126][20/1879] lr: 1.0000e-03 eta: 19:27:25 time: 0.3960 data_time: 0.1072 memory: 8198 grad_norm: 6.2437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9647 loss: 0.9647 2022/08/03 09:19:41 - mmengine - INFO - Epoch(train) [126][40/1879] lr: 1.0000e-03 eta: 19:27:20 time: 0.2850 data_time: 0.0204 memory: 8198 grad_norm: 6.2798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/08/03 09:19:47 - mmengine - INFO - Epoch(train) [126][60/1879] lr: 1.0000e-03 eta: 19:27:14 time: 0.3061 data_time: 0.0258 memory: 8198 grad_norm: 6.4162 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2851 loss: 1.2851 2022/08/03 09:19:53 - mmengine - INFO - Epoch(train) [126][80/1879] lr: 1.0000e-03 eta: 19:27:09 time: 0.2818 data_time: 0.0231 memory: 8198 grad_norm: 6.2896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2432 loss: 1.2432 2022/08/03 09:19:58 - mmengine - INFO - Epoch(train) [126][100/1879] lr: 1.0000e-03 eta: 19:27:03 time: 0.2876 data_time: 0.0250 memory: 8198 grad_norm: 6.4210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1195 loss: 1.1195 2022/08/03 09:20:04 - mmengine - INFO - Epoch(train) [126][120/1879] lr: 1.0000e-03 eta: 19:26:57 time: 0.2844 data_time: 0.0197 memory: 8198 grad_norm: 6.3966 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1153 loss: 1.1153 2022/08/03 09:20:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:20:10 - mmengine - INFO - Epoch(train) [126][140/1879] lr: 1.0000e-03 eta: 19:26:52 time: 0.2831 data_time: 0.0222 memory: 8198 grad_norm: 6.4747 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/08/03 09:20:15 - mmengine - INFO - Epoch(train) [126][160/1879] lr: 1.0000e-03 eta: 19:26:46 time: 0.2841 data_time: 0.0256 memory: 8198 grad_norm: 6.2900 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1767 loss: 1.1767 2022/08/03 09:20:21 - mmengine - INFO - Epoch(train) [126][180/1879] lr: 1.0000e-03 eta: 19:26:40 time: 0.2954 data_time: 0.0248 memory: 8198 grad_norm: 6.4499 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1350 loss: 1.1350 2022/08/03 09:20:27 - mmengine - INFO - Epoch(train) [126][200/1879] lr: 1.0000e-03 eta: 19:26:35 time: 0.2873 data_time: 0.0288 memory: 8198 grad_norm: 6.2319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/08/03 09:20:33 - mmengine - INFO - Epoch(train) [126][220/1879] lr: 1.0000e-03 eta: 19:26:29 time: 0.2864 data_time: 0.0247 memory: 8198 grad_norm: 6.3026 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0186 loss: 1.0186 2022/08/03 09:20:39 - mmengine - INFO - Epoch(train) [126][240/1879] lr: 1.0000e-03 eta: 19:26:23 time: 0.2819 data_time: 0.0224 memory: 8198 grad_norm: 6.2280 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0464 loss: 1.0464 2022/08/03 09:20:44 - mmengine - INFO - Epoch(train) [126][260/1879] lr: 1.0000e-03 eta: 19:26:18 time: 0.2891 data_time: 0.0238 memory: 8198 grad_norm: 6.3766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/08/03 09:20:50 - mmengine - INFO - Epoch(train) [126][280/1879] lr: 1.0000e-03 eta: 19:26:12 time: 0.2848 data_time: 0.0230 memory: 8198 grad_norm: 6.2388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3127 loss: 1.3127 2022/08/03 09:20:56 - mmengine - INFO - Epoch(train) [126][300/1879] lr: 1.0000e-03 eta: 19:26:06 time: 0.2829 data_time: 0.0209 memory: 8198 grad_norm: 6.3358 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/08/03 09:21:01 - mmengine - INFO - Epoch(train) [126][320/1879] lr: 1.0000e-03 eta: 19:26:01 time: 0.2830 data_time: 0.0238 memory: 8198 grad_norm: 6.2980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0943 loss: 1.0943 2022/08/03 09:21:07 - mmengine - INFO - Epoch(train) [126][340/1879] lr: 1.0000e-03 eta: 19:25:55 time: 0.2908 data_time: 0.0220 memory: 8198 grad_norm: 6.3959 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9407 loss: 0.9407 2022/08/03 09:21:13 - mmengine - INFO - Epoch(train) [126][360/1879] lr: 1.0000e-03 eta: 19:25:49 time: 0.2861 data_time: 0.0205 memory: 8198 grad_norm: 6.1490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/08/03 09:21:19 - mmengine - INFO - Epoch(train) [126][380/1879] lr: 1.0000e-03 eta: 19:25:44 time: 0.2845 data_time: 0.0220 memory: 8198 grad_norm: 6.2859 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1171 loss: 1.1171 2022/08/03 09:21:24 - mmengine - INFO - Epoch(train) [126][400/1879] lr: 1.0000e-03 eta: 19:25:38 time: 0.2872 data_time: 0.0198 memory: 8198 grad_norm: 6.4568 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9946 loss: 0.9946 2022/08/03 09:21:30 - mmengine - INFO - Epoch(train) [126][420/1879] lr: 1.0000e-03 eta: 19:25:32 time: 0.2847 data_time: 0.0296 memory: 8198 grad_norm: 6.5952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2701 loss: 1.2701 2022/08/03 09:21:36 - mmengine - INFO - Epoch(train) [126][440/1879] lr: 1.0000e-03 eta: 19:25:27 time: 0.2858 data_time: 0.0233 memory: 8198 grad_norm: 6.4180 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1554 loss: 1.1554 2022/08/03 09:21:42 - mmengine - INFO - Epoch(train) [126][460/1879] lr: 1.0000e-03 eta: 19:25:21 time: 0.2841 data_time: 0.0242 memory: 8198 grad_norm: 6.3620 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0405 loss: 1.0405 2022/08/03 09:21:47 - mmengine - INFO - Epoch(train) [126][480/1879] lr: 1.0000e-03 eta: 19:25:15 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 6.3625 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9496 loss: 0.9496 2022/08/03 09:21:53 - mmengine - INFO - Epoch(train) [126][500/1879] lr: 1.0000e-03 eta: 19:25:10 time: 0.2853 data_time: 0.0230 memory: 8198 grad_norm: 6.3127 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0612 loss: 1.0612 2022/08/03 09:21:59 - mmengine - INFO - Epoch(train) [126][520/1879] lr: 1.0000e-03 eta: 19:25:04 time: 0.2862 data_time: 0.0210 memory: 8198 grad_norm: 6.1830 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2075 loss: 1.2075 2022/08/03 09:22:05 - mmengine - INFO - Epoch(train) [126][540/1879] lr: 1.0000e-03 eta: 19:24:58 time: 0.2843 data_time: 0.0213 memory: 8198 grad_norm: 6.3718 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/08/03 09:22:10 - mmengine - INFO - Epoch(train) [126][560/1879] lr: 1.0000e-03 eta: 19:24:53 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 6.5778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1831 loss: 1.1831 2022/08/03 09:22:16 - mmengine - INFO - Epoch(train) [126][580/1879] lr: 1.0000e-03 eta: 19:24:47 time: 0.2861 data_time: 0.0228 memory: 8198 grad_norm: 6.2128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0890 loss: 1.0890 2022/08/03 09:22:22 - mmengine - INFO - Epoch(train) [126][600/1879] lr: 1.0000e-03 eta: 19:24:41 time: 0.2863 data_time: 0.0169 memory: 8198 grad_norm: 6.2632 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1533 loss: 1.1533 2022/08/03 09:22:27 - mmengine - INFO - Epoch(train) [126][620/1879] lr: 1.0000e-03 eta: 19:24:36 time: 0.2858 data_time: 0.0215 memory: 8198 grad_norm: 6.1385 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0124 loss: 1.0124 2022/08/03 09:22:33 - mmengine - INFO - Epoch(train) [126][640/1879] lr: 1.0000e-03 eta: 19:24:30 time: 0.2863 data_time: 0.0230 memory: 8198 grad_norm: 6.1991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2959 loss: 1.2959 2022/08/03 09:22:39 - mmengine - INFO - Epoch(train) [126][660/1879] lr: 1.0000e-03 eta: 19:24:24 time: 0.2839 data_time: 0.0186 memory: 8198 grad_norm: 6.4624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1991 loss: 1.1991 2022/08/03 09:22:45 - mmengine - INFO - Epoch(train) [126][680/1879] lr: 1.0000e-03 eta: 19:24:19 time: 0.2843 data_time: 0.0196 memory: 8198 grad_norm: 6.3327 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0672 loss: 1.0672 2022/08/03 09:22:50 - mmengine - INFO - Epoch(train) [126][700/1879] lr: 1.0000e-03 eta: 19:24:13 time: 0.2879 data_time: 0.0248 memory: 8198 grad_norm: 6.2602 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1871 loss: 1.1871 2022/08/03 09:22:56 - mmengine - INFO - Epoch(train) [126][720/1879] lr: 1.0000e-03 eta: 19:24:07 time: 0.2881 data_time: 0.0255 memory: 8198 grad_norm: 6.5804 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2263 loss: 1.2263 2022/08/03 09:23:02 - mmengine - INFO - Epoch(train) [126][740/1879] lr: 1.0000e-03 eta: 19:24:02 time: 0.2841 data_time: 0.0220 memory: 8198 grad_norm: 6.4204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/08/03 09:23:08 - mmengine - INFO - Epoch(train) [126][760/1879] lr: 1.0000e-03 eta: 19:23:56 time: 0.2872 data_time: 0.0245 memory: 8198 grad_norm: 6.4916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/08/03 09:23:13 - mmengine - INFO - Epoch(train) [126][780/1879] lr: 1.0000e-03 eta: 19:23:50 time: 0.2866 data_time: 0.0228 memory: 8198 grad_norm: 6.2131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/08/03 09:23:19 - mmengine - INFO - Epoch(train) [126][800/1879] lr: 1.0000e-03 eta: 19:23:45 time: 0.2822 data_time: 0.0229 memory: 8198 grad_norm: 6.4998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0802 loss: 1.0802 2022/08/03 09:23:25 - mmengine - INFO - Epoch(train) [126][820/1879] lr: 1.0000e-03 eta: 19:23:39 time: 0.2858 data_time: 0.0271 memory: 8198 grad_norm: 6.2795 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2097 loss: 1.2097 2022/08/03 09:23:30 - mmengine - INFO - Epoch(train) [126][840/1879] lr: 1.0000e-03 eta: 19:23:33 time: 0.2845 data_time: 0.0242 memory: 8198 grad_norm: 6.2615 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0764 loss: 1.0764 2022/08/03 09:23:36 - mmengine - INFO - Epoch(train) [126][860/1879] lr: 1.0000e-03 eta: 19:23:28 time: 0.2884 data_time: 0.0242 memory: 8198 grad_norm: 6.1742 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3424 loss: 1.3424 2022/08/03 09:23:42 - mmengine - INFO - Epoch(train) [126][880/1879] lr: 1.0000e-03 eta: 19:23:22 time: 0.2822 data_time: 0.0199 memory: 8198 grad_norm: 6.2267 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1781 loss: 1.1781 2022/08/03 09:23:48 - mmengine - INFO - Epoch(train) [126][900/1879] lr: 1.0000e-03 eta: 19:23:16 time: 0.2870 data_time: 0.0272 memory: 8198 grad_norm: 6.3458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2758 loss: 1.2758 2022/08/03 09:23:53 - mmengine - INFO - Epoch(train) [126][920/1879] lr: 1.0000e-03 eta: 19:23:11 time: 0.2893 data_time: 0.0200 memory: 8198 grad_norm: 6.4117 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0596 loss: 1.0596 2022/08/03 09:23:59 - mmengine - INFO - Epoch(train) [126][940/1879] lr: 1.0000e-03 eta: 19:23:05 time: 0.2834 data_time: 0.0297 memory: 8198 grad_norm: 6.4288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9762 loss: 0.9762 2022/08/03 09:24:05 - mmengine - INFO - Epoch(train) [126][960/1879] lr: 1.0000e-03 eta: 19:22:59 time: 0.2794 data_time: 0.0213 memory: 8198 grad_norm: 6.2116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2812 loss: 1.2812 2022/08/03 09:24:10 - mmengine - INFO - Epoch(train) [126][980/1879] lr: 1.0000e-03 eta: 19:22:53 time: 0.2842 data_time: 0.0239 memory: 8198 grad_norm: 6.3105 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9780 loss: 0.9780 2022/08/03 09:24:16 - mmengine - INFO - Epoch(train) [126][1000/1879] lr: 1.0000e-03 eta: 19:22:48 time: 0.2831 data_time: 0.0243 memory: 8198 grad_norm: 6.3621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9139 loss: 0.9139 2022/08/03 09:24:22 - mmengine - INFO - Epoch(train) [126][1020/1879] lr: 1.0000e-03 eta: 19:22:42 time: 0.2839 data_time: 0.0198 memory: 8198 grad_norm: 6.3888 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1540 loss: 1.1540 2022/08/03 09:24:28 - mmengine - INFO - Epoch(train) [126][1040/1879] lr: 1.0000e-03 eta: 19:22:36 time: 0.2841 data_time: 0.0198 memory: 8198 grad_norm: 6.2282 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0491 loss: 1.0491 2022/08/03 09:24:33 - mmengine - INFO - Epoch(train) [126][1060/1879] lr: 1.0000e-03 eta: 19:22:31 time: 0.2849 data_time: 0.0225 memory: 8198 grad_norm: 6.5168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1417 loss: 1.1417 2022/08/03 09:24:39 - mmengine - INFO - Epoch(train) [126][1080/1879] lr: 1.0000e-03 eta: 19:22:25 time: 0.2825 data_time: 0.0228 memory: 8198 grad_norm: 6.1965 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0960 loss: 1.0960 2022/08/03 09:24:45 - mmengine - INFO - Epoch(train) [126][1100/1879] lr: 1.0000e-03 eta: 19:22:19 time: 0.2882 data_time: 0.0247 memory: 8198 grad_norm: 6.2711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0666 loss: 1.0666 2022/08/03 09:24:50 - mmengine - INFO - Epoch(train) [126][1120/1879] lr: 1.0000e-03 eta: 19:22:13 time: 0.2793 data_time: 0.0202 memory: 8198 grad_norm: 6.1899 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2041 loss: 1.2041 2022/08/03 09:24:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:24:56 - mmengine - INFO - Epoch(train) [126][1140/1879] lr: 1.0000e-03 eta: 19:22:08 time: 0.2839 data_time: 0.0237 memory: 8198 grad_norm: 6.4348 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1944 loss: 1.1944 2022/08/03 09:25:02 - mmengine - INFO - Epoch(train) [126][1160/1879] lr: 1.0000e-03 eta: 19:22:02 time: 0.2827 data_time: 0.0224 memory: 8198 grad_norm: 6.5004 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0431 loss: 1.0431 2022/08/03 09:25:07 - mmengine - INFO - Epoch(train) [126][1180/1879] lr: 1.0000e-03 eta: 19:21:56 time: 0.2875 data_time: 0.0246 memory: 8198 grad_norm: 6.3754 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1932 loss: 1.1932 2022/08/03 09:25:13 - mmengine - INFO - Epoch(train) [126][1200/1879] lr: 1.0000e-03 eta: 19:21:51 time: 0.2820 data_time: 0.0192 memory: 8198 grad_norm: 6.5878 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/08/03 09:25:19 - mmengine - INFO - Epoch(train) [126][1220/1879] lr: 1.0000e-03 eta: 19:21:45 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 6.4948 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0496 loss: 1.0496 2022/08/03 09:25:25 - mmengine - INFO - Epoch(train) [126][1240/1879] lr: 1.0000e-03 eta: 19:21:39 time: 0.2838 data_time: 0.0239 memory: 8198 grad_norm: 6.4099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0765 loss: 1.0765 2022/08/03 09:25:30 - mmengine - INFO - Epoch(train) [126][1260/1879] lr: 1.0000e-03 eta: 19:21:34 time: 0.2814 data_time: 0.0273 memory: 8198 grad_norm: 6.4052 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9810 loss: 0.9810 2022/08/03 09:25:36 - mmengine - INFO - Epoch(train) [126][1280/1879] lr: 1.0000e-03 eta: 19:21:28 time: 0.2832 data_time: 0.0256 memory: 8198 grad_norm: 6.4803 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0515 loss: 1.0515 2022/08/03 09:25:42 - mmengine - INFO - Epoch(train) [126][1300/1879] lr: 1.0000e-03 eta: 19:21:22 time: 0.2814 data_time: 0.0210 memory: 8198 grad_norm: 6.4387 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1339 loss: 1.1339 2022/08/03 09:25:47 - mmengine - INFO - Epoch(train) [126][1320/1879] lr: 1.0000e-03 eta: 19:21:16 time: 0.2832 data_time: 0.0230 memory: 8198 grad_norm: 6.3328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9822 loss: 0.9822 2022/08/03 09:25:53 - mmengine - INFO - Epoch(train) [126][1340/1879] lr: 1.0000e-03 eta: 19:21:11 time: 0.2838 data_time: 0.0240 memory: 8198 grad_norm: 6.3375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1433 loss: 1.1433 2022/08/03 09:25:59 - mmengine - INFO - Epoch(train) [126][1360/1879] lr: 1.0000e-03 eta: 19:21:05 time: 0.2832 data_time: 0.0218 memory: 8198 grad_norm: 6.5018 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2670 loss: 1.2670 2022/08/03 09:26:04 - mmengine - INFO - Epoch(train) [126][1380/1879] lr: 1.0000e-03 eta: 19:20:59 time: 0.2881 data_time: 0.0259 memory: 8198 grad_norm: 6.2440 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0683 loss: 1.0683 2022/08/03 09:26:10 - mmengine - INFO - Epoch(train) [126][1400/1879] lr: 1.0000e-03 eta: 19:20:54 time: 0.2831 data_time: 0.0238 memory: 8198 grad_norm: 6.5193 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2316 loss: 1.2316 2022/08/03 09:26:16 - mmengine - INFO - Epoch(train) [126][1420/1879] lr: 1.0000e-03 eta: 19:20:48 time: 0.2839 data_time: 0.0266 memory: 8198 grad_norm: 6.2813 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0957 loss: 1.0957 2022/08/03 09:26:21 - mmengine - INFO - Epoch(train) [126][1440/1879] lr: 1.0000e-03 eta: 19:20:42 time: 0.2837 data_time: 0.0236 memory: 8198 grad_norm: 6.2313 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2225 loss: 1.2225 2022/08/03 09:26:27 - mmengine - INFO - Epoch(train) [126][1460/1879] lr: 1.0000e-03 eta: 19:20:37 time: 0.2883 data_time: 0.0251 memory: 8198 grad_norm: 6.2259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0699 loss: 1.0699 2022/08/03 09:26:33 - mmengine - INFO - Epoch(train) [126][1480/1879] lr: 1.0000e-03 eta: 19:20:31 time: 0.2863 data_time: 0.0222 memory: 8198 grad_norm: 6.5325 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0627 loss: 1.0627 2022/08/03 09:26:39 - mmengine - INFO - Epoch(train) [126][1500/1879] lr: 1.0000e-03 eta: 19:20:25 time: 0.2792 data_time: 0.0217 memory: 8198 grad_norm: 6.5629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2520 loss: 1.2520 2022/08/03 09:26:45 - mmengine - INFO - Epoch(train) [126][1520/1879] lr: 1.0000e-03 eta: 19:20:20 time: 0.2992 data_time: 0.0213 memory: 8198 grad_norm: 6.3066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0742 loss: 1.0742 2022/08/03 09:26:50 - mmengine - INFO - Epoch(train) [126][1540/1879] lr: 1.0000e-03 eta: 19:20:14 time: 0.2825 data_time: 0.0232 memory: 8198 grad_norm: 6.2400 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0822 loss: 1.0822 2022/08/03 09:26:56 - mmengine - INFO - Epoch(train) [126][1560/1879] lr: 1.0000e-03 eta: 19:20:08 time: 0.2846 data_time: 0.0227 memory: 8198 grad_norm: 6.2693 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0394 loss: 1.0394 2022/08/03 09:27:02 - mmengine - INFO - Epoch(train) [126][1580/1879] lr: 1.0000e-03 eta: 19:20:03 time: 0.2875 data_time: 0.0282 memory: 8198 grad_norm: 6.3850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2344 loss: 1.2344 2022/08/03 09:27:08 - mmengine - INFO - Epoch(train) [126][1600/1879] lr: 1.0000e-03 eta: 19:19:57 time: 0.2911 data_time: 0.0178 memory: 8198 grad_norm: 6.3853 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0573 loss: 1.0573 2022/08/03 09:27:13 - mmengine - INFO - Epoch(train) [126][1620/1879] lr: 1.0000e-03 eta: 19:19:51 time: 0.2841 data_time: 0.0241 memory: 8198 grad_norm: 6.1758 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0685 loss: 1.0685 2022/08/03 09:27:19 - mmengine - INFO - Epoch(train) [126][1640/1879] lr: 1.0000e-03 eta: 19:19:46 time: 0.2859 data_time: 0.0213 memory: 8198 grad_norm: 6.3008 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0913 loss: 1.0913 2022/08/03 09:27:25 - mmengine - INFO - Epoch(train) [126][1660/1879] lr: 1.0000e-03 eta: 19:19:40 time: 0.2847 data_time: 0.0194 memory: 8198 grad_norm: 6.5865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1567 loss: 1.1567 2022/08/03 09:27:31 - mmengine - INFO - Epoch(train) [126][1680/1879] lr: 1.0000e-03 eta: 19:19:34 time: 0.2858 data_time: 0.0205 memory: 8198 grad_norm: 6.4931 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1658 loss: 1.1658 2022/08/03 09:27:36 - mmengine - INFO - Epoch(train) [126][1700/1879] lr: 1.0000e-03 eta: 19:19:29 time: 0.2832 data_time: 0.0254 memory: 8198 grad_norm: 6.5959 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/08/03 09:27:42 - mmengine - INFO - Epoch(train) [126][1720/1879] lr: 1.0000e-03 eta: 19:19:23 time: 0.2843 data_time: 0.0177 memory: 8198 grad_norm: 6.4061 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1680 loss: 1.1680 2022/08/03 09:27:48 - mmengine - INFO - Epoch(train) [126][1740/1879] lr: 1.0000e-03 eta: 19:19:17 time: 0.2856 data_time: 0.0195 memory: 8198 grad_norm: 6.1579 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9846 loss: 0.9846 2022/08/03 09:27:53 - mmengine - INFO - Epoch(train) [126][1760/1879] lr: 1.0000e-03 eta: 19:19:12 time: 0.2841 data_time: 0.0198 memory: 8198 grad_norm: 6.3259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0179 loss: 1.0179 2022/08/03 09:27:59 - mmengine - INFO - Epoch(train) [126][1780/1879] lr: 1.0000e-03 eta: 19:19:06 time: 0.2861 data_time: 0.0222 memory: 8198 grad_norm: 6.4875 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1257 loss: 1.1257 2022/08/03 09:28:05 - mmengine - INFO - Epoch(train) [126][1800/1879] lr: 1.0000e-03 eta: 19:19:00 time: 0.2849 data_time: 0.0225 memory: 8198 grad_norm: 6.4476 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/08/03 09:28:11 - mmengine - INFO - Epoch(train) [126][1820/1879] lr: 1.0000e-03 eta: 19:18:55 time: 0.2853 data_time: 0.0229 memory: 8198 grad_norm: 6.3920 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1996 loss: 1.1996 2022/08/03 09:28:16 - mmengine - INFO - Epoch(train) [126][1840/1879] lr: 1.0000e-03 eta: 19:18:49 time: 0.2848 data_time: 0.0226 memory: 8198 grad_norm: 6.5023 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2495 loss: 1.2495 2022/08/03 09:28:22 - mmengine - INFO - Epoch(train) [126][1860/1879] lr: 1.0000e-03 eta: 19:18:43 time: 0.2854 data_time: 0.0208 memory: 8198 grad_norm: 6.4860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/08/03 09:28:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:28:27 - mmengine - INFO - Epoch(train) [126][1879/1879] lr: 1.0000e-03 eta: 19:18:43 time: 0.2692 data_time: 0.0137 memory: 8198 grad_norm: 6.4747 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.1137 loss: 1.1137 2022/08/03 09:28:35 - mmengine - INFO - Epoch(train) [127][20/1879] lr: 1.0000e-03 eta: 19:18:29 time: 0.4103 data_time: 0.0936 memory: 8198 grad_norm: 6.3972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1736 loss: 1.1736 2022/08/03 09:28:41 - mmengine - INFO - Epoch(train) [127][40/1879] lr: 1.0000e-03 eta: 19:18:23 time: 0.2861 data_time: 0.0233 memory: 8198 grad_norm: 6.3285 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1304 loss: 1.1304 2022/08/03 09:28:47 - mmengine - INFO - Epoch(train) [127][60/1879] lr: 1.0000e-03 eta: 19:18:18 time: 0.2852 data_time: 0.0270 memory: 8198 grad_norm: 6.2102 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 0.9854 loss: 0.9854 2022/08/03 09:28:52 - mmengine - INFO - Epoch(train) [127][80/1879] lr: 1.0000e-03 eta: 19:18:12 time: 0.2829 data_time: 0.0178 memory: 8198 grad_norm: 6.2861 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2067 loss: 1.2067 2022/08/03 09:28:58 - mmengine - INFO - Epoch(train) [127][100/1879] lr: 1.0000e-03 eta: 19:18:06 time: 0.2883 data_time: 0.0267 memory: 8198 grad_norm: 6.5246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2327 loss: 1.2327 2022/08/03 09:29:04 - mmengine - INFO - Epoch(train) [127][120/1879] lr: 1.0000e-03 eta: 19:18:01 time: 0.2872 data_time: 0.0246 memory: 8198 grad_norm: 6.5446 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0736 loss: 1.0736 2022/08/03 09:29:10 - mmengine - INFO - Epoch(train) [127][140/1879] lr: 1.0000e-03 eta: 19:17:55 time: 0.2860 data_time: 0.0255 memory: 8198 grad_norm: 6.1598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/03 09:29:15 - mmengine - INFO - Epoch(train) [127][160/1879] lr: 1.0000e-03 eta: 19:17:49 time: 0.2821 data_time: 0.0217 memory: 8198 grad_norm: 6.3400 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0685 loss: 1.0685 2022/08/03 09:29:21 - mmengine - INFO - Epoch(train) [127][180/1879] lr: 1.0000e-03 eta: 19:17:44 time: 0.2841 data_time: 0.0259 memory: 8198 grad_norm: 6.4281 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0170 loss: 1.0170 2022/08/03 09:29:27 - mmengine - INFO - Epoch(train) [127][200/1879] lr: 1.0000e-03 eta: 19:17:38 time: 0.2877 data_time: 0.0247 memory: 8198 grad_norm: 6.4856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0457 loss: 1.0457 2022/08/03 09:29:33 - mmengine - INFO - Epoch(train) [127][220/1879] lr: 1.0000e-03 eta: 19:17:33 time: 0.2919 data_time: 0.0224 memory: 8198 grad_norm: 6.3192 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3008 loss: 1.3008 2022/08/03 09:29:38 - mmengine - INFO - Epoch(train) [127][240/1879] lr: 1.0000e-03 eta: 19:17:27 time: 0.2824 data_time: 0.0199 memory: 8198 grad_norm: 6.4420 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1903 loss: 1.1903 2022/08/03 09:29:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:29:44 - mmengine - INFO - Epoch(train) [127][260/1879] lr: 1.0000e-03 eta: 19:17:21 time: 0.2859 data_time: 0.0250 memory: 8198 grad_norm: 6.4350 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0474 loss: 1.0474 2022/08/03 09:29:50 - mmengine - INFO - Epoch(train) [127][280/1879] lr: 1.0000e-03 eta: 19:17:15 time: 0.2801 data_time: 0.0219 memory: 8198 grad_norm: 6.4232 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9902 loss: 0.9902 2022/08/03 09:29:56 - mmengine - INFO - Epoch(train) [127][300/1879] lr: 1.0000e-03 eta: 19:17:10 time: 0.2870 data_time: 0.0218 memory: 8198 grad_norm: 6.4812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1406 loss: 1.1406 2022/08/03 09:30:01 - mmengine - INFO - Epoch(train) [127][320/1879] lr: 1.0000e-03 eta: 19:17:04 time: 0.2832 data_time: 0.0222 memory: 8198 grad_norm: 6.3967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/08/03 09:30:07 - mmengine - INFO - Epoch(train) [127][340/1879] lr: 1.0000e-03 eta: 19:16:58 time: 0.2866 data_time: 0.0260 memory: 8198 grad_norm: 6.4513 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2011 loss: 1.2011 2022/08/03 09:30:13 - mmengine - INFO - Epoch(train) [127][360/1879] lr: 1.0000e-03 eta: 19:16:53 time: 0.2841 data_time: 0.0231 memory: 8198 grad_norm: 6.4783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2173 loss: 1.2173 2022/08/03 09:30:18 - mmengine - INFO - Epoch(train) [127][380/1879] lr: 1.0000e-03 eta: 19:16:47 time: 0.2892 data_time: 0.0229 memory: 8198 grad_norm: 6.2157 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0577 loss: 1.0577 2022/08/03 09:30:24 - mmengine - INFO - Epoch(train) [127][400/1879] lr: 1.0000e-03 eta: 19:16:41 time: 0.2881 data_time: 0.0272 memory: 8198 grad_norm: 6.4202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8997 loss: 0.8997 2022/08/03 09:30:30 - mmengine - INFO - Epoch(train) [127][420/1879] lr: 1.0000e-03 eta: 19:16:36 time: 0.2826 data_time: 0.0235 memory: 8198 grad_norm: 6.2878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0982 loss: 1.0982 2022/08/03 09:30:36 - mmengine - INFO - Epoch(train) [127][440/1879] lr: 1.0000e-03 eta: 19:16:30 time: 0.2827 data_time: 0.0254 memory: 8198 grad_norm: 6.5656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9996 loss: 0.9996 2022/08/03 09:30:41 - mmengine - INFO - Epoch(train) [127][460/1879] lr: 1.0000e-03 eta: 19:16:24 time: 0.2859 data_time: 0.0225 memory: 8198 grad_norm: 6.2681 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/08/03 09:30:47 - mmengine - INFO - Epoch(train) [127][480/1879] lr: 1.0000e-03 eta: 19:16:19 time: 0.2872 data_time: 0.0221 memory: 8198 grad_norm: 6.3873 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/08/03 09:30:53 - mmengine - INFO - Epoch(train) [127][500/1879] lr: 1.0000e-03 eta: 19:16:13 time: 0.2855 data_time: 0.0224 memory: 8198 grad_norm: 6.3558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3340 loss: 1.3340 2022/08/03 09:30:59 - mmengine - INFO - Epoch(train) [127][520/1879] lr: 1.0000e-03 eta: 19:16:07 time: 0.2889 data_time: 0.0214 memory: 8198 grad_norm: 6.3113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/08/03 09:31:04 - mmengine - INFO - Epoch(train) [127][540/1879] lr: 1.0000e-03 eta: 19:16:02 time: 0.2862 data_time: 0.0244 memory: 8198 grad_norm: 6.3024 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0794 loss: 1.0794 2022/08/03 09:31:10 - mmengine - INFO - Epoch(train) [127][560/1879] lr: 1.0000e-03 eta: 19:15:56 time: 0.2803 data_time: 0.0216 memory: 8198 grad_norm: 6.5226 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2340 loss: 1.2340 2022/08/03 09:31:16 - mmengine - INFO - Epoch(train) [127][580/1879] lr: 1.0000e-03 eta: 19:15:50 time: 0.2833 data_time: 0.0271 memory: 8198 grad_norm: 6.2302 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0550 loss: 1.0550 2022/08/03 09:31:21 - mmengine - INFO - Epoch(train) [127][600/1879] lr: 1.0000e-03 eta: 19:15:45 time: 0.2847 data_time: 0.0243 memory: 8198 grad_norm: 6.3537 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0065 loss: 1.0065 2022/08/03 09:31:28 - mmengine - INFO - Epoch(train) [127][620/1879] lr: 1.0000e-03 eta: 19:15:39 time: 0.3043 data_time: 0.0237 memory: 8198 grad_norm: 6.2308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2202 loss: 1.2202 2022/08/03 09:31:33 - mmengine - INFO - Epoch(train) [127][640/1879] lr: 1.0000e-03 eta: 19:15:33 time: 0.2803 data_time: 0.0205 memory: 8198 grad_norm: 6.4872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1324 loss: 1.1324 2022/08/03 09:31:39 - mmengine - INFO - Epoch(train) [127][660/1879] lr: 1.0000e-03 eta: 19:15:28 time: 0.2847 data_time: 0.0209 memory: 8198 grad_norm: 6.3693 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1453 loss: 1.1453 2022/08/03 09:31:45 - mmengine - INFO - Epoch(train) [127][680/1879] lr: 1.0000e-03 eta: 19:15:22 time: 0.2802 data_time: 0.0192 memory: 8198 grad_norm: 6.4486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/08/03 09:31:50 - mmengine - INFO - Epoch(train) [127][700/1879] lr: 1.0000e-03 eta: 19:15:16 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 6.2139 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3545 loss: 1.3545 2022/08/03 09:31:56 - mmengine - INFO - Epoch(train) [127][720/1879] lr: 1.0000e-03 eta: 19:15:11 time: 0.2854 data_time: 0.0219 memory: 8198 grad_norm: 6.4502 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0349 loss: 1.0349 2022/08/03 09:32:02 - mmengine - INFO - Epoch(train) [127][740/1879] lr: 1.0000e-03 eta: 19:15:05 time: 0.2817 data_time: 0.0206 memory: 8198 grad_norm: 6.5629 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1786 loss: 1.1786 2022/08/03 09:32:07 - mmengine - INFO - Epoch(train) [127][760/1879] lr: 1.0000e-03 eta: 19:14:59 time: 0.2836 data_time: 0.0215 memory: 8198 grad_norm: 6.1987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/08/03 09:32:13 - mmengine - INFO - Epoch(train) [127][780/1879] lr: 1.0000e-03 eta: 19:14:53 time: 0.2843 data_time: 0.0268 memory: 8198 grad_norm: 6.4127 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0525 loss: 1.0525 2022/08/03 09:32:19 - mmengine - INFO - Epoch(train) [127][800/1879] lr: 1.0000e-03 eta: 19:14:48 time: 0.2840 data_time: 0.0219 memory: 8198 grad_norm: 6.2274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/08/03 09:32:24 - mmengine - INFO - Epoch(train) [127][820/1879] lr: 1.0000e-03 eta: 19:14:42 time: 0.2829 data_time: 0.0212 memory: 8198 grad_norm: 6.3466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9985 loss: 0.9985 2022/08/03 09:32:30 - mmengine - INFO - Epoch(train) [127][840/1879] lr: 1.0000e-03 eta: 19:14:36 time: 0.2836 data_time: 0.0217 memory: 8198 grad_norm: 6.2471 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0821 loss: 1.0821 2022/08/03 09:32:36 - mmengine - INFO - Epoch(train) [127][860/1879] lr: 1.0000e-03 eta: 19:14:31 time: 0.2876 data_time: 0.0281 memory: 8198 grad_norm: 6.3984 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/08/03 09:32:41 - mmengine - INFO - Epoch(train) [127][880/1879] lr: 1.0000e-03 eta: 19:14:25 time: 0.2831 data_time: 0.0216 memory: 8198 grad_norm: 6.3703 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0762 loss: 1.0762 2022/08/03 09:32:47 - mmengine - INFO - Epoch(train) [127][900/1879] lr: 1.0000e-03 eta: 19:14:19 time: 0.2876 data_time: 0.0225 memory: 8198 grad_norm: 6.5189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2124 loss: 1.2124 2022/08/03 09:32:53 - mmengine - INFO - Epoch(train) [127][920/1879] lr: 1.0000e-03 eta: 19:14:14 time: 0.2831 data_time: 0.0207 memory: 8198 grad_norm: 6.4654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1736 loss: 1.1736 2022/08/03 09:32:59 - mmengine - INFO - Epoch(train) [127][940/1879] lr: 1.0000e-03 eta: 19:14:08 time: 0.2834 data_time: 0.0210 memory: 8198 grad_norm: 6.1735 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9423 loss: 0.9423 2022/08/03 09:33:04 - mmengine - INFO - Epoch(train) [127][960/1879] lr: 1.0000e-03 eta: 19:14:02 time: 0.2867 data_time: 0.0242 memory: 8198 grad_norm: 6.3269 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0846 loss: 1.0846 2022/08/03 09:33:10 - mmengine - INFO - Epoch(train) [127][980/1879] lr: 1.0000e-03 eta: 19:13:57 time: 0.2826 data_time: 0.0264 memory: 8198 grad_norm: 6.3408 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/08/03 09:33:16 - mmengine - INFO - Epoch(train) [127][1000/1879] lr: 1.0000e-03 eta: 19:13:51 time: 0.2845 data_time: 0.0186 memory: 8198 grad_norm: 6.5687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1380 loss: 1.1380 2022/08/03 09:33:21 - mmengine - INFO - Epoch(train) [127][1020/1879] lr: 1.0000e-03 eta: 19:13:45 time: 0.2833 data_time: 0.0229 memory: 8198 grad_norm: 6.2489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0459 loss: 1.0459 2022/08/03 09:33:27 - mmengine - INFO - Epoch(train) [127][1040/1879] lr: 1.0000e-03 eta: 19:13:40 time: 0.2899 data_time: 0.0210 memory: 8198 grad_norm: 6.4992 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2352 loss: 1.2352 2022/08/03 09:33:33 - mmengine - INFO - Epoch(train) [127][1060/1879] lr: 1.0000e-03 eta: 19:13:34 time: 0.2871 data_time: 0.0253 memory: 8198 grad_norm: 6.5184 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1407 loss: 1.1407 2022/08/03 09:33:39 - mmengine - INFO - Epoch(train) [127][1080/1879] lr: 1.0000e-03 eta: 19:13:28 time: 0.2845 data_time: 0.0219 memory: 8198 grad_norm: 6.3237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9271 loss: 0.9271 2022/08/03 09:33:45 - mmengine - INFO - Epoch(train) [127][1100/1879] lr: 1.0000e-03 eta: 19:13:23 time: 0.3001 data_time: 0.0252 memory: 8198 grad_norm: 6.3124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0607 loss: 1.0607 2022/08/03 09:33:50 - mmengine - INFO - Epoch(train) [127][1120/1879] lr: 1.0000e-03 eta: 19:13:17 time: 0.2817 data_time: 0.0195 memory: 8198 grad_norm: 6.3428 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2879 loss: 1.2879 2022/08/03 09:33:56 - mmengine - INFO - Epoch(train) [127][1140/1879] lr: 1.0000e-03 eta: 19:13:11 time: 0.2893 data_time: 0.0210 memory: 8198 grad_norm: 6.0748 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1210 loss: 1.1210 2022/08/03 09:34:02 - mmengine - INFO - Epoch(train) [127][1160/1879] lr: 1.0000e-03 eta: 19:13:06 time: 0.2826 data_time: 0.0237 memory: 8198 grad_norm: 6.6584 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1939 loss: 1.1939 2022/08/03 09:34:08 - mmengine - INFO - Epoch(train) [127][1180/1879] lr: 1.0000e-03 eta: 19:13:00 time: 0.3011 data_time: 0.0254 memory: 8198 grad_norm: 6.3359 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0567 loss: 1.0567 2022/08/03 09:34:14 - mmengine - INFO - Epoch(train) [127][1200/1879] lr: 1.0000e-03 eta: 19:12:55 time: 0.2865 data_time: 0.0221 memory: 8198 grad_norm: 6.2823 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2477 loss: 1.2477 2022/08/03 09:34:19 - mmengine - INFO - Epoch(train) [127][1220/1879] lr: 1.0000e-03 eta: 19:12:49 time: 0.2904 data_time: 0.0299 memory: 8198 grad_norm: 6.4552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1198 loss: 1.1198 2022/08/03 09:34:25 - mmengine - INFO - Epoch(train) [127][1240/1879] lr: 1.0000e-03 eta: 19:12:43 time: 0.2848 data_time: 0.0198 memory: 8198 grad_norm: 6.4212 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1794 loss: 1.1794 2022/08/03 09:34:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:34:31 - mmengine - INFO - Epoch(train) [127][1260/1879] lr: 1.0000e-03 eta: 19:12:38 time: 0.2839 data_time: 0.0223 memory: 8198 grad_norm: 6.3330 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2108 loss: 1.2108 2022/08/03 09:34:37 - mmengine - INFO - Epoch(train) [127][1280/1879] lr: 1.0000e-03 eta: 19:12:32 time: 0.2844 data_time: 0.0236 memory: 8198 grad_norm: 6.4447 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1644 loss: 1.1644 2022/08/03 09:34:42 - mmengine - INFO - Epoch(train) [127][1300/1879] lr: 1.0000e-03 eta: 19:12:26 time: 0.2857 data_time: 0.0218 memory: 8198 grad_norm: 6.5726 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0738 loss: 1.0738 2022/08/03 09:34:48 - mmengine - INFO - Epoch(train) [127][1320/1879] lr: 1.0000e-03 eta: 19:12:21 time: 0.2882 data_time: 0.0195 memory: 8198 grad_norm: 6.5073 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2042 loss: 1.2042 2022/08/03 09:34:54 - mmengine - INFO - Epoch(train) [127][1340/1879] lr: 1.0000e-03 eta: 19:12:15 time: 0.2917 data_time: 0.0193 memory: 8198 grad_norm: 6.3020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0862 loss: 1.0862 2022/08/03 09:35:00 - mmengine - INFO - Epoch(train) [127][1360/1879] lr: 1.0000e-03 eta: 19:12:10 time: 0.2834 data_time: 0.0266 memory: 8198 grad_norm: 6.5095 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2487 loss: 1.2487 2022/08/03 09:35:05 - mmengine - INFO - Epoch(train) [127][1380/1879] lr: 1.0000e-03 eta: 19:12:04 time: 0.2830 data_time: 0.0237 memory: 8198 grad_norm: 6.4481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/08/03 09:35:11 - mmengine - INFO - Epoch(train) [127][1400/1879] lr: 1.0000e-03 eta: 19:11:58 time: 0.2867 data_time: 0.0234 memory: 8198 grad_norm: 6.5210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2831 loss: 1.2831 2022/08/03 09:35:17 - mmengine - INFO - Epoch(train) [127][1420/1879] lr: 1.0000e-03 eta: 19:11:53 time: 0.2941 data_time: 0.0228 memory: 8198 grad_norm: 6.4691 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9502 loss: 0.9502 2022/08/03 09:35:23 - mmengine - INFO - Epoch(train) [127][1440/1879] lr: 1.0000e-03 eta: 19:11:47 time: 0.2808 data_time: 0.0197 memory: 8198 grad_norm: 6.3177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8863 loss: 0.8863 2022/08/03 09:35:28 - mmengine - INFO - Epoch(train) [127][1460/1879] lr: 1.0000e-03 eta: 19:11:41 time: 0.2820 data_time: 0.0215 memory: 8198 grad_norm: 6.2806 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0708 loss: 1.0708 2022/08/03 09:35:34 - mmengine - INFO - Epoch(train) [127][1480/1879] lr: 1.0000e-03 eta: 19:11:36 time: 0.2977 data_time: 0.0244 memory: 8198 grad_norm: 6.2164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/08/03 09:35:40 - mmengine - INFO - Epoch(train) [127][1500/1879] lr: 1.0000e-03 eta: 19:11:30 time: 0.2975 data_time: 0.0237 memory: 8198 grad_norm: 6.3583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1311 loss: 1.1311 2022/08/03 09:35:46 - mmengine - INFO - Epoch(train) [127][1520/1879] lr: 1.0000e-03 eta: 19:11:25 time: 0.2825 data_time: 0.0238 memory: 8198 grad_norm: 6.6547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4323 loss: 1.4323 2022/08/03 09:35:52 - mmengine - INFO - Epoch(train) [127][1540/1879] lr: 1.0000e-03 eta: 19:11:19 time: 0.2843 data_time: 0.0231 memory: 8198 grad_norm: 6.3295 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2154 loss: 1.2154 2022/08/03 09:35:57 - mmengine - INFO - Epoch(train) [127][1560/1879] lr: 1.0000e-03 eta: 19:11:13 time: 0.2881 data_time: 0.0200 memory: 8198 grad_norm: 6.4873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1276 loss: 1.1276 2022/08/03 09:36:03 - mmengine - INFO - Epoch(train) [127][1580/1879] lr: 1.0000e-03 eta: 19:11:07 time: 0.2818 data_time: 0.0208 memory: 8198 grad_norm: 6.3934 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1143 loss: 1.1143 2022/08/03 09:36:09 - mmengine - INFO - Epoch(train) [127][1600/1879] lr: 1.0000e-03 eta: 19:11:02 time: 0.2824 data_time: 0.0192 memory: 8198 grad_norm: 6.3949 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1619 loss: 1.1619 2022/08/03 09:36:14 - mmengine - INFO - Epoch(train) [127][1620/1879] lr: 1.0000e-03 eta: 19:10:56 time: 0.2880 data_time: 0.0263 memory: 8198 grad_norm: 6.5071 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0376 loss: 1.0376 2022/08/03 09:36:20 - mmengine - INFO - Epoch(train) [127][1640/1879] lr: 1.0000e-03 eta: 19:10:50 time: 0.2826 data_time: 0.0208 memory: 8198 grad_norm: 6.4699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1112 loss: 1.1112 2022/08/03 09:36:26 - mmengine - INFO - Epoch(train) [127][1660/1879] lr: 1.0000e-03 eta: 19:10:45 time: 0.2842 data_time: 0.0214 memory: 8198 grad_norm: 6.4091 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/08/03 09:36:32 - mmengine - INFO - Epoch(train) [127][1680/1879] lr: 1.0000e-03 eta: 19:10:39 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 6.4453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1023 loss: 1.1023 2022/08/03 09:36:37 - mmengine - INFO - Epoch(train) [127][1700/1879] lr: 1.0000e-03 eta: 19:10:33 time: 0.2924 data_time: 0.0207 memory: 8198 grad_norm: 6.4460 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2622 loss: 1.2622 2022/08/03 09:36:43 - mmengine - INFO - Epoch(train) [127][1720/1879] lr: 1.0000e-03 eta: 19:10:28 time: 0.2800 data_time: 0.0205 memory: 8198 grad_norm: 6.5211 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1803 loss: 1.1803 2022/08/03 09:36:49 - mmengine - INFO - Epoch(train) [127][1740/1879] lr: 1.0000e-03 eta: 19:10:22 time: 0.2885 data_time: 0.0247 memory: 8198 grad_norm: 6.1923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2782 loss: 1.2782 2022/08/03 09:36:55 - mmengine - INFO - Epoch(train) [127][1760/1879] lr: 1.0000e-03 eta: 19:10:16 time: 0.2843 data_time: 0.0206 memory: 8198 grad_norm: 6.2912 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9986 loss: 0.9986 2022/08/03 09:37:00 - mmengine - INFO - Epoch(train) [127][1780/1879] lr: 1.0000e-03 eta: 19:10:11 time: 0.2814 data_time: 0.0204 memory: 8198 grad_norm: 6.6896 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/08/03 09:37:06 - mmengine - INFO - Epoch(train) [127][1800/1879] lr: 1.0000e-03 eta: 19:10:05 time: 0.2870 data_time: 0.0195 memory: 8198 grad_norm: 6.5071 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0642 loss: 1.0642 2022/08/03 09:37:12 - mmengine - INFO - Epoch(train) [127][1820/1879] lr: 1.0000e-03 eta: 19:09:59 time: 0.2832 data_time: 0.0237 memory: 8198 grad_norm: 6.4530 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0135 loss: 1.0135 2022/08/03 09:37:18 - mmengine - INFO - Epoch(train) [127][1840/1879] lr: 1.0000e-03 eta: 19:09:54 time: 0.2851 data_time: 0.0193 memory: 8198 grad_norm: 6.2646 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1746 loss: 1.1746 2022/08/03 09:37:23 - mmengine - INFO - Epoch(train) [127][1860/1879] lr: 1.0000e-03 eta: 19:09:48 time: 0.2882 data_time: 0.0284 memory: 8198 grad_norm: 6.3280 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1652 loss: 1.1652 2022/08/03 09:37:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:37:28 - mmengine - INFO - Epoch(train) [127][1879/1879] lr: 1.0000e-03 eta: 19:09:48 time: 0.2581 data_time: 0.0198 memory: 8198 grad_norm: 6.3273 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2202 loss: 1.2202 2022/08/03 09:37:36 - mmengine - INFO - Epoch(train) [128][20/1879] lr: 1.0000e-03 eta: 19:09:34 time: 0.4062 data_time: 0.1036 memory: 8198 grad_norm: 6.4848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/08/03 09:37:42 - mmengine - INFO - Epoch(train) [128][40/1879] lr: 1.0000e-03 eta: 19:09:28 time: 0.2868 data_time: 0.0245 memory: 8198 grad_norm: 6.5188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0681 loss: 1.0681 2022/08/03 09:37:48 - mmengine - INFO - Epoch(train) [128][60/1879] lr: 1.0000e-03 eta: 19:09:23 time: 0.2983 data_time: 0.0251 memory: 8198 grad_norm: 6.3721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2820 loss: 1.2820 2022/08/03 09:37:54 - mmengine - INFO - Epoch(train) [128][80/1879] lr: 1.0000e-03 eta: 19:09:17 time: 0.2818 data_time: 0.0191 memory: 8198 grad_norm: 6.2206 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0334 loss: 1.0334 2022/08/03 09:37:59 - mmengine - INFO - Epoch(train) [128][100/1879] lr: 1.0000e-03 eta: 19:09:11 time: 0.2865 data_time: 0.0253 memory: 8198 grad_norm: 6.2826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0682 loss: 1.0682 2022/08/03 09:38:05 - mmengine - INFO - Epoch(train) [128][120/1879] lr: 1.0000e-03 eta: 19:09:06 time: 0.2991 data_time: 0.0198 memory: 8198 grad_norm: 6.1864 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0186 loss: 1.0186 2022/08/03 09:38:11 - mmengine - INFO - Epoch(train) [128][140/1879] lr: 1.0000e-03 eta: 19:09:00 time: 0.2829 data_time: 0.0219 memory: 8198 grad_norm: 6.3253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/08/03 09:38:17 - mmengine - INFO - Epoch(train) [128][160/1879] lr: 1.0000e-03 eta: 19:08:55 time: 0.2856 data_time: 0.0233 memory: 8198 grad_norm: 6.3908 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1132 loss: 1.1132 2022/08/03 09:38:23 - mmengine - INFO - Epoch(train) [128][180/1879] lr: 1.0000e-03 eta: 19:08:49 time: 0.2872 data_time: 0.0252 memory: 8198 grad_norm: 6.5521 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1787 loss: 1.1787 2022/08/03 09:38:28 - mmengine - INFO - Epoch(train) [128][200/1879] lr: 1.0000e-03 eta: 19:08:43 time: 0.2925 data_time: 0.0229 memory: 8198 grad_norm: 6.2368 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0261 loss: 1.0261 2022/08/03 09:38:34 - mmengine - INFO - Epoch(train) [128][220/1879] lr: 1.0000e-03 eta: 19:08:38 time: 0.2824 data_time: 0.0223 memory: 8198 grad_norm: 6.5327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0245 loss: 1.0245 2022/08/03 09:38:40 - mmengine - INFO - Epoch(train) [128][240/1879] lr: 1.0000e-03 eta: 19:08:32 time: 0.2840 data_time: 0.0200 memory: 8198 grad_norm: 6.2509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9719 loss: 0.9719 2022/08/03 09:38:46 - mmengine - INFO - Epoch(train) [128][260/1879] lr: 1.0000e-03 eta: 19:08:26 time: 0.2844 data_time: 0.0246 memory: 8198 grad_norm: 6.4792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0050 loss: 1.0050 2022/08/03 09:38:51 - mmengine - INFO - Epoch(train) [128][280/1879] lr: 1.0000e-03 eta: 19:08:21 time: 0.2852 data_time: 0.0276 memory: 8198 grad_norm: 6.2153 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9826 loss: 0.9826 2022/08/03 09:38:57 - mmengine - INFO - Epoch(train) [128][300/1879] lr: 1.0000e-03 eta: 19:08:15 time: 0.2862 data_time: 0.0225 memory: 8198 grad_norm: 6.3532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0692 loss: 1.0692 2022/08/03 09:39:03 - mmengine - INFO - Epoch(train) [128][320/1879] lr: 1.0000e-03 eta: 19:08:09 time: 0.2843 data_time: 0.0231 memory: 8198 grad_norm: 6.4337 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/03 09:39:09 - mmengine - INFO - Epoch(train) [128][340/1879] lr: 1.0000e-03 eta: 19:08:04 time: 0.2896 data_time: 0.0232 memory: 8198 grad_norm: 6.5862 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0595 loss: 1.0595 2022/08/03 09:39:14 - mmengine - INFO - Epoch(train) [128][360/1879] lr: 1.0000e-03 eta: 19:07:58 time: 0.2842 data_time: 0.0200 memory: 8198 grad_norm: 6.3205 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0785 loss: 1.0785 2022/08/03 09:39:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:39:20 - mmengine - INFO - Epoch(train) [128][380/1879] lr: 1.0000e-03 eta: 19:07:52 time: 0.2836 data_time: 0.0258 memory: 8198 grad_norm: 6.3598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0100 loss: 1.0100 2022/08/03 09:39:26 - mmengine - INFO - Epoch(train) [128][400/1879] lr: 1.0000e-03 eta: 19:07:47 time: 0.2835 data_time: 0.0187 memory: 8198 grad_norm: 6.6793 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1041 loss: 1.1041 2022/08/03 09:39:31 - mmengine - INFO - Epoch(train) [128][420/1879] lr: 1.0000e-03 eta: 19:07:41 time: 0.2834 data_time: 0.0272 memory: 8198 grad_norm: 6.2808 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0421 loss: 1.0421 2022/08/03 09:39:37 - mmengine - INFO - Epoch(train) [128][440/1879] lr: 1.0000e-03 eta: 19:07:35 time: 0.2822 data_time: 0.0206 memory: 8198 grad_norm: 6.4497 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1442 loss: 1.1442 2022/08/03 09:39:43 - mmengine - INFO - Epoch(train) [128][460/1879] lr: 1.0000e-03 eta: 19:07:29 time: 0.2850 data_time: 0.0207 memory: 8198 grad_norm: 6.3812 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/03 09:39:48 - mmengine - INFO - Epoch(train) [128][480/1879] lr: 1.0000e-03 eta: 19:07:24 time: 0.2897 data_time: 0.0181 memory: 8198 grad_norm: 6.3640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/08/03 09:39:54 - mmengine - INFO - Epoch(train) [128][500/1879] lr: 1.0000e-03 eta: 19:07:18 time: 0.2912 data_time: 0.0227 memory: 8198 grad_norm: 6.3988 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/08/03 09:40:00 - mmengine - INFO - Epoch(train) [128][520/1879] lr: 1.0000e-03 eta: 19:07:12 time: 0.2801 data_time: 0.0246 memory: 8198 grad_norm: 6.2755 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1833 loss: 1.1833 2022/08/03 09:40:06 - mmengine - INFO - Epoch(train) [128][540/1879] lr: 1.0000e-03 eta: 19:07:07 time: 0.2894 data_time: 0.0272 memory: 8198 grad_norm: 6.1343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/08/03 09:40:12 - mmengine - INFO - Epoch(train) [128][560/1879] lr: 1.0000e-03 eta: 19:07:01 time: 0.2937 data_time: 0.0336 memory: 8198 grad_norm: 6.4655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9888 loss: 0.9888 2022/08/03 09:40:17 - mmengine - INFO - Epoch(train) [128][580/1879] lr: 1.0000e-03 eta: 19:06:56 time: 0.2831 data_time: 0.0250 memory: 8198 grad_norm: 6.4530 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0990 loss: 1.0990 2022/08/03 09:40:23 - mmengine - INFO - Epoch(train) [128][600/1879] lr: 1.0000e-03 eta: 19:06:50 time: 0.2829 data_time: 0.0186 memory: 8198 grad_norm: 6.3912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1233 loss: 1.1233 2022/08/03 09:40:29 - mmengine - INFO - Epoch(train) [128][620/1879] lr: 1.0000e-03 eta: 19:06:44 time: 0.2891 data_time: 0.0250 memory: 8198 grad_norm: 6.4639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/08/03 09:40:34 - mmengine - INFO - Epoch(train) [128][640/1879] lr: 1.0000e-03 eta: 19:06:39 time: 0.2808 data_time: 0.0210 memory: 8198 grad_norm: 6.3088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0938 loss: 1.0938 2022/08/03 09:40:40 - mmengine - INFO - Epoch(train) [128][660/1879] lr: 1.0000e-03 eta: 19:06:33 time: 0.2885 data_time: 0.0282 memory: 8198 grad_norm: 6.2481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9178 loss: 0.9178 2022/08/03 09:40:46 - mmengine - INFO - Epoch(train) [128][680/1879] lr: 1.0000e-03 eta: 19:06:27 time: 0.2879 data_time: 0.0207 memory: 8198 grad_norm: 6.3317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1061 loss: 1.1061 2022/08/03 09:40:52 - mmengine - INFO - Epoch(train) [128][700/1879] lr: 1.0000e-03 eta: 19:06:22 time: 0.2811 data_time: 0.0202 memory: 8198 grad_norm: 6.6099 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1153 loss: 1.1153 2022/08/03 09:40:57 - mmengine - INFO - Epoch(train) [128][720/1879] lr: 1.0000e-03 eta: 19:06:16 time: 0.2844 data_time: 0.0245 memory: 8198 grad_norm: 6.2132 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9154 loss: 0.9154 2022/08/03 09:41:03 - mmengine - INFO - Epoch(train) [128][740/1879] lr: 1.0000e-03 eta: 19:06:10 time: 0.2840 data_time: 0.0209 memory: 8198 grad_norm: 6.4358 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9454 loss: 0.9454 2022/08/03 09:41:09 - mmengine - INFO - Epoch(train) [128][760/1879] lr: 1.0000e-03 eta: 19:06:05 time: 0.2887 data_time: 0.0234 memory: 8198 grad_norm: 6.3589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0962 loss: 1.0962 2022/08/03 09:41:15 - mmengine - INFO - Epoch(train) [128][780/1879] lr: 1.0000e-03 eta: 19:05:59 time: 0.2848 data_time: 0.0214 memory: 8198 grad_norm: 6.4842 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/08/03 09:41:20 - mmengine - INFO - Epoch(train) [128][800/1879] lr: 1.0000e-03 eta: 19:05:53 time: 0.2816 data_time: 0.0234 memory: 8198 grad_norm: 6.5527 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1898 loss: 1.1898 2022/08/03 09:41:26 - mmengine - INFO - Epoch(train) [128][820/1879] lr: 1.0000e-03 eta: 19:05:47 time: 0.2880 data_time: 0.0232 memory: 8198 grad_norm: 6.4571 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0841 loss: 1.0841 2022/08/03 09:41:32 - mmengine - INFO - Epoch(train) [128][840/1879] lr: 1.0000e-03 eta: 19:05:42 time: 0.2829 data_time: 0.0204 memory: 8198 grad_norm: 6.5642 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0462 loss: 1.0462 2022/08/03 09:41:37 - mmengine - INFO - Epoch(train) [128][860/1879] lr: 1.0000e-03 eta: 19:05:36 time: 0.2836 data_time: 0.0249 memory: 8198 grad_norm: 6.3913 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0943 loss: 1.0943 2022/08/03 09:41:43 - mmengine - INFO - Epoch(train) [128][880/1879] lr: 1.0000e-03 eta: 19:05:30 time: 0.2831 data_time: 0.0204 memory: 8198 grad_norm: 6.4577 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8286 loss: 0.8286 2022/08/03 09:41:49 - mmengine - INFO - Epoch(train) [128][900/1879] lr: 1.0000e-03 eta: 19:05:25 time: 0.2869 data_time: 0.0241 memory: 8198 grad_norm: 6.5421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0640 loss: 1.0640 2022/08/03 09:41:54 - mmengine - INFO - Epoch(train) [128][920/1879] lr: 1.0000e-03 eta: 19:05:19 time: 0.2830 data_time: 0.0249 memory: 8198 grad_norm: 6.3895 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1006 loss: 1.1006 2022/08/03 09:42:00 - mmengine - INFO - Epoch(train) [128][940/1879] lr: 1.0000e-03 eta: 19:05:13 time: 0.2834 data_time: 0.0201 memory: 8198 grad_norm: 6.3484 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0520 loss: 1.0520 2022/08/03 09:42:06 - mmengine - INFO - Epoch(train) [128][960/1879] lr: 1.0000e-03 eta: 19:05:08 time: 0.2884 data_time: 0.0212 memory: 8198 grad_norm: 6.5272 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0843 loss: 1.0843 2022/08/03 09:42:12 - mmengine - INFO - Epoch(train) [128][980/1879] lr: 1.0000e-03 eta: 19:05:02 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 6.4706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0672 loss: 1.0672 2022/08/03 09:42:17 - mmengine - INFO - Epoch(train) [128][1000/1879] lr: 1.0000e-03 eta: 19:04:56 time: 0.2855 data_time: 0.0227 memory: 8198 grad_norm: 6.7585 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1475 loss: 1.1475 2022/08/03 09:42:23 - mmengine - INFO - Epoch(train) [128][1020/1879] lr: 1.0000e-03 eta: 19:04:51 time: 0.2846 data_time: 0.0224 memory: 8198 grad_norm: 6.4911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/08/03 09:42:29 - mmengine - INFO - Epoch(train) [128][1040/1879] lr: 1.0000e-03 eta: 19:04:45 time: 0.2929 data_time: 0.0273 memory: 8198 grad_norm: 6.6415 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0530 loss: 1.0530 2022/08/03 09:42:35 - mmengine - INFO - Epoch(train) [128][1060/1879] lr: 1.0000e-03 eta: 19:04:39 time: 0.2827 data_time: 0.0228 memory: 8198 grad_norm: 6.4453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0947 loss: 1.0947 2022/08/03 09:42:40 - mmengine - INFO - Epoch(train) [128][1080/1879] lr: 1.0000e-03 eta: 19:04:34 time: 0.2836 data_time: 0.0194 memory: 8198 grad_norm: 6.4299 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0749 loss: 1.0749 2022/08/03 09:42:46 - mmengine - INFO - Epoch(train) [128][1100/1879] lr: 1.0000e-03 eta: 19:04:28 time: 0.2867 data_time: 0.0254 memory: 8198 grad_norm: 6.4615 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2043 loss: 1.2043 2022/08/03 09:42:52 - mmengine - INFO - Epoch(train) [128][1120/1879] lr: 1.0000e-03 eta: 19:04:22 time: 0.2834 data_time: 0.0207 memory: 8198 grad_norm: 6.4798 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0332 loss: 1.0332 2022/08/03 09:42:57 - mmengine - INFO - Epoch(train) [128][1140/1879] lr: 1.0000e-03 eta: 19:04:16 time: 0.2822 data_time: 0.0217 memory: 8198 grad_norm: 6.3750 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1451 loss: 1.1451 2022/08/03 09:43:03 - mmengine - INFO - Epoch(train) [128][1160/1879] lr: 1.0000e-03 eta: 19:04:11 time: 0.2851 data_time: 0.0213 memory: 8198 grad_norm: 6.3473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/03 09:43:09 - mmengine - INFO - Epoch(train) [128][1180/1879] lr: 1.0000e-03 eta: 19:04:05 time: 0.2916 data_time: 0.0239 memory: 8198 grad_norm: 6.2184 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1029 loss: 1.1029 2022/08/03 09:43:15 - mmengine - INFO - Epoch(train) [128][1200/1879] lr: 1.0000e-03 eta: 19:04:00 time: 0.2839 data_time: 0.0234 memory: 8198 grad_norm: 6.4456 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9906 loss: 0.9906 2022/08/03 09:43:20 - mmengine - INFO - Epoch(train) [128][1220/1879] lr: 1.0000e-03 eta: 19:03:54 time: 0.2833 data_time: 0.0193 memory: 8198 grad_norm: 6.5072 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0325 loss: 1.0325 2022/08/03 09:43:26 - mmengine - INFO - Epoch(train) [128][1240/1879] lr: 1.0000e-03 eta: 19:03:48 time: 0.2844 data_time: 0.0232 memory: 8198 grad_norm: 6.4662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2493 loss: 1.2493 2022/08/03 09:43:32 - mmengine - INFO - Epoch(train) [128][1260/1879] lr: 1.0000e-03 eta: 19:03:42 time: 0.2837 data_time: 0.0252 memory: 8198 grad_norm: 6.4062 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1362 loss: 1.1362 2022/08/03 09:43:37 - mmengine - INFO - Epoch(train) [128][1280/1879] lr: 1.0000e-03 eta: 19:03:37 time: 0.2836 data_time: 0.0220 memory: 8198 grad_norm: 6.2489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/08/03 09:43:43 - mmengine - INFO - Epoch(train) [128][1300/1879] lr: 1.0000e-03 eta: 19:03:31 time: 0.2872 data_time: 0.0234 memory: 8198 grad_norm: 6.2720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/08/03 09:43:49 - mmengine - INFO - Epoch(train) [128][1320/1879] lr: 1.0000e-03 eta: 19:03:25 time: 0.2855 data_time: 0.0207 memory: 8198 grad_norm: 6.5399 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2279 loss: 1.2279 2022/08/03 09:43:55 - mmengine - INFO - Epoch(train) [128][1340/1879] lr: 1.0000e-03 eta: 19:03:20 time: 0.2834 data_time: 0.0210 memory: 8198 grad_norm: 6.4401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/08/03 09:44:00 - mmengine - INFO - Epoch(train) [128][1360/1879] lr: 1.0000e-03 eta: 19:03:14 time: 0.2835 data_time: 0.0218 memory: 8198 grad_norm: 6.6356 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1505 loss: 1.1505 2022/08/03 09:44:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:44:06 - mmengine - INFO - Epoch(train) [128][1380/1879] lr: 1.0000e-03 eta: 19:03:08 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 6.2807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8464 loss: 0.8464 2022/08/03 09:44:12 - mmengine - INFO - Epoch(train) [128][1400/1879] lr: 1.0000e-03 eta: 19:03:03 time: 0.2844 data_time: 0.0190 memory: 8198 grad_norm: 6.3890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/08/03 09:44:18 - mmengine - INFO - Epoch(train) [128][1420/1879] lr: 1.0000e-03 eta: 19:02:57 time: 0.2863 data_time: 0.0205 memory: 8198 grad_norm: 6.4058 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9197 loss: 0.9197 2022/08/03 09:44:23 - mmengine - INFO - Epoch(train) [128][1440/1879] lr: 1.0000e-03 eta: 19:02:51 time: 0.2836 data_time: 0.0239 memory: 8198 grad_norm: 6.4992 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0797 loss: 1.0797 2022/08/03 09:44:29 - mmengine - INFO - Epoch(train) [128][1460/1879] lr: 1.0000e-03 eta: 19:02:46 time: 0.2863 data_time: 0.0260 memory: 8198 grad_norm: 6.2699 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9751 loss: 0.9751 2022/08/03 09:44:35 - mmengine - INFO - Epoch(train) [128][1480/1879] lr: 1.0000e-03 eta: 19:02:40 time: 0.2846 data_time: 0.0209 memory: 8198 grad_norm: 6.5876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1291 loss: 1.1291 2022/08/03 09:44:40 - mmengine - INFO - Epoch(train) [128][1500/1879] lr: 1.0000e-03 eta: 19:02:34 time: 0.2842 data_time: 0.0211 memory: 8198 grad_norm: 6.5915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0794 loss: 1.0794 2022/08/03 09:44:46 - mmengine - INFO - Epoch(train) [128][1520/1879] lr: 1.0000e-03 eta: 19:02:28 time: 0.2811 data_time: 0.0248 memory: 8198 grad_norm: 6.4335 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1000 loss: 1.1000 2022/08/03 09:44:52 - mmengine - INFO - Epoch(train) [128][1540/1879] lr: 1.0000e-03 eta: 19:02:23 time: 0.2841 data_time: 0.0262 memory: 8198 grad_norm: 6.4748 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0130 loss: 1.0130 2022/08/03 09:44:58 - mmengine - INFO - Epoch(train) [128][1560/1879] lr: 1.0000e-03 eta: 19:02:17 time: 0.2884 data_time: 0.0176 memory: 8198 grad_norm: 6.4596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1156 loss: 1.1156 2022/08/03 09:45:03 - mmengine - INFO - Epoch(train) [128][1580/1879] lr: 1.0000e-03 eta: 19:02:12 time: 0.2903 data_time: 0.0253 memory: 8198 grad_norm: 6.3687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9422 loss: 0.9422 2022/08/03 09:45:09 - mmengine - INFO - Epoch(train) [128][1600/1879] lr: 1.0000e-03 eta: 19:02:06 time: 0.2817 data_time: 0.0170 memory: 8198 grad_norm: 6.5615 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1218 loss: 1.1218 2022/08/03 09:45:15 - mmengine - INFO - Epoch(train) [128][1620/1879] lr: 1.0000e-03 eta: 19:02:00 time: 0.2903 data_time: 0.0209 memory: 8198 grad_norm: 6.3595 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1697 loss: 1.1697 2022/08/03 09:45:21 - mmengine - INFO - Epoch(train) [128][1640/1879] lr: 1.0000e-03 eta: 19:01:55 time: 0.2864 data_time: 0.0237 memory: 8198 grad_norm: 6.5673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0777 loss: 1.0777 2022/08/03 09:45:26 - mmengine - INFO - Epoch(train) [128][1660/1879] lr: 1.0000e-03 eta: 19:01:49 time: 0.2820 data_time: 0.0224 memory: 8198 grad_norm: 6.5556 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1225 loss: 1.1225 2022/08/03 09:45:32 - mmengine - INFO - Epoch(train) [128][1680/1879] lr: 1.0000e-03 eta: 19:01:43 time: 0.2844 data_time: 0.0251 memory: 8198 grad_norm: 6.5316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1771 loss: 1.1771 2022/08/03 09:45:38 - mmengine - INFO - Epoch(train) [128][1700/1879] lr: 1.0000e-03 eta: 19:01:37 time: 0.2859 data_time: 0.0261 memory: 8198 grad_norm: 6.5367 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1093 loss: 1.1093 2022/08/03 09:45:43 - mmengine - INFO - Epoch(train) [128][1720/1879] lr: 1.0000e-03 eta: 19:01:32 time: 0.2826 data_time: 0.0216 memory: 8198 grad_norm: 6.3903 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0541 loss: 1.0541 2022/08/03 09:45:49 - mmengine - INFO - Epoch(train) [128][1740/1879] lr: 1.0000e-03 eta: 19:01:26 time: 0.2883 data_time: 0.0223 memory: 8198 grad_norm: 6.4603 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0900 loss: 1.0900 2022/08/03 09:45:55 - mmengine - INFO - Epoch(train) [128][1760/1879] lr: 1.0000e-03 eta: 19:01:20 time: 0.2824 data_time: 0.0233 memory: 8198 grad_norm: 6.6597 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/08/03 09:46:01 - mmengine - INFO - Epoch(train) [128][1780/1879] lr: 1.0000e-03 eta: 19:01:15 time: 0.2840 data_time: 0.0239 memory: 8198 grad_norm: 6.4666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1096 loss: 1.1096 2022/08/03 09:46:06 - mmengine - INFO - Epoch(train) [128][1800/1879] lr: 1.0000e-03 eta: 19:01:09 time: 0.2810 data_time: 0.0212 memory: 8198 grad_norm: 6.3323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1301 loss: 1.1301 2022/08/03 09:46:12 - mmengine - INFO - Epoch(train) [128][1820/1879] lr: 1.0000e-03 eta: 19:01:03 time: 0.2840 data_time: 0.0272 memory: 8198 grad_norm: 6.6124 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1619 loss: 1.1619 2022/08/03 09:46:18 - mmengine - INFO - Epoch(train) [128][1840/1879] lr: 1.0000e-03 eta: 19:00:58 time: 0.2857 data_time: 0.0169 memory: 8198 grad_norm: 6.5352 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2958 loss: 1.2958 2022/08/03 09:46:23 - mmengine - INFO - Epoch(train) [128][1860/1879] lr: 1.0000e-03 eta: 19:00:52 time: 0.2825 data_time: 0.0233 memory: 8198 grad_norm: 6.3687 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1063 loss: 1.1063 2022/08/03 09:46:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:46:28 - mmengine - INFO - Epoch(train) [128][1879/1879] lr: 1.0000e-03 eta: 19:00:52 time: 0.2551 data_time: 0.0149 memory: 8198 grad_norm: 6.7652 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2909 loss: 1.2909 2022/08/03 09:46:28 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/08/03 09:46:38 - mmengine - INFO - Epoch(train) [129][20/1879] lr: 1.0000e-03 eta: 19:00:37 time: 0.3649 data_time: 0.1050 memory: 8198 grad_norm: 6.2613 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2850 loss: 1.2850 2022/08/03 09:46:44 - mmengine - INFO - Epoch(train) [129][40/1879] lr: 1.0000e-03 eta: 19:00:31 time: 0.2975 data_time: 0.0330 memory: 8198 grad_norm: 6.3420 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0646 loss: 1.0646 2022/08/03 09:46:50 - mmengine - INFO - Epoch(train) [129][60/1879] lr: 1.0000e-03 eta: 19:00:26 time: 0.2865 data_time: 0.0273 memory: 8198 grad_norm: 6.2486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8847 loss: 0.8847 2022/08/03 09:46:55 - mmengine - INFO - Epoch(train) [129][80/1879] lr: 1.0000e-03 eta: 19:00:20 time: 0.2837 data_time: 0.0200 memory: 8198 grad_norm: 6.2936 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/08/03 09:47:01 - mmengine - INFO - Epoch(train) [129][100/1879] lr: 1.0000e-03 eta: 19:00:14 time: 0.2820 data_time: 0.0245 memory: 8198 grad_norm: 6.5662 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0273 loss: 1.0273 2022/08/03 09:47:07 - mmengine - INFO - Epoch(train) [129][120/1879] lr: 1.0000e-03 eta: 19:00:09 time: 0.2811 data_time: 0.0221 memory: 8198 grad_norm: 6.2223 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1758 loss: 1.1758 2022/08/03 09:47:12 - mmengine - INFO - Epoch(train) [129][140/1879] lr: 1.0000e-03 eta: 19:00:03 time: 0.2809 data_time: 0.0211 memory: 8198 grad_norm: 6.5490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0018 loss: 1.0018 2022/08/03 09:47:18 - mmengine - INFO - Epoch(train) [129][160/1879] lr: 1.0000e-03 eta: 18:59:57 time: 0.2843 data_time: 0.0226 memory: 8198 grad_norm: 6.3974 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2054 loss: 1.2054 2022/08/03 09:47:24 - mmengine - INFO - Epoch(train) [129][180/1879] lr: 1.0000e-03 eta: 18:59:52 time: 0.2964 data_time: 0.0216 memory: 8198 grad_norm: 6.4784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1011 loss: 1.1011 2022/08/03 09:47:29 - mmengine - INFO - Epoch(train) [129][200/1879] lr: 1.0000e-03 eta: 18:59:46 time: 0.2834 data_time: 0.0237 memory: 8198 grad_norm: 6.2042 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1685 loss: 1.1685 2022/08/03 09:47:35 - mmengine - INFO - Epoch(train) [129][220/1879] lr: 1.0000e-03 eta: 18:59:41 time: 0.2972 data_time: 0.0229 memory: 8198 grad_norm: 6.5993 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2800 loss: 1.2800 2022/08/03 09:47:41 - mmengine - INFO - Epoch(train) [129][240/1879] lr: 1.0000e-03 eta: 18:59:35 time: 0.2810 data_time: 0.0236 memory: 8198 grad_norm: 6.2214 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9876 loss: 0.9876 2022/08/03 09:47:47 - mmengine - INFO - Epoch(train) [129][260/1879] lr: 1.0000e-03 eta: 18:59:29 time: 0.2848 data_time: 0.0215 memory: 8198 grad_norm: 6.6060 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2358 loss: 1.2358 2022/08/03 09:47:52 - mmengine - INFO - Epoch(train) [129][280/1879] lr: 1.0000e-03 eta: 18:59:23 time: 0.2805 data_time: 0.0193 memory: 8198 grad_norm: 6.5767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1643 loss: 1.1643 2022/08/03 09:47:58 - mmengine - INFO - Epoch(train) [129][300/1879] lr: 1.0000e-03 eta: 18:59:18 time: 0.2842 data_time: 0.0240 memory: 8198 grad_norm: 6.5436 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1339 loss: 1.1339 2022/08/03 09:48:04 - mmengine - INFO - Epoch(train) [129][320/1879] lr: 1.0000e-03 eta: 18:59:12 time: 0.2831 data_time: 0.0201 memory: 8198 grad_norm: 6.5481 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0221 loss: 1.0221 2022/08/03 09:48:10 - mmengine - INFO - Epoch(train) [129][340/1879] lr: 1.0000e-03 eta: 18:59:06 time: 0.2883 data_time: 0.0207 memory: 8198 grad_norm: 6.4843 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0371 loss: 1.0371 2022/08/03 09:48:16 - mmengine - INFO - Epoch(train) [129][360/1879] lr: 1.0000e-03 eta: 18:59:01 time: 0.2998 data_time: 0.0195 memory: 8198 grad_norm: 6.3858 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1856 loss: 1.1856 2022/08/03 09:48:21 - mmengine - INFO - Epoch(train) [129][380/1879] lr: 1.0000e-03 eta: 18:58:55 time: 0.2814 data_time: 0.0241 memory: 8198 grad_norm: 6.2941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1933 loss: 1.1933 2022/08/03 09:48:27 - mmengine - INFO - Epoch(train) [129][400/1879] lr: 1.0000e-03 eta: 18:58:49 time: 0.2834 data_time: 0.0170 memory: 8198 grad_norm: 6.2207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8391 loss: 0.8391 2022/08/03 09:48:33 - mmengine - INFO - Epoch(train) [129][420/1879] lr: 1.0000e-03 eta: 18:58:44 time: 0.2822 data_time: 0.0259 memory: 8198 grad_norm: 6.3985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9795 loss: 0.9795 2022/08/03 09:48:38 - mmengine - INFO - Epoch(train) [129][440/1879] lr: 1.0000e-03 eta: 18:58:38 time: 0.2855 data_time: 0.0201 memory: 8198 grad_norm: 6.7514 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0476 loss: 1.0476 2022/08/03 09:48:44 - mmengine - INFO - Epoch(train) [129][460/1879] lr: 1.0000e-03 eta: 18:58:32 time: 0.2854 data_time: 0.0244 memory: 8198 grad_norm: 6.4570 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0708 loss: 1.0708 2022/08/03 09:48:50 - mmengine - INFO - Epoch(train) [129][480/1879] lr: 1.0000e-03 eta: 18:58:27 time: 0.2831 data_time: 0.0194 memory: 8198 grad_norm: 6.5602 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0504 loss: 1.0504 2022/08/03 09:48:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:48:56 - mmengine - INFO - Epoch(train) [129][500/1879] lr: 1.0000e-03 eta: 18:58:21 time: 0.2898 data_time: 0.0226 memory: 8198 grad_norm: 6.6641 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2954 loss: 1.2954 2022/08/03 09:49:01 - mmengine - INFO - Epoch(train) [129][520/1879] lr: 1.0000e-03 eta: 18:58:15 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 6.3948 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0719 loss: 1.0719 2022/08/03 09:49:07 - mmengine - INFO - Epoch(train) [129][540/1879] lr: 1.0000e-03 eta: 18:58:10 time: 0.2854 data_time: 0.0213 memory: 8198 grad_norm: 6.3098 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/08/03 09:49:13 - mmengine - INFO - Epoch(train) [129][560/1879] lr: 1.0000e-03 eta: 18:58:04 time: 0.2854 data_time: 0.0193 memory: 8198 grad_norm: 6.0177 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1186 loss: 1.1186 2022/08/03 09:49:19 - mmengine - INFO - Epoch(train) [129][580/1879] lr: 1.0000e-03 eta: 18:57:58 time: 0.2911 data_time: 0.0254 memory: 8198 grad_norm: 6.3717 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1079 loss: 1.1079 2022/08/03 09:49:24 - mmengine - INFO - Epoch(train) [129][600/1879] lr: 1.0000e-03 eta: 18:57:53 time: 0.2839 data_time: 0.0201 memory: 8198 grad_norm: 6.5427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1336 loss: 1.1336 2022/08/03 09:49:30 - mmengine - INFO - Epoch(train) [129][620/1879] lr: 1.0000e-03 eta: 18:57:47 time: 0.2829 data_time: 0.0196 memory: 8198 grad_norm: 6.5943 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1137 loss: 1.1137 2022/08/03 09:49:36 - mmengine - INFO - Epoch(train) [129][640/1879] lr: 1.0000e-03 eta: 18:57:41 time: 0.2921 data_time: 0.0272 memory: 8198 grad_norm: 6.4098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1881 loss: 1.1881 2022/08/03 09:49:41 - mmengine - INFO - Epoch(train) [129][660/1879] lr: 1.0000e-03 eta: 18:57:36 time: 0.2796 data_time: 0.0198 memory: 8198 grad_norm: 6.3785 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2227 loss: 1.2227 2022/08/03 09:49:47 - mmengine - INFO - Epoch(train) [129][680/1879] lr: 1.0000e-03 eta: 18:57:30 time: 0.2870 data_time: 0.0167 memory: 8198 grad_norm: 6.6245 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1736 loss: 1.1736 2022/08/03 09:49:53 - mmengine - INFO - Epoch(train) [129][700/1879] lr: 1.0000e-03 eta: 18:57:24 time: 0.2871 data_time: 0.0297 memory: 8198 grad_norm: 6.6079 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0706 loss: 1.0706 2022/08/03 09:49:59 - mmengine - INFO - Epoch(train) [129][720/1879] lr: 1.0000e-03 eta: 18:57:19 time: 0.2861 data_time: 0.0191 memory: 8198 grad_norm: 6.3828 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0907 loss: 1.0907 2022/08/03 09:50:04 - mmengine - INFO - Epoch(train) [129][740/1879] lr: 1.0000e-03 eta: 18:57:13 time: 0.2891 data_time: 0.0263 memory: 8198 grad_norm: 6.4437 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/08/03 09:50:10 - mmengine - INFO - Epoch(train) [129][760/1879] lr: 1.0000e-03 eta: 18:57:08 time: 0.2937 data_time: 0.0200 memory: 8198 grad_norm: 6.5067 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2008 loss: 1.2008 2022/08/03 09:50:16 - mmengine - INFO - Epoch(train) [129][780/1879] lr: 1.0000e-03 eta: 18:57:02 time: 0.2842 data_time: 0.0187 memory: 8198 grad_norm: 6.5197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1561 loss: 1.1561 2022/08/03 09:50:22 - mmengine - INFO - Epoch(train) [129][800/1879] lr: 1.0000e-03 eta: 18:56:56 time: 0.2853 data_time: 0.0257 memory: 8198 grad_norm: 6.3932 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1530 loss: 1.1530 2022/08/03 09:50:28 - mmengine - INFO - Epoch(train) [129][820/1879] lr: 1.0000e-03 eta: 18:56:51 time: 0.2970 data_time: 0.0240 memory: 8198 grad_norm: 6.6406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1395 loss: 1.1395 2022/08/03 09:50:33 - mmengine - INFO - Epoch(train) [129][840/1879] lr: 1.0000e-03 eta: 18:56:45 time: 0.2811 data_time: 0.0255 memory: 8198 grad_norm: 6.3705 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9726 loss: 0.9726 2022/08/03 09:50:39 - mmengine - INFO - Epoch(train) [129][860/1879] lr: 1.0000e-03 eta: 18:56:39 time: 0.2863 data_time: 0.0263 memory: 8198 grad_norm: 6.4186 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0107 loss: 1.0107 2022/08/03 09:50:45 - mmengine - INFO - Epoch(train) [129][880/1879] lr: 1.0000e-03 eta: 18:56:34 time: 0.2827 data_time: 0.0179 memory: 8198 grad_norm: 6.1725 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1065 loss: 1.1065 2022/08/03 09:50:51 - mmengine - INFO - Epoch(train) [129][900/1879] lr: 1.0000e-03 eta: 18:56:28 time: 0.2913 data_time: 0.0235 memory: 8198 grad_norm: 6.6166 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0860 loss: 1.0860 2022/08/03 09:50:57 - mmengine - INFO - Epoch(train) [129][920/1879] lr: 1.0000e-03 eta: 18:56:23 time: 0.2941 data_time: 0.0225 memory: 8198 grad_norm: 6.5588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0032 loss: 1.0032 2022/08/03 09:51:02 - mmengine - INFO - Epoch(train) [129][940/1879] lr: 1.0000e-03 eta: 18:56:17 time: 0.2829 data_time: 0.0210 memory: 8198 grad_norm: 6.3425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0434 loss: 1.0434 2022/08/03 09:51:08 - mmengine - INFO - Epoch(train) [129][960/1879] lr: 1.0000e-03 eta: 18:56:11 time: 0.2892 data_time: 0.0298 memory: 8198 grad_norm: 6.6078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/03 09:51:14 - mmengine - INFO - Epoch(train) [129][980/1879] lr: 1.0000e-03 eta: 18:56:06 time: 0.2975 data_time: 0.0234 memory: 8198 grad_norm: 6.5513 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1462 loss: 1.1462 2022/08/03 09:51:20 - mmengine - INFO - Epoch(train) [129][1000/1879] lr: 1.0000e-03 eta: 18:56:00 time: 0.2825 data_time: 0.0232 memory: 8198 grad_norm: 6.4105 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0495 loss: 1.0495 2022/08/03 09:51:25 - mmengine - INFO - Epoch(train) [129][1020/1879] lr: 1.0000e-03 eta: 18:55:54 time: 0.2876 data_time: 0.0204 memory: 8198 grad_norm: 6.3730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2617 loss: 1.2617 2022/08/03 09:51:31 - mmengine - INFO - Epoch(train) [129][1040/1879] lr: 1.0000e-03 eta: 18:55:49 time: 0.2828 data_time: 0.0180 memory: 8198 grad_norm: 6.4727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0999 loss: 1.0999 2022/08/03 09:51:37 - mmengine - INFO - Epoch(train) [129][1060/1879] lr: 1.0000e-03 eta: 18:55:43 time: 0.2892 data_time: 0.0283 memory: 8198 grad_norm: 6.4603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1906 loss: 1.1906 2022/08/03 09:51:43 - mmengine - INFO - Epoch(train) [129][1080/1879] lr: 1.0000e-03 eta: 18:55:37 time: 0.2839 data_time: 0.0238 memory: 8198 grad_norm: 6.6930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1899 loss: 1.1899 2022/08/03 09:51:48 - mmengine - INFO - Epoch(train) [129][1100/1879] lr: 1.0000e-03 eta: 18:55:32 time: 0.2862 data_time: 0.0223 memory: 8198 grad_norm: 6.4387 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9376 loss: 0.9376 2022/08/03 09:51:54 - mmengine - INFO - Epoch(train) [129][1120/1879] lr: 1.0000e-03 eta: 18:55:26 time: 0.2830 data_time: 0.0223 memory: 8198 grad_norm: 6.3874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9791 loss: 0.9791 2022/08/03 09:52:00 - mmengine - INFO - Epoch(train) [129][1140/1879] lr: 1.0000e-03 eta: 18:55:20 time: 0.2846 data_time: 0.0205 memory: 8198 grad_norm: 6.4097 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/08/03 09:52:05 - mmengine - INFO - Epoch(train) [129][1160/1879] lr: 1.0000e-03 eta: 18:55:15 time: 0.2853 data_time: 0.0207 memory: 8198 grad_norm: 6.3571 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1981 loss: 1.1981 2022/08/03 09:52:11 - mmengine - INFO - Epoch(train) [129][1180/1879] lr: 1.0000e-03 eta: 18:55:09 time: 0.2849 data_time: 0.0254 memory: 8198 grad_norm: 6.4426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/08/03 09:52:17 - mmengine - INFO - Epoch(train) [129][1200/1879] lr: 1.0000e-03 eta: 18:55:03 time: 0.2840 data_time: 0.0206 memory: 8198 grad_norm: 6.3753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2762 loss: 1.2762 2022/08/03 09:52:23 - mmengine - INFO - Epoch(train) [129][1220/1879] lr: 1.0000e-03 eta: 18:54:58 time: 0.2837 data_time: 0.0209 memory: 8198 grad_norm: 6.4732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2626 loss: 1.2626 2022/08/03 09:52:28 - mmengine - INFO - Epoch(train) [129][1240/1879] lr: 1.0000e-03 eta: 18:54:52 time: 0.2840 data_time: 0.0194 memory: 8198 grad_norm: 6.3594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1118 loss: 1.1118 2022/08/03 09:52:34 - mmengine - INFO - Epoch(train) [129][1260/1879] lr: 1.0000e-03 eta: 18:54:46 time: 0.2803 data_time: 0.0168 memory: 8198 grad_norm: 6.4944 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2163 loss: 1.2163 2022/08/03 09:52:40 - mmengine - INFO - Epoch(train) [129][1280/1879] lr: 1.0000e-03 eta: 18:54:40 time: 0.2815 data_time: 0.0205 memory: 8198 grad_norm: 6.5853 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/08/03 09:52:45 - mmengine - INFO - Epoch(train) [129][1300/1879] lr: 1.0000e-03 eta: 18:54:35 time: 0.2839 data_time: 0.0248 memory: 8198 grad_norm: 6.4239 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2171 loss: 1.2171 2022/08/03 09:52:51 - mmengine - INFO - Epoch(train) [129][1320/1879] lr: 1.0000e-03 eta: 18:54:29 time: 0.2841 data_time: 0.0266 memory: 8198 grad_norm: 6.6203 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2296 loss: 1.2296 2022/08/03 09:52:57 - mmengine - INFO - Epoch(train) [129][1340/1879] lr: 1.0000e-03 eta: 18:54:23 time: 0.2911 data_time: 0.0250 memory: 8198 grad_norm: 6.4580 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0912 loss: 1.0912 2022/08/03 09:53:02 - mmengine - INFO - Epoch(train) [129][1360/1879] lr: 1.0000e-03 eta: 18:54:18 time: 0.2843 data_time: 0.0233 memory: 8198 grad_norm: 6.3150 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9302 loss: 0.9302 2022/08/03 09:53:08 - mmengine - INFO - Epoch(train) [129][1380/1879] lr: 1.0000e-03 eta: 18:54:12 time: 0.2851 data_time: 0.0286 memory: 8198 grad_norm: 6.2608 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/08/03 09:53:14 - mmengine - INFO - Epoch(train) [129][1400/1879] lr: 1.0000e-03 eta: 18:54:06 time: 0.2858 data_time: 0.0221 memory: 8198 grad_norm: 6.5134 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0687 loss: 1.0687 2022/08/03 09:53:20 - mmengine - INFO - Epoch(train) [129][1420/1879] lr: 1.0000e-03 eta: 18:54:01 time: 0.2840 data_time: 0.0218 memory: 8198 grad_norm: 6.5906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/03 09:53:25 - mmengine - INFO - Epoch(train) [129][1440/1879] lr: 1.0000e-03 eta: 18:53:55 time: 0.2842 data_time: 0.0239 memory: 8198 grad_norm: 6.6389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2387 loss: 1.2387 2022/08/03 09:53:31 - mmengine - INFO - Epoch(train) [129][1460/1879] lr: 1.0000e-03 eta: 18:53:49 time: 0.2859 data_time: 0.0247 memory: 8198 grad_norm: 6.5452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1278 loss: 1.1278 2022/08/03 09:53:37 - mmengine - INFO - Epoch(train) [129][1480/1879] lr: 1.0000e-03 eta: 18:53:43 time: 0.2840 data_time: 0.0203 memory: 8198 grad_norm: 6.4658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1469 loss: 1.1469 2022/08/03 09:53:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:53:43 - mmengine - INFO - Epoch(train) [129][1500/1879] lr: 1.0000e-03 eta: 18:53:38 time: 0.2884 data_time: 0.0227 memory: 8198 grad_norm: 6.2425 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9388 loss: 0.9388 2022/08/03 09:53:48 - mmengine - INFO - Epoch(train) [129][1520/1879] lr: 1.0000e-03 eta: 18:53:32 time: 0.2834 data_time: 0.0252 memory: 8198 grad_norm: 6.4964 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/08/03 09:53:54 - mmengine - INFO - Epoch(train) [129][1540/1879] lr: 1.0000e-03 eta: 18:53:26 time: 0.2862 data_time: 0.0230 memory: 8198 grad_norm: 6.5656 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0365 loss: 1.0365 2022/08/03 09:54:00 - mmengine - INFO - Epoch(train) [129][1560/1879] lr: 1.0000e-03 eta: 18:53:21 time: 0.2867 data_time: 0.0194 memory: 8198 grad_norm: 6.5050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/08/03 09:54:06 - mmengine - INFO - Epoch(train) [129][1580/1879] lr: 1.0000e-03 eta: 18:53:16 time: 0.3039 data_time: 0.0234 memory: 8198 grad_norm: 6.4567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/03 09:54:11 - mmengine - INFO - Epoch(train) [129][1600/1879] lr: 1.0000e-03 eta: 18:53:10 time: 0.2801 data_time: 0.0196 memory: 8198 grad_norm: 6.3391 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9769 loss: 0.9769 2022/08/03 09:54:17 - mmengine - INFO - Epoch(train) [129][1620/1879] lr: 1.0000e-03 eta: 18:53:04 time: 0.2828 data_time: 0.0206 memory: 8198 grad_norm: 6.5086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1530 loss: 1.1530 2022/08/03 09:54:23 - mmengine - INFO - Epoch(train) [129][1640/1879] lr: 1.0000e-03 eta: 18:52:58 time: 0.2802 data_time: 0.0185 memory: 8198 grad_norm: 6.4407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2665 loss: 1.2665 2022/08/03 09:54:29 - mmengine - INFO - Epoch(train) [129][1660/1879] lr: 1.0000e-03 eta: 18:52:53 time: 0.2893 data_time: 0.0290 memory: 8198 grad_norm: 6.4150 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1889 loss: 1.1889 2022/08/03 09:54:34 - mmengine - INFO - Epoch(train) [129][1680/1879] lr: 1.0000e-03 eta: 18:52:47 time: 0.2827 data_time: 0.0162 memory: 8198 grad_norm: 6.6410 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9743 loss: 0.9743 2022/08/03 09:54:40 - mmengine - INFO - Epoch(train) [129][1700/1879] lr: 1.0000e-03 eta: 18:52:41 time: 0.2857 data_time: 0.0247 memory: 8198 grad_norm: 6.5681 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0115 loss: 1.0115 2022/08/03 09:54:46 - mmengine - INFO - Epoch(train) [129][1720/1879] lr: 1.0000e-03 eta: 18:52:36 time: 0.2881 data_time: 0.0236 memory: 8198 grad_norm: 6.4389 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1021 loss: 1.1021 2022/08/03 09:54:51 - mmengine - INFO - Epoch(train) [129][1740/1879] lr: 1.0000e-03 eta: 18:52:30 time: 0.2831 data_time: 0.0239 memory: 8198 grad_norm: 6.3788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9940 loss: 0.9940 2022/08/03 09:54:57 - mmengine - INFO - Epoch(train) [129][1760/1879] lr: 1.0000e-03 eta: 18:52:24 time: 0.2831 data_time: 0.0187 memory: 8198 grad_norm: 6.5326 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1901 loss: 1.1901 2022/08/03 09:55:03 - mmengine - INFO - Epoch(train) [129][1780/1879] lr: 1.0000e-03 eta: 18:52:19 time: 0.2863 data_time: 0.0224 memory: 8198 grad_norm: 6.5038 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1364 loss: 1.1364 2022/08/03 09:55:09 - mmengine - INFO - Epoch(train) [129][1800/1879] lr: 1.0000e-03 eta: 18:52:13 time: 0.2963 data_time: 0.0251 memory: 8198 grad_norm: 6.5117 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0843 loss: 1.0843 2022/08/03 09:55:14 - mmengine - INFO - Epoch(train) [129][1820/1879] lr: 1.0000e-03 eta: 18:52:07 time: 0.2809 data_time: 0.0195 memory: 8198 grad_norm: 6.4986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/08/03 09:55:20 - mmengine - INFO - Epoch(train) [129][1840/1879] lr: 1.0000e-03 eta: 18:52:02 time: 0.2796 data_time: 0.0217 memory: 8198 grad_norm: 6.7337 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0567 loss: 1.0567 2022/08/03 09:55:26 - mmengine - INFO - Epoch(train) [129][1860/1879] lr: 1.0000e-03 eta: 18:51:56 time: 0.2989 data_time: 0.0247 memory: 8198 grad_norm: 6.5963 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/08/03 09:55:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:55:31 - mmengine - INFO - Epoch(train) [129][1879/1879] lr: 1.0000e-03 eta: 18:51:56 time: 0.2569 data_time: 0.0157 memory: 8198 grad_norm: 6.9507 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.2083 loss: 1.2083 2022/08/03 09:55:39 - mmengine - INFO - Epoch(train) [130][20/1879] lr: 1.0000e-03 eta: 18:51:42 time: 0.4101 data_time: 0.1426 memory: 8198 grad_norm: 6.2109 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1021 loss: 1.1021 2022/08/03 09:55:45 - mmengine - INFO - Epoch(train) [130][40/1879] lr: 1.0000e-03 eta: 18:51:36 time: 0.2852 data_time: 0.0174 memory: 8198 grad_norm: 6.5578 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2603 loss: 1.2603 2022/08/03 09:55:51 - mmengine - INFO - Epoch(train) [130][60/1879] lr: 1.0000e-03 eta: 18:51:31 time: 0.2915 data_time: 0.0223 memory: 8198 grad_norm: 6.5675 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0910 loss: 1.0910 2022/08/03 09:55:57 - mmengine - INFO - Epoch(train) [130][80/1879] lr: 1.0000e-03 eta: 18:51:25 time: 0.2862 data_time: 0.0220 memory: 8198 grad_norm: 6.3459 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9371 loss: 0.9371 2022/08/03 09:56:02 - mmengine - INFO - Epoch(train) [130][100/1879] lr: 1.0000e-03 eta: 18:51:20 time: 0.2890 data_time: 0.0240 memory: 8198 grad_norm: 6.4212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0169 loss: 1.0169 2022/08/03 09:56:08 - mmengine - INFO - Epoch(train) [130][120/1879] lr: 1.0000e-03 eta: 18:51:14 time: 0.2842 data_time: 0.0226 memory: 8198 grad_norm: 6.3150 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9882 loss: 0.9882 2022/08/03 09:56:14 - mmengine - INFO - Epoch(train) [130][140/1879] lr: 1.0000e-03 eta: 18:51:08 time: 0.2874 data_time: 0.0249 memory: 8198 grad_norm: 6.3568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1494 loss: 1.1494 2022/08/03 09:56:19 - mmengine - INFO - Epoch(train) [130][160/1879] lr: 1.0000e-03 eta: 18:51:03 time: 0.2836 data_time: 0.0275 memory: 8198 grad_norm: 6.3881 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0466 loss: 1.0466 2022/08/03 09:56:25 - mmengine - INFO - Epoch(train) [130][180/1879] lr: 1.0000e-03 eta: 18:50:57 time: 0.2841 data_time: 0.0254 memory: 8198 grad_norm: 6.6138 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/08/03 09:56:31 - mmengine - INFO - Epoch(train) [130][200/1879] lr: 1.0000e-03 eta: 18:50:51 time: 0.2823 data_time: 0.0220 memory: 8198 grad_norm: 6.5409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/08/03 09:56:37 - mmengine - INFO - Epoch(train) [130][220/1879] lr: 1.0000e-03 eta: 18:50:46 time: 0.2878 data_time: 0.0223 memory: 8198 grad_norm: 6.4397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9178 loss: 0.9178 2022/08/03 09:56:42 - mmengine - INFO - Epoch(train) [130][240/1879] lr: 1.0000e-03 eta: 18:50:40 time: 0.2845 data_time: 0.0244 memory: 8198 grad_norm: 6.3163 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1191 loss: 1.1191 2022/08/03 09:56:48 - mmengine - INFO - Epoch(train) [130][260/1879] lr: 1.0000e-03 eta: 18:50:34 time: 0.2876 data_time: 0.0248 memory: 8198 grad_norm: 6.5155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2031 loss: 1.2031 2022/08/03 09:56:54 - mmengine - INFO - Epoch(train) [130][280/1879] lr: 1.0000e-03 eta: 18:50:29 time: 0.2841 data_time: 0.0226 memory: 8198 grad_norm: 6.4838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1364 loss: 1.1364 2022/08/03 09:57:00 - mmengine - INFO - Epoch(train) [130][300/1879] lr: 1.0000e-03 eta: 18:50:23 time: 0.2849 data_time: 0.0242 memory: 8198 grad_norm: 6.5919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1078 loss: 1.1078 2022/08/03 09:57:05 - mmengine - INFO - Epoch(train) [130][320/1879] lr: 1.0000e-03 eta: 18:50:17 time: 0.2876 data_time: 0.0197 memory: 8198 grad_norm: 6.7599 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0681 loss: 1.0681 2022/08/03 09:57:11 - mmengine - INFO - Epoch(train) [130][340/1879] lr: 1.0000e-03 eta: 18:50:12 time: 0.2882 data_time: 0.0264 memory: 8198 grad_norm: 6.3230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8192 loss: 0.8192 2022/08/03 09:57:17 - mmengine - INFO - Epoch(train) [130][360/1879] lr: 1.0000e-03 eta: 18:50:06 time: 0.2836 data_time: 0.0208 memory: 8198 grad_norm: 6.4814 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1778 loss: 1.1778 2022/08/03 09:57:22 - mmengine - INFO - Epoch(train) [130][380/1879] lr: 1.0000e-03 eta: 18:50:00 time: 0.2853 data_time: 0.0200 memory: 8198 grad_norm: 6.5666 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/08/03 09:57:28 - mmengine - INFO - Epoch(train) [130][400/1879] lr: 1.0000e-03 eta: 18:49:55 time: 0.2851 data_time: 0.0215 memory: 8198 grad_norm: 6.5628 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2216 loss: 1.2216 2022/08/03 09:57:34 - mmengine - INFO - Epoch(train) [130][420/1879] lr: 1.0000e-03 eta: 18:49:49 time: 0.2839 data_time: 0.0233 memory: 8198 grad_norm: 6.4920 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0522 loss: 1.0522 2022/08/03 09:57:40 - mmengine - INFO - Epoch(train) [130][440/1879] lr: 1.0000e-03 eta: 18:49:43 time: 0.2824 data_time: 0.0200 memory: 8198 grad_norm: 6.4112 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0738 loss: 1.0738 2022/08/03 09:57:45 - mmengine - INFO - Epoch(train) [130][460/1879] lr: 1.0000e-03 eta: 18:49:37 time: 0.2853 data_time: 0.0234 memory: 8198 grad_norm: 6.5247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1451 loss: 1.1451 2022/08/03 09:57:51 - mmengine - INFO - Epoch(train) [130][480/1879] lr: 1.0000e-03 eta: 18:49:32 time: 0.2903 data_time: 0.0256 memory: 8198 grad_norm: 6.3465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1503 loss: 1.1503 2022/08/03 09:57:57 - mmengine - INFO - Epoch(train) [130][500/1879] lr: 1.0000e-03 eta: 18:49:26 time: 0.2844 data_time: 0.0259 memory: 8198 grad_norm: 6.3955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/08/03 09:58:03 - mmengine - INFO - Epoch(train) [130][520/1879] lr: 1.0000e-03 eta: 18:49:20 time: 0.2841 data_time: 0.0252 memory: 8198 grad_norm: 6.3986 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0898 loss: 1.0898 2022/08/03 09:58:08 - mmengine - INFO - Epoch(train) [130][540/1879] lr: 1.0000e-03 eta: 18:49:15 time: 0.2830 data_time: 0.0204 memory: 8198 grad_norm: 6.4694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1132 loss: 1.1132 2022/08/03 09:58:14 - mmengine - INFO - Epoch(train) [130][560/1879] lr: 1.0000e-03 eta: 18:49:09 time: 0.2832 data_time: 0.0231 memory: 8198 grad_norm: 6.3891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1257 loss: 1.1257 2022/08/03 09:58:20 - mmengine - INFO - Epoch(train) [130][580/1879] lr: 1.0000e-03 eta: 18:49:03 time: 0.2893 data_time: 0.0226 memory: 8198 grad_norm: 6.5026 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1548 loss: 1.1548 2022/08/03 09:58:26 - mmengine - INFO - Epoch(train) [130][600/1879] lr: 1.0000e-03 eta: 18:48:58 time: 0.2888 data_time: 0.0214 memory: 8198 grad_norm: 6.4020 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1672 loss: 1.1672 2022/08/03 09:58:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 09:58:31 - mmengine - INFO - Epoch(train) [130][620/1879] lr: 1.0000e-03 eta: 18:48:52 time: 0.2870 data_time: 0.0258 memory: 8198 grad_norm: 6.5331 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0973 loss: 1.0973 2022/08/03 09:58:37 - mmengine - INFO - Epoch(train) [130][640/1879] lr: 1.0000e-03 eta: 18:48:46 time: 0.2831 data_time: 0.0204 memory: 8198 grad_norm: 6.4034 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9152 loss: 0.9152 2022/08/03 09:58:43 - mmengine - INFO - Epoch(train) [130][660/1879] lr: 1.0000e-03 eta: 18:48:41 time: 0.2859 data_time: 0.0281 memory: 8198 grad_norm: 6.3315 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0291 loss: 1.0291 2022/08/03 09:58:48 - mmengine - INFO - Epoch(train) [130][680/1879] lr: 1.0000e-03 eta: 18:48:35 time: 0.2870 data_time: 0.0222 memory: 8198 grad_norm: 6.5015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0618 loss: 1.0618 2022/08/03 09:58:54 - mmengine - INFO - Epoch(train) [130][700/1879] lr: 1.0000e-03 eta: 18:48:29 time: 0.2834 data_time: 0.0230 memory: 8198 grad_norm: 6.4583 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0561 loss: 1.0561 2022/08/03 09:59:00 - mmengine - INFO - Epoch(train) [130][720/1879] lr: 1.0000e-03 eta: 18:48:24 time: 0.2850 data_time: 0.0212 memory: 8198 grad_norm: 6.4055 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9952 loss: 0.9952 2022/08/03 09:59:06 - mmengine - INFO - Epoch(train) [130][740/1879] lr: 1.0000e-03 eta: 18:48:18 time: 0.2857 data_time: 0.0259 memory: 8198 grad_norm: 6.3217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/08/03 09:59:11 - mmengine - INFO - Epoch(train) [130][760/1879] lr: 1.0000e-03 eta: 18:48:12 time: 0.2861 data_time: 0.0175 memory: 8198 grad_norm: 6.5754 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/08/03 09:59:17 - mmengine - INFO - Epoch(train) [130][780/1879] lr: 1.0000e-03 eta: 18:48:07 time: 0.2875 data_time: 0.0260 memory: 8198 grad_norm: 6.5057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1392 loss: 1.1392 2022/08/03 09:59:23 - mmengine - INFO - Epoch(train) [130][800/1879] lr: 1.0000e-03 eta: 18:48:01 time: 0.2999 data_time: 0.0239 memory: 8198 grad_norm: 6.5514 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1483 loss: 1.1483 2022/08/03 09:59:29 - mmengine - INFO - Epoch(train) [130][820/1879] lr: 1.0000e-03 eta: 18:47:56 time: 0.2842 data_time: 0.0216 memory: 8198 grad_norm: 6.3655 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9315 loss: 0.9315 2022/08/03 09:59:35 - mmengine - INFO - Epoch(train) [130][840/1879] lr: 1.0000e-03 eta: 18:47:50 time: 0.2893 data_time: 0.0266 memory: 8198 grad_norm: 6.4455 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1010 loss: 1.1010 2022/08/03 09:59:41 - mmengine - INFO - Epoch(train) [130][860/1879] lr: 1.0000e-03 eta: 18:47:45 time: 0.2936 data_time: 0.0213 memory: 8198 grad_norm: 6.4508 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9255 loss: 0.9255 2022/08/03 09:59:46 - mmengine - INFO - Epoch(train) [130][880/1879] lr: 1.0000e-03 eta: 18:47:39 time: 0.2829 data_time: 0.0234 memory: 8198 grad_norm: 6.2955 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9922 loss: 0.9922 2022/08/03 09:59:52 - mmengine - INFO - Epoch(train) [130][900/1879] lr: 1.0000e-03 eta: 18:47:33 time: 0.2826 data_time: 0.0222 memory: 8198 grad_norm: 6.6900 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0490 loss: 1.0490 2022/08/03 09:59:58 - mmengine - INFO - Epoch(train) [130][920/1879] lr: 1.0000e-03 eta: 18:47:27 time: 0.2852 data_time: 0.0243 memory: 8198 grad_norm: 6.6093 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3422 loss: 1.3422 2022/08/03 10:00:03 - mmengine - INFO - Epoch(train) [130][940/1879] lr: 1.0000e-03 eta: 18:47:22 time: 0.2844 data_time: 0.0222 memory: 8198 grad_norm: 6.5620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0352 loss: 1.0352 2022/08/03 10:00:09 - mmengine - INFO - Epoch(train) [130][960/1879] lr: 1.0000e-03 eta: 18:47:16 time: 0.2853 data_time: 0.0229 memory: 8198 grad_norm: 6.4441 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1749 loss: 1.1749 2022/08/03 10:00:15 - mmengine - INFO - Epoch(train) [130][980/1879] lr: 1.0000e-03 eta: 18:47:10 time: 0.2819 data_time: 0.0188 memory: 8198 grad_norm: 6.3456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2014 loss: 1.2014 2022/08/03 10:00:20 - mmengine - INFO - Epoch(train) [130][1000/1879] lr: 1.0000e-03 eta: 18:47:05 time: 0.2875 data_time: 0.0195 memory: 8198 grad_norm: 6.5817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1603 loss: 1.1603 2022/08/03 10:00:26 - mmengine - INFO - Epoch(train) [130][1020/1879] lr: 1.0000e-03 eta: 18:46:59 time: 0.2873 data_time: 0.0260 memory: 8198 grad_norm: 6.5723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1097 loss: 1.1097 2022/08/03 10:00:32 - mmengine - INFO - Epoch(train) [130][1040/1879] lr: 1.0000e-03 eta: 18:46:53 time: 0.2853 data_time: 0.0195 memory: 8198 grad_norm: 6.4187 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1463 loss: 1.1463 2022/08/03 10:00:38 - mmengine - INFO - Epoch(train) [130][1060/1879] lr: 1.0000e-03 eta: 18:46:48 time: 0.2867 data_time: 0.0240 memory: 8198 grad_norm: 6.2503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0375 loss: 1.0375 2022/08/03 10:00:43 - mmengine - INFO - Epoch(train) [130][1080/1879] lr: 1.0000e-03 eta: 18:46:42 time: 0.2812 data_time: 0.0207 memory: 8198 grad_norm: 6.5423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0129 loss: 1.0129 2022/08/03 10:00:49 - mmengine - INFO - Epoch(train) [130][1100/1879] lr: 1.0000e-03 eta: 18:46:36 time: 0.2805 data_time: 0.0199 memory: 8198 grad_norm: 6.5594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1594 loss: 1.1594 2022/08/03 10:00:55 - mmengine - INFO - Epoch(train) [130][1120/1879] lr: 1.0000e-03 eta: 18:46:30 time: 0.2824 data_time: 0.0241 memory: 8198 grad_norm: 6.3223 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1131 loss: 1.1131 2022/08/03 10:01:00 - mmengine - INFO - Epoch(train) [130][1140/1879] lr: 1.0000e-03 eta: 18:46:25 time: 0.2907 data_time: 0.0252 memory: 8198 grad_norm: 6.5137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2225 loss: 1.2225 2022/08/03 10:01:06 - mmengine - INFO - Epoch(train) [130][1160/1879] lr: 1.0000e-03 eta: 18:46:19 time: 0.2967 data_time: 0.0234 memory: 8198 grad_norm: 6.4085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0249 loss: 1.0249 2022/08/03 10:01:12 - mmengine - INFO - Epoch(train) [130][1180/1879] lr: 1.0000e-03 eta: 18:46:14 time: 0.2800 data_time: 0.0213 memory: 8198 grad_norm: 6.4624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/08/03 10:01:18 - mmengine - INFO - Epoch(train) [130][1200/1879] lr: 1.0000e-03 eta: 18:46:08 time: 0.2835 data_time: 0.0251 memory: 8198 grad_norm: 6.3830 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8561 loss: 0.8561 2022/08/03 10:01:23 - mmengine - INFO - Epoch(train) [130][1220/1879] lr: 1.0000e-03 eta: 18:46:02 time: 0.2841 data_time: 0.0241 memory: 8198 grad_norm: 6.3167 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0815 loss: 1.0815 2022/08/03 10:01:29 - mmengine - INFO - Epoch(train) [130][1240/1879] lr: 1.0000e-03 eta: 18:45:56 time: 0.2835 data_time: 0.0169 memory: 8198 grad_norm: 6.5599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2030 loss: 1.2030 2022/08/03 10:01:35 - mmengine - INFO - Epoch(train) [130][1260/1879] lr: 1.0000e-03 eta: 18:45:51 time: 0.2882 data_time: 0.0294 memory: 8198 grad_norm: 6.4564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/08/03 10:01:41 - mmengine - INFO - Epoch(train) [130][1280/1879] lr: 1.0000e-03 eta: 18:45:45 time: 0.2836 data_time: 0.0207 memory: 8198 grad_norm: 6.5344 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1014 loss: 1.1014 2022/08/03 10:01:46 - mmengine - INFO - Epoch(train) [130][1300/1879] lr: 1.0000e-03 eta: 18:45:39 time: 0.2864 data_time: 0.0216 memory: 8198 grad_norm: 6.5188 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9736 loss: 0.9736 2022/08/03 10:01:52 - mmengine - INFO - Epoch(train) [130][1320/1879] lr: 1.0000e-03 eta: 18:45:34 time: 0.2813 data_time: 0.0248 memory: 8198 grad_norm: 6.5153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1360 loss: 1.1360 2022/08/03 10:01:58 - mmengine - INFO - Epoch(train) [130][1340/1879] lr: 1.0000e-03 eta: 18:45:28 time: 0.2846 data_time: 0.0231 memory: 8198 grad_norm: 6.3123 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1544 loss: 1.1544 2022/08/03 10:02:03 - mmengine - INFO - Epoch(train) [130][1360/1879] lr: 1.0000e-03 eta: 18:45:22 time: 0.2816 data_time: 0.0207 memory: 8198 grad_norm: 6.6836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1159 loss: 1.1159 2022/08/03 10:02:09 - mmengine - INFO - Epoch(train) [130][1380/1879] lr: 1.0000e-03 eta: 18:45:17 time: 0.2882 data_time: 0.0242 memory: 8198 grad_norm: 6.4145 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1224 loss: 1.1224 2022/08/03 10:02:15 - mmengine - INFO - Epoch(train) [130][1400/1879] lr: 1.0000e-03 eta: 18:45:11 time: 0.2812 data_time: 0.0214 memory: 8198 grad_norm: 6.3883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/08/03 10:02:20 - mmengine - INFO - Epoch(train) [130][1420/1879] lr: 1.0000e-03 eta: 18:45:05 time: 0.2834 data_time: 0.0243 memory: 8198 grad_norm: 6.5477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/08/03 10:02:26 - mmengine - INFO - Epoch(train) [130][1440/1879] lr: 1.0000e-03 eta: 18:44:59 time: 0.2827 data_time: 0.0229 memory: 8198 grad_norm: 6.5186 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1351 loss: 1.1351 2022/08/03 10:02:32 - mmengine - INFO - Epoch(train) [130][1460/1879] lr: 1.0000e-03 eta: 18:44:54 time: 0.2864 data_time: 0.0268 memory: 8198 grad_norm: 6.4828 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0932 loss: 1.0932 2022/08/03 10:02:38 - mmengine - INFO - Epoch(train) [130][1480/1879] lr: 1.0000e-03 eta: 18:44:48 time: 0.2830 data_time: 0.0213 memory: 8198 grad_norm: 6.6562 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9210 loss: 0.9210 2022/08/03 10:02:43 - mmengine - INFO - Epoch(train) [130][1500/1879] lr: 1.0000e-03 eta: 18:44:42 time: 0.2848 data_time: 0.0222 memory: 8198 grad_norm: 6.6055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2107 loss: 1.2107 2022/08/03 10:02:49 - mmengine - INFO - Epoch(train) [130][1520/1879] lr: 1.0000e-03 eta: 18:44:37 time: 0.2839 data_time: 0.0230 memory: 8198 grad_norm: 6.5142 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1226 loss: 1.1226 2022/08/03 10:02:55 - mmengine - INFO - Epoch(train) [130][1540/1879] lr: 1.0000e-03 eta: 18:44:31 time: 0.2829 data_time: 0.0244 memory: 8198 grad_norm: 6.7644 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0967 loss: 1.0967 2022/08/03 10:03:01 - mmengine - INFO - Epoch(train) [130][1560/1879] lr: 1.0000e-03 eta: 18:44:26 time: 0.2957 data_time: 0.0186 memory: 8198 grad_norm: 6.4703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/08/03 10:03:07 - mmengine - INFO - Epoch(train) [130][1580/1879] lr: 1.0000e-03 eta: 18:44:20 time: 0.2920 data_time: 0.0284 memory: 8198 grad_norm: 6.1210 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/08/03 10:03:12 - mmengine - INFO - Epoch(train) [130][1600/1879] lr: 1.0000e-03 eta: 18:44:14 time: 0.2869 data_time: 0.0249 memory: 8198 grad_norm: 6.3720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9907 loss: 0.9907 2022/08/03 10:03:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:03:18 - mmengine - INFO - Epoch(train) [130][1620/1879] lr: 1.0000e-03 eta: 18:44:09 time: 0.2882 data_time: 0.0260 memory: 8198 grad_norm: 6.6068 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1114 loss: 1.1114 2022/08/03 10:03:24 - mmengine - INFO - Epoch(train) [130][1640/1879] lr: 1.0000e-03 eta: 18:44:03 time: 0.2805 data_time: 0.0184 memory: 8198 grad_norm: 6.6183 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0491 loss: 1.0491 2022/08/03 10:03:29 - mmengine - INFO - Epoch(train) [130][1660/1879] lr: 1.0000e-03 eta: 18:43:57 time: 0.2863 data_time: 0.0238 memory: 8198 grad_norm: 6.4607 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0408 loss: 1.0408 2022/08/03 10:03:35 - mmengine - INFO - Epoch(train) [130][1680/1879] lr: 1.0000e-03 eta: 18:43:52 time: 0.2839 data_time: 0.0227 memory: 8198 grad_norm: 6.4330 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0978 loss: 1.0978 2022/08/03 10:03:41 - mmengine - INFO - Epoch(train) [130][1700/1879] lr: 1.0000e-03 eta: 18:43:46 time: 0.2860 data_time: 0.0213 memory: 8198 grad_norm: 6.5838 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1193 loss: 1.1193 2022/08/03 10:03:46 - mmengine - INFO - Epoch(train) [130][1720/1879] lr: 1.0000e-03 eta: 18:43:40 time: 0.2832 data_time: 0.0188 memory: 8198 grad_norm: 6.4486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1599 loss: 1.1599 2022/08/03 10:03:52 - mmengine - INFO - Epoch(train) [130][1740/1879] lr: 1.0000e-03 eta: 18:43:34 time: 0.2837 data_time: 0.0209 memory: 8198 grad_norm: 6.4575 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2589 loss: 1.2589 2022/08/03 10:03:58 - mmengine - INFO - Epoch(train) [130][1760/1879] lr: 1.0000e-03 eta: 18:43:29 time: 0.2839 data_time: 0.0206 memory: 8198 grad_norm: 6.5329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9506 loss: 0.9506 2022/08/03 10:04:04 - mmengine - INFO - Epoch(train) [130][1780/1879] lr: 1.0000e-03 eta: 18:43:23 time: 0.2841 data_time: 0.0217 memory: 8198 grad_norm: 6.5762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0749 loss: 1.0749 2022/08/03 10:04:09 - mmengine - INFO - Epoch(train) [130][1800/1879] lr: 1.0000e-03 eta: 18:43:17 time: 0.2870 data_time: 0.0199 memory: 8198 grad_norm: 6.3758 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1728 loss: 1.1728 2022/08/03 10:04:15 - mmengine - INFO - Epoch(train) [130][1820/1879] lr: 1.0000e-03 eta: 18:43:12 time: 0.2845 data_time: 0.0233 memory: 8198 grad_norm: 6.4637 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2343 loss: 1.2343 2022/08/03 10:04:21 - mmengine - INFO - Epoch(train) [130][1840/1879] lr: 1.0000e-03 eta: 18:43:06 time: 0.2915 data_time: 0.0202 memory: 8198 grad_norm: 6.6384 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1679 loss: 1.1679 2022/08/03 10:04:27 - mmengine - INFO - Epoch(train) [130][1860/1879] lr: 1.0000e-03 eta: 18:43:01 time: 0.2909 data_time: 0.0233 memory: 8198 grad_norm: 6.5762 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0325 loss: 1.0325 2022/08/03 10:04:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:04:32 - mmengine - INFO - Epoch(train) [130][1879/1879] lr: 1.0000e-03 eta: 18:43:01 time: 0.2638 data_time: 0.0139 memory: 8198 grad_norm: 6.6941 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/08/03 10:04:38 - mmengine - INFO - Epoch(val) [130][20/155] eta: 0:00:43 time: 0.3231 data_time: 0.2344 memory: 1514 2022/08/03 10:04:43 - mmengine - INFO - Epoch(val) [130][40/155] eta: 0:00:25 time: 0.2215 data_time: 0.1304 memory: 1514 2022/08/03 10:04:49 - mmengine - INFO - Epoch(val) [130][60/155] eta: 0:00:29 time: 0.3124 data_time: 0.2225 memory: 1514 2022/08/03 10:04:53 - mmengine - INFO - Epoch(val) [130][80/155] eta: 0:00:17 time: 0.2318 data_time: 0.1426 memory: 1514 2022/08/03 10:05:00 - mmengine - INFO - Epoch(val) [130][100/155] eta: 0:00:17 time: 0.3102 data_time: 0.2140 memory: 1514 2022/08/03 10:05:04 - mmengine - INFO - Epoch(val) [130][120/155] eta: 0:00:08 time: 0.2305 data_time: 0.1444 memory: 1514 2022/08/03 10:05:10 - mmengine - INFO - Epoch(val) [130][140/155] eta: 0:00:04 time: 0.2960 data_time: 0.2079 memory: 1514 2022/08/03 10:05:15 - mmengine - INFO - Epoch(val) [130][155/155] acc/top1: 0.6757 acc/top5: 0.8682 acc/mean1: 0.6756 2022/08/03 10:05:23 - mmengine - INFO - Epoch(train) [131][20/1879] lr: 1.0000e-03 eta: 18:42:46 time: 0.3990 data_time: 0.1214 memory: 8198 grad_norm: 6.5442 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0420 loss: 1.0420 2022/08/03 10:05:29 - mmengine - INFO - Epoch(train) [131][40/1879] lr: 1.0000e-03 eta: 18:42:41 time: 0.2966 data_time: 0.0289 memory: 8198 grad_norm: 6.5609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/08/03 10:05:35 - mmengine - INFO - Epoch(train) [131][60/1879] lr: 1.0000e-03 eta: 18:42:35 time: 0.2910 data_time: 0.0234 memory: 8198 grad_norm: 6.7107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2023 loss: 1.2023 2022/08/03 10:05:41 - mmengine - INFO - Epoch(train) [131][80/1879] lr: 1.0000e-03 eta: 18:42:30 time: 0.2886 data_time: 0.0223 memory: 8198 grad_norm: 6.5613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/08/03 10:05:46 - mmengine - INFO - Epoch(train) [131][100/1879] lr: 1.0000e-03 eta: 18:42:24 time: 0.2843 data_time: 0.0223 memory: 8198 grad_norm: 6.5880 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0573 loss: 1.0573 2022/08/03 10:05:52 - mmengine - INFO - Epoch(train) [131][120/1879] lr: 1.0000e-03 eta: 18:42:18 time: 0.2869 data_time: 0.0239 memory: 8198 grad_norm: 6.2982 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1395 loss: 1.1395 2022/08/03 10:05:58 - mmengine - INFO - Epoch(train) [131][140/1879] lr: 1.0000e-03 eta: 18:42:13 time: 0.2862 data_time: 0.0243 memory: 8198 grad_norm: 6.5317 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1892 loss: 1.1892 2022/08/03 10:06:04 - mmengine - INFO - Epoch(train) [131][160/1879] lr: 1.0000e-03 eta: 18:42:07 time: 0.2846 data_time: 0.0214 memory: 8198 grad_norm: 6.6753 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1443 loss: 1.1443 2022/08/03 10:06:09 - mmengine - INFO - Epoch(train) [131][180/1879] lr: 1.0000e-03 eta: 18:42:01 time: 0.2856 data_time: 0.0260 memory: 8198 grad_norm: 6.4780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/08/03 10:06:15 - mmengine - INFO - Epoch(train) [131][200/1879] lr: 1.0000e-03 eta: 18:41:56 time: 0.2827 data_time: 0.0211 memory: 8198 grad_norm: 6.7202 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2035 loss: 1.2035 2022/08/03 10:06:21 - mmengine - INFO - Epoch(train) [131][220/1879] lr: 1.0000e-03 eta: 18:41:50 time: 0.2835 data_time: 0.0218 memory: 8198 grad_norm: 6.5222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/08/03 10:06:26 - mmengine - INFO - Epoch(train) [131][240/1879] lr: 1.0000e-03 eta: 18:41:44 time: 0.2858 data_time: 0.0194 memory: 8198 grad_norm: 6.3854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9198 loss: 0.9198 2022/08/03 10:06:32 - mmengine - INFO - Epoch(train) [131][260/1879] lr: 1.0000e-03 eta: 18:41:39 time: 0.2837 data_time: 0.0230 memory: 8198 grad_norm: 6.5257 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0704 loss: 1.0704 2022/08/03 10:06:38 - mmengine - INFO - Epoch(train) [131][280/1879] lr: 1.0000e-03 eta: 18:41:33 time: 0.2862 data_time: 0.0263 memory: 8198 grad_norm: 6.5912 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1640 loss: 1.1640 2022/08/03 10:06:44 - mmengine - INFO - Epoch(train) [131][300/1879] lr: 1.0000e-03 eta: 18:41:27 time: 0.2833 data_time: 0.0221 memory: 8198 grad_norm: 6.3556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/08/03 10:06:50 - mmengine - INFO - Epoch(train) [131][320/1879] lr: 1.0000e-03 eta: 18:41:22 time: 0.3020 data_time: 0.0284 memory: 8198 grad_norm: 6.2212 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0489 loss: 1.0489 2022/08/03 10:06:55 - mmengine - INFO - Epoch(train) [131][340/1879] lr: 1.0000e-03 eta: 18:41:16 time: 0.2834 data_time: 0.0222 memory: 8198 grad_norm: 6.7652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1472 loss: 1.1472 2022/08/03 10:07:01 - mmengine - INFO - Epoch(train) [131][360/1879] lr: 1.0000e-03 eta: 18:41:10 time: 0.2836 data_time: 0.0219 memory: 8198 grad_norm: 6.3290 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/08/03 10:07:07 - mmengine - INFO - Epoch(train) [131][380/1879] lr: 1.0000e-03 eta: 18:41:05 time: 0.2891 data_time: 0.0188 memory: 8198 grad_norm: 6.4900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0527 loss: 1.0527 2022/08/03 10:07:13 - mmengine - INFO - Epoch(train) [131][400/1879] lr: 1.0000e-03 eta: 18:40:59 time: 0.2831 data_time: 0.0301 memory: 8198 grad_norm: 6.4554 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1180 loss: 1.1180 2022/08/03 10:07:18 - mmengine - INFO - Epoch(train) [131][420/1879] lr: 1.0000e-03 eta: 18:40:53 time: 0.2814 data_time: 0.0272 memory: 8198 grad_norm: 6.5217 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0296 loss: 1.0296 2022/08/03 10:07:24 - mmengine - INFO - Epoch(train) [131][440/1879] lr: 1.0000e-03 eta: 18:40:48 time: 0.2845 data_time: 0.0207 memory: 8198 grad_norm: 6.3983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0884 loss: 1.0884 2022/08/03 10:07:30 - mmengine - INFO - Epoch(train) [131][460/1879] lr: 1.0000e-03 eta: 18:40:42 time: 0.2876 data_time: 0.0257 memory: 8198 grad_norm: 6.5858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0128 loss: 1.0128 2022/08/03 10:07:35 - mmengine - INFO - Epoch(train) [131][480/1879] lr: 1.0000e-03 eta: 18:40:36 time: 0.2861 data_time: 0.0213 memory: 8198 grad_norm: 6.4714 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1044 loss: 1.1044 2022/08/03 10:07:41 - mmengine - INFO - Epoch(train) [131][500/1879] lr: 1.0000e-03 eta: 18:40:31 time: 0.2870 data_time: 0.0231 memory: 8198 grad_norm: 6.7170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0043 loss: 1.0043 2022/08/03 10:07:47 - mmengine - INFO - Epoch(train) [131][520/1879] lr: 1.0000e-03 eta: 18:40:25 time: 0.2935 data_time: 0.0191 memory: 8198 grad_norm: 7.0185 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0648 loss: 1.0648 2022/08/03 10:07:53 - mmengine - INFO - Epoch(train) [131][540/1879] lr: 1.0000e-03 eta: 18:40:19 time: 0.2796 data_time: 0.0191 memory: 8198 grad_norm: 6.4117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8748 loss: 0.8748 2022/08/03 10:07:58 - mmengine - INFO - Epoch(train) [131][560/1879] lr: 1.0000e-03 eta: 18:40:14 time: 0.2856 data_time: 0.0224 memory: 8198 grad_norm: 6.4661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1589 loss: 1.1589 2022/08/03 10:08:04 - mmengine - INFO - Epoch(train) [131][580/1879] lr: 1.0000e-03 eta: 18:40:08 time: 0.2907 data_time: 0.0254 memory: 8198 grad_norm: 6.5007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/08/03 10:08:10 - mmengine - INFO - Epoch(train) [131][600/1879] lr: 1.0000e-03 eta: 18:40:03 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 6.7957 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1991 loss: 1.1991 2022/08/03 10:08:16 - mmengine - INFO - Epoch(train) [131][620/1879] lr: 1.0000e-03 eta: 18:39:57 time: 0.2865 data_time: 0.0247 memory: 8198 grad_norm: 6.5331 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1259 loss: 1.1259 2022/08/03 10:08:21 - mmengine - INFO - Epoch(train) [131][640/1879] lr: 1.0000e-03 eta: 18:39:51 time: 0.2874 data_time: 0.0224 memory: 8198 grad_norm: 6.6823 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0703 loss: 1.0703 2022/08/03 10:08:27 - mmengine - INFO - Epoch(train) [131][660/1879] lr: 1.0000e-03 eta: 18:39:45 time: 0.2826 data_time: 0.0197 memory: 8198 grad_norm: 6.4165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/08/03 10:08:33 - mmengine - INFO - Epoch(train) [131][680/1879] lr: 1.0000e-03 eta: 18:39:40 time: 0.2836 data_time: 0.0232 memory: 8198 grad_norm: 6.5972 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/08/03 10:08:39 - mmengine - INFO - Epoch(train) [131][700/1879] lr: 1.0000e-03 eta: 18:39:34 time: 0.2873 data_time: 0.0247 memory: 8198 grad_norm: 6.6320 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1118 loss: 1.1118 2022/08/03 10:08:44 - mmengine - INFO - Epoch(train) [131][720/1879] lr: 1.0000e-03 eta: 18:39:29 time: 0.2945 data_time: 0.0215 memory: 8198 grad_norm: 6.5820 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0592 loss: 1.0592 2022/08/03 10:08:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:08:50 - mmengine - INFO - Epoch(train) [131][740/1879] lr: 1.0000e-03 eta: 18:39:23 time: 0.2835 data_time: 0.0251 memory: 8198 grad_norm: 6.2484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/08/03 10:08:56 - mmengine - INFO - Epoch(train) [131][760/1879] lr: 1.0000e-03 eta: 18:39:17 time: 0.2822 data_time: 0.0210 memory: 8198 grad_norm: 6.3682 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0904 loss: 1.0904 2022/08/03 10:09:02 - mmengine - INFO - Epoch(train) [131][780/1879] lr: 1.0000e-03 eta: 18:39:12 time: 0.2960 data_time: 0.0195 memory: 8198 grad_norm: 6.6725 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0725 loss: 1.0725 2022/08/03 10:09:07 - mmengine - INFO - Epoch(train) [131][800/1879] lr: 1.0000e-03 eta: 18:39:06 time: 0.2855 data_time: 0.0279 memory: 8198 grad_norm: 6.7376 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2698 loss: 1.2698 2022/08/03 10:09:13 - mmengine - INFO - Epoch(train) [131][820/1879] lr: 1.0000e-03 eta: 18:39:00 time: 0.2832 data_time: 0.0239 memory: 8198 grad_norm: 6.5129 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9309 loss: 0.9309 2022/08/03 10:09:19 - mmengine - INFO - Epoch(train) [131][840/1879] lr: 1.0000e-03 eta: 18:38:55 time: 0.2858 data_time: 0.0194 memory: 8198 grad_norm: 6.7455 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2703 loss: 1.2703 2022/08/03 10:09:25 - mmengine - INFO - Epoch(train) [131][860/1879] lr: 1.0000e-03 eta: 18:38:49 time: 0.2830 data_time: 0.0240 memory: 8198 grad_norm: 6.4313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/08/03 10:09:30 - mmengine - INFO - Epoch(train) [131][880/1879] lr: 1.0000e-03 eta: 18:38:43 time: 0.2871 data_time: 0.0246 memory: 8198 grad_norm: 6.5200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/08/03 10:09:36 - mmengine - INFO - Epoch(train) [131][900/1879] lr: 1.0000e-03 eta: 18:38:38 time: 0.2825 data_time: 0.0199 memory: 8198 grad_norm: 6.4469 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1290 loss: 1.1290 2022/08/03 10:09:42 - mmengine - INFO - Epoch(train) [131][920/1879] lr: 1.0000e-03 eta: 18:38:32 time: 0.2881 data_time: 0.0259 memory: 8198 grad_norm: 6.4455 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/03 10:09:48 - mmengine - INFO - Epoch(train) [131][940/1879] lr: 1.0000e-03 eta: 18:38:26 time: 0.2853 data_time: 0.0227 memory: 8198 grad_norm: 6.5474 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0965 loss: 1.0965 2022/08/03 10:09:53 - mmengine - INFO - Epoch(train) [131][960/1879] lr: 1.0000e-03 eta: 18:38:21 time: 0.2859 data_time: 0.0219 memory: 8198 grad_norm: 6.5764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9252 loss: 0.9252 2022/08/03 10:09:59 - mmengine - INFO - Epoch(train) [131][980/1879] lr: 1.0000e-03 eta: 18:38:15 time: 0.2920 data_time: 0.0218 memory: 8198 grad_norm: 6.3752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8724 loss: 0.8724 2022/08/03 10:10:05 - mmengine - INFO - Epoch(train) [131][1000/1879] lr: 1.0000e-03 eta: 18:38:09 time: 0.2823 data_time: 0.0194 memory: 8198 grad_norm: 6.5768 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2329 loss: 1.2329 2022/08/03 10:10:11 - mmengine - INFO - Epoch(train) [131][1020/1879] lr: 1.0000e-03 eta: 18:38:04 time: 0.2859 data_time: 0.0198 memory: 8198 grad_norm: 6.8347 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/03 10:10:16 - mmengine - INFO - Epoch(train) [131][1040/1879] lr: 1.0000e-03 eta: 18:37:58 time: 0.2814 data_time: 0.0228 memory: 8198 grad_norm: 6.4739 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0313 loss: 1.0313 2022/08/03 10:10:22 - mmengine - INFO - Epoch(train) [131][1060/1879] lr: 1.0000e-03 eta: 18:37:52 time: 0.2991 data_time: 0.0223 memory: 8198 grad_norm: 6.6527 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/08/03 10:10:28 - mmengine - INFO - Epoch(train) [131][1080/1879] lr: 1.0000e-03 eta: 18:37:47 time: 0.2812 data_time: 0.0227 memory: 8198 grad_norm: 6.5915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/08/03 10:10:33 - mmengine - INFO - Epoch(train) [131][1100/1879] lr: 1.0000e-03 eta: 18:37:41 time: 0.2823 data_time: 0.0239 memory: 8198 grad_norm: 6.5124 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1918 loss: 1.1918 2022/08/03 10:10:39 - mmengine - INFO - Epoch(train) [131][1120/1879] lr: 1.0000e-03 eta: 18:37:35 time: 0.2862 data_time: 0.0205 memory: 8198 grad_norm: 6.5597 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3096 loss: 1.3096 2022/08/03 10:10:45 - mmengine - INFO - Epoch(train) [131][1140/1879] lr: 1.0000e-03 eta: 18:37:30 time: 0.2822 data_time: 0.0197 memory: 8198 grad_norm: 6.6701 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1701 loss: 1.1701 2022/08/03 10:10:51 - mmengine - INFO - Epoch(train) [131][1160/1879] lr: 1.0000e-03 eta: 18:37:24 time: 0.2833 data_time: 0.0191 memory: 8198 grad_norm: 6.4011 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0021 loss: 1.0021 2022/08/03 10:10:56 - mmengine - INFO - Epoch(train) [131][1180/1879] lr: 1.0000e-03 eta: 18:37:18 time: 0.2829 data_time: 0.0204 memory: 8198 grad_norm: 6.4721 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0951 loss: 1.0951 2022/08/03 10:11:02 - mmengine - INFO - Epoch(train) [131][1200/1879] lr: 1.0000e-03 eta: 18:37:13 time: 0.2876 data_time: 0.0234 memory: 8198 grad_norm: 6.7619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1352 loss: 1.1352 2022/08/03 10:11:08 - mmengine - INFO - Epoch(train) [131][1220/1879] lr: 1.0000e-03 eta: 18:37:07 time: 0.2864 data_time: 0.0295 memory: 8198 grad_norm: 6.5615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9387 loss: 0.9387 2022/08/03 10:11:13 - mmengine - INFO - Epoch(train) [131][1240/1879] lr: 1.0000e-03 eta: 18:37:01 time: 0.2818 data_time: 0.0155 memory: 8198 grad_norm: 6.4176 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/08/03 10:11:19 - mmengine - INFO - Epoch(train) [131][1260/1879] lr: 1.0000e-03 eta: 18:36:56 time: 0.2904 data_time: 0.0180 memory: 8198 grad_norm: 6.6464 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1482 loss: 1.1482 2022/08/03 10:11:25 - mmengine - INFO - Epoch(train) [131][1280/1879] lr: 1.0000e-03 eta: 18:36:50 time: 0.2854 data_time: 0.0217 memory: 8198 grad_norm: 6.4303 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2065 loss: 1.2065 2022/08/03 10:11:31 - mmengine - INFO - Epoch(train) [131][1300/1879] lr: 1.0000e-03 eta: 18:36:44 time: 0.2844 data_time: 0.0273 memory: 8198 grad_norm: 6.4388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0262 loss: 1.0262 2022/08/03 10:11:36 - mmengine - INFO - Epoch(train) [131][1320/1879] lr: 1.0000e-03 eta: 18:36:39 time: 0.2862 data_time: 0.0211 memory: 8198 grad_norm: 6.4050 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/03 10:11:42 - mmengine - INFO - Epoch(train) [131][1340/1879] lr: 1.0000e-03 eta: 18:36:33 time: 0.2867 data_time: 0.0224 memory: 8198 grad_norm: 6.2895 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9313 loss: 0.9313 2022/08/03 10:11:48 - mmengine - INFO - Epoch(train) [131][1360/1879] lr: 1.0000e-03 eta: 18:36:27 time: 0.2799 data_time: 0.0190 memory: 8198 grad_norm: 6.3050 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0342 loss: 1.0342 2022/08/03 10:11:54 - mmengine - INFO - Epoch(train) [131][1380/1879] lr: 1.0000e-03 eta: 18:36:21 time: 0.2849 data_time: 0.0286 memory: 8198 grad_norm: 6.5845 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9758 loss: 0.9758 2022/08/03 10:12:00 - mmengine - INFO - Epoch(train) [131][1400/1879] lr: 1.0000e-03 eta: 18:36:16 time: 0.2980 data_time: 0.0200 memory: 8198 grad_norm: 6.4404 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/08/03 10:12:05 - mmengine - INFO - Epoch(train) [131][1420/1879] lr: 1.0000e-03 eta: 18:36:10 time: 0.2818 data_time: 0.0244 memory: 8198 grad_norm: 6.7850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1357 loss: 1.1357 2022/08/03 10:12:11 - mmengine - INFO - Epoch(train) [131][1440/1879] lr: 1.0000e-03 eta: 18:36:05 time: 0.2845 data_time: 0.0186 memory: 8198 grad_norm: 6.6740 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0130 loss: 1.0130 2022/08/03 10:12:17 - mmengine - INFO - Epoch(train) [131][1460/1879] lr: 1.0000e-03 eta: 18:35:59 time: 0.2843 data_time: 0.0265 memory: 8198 grad_norm: 6.5515 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0816 loss: 1.0816 2022/08/03 10:12:22 - mmengine - INFO - Epoch(train) [131][1480/1879] lr: 1.0000e-03 eta: 18:35:53 time: 0.2875 data_time: 0.0209 memory: 8198 grad_norm: 6.5024 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9910 loss: 0.9910 2022/08/03 10:12:28 - mmengine - INFO - Epoch(train) [131][1500/1879] lr: 1.0000e-03 eta: 18:35:47 time: 0.2837 data_time: 0.0258 memory: 8198 grad_norm: 6.5672 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0683 loss: 1.0683 2022/08/03 10:12:35 - mmengine - INFO - Epoch(train) [131][1520/1879] lr: 1.0000e-03 eta: 18:35:43 time: 0.3249 data_time: 0.0217 memory: 8198 grad_norm: 6.7431 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0306 loss: 1.0306 2022/08/03 10:12:40 - mmengine - INFO - Epoch(train) [131][1540/1879] lr: 1.0000e-03 eta: 18:35:37 time: 0.2835 data_time: 0.0228 memory: 8198 grad_norm: 6.5348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/08/03 10:12:46 - mmengine - INFO - Epoch(train) [131][1560/1879] lr: 1.0000e-03 eta: 18:35:31 time: 0.2914 data_time: 0.0292 memory: 8198 grad_norm: 6.6349 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9312 loss: 0.9312 2022/08/03 10:12:52 - mmengine - INFO - Epoch(train) [131][1580/1879] lr: 1.0000e-03 eta: 18:35:26 time: 0.2853 data_time: 0.0228 memory: 8198 grad_norm: 6.4147 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9749 loss: 0.9749 2022/08/03 10:12:58 - mmengine - INFO - Epoch(train) [131][1600/1879] lr: 1.0000e-03 eta: 18:35:20 time: 0.2836 data_time: 0.0279 memory: 8198 grad_norm: 6.5914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2429 loss: 1.2429 2022/08/03 10:13:03 - mmengine - INFO - Epoch(train) [131][1620/1879] lr: 1.0000e-03 eta: 18:35:14 time: 0.2842 data_time: 0.0281 memory: 8198 grad_norm: 6.6768 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1739 loss: 1.1739 2022/08/03 10:13:09 - mmengine - INFO - Epoch(train) [131][1640/1879] lr: 1.0000e-03 eta: 18:35:09 time: 0.2866 data_time: 0.0252 memory: 8198 grad_norm: 6.7044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1063 loss: 1.1063 2022/08/03 10:13:15 - mmengine - INFO - Epoch(train) [131][1660/1879] lr: 1.0000e-03 eta: 18:35:03 time: 0.2847 data_time: 0.0244 memory: 8198 grad_norm: 6.7667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0723 loss: 1.0723 2022/08/03 10:13:20 - mmengine - INFO - Epoch(train) [131][1680/1879] lr: 1.0000e-03 eta: 18:34:57 time: 0.2838 data_time: 0.0238 memory: 8198 grad_norm: 6.1718 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1445 loss: 1.1445 2022/08/03 10:13:26 - mmengine - INFO - Epoch(train) [131][1700/1879] lr: 1.0000e-03 eta: 18:34:51 time: 0.2853 data_time: 0.0242 memory: 8198 grad_norm: 6.6528 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0619 loss: 1.0619 2022/08/03 10:13:32 - mmengine - INFO - Epoch(train) [131][1720/1879] lr: 1.0000e-03 eta: 18:34:46 time: 0.2905 data_time: 0.0238 memory: 8198 grad_norm: 6.6506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0658 loss: 1.0658 2022/08/03 10:13:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:13:38 - mmengine - INFO - Epoch(train) [131][1740/1879] lr: 1.0000e-03 eta: 18:34:40 time: 0.2859 data_time: 0.0227 memory: 8198 grad_norm: 6.4801 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2369 loss: 1.2369 2022/08/03 10:13:43 - mmengine - INFO - Epoch(train) [131][1760/1879] lr: 1.0000e-03 eta: 18:34:34 time: 0.2808 data_time: 0.0226 memory: 8198 grad_norm: 6.2306 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1015 loss: 1.1015 2022/08/03 10:13:49 - mmengine - INFO - Epoch(train) [131][1780/1879] lr: 1.0000e-03 eta: 18:34:29 time: 0.2876 data_time: 0.0241 memory: 8198 grad_norm: 6.6850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1984 loss: 1.1984 2022/08/03 10:13:55 - mmengine - INFO - Epoch(train) [131][1800/1879] lr: 1.0000e-03 eta: 18:34:23 time: 0.2828 data_time: 0.0207 memory: 8198 grad_norm: 6.5780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0943 loss: 1.0943 2022/08/03 10:14:00 - mmengine - INFO - Epoch(train) [131][1820/1879] lr: 1.0000e-03 eta: 18:34:17 time: 0.2859 data_time: 0.0243 memory: 8198 grad_norm: 6.6436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/08/03 10:14:06 - mmengine - INFO - Epoch(train) [131][1840/1879] lr: 1.0000e-03 eta: 18:34:12 time: 0.2834 data_time: 0.0146 memory: 8198 grad_norm: 6.5163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/08/03 10:14:12 - mmengine - INFO - Epoch(train) [131][1860/1879] lr: 1.0000e-03 eta: 18:34:06 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 6.8426 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/08/03 10:14:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:14:17 - mmengine - INFO - Epoch(train) [131][1879/1879] lr: 1.0000e-03 eta: 18:34:06 time: 0.2599 data_time: 0.0204 memory: 8198 grad_norm: 6.6756 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.3060 loss: 1.3060 2022/08/03 10:14:25 - mmengine - INFO - Epoch(train) [132][20/1879] lr: 1.0000e-03 eta: 18:33:52 time: 0.4025 data_time: 0.0996 memory: 8198 grad_norm: 6.6284 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/03 10:14:31 - mmengine - INFO - Epoch(train) [132][40/1879] lr: 1.0000e-03 eta: 18:33:47 time: 0.2987 data_time: 0.0220 memory: 8198 grad_norm: 6.4852 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0354 loss: 1.0354 2022/08/03 10:14:37 - mmengine - INFO - Epoch(train) [132][60/1879] lr: 1.0000e-03 eta: 18:33:41 time: 0.2898 data_time: 0.0231 memory: 8198 grad_norm: 6.7126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1507 loss: 1.1507 2022/08/03 10:14:43 - mmengine - INFO - Epoch(train) [132][80/1879] lr: 1.0000e-03 eta: 18:33:35 time: 0.2892 data_time: 0.0199 memory: 8198 grad_norm: 6.4938 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/08/03 10:14:49 - mmengine - INFO - Epoch(train) [132][100/1879] lr: 1.0000e-03 eta: 18:33:30 time: 0.2962 data_time: 0.0210 memory: 8198 grad_norm: 6.5250 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1834 loss: 1.1834 2022/08/03 10:14:54 - mmengine - INFO - Epoch(train) [132][120/1879] lr: 1.0000e-03 eta: 18:33:24 time: 0.2803 data_time: 0.0190 memory: 8198 grad_norm: 6.7232 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9696 loss: 0.9696 2022/08/03 10:15:00 - mmengine - INFO - Epoch(train) [132][140/1879] lr: 1.0000e-03 eta: 18:33:18 time: 0.2837 data_time: 0.0227 memory: 8198 grad_norm: 6.6492 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1525 loss: 1.1525 2022/08/03 10:15:06 - mmengine - INFO - Epoch(train) [132][160/1879] lr: 1.0000e-03 eta: 18:33:13 time: 0.2825 data_time: 0.0200 memory: 8198 grad_norm: 6.2523 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0100 loss: 1.0100 2022/08/03 10:15:11 - mmengine - INFO - Epoch(train) [132][180/1879] lr: 1.0000e-03 eta: 18:33:07 time: 0.2874 data_time: 0.0226 memory: 8198 grad_norm: 6.2250 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0039 loss: 1.0039 2022/08/03 10:15:17 - mmengine - INFO - Epoch(train) [132][200/1879] lr: 1.0000e-03 eta: 18:33:01 time: 0.2855 data_time: 0.0206 memory: 8198 grad_norm: 6.5001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9787 loss: 0.9787 2022/08/03 10:15:23 - mmengine - INFO - Epoch(train) [132][220/1879] lr: 1.0000e-03 eta: 18:32:56 time: 0.2837 data_time: 0.0252 memory: 8198 grad_norm: 6.4753 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0744 loss: 1.0744 2022/08/03 10:15:28 - mmengine - INFO - Epoch(train) [132][240/1879] lr: 1.0000e-03 eta: 18:32:50 time: 0.2841 data_time: 0.0211 memory: 8198 grad_norm: 6.5504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/08/03 10:15:34 - mmengine - INFO - Epoch(train) [132][260/1879] lr: 1.0000e-03 eta: 18:32:44 time: 0.2841 data_time: 0.0239 memory: 8198 grad_norm: 6.5456 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1878 loss: 1.1878 2022/08/03 10:15:40 - mmengine - INFO - Epoch(train) [132][280/1879] lr: 1.0000e-03 eta: 18:32:39 time: 0.2846 data_time: 0.0192 memory: 8198 grad_norm: 6.5381 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0214 loss: 1.0214 2022/08/03 10:15:45 - mmengine - INFO - Epoch(train) [132][300/1879] lr: 1.0000e-03 eta: 18:32:33 time: 0.2813 data_time: 0.0239 memory: 8198 grad_norm: 6.4395 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2189 loss: 1.2189 2022/08/03 10:15:51 - mmengine - INFO - Epoch(train) [132][320/1879] lr: 1.0000e-03 eta: 18:32:27 time: 0.2858 data_time: 0.0239 memory: 8198 grad_norm: 6.4280 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1022 loss: 1.1022 2022/08/03 10:15:57 - mmengine - INFO - Epoch(train) [132][340/1879] lr: 1.0000e-03 eta: 18:32:22 time: 0.2891 data_time: 0.0238 memory: 8198 grad_norm: 6.6538 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1245 loss: 1.1245 2022/08/03 10:16:03 - mmengine - INFO - Epoch(train) [132][360/1879] lr: 1.0000e-03 eta: 18:32:16 time: 0.2806 data_time: 0.0188 memory: 8198 grad_norm: 6.3612 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/08/03 10:16:08 - mmengine - INFO - Epoch(train) [132][380/1879] lr: 1.0000e-03 eta: 18:32:10 time: 0.2874 data_time: 0.0279 memory: 8198 grad_norm: 6.3672 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0197 loss: 1.0197 2022/08/03 10:16:14 - mmengine - INFO - Epoch(train) [132][400/1879] lr: 1.0000e-03 eta: 18:32:04 time: 0.2832 data_time: 0.0208 memory: 8198 grad_norm: 6.4412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0829 loss: 1.0829 2022/08/03 10:16:20 - mmengine - INFO - Epoch(train) [132][420/1879] lr: 1.0000e-03 eta: 18:31:59 time: 0.2910 data_time: 0.0240 memory: 8198 grad_norm: 6.4499 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9238 loss: 0.9238 2022/08/03 10:16:26 - mmengine - INFO - Epoch(train) [132][440/1879] lr: 1.0000e-03 eta: 18:31:53 time: 0.2813 data_time: 0.0253 memory: 8198 grad_norm: 6.4608 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1301 loss: 1.1301 2022/08/03 10:16:31 - mmengine - INFO - Epoch(train) [132][460/1879] lr: 1.0000e-03 eta: 18:31:48 time: 0.2865 data_time: 0.0211 memory: 8198 grad_norm: 6.4739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9855 loss: 0.9855 2022/08/03 10:16:37 - mmengine - INFO - Epoch(train) [132][480/1879] lr: 1.0000e-03 eta: 18:31:42 time: 0.2890 data_time: 0.0240 memory: 8198 grad_norm: 6.4753 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0116 loss: 1.0116 2022/08/03 10:16:43 - mmengine - INFO - Epoch(train) [132][500/1879] lr: 1.0000e-03 eta: 18:31:36 time: 0.2856 data_time: 0.0209 memory: 8198 grad_norm: 6.4919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0676 loss: 1.0676 2022/08/03 10:16:49 - mmengine - INFO - Epoch(train) [132][520/1879] lr: 1.0000e-03 eta: 18:31:31 time: 0.2931 data_time: 0.0257 memory: 8198 grad_norm: 6.3172 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1507 loss: 1.1507 2022/08/03 10:16:54 - mmengine - INFO - Epoch(train) [132][540/1879] lr: 1.0000e-03 eta: 18:31:25 time: 0.2845 data_time: 0.0213 memory: 8198 grad_norm: 6.6089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2679 loss: 1.2679 2022/08/03 10:17:00 - mmengine - INFO - Epoch(train) [132][560/1879] lr: 1.0000e-03 eta: 18:31:19 time: 0.2860 data_time: 0.0192 memory: 8198 grad_norm: 6.5128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9711 loss: 0.9711 2022/08/03 10:17:06 - mmengine - INFO - Epoch(train) [132][580/1879] lr: 1.0000e-03 eta: 18:31:14 time: 0.2837 data_time: 0.0228 memory: 8198 grad_norm: 6.6294 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1046 loss: 1.1046 2022/08/03 10:17:12 - mmengine - INFO - Epoch(train) [132][600/1879] lr: 1.0000e-03 eta: 18:31:08 time: 0.2809 data_time: 0.0222 memory: 8198 grad_norm: 6.5054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/08/03 10:17:17 - mmengine - INFO - Epoch(train) [132][620/1879] lr: 1.0000e-03 eta: 18:31:02 time: 0.2883 data_time: 0.0261 memory: 8198 grad_norm: 6.4366 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0845 loss: 1.0845 2022/08/03 10:17:23 - mmengine - INFO - Epoch(train) [132][640/1879] lr: 1.0000e-03 eta: 18:30:57 time: 0.2910 data_time: 0.0213 memory: 8198 grad_norm: 6.5678 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9476 loss: 0.9476 2022/08/03 10:17:29 - mmengine - INFO - Epoch(train) [132][660/1879] lr: 1.0000e-03 eta: 18:30:51 time: 0.2833 data_time: 0.0258 memory: 8198 grad_norm: 6.8171 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1776 loss: 1.1776 2022/08/03 10:17:34 - mmengine - INFO - Epoch(train) [132][680/1879] lr: 1.0000e-03 eta: 18:30:45 time: 0.2810 data_time: 0.0244 memory: 8198 grad_norm: 6.5965 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/08/03 10:17:40 - mmengine - INFO - Epoch(train) [132][700/1879] lr: 1.0000e-03 eta: 18:30:40 time: 0.2856 data_time: 0.0257 memory: 8198 grad_norm: 6.4308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/03 10:17:46 - mmengine - INFO - Epoch(train) [132][720/1879] lr: 1.0000e-03 eta: 18:30:34 time: 0.2830 data_time: 0.0213 memory: 8198 grad_norm: 6.5497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/08/03 10:17:52 - mmengine - INFO - Epoch(train) [132][740/1879] lr: 1.0000e-03 eta: 18:30:28 time: 0.2850 data_time: 0.0234 memory: 8198 grad_norm: 6.7040 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/08/03 10:17:57 - mmengine - INFO - Epoch(train) [132][760/1879] lr: 1.0000e-03 eta: 18:30:22 time: 0.2862 data_time: 0.0218 memory: 8198 grad_norm: 6.5448 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0405 loss: 1.0405 2022/08/03 10:18:03 - mmengine - INFO - Epoch(train) [132][780/1879] lr: 1.0000e-03 eta: 18:30:17 time: 0.2908 data_time: 0.0195 memory: 8198 grad_norm: 6.5562 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9610 loss: 0.9610 2022/08/03 10:18:09 - mmengine - INFO - Epoch(train) [132][800/1879] lr: 1.0000e-03 eta: 18:30:11 time: 0.2900 data_time: 0.0215 memory: 8198 grad_norm: 6.1614 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1010 loss: 1.1010 2022/08/03 10:18:15 - mmengine - INFO - Epoch(train) [132][820/1879] lr: 1.0000e-03 eta: 18:30:06 time: 0.2868 data_time: 0.0259 memory: 8198 grad_norm: 6.6960 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0602 loss: 1.0602 2022/08/03 10:18:20 - mmengine - INFO - Epoch(train) [132][840/1879] lr: 1.0000e-03 eta: 18:30:00 time: 0.2842 data_time: 0.0246 memory: 8198 grad_norm: 6.4903 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0157 loss: 1.0157 2022/08/03 10:18:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:18:26 - mmengine - INFO - Epoch(train) [132][860/1879] lr: 1.0000e-03 eta: 18:29:54 time: 0.2878 data_time: 0.0264 memory: 8198 grad_norm: 6.4718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0264 loss: 1.0264 2022/08/03 10:18:32 - mmengine - INFO - Epoch(train) [132][880/1879] lr: 1.0000e-03 eta: 18:29:49 time: 0.2827 data_time: 0.0163 memory: 8198 grad_norm: 6.6001 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1905 loss: 1.1905 2022/08/03 10:18:38 - mmengine - INFO - Epoch(train) [132][900/1879] lr: 1.0000e-03 eta: 18:29:43 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 6.6583 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1061 loss: 1.1061 2022/08/03 10:18:43 - mmengine - INFO - Epoch(train) [132][920/1879] lr: 1.0000e-03 eta: 18:29:37 time: 0.2851 data_time: 0.0229 memory: 8198 grad_norm: 6.6299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0095 loss: 1.0095 2022/08/03 10:18:49 - mmengine - INFO - Epoch(train) [132][940/1879] lr: 1.0000e-03 eta: 18:29:32 time: 0.2832 data_time: 0.0216 memory: 8198 grad_norm: 6.4922 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1365 loss: 1.1365 2022/08/03 10:18:55 - mmengine - INFO - Epoch(train) [132][960/1879] lr: 1.0000e-03 eta: 18:29:26 time: 0.2871 data_time: 0.0255 memory: 8198 grad_norm: 6.3478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/08/03 10:19:01 - mmengine - INFO - Epoch(train) [132][980/1879] lr: 1.0000e-03 eta: 18:29:20 time: 0.2836 data_time: 0.0222 memory: 8198 grad_norm: 6.6628 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1629 loss: 1.1629 2022/08/03 10:19:06 - mmengine - INFO - Epoch(train) [132][1000/1879] lr: 1.0000e-03 eta: 18:29:14 time: 0.2819 data_time: 0.0216 memory: 8198 grad_norm: 7.0084 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1967 loss: 1.1967 2022/08/03 10:19:12 - mmengine - INFO - Epoch(train) [132][1020/1879] lr: 1.0000e-03 eta: 18:29:09 time: 0.2892 data_time: 0.0244 memory: 8198 grad_norm: 6.4064 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1467 loss: 1.1467 2022/08/03 10:19:18 - mmengine - INFO - Epoch(train) [132][1040/1879] lr: 1.0000e-03 eta: 18:29:03 time: 0.2836 data_time: 0.0240 memory: 8198 grad_norm: 6.6023 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0585 loss: 1.0585 2022/08/03 10:19:23 - mmengine - INFO - Epoch(train) [132][1060/1879] lr: 1.0000e-03 eta: 18:28:57 time: 0.2863 data_time: 0.0244 memory: 8198 grad_norm: 6.4258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0919 loss: 1.0919 2022/08/03 10:19:29 - mmengine - INFO - Epoch(train) [132][1080/1879] lr: 1.0000e-03 eta: 18:28:52 time: 0.2881 data_time: 0.0209 memory: 8198 grad_norm: 6.2786 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9664 loss: 0.9664 2022/08/03 10:19:35 - mmengine - INFO - Epoch(train) [132][1100/1879] lr: 1.0000e-03 eta: 18:28:46 time: 0.2815 data_time: 0.0206 memory: 8198 grad_norm: 6.4788 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/08/03 10:19:41 - mmengine - INFO - Epoch(train) [132][1120/1879] lr: 1.0000e-03 eta: 18:28:40 time: 0.2877 data_time: 0.0207 memory: 8198 grad_norm: 6.3545 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0826 loss: 1.0826 2022/08/03 10:19:46 - mmengine - INFO - Epoch(train) [132][1140/1879] lr: 1.0000e-03 eta: 18:28:35 time: 0.2890 data_time: 0.0254 memory: 8198 grad_norm: 6.5709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/08/03 10:19:52 - mmengine - INFO - Epoch(train) [132][1160/1879] lr: 1.0000e-03 eta: 18:28:29 time: 0.2846 data_time: 0.0246 memory: 8198 grad_norm: 6.4025 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2055 loss: 1.2055 2022/08/03 10:19:58 - mmengine - INFO - Epoch(train) [132][1180/1879] lr: 1.0000e-03 eta: 18:28:24 time: 0.2878 data_time: 0.0202 memory: 8198 grad_norm: 6.6626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/08/03 10:20:04 - mmengine - INFO - Epoch(train) [132][1200/1879] lr: 1.0000e-03 eta: 18:28:18 time: 0.2832 data_time: 0.0183 memory: 8198 grad_norm: 6.8771 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2511 loss: 1.2511 2022/08/03 10:20:09 - mmengine - INFO - Epoch(train) [132][1220/1879] lr: 1.0000e-03 eta: 18:28:12 time: 0.2845 data_time: 0.0226 memory: 8198 grad_norm: 6.3906 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/08/03 10:20:15 - mmengine - INFO - Epoch(train) [132][1240/1879] lr: 1.0000e-03 eta: 18:28:06 time: 0.2852 data_time: 0.0241 memory: 8198 grad_norm: 6.7254 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/08/03 10:20:21 - mmengine - INFO - Epoch(train) [132][1260/1879] lr: 1.0000e-03 eta: 18:28:01 time: 0.2856 data_time: 0.0261 memory: 8198 grad_norm: 6.6357 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0756 loss: 1.0756 2022/08/03 10:20:26 - mmengine - INFO - Epoch(train) [132][1280/1879] lr: 1.0000e-03 eta: 18:27:55 time: 0.2828 data_time: 0.0210 memory: 8198 grad_norm: 6.4578 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1872 loss: 1.1872 2022/08/03 10:20:32 - mmengine - INFO - Epoch(train) [132][1300/1879] lr: 1.0000e-03 eta: 18:27:49 time: 0.2865 data_time: 0.0263 memory: 8198 grad_norm: 6.5838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0454 loss: 1.0454 2022/08/03 10:20:38 - mmengine - INFO - Epoch(train) [132][1320/1879] lr: 1.0000e-03 eta: 18:27:44 time: 0.2862 data_time: 0.0255 memory: 8198 grad_norm: 6.3868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0290 loss: 1.0290 2022/08/03 10:20:44 - mmengine - INFO - Epoch(train) [132][1340/1879] lr: 1.0000e-03 eta: 18:27:38 time: 0.2852 data_time: 0.0230 memory: 8198 grad_norm: 6.2903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0172 loss: 1.0172 2022/08/03 10:20:49 - mmengine - INFO - Epoch(train) [132][1360/1879] lr: 1.0000e-03 eta: 18:27:32 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 6.4801 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0949 loss: 1.0949 2022/08/03 10:20:55 - mmengine - INFO - Epoch(train) [132][1380/1879] lr: 1.0000e-03 eta: 18:27:27 time: 0.2861 data_time: 0.0208 memory: 8198 grad_norm: 6.7557 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0544 loss: 1.0544 2022/08/03 10:21:01 - mmengine - INFO - Epoch(train) [132][1400/1879] lr: 1.0000e-03 eta: 18:27:21 time: 0.2854 data_time: 0.0202 memory: 8198 grad_norm: 6.3905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/08/03 10:21:07 - mmengine - INFO - Epoch(train) [132][1420/1879] lr: 1.0000e-03 eta: 18:27:15 time: 0.2833 data_time: 0.0240 memory: 8198 grad_norm: 6.5347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9557 loss: 0.9557 2022/08/03 10:21:12 - mmengine - INFO - Epoch(train) [132][1440/1879] lr: 1.0000e-03 eta: 18:27:10 time: 0.2881 data_time: 0.0237 memory: 8198 grad_norm: 6.3609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/08/03 10:21:18 - mmengine - INFO - Epoch(train) [132][1460/1879] lr: 1.0000e-03 eta: 18:27:04 time: 0.2907 data_time: 0.0203 memory: 8198 grad_norm: 6.5115 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1061 loss: 1.1061 2022/08/03 10:21:24 - mmengine - INFO - Epoch(train) [132][1480/1879] lr: 1.0000e-03 eta: 18:26:58 time: 0.2851 data_time: 0.0212 memory: 8198 grad_norm: 6.5056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9514 loss: 0.9514 2022/08/03 10:21:30 - mmengine - INFO - Epoch(train) [132][1500/1879] lr: 1.0000e-03 eta: 18:26:53 time: 0.2966 data_time: 0.0204 memory: 8198 grad_norm: 6.5284 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9724 loss: 0.9724 2022/08/03 10:21:35 - mmengine - INFO - Epoch(train) [132][1520/1879] lr: 1.0000e-03 eta: 18:26:47 time: 0.2825 data_time: 0.0199 memory: 8198 grad_norm: 6.6838 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9626 loss: 0.9626 2022/08/03 10:21:41 - mmengine - INFO - Epoch(train) [132][1540/1879] lr: 1.0000e-03 eta: 18:26:42 time: 0.2870 data_time: 0.0231 memory: 8198 grad_norm: 6.8452 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1651 loss: 1.1651 2022/08/03 10:21:47 - mmengine - INFO - Epoch(train) [132][1560/1879] lr: 1.0000e-03 eta: 18:26:36 time: 0.2814 data_time: 0.0215 memory: 8198 grad_norm: 6.6956 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1194 loss: 1.1194 2022/08/03 10:21:53 - mmengine - INFO - Epoch(train) [132][1580/1879] lr: 1.0000e-03 eta: 18:26:30 time: 0.2891 data_time: 0.0252 memory: 8198 grad_norm: 6.6167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2106 loss: 1.2106 2022/08/03 10:21:58 - mmengine - INFO - Epoch(train) [132][1600/1879] lr: 1.0000e-03 eta: 18:26:25 time: 0.2846 data_time: 0.0218 memory: 8198 grad_norm: 6.6632 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1656 loss: 1.1656 2022/08/03 10:22:04 - mmengine - INFO - Epoch(train) [132][1620/1879] lr: 1.0000e-03 eta: 18:26:19 time: 0.2836 data_time: 0.0221 memory: 8198 grad_norm: 6.6207 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0939 loss: 1.0939 2022/08/03 10:22:10 - mmengine - INFO - Epoch(train) [132][1640/1879] lr: 1.0000e-03 eta: 18:26:13 time: 0.2837 data_time: 0.0177 memory: 8198 grad_norm: 6.6084 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0799 loss: 1.0799 2022/08/03 10:22:15 - mmengine - INFO - Epoch(train) [132][1660/1879] lr: 1.0000e-03 eta: 18:26:07 time: 0.2833 data_time: 0.0218 memory: 8198 grad_norm: 6.5982 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2955 loss: 1.2955 2022/08/03 10:22:21 - mmengine - INFO - Epoch(train) [132][1680/1879] lr: 1.0000e-03 eta: 18:26:02 time: 0.2836 data_time: 0.0230 memory: 8198 grad_norm: 6.5521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0170 loss: 1.0170 2022/08/03 10:22:27 - mmengine - INFO - Epoch(train) [132][1700/1879] lr: 1.0000e-03 eta: 18:25:56 time: 0.2852 data_time: 0.0193 memory: 8198 grad_norm: 6.5952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2577 loss: 1.2577 2022/08/03 10:22:33 - mmengine - INFO - Epoch(train) [132][1720/1879] lr: 1.0000e-03 eta: 18:25:50 time: 0.2840 data_time: 0.0216 memory: 8198 grad_norm: 6.6254 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1097 loss: 1.1097 2022/08/03 10:22:38 - mmengine - INFO - Epoch(train) [132][1740/1879] lr: 1.0000e-03 eta: 18:25:45 time: 0.2840 data_time: 0.0227 memory: 8198 grad_norm: 6.5376 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9215 loss: 0.9215 2022/08/03 10:22:44 - mmengine - INFO - Epoch(train) [132][1760/1879] lr: 1.0000e-03 eta: 18:25:39 time: 0.2824 data_time: 0.0208 memory: 8198 grad_norm: 6.5229 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0319 loss: 1.0319 2022/08/03 10:22:50 - mmengine - INFO - Epoch(train) [132][1780/1879] lr: 1.0000e-03 eta: 18:25:33 time: 0.2858 data_time: 0.0220 memory: 8198 grad_norm: 6.6162 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1625 loss: 1.1625 2022/08/03 10:22:55 - mmengine - INFO - Epoch(train) [132][1800/1879] lr: 1.0000e-03 eta: 18:25:27 time: 0.2843 data_time: 0.0206 memory: 8198 grad_norm: 6.4347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9598 loss: 0.9598 2022/08/03 10:23:01 - mmengine - INFO - Epoch(train) [132][1820/1879] lr: 1.0000e-03 eta: 18:25:22 time: 0.2937 data_time: 0.0271 memory: 8198 grad_norm: 6.6211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1936 loss: 1.1936 2022/08/03 10:23:07 - mmengine - INFO - Epoch(train) [132][1840/1879] lr: 1.0000e-03 eta: 18:25:16 time: 0.2824 data_time: 0.0222 memory: 8198 grad_norm: 6.5672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1161 loss: 1.1161 2022/08/03 10:23:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:23:13 - mmengine - INFO - Epoch(train) [132][1860/1879] lr: 1.0000e-03 eta: 18:25:11 time: 0.2860 data_time: 0.0209 memory: 8198 grad_norm: 6.7109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/08/03 10:23:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:23:18 - mmengine - INFO - Epoch(train) [132][1879/1879] lr: 1.0000e-03 eta: 18:25:11 time: 0.2572 data_time: 0.0163 memory: 8198 grad_norm: 6.8146 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2632 loss: 1.2632 2022/08/03 10:23:18 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/08/03 10:23:28 - mmengine - INFO - Epoch(train) [133][20/1879] lr: 1.0000e-03 eta: 18:24:56 time: 0.3801 data_time: 0.1203 memory: 8198 grad_norm: 6.3999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/08/03 10:23:33 - mmengine - INFO - Epoch(train) [133][40/1879] lr: 1.0000e-03 eta: 18:24:51 time: 0.2850 data_time: 0.0198 memory: 8198 grad_norm: 6.5654 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1605 loss: 1.1605 2022/08/03 10:23:39 - mmengine - INFO - Epoch(train) [133][60/1879] lr: 1.0000e-03 eta: 18:24:45 time: 0.2896 data_time: 0.0267 memory: 8198 grad_norm: 6.4613 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0407 loss: 1.0407 2022/08/03 10:23:45 - mmengine - INFO - Epoch(train) [133][80/1879] lr: 1.0000e-03 eta: 18:24:39 time: 0.2826 data_time: 0.0207 memory: 8198 grad_norm: 6.5015 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9270 loss: 0.9270 2022/08/03 10:23:51 - mmengine - INFO - Epoch(train) [133][100/1879] lr: 1.0000e-03 eta: 18:24:34 time: 0.2881 data_time: 0.0263 memory: 8198 grad_norm: 6.5070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1579 loss: 1.1579 2022/08/03 10:23:56 - mmengine - INFO - Epoch(train) [133][120/1879] lr: 1.0000e-03 eta: 18:24:28 time: 0.2843 data_time: 0.0281 memory: 8198 grad_norm: 6.5113 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/08/03 10:24:02 - mmengine - INFO - Epoch(train) [133][140/1879] lr: 1.0000e-03 eta: 18:24:22 time: 0.2888 data_time: 0.0217 memory: 8198 grad_norm: 6.5792 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1450 loss: 1.1450 2022/08/03 10:24:08 - mmengine - INFO - Epoch(train) [133][160/1879] lr: 1.0000e-03 eta: 18:24:17 time: 0.2846 data_time: 0.0235 memory: 8198 grad_norm: 6.6444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/08/03 10:24:13 - mmengine - INFO - Epoch(train) [133][180/1879] lr: 1.0000e-03 eta: 18:24:11 time: 0.2847 data_time: 0.0233 memory: 8198 grad_norm: 6.2891 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0931 loss: 1.0931 2022/08/03 10:24:19 - mmengine - INFO - Epoch(train) [133][200/1879] lr: 1.0000e-03 eta: 18:24:05 time: 0.2930 data_time: 0.0333 memory: 8198 grad_norm: 6.5289 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/08/03 10:24:25 - mmengine - INFO - Epoch(train) [133][220/1879] lr: 1.0000e-03 eta: 18:24:00 time: 0.2853 data_time: 0.0265 memory: 8198 grad_norm: 6.6786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/08/03 10:24:31 - mmengine - INFO - Epoch(train) [133][240/1879] lr: 1.0000e-03 eta: 18:23:54 time: 0.2850 data_time: 0.0188 memory: 8198 grad_norm: 6.6491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0340 loss: 1.0340 2022/08/03 10:24:36 - mmengine - INFO - Epoch(train) [133][260/1879] lr: 1.0000e-03 eta: 18:23:48 time: 0.2829 data_time: 0.0209 memory: 8198 grad_norm: 6.4586 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0316 loss: 1.0316 2022/08/03 10:24:42 - mmengine - INFO - Epoch(train) [133][280/1879] lr: 1.0000e-03 eta: 18:23:43 time: 0.3000 data_time: 0.0209 memory: 8198 grad_norm: 6.4497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0904 loss: 1.0904 2022/08/03 10:24:48 - mmengine - INFO - Epoch(train) [133][300/1879] lr: 1.0000e-03 eta: 18:23:37 time: 0.2845 data_time: 0.0261 memory: 8198 grad_norm: 6.3124 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9700 loss: 0.9700 2022/08/03 10:24:54 - mmengine - INFO - Epoch(train) [133][320/1879] lr: 1.0000e-03 eta: 18:23:31 time: 0.2859 data_time: 0.0278 memory: 8198 grad_norm: 6.3008 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/08/03 10:25:00 - mmengine - INFO - Epoch(train) [133][340/1879] lr: 1.0000e-03 eta: 18:23:26 time: 0.2821 data_time: 0.0229 memory: 8198 grad_norm: 6.3555 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0485 loss: 1.0485 2022/08/03 10:25:05 - mmengine - INFO - Epoch(train) [133][360/1879] lr: 1.0000e-03 eta: 18:23:20 time: 0.2816 data_time: 0.0212 memory: 8198 grad_norm: 6.5028 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1404 loss: 1.1404 2022/08/03 10:25:11 - mmengine - INFO - Epoch(train) [133][380/1879] lr: 1.0000e-03 eta: 18:23:14 time: 0.2895 data_time: 0.0242 memory: 8198 grad_norm: 6.3777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/08/03 10:25:17 - mmengine - INFO - Epoch(train) [133][400/1879] lr: 1.0000e-03 eta: 18:23:09 time: 0.2814 data_time: 0.0206 memory: 8198 grad_norm: 6.6733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/08/03 10:25:22 - mmengine - INFO - Epoch(train) [133][420/1879] lr: 1.0000e-03 eta: 18:23:03 time: 0.2870 data_time: 0.0267 memory: 8198 grad_norm: 6.5777 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1254 loss: 1.1254 2022/08/03 10:25:28 - mmengine - INFO - Epoch(train) [133][440/1879] lr: 1.0000e-03 eta: 18:22:57 time: 0.2846 data_time: 0.0195 memory: 8198 grad_norm: 6.5409 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0213 loss: 1.0213 2022/08/03 10:25:34 - mmengine - INFO - Epoch(train) [133][460/1879] lr: 1.0000e-03 eta: 18:22:52 time: 0.2931 data_time: 0.0230 memory: 8198 grad_norm: 6.5066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1232 loss: 1.1232 2022/08/03 10:25:40 - mmengine - INFO - Epoch(train) [133][480/1879] lr: 1.0000e-03 eta: 18:22:46 time: 0.2868 data_time: 0.0257 memory: 8198 grad_norm: 6.8924 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/08/03 10:25:46 - mmengine - INFO - Epoch(train) [133][500/1879] lr: 1.0000e-03 eta: 18:22:41 time: 0.2875 data_time: 0.0204 memory: 8198 grad_norm: 6.4058 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2486 loss: 1.2486 2022/08/03 10:25:51 - mmengine - INFO - Epoch(train) [133][520/1879] lr: 1.0000e-03 eta: 18:22:35 time: 0.2827 data_time: 0.0195 memory: 8198 grad_norm: 6.5469 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0543 loss: 1.0543 2022/08/03 10:25:57 - mmengine - INFO - Epoch(train) [133][540/1879] lr: 1.0000e-03 eta: 18:22:29 time: 0.2837 data_time: 0.0233 memory: 8198 grad_norm: 6.5771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/03 10:26:03 - mmengine - INFO - Epoch(train) [133][560/1879] lr: 1.0000e-03 eta: 18:22:23 time: 0.2891 data_time: 0.0230 memory: 8198 grad_norm: 6.6407 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3714 loss: 1.3714 2022/08/03 10:26:08 - mmengine - INFO - Epoch(train) [133][580/1879] lr: 1.0000e-03 eta: 18:22:18 time: 0.2833 data_time: 0.0205 memory: 8198 grad_norm: 6.5942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0461 loss: 1.0461 2022/08/03 10:26:14 - mmengine - INFO - Epoch(train) [133][600/1879] lr: 1.0000e-03 eta: 18:22:12 time: 0.2900 data_time: 0.0255 memory: 8198 grad_norm: 6.5201 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9810 loss: 0.9810 2022/08/03 10:26:20 - mmengine - INFO - Epoch(train) [133][620/1879] lr: 1.0000e-03 eta: 18:22:06 time: 0.2857 data_time: 0.0221 memory: 8198 grad_norm: 6.6801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/08/03 10:26:26 - mmengine - INFO - Epoch(train) [133][640/1879] lr: 1.0000e-03 eta: 18:22:01 time: 0.2857 data_time: 0.0222 memory: 8198 grad_norm: 6.3715 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0378 loss: 1.0378 2022/08/03 10:26:31 - mmengine - INFO - Epoch(train) [133][660/1879] lr: 1.0000e-03 eta: 18:21:55 time: 0.2862 data_time: 0.0241 memory: 8198 grad_norm: 6.3688 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9825 loss: 0.9825 2022/08/03 10:26:37 - mmengine - INFO - Epoch(train) [133][680/1879] lr: 1.0000e-03 eta: 18:21:50 time: 0.2873 data_time: 0.0288 memory: 8198 grad_norm: 6.7433 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9147 loss: 0.9147 2022/08/03 10:26:44 - mmengine - INFO - Epoch(train) [133][700/1879] lr: 1.0000e-03 eta: 18:21:44 time: 0.3131 data_time: 0.0252 memory: 8198 grad_norm: 6.4852 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9518 loss: 0.9518 2022/08/03 10:26:49 - mmengine - INFO - Epoch(train) [133][720/1879] lr: 1.0000e-03 eta: 18:21:39 time: 0.2846 data_time: 0.0267 memory: 8198 grad_norm: 6.3471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9481 loss: 0.9481 2022/08/03 10:26:55 - mmengine - INFO - Epoch(train) [133][740/1879] lr: 1.0000e-03 eta: 18:21:33 time: 0.2896 data_time: 0.0312 memory: 8198 grad_norm: 6.6859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0111 loss: 1.0111 2022/08/03 10:27:01 - mmengine - INFO - Epoch(train) [133][760/1879] lr: 1.0000e-03 eta: 18:21:28 time: 0.2976 data_time: 0.0238 memory: 8198 grad_norm: 6.7609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1756 loss: 1.1756 2022/08/03 10:27:07 - mmengine - INFO - Epoch(train) [133][780/1879] lr: 1.0000e-03 eta: 18:21:22 time: 0.2857 data_time: 0.0227 memory: 8198 grad_norm: 6.7403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1204 loss: 1.1204 2022/08/03 10:27:12 - mmengine - INFO - Epoch(train) [133][800/1879] lr: 1.0000e-03 eta: 18:21:16 time: 0.2820 data_time: 0.0226 memory: 8198 grad_norm: 6.5865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0292 loss: 1.0292 2022/08/03 10:27:18 - mmengine - INFO - Epoch(train) [133][820/1879] lr: 1.0000e-03 eta: 18:21:10 time: 0.2826 data_time: 0.0292 memory: 8198 grad_norm: 6.8228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3668 loss: 1.3668 2022/08/03 10:27:24 - mmengine - INFO - Epoch(train) [133][840/1879] lr: 1.0000e-03 eta: 18:21:05 time: 0.3020 data_time: 0.0212 memory: 8198 grad_norm: 6.6172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/08/03 10:27:30 - mmengine - INFO - Epoch(train) [133][860/1879] lr: 1.0000e-03 eta: 18:20:59 time: 0.2854 data_time: 0.0204 memory: 8198 grad_norm: 6.3509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0471 loss: 1.0471 2022/08/03 10:27:36 - mmengine - INFO - Epoch(train) [133][880/1879] lr: 1.0000e-03 eta: 18:20:54 time: 0.2873 data_time: 0.0243 memory: 8198 grad_norm: 6.6249 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9124 loss: 0.9124 2022/08/03 10:27:41 - mmengine - INFO - Epoch(train) [133][900/1879] lr: 1.0000e-03 eta: 18:20:48 time: 0.2895 data_time: 0.0249 memory: 8198 grad_norm: 6.8162 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4126 loss: 1.4126 2022/08/03 10:27:47 - mmengine - INFO - Epoch(train) [133][920/1879] lr: 1.0000e-03 eta: 18:20:42 time: 0.2809 data_time: 0.0216 memory: 8198 grad_norm: 6.5337 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0872 loss: 1.0872 2022/08/03 10:27:53 - mmengine - INFO - Epoch(train) [133][940/1879] lr: 1.0000e-03 eta: 18:20:37 time: 0.2867 data_time: 0.0224 memory: 8198 grad_norm: 6.5218 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/08/03 10:27:59 - mmengine - INFO - Epoch(train) [133][960/1879] lr: 1.0000e-03 eta: 18:20:31 time: 0.2842 data_time: 0.0216 memory: 8198 grad_norm: 6.4764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1445 loss: 1.1445 2022/08/03 10:28:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:28:04 - mmengine - INFO - Epoch(train) [133][980/1879] lr: 1.0000e-03 eta: 18:20:25 time: 0.2844 data_time: 0.0187 memory: 8198 grad_norm: 6.6014 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0758 loss: 1.0758 2022/08/03 10:28:10 - mmengine - INFO - Epoch(train) [133][1000/1879] lr: 1.0000e-03 eta: 18:20:20 time: 0.2818 data_time: 0.0193 memory: 8198 grad_norm: 6.7938 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0247 loss: 1.0247 2022/08/03 10:28:16 - mmengine - INFO - Epoch(train) [133][1020/1879] lr: 1.0000e-03 eta: 18:20:14 time: 0.2836 data_time: 0.0217 memory: 8198 grad_norm: 6.7234 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0817 loss: 1.0817 2022/08/03 10:28:21 - mmengine - INFO - Epoch(train) [133][1040/1879] lr: 1.0000e-03 eta: 18:20:08 time: 0.2862 data_time: 0.0203 memory: 8198 grad_norm: 6.7085 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9506 loss: 0.9506 2022/08/03 10:28:27 - mmengine - INFO - Epoch(train) [133][1060/1879] lr: 1.0000e-03 eta: 18:20:03 time: 0.2856 data_time: 0.0222 memory: 8198 grad_norm: 6.6721 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9875 loss: 0.9875 2022/08/03 10:28:33 - mmengine - INFO - Epoch(train) [133][1080/1879] lr: 1.0000e-03 eta: 18:19:57 time: 0.2846 data_time: 0.0197 memory: 8198 grad_norm: 6.5951 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1506 loss: 1.1506 2022/08/03 10:28:38 - mmengine - INFO - Epoch(train) [133][1100/1879] lr: 1.0000e-03 eta: 18:19:51 time: 0.2831 data_time: 0.0224 memory: 8198 grad_norm: 6.4604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0929 loss: 1.0929 2022/08/03 10:28:44 - mmengine - INFO - Epoch(train) [133][1120/1879] lr: 1.0000e-03 eta: 18:19:45 time: 0.2836 data_time: 0.0219 memory: 8198 grad_norm: 6.6446 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1825 loss: 1.1825 2022/08/03 10:28:50 - mmengine - INFO - Epoch(train) [133][1140/1879] lr: 1.0000e-03 eta: 18:19:40 time: 0.2870 data_time: 0.0247 memory: 8198 grad_norm: 6.2623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/08/03 10:28:56 - mmengine - INFO - Epoch(train) [133][1160/1879] lr: 1.0000e-03 eta: 18:19:34 time: 0.2872 data_time: 0.0268 memory: 8198 grad_norm: 6.7398 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/08/03 10:29:02 - mmengine - INFO - Epoch(train) [133][1180/1879] lr: 1.0000e-03 eta: 18:19:29 time: 0.2933 data_time: 0.0292 memory: 8198 grad_norm: 6.4855 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0826 loss: 1.0826 2022/08/03 10:29:07 - mmengine - INFO - Epoch(train) [133][1200/1879] lr: 1.0000e-03 eta: 18:19:23 time: 0.2827 data_time: 0.0210 memory: 8198 grad_norm: 6.6356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/08/03 10:29:13 - mmengine - INFO - Epoch(train) [133][1220/1879] lr: 1.0000e-03 eta: 18:19:17 time: 0.2860 data_time: 0.0216 memory: 8198 grad_norm: 6.5258 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/08/03 10:29:19 - mmengine - INFO - Epoch(train) [133][1240/1879] lr: 1.0000e-03 eta: 18:19:12 time: 0.2828 data_time: 0.0224 memory: 8198 grad_norm: 6.6341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0307 loss: 1.0307 2022/08/03 10:29:24 - mmengine - INFO - Epoch(train) [133][1260/1879] lr: 1.0000e-03 eta: 18:19:06 time: 0.2823 data_time: 0.0227 memory: 8198 grad_norm: 6.6696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/08/03 10:29:30 - mmengine - INFO - Epoch(train) [133][1280/1879] lr: 1.0000e-03 eta: 18:19:00 time: 0.2846 data_time: 0.0164 memory: 8198 grad_norm: 6.5889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0758 loss: 1.0758 2022/08/03 10:29:36 - mmengine - INFO - Epoch(train) [133][1300/1879] lr: 1.0000e-03 eta: 18:18:54 time: 0.2845 data_time: 0.0267 memory: 8198 grad_norm: 6.6283 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1691 loss: 1.1691 2022/08/03 10:29:41 - mmengine - INFO - Epoch(train) [133][1320/1879] lr: 1.0000e-03 eta: 18:18:49 time: 0.2864 data_time: 0.0177 memory: 8198 grad_norm: 6.8522 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1755 loss: 1.1755 2022/08/03 10:29:47 - mmengine - INFO - Epoch(train) [133][1340/1879] lr: 1.0000e-03 eta: 18:18:43 time: 0.2823 data_time: 0.0216 memory: 8198 grad_norm: 6.8453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1043 loss: 1.1043 2022/08/03 10:29:53 - mmengine - INFO - Epoch(train) [133][1360/1879] lr: 1.0000e-03 eta: 18:18:37 time: 0.2851 data_time: 0.0226 memory: 8198 grad_norm: 6.7327 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1344 loss: 1.1344 2022/08/03 10:29:59 - mmengine - INFO - Epoch(train) [133][1380/1879] lr: 1.0000e-03 eta: 18:18:32 time: 0.2881 data_time: 0.0220 memory: 8198 grad_norm: 6.7332 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1083 loss: 1.1083 2022/08/03 10:30:04 - mmengine - INFO - Epoch(train) [133][1400/1879] lr: 1.0000e-03 eta: 18:18:26 time: 0.2854 data_time: 0.0268 memory: 8198 grad_norm: 6.3563 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/08/03 10:30:10 - mmengine - INFO - Epoch(train) [133][1420/1879] lr: 1.0000e-03 eta: 18:18:20 time: 0.2835 data_time: 0.0227 memory: 8198 grad_norm: 6.4731 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1584 loss: 1.1584 2022/08/03 10:30:16 - mmengine - INFO - Epoch(train) [133][1440/1879] lr: 1.0000e-03 eta: 18:18:15 time: 0.2870 data_time: 0.0227 memory: 8198 grad_norm: 6.5712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2684 loss: 1.2684 2022/08/03 10:30:22 - mmengine - INFO - Epoch(train) [133][1460/1879] lr: 1.0000e-03 eta: 18:18:09 time: 0.2857 data_time: 0.0226 memory: 8198 grad_norm: 6.7663 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2026 loss: 1.2026 2022/08/03 10:30:27 - mmengine - INFO - Epoch(train) [133][1480/1879] lr: 1.0000e-03 eta: 18:18:03 time: 0.2821 data_time: 0.0220 memory: 8198 grad_norm: 6.7528 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1367 loss: 1.1367 2022/08/03 10:30:33 - mmengine - INFO - Epoch(train) [133][1500/1879] lr: 1.0000e-03 eta: 18:17:58 time: 0.2900 data_time: 0.0280 memory: 8198 grad_norm: 6.8146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/08/03 10:30:39 - mmengine - INFO - Epoch(train) [133][1520/1879] lr: 1.0000e-03 eta: 18:17:52 time: 0.2881 data_time: 0.0246 memory: 8198 grad_norm: 6.5814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0174 loss: 1.0174 2022/08/03 10:30:45 - mmengine - INFO - Epoch(train) [133][1540/1879] lr: 1.0000e-03 eta: 18:17:46 time: 0.2860 data_time: 0.0252 memory: 8198 grad_norm: 6.5463 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/08/03 10:30:50 - mmengine - INFO - Epoch(train) [133][1560/1879] lr: 1.0000e-03 eta: 18:17:41 time: 0.2796 data_time: 0.0212 memory: 8198 grad_norm: 6.6892 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/08/03 10:30:56 - mmengine - INFO - Epoch(train) [133][1580/1879] lr: 1.0000e-03 eta: 18:17:35 time: 0.2825 data_time: 0.0213 memory: 8198 grad_norm: 6.3468 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1198 loss: 1.1198 2022/08/03 10:31:02 - mmengine - INFO - Epoch(train) [133][1600/1879] lr: 1.0000e-03 eta: 18:17:29 time: 0.2895 data_time: 0.0253 memory: 8198 grad_norm: 6.4904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/08/03 10:31:07 - mmengine - INFO - Epoch(train) [133][1620/1879] lr: 1.0000e-03 eta: 18:17:24 time: 0.2851 data_time: 0.0266 memory: 8198 grad_norm: 6.7484 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1209 loss: 1.1209 2022/08/03 10:31:13 - mmengine - INFO - Epoch(train) [133][1640/1879] lr: 1.0000e-03 eta: 18:17:18 time: 0.2904 data_time: 0.0199 memory: 8198 grad_norm: 6.5759 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1374 loss: 1.1374 2022/08/03 10:31:19 - mmengine - INFO - Epoch(train) [133][1660/1879] lr: 1.0000e-03 eta: 18:17:12 time: 0.2811 data_time: 0.0188 memory: 8198 grad_norm: 6.4387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0763 loss: 1.0763 2022/08/03 10:31:25 - mmengine - INFO - Epoch(train) [133][1680/1879] lr: 1.0000e-03 eta: 18:17:07 time: 0.2850 data_time: 0.0248 memory: 8198 grad_norm: 6.6622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9663 loss: 0.9663 2022/08/03 10:31:30 - mmengine - INFO - Epoch(train) [133][1700/1879] lr: 1.0000e-03 eta: 18:17:01 time: 0.2838 data_time: 0.0189 memory: 8198 grad_norm: 6.9662 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/08/03 10:31:36 - mmengine - INFO - Epoch(train) [133][1720/1879] lr: 1.0000e-03 eta: 18:16:55 time: 0.2855 data_time: 0.0249 memory: 8198 grad_norm: 6.8267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1291 loss: 1.1291 2022/08/03 10:31:42 - mmengine - INFO - Epoch(train) [133][1740/1879] lr: 1.0000e-03 eta: 18:16:50 time: 0.2954 data_time: 0.0201 memory: 8198 grad_norm: 6.4399 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0212 loss: 1.0212 2022/08/03 10:31:48 - mmengine - INFO - Epoch(train) [133][1760/1879] lr: 1.0000e-03 eta: 18:16:44 time: 0.2838 data_time: 0.0212 memory: 8198 grad_norm: 6.6880 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0564 loss: 1.0564 2022/08/03 10:31:53 - mmengine - INFO - Epoch(train) [133][1780/1879] lr: 1.0000e-03 eta: 18:16:38 time: 0.2856 data_time: 0.0239 memory: 8198 grad_norm: 6.6038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/08/03 10:31:59 - mmengine - INFO - Epoch(train) [133][1800/1879] lr: 1.0000e-03 eta: 18:16:33 time: 0.2851 data_time: 0.0195 memory: 8198 grad_norm: 6.6860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0332 loss: 1.0332 2022/08/03 10:32:05 - mmengine - INFO - Epoch(train) [133][1820/1879] lr: 1.0000e-03 eta: 18:16:27 time: 0.2862 data_time: 0.0236 memory: 8198 grad_norm: 6.7177 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1254 loss: 1.1254 2022/08/03 10:32:11 - mmengine - INFO - Epoch(train) [133][1840/1879] lr: 1.0000e-03 eta: 18:16:21 time: 0.2849 data_time: 0.0223 memory: 8198 grad_norm: 6.6092 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0941 loss: 1.0941 2022/08/03 10:32:16 - mmengine - INFO - Epoch(train) [133][1860/1879] lr: 1.0000e-03 eta: 18:16:16 time: 0.2838 data_time: 0.0254 memory: 8198 grad_norm: 6.6994 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0297 loss: 1.0297 2022/08/03 10:32:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:32:22 - mmengine - INFO - Epoch(train) [133][1879/1879] lr: 1.0000e-03 eta: 18:16:16 time: 0.2779 data_time: 0.0151 memory: 8198 grad_norm: 6.8826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1620 loss: 1.1620 2022/08/03 10:32:30 - mmengine - INFO - Epoch(train) [134][20/1879] lr: 1.0000e-03 eta: 18:16:02 time: 0.4026 data_time: 0.1073 memory: 8198 grad_norm: 6.5654 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2097 loss: 1.2097 2022/08/03 10:32:36 - mmengine - INFO - Epoch(train) [134][40/1879] lr: 1.0000e-03 eta: 18:15:56 time: 0.2991 data_time: 0.0240 memory: 8198 grad_norm: 6.4112 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9765 loss: 0.9765 2022/08/03 10:32:41 - mmengine - INFO - Epoch(train) [134][60/1879] lr: 1.0000e-03 eta: 18:15:51 time: 0.2876 data_time: 0.0199 memory: 8198 grad_norm: 6.6292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1952 loss: 1.1952 2022/08/03 10:32:47 - mmengine - INFO - Epoch(train) [134][80/1879] lr: 1.0000e-03 eta: 18:15:45 time: 0.2854 data_time: 0.0255 memory: 8198 grad_norm: 6.4915 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0220 loss: 1.0220 2022/08/03 10:32:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:32:53 - mmengine - INFO - Epoch(train) [134][100/1879] lr: 1.0000e-03 eta: 18:15:39 time: 0.2945 data_time: 0.0234 memory: 8198 grad_norm: 6.3915 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0432 loss: 1.0432 2022/08/03 10:32:59 - mmengine - INFO - Epoch(train) [134][120/1879] lr: 1.0000e-03 eta: 18:15:34 time: 0.2817 data_time: 0.0228 memory: 8198 grad_norm: 6.5593 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1780 loss: 1.1780 2022/08/03 10:33:05 - mmengine - INFO - Epoch(train) [134][140/1879] lr: 1.0000e-03 eta: 18:15:28 time: 0.2866 data_time: 0.0231 memory: 8198 grad_norm: 6.5735 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1525 loss: 1.1525 2022/08/03 10:33:10 - mmengine - INFO - Epoch(train) [134][160/1879] lr: 1.0000e-03 eta: 18:15:23 time: 0.2928 data_time: 0.0281 memory: 8198 grad_norm: 6.4254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0379 loss: 1.0379 2022/08/03 10:33:16 - mmengine - INFO - Epoch(train) [134][180/1879] lr: 1.0000e-03 eta: 18:15:17 time: 0.2841 data_time: 0.0210 memory: 8198 grad_norm: 6.4417 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8606 loss: 0.8606 2022/08/03 10:33:22 - mmengine - INFO - Epoch(train) [134][200/1879] lr: 1.0000e-03 eta: 18:15:11 time: 0.2828 data_time: 0.0216 memory: 8198 grad_norm: 6.6230 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0282 loss: 1.0282 2022/08/03 10:33:27 - mmengine - INFO - Epoch(train) [134][220/1879] lr: 1.0000e-03 eta: 18:15:05 time: 0.2863 data_time: 0.0269 memory: 8198 grad_norm: 6.5468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2916 loss: 1.2916 2022/08/03 10:33:33 - mmengine - INFO - Epoch(train) [134][240/1879] lr: 1.0000e-03 eta: 18:15:00 time: 0.2873 data_time: 0.0306 memory: 8198 grad_norm: 6.6617 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0856 loss: 1.0856 2022/08/03 10:33:39 - mmengine - INFO - Epoch(train) [134][260/1879] lr: 1.0000e-03 eta: 18:14:54 time: 0.2840 data_time: 0.0247 memory: 8198 grad_norm: 6.6317 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2417 loss: 1.2417 2022/08/03 10:33:45 - mmengine - INFO - Epoch(train) [134][280/1879] lr: 1.0000e-03 eta: 18:14:48 time: 0.2850 data_time: 0.0245 memory: 8198 grad_norm: 6.5695 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/08/03 10:33:50 - mmengine - INFO - Epoch(train) [134][300/1879] lr: 1.0000e-03 eta: 18:14:43 time: 0.2838 data_time: 0.0205 memory: 8198 grad_norm: 6.4614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1397 loss: 1.1397 2022/08/03 10:33:56 - mmengine - INFO - Epoch(train) [134][320/1879] lr: 1.0000e-03 eta: 18:14:37 time: 0.2819 data_time: 0.0172 memory: 8198 grad_norm: 6.6867 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/08/03 10:34:02 - mmengine - INFO - Epoch(train) [134][340/1879] lr: 1.0000e-03 eta: 18:14:31 time: 0.2839 data_time: 0.0222 memory: 8198 grad_norm: 6.8997 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9572 loss: 0.9572 2022/08/03 10:34:07 - mmengine - INFO - Epoch(train) [134][360/1879] lr: 1.0000e-03 eta: 18:14:26 time: 0.2856 data_time: 0.0204 memory: 8198 grad_norm: 6.7816 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1357 loss: 1.1357 2022/08/03 10:34:13 - mmengine - INFO - Epoch(train) [134][380/1879] lr: 1.0000e-03 eta: 18:14:20 time: 0.2846 data_time: 0.0211 memory: 8198 grad_norm: 6.5791 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2531 loss: 1.2531 2022/08/03 10:34:19 - mmengine - INFO - Epoch(train) [134][400/1879] lr: 1.0000e-03 eta: 18:14:14 time: 0.2836 data_time: 0.0214 memory: 8198 grad_norm: 6.6251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/08/03 10:34:25 - mmengine - INFO - Epoch(train) [134][420/1879] lr: 1.0000e-03 eta: 18:14:08 time: 0.2844 data_time: 0.0240 memory: 8198 grad_norm: 6.5286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1025 loss: 1.1025 2022/08/03 10:34:30 - mmengine - INFO - Epoch(train) [134][440/1879] lr: 1.0000e-03 eta: 18:14:03 time: 0.2818 data_time: 0.0180 memory: 8198 grad_norm: 6.6747 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1371 loss: 1.1371 2022/08/03 10:34:36 - mmengine - INFO - Epoch(train) [134][460/1879] lr: 1.0000e-03 eta: 18:13:57 time: 0.2826 data_time: 0.0237 memory: 8198 grad_norm: 6.6714 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/08/03 10:34:42 - mmengine - INFO - Epoch(train) [134][480/1879] lr: 1.0000e-03 eta: 18:13:51 time: 0.2833 data_time: 0.0172 memory: 8198 grad_norm: 6.5520 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9535 loss: 0.9535 2022/08/03 10:34:47 - mmengine - INFO - Epoch(train) [134][500/1879] lr: 1.0000e-03 eta: 18:13:46 time: 0.2888 data_time: 0.0269 memory: 8198 grad_norm: 6.7387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/08/03 10:34:53 - mmengine - INFO - Epoch(train) [134][520/1879] lr: 1.0000e-03 eta: 18:13:40 time: 0.2831 data_time: 0.0211 memory: 8198 grad_norm: 6.5305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0122 loss: 1.0122 2022/08/03 10:34:59 - mmengine - INFO - Epoch(train) [134][540/1879] lr: 1.0000e-03 eta: 18:13:34 time: 0.2863 data_time: 0.0239 memory: 8198 grad_norm: 6.8450 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0465 loss: 1.0465 2022/08/03 10:35:05 - mmengine - INFO - Epoch(train) [134][560/1879] lr: 1.0000e-03 eta: 18:13:29 time: 0.2839 data_time: 0.0197 memory: 8198 grad_norm: 6.5768 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0799 loss: 1.0799 2022/08/03 10:35:10 - mmengine - INFO - Epoch(train) [134][580/1879] lr: 1.0000e-03 eta: 18:13:23 time: 0.2855 data_time: 0.0258 memory: 8198 grad_norm: 6.6289 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1860 loss: 1.1860 2022/08/03 10:35:16 - mmengine - INFO - Epoch(train) [134][600/1879] lr: 1.0000e-03 eta: 18:13:17 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 6.5570 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1386 loss: 1.1386 2022/08/03 10:35:22 - mmengine - INFO - Epoch(train) [134][620/1879] lr: 1.0000e-03 eta: 18:13:12 time: 0.2889 data_time: 0.0256 memory: 8198 grad_norm: 6.3803 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0208 loss: 1.0208 2022/08/03 10:35:28 - mmengine - INFO - Epoch(train) [134][640/1879] lr: 1.0000e-03 eta: 18:13:06 time: 0.2911 data_time: 0.0290 memory: 8198 grad_norm: 6.4655 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0947 loss: 1.0947 2022/08/03 10:35:33 - mmengine - INFO - Epoch(train) [134][660/1879] lr: 1.0000e-03 eta: 18:13:00 time: 0.2873 data_time: 0.0252 memory: 8198 grad_norm: 6.5275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2283 loss: 1.2283 2022/08/03 10:35:39 - mmengine - INFO - Epoch(train) [134][680/1879] lr: 1.0000e-03 eta: 18:12:55 time: 0.2846 data_time: 0.0242 memory: 8198 grad_norm: 6.4526 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0390 loss: 1.0390 2022/08/03 10:35:45 - mmengine - INFO - Epoch(train) [134][700/1879] lr: 1.0000e-03 eta: 18:12:49 time: 0.2856 data_time: 0.0251 memory: 8198 grad_norm: 6.4440 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0213 loss: 1.0213 2022/08/03 10:35:51 - mmengine - INFO - Epoch(train) [134][720/1879] lr: 1.0000e-03 eta: 18:12:43 time: 0.2828 data_time: 0.0249 memory: 8198 grad_norm: 6.5840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/08/03 10:35:56 - mmengine - INFO - Epoch(train) [134][740/1879] lr: 1.0000e-03 eta: 18:12:38 time: 0.2885 data_time: 0.0258 memory: 8198 grad_norm: 6.6384 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0782 loss: 1.0782 2022/08/03 10:36:02 - mmengine - INFO - Epoch(train) [134][760/1879] lr: 1.0000e-03 eta: 18:12:32 time: 0.2840 data_time: 0.0234 memory: 8198 grad_norm: 6.9072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1166 loss: 1.1166 2022/08/03 10:36:08 - mmengine - INFO - Epoch(train) [134][780/1879] lr: 1.0000e-03 eta: 18:12:26 time: 0.2860 data_time: 0.0251 memory: 8198 grad_norm: 6.5969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/08/03 10:36:13 - mmengine - INFO - Epoch(train) [134][800/1879] lr: 1.0000e-03 eta: 18:12:21 time: 0.2823 data_time: 0.0191 memory: 8198 grad_norm: 6.5722 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9293 loss: 0.9293 2022/08/03 10:36:19 - mmengine - INFO - Epoch(train) [134][820/1879] lr: 1.0000e-03 eta: 18:12:15 time: 0.2838 data_time: 0.0230 memory: 8198 grad_norm: 6.3640 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0540 loss: 1.0540 2022/08/03 10:36:25 - mmengine - INFO - Epoch(train) [134][840/1879] lr: 1.0000e-03 eta: 18:12:09 time: 0.2856 data_time: 0.0213 memory: 8198 grad_norm: 6.6752 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2033 loss: 1.2033 2022/08/03 10:36:31 - mmengine - INFO - Epoch(train) [134][860/1879] lr: 1.0000e-03 eta: 18:12:04 time: 0.2937 data_time: 0.0210 memory: 8198 grad_norm: 6.5879 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9854 loss: 0.9854 2022/08/03 10:36:36 - mmengine - INFO - Epoch(train) [134][880/1879] lr: 1.0000e-03 eta: 18:11:58 time: 0.2870 data_time: 0.0217 memory: 8198 grad_norm: 6.4636 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1140 loss: 1.1140 2022/08/03 10:36:42 - mmengine - INFO - Epoch(train) [134][900/1879] lr: 1.0000e-03 eta: 18:11:53 time: 0.2916 data_time: 0.0232 memory: 8198 grad_norm: 6.7895 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1986 loss: 1.1986 2022/08/03 10:36:48 - mmengine - INFO - Epoch(train) [134][920/1879] lr: 1.0000e-03 eta: 18:11:47 time: 0.2819 data_time: 0.0220 memory: 8198 grad_norm: 6.7315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0732 loss: 1.0732 2022/08/03 10:36:54 - mmengine - INFO - Epoch(train) [134][940/1879] lr: 1.0000e-03 eta: 18:11:41 time: 0.2850 data_time: 0.0196 memory: 8198 grad_norm: 6.6752 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/08/03 10:36:59 - mmengine - INFO - Epoch(train) [134][960/1879] lr: 1.0000e-03 eta: 18:11:35 time: 0.2844 data_time: 0.0240 memory: 8198 grad_norm: 6.4323 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0592 loss: 1.0592 2022/08/03 10:37:05 - mmengine - INFO - Epoch(train) [134][980/1879] lr: 1.0000e-03 eta: 18:11:30 time: 0.2868 data_time: 0.0183 memory: 8198 grad_norm: 6.5770 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0570 loss: 1.0570 2022/08/03 10:37:11 - mmengine - INFO - Epoch(train) [134][1000/1879] lr: 1.0000e-03 eta: 18:11:24 time: 0.2947 data_time: 0.0260 memory: 8198 grad_norm: 6.4791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/08/03 10:37:17 - mmengine - INFO - Epoch(train) [134][1020/1879] lr: 1.0000e-03 eta: 18:11:18 time: 0.2821 data_time: 0.0219 memory: 8198 grad_norm: 6.6052 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.1784 loss: 1.1784 2022/08/03 10:37:22 - mmengine - INFO - Epoch(train) [134][1040/1879] lr: 1.0000e-03 eta: 18:11:13 time: 0.2860 data_time: 0.0251 memory: 8198 grad_norm: 6.8356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2207 loss: 1.2207 2022/08/03 10:37:28 - mmengine - INFO - Epoch(train) [134][1060/1879] lr: 1.0000e-03 eta: 18:11:07 time: 0.2825 data_time: 0.0197 memory: 8198 grad_norm: 6.6911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9778 loss: 0.9778 2022/08/03 10:37:34 - mmengine - INFO - Epoch(train) [134][1080/1879] lr: 1.0000e-03 eta: 18:11:01 time: 0.2848 data_time: 0.0197 memory: 8198 grad_norm: 6.5606 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0041 loss: 1.0041 2022/08/03 10:37:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:37:40 - mmengine - INFO - Epoch(train) [134][1100/1879] lr: 1.0000e-03 eta: 18:10:56 time: 0.2840 data_time: 0.0237 memory: 8198 grad_norm: 6.7208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2502 loss: 1.2502 2022/08/03 10:37:46 - mmengine - INFO - Epoch(train) [134][1120/1879] lr: 1.0000e-03 eta: 18:10:50 time: 0.2978 data_time: 0.0362 memory: 8198 grad_norm: 6.5912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1811 loss: 1.1811 2022/08/03 10:37:51 - mmengine - INFO - Epoch(train) [134][1140/1879] lr: 1.0000e-03 eta: 18:10:45 time: 0.2856 data_time: 0.0202 memory: 8198 grad_norm: 6.8142 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1560 loss: 1.1560 2022/08/03 10:37:57 - mmengine - INFO - Epoch(train) [134][1160/1879] lr: 1.0000e-03 eta: 18:10:39 time: 0.2839 data_time: 0.0237 memory: 8198 grad_norm: 6.7034 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1259 loss: 1.1259 2022/08/03 10:38:03 - mmengine - INFO - Epoch(train) [134][1180/1879] lr: 1.0000e-03 eta: 18:10:33 time: 0.2868 data_time: 0.0227 memory: 8198 grad_norm: 6.6682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/08/03 10:38:09 - mmengine - INFO - Epoch(train) [134][1200/1879] lr: 1.0000e-03 eta: 18:10:28 time: 0.3288 data_time: 0.0230 memory: 8198 grad_norm: 6.7202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1018 loss: 1.1018 2022/08/03 10:38:15 - mmengine - INFO - Epoch(train) [134][1220/1879] lr: 1.0000e-03 eta: 18:10:23 time: 0.2927 data_time: 0.0325 memory: 8198 grad_norm: 6.6659 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1535 loss: 1.1535 2022/08/03 10:38:21 - mmengine - INFO - Epoch(train) [134][1240/1879] lr: 1.0000e-03 eta: 18:10:17 time: 0.2851 data_time: 0.0230 memory: 8198 grad_norm: 6.7380 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9734 loss: 0.9734 2022/08/03 10:38:27 - mmengine - INFO - Epoch(train) [134][1260/1879] lr: 1.0000e-03 eta: 18:10:11 time: 0.2849 data_time: 0.0217 memory: 8198 grad_norm: 6.7727 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0097 loss: 1.0097 2022/08/03 10:38:33 - mmengine - INFO - Epoch(train) [134][1280/1879] lr: 1.0000e-03 eta: 18:10:06 time: 0.2973 data_time: 0.0215 memory: 8198 grad_norm: 6.5130 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9729 loss: 0.9729 2022/08/03 10:38:38 - mmengine - INFO - Epoch(train) [134][1300/1879] lr: 1.0000e-03 eta: 18:10:00 time: 0.2854 data_time: 0.0259 memory: 8198 grad_norm: 6.6090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/08/03 10:38:44 - mmengine - INFO - Epoch(train) [134][1320/1879] lr: 1.0000e-03 eta: 18:09:55 time: 0.2833 data_time: 0.0213 memory: 8198 grad_norm: 6.5489 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9994 loss: 0.9994 2022/08/03 10:38:50 - mmengine - INFO - Epoch(train) [134][1340/1879] lr: 1.0000e-03 eta: 18:09:49 time: 0.2854 data_time: 0.0222 memory: 8198 grad_norm: 6.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0945 loss: 1.0945 2022/08/03 10:38:55 - mmengine - INFO - Epoch(train) [134][1360/1879] lr: 1.0000e-03 eta: 18:09:43 time: 0.2869 data_time: 0.0215 memory: 8198 grad_norm: 6.7359 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/08/03 10:39:01 - mmengine - INFO - Epoch(train) [134][1380/1879] lr: 1.0000e-03 eta: 18:09:38 time: 0.2869 data_time: 0.0208 memory: 8198 grad_norm: 6.5642 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0541 loss: 1.0541 2022/08/03 10:39:07 - mmengine - INFO - Epoch(train) [134][1400/1879] lr: 1.0000e-03 eta: 18:09:32 time: 0.2815 data_time: 0.0201 memory: 8198 grad_norm: 6.6594 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9698 loss: 0.9698 2022/08/03 10:39:13 - mmengine - INFO - Epoch(train) [134][1420/1879] lr: 1.0000e-03 eta: 18:09:26 time: 0.2856 data_time: 0.0260 memory: 8198 grad_norm: 6.6954 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0794 loss: 1.0794 2022/08/03 10:39:18 - mmengine - INFO - Epoch(train) [134][1440/1879] lr: 1.0000e-03 eta: 18:09:20 time: 0.2831 data_time: 0.0240 memory: 8198 grad_norm: 6.7290 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9468 loss: 0.9468 2022/08/03 10:39:24 - mmengine - INFO - Epoch(train) [134][1460/1879] lr: 1.0000e-03 eta: 18:09:15 time: 0.2917 data_time: 0.0252 memory: 8198 grad_norm: 6.6885 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0873 loss: 1.0873 2022/08/03 10:39:30 - mmengine - INFO - Epoch(train) [134][1480/1879] lr: 1.0000e-03 eta: 18:09:09 time: 0.2916 data_time: 0.0210 memory: 8198 grad_norm: 6.7684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0374 loss: 1.0374 2022/08/03 10:39:36 - mmengine - INFO - Epoch(train) [134][1500/1879] lr: 1.0000e-03 eta: 18:09:04 time: 0.2814 data_time: 0.0200 memory: 8198 grad_norm: 6.6763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1262 loss: 1.1262 2022/08/03 10:39:41 - mmengine - INFO - Epoch(train) [134][1520/1879] lr: 1.0000e-03 eta: 18:08:58 time: 0.2848 data_time: 0.0212 memory: 8198 grad_norm: 6.7323 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0360 loss: 1.0360 2022/08/03 10:39:47 - mmengine - INFO - Epoch(train) [134][1540/1879] lr: 1.0000e-03 eta: 18:08:52 time: 0.2851 data_time: 0.0209 memory: 8198 grad_norm: 6.8045 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0366 loss: 1.0366 2022/08/03 10:39:53 - mmengine - INFO - Epoch(train) [134][1560/1879] lr: 1.0000e-03 eta: 18:08:47 time: 0.2891 data_time: 0.0199 memory: 8198 grad_norm: 6.7152 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1764 loss: 1.1764 2022/08/03 10:39:59 - mmengine - INFO - Epoch(train) [134][1580/1879] lr: 1.0000e-03 eta: 18:08:41 time: 0.2848 data_time: 0.0244 memory: 8198 grad_norm: 6.7239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/08/03 10:40:04 - mmengine - INFO - Epoch(train) [134][1600/1879] lr: 1.0000e-03 eta: 18:08:35 time: 0.2832 data_time: 0.0263 memory: 8198 grad_norm: 6.6749 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0383 loss: 1.0383 2022/08/03 10:40:10 - mmengine - INFO - Epoch(train) [134][1620/1879] lr: 1.0000e-03 eta: 18:08:30 time: 0.2852 data_time: 0.0202 memory: 8198 grad_norm: 6.8629 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0290 loss: 1.0290 2022/08/03 10:40:16 - mmengine - INFO - Epoch(train) [134][1640/1879] lr: 1.0000e-03 eta: 18:08:24 time: 0.2841 data_time: 0.0223 memory: 8198 grad_norm: 6.6354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2422 loss: 1.2422 2022/08/03 10:40:22 - mmengine - INFO - Epoch(train) [134][1660/1879] lr: 1.0000e-03 eta: 18:08:18 time: 0.2918 data_time: 0.0206 memory: 8198 grad_norm: 6.5673 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1986 loss: 1.1986 2022/08/03 10:40:27 - mmengine - INFO - Epoch(train) [134][1680/1879] lr: 1.0000e-03 eta: 18:08:13 time: 0.2801 data_time: 0.0205 memory: 8198 grad_norm: 6.8366 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9505 loss: 0.9505 2022/08/03 10:40:33 - mmengine - INFO - Epoch(train) [134][1700/1879] lr: 1.0000e-03 eta: 18:08:07 time: 0.2825 data_time: 0.0208 memory: 8198 grad_norm: 6.6913 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2025 loss: 1.2025 2022/08/03 10:40:39 - mmengine - INFO - Epoch(train) [134][1720/1879] lr: 1.0000e-03 eta: 18:08:01 time: 0.2816 data_time: 0.0198 memory: 8198 grad_norm: 6.6083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/08/03 10:40:45 - mmengine - INFO - Epoch(train) [134][1740/1879] lr: 1.0000e-03 eta: 18:07:56 time: 0.3023 data_time: 0.0206 memory: 8198 grad_norm: 6.7034 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0714 loss: 1.0714 2022/08/03 10:40:50 - mmengine - INFO - Epoch(train) [134][1760/1879] lr: 1.0000e-03 eta: 18:07:50 time: 0.2916 data_time: 0.0185 memory: 8198 grad_norm: 6.6695 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/08/03 10:40:56 - mmengine - INFO - Epoch(train) [134][1780/1879] lr: 1.0000e-03 eta: 18:07:44 time: 0.2805 data_time: 0.0212 memory: 8198 grad_norm: 6.8747 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1520 loss: 1.1520 2022/08/03 10:41:02 - mmengine - INFO - Epoch(train) [134][1800/1879] lr: 1.0000e-03 eta: 18:07:39 time: 0.2838 data_time: 0.0204 memory: 8198 grad_norm: 6.8089 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2429 loss: 1.2429 2022/08/03 10:41:07 - mmengine - INFO - Epoch(train) [134][1820/1879] lr: 1.0000e-03 eta: 18:07:33 time: 0.2843 data_time: 0.0249 memory: 8198 grad_norm: 6.5819 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9869 loss: 0.9869 2022/08/03 10:41:13 - mmengine - INFO - Epoch(train) [134][1840/1879] lr: 1.0000e-03 eta: 18:07:27 time: 0.2828 data_time: 0.0198 memory: 8198 grad_norm: 6.6315 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9622 loss: 0.9622 2022/08/03 10:41:19 - mmengine - INFO - Epoch(train) [134][1860/1879] lr: 1.0000e-03 eta: 18:07:22 time: 0.2847 data_time: 0.0199 memory: 8198 grad_norm: 6.7711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1547 loss: 1.1547 2022/08/03 10:41:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:41:24 - mmengine - INFO - Epoch(train) [134][1879/1879] lr: 1.0000e-03 eta: 18:07:22 time: 0.2710 data_time: 0.0126 memory: 8198 grad_norm: 6.4937 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0287 loss: 1.0287 2022/08/03 10:41:32 - mmengine - INFO - Epoch(train) [135][20/1879] lr: 1.0000e-03 eta: 18:07:08 time: 0.4023 data_time: 0.1238 memory: 8198 grad_norm: 6.2453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/08/03 10:41:38 - mmengine - INFO - Epoch(train) [135][40/1879] lr: 1.0000e-03 eta: 18:07:02 time: 0.2869 data_time: 0.0200 memory: 8198 grad_norm: 6.4539 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0050 loss: 1.0050 2022/08/03 10:41:44 - mmengine - INFO - Epoch(train) [135][60/1879] lr: 1.0000e-03 eta: 18:06:56 time: 0.2937 data_time: 0.0243 memory: 8198 grad_norm: 6.6464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8633 loss: 0.8633 2022/08/03 10:41:50 - mmengine - INFO - Epoch(train) [135][80/1879] lr: 1.0000e-03 eta: 18:06:51 time: 0.2864 data_time: 0.0211 memory: 8198 grad_norm: 6.4384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/08/03 10:41:55 - mmengine - INFO - Epoch(train) [135][100/1879] lr: 1.0000e-03 eta: 18:06:45 time: 0.2945 data_time: 0.0261 memory: 8198 grad_norm: 6.4480 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2610 loss: 1.2610 2022/08/03 10:42:01 - mmengine - INFO - Epoch(train) [135][120/1879] lr: 1.0000e-03 eta: 18:06:40 time: 0.2839 data_time: 0.0194 memory: 8198 grad_norm: 6.4170 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9592 loss: 0.9592 2022/08/03 10:42:07 - mmengine - INFO - Epoch(train) [135][140/1879] lr: 1.0000e-03 eta: 18:06:34 time: 0.2888 data_time: 0.0269 memory: 8198 grad_norm: 6.5205 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0758 loss: 1.0758 2022/08/03 10:42:13 - mmengine - INFO - Epoch(train) [135][160/1879] lr: 1.0000e-03 eta: 18:06:28 time: 0.2902 data_time: 0.0223 memory: 8198 grad_norm: 6.6709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2313 loss: 1.2313 2022/08/03 10:42:19 - mmengine - INFO - Epoch(train) [135][180/1879] lr: 1.0000e-03 eta: 18:06:23 time: 0.2859 data_time: 0.0235 memory: 8198 grad_norm: 6.4191 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/08/03 10:42:24 - mmengine - INFO - Epoch(train) [135][200/1879] lr: 1.0000e-03 eta: 18:06:17 time: 0.2841 data_time: 0.0249 memory: 8198 grad_norm: 6.5148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9200 loss: 0.9200 2022/08/03 10:42:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:42:30 - mmengine - INFO - Epoch(train) [135][220/1879] lr: 1.0000e-03 eta: 18:06:11 time: 0.2847 data_time: 0.0253 memory: 8198 grad_norm: 6.5161 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/08/03 10:42:36 - mmengine - INFO - Epoch(train) [135][240/1879] lr: 1.0000e-03 eta: 18:06:06 time: 0.2920 data_time: 0.0237 memory: 8198 grad_norm: 6.6918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/08/03 10:42:42 - mmengine - INFO - Epoch(train) [135][260/1879] lr: 1.0000e-03 eta: 18:06:00 time: 0.2867 data_time: 0.0202 memory: 8198 grad_norm: 6.6691 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/03 10:42:47 - mmengine - INFO - Epoch(train) [135][280/1879] lr: 1.0000e-03 eta: 18:05:54 time: 0.2861 data_time: 0.0271 memory: 8198 grad_norm: 6.5088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/08/03 10:42:53 - mmengine - INFO - Epoch(train) [135][300/1879] lr: 1.0000e-03 eta: 18:05:49 time: 0.2877 data_time: 0.0282 memory: 8198 grad_norm: 6.5575 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1681 loss: 1.1681 2022/08/03 10:42:59 - mmengine - INFO - Epoch(train) [135][320/1879] lr: 1.0000e-03 eta: 18:05:43 time: 0.2826 data_time: 0.0196 memory: 8198 grad_norm: 6.7648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1555 loss: 1.1555 2022/08/03 10:43:05 - mmengine - INFO - Epoch(train) [135][340/1879] lr: 1.0000e-03 eta: 18:05:37 time: 0.2870 data_time: 0.0233 memory: 8198 grad_norm: 6.5911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0779 loss: 1.0779 2022/08/03 10:43:10 - mmengine - INFO - Epoch(train) [135][360/1879] lr: 1.0000e-03 eta: 18:05:32 time: 0.2946 data_time: 0.0244 memory: 8198 grad_norm: 6.6454 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2723 loss: 1.2723 2022/08/03 10:43:16 - mmengine - INFO - Epoch(train) [135][380/1879] lr: 1.0000e-03 eta: 18:05:26 time: 0.2821 data_time: 0.0234 memory: 8198 grad_norm: 6.6034 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9775 loss: 0.9775 2022/08/03 10:43:22 - mmengine - INFO - Epoch(train) [135][400/1879] lr: 1.0000e-03 eta: 18:05:20 time: 0.2817 data_time: 0.0190 memory: 8198 grad_norm: 6.6753 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9265 loss: 0.9265 2022/08/03 10:43:27 - mmengine - INFO - Epoch(train) [135][420/1879] lr: 1.0000e-03 eta: 18:05:15 time: 0.2841 data_time: 0.0219 memory: 8198 grad_norm: 6.7870 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8611 loss: 0.8611 2022/08/03 10:43:33 - mmengine - INFO - Epoch(train) [135][440/1879] lr: 1.0000e-03 eta: 18:05:09 time: 0.2871 data_time: 0.0204 memory: 8198 grad_norm: 6.8450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1178 loss: 1.1178 2022/08/03 10:43:39 - mmengine - INFO - Epoch(train) [135][460/1879] lr: 1.0000e-03 eta: 18:05:04 time: 0.2883 data_time: 0.0288 memory: 8198 grad_norm: 6.8391 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0457 loss: 1.0457 2022/08/03 10:43:45 - mmengine - INFO - Epoch(train) [135][480/1879] lr: 1.0000e-03 eta: 18:04:58 time: 0.2824 data_time: 0.0188 memory: 8198 grad_norm: 6.5488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9274 loss: 0.9274 2022/08/03 10:43:50 - mmengine - INFO - Epoch(train) [135][500/1879] lr: 1.0000e-03 eta: 18:04:52 time: 0.2886 data_time: 0.0246 memory: 8198 grad_norm: 6.6278 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1163 loss: 1.1163 2022/08/03 10:43:56 - mmengine - INFO - Epoch(train) [135][520/1879] lr: 1.0000e-03 eta: 18:04:46 time: 0.2820 data_time: 0.0204 memory: 8198 grad_norm: 6.5762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0047 loss: 1.0047 2022/08/03 10:44:02 - mmengine - INFO - Epoch(train) [135][540/1879] lr: 1.0000e-03 eta: 18:04:41 time: 0.2841 data_time: 0.0270 memory: 8198 grad_norm: 6.7751 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0896 loss: 1.0896 2022/08/03 10:44:07 - mmengine - INFO - Epoch(train) [135][560/1879] lr: 1.0000e-03 eta: 18:04:35 time: 0.2834 data_time: 0.0185 memory: 8198 grad_norm: 6.7996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2018 loss: 1.2018 2022/08/03 10:44:13 - mmengine - INFO - Epoch(train) [135][580/1879] lr: 1.0000e-03 eta: 18:04:29 time: 0.2856 data_time: 0.0245 memory: 8198 grad_norm: 6.4866 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1011 loss: 1.1011 2022/08/03 10:44:19 - mmengine - INFO - Epoch(train) [135][600/1879] lr: 1.0000e-03 eta: 18:04:24 time: 0.2873 data_time: 0.0213 memory: 8198 grad_norm: 6.5223 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1169 loss: 1.1169 2022/08/03 10:44:25 - mmengine - INFO - Epoch(train) [135][620/1879] lr: 1.0000e-03 eta: 18:04:18 time: 0.2887 data_time: 0.0193 memory: 8198 grad_norm: 6.5365 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0777 loss: 1.0777 2022/08/03 10:44:31 - mmengine - INFO - Epoch(train) [135][640/1879] lr: 1.0000e-03 eta: 18:04:12 time: 0.2855 data_time: 0.0224 memory: 8198 grad_norm: 6.9774 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1475 loss: 1.1475 2022/08/03 10:44:36 - mmengine - INFO - Epoch(train) [135][660/1879] lr: 1.0000e-03 eta: 18:04:07 time: 0.2816 data_time: 0.0211 memory: 8198 grad_norm: 6.7172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0259 loss: 1.0259 2022/08/03 10:44:42 - mmengine - INFO - Epoch(train) [135][680/1879] lr: 1.0000e-03 eta: 18:04:01 time: 0.2851 data_time: 0.0241 memory: 8198 grad_norm: 6.6514 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0427 loss: 1.0427 2022/08/03 10:44:48 - mmengine - INFO - Epoch(train) [135][700/1879] lr: 1.0000e-03 eta: 18:03:55 time: 0.2872 data_time: 0.0228 memory: 8198 grad_norm: 6.5854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0980 loss: 1.0980 2022/08/03 10:44:53 - mmengine - INFO - Epoch(train) [135][720/1879] lr: 1.0000e-03 eta: 18:03:50 time: 0.2818 data_time: 0.0192 memory: 8198 grad_norm: 6.8712 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2095 loss: 1.2095 2022/08/03 10:44:59 - mmengine - INFO - Epoch(train) [135][740/1879] lr: 1.0000e-03 eta: 18:03:44 time: 0.2841 data_time: 0.0231 memory: 8198 grad_norm: 6.6986 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1071 loss: 1.1071 2022/08/03 10:45:05 - mmengine - INFO - Epoch(train) [135][760/1879] lr: 1.0000e-03 eta: 18:03:38 time: 0.2844 data_time: 0.0269 memory: 8198 grad_norm: 6.6317 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/08/03 10:45:10 - mmengine - INFO - Epoch(train) [135][780/1879] lr: 1.0000e-03 eta: 18:03:33 time: 0.2881 data_time: 0.0300 memory: 8198 grad_norm: 6.9272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1353 loss: 1.1353 2022/08/03 10:45:16 - mmengine - INFO - Epoch(train) [135][800/1879] lr: 1.0000e-03 eta: 18:03:27 time: 0.2829 data_time: 0.0212 memory: 8198 grad_norm: 6.8399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1386 loss: 1.1386 2022/08/03 10:45:22 - mmengine - INFO - Epoch(train) [135][820/1879] lr: 1.0000e-03 eta: 18:03:21 time: 0.2856 data_time: 0.0267 memory: 8198 grad_norm: 6.6420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1291 loss: 1.1291 2022/08/03 10:45:28 - mmengine - INFO - Epoch(train) [135][840/1879] lr: 1.0000e-03 eta: 18:03:16 time: 0.2860 data_time: 0.0272 memory: 8198 grad_norm: 6.7294 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9895 loss: 0.9895 2022/08/03 10:45:33 - mmengine - INFO - Epoch(train) [135][860/1879] lr: 1.0000e-03 eta: 18:03:10 time: 0.2855 data_time: 0.0213 memory: 8198 grad_norm: 6.4775 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0799 loss: 1.0799 2022/08/03 10:45:39 - mmengine - INFO - Epoch(train) [135][880/1879] lr: 1.0000e-03 eta: 18:03:04 time: 0.2824 data_time: 0.0238 memory: 8198 grad_norm: 6.5783 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0856 loss: 1.0856 2022/08/03 10:45:45 - mmengine - INFO - Epoch(train) [135][900/1879] lr: 1.0000e-03 eta: 18:02:59 time: 0.2982 data_time: 0.0258 memory: 8198 grad_norm: 6.6342 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0227 loss: 1.0227 2022/08/03 10:45:51 - mmengine - INFO - Epoch(train) [135][920/1879] lr: 1.0000e-03 eta: 18:02:53 time: 0.2810 data_time: 0.0198 memory: 8198 grad_norm: 6.6189 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0656 loss: 1.0656 2022/08/03 10:45:56 - mmengine - INFO - Epoch(train) [135][940/1879] lr: 1.0000e-03 eta: 18:02:47 time: 0.2825 data_time: 0.0192 memory: 8198 grad_norm: 6.6832 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1202 loss: 1.1202 2022/08/03 10:46:02 - mmengine - INFO - Epoch(train) [135][960/1879] lr: 1.0000e-03 eta: 18:02:42 time: 0.2861 data_time: 0.0252 memory: 8198 grad_norm: 6.7204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9973 loss: 0.9973 2022/08/03 10:46:08 - mmengine - INFO - Epoch(train) [135][980/1879] lr: 1.0000e-03 eta: 18:02:36 time: 0.2806 data_time: 0.0225 memory: 8198 grad_norm: 6.7192 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2412 loss: 1.2412 2022/08/03 10:46:13 - mmengine - INFO - Epoch(train) [135][1000/1879] lr: 1.0000e-03 eta: 18:02:30 time: 0.2855 data_time: 0.0241 memory: 8198 grad_norm: 6.6556 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1882 loss: 1.1882 2022/08/03 10:46:19 - mmengine - INFO - Epoch(train) [135][1020/1879] lr: 1.0000e-03 eta: 18:02:24 time: 0.2845 data_time: 0.0209 memory: 8198 grad_norm: 6.6347 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3222 loss: 1.3222 2022/08/03 10:46:25 - mmengine - INFO - Epoch(train) [135][1040/1879] lr: 1.0000e-03 eta: 18:02:19 time: 0.2872 data_time: 0.0224 memory: 8198 grad_norm: 6.6583 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0904 loss: 1.0904 2022/08/03 10:46:31 - mmengine - INFO - Epoch(train) [135][1060/1879] lr: 1.0000e-03 eta: 18:02:13 time: 0.2791 data_time: 0.0202 memory: 8198 grad_norm: 6.7007 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0655 loss: 1.0655 2022/08/03 10:46:36 - mmengine - INFO - Epoch(train) [135][1080/1879] lr: 1.0000e-03 eta: 18:02:07 time: 0.2831 data_time: 0.0205 memory: 8198 grad_norm: 6.7285 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0063 loss: 1.0063 2022/08/03 10:46:42 - mmengine - INFO - Epoch(train) [135][1100/1879] lr: 1.0000e-03 eta: 18:02:02 time: 0.2979 data_time: 0.0277 memory: 8198 grad_norm: 6.5322 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0815 loss: 1.0815 2022/08/03 10:46:48 - mmengine - INFO - Epoch(train) [135][1120/1879] lr: 1.0000e-03 eta: 18:01:56 time: 0.2849 data_time: 0.0248 memory: 8198 grad_norm: 6.5770 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/08/03 10:46:54 - mmengine - INFO - Epoch(train) [135][1140/1879] lr: 1.0000e-03 eta: 18:01:50 time: 0.2828 data_time: 0.0220 memory: 8198 grad_norm: 6.6959 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8620 loss: 0.8620 2022/08/03 10:46:59 - mmengine - INFO - Epoch(train) [135][1160/1879] lr: 1.0000e-03 eta: 18:01:45 time: 0.2827 data_time: 0.0235 memory: 8198 grad_norm: 6.6608 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9308 loss: 0.9308 2022/08/03 10:47:05 - mmengine - INFO - Epoch(train) [135][1180/1879] lr: 1.0000e-03 eta: 18:01:39 time: 0.2864 data_time: 0.0232 memory: 8198 grad_norm: 6.9202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1799 loss: 1.1799 2022/08/03 10:47:11 - mmengine - INFO - Epoch(train) [135][1200/1879] lr: 1.0000e-03 eta: 18:01:33 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 6.7164 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0769 loss: 1.0769 2022/08/03 10:47:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:47:16 - mmengine - INFO - Epoch(train) [135][1220/1879] lr: 1.0000e-03 eta: 18:01:28 time: 0.2839 data_time: 0.0233 memory: 8198 grad_norm: 6.8472 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1165 loss: 1.1165 2022/08/03 10:47:22 - mmengine - INFO - Epoch(train) [135][1240/1879] lr: 1.0000e-03 eta: 18:01:22 time: 0.2893 data_time: 0.0189 memory: 8198 grad_norm: 6.6707 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0404 loss: 1.0404 2022/08/03 10:47:28 - mmengine - INFO - Epoch(train) [135][1260/1879] lr: 1.0000e-03 eta: 18:01:16 time: 0.2839 data_time: 0.0295 memory: 8198 grad_norm: 6.7628 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0621 loss: 1.0621 2022/08/03 10:47:34 - mmengine - INFO - Epoch(train) [135][1280/1879] lr: 1.0000e-03 eta: 18:01:11 time: 0.2851 data_time: 0.0252 memory: 8198 grad_norm: 6.8038 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/08/03 10:47:39 - mmengine - INFO - Epoch(train) [135][1300/1879] lr: 1.0000e-03 eta: 18:01:05 time: 0.2835 data_time: 0.0218 memory: 8198 grad_norm: 6.5183 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0812 loss: 1.0812 2022/08/03 10:47:45 - mmengine - INFO - Epoch(train) [135][1320/1879] lr: 1.0000e-03 eta: 18:00:59 time: 0.2898 data_time: 0.0273 memory: 8198 grad_norm: 6.7115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9995 loss: 0.9995 2022/08/03 10:47:51 - mmengine - INFO - Epoch(train) [135][1340/1879] lr: 1.0000e-03 eta: 18:00:54 time: 0.2850 data_time: 0.0250 memory: 8198 grad_norm: 6.6868 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0250 loss: 1.0250 2022/08/03 10:47:57 - mmengine - INFO - Epoch(train) [135][1360/1879] lr: 1.0000e-03 eta: 18:00:48 time: 0.2836 data_time: 0.0220 memory: 8198 grad_norm: 6.6589 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1324 loss: 1.1324 2022/08/03 10:48:02 - mmengine - INFO - Epoch(train) [135][1380/1879] lr: 1.0000e-03 eta: 18:00:42 time: 0.2876 data_time: 0.0250 memory: 8198 grad_norm: 6.6974 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1403 loss: 1.1403 2022/08/03 10:48:08 - mmengine - INFO - Epoch(train) [135][1400/1879] lr: 1.0000e-03 eta: 18:00:37 time: 0.2843 data_time: 0.0207 memory: 8198 grad_norm: 6.9135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1871 loss: 1.1871 2022/08/03 10:48:14 - mmengine - INFO - Epoch(train) [135][1420/1879] lr: 1.0000e-03 eta: 18:00:31 time: 0.2862 data_time: 0.0233 memory: 8198 grad_norm: 6.6863 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0839 loss: 1.0839 2022/08/03 10:48:19 - mmengine - INFO - Epoch(train) [135][1440/1879] lr: 1.0000e-03 eta: 18:00:25 time: 0.2845 data_time: 0.0232 memory: 8198 grad_norm: 6.5481 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1356 loss: 1.1356 2022/08/03 10:48:25 - mmengine - INFO - Epoch(train) [135][1460/1879] lr: 1.0000e-03 eta: 18:00:20 time: 0.2871 data_time: 0.0253 memory: 8198 grad_norm: 6.7273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/08/03 10:48:31 - mmengine - INFO - Epoch(train) [135][1480/1879] lr: 1.0000e-03 eta: 18:00:14 time: 0.2911 data_time: 0.0236 memory: 8198 grad_norm: 6.8405 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2666 loss: 1.2666 2022/08/03 10:48:37 - mmengine - INFO - Epoch(train) [135][1500/1879] lr: 1.0000e-03 eta: 18:00:08 time: 0.2801 data_time: 0.0202 memory: 8198 grad_norm: 6.6087 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1296 loss: 1.1296 2022/08/03 10:48:42 - mmengine - INFO - Epoch(train) [135][1520/1879] lr: 1.0000e-03 eta: 18:00:03 time: 0.2889 data_time: 0.0242 memory: 8198 grad_norm: 6.8011 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0046 loss: 1.0046 2022/08/03 10:48:48 - mmengine - INFO - Epoch(train) [135][1540/1879] lr: 1.0000e-03 eta: 17:59:57 time: 0.2858 data_time: 0.0220 memory: 8198 grad_norm: 6.6019 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/03 10:48:54 - mmengine - INFO - Epoch(train) [135][1560/1879] lr: 1.0000e-03 eta: 17:59:51 time: 0.2841 data_time: 0.0220 memory: 8198 grad_norm: 6.7908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0108 loss: 1.0108 2022/08/03 10:49:00 - mmengine - INFO - Epoch(train) [135][1580/1879] lr: 1.0000e-03 eta: 17:59:46 time: 0.2854 data_time: 0.0262 memory: 8198 grad_norm: 6.7973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1406 loss: 1.1406 2022/08/03 10:49:06 - mmengine - INFO - Epoch(train) [135][1600/1879] lr: 1.0000e-03 eta: 17:59:40 time: 0.2955 data_time: 0.0183 memory: 8198 grad_norm: 6.5914 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9407 loss: 0.9407 2022/08/03 10:49:11 - mmengine - INFO - Epoch(train) [135][1620/1879] lr: 1.0000e-03 eta: 17:59:34 time: 0.2867 data_time: 0.0221 memory: 8198 grad_norm: 6.6921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/08/03 10:49:17 - mmengine - INFO - Epoch(train) [135][1640/1879] lr: 1.0000e-03 eta: 17:59:29 time: 0.2839 data_time: 0.0203 memory: 8198 grad_norm: 6.7994 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0974 loss: 1.0974 2022/08/03 10:49:23 - mmengine - INFO - Epoch(train) [135][1660/1879] lr: 1.0000e-03 eta: 17:59:23 time: 0.2841 data_time: 0.0213 memory: 8198 grad_norm: 6.6842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0590 loss: 1.0590 2022/08/03 10:49:28 - mmengine - INFO - Epoch(train) [135][1680/1879] lr: 1.0000e-03 eta: 17:59:17 time: 0.2864 data_time: 0.0218 memory: 8198 grad_norm: 6.4886 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.8286 loss: 0.8286 2022/08/03 10:49:34 - mmengine - INFO - Epoch(train) [135][1700/1879] lr: 1.0000e-03 eta: 17:59:12 time: 0.2856 data_time: 0.0212 memory: 8198 grad_norm: 6.7168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0518 loss: 1.0518 2022/08/03 10:49:40 - mmengine - INFO - Epoch(train) [135][1720/1879] lr: 1.0000e-03 eta: 17:59:06 time: 0.2837 data_time: 0.0215 memory: 8198 grad_norm: 6.7065 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0212 loss: 1.0212 2022/08/03 10:49:46 - mmengine - INFO - Epoch(train) [135][1740/1879] lr: 1.0000e-03 eta: 17:59:00 time: 0.2936 data_time: 0.0229 memory: 8198 grad_norm: 6.8015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2448 loss: 1.2448 2022/08/03 10:49:51 - mmengine - INFO - Epoch(train) [135][1760/1879] lr: 1.0000e-03 eta: 17:58:55 time: 0.2836 data_time: 0.0222 memory: 8198 grad_norm: 6.3971 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/08/03 10:49:57 - mmengine - INFO - Epoch(train) [135][1780/1879] lr: 1.0000e-03 eta: 17:58:49 time: 0.2872 data_time: 0.0252 memory: 8198 grad_norm: 6.8584 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/08/03 10:50:03 - mmengine - INFO - Epoch(train) [135][1800/1879] lr: 1.0000e-03 eta: 17:58:43 time: 0.2839 data_time: 0.0274 memory: 8198 grad_norm: 6.7127 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1844 loss: 1.1844 2022/08/03 10:50:09 - mmengine - INFO - Epoch(train) [135][1820/1879] lr: 1.0000e-03 eta: 17:58:38 time: 0.2839 data_time: 0.0268 memory: 8198 grad_norm: 6.4914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0652 loss: 1.0652 2022/08/03 10:50:14 - mmengine - INFO - Epoch(train) [135][1840/1879] lr: 1.0000e-03 eta: 17:58:32 time: 0.2855 data_time: 0.0246 memory: 8198 grad_norm: 6.6068 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/03 10:50:20 - mmengine - INFO - Epoch(train) [135][1860/1879] lr: 1.0000e-03 eta: 17:58:26 time: 0.2851 data_time: 0.0204 memory: 8198 grad_norm: 6.8746 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0513 loss: 1.0513 2022/08/03 10:50:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:50:25 - mmengine - INFO - Epoch(train) [135][1879/1879] lr: 1.0000e-03 eta: 17:58:26 time: 0.2600 data_time: 0.0145 memory: 8198 grad_norm: 7.0016 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9900 loss: 0.9900 2022/08/03 10:50:32 - mmengine - INFO - Epoch(val) [135][20/155] eta: 0:00:44 time: 0.3274 data_time: 0.2378 memory: 1514 2022/08/03 10:50:36 - mmengine - INFO - Epoch(val) [135][40/155] eta: 0:00:25 time: 0.2215 data_time: 0.1318 memory: 1514 2022/08/03 10:50:42 - mmengine - INFO - Epoch(val) [135][60/155] eta: 0:00:28 time: 0.2963 data_time: 0.2097 memory: 1514 2022/08/03 10:50:47 - mmengine - INFO - Epoch(val) [135][80/155] eta: 0:00:17 time: 0.2372 data_time: 0.1483 memory: 1514 2022/08/03 10:50:53 - mmengine - INFO - Epoch(val) [135][100/155] eta: 0:00:16 time: 0.2988 data_time: 0.2114 memory: 1514 2022/08/03 10:50:57 - mmengine - INFO - Epoch(val) [135][120/155] eta: 0:00:08 time: 0.2369 data_time: 0.1504 memory: 1514 2022/08/03 10:51:04 - mmengine - INFO - Epoch(val) [135][140/155] eta: 0:00:04 time: 0.3064 data_time: 0.2116 memory: 1514 2022/08/03 10:51:08 - mmengine - INFO - Epoch(val) [135][155/155] acc/top1: 0.6767 acc/top5: 0.8675 acc/mean1: 0.6766 2022/08/03 10:51:17 - mmengine - INFO - Epoch(train) [136][20/1879] lr: 1.0000e-03 eta: 17:58:13 time: 0.4240 data_time: 0.1100 memory: 8198 grad_norm: 6.8232 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0701 loss: 1.0701 2022/08/03 10:51:23 - mmengine - INFO - Epoch(train) [136][40/1879] lr: 1.0000e-03 eta: 17:58:07 time: 0.2891 data_time: 0.0210 memory: 8198 grad_norm: 6.5012 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9817 loss: 0.9817 2022/08/03 10:51:28 - mmengine - INFO - Epoch(train) [136][60/1879] lr: 1.0000e-03 eta: 17:58:02 time: 0.2869 data_time: 0.0210 memory: 8198 grad_norm: 6.5326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8624 loss: 0.8624 2022/08/03 10:51:34 - mmengine - INFO - Epoch(train) [136][80/1879] lr: 1.0000e-03 eta: 17:57:56 time: 0.2871 data_time: 0.0237 memory: 8198 grad_norm: 6.4480 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0053 loss: 1.0053 2022/08/03 10:51:40 - mmengine - INFO - Epoch(train) [136][100/1879] lr: 1.0000e-03 eta: 17:57:50 time: 0.2848 data_time: 0.0227 memory: 8198 grad_norm: 6.5354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0621 loss: 1.0621 2022/08/03 10:51:46 - mmengine - INFO - Epoch(train) [136][120/1879] lr: 1.0000e-03 eta: 17:57:45 time: 0.2883 data_time: 0.0238 memory: 8198 grad_norm: 6.5269 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0701 loss: 1.0701 2022/08/03 10:51:51 - mmengine - INFO - Epoch(train) [136][140/1879] lr: 1.0000e-03 eta: 17:57:39 time: 0.2875 data_time: 0.0237 memory: 8198 grad_norm: 7.0257 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1525 loss: 1.1525 2022/08/03 10:51:57 - mmengine - INFO - Epoch(train) [136][160/1879] lr: 1.0000e-03 eta: 17:57:33 time: 0.2834 data_time: 0.0189 memory: 8198 grad_norm: 6.6353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0838 loss: 1.0838 2022/08/03 10:52:03 - mmengine - INFO - Epoch(train) [136][180/1879] lr: 1.0000e-03 eta: 17:57:28 time: 0.2817 data_time: 0.0198 memory: 8198 grad_norm: 6.7459 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0000 loss: 1.0000 2022/08/03 10:52:09 - mmengine - INFO - Epoch(train) [136][200/1879] lr: 1.0000e-03 eta: 17:57:22 time: 0.2880 data_time: 0.0214 memory: 8198 grad_norm: 6.6293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2037 loss: 1.2037 2022/08/03 10:52:15 - mmengine - INFO - Epoch(train) [136][220/1879] lr: 1.0000e-03 eta: 17:57:16 time: 0.2938 data_time: 0.0244 memory: 8198 grad_norm: 6.5278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0517 loss: 1.0517 2022/08/03 10:52:20 - mmengine - INFO - Epoch(train) [136][240/1879] lr: 1.0000e-03 eta: 17:57:11 time: 0.2875 data_time: 0.0233 memory: 8198 grad_norm: 6.8000 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1650 loss: 1.1650 2022/08/03 10:52:26 - mmengine - INFO - Epoch(train) [136][260/1879] lr: 1.0000e-03 eta: 17:57:05 time: 0.2930 data_time: 0.0212 memory: 8198 grad_norm: 6.5609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9975 loss: 0.9975 2022/08/03 10:52:32 - mmengine - INFO - Epoch(train) [136][280/1879] lr: 1.0000e-03 eta: 17:57:00 time: 0.2838 data_time: 0.0235 memory: 8198 grad_norm: 6.5512 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0566 loss: 1.0566 2022/08/03 10:52:38 - mmengine - INFO - Epoch(train) [136][300/1879] lr: 1.0000e-03 eta: 17:56:54 time: 0.2892 data_time: 0.0311 memory: 8198 grad_norm: 6.9049 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3054 loss: 1.3054 2022/08/03 10:52:43 - mmengine - INFO - Epoch(train) [136][320/1879] lr: 1.0000e-03 eta: 17:56:48 time: 0.2867 data_time: 0.0262 memory: 8198 grad_norm: 6.8588 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0573 loss: 1.0573 2022/08/03 10:52:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:52:49 - mmengine - INFO - Epoch(train) [136][340/1879] lr: 1.0000e-03 eta: 17:56:43 time: 0.2832 data_time: 0.0206 memory: 8198 grad_norm: 6.8973 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1385 loss: 1.1385 2022/08/03 10:52:55 - mmengine - INFO - Epoch(train) [136][360/1879] lr: 1.0000e-03 eta: 17:56:37 time: 0.2829 data_time: 0.0242 memory: 8198 grad_norm: 6.5937 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2397 loss: 1.2397 2022/08/03 10:53:01 - mmengine - INFO - Epoch(train) [136][380/1879] lr: 1.0000e-03 eta: 17:56:31 time: 0.2932 data_time: 0.0200 memory: 8198 grad_norm: 6.4498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9735 loss: 0.9735 2022/08/03 10:53:06 - mmengine - INFO - Epoch(train) [136][400/1879] lr: 1.0000e-03 eta: 17:56:26 time: 0.2847 data_time: 0.0221 memory: 8198 grad_norm: 6.5997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0339 loss: 1.0339 2022/08/03 10:53:12 - mmengine - INFO - Epoch(train) [136][420/1879] lr: 1.0000e-03 eta: 17:56:20 time: 0.2884 data_time: 0.0270 memory: 8198 grad_norm: 6.6969 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0465 loss: 1.0465 2022/08/03 10:53:18 - mmengine - INFO - Epoch(train) [136][440/1879] lr: 1.0000e-03 eta: 17:56:14 time: 0.2851 data_time: 0.0234 memory: 8198 grad_norm: 6.9121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9769 loss: 0.9769 2022/08/03 10:53:24 - mmengine - INFO - Epoch(train) [136][460/1879] lr: 1.0000e-03 eta: 17:56:09 time: 0.2846 data_time: 0.0293 memory: 8198 grad_norm: 6.7648 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1376 loss: 1.1376 2022/08/03 10:53:29 - mmengine - INFO - Epoch(train) [136][480/1879] lr: 1.0000e-03 eta: 17:56:03 time: 0.2875 data_time: 0.0210 memory: 8198 grad_norm: 6.6424 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0659 loss: 1.0659 2022/08/03 10:53:35 - mmengine - INFO - Epoch(train) [136][500/1879] lr: 1.0000e-03 eta: 17:55:57 time: 0.2858 data_time: 0.0188 memory: 8198 grad_norm: 6.6921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/08/03 10:53:41 - mmengine - INFO - Epoch(train) [136][520/1879] lr: 1.0000e-03 eta: 17:55:52 time: 0.2829 data_time: 0.0195 memory: 8198 grad_norm: 6.5078 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1027 loss: 1.1027 2022/08/03 10:53:47 - mmengine - INFO - Epoch(train) [136][540/1879] lr: 1.0000e-03 eta: 17:55:46 time: 0.2875 data_time: 0.0243 memory: 8198 grad_norm: 7.0927 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1163 loss: 1.1163 2022/08/03 10:53:52 - mmengine - INFO - Epoch(train) [136][560/1879] lr: 1.0000e-03 eta: 17:55:40 time: 0.2903 data_time: 0.0293 memory: 8198 grad_norm: 6.8392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0805 loss: 1.0805 2022/08/03 10:53:58 - mmengine - INFO - Epoch(train) [136][580/1879] lr: 1.0000e-03 eta: 17:55:35 time: 0.2831 data_time: 0.0231 memory: 8198 grad_norm: 6.5573 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/03 10:54:04 - mmengine - INFO - Epoch(train) [136][600/1879] lr: 1.0000e-03 eta: 17:55:29 time: 0.2823 data_time: 0.0189 memory: 8198 grad_norm: 6.7361 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1347 loss: 1.1347 2022/08/03 10:54:09 - mmengine - INFO - Epoch(train) [136][620/1879] lr: 1.0000e-03 eta: 17:55:23 time: 0.2841 data_time: 0.0202 memory: 8198 grad_norm: 6.5817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8221 loss: 0.8221 2022/08/03 10:54:15 - mmengine - INFO - Epoch(train) [136][640/1879] lr: 1.0000e-03 eta: 17:55:18 time: 0.2866 data_time: 0.0177 memory: 8198 grad_norm: 6.8754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1438 loss: 1.1438 2022/08/03 10:54:21 - mmengine - INFO - Epoch(train) [136][660/1879] lr: 1.0000e-03 eta: 17:55:12 time: 0.2821 data_time: 0.0242 memory: 8198 grad_norm: 6.6751 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9029 loss: 0.9029 2022/08/03 10:54:27 - mmengine - INFO - Epoch(train) [136][680/1879] lr: 1.0000e-03 eta: 17:55:06 time: 0.2882 data_time: 0.0258 memory: 8198 grad_norm: 6.9894 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0546 loss: 1.0546 2022/08/03 10:54:32 - mmengine - INFO - Epoch(train) [136][700/1879] lr: 1.0000e-03 eta: 17:55:00 time: 0.2821 data_time: 0.0226 memory: 8198 grad_norm: 6.6511 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1365 loss: 1.1365 2022/08/03 10:54:38 - mmengine - INFO - Epoch(train) [136][720/1879] lr: 1.0000e-03 eta: 17:54:55 time: 0.2843 data_time: 0.0236 memory: 8198 grad_norm: 6.5577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/08/03 10:54:44 - mmengine - INFO - Epoch(train) [136][740/1879] lr: 1.0000e-03 eta: 17:54:49 time: 0.2886 data_time: 0.0250 memory: 8198 grad_norm: 6.8233 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/03 10:54:50 - mmengine - INFO - Epoch(train) [136][760/1879] lr: 1.0000e-03 eta: 17:54:43 time: 0.2887 data_time: 0.0184 memory: 8198 grad_norm: 6.7543 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.2736 loss: 1.2736 2022/08/03 10:54:56 - mmengine - INFO - Epoch(train) [136][780/1879] lr: 1.0000e-03 eta: 17:54:38 time: 0.2989 data_time: 0.0275 memory: 8198 grad_norm: 6.7036 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0441 loss: 1.0441 2022/08/03 10:55:01 - mmengine - INFO - Epoch(train) [136][800/1879] lr: 1.0000e-03 eta: 17:54:32 time: 0.2823 data_time: 0.0207 memory: 8198 grad_norm: 6.6981 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0577 loss: 1.0577 2022/08/03 10:55:07 - mmengine - INFO - Epoch(train) [136][820/1879] lr: 1.0000e-03 eta: 17:54:27 time: 0.2840 data_time: 0.0186 memory: 8198 grad_norm: 6.7021 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0930 loss: 1.0930 2022/08/03 10:55:13 - mmengine - INFO - Epoch(train) [136][840/1879] lr: 1.0000e-03 eta: 17:54:21 time: 0.2820 data_time: 0.0241 memory: 8198 grad_norm: 6.8208 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0730 loss: 1.0730 2022/08/03 10:55:18 - mmengine - INFO - Epoch(train) [136][860/1879] lr: 1.0000e-03 eta: 17:54:15 time: 0.2856 data_time: 0.0265 memory: 8198 grad_norm: 6.7887 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1524 loss: 1.1524 2022/08/03 10:55:24 - mmengine - INFO - Epoch(train) [136][880/1879] lr: 1.0000e-03 eta: 17:54:10 time: 0.2841 data_time: 0.0199 memory: 8198 grad_norm: 6.7160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0575 loss: 1.0575 2022/08/03 10:55:30 - mmengine - INFO - Epoch(train) [136][900/1879] lr: 1.0000e-03 eta: 17:54:04 time: 0.2819 data_time: 0.0212 memory: 8198 grad_norm: 6.8023 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0984 loss: 1.0984 2022/08/03 10:55:36 - mmengine - INFO - Epoch(train) [136][920/1879] lr: 1.0000e-03 eta: 17:53:58 time: 0.2940 data_time: 0.0242 memory: 8198 grad_norm: 6.5780 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1507 loss: 1.1507 2022/08/03 10:55:41 - mmengine - INFO - Epoch(train) [136][940/1879] lr: 1.0000e-03 eta: 17:53:52 time: 0.2807 data_time: 0.0214 memory: 8198 grad_norm: 6.4979 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1417 loss: 1.1417 2022/08/03 10:55:47 - mmengine - INFO - Epoch(train) [136][960/1879] lr: 1.0000e-03 eta: 17:53:47 time: 0.2851 data_time: 0.0258 memory: 8198 grad_norm: 6.6532 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1186 loss: 1.1186 2022/08/03 10:55:53 - mmengine - INFO - Epoch(train) [136][980/1879] lr: 1.0000e-03 eta: 17:53:41 time: 0.2856 data_time: 0.0242 memory: 8198 grad_norm: 6.7430 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9937 loss: 0.9937 2022/08/03 10:55:58 - mmengine - INFO - Epoch(train) [136][1000/1879] lr: 1.0000e-03 eta: 17:53:35 time: 0.2860 data_time: 0.0201 memory: 8198 grad_norm: 6.5099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9412 loss: 0.9412 2022/08/03 10:56:04 - mmengine - INFO - Epoch(train) [136][1020/1879] lr: 1.0000e-03 eta: 17:53:30 time: 0.2866 data_time: 0.0238 memory: 8198 grad_norm: 6.6365 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1790 loss: 1.1790 2022/08/03 10:56:10 - mmengine - INFO - Epoch(train) [136][1040/1879] lr: 1.0000e-03 eta: 17:53:24 time: 0.2824 data_time: 0.0242 memory: 8198 grad_norm: 6.3800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0852 loss: 1.0852 2022/08/03 10:56:16 - mmengine - INFO - Epoch(train) [136][1060/1879] lr: 1.0000e-03 eta: 17:53:18 time: 0.2886 data_time: 0.0234 memory: 8198 grad_norm: 6.6841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8682 loss: 0.8682 2022/08/03 10:56:22 - mmengine - INFO - Epoch(train) [136][1080/1879] lr: 1.0000e-03 eta: 17:53:13 time: 0.2929 data_time: 0.0213 memory: 8198 grad_norm: 6.8582 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/08/03 10:56:27 - mmengine - INFO - Epoch(train) [136][1100/1879] lr: 1.0000e-03 eta: 17:53:07 time: 0.2824 data_time: 0.0236 memory: 8198 grad_norm: 6.8489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0892 loss: 1.0892 2022/08/03 10:56:33 - mmengine - INFO - Epoch(train) [136][1120/1879] lr: 1.0000e-03 eta: 17:53:02 time: 0.2850 data_time: 0.0217 memory: 8198 grad_norm: 6.7404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2365 loss: 1.2365 2022/08/03 10:56:39 - mmengine - INFO - Epoch(train) [136][1140/1879] lr: 1.0000e-03 eta: 17:52:56 time: 0.2851 data_time: 0.0210 memory: 8198 grad_norm: 6.7118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0644 loss: 1.0644 2022/08/03 10:56:44 - mmengine - INFO - Epoch(train) [136][1160/1879] lr: 1.0000e-03 eta: 17:52:50 time: 0.2835 data_time: 0.0205 memory: 8198 grad_norm: 6.7707 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 0.9376 loss: 0.9376 2022/08/03 10:56:50 - mmengine - INFO - Epoch(train) [136][1180/1879] lr: 1.0000e-03 eta: 17:52:44 time: 0.2822 data_time: 0.0199 memory: 8198 grad_norm: 6.7433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0081 loss: 1.0081 2022/08/03 10:56:56 - mmengine - INFO - Epoch(train) [136][1200/1879] lr: 1.0000e-03 eta: 17:52:39 time: 0.2848 data_time: 0.0256 memory: 8198 grad_norm: 6.7968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1713 loss: 1.1713 2022/08/03 10:57:02 - mmengine - INFO - Epoch(train) [136][1220/1879] lr: 1.0000e-03 eta: 17:52:33 time: 0.2912 data_time: 0.0201 memory: 8198 grad_norm: 6.7190 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0540 loss: 1.0540 2022/08/03 10:57:07 - mmengine - INFO - Epoch(train) [136][1240/1879] lr: 1.0000e-03 eta: 17:52:27 time: 0.2820 data_time: 0.0184 memory: 8198 grad_norm: 6.8131 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9558 loss: 0.9558 2022/08/03 10:57:13 - mmengine - INFO - Epoch(train) [136][1260/1879] lr: 1.0000e-03 eta: 17:52:22 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 6.8423 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0010 loss: 1.0010 2022/08/03 10:57:19 - mmengine - INFO - Epoch(train) [136][1280/1879] lr: 1.0000e-03 eta: 17:52:16 time: 0.2875 data_time: 0.0258 memory: 8198 grad_norm: 6.7052 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1063 loss: 1.1063 2022/08/03 10:57:25 - mmengine - INFO - Epoch(train) [136][1300/1879] lr: 1.0000e-03 eta: 17:52:11 time: 0.3053 data_time: 0.0214 memory: 8198 grad_norm: 6.8465 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0549 loss: 1.0549 2022/08/03 10:57:31 - mmengine - INFO - Epoch(train) [136][1320/1879] lr: 1.0000e-03 eta: 17:52:05 time: 0.2822 data_time: 0.0229 memory: 8198 grad_norm: 6.8131 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1304 loss: 1.1304 2022/08/03 10:57:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 10:57:36 - mmengine - INFO - Epoch(train) [136][1340/1879] lr: 1.0000e-03 eta: 17:51:59 time: 0.2900 data_time: 0.0261 memory: 8198 grad_norm: 6.7161 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9433 loss: 0.9433 2022/08/03 10:57:42 - mmengine - INFO - Epoch(train) [136][1360/1879] lr: 1.0000e-03 eta: 17:51:54 time: 0.2920 data_time: 0.0233 memory: 8198 grad_norm: 6.7394 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1748 loss: 1.1748 2022/08/03 10:57:48 - mmengine - INFO - Epoch(train) [136][1380/1879] lr: 1.0000e-03 eta: 17:51:48 time: 0.2866 data_time: 0.0281 memory: 8198 grad_norm: 6.6122 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1575 loss: 1.1575 2022/08/03 10:57:54 - mmengine - INFO - Epoch(train) [136][1400/1879] lr: 1.0000e-03 eta: 17:51:43 time: 0.2862 data_time: 0.0220 memory: 8198 grad_norm: 6.7511 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9915 loss: 0.9915 2022/08/03 10:57:59 - mmengine - INFO - Epoch(train) [136][1420/1879] lr: 1.0000e-03 eta: 17:51:37 time: 0.2824 data_time: 0.0175 memory: 8198 grad_norm: 6.7162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1476 loss: 1.1476 2022/08/03 10:58:05 - mmengine - INFO - Epoch(train) [136][1440/1879] lr: 1.0000e-03 eta: 17:51:31 time: 0.3010 data_time: 0.0205 memory: 8198 grad_norm: 6.9092 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1269 loss: 1.1269 2022/08/03 10:58:11 - mmengine - INFO - Epoch(train) [136][1460/1879] lr: 1.0000e-03 eta: 17:51:26 time: 0.2841 data_time: 0.0232 memory: 8198 grad_norm: 6.6495 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0923 loss: 1.0923 2022/08/03 10:58:17 - mmengine - INFO - Epoch(train) [136][1480/1879] lr: 1.0000e-03 eta: 17:51:20 time: 0.2878 data_time: 0.0270 memory: 8198 grad_norm: 6.6009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0522 loss: 1.0522 2022/08/03 10:58:23 - mmengine - INFO - Epoch(train) [136][1500/1879] lr: 1.0000e-03 eta: 17:51:14 time: 0.2871 data_time: 0.0241 memory: 8198 grad_norm: 6.6113 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9136 loss: 0.9136 2022/08/03 10:58:28 - mmengine - INFO - Epoch(train) [136][1520/1879] lr: 1.0000e-03 eta: 17:51:09 time: 0.2825 data_time: 0.0265 memory: 8198 grad_norm: 6.6671 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1055 loss: 1.1055 2022/08/03 10:58:34 - mmengine - INFO - Epoch(train) [136][1540/1879] lr: 1.0000e-03 eta: 17:51:03 time: 0.2851 data_time: 0.0232 memory: 8198 grad_norm: 6.5773 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9118 loss: 0.9118 2022/08/03 10:58:40 - mmengine - INFO - Epoch(train) [136][1560/1879] lr: 1.0000e-03 eta: 17:50:57 time: 0.2853 data_time: 0.0206 memory: 8198 grad_norm: 6.6112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9634 loss: 0.9634 2022/08/03 10:58:45 - mmengine - INFO - Epoch(train) [136][1580/1879] lr: 1.0000e-03 eta: 17:50:52 time: 0.2850 data_time: 0.0282 memory: 8198 grad_norm: 6.8946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1205 loss: 1.1205 2022/08/03 10:58:51 - mmengine - INFO - Epoch(train) [136][1600/1879] lr: 1.0000e-03 eta: 17:50:46 time: 0.2827 data_time: 0.0207 memory: 8198 grad_norm: 6.8389 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1293 loss: 1.1293 2022/08/03 10:58:57 - mmengine - INFO - Epoch(train) [136][1620/1879] lr: 1.0000e-03 eta: 17:50:40 time: 0.2875 data_time: 0.0243 memory: 8198 grad_norm: 6.8498 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1851 loss: 1.1851 2022/08/03 10:59:03 - mmengine - INFO - Epoch(train) [136][1640/1879] lr: 1.0000e-03 eta: 17:50:35 time: 0.2962 data_time: 0.0193 memory: 8198 grad_norm: 6.8667 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/08/03 10:59:09 - mmengine - INFO - Epoch(train) [136][1660/1879] lr: 1.0000e-03 eta: 17:50:29 time: 0.2832 data_time: 0.0240 memory: 8198 grad_norm: 6.5714 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1022 loss: 1.1022 2022/08/03 10:59:14 - mmengine - INFO - Epoch(train) [136][1680/1879] lr: 1.0000e-03 eta: 17:50:23 time: 0.2846 data_time: 0.0220 memory: 8198 grad_norm: 6.8032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9029 loss: 0.9029 2022/08/03 10:59:20 - mmengine - INFO - Epoch(train) [136][1700/1879] lr: 1.0000e-03 eta: 17:50:18 time: 0.2850 data_time: 0.0273 memory: 8198 grad_norm: 6.7400 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1034 loss: 1.1034 2022/08/03 10:59:26 - mmengine - INFO - Epoch(train) [136][1720/1879] lr: 1.0000e-03 eta: 17:50:12 time: 0.2883 data_time: 0.0197 memory: 8198 grad_norm: 6.7499 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/08/03 10:59:31 - mmengine - INFO - Epoch(train) [136][1740/1879] lr: 1.0000e-03 eta: 17:50:06 time: 0.2803 data_time: 0.0207 memory: 8198 grad_norm: 6.7160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3444 loss: 1.3444 2022/08/03 10:59:37 - mmengine - INFO - Epoch(train) [136][1760/1879] lr: 1.0000e-03 eta: 17:50:01 time: 0.2828 data_time: 0.0150 memory: 8198 grad_norm: 6.7701 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/08/03 10:59:43 - mmengine - INFO - Epoch(train) [136][1780/1879] lr: 1.0000e-03 eta: 17:49:55 time: 0.2966 data_time: 0.0241 memory: 8198 grad_norm: 6.9075 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2043 loss: 1.2043 2022/08/03 10:59:49 - mmengine - INFO - Epoch(train) [136][1800/1879] lr: 1.0000e-03 eta: 17:49:49 time: 0.2822 data_time: 0.0205 memory: 8198 grad_norm: 6.5890 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9953 loss: 0.9953 2022/08/03 10:59:54 - mmengine - INFO - Epoch(train) [136][1820/1879] lr: 1.0000e-03 eta: 17:49:44 time: 0.2861 data_time: 0.0223 memory: 8198 grad_norm: 6.9239 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1942 loss: 1.1942 2022/08/03 11:00:00 - mmengine - INFO - Epoch(train) [136][1840/1879] lr: 1.0000e-03 eta: 17:49:38 time: 0.2823 data_time: 0.0192 memory: 8198 grad_norm: 6.9034 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2255 loss: 1.2255 2022/08/03 11:00:06 - mmengine - INFO - Epoch(train) [136][1860/1879] lr: 1.0000e-03 eta: 17:49:33 time: 0.2981 data_time: 0.0224 memory: 8198 grad_norm: 6.7762 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0541 loss: 1.0541 2022/08/03 11:00:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:00:11 - mmengine - INFO - Epoch(train) [136][1879/1879] lr: 1.0000e-03 eta: 17:49:33 time: 0.2552 data_time: 0.0137 memory: 8198 grad_norm: 6.8784 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2594 loss: 1.2594 2022/08/03 11:00:11 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/08/03 11:00:20 - mmengine - INFO - Epoch(train) [137][20/1879] lr: 1.0000e-03 eta: 17:49:18 time: 0.3628 data_time: 0.1004 memory: 8198 grad_norm: 6.7576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2540 loss: 1.2540 2022/08/03 11:00:26 - mmengine - INFO - Epoch(train) [137][40/1879] lr: 1.0000e-03 eta: 17:49:12 time: 0.2891 data_time: 0.0179 memory: 8198 grad_norm: 6.6459 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1553 loss: 1.1553 2022/08/03 11:00:32 - mmengine - INFO - Epoch(train) [137][60/1879] lr: 1.0000e-03 eta: 17:49:07 time: 0.2866 data_time: 0.0261 memory: 8198 grad_norm: 6.7780 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/08/03 11:00:38 - mmengine - INFO - Epoch(train) [137][80/1879] lr: 1.0000e-03 eta: 17:49:01 time: 0.2830 data_time: 0.0205 memory: 8198 grad_norm: 6.9709 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1743 loss: 1.1743 2022/08/03 11:00:43 - mmengine - INFO - Epoch(train) [137][100/1879] lr: 1.0000e-03 eta: 17:48:55 time: 0.2862 data_time: 0.0246 memory: 8198 grad_norm: 6.8650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2055 loss: 1.2055 2022/08/03 11:00:49 - mmengine - INFO - Epoch(train) [137][120/1879] lr: 1.0000e-03 eta: 17:48:50 time: 0.2838 data_time: 0.0233 memory: 8198 grad_norm: 6.7488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/08/03 11:00:55 - mmengine - INFO - Epoch(train) [137][140/1879] lr: 1.0000e-03 eta: 17:48:44 time: 0.2869 data_time: 0.0247 memory: 8198 grad_norm: 6.5665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1267 loss: 1.1267 2022/08/03 11:01:01 - mmengine - INFO - Epoch(train) [137][160/1879] lr: 1.0000e-03 eta: 17:48:38 time: 0.2836 data_time: 0.0250 memory: 8198 grad_norm: 6.3578 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0059 loss: 1.0059 2022/08/03 11:01:06 - mmengine - INFO - Epoch(train) [137][180/1879] lr: 1.0000e-03 eta: 17:48:33 time: 0.2875 data_time: 0.0247 memory: 8198 grad_norm: 6.8731 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0419 loss: 1.0419 2022/08/03 11:01:12 - mmengine - INFO - Epoch(train) [137][200/1879] lr: 1.0000e-03 eta: 17:48:27 time: 0.2843 data_time: 0.0200 memory: 8198 grad_norm: 6.6469 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9595 loss: 0.9595 2022/08/03 11:01:18 - mmengine - INFO - Epoch(train) [137][220/1879] lr: 1.0000e-03 eta: 17:48:21 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 6.5394 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1093 loss: 1.1093 2022/08/03 11:01:24 - mmengine - INFO - Epoch(train) [137][240/1879] lr: 1.0000e-03 eta: 17:48:16 time: 0.2943 data_time: 0.0180 memory: 8198 grad_norm: 6.5856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8806 loss: 0.8806 2022/08/03 11:01:29 - mmengine - INFO - Epoch(train) [137][260/1879] lr: 1.0000e-03 eta: 17:48:10 time: 0.2831 data_time: 0.0228 memory: 8198 grad_norm: 6.9026 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1582 loss: 1.1582 2022/08/03 11:01:35 - mmengine - INFO - Epoch(train) [137][280/1879] lr: 1.0000e-03 eta: 17:48:04 time: 0.2852 data_time: 0.0190 memory: 8198 grad_norm: 6.8186 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1010 loss: 1.1010 2022/08/03 11:01:41 - mmengine - INFO - Epoch(train) [137][300/1879] lr: 1.0000e-03 eta: 17:47:59 time: 0.2855 data_time: 0.0215 memory: 8198 grad_norm: 6.5935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1613 loss: 1.1613 2022/08/03 11:01:47 - mmengine - INFO - Epoch(train) [137][320/1879] lr: 1.0000e-03 eta: 17:47:53 time: 0.2849 data_time: 0.0209 memory: 8198 grad_norm: 6.5243 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/08/03 11:01:52 - mmengine - INFO - Epoch(train) [137][340/1879] lr: 1.0000e-03 eta: 17:47:47 time: 0.2867 data_time: 0.0215 memory: 8198 grad_norm: 6.8024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0494 loss: 1.0494 2022/08/03 11:01:58 - mmengine - INFO - Epoch(train) [137][360/1879] lr: 1.0000e-03 eta: 17:47:42 time: 0.2843 data_time: 0.0196 memory: 8198 grad_norm: 6.7921 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2373 loss: 1.2373 2022/08/03 11:02:04 - mmengine - INFO - Epoch(train) [137][380/1879] lr: 1.0000e-03 eta: 17:47:36 time: 0.2829 data_time: 0.0268 memory: 8198 grad_norm: 6.4971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/08/03 11:02:09 - mmengine - INFO - Epoch(train) [137][400/1879] lr: 1.0000e-03 eta: 17:47:30 time: 0.2810 data_time: 0.0234 memory: 8198 grad_norm: 6.9524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/08/03 11:02:15 - mmengine - INFO - Epoch(train) [137][420/1879] lr: 1.0000e-03 eta: 17:47:25 time: 0.2857 data_time: 0.0225 memory: 8198 grad_norm: 6.5263 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8407 loss: 0.8407 2022/08/03 11:02:21 - mmengine - INFO - Epoch(train) [137][440/1879] lr: 1.0000e-03 eta: 17:47:19 time: 0.2821 data_time: 0.0195 memory: 8198 grad_norm: 6.7274 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1135 loss: 1.1135 2022/08/03 11:02:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:02:26 - mmengine - INFO - Epoch(train) [137][460/1879] lr: 1.0000e-03 eta: 17:47:13 time: 0.2834 data_time: 0.0257 memory: 8198 grad_norm: 6.8147 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/08/03 11:02:32 - mmengine - INFO - Epoch(train) [137][480/1879] lr: 1.0000e-03 eta: 17:47:07 time: 0.2854 data_time: 0.0228 memory: 8198 grad_norm: 6.6383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0171 loss: 1.0171 2022/08/03 11:02:38 - mmengine - INFO - Epoch(train) [137][500/1879] lr: 1.0000e-03 eta: 17:47:02 time: 0.2843 data_time: 0.0270 memory: 8198 grad_norm: 6.7681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1602 loss: 1.1602 2022/08/03 11:02:44 - mmengine - INFO - Epoch(train) [137][520/1879] lr: 1.0000e-03 eta: 17:46:56 time: 0.2979 data_time: 0.0164 memory: 8198 grad_norm: 6.7844 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1227 loss: 1.1227 2022/08/03 11:02:49 - mmengine - INFO - Epoch(train) [137][540/1879] lr: 1.0000e-03 eta: 17:46:51 time: 0.2821 data_time: 0.0203 memory: 8198 grad_norm: 6.8048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0269 loss: 1.0269 2022/08/03 11:02:55 - mmengine - INFO - Epoch(train) [137][560/1879] lr: 1.0000e-03 eta: 17:46:45 time: 0.2836 data_time: 0.0248 memory: 8198 grad_norm: 6.8470 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0930 loss: 1.0930 2022/08/03 11:03:01 - mmengine - INFO - Epoch(train) [137][580/1879] lr: 1.0000e-03 eta: 17:46:39 time: 0.2826 data_time: 0.0233 memory: 8198 grad_norm: 6.8355 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8849 loss: 0.8849 2022/08/03 11:03:07 - mmengine - INFO - Epoch(train) [137][600/1879] lr: 1.0000e-03 eta: 17:46:33 time: 0.2895 data_time: 0.0195 memory: 8198 grad_norm: 6.5858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9305 loss: 0.9305 2022/08/03 11:03:12 - mmengine - INFO - Epoch(train) [137][620/1879] lr: 1.0000e-03 eta: 17:46:28 time: 0.2849 data_time: 0.0267 memory: 8198 grad_norm: 6.7404 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3128 loss: 1.3128 2022/08/03 11:03:18 - mmengine - INFO - Epoch(train) [137][640/1879] lr: 1.0000e-03 eta: 17:46:22 time: 0.2820 data_time: 0.0204 memory: 8198 grad_norm: 6.4899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/08/03 11:03:24 - mmengine - INFO - Epoch(train) [137][660/1879] lr: 1.0000e-03 eta: 17:46:16 time: 0.2871 data_time: 0.0314 memory: 8198 grad_norm: 6.4271 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/08/03 11:03:30 - mmengine - INFO - Epoch(train) [137][680/1879] lr: 1.0000e-03 eta: 17:46:11 time: 0.2863 data_time: 0.0206 memory: 8198 grad_norm: 6.8620 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/08/03 11:03:35 - mmengine - INFO - Epoch(train) [137][700/1879] lr: 1.0000e-03 eta: 17:46:05 time: 0.2872 data_time: 0.0217 memory: 8198 grad_norm: 6.6660 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0466 loss: 1.0466 2022/08/03 11:03:41 - mmengine - INFO - Epoch(train) [137][720/1879] lr: 1.0000e-03 eta: 17:45:59 time: 0.2825 data_time: 0.0226 memory: 8198 grad_norm: 6.9133 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9152 loss: 0.9152 2022/08/03 11:03:47 - mmengine - INFO - Epoch(train) [137][740/1879] lr: 1.0000e-03 eta: 17:45:54 time: 0.2837 data_time: 0.0235 memory: 8198 grad_norm: 6.7242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/03 11:03:53 - mmengine - INFO - Epoch(train) [137][760/1879] lr: 1.0000e-03 eta: 17:45:48 time: 0.2981 data_time: 0.0204 memory: 8198 grad_norm: 6.7354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2164 loss: 1.2164 2022/08/03 11:03:58 - mmengine - INFO - Epoch(train) [137][780/1879] lr: 1.0000e-03 eta: 17:45:43 time: 0.2831 data_time: 0.0245 memory: 8198 grad_norm: 6.5055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/03 11:04:04 - mmengine - INFO - Epoch(train) [137][800/1879] lr: 1.0000e-03 eta: 17:45:37 time: 0.2820 data_time: 0.0164 memory: 8198 grad_norm: 6.5842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9735 loss: 0.9735 2022/08/03 11:04:10 - mmengine - INFO - Epoch(train) [137][820/1879] lr: 1.0000e-03 eta: 17:45:31 time: 0.2900 data_time: 0.0286 memory: 8198 grad_norm: 6.5266 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/08/03 11:04:16 - mmengine - INFO - Epoch(train) [137][840/1879] lr: 1.0000e-03 eta: 17:45:26 time: 0.2873 data_time: 0.0230 memory: 8198 grad_norm: 6.6333 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2151 loss: 1.2151 2022/08/03 11:04:21 - mmengine - INFO - Epoch(train) [137][860/1879] lr: 1.0000e-03 eta: 17:45:20 time: 0.2831 data_time: 0.0200 memory: 8198 grad_norm: 6.7841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0271 loss: 1.0271 2022/08/03 11:04:27 - mmengine - INFO - Epoch(train) [137][880/1879] lr: 1.0000e-03 eta: 17:45:14 time: 0.2832 data_time: 0.0234 memory: 8198 grad_norm: 6.6787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/08/03 11:04:33 - mmengine - INFO - Epoch(train) [137][900/1879] lr: 1.0000e-03 eta: 17:45:09 time: 0.2985 data_time: 0.0262 memory: 8198 grad_norm: 6.8083 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1937 loss: 1.1937 2022/08/03 11:04:39 - mmengine - INFO - Epoch(train) [137][920/1879] lr: 1.0000e-03 eta: 17:45:03 time: 0.2824 data_time: 0.0236 memory: 8198 grad_norm: 6.7266 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0922 loss: 1.0922 2022/08/03 11:04:44 - mmengine - INFO - Epoch(train) [137][940/1879] lr: 1.0000e-03 eta: 17:44:57 time: 0.2935 data_time: 0.0228 memory: 8198 grad_norm: 6.7889 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1072 loss: 1.1072 2022/08/03 11:04:50 - mmengine - INFO - Epoch(train) [137][960/1879] lr: 1.0000e-03 eta: 17:44:52 time: 0.2827 data_time: 0.0219 memory: 8198 grad_norm: 6.5337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1704 loss: 1.1704 2022/08/03 11:04:56 - mmengine - INFO - Epoch(train) [137][980/1879] lr: 1.0000e-03 eta: 17:44:46 time: 0.2841 data_time: 0.0238 memory: 8198 grad_norm: 6.8447 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0301 loss: 1.0301 2022/08/03 11:05:02 - mmengine - INFO - Epoch(train) [137][1000/1879] lr: 1.0000e-03 eta: 17:44:40 time: 0.2924 data_time: 0.0315 memory: 8198 grad_norm: 6.6885 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/08/03 11:05:08 - mmengine - INFO - Epoch(train) [137][1020/1879] lr: 1.0000e-03 eta: 17:44:35 time: 0.2971 data_time: 0.0260 memory: 8198 grad_norm: 6.9471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/08/03 11:05:13 - mmengine - INFO - Epoch(train) [137][1040/1879] lr: 1.0000e-03 eta: 17:44:29 time: 0.2846 data_time: 0.0206 memory: 8198 grad_norm: 6.7083 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9929 loss: 0.9929 2022/08/03 11:05:19 - mmengine - INFO - Epoch(train) [137][1060/1879] lr: 1.0000e-03 eta: 17:44:24 time: 0.2847 data_time: 0.0281 memory: 8198 grad_norm: 6.6104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0735 loss: 1.0735 2022/08/03 11:05:25 - mmengine - INFO - Epoch(train) [137][1080/1879] lr: 1.0000e-03 eta: 17:44:18 time: 0.2871 data_time: 0.0222 memory: 8198 grad_norm: 6.7138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1244 loss: 1.1244 2022/08/03 11:05:31 - mmengine - INFO - Epoch(train) [137][1100/1879] lr: 1.0000e-03 eta: 17:44:12 time: 0.2832 data_time: 0.0248 memory: 8198 grad_norm: 6.6755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8853 loss: 0.8853 2022/08/03 11:05:36 - mmengine - INFO - Epoch(train) [137][1120/1879] lr: 1.0000e-03 eta: 17:44:06 time: 0.2827 data_time: 0.0245 memory: 8198 grad_norm: 6.5045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2447 loss: 1.2447 2022/08/03 11:05:42 - mmengine - INFO - Epoch(train) [137][1140/1879] lr: 1.0000e-03 eta: 17:44:01 time: 0.2883 data_time: 0.0246 memory: 8198 grad_norm: 6.7685 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1383 loss: 1.1383 2022/08/03 11:05:48 - mmengine - INFO - Epoch(train) [137][1160/1879] lr: 1.0000e-03 eta: 17:43:55 time: 0.2792 data_time: 0.0188 memory: 8198 grad_norm: 6.6375 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9286 loss: 0.9286 2022/08/03 11:05:53 - mmengine - INFO - Epoch(train) [137][1180/1879] lr: 1.0000e-03 eta: 17:43:49 time: 0.2854 data_time: 0.0228 memory: 8198 grad_norm: 6.8934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0221 loss: 1.0221 2022/08/03 11:05:59 - mmengine - INFO - Epoch(train) [137][1200/1879] lr: 1.0000e-03 eta: 17:43:44 time: 0.2831 data_time: 0.0219 memory: 8198 grad_norm: 6.6552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0197 loss: 1.0197 2022/08/03 11:06:05 - mmengine - INFO - Epoch(train) [137][1220/1879] lr: 1.0000e-03 eta: 17:43:38 time: 0.2838 data_time: 0.0223 memory: 8198 grad_norm: 6.9288 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0285 loss: 1.0285 2022/08/03 11:06:11 - mmengine - INFO - Epoch(train) [137][1240/1879] lr: 1.0000e-03 eta: 17:43:32 time: 0.2958 data_time: 0.0219 memory: 8198 grad_norm: 6.7197 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1052 loss: 1.1052 2022/08/03 11:06:16 - mmengine - INFO - Epoch(train) [137][1260/1879] lr: 1.0000e-03 eta: 17:43:27 time: 0.2875 data_time: 0.0221 memory: 8198 grad_norm: 6.8344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/08/03 11:06:22 - mmengine - INFO - Epoch(train) [137][1280/1879] lr: 1.0000e-03 eta: 17:43:21 time: 0.2822 data_time: 0.0232 memory: 8198 grad_norm: 6.7935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0666 loss: 1.0666 2022/08/03 11:06:28 - mmengine - INFO - Epoch(train) [137][1300/1879] lr: 1.0000e-03 eta: 17:43:15 time: 0.2851 data_time: 0.0248 memory: 8198 grad_norm: 6.6933 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9571 loss: 0.9571 2022/08/03 11:06:34 - mmengine - INFO - Epoch(train) [137][1320/1879] lr: 1.0000e-03 eta: 17:43:10 time: 0.2835 data_time: 0.0223 memory: 8198 grad_norm: 6.6704 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9138 loss: 0.9138 2022/08/03 11:06:39 - mmengine - INFO - Epoch(train) [137][1340/1879] lr: 1.0000e-03 eta: 17:43:04 time: 0.2841 data_time: 0.0228 memory: 8198 grad_norm: 6.8917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0934 loss: 1.0934 2022/08/03 11:06:45 - mmengine - INFO - Epoch(train) [137][1360/1879] lr: 1.0000e-03 eta: 17:42:58 time: 0.2868 data_time: 0.0240 memory: 8198 grad_norm: 6.7374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0848 loss: 1.0848 2022/08/03 11:06:51 - mmengine - INFO - Epoch(train) [137][1380/1879] lr: 1.0000e-03 eta: 17:42:53 time: 0.2867 data_time: 0.0257 memory: 8198 grad_norm: 6.8426 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1383 loss: 1.1383 2022/08/03 11:06:56 - mmengine - INFO - Epoch(train) [137][1400/1879] lr: 1.0000e-03 eta: 17:42:47 time: 0.2853 data_time: 0.0218 memory: 8198 grad_norm: 6.8050 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2564 loss: 1.2564 2022/08/03 11:07:02 - mmengine - INFO - Epoch(train) [137][1420/1879] lr: 1.0000e-03 eta: 17:42:41 time: 0.2842 data_time: 0.0220 memory: 8198 grad_norm: 6.5792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0406 loss: 1.0406 2022/08/03 11:07:08 - mmengine - INFO - Epoch(train) [137][1440/1879] lr: 1.0000e-03 eta: 17:42:36 time: 0.2844 data_time: 0.0245 memory: 8198 grad_norm: 6.7902 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2797 loss: 1.2797 2022/08/03 11:07:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:07:14 - mmengine - INFO - Epoch(train) [137][1460/1879] lr: 1.0000e-03 eta: 17:42:30 time: 0.2870 data_time: 0.0257 memory: 8198 grad_norm: 6.6094 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9789 loss: 0.9789 2022/08/03 11:07:19 - mmengine - INFO - Epoch(train) [137][1480/1879] lr: 1.0000e-03 eta: 17:42:24 time: 0.2816 data_time: 0.0192 memory: 8198 grad_norm: 6.9189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3168 loss: 1.3168 2022/08/03 11:07:25 - mmengine - INFO - Epoch(train) [137][1500/1879] lr: 1.0000e-03 eta: 17:42:19 time: 0.2852 data_time: 0.0239 memory: 8198 grad_norm: 6.9106 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/08/03 11:07:31 - mmengine - INFO - Epoch(train) [137][1520/1879] lr: 1.0000e-03 eta: 17:42:13 time: 0.2821 data_time: 0.0248 memory: 8198 grad_norm: 6.6986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0559 loss: 1.0559 2022/08/03 11:07:36 - mmengine - INFO - Epoch(train) [137][1540/1879] lr: 1.0000e-03 eta: 17:42:07 time: 0.2875 data_time: 0.0227 memory: 8198 grad_norm: 6.7911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0640 loss: 1.0640 2022/08/03 11:07:42 - mmengine - INFO - Epoch(train) [137][1560/1879] lr: 1.0000e-03 eta: 17:42:01 time: 0.2809 data_time: 0.0181 memory: 8198 grad_norm: 6.6973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0396 loss: 1.0396 2022/08/03 11:07:48 - mmengine - INFO - Epoch(train) [137][1580/1879] lr: 1.0000e-03 eta: 17:41:56 time: 0.2895 data_time: 0.0222 memory: 8198 grad_norm: 6.8525 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1232 loss: 1.1232 2022/08/03 11:07:54 - mmengine - INFO - Epoch(train) [137][1600/1879] lr: 1.0000e-03 eta: 17:41:50 time: 0.2810 data_time: 0.0196 memory: 8198 grad_norm: 6.6013 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0073 loss: 1.0073 2022/08/03 11:07:59 - mmengine - INFO - Epoch(train) [137][1620/1879] lr: 1.0000e-03 eta: 17:41:44 time: 0.2844 data_time: 0.0228 memory: 8198 grad_norm: 6.7386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8872 loss: 0.8872 2022/08/03 11:08:05 - mmengine - INFO - Epoch(train) [137][1640/1879] lr: 1.0000e-03 eta: 17:41:39 time: 0.2858 data_time: 0.0186 memory: 8198 grad_norm: 6.8795 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0583 loss: 1.0583 2022/08/03 11:08:11 - mmengine - INFO - Epoch(train) [137][1660/1879] lr: 1.0000e-03 eta: 17:41:33 time: 0.2875 data_time: 0.0243 memory: 8198 grad_norm: 6.6799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0051 loss: 1.0051 2022/08/03 11:08:16 - mmengine - INFO - Epoch(train) [137][1680/1879] lr: 1.0000e-03 eta: 17:41:27 time: 0.2834 data_time: 0.0224 memory: 8198 grad_norm: 6.6829 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0283 loss: 1.0283 2022/08/03 11:08:22 - mmengine - INFO - Epoch(train) [137][1700/1879] lr: 1.0000e-03 eta: 17:41:22 time: 0.2856 data_time: 0.0274 memory: 8198 grad_norm: 6.6692 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0758 loss: 1.0758 2022/08/03 11:08:28 - mmengine - INFO - Epoch(train) [137][1720/1879] lr: 1.0000e-03 eta: 17:41:16 time: 0.2858 data_time: 0.0252 memory: 8198 grad_norm: 6.7012 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2671 loss: 1.2671 2022/08/03 11:08:34 - mmengine - INFO - Epoch(train) [137][1740/1879] lr: 1.0000e-03 eta: 17:41:10 time: 0.2836 data_time: 0.0265 memory: 8198 grad_norm: 6.6529 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/03 11:08:39 - mmengine - INFO - Epoch(train) [137][1760/1879] lr: 1.0000e-03 eta: 17:41:05 time: 0.2810 data_time: 0.0181 memory: 8198 grad_norm: 6.9445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1246 loss: 1.1246 2022/08/03 11:08:45 - mmengine - INFO - Epoch(train) [137][1780/1879] lr: 1.0000e-03 eta: 17:40:59 time: 0.2868 data_time: 0.0232 memory: 8198 grad_norm: 7.1604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1041 loss: 1.1041 2022/08/03 11:08:51 - mmengine - INFO - Epoch(train) [137][1800/1879] lr: 1.0000e-03 eta: 17:40:53 time: 0.2829 data_time: 0.0204 memory: 8198 grad_norm: 6.9091 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0950 loss: 1.0950 2022/08/03 11:08:56 - mmengine - INFO - Epoch(train) [137][1820/1879] lr: 1.0000e-03 eta: 17:40:48 time: 0.2864 data_time: 0.0226 memory: 8198 grad_norm: 6.7474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9862 loss: 0.9862 2022/08/03 11:09:02 - mmengine - INFO - Epoch(train) [137][1840/1879] lr: 1.0000e-03 eta: 17:40:42 time: 0.2855 data_time: 0.0217 memory: 8198 grad_norm: 6.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/08/03 11:09:08 - mmengine - INFO - Epoch(train) [137][1860/1879] lr: 1.0000e-03 eta: 17:40:36 time: 0.2905 data_time: 0.0229 memory: 8198 grad_norm: 6.6220 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1222 loss: 1.1222 2022/08/03 11:09:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:09:13 - mmengine - INFO - Epoch(train) [137][1879/1879] lr: 1.0000e-03 eta: 17:40:36 time: 0.2570 data_time: 0.0160 memory: 8198 grad_norm: 6.8625 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0687 loss: 1.0687 2022/08/03 11:09:21 - mmengine - INFO - Epoch(train) [138][20/1879] lr: 1.0000e-03 eta: 17:40:23 time: 0.4079 data_time: 0.1215 memory: 8198 grad_norm: 6.7227 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1926 loss: 1.1926 2022/08/03 11:09:27 - mmengine - INFO - Epoch(train) [138][40/1879] lr: 1.0000e-03 eta: 17:40:17 time: 0.2988 data_time: 0.0199 memory: 8198 grad_norm: 6.8702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1138 loss: 1.1138 2022/08/03 11:09:33 - mmengine - INFO - Epoch(train) [138][60/1879] lr: 1.0000e-03 eta: 17:40:12 time: 0.2998 data_time: 0.0291 memory: 8198 grad_norm: 6.5428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/08/03 11:09:39 - mmengine - INFO - Epoch(train) [138][80/1879] lr: 1.0000e-03 eta: 17:40:06 time: 0.2877 data_time: 0.0196 memory: 8198 grad_norm: 6.8323 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1578 loss: 1.1578 2022/08/03 11:09:45 - mmengine - INFO - Epoch(train) [138][100/1879] lr: 1.0000e-03 eta: 17:40:00 time: 0.2859 data_time: 0.0223 memory: 8198 grad_norm: 6.9564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/08/03 11:09:50 - mmengine - INFO - Epoch(train) [138][120/1879] lr: 1.0000e-03 eta: 17:39:55 time: 0.2840 data_time: 0.0194 memory: 8198 grad_norm: 6.7658 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0509 loss: 1.0509 2022/08/03 11:09:56 - mmengine - INFO - Epoch(train) [138][140/1879] lr: 1.0000e-03 eta: 17:39:49 time: 0.2968 data_time: 0.0239 memory: 8198 grad_norm: 6.6382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9023 loss: 0.9023 2022/08/03 11:10:02 - mmengine - INFO - Epoch(train) [138][160/1879] lr: 1.0000e-03 eta: 17:39:44 time: 0.2829 data_time: 0.0261 memory: 8198 grad_norm: 6.6499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0578 loss: 1.0578 2022/08/03 11:10:08 - mmengine - INFO - Epoch(train) [138][180/1879] lr: 1.0000e-03 eta: 17:39:38 time: 0.2861 data_time: 0.0258 memory: 8198 grad_norm: 6.7567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8542 loss: 0.8542 2022/08/03 11:10:13 - mmengine - INFO - Epoch(train) [138][200/1879] lr: 1.0000e-03 eta: 17:39:32 time: 0.2867 data_time: 0.0271 memory: 8198 grad_norm: 6.4386 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9569 loss: 0.9569 2022/08/03 11:10:19 - mmengine - INFO - Epoch(train) [138][220/1879] lr: 1.0000e-03 eta: 17:39:27 time: 0.2856 data_time: 0.0276 memory: 8198 grad_norm: 6.6756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9920 loss: 0.9920 2022/08/03 11:10:25 - mmengine - INFO - Epoch(train) [138][240/1879] lr: 1.0000e-03 eta: 17:39:21 time: 0.2878 data_time: 0.0267 memory: 8198 grad_norm: 6.9796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0845 loss: 1.0845 2022/08/03 11:10:31 - mmengine - INFO - Epoch(train) [138][260/1879] lr: 1.0000e-03 eta: 17:39:15 time: 0.2828 data_time: 0.0248 memory: 8198 grad_norm: 6.6866 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8756 loss: 0.8756 2022/08/03 11:10:36 - mmengine - INFO - Epoch(train) [138][280/1879] lr: 1.0000e-03 eta: 17:39:09 time: 0.2845 data_time: 0.0282 memory: 8198 grad_norm: 6.7100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8377 loss: 0.8377 2022/08/03 11:10:42 - mmengine - INFO - Epoch(train) [138][300/1879] lr: 1.0000e-03 eta: 17:39:04 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 7.1022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9281 loss: 0.9281 2022/08/03 11:10:48 - mmengine - INFO - Epoch(train) [138][320/1879] lr: 1.0000e-03 eta: 17:38:58 time: 0.2839 data_time: 0.0169 memory: 8198 grad_norm: 6.8534 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2570 loss: 1.2570 2022/08/03 11:10:54 - mmengine - INFO - Epoch(train) [138][340/1879] lr: 1.0000e-03 eta: 17:38:52 time: 0.2850 data_time: 0.0255 memory: 8198 grad_norm: 6.6422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1444 loss: 1.1444 2022/08/03 11:10:59 - mmengine - INFO - Epoch(train) [138][360/1879] lr: 1.0000e-03 eta: 17:38:47 time: 0.2838 data_time: 0.0180 memory: 8198 grad_norm: 6.8412 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/08/03 11:11:05 - mmengine - INFO - Epoch(train) [138][380/1879] lr: 1.0000e-03 eta: 17:38:41 time: 0.2943 data_time: 0.0252 memory: 8198 grad_norm: 6.6297 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9464 loss: 0.9464 2022/08/03 11:11:11 - mmengine - INFO - Epoch(train) [138][400/1879] lr: 1.0000e-03 eta: 17:38:36 time: 0.2845 data_time: 0.0242 memory: 8198 grad_norm: 6.5631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1005 loss: 1.1005 2022/08/03 11:11:17 - mmengine - INFO - Epoch(train) [138][420/1879] lr: 1.0000e-03 eta: 17:38:30 time: 0.2866 data_time: 0.0212 memory: 8198 grad_norm: 6.8258 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9964 loss: 0.9964 2022/08/03 11:11:22 - mmengine - INFO - Epoch(train) [138][440/1879] lr: 1.0000e-03 eta: 17:38:24 time: 0.2857 data_time: 0.0231 memory: 8198 grad_norm: 6.5353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9068 loss: 0.9068 2022/08/03 11:11:28 - mmengine - INFO - Epoch(train) [138][460/1879] lr: 1.0000e-03 eta: 17:38:19 time: 0.2886 data_time: 0.0249 memory: 8198 grad_norm: 6.8137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9256 loss: 0.9256 2022/08/03 11:11:34 - mmengine - INFO - Epoch(train) [138][480/1879] lr: 1.0000e-03 eta: 17:38:13 time: 0.2829 data_time: 0.0238 memory: 8198 grad_norm: 6.7573 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0229 loss: 1.0229 2022/08/03 11:11:39 - mmengine - INFO - Epoch(train) [138][500/1879] lr: 1.0000e-03 eta: 17:38:07 time: 0.2815 data_time: 0.0223 memory: 8198 grad_norm: 6.8006 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9646 loss: 0.9646 2022/08/03 11:11:45 - mmengine - INFO - Epoch(train) [138][520/1879] lr: 1.0000e-03 eta: 17:38:01 time: 0.2850 data_time: 0.0263 memory: 8198 grad_norm: 6.7456 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0807 loss: 1.0807 2022/08/03 11:11:51 - mmengine - INFO - Epoch(train) [138][540/1879] lr: 1.0000e-03 eta: 17:37:56 time: 0.2855 data_time: 0.0248 memory: 8198 grad_norm: 6.6362 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1928 loss: 1.1928 2022/08/03 11:11:57 - mmengine - INFO - Epoch(train) [138][560/1879] lr: 1.0000e-03 eta: 17:37:50 time: 0.2879 data_time: 0.0221 memory: 8198 grad_norm: 6.6669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0974 loss: 1.0974 2022/08/03 11:12:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:12:02 - mmengine - INFO - Epoch(train) [138][580/1879] lr: 1.0000e-03 eta: 17:37:44 time: 0.2834 data_time: 0.0258 memory: 8198 grad_norm: 6.6128 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9090 loss: 0.9090 2022/08/03 11:12:08 - mmengine - INFO - Epoch(train) [138][600/1879] lr: 1.0000e-03 eta: 17:37:39 time: 0.2844 data_time: 0.0189 memory: 8198 grad_norm: 6.7625 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0376 loss: 1.0376 2022/08/03 11:12:14 - mmengine - INFO - Epoch(train) [138][620/1879] lr: 1.0000e-03 eta: 17:37:33 time: 0.2850 data_time: 0.0229 memory: 8198 grad_norm: 6.9024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/03 11:12:19 - mmengine - INFO - Epoch(train) [138][640/1879] lr: 1.0000e-03 eta: 17:37:27 time: 0.2830 data_time: 0.0193 memory: 8198 grad_norm: 6.7717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/03 11:12:25 - mmengine - INFO - Epoch(train) [138][660/1879] lr: 1.0000e-03 eta: 17:37:22 time: 0.2875 data_time: 0.0247 memory: 8198 grad_norm: 6.6191 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0945 loss: 1.0945 2022/08/03 11:12:31 - mmengine - INFO - Epoch(train) [138][680/1879] lr: 1.0000e-03 eta: 17:37:16 time: 0.2813 data_time: 0.0253 memory: 8198 grad_norm: 6.8268 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0606 loss: 1.0606 2022/08/03 11:12:37 - mmengine - INFO - Epoch(train) [138][700/1879] lr: 1.0000e-03 eta: 17:37:10 time: 0.2848 data_time: 0.0241 memory: 8198 grad_norm: 6.7538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1026 loss: 1.1026 2022/08/03 11:12:42 - mmengine - INFO - Epoch(train) [138][720/1879] lr: 1.0000e-03 eta: 17:37:05 time: 0.2837 data_time: 0.0201 memory: 8198 grad_norm: 6.8565 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0973 loss: 1.0973 2022/08/03 11:12:48 - mmengine - INFO - Epoch(train) [138][740/1879] lr: 1.0000e-03 eta: 17:36:59 time: 0.2953 data_time: 0.0306 memory: 8198 grad_norm: 6.8294 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1251 loss: 1.1251 2022/08/03 11:12:54 - mmengine - INFO - Epoch(train) [138][760/1879] lr: 1.0000e-03 eta: 17:36:53 time: 0.2837 data_time: 0.0187 memory: 8198 grad_norm: 6.8034 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2728 loss: 1.2728 2022/08/03 11:13:00 - mmengine - INFO - Epoch(train) [138][780/1879] lr: 1.0000e-03 eta: 17:36:48 time: 0.2808 data_time: 0.0177 memory: 8198 grad_norm: 6.5763 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0975 loss: 1.0975 2022/08/03 11:13:05 - mmengine - INFO - Epoch(train) [138][800/1879] lr: 1.0000e-03 eta: 17:36:42 time: 0.2857 data_time: 0.0224 memory: 8198 grad_norm: 6.7766 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/08/03 11:13:11 - mmengine - INFO - Epoch(train) [138][820/1879] lr: 1.0000e-03 eta: 17:36:36 time: 0.2861 data_time: 0.0303 memory: 8198 grad_norm: 7.1299 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3434 loss: 1.3434 2022/08/03 11:13:17 - mmengine - INFO - Epoch(train) [138][840/1879] lr: 1.0000e-03 eta: 17:36:31 time: 0.2842 data_time: 0.0202 memory: 8198 grad_norm: 6.5790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0266 loss: 1.0266 2022/08/03 11:13:22 - mmengine - INFO - Epoch(train) [138][860/1879] lr: 1.0000e-03 eta: 17:36:25 time: 0.2863 data_time: 0.0262 memory: 8198 grad_norm: 6.9944 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0890 loss: 1.0890 2022/08/03 11:13:28 - mmengine - INFO - Epoch(train) [138][880/1879] lr: 1.0000e-03 eta: 17:36:19 time: 0.2860 data_time: 0.0201 memory: 8198 grad_norm: 6.8128 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/08/03 11:13:34 - mmengine - INFO - Epoch(train) [138][900/1879] lr: 1.0000e-03 eta: 17:36:13 time: 0.2842 data_time: 0.0221 memory: 8198 grad_norm: 6.8044 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0784 loss: 1.0784 2022/08/03 11:13:40 - mmengine - INFO - Epoch(train) [138][920/1879] lr: 1.0000e-03 eta: 17:36:08 time: 0.2840 data_time: 0.0242 memory: 8198 grad_norm: 6.5731 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/08/03 11:13:45 - mmengine - INFO - Epoch(train) [138][940/1879] lr: 1.0000e-03 eta: 17:36:02 time: 0.2869 data_time: 0.0234 memory: 8198 grad_norm: 6.6940 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0721 loss: 1.0721 2022/08/03 11:13:51 - mmengine - INFO - Epoch(train) [138][960/1879] lr: 1.0000e-03 eta: 17:35:56 time: 0.2817 data_time: 0.0208 memory: 8198 grad_norm: 6.7347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1427 loss: 1.1427 2022/08/03 11:13:57 - mmengine - INFO - Epoch(train) [138][980/1879] lr: 1.0000e-03 eta: 17:35:51 time: 0.2874 data_time: 0.0259 memory: 8198 grad_norm: 6.7757 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/03 11:14:03 - mmengine - INFO - Epoch(train) [138][1000/1879] lr: 1.0000e-03 eta: 17:35:45 time: 0.2847 data_time: 0.0213 memory: 8198 grad_norm: 6.7319 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/08/03 11:14:08 - mmengine - INFO - Epoch(train) [138][1020/1879] lr: 1.0000e-03 eta: 17:35:39 time: 0.2856 data_time: 0.0226 memory: 8198 grad_norm: 6.8418 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1145 loss: 1.1145 2022/08/03 11:14:14 - mmengine - INFO - Epoch(train) [138][1040/1879] lr: 1.0000e-03 eta: 17:35:34 time: 0.2858 data_time: 0.0199 memory: 8198 grad_norm: 6.7264 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0263 loss: 1.0263 2022/08/03 11:14:20 - mmengine - INFO - Epoch(train) [138][1060/1879] lr: 1.0000e-03 eta: 17:35:28 time: 0.2831 data_time: 0.0262 memory: 8198 grad_norm: 6.8733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/08/03 11:14:25 - mmengine - INFO - Epoch(train) [138][1080/1879] lr: 1.0000e-03 eta: 17:35:22 time: 0.2835 data_time: 0.0209 memory: 8198 grad_norm: 6.9211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2152 loss: 1.2152 2022/08/03 11:14:31 - mmengine - INFO - Epoch(train) [138][1100/1879] lr: 1.0000e-03 eta: 17:35:17 time: 0.2846 data_time: 0.0219 memory: 8198 grad_norm: 6.9109 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0854 loss: 1.0854 2022/08/03 11:14:37 - mmengine - INFO - Epoch(train) [138][1120/1879] lr: 1.0000e-03 eta: 17:35:11 time: 0.2928 data_time: 0.0207 memory: 8198 grad_norm: 6.6493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/08/03 11:14:43 - mmengine - INFO - Epoch(train) [138][1140/1879] lr: 1.0000e-03 eta: 17:35:05 time: 0.2857 data_time: 0.0247 memory: 8198 grad_norm: 6.9589 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2127 loss: 1.2127 2022/08/03 11:14:48 - mmengine - INFO - Epoch(train) [138][1160/1879] lr: 1.0000e-03 eta: 17:35:00 time: 0.2846 data_time: 0.0221 memory: 8198 grad_norm: 7.0109 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1252 loss: 1.1252 2022/08/03 11:14:55 - mmengine - INFO - Epoch(train) [138][1180/1879] lr: 1.0000e-03 eta: 17:34:54 time: 0.3071 data_time: 0.0345 memory: 8198 grad_norm: 6.7318 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0378 loss: 1.0378 2022/08/03 11:15:00 - mmengine - INFO - Epoch(train) [138][1200/1879] lr: 1.0000e-03 eta: 17:34:49 time: 0.2835 data_time: 0.0215 memory: 8198 grad_norm: 6.7718 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0266 loss: 1.0266 2022/08/03 11:15:06 - mmengine - INFO - Epoch(train) [138][1220/1879] lr: 1.0000e-03 eta: 17:34:43 time: 0.2870 data_time: 0.0254 memory: 8198 grad_norm: 6.6260 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/08/03 11:15:12 - mmengine - INFO - Epoch(train) [138][1240/1879] lr: 1.0000e-03 eta: 17:34:37 time: 0.2792 data_time: 0.0175 memory: 8198 grad_norm: 6.8388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1608 loss: 1.1608 2022/08/03 11:15:18 - mmengine - INFO - Epoch(train) [138][1260/1879] lr: 1.0000e-03 eta: 17:34:32 time: 0.2930 data_time: 0.0229 memory: 8198 grad_norm: 6.7099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9665 loss: 0.9665 2022/08/03 11:15:23 - mmengine - INFO - Epoch(train) [138][1280/1879] lr: 1.0000e-03 eta: 17:34:26 time: 0.2837 data_time: 0.0221 memory: 8198 grad_norm: 6.6630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0220 loss: 1.0220 2022/08/03 11:15:29 - mmengine - INFO - Epoch(train) [138][1300/1879] lr: 1.0000e-03 eta: 17:34:20 time: 0.2841 data_time: 0.0226 memory: 8198 grad_norm: 6.8771 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0640 loss: 1.0640 2022/08/03 11:15:35 - mmengine - INFO - Epoch(train) [138][1320/1879] lr: 1.0000e-03 eta: 17:34:15 time: 0.2962 data_time: 0.0208 memory: 8198 grad_norm: 6.7398 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0547 loss: 1.0547 2022/08/03 11:15:41 - mmengine - INFO - Epoch(train) [138][1340/1879] lr: 1.0000e-03 eta: 17:34:09 time: 0.2865 data_time: 0.0254 memory: 8198 grad_norm: 6.9845 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0535 loss: 1.0535 2022/08/03 11:15:46 - mmengine - INFO - Epoch(train) [138][1360/1879] lr: 1.0000e-03 eta: 17:34:03 time: 0.2878 data_time: 0.0230 memory: 8198 grad_norm: 6.6001 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0656 loss: 1.0656 2022/08/03 11:15:52 - mmengine - INFO - Epoch(train) [138][1380/1879] lr: 1.0000e-03 eta: 17:33:58 time: 0.2849 data_time: 0.0234 memory: 8198 grad_norm: 6.8788 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0460 loss: 1.0460 2022/08/03 11:15:58 - mmengine - INFO - Epoch(train) [138][1400/1879] lr: 1.0000e-03 eta: 17:33:52 time: 0.2889 data_time: 0.0258 memory: 8198 grad_norm: 6.7636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/08/03 11:16:04 - mmengine - INFO - Epoch(train) [138][1420/1879] lr: 1.0000e-03 eta: 17:33:47 time: 0.2913 data_time: 0.0261 memory: 8198 grad_norm: 6.9026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/08/03 11:16:09 - mmengine - INFO - Epoch(train) [138][1440/1879] lr: 1.0000e-03 eta: 17:33:41 time: 0.2831 data_time: 0.0204 memory: 8198 grad_norm: 6.8287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/08/03 11:16:15 - mmengine - INFO - Epoch(train) [138][1460/1879] lr: 1.0000e-03 eta: 17:33:35 time: 0.2879 data_time: 0.0257 memory: 8198 grad_norm: 6.8613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1318 loss: 1.1318 2022/08/03 11:16:21 - mmengine - INFO - Epoch(train) [138][1480/1879] lr: 1.0000e-03 eta: 17:33:30 time: 0.2839 data_time: 0.0253 memory: 8198 grad_norm: 6.9897 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0944 loss: 1.0944 2022/08/03 11:16:27 - mmengine - INFO - Epoch(train) [138][1500/1879] lr: 1.0000e-03 eta: 17:33:24 time: 0.2864 data_time: 0.0229 memory: 8198 grad_norm: 6.5644 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0129 loss: 1.0129 2022/08/03 11:16:32 - mmengine - INFO - Epoch(train) [138][1520/1879] lr: 1.0000e-03 eta: 17:33:18 time: 0.2842 data_time: 0.0251 memory: 8198 grad_norm: 6.6257 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1298 loss: 1.1298 2022/08/03 11:16:38 - mmengine - INFO - Epoch(train) [138][1540/1879] lr: 1.0000e-03 eta: 17:33:13 time: 0.2926 data_time: 0.0238 memory: 8198 grad_norm: 6.8405 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1454 loss: 1.1454 2022/08/03 11:16:44 - mmengine - INFO - Epoch(train) [138][1560/1879] lr: 1.0000e-03 eta: 17:33:07 time: 0.2813 data_time: 0.0168 memory: 8198 grad_norm: 6.8128 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0904 loss: 1.0904 2022/08/03 11:16:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:16:50 - mmengine - INFO - Epoch(train) [138][1580/1879] lr: 1.0000e-03 eta: 17:33:01 time: 0.2837 data_time: 0.0224 memory: 8198 grad_norm: 6.8622 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1193 loss: 1.1193 2022/08/03 11:16:55 - mmengine - INFO - Epoch(train) [138][1600/1879] lr: 1.0000e-03 eta: 17:32:56 time: 0.2851 data_time: 0.0228 memory: 8198 grad_norm: 6.5092 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9715 loss: 0.9715 2022/08/03 11:17:01 - mmengine - INFO - Epoch(train) [138][1620/1879] lr: 1.0000e-03 eta: 17:32:50 time: 0.2829 data_time: 0.0230 memory: 8198 grad_norm: 6.8125 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0473 loss: 1.0473 2022/08/03 11:17:07 - mmengine - INFO - Epoch(train) [138][1640/1879] lr: 1.0000e-03 eta: 17:32:44 time: 0.2818 data_time: 0.0219 memory: 8198 grad_norm: 6.8486 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0542 loss: 1.0542 2022/08/03 11:17:12 - mmengine - INFO - Epoch(train) [138][1660/1879] lr: 1.0000e-03 eta: 17:32:38 time: 0.2853 data_time: 0.0273 memory: 8198 grad_norm: 6.7127 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/08/03 11:17:18 - mmengine - INFO - Epoch(train) [138][1680/1879] lr: 1.0000e-03 eta: 17:32:33 time: 0.2872 data_time: 0.0212 memory: 8198 grad_norm: 6.7835 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1105 loss: 1.1105 2022/08/03 11:17:24 - mmengine - INFO - Epoch(train) [138][1700/1879] lr: 1.0000e-03 eta: 17:32:27 time: 0.2868 data_time: 0.0246 memory: 8198 grad_norm: 6.6929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8719 loss: 0.8719 2022/08/03 11:17:30 - mmengine - INFO - Epoch(train) [138][1720/1879] lr: 1.0000e-03 eta: 17:32:21 time: 0.2835 data_time: 0.0219 memory: 8198 grad_norm: 6.8204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0525 loss: 1.0525 2022/08/03 11:17:35 - mmengine - INFO - Epoch(train) [138][1740/1879] lr: 1.0000e-03 eta: 17:32:16 time: 0.2912 data_time: 0.0235 memory: 8198 grad_norm: 6.9926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9400 loss: 0.9400 2022/08/03 11:17:41 - mmengine - INFO - Epoch(train) [138][1760/1879] lr: 1.0000e-03 eta: 17:32:10 time: 0.2821 data_time: 0.0215 memory: 8198 grad_norm: 6.7325 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0134 loss: 1.0134 2022/08/03 11:17:47 - mmengine - INFO - Epoch(train) [138][1780/1879] lr: 1.0000e-03 eta: 17:32:04 time: 0.2875 data_time: 0.0247 memory: 8198 grad_norm: 6.8297 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2272 loss: 1.2272 2022/08/03 11:17:53 - mmengine - INFO - Epoch(train) [138][1800/1879] lr: 1.0000e-03 eta: 17:31:59 time: 0.2841 data_time: 0.0177 memory: 8198 grad_norm: 6.7754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0424 loss: 1.0424 2022/08/03 11:17:58 - mmengine - INFO - Epoch(train) [138][1820/1879] lr: 1.0000e-03 eta: 17:31:53 time: 0.2909 data_time: 0.0257 memory: 8198 grad_norm: 6.8449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/08/03 11:18:04 - mmengine - INFO - Epoch(train) [138][1840/1879] lr: 1.0000e-03 eta: 17:31:47 time: 0.2819 data_time: 0.0197 memory: 8198 grad_norm: 6.7221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0252 loss: 1.0252 2022/08/03 11:18:10 - mmengine - INFO - Epoch(train) [138][1860/1879] lr: 1.0000e-03 eta: 17:31:42 time: 0.2855 data_time: 0.0272 memory: 8198 grad_norm: 6.6718 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1489 loss: 1.1489 2022/08/03 11:18:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:18:15 - mmengine - INFO - Epoch(train) [138][1879/1879] lr: 1.0000e-03 eta: 17:31:42 time: 0.2576 data_time: 0.0140 memory: 8198 grad_norm: 6.7347 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.2496 loss: 1.2496 2022/08/03 11:18:23 - mmengine - INFO - Epoch(train) [139][20/1879] lr: 1.0000e-03 eta: 17:31:28 time: 0.4115 data_time: 0.1072 memory: 8198 grad_norm: 6.7186 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0933 loss: 1.0933 2022/08/03 11:18:29 - mmengine - INFO - Epoch(train) [139][40/1879] lr: 1.0000e-03 eta: 17:31:23 time: 0.2890 data_time: 0.0208 memory: 8198 grad_norm: 6.6713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0450 loss: 1.0450 2022/08/03 11:18:35 - mmengine - INFO - Epoch(train) [139][60/1879] lr: 1.0000e-03 eta: 17:31:17 time: 0.2953 data_time: 0.0281 memory: 8198 grad_norm: 6.5194 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9537 loss: 0.9537 2022/08/03 11:18:40 - mmengine - INFO - Epoch(train) [139][80/1879] lr: 1.0000e-03 eta: 17:31:11 time: 0.2858 data_time: 0.0205 memory: 8198 grad_norm: 6.7208 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2495 loss: 1.2495 2022/08/03 11:18:46 - mmengine - INFO - Epoch(train) [139][100/1879] lr: 1.0000e-03 eta: 17:31:06 time: 0.2937 data_time: 0.0272 memory: 8198 grad_norm: 6.6468 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9465 loss: 0.9465 2022/08/03 11:18:52 - mmengine - INFO - Epoch(train) [139][120/1879] lr: 1.0000e-03 eta: 17:31:00 time: 0.2835 data_time: 0.0229 memory: 8198 grad_norm: 6.9002 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1512 loss: 1.1512 2022/08/03 11:18:58 - mmengine - INFO - Epoch(train) [139][140/1879] lr: 1.0000e-03 eta: 17:30:55 time: 0.3028 data_time: 0.0203 memory: 8198 grad_norm: 6.7055 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/08/03 11:19:04 - mmengine - INFO - Epoch(train) [139][160/1879] lr: 1.0000e-03 eta: 17:30:49 time: 0.2951 data_time: 0.0199 memory: 8198 grad_norm: 6.9118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/08/03 11:19:10 - mmengine - INFO - Epoch(train) [139][180/1879] lr: 1.0000e-03 eta: 17:30:44 time: 0.2842 data_time: 0.0230 memory: 8198 grad_norm: 6.7133 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1640 loss: 1.1640 2022/08/03 11:19:15 - mmengine - INFO - Epoch(train) [139][200/1879] lr: 1.0000e-03 eta: 17:30:38 time: 0.2854 data_time: 0.0234 memory: 8198 grad_norm: 6.7910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0418 loss: 1.0418 2022/08/03 11:19:21 - mmengine - INFO - Epoch(train) [139][220/1879] lr: 1.0000e-03 eta: 17:30:32 time: 0.2819 data_time: 0.0252 memory: 8198 grad_norm: 6.9656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/08/03 11:19:27 - mmengine - INFO - Epoch(train) [139][240/1879] lr: 1.0000e-03 eta: 17:30:26 time: 0.2859 data_time: 0.0200 memory: 8198 grad_norm: 6.6029 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 0.9646 loss: 0.9646 2022/08/03 11:19:33 - mmengine - INFO - Epoch(train) [139][260/1879] lr: 1.0000e-03 eta: 17:30:21 time: 0.2884 data_time: 0.0241 memory: 8198 grad_norm: 6.5046 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9726 loss: 0.9726 2022/08/03 11:19:38 - mmengine - INFO - Epoch(train) [139][280/1879] lr: 1.0000e-03 eta: 17:30:15 time: 0.2827 data_time: 0.0229 memory: 8198 grad_norm: 6.6459 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1515 loss: 1.1515 2022/08/03 11:19:44 - mmengine - INFO - Epoch(train) [139][300/1879] lr: 1.0000e-03 eta: 17:30:09 time: 0.2835 data_time: 0.0250 memory: 8198 grad_norm: 6.9069 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0531 loss: 1.0531 2022/08/03 11:19:50 - mmengine - INFO - Epoch(train) [139][320/1879] lr: 1.0000e-03 eta: 17:30:04 time: 0.2829 data_time: 0.0233 memory: 8198 grad_norm: 6.8051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1543 loss: 1.1543 2022/08/03 11:19:55 - mmengine - INFO - Epoch(train) [139][340/1879] lr: 1.0000e-03 eta: 17:29:58 time: 0.2851 data_time: 0.0234 memory: 8198 grad_norm: 6.7879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0737 loss: 1.0737 2022/08/03 11:20:01 - mmengine - INFO - Epoch(train) [139][360/1879] lr: 1.0000e-03 eta: 17:29:52 time: 0.2835 data_time: 0.0234 memory: 8198 grad_norm: 6.7098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9305 loss: 0.9305 2022/08/03 11:20:07 - mmengine - INFO - Epoch(train) [139][380/1879] lr: 1.0000e-03 eta: 17:29:47 time: 0.2861 data_time: 0.0237 memory: 8198 grad_norm: 6.8395 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1310 loss: 1.1310 2022/08/03 11:20:13 - mmengine - INFO - Epoch(train) [139][400/1879] lr: 1.0000e-03 eta: 17:29:41 time: 0.2828 data_time: 0.0257 memory: 8198 grad_norm: 6.7973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9334 loss: 0.9334 2022/08/03 11:20:18 - mmengine - INFO - Epoch(train) [139][420/1879] lr: 1.0000e-03 eta: 17:29:35 time: 0.2853 data_time: 0.0231 memory: 8198 grad_norm: 6.8794 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1324 loss: 1.1324 2022/08/03 11:20:24 - mmengine - INFO - Epoch(train) [139][440/1879] lr: 1.0000e-03 eta: 17:29:30 time: 0.2910 data_time: 0.0220 memory: 8198 grad_norm: 6.6349 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0637 loss: 1.0637 2022/08/03 11:20:30 - mmengine - INFO - Epoch(train) [139][460/1879] lr: 1.0000e-03 eta: 17:29:24 time: 0.2839 data_time: 0.0242 memory: 8198 grad_norm: 6.8775 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0521 loss: 1.0521 2022/08/03 11:20:35 - mmengine - INFO - Epoch(train) [139][480/1879] lr: 1.0000e-03 eta: 17:29:18 time: 0.2836 data_time: 0.0236 memory: 8198 grad_norm: 6.7899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0709 loss: 1.0709 2022/08/03 11:20:41 - mmengine - INFO - Epoch(train) [139][500/1879] lr: 1.0000e-03 eta: 17:29:13 time: 0.2862 data_time: 0.0239 memory: 8198 grad_norm: 6.8338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2130 loss: 1.2130 2022/08/03 11:20:47 - mmengine - INFO - Epoch(train) [139][520/1879] lr: 1.0000e-03 eta: 17:29:07 time: 0.2932 data_time: 0.0181 memory: 8198 grad_norm: 6.9150 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9221 loss: 0.9221 2022/08/03 11:20:53 - mmengine - INFO - Epoch(train) [139][540/1879] lr: 1.0000e-03 eta: 17:29:01 time: 0.2839 data_time: 0.0227 memory: 8198 grad_norm: 6.7527 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0074 loss: 1.0074 2022/08/03 11:20:58 - mmengine - INFO - Epoch(train) [139][560/1879] lr: 1.0000e-03 eta: 17:28:56 time: 0.2819 data_time: 0.0216 memory: 8198 grad_norm: 6.7380 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0528 loss: 1.0528 2022/08/03 11:21:04 - mmengine - INFO - Epoch(train) [139][580/1879] lr: 1.0000e-03 eta: 17:28:50 time: 0.2867 data_time: 0.0226 memory: 8198 grad_norm: 6.8377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/08/03 11:21:10 - mmengine - INFO - Epoch(train) [139][600/1879] lr: 1.0000e-03 eta: 17:28:44 time: 0.2844 data_time: 0.0210 memory: 8198 grad_norm: 7.0922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2111 loss: 1.2111 2022/08/03 11:21:16 - mmengine - INFO - Epoch(train) [139][620/1879] lr: 1.0000e-03 eta: 17:28:39 time: 0.2841 data_time: 0.0221 memory: 8198 grad_norm: 6.8935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8321 loss: 0.8321 2022/08/03 11:21:21 - mmengine - INFO - Epoch(train) [139][640/1879] lr: 1.0000e-03 eta: 17:28:33 time: 0.2847 data_time: 0.0219 memory: 8198 grad_norm: 6.6889 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1034 loss: 1.1034 2022/08/03 11:21:27 - mmengine - INFO - Epoch(train) [139][660/1879] lr: 1.0000e-03 eta: 17:28:27 time: 0.2852 data_time: 0.0217 memory: 8198 grad_norm: 6.7399 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/03 11:21:33 - mmengine - INFO - Epoch(train) [139][680/1879] lr: 1.0000e-03 eta: 17:28:21 time: 0.2851 data_time: 0.0222 memory: 8198 grad_norm: 6.7129 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9274 loss: 0.9274 2022/08/03 11:21:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:21:38 - mmengine - INFO - Epoch(train) [139][700/1879] lr: 1.0000e-03 eta: 17:28:16 time: 0.2827 data_time: 0.0189 memory: 8198 grad_norm: 6.8092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/08/03 11:21:44 - mmengine - INFO - Epoch(train) [139][720/1879] lr: 1.0000e-03 eta: 17:28:10 time: 0.2802 data_time: 0.0185 memory: 8198 grad_norm: 6.7615 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2399 loss: 1.2399 2022/08/03 11:21:50 - mmengine - INFO - Epoch(train) [139][740/1879] lr: 1.0000e-03 eta: 17:28:04 time: 0.2864 data_time: 0.0270 memory: 8198 grad_norm: 6.9320 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0350 loss: 1.0350 2022/08/03 11:21:56 - mmengine - INFO - Epoch(train) [139][760/1879] lr: 1.0000e-03 eta: 17:27:59 time: 0.2868 data_time: 0.0247 memory: 8198 grad_norm: 6.9650 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1103 loss: 1.1103 2022/08/03 11:22:01 - mmengine - INFO - Epoch(train) [139][780/1879] lr: 1.0000e-03 eta: 17:27:53 time: 0.2806 data_time: 0.0197 memory: 8198 grad_norm: 6.5661 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8916 loss: 0.8916 2022/08/03 11:22:07 - mmengine - INFO - Epoch(train) [139][800/1879] lr: 1.0000e-03 eta: 17:27:47 time: 0.2855 data_time: 0.0235 memory: 8198 grad_norm: 6.8388 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9055 loss: 0.9055 2022/08/03 11:22:13 - mmengine - INFO - Epoch(train) [139][820/1879] lr: 1.0000e-03 eta: 17:27:42 time: 0.2843 data_time: 0.0244 memory: 8198 grad_norm: 6.9612 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0948 loss: 1.0948 2022/08/03 11:22:18 - mmengine - INFO - Epoch(train) [139][840/1879] lr: 1.0000e-03 eta: 17:27:36 time: 0.2818 data_time: 0.0240 memory: 8198 grad_norm: 6.7789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0474 loss: 1.0474 2022/08/03 11:22:24 - mmengine - INFO - Epoch(train) [139][860/1879] lr: 1.0000e-03 eta: 17:27:30 time: 0.2929 data_time: 0.0234 memory: 8198 grad_norm: 6.8246 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0049 loss: 1.0049 2022/08/03 11:22:30 - mmengine - INFO - Epoch(train) [139][880/1879] lr: 1.0000e-03 eta: 17:27:25 time: 0.2820 data_time: 0.0203 memory: 8198 grad_norm: 6.8771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/08/03 11:22:36 - mmengine - INFO - Epoch(train) [139][900/1879] lr: 1.0000e-03 eta: 17:27:19 time: 0.2842 data_time: 0.0247 memory: 8198 grad_norm: 6.9246 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/08/03 11:22:42 - mmengine - INFO - Epoch(train) [139][920/1879] lr: 1.0000e-03 eta: 17:27:14 time: 0.3224 data_time: 0.0233 memory: 8198 grad_norm: 6.7483 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/08/03 11:22:48 - mmengine - INFO - Epoch(train) [139][940/1879] lr: 1.0000e-03 eta: 17:27:08 time: 0.2833 data_time: 0.0212 memory: 8198 grad_norm: 6.7302 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2646 loss: 1.2646 2022/08/03 11:22:53 - mmengine - INFO - Epoch(train) [139][960/1879] lr: 1.0000e-03 eta: 17:27:02 time: 0.2817 data_time: 0.0239 memory: 8198 grad_norm: 7.0065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0193 loss: 1.0193 2022/08/03 11:22:59 - mmengine - INFO - Epoch(train) [139][980/1879] lr: 1.0000e-03 eta: 17:26:57 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 6.8625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/08/03 11:23:05 - mmengine - INFO - Epoch(train) [139][1000/1879] lr: 1.0000e-03 eta: 17:26:51 time: 0.2866 data_time: 0.0201 memory: 8198 grad_norm: 7.0224 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/08/03 11:23:11 - mmengine - INFO - Epoch(train) [139][1020/1879] lr: 1.0000e-03 eta: 17:26:45 time: 0.2886 data_time: 0.0263 memory: 8198 grad_norm: 6.7899 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0486 loss: 1.0486 2022/08/03 11:23:16 - mmengine - INFO - Epoch(train) [139][1040/1879] lr: 1.0000e-03 eta: 17:26:40 time: 0.2864 data_time: 0.0254 memory: 8198 grad_norm: 6.9634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/08/03 11:23:22 - mmengine - INFO - Epoch(train) [139][1060/1879] lr: 1.0000e-03 eta: 17:26:34 time: 0.2823 data_time: 0.0225 memory: 8198 grad_norm: 6.8498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0243 loss: 1.0243 2022/08/03 11:23:28 - mmengine - INFO - Epoch(train) [139][1080/1879] lr: 1.0000e-03 eta: 17:26:28 time: 0.2843 data_time: 0.0253 memory: 8198 grad_norm: 6.8638 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1324 loss: 1.1324 2022/08/03 11:23:34 - mmengine - INFO - Epoch(train) [139][1100/1879] lr: 1.0000e-03 eta: 17:26:23 time: 0.2892 data_time: 0.0251 memory: 8198 grad_norm: 6.8037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0899 loss: 1.0899 2022/08/03 11:23:39 - mmengine - INFO - Epoch(train) [139][1120/1879] lr: 1.0000e-03 eta: 17:26:17 time: 0.2860 data_time: 0.0162 memory: 8198 grad_norm: 6.8275 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9814 loss: 0.9814 2022/08/03 11:23:45 - mmengine - INFO - Epoch(train) [139][1140/1879] lr: 1.0000e-03 eta: 17:26:11 time: 0.2842 data_time: 0.0232 memory: 8198 grad_norm: 6.9744 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9569 loss: 0.9569 2022/08/03 11:23:51 - mmengine - INFO - Epoch(train) [139][1160/1879] lr: 1.0000e-03 eta: 17:26:06 time: 0.2817 data_time: 0.0211 memory: 8198 grad_norm: 6.7759 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0364 loss: 1.0364 2022/08/03 11:23:56 - mmengine - INFO - Epoch(train) [139][1180/1879] lr: 1.0000e-03 eta: 17:26:00 time: 0.2853 data_time: 0.0209 memory: 8198 grad_norm: 7.0425 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1650 loss: 1.1650 2022/08/03 11:24:02 - mmengine - INFO - Epoch(train) [139][1200/1879] lr: 1.0000e-03 eta: 17:25:54 time: 0.2849 data_time: 0.0218 memory: 8198 grad_norm: 7.1058 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1358 loss: 1.1358 2022/08/03 11:24:08 - mmengine - INFO - Epoch(train) [139][1220/1879] lr: 1.0000e-03 eta: 17:25:48 time: 0.2832 data_time: 0.0194 memory: 8198 grad_norm: 6.6385 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0999 loss: 1.0999 2022/08/03 11:24:14 - mmengine - INFO - Epoch(train) [139][1240/1879] lr: 1.0000e-03 eta: 17:25:43 time: 0.2897 data_time: 0.0287 memory: 8198 grad_norm: 6.8547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0419 loss: 1.0419 2022/08/03 11:24:19 - mmengine - INFO - Epoch(train) [139][1260/1879] lr: 1.0000e-03 eta: 17:25:37 time: 0.2877 data_time: 0.0265 memory: 8198 grad_norm: 6.9022 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9926 loss: 0.9926 2022/08/03 11:24:25 - mmengine - INFO - Epoch(train) [139][1280/1879] lr: 1.0000e-03 eta: 17:25:32 time: 0.2893 data_time: 0.0176 memory: 8198 grad_norm: 6.7313 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1339 loss: 1.1339 2022/08/03 11:24:31 - mmengine - INFO - Epoch(train) [139][1300/1879] lr: 1.0000e-03 eta: 17:25:26 time: 0.2855 data_time: 0.0255 memory: 8198 grad_norm: 6.8061 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1443 loss: 1.1443 2022/08/03 11:24:37 - mmengine - INFO - Epoch(train) [139][1320/1879] lr: 1.0000e-03 eta: 17:25:20 time: 0.2862 data_time: 0.0252 memory: 8198 grad_norm: 6.6442 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2543 loss: 1.2543 2022/08/03 11:24:42 - mmengine - INFO - Epoch(train) [139][1340/1879] lr: 1.0000e-03 eta: 17:25:15 time: 0.2823 data_time: 0.0192 memory: 8198 grad_norm: 7.0384 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1115 loss: 1.1115 2022/08/03 11:24:48 - mmengine - INFO - Epoch(train) [139][1360/1879] lr: 1.0000e-03 eta: 17:25:09 time: 0.2886 data_time: 0.0261 memory: 8198 grad_norm: 6.8427 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0328 loss: 1.0328 2022/08/03 11:24:54 - mmengine - INFO - Epoch(train) [139][1380/1879] lr: 1.0000e-03 eta: 17:25:03 time: 0.2853 data_time: 0.0219 memory: 8198 grad_norm: 6.7654 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0371 loss: 1.0371 2022/08/03 11:25:00 - mmengine - INFO - Epoch(train) [139][1400/1879] lr: 1.0000e-03 eta: 17:24:58 time: 0.2878 data_time: 0.0212 memory: 8198 grad_norm: 6.6618 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0918 loss: 1.0918 2022/08/03 11:25:05 - mmengine - INFO - Epoch(train) [139][1420/1879] lr: 1.0000e-03 eta: 17:24:52 time: 0.2902 data_time: 0.0193 memory: 8198 grad_norm: 6.7066 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9697 loss: 0.9697 2022/08/03 11:25:11 - mmengine - INFO - Epoch(train) [139][1440/1879] lr: 1.0000e-03 eta: 17:24:46 time: 0.2819 data_time: 0.0209 memory: 8198 grad_norm: 6.6519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/08/03 11:25:17 - mmengine - INFO - Epoch(train) [139][1460/1879] lr: 1.0000e-03 eta: 17:24:41 time: 0.2886 data_time: 0.0206 memory: 8198 grad_norm: 7.1425 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9966 loss: 0.9966 2022/08/03 11:25:23 - mmengine - INFO - Epoch(train) [139][1480/1879] lr: 1.0000e-03 eta: 17:24:35 time: 0.2853 data_time: 0.0220 memory: 8198 grad_norm: 6.7440 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0314 loss: 1.0314 2022/08/03 11:25:28 - mmengine - INFO - Epoch(train) [139][1500/1879] lr: 1.0000e-03 eta: 17:24:29 time: 0.2888 data_time: 0.0221 memory: 8198 grad_norm: 6.9539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/08/03 11:25:34 - mmengine - INFO - Epoch(train) [139][1520/1879] lr: 1.0000e-03 eta: 17:24:24 time: 0.2899 data_time: 0.0205 memory: 8198 grad_norm: 7.0015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0640 loss: 1.0640 2022/08/03 11:25:40 - mmengine - INFO - Epoch(train) [139][1540/1879] lr: 1.0000e-03 eta: 17:24:18 time: 0.2994 data_time: 0.0234 memory: 8198 grad_norm: 7.1612 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/08/03 11:25:46 - mmengine - INFO - Epoch(train) [139][1560/1879] lr: 1.0000e-03 eta: 17:24:13 time: 0.2818 data_time: 0.0220 memory: 8198 grad_norm: 7.0503 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0784 loss: 1.0784 2022/08/03 11:25:52 - mmengine - INFO - Epoch(train) [139][1580/1879] lr: 1.0000e-03 eta: 17:24:07 time: 0.2833 data_time: 0.0228 memory: 8198 grad_norm: 6.9360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1859 loss: 1.1859 2022/08/03 11:25:57 - mmengine - INFO - Epoch(train) [139][1600/1879] lr: 1.0000e-03 eta: 17:24:01 time: 0.2902 data_time: 0.0216 memory: 8198 grad_norm: 6.8671 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9133 loss: 0.9133 2022/08/03 11:26:03 - mmengine - INFO - Epoch(train) [139][1620/1879] lr: 1.0000e-03 eta: 17:23:56 time: 0.2847 data_time: 0.0197 memory: 8198 grad_norm: 6.7585 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0538 loss: 1.0538 2022/08/03 11:26:09 - mmengine - INFO - Epoch(train) [139][1640/1879] lr: 1.0000e-03 eta: 17:23:50 time: 0.2839 data_time: 0.0234 memory: 8198 grad_norm: 6.7373 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0394 loss: 1.0394 2022/08/03 11:26:15 - mmengine - INFO - Epoch(train) [139][1660/1879] lr: 1.0000e-03 eta: 17:23:44 time: 0.2976 data_time: 0.0219 memory: 8198 grad_norm: 6.7445 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0173 loss: 1.0173 2022/08/03 11:26:21 - mmengine - INFO - Epoch(train) [139][1680/1879] lr: 1.0000e-03 eta: 17:23:39 time: 0.2831 data_time: 0.0164 memory: 8198 grad_norm: 6.6729 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9687 loss: 0.9687 2022/08/03 11:26:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:26:26 - mmengine - INFO - Epoch(train) [139][1700/1879] lr: 1.0000e-03 eta: 17:23:33 time: 0.2862 data_time: 0.0230 memory: 8198 grad_norm: 7.1122 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1182 loss: 1.1182 2022/08/03 11:26:32 - mmengine - INFO - Epoch(train) [139][1720/1879] lr: 1.0000e-03 eta: 17:23:27 time: 0.2877 data_time: 0.0205 memory: 8198 grad_norm: 6.6227 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1547 loss: 1.1547 2022/08/03 11:26:38 - mmengine - INFO - Epoch(train) [139][1740/1879] lr: 1.0000e-03 eta: 17:23:22 time: 0.2878 data_time: 0.0292 memory: 8198 grad_norm: 6.6881 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0521 loss: 1.0521 2022/08/03 11:26:44 - mmengine - INFO - Epoch(train) [139][1760/1879] lr: 1.0000e-03 eta: 17:23:16 time: 0.2841 data_time: 0.0252 memory: 8198 grad_norm: 6.8843 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0733 loss: 1.0733 2022/08/03 11:26:49 - mmengine - INFO - Epoch(train) [139][1780/1879] lr: 1.0000e-03 eta: 17:23:10 time: 0.2853 data_time: 0.0244 memory: 8198 grad_norm: 6.9864 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1594 loss: 1.1594 2022/08/03 11:26:55 - mmengine - INFO - Epoch(train) [139][1800/1879] lr: 1.0000e-03 eta: 17:23:05 time: 0.2904 data_time: 0.0215 memory: 8198 grad_norm: 6.9650 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9978 loss: 0.9978 2022/08/03 11:27:01 - mmengine - INFO - Epoch(train) [139][1820/1879] lr: 1.0000e-03 eta: 17:22:59 time: 0.2847 data_time: 0.0295 memory: 8198 grad_norm: 6.7674 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1376 loss: 1.1376 2022/08/03 11:27:06 - mmengine - INFO - Epoch(train) [139][1840/1879] lr: 1.0000e-03 eta: 17:22:53 time: 0.2840 data_time: 0.0193 memory: 8198 grad_norm: 6.6315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/03 11:27:12 - mmengine - INFO - Epoch(train) [139][1860/1879] lr: 1.0000e-03 eta: 17:22:48 time: 0.2865 data_time: 0.0271 memory: 8198 grad_norm: 6.8538 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0647 loss: 1.0647 2022/08/03 11:27:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:27:17 - mmengine - INFO - Epoch(train) [139][1879/1879] lr: 1.0000e-03 eta: 17:22:48 time: 0.2577 data_time: 0.0169 memory: 8198 grad_norm: 6.9902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0269 loss: 1.0269 2022/08/03 11:27:26 - mmengine - INFO - Epoch(train) [140][20/1879] lr: 1.0000e-03 eta: 17:22:34 time: 0.4183 data_time: 0.1504 memory: 8198 grad_norm: 6.6625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1014 loss: 1.1014 2022/08/03 11:27:31 - mmengine - INFO - Epoch(train) [140][40/1879] lr: 1.0000e-03 eta: 17:22:29 time: 0.2855 data_time: 0.0167 memory: 8198 grad_norm: 6.6596 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0006 loss: 1.0006 2022/08/03 11:27:37 - mmengine - INFO - Epoch(train) [140][60/1879] lr: 1.0000e-03 eta: 17:22:23 time: 0.3038 data_time: 0.0212 memory: 8198 grad_norm: 6.6644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0895 loss: 1.0895 2022/08/03 11:27:43 - mmengine - INFO - Epoch(train) [140][80/1879] lr: 1.0000e-03 eta: 17:22:18 time: 0.2811 data_time: 0.0196 memory: 8198 grad_norm: 6.7619 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0131 loss: 1.0131 2022/08/03 11:27:49 - mmengine - INFO - Epoch(train) [140][100/1879] lr: 1.0000e-03 eta: 17:22:12 time: 0.2848 data_time: 0.0219 memory: 8198 grad_norm: 6.9229 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9146 loss: 0.9146 2022/08/03 11:27:54 - mmengine - INFO - Epoch(train) [140][120/1879] lr: 1.0000e-03 eta: 17:22:06 time: 0.2823 data_time: 0.0245 memory: 8198 grad_norm: 7.0796 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/03 11:28:00 - mmengine - INFO - Epoch(train) [140][140/1879] lr: 1.0000e-03 eta: 17:22:00 time: 0.2883 data_time: 0.0244 memory: 8198 grad_norm: 6.8584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/08/03 11:28:06 - mmengine - INFO - Epoch(train) [140][160/1879] lr: 1.0000e-03 eta: 17:21:55 time: 0.2820 data_time: 0.0218 memory: 8198 grad_norm: 7.0628 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/08/03 11:28:12 - mmengine - INFO - Epoch(train) [140][180/1879] lr: 1.0000e-03 eta: 17:21:49 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 6.7537 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1285 loss: 1.1285 2022/08/03 11:28:17 - mmengine - INFO - Epoch(train) [140][200/1879] lr: 1.0000e-03 eta: 17:21:43 time: 0.2877 data_time: 0.0187 memory: 8198 grad_norm: 6.8354 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1262 loss: 1.1262 2022/08/03 11:28:23 - mmengine - INFO - Epoch(train) [140][220/1879] lr: 1.0000e-03 eta: 17:21:38 time: 0.2867 data_time: 0.0248 memory: 8198 grad_norm: 7.0215 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2262 loss: 1.2262 2022/08/03 11:28:29 - mmengine - INFO - Epoch(train) [140][240/1879] lr: 1.0000e-03 eta: 17:21:32 time: 0.2867 data_time: 0.0254 memory: 8198 grad_norm: 6.8584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2079 loss: 1.2079 2022/08/03 11:28:35 - mmengine - INFO - Epoch(train) [140][260/1879] lr: 1.0000e-03 eta: 17:21:27 time: 0.2889 data_time: 0.0246 memory: 8198 grad_norm: 6.8112 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/08/03 11:28:40 - mmengine - INFO - Epoch(train) [140][280/1879] lr: 1.0000e-03 eta: 17:21:21 time: 0.2831 data_time: 0.0228 memory: 8198 grad_norm: 6.7531 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8577 loss: 0.8577 2022/08/03 11:28:46 - mmengine - INFO - Epoch(train) [140][300/1879] lr: 1.0000e-03 eta: 17:21:15 time: 0.2879 data_time: 0.0267 memory: 8198 grad_norm: 6.7938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9904 loss: 0.9904 2022/08/03 11:28:52 - mmengine - INFO - Epoch(train) [140][320/1879] lr: 1.0000e-03 eta: 17:21:09 time: 0.2859 data_time: 0.0222 memory: 8198 grad_norm: 7.0308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9875 loss: 0.9875 2022/08/03 11:28:58 - mmengine - INFO - Epoch(train) [140][340/1879] lr: 1.0000e-03 eta: 17:21:04 time: 0.3001 data_time: 0.0207 memory: 8198 grad_norm: 6.9776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/08/03 11:29:04 - mmengine - INFO - Epoch(train) [140][360/1879] lr: 1.0000e-03 eta: 17:20:58 time: 0.2831 data_time: 0.0262 memory: 8198 grad_norm: 6.7822 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0448 loss: 1.0448 2022/08/03 11:29:09 - mmengine - INFO - Epoch(train) [140][380/1879] lr: 1.0000e-03 eta: 17:20:53 time: 0.2847 data_time: 0.0251 memory: 8198 grad_norm: 6.7791 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0865 loss: 1.0865 2022/08/03 11:29:15 - mmengine - INFO - Epoch(train) [140][400/1879] lr: 1.0000e-03 eta: 17:20:47 time: 0.3033 data_time: 0.0260 memory: 8198 grad_norm: 7.0247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1276 loss: 1.1276 2022/08/03 11:29:21 - mmengine - INFO - Epoch(train) [140][420/1879] lr: 1.0000e-03 eta: 17:20:41 time: 0.2800 data_time: 0.0186 memory: 8198 grad_norm: 6.8994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1652 loss: 1.1652 2022/08/03 11:29:27 - mmengine - INFO - Epoch(train) [140][440/1879] lr: 1.0000e-03 eta: 17:20:36 time: 0.2880 data_time: 0.0281 memory: 8198 grad_norm: 6.8648 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2299 loss: 1.2299 2022/08/03 11:29:32 - mmengine - INFO - Epoch(train) [140][460/1879] lr: 1.0000e-03 eta: 17:20:30 time: 0.2829 data_time: 0.0242 memory: 8198 grad_norm: 6.9819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9140 loss: 0.9140 2022/08/03 11:29:38 - mmengine - INFO - Epoch(train) [140][480/1879] lr: 1.0000e-03 eta: 17:20:25 time: 0.2944 data_time: 0.0210 memory: 8198 grad_norm: 6.8187 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0914 loss: 1.0914 2022/08/03 11:29:44 - mmengine - INFO - Epoch(train) [140][500/1879] lr: 1.0000e-03 eta: 17:20:19 time: 0.2848 data_time: 0.0265 memory: 8198 grad_norm: 6.7859 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/08/03 11:29:50 - mmengine - INFO - Epoch(train) [140][520/1879] lr: 1.0000e-03 eta: 17:20:13 time: 0.2830 data_time: 0.0223 memory: 8198 grad_norm: 6.7731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/03 11:29:55 - mmengine - INFO - Epoch(train) [140][540/1879] lr: 1.0000e-03 eta: 17:20:08 time: 0.2847 data_time: 0.0200 memory: 8198 grad_norm: 6.8741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0503 loss: 1.0503 2022/08/03 11:30:01 - mmengine - INFO - Epoch(train) [140][560/1879] lr: 1.0000e-03 eta: 17:20:02 time: 0.2839 data_time: 0.0263 memory: 8198 grad_norm: 6.7316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0501 loss: 1.0501 2022/08/03 11:30:07 - mmengine - INFO - Epoch(train) [140][580/1879] lr: 1.0000e-03 eta: 17:19:56 time: 0.2926 data_time: 0.0315 memory: 8198 grad_norm: 6.6722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9965 loss: 0.9965 2022/08/03 11:30:13 - mmengine - INFO - Epoch(train) [140][600/1879] lr: 1.0000e-03 eta: 17:19:51 time: 0.2827 data_time: 0.0211 memory: 8198 grad_norm: 6.8723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1926 loss: 1.1926 2022/08/03 11:30:18 - mmengine - INFO - Epoch(train) [140][620/1879] lr: 1.0000e-03 eta: 17:19:45 time: 0.2828 data_time: 0.0260 memory: 8198 grad_norm: 6.7515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9932 loss: 0.9932 2022/08/03 11:30:24 - mmengine - INFO - Epoch(train) [140][640/1879] lr: 1.0000e-03 eta: 17:19:39 time: 0.2847 data_time: 0.0220 memory: 8198 grad_norm: 6.8737 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1514 loss: 1.1514 2022/08/03 11:30:30 - mmengine - INFO - Epoch(train) [140][660/1879] lr: 1.0000e-03 eta: 17:19:33 time: 0.2837 data_time: 0.0214 memory: 8198 grad_norm: 6.7701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1940 loss: 1.1940 2022/08/03 11:30:36 - mmengine - INFO - Epoch(train) [140][680/1879] lr: 1.0000e-03 eta: 17:19:28 time: 0.2943 data_time: 0.0285 memory: 8198 grad_norm: 7.0986 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/08/03 11:30:41 - mmengine - INFO - Epoch(train) [140][700/1879] lr: 1.0000e-03 eta: 17:19:22 time: 0.2815 data_time: 0.0246 memory: 8198 grad_norm: 6.7644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9537 loss: 0.9537 2022/08/03 11:30:47 - mmengine - INFO - Epoch(train) [140][720/1879] lr: 1.0000e-03 eta: 17:19:16 time: 0.2839 data_time: 0.0235 memory: 8198 grad_norm: 6.5986 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1157 loss: 1.1157 2022/08/03 11:30:53 - mmengine - INFO - Epoch(train) [140][740/1879] lr: 1.0000e-03 eta: 17:19:11 time: 0.2854 data_time: 0.0242 memory: 8198 grad_norm: 6.7407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0577 loss: 1.0577 2022/08/03 11:30:59 - mmengine - INFO - Epoch(train) [140][760/1879] lr: 1.0000e-03 eta: 17:19:05 time: 0.2840 data_time: 0.0218 memory: 8198 grad_norm: 6.9272 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1006 loss: 1.1006 2022/08/03 11:31:04 - mmengine - INFO - Epoch(train) [140][780/1879] lr: 1.0000e-03 eta: 17:18:59 time: 0.2850 data_time: 0.0219 memory: 8198 grad_norm: 6.9041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9028 loss: 0.9028 2022/08/03 11:31:10 - mmengine - INFO - Epoch(train) [140][800/1879] lr: 1.0000e-03 eta: 17:18:54 time: 0.2859 data_time: 0.0221 memory: 8198 grad_norm: 6.9567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/08/03 11:31:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:31:16 - mmengine - INFO - Epoch(train) [140][820/1879] lr: 1.0000e-03 eta: 17:18:48 time: 0.2835 data_time: 0.0258 memory: 8198 grad_norm: 6.7896 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0215 loss: 1.0215 2022/08/03 11:31:21 - mmengine - INFO - Epoch(train) [140][840/1879] lr: 1.0000e-03 eta: 17:18:42 time: 0.2810 data_time: 0.0239 memory: 8198 grad_norm: 6.8767 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/08/03 11:31:27 - mmengine - INFO - Epoch(train) [140][860/1879] lr: 1.0000e-03 eta: 17:18:37 time: 0.2863 data_time: 0.0217 memory: 8198 grad_norm: 6.7600 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0848 loss: 1.0848 2022/08/03 11:31:33 - mmengine - INFO - Epoch(train) [140][880/1879] lr: 1.0000e-03 eta: 17:18:31 time: 0.2818 data_time: 0.0226 memory: 8198 grad_norm: 6.8092 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1279 loss: 1.1279 2022/08/03 11:31:38 - mmengine - INFO - Epoch(train) [140][900/1879] lr: 1.0000e-03 eta: 17:18:25 time: 0.2877 data_time: 0.0213 memory: 8198 grad_norm: 6.8408 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1076 loss: 1.1076 2022/08/03 11:31:44 - mmengine - INFO - Epoch(train) [140][920/1879] lr: 1.0000e-03 eta: 17:18:19 time: 0.2816 data_time: 0.0201 memory: 8198 grad_norm: 6.6951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1208 loss: 1.1208 2022/08/03 11:31:50 - mmengine - INFO - Epoch(train) [140][940/1879] lr: 1.0000e-03 eta: 17:18:14 time: 0.3038 data_time: 0.0231 memory: 8198 grad_norm: 6.8544 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1914 loss: 1.1914 2022/08/03 11:31:56 - mmengine - INFO - Epoch(train) [140][960/1879] lr: 1.0000e-03 eta: 17:18:08 time: 0.2817 data_time: 0.0194 memory: 8198 grad_norm: 6.9573 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9569 loss: 0.9569 2022/08/03 11:32:02 - mmengine - INFO - Epoch(train) [140][980/1879] lr: 1.0000e-03 eta: 17:18:03 time: 0.2853 data_time: 0.0224 memory: 8198 grad_norm: 6.9871 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1031 loss: 1.1031 2022/08/03 11:32:08 - mmengine - INFO - Epoch(train) [140][1000/1879] lr: 1.0000e-03 eta: 17:17:57 time: 0.2989 data_time: 0.0227 memory: 8198 grad_norm: 6.7936 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9039 loss: 0.9039 2022/08/03 11:32:13 - mmengine - INFO - Epoch(train) [140][1020/1879] lr: 1.0000e-03 eta: 17:17:52 time: 0.2829 data_time: 0.0229 memory: 8198 grad_norm: 6.6343 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1165 loss: 1.1165 2022/08/03 11:32:19 - mmengine - INFO - Epoch(train) [140][1040/1879] lr: 1.0000e-03 eta: 17:17:46 time: 0.2833 data_time: 0.0234 memory: 8198 grad_norm: 6.7474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9516 loss: 0.9516 2022/08/03 11:32:25 - mmengine - INFO - Epoch(train) [140][1060/1879] lr: 1.0000e-03 eta: 17:17:40 time: 0.2835 data_time: 0.0206 memory: 8198 grad_norm: 7.1402 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9508 loss: 0.9508 2022/08/03 11:32:30 - mmengine - INFO - Epoch(train) [140][1080/1879] lr: 1.0000e-03 eta: 17:17:34 time: 0.2846 data_time: 0.0257 memory: 8198 grad_norm: 6.8930 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0990 loss: 1.0990 2022/08/03 11:32:36 - mmengine - INFO - Epoch(train) [140][1100/1879] lr: 1.0000e-03 eta: 17:17:29 time: 0.2871 data_time: 0.0246 memory: 8198 grad_norm: 6.8489 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9969 loss: 0.9969 2022/08/03 11:32:42 - mmengine - INFO - Epoch(train) [140][1120/1879] lr: 1.0000e-03 eta: 17:17:23 time: 0.2845 data_time: 0.0247 memory: 8198 grad_norm: 6.7961 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1593 loss: 1.1593 2022/08/03 11:32:48 - mmengine - INFO - Epoch(train) [140][1140/1879] lr: 1.0000e-03 eta: 17:17:17 time: 0.2875 data_time: 0.0255 memory: 8198 grad_norm: 6.8795 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0842 loss: 1.0842 2022/08/03 11:32:53 - mmengine - INFO - Epoch(train) [140][1160/1879] lr: 1.0000e-03 eta: 17:17:12 time: 0.2834 data_time: 0.0214 memory: 8198 grad_norm: 6.9112 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2130 loss: 1.2130 2022/08/03 11:32:59 - mmengine - INFO - Epoch(train) [140][1180/1879] lr: 1.0000e-03 eta: 17:17:06 time: 0.2890 data_time: 0.0213 memory: 8198 grad_norm: 6.6913 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9897 loss: 0.9897 2022/08/03 11:33:05 - mmengine - INFO - Epoch(train) [140][1200/1879] lr: 1.0000e-03 eta: 17:17:01 time: 0.2935 data_time: 0.0219 memory: 8198 grad_norm: 6.5785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1293 loss: 1.1293 2022/08/03 11:33:11 - mmengine - INFO - Epoch(train) [140][1220/1879] lr: 1.0000e-03 eta: 17:16:55 time: 0.2868 data_time: 0.0265 memory: 8198 grad_norm: 6.9091 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0883 loss: 1.0883 2022/08/03 11:33:16 - mmengine - INFO - Epoch(train) [140][1240/1879] lr: 1.0000e-03 eta: 17:16:49 time: 0.2829 data_time: 0.0189 memory: 8198 grad_norm: 6.6969 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9918 loss: 0.9918 2022/08/03 11:33:22 - mmengine - INFO - Epoch(train) [140][1260/1879] lr: 1.0000e-03 eta: 17:16:43 time: 0.2855 data_time: 0.0268 memory: 8198 grad_norm: 6.8898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1122 loss: 1.1122 2022/08/03 11:33:28 - mmengine - INFO - Epoch(train) [140][1280/1879] lr: 1.0000e-03 eta: 17:16:38 time: 0.2872 data_time: 0.0261 memory: 8198 grad_norm: 6.7286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8509 loss: 0.8509 2022/08/03 11:33:34 - mmengine - INFO - Epoch(train) [140][1300/1879] lr: 1.0000e-03 eta: 17:16:32 time: 0.2846 data_time: 0.0250 memory: 8198 grad_norm: 6.6900 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8489 loss: 0.8489 2022/08/03 11:33:39 - mmengine - INFO - Epoch(train) [140][1320/1879] lr: 1.0000e-03 eta: 17:16:27 time: 0.2880 data_time: 0.0256 memory: 8198 grad_norm: 7.0667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1827 loss: 1.1827 2022/08/03 11:33:45 - mmengine - INFO - Epoch(train) [140][1340/1879] lr: 1.0000e-03 eta: 17:16:21 time: 0.2844 data_time: 0.0219 memory: 8198 grad_norm: 6.7951 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0744 loss: 1.0744 2022/08/03 11:33:51 - mmengine - INFO - Epoch(train) [140][1360/1879] lr: 1.0000e-03 eta: 17:16:15 time: 0.2837 data_time: 0.0238 memory: 8198 grad_norm: 6.5877 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9212 loss: 0.9212 2022/08/03 11:33:57 - mmengine - INFO - Epoch(train) [140][1380/1879] lr: 1.0000e-03 eta: 17:16:10 time: 0.2939 data_time: 0.0243 memory: 8198 grad_norm: 6.7439 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3035 loss: 1.3035 2022/08/03 11:34:02 - mmengine - INFO - Epoch(train) [140][1400/1879] lr: 1.0000e-03 eta: 17:16:04 time: 0.2856 data_time: 0.0231 memory: 8198 grad_norm: 6.9805 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9816 loss: 0.9816 2022/08/03 11:34:08 - mmengine - INFO - Epoch(train) [140][1420/1879] lr: 1.0000e-03 eta: 17:15:58 time: 0.2955 data_time: 0.0333 memory: 8198 grad_norm: 6.5499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/08/03 11:34:14 - mmengine - INFO - Epoch(train) [140][1440/1879] lr: 1.0000e-03 eta: 17:15:53 time: 0.2815 data_time: 0.0186 memory: 8198 grad_norm: 6.9499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0609 loss: 1.0609 2022/08/03 11:34:20 - mmengine - INFO - Epoch(train) [140][1460/1879] lr: 1.0000e-03 eta: 17:15:47 time: 0.2900 data_time: 0.0257 memory: 8198 grad_norm: 6.8554 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0169 loss: 1.0169 2022/08/03 11:34:26 - mmengine - INFO - Epoch(train) [140][1480/1879] lr: 1.0000e-03 eta: 17:15:41 time: 0.2866 data_time: 0.0226 memory: 8198 grad_norm: 6.8216 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0941 loss: 1.0941 2022/08/03 11:34:31 - mmengine - INFO - Epoch(train) [140][1500/1879] lr: 1.0000e-03 eta: 17:15:36 time: 0.2877 data_time: 0.0247 memory: 8198 grad_norm: 6.7575 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/03 11:34:37 - mmengine - INFO - Epoch(train) [140][1520/1879] lr: 1.0000e-03 eta: 17:15:30 time: 0.2860 data_time: 0.0195 memory: 8198 grad_norm: 6.9029 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/08/03 11:34:43 - mmengine - INFO - Epoch(train) [140][1540/1879] lr: 1.0000e-03 eta: 17:15:24 time: 0.2849 data_time: 0.0327 memory: 8198 grad_norm: 6.8501 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2126 loss: 1.2126 2022/08/03 11:34:49 - mmengine - INFO - Epoch(train) [140][1560/1879] lr: 1.0000e-03 eta: 17:15:19 time: 0.2847 data_time: 0.0169 memory: 8198 grad_norm: 6.8558 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1145 loss: 1.1145 2022/08/03 11:34:54 - mmengine - INFO - Epoch(train) [140][1580/1879] lr: 1.0000e-03 eta: 17:15:13 time: 0.2826 data_time: 0.0261 memory: 8198 grad_norm: 6.9385 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9455 loss: 0.9455 2022/08/03 11:35:00 - mmengine - INFO - Epoch(train) [140][1600/1879] lr: 1.0000e-03 eta: 17:15:07 time: 0.2875 data_time: 0.0166 memory: 8198 grad_norm: 6.9312 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/08/03 11:35:06 - mmengine - INFO - Epoch(train) [140][1620/1879] lr: 1.0000e-03 eta: 17:15:02 time: 0.2973 data_time: 0.0192 memory: 8198 grad_norm: 6.9623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9961 loss: 0.9961 2022/08/03 11:35:12 - mmengine - INFO - Epoch(train) [140][1640/1879] lr: 1.0000e-03 eta: 17:14:56 time: 0.2805 data_time: 0.0247 memory: 8198 grad_norm: 7.1512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/08/03 11:35:17 - mmengine - INFO - Epoch(train) [140][1660/1879] lr: 1.0000e-03 eta: 17:14:51 time: 0.2900 data_time: 0.0240 memory: 8198 grad_norm: 6.9483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9620 loss: 0.9620 2022/08/03 11:35:23 - mmengine - INFO - Epoch(train) [140][1680/1879] lr: 1.0000e-03 eta: 17:14:45 time: 0.2868 data_time: 0.0268 memory: 8198 grad_norm: 6.8980 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9516 loss: 0.9516 2022/08/03 11:35:29 - mmengine - INFO - Epoch(train) [140][1700/1879] lr: 1.0000e-03 eta: 17:14:39 time: 0.2866 data_time: 0.0187 memory: 8198 grad_norm: 7.0433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3194 loss: 1.3194 2022/08/03 11:35:35 - mmengine - INFO - Epoch(train) [140][1720/1879] lr: 1.0000e-03 eta: 17:14:33 time: 0.2791 data_time: 0.0191 memory: 8198 grad_norm: 6.8423 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9229 loss: 0.9229 2022/08/03 11:35:40 - mmengine - INFO - Epoch(train) [140][1740/1879] lr: 1.0000e-03 eta: 17:14:28 time: 0.2928 data_time: 0.0221 memory: 8198 grad_norm: 6.6571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/08/03 11:35:46 - mmengine - INFO - Epoch(train) [140][1760/1879] lr: 1.0000e-03 eta: 17:14:22 time: 0.2840 data_time: 0.0223 memory: 8198 grad_norm: 6.8279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0709 loss: 1.0709 2022/08/03 11:35:52 - mmengine - INFO - Epoch(train) [140][1780/1879] lr: 1.0000e-03 eta: 17:14:16 time: 0.2808 data_time: 0.0202 memory: 8198 grad_norm: 7.2148 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9784 loss: 0.9784 2022/08/03 11:35:58 - mmengine - INFO - Epoch(train) [140][1800/1879] lr: 1.0000e-03 eta: 17:14:11 time: 0.2908 data_time: 0.0278 memory: 8198 grad_norm: 6.7078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9791 loss: 0.9791 2022/08/03 11:36:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:36:03 - mmengine - INFO - Epoch(train) [140][1820/1879] lr: 1.0000e-03 eta: 17:14:05 time: 0.2831 data_time: 0.0260 memory: 8198 grad_norm: 6.7379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0897 loss: 1.0897 2022/08/03 11:36:09 - mmengine - INFO - Epoch(train) [140][1840/1879] lr: 1.0000e-03 eta: 17:13:59 time: 0.2846 data_time: 0.0203 memory: 8198 grad_norm: 6.8186 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0546 loss: 1.0546 2022/08/03 11:36:15 - mmengine - INFO - Epoch(train) [140][1860/1879] lr: 1.0000e-03 eta: 17:13:54 time: 0.2841 data_time: 0.0204 memory: 8198 grad_norm: 7.0042 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0361 loss: 1.0361 2022/08/03 11:36:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:36:20 - mmengine - INFO - Epoch(train) [140][1879/1879] lr: 1.0000e-03 eta: 17:13:54 time: 0.2560 data_time: 0.0148 memory: 8198 grad_norm: 6.8437 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0087 loss: 1.0087 2022/08/03 11:36:20 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/03 11:36:28 - mmengine - INFO - Epoch(val) [140][20/155] eta: 0:00:44 time: 0.3312 data_time: 0.2395 memory: 1514 2022/08/03 11:36:33 - mmengine - INFO - Epoch(val) [140][40/155] eta: 0:00:28 time: 0.2454 data_time: 0.1570 memory: 1514 2022/08/03 11:36:39 - mmengine - INFO - Epoch(val) [140][60/155] eta: 0:00:26 time: 0.2828 data_time: 0.1954 memory: 1514 2022/08/03 11:36:44 - mmengine - INFO - Epoch(val) [140][80/155] eta: 0:00:18 time: 0.2473 data_time: 0.1601 memory: 1514 2022/08/03 11:36:50 - mmengine - INFO - Epoch(val) [140][100/155] eta: 0:00:17 time: 0.3112 data_time: 0.2199 memory: 1514 2022/08/03 11:36:55 - mmengine - INFO - Epoch(val) [140][120/155] eta: 0:00:08 time: 0.2290 data_time: 0.1424 memory: 1514 2022/08/03 11:37:01 - mmengine - INFO - Epoch(val) [140][140/155] eta: 0:00:04 time: 0.3058 data_time: 0.2232 memory: 1514 2022/08/03 11:37:06 - mmengine - INFO - Epoch(val) [140][155/155] acc/top1: 0.6784 acc/top5: 0.8688 acc/mean1: 0.6783 2022/08/03 11:37:14 - mmengine - INFO - Epoch(train) [141][20/1879] lr: 1.0000e-04 eta: 17:13:40 time: 0.4176 data_time: 0.1160 memory: 8198 grad_norm: 6.7364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0231 loss: 1.0231 2022/08/03 11:37:20 - mmengine - INFO - Epoch(train) [141][40/1879] lr: 1.0000e-04 eta: 17:13:35 time: 0.2871 data_time: 0.0200 memory: 8198 grad_norm: 6.8144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/08/03 11:37:26 - mmengine - INFO - Epoch(train) [141][60/1879] lr: 1.0000e-04 eta: 17:13:29 time: 0.3101 data_time: 0.0237 memory: 8198 grad_norm: 6.7259 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/08/03 11:37:32 - mmengine - INFO - Epoch(train) [141][80/1879] lr: 1.0000e-04 eta: 17:13:24 time: 0.2787 data_time: 0.0161 memory: 8198 grad_norm: 6.9038 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1847 loss: 1.1847 2022/08/03 11:37:37 - mmengine - INFO - Epoch(train) [141][100/1879] lr: 1.0000e-04 eta: 17:13:18 time: 0.2868 data_time: 0.0216 memory: 8198 grad_norm: 6.8439 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1165 loss: 1.1165 2022/08/03 11:37:43 - mmengine - INFO - Epoch(train) [141][120/1879] lr: 1.0000e-04 eta: 17:13:12 time: 0.2837 data_time: 0.0183 memory: 8198 grad_norm: 6.5108 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9333 loss: 0.9333 2022/08/03 11:37:49 - mmengine - INFO - Epoch(train) [141][140/1879] lr: 1.0000e-04 eta: 17:13:07 time: 0.2970 data_time: 0.0235 memory: 8198 grad_norm: 6.8695 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1141 loss: 1.1141 2022/08/03 11:37:55 - mmengine - INFO - Epoch(train) [141][160/1879] lr: 1.0000e-04 eta: 17:13:01 time: 0.2822 data_time: 0.0226 memory: 8198 grad_norm: 6.7794 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1604 loss: 1.1604 2022/08/03 11:38:01 - mmengine - INFO - Epoch(train) [141][180/1879] lr: 1.0000e-04 eta: 17:12:55 time: 0.2900 data_time: 0.0223 memory: 8198 grad_norm: 7.0379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0860 loss: 1.0860 2022/08/03 11:38:06 - mmengine - INFO - Epoch(train) [141][200/1879] lr: 1.0000e-04 eta: 17:12:50 time: 0.2881 data_time: 0.0238 memory: 8198 grad_norm: 6.6204 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1403 loss: 1.1403 2022/08/03 11:38:12 - mmengine - INFO - Epoch(train) [141][220/1879] lr: 1.0000e-04 eta: 17:12:44 time: 0.2816 data_time: 0.0170 memory: 8198 grad_norm: 6.8865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/08/03 11:38:18 - mmengine - INFO - Epoch(train) [141][240/1879] lr: 1.0000e-04 eta: 17:12:38 time: 0.2833 data_time: 0.0215 memory: 8198 grad_norm: 6.6530 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9831 loss: 0.9831 2022/08/03 11:38:23 - mmengine - INFO - Epoch(train) [141][260/1879] lr: 1.0000e-04 eta: 17:12:33 time: 0.2856 data_time: 0.0240 memory: 8198 grad_norm: 6.6981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2359 loss: 1.2359 2022/08/03 11:38:29 - mmengine - INFO - Epoch(train) [141][280/1879] lr: 1.0000e-04 eta: 17:12:27 time: 0.2988 data_time: 0.0228 memory: 8198 grad_norm: 6.6711 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1818 loss: 1.1818 2022/08/03 11:38:35 - mmengine - INFO - Epoch(train) [141][300/1879] lr: 1.0000e-04 eta: 17:12:22 time: 0.2872 data_time: 0.0271 memory: 8198 grad_norm: 6.7931 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0859 loss: 1.0859 2022/08/03 11:38:41 - mmengine - INFO - Epoch(train) [141][320/1879] lr: 1.0000e-04 eta: 17:12:16 time: 0.2859 data_time: 0.0265 memory: 8198 grad_norm: 6.8812 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0500 loss: 1.0500 2022/08/03 11:38:47 - mmengine - INFO - Epoch(train) [141][340/1879] lr: 1.0000e-04 eta: 17:12:10 time: 0.3011 data_time: 0.0250 memory: 8198 grad_norm: 6.8473 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0209 loss: 1.0209 2022/08/03 11:38:53 - mmengine - INFO - Epoch(train) [141][360/1879] lr: 1.0000e-04 eta: 17:12:05 time: 0.2833 data_time: 0.0232 memory: 8198 grad_norm: 6.6551 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9753 loss: 0.9753 2022/08/03 11:38:58 - mmengine - INFO - Epoch(train) [141][380/1879] lr: 1.0000e-04 eta: 17:11:59 time: 0.2860 data_time: 0.0234 memory: 8198 grad_norm: 6.8580 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1134 loss: 1.1134 2022/08/03 11:39:04 - mmengine - INFO - Epoch(train) [141][400/1879] lr: 1.0000e-04 eta: 17:11:53 time: 0.2879 data_time: 0.0198 memory: 8198 grad_norm: 6.7909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0309 loss: 1.0309 2022/08/03 11:39:10 - mmengine - INFO - Epoch(train) [141][420/1879] lr: 1.0000e-04 eta: 17:11:48 time: 0.2871 data_time: 0.0212 memory: 8198 grad_norm: 6.8945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/08/03 11:39:16 - mmengine - INFO - Epoch(train) [141][440/1879] lr: 1.0000e-04 eta: 17:11:42 time: 0.2828 data_time: 0.0234 memory: 8198 grad_norm: 6.6175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0235 loss: 1.0235 2022/08/03 11:39:21 - mmengine - INFO - Epoch(train) [141][460/1879] lr: 1.0000e-04 eta: 17:11:36 time: 0.2848 data_time: 0.0207 memory: 8198 grad_norm: 7.0483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/08/03 11:39:27 - mmengine - INFO - Epoch(train) [141][480/1879] lr: 1.0000e-04 eta: 17:11:31 time: 0.2959 data_time: 0.0179 memory: 8198 grad_norm: 6.7465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/08/03 11:39:33 - mmengine - INFO - Epoch(train) [141][500/1879] lr: 1.0000e-04 eta: 17:11:25 time: 0.2931 data_time: 0.0332 memory: 8198 grad_norm: 6.6723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9073 loss: 0.9073 2022/08/03 11:39:39 - mmengine - INFO - Epoch(train) [141][520/1879] lr: 1.0000e-04 eta: 17:11:20 time: 0.2798 data_time: 0.0225 memory: 8198 grad_norm: 6.8444 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2629 loss: 1.2629 2022/08/03 11:39:44 - mmengine - INFO - Epoch(train) [141][540/1879] lr: 1.0000e-04 eta: 17:11:14 time: 0.2872 data_time: 0.0211 memory: 8198 grad_norm: 6.7775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2445 loss: 1.2445 2022/08/03 11:39:50 - mmengine - INFO - Epoch(train) [141][560/1879] lr: 1.0000e-04 eta: 17:11:08 time: 0.2843 data_time: 0.0231 memory: 8198 grad_norm: 6.7157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0300 loss: 1.0300 2022/08/03 11:39:56 - mmengine - INFO - Epoch(train) [141][580/1879] lr: 1.0000e-04 eta: 17:11:03 time: 0.2853 data_time: 0.0290 memory: 8198 grad_norm: 6.7030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9648 loss: 0.9648 2022/08/03 11:40:02 - mmengine - INFO - Epoch(train) [141][600/1879] lr: 1.0000e-04 eta: 17:10:57 time: 0.2830 data_time: 0.0245 memory: 8198 grad_norm: 6.8563 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/03 11:40:07 - mmengine - INFO - Epoch(train) [141][620/1879] lr: 1.0000e-04 eta: 17:10:51 time: 0.2879 data_time: 0.0290 memory: 8198 grad_norm: 6.4833 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8940 loss: 0.8940 2022/08/03 11:40:13 - mmengine - INFO - Epoch(train) [141][640/1879] lr: 1.0000e-04 eta: 17:10:45 time: 0.2823 data_time: 0.0191 memory: 8198 grad_norm: 6.8302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0327 loss: 1.0327 2022/08/03 11:40:19 - mmengine - INFO - Epoch(train) [141][660/1879] lr: 1.0000e-04 eta: 17:10:40 time: 0.2889 data_time: 0.0220 memory: 8198 grad_norm: 6.7942 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1425 loss: 1.1425 2022/08/03 11:40:25 - mmengine - INFO - Epoch(train) [141][680/1879] lr: 1.0000e-04 eta: 17:10:34 time: 0.2864 data_time: 0.0222 memory: 8198 grad_norm: 6.7675 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9713 loss: 0.9713 2022/08/03 11:40:30 - mmengine - INFO - Epoch(train) [141][700/1879] lr: 1.0000e-04 eta: 17:10:29 time: 0.2859 data_time: 0.0227 memory: 8198 grad_norm: 6.8587 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0259 loss: 1.0259 2022/08/03 11:40:36 - mmengine - INFO - Epoch(train) [141][720/1879] lr: 1.0000e-04 eta: 17:10:23 time: 0.2843 data_time: 0.0233 memory: 8198 grad_norm: 6.8356 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0924 loss: 1.0924 2022/08/03 11:40:42 - mmengine - INFO - Epoch(train) [141][740/1879] lr: 1.0000e-04 eta: 17:10:17 time: 0.2853 data_time: 0.0270 memory: 8198 grad_norm: 6.8124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/08/03 11:40:48 - mmengine - INFO - Epoch(train) [141][760/1879] lr: 1.0000e-04 eta: 17:10:11 time: 0.2866 data_time: 0.0252 memory: 8198 grad_norm: 6.6071 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1875 loss: 1.1875 2022/08/03 11:40:53 - mmengine - INFO - Epoch(train) [141][780/1879] lr: 1.0000e-04 eta: 17:10:06 time: 0.2843 data_time: 0.0236 memory: 8198 grad_norm: 6.8089 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9764 loss: 0.9764 2022/08/03 11:40:59 - mmengine - INFO - Epoch(train) [141][800/1879] lr: 1.0000e-04 eta: 17:10:00 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 6.7848 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0392 loss: 1.0392 2022/08/03 11:41:05 - mmengine - INFO - Epoch(train) [141][820/1879] lr: 1.0000e-04 eta: 17:09:54 time: 0.2841 data_time: 0.0240 memory: 8198 grad_norm: 6.9153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9358 loss: 0.9358 2022/08/03 11:41:11 - mmengine - INFO - Epoch(train) [141][840/1879] lr: 1.0000e-04 eta: 17:09:49 time: 0.2952 data_time: 0.0185 memory: 8198 grad_norm: 6.8916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/08/03 11:41:16 - mmengine - INFO - Epoch(train) [141][860/1879] lr: 1.0000e-04 eta: 17:09:43 time: 0.2850 data_time: 0.0211 memory: 8198 grad_norm: 6.8222 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1753 loss: 1.1753 2022/08/03 11:41:22 - mmengine - INFO - Epoch(train) [141][880/1879] lr: 1.0000e-04 eta: 17:09:38 time: 0.2873 data_time: 0.0191 memory: 8198 grad_norm: 6.9157 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/08/03 11:41:28 - mmengine - INFO - Epoch(train) [141][900/1879] lr: 1.0000e-04 eta: 17:09:32 time: 0.2860 data_time: 0.0233 memory: 8198 grad_norm: 6.7253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0732 loss: 1.0732 2022/08/03 11:41:33 - mmengine - INFO - Epoch(train) [141][920/1879] lr: 1.0000e-04 eta: 17:09:26 time: 0.2821 data_time: 0.0179 memory: 8198 grad_norm: 6.8430 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3079 loss: 1.3079 2022/08/03 11:41:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:41:39 - mmengine - INFO - Epoch(train) [141][940/1879] lr: 1.0000e-04 eta: 17:09:21 time: 0.2865 data_time: 0.0258 memory: 8198 grad_norm: 6.5603 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/08/03 11:41:45 - mmengine - INFO - Epoch(train) [141][960/1879] lr: 1.0000e-04 eta: 17:09:15 time: 0.2839 data_time: 0.0191 memory: 8198 grad_norm: 6.7594 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0068 loss: 1.0068 2022/08/03 11:41:51 - mmengine - INFO - Epoch(train) [141][980/1879] lr: 1.0000e-04 eta: 17:09:09 time: 0.2839 data_time: 0.0219 memory: 8198 grad_norm: 6.5284 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7603 loss: 0.7603 2022/08/03 11:41:56 - mmengine - INFO - Epoch(train) [141][1000/1879] lr: 1.0000e-04 eta: 17:09:03 time: 0.2816 data_time: 0.0219 memory: 8198 grad_norm: 6.5188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0238 loss: 1.0238 2022/08/03 11:42:02 - mmengine - INFO - Epoch(train) [141][1020/1879] lr: 1.0000e-04 eta: 17:08:58 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 6.6559 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/08/03 11:42:08 - mmengine - INFO - Epoch(train) [141][1040/1879] lr: 1.0000e-04 eta: 17:08:52 time: 0.2891 data_time: 0.0256 memory: 8198 grad_norm: 7.0028 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0380 loss: 1.0380 2022/08/03 11:42:13 - mmengine - INFO - Epoch(train) [141][1060/1879] lr: 1.0000e-04 eta: 17:08:46 time: 0.2829 data_time: 0.0225 memory: 8198 grad_norm: 6.6532 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0838 loss: 1.0838 2022/08/03 11:42:19 - mmengine - INFO - Epoch(train) [141][1080/1879] lr: 1.0000e-04 eta: 17:08:41 time: 0.2841 data_time: 0.0201 memory: 8198 grad_norm: 6.7112 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9579 loss: 0.9579 2022/08/03 11:42:25 - mmengine - INFO - Epoch(train) [141][1100/1879] lr: 1.0000e-04 eta: 17:08:35 time: 0.2833 data_time: 0.0221 memory: 8198 grad_norm: 6.8507 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0640 loss: 1.0640 2022/08/03 11:42:31 - mmengine - INFO - Epoch(train) [141][1120/1879] lr: 1.0000e-04 eta: 17:08:29 time: 0.2888 data_time: 0.0204 memory: 8198 grad_norm: 6.6611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/08/03 11:42:37 - mmengine - INFO - Epoch(train) [141][1140/1879] lr: 1.0000e-04 eta: 17:08:24 time: 0.2913 data_time: 0.0334 memory: 8198 grad_norm: 6.9042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0836 loss: 1.0836 2022/08/03 11:42:42 - mmengine - INFO - Epoch(train) [141][1160/1879] lr: 1.0000e-04 eta: 17:08:18 time: 0.2833 data_time: 0.0198 memory: 8198 grad_norm: 6.6765 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0777 loss: 1.0777 2022/08/03 11:42:48 - mmengine - INFO - Epoch(train) [141][1180/1879] lr: 1.0000e-04 eta: 17:08:12 time: 0.2857 data_time: 0.0252 memory: 8198 grad_norm: 6.9574 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0393 loss: 1.0393 2022/08/03 11:42:54 - mmengine - INFO - Epoch(train) [141][1200/1879] lr: 1.0000e-04 eta: 17:08:07 time: 0.2835 data_time: 0.0188 memory: 8198 grad_norm: 6.6739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0089 loss: 1.0089 2022/08/03 11:42:59 - mmengine - INFO - Epoch(train) [141][1220/1879] lr: 1.0000e-04 eta: 17:08:01 time: 0.2869 data_time: 0.0215 memory: 8198 grad_norm: 6.8115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1162 loss: 1.1162 2022/08/03 11:43:05 - mmengine - INFO - Epoch(train) [141][1240/1879] lr: 1.0000e-04 eta: 17:07:55 time: 0.2814 data_time: 0.0228 memory: 8198 grad_norm: 6.8528 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1412 loss: 1.1412 2022/08/03 11:43:11 - mmengine - INFO - Epoch(train) [141][1260/1879] lr: 1.0000e-04 eta: 17:07:50 time: 0.2909 data_time: 0.0229 memory: 8198 grad_norm: 6.8181 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9793 loss: 0.9793 2022/08/03 11:43:17 - mmengine - INFO - Epoch(train) [141][1280/1879] lr: 1.0000e-04 eta: 17:07:44 time: 0.2866 data_time: 0.0242 memory: 8198 grad_norm: 6.9973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0157 loss: 1.0157 2022/08/03 11:43:22 - mmengine - INFO - Epoch(train) [141][1300/1879] lr: 1.0000e-04 eta: 17:07:38 time: 0.2834 data_time: 0.0246 memory: 8198 grad_norm: 6.7582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9768 loss: 0.9768 2022/08/03 11:43:28 - mmengine - INFO - Epoch(train) [141][1320/1879] lr: 1.0000e-04 eta: 17:07:33 time: 0.2833 data_time: 0.0252 memory: 8198 grad_norm: 6.5334 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1595 loss: 1.1595 2022/08/03 11:43:34 - mmengine - INFO - Epoch(train) [141][1340/1879] lr: 1.0000e-04 eta: 17:07:27 time: 0.2853 data_time: 0.0243 memory: 8198 grad_norm: 6.6256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9535 loss: 0.9535 2022/08/03 11:43:39 - mmengine - INFO - Epoch(train) [141][1360/1879] lr: 1.0000e-04 eta: 17:07:21 time: 0.2819 data_time: 0.0206 memory: 8198 grad_norm: 6.9361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/08/03 11:43:45 - mmengine - INFO - Epoch(train) [141][1380/1879] lr: 1.0000e-04 eta: 17:07:15 time: 0.2851 data_time: 0.0269 memory: 8198 grad_norm: 6.4302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8906 loss: 0.8906 2022/08/03 11:43:51 - mmengine - INFO - Epoch(train) [141][1400/1879] lr: 1.0000e-04 eta: 17:07:10 time: 0.2875 data_time: 0.0226 memory: 8198 grad_norm: 6.6950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/08/03 11:43:57 - mmengine - INFO - Epoch(train) [141][1420/1879] lr: 1.0000e-04 eta: 17:07:04 time: 0.2910 data_time: 0.0260 memory: 8198 grad_norm: 6.7712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9675 loss: 0.9675 2022/08/03 11:44:02 - mmengine - INFO - Epoch(train) [141][1440/1879] lr: 1.0000e-04 eta: 17:06:59 time: 0.2821 data_time: 0.0234 memory: 8198 grad_norm: 6.8377 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0320 loss: 1.0320 2022/08/03 11:44:08 - mmengine - INFO - Epoch(train) [141][1460/1879] lr: 1.0000e-04 eta: 17:06:53 time: 0.2867 data_time: 0.0244 memory: 8198 grad_norm: 6.9954 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0510 loss: 1.0510 2022/08/03 11:44:14 - mmengine - INFO - Epoch(train) [141][1480/1879] lr: 1.0000e-04 eta: 17:06:47 time: 0.2834 data_time: 0.0231 memory: 8198 grad_norm: 6.7457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8931 loss: 0.8931 2022/08/03 11:44:20 - mmengine - INFO - Epoch(train) [141][1500/1879] lr: 1.0000e-04 eta: 17:06:41 time: 0.2860 data_time: 0.0278 memory: 8198 grad_norm: 6.4417 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9694 loss: 0.9694 2022/08/03 11:44:25 - mmengine - INFO - Epoch(train) [141][1520/1879] lr: 1.0000e-04 eta: 17:06:36 time: 0.2842 data_time: 0.0245 memory: 8198 grad_norm: 6.6930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/08/03 11:44:31 - mmengine - INFO - Epoch(train) [141][1540/1879] lr: 1.0000e-04 eta: 17:06:30 time: 0.2865 data_time: 0.0248 memory: 8198 grad_norm: 6.7430 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0478 loss: 1.0478 2022/08/03 11:44:37 - mmengine - INFO - Epoch(train) [141][1560/1879] lr: 1.0000e-04 eta: 17:06:24 time: 0.2845 data_time: 0.0169 memory: 8198 grad_norm: 6.5650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0725 loss: 1.0725 2022/08/03 11:44:43 - mmengine - INFO - Epoch(train) [141][1580/1879] lr: 1.0000e-04 eta: 17:06:19 time: 0.2880 data_time: 0.0261 memory: 8198 grad_norm: 6.7587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/03 11:44:48 - mmengine - INFO - Epoch(train) [141][1600/1879] lr: 1.0000e-04 eta: 17:06:13 time: 0.2923 data_time: 0.0215 memory: 8198 grad_norm: 6.7097 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9355 loss: 0.9355 2022/08/03 11:44:54 - mmengine - INFO - Epoch(train) [141][1620/1879] lr: 1.0000e-04 eta: 17:06:08 time: 0.2843 data_time: 0.0227 memory: 8198 grad_norm: 6.8312 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0018 loss: 1.0018 2022/08/03 11:45:00 - mmengine - INFO - Epoch(train) [141][1640/1879] lr: 1.0000e-04 eta: 17:06:02 time: 0.2836 data_time: 0.0193 memory: 8198 grad_norm: 6.8343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1095 loss: 1.1095 2022/08/03 11:45:06 - mmengine - INFO - Epoch(train) [141][1660/1879] lr: 1.0000e-04 eta: 17:05:56 time: 0.2840 data_time: 0.0252 memory: 8198 grad_norm: 6.7334 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0325 loss: 1.0325 2022/08/03 11:45:11 - mmengine - INFO - Epoch(train) [141][1680/1879] lr: 1.0000e-04 eta: 17:05:51 time: 0.2969 data_time: 0.0211 memory: 8198 grad_norm: 6.8795 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/08/03 11:45:17 - mmengine - INFO - Epoch(train) [141][1700/1879] lr: 1.0000e-04 eta: 17:05:45 time: 0.2895 data_time: 0.0302 memory: 8198 grad_norm: 6.7673 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0280 loss: 1.0280 2022/08/03 11:45:23 - mmengine - INFO - Epoch(train) [141][1720/1879] lr: 1.0000e-04 eta: 17:05:39 time: 0.2866 data_time: 0.0199 memory: 8198 grad_norm: 6.8357 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0968 loss: 1.0968 2022/08/03 11:45:29 - mmengine - INFO - Epoch(train) [141][1740/1879] lr: 1.0000e-04 eta: 17:05:34 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 6.5792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9300 loss: 0.9300 2022/08/03 11:45:34 - mmengine - INFO - Epoch(train) [141][1760/1879] lr: 1.0000e-04 eta: 17:05:28 time: 0.2829 data_time: 0.0163 memory: 8198 grad_norm: 6.5711 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1243 loss: 1.1243 2022/08/03 11:45:40 - mmengine - INFO - Epoch(train) [141][1780/1879] lr: 1.0000e-04 eta: 17:05:22 time: 0.2832 data_time: 0.0216 memory: 8198 grad_norm: 6.8407 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/08/03 11:45:46 - mmengine - INFO - Epoch(train) [141][1800/1879] lr: 1.0000e-04 eta: 17:05:17 time: 0.2852 data_time: 0.0210 memory: 8198 grad_norm: 6.6950 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9012 loss: 0.9012 2022/08/03 11:45:52 - mmengine - INFO - Epoch(train) [141][1820/1879] lr: 1.0000e-04 eta: 17:05:11 time: 0.2820 data_time: 0.0223 memory: 8198 grad_norm: 6.8479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0717 loss: 1.0717 2022/08/03 11:45:57 - mmengine - INFO - Epoch(train) [141][1840/1879] lr: 1.0000e-04 eta: 17:05:05 time: 0.2893 data_time: 0.0277 memory: 8198 grad_norm: 6.7461 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0611 loss: 1.0611 2022/08/03 11:46:03 - mmengine - INFO - Epoch(train) [141][1860/1879] lr: 1.0000e-04 eta: 17:05:00 time: 0.2846 data_time: 0.0209 memory: 8198 grad_norm: 6.9811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/03 11:46:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:46:08 - mmengine - INFO - Epoch(train) [141][1879/1879] lr: 1.0000e-04 eta: 17:05:00 time: 0.2618 data_time: 0.0162 memory: 8198 grad_norm: 6.6883 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8321 loss: 0.8321 2022/08/03 11:46:16 - mmengine - INFO - Epoch(train) [142][20/1879] lr: 1.0000e-04 eta: 17:04:46 time: 0.4080 data_time: 0.1140 memory: 8198 grad_norm: 6.7972 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0933 loss: 1.0933 2022/08/03 11:46:22 - mmengine - INFO - Epoch(train) [142][40/1879] lr: 1.0000e-04 eta: 17:04:40 time: 0.2839 data_time: 0.0253 memory: 8198 grad_norm: 6.8658 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7237 loss: 0.7237 2022/08/03 11:46:28 - mmengine - INFO - Epoch(train) [142][60/1879] lr: 1.0000e-04 eta: 17:04:35 time: 0.3081 data_time: 0.0222 memory: 8198 grad_norm: 6.8733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0705 loss: 1.0705 2022/08/03 11:46:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:46:34 - mmengine - INFO - Epoch(train) [142][80/1879] lr: 1.0000e-04 eta: 17:04:29 time: 0.2922 data_time: 0.0240 memory: 8198 grad_norm: 6.9155 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0152 loss: 1.0152 2022/08/03 11:46:40 - mmengine - INFO - Epoch(train) [142][100/1879] lr: 1.0000e-04 eta: 17:04:24 time: 0.2858 data_time: 0.0178 memory: 8198 grad_norm: 6.7740 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9964 loss: 0.9964 2022/08/03 11:46:45 - mmengine - INFO - Epoch(train) [142][120/1879] lr: 1.0000e-04 eta: 17:04:18 time: 0.2827 data_time: 0.0234 memory: 8198 grad_norm: 6.7741 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/08/03 11:46:51 - mmengine - INFO - Epoch(train) [142][140/1879] lr: 1.0000e-04 eta: 17:04:12 time: 0.2871 data_time: 0.0299 memory: 8198 grad_norm: 6.6344 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9758 loss: 0.9758 2022/08/03 11:46:57 - mmengine - INFO - Epoch(train) [142][160/1879] lr: 1.0000e-04 eta: 17:04:07 time: 0.2811 data_time: 0.0173 memory: 8198 grad_norm: 6.6106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/03 11:47:03 - mmengine - INFO - Epoch(train) [142][180/1879] lr: 1.0000e-04 eta: 17:04:01 time: 0.2818 data_time: 0.0223 memory: 8198 grad_norm: 6.7629 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0319 loss: 1.0319 2022/08/03 11:47:09 - mmengine - INFO - Epoch(train) [142][200/1879] lr: 1.0000e-04 eta: 17:03:56 time: 0.2996 data_time: 0.0211 memory: 8198 grad_norm: 6.8565 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9946 loss: 0.9946 2022/08/03 11:47:14 - mmengine - INFO - Epoch(train) [142][220/1879] lr: 1.0000e-04 eta: 17:03:50 time: 0.2818 data_time: 0.0216 memory: 8198 grad_norm: 6.5723 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9865 loss: 0.9865 2022/08/03 11:47:20 - mmengine - INFO - Epoch(train) [142][240/1879] lr: 1.0000e-04 eta: 17:03:44 time: 0.2855 data_time: 0.0244 memory: 8198 grad_norm: 6.8018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0312 loss: 1.0312 2022/08/03 11:47:26 - mmengine - INFO - Epoch(train) [142][260/1879] lr: 1.0000e-04 eta: 17:03:38 time: 0.2847 data_time: 0.0214 memory: 8198 grad_norm: 6.9255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0923 loss: 1.0923 2022/08/03 11:47:32 - mmengine - INFO - Epoch(train) [142][280/1879] lr: 1.0000e-04 eta: 17:03:33 time: 0.3037 data_time: 0.0219 memory: 8198 grad_norm: 6.7877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0133 loss: 1.0133 2022/08/03 11:47:37 - mmengine - INFO - Epoch(train) [142][300/1879] lr: 1.0000e-04 eta: 17:03:27 time: 0.2856 data_time: 0.0235 memory: 8198 grad_norm: 6.6498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/08/03 11:47:43 - mmengine - INFO - Epoch(train) [142][320/1879] lr: 1.0000e-04 eta: 17:03:22 time: 0.2837 data_time: 0.0229 memory: 8198 grad_norm: 6.6411 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0393 loss: 1.0393 2022/08/03 11:47:49 - mmengine - INFO - Epoch(train) [142][340/1879] lr: 1.0000e-04 eta: 17:03:16 time: 0.2937 data_time: 0.0211 memory: 8198 grad_norm: 7.0670 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1709 loss: 1.1709 2022/08/03 11:47:55 - mmengine - INFO - Epoch(train) [142][360/1879] lr: 1.0000e-04 eta: 17:03:10 time: 0.2834 data_time: 0.0218 memory: 8198 grad_norm: 6.7726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9772 loss: 0.9772 2022/08/03 11:48:00 - mmengine - INFO - Epoch(train) [142][380/1879] lr: 1.0000e-04 eta: 17:03:05 time: 0.2849 data_time: 0.0191 memory: 8198 grad_norm: 6.6947 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.1539 loss: 1.1539 2022/08/03 11:48:06 - mmengine - INFO - Epoch(train) [142][400/1879] lr: 1.0000e-04 eta: 17:02:59 time: 0.2829 data_time: 0.0217 memory: 8198 grad_norm: 7.0619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9993 loss: 0.9993 2022/08/03 11:48:12 - mmengine - INFO - Epoch(train) [142][420/1879] lr: 1.0000e-04 eta: 17:02:53 time: 0.2870 data_time: 0.0210 memory: 8198 grad_norm: 6.8097 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/03 11:48:18 - mmengine - INFO - Epoch(train) [142][440/1879] lr: 1.0000e-04 eta: 17:02:48 time: 0.2875 data_time: 0.0231 memory: 8198 grad_norm: 6.7562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9488 loss: 0.9488 2022/08/03 11:48:24 - mmengine - INFO - Epoch(train) [142][460/1879] lr: 1.0000e-04 eta: 17:02:42 time: 0.2892 data_time: 0.0225 memory: 8198 grad_norm: 6.7267 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/08/03 11:48:29 - mmengine - INFO - Epoch(train) [142][480/1879] lr: 1.0000e-04 eta: 17:02:36 time: 0.2860 data_time: 0.0256 memory: 8198 grad_norm: 6.9765 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0850 loss: 1.0850 2022/08/03 11:48:35 - mmengine - INFO - Epoch(train) [142][500/1879] lr: 1.0000e-04 eta: 17:02:31 time: 0.2851 data_time: 0.0227 memory: 8198 grad_norm: 6.6059 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/08/03 11:48:41 - mmengine - INFO - Epoch(train) [142][520/1879] lr: 1.0000e-04 eta: 17:02:25 time: 0.2864 data_time: 0.0234 memory: 8198 grad_norm: 6.5874 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0804 loss: 1.0804 2022/08/03 11:48:47 - mmengine - INFO - Epoch(train) [142][540/1879] lr: 1.0000e-04 eta: 17:02:19 time: 0.2895 data_time: 0.0222 memory: 8198 grad_norm: 6.8259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1929 loss: 1.1929 2022/08/03 11:48:52 - mmengine - INFO - Epoch(train) [142][560/1879] lr: 1.0000e-04 eta: 17:02:14 time: 0.2927 data_time: 0.0160 memory: 8198 grad_norm: 6.8347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1004 loss: 1.1004 2022/08/03 11:48:58 - mmengine - INFO - Epoch(train) [142][580/1879] lr: 1.0000e-04 eta: 17:02:08 time: 0.2854 data_time: 0.0219 memory: 8198 grad_norm: 6.8643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1870 loss: 1.1870 2022/08/03 11:49:04 - mmengine - INFO - Epoch(train) [142][600/1879] lr: 1.0000e-04 eta: 17:02:03 time: 0.2835 data_time: 0.0229 memory: 8198 grad_norm: 6.5834 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9197 loss: 0.9197 2022/08/03 11:49:10 - mmengine - INFO - Epoch(train) [142][620/1879] lr: 1.0000e-04 eta: 17:01:57 time: 0.2977 data_time: 0.0206 memory: 8198 grad_norm: 6.9966 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8672 loss: 0.8672 2022/08/03 11:49:15 - mmengine - INFO - Epoch(train) [142][640/1879] lr: 1.0000e-04 eta: 17:01:51 time: 0.2837 data_time: 0.0246 memory: 8198 grad_norm: 6.8202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0385 loss: 1.0385 2022/08/03 11:49:21 - mmengine - INFO - Epoch(train) [142][660/1879] lr: 1.0000e-04 eta: 17:01:46 time: 0.2870 data_time: 0.0214 memory: 8198 grad_norm: 6.6465 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0237 loss: 1.0237 2022/08/03 11:49:27 - mmengine - INFO - Epoch(train) [142][680/1879] lr: 1.0000e-04 eta: 17:01:40 time: 0.3032 data_time: 0.0220 memory: 8198 grad_norm: 6.6052 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9067 loss: 0.9067 2022/08/03 11:49:33 - mmengine - INFO - Epoch(train) [142][700/1879] lr: 1.0000e-04 eta: 17:01:35 time: 0.2812 data_time: 0.0211 memory: 8198 grad_norm: 6.5787 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9639 loss: 0.9639 2022/08/03 11:49:39 - mmengine - INFO - Epoch(train) [142][720/1879] lr: 1.0000e-04 eta: 17:01:29 time: 0.2862 data_time: 0.0187 memory: 8198 grad_norm: 6.9186 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9531 loss: 0.9531 2022/08/03 11:49:44 - mmengine - INFO - Epoch(train) [142][740/1879] lr: 1.0000e-04 eta: 17:01:23 time: 0.2840 data_time: 0.0201 memory: 8198 grad_norm: 6.6478 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0128 loss: 1.0128 2022/08/03 11:49:50 - mmengine - INFO - Epoch(train) [142][760/1879] lr: 1.0000e-04 eta: 17:01:18 time: 0.2987 data_time: 0.0175 memory: 8198 grad_norm: 6.8516 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1650 loss: 1.1650 2022/08/03 11:49:56 - mmengine - INFO - Epoch(train) [142][780/1879] lr: 1.0000e-04 eta: 17:01:12 time: 0.2825 data_time: 0.0197 memory: 8198 grad_norm: 6.6660 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1082 loss: 1.1082 2022/08/03 11:50:02 - mmengine - INFO - Epoch(train) [142][800/1879] lr: 1.0000e-04 eta: 17:01:06 time: 0.2881 data_time: 0.0279 memory: 8198 grad_norm: 6.7413 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0295 loss: 1.0295 2022/08/03 11:50:08 - mmengine - INFO - Epoch(train) [142][820/1879] lr: 1.0000e-04 eta: 17:01:01 time: 0.2893 data_time: 0.0203 memory: 8198 grad_norm: 6.8911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0471 loss: 1.0471 2022/08/03 11:50:13 - mmengine - INFO - Epoch(train) [142][840/1879] lr: 1.0000e-04 eta: 17:00:55 time: 0.2843 data_time: 0.0230 memory: 8198 grad_norm: 6.8038 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0563 loss: 1.0563 2022/08/03 11:50:19 - mmengine - INFO - Epoch(train) [142][860/1879] lr: 1.0000e-04 eta: 17:00:49 time: 0.2849 data_time: 0.0255 memory: 8198 grad_norm: 6.7474 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0318 loss: 1.0318 2022/08/03 11:50:25 - mmengine - INFO - Epoch(train) [142][880/1879] lr: 1.0000e-04 eta: 17:00:44 time: 0.2837 data_time: 0.0201 memory: 8198 grad_norm: 6.7793 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/08/03 11:50:31 - mmengine - INFO - Epoch(train) [142][900/1879] lr: 1.0000e-04 eta: 17:00:38 time: 0.2926 data_time: 0.0267 memory: 8198 grad_norm: 6.6226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0395 loss: 1.0395 2022/08/03 11:50:36 - mmengine - INFO - Epoch(train) [142][920/1879] lr: 1.0000e-04 eta: 17:00:32 time: 0.2884 data_time: 0.0198 memory: 8198 grad_norm: 6.7628 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9731 loss: 0.9731 2022/08/03 11:50:42 - mmengine - INFO - Epoch(train) [142][940/1879] lr: 1.0000e-04 eta: 17:00:27 time: 0.2859 data_time: 0.0210 memory: 8198 grad_norm: 6.7279 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8734 loss: 0.8734 2022/08/03 11:50:48 - mmengine - INFO - Epoch(train) [142][960/1879] lr: 1.0000e-04 eta: 17:00:21 time: 0.2880 data_time: 0.0229 memory: 8198 grad_norm: 6.9764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9742 loss: 0.9742 2022/08/03 11:50:54 - mmengine - INFO - Epoch(train) [142][980/1879] lr: 1.0000e-04 eta: 17:00:15 time: 0.2846 data_time: 0.0265 memory: 8198 grad_norm: 7.0753 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0259 loss: 1.0259 2022/08/03 11:50:59 - mmengine - INFO - Epoch(train) [142][1000/1879] lr: 1.0000e-04 eta: 17:00:10 time: 0.2848 data_time: 0.0253 memory: 8198 grad_norm: 6.7797 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0271 loss: 1.0271 2022/08/03 11:51:05 - mmengine - INFO - Epoch(train) [142][1020/1879] lr: 1.0000e-04 eta: 17:00:04 time: 0.2840 data_time: 0.0208 memory: 8198 grad_norm: 6.9906 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8887 loss: 0.8887 2022/08/03 11:51:11 - mmengine - INFO - Epoch(train) [142][1040/1879] lr: 1.0000e-04 eta: 16:59:58 time: 0.2837 data_time: 0.0201 memory: 8198 grad_norm: 6.7509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9966 loss: 0.9966 2022/08/03 11:51:17 - mmengine - INFO - Epoch(train) [142][1060/1879] lr: 1.0000e-04 eta: 16:59:53 time: 0.2854 data_time: 0.0223 memory: 8198 grad_norm: 6.8981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8199 loss: 0.8199 2022/08/03 11:51:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:51:22 - mmengine - INFO - Epoch(train) [142][1080/1879] lr: 1.0000e-04 eta: 16:59:47 time: 0.2849 data_time: 0.0227 memory: 8198 grad_norm: 6.6265 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/08/03 11:51:28 - mmengine - INFO - Epoch(train) [142][1100/1879] lr: 1.0000e-04 eta: 16:59:41 time: 0.2839 data_time: 0.0200 memory: 8198 grad_norm: 6.7154 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0034 loss: 1.0034 2022/08/03 11:51:34 - mmengine - INFO - Epoch(train) [142][1120/1879] lr: 1.0000e-04 eta: 16:59:36 time: 0.2812 data_time: 0.0212 memory: 8198 grad_norm: 6.6744 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0604 loss: 1.0604 2022/08/03 11:51:39 - mmengine - INFO - Epoch(train) [142][1140/1879] lr: 1.0000e-04 eta: 16:59:30 time: 0.2841 data_time: 0.0208 memory: 8198 grad_norm: 6.7413 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/08/03 11:51:45 - mmengine - INFO - Epoch(train) [142][1160/1879] lr: 1.0000e-04 eta: 16:59:24 time: 0.2839 data_time: 0.0243 memory: 8198 grad_norm: 6.4612 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8533 loss: 0.8533 2022/08/03 11:51:51 - mmengine - INFO - Epoch(train) [142][1180/1879] lr: 1.0000e-04 eta: 16:59:18 time: 0.2871 data_time: 0.0232 memory: 8198 grad_norm: 6.8992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/08/03 11:51:56 - mmengine - INFO - Epoch(train) [142][1200/1879] lr: 1.0000e-04 eta: 16:59:13 time: 0.2841 data_time: 0.0205 memory: 8198 grad_norm: 6.8720 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9402 loss: 0.9402 2022/08/03 11:52:02 - mmengine - INFO - Epoch(train) [142][1220/1879] lr: 1.0000e-04 eta: 16:59:07 time: 0.2854 data_time: 0.0228 memory: 8198 grad_norm: 6.8096 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0365 loss: 1.0365 2022/08/03 11:52:08 - mmengine - INFO - Epoch(train) [142][1240/1879] lr: 1.0000e-04 eta: 16:59:02 time: 0.2901 data_time: 0.0232 memory: 8198 grad_norm: 6.9876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/08/03 11:52:14 - mmengine - INFO - Epoch(train) [142][1260/1879] lr: 1.0000e-04 eta: 16:58:56 time: 0.2825 data_time: 0.0239 memory: 8198 grad_norm: 6.7725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8934 loss: 0.8934 2022/08/03 11:52:19 - mmengine - INFO - Epoch(train) [142][1280/1879] lr: 1.0000e-04 eta: 16:58:50 time: 0.2843 data_time: 0.0224 memory: 8198 grad_norm: 6.7108 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9656 loss: 0.9656 2022/08/03 11:52:25 - mmengine - INFO - Epoch(train) [142][1300/1879] lr: 1.0000e-04 eta: 16:58:45 time: 0.2928 data_time: 0.0348 memory: 8198 grad_norm: 6.8528 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1153 loss: 1.1153 2022/08/03 11:52:31 - mmengine - INFO - Epoch(train) [142][1320/1879] lr: 1.0000e-04 eta: 16:58:39 time: 0.2864 data_time: 0.0232 memory: 8198 grad_norm: 6.5259 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0280 loss: 1.0280 2022/08/03 11:52:37 - mmengine - INFO - Epoch(train) [142][1340/1879] lr: 1.0000e-04 eta: 16:58:33 time: 0.2805 data_time: 0.0212 memory: 8198 grad_norm: 6.9749 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9598 loss: 0.9598 2022/08/03 11:52:42 - mmengine - INFO - Epoch(train) [142][1360/1879] lr: 1.0000e-04 eta: 16:58:27 time: 0.2852 data_time: 0.0183 memory: 8198 grad_norm: 6.7552 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1455 loss: 1.1455 2022/08/03 11:52:48 - mmengine - INFO - Epoch(train) [142][1380/1879] lr: 1.0000e-04 eta: 16:58:22 time: 0.2898 data_time: 0.0236 memory: 8198 grad_norm: 6.5784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0687 loss: 1.0687 2022/08/03 11:52:54 - mmengine - INFO - Epoch(train) [142][1400/1879] lr: 1.0000e-04 eta: 16:58:16 time: 0.2835 data_time: 0.0230 memory: 8198 grad_norm: 6.9261 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/03 11:53:00 - mmengine - INFO - Epoch(train) [142][1420/1879] lr: 1.0000e-04 eta: 16:58:11 time: 0.2941 data_time: 0.0269 memory: 8198 grad_norm: 6.7670 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1363 loss: 1.1363 2022/08/03 11:53:05 - mmengine - INFO - Epoch(train) [142][1440/1879] lr: 1.0000e-04 eta: 16:58:05 time: 0.2835 data_time: 0.0237 memory: 8198 grad_norm: 6.8561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3547 loss: 1.3547 2022/08/03 11:53:11 - mmengine - INFO - Epoch(train) [142][1460/1879] lr: 1.0000e-04 eta: 16:57:59 time: 0.2894 data_time: 0.0231 memory: 8198 grad_norm: 6.7111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/08/03 11:53:17 - mmengine - INFO - Epoch(train) [142][1480/1879] lr: 1.0000e-04 eta: 16:57:54 time: 0.2862 data_time: 0.0229 memory: 8198 grad_norm: 6.6226 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1291 loss: 1.1291 2022/08/03 11:53:23 - mmengine - INFO - Epoch(train) [142][1500/1879] lr: 1.0000e-04 eta: 16:57:48 time: 0.2860 data_time: 0.0249 memory: 8198 grad_norm: 6.5388 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9980 loss: 0.9980 2022/08/03 11:53:29 - mmengine - INFO - Epoch(train) [142][1520/1879] lr: 1.0000e-04 eta: 16:57:42 time: 0.2870 data_time: 0.0257 memory: 8198 grad_norm: 6.7186 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9572 loss: 0.9572 2022/08/03 11:53:34 - mmengine - INFO - Epoch(train) [142][1540/1879] lr: 1.0000e-04 eta: 16:57:37 time: 0.2920 data_time: 0.0229 memory: 8198 grad_norm: 6.9820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9116 loss: 0.9116 2022/08/03 11:53:40 - mmengine - INFO - Epoch(train) [142][1560/1879] lr: 1.0000e-04 eta: 16:57:31 time: 0.2838 data_time: 0.0191 memory: 8198 grad_norm: 7.0608 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1573 loss: 1.1573 2022/08/03 11:53:46 - mmengine - INFO - Epoch(train) [142][1580/1879] lr: 1.0000e-04 eta: 16:57:25 time: 0.2891 data_time: 0.0241 memory: 8198 grad_norm: 6.7239 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9757 loss: 0.9757 2022/08/03 11:53:52 - mmengine - INFO - Epoch(train) [142][1600/1879] lr: 1.0000e-04 eta: 16:57:20 time: 0.2860 data_time: 0.0220 memory: 8198 grad_norm: 6.6547 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1091 loss: 1.1091 2022/08/03 11:53:57 - mmengine - INFO - Epoch(train) [142][1620/1879] lr: 1.0000e-04 eta: 16:57:14 time: 0.2861 data_time: 0.0273 memory: 8198 grad_norm: 6.7511 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/08/03 11:54:03 - mmengine - INFO - Epoch(train) [142][1640/1879] lr: 1.0000e-04 eta: 16:57:08 time: 0.2927 data_time: 0.0238 memory: 8198 grad_norm: 6.8677 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9441 loss: 0.9441 2022/08/03 11:54:09 - mmengine - INFO - Epoch(train) [142][1660/1879] lr: 1.0000e-04 eta: 16:57:03 time: 0.2852 data_time: 0.0264 memory: 8198 grad_norm: 6.6176 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/08/03 11:54:15 - mmengine - INFO - Epoch(train) [142][1680/1879] lr: 1.0000e-04 eta: 16:56:57 time: 0.2806 data_time: 0.0221 memory: 8198 grad_norm: 6.7474 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0766 loss: 1.0766 2022/08/03 11:54:20 - mmengine - INFO - Epoch(train) [142][1700/1879] lr: 1.0000e-04 eta: 16:56:51 time: 0.2879 data_time: 0.0211 memory: 8198 grad_norm: 6.8682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9567 loss: 0.9567 2022/08/03 11:54:26 - mmengine - INFO - Epoch(train) [142][1720/1879] lr: 1.0000e-04 eta: 16:56:46 time: 0.2843 data_time: 0.0231 memory: 8198 grad_norm: 6.6741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/08/03 11:54:32 - mmengine - INFO - Epoch(train) [142][1740/1879] lr: 1.0000e-04 eta: 16:56:40 time: 0.2870 data_time: 0.0222 memory: 8198 grad_norm: 6.6465 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8894 loss: 0.8894 2022/08/03 11:54:38 - mmengine - INFO - Epoch(train) [142][1760/1879] lr: 1.0000e-04 eta: 16:56:34 time: 0.2936 data_time: 0.0203 memory: 8198 grad_norm: 6.9531 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0213 loss: 1.0213 2022/08/03 11:54:44 - mmengine - INFO - Epoch(train) [142][1780/1879] lr: 1.0000e-04 eta: 16:56:29 time: 0.2845 data_time: 0.0232 memory: 8198 grad_norm: 6.8067 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1433 loss: 1.1433 2022/08/03 11:54:49 - mmengine - INFO - Epoch(train) [142][1800/1879] lr: 1.0000e-04 eta: 16:56:23 time: 0.2830 data_time: 0.0194 memory: 8198 grad_norm: 6.7753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9741 loss: 0.9741 2022/08/03 11:54:55 - mmengine - INFO - Epoch(train) [142][1820/1879] lr: 1.0000e-04 eta: 16:56:17 time: 0.2858 data_time: 0.0265 memory: 8198 grad_norm: 6.6732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0569 loss: 1.0569 2022/08/03 11:55:01 - mmengine - INFO - Epoch(train) [142][1840/1879] lr: 1.0000e-04 eta: 16:56:12 time: 0.2916 data_time: 0.0274 memory: 8198 grad_norm: 6.8937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1140 loss: 1.1140 2022/08/03 11:55:06 - mmengine - INFO - Epoch(train) [142][1860/1879] lr: 1.0000e-04 eta: 16:56:06 time: 0.2824 data_time: 0.0208 memory: 8198 grad_norm: 6.7128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9272 loss: 0.9272 2022/08/03 11:55:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:55:12 - mmengine - INFO - Epoch(train) [142][1879/1879] lr: 1.0000e-04 eta: 16:56:06 time: 0.2712 data_time: 0.0126 memory: 8198 grad_norm: 6.8063 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9640 loss: 0.9640 2022/08/03 11:55:20 - mmengine - INFO - Epoch(train) [143][20/1879] lr: 1.0000e-04 eta: 16:55:53 time: 0.3995 data_time: 0.1309 memory: 8198 grad_norm: 6.8627 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9459 loss: 0.9459 2022/08/03 11:55:26 - mmengine - INFO - Epoch(train) [143][40/1879] lr: 1.0000e-04 eta: 16:55:48 time: 0.3382 data_time: 0.0230 memory: 8198 grad_norm: 6.6762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1192 loss: 1.1192 2022/08/03 11:55:32 - mmengine - INFO - Epoch(train) [143][60/1879] lr: 1.0000e-04 eta: 16:55:42 time: 0.2902 data_time: 0.0214 memory: 8198 grad_norm: 6.9114 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0895 loss: 1.0895 2022/08/03 11:55:38 - mmengine - INFO - Epoch(train) [143][80/1879] lr: 1.0000e-04 eta: 16:55:36 time: 0.2828 data_time: 0.0207 memory: 8198 grad_norm: 6.9668 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0777 loss: 1.0777 2022/08/03 11:55:44 - mmengine - INFO - Epoch(train) [143][100/1879] lr: 1.0000e-04 eta: 16:55:31 time: 0.2866 data_time: 0.0212 memory: 8198 grad_norm: 7.0620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1214 loss: 1.1214 2022/08/03 11:55:50 - mmengine - INFO - Epoch(train) [143][120/1879] lr: 1.0000e-04 eta: 16:55:25 time: 0.2954 data_time: 0.0232 memory: 8198 grad_norm: 6.6949 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8863 loss: 0.8863 2022/08/03 11:55:55 - mmengine - INFO - Epoch(train) [143][140/1879] lr: 1.0000e-04 eta: 16:55:19 time: 0.2831 data_time: 0.0207 memory: 8198 grad_norm: 6.8428 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9902 loss: 0.9902 2022/08/03 11:56:01 - mmengine - INFO - Epoch(train) [143][160/1879] lr: 1.0000e-04 eta: 16:55:14 time: 0.2816 data_time: 0.0173 memory: 8198 grad_norm: 6.9219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8590 loss: 0.8590 2022/08/03 11:56:07 - mmengine - INFO - Epoch(train) [143][180/1879] lr: 1.0000e-04 eta: 16:55:08 time: 0.2842 data_time: 0.0223 memory: 8198 grad_norm: 6.5896 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8833 loss: 0.8833 2022/08/03 11:56:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 11:56:12 - mmengine - INFO - Epoch(train) [143][200/1879] lr: 1.0000e-04 eta: 16:55:02 time: 0.2886 data_time: 0.0234 memory: 8198 grad_norm: 6.6251 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8960 loss: 0.8960 2022/08/03 11:56:18 - mmengine - INFO - Epoch(train) [143][220/1879] lr: 1.0000e-04 eta: 16:54:57 time: 0.2849 data_time: 0.0203 memory: 8198 grad_norm: 6.9065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0206 loss: 1.0206 2022/08/03 11:56:24 - mmengine - INFO - Epoch(train) [143][240/1879] lr: 1.0000e-04 eta: 16:54:51 time: 0.2863 data_time: 0.0266 memory: 8198 grad_norm: 6.7524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0949 loss: 1.0949 2022/08/03 11:56:30 - mmengine - INFO - Epoch(train) [143][260/1879] lr: 1.0000e-04 eta: 16:54:45 time: 0.2894 data_time: 0.0257 memory: 8198 grad_norm: 6.7938 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9970 loss: 0.9970 2022/08/03 11:56:35 - mmengine - INFO - Epoch(train) [143][280/1879] lr: 1.0000e-04 eta: 16:54:40 time: 0.2818 data_time: 0.0206 memory: 8198 grad_norm: 6.8177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/08/03 11:56:41 - mmengine - INFO - Epoch(train) [143][300/1879] lr: 1.0000e-04 eta: 16:54:34 time: 0.2838 data_time: 0.0208 memory: 8198 grad_norm: 6.6857 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0646 loss: 1.0646 2022/08/03 11:56:47 - mmengine - INFO - Epoch(train) [143][320/1879] lr: 1.0000e-04 eta: 16:54:28 time: 0.2827 data_time: 0.0161 memory: 8198 grad_norm: 6.9058 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1789 loss: 1.1789 2022/08/03 11:56:53 - mmengine - INFO - Epoch(train) [143][340/1879] lr: 1.0000e-04 eta: 16:54:23 time: 0.3020 data_time: 0.0369 memory: 8198 grad_norm: 6.5678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1792 loss: 1.1792 2022/08/03 11:56:59 - mmengine - INFO - Epoch(train) [143][360/1879] lr: 1.0000e-04 eta: 16:54:17 time: 0.2873 data_time: 0.0202 memory: 8198 grad_norm: 6.8898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9940 loss: 0.9940 2022/08/03 11:57:04 - mmengine - INFO - Epoch(train) [143][380/1879] lr: 1.0000e-04 eta: 16:54:12 time: 0.2840 data_time: 0.0252 memory: 8198 grad_norm: 6.8663 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0379 loss: 1.0379 2022/08/03 11:57:10 - mmengine - INFO - Epoch(train) [143][400/1879] lr: 1.0000e-04 eta: 16:54:06 time: 0.2814 data_time: 0.0192 memory: 8198 grad_norm: 6.8129 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0010 loss: 1.0010 2022/08/03 11:57:16 - mmengine - INFO - Epoch(train) [143][420/1879] lr: 1.0000e-04 eta: 16:54:00 time: 0.2857 data_time: 0.0269 memory: 8198 grad_norm: 7.0201 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1122 loss: 1.1122 2022/08/03 11:57:21 - mmengine - INFO - Epoch(train) [143][440/1879] lr: 1.0000e-04 eta: 16:53:54 time: 0.2859 data_time: 0.0282 memory: 8198 grad_norm: 6.5469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0215 loss: 1.0215 2022/08/03 11:57:27 - mmengine - INFO - Epoch(train) [143][460/1879] lr: 1.0000e-04 eta: 16:53:49 time: 0.2828 data_time: 0.0196 memory: 8198 grad_norm: 6.6482 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/08/03 11:57:33 - mmengine - INFO - Epoch(train) [143][480/1879] lr: 1.0000e-04 eta: 16:53:43 time: 0.2844 data_time: 0.0227 memory: 8198 grad_norm: 6.9114 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9407 loss: 0.9407 2022/08/03 11:57:39 - mmengine - INFO - Epoch(train) [143][500/1879] lr: 1.0000e-04 eta: 16:53:37 time: 0.2865 data_time: 0.0269 memory: 8198 grad_norm: 6.7584 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9136 loss: 0.9136 2022/08/03 11:57:44 - mmengine - INFO - Epoch(train) [143][520/1879] lr: 1.0000e-04 eta: 16:53:32 time: 0.2835 data_time: 0.0204 memory: 8198 grad_norm: 6.6660 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/08/03 11:57:50 - mmengine - INFO - Epoch(train) [143][540/1879] lr: 1.0000e-04 eta: 16:53:26 time: 0.2824 data_time: 0.0215 memory: 8198 grad_norm: 6.8284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0689 loss: 1.0689 2022/08/03 11:57:56 - mmengine - INFO - Epoch(train) [143][560/1879] lr: 1.0000e-04 eta: 16:53:20 time: 0.2825 data_time: 0.0186 memory: 8198 grad_norm: 6.9646 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9818 loss: 0.9818 2022/08/03 11:58:01 - mmengine - INFO - Epoch(train) [143][580/1879] lr: 1.0000e-04 eta: 16:53:14 time: 0.2845 data_time: 0.0233 memory: 8198 grad_norm: 6.6307 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9594 loss: 0.9594 2022/08/03 11:58:07 - mmengine - INFO - Epoch(train) [143][600/1879] lr: 1.0000e-04 eta: 16:53:09 time: 0.2832 data_time: 0.0200 memory: 8198 grad_norm: 6.8475 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0814 loss: 1.0814 2022/08/03 11:58:13 - mmengine - INFO - Epoch(train) [143][620/1879] lr: 1.0000e-04 eta: 16:53:03 time: 0.2890 data_time: 0.0220 memory: 8198 grad_norm: 6.7892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0322 loss: 1.0322 2022/08/03 11:58:19 - mmengine - INFO - Epoch(train) [143][640/1879] lr: 1.0000e-04 eta: 16:52:58 time: 0.2939 data_time: 0.0194 memory: 8198 grad_norm: 6.6026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0343 loss: 1.0343 2022/08/03 11:58:24 - mmengine - INFO - Epoch(train) [143][660/1879] lr: 1.0000e-04 eta: 16:52:52 time: 0.2818 data_time: 0.0194 memory: 8198 grad_norm: 6.8066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/08/03 11:58:30 - mmengine - INFO - Epoch(train) [143][680/1879] lr: 1.0000e-04 eta: 16:52:46 time: 0.2892 data_time: 0.0209 memory: 8198 grad_norm: 6.7267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1774 loss: 1.1774 2022/08/03 11:58:36 - mmengine - INFO - Epoch(train) [143][700/1879] lr: 1.0000e-04 eta: 16:52:41 time: 0.2876 data_time: 0.0215 memory: 8198 grad_norm: 6.7014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8908 loss: 0.8908 2022/08/03 11:58:42 - mmengine - INFO - Epoch(train) [143][720/1879] lr: 1.0000e-04 eta: 16:52:35 time: 0.2893 data_time: 0.0217 memory: 8198 grad_norm: 6.9603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8774 loss: 0.8774 2022/08/03 11:58:48 - mmengine - INFO - Epoch(train) [143][740/1879] lr: 1.0000e-04 eta: 16:52:29 time: 0.2888 data_time: 0.0322 memory: 8198 grad_norm: 6.7872 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/03 11:58:53 - mmengine - INFO - Epoch(train) [143][760/1879] lr: 1.0000e-04 eta: 16:52:24 time: 0.2847 data_time: 0.0220 memory: 8198 grad_norm: 6.6653 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0650 loss: 1.0650 2022/08/03 11:58:59 - mmengine - INFO - Epoch(train) [143][780/1879] lr: 1.0000e-04 eta: 16:52:18 time: 0.2850 data_time: 0.0221 memory: 8198 grad_norm: 6.6867 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0633 loss: 1.0633 2022/08/03 11:59:05 - mmengine - INFO - Epoch(train) [143][800/1879] lr: 1.0000e-04 eta: 16:52:12 time: 0.2825 data_time: 0.0217 memory: 8198 grad_norm: 6.7508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9866 loss: 0.9866 2022/08/03 11:59:10 - mmengine - INFO - Epoch(train) [143][820/1879] lr: 1.0000e-04 eta: 16:52:07 time: 0.2890 data_time: 0.0277 memory: 8198 grad_norm: 6.8024 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2168 loss: 1.2168 2022/08/03 11:59:16 - mmengine - INFO - Epoch(train) [143][840/1879] lr: 1.0000e-04 eta: 16:52:01 time: 0.2832 data_time: 0.0215 memory: 8198 grad_norm: 6.7613 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9537 loss: 0.9537 2022/08/03 11:59:22 - mmengine - INFO - Epoch(train) [143][860/1879] lr: 1.0000e-04 eta: 16:51:55 time: 0.2855 data_time: 0.0222 memory: 8198 grad_norm: 7.0095 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0129 loss: 1.0129 2022/08/03 11:59:28 - mmengine - INFO - Epoch(train) [143][880/1879] lr: 1.0000e-04 eta: 16:51:50 time: 0.2930 data_time: 0.0287 memory: 8198 grad_norm: 6.8171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8952 loss: 0.8952 2022/08/03 11:59:33 - mmengine - INFO - Epoch(train) [143][900/1879] lr: 1.0000e-04 eta: 16:51:44 time: 0.2838 data_time: 0.0241 memory: 8198 grad_norm: 6.8082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0056 loss: 1.0056 2022/08/03 11:59:39 - mmengine - INFO - Epoch(train) [143][920/1879] lr: 1.0000e-04 eta: 16:51:38 time: 0.2816 data_time: 0.0214 memory: 8198 grad_norm: 6.7808 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1993 loss: 1.1993 2022/08/03 11:59:45 - mmengine - INFO - Epoch(train) [143][940/1879] lr: 1.0000e-04 eta: 16:51:33 time: 0.2863 data_time: 0.0222 memory: 8198 grad_norm: 6.5700 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/08/03 11:59:51 - mmengine - INFO - Epoch(train) [143][960/1879] lr: 1.0000e-04 eta: 16:51:27 time: 0.2887 data_time: 0.0257 memory: 8198 grad_norm: 6.9495 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0647 loss: 1.0647 2022/08/03 11:59:56 - mmengine - INFO - Epoch(train) [143][980/1879] lr: 1.0000e-04 eta: 16:51:21 time: 0.2858 data_time: 0.0220 memory: 8198 grad_norm: 6.8223 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1077 loss: 1.1077 2022/08/03 12:00:05 - mmengine - INFO - Epoch(train) [143][1000/1879] lr: 1.0000e-04 eta: 16:51:18 time: 0.4445 data_time: 0.0253 memory: 8198 grad_norm: 6.8373 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0807 loss: 1.0807 2022/08/03 12:00:11 - mmengine - INFO - Epoch(train) [143][1020/1879] lr: 1.0000e-04 eta: 16:51:12 time: 0.2845 data_time: 0.0304 memory: 8198 grad_norm: 6.6538 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9933 loss: 0.9933 2022/08/03 12:00:17 - mmengine - INFO - Epoch(train) [143][1040/1879] lr: 1.0000e-04 eta: 16:51:07 time: 0.2831 data_time: 0.0173 memory: 8198 grad_norm: 6.8320 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0501 loss: 1.0501 2022/08/03 12:00:22 - mmengine - INFO - Epoch(train) [143][1060/1879] lr: 1.0000e-04 eta: 16:51:01 time: 0.2873 data_time: 0.0262 memory: 8198 grad_norm: 6.7296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9944 loss: 0.9944 2022/08/03 12:00:28 - mmengine - INFO - Epoch(train) [143][1080/1879] lr: 1.0000e-04 eta: 16:50:55 time: 0.2832 data_time: 0.0222 memory: 8198 grad_norm: 6.7660 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1706 loss: 1.1706 2022/08/03 12:00:34 - mmengine - INFO - Epoch(train) [143][1100/1879] lr: 1.0000e-04 eta: 16:50:50 time: 0.2838 data_time: 0.0174 memory: 8198 grad_norm: 6.8853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9642 loss: 0.9642 2022/08/03 12:00:40 - mmengine - INFO - Epoch(train) [143][1120/1879] lr: 1.0000e-04 eta: 16:50:44 time: 0.2843 data_time: 0.0192 memory: 8198 grad_norm: 6.5385 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9308 loss: 0.9308 2022/08/03 12:00:45 - mmengine - INFO - Epoch(train) [143][1140/1879] lr: 1.0000e-04 eta: 16:50:38 time: 0.2824 data_time: 0.0261 memory: 8198 grad_norm: 6.7823 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1872 loss: 1.1872 2022/08/03 12:00:51 - mmengine - INFO - Epoch(train) [143][1160/1879] lr: 1.0000e-04 eta: 16:50:33 time: 0.2828 data_time: 0.0202 memory: 8198 grad_norm: 7.0125 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1048 loss: 1.1048 2022/08/03 12:00:57 - mmengine - INFO - Epoch(train) [143][1180/1879] lr: 1.0000e-04 eta: 16:50:27 time: 0.2884 data_time: 0.0254 memory: 8198 grad_norm: 6.7619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0740 loss: 1.0740 2022/08/03 12:00:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:01:02 - mmengine - INFO - Epoch(train) [143][1200/1879] lr: 1.0000e-04 eta: 16:50:21 time: 0.2870 data_time: 0.0224 memory: 8198 grad_norm: 6.6349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/03 12:01:08 - mmengine - INFO - Epoch(train) [143][1220/1879] lr: 1.0000e-04 eta: 16:50:16 time: 0.2846 data_time: 0.0253 memory: 8198 grad_norm: 6.8538 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0918 loss: 1.0918 2022/08/03 12:01:14 - mmengine - INFO - Epoch(train) [143][1240/1879] lr: 1.0000e-04 eta: 16:50:10 time: 0.2863 data_time: 0.0233 memory: 8198 grad_norm: 6.7047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8556 loss: 0.8556 2022/08/03 12:01:20 - mmengine - INFO - Epoch(train) [143][1260/1879] lr: 1.0000e-04 eta: 16:50:04 time: 0.3002 data_time: 0.0245 memory: 8198 grad_norm: 6.5897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/08/03 12:01:26 - mmengine - INFO - Epoch(train) [143][1280/1879] lr: 1.0000e-04 eta: 16:49:59 time: 0.2808 data_time: 0.0226 memory: 8198 grad_norm: 6.7089 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0405 loss: 1.0405 2022/08/03 12:01:31 - mmengine - INFO - Epoch(train) [143][1300/1879] lr: 1.0000e-04 eta: 16:49:53 time: 0.2873 data_time: 0.0279 memory: 8198 grad_norm: 6.8129 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/03 12:01:37 - mmengine - INFO - Epoch(train) [143][1320/1879] lr: 1.0000e-04 eta: 16:49:47 time: 0.2847 data_time: 0.0249 memory: 8198 grad_norm: 6.7763 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9810 loss: 0.9810 2022/08/03 12:01:43 - mmengine - INFO - Epoch(train) [143][1340/1879] lr: 1.0000e-04 eta: 16:49:42 time: 0.2877 data_time: 0.0215 memory: 8198 grad_norm: 6.6478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/08/03 12:01:49 - mmengine - INFO - Epoch(train) [143][1360/1879] lr: 1.0000e-04 eta: 16:49:36 time: 0.2987 data_time: 0.0237 memory: 8198 grad_norm: 6.6874 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1526 loss: 1.1526 2022/08/03 12:01:55 - mmengine - INFO - Epoch(train) [143][1380/1879] lr: 1.0000e-04 eta: 16:49:31 time: 0.2848 data_time: 0.0248 memory: 8198 grad_norm: 6.8770 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9142 loss: 0.9142 2022/08/03 12:02:00 - mmengine - INFO - Epoch(train) [143][1400/1879] lr: 1.0000e-04 eta: 16:49:25 time: 0.2861 data_time: 0.0219 memory: 8198 grad_norm: 6.9158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0852 loss: 1.0852 2022/08/03 12:02:06 - mmengine - INFO - Epoch(train) [143][1420/1879] lr: 1.0000e-04 eta: 16:49:19 time: 0.2858 data_time: 0.0244 memory: 8198 grad_norm: 6.6770 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/08/03 12:02:12 - mmengine - INFO - Epoch(train) [143][1440/1879] lr: 1.0000e-04 eta: 16:49:14 time: 0.2851 data_time: 0.0207 memory: 8198 grad_norm: 6.9117 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8692 loss: 0.8692 2022/08/03 12:02:17 - mmengine - INFO - Epoch(train) [143][1460/1879] lr: 1.0000e-04 eta: 16:49:08 time: 0.2836 data_time: 0.0219 memory: 8198 grad_norm: 6.6102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0874 loss: 1.0874 2022/08/03 12:02:23 - mmengine - INFO - Epoch(train) [143][1480/1879] lr: 1.0000e-04 eta: 16:49:02 time: 0.2962 data_time: 0.0235 memory: 8198 grad_norm: 6.8789 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9077 loss: 0.9077 2022/08/03 12:02:29 - mmengine - INFO - Epoch(train) [143][1500/1879] lr: 1.0000e-04 eta: 16:48:57 time: 0.2850 data_time: 0.0252 memory: 8198 grad_norm: 6.6440 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0389 loss: 1.0389 2022/08/03 12:02:35 - mmengine - INFO - Epoch(train) [143][1520/1879] lr: 1.0000e-04 eta: 16:48:51 time: 0.2831 data_time: 0.0210 memory: 8198 grad_norm: 6.7385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9512 loss: 0.9512 2022/08/03 12:02:41 - mmengine - INFO - Epoch(train) [143][1540/1879] lr: 1.0000e-04 eta: 16:48:45 time: 0.2869 data_time: 0.0225 memory: 8198 grad_norm: 6.6451 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2539 loss: 1.2539 2022/08/03 12:02:46 - mmengine - INFO - Epoch(train) [143][1560/1879] lr: 1.0000e-04 eta: 16:48:40 time: 0.2831 data_time: 0.0205 memory: 8198 grad_norm: 6.6190 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8635 loss: 0.8635 2022/08/03 12:02:52 - mmengine - INFO - Epoch(train) [143][1580/1879] lr: 1.0000e-04 eta: 16:48:34 time: 0.2842 data_time: 0.0223 memory: 8198 grad_norm: 6.6802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0875 loss: 1.0875 2022/08/03 12:02:58 - mmengine - INFO - Epoch(train) [143][1600/1879] lr: 1.0000e-04 eta: 16:48:28 time: 0.2828 data_time: 0.0220 memory: 8198 grad_norm: 6.9624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0894 loss: 1.0894 2022/08/03 12:03:03 - mmengine - INFO - Epoch(train) [143][1620/1879] lr: 1.0000e-04 eta: 16:48:23 time: 0.2904 data_time: 0.0277 memory: 8198 grad_norm: 6.8939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/08/03 12:03:09 - mmengine - INFO - Epoch(train) [143][1640/1879] lr: 1.0000e-04 eta: 16:48:17 time: 0.2876 data_time: 0.0212 memory: 8198 grad_norm: 6.7558 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0283 loss: 1.0283 2022/08/03 12:03:15 - mmengine - INFO - Epoch(train) [143][1660/1879] lr: 1.0000e-04 eta: 16:48:11 time: 0.2850 data_time: 0.0254 memory: 8198 grad_norm: 6.5970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9026 loss: 0.9026 2022/08/03 12:03:21 - mmengine - INFO - Epoch(train) [143][1680/1879] lr: 1.0000e-04 eta: 16:48:06 time: 0.2856 data_time: 0.0222 memory: 8198 grad_norm: 6.7615 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0321 loss: 1.0321 2022/08/03 12:03:26 - mmengine - INFO - Epoch(train) [143][1700/1879] lr: 1.0000e-04 eta: 16:48:00 time: 0.2850 data_time: 0.0219 memory: 8198 grad_norm: 6.9332 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2079 loss: 1.2079 2022/08/03 12:03:32 - mmengine - INFO - Epoch(train) [143][1720/1879] lr: 1.0000e-04 eta: 16:47:54 time: 0.2834 data_time: 0.0251 memory: 8198 grad_norm: 6.6814 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0197 loss: 1.0197 2022/08/03 12:03:38 - mmengine - INFO - Epoch(train) [143][1740/1879] lr: 1.0000e-04 eta: 16:47:48 time: 0.2837 data_time: 0.0244 memory: 8198 grad_norm: 6.9540 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9172 loss: 0.9172 2022/08/03 12:03:44 - mmengine - INFO - Epoch(train) [143][1760/1879] lr: 1.0000e-04 eta: 16:47:43 time: 0.2879 data_time: 0.0230 memory: 8198 grad_norm: 6.6705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0803 loss: 1.0803 2022/08/03 12:03:49 - mmengine - INFO - Epoch(train) [143][1780/1879] lr: 1.0000e-04 eta: 16:47:37 time: 0.2875 data_time: 0.0225 memory: 8198 grad_norm: 6.7383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0289 loss: 1.0289 2022/08/03 12:03:55 - mmengine - INFO - Epoch(train) [143][1800/1879] lr: 1.0000e-04 eta: 16:47:31 time: 0.2840 data_time: 0.0220 memory: 8198 grad_norm: 6.8972 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1044 loss: 1.1044 2022/08/03 12:04:01 - mmengine - INFO - Epoch(train) [143][1820/1879] lr: 1.0000e-04 eta: 16:47:26 time: 0.2903 data_time: 0.0273 memory: 8198 grad_norm: 6.6627 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9611 loss: 0.9611 2022/08/03 12:04:07 - mmengine - INFO - Epoch(train) [143][1840/1879] lr: 1.0000e-04 eta: 16:47:20 time: 0.2832 data_time: 0.0268 memory: 8198 grad_norm: 6.5973 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9620 loss: 0.9620 2022/08/03 12:04:12 - mmengine - INFO - Epoch(train) [143][1860/1879] lr: 1.0000e-04 eta: 16:47:14 time: 0.2899 data_time: 0.0196 memory: 8198 grad_norm: 6.8695 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0489 loss: 1.0489 2022/08/03 12:04:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:04:17 - mmengine - INFO - Epoch(train) [143][1879/1879] lr: 1.0000e-04 eta: 16:47:14 time: 0.2563 data_time: 0.0137 memory: 8198 grad_norm: 6.8457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0199 loss: 1.0199 2022/08/03 12:04:25 - mmengine - INFO - Epoch(train) [144][20/1879] lr: 1.0000e-04 eta: 16:47:01 time: 0.4042 data_time: 0.1059 memory: 8198 grad_norm: 6.8130 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9021 loss: 0.9021 2022/08/03 12:04:34 - mmengine - INFO - Epoch(train) [144][40/1879] lr: 1.0000e-04 eta: 16:46:57 time: 0.4194 data_time: 0.0186 memory: 8198 grad_norm: 6.7203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9913 loss: 0.9913 2022/08/03 12:04:40 - mmengine - INFO - Epoch(train) [144][60/1879] lr: 1.0000e-04 eta: 16:46:52 time: 0.2920 data_time: 0.0193 memory: 8198 grad_norm: 6.8315 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9908 loss: 0.9908 2022/08/03 12:04:45 - mmengine - INFO - Epoch(train) [144][80/1879] lr: 1.0000e-04 eta: 16:46:46 time: 0.2839 data_time: 0.0244 memory: 8198 grad_norm: 6.9900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0873 loss: 1.0873 2022/08/03 12:04:51 - mmengine - INFO - Epoch(train) [144][100/1879] lr: 1.0000e-04 eta: 16:46:41 time: 0.2919 data_time: 0.0238 memory: 8198 grad_norm: 6.7729 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0291 loss: 1.0291 2022/08/03 12:04:57 - mmengine - INFO - Epoch(train) [144][120/1879] lr: 1.0000e-04 eta: 16:46:35 time: 0.2812 data_time: 0.0225 memory: 8198 grad_norm: 6.8617 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0767 loss: 1.0767 2022/08/03 12:05:03 - mmengine - INFO - Epoch(train) [144][140/1879] lr: 1.0000e-04 eta: 16:46:29 time: 0.2863 data_time: 0.0226 memory: 8198 grad_norm: 6.7101 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1466 loss: 1.1466 2022/08/03 12:05:09 - mmengine - INFO - Epoch(train) [144][160/1879] lr: 1.0000e-04 eta: 16:46:24 time: 0.3015 data_time: 0.0224 memory: 8198 grad_norm: 6.8323 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1003 loss: 1.1003 2022/08/03 12:05:14 - mmengine - INFO - Epoch(train) [144][180/1879] lr: 1.0000e-04 eta: 16:46:18 time: 0.2805 data_time: 0.0234 memory: 8198 grad_norm: 6.8228 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0327 loss: 1.0327 2022/08/03 12:05:20 - mmengine - INFO - Epoch(train) [144][200/1879] lr: 1.0000e-04 eta: 16:46:12 time: 0.2820 data_time: 0.0212 memory: 8198 grad_norm: 6.7354 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/08/03 12:05:26 - mmengine - INFO - Epoch(train) [144][220/1879] lr: 1.0000e-04 eta: 16:46:07 time: 0.2844 data_time: 0.0216 memory: 8198 grad_norm: 6.6041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9479 loss: 0.9479 2022/08/03 12:05:31 - mmengine - INFO - Epoch(train) [144][240/1879] lr: 1.0000e-04 eta: 16:46:01 time: 0.2871 data_time: 0.0231 memory: 8198 grad_norm: 6.8210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/08/03 12:05:37 - mmengine - INFO - Epoch(train) [144][260/1879] lr: 1.0000e-04 eta: 16:45:55 time: 0.2838 data_time: 0.0232 memory: 8198 grad_norm: 6.9240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0341 loss: 1.0341 2022/08/03 12:05:43 - mmengine - INFO - Epoch(train) [144][280/1879] lr: 1.0000e-04 eta: 16:45:50 time: 0.2850 data_time: 0.0257 memory: 8198 grad_norm: 6.7307 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1160 loss: 1.1160 2022/08/03 12:05:49 - mmengine - INFO - Epoch(train) [144][300/1879] lr: 1.0000e-04 eta: 16:45:44 time: 0.2998 data_time: 0.0197 memory: 8198 grad_norm: 6.6926 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1035 loss: 1.1035 2022/08/03 12:05:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:05:55 - mmengine - INFO - Epoch(train) [144][320/1879] lr: 1.0000e-04 eta: 16:45:38 time: 0.2840 data_time: 0.0224 memory: 8198 grad_norm: 6.6613 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9131 loss: 0.9131 2022/08/03 12:06:00 - mmengine - INFO - Epoch(train) [144][340/1879] lr: 1.0000e-04 eta: 16:45:33 time: 0.2900 data_time: 0.0261 memory: 8198 grad_norm: 6.9537 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1648 loss: 1.1648 2022/08/03 12:06:06 - mmengine - INFO - Epoch(train) [144][360/1879] lr: 1.0000e-04 eta: 16:45:27 time: 0.2821 data_time: 0.0217 memory: 8198 grad_norm: 6.8181 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/08/03 12:06:12 - mmengine - INFO - Epoch(train) [144][380/1879] lr: 1.0000e-04 eta: 16:45:21 time: 0.2861 data_time: 0.0249 memory: 8198 grad_norm: 6.7441 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/03 12:06:17 - mmengine - INFO - Epoch(train) [144][400/1879] lr: 1.0000e-04 eta: 16:45:16 time: 0.2812 data_time: 0.0230 memory: 8198 grad_norm: 6.7877 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0030 loss: 1.0030 2022/08/03 12:06:23 - mmengine - INFO - Epoch(train) [144][420/1879] lr: 1.0000e-04 eta: 16:45:10 time: 0.2862 data_time: 0.0237 memory: 8198 grad_norm: 6.7352 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0728 loss: 1.0728 2022/08/03 12:06:29 - mmengine - INFO - Epoch(train) [144][440/1879] lr: 1.0000e-04 eta: 16:45:04 time: 0.2891 data_time: 0.0241 memory: 8198 grad_norm: 6.6663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/08/03 12:06:35 - mmengine - INFO - Epoch(train) [144][460/1879] lr: 1.0000e-04 eta: 16:44:59 time: 0.2972 data_time: 0.0225 memory: 8198 grad_norm: 6.9372 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1136 loss: 1.1136 2022/08/03 12:06:41 - mmengine - INFO - Epoch(train) [144][480/1879] lr: 1.0000e-04 eta: 16:44:53 time: 0.2862 data_time: 0.0196 memory: 8198 grad_norm: 6.9425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3047 loss: 1.3047 2022/08/03 12:06:46 - mmengine - INFO - Epoch(train) [144][500/1879] lr: 1.0000e-04 eta: 16:44:47 time: 0.2818 data_time: 0.0203 memory: 8198 grad_norm: 6.5847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/08/03 12:06:52 - mmengine - INFO - Epoch(train) [144][520/1879] lr: 1.0000e-04 eta: 16:44:42 time: 0.2981 data_time: 0.0238 memory: 8198 grad_norm: 6.6727 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8879 loss: 0.8879 2022/08/03 12:06:58 - mmengine - INFO - Epoch(train) [144][540/1879] lr: 1.0000e-04 eta: 16:44:36 time: 0.2896 data_time: 0.0248 memory: 8198 grad_norm: 6.7425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/08/03 12:07:04 - mmengine - INFO - Epoch(train) [144][560/1879] lr: 1.0000e-04 eta: 16:44:31 time: 0.2846 data_time: 0.0201 memory: 8198 grad_norm: 6.8789 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9805 loss: 0.9805 2022/08/03 12:07:10 - mmengine - INFO - Epoch(train) [144][580/1879] lr: 1.0000e-04 eta: 16:44:25 time: 0.2916 data_time: 0.0274 memory: 8198 grad_norm: 6.6540 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/08/03 12:07:15 - mmengine - INFO - Epoch(train) [144][600/1879] lr: 1.0000e-04 eta: 16:44:19 time: 0.2825 data_time: 0.0211 memory: 8198 grad_norm: 6.8435 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0644 loss: 1.0644 2022/08/03 12:07:21 - mmengine - INFO - Epoch(train) [144][620/1879] lr: 1.0000e-04 eta: 16:44:14 time: 0.2841 data_time: 0.0214 memory: 8198 grad_norm: 6.8237 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0879 loss: 1.0879 2022/08/03 12:07:27 - mmengine - INFO - Epoch(train) [144][640/1879] lr: 1.0000e-04 eta: 16:44:08 time: 0.2841 data_time: 0.0208 memory: 8198 grad_norm: 6.4865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8933 loss: 0.8933 2022/08/03 12:07:33 - mmengine - INFO - Epoch(train) [144][660/1879] lr: 1.0000e-04 eta: 16:44:02 time: 0.2859 data_time: 0.0255 memory: 8198 grad_norm: 6.8939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/03 12:07:38 - mmengine - INFO - Epoch(train) [144][680/1879] lr: 1.0000e-04 eta: 16:43:57 time: 0.2819 data_time: 0.0218 memory: 8198 grad_norm: 6.9079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/08/03 12:07:44 - mmengine - INFO - Epoch(train) [144][700/1879] lr: 1.0000e-04 eta: 16:43:51 time: 0.2861 data_time: 0.0232 memory: 8198 grad_norm: 6.8863 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.0459 loss: 1.0459 2022/08/03 12:07:50 - mmengine - INFO - Epoch(train) [144][720/1879] lr: 1.0000e-04 eta: 16:43:45 time: 0.2853 data_time: 0.0235 memory: 8198 grad_norm: 6.7771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/08/03 12:07:55 - mmengine - INFO - Epoch(train) [144][740/1879] lr: 1.0000e-04 eta: 16:43:39 time: 0.2839 data_time: 0.0220 memory: 8198 grad_norm: 6.7829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9894 loss: 0.9894 2022/08/03 12:08:01 - mmengine - INFO - Epoch(train) [144][760/1879] lr: 1.0000e-04 eta: 16:43:34 time: 0.2989 data_time: 0.0239 memory: 8198 grad_norm: 6.8123 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/08/03 12:08:07 - mmengine - INFO - Epoch(train) [144][780/1879] lr: 1.0000e-04 eta: 16:43:28 time: 0.2812 data_time: 0.0228 memory: 8198 grad_norm: 6.9045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9674 loss: 0.9674 2022/08/03 12:08:13 - mmengine - INFO - Epoch(train) [144][800/1879] lr: 1.0000e-04 eta: 16:43:23 time: 0.2819 data_time: 0.0163 memory: 8198 grad_norm: 6.7510 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9097 loss: 0.9097 2022/08/03 12:08:19 - mmengine - INFO - Epoch(train) [144][820/1879] lr: 1.0000e-04 eta: 16:43:17 time: 0.2912 data_time: 0.0249 memory: 8198 grad_norm: 6.8037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9567 loss: 0.9567 2022/08/03 12:08:25 - mmengine - INFO - Epoch(train) [144][840/1879] lr: 1.0000e-04 eta: 16:43:12 time: 0.3015 data_time: 0.0320 memory: 8198 grad_norm: 7.0435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0249 loss: 1.0249 2022/08/03 12:08:30 - mmengine - INFO - Epoch(train) [144][860/1879] lr: 1.0000e-04 eta: 16:43:06 time: 0.2830 data_time: 0.0209 memory: 8198 grad_norm: 6.6585 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8806 loss: 0.8806 2022/08/03 12:08:36 - mmengine - INFO - Epoch(train) [144][880/1879] lr: 1.0000e-04 eta: 16:43:00 time: 0.2849 data_time: 0.0231 memory: 8198 grad_norm: 6.9105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/08/03 12:08:42 - mmengine - INFO - Epoch(train) [144][900/1879] lr: 1.0000e-04 eta: 16:42:54 time: 0.2871 data_time: 0.0266 memory: 8198 grad_norm: 6.5880 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9372 loss: 0.9372 2022/08/03 12:08:47 - mmengine - INFO - Epoch(train) [144][920/1879] lr: 1.0000e-04 eta: 16:42:49 time: 0.2806 data_time: 0.0215 memory: 8198 grad_norm: 6.8492 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9986 loss: 0.9986 2022/08/03 12:08:53 - mmengine - INFO - Epoch(train) [144][940/1879] lr: 1.0000e-04 eta: 16:42:43 time: 0.2866 data_time: 0.0241 memory: 8198 grad_norm: 6.8007 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9900 loss: 0.9900 2022/08/03 12:08:59 - mmengine - INFO - Epoch(train) [144][960/1879] lr: 1.0000e-04 eta: 16:42:37 time: 0.2888 data_time: 0.0227 memory: 8198 grad_norm: 6.7593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9973 loss: 0.9973 2022/08/03 12:09:05 - mmengine - INFO - Epoch(train) [144][980/1879] lr: 1.0000e-04 eta: 16:42:32 time: 0.2837 data_time: 0.0215 memory: 8198 grad_norm: 6.6894 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0456 loss: 1.0456 2022/08/03 12:09:10 - mmengine - INFO - Epoch(train) [144][1000/1879] lr: 1.0000e-04 eta: 16:42:26 time: 0.2868 data_time: 0.0234 memory: 8198 grad_norm: 6.7711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9961 loss: 0.9961 2022/08/03 12:09:16 - mmengine - INFO - Epoch(train) [144][1020/1879] lr: 1.0000e-04 eta: 16:42:20 time: 0.2820 data_time: 0.0213 memory: 8198 grad_norm: 6.7618 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0011 loss: 1.0011 2022/08/03 12:09:22 - mmengine - INFO - Epoch(train) [144][1040/1879] lr: 1.0000e-04 eta: 16:42:15 time: 0.2883 data_time: 0.0254 memory: 8198 grad_norm: 6.6252 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8432 loss: 0.8432 2022/08/03 12:09:28 - mmengine - INFO - Epoch(train) [144][1060/1879] lr: 1.0000e-04 eta: 16:42:09 time: 0.2876 data_time: 0.0264 memory: 8198 grad_norm: 6.7723 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9058 loss: 0.9058 2022/08/03 12:09:33 - mmengine - INFO - Epoch(train) [144][1080/1879] lr: 1.0000e-04 eta: 16:42:03 time: 0.2884 data_time: 0.0206 memory: 8198 grad_norm: 6.6860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/08/03 12:09:39 - mmengine - INFO - Epoch(train) [144][1100/1879] lr: 1.0000e-04 eta: 16:41:58 time: 0.2862 data_time: 0.0230 memory: 8198 grad_norm: 6.5717 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0258 loss: 1.0258 2022/08/03 12:09:45 - mmengine - INFO - Epoch(train) [144][1120/1879] lr: 1.0000e-04 eta: 16:41:52 time: 0.2838 data_time: 0.0228 memory: 8198 grad_norm: 6.5178 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/08/03 12:09:51 - mmengine - INFO - Epoch(train) [144][1140/1879] lr: 1.0000e-04 eta: 16:41:46 time: 0.2865 data_time: 0.0227 memory: 8198 grad_norm: 6.6244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/08/03 12:09:56 - mmengine - INFO - Epoch(train) [144][1160/1879] lr: 1.0000e-04 eta: 16:41:41 time: 0.2826 data_time: 0.0224 memory: 8198 grad_norm: 6.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/08/03 12:10:02 - mmengine - INFO - Epoch(train) [144][1180/1879] lr: 1.0000e-04 eta: 16:41:35 time: 0.2877 data_time: 0.0194 memory: 8198 grad_norm: 6.5518 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0405 loss: 1.0405 2022/08/03 12:10:08 - mmengine - INFO - Epoch(train) [144][1200/1879] lr: 1.0000e-04 eta: 16:41:29 time: 0.2871 data_time: 0.0216 memory: 8198 grad_norm: 6.7359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9191 loss: 0.9191 2022/08/03 12:10:14 - mmengine - INFO - Epoch(train) [144][1220/1879] lr: 1.0000e-04 eta: 16:41:24 time: 0.2870 data_time: 0.0208 memory: 8198 grad_norm: 6.6523 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8985 loss: 0.8985 2022/08/03 12:10:19 - mmengine - INFO - Epoch(train) [144][1240/1879] lr: 1.0000e-04 eta: 16:41:18 time: 0.2868 data_time: 0.0239 memory: 8198 grad_norm: 6.6619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/08/03 12:10:25 - mmengine - INFO - Epoch(train) [144][1260/1879] lr: 1.0000e-04 eta: 16:41:12 time: 0.2832 data_time: 0.0229 memory: 8198 grad_norm: 6.7053 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/08/03 12:10:31 - mmengine - INFO - Epoch(train) [144][1280/1879] lr: 1.0000e-04 eta: 16:41:07 time: 0.2861 data_time: 0.0178 memory: 8198 grad_norm: 6.8010 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0517 loss: 1.0517 2022/08/03 12:10:36 - mmengine - INFO - Epoch(train) [144][1300/1879] lr: 1.0000e-04 eta: 16:41:01 time: 0.2848 data_time: 0.0212 memory: 8198 grad_norm: 6.9677 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9353 loss: 0.9353 2022/08/03 12:10:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:10:42 - mmengine - INFO - Epoch(train) [144][1320/1879] lr: 1.0000e-04 eta: 16:40:55 time: 0.2835 data_time: 0.0237 memory: 8198 grad_norm: 6.9708 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0778 loss: 1.0778 2022/08/03 12:10:48 - mmengine - INFO - Epoch(train) [144][1340/1879] lr: 1.0000e-04 eta: 16:40:50 time: 0.2830 data_time: 0.0198 memory: 8198 grad_norm: 6.8202 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0403 loss: 1.0403 2022/08/03 12:10:54 - mmengine - INFO - Epoch(train) [144][1360/1879] lr: 1.0000e-04 eta: 16:40:44 time: 0.2890 data_time: 0.0228 memory: 8198 grad_norm: 6.7419 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8230 loss: 0.8230 2022/08/03 12:10:59 - mmengine - INFO - Epoch(train) [144][1380/1879] lr: 1.0000e-04 eta: 16:40:38 time: 0.2896 data_time: 0.0215 memory: 8198 grad_norm: 6.9131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1541 loss: 1.1541 2022/08/03 12:11:05 - mmengine - INFO - Epoch(train) [144][1400/1879] lr: 1.0000e-04 eta: 16:40:33 time: 0.2853 data_time: 0.0222 memory: 8198 grad_norm: 6.7635 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0936 loss: 1.0936 2022/08/03 12:11:11 - mmengine - INFO - Epoch(train) [144][1420/1879] lr: 1.0000e-04 eta: 16:40:27 time: 0.2841 data_time: 0.0220 memory: 8198 grad_norm: 6.6974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1182 loss: 1.1182 2022/08/03 12:11:17 - mmengine - INFO - Epoch(train) [144][1440/1879] lr: 1.0000e-04 eta: 16:40:21 time: 0.2881 data_time: 0.0229 memory: 8198 grad_norm: 6.5658 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9706 loss: 0.9706 2022/08/03 12:11:22 - mmengine - INFO - Epoch(train) [144][1460/1879] lr: 1.0000e-04 eta: 16:40:16 time: 0.2824 data_time: 0.0215 memory: 8198 grad_norm: 6.6384 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0412 loss: 1.0412 2022/08/03 12:11:28 - mmengine - INFO - Epoch(train) [144][1480/1879] lr: 1.0000e-04 eta: 16:40:10 time: 0.2823 data_time: 0.0200 memory: 8198 grad_norm: 6.8708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/08/03 12:11:34 - mmengine - INFO - Epoch(train) [144][1500/1879] lr: 1.0000e-04 eta: 16:40:04 time: 0.2875 data_time: 0.0243 memory: 8198 grad_norm: 6.6093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9604 loss: 0.9604 2022/08/03 12:11:39 - mmengine - INFO - Epoch(train) [144][1520/1879] lr: 1.0000e-04 eta: 16:39:58 time: 0.2827 data_time: 0.0236 memory: 8198 grad_norm: 6.7131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0055 loss: 1.0055 2022/08/03 12:11:45 - mmengine - INFO - Epoch(train) [144][1540/1879] lr: 1.0000e-04 eta: 16:39:53 time: 0.2832 data_time: 0.0220 memory: 8198 grad_norm: 6.5869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9060 loss: 0.9060 2022/08/03 12:11:51 - mmengine - INFO - Epoch(train) [144][1560/1879] lr: 1.0000e-04 eta: 16:39:47 time: 0.2860 data_time: 0.0245 memory: 8198 grad_norm: 6.9215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0006 loss: 1.0006 2022/08/03 12:11:57 - mmengine - INFO - Epoch(train) [144][1580/1879] lr: 1.0000e-04 eta: 16:39:41 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 6.9751 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0910 loss: 1.0910 2022/08/03 12:12:02 - mmengine - INFO - Epoch(train) [144][1600/1879] lr: 1.0000e-04 eta: 16:39:36 time: 0.2899 data_time: 0.0208 memory: 8198 grad_norm: 7.0612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1931 loss: 1.1931 2022/08/03 12:12:08 - mmengine - INFO - Epoch(train) [144][1620/1879] lr: 1.0000e-04 eta: 16:39:30 time: 0.2848 data_time: 0.0233 memory: 8198 grad_norm: 6.9637 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1054 loss: 1.1054 2022/08/03 12:12:14 - mmengine - INFO - Epoch(train) [144][1640/1879] lr: 1.0000e-04 eta: 16:39:25 time: 0.2952 data_time: 0.0196 memory: 8198 grad_norm: 6.8414 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/08/03 12:12:20 - mmengine - INFO - Epoch(train) [144][1660/1879] lr: 1.0000e-04 eta: 16:39:19 time: 0.2850 data_time: 0.0244 memory: 8198 grad_norm: 6.7598 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2339 loss: 1.2339 2022/08/03 12:12:26 - mmengine - INFO - Epoch(train) [144][1680/1879] lr: 1.0000e-04 eta: 16:39:13 time: 0.2875 data_time: 0.0210 memory: 8198 grad_norm: 6.7689 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0323 loss: 1.0323 2022/08/03 12:12:31 - mmengine - INFO - Epoch(train) [144][1700/1879] lr: 1.0000e-04 eta: 16:39:08 time: 0.2890 data_time: 0.0206 memory: 8198 grad_norm: 7.0564 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0008 loss: 1.0008 2022/08/03 12:12:37 - mmengine - INFO - Epoch(train) [144][1720/1879] lr: 1.0000e-04 eta: 16:39:02 time: 0.2814 data_time: 0.0207 memory: 8198 grad_norm: 6.6787 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0038 loss: 1.0038 2022/08/03 12:12:43 - mmengine - INFO - Epoch(train) [144][1740/1879] lr: 1.0000e-04 eta: 16:38:56 time: 0.2863 data_time: 0.0253 memory: 8198 grad_norm: 6.8596 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1690 loss: 1.1690 2022/08/03 12:12:48 - mmengine - INFO - Epoch(train) [144][1760/1879] lr: 1.0000e-04 eta: 16:38:51 time: 0.2852 data_time: 0.0197 memory: 8198 grad_norm: 6.9263 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0950 loss: 1.0950 2022/08/03 12:12:55 - mmengine - INFO - Epoch(train) [144][1780/1879] lr: 1.0000e-04 eta: 16:38:45 time: 0.2994 data_time: 0.0283 memory: 8198 grad_norm: 6.9103 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9684 loss: 0.9684 2022/08/03 12:13:00 - mmengine - INFO - Epoch(train) [144][1800/1879] lr: 1.0000e-04 eta: 16:38:39 time: 0.2860 data_time: 0.0214 memory: 8198 grad_norm: 6.9963 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9845 loss: 0.9845 2022/08/03 12:13:06 - mmengine - INFO - Epoch(train) [144][1820/1879] lr: 1.0000e-04 eta: 16:38:34 time: 0.2839 data_time: 0.0222 memory: 8198 grad_norm: 6.9170 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9749 loss: 0.9749 2022/08/03 12:13:12 - mmengine - INFO - Epoch(train) [144][1840/1879] lr: 1.0000e-04 eta: 16:38:28 time: 0.2861 data_time: 0.0210 memory: 8198 grad_norm: 6.7730 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0520 loss: 1.0520 2022/08/03 12:13:17 - mmengine - INFO - Epoch(train) [144][1860/1879] lr: 1.0000e-04 eta: 16:38:22 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 6.8140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9986 loss: 0.9986 2022/08/03 12:13:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:13:22 - mmengine - INFO - Epoch(train) [144][1879/1879] lr: 1.0000e-04 eta: 16:38:22 time: 0.2601 data_time: 0.0150 memory: 8198 grad_norm: 7.1057 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1913 loss: 1.1913 2022/08/03 12:13:22 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/08/03 12:13:32 - mmengine - INFO - Epoch(train) [145][20/1879] lr: 1.0000e-04 eta: 16:38:08 time: 0.3661 data_time: 0.1065 memory: 8198 grad_norm: 6.9545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/08/03 12:13:38 - mmengine - INFO - Epoch(train) [145][40/1879] lr: 1.0000e-04 eta: 16:38:03 time: 0.2826 data_time: 0.0193 memory: 8198 grad_norm: 6.6804 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8906 loss: 0.8906 2022/08/03 12:13:44 - mmengine - INFO - Epoch(train) [145][60/1879] lr: 1.0000e-04 eta: 16:37:57 time: 0.2884 data_time: 0.0218 memory: 8198 grad_norm: 6.6674 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0358 loss: 1.0358 2022/08/03 12:13:49 - mmengine - INFO - Epoch(train) [145][80/1879] lr: 1.0000e-04 eta: 16:37:51 time: 0.2862 data_time: 0.0241 memory: 8198 grad_norm: 7.0351 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/08/03 12:13:55 - mmengine - INFO - Epoch(train) [145][100/1879] lr: 1.0000e-04 eta: 16:37:46 time: 0.2881 data_time: 0.0299 memory: 8198 grad_norm: 6.8236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0618 loss: 1.0618 2022/08/03 12:14:01 - mmengine - INFO - Epoch(train) [145][120/1879] lr: 1.0000e-04 eta: 16:37:40 time: 0.3063 data_time: 0.0182 memory: 8198 grad_norm: 6.7577 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9327 loss: 0.9327 2022/08/03 12:14:07 - mmengine - INFO - Epoch(train) [145][140/1879] lr: 1.0000e-04 eta: 16:37:35 time: 0.2814 data_time: 0.0215 memory: 8198 grad_norm: 7.0984 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9611 loss: 0.9611 2022/08/03 12:14:13 - mmengine - INFO - Epoch(train) [145][160/1879] lr: 1.0000e-04 eta: 16:37:29 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 6.9163 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9748 loss: 0.9748 2022/08/03 12:14:18 - mmengine - INFO - Epoch(train) [145][180/1879] lr: 1.0000e-04 eta: 16:37:23 time: 0.2878 data_time: 0.0246 memory: 8198 grad_norm: 6.7155 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9337 loss: 0.9337 2022/08/03 12:14:24 - mmengine - INFO - Epoch(train) [145][200/1879] lr: 1.0000e-04 eta: 16:37:18 time: 0.2922 data_time: 0.0199 memory: 8198 grad_norm: 6.7146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/08/03 12:14:30 - mmengine - INFO - Epoch(train) [145][220/1879] lr: 1.0000e-04 eta: 16:37:12 time: 0.2865 data_time: 0.0252 memory: 8198 grad_norm: 6.7057 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9477 loss: 0.9477 2022/08/03 12:14:36 - mmengine - INFO - Epoch(train) [145][240/1879] lr: 1.0000e-04 eta: 16:37:06 time: 0.2840 data_time: 0.0231 memory: 8198 grad_norm: 7.0289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9550 loss: 0.9550 2022/08/03 12:14:41 - mmengine - INFO - Epoch(train) [145][260/1879] lr: 1.0000e-04 eta: 16:37:01 time: 0.2865 data_time: 0.0223 memory: 8198 grad_norm: 6.7420 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9498 loss: 0.9498 2022/08/03 12:14:47 - mmengine - INFO - Epoch(train) [145][280/1879] lr: 1.0000e-04 eta: 16:36:55 time: 0.2848 data_time: 0.0210 memory: 8198 grad_norm: 7.0701 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1958 loss: 1.1958 2022/08/03 12:14:53 - mmengine - INFO - Epoch(train) [145][300/1879] lr: 1.0000e-04 eta: 16:36:49 time: 0.2870 data_time: 0.0246 memory: 8198 grad_norm: 6.9213 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0751 loss: 1.0751 2022/08/03 12:14:59 - mmengine - INFO - Epoch(train) [145][320/1879] lr: 1.0000e-04 eta: 16:36:44 time: 0.2813 data_time: 0.0221 memory: 8198 grad_norm: 6.8056 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1470 loss: 1.1470 2022/08/03 12:15:04 - mmengine - INFO - Epoch(train) [145][340/1879] lr: 1.0000e-04 eta: 16:36:38 time: 0.2894 data_time: 0.0223 memory: 8198 grad_norm: 6.7205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/08/03 12:15:10 - mmengine - INFO - Epoch(train) [145][360/1879] lr: 1.0000e-04 eta: 16:36:32 time: 0.2897 data_time: 0.0216 memory: 8198 grad_norm: 6.5796 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/03 12:15:16 - mmengine - INFO - Epoch(train) [145][380/1879] lr: 1.0000e-04 eta: 16:36:27 time: 0.2859 data_time: 0.0220 memory: 8198 grad_norm: 6.7014 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0846 loss: 1.0846 2022/08/03 12:15:22 - mmengine - INFO - Epoch(train) [145][400/1879] lr: 1.0000e-04 eta: 16:36:21 time: 0.2894 data_time: 0.0263 memory: 8198 grad_norm: 7.0382 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/08/03 12:15:28 - mmengine - INFO - Epoch(train) [145][420/1879] lr: 1.0000e-04 eta: 16:36:15 time: 0.2879 data_time: 0.0229 memory: 8198 grad_norm: 6.8142 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0745 loss: 1.0745 2022/08/03 12:15:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:15:33 - mmengine - INFO - Epoch(train) [145][440/1879] lr: 1.0000e-04 eta: 16:36:10 time: 0.2882 data_time: 0.0193 memory: 8198 grad_norm: 6.8813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1786 loss: 1.1786 2022/08/03 12:15:39 - mmengine - INFO - Epoch(train) [145][460/1879] lr: 1.0000e-04 eta: 16:36:04 time: 0.2922 data_time: 0.0246 memory: 8198 grad_norm: 6.8194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/08/03 12:15:45 - mmengine - INFO - Epoch(train) [145][480/1879] lr: 1.0000e-04 eta: 16:35:59 time: 0.2862 data_time: 0.0208 memory: 8198 grad_norm: 6.5791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9382 loss: 0.9382 2022/08/03 12:15:51 - mmengine - INFO - Epoch(train) [145][500/1879] lr: 1.0000e-04 eta: 16:35:53 time: 0.2876 data_time: 0.0232 memory: 8198 grad_norm: 6.8815 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9293 loss: 0.9293 2022/08/03 12:15:56 - mmengine - INFO - Epoch(train) [145][520/1879] lr: 1.0000e-04 eta: 16:35:47 time: 0.2820 data_time: 0.0202 memory: 8198 grad_norm: 6.8679 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/08/03 12:16:02 - mmengine - INFO - Epoch(train) [145][540/1879] lr: 1.0000e-04 eta: 16:35:42 time: 0.2939 data_time: 0.0246 memory: 8198 grad_norm: 6.6608 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0198 loss: 1.0198 2022/08/03 12:16:08 - mmengine - INFO - Epoch(train) [145][560/1879] lr: 1.0000e-04 eta: 16:35:36 time: 0.2880 data_time: 0.0191 memory: 8198 grad_norm: 6.7740 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/03 12:16:14 - mmengine - INFO - Epoch(train) [145][580/1879] lr: 1.0000e-04 eta: 16:35:30 time: 0.2861 data_time: 0.0239 memory: 8198 grad_norm: 6.8250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1310 loss: 1.1310 2022/08/03 12:16:19 - mmengine - INFO - Epoch(train) [145][600/1879] lr: 1.0000e-04 eta: 16:35:25 time: 0.2842 data_time: 0.0255 memory: 8198 grad_norm: 6.4893 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9974 loss: 0.9974 2022/08/03 12:16:25 - mmengine - INFO - Epoch(train) [145][620/1879] lr: 1.0000e-04 eta: 16:35:19 time: 0.2815 data_time: 0.0200 memory: 8198 grad_norm: 6.9721 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/03 12:16:31 - mmengine - INFO - Epoch(train) [145][640/1879] lr: 1.0000e-04 eta: 16:35:13 time: 0.2917 data_time: 0.0227 memory: 8198 grad_norm: 6.7910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9735 loss: 0.9735 2022/08/03 12:16:37 - mmengine - INFO - Epoch(train) [145][660/1879] lr: 1.0000e-04 eta: 16:35:08 time: 0.2809 data_time: 0.0215 memory: 8198 grad_norm: 6.6770 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9165 loss: 0.9165 2022/08/03 12:16:42 - mmengine - INFO - Epoch(train) [145][680/1879] lr: 1.0000e-04 eta: 16:35:02 time: 0.2846 data_time: 0.0152 memory: 8198 grad_norm: 6.7249 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0173 loss: 1.0173 2022/08/03 12:16:48 - mmengine - INFO - Epoch(train) [145][700/1879] lr: 1.0000e-04 eta: 16:34:56 time: 0.2877 data_time: 0.0250 memory: 8198 grad_norm: 6.9594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8648 loss: 0.8648 2022/08/03 12:16:54 - mmengine - INFO - Epoch(train) [145][720/1879] lr: 1.0000e-04 eta: 16:34:51 time: 0.2881 data_time: 0.0206 memory: 8198 grad_norm: 6.6667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9429 loss: 0.9429 2022/08/03 12:17:00 - mmengine - INFO - Epoch(train) [145][740/1879] lr: 1.0000e-04 eta: 16:34:45 time: 0.2819 data_time: 0.0189 memory: 8198 grad_norm: 6.7204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9744 loss: 0.9744 2022/08/03 12:17:05 - mmengine - INFO - Epoch(train) [145][760/1879] lr: 1.0000e-04 eta: 16:34:39 time: 0.2831 data_time: 0.0203 memory: 8198 grad_norm: 6.6292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7811 loss: 0.7811 2022/08/03 12:17:12 - mmengine - INFO - Epoch(train) [145][780/1879] lr: 1.0000e-04 eta: 16:34:34 time: 0.3211 data_time: 0.0237 memory: 8198 grad_norm: 6.9733 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9369 loss: 0.9369 2022/08/03 12:17:17 - mmengine - INFO - Epoch(train) [145][800/1879] lr: 1.0000e-04 eta: 16:34:28 time: 0.2824 data_time: 0.0246 memory: 8198 grad_norm: 6.7618 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8598 loss: 0.8598 2022/08/03 12:17:23 - mmengine - INFO - Epoch(train) [145][820/1879] lr: 1.0000e-04 eta: 16:34:23 time: 0.2892 data_time: 0.0295 memory: 8198 grad_norm: 6.8287 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9287 loss: 0.9287 2022/08/03 12:17:29 - mmengine - INFO - Epoch(train) [145][840/1879] lr: 1.0000e-04 eta: 16:34:17 time: 0.2818 data_time: 0.0164 memory: 8198 grad_norm: 6.9580 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9825 loss: 0.9825 2022/08/03 12:17:35 - mmengine - INFO - Epoch(train) [145][860/1879] lr: 1.0000e-04 eta: 16:34:11 time: 0.2885 data_time: 0.0265 memory: 8198 grad_norm: 6.8986 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1231 loss: 1.1231 2022/08/03 12:17:40 - mmengine - INFO - Epoch(train) [145][880/1879] lr: 1.0000e-04 eta: 16:34:06 time: 0.2819 data_time: 0.0202 memory: 8198 grad_norm: 6.5317 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9507 loss: 0.9507 2022/08/03 12:17:46 - mmengine - INFO - Epoch(train) [145][900/1879] lr: 1.0000e-04 eta: 16:34:00 time: 0.2863 data_time: 0.0231 memory: 8198 grad_norm: 6.7590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0453 loss: 1.0453 2022/08/03 12:17:52 - mmengine - INFO - Epoch(train) [145][920/1879] lr: 1.0000e-04 eta: 16:33:54 time: 0.2879 data_time: 0.0214 memory: 8198 grad_norm: 6.7920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0409 loss: 1.0409 2022/08/03 12:17:58 - mmengine - INFO - Epoch(train) [145][940/1879] lr: 1.0000e-04 eta: 16:33:49 time: 0.2891 data_time: 0.0270 memory: 8198 grad_norm: 6.6952 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0107 loss: 1.0107 2022/08/03 12:18:03 - mmengine - INFO - Epoch(train) [145][960/1879] lr: 1.0000e-04 eta: 16:33:43 time: 0.2844 data_time: 0.0152 memory: 8198 grad_norm: 6.7761 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8716 loss: 0.8716 2022/08/03 12:18:09 - mmengine - INFO - Epoch(train) [145][980/1879] lr: 1.0000e-04 eta: 16:33:37 time: 0.2840 data_time: 0.0252 memory: 8198 grad_norm: 7.0037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9278 loss: 0.9278 2022/08/03 12:18:15 - mmengine - INFO - Epoch(train) [145][1000/1879] lr: 1.0000e-04 eta: 16:33:32 time: 0.3216 data_time: 0.0176 memory: 8198 grad_norm: 6.6853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8618 loss: 0.8618 2022/08/03 12:18:21 - mmengine - INFO - Epoch(train) [145][1020/1879] lr: 1.0000e-04 eta: 16:33:26 time: 0.2881 data_time: 0.0242 memory: 8198 grad_norm: 6.8854 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8837 loss: 0.8837 2022/08/03 12:18:27 - mmengine - INFO - Epoch(train) [145][1040/1879] lr: 1.0000e-04 eta: 16:33:21 time: 0.2862 data_time: 0.0169 memory: 8198 grad_norm: 6.9383 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0786 loss: 1.0786 2022/08/03 12:18:33 - mmengine - INFO - Epoch(train) [145][1060/1879] lr: 1.0000e-04 eta: 16:33:15 time: 0.3023 data_time: 0.0248 memory: 8198 grad_norm: 6.6518 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/03 12:18:39 - mmengine - INFO - Epoch(train) [145][1080/1879] lr: 1.0000e-04 eta: 16:33:10 time: 0.2805 data_time: 0.0210 memory: 8198 grad_norm: 6.7479 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9977 loss: 0.9977 2022/08/03 12:18:45 - mmengine - INFO - Epoch(train) [145][1100/1879] lr: 1.0000e-04 eta: 16:33:04 time: 0.2898 data_time: 0.0230 memory: 8198 grad_norm: 6.7788 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/03 12:18:50 - mmengine - INFO - Epoch(train) [145][1120/1879] lr: 1.0000e-04 eta: 16:32:58 time: 0.2941 data_time: 0.0223 memory: 8198 grad_norm: 6.5724 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9959 loss: 0.9959 2022/08/03 12:18:56 - mmengine - INFO - Epoch(train) [145][1140/1879] lr: 1.0000e-04 eta: 16:32:53 time: 0.2874 data_time: 0.0245 memory: 8198 grad_norm: 6.6106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8439 loss: 0.8439 2022/08/03 12:19:02 - mmengine - INFO - Epoch(train) [145][1160/1879] lr: 1.0000e-04 eta: 16:32:47 time: 0.2842 data_time: 0.0246 memory: 8198 grad_norm: 6.7202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0603 loss: 1.0603 2022/08/03 12:19:08 - mmengine - INFO - Epoch(train) [145][1180/1879] lr: 1.0000e-04 eta: 16:32:41 time: 0.2913 data_time: 0.0270 memory: 8198 grad_norm: 6.7846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0086 loss: 1.0086 2022/08/03 12:19:13 - mmengine - INFO - Epoch(train) [145][1200/1879] lr: 1.0000e-04 eta: 16:32:36 time: 0.2861 data_time: 0.0185 memory: 8198 grad_norm: 7.1252 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/03 12:19:19 - mmengine - INFO - Epoch(train) [145][1220/1879] lr: 1.0000e-04 eta: 16:32:30 time: 0.2844 data_time: 0.0207 memory: 8198 grad_norm: 6.8643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9397 loss: 0.9397 2022/08/03 12:19:25 - mmengine - INFO - Epoch(train) [145][1240/1879] lr: 1.0000e-04 eta: 16:32:24 time: 0.2853 data_time: 0.0222 memory: 8198 grad_norm: 6.5703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9088 loss: 0.9088 2022/08/03 12:19:31 - mmengine - INFO - Epoch(train) [145][1260/1879] lr: 1.0000e-04 eta: 16:32:19 time: 0.2868 data_time: 0.0253 memory: 8198 grad_norm: 6.8077 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/03 12:19:36 - mmengine - INFO - Epoch(train) [145][1280/1879] lr: 1.0000e-04 eta: 16:32:13 time: 0.2857 data_time: 0.0161 memory: 8198 grad_norm: 6.7219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0066 loss: 1.0066 2022/08/03 12:19:42 - mmengine - INFO - Epoch(train) [145][1300/1879] lr: 1.0000e-04 eta: 16:32:07 time: 0.2862 data_time: 0.0280 memory: 8198 grad_norm: 6.6967 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0385 loss: 1.0385 2022/08/03 12:19:48 - mmengine - INFO - Epoch(train) [145][1320/1879] lr: 1.0000e-04 eta: 16:32:02 time: 0.2841 data_time: 0.0228 memory: 8198 grad_norm: 6.7988 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0096 loss: 1.0096 2022/08/03 12:19:54 - mmengine - INFO - Epoch(train) [145][1340/1879] lr: 1.0000e-04 eta: 16:31:56 time: 0.2852 data_time: 0.0195 memory: 8198 grad_norm: 6.7798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0247 loss: 1.0247 2022/08/03 12:19:59 - mmengine - INFO - Epoch(train) [145][1360/1879] lr: 1.0000e-04 eta: 16:31:50 time: 0.2850 data_time: 0.0244 memory: 8198 grad_norm: 6.7419 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0121 loss: 1.0121 2022/08/03 12:20:05 - mmengine - INFO - Epoch(train) [145][1380/1879] lr: 1.0000e-04 eta: 16:31:45 time: 0.2897 data_time: 0.0301 memory: 8198 grad_norm: 6.7953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0100 loss: 1.0100 2022/08/03 12:20:11 - mmengine - INFO - Epoch(train) [145][1400/1879] lr: 1.0000e-04 eta: 16:31:39 time: 0.2849 data_time: 0.0203 memory: 8198 grad_norm: 6.9742 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0771 loss: 1.0771 2022/08/03 12:20:17 - mmengine - INFO - Epoch(train) [145][1420/1879] lr: 1.0000e-04 eta: 16:31:33 time: 0.2856 data_time: 0.0231 memory: 8198 grad_norm: 6.9578 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0986 loss: 1.0986 2022/08/03 12:20:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:20:22 - mmengine - INFO - Epoch(train) [145][1440/1879] lr: 1.0000e-04 eta: 16:31:28 time: 0.2841 data_time: 0.0198 memory: 8198 grad_norm: 6.8962 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0442 loss: 1.0442 2022/08/03 12:20:28 - mmengine - INFO - Epoch(train) [145][1460/1879] lr: 1.0000e-04 eta: 16:31:22 time: 0.2867 data_time: 0.0225 memory: 8198 grad_norm: 6.9517 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9907 loss: 0.9907 2022/08/03 12:20:34 - mmengine - INFO - Epoch(train) [145][1480/1879] lr: 1.0000e-04 eta: 16:31:16 time: 0.2843 data_time: 0.0195 memory: 8198 grad_norm: 6.5748 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9512 loss: 0.9512 2022/08/03 12:20:39 - mmengine - INFO - Epoch(train) [145][1500/1879] lr: 1.0000e-04 eta: 16:31:11 time: 0.2852 data_time: 0.0205 memory: 8198 grad_norm: 6.7667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0263 loss: 1.0263 2022/08/03 12:20:45 - mmengine - INFO - Epoch(train) [145][1520/1879] lr: 1.0000e-04 eta: 16:31:05 time: 0.2848 data_time: 0.0226 memory: 8198 grad_norm: 6.9146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0492 loss: 1.0492 2022/08/03 12:20:51 - mmengine - INFO - Epoch(train) [145][1540/1879] lr: 1.0000e-04 eta: 16:30:59 time: 0.2861 data_time: 0.0215 memory: 8198 grad_norm: 6.9305 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0602 loss: 1.0602 2022/08/03 12:20:57 - mmengine - INFO - Epoch(train) [145][1560/1879] lr: 1.0000e-04 eta: 16:30:54 time: 0.2848 data_time: 0.0228 memory: 8198 grad_norm: 6.9245 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0127 loss: 1.0127 2022/08/03 12:21:02 - mmengine - INFO - Epoch(train) [145][1580/1879] lr: 1.0000e-04 eta: 16:30:48 time: 0.2876 data_time: 0.0223 memory: 8198 grad_norm: 6.7709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8957 loss: 0.8957 2022/08/03 12:21:08 - mmengine - INFO - Epoch(train) [145][1600/1879] lr: 1.0000e-04 eta: 16:30:42 time: 0.2877 data_time: 0.0267 memory: 8198 grad_norm: 6.7557 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0563 loss: 1.0563 2022/08/03 12:21:14 - mmengine - INFO - Epoch(train) [145][1620/1879] lr: 1.0000e-04 eta: 16:30:37 time: 0.2915 data_time: 0.0202 memory: 8198 grad_norm: 6.8915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8470 loss: 0.8470 2022/08/03 12:21:20 - mmengine - INFO - Epoch(train) [145][1640/1879] lr: 1.0000e-04 eta: 16:30:31 time: 0.2841 data_time: 0.0230 memory: 8198 grad_norm: 6.8845 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/08/03 12:21:25 - mmengine - INFO - Epoch(train) [145][1660/1879] lr: 1.0000e-04 eta: 16:30:25 time: 0.2812 data_time: 0.0180 memory: 8198 grad_norm: 6.8469 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9376 loss: 0.9376 2022/08/03 12:21:31 - mmengine - INFO - Epoch(train) [145][1680/1879] lr: 1.0000e-04 eta: 16:30:20 time: 0.2869 data_time: 0.0269 memory: 8198 grad_norm: 6.7832 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9364 loss: 0.9364 2022/08/03 12:21:37 - mmengine - INFO - Epoch(train) [145][1700/1879] lr: 1.0000e-04 eta: 16:30:14 time: 0.2821 data_time: 0.0231 memory: 8198 grad_norm: 6.7451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9721 loss: 0.9721 2022/08/03 12:21:43 - mmengine - INFO - Epoch(train) [145][1720/1879] lr: 1.0000e-04 eta: 16:30:08 time: 0.2885 data_time: 0.0192 memory: 8198 grad_norm: 6.7523 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0828 loss: 1.0828 2022/08/03 12:21:48 - mmengine - INFO - Epoch(train) [145][1740/1879] lr: 1.0000e-04 eta: 16:30:03 time: 0.2912 data_time: 0.0267 memory: 8198 grad_norm: 6.8393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/08/03 12:21:54 - mmengine - INFO - Epoch(train) [145][1760/1879] lr: 1.0000e-04 eta: 16:29:57 time: 0.2901 data_time: 0.0269 memory: 8198 grad_norm: 6.7915 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9437 loss: 0.9437 2022/08/03 12:22:00 - mmengine - INFO - Epoch(train) [145][1780/1879] lr: 1.0000e-04 eta: 16:29:51 time: 0.2885 data_time: 0.0229 memory: 8198 grad_norm: 6.8328 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1600 loss: 1.1600 2022/08/03 12:22:06 - mmengine - INFO - Epoch(train) [145][1800/1879] lr: 1.0000e-04 eta: 16:29:46 time: 0.2826 data_time: 0.0264 memory: 8198 grad_norm: 6.8019 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1858 loss: 1.1858 2022/08/03 12:22:11 - mmengine - INFO - Epoch(train) [145][1820/1879] lr: 1.0000e-04 eta: 16:29:40 time: 0.2881 data_time: 0.0254 memory: 8198 grad_norm: 6.6106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/08/03 12:22:17 - mmengine - INFO - Epoch(train) [145][1840/1879] lr: 1.0000e-04 eta: 16:29:34 time: 0.2845 data_time: 0.0216 memory: 8198 grad_norm: 6.8047 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0337 loss: 1.0337 2022/08/03 12:22:23 - mmengine - INFO - Epoch(train) [145][1860/1879] lr: 1.0000e-04 eta: 16:29:29 time: 0.2879 data_time: 0.0289 memory: 8198 grad_norm: 6.8979 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/08/03 12:22:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:22:28 - mmengine - INFO - Epoch(train) [145][1879/1879] lr: 1.0000e-04 eta: 16:29:29 time: 0.2585 data_time: 0.0176 memory: 8198 grad_norm: 7.0430 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1839 loss: 1.1839 2022/08/03 12:22:34 - mmengine - INFO - Epoch(val) [145][20/155] eta: 0:00:44 time: 0.3269 data_time: 0.2347 memory: 1514 2022/08/03 12:22:39 - mmengine - INFO - Epoch(val) [145][40/155] eta: 0:00:26 time: 0.2293 data_time: 0.1419 memory: 1514 2022/08/03 12:22:45 - mmengine - INFO - Epoch(val) [145][60/155] eta: 0:00:27 time: 0.2944 data_time: 0.1976 memory: 1514 2022/08/03 12:22:51 - mmengine - INFO - Epoch(val) [145][80/155] eta: 0:00:21 time: 0.2890 data_time: 0.2039 memory: 1514 2022/08/03 12:22:56 - mmengine - INFO - Epoch(val) [145][100/155] eta: 0:00:15 time: 0.2757 data_time: 0.1929 memory: 1514 2022/08/03 12:23:01 - mmengine - INFO - Epoch(val) [145][120/155] eta: 0:00:07 time: 0.2150 data_time: 0.1314 memory: 1514 2022/08/03 12:23:06 - mmengine - INFO - Epoch(val) [145][140/155] eta: 0:00:04 time: 0.2780 data_time: 0.1949 memory: 1514 2022/08/03 12:23:13 - mmengine - INFO - Epoch(val) [145][155/155] acc/top1: 0.6805 acc/top5: 0.8689 acc/mean1: 0.6804 2022/08/03 12:23:21 - mmengine - INFO - Epoch(train) [146][20/1879] lr: 1.0000e-04 eta: 16:29:15 time: 0.3943 data_time: 0.0961 memory: 8198 grad_norm: 6.8083 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9813 loss: 0.9813 2022/08/03 12:23:27 - mmengine - INFO - Epoch(train) [146][40/1879] lr: 1.0000e-04 eta: 16:29:10 time: 0.2870 data_time: 0.0189 memory: 8198 grad_norm: 7.2149 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1167 loss: 1.1167 2022/08/03 12:23:33 - mmengine - INFO - Epoch(train) [146][60/1879] lr: 1.0000e-04 eta: 16:29:04 time: 0.3002 data_time: 0.0232 memory: 8198 grad_norm: 6.7078 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1442 loss: 1.1442 2022/08/03 12:23:39 - mmengine - INFO - Epoch(train) [146][80/1879] lr: 1.0000e-04 eta: 16:28:58 time: 0.2866 data_time: 0.0196 memory: 8198 grad_norm: 6.7992 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9112 loss: 0.9112 2022/08/03 12:23:44 - mmengine - INFO - Epoch(train) [146][100/1879] lr: 1.0000e-04 eta: 16:28:53 time: 0.2876 data_time: 0.0238 memory: 8198 grad_norm: 6.6659 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9974 loss: 0.9974 2022/08/03 12:23:50 - mmengine - INFO - Epoch(train) [146][120/1879] lr: 1.0000e-04 eta: 16:28:47 time: 0.2994 data_time: 0.0181 memory: 8198 grad_norm: 6.9692 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0829 loss: 1.0829 2022/08/03 12:23:56 - mmengine - INFO - Epoch(train) [146][140/1879] lr: 1.0000e-04 eta: 16:28:42 time: 0.2822 data_time: 0.0254 memory: 8198 grad_norm: 6.6697 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0316 loss: 1.0316 2022/08/03 12:24:02 - mmengine - INFO - Epoch(train) [146][160/1879] lr: 1.0000e-04 eta: 16:28:36 time: 0.2888 data_time: 0.0211 memory: 8198 grad_norm: 6.6761 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9954 loss: 0.9954 2022/08/03 12:24:08 - mmengine - INFO - Epoch(train) [146][180/1879] lr: 1.0000e-04 eta: 16:28:30 time: 0.2851 data_time: 0.0241 memory: 8198 grad_norm: 7.0857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/08/03 12:24:13 - mmengine - INFO - Epoch(train) [146][200/1879] lr: 1.0000e-04 eta: 16:28:25 time: 0.2846 data_time: 0.0255 memory: 8198 grad_norm: 6.6439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4056 loss: 1.4056 2022/08/03 12:24:19 - mmengine - INFO - Epoch(train) [146][220/1879] lr: 1.0000e-04 eta: 16:28:19 time: 0.2844 data_time: 0.0248 memory: 8198 grad_norm: 6.7152 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0974 loss: 1.0974 2022/08/03 12:24:25 - mmengine - INFO - Epoch(train) [146][240/1879] lr: 1.0000e-04 eta: 16:28:13 time: 0.2830 data_time: 0.0250 memory: 8198 grad_norm: 6.8302 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9811 loss: 0.9811 2022/08/03 12:24:31 - mmengine - INFO - Epoch(train) [146][260/1879] lr: 1.0000e-04 eta: 16:28:08 time: 0.2959 data_time: 0.0241 memory: 8198 grad_norm: 6.4874 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8724 loss: 0.8724 2022/08/03 12:24:36 - mmengine - INFO - Epoch(train) [146][280/1879] lr: 1.0000e-04 eta: 16:28:02 time: 0.2835 data_time: 0.0209 memory: 8198 grad_norm: 6.4744 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9369 loss: 0.9369 2022/08/03 12:24:42 - mmengine - INFO - Epoch(train) [146][300/1879] lr: 1.0000e-04 eta: 16:27:56 time: 0.2865 data_time: 0.0228 memory: 8198 grad_norm: 6.6929 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/08/03 12:24:48 - mmengine - INFO - Epoch(train) [146][320/1879] lr: 1.0000e-04 eta: 16:27:51 time: 0.2829 data_time: 0.0206 memory: 8198 grad_norm: 6.9918 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1652 loss: 1.1652 2022/08/03 12:24:53 - mmengine - INFO - Epoch(train) [146][340/1879] lr: 1.0000e-04 eta: 16:27:45 time: 0.2865 data_time: 0.0259 memory: 8198 grad_norm: 6.8366 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0378 loss: 1.0378 2022/08/03 12:24:59 - mmengine - INFO - Epoch(train) [146][360/1879] lr: 1.0000e-04 eta: 16:27:39 time: 0.2824 data_time: 0.0200 memory: 8198 grad_norm: 6.7840 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8892 loss: 0.8892 2022/08/03 12:25:05 - mmengine - INFO - Epoch(train) [146][380/1879] lr: 1.0000e-04 eta: 16:27:34 time: 0.2894 data_time: 0.0208 memory: 8198 grad_norm: 6.9024 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7991 loss: 0.7991 2022/08/03 12:25:11 - mmengine - INFO - Epoch(train) [146][400/1879] lr: 1.0000e-04 eta: 16:27:28 time: 0.2902 data_time: 0.0230 memory: 8198 grad_norm: 6.8855 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0899 loss: 1.0899 2022/08/03 12:25:16 - mmengine - INFO - Epoch(train) [146][420/1879] lr: 1.0000e-04 eta: 16:27:22 time: 0.2824 data_time: 0.0220 memory: 8198 grad_norm: 6.8368 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9927 loss: 0.9927 2022/08/03 12:25:22 - mmengine - INFO - Epoch(train) [146][440/1879] lr: 1.0000e-04 eta: 16:27:16 time: 0.2833 data_time: 0.0241 memory: 8198 grad_norm: 7.0741 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0973 loss: 1.0973 2022/08/03 12:25:28 - mmengine - INFO - Epoch(train) [146][460/1879] lr: 1.0000e-04 eta: 16:27:11 time: 0.2882 data_time: 0.0273 memory: 8198 grad_norm: 6.8960 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2545 loss: 1.2545 2022/08/03 12:25:34 - mmengine - INFO - Epoch(train) [146][480/1879] lr: 1.0000e-04 eta: 16:27:05 time: 0.2845 data_time: 0.0234 memory: 8198 grad_norm: 6.8476 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9711 loss: 0.9711 2022/08/03 12:25:39 - mmengine - INFO - Epoch(train) [146][500/1879] lr: 1.0000e-04 eta: 16:26:59 time: 0.2839 data_time: 0.0218 memory: 8198 grad_norm: 6.9342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9493 loss: 0.9493 2022/08/03 12:25:45 - mmengine - INFO - Epoch(train) [146][520/1879] lr: 1.0000e-04 eta: 16:26:54 time: 0.2823 data_time: 0.0223 memory: 8198 grad_norm: 6.9013 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9288 loss: 0.9288 2022/08/03 12:25:51 - mmengine - INFO - Epoch(train) [146][540/1879] lr: 1.0000e-04 eta: 16:26:48 time: 0.2889 data_time: 0.0268 memory: 8198 grad_norm: 7.0653 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9695 loss: 0.9695 2022/08/03 12:25:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:25:56 - mmengine - INFO - Epoch(train) [146][560/1879] lr: 1.0000e-04 eta: 16:26:42 time: 0.2823 data_time: 0.0181 memory: 8198 grad_norm: 6.7784 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9387 loss: 0.9387 2022/08/03 12:26:02 - mmengine - INFO - Epoch(train) [146][580/1879] lr: 1.0000e-04 eta: 16:26:37 time: 0.2842 data_time: 0.0202 memory: 8198 grad_norm: 6.6651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0032 loss: 1.0032 2022/08/03 12:26:08 - mmengine - INFO - Epoch(train) [146][600/1879] lr: 1.0000e-04 eta: 16:26:31 time: 0.2816 data_time: 0.0224 memory: 8198 grad_norm: 6.7635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9168 loss: 0.9168 2022/08/03 12:26:14 - mmengine - INFO - Epoch(train) [146][620/1879] lr: 1.0000e-04 eta: 16:26:25 time: 0.2889 data_time: 0.0212 memory: 8198 grad_norm: 6.8613 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1770 loss: 1.1770 2022/08/03 12:26:19 - mmengine - INFO - Epoch(train) [146][640/1879] lr: 1.0000e-04 eta: 16:26:20 time: 0.2842 data_time: 0.0244 memory: 8198 grad_norm: 6.8491 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0924 loss: 1.0924 2022/08/03 12:26:25 - mmengine - INFO - Epoch(train) [146][660/1879] lr: 1.0000e-04 eta: 16:26:14 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 6.8541 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/08/03 12:26:31 - mmengine - INFO - Epoch(train) [146][680/1879] lr: 1.0000e-04 eta: 16:26:08 time: 0.2842 data_time: 0.0210 memory: 8198 grad_norm: 6.6625 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0216 loss: 1.0216 2022/08/03 12:26:37 - mmengine - INFO - Epoch(train) [146][700/1879] lr: 1.0000e-04 eta: 16:26:03 time: 0.2872 data_time: 0.0270 memory: 8198 grad_norm: 6.7179 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9653 loss: 0.9653 2022/08/03 12:26:42 - mmengine - INFO - Epoch(train) [146][720/1879] lr: 1.0000e-04 eta: 16:25:57 time: 0.2919 data_time: 0.0233 memory: 8198 grad_norm: 6.5901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0295 loss: 1.0295 2022/08/03 12:26:48 - mmengine - INFO - Epoch(train) [146][740/1879] lr: 1.0000e-04 eta: 16:25:51 time: 0.2845 data_time: 0.0236 memory: 8198 grad_norm: 6.7530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0359 loss: 1.0359 2022/08/03 12:26:54 - mmengine - INFO - Epoch(train) [146][760/1879] lr: 1.0000e-04 eta: 16:25:46 time: 0.2899 data_time: 0.0235 memory: 8198 grad_norm: 6.8173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1716 loss: 1.1716 2022/08/03 12:27:00 - mmengine - INFO - Epoch(train) [146][780/1879] lr: 1.0000e-04 eta: 16:25:40 time: 0.2835 data_time: 0.0204 memory: 8198 grad_norm: 6.7835 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8135 loss: 0.8135 2022/08/03 12:27:05 - mmengine - INFO - Epoch(train) [146][800/1879] lr: 1.0000e-04 eta: 16:25:34 time: 0.2890 data_time: 0.0220 memory: 8198 grad_norm: 6.7289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0029 loss: 1.0029 2022/08/03 12:27:11 - mmengine - INFO - Epoch(train) [146][820/1879] lr: 1.0000e-04 eta: 16:25:29 time: 0.2837 data_time: 0.0235 memory: 8198 grad_norm: 6.7559 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9391 loss: 0.9391 2022/08/03 12:27:17 - mmengine - INFO - Epoch(train) [146][840/1879] lr: 1.0000e-04 eta: 16:25:23 time: 0.2826 data_time: 0.0197 memory: 8198 grad_norm: 6.7723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8525 loss: 0.8525 2022/08/03 12:27:23 - mmengine - INFO - Epoch(train) [146][860/1879] lr: 1.0000e-04 eta: 16:25:17 time: 0.2931 data_time: 0.0240 memory: 8198 grad_norm: 6.8798 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0584 loss: 1.0584 2022/08/03 12:27:28 - mmengine - INFO - Epoch(train) [146][880/1879] lr: 1.0000e-04 eta: 16:25:12 time: 0.2829 data_time: 0.0187 memory: 8198 grad_norm: 6.6753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/08/03 12:27:34 - mmengine - INFO - Epoch(train) [146][900/1879] lr: 1.0000e-04 eta: 16:25:06 time: 0.2873 data_time: 0.0230 memory: 8198 grad_norm: 6.7597 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0646 loss: 1.0646 2022/08/03 12:27:40 - mmengine - INFO - Epoch(train) [146][920/1879] lr: 1.0000e-04 eta: 16:25:00 time: 0.2825 data_time: 0.0200 memory: 8198 grad_norm: 6.7224 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0232 loss: 1.0232 2022/08/03 12:27:46 - mmengine - INFO - Epoch(train) [146][940/1879] lr: 1.0000e-04 eta: 16:24:55 time: 0.2904 data_time: 0.0196 memory: 8198 grad_norm: 6.8963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8522 loss: 0.8522 2022/08/03 12:27:51 - mmengine - INFO - Epoch(train) [146][960/1879] lr: 1.0000e-04 eta: 16:24:49 time: 0.2853 data_time: 0.0246 memory: 8198 grad_norm: 6.8289 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9912 loss: 0.9912 2022/08/03 12:27:57 - mmengine - INFO - Epoch(train) [146][980/1879] lr: 1.0000e-04 eta: 16:24:43 time: 0.2924 data_time: 0.0229 memory: 8198 grad_norm: 7.1032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9931 loss: 0.9931 2022/08/03 12:28:03 - mmengine - INFO - Epoch(train) [146][1000/1879] lr: 1.0000e-04 eta: 16:24:38 time: 0.2789 data_time: 0.0212 memory: 8198 grad_norm: 6.8699 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0163 loss: 1.0163 2022/08/03 12:28:09 - mmengine - INFO - Epoch(train) [146][1020/1879] lr: 1.0000e-04 eta: 16:24:32 time: 0.2843 data_time: 0.0215 memory: 8198 grad_norm: 6.9426 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0945 loss: 1.0945 2022/08/03 12:28:14 - mmengine - INFO - Epoch(train) [146][1040/1879] lr: 1.0000e-04 eta: 16:24:26 time: 0.2905 data_time: 0.0209 memory: 8198 grad_norm: 6.8066 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9321 loss: 0.9321 2022/08/03 12:28:20 - mmengine - INFO - Epoch(train) [146][1060/1879] lr: 1.0000e-04 eta: 16:24:21 time: 0.2824 data_time: 0.0244 memory: 8198 grad_norm: 6.8387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8746 loss: 0.8746 2022/08/03 12:28:26 - mmengine - INFO - Epoch(train) [146][1080/1879] lr: 1.0000e-04 eta: 16:24:15 time: 0.2850 data_time: 0.0208 memory: 8198 grad_norm: 6.7490 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9911 loss: 0.9911 2022/08/03 12:28:32 - mmengine - INFO - Epoch(train) [146][1100/1879] lr: 1.0000e-04 eta: 16:24:09 time: 0.2947 data_time: 0.0268 memory: 8198 grad_norm: 6.9679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1608 loss: 1.1608 2022/08/03 12:28:37 - mmengine - INFO - Epoch(train) [146][1120/1879] lr: 1.0000e-04 eta: 16:24:04 time: 0.2865 data_time: 0.0217 memory: 8198 grad_norm: 6.8181 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0952 loss: 1.0952 2022/08/03 12:28:43 - mmengine - INFO - Epoch(train) [146][1140/1879] lr: 1.0000e-04 eta: 16:23:58 time: 0.2837 data_time: 0.0195 memory: 8198 grad_norm: 6.8133 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0710 loss: 1.0710 2022/08/03 12:28:49 - mmengine - INFO - Epoch(train) [146][1160/1879] lr: 1.0000e-04 eta: 16:23:52 time: 0.2842 data_time: 0.0245 memory: 8198 grad_norm: 6.7845 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1735 loss: 1.1735 2022/08/03 12:28:55 - mmengine - INFO - Epoch(train) [146][1180/1879] lr: 1.0000e-04 eta: 16:23:47 time: 0.2911 data_time: 0.0223 memory: 8198 grad_norm: 6.8976 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7541 loss: 0.7541 2022/08/03 12:29:01 - mmengine - INFO - Epoch(train) [146][1200/1879] lr: 1.0000e-04 eta: 16:23:41 time: 0.2921 data_time: 0.0223 memory: 8198 grad_norm: 6.8948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9677 loss: 0.9677 2022/08/03 12:29:06 - mmengine - INFO - Epoch(train) [146][1220/1879] lr: 1.0000e-04 eta: 16:23:35 time: 0.2784 data_time: 0.0211 memory: 8198 grad_norm: 6.6051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9014 loss: 0.9014 2022/08/03 12:29:12 - mmengine - INFO - Epoch(train) [146][1240/1879] lr: 1.0000e-04 eta: 16:23:30 time: 0.2961 data_time: 0.0236 memory: 8198 grad_norm: 6.9396 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9971 loss: 0.9971 2022/08/03 12:29:18 - mmengine - INFO - Epoch(train) [146][1260/1879] lr: 1.0000e-04 eta: 16:23:24 time: 0.2810 data_time: 0.0207 memory: 8198 grad_norm: 6.6721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/08/03 12:29:23 - mmengine - INFO - Epoch(train) [146][1280/1879] lr: 1.0000e-04 eta: 16:23:18 time: 0.2878 data_time: 0.0264 memory: 8198 grad_norm: 6.7944 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2008 loss: 1.2008 2022/08/03 12:29:29 - mmengine - INFO - Epoch(train) [146][1300/1879] lr: 1.0000e-04 eta: 16:23:13 time: 0.2823 data_time: 0.0204 memory: 8198 grad_norm: 6.7221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0393 loss: 1.0393 2022/08/03 12:29:35 - mmengine - INFO - Epoch(train) [146][1320/1879] lr: 1.0000e-04 eta: 16:23:07 time: 0.2871 data_time: 0.0208 memory: 8198 grad_norm: 6.7484 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0317 loss: 1.0317 2022/08/03 12:29:41 - mmengine - INFO - Epoch(train) [146][1340/1879] lr: 1.0000e-04 eta: 16:23:02 time: 0.3056 data_time: 0.0263 memory: 8198 grad_norm: 6.7274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9124 loss: 0.9124 2022/08/03 12:29:47 - mmengine - INFO - Epoch(train) [146][1360/1879] lr: 1.0000e-04 eta: 16:22:56 time: 0.2818 data_time: 0.0224 memory: 8198 grad_norm: 6.8684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0249 loss: 1.0249 2022/08/03 12:29:53 - mmengine - INFO - Epoch(train) [146][1380/1879] lr: 1.0000e-04 eta: 16:22:50 time: 0.2971 data_time: 0.0251 memory: 8198 grad_norm: 6.8245 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0746 loss: 1.0746 2022/08/03 12:29:58 - mmengine - INFO - Epoch(train) [146][1400/1879] lr: 1.0000e-04 eta: 16:22:45 time: 0.2835 data_time: 0.0213 memory: 8198 grad_norm: 6.5852 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8677 loss: 0.8677 2022/08/03 12:30:04 - mmengine - INFO - Epoch(train) [146][1420/1879] lr: 1.0000e-04 eta: 16:22:39 time: 0.2856 data_time: 0.0253 memory: 8198 grad_norm: 6.8258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/03 12:30:10 - mmengine - INFO - Epoch(train) [146][1440/1879] lr: 1.0000e-04 eta: 16:22:33 time: 0.2855 data_time: 0.0248 memory: 8198 grad_norm: 6.9286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1001 loss: 1.1001 2022/08/03 12:30:16 - mmengine - INFO - Epoch(train) [146][1460/1879] lr: 1.0000e-04 eta: 16:22:28 time: 0.3025 data_time: 0.0234 memory: 8198 grad_norm: 6.8116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/08/03 12:30:22 - mmengine - INFO - Epoch(train) [146][1480/1879] lr: 1.0000e-04 eta: 16:22:22 time: 0.2819 data_time: 0.0211 memory: 8198 grad_norm: 6.9583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9667 loss: 0.9667 2022/08/03 12:30:27 - mmengine - INFO - Epoch(train) [146][1500/1879] lr: 1.0000e-04 eta: 16:22:17 time: 0.2851 data_time: 0.0229 memory: 8198 grad_norm: 6.8491 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0061 loss: 1.0061 2022/08/03 12:30:33 - mmengine - INFO - Epoch(train) [146][1520/1879] lr: 1.0000e-04 eta: 16:22:11 time: 0.3002 data_time: 0.0200 memory: 8198 grad_norm: 6.8299 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8866 loss: 0.8866 2022/08/03 12:30:39 - mmengine - INFO - Epoch(train) [146][1540/1879] lr: 1.0000e-04 eta: 16:22:05 time: 0.2831 data_time: 0.0216 memory: 8198 grad_norm: 6.8062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9784 loss: 0.9784 2022/08/03 12:30:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:30:45 - mmengine - INFO - Epoch(train) [146][1560/1879] lr: 1.0000e-04 eta: 16:22:00 time: 0.2878 data_time: 0.0223 memory: 8198 grad_norm: 6.8455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1483 loss: 1.1483 2022/08/03 12:30:51 - mmengine - INFO - Epoch(train) [146][1580/1879] lr: 1.0000e-04 eta: 16:21:54 time: 0.2891 data_time: 0.0194 memory: 8198 grad_norm: 7.0093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0510 loss: 1.0510 2022/08/03 12:30:56 - mmengine - INFO - Epoch(train) [146][1600/1879] lr: 1.0000e-04 eta: 16:21:49 time: 0.2921 data_time: 0.0202 memory: 8198 grad_norm: 6.7329 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/08/03 12:31:02 - mmengine - INFO - Epoch(train) [146][1620/1879] lr: 1.0000e-04 eta: 16:21:43 time: 0.2861 data_time: 0.0206 memory: 8198 grad_norm: 6.7775 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8760 loss: 0.8760 2022/08/03 12:31:08 - mmengine - INFO - Epoch(train) [146][1640/1879] lr: 1.0000e-04 eta: 16:21:37 time: 0.2835 data_time: 0.0242 memory: 8198 grad_norm: 6.6170 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9953 loss: 0.9953 2022/08/03 12:31:14 - mmengine - INFO - Epoch(train) [146][1660/1879] lr: 1.0000e-04 eta: 16:21:31 time: 0.2853 data_time: 0.0256 memory: 8198 grad_norm: 6.8835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9600 loss: 0.9600 2022/08/03 12:31:19 - mmengine - INFO - Epoch(train) [146][1680/1879] lr: 1.0000e-04 eta: 16:21:26 time: 0.2824 data_time: 0.0184 memory: 8198 grad_norm: 6.9717 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/08/03 12:31:25 - mmengine - INFO - Epoch(train) [146][1700/1879] lr: 1.0000e-04 eta: 16:21:20 time: 0.2892 data_time: 0.0242 memory: 8198 grad_norm: 6.5037 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9768 loss: 0.9768 2022/08/03 12:31:31 - mmengine - INFO - Epoch(train) [146][1720/1879] lr: 1.0000e-04 eta: 16:21:14 time: 0.2885 data_time: 0.0257 memory: 8198 grad_norm: 6.8444 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0878 loss: 1.0878 2022/08/03 12:31:37 - mmengine - INFO - Epoch(train) [146][1740/1879] lr: 1.0000e-04 eta: 16:21:09 time: 0.2830 data_time: 0.0239 memory: 8198 grad_norm: 6.6945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8614 loss: 0.8614 2022/08/03 12:31:42 - mmengine - INFO - Epoch(train) [146][1760/1879] lr: 1.0000e-04 eta: 16:21:03 time: 0.2827 data_time: 0.0218 memory: 8198 grad_norm: 6.8363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/08/03 12:31:48 - mmengine - INFO - Epoch(train) [146][1780/1879] lr: 1.0000e-04 eta: 16:20:57 time: 0.2871 data_time: 0.0224 memory: 8198 grad_norm: 7.1300 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0396 loss: 1.0396 2022/08/03 12:31:54 - mmengine - INFO - Epoch(train) [146][1800/1879] lr: 1.0000e-04 eta: 16:20:52 time: 0.2860 data_time: 0.0237 memory: 8198 grad_norm: 6.8611 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0137 loss: 1.0137 2022/08/03 12:31:59 - mmengine - INFO - Epoch(train) [146][1820/1879] lr: 1.0000e-04 eta: 16:20:46 time: 0.2837 data_time: 0.0213 memory: 8198 grad_norm: 6.7844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0059 loss: 1.0059 2022/08/03 12:32:05 - mmengine - INFO - Epoch(train) [146][1840/1879] lr: 1.0000e-04 eta: 16:20:40 time: 0.2925 data_time: 0.0242 memory: 8198 grad_norm: 6.8422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1671 loss: 1.1671 2022/08/03 12:32:11 - mmengine - INFO - Epoch(train) [146][1860/1879] lr: 1.0000e-04 eta: 16:20:35 time: 0.2859 data_time: 0.0239 memory: 8198 grad_norm: 6.9769 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/03 12:32:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:32:16 - mmengine - INFO - Epoch(train) [146][1879/1879] lr: 1.0000e-04 eta: 16:20:35 time: 0.2586 data_time: 0.0159 memory: 8198 grad_norm: 6.8040 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 0.9281 loss: 0.9281 2022/08/03 12:32:24 - mmengine - INFO - Epoch(train) [147][20/1879] lr: 1.0000e-04 eta: 16:20:21 time: 0.4049 data_time: 0.1287 memory: 8198 grad_norm: 6.5917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8564 loss: 0.8564 2022/08/03 12:32:30 - mmengine - INFO - Epoch(train) [147][40/1879] lr: 1.0000e-04 eta: 16:20:16 time: 0.2910 data_time: 0.0164 memory: 8198 grad_norm: 6.7055 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0583 loss: 1.0583 2022/08/03 12:32:36 - mmengine - INFO - Epoch(train) [147][60/1879] lr: 1.0000e-04 eta: 16:20:10 time: 0.2887 data_time: 0.0227 memory: 8198 grad_norm: 6.7343 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/08/03 12:32:42 - mmengine - INFO - Epoch(train) [147][80/1879] lr: 1.0000e-04 eta: 16:20:05 time: 0.2925 data_time: 0.0212 memory: 8198 grad_norm: 6.9006 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/08/03 12:32:47 - mmengine - INFO - Epoch(train) [147][100/1879] lr: 1.0000e-04 eta: 16:19:59 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 6.5976 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/08/03 12:32:53 - mmengine - INFO - Epoch(train) [147][120/1879] lr: 1.0000e-04 eta: 16:19:53 time: 0.2861 data_time: 0.0226 memory: 8198 grad_norm: 6.9852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/08/03 12:32:59 - mmengine - INFO - Epoch(train) [147][140/1879] lr: 1.0000e-04 eta: 16:19:48 time: 0.2836 data_time: 0.0233 memory: 8198 grad_norm: 6.7366 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0333 loss: 1.0333 2022/08/03 12:33:05 - mmengine - INFO - Epoch(train) [147][160/1879] lr: 1.0000e-04 eta: 16:19:42 time: 0.2980 data_time: 0.0209 memory: 8198 grad_norm: 6.7435 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9083 loss: 0.9083 2022/08/03 12:33:11 - mmengine - INFO - Epoch(train) [147][180/1879] lr: 1.0000e-04 eta: 16:19:36 time: 0.2858 data_time: 0.0229 memory: 8198 grad_norm: 7.0440 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0322 loss: 1.0322 2022/08/03 12:33:16 - mmengine - INFO - Epoch(train) [147][200/1879] lr: 1.0000e-04 eta: 16:19:31 time: 0.2835 data_time: 0.0226 memory: 8198 grad_norm: 6.8329 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9355 loss: 0.9355 2022/08/03 12:33:22 - mmengine - INFO - Epoch(train) [147][220/1879] lr: 1.0000e-04 eta: 16:19:25 time: 0.2879 data_time: 0.0246 memory: 8198 grad_norm: 6.9213 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9405 loss: 0.9405 2022/08/03 12:33:28 - mmengine - INFO - Epoch(train) [147][240/1879] lr: 1.0000e-04 eta: 16:19:19 time: 0.2864 data_time: 0.0252 memory: 8198 grad_norm: 6.7651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8906 loss: 0.8906 2022/08/03 12:33:34 - mmengine - INFO - Epoch(train) [147][260/1879] lr: 1.0000e-04 eta: 16:19:14 time: 0.2889 data_time: 0.0230 memory: 8198 grad_norm: 6.6175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8548 loss: 0.8548 2022/08/03 12:33:39 - mmengine - INFO - Epoch(train) [147][280/1879] lr: 1.0000e-04 eta: 16:19:08 time: 0.2849 data_time: 0.0236 memory: 8198 grad_norm: 6.7709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9461 loss: 0.9461 2022/08/03 12:33:45 - mmengine - INFO - Epoch(train) [147][300/1879] lr: 1.0000e-04 eta: 16:19:02 time: 0.2869 data_time: 0.0216 memory: 8198 grad_norm: 6.7343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9388 loss: 0.9388 2022/08/03 12:33:51 - mmengine - INFO - Epoch(train) [147][320/1879] lr: 1.0000e-04 eta: 16:18:57 time: 0.2877 data_time: 0.0226 memory: 8198 grad_norm: 6.8452 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9260 loss: 0.9260 2022/08/03 12:33:57 - mmengine - INFO - Epoch(train) [147][340/1879] lr: 1.0000e-04 eta: 16:18:51 time: 0.2879 data_time: 0.0250 memory: 8198 grad_norm: 6.8225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1434 loss: 1.1434 2022/08/03 12:34:02 - mmengine - INFO - Epoch(train) [147][360/1879] lr: 1.0000e-04 eta: 16:18:45 time: 0.2876 data_time: 0.0300 memory: 8198 grad_norm: 6.9798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1950 loss: 1.1950 2022/08/03 12:34:08 - mmengine - INFO - Epoch(train) [147][380/1879] lr: 1.0000e-04 eta: 16:18:40 time: 0.2821 data_time: 0.0228 memory: 8198 grad_norm: 6.7860 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1393 loss: 1.1393 2022/08/03 12:34:14 - mmengine - INFO - Epoch(train) [147][400/1879] lr: 1.0000e-04 eta: 16:18:34 time: 0.2906 data_time: 0.0250 memory: 8198 grad_norm: 6.7902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9866 loss: 0.9866 2022/08/03 12:34:20 - mmengine - INFO - Epoch(train) [147][420/1879] lr: 1.0000e-04 eta: 16:18:28 time: 0.2835 data_time: 0.0233 memory: 8198 grad_norm: 6.7112 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9943 loss: 0.9943 2022/08/03 12:34:25 - mmengine - INFO - Epoch(train) [147][440/1879] lr: 1.0000e-04 eta: 16:18:23 time: 0.2841 data_time: 0.0198 memory: 8198 grad_norm: 6.8765 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/03 12:34:31 - mmengine - INFO - Epoch(train) [147][460/1879] lr: 1.0000e-04 eta: 16:18:17 time: 0.2873 data_time: 0.0235 memory: 8198 grad_norm: 6.6447 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1469 loss: 1.1469 2022/08/03 12:34:37 - mmengine - INFO - Epoch(train) [147][480/1879] lr: 1.0000e-04 eta: 16:18:11 time: 0.2812 data_time: 0.0182 memory: 8198 grad_norm: 6.7050 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0706 loss: 1.0706 2022/08/03 12:34:42 - mmengine - INFO - Epoch(train) [147][500/1879] lr: 1.0000e-04 eta: 16:18:06 time: 0.2861 data_time: 0.0240 memory: 8198 grad_norm: 6.4223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9684 loss: 0.9684 2022/08/03 12:34:48 - mmengine - INFO - Epoch(train) [147][520/1879] lr: 1.0000e-04 eta: 16:18:00 time: 0.2874 data_time: 0.0237 memory: 8198 grad_norm: 6.7315 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/03 12:34:54 - mmengine - INFO - Epoch(train) [147][540/1879] lr: 1.0000e-04 eta: 16:17:54 time: 0.2887 data_time: 0.0248 memory: 8198 grad_norm: 6.6385 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8707 loss: 0.8707 2022/08/03 12:35:02 - mmengine - INFO - Epoch(train) [147][560/1879] lr: 1.0000e-04 eta: 16:17:50 time: 0.3726 data_time: 0.0216 memory: 8198 grad_norm: 6.8919 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9128 loss: 0.9128 2022/08/03 12:35:08 - mmengine - INFO - Epoch(train) [147][580/1879] lr: 1.0000e-04 eta: 16:17:45 time: 0.2990 data_time: 0.0403 memory: 8198 grad_norm: 6.7683 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0130 loss: 1.0130 2022/08/03 12:35:13 - mmengine - INFO - Epoch(train) [147][600/1879] lr: 1.0000e-04 eta: 16:17:39 time: 0.2856 data_time: 0.0202 memory: 8198 grad_norm: 6.7604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0499 loss: 1.0499 2022/08/03 12:35:19 - mmengine - INFO - Epoch(train) [147][620/1879] lr: 1.0000e-04 eta: 16:17:33 time: 0.2861 data_time: 0.0260 memory: 8198 grad_norm: 6.8157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/08/03 12:35:25 - mmengine - INFO - Epoch(train) [147][640/1879] lr: 1.0000e-04 eta: 16:17:27 time: 0.2865 data_time: 0.0231 memory: 8198 grad_norm: 6.9483 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1692 loss: 1.1692 2022/08/03 12:35:30 - mmengine - INFO - Epoch(train) [147][660/1879] lr: 1.0000e-04 eta: 16:17:22 time: 0.2823 data_time: 0.0220 memory: 8198 grad_norm: 6.8834 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0022 loss: 1.0022 2022/08/03 12:35:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:35:36 - mmengine - INFO - Epoch(train) [147][680/1879] lr: 1.0000e-04 eta: 16:17:16 time: 0.2916 data_time: 0.0180 memory: 8198 grad_norm: 6.9674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0640 loss: 1.0640 2022/08/03 12:35:42 - mmengine - INFO - Epoch(train) [147][700/1879] lr: 1.0000e-04 eta: 16:17:11 time: 0.2869 data_time: 0.0257 memory: 8198 grad_norm: 6.8078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/03 12:35:48 - mmengine - INFO - Epoch(train) [147][720/1879] lr: 1.0000e-04 eta: 16:17:05 time: 0.2831 data_time: 0.0180 memory: 8198 grad_norm: 6.9367 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0627 loss: 1.0627 2022/08/03 12:35:53 - mmengine - INFO - Epoch(train) [147][740/1879] lr: 1.0000e-04 eta: 16:16:59 time: 0.2863 data_time: 0.0225 memory: 8198 grad_norm: 6.8465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9951 loss: 0.9951 2022/08/03 12:35:59 - mmengine - INFO - Epoch(train) [147][760/1879] lr: 1.0000e-04 eta: 16:16:53 time: 0.2835 data_time: 0.0220 memory: 8198 grad_norm: 6.8129 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8826 loss: 0.8826 2022/08/03 12:36:05 - mmengine - INFO - Epoch(train) [147][780/1879] lr: 1.0000e-04 eta: 16:16:48 time: 0.2875 data_time: 0.0264 memory: 8198 grad_norm: 6.9208 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8737 loss: 0.8737 2022/08/03 12:36:11 - mmengine - INFO - Epoch(train) [147][800/1879] lr: 1.0000e-04 eta: 16:16:42 time: 0.2863 data_time: 0.0246 memory: 8198 grad_norm: 6.7359 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1024 loss: 1.1024 2022/08/03 12:36:16 - mmengine - INFO - Epoch(train) [147][820/1879] lr: 1.0000e-04 eta: 16:16:36 time: 0.2858 data_time: 0.0217 memory: 8198 grad_norm: 6.5962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9920 loss: 0.9920 2022/08/03 12:36:22 - mmengine - INFO - Epoch(train) [147][840/1879] lr: 1.0000e-04 eta: 16:16:31 time: 0.2859 data_time: 0.0197 memory: 8198 grad_norm: 6.8344 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9426 loss: 0.9426 2022/08/03 12:36:28 - mmengine - INFO - Epoch(train) [147][860/1879] lr: 1.0000e-04 eta: 16:16:25 time: 0.2856 data_time: 0.0232 memory: 8198 grad_norm: 6.9397 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2150 loss: 1.2150 2022/08/03 12:36:34 - mmengine - INFO - Epoch(train) [147][880/1879] lr: 1.0000e-04 eta: 16:16:19 time: 0.2880 data_time: 0.0182 memory: 8198 grad_norm: 6.9053 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0452 loss: 1.0452 2022/08/03 12:36:39 - mmengine - INFO - Epoch(train) [147][900/1879] lr: 1.0000e-04 eta: 16:16:14 time: 0.2848 data_time: 0.0222 memory: 8198 grad_norm: 6.9384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/08/03 12:36:45 - mmengine - INFO - Epoch(train) [147][920/1879] lr: 1.0000e-04 eta: 16:16:08 time: 0.3013 data_time: 0.0214 memory: 8198 grad_norm: 6.7310 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0737 loss: 1.0737 2022/08/03 12:36:51 - mmengine - INFO - Epoch(train) [147][940/1879] lr: 1.0000e-04 eta: 16:16:03 time: 0.2845 data_time: 0.0194 memory: 8198 grad_norm: 6.7188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0224 loss: 1.0224 2022/08/03 12:36:57 - mmengine - INFO - Epoch(train) [147][960/1879] lr: 1.0000e-04 eta: 16:15:57 time: 0.2869 data_time: 0.0268 memory: 8198 grad_norm: 6.8079 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1656 loss: 1.1656 2022/08/03 12:37:03 - mmengine - INFO - Epoch(train) [147][980/1879] lr: 1.0000e-04 eta: 16:15:51 time: 0.2883 data_time: 0.0217 memory: 8198 grad_norm: 6.6938 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1524 loss: 1.1524 2022/08/03 12:37:08 - mmengine - INFO - Epoch(train) [147][1000/1879] lr: 1.0000e-04 eta: 16:15:46 time: 0.2847 data_time: 0.0222 memory: 8198 grad_norm: 6.7560 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/03 12:37:14 - mmengine - INFO - Epoch(train) [147][1020/1879] lr: 1.0000e-04 eta: 16:15:40 time: 0.2849 data_time: 0.0226 memory: 8198 grad_norm: 6.8766 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1595 loss: 1.1595 2022/08/03 12:37:20 - mmengine - INFO - Epoch(train) [147][1040/1879] lr: 1.0000e-04 eta: 16:15:34 time: 0.2811 data_time: 0.0194 memory: 8198 grad_norm: 6.8530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2224 loss: 1.2224 2022/08/03 12:37:26 - mmengine - INFO - Epoch(train) [147][1060/1879] lr: 1.0000e-04 eta: 16:15:29 time: 0.2929 data_time: 0.0336 memory: 8198 grad_norm: 6.8521 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9971 loss: 0.9971 2022/08/03 12:37:31 - mmengine - INFO - Epoch(train) [147][1080/1879] lr: 1.0000e-04 eta: 16:15:23 time: 0.2840 data_time: 0.0184 memory: 8198 grad_norm: 7.0499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0759 loss: 1.0759 2022/08/03 12:37:37 - mmengine - INFO - Epoch(train) [147][1100/1879] lr: 1.0000e-04 eta: 16:15:17 time: 0.2839 data_time: 0.0230 memory: 8198 grad_norm: 6.7180 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0336 loss: 1.0336 2022/08/03 12:37:43 - mmengine - INFO - Epoch(train) [147][1120/1879] lr: 1.0000e-04 eta: 16:15:11 time: 0.2822 data_time: 0.0268 memory: 8198 grad_norm: 6.8780 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9750 loss: 0.9750 2022/08/03 12:37:48 - mmengine - INFO - Epoch(train) [147][1140/1879] lr: 1.0000e-04 eta: 16:15:06 time: 0.2838 data_time: 0.0202 memory: 8198 grad_norm: 7.1066 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/08/03 12:37:54 - mmengine - INFO - Epoch(train) [147][1160/1879] lr: 1.0000e-04 eta: 16:15:00 time: 0.2834 data_time: 0.0233 memory: 8198 grad_norm: 6.6393 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/08/03 12:38:00 - mmengine - INFO - Epoch(train) [147][1180/1879] lr: 1.0000e-04 eta: 16:14:54 time: 0.2883 data_time: 0.0296 memory: 8198 grad_norm: 6.8458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/08/03 12:38:06 - mmengine - INFO - Epoch(train) [147][1200/1879] lr: 1.0000e-04 eta: 16:14:49 time: 0.2861 data_time: 0.0208 memory: 8198 grad_norm: 6.7891 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0166 loss: 1.0166 2022/08/03 12:38:11 - mmengine - INFO - Epoch(train) [147][1220/1879] lr: 1.0000e-04 eta: 16:14:43 time: 0.2861 data_time: 0.0255 memory: 8198 grad_norm: 6.9437 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/03 12:38:17 - mmengine - INFO - Epoch(train) [147][1240/1879] lr: 1.0000e-04 eta: 16:14:37 time: 0.2837 data_time: 0.0245 memory: 8198 grad_norm: 6.8030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9872 loss: 0.9872 2022/08/03 12:38:23 - mmengine - INFO - Epoch(train) [147][1260/1879] lr: 1.0000e-04 eta: 16:14:32 time: 0.2871 data_time: 0.0196 memory: 8198 grad_norm: 6.7480 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0560 loss: 1.0560 2022/08/03 12:38:29 - mmengine - INFO - Epoch(train) [147][1280/1879] lr: 1.0000e-04 eta: 16:14:26 time: 0.2861 data_time: 0.0233 memory: 8198 grad_norm: 6.6033 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8932 loss: 0.8932 2022/08/03 12:38:34 - mmengine - INFO - Epoch(train) [147][1300/1879] lr: 1.0000e-04 eta: 16:14:20 time: 0.2864 data_time: 0.0230 memory: 8198 grad_norm: 6.9093 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9887 loss: 0.9887 2022/08/03 12:38:40 - mmengine - INFO - Epoch(train) [147][1320/1879] lr: 1.0000e-04 eta: 16:14:15 time: 0.2807 data_time: 0.0205 memory: 8198 grad_norm: 6.9196 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1708 loss: 1.1708 2022/08/03 12:38:46 - mmengine - INFO - Epoch(train) [147][1340/1879] lr: 1.0000e-04 eta: 16:14:09 time: 0.2947 data_time: 0.0264 memory: 8198 grad_norm: 6.7712 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0636 loss: 1.0636 2022/08/03 12:38:52 - mmengine - INFO - Epoch(train) [147][1360/1879] lr: 1.0000e-04 eta: 16:14:04 time: 0.3013 data_time: 0.0258 memory: 8198 grad_norm: 6.8059 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9694 loss: 0.9694 2022/08/03 12:38:58 - mmengine - INFO - Epoch(train) [147][1380/1879] lr: 1.0000e-04 eta: 16:13:58 time: 0.2803 data_time: 0.0223 memory: 8198 grad_norm: 7.0268 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9795 loss: 0.9795 2022/08/03 12:39:03 - mmengine - INFO - Epoch(train) [147][1400/1879] lr: 1.0000e-04 eta: 16:13:52 time: 0.2913 data_time: 0.0219 memory: 8198 grad_norm: 6.6430 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9548 loss: 0.9548 2022/08/03 12:39:09 - mmengine - INFO - Epoch(train) [147][1420/1879] lr: 1.0000e-04 eta: 16:13:47 time: 0.2864 data_time: 0.0236 memory: 8198 grad_norm: 6.7259 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9544 loss: 0.9544 2022/08/03 12:39:15 - mmengine - INFO - Epoch(train) [147][1440/1879] lr: 1.0000e-04 eta: 16:13:41 time: 0.2856 data_time: 0.0242 memory: 8198 grad_norm: 6.9041 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1226 loss: 1.1226 2022/08/03 12:39:21 - mmengine - INFO - Epoch(train) [147][1460/1879] lr: 1.0000e-04 eta: 16:13:35 time: 0.2838 data_time: 0.0240 memory: 8198 grad_norm: 6.8209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7675 loss: 0.7675 2022/08/03 12:39:26 - mmengine - INFO - Epoch(train) [147][1480/1879] lr: 1.0000e-04 eta: 16:13:30 time: 0.2915 data_time: 0.0220 memory: 8198 grad_norm: 6.8874 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8719 loss: 0.8719 2022/08/03 12:39:32 - mmengine - INFO - Epoch(train) [147][1500/1879] lr: 1.0000e-04 eta: 16:13:24 time: 0.2859 data_time: 0.0247 memory: 8198 grad_norm: 6.7350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0327 loss: 1.0327 2022/08/03 12:39:38 - mmengine - INFO - Epoch(train) [147][1520/1879] lr: 1.0000e-04 eta: 16:13:18 time: 0.2859 data_time: 0.0178 memory: 8198 grad_norm: 7.0518 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/08/03 12:39:44 - mmengine - INFO - Epoch(train) [147][1540/1879] lr: 1.0000e-04 eta: 16:13:13 time: 0.2958 data_time: 0.0227 memory: 8198 grad_norm: 6.8184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9426 loss: 0.9426 2022/08/03 12:39:49 - mmengine - INFO - Epoch(train) [147][1560/1879] lr: 1.0000e-04 eta: 16:13:07 time: 0.2828 data_time: 0.0210 memory: 8198 grad_norm: 6.5850 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/03 12:39:55 - mmengine - INFO - Epoch(train) [147][1580/1879] lr: 1.0000e-04 eta: 16:13:01 time: 0.2849 data_time: 0.0184 memory: 8198 grad_norm: 6.7928 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0552 loss: 1.0552 2022/08/03 12:40:01 - mmengine - INFO - Epoch(train) [147][1600/1879] lr: 1.0000e-04 eta: 16:12:56 time: 0.2854 data_time: 0.0217 memory: 8198 grad_norm: 6.7425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0403 loss: 1.0403 2022/08/03 12:40:07 - mmengine - INFO - Epoch(train) [147][1620/1879] lr: 1.0000e-04 eta: 16:12:50 time: 0.2983 data_time: 0.0247 memory: 8198 grad_norm: 6.9018 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0296 loss: 1.0296 2022/08/03 12:40:13 - mmengine - INFO - Epoch(train) [147][1640/1879] lr: 1.0000e-04 eta: 16:12:44 time: 0.2834 data_time: 0.0185 memory: 8198 grad_norm: 6.9798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1193 loss: 1.1193 2022/08/03 12:40:18 - mmengine - INFO - Epoch(train) [147][1660/1879] lr: 1.0000e-04 eta: 16:12:39 time: 0.2907 data_time: 0.0329 memory: 8198 grad_norm: 6.7733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8668 loss: 0.8668 2022/08/03 12:40:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:40:24 - mmengine - INFO - Epoch(train) [147][1680/1879] lr: 1.0000e-04 eta: 16:12:33 time: 0.2872 data_time: 0.0210 memory: 8198 grad_norm: 6.8910 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8539 loss: 0.8539 2022/08/03 12:40:30 - mmengine - INFO - Epoch(train) [147][1700/1879] lr: 1.0000e-04 eta: 16:12:28 time: 0.2843 data_time: 0.0235 memory: 8198 grad_norm: 6.6076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8200 loss: 0.8200 2022/08/03 12:40:36 - mmengine - INFO - Epoch(train) [147][1720/1879] lr: 1.0000e-04 eta: 16:12:22 time: 0.2817 data_time: 0.0236 memory: 8198 grad_norm: 6.8845 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0688 loss: 1.0688 2022/08/03 12:40:41 - mmengine - INFO - Epoch(train) [147][1740/1879] lr: 1.0000e-04 eta: 16:12:16 time: 0.2861 data_time: 0.0236 memory: 8198 grad_norm: 6.6464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/08/03 12:40:47 - mmengine - INFO - Epoch(train) [147][1760/1879] lr: 1.0000e-04 eta: 16:12:10 time: 0.2860 data_time: 0.0227 memory: 8198 grad_norm: 6.8742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0255 loss: 1.0255 2022/08/03 12:40:53 - mmengine - INFO - Epoch(train) [147][1780/1879] lr: 1.0000e-04 eta: 16:12:05 time: 0.2871 data_time: 0.0230 memory: 8198 grad_norm: 7.0428 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8997 loss: 0.8997 2022/08/03 12:40:59 - mmengine - INFO - Epoch(train) [147][1800/1879] lr: 1.0000e-04 eta: 16:11:59 time: 0.2833 data_time: 0.0207 memory: 8198 grad_norm: 6.5680 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9349 loss: 0.9349 2022/08/03 12:41:04 - mmengine - INFO - Epoch(train) [147][1820/1879] lr: 1.0000e-04 eta: 16:11:54 time: 0.2948 data_time: 0.0200 memory: 8198 grad_norm: 6.6728 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/03 12:41:10 - mmengine - INFO - Epoch(train) [147][1840/1879] lr: 1.0000e-04 eta: 16:11:48 time: 0.2936 data_time: 0.0339 memory: 8198 grad_norm: 6.9793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/08/03 12:41:16 - mmengine - INFO - Epoch(train) [147][1860/1879] lr: 1.0000e-04 eta: 16:11:42 time: 0.2843 data_time: 0.0220 memory: 8198 grad_norm: 6.6547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9040 loss: 0.9040 2022/08/03 12:41:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:41:21 - mmengine - INFO - Epoch(train) [147][1879/1879] lr: 1.0000e-04 eta: 16:11:42 time: 0.2581 data_time: 0.0117 memory: 8198 grad_norm: 6.8821 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0671 loss: 1.0671 2022/08/03 12:41:29 - mmengine - INFO - Epoch(train) [148][20/1879] lr: 1.0000e-04 eta: 16:11:29 time: 0.4025 data_time: 0.1121 memory: 8198 grad_norm: 6.8384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/03 12:41:35 - mmengine - INFO - Epoch(train) [148][40/1879] lr: 1.0000e-04 eta: 16:11:23 time: 0.2909 data_time: 0.0252 memory: 8198 grad_norm: 6.9642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1389 loss: 1.1389 2022/08/03 12:41:41 - mmengine - INFO - Epoch(train) [148][60/1879] lr: 1.0000e-04 eta: 16:11:18 time: 0.3143 data_time: 0.0464 memory: 8198 grad_norm: 6.9718 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1842 loss: 1.1842 2022/08/03 12:41:47 - mmengine - INFO - Epoch(train) [148][80/1879] lr: 1.0000e-04 eta: 16:11:12 time: 0.2822 data_time: 0.0208 memory: 8198 grad_norm: 6.8629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9477 loss: 0.9477 2022/08/03 12:41:53 - mmengine - INFO - Epoch(train) [148][100/1879] lr: 1.0000e-04 eta: 16:11:07 time: 0.3100 data_time: 0.0287 memory: 8198 grad_norm: 6.8781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9916 loss: 0.9916 2022/08/03 12:41:59 - mmengine - INFO - Epoch(train) [148][120/1879] lr: 1.0000e-04 eta: 16:11:01 time: 0.2802 data_time: 0.0186 memory: 8198 grad_norm: 6.6692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0910 loss: 1.0910 2022/08/03 12:42:05 - mmengine - INFO - Epoch(train) [148][140/1879] lr: 1.0000e-04 eta: 16:10:56 time: 0.2818 data_time: 0.0266 memory: 8198 grad_norm: 6.8621 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8838 loss: 0.8838 2022/08/03 12:42:10 - mmengine - INFO - Epoch(train) [148][160/1879] lr: 1.0000e-04 eta: 16:10:50 time: 0.2925 data_time: 0.0314 memory: 8198 grad_norm: 6.7791 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0076 loss: 1.0076 2022/08/03 12:42:16 - mmengine - INFO - Epoch(train) [148][180/1879] lr: 1.0000e-04 eta: 16:10:44 time: 0.2870 data_time: 0.0223 memory: 8198 grad_norm: 6.6467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9488 loss: 0.9488 2022/08/03 12:42:22 - mmengine - INFO - Epoch(train) [148][200/1879] lr: 1.0000e-04 eta: 16:10:39 time: 0.2833 data_time: 0.0200 memory: 8198 grad_norm: 6.6692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1152 loss: 1.1152 2022/08/03 12:42:27 - mmengine - INFO - Epoch(train) [148][220/1879] lr: 1.0000e-04 eta: 16:10:33 time: 0.2859 data_time: 0.0223 memory: 8198 grad_norm: 7.0805 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0700 loss: 1.0700 2022/08/03 12:42:33 - mmengine - INFO - Epoch(train) [148][240/1879] lr: 1.0000e-04 eta: 16:10:27 time: 0.2889 data_time: 0.0213 memory: 8198 grad_norm: 7.0268 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0377 loss: 1.0377 2022/08/03 12:42:39 - mmengine - INFO - Epoch(train) [148][260/1879] lr: 1.0000e-04 eta: 16:10:22 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 6.8391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/08/03 12:42:45 - mmengine - INFO - Epoch(train) [148][280/1879] lr: 1.0000e-04 eta: 16:10:16 time: 0.2915 data_time: 0.0312 memory: 8198 grad_norm: 6.8018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0262 loss: 1.0262 2022/08/03 12:42:51 - mmengine - INFO - Epoch(train) [148][300/1879] lr: 1.0000e-04 eta: 16:10:10 time: 0.2848 data_time: 0.0208 memory: 8198 grad_norm: 6.9315 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1555 loss: 1.1555 2022/08/03 12:42:56 - mmengine - INFO - Epoch(train) [148][320/1879] lr: 1.0000e-04 eta: 16:10:05 time: 0.2866 data_time: 0.0208 memory: 8198 grad_norm: 6.7240 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/03 12:43:02 - mmengine - INFO - Epoch(train) [148][340/1879] lr: 1.0000e-04 eta: 16:09:59 time: 0.2850 data_time: 0.0277 memory: 8198 grad_norm: 6.5081 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9944 loss: 0.9944 2022/08/03 12:43:08 - mmengine - INFO - Epoch(train) [148][360/1879] lr: 1.0000e-04 eta: 16:09:53 time: 0.2838 data_time: 0.0210 memory: 8198 grad_norm: 6.7988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8844 loss: 0.8844 2022/08/03 12:43:14 - mmengine - INFO - Epoch(train) [148][380/1879] lr: 1.0000e-04 eta: 16:09:48 time: 0.2871 data_time: 0.0200 memory: 8198 grad_norm: 6.8918 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9775 loss: 0.9775 2022/08/03 12:43:19 - mmengine - INFO - Epoch(train) [148][400/1879] lr: 1.0000e-04 eta: 16:09:42 time: 0.2879 data_time: 0.0225 memory: 8198 grad_norm: 6.8299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/08/03 12:43:25 - mmengine - INFO - Epoch(train) [148][420/1879] lr: 1.0000e-04 eta: 16:09:36 time: 0.2832 data_time: 0.0198 memory: 8198 grad_norm: 6.8905 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0479 loss: 1.0479 2022/08/03 12:43:31 - mmengine - INFO - Epoch(train) [148][440/1879] lr: 1.0000e-04 eta: 16:09:31 time: 0.2873 data_time: 0.0197 memory: 8198 grad_norm: 6.8959 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/03 12:43:37 - mmengine - INFO - Epoch(train) [148][460/1879] lr: 1.0000e-04 eta: 16:09:25 time: 0.2996 data_time: 0.0236 memory: 8198 grad_norm: 6.7357 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8833 loss: 0.8833 2022/08/03 12:43:42 - mmengine - INFO - Epoch(train) [148][480/1879] lr: 1.0000e-04 eta: 16:09:19 time: 0.2816 data_time: 0.0246 memory: 8198 grad_norm: 6.6426 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0132 loss: 1.0132 2022/08/03 12:43:48 - mmengine - INFO - Epoch(train) [148][500/1879] lr: 1.0000e-04 eta: 16:09:14 time: 0.2849 data_time: 0.0216 memory: 8198 grad_norm: 6.7236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0259 loss: 1.0259 2022/08/03 12:43:54 - mmengine - INFO - Epoch(train) [148][520/1879] lr: 1.0000e-04 eta: 16:09:08 time: 0.2842 data_time: 0.0257 memory: 8198 grad_norm: 6.8568 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8619 loss: 0.8619 2022/08/03 12:44:00 - mmengine - INFO - Epoch(train) [148][540/1879] lr: 1.0000e-04 eta: 16:09:02 time: 0.2850 data_time: 0.0209 memory: 8198 grad_norm: 6.8811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0965 loss: 1.0965 2022/08/03 12:44:05 - mmengine - INFO - Epoch(train) [148][560/1879] lr: 1.0000e-04 eta: 16:08:57 time: 0.2880 data_time: 0.0220 memory: 8198 grad_norm: 6.7904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0674 loss: 1.0674 2022/08/03 12:44:11 - mmengine - INFO - Epoch(train) [148][580/1879] lr: 1.0000e-04 eta: 16:08:51 time: 0.2814 data_time: 0.0194 memory: 8198 grad_norm: 6.8658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0561 loss: 1.0561 2022/08/03 12:44:17 - mmengine - INFO - Epoch(train) [148][600/1879] lr: 1.0000e-04 eta: 16:08:45 time: 0.2888 data_time: 0.0210 memory: 8198 grad_norm: 6.6960 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1243 loss: 1.1243 2022/08/03 12:44:23 - mmengine - INFO - Epoch(train) [148][620/1879] lr: 1.0000e-04 eta: 16:08:40 time: 0.2936 data_time: 0.0238 memory: 8198 grad_norm: 6.7572 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/08/03 12:44:28 - mmengine - INFO - Epoch(train) [148][640/1879] lr: 1.0000e-04 eta: 16:08:34 time: 0.2847 data_time: 0.0227 memory: 8198 grad_norm: 6.6041 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8300 loss: 0.8300 2022/08/03 12:44:34 - mmengine - INFO - Epoch(train) [148][660/1879] lr: 1.0000e-04 eta: 16:08:29 time: 0.2963 data_time: 0.0222 memory: 8198 grad_norm: 6.8735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1295 loss: 1.1295 2022/08/03 12:44:40 - mmengine - INFO - Epoch(train) [148][680/1879] lr: 1.0000e-04 eta: 16:08:23 time: 0.2820 data_time: 0.0219 memory: 8198 grad_norm: 6.6161 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9328 loss: 0.9328 2022/08/03 12:44:46 - mmengine - INFO - Epoch(train) [148][700/1879] lr: 1.0000e-04 eta: 16:08:17 time: 0.2851 data_time: 0.0208 memory: 8198 grad_norm: 6.7345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9571 loss: 0.9571 2022/08/03 12:44:52 - mmengine - INFO - Epoch(train) [148][720/1879] lr: 1.0000e-04 eta: 16:08:12 time: 0.2938 data_time: 0.0332 memory: 8198 grad_norm: 6.9625 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0258 loss: 1.0258 2022/08/03 12:44:57 - mmengine - INFO - Epoch(train) [148][740/1879] lr: 1.0000e-04 eta: 16:08:06 time: 0.2877 data_time: 0.0245 memory: 8198 grad_norm: 6.8475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8081 loss: 0.8081 2022/08/03 12:45:03 - mmengine - INFO - Epoch(train) [148][760/1879] lr: 1.0000e-04 eta: 16:08:00 time: 0.2847 data_time: 0.0231 memory: 8198 grad_norm: 6.8503 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0742 loss: 1.0742 2022/08/03 12:45:09 - mmengine - INFO - Epoch(train) [148][780/1879] lr: 1.0000e-04 eta: 16:07:55 time: 0.2866 data_time: 0.0251 memory: 8198 grad_norm: 6.5484 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8677 loss: 0.8677 2022/08/03 12:45:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:45:15 - mmengine - INFO - Epoch(train) [148][800/1879] lr: 1.0000e-04 eta: 16:07:49 time: 0.2869 data_time: 0.0167 memory: 8198 grad_norm: 6.8455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/08/03 12:45:20 - mmengine - INFO - Epoch(train) [148][820/1879] lr: 1.0000e-04 eta: 16:07:43 time: 0.2892 data_time: 0.0250 memory: 8198 grad_norm: 6.5932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8781 loss: 0.8781 2022/08/03 12:45:26 - mmengine - INFO - Epoch(train) [148][840/1879] lr: 1.0000e-04 eta: 16:07:38 time: 0.2832 data_time: 0.0236 memory: 8198 grad_norm: 6.7311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/08/03 12:45:32 - mmengine - INFO - Epoch(train) [148][860/1879] lr: 1.0000e-04 eta: 16:07:32 time: 0.2982 data_time: 0.0235 memory: 8198 grad_norm: 6.7961 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9614 loss: 0.9614 2022/08/03 12:45:38 - mmengine - INFO - Epoch(train) [148][880/1879] lr: 1.0000e-04 eta: 16:07:26 time: 0.2826 data_time: 0.0205 memory: 8198 grad_norm: 6.8769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0425 loss: 1.0425 2022/08/03 12:45:44 - mmengine - INFO - Epoch(train) [148][900/1879] lr: 1.0000e-04 eta: 16:07:21 time: 0.2849 data_time: 0.0230 memory: 8198 grad_norm: 6.8156 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9667 loss: 0.9667 2022/08/03 12:45:49 - mmengine - INFO - Epoch(train) [148][920/1879] lr: 1.0000e-04 eta: 16:07:15 time: 0.2867 data_time: 0.0243 memory: 8198 grad_norm: 6.9850 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1314 loss: 1.1314 2022/08/03 12:45:55 - mmengine - INFO - Epoch(train) [148][940/1879] lr: 1.0000e-04 eta: 16:07:09 time: 0.2870 data_time: 0.0208 memory: 8198 grad_norm: 6.8583 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/08/03 12:46:01 - mmengine - INFO - Epoch(train) [148][960/1879] lr: 1.0000e-04 eta: 16:07:04 time: 0.2829 data_time: 0.0263 memory: 8198 grad_norm: 6.8113 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9895 loss: 0.9895 2022/08/03 12:46:06 - mmengine - INFO - Epoch(train) [148][980/1879] lr: 1.0000e-04 eta: 16:06:58 time: 0.2836 data_time: 0.0210 memory: 8198 grad_norm: 6.9378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/08/03 12:46:12 - mmengine - INFO - Epoch(train) [148][1000/1879] lr: 1.0000e-04 eta: 16:06:52 time: 0.2841 data_time: 0.0215 memory: 8198 grad_norm: 6.9466 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0639 loss: 1.0639 2022/08/03 12:46:18 - mmengine - INFO - Epoch(train) [148][1020/1879] lr: 1.0000e-04 eta: 16:06:46 time: 0.2827 data_time: 0.0205 memory: 8198 grad_norm: 7.0385 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/08/03 12:46:23 - mmengine - INFO - Epoch(train) [148][1040/1879] lr: 1.0000e-04 eta: 16:06:41 time: 0.2831 data_time: 0.0217 memory: 8198 grad_norm: 6.7686 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9988 loss: 0.9988 2022/08/03 12:46:29 - mmengine - INFO - Epoch(train) [148][1060/1879] lr: 1.0000e-04 eta: 16:06:35 time: 0.2855 data_time: 0.0232 memory: 8198 grad_norm: 6.8322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8399 loss: 0.8399 2022/08/03 12:46:35 - mmengine - INFO - Epoch(train) [148][1080/1879] lr: 1.0000e-04 eta: 16:06:30 time: 0.2933 data_time: 0.0210 memory: 8198 grad_norm: 6.8615 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9881 loss: 0.9881 2022/08/03 12:46:41 - mmengine - INFO - Epoch(train) [148][1100/1879] lr: 1.0000e-04 eta: 16:06:24 time: 0.2829 data_time: 0.0255 memory: 8198 grad_norm: 6.7380 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0198 loss: 1.0198 2022/08/03 12:46:46 - mmengine - INFO - Epoch(train) [148][1120/1879] lr: 1.0000e-04 eta: 16:06:18 time: 0.2830 data_time: 0.0172 memory: 8198 grad_norm: 6.8868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0377 loss: 1.0377 2022/08/03 12:46:52 - mmengine - INFO - Epoch(train) [148][1140/1879] lr: 1.0000e-04 eta: 16:06:12 time: 0.2897 data_time: 0.0196 memory: 8198 grad_norm: 6.6235 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9950 loss: 0.9950 2022/08/03 12:46:58 - mmengine - INFO - Epoch(train) [148][1160/1879] lr: 1.0000e-04 eta: 16:06:07 time: 0.2846 data_time: 0.0214 memory: 8198 grad_norm: 6.9192 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9374 loss: 0.9374 2022/08/03 12:47:04 - mmengine - INFO - Epoch(train) [148][1180/1879] lr: 1.0000e-04 eta: 16:06:01 time: 0.2836 data_time: 0.0207 memory: 8198 grad_norm: 7.0174 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1572 loss: 1.1572 2022/08/03 12:47:09 - mmengine - INFO - Epoch(train) [148][1200/1879] lr: 1.0000e-04 eta: 16:05:55 time: 0.2860 data_time: 0.0229 memory: 8198 grad_norm: 6.5910 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/08/03 12:47:15 - mmengine - INFO - Epoch(train) [148][1220/1879] lr: 1.0000e-04 eta: 16:05:50 time: 0.2869 data_time: 0.0200 memory: 8198 grad_norm: 6.7174 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9331 loss: 0.9331 2022/08/03 12:47:21 - mmengine - INFO - Epoch(train) [148][1240/1879] lr: 1.0000e-04 eta: 16:05:44 time: 0.2838 data_time: 0.0284 memory: 8198 grad_norm: 6.7543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9534 loss: 0.9534 2022/08/03 12:47:27 - mmengine - INFO - Epoch(train) [148][1260/1879] lr: 1.0000e-04 eta: 16:05:38 time: 0.2847 data_time: 0.0216 memory: 8198 grad_norm: 6.7401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/08/03 12:47:32 - mmengine - INFO - Epoch(train) [148][1280/1879] lr: 1.0000e-04 eta: 16:05:33 time: 0.2884 data_time: 0.0247 memory: 8198 grad_norm: 6.9731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/08/03 12:47:38 - mmengine - INFO - Epoch(train) [148][1300/1879] lr: 1.0000e-04 eta: 16:05:27 time: 0.2840 data_time: 0.0206 memory: 8198 grad_norm: 6.9072 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0703 loss: 1.0703 2022/08/03 12:47:44 - mmengine - INFO - Epoch(train) [148][1320/1879] lr: 1.0000e-04 eta: 16:05:21 time: 0.2889 data_time: 0.0216 memory: 8198 grad_norm: 6.6927 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/08/03 12:47:50 - mmengine - INFO - Epoch(train) [148][1340/1879] lr: 1.0000e-04 eta: 16:05:16 time: 0.2831 data_time: 0.0251 memory: 8198 grad_norm: 6.8054 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0800 loss: 1.0800 2022/08/03 12:47:55 - mmengine - INFO - Epoch(train) [148][1360/1879] lr: 1.0000e-04 eta: 16:05:10 time: 0.2883 data_time: 0.0254 memory: 8198 grad_norm: 6.7886 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9464 loss: 0.9464 2022/08/03 12:48:01 - mmengine - INFO - Epoch(train) [148][1380/1879] lr: 1.0000e-04 eta: 16:05:04 time: 0.2848 data_time: 0.0249 memory: 8198 grad_norm: 6.6726 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/08/03 12:48:07 - mmengine - INFO - Epoch(train) [148][1400/1879] lr: 1.0000e-04 eta: 16:04:59 time: 0.2867 data_time: 0.0184 memory: 8198 grad_norm: 7.0932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1400 loss: 1.1400 2022/08/03 12:48:13 - mmengine - INFO - Epoch(train) [148][1420/1879] lr: 1.0000e-04 eta: 16:04:53 time: 0.2977 data_time: 0.0212 memory: 8198 grad_norm: 6.9799 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9992 loss: 0.9992 2022/08/03 12:48:18 - mmengine - INFO - Epoch(train) [148][1440/1879] lr: 1.0000e-04 eta: 16:04:47 time: 0.2807 data_time: 0.0209 memory: 8198 grad_norm: 6.8375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1524 loss: 1.1524 2022/08/03 12:48:24 - mmengine - INFO - Epoch(train) [148][1460/1879] lr: 1.0000e-04 eta: 16:04:42 time: 0.2833 data_time: 0.0235 memory: 8198 grad_norm: 6.9418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9494 loss: 0.9494 2022/08/03 12:48:30 - mmengine - INFO - Epoch(train) [148][1480/1879] lr: 1.0000e-04 eta: 16:04:36 time: 0.2863 data_time: 0.0210 memory: 8198 grad_norm: 6.6824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9977 loss: 0.9977 2022/08/03 12:48:36 - mmengine - INFO - Epoch(train) [148][1500/1879] lr: 1.0000e-04 eta: 16:04:30 time: 0.2918 data_time: 0.0222 memory: 8198 grad_norm: 6.4127 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/03 12:48:41 - mmengine - INFO - Epoch(train) [148][1520/1879] lr: 1.0000e-04 eta: 16:04:25 time: 0.2823 data_time: 0.0189 memory: 8198 grad_norm: 7.0016 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1523 loss: 1.1523 2022/08/03 12:48:47 - mmengine - INFO - Epoch(train) [148][1540/1879] lr: 1.0000e-04 eta: 16:04:19 time: 0.2861 data_time: 0.0245 memory: 8198 grad_norm: 6.6788 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0830 loss: 1.0830 2022/08/03 12:48:53 - mmengine - INFO - Epoch(train) [148][1560/1879] lr: 1.0000e-04 eta: 16:04:14 time: 0.3004 data_time: 0.0232 memory: 8198 grad_norm: 6.7529 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0818 loss: 1.0818 2022/08/03 12:48:59 - mmengine - INFO - Epoch(train) [148][1580/1879] lr: 1.0000e-04 eta: 16:04:08 time: 0.2812 data_time: 0.0190 memory: 8198 grad_norm: 6.6861 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9120 loss: 0.9120 2022/08/03 12:49:04 - mmengine - INFO - Epoch(train) [148][1600/1879] lr: 1.0000e-04 eta: 16:04:02 time: 0.2793 data_time: 0.0201 memory: 8198 grad_norm: 6.7192 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/08/03 12:49:10 - mmengine - INFO - Epoch(train) [148][1620/1879] lr: 1.0000e-04 eta: 16:03:56 time: 0.2861 data_time: 0.0237 memory: 8198 grad_norm: 6.7934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/08/03 12:49:16 - mmengine - INFO - Epoch(train) [148][1640/1879] lr: 1.0000e-04 eta: 16:03:51 time: 0.2871 data_time: 0.0208 memory: 8198 grad_norm: 6.7779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0571 loss: 1.0571 2022/08/03 12:49:22 - mmengine - INFO - Epoch(train) [148][1660/1879] lr: 1.0000e-04 eta: 16:03:45 time: 0.2856 data_time: 0.0224 memory: 8198 grad_norm: 6.9045 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0318 loss: 1.0318 2022/08/03 12:49:27 - mmengine - INFO - Epoch(train) [148][1680/1879] lr: 1.0000e-04 eta: 16:03:39 time: 0.2868 data_time: 0.0186 memory: 8198 grad_norm: 6.7237 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1248 loss: 1.1248 2022/08/03 12:49:33 - mmengine - INFO - Epoch(train) [148][1700/1879] lr: 1.0000e-04 eta: 16:03:34 time: 0.2997 data_time: 0.0242 memory: 8198 grad_norm: 6.7138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8451 loss: 0.8451 2022/08/03 12:49:39 - mmengine - INFO - Epoch(train) [148][1720/1879] lr: 1.0000e-04 eta: 16:03:28 time: 0.2823 data_time: 0.0231 memory: 8198 grad_norm: 6.8047 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8520 loss: 0.8520 2022/08/03 12:49:45 - mmengine - INFO - Epoch(train) [148][1740/1879] lr: 1.0000e-04 eta: 16:03:22 time: 0.2829 data_time: 0.0180 memory: 8198 grad_norm: 6.7111 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8141 loss: 0.8141 2022/08/03 12:49:50 - mmengine - INFO - Epoch(train) [148][1760/1879] lr: 1.0000e-04 eta: 16:03:17 time: 0.2854 data_time: 0.0213 memory: 8198 grad_norm: 6.8399 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0807 loss: 1.0807 2022/08/03 12:49:56 - mmengine - INFO - Epoch(train) [148][1780/1879] lr: 1.0000e-04 eta: 16:03:11 time: 0.2885 data_time: 0.0214 memory: 8198 grad_norm: 6.8939 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8681 loss: 0.8681 2022/08/03 12:49:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:50:02 - mmengine - INFO - Epoch(train) [148][1800/1879] lr: 1.0000e-04 eta: 16:03:06 time: 0.2906 data_time: 0.0235 memory: 8198 grad_norm: 6.9521 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9153 loss: 0.9153 2022/08/03 12:50:08 - mmengine - INFO - Epoch(train) [148][1820/1879] lr: 1.0000e-04 eta: 16:03:00 time: 0.2872 data_time: 0.0214 memory: 8198 grad_norm: 6.7924 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1258 loss: 1.1258 2022/08/03 12:50:14 - mmengine - INFO - Epoch(train) [148][1840/1879] lr: 1.0000e-04 eta: 16:02:54 time: 0.2978 data_time: 0.0243 memory: 8198 grad_norm: 6.9361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1028 loss: 1.1028 2022/08/03 12:50:20 - mmengine - INFO - Epoch(train) [148][1860/1879] lr: 1.0000e-04 eta: 16:02:49 time: 0.2851 data_time: 0.0196 memory: 8198 grad_norm: 6.4139 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0922 loss: 1.0922 2022/08/03 12:50:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:50:24 - mmengine - INFO - Epoch(train) [148][1879/1879] lr: 1.0000e-04 eta: 16:02:49 time: 0.2579 data_time: 0.0180 memory: 8198 grad_norm: 7.1667 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9742 loss: 0.9742 2022/08/03 12:50:25 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/08/03 12:50:34 - mmengine - INFO - Epoch(train) [149][20/1879] lr: 1.0000e-04 eta: 16:02:35 time: 0.3695 data_time: 0.1109 memory: 8198 grad_norm: 6.7811 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0562 loss: 1.0562 2022/08/03 12:50:40 - mmengine - INFO - Epoch(train) [149][40/1879] lr: 1.0000e-04 eta: 16:02:29 time: 0.2825 data_time: 0.0165 memory: 8198 grad_norm: 6.9033 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0725 loss: 1.0725 2022/08/03 12:50:46 - mmengine - INFO - Epoch(train) [149][60/1879] lr: 1.0000e-04 eta: 16:02:24 time: 0.2901 data_time: 0.0227 memory: 8198 grad_norm: 6.7717 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9285 loss: 0.9285 2022/08/03 12:50:51 - mmengine - INFO - Epoch(train) [149][80/1879] lr: 1.0000e-04 eta: 16:02:18 time: 0.2851 data_time: 0.0171 memory: 8198 grad_norm: 6.4872 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9284 loss: 0.9284 2022/08/03 12:50:57 - mmengine - INFO - Epoch(train) [149][100/1879] lr: 1.0000e-04 eta: 16:02:12 time: 0.2902 data_time: 0.0225 memory: 8198 grad_norm: 6.8792 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0494 loss: 1.0494 2022/08/03 12:51:03 - mmengine - INFO - Epoch(train) [149][120/1879] lr: 1.0000e-04 eta: 16:02:07 time: 0.2873 data_time: 0.0220 memory: 8198 grad_norm: 6.7517 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9743 loss: 0.9743 2022/08/03 12:51:09 - mmengine - INFO - Epoch(train) [149][140/1879] lr: 1.0000e-04 eta: 16:02:01 time: 0.2854 data_time: 0.0243 memory: 8198 grad_norm: 6.4734 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0744 loss: 1.0744 2022/08/03 12:51:14 - mmengine - INFO - Epoch(train) [149][160/1879] lr: 1.0000e-04 eta: 16:01:55 time: 0.2851 data_time: 0.0203 memory: 8198 grad_norm: 6.8251 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8742 loss: 0.8742 2022/08/03 12:51:20 - mmengine - INFO - Epoch(train) [149][180/1879] lr: 1.0000e-04 eta: 16:01:50 time: 0.2863 data_time: 0.0230 memory: 8198 grad_norm: 6.8006 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0929 loss: 1.0929 2022/08/03 12:51:26 - mmengine - INFO - Epoch(train) [149][200/1879] lr: 1.0000e-04 eta: 16:01:44 time: 0.2877 data_time: 0.0233 memory: 8198 grad_norm: 6.8973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/08/03 12:51:32 - mmengine - INFO - Epoch(train) [149][220/1879] lr: 1.0000e-04 eta: 16:01:38 time: 0.2834 data_time: 0.0242 memory: 8198 grad_norm: 6.6777 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0250 loss: 1.0250 2022/08/03 12:51:37 - mmengine - INFO - Epoch(train) [149][240/1879] lr: 1.0000e-04 eta: 16:01:33 time: 0.2876 data_time: 0.0269 memory: 8198 grad_norm: 6.7353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0876 loss: 1.0876 2022/08/03 12:51:43 - mmengine - INFO - Epoch(train) [149][260/1879] lr: 1.0000e-04 eta: 16:01:27 time: 0.2856 data_time: 0.0227 memory: 8198 grad_norm: 6.8057 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9134 loss: 0.9134 2022/08/03 12:51:49 - mmengine - INFO - Epoch(train) [149][280/1879] lr: 1.0000e-04 eta: 16:01:21 time: 0.2860 data_time: 0.0213 memory: 8198 grad_norm: 6.8866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/08/03 12:51:54 - mmengine - INFO - Epoch(train) [149][300/1879] lr: 1.0000e-04 eta: 16:01:16 time: 0.2840 data_time: 0.0208 memory: 8198 grad_norm: 6.9787 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9728 loss: 0.9728 2022/08/03 12:52:00 - mmengine - INFO - Epoch(train) [149][320/1879] lr: 1.0000e-04 eta: 16:01:10 time: 0.2812 data_time: 0.0232 memory: 8198 grad_norm: 6.6133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9481 loss: 0.9481 2022/08/03 12:52:06 - mmengine - INFO - Epoch(train) [149][340/1879] lr: 1.0000e-04 eta: 16:01:04 time: 0.2859 data_time: 0.0207 memory: 8198 grad_norm: 6.5654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/03 12:52:12 - mmengine - INFO - Epoch(train) [149][360/1879] lr: 1.0000e-04 eta: 16:00:58 time: 0.2855 data_time: 0.0238 memory: 8198 grad_norm: 6.8518 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0403 loss: 1.0403 2022/08/03 12:52:17 - mmengine - INFO - Epoch(train) [149][380/1879] lr: 1.0000e-04 eta: 16:00:53 time: 0.2891 data_time: 0.0226 memory: 8198 grad_norm: 7.0517 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9854 loss: 0.9854 2022/08/03 12:52:23 - mmengine - INFO - Epoch(train) [149][400/1879] lr: 1.0000e-04 eta: 16:00:47 time: 0.2828 data_time: 0.0206 memory: 8198 grad_norm: 6.8287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9445 loss: 0.9445 2022/08/03 12:52:29 - mmengine - INFO - Epoch(train) [149][420/1879] lr: 1.0000e-04 eta: 16:00:41 time: 0.2884 data_time: 0.0213 memory: 8198 grad_norm: 6.9441 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0360 loss: 1.0360 2022/08/03 12:52:35 - mmengine - INFO - Epoch(train) [149][440/1879] lr: 1.0000e-04 eta: 16:00:36 time: 0.2885 data_time: 0.0255 memory: 8198 grad_norm: 6.7824 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9986 loss: 0.9986 2022/08/03 12:52:40 - mmengine - INFO - Epoch(train) [149][460/1879] lr: 1.0000e-04 eta: 16:00:30 time: 0.2810 data_time: 0.0206 memory: 8198 grad_norm: 7.0038 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/03 12:52:46 - mmengine - INFO - Epoch(train) [149][480/1879] lr: 1.0000e-04 eta: 16:00:25 time: 0.2949 data_time: 0.0216 memory: 8198 grad_norm: 6.7799 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/08/03 12:52:52 - mmengine - INFO - Epoch(train) [149][500/1879] lr: 1.0000e-04 eta: 16:00:19 time: 0.2839 data_time: 0.0256 memory: 8198 grad_norm: 6.7838 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0513 loss: 1.0513 2022/08/03 12:52:58 - mmengine - INFO - Epoch(train) [149][520/1879] lr: 1.0000e-04 eta: 16:00:13 time: 0.2858 data_time: 0.0245 memory: 8198 grad_norm: 6.6593 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0868 loss: 1.0868 2022/08/03 12:53:03 - mmengine - INFO - Epoch(train) [149][540/1879] lr: 1.0000e-04 eta: 16:00:07 time: 0.2839 data_time: 0.0227 memory: 8198 grad_norm: 6.7236 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0402 loss: 1.0402 2022/08/03 12:53:09 - mmengine - INFO - Epoch(train) [149][560/1879] lr: 1.0000e-04 eta: 16:00:02 time: 0.2846 data_time: 0.0189 memory: 8198 grad_norm: 6.9374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0412 loss: 1.0412 2022/08/03 12:53:15 - mmengine - INFO - Epoch(train) [149][580/1879] lr: 1.0000e-04 eta: 15:59:56 time: 0.2896 data_time: 0.0259 memory: 8198 grad_norm: 7.0423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0180 loss: 1.0180 2022/08/03 12:53:21 - mmengine - INFO - Epoch(train) [149][600/1879] lr: 1.0000e-04 eta: 15:59:50 time: 0.2877 data_time: 0.0193 memory: 8198 grad_norm: 6.8983 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9602 loss: 0.9602 2022/08/03 12:53:26 - mmengine - INFO - Epoch(train) [149][620/1879] lr: 1.0000e-04 eta: 15:59:45 time: 0.2866 data_time: 0.0266 memory: 8198 grad_norm: 7.0652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/08/03 12:53:32 - mmengine - INFO - Epoch(train) [149][640/1879] lr: 1.0000e-04 eta: 15:59:39 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 6.8990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0245 loss: 1.0245 2022/08/03 12:53:38 - mmengine - INFO - Epoch(train) [149][660/1879] lr: 1.0000e-04 eta: 15:59:34 time: 0.2896 data_time: 0.0221 memory: 8198 grad_norm: 6.8389 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0429 loss: 1.0429 2022/08/03 12:53:44 - mmengine - INFO - Epoch(train) [149][680/1879] lr: 1.0000e-04 eta: 15:59:28 time: 0.2863 data_time: 0.0212 memory: 8198 grad_norm: 6.7674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9717 loss: 0.9717 2022/08/03 12:53:49 - mmengine - INFO - Epoch(train) [149][700/1879] lr: 1.0000e-04 eta: 15:59:22 time: 0.2878 data_time: 0.0286 memory: 8198 grad_norm: 6.7046 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9505 loss: 0.9505 2022/08/03 12:53:55 - mmengine - INFO - Epoch(train) [149][720/1879] lr: 1.0000e-04 eta: 15:59:16 time: 0.2845 data_time: 0.0213 memory: 8198 grad_norm: 6.9790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/08/03 12:54:01 - mmengine - INFO - Epoch(train) [149][740/1879] lr: 1.0000e-04 eta: 15:59:11 time: 0.2854 data_time: 0.0244 memory: 8198 grad_norm: 6.5981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8477 loss: 0.8477 2022/08/03 12:54:07 - mmengine - INFO - Epoch(train) [149][760/1879] lr: 1.0000e-04 eta: 15:59:05 time: 0.2833 data_time: 0.0217 memory: 8198 grad_norm: 6.8746 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1453 loss: 1.1453 2022/08/03 12:54:12 - mmengine - INFO - Epoch(train) [149][780/1879] lr: 1.0000e-04 eta: 15:58:59 time: 0.2835 data_time: 0.0224 memory: 8198 grad_norm: 7.2314 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0164 loss: 1.0164 2022/08/03 12:54:18 - mmengine - INFO - Epoch(train) [149][800/1879] lr: 1.0000e-04 eta: 15:58:54 time: 0.2840 data_time: 0.0252 memory: 8198 grad_norm: 6.8228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9140 loss: 0.9140 2022/08/03 12:54:24 - mmengine - INFO - Epoch(train) [149][820/1879] lr: 1.0000e-04 eta: 15:58:48 time: 0.2843 data_time: 0.0227 memory: 8198 grad_norm: 6.7308 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1289 loss: 1.1289 2022/08/03 12:54:29 - mmengine - INFO - Epoch(train) [149][840/1879] lr: 1.0000e-04 eta: 15:58:42 time: 0.2815 data_time: 0.0220 memory: 8198 grad_norm: 6.7292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8599 loss: 0.8599 2022/08/03 12:54:35 - mmengine - INFO - Epoch(train) [149][860/1879] lr: 1.0000e-04 eta: 15:58:37 time: 0.2967 data_time: 0.0247 memory: 8198 grad_norm: 6.8388 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8993 loss: 0.8993 2022/08/03 12:54:41 - mmengine - INFO - Epoch(train) [149][880/1879] lr: 1.0000e-04 eta: 15:58:31 time: 0.2819 data_time: 0.0185 memory: 8198 grad_norm: 6.9835 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9403 loss: 0.9403 2022/08/03 12:54:47 - mmengine - INFO - Epoch(train) [149][900/1879] lr: 1.0000e-04 eta: 15:58:25 time: 0.2847 data_time: 0.0312 memory: 8198 grad_norm: 6.8819 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/08/03 12:54:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:54:53 - mmengine - INFO - Epoch(train) [149][920/1879] lr: 1.0000e-04 eta: 15:58:20 time: 0.2897 data_time: 0.0207 memory: 8198 grad_norm: 6.8330 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9970 loss: 0.9970 2022/08/03 12:54:58 - mmengine - INFO - Epoch(train) [149][940/1879] lr: 1.0000e-04 eta: 15:58:14 time: 0.2969 data_time: 0.0195 memory: 8198 grad_norm: 6.7409 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0780 loss: 1.0780 2022/08/03 12:55:04 - mmengine - INFO - Epoch(train) [149][960/1879] lr: 1.0000e-04 eta: 15:58:09 time: 0.2883 data_time: 0.0227 memory: 8198 grad_norm: 6.5977 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0213 loss: 1.0213 2022/08/03 12:55:10 - mmengine - INFO - Epoch(train) [149][980/1879] lr: 1.0000e-04 eta: 15:58:03 time: 0.2849 data_time: 0.0222 memory: 8198 grad_norm: 6.7613 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1353 loss: 1.1353 2022/08/03 12:55:16 - mmengine - INFO - Epoch(train) [149][1000/1879] lr: 1.0000e-04 eta: 15:57:57 time: 0.2895 data_time: 0.0230 memory: 8198 grad_norm: 6.7914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9870 loss: 0.9870 2022/08/03 12:55:21 - mmengine - INFO - Epoch(train) [149][1020/1879] lr: 1.0000e-04 eta: 15:57:52 time: 0.2828 data_time: 0.0248 memory: 8198 grad_norm: 7.0440 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/03 12:55:27 - mmengine - INFO - Epoch(train) [149][1040/1879] lr: 1.0000e-04 eta: 15:57:46 time: 0.2880 data_time: 0.0215 memory: 8198 grad_norm: 6.9850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9643 loss: 0.9643 2022/08/03 12:55:33 - mmengine - INFO - Epoch(train) [149][1060/1879] lr: 1.0000e-04 eta: 15:57:40 time: 0.2841 data_time: 0.0227 memory: 8198 grad_norm: 6.8968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9474 loss: 0.9474 2022/08/03 12:55:39 - mmengine - INFO - Epoch(train) [149][1080/1879] lr: 1.0000e-04 eta: 15:57:34 time: 0.2847 data_time: 0.0222 memory: 8198 grad_norm: 6.8420 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/03 12:55:44 - mmengine - INFO - Epoch(train) [149][1100/1879] lr: 1.0000e-04 eta: 15:57:29 time: 0.2848 data_time: 0.0229 memory: 8198 grad_norm: 6.9327 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9826 loss: 0.9826 2022/08/03 12:55:50 - mmengine - INFO - Epoch(train) [149][1120/1879] lr: 1.0000e-04 eta: 15:57:23 time: 0.2848 data_time: 0.0209 memory: 8198 grad_norm: 6.7267 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9580 loss: 0.9580 2022/08/03 12:55:56 - mmengine - INFO - Epoch(train) [149][1140/1879] lr: 1.0000e-04 eta: 15:57:18 time: 0.2973 data_time: 0.0230 memory: 8198 grad_norm: 6.9435 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9426 loss: 0.9426 2022/08/03 12:56:02 - mmengine - INFO - Epoch(train) [149][1160/1879] lr: 1.0000e-04 eta: 15:57:12 time: 0.2792 data_time: 0.0188 memory: 8198 grad_norm: 6.9738 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0477 loss: 1.0477 2022/08/03 12:56:07 - mmengine - INFO - Epoch(train) [149][1180/1879] lr: 1.0000e-04 eta: 15:57:06 time: 0.2863 data_time: 0.0195 memory: 8198 grad_norm: 7.0519 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1696 loss: 1.1696 2022/08/03 12:56:13 - mmengine - INFO - Epoch(train) [149][1200/1879] lr: 1.0000e-04 eta: 15:57:00 time: 0.2876 data_time: 0.0212 memory: 8198 grad_norm: 6.8570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0021 loss: 1.0021 2022/08/03 12:56:19 - mmengine - INFO - Epoch(train) [149][1220/1879] lr: 1.0000e-04 eta: 15:56:55 time: 0.2833 data_time: 0.0237 memory: 8198 grad_norm: 6.8205 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0086 loss: 1.0086 2022/08/03 12:56:25 - mmengine - INFO - Epoch(train) [149][1240/1879] lr: 1.0000e-04 eta: 15:56:49 time: 0.2922 data_time: 0.0240 memory: 8198 grad_norm: 6.9195 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8507 loss: 0.8507 2022/08/03 12:56:30 - mmengine - INFO - Epoch(train) [149][1260/1879] lr: 1.0000e-04 eta: 15:56:44 time: 0.2853 data_time: 0.0219 memory: 8198 grad_norm: 6.9531 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/08/03 12:56:36 - mmengine - INFO - Epoch(train) [149][1280/1879] lr: 1.0000e-04 eta: 15:56:38 time: 0.2867 data_time: 0.0195 memory: 8198 grad_norm: 6.5220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/08/03 12:56:42 - mmengine - INFO - Epoch(train) [149][1300/1879] lr: 1.0000e-04 eta: 15:56:32 time: 0.2855 data_time: 0.0227 memory: 8198 grad_norm: 6.9673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0350 loss: 1.0350 2022/08/03 12:56:48 - mmengine - INFO - Epoch(train) [149][1320/1879] lr: 1.0000e-04 eta: 15:56:26 time: 0.2855 data_time: 0.0226 memory: 8198 grad_norm: 6.7984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8987 loss: 0.8987 2022/08/03 12:56:54 - mmengine - INFO - Epoch(train) [149][1340/1879] lr: 1.0000e-04 eta: 15:56:21 time: 0.2920 data_time: 0.0261 memory: 8198 grad_norm: 6.8400 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1132 loss: 1.1132 2022/08/03 12:56:59 - mmengine - INFO - Epoch(train) [149][1360/1879] lr: 1.0000e-04 eta: 15:56:15 time: 0.2796 data_time: 0.0199 memory: 8198 grad_norm: 6.8249 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0558 loss: 1.0558 2022/08/03 12:57:05 - mmengine - INFO - Epoch(train) [149][1380/1879] lr: 1.0000e-04 eta: 15:56:10 time: 0.2911 data_time: 0.0221 memory: 8198 grad_norm: 7.1434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1616 loss: 1.1616 2022/08/03 12:57:11 - mmengine - INFO - Epoch(train) [149][1400/1879] lr: 1.0000e-04 eta: 15:56:04 time: 0.2863 data_time: 0.0261 memory: 8198 grad_norm: 6.9308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8872 loss: 0.8872 2022/08/03 12:57:17 - mmengine - INFO - Epoch(train) [149][1420/1879] lr: 1.0000e-04 eta: 15:55:58 time: 0.2858 data_time: 0.0230 memory: 8198 grad_norm: 7.0185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0301 loss: 1.0301 2022/08/03 12:57:22 - mmengine - INFO - Epoch(train) [149][1440/1879] lr: 1.0000e-04 eta: 15:55:52 time: 0.2808 data_time: 0.0211 memory: 8198 grad_norm: 6.8158 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8477 loss: 0.8477 2022/08/03 12:57:28 - mmengine - INFO - Epoch(train) [149][1460/1879] lr: 1.0000e-04 eta: 15:55:47 time: 0.2868 data_time: 0.0257 memory: 8198 grad_norm: 6.8317 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0101 loss: 1.0101 2022/08/03 12:57:34 - mmengine - INFO - Epoch(train) [149][1480/1879] lr: 1.0000e-04 eta: 15:55:41 time: 0.2946 data_time: 0.0263 memory: 8198 grad_norm: 6.8257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0259 loss: 1.0259 2022/08/03 12:57:40 - mmengine - INFO - Epoch(train) [149][1500/1879] lr: 1.0000e-04 eta: 15:55:36 time: 0.2840 data_time: 0.0279 memory: 8198 grad_norm: 6.9040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0547 loss: 1.0547 2022/08/03 12:57:45 - mmengine - INFO - Epoch(train) [149][1520/1879] lr: 1.0000e-04 eta: 15:55:30 time: 0.2864 data_time: 0.0243 memory: 8198 grad_norm: 6.9880 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/08/03 12:57:51 - mmengine - INFO - Epoch(train) [149][1540/1879] lr: 1.0000e-04 eta: 15:55:24 time: 0.2867 data_time: 0.0237 memory: 8198 grad_norm: 6.6858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0327 loss: 1.0327 2022/08/03 12:57:57 - mmengine - INFO - Epoch(train) [149][1560/1879] lr: 1.0000e-04 eta: 15:55:19 time: 0.2906 data_time: 0.0227 memory: 8198 grad_norm: 6.9316 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9851 loss: 0.9851 2022/08/03 12:58:03 - mmengine - INFO - Epoch(train) [149][1580/1879] lr: 1.0000e-04 eta: 15:55:13 time: 0.2868 data_time: 0.0237 memory: 8198 grad_norm: 6.7593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/08/03 12:58:08 - mmengine - INFO - Epoch(train) [149][1600/1879] lr: 1.0000e-04 eta: 15:55:07 time: 0.2845 data_time: 0.0213 memory: 8198 grad_norm: 6.6717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9767 loss: 0.9767 2022/08/03 12:58:14 - mmengine - INFO - Epoch(train) [149][1620/1879] lr: 1.0000e-04 eta: 15:55:02 time: 0.2871 data_time: 0.0215 memory: 8198 grad_norm: 6.6000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9927 loss: 0.9927 2022/08/03 12:58:20 - mmengine - INFO - Epoch(train) [149][1640/1879] lr: 1.0000e-04 eta: 15:54:56 time: 0.2809 data_time: 0.0159 memory: 8198 grad_norm: 6.8401 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/08/03 12:58:25 - mmengine - INFO - Epoch(train) [149][1660/1879] lr: 1.0000e-04 eta: 15:54:50 time: 0.2871 data_time: 0.0220 memory: 8198 grad_norm: 6.8810 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/08/03 12:58:31 - mmengine - INFO - Epoch(train) [149][1680/1879] lr: 1.0000e-04 eta: 15:54:44 time: 0.2851 data_time: 0.0211 memory: 8198 grad_norm: 6.9409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1231 loss: 1.1231 2022/08/03 12:58:37 - mmengine - INFO - Epoch(train) [149][1700/1879] lr: 1.0000e-04 eta: 15:54:39 time: 0.3014 data_time: 0.0217 memory: 8198 grad_norm: 6.9264 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0823 loss: 1.0823 2022/08/03 12:58:43 - mmengine - INFO - Epoch(train) [149][1720/1879] lr: 1.0000e-04 eta: 15:54:33 time: 0.2799 data_time: 0.0208 memory: 8198 grad_norm: 6.7436 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/03 12:58:49 - mmengine - INFO - Epoch(train) [149][1740/1879] lr: 1.0000e-04 eta: 15:54:28 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 6.7058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8603 loss: 0.8603 2022/08/03 12:58:55 - mmengine - INFO - Epoch(train) [149][1760/1879] lr: 1.0000e-04 eta: 15:54:22 time: 0.3019 data_time: 0.0244 memory: 8198 grad_norm: 6.7239 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0044 loss: 1.0044 2022/08/03 12:59:00 - mmengine - INFO - Epoch(train) [149][1780/1879] lr: 1.0000e-04 eta: 15:54:16 time: 0.2823 data_time: 0.0208 memory: 8198 grad_norm: 6.8885 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1082 loss: 1.1082 2022/08/03 12:59:06 - mmengine - INFO - Epoch(train) [149][1800/1879] lr: 1.0000e-04 eta: 15:54:11 time: 0.2878 data_time: 0.0221 memory: 8198 grad_norm: 6.9497 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9493 loss: 0.9493 2022/08/03 12:59:12 - mmengine - INFO - Epoch(train) [149][1820/1879] lr: 1.0000e-04 eta: 15:54:05 time: 0.2878 data_time: 0.0200 memory: 8198 grad_norm: 6.7427 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0766 loss: 1.0766 2022/08/03 12:59:18 - mmengine - INFO - Epoch(train) [149][1840/1879] lr: 1.0000e-04 eta: 15:53:59 time: 0.2882 data_time: 0.0200 memory: 8198 grad_norm: 6.8575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0997 loss: 1.0997 2022/08/03 12:59:23 - mmengine - INFO - Epoch(train) [149][1860/1879] lr: 1.0000e-04 eta: 15:53:54 time: 0.2855 data_time: 0.0258 memory: 8198 grad_norm: 6.7754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9951 loss: 0.9951 2022/08/03 12:59:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:59:28 - mmengine - INFO - Epoch(train) [149][1879/1879] lr: 1.0000e-04 eta: 15:53:54 time: 0.2595 data_time: 0.0164 memory: 8198 grad_norm: 6.9633 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1602 loss: 1.1602 2022/08/03 12:59:36 - mmengine - INFO - Epoch(train) [150][20/1879] lr: 1.0000e-04 eta: 15:53:40 time: 0.3973 data_time: 0.0937 memory: 8198 grad_norm: 6.6923 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8380 loss: 0.8380 2022/08/03 12:59:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 12:59:42 - mmengine - INFO - Epoch(train) [150][40/1879] lr: 1.0000e-04 eta: 15:53:35 time: 0.2882 data_time: 0.0242 memory: 8198 grad_norm: 7.0327 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9158 loss: 0.9158 2022/08/03 12:59:48 - mmengine - INFO - Epoch(train) [150][60/1879] lr: 1.0000e-04 eta: 15:53:29 time: 0.2946 data_time: 0.0273 memory: 8198 grad_norm: 6.8666 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8885 loss: 0.8885 2022/08/03 12:59:54 - mmengine - INFO - Epoch(train) [150][80/1879] lr: 1.0000e-04 eta: 15:53:24 time: 0.2902 data_time: 0.0197 memory: 8198 grad_norm: 6.7942 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/08/03 13:00:00 - mmengine - INFO - Epoch(train) [150][100/1879] lr: 1.0000e-04 eta: 15:53:18 time: 0.2979 data_time: 0.0210 memory: 8198 grad_norm: 6.7188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0852 loss: 1.0852 2022/08/03 13:00:06 - mmengine - INFO - Epoch(train) [150][120/1879] lr: 1.0000e-04 eta: 15:53:12 time: 0.2911 data_time: 0.0220 memory: 8198 grad_norm: 6.6858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/08/03 13:00:11 - mmengine - INFO - Epoch(train) [150][140/1879] lr: 1.0000e-04 eta: 15:53:07 time: 0.2842 data_time: 0.0175 memory: 8198 grad_norm: 7.0084 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0400 loss: 1.0400 2022/08/03 13:00:17 - mmengine - INFO - Epoch(train) [150][160/1879] lr: 1.0000e-04 eta: 15:53:01 time: 0.2861 data_time: 0.0246 memory: 8198 grad_norm: 6.7425 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7480 loss: 0.7480 2022/08/03 13:00:23 - mmengine - INFO - Epoch(train) [150][180/1879] lr: 1.0000e-04 eta: 15:52:55 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 6.9678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/08/03 13:00:29 - mmengine - INFO - Epoch(train) [150][200/1879] lr: 1.0000e-04 eta: 15:52:50 time: 0.2854 data_time: 0.0201 memory: 8198 grad_norm: 6.7871 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8740 loss: 0.8740 2022/08/03 13:00:34 - mmengine - INFO - Epoch(train) [150][220/1879] lr: 1.0000e-04 eta: 15:52:44 time: 0.2837 data_time: 0.0258 memory: 8198 grad_norm: 6.8669 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/03 13:00:40 - mmengine - INFO - Epoch(train) [150][240/1879] lr: 1.0000e-04 eta: 15:52:38 time: 0.2835 data_time: 0.0219 memory: 8198 grad_norm: 6.9516 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9420 loss: 0.9420 2022/08/03 13:00:46 - mmengine - INFO - Epoch(train) [150][260/1879] lr: 1.0000e-04 eta: 15:52:33 time: 0.2921 data_time: 0.0221 memory: 8198 grad_norm: 6.9054 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9830 loss: 0.9830 2022/08/03 13:00:51 - mmengine - INFO - Epoch(train) [150][280/1879] lr: 1.0000e-04 eta: 15:52:27 time: 0.2802 data_time: 0.0216 memory: 8198 grad_norm: 6.8008 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0002 loss: 1.0002 2022/08/03 13:00:57 - mmengine - INFO - Epoch(train) [150][300/1879] lr: 1.0000e-04 eta: 15:52:21 time: 0.2975 data_time: 0.0204 memory: 8198 grad_norm: 6.9687 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/08/03 13:01:03 - mmengine - INFO - Epoch(train) [150][320/1879] lr: 1.0000e-04 eta: 15:52:16 time: 0.2869 data_time: 0.0239 memory: 8198 grad_norm: 6.7219 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8940 loss: 0.8940 2022/08/03 13:01:09 - mmengine - INFO - Epoch(train) [150][340/1879] lr: 1.0000e-04 eta: 15:52:10 time: 0.2844 data_time: 0.0169 memory: 8198 grad_norm: 6.9263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8929 loss: 0.8929 2022/08/03 13:01:15 - mmengine - INFO - Epoch(train) [150][360/1879] lr: 1.0000e-04 eta: 15:52:04 time: 0.2828 data_time: 0.0188 memory: 8198 grad_norm: 7.0172 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2226 loss: 1.2226 2022/08/03 13:01:20 - mmengine - INFO - Epoch(train) [150][380/1879] lr: 1.0000e-04 eta: 15:51:59 time: 0.2865 data_time: 0.0279 memory: 8198 grad_norm: 6.7685 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7706 loss: 0.7706 2022/08/03 13:01:26 - mmengine - INFO - Epoch(train) [150][400/1879] lr: 1.0000e-04 eta: 15:51:53 time: 0.2849 data_time: 0.0232 memory: 8198 grad_norm: 6.7302 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9882 loss: 0.9882 2022/08/03 13:01:32 - mmengine - INFO - Epoch(train) [150][420/1879] lr: 1.0000e-04 eta: 15:51:47 time: 0.2842 data_time: 0.0227 memory: 8198 grad_norm: 6.9407 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0456 loss: 1.0456 2022/08/03 13:01:37 - mmengine - INFO - Epoch(train) [150][440/1879] lr: 1.0000e-04 eta: 15:51:42 time: 0.2855 data_time: 0.0183 memory: 8198 grad_norm: 6.7254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0036 loss: 1.0036 2022/08/03 13:01:43 - mmengine - INFO - Epoch(train) [150][460/1879] lr: 1.0000e-04 eta: 15:51:36 time: 0.2829 data_time: 0.0241 memory: 8198 grad_norm: 6.8650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0651 loss: 1.0651 2022/08/03 13:01:49 - mmengine - INFO - Epoch(train) [150][480/1879] lr: 1.0000e-04 eta: 15:51:30 time: 0.2907 data_time: 0.0226 memory: 8198 grad_norm: 6.9903 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/03 13:01:55 - mmengine - INFO - Epoch(train) [150][500/1879] lr: 1.0000e-04 eta: 15:51:25 time: 0.2856 data_time: 0.0230 memory: 8198 grad_norm: 6.8986 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9420 loss: 0.9420 2022/08/03 13:02:00 - mmengine - INFO - Epoch(train) [150][520/1879] lr: 1.0000e-04 eta: 15:51:19 time: 0.2840 data_time: 0.0169 memory: 8198 grad_norm: 6.8258 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1015 loss: 1.1015 2022/08/03 13:02:06 - mmengine - INFO - Epoch(train) [150][540/1879] lr: 1.0000e-04 eta: 15:51:13 time: 0.2857 data_time: 0.0226 memory: 8198 grad_norm: 7.0560 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2627 loss: 1.2627 2022/08/03 13:02:12 - mmengine - INFO - Epoch(train) [150][560/1879] lr: 1.0000e-04 eta: 15:51:08 time: 0.2830 data_time: 0.0229 memory: 8198 grad_norm: 6.9748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9503 loss: 0.9503 2022/08/03 13:02:18 - mmengine - INFO - Epoch(train) [150][580/1879] lr: 1.0000e-04 eta: 15:51:02 time: 0.2869 data_time: 0.0193 memory: 8198 grad_norm: 6.7508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0668 loss: 1.0668 2022/08/03 13:02:23 - mmengine - INFO - Epoch(train) [150][600/1879] lr: 1.0000e-04 eta: 15:50:56 time: 0.2833 data_time: 0.0245 memory: 8198 grad_norm: 6.7058 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/03 13:02:29 - mmengine - INFO - Epoch(train) [150][620/1879] lr: 1.0000e-04 eta: 15:50:51 time: 0.2869 data_time: 0.0234 memory: 8198 grad_norm: 6.8508 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9721 loss: 0.9721 2022/08/03 13:02:35 - mmengine - INFO - Epoch(train) [150][640/1879] lr: 1.0000e-04 eta: 15:50:45 time: 0.2881 data_time: 0.0174 memory: 8198 grad_norm: 6.9727 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1505 loss: 1.1505 2022/08/03 13:02:41 - mmengine - INFO - Epoch(train) [150][660/1879] lr: 1.0000e-04 eta: 15:50:39 time: 0.2862 data_time: 0.0225 memory: 8198 grad_norm: 6.9116 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/08/03 13:02:46 - mmengine - INFO - Epoch(train) [150][680/1879] lr: 1.0000e-04 eta: 15:50:34 time: 0.2927 data_time: 0.0223 memory: 8198 grad_norm: 7.0638 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0929 loss: 1.0929 2022/08/03 13:02:52 - mmengine - INFO - Epoch(train) [150][700/1879] lr: 1.0000e-04 eta: 15:50:28 time: 0.2812 data_time: 0.0254 memory: 8198 grad_norm: 6.8180 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0502 loss: 1.0502 2022/08/03 13:02:58 - mmengine - INFO - Epoch(train) [150][720/1879] lr: 1.0000e-04 eta: 15:50:22 time: 0.2842 data_time: 0.0240 memory: 8198 grad_norm: 6.8369 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0785 loss: 1.0785 2022/08/03 13:03:04 - mmengine - INFO - Epoch(train) [150][740/1879] lr: 1.0000e-04 eta: 15:50:16 time: 0.2849 data_time: 0.0237 memory: 8198 grad_norm: 6.9707 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0058 loss: 1.0058 2022/08/03 13:03:09 - mmengine - INFO - Epoch(train) [150][760/1879] lr: 1.0000e-04 eta: 15:50:11 time: 0.2888 data_time: 0.0183 memory: 8198 grad_norm: 6.7746 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6688 loss: 0.6688 2022/08/03 13:03:15 - mmengine - INFO - Epoch(train) [150][780/1879] lr: 1.0000e-04 eta: 15:50:05 time: 0.2854 data_time: 0.0204 memory: 8198 grad_norm: 6.6538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9765 loss: 0.9765 2022/08/03 13:03:21 - mmengine - INFO - Epoch(train) [150][800/1879] lr: 1.0000e-04 eta: 15:50:00 time: 0.2868 data_time: 0.0235 memory: 8198 grad_norm: 6.8785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/08/03 13:03:27 - mmengine - INFO - Epoch(train) [150][820/1879] lr: 1.0000e-04 eta: 15:49:54 time: 0.2953 data_time: 0.0223 memory: 8198 grad_norm: 6.6478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9532 loss: 0.9532 2022/08/03 13:03:33 - mmengine - INFO - Epoch(train) [150][840/1879] lr: 1.0000e-04 eta: 15:49:48 time: 0.2922 data_time: 0.0234 memory: 8198 grad_norm: 6.9894 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/08/03 13:03:38 - mmengine - INFO - Epoch(train) [150][860/1879] lr: 1.0000e-04 eta: 15:49:43 time: 0.2835 data_time: 0.0229 memory: 8198 grad_norm: 6.9247 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/08/03 13:03:44 - mmengine - INFO - Epoch(train) [150][880/1879] lr: 1.0000e-04 eta: 15:49:37 time: 0.2973 data_time: 0.0206 memory: 8198 grad_norm: 6.9224 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9680 loss: 0.9680 2022/08/03 13:03:50 - mmengine - INFO - Epoch(train) [150][900/1879] lr: 1.0000e-04 eta: 15:49:31 time: 0.2800 data_time: 0.0195 memory: 8198 grad_norm: 6.6992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/08/03 13:03:56 - mmengine - INFO - Epoch(train) [150][920/1879] lr: 1.0000e-04 eta: 15:49:26 time: 0.2867 data_time: 0.0218 memory: 8198 grad_norm: 6.9223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/08/03 13:04:01 - mmengine - INFO - Epoch(train) [150][940/1879] lr: 1.0000e-04 eta: 15:49:20 time: 0.2837 data_time: 0.0231 memory: 8198 grad_norm: 6.5281 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/08/03 13:04:07 - mmengine - INFO - Epoch(train) [150][960/1879] lr: 1.0000e-04 eta: 15:49:14 time: 0.2858 data_time: 0.0198 memory: 8198 grad_norm: 6.8389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9236 loss: 0.9236 2022/08/03 13:04:13 - mmengine - INFO - Epoch(train) [150][980/1879] lr: 1.0000e-04 eta: 15:49:09 time: 0.2856 data_time: 0.0197 memory: 8198 grad_norm: 6.7270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9037 loss: 0.9037 2022/08/03 13:04:19 - mmengine - INFO - Epoch(train) [150][1000/1879] lr: 1.0000e-04 eta: 15:49:03 time: 0.2895 data_time: 0.0221 memory: 8198 grad_norm: 6.8613 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0462 loss: 1.0462 2022/08/03 13:04:24 - mmengine - INFO - Epoch(train) [150][1020/1879] lr: 1.0000e-04 eta: 15:48:57 time: 0.2907 data_time: 0.0228 memory: 8198 grad_norm: 6.8457 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9546 loss: 0.9546 2022/08/03 13:04:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:04:30 - mmengine - INFO - Epoch(train) [150][1040/1879] lr: 1.0000e-04 eta: 15:48:52 time: 0.2838 data_time: 0.0208 memory: 8198 grad_norm: 6.7612 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9819 loss: 0.9819 2022/08/03 13:04:36 - mmengine - INFO - Epoch(train) [150][1060/1879] lr: 1.0000e-04 eta: 15:48:46 time: 0.2882 data_time: 0.0262 memory: 8198 grad_norm: 6.9242 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1224 loss: 1.1224 2022/08/03 13:04:42 - mmengine - INFO - Epoch(train) [150][1080/1879] lr: 1.0000e-04 eta: 15:48:40 time: 0.2827 data_time: 0.0185 memory: 8198 grad_norm: 6.6558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9728 loss: 0.9728 2022/08/03 13:04:47 - mmengine - INFO - Epoch(train) [150][1100/1879] lr: 1.0000e-04 eta: 15:48:35 time: 0.2863 data_time: 0.0279 memory: 8198 grad_norm: 6.8190 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0980 loss: 1.0980 2022/08/03 13:04:53 - mmengine - INFO - Epoch(train) [150][1120/1879] lr: 1.0000e-04 eta: 15:48:29 time: 0.2830 data_time: 0.0215 memory: 8198 grad_norm: 6.8893 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/03 13:04:59 - mmengine - INFO - Epoch(train) [150][1140/1879] lr: 1.0000e-04 eta: 15:48:23 time: 0.2882 data_time: 0.0222 memory: 8198 grad_norm: 6.7940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/08/03 13:05:05 - mmengine - INFO - Epoch(train) [150][1160/1879] lr: 1.0000e-04 eta: 15:48:18 time: 0.2864 data_time: 0.0196 memory: 8198 grad_norm: 7.1442 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/08/03 13:05:10 - mmengine - INFO - Epoch(train) [150][1180/1879] lr: 1.0000e-04 eta: 15:48:12 time: 0.2842 data_time: 0.0233 memory: 8198 grad_norm: 6.8453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/03 13:05:16 - mmengine - INFO - Epoch(train) [150][1200/1879] lr: 1.0000e-04 eta: 15:48:06 time: 0.2853 data_time: 0.0214 memory: 8198 grad_norm: 6.6029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9755 loss: 0.9755 2022/08/03 13:05:22 - mmengine - INFO - Epoch(train) [150][1220/1879] lr: 1.0000e-04 eta: 15:48:01 time: 0.2837 data_time: 0.0237 memory: 8198 grad_norm: 6.7927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1576 loss: 1.1576 2022/08/03 13:05:27 - mmengine - INFO - Epoch(train) [150][1240/1879] lr: 1.0000e-04 eta: 15:47:55 time: 0.2860 data_time: 0.0226 memory: 8198 grad_norm: 6.5207 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0638 loss: 1.0638 2022/08/03 13:05:33 - mmengine - INFO - Epoch(train) [150][1260/1879] lr: 1.0000e-04 eta: 15:47:49 time: 0.2873 data_time: 0.0267 memory: 8198 grad_norm: 6.6222 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9827 loss: 0.9827 2022/08/03 13:05:39 - mmengine - INFO - Epoch(train) [150][1280/1879] lr: 1.0000e-04 eta: 15:47:44 time: 0.2903 data_time: 0.0234 memory: 8198 grad_norm: 6.5664 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1040 loss: 1.1040 2022/08/03 13:05:45 - mmengine - INFO - Epoch(train) [150][1300/1879] lr: 1.0000e-04 eta: 15:47:38 time: 0.2882 data_time: 0.0269 memory: 8198 grad_norm: 6.8250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/08/03 13:05:50 - mmengine - INFO - Epoch(train) [150][1320/1879] lr: 1.0000e-04 eta: 15:47:32 time: 0.2826 data_time: 0.0243 memory: 8198 grad_norm: 6.7946 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0329 loss: 1.0329 2022/08/03 13:05:56 - mmengine - INFO - Epoch(train) [150][1340/1879] lr: 1.0000e-04 eta: 15:47:27 time: 0.2862 data_time: 0.0214 memory: 8198 grad_norm: 6.7901 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0940 loss: 1.0940 2022/08/03 13:06:02 - mmengine - INFO - Epoch(train) [150][1360/1879] lr: 1.0000e-04 eta: 15:47:21 time: 0.2840 data_time: 0.0195 memory: 8198 grad_norm: 6.5361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0322 loss: 1.0322 2022/08/03 13:06:08 - mmengine - INFO - Epoch(train) [150][1380/1879] lr: 1.0000e-04 eta: 15:47:15 time: 0.2834 data_time: 0.0231 memory: 8198 grad_norm: 6.6516 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9265 loss: 0.9265 2022/08/03 13:06:13 - mmengine - INFO - Epoch(train) [150][1400/1879] lr: 1.0000e-04 eta: 15:47:10 time: 0.2833 data_time: 0.0196 memory: 8198 grad_norm: 6.7223 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/08/03 13:06:19 - mmengine - INFO - Epoch(train) [150][1420/1879] lr: 1.0000e-04 eta: 15:47:04 time: 0.2860 data_time: 0.0239 memory: 8198 grad_norm: 6.7332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8201 loss: 0.8201 2022/08/03 13:06:25 - mmengine - INFO - Epoch(train) [150][1440/1879] lr: 1.0000e-04 eta: 15:46:58 time: 0.2872 data_time: 0.0211 memory: 8198 grad_norm: 6.6630 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9622 loss: 0.9622 2022/08/03 13:06:31 - mmengine - INFO - Epoch(train) [150][1460/1879] lr: 1.0000e-04 eta: 15:46:52 time: 0.2834 data_time: 0.0245 memory: 8198 grad_norm: 6.8933 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0074 loss: 1.0074 2022/08/03 13:06:37 - mmengine - INFO - Epoch(train) [150][1480/1879] lr: 1.0000e-04 eta: 15:46:47 time: 0.3054 data_time: 0.0345 memory: 8198 grad_norm: 7.0988 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9628 loss: 0.9628 2022/08/03 13:06:42 - mmengine - INFO - Epoch(train) [150][1500/1879] lr: 1.0000e-04 eta: 15:46:41 time: 0.2843 data_time: 0.0230 memory: 8198 grad_norm: 6.7356 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9220 loss: 0.9220 2022/08/03 13:06:48 - mmengine - INFO - Epoch(train) [150][1520/1879] lr: 1.0000e-04 eta: 15:46:36 time: 0.2845 data_time: 0.0225 memory: 8198 grad_norm: 6.9356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2817 loss: 1.2817 2022/08/03 13:06:54 - mmengine - INFO - Epoch(train) [150][1540/1879] lr: 1.0000e-04 eta: 15:46:30 time: 0.2838 data_time: 0.0256 memory: 8198 grad_norm: 6.6852 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/03 13:07:00 - mmengine - INFO - Epoch(train) [150][1560/1879] lr: 1.0000e-04 eta: 15:46:24 time: 0.2881 data_time: 0.0210 memory: 8198 grad_norm: 6.6544 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9698 loss: 0.9698 2022/08/03 13:07:05 - mmengine - INFO - Epoch(train) [150][1580/1879] lr: 1.0000e-04 eta: 15:46:19 time: 0.2913 data_time: 0.0247 memory: 8198 grad_norm: 6.8891 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8269 loss: 0.8269 2022/08/03 13:07:11 - mmengine - INFO - Epoch(train) [150][1600/1879] lr: 1.0000e-04 eta: 15:46:13 time: 0.2841 data_time: 0.0186 memory: 8198 grad_norm: 6.7781 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0069 loss: 1.0069 2022/08/03 13:07:17 - mmengine - INFO - Epoch(train) [150][1620/1879] lr: 1.0000e-04 eta: 15:46:07 time: 0.2837 data_time: 0.0272 memory: 8198 grad_norm: 6.4835 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7652 loss: 0.7652 2022/08/03 13:07:23 - mmengine - INFO - Epoch(train) [150][1640/1879] lr: 1.0000e-04 eta: 15:46:02 time: 0.2863 data_time: 0.0204 memory: 8198 grad_norm: 6.7281 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9406 loss: 0.9406 2022/08/03 13:07:28 - mmengine - INFO - Epoch(train) [150][1660/1879] lr: 1.0000e-04 eta: 15:45:56 time: 0.2930 data_time: 0.0208 memory: 8198 grad_norm: 6.6734 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0675 loss: 1.0675 2022/08/03 13:07:34 - mmengine - INFO - Epoch(train) [150][1680/1879] lr: 1.0000e-04 eta: 15:45:50 time: 0.2831 data_time: 0.0222 memory: 8198 grad_norm: 6.8828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9796 loss: 0.9796 2022/08/03 13:07:40 - mmengine - INFO - Epoch(train) [150][1700/1879] lr: 1.0000e-04 eta: 15:45:45 time: 0.2893 data_time: 0.0284 memory: 8198 grad_norm: 7.0443 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2552 loss: 1.2552 2022/08/03 13:07:46 - mmengine - INFO - Epoch(train) [150][1720/1879] lr: 1.0000e-04 eta: 15:45:39 time: 0.2866 data_time: 0.0242 memory: 8198 grad_norm: 6.9140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0883 loss: 1.0883 2022/08/03 13:07:51 - mmengine - INFO - Epoch(train) [150][1740/1879] lr: 1.0000e-04 eta: 15:45:33 time: 0.2837 data_time: 0.0208 memory: 8198 grad_norm: 6.7867 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9079 loss: 0.9079 2022/08/03 13:07:57 - mmengine - INFO - Epoch(train) [150][1760/1879] lr: 1.0000e-04 eta: 15:45:28 time: 0.2851 data_time: 0.0237 memory: 8198 grad_norm: 6.9257 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1016 loss: 1.1016 2022/08/03 13:08:03 - mmengine - INFO - Epoch(train) [150][1780/1879] lr: 1.0000e-04 eta: 15:45:22 time: 0.2857 data_time: 0.0268 memory: 8198 grad_norm: 6.9631 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1149 loss: 1.1149 2022/08/03 13:08:09 - mmengine - INFO - Epoch(train) [150][1800/1879] lr: 1.0000e-04 eta: 15:45:16 time: 0.2902 data_time: 0.0199 memory: 8198 grad_norm: 6.6476 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9614 loss: 0.9614 2022/08/03 13:08:14 - mmengine - INFO - Epoch(train) [150][1820/1879] lr: 1.0000e-04 eta: 15:45:11 time: 0.2834 data_time: 0.0201 memory: 8198 grad_norm: 6.8687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/03 13:08:20 - mmengine - INFO - Epoch(train) [150][1840/1879] lr: 1.0000e-04 eta: 15:45:05 time: 0.2837 data_time: 0.0226 memory: 8198 grad_norm: 6.9272 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/03 13:08:26 - mmengine - INFO - Epoch(train) [150][1860/1879] lr: 1.0000e-04 eta: 15:44:59 time: 0.2928 data_time: 0.0248 memory: 8198 grad_norm: 6.7239 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8325 loss: 0.8325 2022/08/03 13:08:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:08:31 - mmengine - INFO - Epoch(train) [150][1879/1879] lr: 1.0000e-04 eta: 15:44:59 time: 0.2554 data_time: 0.0143 memory: 8198 grad_norm: 6.8976 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/08/03 13:08:37 - mmengine - INFO - Epoch(val) [150][20/155] eta: 0:00:44 time: 0.3321 data_time: 0.2403 memory: 1514 2022/08/03 13:08:42 - mmengine - INFO - Epoch(val) [150][40/155] eta: 0:00:25 time: 0.2232 data_time: 0.1340 memory: 1514 2022/08/03 13:08:48 - mmengine - INFO - Epoch(val) [150][60/155] eta: 0:00:28 time: 0.2969 data_time: 0.2104 memory: 1514 2022/08/03 13:08:52 - mmengine - INFO - Epoch(val) [150][80/155] eta: 0:00:17 time: 0.2282 data_time: 0.1416 memory: 1514 2022/08/03 13:08:59 - mmengine - INFO - Epoch(val) [150][100/155] eta: 0:00:16 time: 0.3066 data_time: 0.2182 memory: 1514 2022/08/03 13:09:03 - mmengine - INFO - Epoch(val) [150][120/155] eta: 0:00:07 time: 0.2273 data_time: 0.1408 memory: 1514 2022/08/03 13:09:09 - mmengine - INFO - Epoch(val) [150][140/155] eta: 0:00:04 time: 0.3060 data_time: 0.2196 memory: 1514 2022/08/03 13:09:15 - mmengine - INFO - Epoch(val) [150][155/155] acc/top1: 0.6817 acc/top5: 0.8697 acc/mean1: 0.6815 2022/08/03 13:09:23 - mmengine - INFO - Epoch(train) [151][20/1879] lr: 1.0000e-04 eta: 15:44:46 time: 0.4062 data_time: 0.1231 memory: 8198 grad_norm: 6.7240 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0142 loss: 1.0142 2022/08/03 13:09:29 - mmengine - INFO - Epoch(train) [151][40/1879] lr: 1.0000e-04 eta: 15:44:41 time: 0.2872 data_time: 0.0255 memory: 8198 grad_norm: 6.6007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9487 loss: 0.9487 2022/08/03 13:09:35 - mmengine - INFO - Epoch(train) [151][60/1879] lr: 1.0000e-04 eta: 15:44:35 time: 0.2932 data_time: 0.0256 memory: 8198 grad_norm: 6.7455 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0833 loss: 1.0833 2022/08/03 13:09:40 - mmengine - INFO - Epoch(train) [151][80/1879] lr: 1.0000e-04 eta: 15:44:29 time: 0.2874 data_time: 0.0276 memory: 8198 grad_norm: 6.8157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0168 loss: 1.0168 2022/08/03 13:09:46 - mmengine - INFO - Epoch(train) [151][100/1879] lr: 1.0000e-04 eta: 15:44:24 time: 0.2902 data_time: 0.0231 memory: 8198 grad_norm: 6.9265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9775 loss: 0.9775 2022/08/03 13:09:52 - mmengine - INFO - Epoch(train) [151][120/1879] lr: 1.0000e-04 eta: 15:44:18 time: 0.2826 data_time: 0.0230 memory: 8198 grad_norm: 7.0815 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0112 loss: 1.0112 2022/08/03 13:09:58 - mmengine - INFO - Epoch(train) [151][140/1879] lr: 1.0000e-04 eta: 15:44:12 time: 0.2862 data_time: 0.0216 memory: 8198 grad_norm: 6.6156 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9354 loss: 0.9354 2022/08/03 13:10:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:10:03 - mmengine - INFO - Epoch(train) [151][160/1879] lr: 1.0000e-04 eta: 15:44:07 time: 0.2825 data_time: 0.0217 memory: 8198 grad_norm: 6.7739 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/08/03 13:10:09 - mmengine - INFO - Epoch(train) [151][180/1879] lr: 1.0000e-04 eta: 15:44:01 time: 0.2927 data_time: 0.0241 memory: 8198 grad_norm: 6.7813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0018 loss: 1.0018 2022/08/03 13:10:15 - mmengine - INFO - Epoch(train) [151][200/1879] lr: 1.0000e-04 eta: 15:43:55 time: 0.2874 data_time: 0.0234 memory: 8198 grad_norm: 6.9249 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9976 loss: 0.9976 2022/08/03 13:10:21 - mmengine - INFO - Epoch(train) [151][220/1879] lr: 1.0000e-04 eta: 15:43:50 time: 0.2890 data_time: 0.0264 memory: 8198 grad_norm: 6.9931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/08/03 13:10:27 - mmengine - INFO - Epoch(train) [151][240/1879] lr: 1.0000e-04 eta: 15:43:44 time: 0.2879 data_time: 0.0250 memory: 8198 grad_norm: 6.5518 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0017 loss: 1.0017 2022/08/03 13:10:32 - mmengine - INFO - Epoch(train) [151][260/1879] lr: 1.0000e-04 eta: 15:43:38 time: 0.2834 data_time: 0.0263 memory: 8198 grad_norm: 6.7304 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9736 loss: 0.9736 2022/08/03 13:10:38 - mmengine - INFO - Epoch(train) [151][280/1879] lr: 1.0000e-04 eta: 15:43:33 time: 0.2837 data_time: 0.0200 memory: 8198 grad_norm: 7.1128 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1086 loss: 1.1086 2022/08/03 13:10:44 - mmengine - INFO - Epoch(train) [151][300/1879] lr: 1.0000e-04 eta: 15:43:27 time: 0.2847 data_time: 0.0238 memory: 8198 grad_norm: 6.9121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0143 loss: 1.0143 2022/08/03 13:10:49 - mmengine - INFO - Epoch(train) [151][320/1879] lr: 1.0000e-04 eta: 15:43:21 time: 0.2874 data_time: 0.0250 memory: 8198 grad_norm: 6.8007 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0861 loss: 1.0861 2022/08/03 13:10:55 - mmengine - INFO - Epoch(train) [151][340/1879] lr: 1.0000e-04 eta: 15:43:16 time: 0.2844 data_time: 0.0190 memory: 8198 grad_norm: 6.8099 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9758 loss: 0.9758 2022/08/03 13:11:01 - mmengine - INFO - Epoch(train) [151][360/1879] lr: 1.0000e-04 eta: 15:43:10 time: 0.2861 data_time: 0.0246 memory: 8198 grad_norm: 6.7737 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0257 loss: 1.0257 2022/08/03 13:11:07 - mmengine - INFO - Epoch(train) [151][380/1879] lr: 1.0000e-04 eta: 15:43:04 time: 0.2878 data_time: 0.0260 memory: 8198 grad_norm: 6.7741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/08/03 13:11:12 - mmengine - INFO - Epoch(train) [151][400/1879] lr: 1.0000e-04 eta: 15:42:59 time: 0.2809 data_time: 0.0187 memory: 8198 grad_norm: 6.9370 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9586 loss: 0.9586 2022/08/03 13:11:18 - mmengine - INFO - Epoch(train) [151][420/1879] lr: 1.0000e-04 eta: 15:42:53 time: 0.2845 data_time: 0.0223 memory: 8198 grad_norm: 6.6924 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9426 loss: 0.9426 2022/08/03 13:11:24 - mmengine - INFO - Epoch(train) [151][440/1879] lr: 1.0000e-04 eta: 15:42:47 time: 0.2833 data_time: 0.0239 memory: 8198 grad_norm: 6.8358 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9064 loss: 0.9064 2022/08/03 13:11:29 - mmengine - INFO - Epoch(train) [151][460/1879] lr: 1.0000e-04 eta: 15:42:41 time: 0.2835 data_time: 0.0198 memory: 8198 grad_norm: 6.8704 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0316 loss: 1.0316 2022/08/03 13:11:35 - mmengine - INFO - Epoch(train) [151][480/1879] lr: 1.0000e-04 eta: 15:42:36 time: 0.2834 data_time: 0.0206 memory: 8198 grad_norm: 6.8985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8631 loss: 0.8631 2022/08/03 13:11:41 - mmengine - INFO - Epoch(train) [151][500/1879] lr: 1.0000e-04 eta: 15:42:30 time: 0.2938 data_time: 0.0199 memory: 8198 grad_norm: 6.7458 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0378 loss: 1.0378 2022/08/03 13:11:47 - mmengine - INFO - Epoch(train) [151][520/1879] lr: 1.0000e-04 eta: 15:42:24 time: 0.2833 data_time: 0.0217 memory: 8198 grad_norm: 6.9313 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0084 loss: 1.0084 2022/08/03 13:11:52 - mmengine - INFO - Epoch(train) [151][540/1879] lr: 1.0000e-04 eta: 15:42:19 time: 0.2893 data_time: 0.0279 memory: 8198 grad_norm: 6.6797 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7930 loss: 0.7930 2022/08/03 13:11:58 - mmengine - INFO - Epoch(train) [151][560/1879] lr: 1.0000e-04 eta: 15:42:13 time: 0.2867 data_time: 0.0202 memory: 8198 grad_norm: 6.5512 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/08/03 13:12:04 - mmengine - INFO - Epoch(train) [151][580/1879] lr: 1.0000e-04 eta: 15:42:07 time: 0.2846 data_time: 0.0271 memory: 8198 grad_norm: 6.8528 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0471 loss: 1.0471 2022/08/03 13:12:10 - mmengine - INFO - Epoch(train) [151][600/1879] lr: 1.0000e-04 eta: 15:42:02 time: 0.2841 data_time: 0.0201 memory: 8198 grad_norm: 6.9256 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/03 13:12:15 - mmengine - INFO - Epoch(train) [151][620/1879] lr: 1.0000e-04 eta: 15:41:56 time: 0.2932 data_time: 0.0231 memory: 8198 grad_norm: 6.8949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9753 loss: 0.9753 2022/08/03 13:12:21 - mmengine - INFO - Epoch(train) [151][640/1879] lr: 1.0000e-04 eta: 15:41:50 time: 0.2835 data_time: 0.0191 memory: 8198 grad_norm: 7.1176 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9796 loss: 0.9796 2022/08/03 13:12:27 - mmengine - INFO - Epoch(train) [151][660/1879] lr: 1.0000e-04 eta: 15:41:45 time: 0.2831 data_time: 0.0263 memory: 8198 grad_norm: 6.7638 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9449 loss: 0.9449 2022/08/03 13:12:33 - mmengine - INFO - Epoch(train) [151][680/1879] lr: 1.0000e-04 eta: 15:41:39 time: 0.2868 data_time: 0.0245 memory: 8198 grad_norm: 6.8692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9453 loss: 0.9453 2022/08/03 13:12:38 - mmengine - INFO - Epoch(train) [151][700/1879] lr: 1.0000e-04 eta: 15:41:33 time: 0.2897 data_time: 0.0224 memory: 8198 grad_norm: 6.8151 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1823 loss: 1.1823 2022/08/03 13:12:44 - mmengine - INFO - Epoch(train) [151][720/1879] lr: 1.0000e-04 eta: 15:41:28 time: 0.2823 data_time: 0.0214 memory: 8198 grad_norm: 6.5378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/08/03 13:12:50 - mmengine - INFO - Epoch(train) [151][740/1879] lr: 1.0000e-04 eta: 15:41:22 time: 0.3044 data_time: 0.0298 memory: 8198 grad_norm: 6.8073 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9395 loss: 0.9395 2022/08/03 13:12:56 - mmengine - INFO - Epoch(train) [151][760/1879] lr: 1.0000e-04 eta: 15:41:17 time: 0.2855 data_time: 0.0239 memory: 8198 grad_norm: 6.8290 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7967 loss: 0.7967 2022/08/03 13:13:02 - mmengine - INFO - Epoch(train) [151][780/1879] lr: 1.0000e-04 eta: 15:41:11 time: 0.2847 data_time: 0.0274 memory: 8198 grad_norm: 6.7797 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9125 loss: 0.9125 2022/08/03 13:13:08 - mmengine - INFO - Epoch(train) [151][800/1879] lr: 1.0000e-04 eta: 15:41:05 time: 0.2959 data_time: 0.0200 memory: 8198 grad_norm: 6.8508 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0605 loss: 1.0605 2022/08/03 13:13:13 - mmengine - INFO - Epoch(train) [151][820/1879] lr: 1.0000e-04 eta: 15:41:00 time: 0.2892 data_time: 0.0247 memory: 8198 grad_norm: 6.8362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9457 loss: 0.9457 2022/08/03 13:13:19 - mmengine - INFO - Epoch(train) [151][840/1879] lr: 1.0000e-04 eta: 15:40:54 time: 0.2853 data_time: 0.0235 memory: 8198 grad_norm: 6.6989 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/08/03 13:13:25 - mmengine - INFO - Epoch(train) [151][860/1879] lr: 1.0000e-04 eta: 15:40:48 time: 0.2838 data_time: 0.0187 memory: 8198 grad_norm: 6.8154 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9508 loss: 0.9508 2022/08/03 13:13:30 - mmengine - INFO - Epoch(train) [151][880/1879] lr: 1.0000e-04 eta: 15:40:43 time: 0.2838 data_time: 0.0204 memory: 8198 grad_norm: 6.9552 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/08/03 13:13:36 - mmengine - INFO - Epoch(train) [151][900/1879] lr: 1.0000e-04 eta: 15:40:37 time: 0.2861 data_time: 0.0231 memory: 8198 grad_norm: 7.0035 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1599 loss: 1.1599 2022/08/03 13:13:42 - mmengine - INFO - Epoch(train) [151][920/1879] lr: 1.0000e-04 eta: 15:40:31 time: 0.2839 data_time: 0.0250 memory: 8198 grad_norm: 6.8829 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9319 loss: 0.9319 2022/08/03 13:13:48 - mmengine - INFO - Epoch(train) [151][940/1879] lr: 1.0000e-04 eta: 15:40:26 time: 0.2892 data_time: 0.0190 memory: 8198 grad_norm: 6.8992 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/03 13:13:53 - mmengine - INFO - Epoch(train) [151][960/1879] lr: 1.0000e-04 eta: 15:40:20 time: 0.2836 data_time: 0.0191 memory: 8198 grad_norm: 6.8152 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0784 loss: 1.0784 2022/08/03 13:13:59 - mmengine - INFO - Epoch(train) [151][980/1879] lr: 1.0000e-04 eta: 15:40:14 time: 0.2899 data_time: 0.0274 memory: 8198 grad_norm: 6.9039 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0526 loss: 1.0526 2022/08/03 13:14:05 - mmengine - INFO - Epoch(train) [151][1000/1879] lr: 1.0000e-04 eta: 15:40:09 time: 0.2928 data_time: 0.0186 memory: 8198 grad_norm: 6.9648 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/08/03 13:14:11 - mmengine - INFO - Epoch(train) [151][1020/1879] lr: 1.0000e-04 eta: 15:40:03 time: 0.2834 data_time: 0.0243 memory: 8198 grad_norm: 6.8414 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1707 loss: 1.1707 2022/08/03 13:14:17 - mmengine - INFO - Epoch(train) [151][1040/1879] lr: 1.0000e-04 eta: 15:39:57 time: 0.2839 data_time: 0.0234 memory: 8198 grad_norm: 6.7867 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9804 loss: 0.9804 2022/08/03 13:14:22 - mmengine - INFO - Epoch(train) [151][1060/1879] lr: 1.0000e-04 eta: 15:39:52 time: 0.2836 data_time: 0.0204 memory: 8198 grad_norm: 7.0099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0450 loss: 1.0450 2022/08/03 13:14:28 - mmengine - INFO - Epoch(train) [151][1080/1879] lr: 1.0000e-04 eta: 15:39:46 time: 0.2895 data_time: 0.0231 memory: 8198 grad_norm: 6.8071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0262 loss: 1.0262 2022/08/03 13:14:34 - mmengine - INFO - Epoch(train) [151][1100/1879] lr: 1.0000e-04 eta: 15:39:40 time: 0.2872 data_time: 0.0301 memory: 8198 grad_norm: 6.8561 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0411 loss: 1.0411 2022/08/03 13:14:40 - mmengine - INFO - Epoch(train) [151][1120/1879] lr: 1.0000e-04 eta: 15:39:35 time: 0.2862 data_time: 0.0205 memory: 8198 grad_norm: 6.6770 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8794 loss: 0.8794 2022/08/03 13:14:46 - mmengine - INFO - Epoch(train) [151][1140/1879] lr: 1.0000e-04 eta: 15:39:29 time: 0.3028 data_time: 0.0209 memory: 8198 grad_norm: 6.6935 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/08/03 13:14:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:14:51 - mmengine - INFO - Epoch(train) [151][1160/1879] lr: 1.0000e-04 eta: 15:39:24 time: 0.2822 data_time: 0.0199 memory: 8198 grad_norm: 6.7494 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/08/03 13:14:57 - mmengine - INFO - Epoch(train) [151][1180/1879] lr: 1.0000e-04 eta: 15:39:18 time: 0.2851 data_time: 0.0249 memory: 8198 grad_norm: 6.8424 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9429 loss: 0.9429 2022/08/03 13:15:03 - mmengine - INFO - Epoch(train) [151][1200/1879] lr: 1.0000e-04 eta: 15:39:12 time: 0.2902 data_time: 0.0232 memory: 8198 grad_norm: 6.8495 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9260 loss: 0.9260 2022/08/03 13:15:09 - mmengine - INFO - Epoch(train) [151][1220/1879] lr: 1.0000e-04 eta: 15:39:07 time: 0.2921 data_time: 0.0220 memory: 8198 grad_norm: 6.8570 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9953 loss: 0.9953 2022/08/03 13:15:14 - mmengine - INFO - Epoch(train) [151][1240/1879] lr: 1.0000e-04 eta: 15:39:01 time: 0.2821 data_time: 0.0196 memory: 8198 grad_norm: 6.6410 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9175 loss: 0.9175 2022/08/03 13:15:20 - mmengine - INFO - Epoch(train) [151][1260/1879] lr: 1.0000e-04 eta: 15:38:55 time: 0.2841 data_time: 0.0206 memory: 8198 grad_norm: 6.6552 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9298 loss: 0.9298 2022/08/03 13:15:26 - mmengine - INFO - Epoch(train) [151][1280/1879] lr: 1.0000e-04 eta: 15:38:50 time: 0.2868 data_time: 0.0230 memory: 8198 grad_norm: 6.8124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9751 loss: 0.9751 2022/08/03 13:15:31 - mmengine - INFO - Epoch(train) [151][1300/1879] lr: 1.0000e-04 eta: 15:38:44 time: 0.2829 data_time: 0.0297 memory: 8198 grad_norm: 6.6635 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1002 loss: 1.1002 2022/08/03 13:15:37 - mmengine - INFO - Epoch(train) [151][1320/1879] lr: 1.0000e-04 eta: 15:38:38 time: 0.2858 data_time: 0.0218 memory: 8198 grad_norm: 6.9733 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/08/03 13:15:43 - mmengine - INFO - Epoch(train) [151][1340/1879] lr: 1.0000e-04 eta: 15:38:33 time: 0.2865 data_time: 0.0245 memory: 8198 grad_norm: 6.9917 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0739 loss: 1.0739 2022/08/03 13:15:49 - mmengine - INFO - Epoch(train) [151][1360/1879] lr: 1.0000e-04 eta: 15:38:27 time: 0.2995 data_time: 0.0228 memory: 8198 grad_norm: 6.8736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9304 loss: 0.9304 2022/08/03 13:15:55 - mmengine - INFO - Epoch(train) [151][1380/1879] lr: 1.0000e-04 eta: 15:38:21 time: 0.2806 data_time: 0.0209 memory: 8198 grad_norm: 6.8814 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0015 loss: 1.0015 2022/08/03 13:16:00 - mmengine - INFO - Epoch(train) [151][1400/1879] lr: 1.0000e-04 eta: 15:38:16 time: 0.2886 data_time: 0.0276 memory: 8198 grad_norm: 6.7226 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9868 loss: 0.9868 2022/08/03 13:16:06 - mmengine - INFO - Epoch(train) [151][1420/1879] lr: 1.0000e-04 eta: 15:38:10 time: 0.2856 data_time: 0.0239 memory: 8198 grad_norm: 6.8366 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0295 loss: 1.0295 2022/08/03 13:16:12 - mmengine - INFO - Epoch(train) [151][1440/1879] lr: 1.0000e-04 eta: 15:38:04 time: 0.2813 data_time: 0.0204 memory: 8198 grad_norm: 6.7982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9629 loss: 0.9629 2022/08/03 13:16:18 - mmengine - INFO - Epoch(train) [151][1460/1879] lr: 1.0000e-04 eta: 15:37:59 time: 0.2891 data_time: 0.0243 memory: 8198 grad_norm: 6.9487 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2305 loss: 1.2305 2022/08/03 13:16:23 - mmengine - INFO - Epoch(train) [151][1480/1879] lr: 1.0000e-04 eta: 15:37:53 time: 0.2822 data_time: 0.0201 memory: 8198 grad_norm: 6.6831 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9507 loss: 0.9507 2022/08/03 13:16:29 - mmengine - INFO - Epoch(train) [151][1500/1879] lr: 1.0000e-04 eta: 15:37:47 time: 0.2836 data_time: 0.0191 memory: 8198 grad_norm: 6.8208 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0743 loss: 1.0743 2022/08/03 13:16:35 - mmengine - INFO - Epoch(train) [151][1520/1879] lr: 1.0000e-04 eta: 15:37:41 time: 0.2839 data_time: 0.0211 memory: 8198 grad_norm: 6.6953 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8972 loss: 0.8972 2022/08/03 13:16:40 - mmengine - INFO - Epoch(train) [151][1540/1879] lr: 1.0000e-04 eta: 15:37:36 time: 0.2893 data_time: 0.0210 memory: 8198 grad_norm: 6.8812 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8529 loss: 0.8529 2022/08/03 13:16:46 - mmengine - INFO - Epoch(train) [151][1560/1879] lr: 1.0000e-04 eta: 15:37:30 time: 0.2837 data_time: 0.0179 memory: 8198 grad_norm: 6.9104 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0711 loss: 1.0711 2022/08/03 13:16:52 - mmengine - INFO - Epoch(train) [151][1580/1879] lr: 1.0000e-04 eta: 15:37:24 time: 0.2846 data_time: 0.0226 memory: 8198 grad_norm: 6.7748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9563 loss: 0.9563 2022/08/03 13:16:58 - mmengine - INFO - Epoch(train) [151][1600/1879] lr: 1.0000e-04 eta: 15:37:19 time: 0.2844 data_time: 0.0204 memory: 8198 grad_norm: 7.0776 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/08/03 13:17:03 - mmengine - INFO - Epoch(train) [151][1620/1879] lr: 1.0000e-04 eta: 15:37:13 time: 0.2817 data_time: 0.0209 memory: 8198 grad_norm: 6.8892 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8590 loss: 0.8590 2022/08/03 13:17:09 - mmengine - INFO - Epoch(train) [151][1640/1879] lr: 1.0000e-04 eta: 15:37:07 time: 0.2900 data_time: 0.0231 memory: 8198 grad_norm: 6.9183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0139 loss: 1.0139 2022/08/03 13:17:15 - mmengine - INFO - Epoch(train) [151][1660/1879] lr: 1.0000e-04 eta: 15:37:02 time: 0.2840 data_time: 0.0265 memory: 8198 grad_norm: 6.9961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0867 loss: 1.0867 2022/08/03 13:17:21 - mmengine - INFO - Epoch(train) [151][1680/1879] lr: 1.0000e-04 eta: 15:36:56 time: 0.2920 data_time: 0.0186 memory: 8198 grad_norm: 6.7553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/08/03 13:17:27 - mmengine - INFO - Epoch(train) [151][1700/1879] lr: 1.0000e-04 eta: 15:36:51 time: 0.2973 data_time: 0.0229 memory: 8198 grad_norm: 6.9965 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9759 loss: 0.9759 2022/08/03 13:17:32 - mmengine - INFO - Epoch(train) [151][1720/1879] lr: 1.0000e-04 eta: 15:36:45 time: 0.2826 data_time: 0.0217 memory: 8198 grad_norm: 6.6813 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8597 loss: 0.8597 2022/08/03 13:17:38 - mmengine - INFO - Epoch(train) [151][1740/1879] lr: 1.0000e-04 eta: 15:36:39 time: 0.2873 data_time: 0.0195 memory: 8198 grad_norm: 6.9161 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9727 loss: 0.9727 2022/08/03 13:17:44 - mmengine - INFO - Epoch(train) [151][1760/1879] lr: 1.0000e-04 eta: 15:36:33 time: 0.2818 data_time: 0.0236 memory: 8198 grad_norm: 6.8832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0574 loss: 1.0574 2022/08/03 13:17:50 - mmengine - INFO - Epoch(train) [151][1780/1879] lr: 1.0000e-04 eta: 15:36:28 time: 0.2921 data_time: 0.0216 memory: 8198 grad_norm: 6.8433 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8460 loss: 0.8460 2022/08/03 13:17:55 - mmengine - INFO - Epoch(train) [151][1800/1879] lr: 1.0000e-04 eta: 15:36:22 time: 0.2898 data_time: 0.0292 memory: 8198 grad_norm: 6.7181 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0418 loss: 1.0418 2022/08/03 13:18:01 - mmengine - INFO - Epoch(train) [151][1820/1879] lr: 1.0000e-04 eta: 15:36:17 time: 0.2825 data_time: 0.0183 memory: 8198 grad_norm: 6.7085 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9732 loss: 0.9732 2022/08/03 13:18:07 - mmengine - INFO - Epoch(train) [151][1840/1879] lr: 1.0000e-04 eta: 15:36:11 time: 0.3050 data_time: 0.0174 memory: 8198 grad_norm: 7.1399 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9606 loss: 0.9606 2022/08/03 13:18:13 - mmengine - INFO - Epoch(train) [151][1860/1879] lr: 1.0000e-04 eta: 15:36:05 time: 0.2831 data_time: 0.0232 memory: 8198 grad_norm: 7.0257 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9524 loss: 0.9524 2022/08/03 13:18:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:18:18 - mmengine - INFO - Epoch(train) [151][1879/1879] lr: 1.0000e-04 eta: 15:36:05 time: 0.2604 data_time: 0.0157 memory: 8198 grad_norm: 6.8017 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0423 loss: 1.0423 2022/08/03 13:18:26 - mmengine - INFO - Epoch(train) [152][20/1879] lr: 1.0000e-04 eta: 15:35:52 time: 0.4064 data_time: 0.1184 memory: 8198 grad_norm: 6.9478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/08/03 13:18:32 - mmengine - INFO - Epoch(train) [152][40/1879] lr: 1.0000e-04 eta: 15:35:47 time: 0.2875 data_time: 0.0241 memory: 8198 grad_norm: 6.9340 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/08/03 13:18:38 - mmengine - INFO - Epoch(train) [152][60/1879] lr: 1.0000e-04 eta: 15:35:41 time: 0.2919 data_time: 0.0242 memory: 8198 grad_norm: 6.8877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9472 loss: 0.9472 2022/08/03 13:18:43 - mmengine - INFO - Epoch(train) [152][80/1879] lr: 1.0000e-04 eta: 15:35:35 time: 0.2862 data_time: 0.0213 memory: 8198 grad_norm: 6.8469 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0337 loss: 1.0337 2022/08/03 13:18:49 - mmengine - INFO - Epoch(train) [152][100/1879] lr: 1.0000e-04 eta: 15:35:30 time: 0.2981 data_time: 0.0208 memory: 8198 grad_norm: 6.5854 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9064 loss: 0.9064 2022/08/03 13:18:55 - mmengine - INFO - Epoch(train) [152][120/1879] lr: 1.0000e-04 eta: 15:35:24 time: 0.2808 data_time: 0.0248 memory: 8198 grad_norm: 6.9977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2456 loss: 1.2456 2022/08/03 13:19:01 - mmengine - INFO - Epoch(train) [152][140/1879] lr: 1.0000e-04 eta: 15:35:18 time: 0.2888 data_time: 0.0296 memory: 8198 grad_norm: 7.1396 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1574 loss: 1.1574 2022/08/03 13:19:07 - mmengine - INFO - Epoch(train) [152][160/1879] lr: 1.0000e-04 eta: 15:35:13 time: 0.2941 data_time: 0.0207 memory: 8198 grad_norm: 6.6092 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9122 loss: 0.9122 2022/08/03 13:19:12 - mmengine - INFO - Epoch(train) [152][180/1879] lr: 1.0000e-04 eta: 15:35:07 time: 0.2817 data_time: 0.0241 memory: 8198 grad_norm: 6.9852 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/03 13:19:18 - mmengine - INFO - Epoch(train) [152][200/1879] lr: 1.0000e-04 eta: 15:35:01 time: 0.2816 data_time: 0.0182 memory: 8198 grad_norm: 6.9205 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9330 loss: 0.9330 2022/08/03 13:19:24 - mmengine - INFO - Epoch(train) [152][220/1879] lr: 1.0000e-04 eta: 15:34:56 time: 0.2844 data_time: 0.0250 memory: 8198 grad_norm: 6.7157 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1396 loss: 1.1396 2022/08/03 13:19:30 - mmengine - INFO - Epoch(train) [152][240/1879] lr: 1.0000e-04 eta: 15:34:50 time: 0.2881 data_time: 0.0285 memory: 8198 grad_norm: 7.0143 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9347 loss: 0.9347 2022/08/03 13:19:35 - mmengine - INFO - Epoch(train) [152][260/1879] lr: 1.0000e-04 eta: 15:34:44 time: 0.2847 data_time: 0.0203 memory: 8198 grad_norm: 6.6095 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/03 13:19:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:19:41 - mmengine - INFO - Epoch(train) [152][280/1879] lr: 1.0000e-04 eta: 15:34:39 time: 0.2823 data_time: 0.0164 memory: 8198 grad_norm: 6.7470 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8576 loss: 0.8576 2022/08/03 13:19:47 - mmengine - INFO - Epoch(train) [152][300/1879] lr: 1.0000e-04 eta: 15:34:33 time: 0.2880 data_time: 0.0238 memory: 8198 grad_norm: 6.8865 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8392 loss: 0.8392 2022/08/03 13:19:52 - mmengine - INFO - Epoch(train) [152][320/1879] lr: 1.0000e-04 eta: 15:34:27 time: 0.2836 data_time: 0.0229 memory: 8198 grad_norm: 6.8209 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9525 loss: 0.9525 2022/08/03 13:19:58 - mmengine - INFO - Epoch(train) [152][340/1879] lr: 1.0000e-04 eta: 15:34:22 time: 0.2855 data_time: 0.0244 memory: 8198 grad_norm: 6.6343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9959 loss: 0.9959 2022/08/03 13:20:04 - mmengine - INFO - Epoch(train) [152][360/1879] lr: 1.0000e-04 eta: 15:34:16 time: 0.2828 data_time: 0.0224 memory: 8198 grad_norm: 6.8023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/08/03 13:20:10 - mmengine - INFO - Epoch(train) [152][380/1879] lr: 1.0000e-04 eta: 15:34:10 time: 0.2907 data_time: 0.0228 memory: 8198 grad_norm: 6.8761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9266 loss: 0.9266 2022/08/03 13:20:15 - mmengine - INFO - Epoch(train) [152][400/1879] lr: 1.0000e-04 eta: 15:34:05 time: 0.2848 data_time: 0.0249 memory: 8198 grad_norm: 6.8981 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0965 loss: 1.0965 2022/08/03 13:20:21 - mmengine - INFO - Epoch(train) [152][420/1879] lr: 1.0000e-04 eta: 15:33:59 time: 0.2857 data_time: 0.0234 memory: 8198 grad_norm: 6.8216 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0343 loss: 1.0343 2022/08/03 13:20:27 - mmengine - INFO - Epoch(train) [152][440/1879] lr: 1.0000e-04 eta: 15:33:53 time: 0.2851 data_time: 0.0226 memory: 8198 grad_norm: 6.8436 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9678 loss: 0.9678 2022/08/03 13:20:33 - mmengine - INFO - Epoch(train) [152][460/1879] lr: 1.0000e-04 eta: 15:33:48 time: 0.2887 data_time: 0.0237 memory: 8198 grad_norm: 6.8130 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0359 loss: 1.0359 2022/08/03 13:20:38 - mmengine - INFO - Epoch(train) [152][480/1879] lr: 1.0000e-04 eta: 15:33:42 time: 0.2818 data_time: 0.0209 memory: 8198 grad_norm: 6.8600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0340 loss: 1.0340 2022/08/03 13:20:44 - mmengine - INFO - Epoch(train) [152][500/1879] lr: 1.0000e-04 eta: 15:33:36 time: 0.2828 data_time: 0.0236 memory: 8198 grad_norm: 6.9925 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.2721 loss: 1.2721 2022/08/03 13:20:50 - mmengine - INFO - Epoch(train) [152][520/1879] lr: 1.0000e-04 eta: 15:33:31 time: 0.2922 data_time: 0.0258 memory: 8198 grad_norm: 6.5402 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0000 loss: 1.0000 2022/08/03 13:20:56 - mmengine - INFO - Epoch(train) [152][540/1879] lr: 1.0000e-04 eta: 15:33:25 time: 0.2840 data_time: 0.0244 memory: 8198 grad_norm: 6.9025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9083 loss: 0.9083 2022/08/03 13:21:01 - mmengine - INFO - Epoch(train) [152][560/1879] lr: 1.0000e-04 eta: 15:33:19 time: 0.2863 data_time: 0.0207 memory: 8198 grad_norm: 6.9923 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9680 loss: 0.9680 2022/08/03 13:21:07 - mmengine - INFO - Epoch(train) [152][580/1879] lr: 1.0000e-04 eta: 15:33:14 time: 0.2877 data_time: 0.0258 memory: 8198 grad_norm: 6.8614 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0232 loss: 1.0232 2022/08/03 13:21:13 - mmengine - INFO - Epoch(train) [152][600/1879] lr: 1.0000e-04 eta: 15:33:08 time: 0.2867 data_time: 0.0258 memory: 8198 grad_norm: 6.8244 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9649 loss: 0.9649 2022/08/03 13:21:18 - mmengine - INFO - Epoch(train) [152][620/1879] lr: 1.0000e-04 eta: 15:33:02 time: 0.2825 data_time: 0.0257 memory: 8198 grad_norm: 7.0055 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1043 loss: 1.1043 2022/08/03 13:21:24 - mmengine - INFO - Epoch(train) [152][640/1879] lr: 1.0000e-04 eta: 15:32:56 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 6.8225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9932 loss: 0.9932 2022/08/03 13:21:30 - mmengine - INFO - Epoch(train) [152][660/1879] lr: 1.0000e-04 eta: 15:32:51 time: 0.3115 data_time: 0.0240 memory: 8198 grad_norm: 6.8302 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0194 loss: 1.0194 2022/08/03 13:21:36 - mmengine - INFO - Epoch(train) [152][680/1879] lr: 1.0000e-04 eta: 15:32:45 time: 0.2822 data_time: 0.0253 memory: 8198 grad_norm: 6.9063 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9439 loss: 0.9439 2022/08/03 13:21:42 - mmengine - INFO - Epoch(train) [152][700/1879] lr: 1.0000e-04 eta: 15:32:40 time: 0.2845 data_time: 0.0227 memory: 8198 grad_norm: 6.9307 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9291 loss: 0.9291 2022/08/03 13:21:48 - mmengine - INFO - Epoch(train) [152][720/1879] lr: 1.0000e-04 eta: 15:32:35 time: 0.3300 data_time: 0.0186 memory: 8198 grad_norm: 6.8095 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8819 loss: 0.8819 2022/08/03 13:21:54 - mmengine - INFO - Epoch(train) [152][740/1879] lr: 1.0000e-04 eta: 15:32:29 time: 0.2815 data_time: 0.0211 memory: 8198 grad_norm: 7.0407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/08/03 13:22:00 - mmengine - INFO - Epoch(train) [152][760/1879] lr: 1.0000e-04 eta: 15:32:23 time: 0.2866 data_time: 0.0210 memory: 8198 grad_norm: 6.7316 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9432 loss: 0.9432 2022/08/03 13:22:06 - mmengine - INFO - Epoch(train) [152][780/1879] lr: 1.0000e-04 eta: 15:32:18 time: 0.2846 data_time: 0.0192 memory: 8198 grad_norm: 6.9071 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9989 loss: 0.9989 2022/08/03 13:22:11 - mmengine - INFO - Epoch(train) [152][800/1879] lr: 1.0000e-04 eta: 15:32:12 time: 0.2835 data_time: 0.0214 memory: 8198 grad_norm: 6.8250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9159 loss: 0.9159 2022/08/03 13:22:17 - mmengine - INFO - Epoch(train) [152][820/1879] lr: 1.0000e-04 eta: 15:32:06 time: 0.2887 data_time: 0.0254 memory: 8198 grad_norm: 7.0092 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0533 loss: 1.0533 2022/08/03 13:22:23 - mmengine - INFO - Epoch(train) [152][840/1879] lr: 1.0000e-04 eta: 15:32:00 time: 0.2840 data_time: 0.0222 memory: 8198 grad_norm: 6.9060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0453 loss: 1.0453 2022/08/03 13:22:28 - mmengine - INFO - Epoch(train) [152][860/1879] lr: 1.0000e-04 eta: 15:31:55 time: 0.2843 data_time: 0.0185 memory: 8198 grad_norm: 6.8515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/08/03 13:22:34 - mmengine - INFO - Epoch(train) [152][880/1879] lr: 1.0000e-04 eta: 15:31:49 time: 0.2870 data_time: 0.0214 memory: 8198 grad_norm: 6.8915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0252 loss: 1.0252 2022/08/03 13:22:40 - mmengine - INFO - Epoch(train) [152][900/1879] lr: 1.0000e-04 eta: 15:31:43 time: 0.2882 data_time: 0.0244 memory: 8198 grad_norm: 6.7876 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1263 loss: 1.1263 2022/08/03 13:22:46 - mmengine - INFO - Epoch(train) [152][920/1879] lr: 1.0000e-04 eta: 15:31:38 time: 0.2840 data_time: 0.0212 memory: 8198 grad_norm: 6.7639 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9799 loss: 0.9799 2022/08/03 13:22:51 - mmengine - INFO - Epoch(train) [152][940/1879] lr: 1.0000e-04 eta: 15:31:32 time: 0.2864 data_time: 0.0246 memory: 8198 grad_norm: 7.0203 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9739 loss: 0.9739 2022/08/03 13:22:57 - mmengine - INFO - Epoch(train) [152][960/1879] lr: 1.0000e-04 eta: 15:31:27 time: 0.2906 data_time: 0.0190 memory: 8198 grad_norm: 6.9751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1048 loss: 1.1048 2022/08/03 13:23:03 - mmengine - INFO - Epoch(train) [152][980/1879] lr: 1.0000e-04 eta: 15:31:21 time: 0.2840 data_time: 0.0239 memory: 8198 grad_norm: 6.8078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/08/03 13:23:09 - mmengine - INFO - Epoch(train) [152][1000/1879] lr: 1.0000e-04 eta: 15:31:15 time: 0.2846 data_time: 0.0218 memory: 8198 grad_norm: 6.9429 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9242 loss: 0.9242 2022/08/03 13:23:14 - mmengine - INFO - Epoch(train) [152][1020/1879] lr: 1.0000e-04 eta: 15:31:09 time: 0.2849 data_time: 0.0250 memory: 8198 grad_norm: 7.2446 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1485 loss: 1.1485 2022/08/03 13:23:20 - mmengine - INFO - Epoch(train) [152][1040/1879] lr: 1.0000e-04 eta: 15:31:04 time: 0.2887 data_time: 0.0207 memory: 8198 grad_norm: 6.6727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9111 loss: 0.9111 2022/08/03 13:23:26 - mmengine - INFO - Epoch(train) [152][1060/1879] lr: 1.0000e-04 eta: 15:30:58 time: 0.2959 data_time: 0.0224 memory: 8198 grad_norm: 6.8043 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/08/03 13:23:32 - mmengine - INFO - Epoch(train) [152][1080/1879] lr: 1.0000e-04 eta: 15:30:53 time: 0.2812 data_time: 0.0179 memory: 8198 grad_norm: 6.9567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2241 loss: 1.2241 2022/08/03 13:23:38 - mmengine - INFO - Epoch(train) [152][1100/1879] lr: 1.0000e-04 eta: 15:30:47 time: 0.2878 data_time: 0.0218 memory: 8198 grad_norm: 6.8750 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9888 loss: 0.9888 2022/08/03 13:23:43 - mmengine - INFO - Epoch(train) [152][1120/1879] lr: 1.0000e-04 eta: 15:30:41 time: 0.2831 data_time: 0.0217 memory: 8198 grad_norm: 6.9841 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0447 loss: 1.0447 2022/08/03 13:23:49 - mmengine - INFO - Epoch(train) [152][1140/1879] lr: 1.0000e-04 eta: 15:30:36 time: 0.2898 data_time: 0.0243 memory: 8198 grad_norm: 6.8743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0059 loss: 1.0059 2022/08/03 13:23:55 - mmengine - INFO - Epoch(train) [152][1160/1879] lr: 1.0000e-04 eta: 15:30:30 time: 0.2902 data_time: 0.0189 memory: 8198 grad_norm: 6.9682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9789 loss: 0.9789 2022/08/03 13:24:01 - mmengine - INFO - Epoch(train) [152][1180/1879] lr: 1.0000e-04 eta: 15:30:24 time: 0.2920 data_time: 0.0230 memory: 8198 grad_norm: 6.8158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8098 loss: 0.8098 2022/08/03 13:24:07 - mmengine - INFO - Epoch(train) [152][1200/1879] lr: 1.0000e-04 eta: 15:30:19 time: 0.2863 data_time: 0.0259 memory: 8198 grad_norm: 6.6778 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0629 loss: 1.0629 2022/08/03 13:24:12 - mmengine - INFO - Epoch(train) [152][1220/1879] lr: 1.0000e-04 eta: 15:30:13 time: 0.2820 data_time: 0.0199 memory: 8198 grad_norm: 6.8263 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/08/03 13:24:18 - mmengine - INFO - Epoch(train) [152][1240/1879] lr: 1.0000e-04 eta: 15:30:07 time: 0.2892 data_time: 0.0225 memory: 8198 grad_norm: 6.4950 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9828 loss: 0.9828 2022/08/03 13:24:24 - mmengine - INFO - Epoch(train) [152][1260/1879] lr: 1.0000e-04 eta: 15:30:02 time: 0.2832 data_time: 0.0215 memory: 8198 grad_norm: 7.1318 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0498 loss: 1.0498 2022/08/03 13:24:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:24:29 - mmengine - INFO - Epoch(train) [152][1280/1879] lr: 1.0000e-04 eta: 15:29:56 time: 0.2826 data_time: 0.0204 memory: 8198 grad_norm: 6.9159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0707 loss: 1.0707 2022/08/03 13:24:35 - mmengine - INFO - Epoch(train) [152][1300/1879] lr: 1.0000e-04 eta: 15:29:50 time: 0.2857 data_time: 0.0189 memory: 8198 grad_norm: 6.8899 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/08/03 13:24:42 - mmengine - INFO - Epoch(train) [152][1320/1879] lr: 1.0000e-04 eta: 15:29:45 time: 0.3301 data_time: 0.0205 memory: 8198 grad_norm: 6.9037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9697 loss: 0.9697 2022/08/03 13:24:47 - mmengine - INFO - Epoch(train) [152][1340/1879] lr: 1.0000e-04 eta: 15:29:39 time: 0.2847 data_time: 0.0210 memory: 8198 grad_norm: 6.7072 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2134 loss: 1.2134 2022/08/03 13:24:53 - mmengine - INFO - Epoch(train) [152][1360/1879] lr: 1.0000e-04 eta: 15:29:34 time: 0.2897 data_time: 0.0272 memory: 8198 grad_norm: 6.8400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/08/03 13:24:59 - mmengine - INFO - Epoch(train) [152][1380/1879] lr: 1.0000e-04 eta: 15:29:28 time: 0.2844 data_time: 0.0233 memory: 8198 grad_norm: 6.8292 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/08/03 13:25:05 - mmengine - INFO - Epoch(train) [152][1400/1879] lr: 1.0000e-04 eta: 15:29:22 time: 0.2852 data_time: 0.0201 memory: 8198 grad_norm: 6.7258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0290 loss: 1.0290 2022/08/03 13:25:11 - mmengine - INFO - Epoch(train) [152][1420/1879] lr: 1.0000e-04 eta: 15:29:17 time: 0.2898 data_time: 0.0205 memory: 8198 grad_norm: 6.8104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0502 loss: 1.0502 2022/08/03 13:25:16 - mmengine - INFO - Epoch(train) [152][1440/1879] lr: 1.0000e-04 eta: 15:29:11 time: 0.2880 data_time: 0.0211 memory: 8198 grad_norm: 6.9201 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9460 loss: 0.9460 2022/08/03 13:25:22 - mmengine - INFO - Epoch(train) [152][1460/1879] lr: 1.0000e-04 eta: 15:29:05 time: 0.2847 data_time: 0.0232 memory: 8198 grad_norm: 6.9892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/08/03 13:25:28 - mmengine - INFO - Epoch(train) [152][1480/1879] lr: 1.0000e-04 eta: 15:29:00 time: 0.2886 data_time: 0.0202 memory: 8198 grad_norm: 6.7238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1262 loss: 1.1262 2022/08/03 13:25:34 - mmengine - INFO - Epoch(train) [152][1500/1879] lr: 1.0000e-04 eta: 15:28:54 time: 0.2941 data_time: 0.0235 memory: 8198 grad_norm: 6.8146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7523 loss: 0.7523 2022/08/03 13:25:39 - mmengine - INFO - Epoch(train) [152][1520/1879] lr: 1.0000e-04 eta: 15:28:49 time: 0.2834 data_time: 0.0241 memory: 8198 grad_norm: 6.8198 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0097 loss: 1.0097 2022/08/03 13:25:45 - mmengine - INFO - Epoch(train) [152][1540/1879] lr: 1.0000e-04 eta: 15:28:43 time: 0.2830 data_time: 0.0230 memory: 8198 grad_norm: 6.9252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0661 loss: 1.0661 2022/08/03 13:25:51 - mmengine - INFO - Epoch(train) [152][1560/1879] lr: 1.0000e-04 eta: 15:28:37 time: 0.2955 data_time: 0.0194 memory: 8198 grad_norm: 7.1962 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0941 loss: 1.0941 2022/08/03 13:25:57 - mmengine - INFO - Epoch(train) [152][1580/1879] lr: 1.0000e-04 eta: 15:28:32 time: 0.2835 data_time: 0.0234 memory: 8198 grad_norm: 6.8398 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8346 loss: 0.8346 2022/08/03 13:26:02 - mmengine - INFO - Epoch(train) [152][1600/1879] lr: 1.0000e-04 eta: 15:28:26 time: 0.2805 data_time: 0.0185 memory: 8198 grad_norm: 6.8442 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0067 loss: 1.0067 2022/08/03 13:26:08 - mmengine - INFO - Epoch(train) [152][1620/1879] lr: 1.0000e-04 eta: 15:28:20 time: 0.3021 data_time: 0.0241 memory: 8198 grad_norm: 6.7650 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9352 loss: 0.9352 2022/08/03 13:26:14 - mmengine - INFO - Epoch(train) [152][1640/1879] lr: 1.0000e-04 eta: 15:28:15 time: 0.2836 data_time: 0.0238 memory: 8198 grad_norm: 6.7969 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9653 loss: 0.9653 2022/08/03 13:26:20 - mmengine - INFO - Epoch(train) [152][1660/1879] lr: 1.0000e-04 eta: 15:28:09 time: 0.2880 data_time: 0.0263 memory: 8198 grad_norm: 6.9639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9296 loss: 0.9296 2022/08/03 13:26:26 - mmengine - INFO - Epoch(train) [152][1680/1879] lr: 1.0000e-04 eta: 15:28:03 time: 0.2823 data_time: 0.0194 memory: 8198 grad_norm: 6.8341 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0588 loss: 1.0588 2022/08/03 13:26:32 - mmengine - INFO - Epoch(train) [152][1700/1879] lr: 1.0000e-04 eta: 15:27:58 time: 0.3020 data_time: 0.0228 memory: 8198 grad_norm: 6.9628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0972 loss: 1.0972 2022/08/03 13:26:37 - mmengine - INFO - Epoch(train) [152][1720/1879] lr: 1.0000e-04 eta: 15:27:52 time: 0.2822 data_time: 0.0193 memory: 8198 grad_norm: 6.8559 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9141 loss: 0.9141 2022/08/03 13:26:43 - mmengine - INFO - Epoch(train) [152][1740/1879] lr: 1.0000e-04 eta: 15:27:46 time: 0.2850 data_time: 0.0205 memory: 8198 grad_norm: 6.5886 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8437 loss: 0.8437 2022/08/03 13:26:49 - mmengine - INFO - Epoch(train) [152][1760/1879] lr: 1.0000e-04 eta: 15:27:41 time: 0.2982 data_time: 0.0207 memory: 8198 grad_norm: 6.7879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/08/03 13:26:55 - mmengine - INFO - Epoch(train) [152][1780/1879] lr: 1.0000e-04 eta: 15:27:35 time: 0.2812 data_time: 0.0223 memory: 8198 grad_norm: 6.9026 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/08/03 13:27:00 - mmengine - INFO - Epoch(train) [152][1800/1879] lr: 1.0000e-04 eta: 15:27:30 time: 0.2901 data_time: 0.0179 memory: 8198 grad_norm: 7.0134 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0436 loss: 1.0436 2022/08/03 13:27:06 - mmengine - INFO - Epoch(train) [152][1820/1879] lr: 1.0000e-04 eta: 15:27:24 time: 0.2886 data_time: 0.0217 memory: 8198 grad_norm: 6.7231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0089 loss: 1.0089 2022/08/03 13:27:12 - mmengine - INFO - Epoch(train) [152][1840/1879] lr: 1.0000e-04 eta: 15:27:18 time: 0.2850 data_time: 0.0225 memory: 8198 grad_norm: 6.8851 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1072 loss: 1.1072 2022/08/03 13:27:18 - mmengine - INFO - Epoch(train) [152][1860/1879] lr: 1.0000e-04 eta: 15:27:13 time: 0.2952 data_time: 0.0248 memory: 8198 grad_norm: 6.7308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0077 loss: 1.0077 2022/08/03 13:27:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:27:23 - mmengine - INFO - Epoch(train) [152][1879/1879] lr: 1.0000e-04 eta: 15:27:13 time: 0.2575 data_time: 0.0143 memory: 8198 grad_norm: 7.0172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/08/03 13:27:23 - mmengine - INFO - Saving checkpoint at 152 epochs 2022/08/03 13:27:34 - mmengine - INFO - Epoch(train) [153][20/1879] lr: 1.0000e-04 eta: 15:26:59 time: 0.3775 data_time: 0.1171 memory: 8198 grad_norm: 7.0944 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9484 loss: 0.9484 2022/08/03 13:27:39 - mmengine - INFO - Epoch(train) [153][40/1879] lr: 1.0000e-04 eta: 15:26:54 time: 0.2939 data_time: 0.0215 memory: 8198 grad_norm: 6.9343 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1727 loss: 1.1727 2022/08/03 13:27:45 - mmengine - INFO - Epoch(train) [153][60/1879] lr: 1.0000e-04 eta: 15:26:48 time: 0.2836 data_time: 0.0180 memory: 8198 grad_norm: 6.9407 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0929 loss: 1.0929 2022/08/03 13:27:51 - mmengine - INFO - Epoch(train) [153][80/1879] lr: 1.0000e-04 eta: 15:26:42 time: 0.2837 data_time: 0.0255 memory: 8198 grad_norm: 6.9060 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9370 loss: 0.9370 2022/08/03 13:27:57 - mmengine - INFO - Epoch(train) [153][100/1879] lr: 1.0000e-04 eta: 15:26:37 time: 0.3074 data_time: 0.0204 memory: 8198 grad_norm: 7.0897 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.0338 loss: 1.0338 2022/08/03 13:28:03 - mmengine - INFO - Epoch(train) [153][120/1879] lr: 1.0000e-04 eta: 15:26:31 time: 0.2787 data_time: 0.0209 memory: 8198 grad_norm: 6.7390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/08/03 13:28:08 - mmengine - INFO - Epoch(train) [153][140/1879] lr: 1.0000e-04 eta: 15:26:25 time: 0.2850 data_time: 0.0199 memory: 8198 grad_norm: 7.1122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1154 loss: 1.1154 2022/08/03 13:28:14 - mmengine - INFO - Epoch(train) [153][160/1879] lr: 1.0000e-04 eta: 15:26:20 time: 0.2856 data_time: 0.0270 memory: 8198 grad_norm: 6.9157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0131 loss: 1.0131 2022/08/03 13:28:20 - mmengine - INFO - Epoch(train) [153][180/1879] lr: 1.0000e-04 eta: 15:26:14 time: 0.2893 data_time: 0.0186 memory: 8198 grad_norm: 6.6905 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/03 13:28:26 - mmengine - INFO - Epoch(train) [153][200/1879] lr: 1.0000e-04 eta: 15:26:08 time: 0.2838 data_time: 0.0228 memory: 8198 grad_norm: 6.7054 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9566 loss: 0.9566 2022/08/03 13:28:31 - mmengine - INFO - Epoch(train) [153][220/1879] lr: 1.0000e-04 eta: 15:26:03 time: 0.2822 data_time: 0.0213 memory: 8198 grad_norm: 6.9314 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0753 loss: 1.0753 2022/08/03 13:28:38 - mmengine - INFO - Epoch(train) [153][240/1879] lr: 1.0000e-04 eta: 15:25:57 time: 0.3156 data_time: 0.0222 memory: 8198 grad_norm: 6.7741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9979 loss: 0.9979 2022/08/03 13:28:43 - mmengine - INFO - Epoch(train) [153][260/1879] lr: 1.0000e-04 eta: 15:25:52 time: 0.2790 data_time: 0.0191 memory: 8198 grad_norm: 6.8147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1314 loss: 1.1314 2022/08/03 13:28:49 - mmengine - INFO - Epoch(train) [153][280/1879] lr: 1.0000e-04 eta: 15:25:46 time: 0.2977 data_time: 0.0213 memory: 8198 grad_norm: 6.9051 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0040 loss: 1.0040 2022/08/03 13:28:55 - mmengine - INFO - Epoch(train) [153][300/1879] lr: 1.0000e-04 eta: 15:25:40 time: 0.2928 data_time: 0.0198 memory: 8198 grad_norm: 6.8455 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0291 loss: 1.0291 2022/08/03 13:29:01 - mmengine - INFO - Epoch(train) [153][320/1879] lr: 1.0000e-04 eta: 15:25:35 time: 0.3006 data_time: 0.0213 memory: 8198 grad_norm: 6.8390 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8845 loss: 0.8845 2022/08/03 13:29:07 - mmengine - INFO - Epoch(train) [153][340/1879] lr: 1.0000e-04 eta: 15:25:29 time: 0.2844 data_time: 0.0212 memory: 8198 grad_norm: 6.8226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0818 loss: 1.0818 2022/08/03 13:29:13 - mmengine - INFO - Epoch(train) [153][360/1879] lr: 1.0000e-04 eta: 15:25:24 time: 0.2864 data_time: 0.0260 memory: 8198 grad_norm: 6.5446 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8150 loss: 0.8150 2022/08/03 13:29:19 - mmengine - INFO - Epoch(train) [153][380/1879] lr: 1.0000e-04 eta: 15:25:18 time: 0.3058 data_time: 0.0253 memory: 8198 grad_norm: 6.6426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/08/03 13:29:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:29:24 - mmengine - INFO - Epoch(train) [153][400/1879] lr: 1.0000e-04 eta: 15:25:12 time: 0.2820 data_time: 0.0216 memory: 8198 grad_norm: 6.8431 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/08/03 13:29:30 - mmengine - INFO - Epoch(train) [153][420/1879] lr: 1.0000e-04 eta: 15:25:07 time: 0.2972 data_time: 0.0213 memory: 8198 grad_norm: 6.8001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0908 loss: 1.0908 2022/08/03 13:29:36 - mmengine - INFO - Epoch(train) [153][440/1879] lr: 1.0000e-04 eta: 15:25:01 time: 0.2843 data_time: 0.0210 memory: 8198 grad_norm: 6.8085 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0331 loss: 1.0331 2022/08/03 13:29:42 - mmengine - INFO - Epoch(train) [153][460/1879] lr: 1.0000e-04 eta: 15:24:56 time: 0.2909 data_time: 0.0227 memory: 8198 grad_norm: 7.0734 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0398 loss: 1.0398 2022/08/03 13:29:48 - mmengine - INFO - Epoch(train) [153][480/1879] lr: 1.0000e-04 eta: 15:24:50 time: 0.3041 data_time: 0.0183 memory: 8198 grad_norm: 6.8848 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9435 loss: 0.9435 2022/08/03 13:29:54 - mmengine - INFO - Epoch(train) [153][500/1879] lr: 1.0000e-04 eta: 15:24:44 time: 0.2811 data_time: 0.0214 memory: 8198 grad_norm: 6.6469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/08/03 13:29:59 - mmengine - INFO - Epoch(train) [153][520/1879] lr: 1.0000e-04 eta: 15:24:39 time: 0.2851 data_time: 0.0204 memory: 8198 grad_norm: 7.0507 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0074 loss: 1.0074 2022/08/03 13:30:05 - mmengine - INFO - Epoch(train) [153][540/1879] lr: 1.0000e-04 eta: 15:24:33 time: 0.2870 data_time: 0.0233 memory: 8198 grad_norm: 6.9547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0701 loss: 1.0701 2022/08/03 13:30:11 - mmengine - INFO - Epoch(train) [153][560/1879] lr: 1.0000e-04 eta: 15:24:27 time: 0.2893 data_time: 0.0210 memory: 8198 grad_norm: 7.2175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0063 loss: 1.0063 2022/08/03 13:30:17 - mmengine - INFO - Epoch(train) [153][580/1879] lr: 1.0000e-04 eta: 15:24:22 time: 0.2843 data_time: 0.0262 memory: 8198 grad_norm: 6.7655 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9443 loss: 0.9443 2022/08/03 13:30:22 - mmengine - INFO - Epoch(train) [153][600/1879] lr: 1.0000e-04 eta: 15:24:16 time: 0.2840 data_time: 0.0222 memory: 8198 grad_norm: 6.8062 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9714 loss: 0.9714 2022/08/03 13:30:28 - mmengine - INFO - Epoch(train) [153][620/1879] lr: 1.0000e-04 eta: 15:24:10 time: 0.2912 data_time: 0.0245 memory: 8198 grad_norm: 6.8646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0820 loss: 1.0820 2022/08/03 13:30:34 - mmengine - INFO - Epoch(train) [153][640/1879] lr: 1.0000e-04 eta: 15:24:05 time: 0.2853 data_time: 0.0253 memory: 8198 grad_norm: 6.6296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8496 loss: 0.8496 2022/08/03 13:30:40 - mmengine - INFO - Epoch(train) [153][660/1879] lr: 1.0000e-04 eta: 15:23:59 time: 0.2852 data_time: 0.0229 memory: 8198 grad_norm: 6.9062 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1256 loss: 1.1256 2022/08/03 13:30:45 - mmengine - INFO - Epoch(train) [153][680/1879] lr: 1.0000e-04 eta: 15:23:53 time: 0.2828 data_time: 0.0215 memory: 8198 grad_norm: 6.9990 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8988 loss: 0.8988 2022/08/03 13:30:51 - mmengine - INFO - Epoch(train) [153][700/1879] lr: 1.0000e-04 eta: 15:23:48 time: 0.2838 data_time: 0.0221 memory: 8198 grad_norm: 7.0622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0773 loss: 1.0773 2022/08/03 13:30:57 - mmengine - INFO - Epoch(train) [153][720/1879] lr: 1.0000e-04 eta: 15:23:42 time: 0.2852 data_time: 0.0209 memory: 8198 grad_norm: 6.7671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/08/03 13:31:02 - mmengine - INFO - Epoch(train) [153][740/1879] lr: 1.0000e-04 eta: 15:23:36 time: 0.2850 data_time: 0.0251 memory: 8198 grad_norm: 6.8261 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0230 loss: 1.0230 2022/08/03 13:31:08 - mmengine - INFO - Epoch(train) [153][760/1879] lr: 1.0000e-04 eta: 15:23:31 time: 0.2837 data_time: 0.0239 memory: 8198 grad_norm: 6.9014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9099 loss: 0.9099 2022/08/03 13:31:14 - mmengine - INFO - Epoch(train) [153][780/1879] lr: 1.0000e-04 eta: 15:23:25 time: 0.2833 data_time: 0.0231 memory: 8198 grad_norm: 6.8377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9261 loss: 0.9261 2022/08/03 13:31:20 - mmengine - INFO - Epoch(train) [153][800/1879] lr: 1.0000e-04 eta: 15:23:19 time: 0.2886 data_time: 0.0222 memory: 8198 grad_norm: 6.8971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8593 loss: 0.8593 2022/08/03 13:31:25 - mmengine - INFO - Epoch(train) [153][820/1879] lr: 1.0000e-04 eta: 15:23:14 time: 0.2845 data_time: 0.0248 memory: 8198 grad_norm: 6.4807 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9453 loss: 0.9453 2022/08/03 13:31:31 - mmengine - INFO - Epoch(train) [153][840/1879] lr: 1.0000e-04 eta: 15:23:08 time: 0.2896 data_time: 0.0257 memory: 8198 grad_norm: 6.7179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/08/03 13:31:37 - mmengine - INFO - Epoch(train) [153][860/1879] lr: 1.0000e-04 eta: 15:23:02 time: 0.2911 data_time: 0.0201 memory: 8198 grad_norm: 6.6396 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0643 loss: 1.0643 2022/08/03 13:31:43 - mmengine - INFO - Epoch(train) [153][880/1879] lr: 1.0000e-04 eta: 15:22:57 time: 0.2832 data_time: 0.0214 memory: 8198 grad_norm: 6.8918 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9687 loss: 0.9687 2022/08/03 13:31:49 - mmengine - INFO - Epoch(train) [153][900/1879] lr: 1.0000e-04 eta: 15:22:51 time: 0.2905 data_time: 0.0277 memory: 8198 grad_norm: 6.8660 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0854 loss: 1.0854 2022/08/03 13:31:54 - mmengine - INFO - Epoch(train) [153][920/1879] lr: 1.0000e-04 eta: 15:22:45 time: 0.2844 data_time: 0.0226 memory: 8198 grad_norm: 6.7841 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0638 loss: 1.0638 2022/08/03 13:32:00 - mmengine - INFO - Epoch(train) [153][940/1879] lr: 1.0000e-04 eta: 15:22:40 time: 0.2859 data_time: 0.0216 memory: 8198 grad_norm: 6.9325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0667 loss: 1.0667 2022/08/03 13:32:06 - mmengine - INFO - Epoch(train) [153][960/1879] lr: 1.0000e-04 eta: 15:22:34 time: 0.2837 data_time: 0.0225 memory: 8198 grad_norm: 6.7887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1228 loss: 1.1228 2022/08/03 13:32:11 - mmengine - INFO - Epoch(train) [153][980/1879] lr: 1.0000e-04 eta: 15:22:28 time: 0.2875 data_time: 0.0241 memory: 8198 grad_norm: 6.7419 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1413 loss: 1.1413 2022/08/03 13:32:17 - mmengine - INFO - Epoch(train) [153][1000/1879] lr: 1.0000e-04 eta: 15:22:23 time: 0.2974 data_time: 0.0257 memory: 8198 grad_norm: 6.5536 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8648 loss: 0.8648 2022/08/03 13:32:23 - mmengine - INFO - Epoch(train) [153][1020/1879] lr: 1.0000e-04 eta: 15:22:17 time: 0.2805 data_time: 0.0200 memory: 8198 grad_norm: 7.0464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/08/03 13:32:29 - mmengine - INFO - Epoch(train) [153][1040/1879] lr: 1.0000e-04 eta: 15:22:11 time: 0.2886 data_time: 0.0240 memory: 8198 grad_norm: 6.9559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9725 loss: 0.9725 2022/08/03 13:32:35 - mmengine - INFO - Epoch(train) [153][1060/1879] lr: 1.0000e-04 eta: 15:22:06 time: 0.2839 data_time: 0.0215 memory: 8198 grad_norm: 6.6800 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0477 loss: 1.0477 2022/08/03 13:32:40 - mmengine - INFO - Epoch(train) [153][1080/1879] lr: 1.0000e-04 eta: 15:22:00 time: 0.2898 data_time: 0.0241 memory: 8198 grad_norm: 6.7508 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0097 loss: 1.0097 2022/08/03 13:32:46 - mmengine - INFO - Epoch(train) [153][1100/1879] lr: 1.0000e-04 eta: 15:21:54 time: 0.2832 data_time: 0.0205 memory: 8198 grad_norm: 6.9416 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/08/03 13:32:52 - mmengine - INFO - Epoch(train) [153][1120/1879] lr: 1.0000e-04 eta: 15:21:49 time: 0.2854 data_time: 0.0270 memory: 8198 grad_norm: 6.8750 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0166 loss: 1.0166 2022/08/03 13:32:58 - mmengine - INFO - Epoch(train) [153][1140/1879] lr: 1.0000e-04 eta: 15:21:43 time: 0.2920 data_time: 0.0245 memory: 8198 grad_norm: 7.0246 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9702 loss: 0.9702 2022/08/03 13:33:03 - mmengine - INFO - Epoch(train) [153][1160/1879] lr: 1.0000e-04 eta: 15:21:37 time: 0.2845 data_time: 0.0211 memory: 8198 grad_norm: 6.9642 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/08/03 13:33:09 - mmengine - INFO - Epoch(train) [153][1180/1879] lr: 1.0000e-04 eta: 15:21:32 time: 0.2945 data_time: 0.0242 memory: 8198 grad_norm: 6.9091 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/08/03 13:33:15 - mmengine - INFO - Epoch(train) [153][1200/1879] lr: 1.0000e-04 eta: 15:21:26 time: 0.2869 data_time: 0.0180 memory: 8198 grad_norm: 6.8349 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9180 loss: 0.9180 2022/08/03 13:33:21 - mmengine - INFO - Epoch(train) [153][1220/1879] lr: 1.0000e-04 eta: 15:21:20 time: 0.2836 data_time: 0.0280 memory: 8198 grad_norm: 6.9569 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/08/03 13:33:26 - mmengine - INFO - Epoch(train) [153][1240/1879] lr: 1.0000e-04 eta: 15:21:15 time: 0.2861 data_time: 0.0213 memory: 8198 grad_norm: 7.0523 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0871 loss: 1.0871 2022/08/03 13:33:32 - mmengine - INFO - Epoch(train) [153][1260/1879] lr: 1.0000e-04 eta: 15:21:09 time: 0.2990 data_time: 0.0233 memory: 8198 grad_norm: 7.0256 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9718 loss: 0.9718 2022/08/03 13:33:38 - mmengine - INFO - Epoch(train) [153][1280/1879] lr: 1.0000e-04 eta: 15:21:04 time: 0.2886 data_time: 0.0260 memory: 8198 grad_norm: 6.7762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1883 loss: 1.1883 2022/08/03 13:33:44 - mmengine - INFO - Epoch(train) [153][1300/1879] lr: 1.0000e-04 eta: 15:20:58 time: 0.2853 data_time: 0.0213 memory: 8198 grad_norm: 6.8644 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/08/03 13:33:50 - mmengine - INFO - Epoch(train) [153][1320/1879] lr: 1.0000e-04 eta: 15:20:52 time: 0.2937 data_time: 0.0228 memory: 8198 grad_norm: 6.9766 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1124 loss: 1.1124 2022/08/03 13:33:56 - mmengine - INFO - Epoch(train) [153][1340/1879] lr: 1.0000e-04 eta: 15:20:47 time: 0.2856 data_time: 0.0234 memory: 8198 grad_norm: 6.7338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7972 loss: 0.7972 2022/08/03 13:34:01 - mmengine - INFO - Epoch(train) [153][1360/1879] lr: 1.0000e-04 eta: 15:20:41 time: 0.2902 data_time: 0.0314 memory: 8198 grad_norm: 6.9527 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0015 loss: 1.0015 2022/08/03 13:34:08 - mmengine - INFO - Epoch(train) [153][1380/1879] lr: 1.0000e-04 eta: 15:20:36 time: 0.3085 data_time: 0.0258 memory: 8198 grad_norm: 6.6113 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8611 loss: 0.8611 2022/08/03 13:34:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:34:13 - mmengine - INFO - Epoch(train) [153][1400/1879] lr: 1.0000e-04 eta: 15:20:30 time: 0.2818 data_time: 0.0179 memory: 8198 grad_norm: 6.7674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/08/03 13:34:19 - mmengine - INFO - Epoch(train) [153][1420/1879] lr: 1.0000e-04 eta: 15:20:24 time: 0.2898 data_time: 0.0201 memory: 8198 grad_norm: 6.9410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0154 loss: 1.0154 2022/08/03 13:34:25 - mmengine - INFO - Epoch(train) [153][1440/1879] lr: 1.0000e-04 eta: 15:20:19 time: 0.2856 data_time: 0.0243 memory: 8198 grad_norm: 6.9228 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0010 loss: 1.0010 2022/08/03 13:34:31 - mmengine - INFO - Epoch(train) [153][1460/1879] lr: 1.0000e-04 eta: 15:20:13 time: 0.2876 data_time: 0.0215 memory: 8198 grad_norm: 6.7974 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1590 loss: 1.1590 2022/08/03 13:34:36 - mmengine - INFO - Epoch(train) [153][1480/1879] lr: 1.0000e-04 eta: 15:20:07 time: 0.2825 data_time: 0.0185 memory: 8198 grad_norm: 6.7359 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/08/03 13:34:42 - mmengine - INFO - Epoch(train) [153][1500/1879] lr: 1.0000e-04 eta: 15:20:02 time: 0.2856 data_time: 0.0197 memory: 8198 grad_norm: 6.8199 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0483 loss: 1.0483 2022/08/03 13:34:48 - mmengine - INFO - Epoch(train) [153][1520/1879] lr: 1.0000e-04 eta: 15:19:56 time: 0.2921 data_time: 0.0218 memory: 8198 grad_norm: 6.9750 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9118 loss: 0.9118 2022/08/03 13:34:54 - mmengine - INFO - Epoch(train) [153][1540/1879] lr: 1.0000e-04 eta: 15:19:50 time: 0.2841 data_time: 0.0234 memory: 8198 grad_norm: 6.7147 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9516 loss: 0.9516 2022/08/03 13:34:59 - mmengine - INFO - Epoch(train) [153][1560/1879] lr: 1.0000e-04 eta: 15:19:45 time: 0.2883 data_time: 0.0233 memory: 8198 grad_norm: 6.8697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9815 loss: 0.9815 2022/08/03 13:35:05 - mmengine - INFO - Epoch(train) [153][1580/1879] lr: 1.0000e-04 eta: 15:19:39 time: 0.2859 data_time: 0.0229 memory: 8198 grad_norm: 6.8971 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1761 loss: 1.1761 2022/08/03 13:35:11 - mmengine - INFO - Epoch(train) [153][1600/1879] lr: 1.0000e-04 eta: 15:19:33 time: 0.2878 data_time: 0.0259 memory: 8198 grad_norm: 6.8746 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0643 loss: 1.0643 2022/08/03 13:35:17 - mmengine - INFO - Epoch(train) [153][1620/1879] lr: 1.0000e-04 eta: 15:19:28 time: 0.2861 data_time: 0.0283 memory: 8198 grad_norm: 6.8450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8996 loss: 0.8996 2022/08/03 13:35:22 - mmengine - INFO - Epoch(train) [153][1640/1879] lr: 1.0000e-04 eta: 15:19:22 time: 0.2847 data_time: 0.0213 memory: 8198 grad_norm: 6.7618 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0630 loss: 1.0630 2022/08/03 13:35:28 - mmengine - INFO - Epoch(train) [153][1660/1879] lr: 1.0000e-04 eta: 15:19:16 time: 0.2856 data_time: 0.0265 memory: 8198 grad_norm: 6.9450 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/08/03 13:35:34 - mmengine - INFO - Epoch(train) [153][1680/1879] lr: 1.0000e-04 eta: 15:19:11 time: 0.2906 data_time: 0.0263 memory: 8198 grad_norm: 6.8675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8627 loss: 0.8627 2022/08/03 13:35:40 - mmengine - INFO - Epoch(train) [153][1700/1879] lr: 1.0000e-04 eta: 15:19:05 time: 0.3023 data_time: 0.0215 memory: 8198 grad_norm: 7.0519 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0184 loss: 1.0184 2022/08/03 13:35:46 - mmengine - INFO - Epoch(train) [153][1720/1879] lr: 1.0000e-04 eta: 15:18:59 time: 0.2844 data_time: 0.0259 memory: 8198 grad_norm: 6.8920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9791 loss: 0.9791 2022/08/03 13:35:51 - mmengine - INFO - Epoch(train) [153][1740/1879] lr: 1.0000e-04 eta: 15:18:54 time: 0.2903 data_time: 0.0251 memory: 8198 grad_norm: 7.0408 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0414 loss: 1.0414 2022/08/03 13:35:57 - mmengine - INFO - Epoch(train) [153][1760/1879] lr: 1.0000e-04 eta: 15:18:48 time: 0.2904 data_time: 0.0229 memory: 8198 grad_norm: 6.9973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0661 loss: 1.0661 2022/08/03 13:36:03 - mmengine - INFO - Epoch(train) [153][1780/1879] lr: 1.0000e-04 eta: 15:18:43 time: 0.2824 data_time: 0.0229 memory: 8198 grad_norm: 6.7993 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1778 loss: 1.1778 2022/08/03 13:36:09 - mmengine - INFO - Epoch(train) [153][1800/1879] lr: 1.0000e-04 eta: 15:18:37 time: 0.2865 data_time: 0.0248 memory: 8198 grad_norm: 7.0004 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/03 13:36:14 - mmengine - INFO - Epoch(train) [153][1820/1879] lr: 1.0000e-04 eta: 15:18:31 time: 0.2837 data_time: 0.0210 memory: 8198 grad_norm: 6.9025 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/08/03 13:36:20 - mmengine - INFO - Epoch(train) [153][1840/1879] lr: 1.0000e-04 eta: 15:18:25 time: 0.2851 data_time: 0.0208 memory: 8198 grad_norm: 7.0531 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2143 loss: 1.2143 2022/08/03 13:36:26 - mmengine - INFO - Epoch(train) [153][1860/1879] lr: 1.0000e-04 eta: 15:18:20 time: 0.2803 data_time: 0.0181 memory: 8198 grad_norm: 6.9830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/08/03 13:36:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:36:31 - mmengine - INFO - Epoch(train) [153][1879/1879] lr: 1.0000e-04 eta: 15:18:20 time: 0.2587 data_time: 0.0140 memory: 8198 grad_norm: 6.9924 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9765 loss: 0.9765 2022/08/03 13:36:39 - mmengine - INFO - Epoch(train) [154][20/1879] lr: 1.0000e-04 eta: 15:18:07 time: 0.4131 data_time: 0.1166 memory: 8198 grad_norm: 6.9802 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9327 loss: 0.9327 2022/08/03 13:36:45 - mmengine - INFO - Epoch(train) [154][40/1879] lr: 1.0000e-04 eta: 15:18:01 time: 0.2864 data_time: 0.0166 memory: 8198 grad_norm: 6.8818 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9650 loss: 0.9650 2022/08/03 13:36:51 - mmengine - INFO - Epoch(train) [154][60/1879] lr: 1.0000e-04 eta: 15:17:56 time: 0.3045 data_time: 0.0222 memory: 8198 grad_norm: 7.0280 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9188 loss: 0.9188 2022/08/03 13:36:57 - mmengine - INFO - Epoch(train) [154][80/1879] lr: 1.0000e-04 eta: 15:17:50 time: 0.2866 data_time: 0.0215 memory: 8198 grad_norm: 6.9347 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/08/03 13:37:02 - mmengine - INFO - Epoch(train) [154][100/1879] lr: 1.0000e-04 eta: 15:17:44 time: 0.2817 data_time: 0.0228 memory: 8198 grad_norm: 6.8934 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/08/03 13:37:08 - mmengine - INFO - Epoch(train) [154][120/1879] lr: 1.0000e-04 eta: 15:17:39 time: 0.3025 data_time: 0.0259 memory: 8198 grad_norm: 6.9873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8866 loss: 0.8866 2022/08/03 13:37:14 - mmengine - INFO - Epoch(train) [154][140/1879] lr: 1.0000e-04 eta: 15:17:33 time: 0.2834 data_time: 0.0248 memory: 8198 grad_norm: 6.9160 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1003 loss: 1.1003 2022/08/03 13:37:20 - mmengine - INFO - Epoch(train) [154][160/1879] lr: 1.0000e-04 eta: 15:17:27 time: 0.2869 data_time: 0.0250 memory: 8198 grad_norm: 6.8978 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8848 loss: 0.8848 2022/08/03 13:37:26 - mmengine - INFO - Epoch(train) [154][180/1879] lr: 1.0000e-04 eta: 15:17:22 time: 0.2967 data_time: 0.0232 memory: 8198 grad_norm: 6.9099 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9177 loss: 0.9177 2022/08/03 13:37:31 - mmengine - INFO - Epoch(train) [154][200/1879] lr: 1.0000e-04 eta: 15:17:16 time: 0.2812 data_time: 0.0233 memory: 8198 grad_norm: 6.7210 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/03 13:37:37 - mmengine - INFO - Epoch(train) [154][220/1879] lr: 1.0000e-04 eta: 15:17:10 time: 0.2904 data_time: 0.0255 memory: 8198 grad_norm: 6.8384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0863 loss: 1.0863 2022/08/03 13:37:43 - mmengine - INFO - Epoch(train) [154][240/1879] lr: 1.0000e-04 eta: 15:17:05 time: 0.2829 data_time: 0.0249 memory: 8198 grad_norm: 6.7370 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0681 loss: 1.0681 2022/08/03 13:37:49 - mmengine - INFO - Epoch(train) [154][260/1879] lr: 1.0000e-04 eta: 15:16:59 time: 0.2862 data_time: 0.0199 memory: 8198 grad_norm: 6.9071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/08/03 13:37:54 - mmengine - INFO - Epoch(train) [154][280/1879] lr: 1.0000e-04 eta: 15:16:53 time: 0.2854 data_time: 0.0262 memory: 8198 grad_norm: 7.0428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9820 loss: 0.9820 2022/08/03 13:38:00 - mmengine - INFO - Epoch(train) [154][300/1879] lr: 1.0000e-04 eta: 15:16:48 time: 0.2895 data_time: 0.0279 memory: 8198 grad_norm: 6.9508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8880 loss: 0.8880 2022/08/03 13:38:06 - mmengine - INFO - Epoch(train) [154][320/1879] lr: 1.0000e-04 eta: 15:16:42 time: 0.2838 data_time: 0.0216 memory: 8198 grad_norm: 6.6478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7664 loss: 0.7664 2022/08/03 13:38:12 - mmengine - INFO - Epoch(train) [154][340/1879] lr: 1.0000e-04 eta: 15:16:36 time: 0.2840 data_time: 0.0233 memory: 8198 grad_norm: 7.0793 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/08/03 13:38:17 - mmengine - INFO - Epoch(train) [154][360/1879] lr: 1.0000e-04 eta: 15:16:31 time: 0.2916 data_time: 0.0272 memory: 8198 grad_norm: 7.0595 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1082 loss: 1.1082 2022/08/03 13:38:23 - mmengine - INFO - Epoch(train) [154][380/1879] lr: 1.0000e-04 eta: 15:16:25 time: 0.2829 data_time: 0.0195 memory: 8198 grad_norm: 6.9309 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2122 loss: 1.2122 2022/08/03 13:38:29 - mmengine - INFO - Epoch(train) [154][400/1879] lr: 1.0000e-04 eta: 15:16:19 time: 0.2849 data_time: 0.0236 memory: 8198 grad_norm: 7.0822 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2964 loss: 1.2964 2022/08/03 13:38:35 - mmengine - INFO - Epoch(train) [154][420/1879] lr: 1.0000e-04 eta: 15:16:14 time: 0.2840 data_time: 0.0227 memory: 8198 grad_norm: 6.7952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0474 loss: 1.0474 2022/08/03 13:38:40 - mmengine - INFO - Epoch(train) [154][440/1879] lr: 1.0000e-04 eta: 15:16:08 time: 0.2883 data_time: 0.0285 memory: 8198 grad_norm: 6.7434 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9123 loss: 0.9123 2022/08/03 13:38:46 - mmengine - INFO - Epoch(train) [154][460/1879] lr: 1.0000e-04 eta: 15:16:02 time: 0.2855 data_time: 0.0179 memory: 8198 grad_norm: 6.6761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9195 loss: 0.9195 2022/08/03 13:38:52 - mmengine - INFO - Epoch(train) [154][480/1879] lr: 1.0000e-04 eta: 15:15:57 time: 0.2940 data_time: 0.0219 memory: 8198 grad_norm: 6.7997 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/08/03 13:38:58 - mmengine - INFO - Epoch(train) [154][500/1879] lr: 1.0000e-04 eta: 15:15:51 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 6.6281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8352 loss: 0.8352 2022/08/03 13:39:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:39:03 - mmengine - INFO - Epoch(train) [154][520/1879] lr: 1.0000e-04 eta: 15:15:45 time: 0.2816 data_time: 0.0195 memory: 8198 grad_norm: 6.8507 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9278 loss: 0.9278 2022/08/03 13:39:09 - mmengine - INFO - Epoch(train) [154][540/1879] lr: 1.0000e-04 eta: 15:15:40 time: 0.2869 data_time: 0.0206 memory: 8198 grad_norm: 6.9351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9148 loss: 0.9148 2022/08/03 13:39:15 - mmengine - INFO - Epoch(train) [154][560/1879] lr: 1.0000e-04 eta: 15:15:34 time: 0.2964 data_time: 0.0179 memory: 8198 grad_norm: 6.7254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8124 loss: 0.8124 2022/08/03 13:39:21 - mmengine - INFO - Epoch(train) [154][580/1879] lr: 1.0000e-04 eta: 15:15:29 time: 0.2891 data_time: 0.0233 memory: 8198 grad_norm: 6.7698 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/08/03 13:39:27 - mmengine - INFO - Epoch(train) [154][600/1879] lr: 1.0000e-04 eta: 15:15:23 time: 0.2851 data_time: 0.0252 memory: 8198 grad_norm: 6.8858 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9369 loss: 0.9369 2022/08/03 13:39:32 - mmengine - INFO - Epoch(train) [154][620/1879] lr: 1.0000e-04 eta: 15:15:17 time: 0.2879 data_time: 0.0265 memory: 8198 grad_norm: 6.7813 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0964 loss: 1.0964 2022/08/03 13:39:38 - mmengine - INFO - Epoch(train) [154][640/1879] lr: 1.0000e-04 eta: 15:15:12 time: 0.2942 data_time: 0.0239 memory: 8198 grad_norm: 6.9844 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/08/03 13:39:44 - mmengine - INFO - Epoch(train) [154][660/1879] lr: 1.0000e-04 eta: 15:15:06 time: 0.2826 data_time: 0.0229 memory: 8198 grad_norm: 6.8084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9761 loss: 0.9761 2022/08/03 13:39:50 - mmengine - INFO - Epoch(train) [154][680/1879] lr: 1.0000e-04 eta: 15:15:00 time: 0.2880 data_time: 0.0206 memory: 8198 grad_norm: 6.7383 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8772 loss: 0.8772 2022/08/03 13:39:55 - mmengine - INFO - Epoch(train) [154][700/1879] lr: 1.0000e-04 eta: 15:14:55 time: 0.2827 data_time: 0.0237 memory: 8198 grad_norm: 6.7384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/08/03 13:40:01 - mmengine - INFO - Epoch(train) [154][720/1879] lr: 1.0000e-04 eta: 15:14:49 time: 0.2834 data_time: 0.0219 memory: 8198 grad_norm: 6.8552 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/08/03 13:40:07 - mmengine - INFO - Epoch(train) [154][740/1879] lr: 1.0000e-04 eta: 15:14:43 time: 0.2846 data_time: 0.0200 memory: 8198 grad_norm: 6.9261 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9122 loss: 0.9122 2022/08/03 13:40:13 - mmengine - INFO - Epoch(train) [154][760/1879] lr: 1.0000e-04 eta: 15:14:38 time: 0.3002 data_time: 0.0218 memory: 8198 grad_norm: 6.6972 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/08/03 13:40:19 - mmengine - INFO - Epoch(train) [154][780/1879] lr: 1.0000e-04 eta: 15:14:32 time: 0.2842 data_time: 0.0201 memory: 8198 grad_norm: 7.0479 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1788 loss: 1.1788 2022/08/03 13:40:24 - mmengine - INFO - Epoch(train) [154][800/1879] lr: 1.0000e-04 eta: 15:14:26 time: 0.2900 data_time: 0.0298 memory: 8198 grad_norm: 7.1813 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0231 loss: 1.0231 2022/08/03 13:40:30 - mmengine - INFO - Epoch(train) [154][820/1879] lr: 1.0000e-04 eta: 15:14:21 time: 0.2886 data_time: 0.0217 memory: 8198 grad_norm: 6.8485 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0395 loss: 1.0395 2022/08/03 13:40:36 - mmengine - INFO - Epoch(train) [154][840/1879] lr: 1.0000e-04 eta: 15:14:15 time: 0.2822 data_time: 0.0170 memory: 8198 grad_norm: 6.7553 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9818 loss: 0.9818 2022/08/03 13:40:42 - mmengine - INFO - Epoch(train) [154][860/1879] lr: 1.0000e-04 eta: 15:14:09 time: 0.2874 data_time: 0.0236 memory: 8198 grad_norm: 6.8220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0419 loss: 1.0419 2022/08/03 13:40:47 - mmengine - INFO - Epoch(train) [154][880/1879] lr: 1.0000e-04 eta: 15:14:04 time: 0.2859 data_time: 0.0213 memory: 8198 grad_norm: 6.8200 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9968 loss: 0.9968 2022/08/03 13:40:53 - mmengine - INFO - Epoch(train) [154][900/1879] lr: 1.0000e-04 eta: 15:13:58 time: 0.2840 data_time: 0.0205 memory: 8198 grad_norm: 6.8902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0012 loss: 1.0012 2022/08/03 13:40:59 - mmengine - INFO - Epoch(train) [154][920/1879] lr: 1.0000e-04 eta: 15:13:52 time: 0.2835 data_time: 0.0195 memory: 8198 grad_norm: 6.9966 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0796 loss: 1.0796 2022/08/03 13:41:04 - mmengine - INFO - Epoch(train) [154][940/1879] lr: 1.0000e-04 eta: 15:13:46 time: 0.2821 data_time: 0.0187 memory: 8198 grad_norm: 6.9342 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0750 loss: 1.0750 2022/08/03 13:41:10 - mmengine - INFO - Epoch(train) [154][960/1879] lr: 1.0000e-04 eta: 15:13:41 time: 0.2995 data_time: 0.0221 memory: 8198 grad_norm: 6.7326 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9432 loss: 0.9432 2022/08/03 13:41:16 - mmengine - INFO - Epoch(train) [154][980/1879] lr: 1.0000e-04 eta: 15:13:35 time: 0.2801 data_time: 0.0211 memory: 8198 grad_norm: 6.6854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8368 loss: 0.8368 2022/08/03 13:41:22 - mmengine - INFO - Epoch(train) [154][1000/1879] lr: 1.0000e-04 eta: 15:13:30 time: 0.2877 data_time: 0.0229 memory: 8198 grad_norm: 6.7785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9599 loss: 0.9599 2022/08/03 13:41:28 - mmengine - INFO - Epoch(train) [154][1020/1879] lr: 1.0000e-04 eta: 15:13:24 time: 0.2900 data_time: 0.0181 memory: 8198 grad_norm: 6.8396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9439 loss: 0.9439 2022/08/03 13:41:33 - mmengine - INFO - Epoch(train) [154][1040/1879] lr: 1.0000e-04 eta: 15:13:18 time: 0.2839 data_time: 0.0286 memory: 8198 grad_norm: 6.8627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/08/03 13:41:39 - mmengine - INFO - Epoch(train) [154][1060/1879] lr: 1.0000e-04 eta: 15:13:13 time: 0.2868 data_time: 0.0294 memory: 8198 grad_norm: 7.0120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/08/03 13:41:45 - mmengine - INFO - Epoch(train) [154][1080/1879] lr: 1.0000e-04 eta: 15:13:07 time: 0.2966 data_time: 0.0244 memory: 8198 grad_norm: 6.9817 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.9470 loss: 0.9470 2022/08/03 13:41:51 - mmengine - INFO - Epoch(train) [154][1100/1879] lr: 1.0000e-04 eta: 15:13:01 time: 0.2862 data_time: 0.0231 memory: 8198 grad_norm: 6.9273 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0339 loss: 1.0339 2022/08/03 13:41:56 - mmengine - INFO - Epoch(train) [154][1120/1879] lr: 1.0000e-04 eta: 15:12:56 time: 0.2826 data_time: 0.0200 memory: 8198 grad_norm: 6.9255 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/08/03 13:42:02 - mmengine - INFO - Epoch(train) [154][1140/1879] lr: 1.0000e-04 eta: 15:12:50 time: 0.2885 data_time: 0.0253 memory: 8198 grad_norm: 6.9338 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9726 loss: 0.9726 2022/08/03 13:42:08 - mmengine - INFO - Epoch(train) [154][1160/1879] lr: 1.0000e-04 eta: 15:12:44 time: 0.2875 data_time: 0.0261 memory: 8198 grad_norm: 6.9427 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9585 loss: 0.9585 2022/08/03 13:42:14 - mmengine - INFO - Epoch(train) [154][1180/1879] lr: 1.0000e-04 eta: 15:12:39 time: 0.2871 data_time: 0.0239 memory: 8198 grad_norm: 7.1014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0516 loss: 1.0516 2022/08/03 13:42:20 - mmengine - INFO - Epoch(train) [154][1200/1879] lr: 1.0000e-04 eta: 15:12:33 time: 0.2858 data_time: 0.0224 memory: 8198 grad_norm: 6.8852 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9752 loss: 0.9752 2022/08/03 13:42:25 - mmengine - INFO - Epoch(train) [154][1220/1879] lr: 1.0000e-04 eta: 15:12:27 time: 0.2850 data_time: 0.0203 memory: 8198 grad_norm: 6.9685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/08/03 13:42:31 - mmengine - INFO - Epoch(train) [154][1240/1879] lr: 1.0000e-04 eta: 15:12:22 time: 0.2866 data_time: 0.0245 memory: 8198 grad_norm: 6.8215 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8952 loss: 0.8952 2022/08/03 13:42:37 - mmengine - INFO - Epoch(train) [154][1260/1879] lr: 1.0000e-04 eta: 15:12:16 time: 0.2856 data_time: 0.0259 memory: 8198 grad_norm: 6.7650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0510 loss: 1.0510 2022/08/03 13:42:42 - mmengine - INFO - Epoch(train) [154][1280/1879] lr: 1.0000e-04 eta: 15:12:10 time: 0.2858 data_time: 0.0207 memory: 8198 grad_norm: 7.0267 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0887 loss: 1.0887 2022/08/03 13:42:48 - mmengine - INFO - Epoch(train) [154][1300/1879] lr: 1.0000e-04 eta: 15:12:05 time: 0.2893 data_time: 0.0246 memory: 8198 grad_norm: 6.8216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9450 loss: 0.9450 2022/08/03 13:42:54 - mmengine - INFO - Epoch(train) [154][1320/1879] lr: 1.0000e-04 eta: 15:11:59 time: 0.2868 data_time: 0.0234 memory: 8198 grad_norm: 7.0598 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/08/03 13:43:00 - mmengine - INFO - Epoch(train) [154][1340/1879] lr: 1.0000e-04 eta: 15:11:53 time: 0.2882 data_time: 0.0236 memory: 8198 grad_norm: 6.6264 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0015 loss: 1.0015 2022/08/03 13:43:06 - mmengine - INFO - Epoch(train) [154][1360/1879] lr: 1.0000e-04 eta: 15:11:48 time: 0.2845 data_time: 0.0229 memory: 8198 grad_norm: 6.7355 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/08/03 13:43:11 - mmengine - INFO - Epoch(train) [154][1380/1879] lr: 1.0000e-04 eta: 15:11:42 time: 0.2867 data_time: 0.0211 memory: 8198 grad_norm: 6.9274 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1206 loss: 1.1206 2022/08/03 13:43:17 - mmengine - INFO - Epoch(train) [154][1400/1879] lr: 1.0000e-04 eta: 15:11:36 time: 0.2812 data_time: 0.0215 memory: 8198 grad_norm: 6.9328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/08/03 13:43:23 - mmengine - INFO - Epoch(train) [154][1420/1879] lr: 1.0000e-04 eta: 15:11:31 time: 0.2847 data_time: 0.0214 memory: 8198 grad_norm: 6.8868 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9873 loss: 0.9873 2022/08/03 13:43:28 - mmengine - INFO - Epoch(train) [154][1440/1879] lr: 1.0000e-04 eta: 15:11:25 time: 0.2890 data_time: 0.0238 memory: 8198 grad_norm: 6.5957 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/03 13:43:34 - mmengine - INFO - Epoch(train) [154][1460/1879] lr: 1.0000e-04 eta: 15:11:19 time: 0.2829 data_time: 0.0235 memory: 8198 grad_norm: 6.9897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/08/03 13:43:40 - mmengine - INFO - Epoch(train) [154][1480/1879] lr: 1.0000e-04 eta: 15:11:14 time: 0.2860 data_time: 0.0250 memory: 8198 grad_norm: 6.8786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1669 loss: 1.1669 2022/08/03 13:43:46 - mmengine - INFO - Epoch(train) [154][1500/1879] lr: 1.0000e-04 eta: 15:11:08 time: 0.2835 data_time: 0.0187 memory: 8198 grad_norm: 7.1490 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0822 loss: 1.0822 2022/08/03 13:43:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:43:51 - mmengine - INFO - Epoch(train) [154][1520/1879] lr: 1.0000e-04 eta: 15:11:02 time: 0.2908 data_time: 0.0252 memory: 8198 grad_norm: 6.8023 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/03 13:43:57 - mmengine - INFO - Epoch(train) [154][1540/1879] lr: 1.0000e-04 eta: 15:10:57 time: 0.2968 data_time: 0.0192 memory: 8198 grad_norm: 6.7356 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8460 loss: 0.8460 2022/08/03 13:44:03 - mmengine - INFO - Epoch(train) [154][1560/1879] lr: 1.0000e-04 eta: 15:10:51 time: 0.2840 data_time: 0.0216 memory: 8198 grad_norm: 7.0446 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0338 loss: 1.0338 2022/08/03 13:44:09 - mmengine - INFO - Epoch(train) [154][1580/1879] lr: 1.0000e-04 eta: 15:10:45 time: 0.2869 data_time: 0.0196 memory: 8198 grad_norm: 6.9742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0208 loss: 1.0208 2022/08/03 13:44:15 - mmengine - INFO - Epoch(train) [154][1600/1879] lr: 1.0000e-04 eta: 15:10:40 time: 0.2856 data_time: 0.0203 memory: 8198 grad_norm: 6.8525 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8068 loss: 0.8068 2022/08/03 13:44:20 - mmengine - INFO - Epoch(train) [154][1620/1879] lr: 1.0000e-04 eta: 15:10:34 time: 0.2872 data_time: 0.0207 memory: 8198 grad_norm: 6.8768 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9223 loss: 0.9223 2022/08/03 13:44:26 - mmengine - INFO - Epoch(train) [154][1640/1879] lr: 1.0000e-04 eta: 15:10:28 time: 0.2986 data_time: 0.0230 memory: 8198 grad_norm: 6.7435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8625 loss: 0.8625 2022/08/03 13:44:32 - mmengine - INFO - Epoch(train) [154][1660/1879] lr: 1.0000e-04 eta: 15:10:23 time: 0.2852 data_time: 0.0266 memory: 8198 grad_norm: 6.6444 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/08/03 13:44:38 - mmengine - INFO - Epoch(train) [154][1680/1879] lr: 1.0000e-04 eta: 15:10:17 time: 0.2883 data_time: 0.0246 memory: 8198 grad_norm: 7.0398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8371 loss: 0.8371 2022/08/03 13:44:44 - mmengine - INFO - Epoch(train) [154][1700/1879] lr: 1.0000e-04 eta: 15:10:11 time: 0.2845 data_time: 0.0186 memory: 8198 grad_norm: 6.8662 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8551 loss: 0.8551 2022/08/03 13:44:49 - mmengine - INFO - Epoch(train) [154][1720/1879] lr: 1.0000e-04 eta: 15:10:06 time: 0.2890 data_time: 0.0252 memory: 8198 grad_norm: 6.8469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9238 loss: 0.9238 2022/08/03 13:44:55 - mmengine - INFO - Epoch(train) [154][1740/1879] lr: 1.0000e-04 eta: 15:10:00 time: 0.2802 data_time: 0.0190 memory: 8198 grad_norm: 7.0520 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9646 loss: 0.9646 2022/08/03 13:45:01 - mmengine - INFO - Epoch(train) [154][1760/1879] lr: 1.0000e-04 eta: 15:09:54 time: 0.2943 data_time: 0.0225 memory: 8198 grad_norm: 6.9520 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/03 13:45:07 - mmengine - INFO - Epoch(train) [154][1780/1879] lr: 1.0000e-04 eta: 15:09:49 time: 0.2855 data_time: 0.0231 memory: 8198 grad_norm: 6.7281 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/08/03 13:45:12 - mmengine - INFO - Epoch(train) [154][1800/1879] lr: 1.0000e-04 eta: 15:09:43 time: 0.2854 data_time: 0.0218 memory: 8198 grad_norm: 6.9799 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8000 loss: 0.8000 2022/08/03 13:45:18 - mmengine - INFO - Epoch(train) [154][1820/1879] lr: 1.0000e-04 eta: 15:09:38 time: 0.2929 data_time: 0.0281 memory: 8198 grad_norm: 7.0062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/08/03 13:45:24 - mmengine - INFO - Epoch(train) [154][1840/1879] lr: 1.0000e-04 eta: 15:09:32 time: 0.2834 data_time: 0.0184 memory: 8198 grad_norm: 6.7466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0802 loss: 1.0802 2022/08/03 13:45:30 - mmengine - INFO - Epoch(train) [154][1860/1879] lr: 1.0000e-04 eta: 15:09:26 time: 0.2840 data_time: 0.0222 memory: 8198 grad_norm: 6.3919 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9258 loss: 0.9258 2022/08/03 13:45:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:45:34 - mmengine - INFO - Epoch(train) [154][1879/1879] lr: 1.0000e-04 eta: 15:09:26 time: 0.2557 data_time: 0.0154 memory: 8198 grad_norm: 6.9853 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0807 loss: 1.0807 2022/08/03 13:45:43 - mmengine - INFO - Epoch(train) [155][20/1879] lr: 1.0000e-04 eta: 15:09:13 time: 0.4023 data_time: 0.0991 memory: 8198 grad_norm: 6.6472 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8978 loss: 0.8978 2022/08/03 13:45:48 - mmengine - INFO - Epoch(train) [155][40/1879] lr: 1.0000e-04 eta: 15:09:07 time: 0.2902 data_time: 0.0194 memory: 8198 grad_norm: 6.8934 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0042 loss: 1.0042 2022/08/03 13:45:54 - mmengine - INFO - Epoch(train) [155][60/1879] lr: 1.0000e-04 eta: 15:09:02 time: 0.2886 data_time: 0.0277 memory: 8198 grad_norm: 6.8871 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/08/03 13:46:00 - mmengine - INFO - Epoch(train) [155][80/1879] lr: 1.0000e-04 eta: 15:08:56 time: 0.2935 data_time: 0.0247 memory: 8198 grad_norm: 6.7540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/08/03 13:46:06 - mmengine - INFO - Epoch(train) [155][100/1879] lr: 1.0000e-04 eta: 15:08:50 time: 0.2874 data_time: 0.0260 memory: 8198 grad_norm: 7.0285 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0625 loss: 1.0625 2022/08/03 13:46:12 - mmengine - INFO - Epoch(train) [155][120/1879] lr: 1.0000e-04 eta: 15:08:45 time: 0.2887 data_time: 0.0258 memory: 8198 grad_norm: 6.9073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0403 loss: 1.0403 2022/08/03 13:46:17 - mmengine - INFO - Epoch(train) [155][140/1879] lr: 1.0000e-04 eta: 15:08:39 time: 0.2829 data_time: 0.0245 memory: 8198 grad_norm: 6.7979 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0969 loss: 1.0969 2022/08/03 13:46:23 - mmengine - INFO - Epoch(train) [155][160/1879] lr: 1.0000e-04 eta: 15:08:33 time: 0.2849 data_time: 0.0236 memory: 8198 grad_norm: 6.7995 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/08/03 13:46:29 - mmengine - INFO - Epoch(train) [155][180/1879] lr: 1.0000e-04 eta: 15:08:28 time: 0.2912 data_time: 0.0219 memory: 8198 grad_norm: 6.7929 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1934 loss: 1.1934 2022/08/03 13:46:35 - mmengine - INFO - Epoch(train) [155][200/1879] lr: 1.0000e-04 eta: 15:08:22 time: 0.2863 data_time: 0.0253 memory: 8198 grad_norm: 6.8022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9837 loss: 0.9837 2022/08/03 13:46:40 - mmengine - INFO - Epoch(train) [155][220/1879] lr: 1.0000e-04 eta: 15:08:16 time: 0.2844 data_time: 0.0184 memory: 8198 grad_norm: 6.7642 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9592 loss: 0.9592 2022/08/03 13:46:46 - mmengine - INFO - Epoch(train) [155][240/1879] lr: 1.0000e-04 eta: 15:08:11 time: 0.2839 data_time: 0.0192 memory: 8198 grad_norm: 6.8333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/08/03 13:46:52 - mmengine - INFO - Epoch(train) [155][260/1879] lr: 1.0000e-04 eta: 15:08:05 time: 0.2886 data_time: 0.0284 memory: 8198 grad_norm: 7.0155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9587 loss: 0.9587 2022/08/03 13:46:58 - mmengine - INFO - Epoch(train) [155][280/1879] lr: 1.0000e-04 eta: 15:07:59 time: 0.2847 data_time: 0.0226 memory: 8198 grad_norm: 6.8322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1775 loss: 1.1775 2022/08/03 13:47:03 - mmengine - INFO - Epoch(train) [155][300/1879] lr: 1.0000e-04 eta: 15:07:54 time: 0.2939 data_time: 0.0285 memory: 8198 grad_norm: 6.7547 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1166 loss: 1.1166 2022/08/03 13:47:09 - mmengine - INFO - Epoch(train) [155][320/1879] lr: 1.0000e-04 eta: 15:07:48 time: 0.2823 data_time: 0.0212 memory: 8198 grad_norm: 6.6503 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0842 loss: 1.0842 2022/08/03 13:47:15 - mmengine - INFO - Epoch(train) [155][340/1879] lr: 1.0000e-04 eta: 15:07:43 time: 0.2923 data_time: 0.0295 memory: 8198 grad_norm: 7.0764 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9787 loss: 0.9787 2022/08/03 13:47:21 - mmengine - INFO - Epoch(train) [155][360/1879] lr: 1.0000e-04 eta: 15:07:37 time: 0.2949 data_time: 0.0190 memory: 8198 grad_norm: 6.6926 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9425 loss: 0.9425 2022/08/03 13:47:27 - mmengine - INFO - Epoch(train) [155][380/1879] lr: 1.0000e-04 eta: 15:07:31 time: 0.2850 data_time: 0.0226 memory: 8198 grad_norm: 7.0451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1915 loss: 1.1915 2022/08/03 13:47:32 - mmengine - INFO - Epoch(train) [155][400/1879] lr: 1.0000e-04 eta: 15:07:26 time: 0.2851 data_time: 0.0255 memory: 8198 grad_norm: 6.9280 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0351 loss: 1.0351 2022/08/03 13:47:39 - mmengine - INFO - Epoch(train) [155][420/1879] lr: 1.0000e-04 eta: 15:07:20 time: 0.3043 data_time: 0.0299 memory: 8198 grad_norm: 6.9496 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8525 loss: 0.8525 2022/08/03 13:47:44 - mmengine - INFO - Epoch(train) [155][440/1879] lr: 1.0000e-04 eta: 15:07:14 time: 0.2835 data_time: 0.0221 memory: 8198 grad_norm: 6.9564 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/08/03 13:47:50 - mmengine - INFO - Epoch(train) [155][460/1879] lr: 1.0000e-04 eta: 15:07:09 time: 0.2906 data_time: 0.0234 memory: 8198 grad_norm: 6.8824 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/08/03 13:47:56 - mmengine - INFO - Epoch(train) [155][480/1879] lr: 1.0000e-04 eta: 15:07:03 time: 0.2881 data_time: 0.0193 memory: 8198 grad_norm: 6.8242 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/08/03 13:48:02 - mmengine - INFO - Epoch(train) [155][500/1879] lr: 1.0000e-04 eta: 15:06:58 time: 0.2890 data_time: 0.0212 memory: 8198 grad_norm: 6.9476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0507 loss: 1.0507 2022/08/03 13:48:07 - mmengine - INFO - Epoch(train) [155][520/1879] lr: 1.0000e-04 eta: 15:06:52 time: 0.2822 data_time: 0.0224 memory: 8198 grad_norm: 6.6675 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/03 13:48:13 - mmengine - INFO - Epoch(train) [155][540/1879] lr: 1.0000e-04 eta: 15:06:46 time: 0.2891 data_time: 0.0218 memory: 8198 grad_norm: 7.0119 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0164 loss: 1.0164 2022/08/03 13:48:19 - mmengine - INFO - Epoch(train) [155][560/1879] lr: 1.0000e-04 eta: 15:06:41 time: 0.3012 data_time: 0.0272 memory: 8198 grad_norm: 7.0842 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9158 loss: 0.9158 2022/08/03 13:48:25 - mmengine - INFO - Epoch(train) [155][580/1879] lr: 1.0000e-04 eta: 15:06:35 time: 0.2794 data_time: 0.0208 memory: 8198 grad_norm: 6.7290 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9956 loss: 0.9956 2022/08/03 13:48:30 - mmengine - INFO - Epoch(train) [155][600/1879] lr: 1.0000e-04 eta: 15:06:29 time: 0.2843 data_time: 0.0241 memory: 8198 grad_norm: 6.9147 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0682 loss: 1.0682 2022/08/03 13:48:36 - mmengine - INFO - Epoch(train) [155][620/1879] lr: 1.0000e-04 eta: 15:06:24 time: 0.2850 data_time: 0.0227 memory: 8198 grad_norm: 6.8733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0197 loss: 1.0197 2022/08/03 13:48:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:48:42 - mmengine - INFO - Epoch(train) [155][640/1879] lr: 1.0000e-04 eta: 15:06:18 time: 0.2845 data_time: 0.0249 memory: 8198 grad_norm: 6.8821 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9845 loss: 0.9845 2022/08/03 13:48:48 - mmengine - INFO - Epoch(train) [155][660/1879] lr: 1.0000e-04 eta: 15:06:12 time: 0.2819 data_time: 0.0214 memory: 8198 grad_norm: 6.9713 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9295 loss: 0.9295 2022/08/03 13:48:53 - mmengine - INFO - Epoch(train) [155][680/1879] lr: 1.0000e-04 eta: 15:06:07 time: 0.2924 data_time: 0.0257 memory: 8198 grad_norm: 7.1702 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9897 loss: 0.9897 2022/08/03 13:48:59 - mmengine - INFO - Epoch(train) [155][700/1879] lr: 1.0000e-04 eta: 15:06:01 time: 0.2811 data_time: 0.0253 memory: 8198 grad_norm: 6.9730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1615 loss: 1.1615 2022/08/03 13:49:05 - mmengine - INFO - Epoch(train) [155][720/1879] lr: 1.0000e-04 eta: 15:05:55 time: 0.2889 data_time: 0.0301 memory: 8198 grad_norm: 6.8351 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1321 loss: 1.1321 2022/08/03 13:49:11 - mmengine - INFO - Epoch(train) [155][740/1879] lr: 1.0000e-04 eta: 15:05:50 time: 0.2947 data_time: 0.0242 memory: 8198 grad_norm: 6.9495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/08/03 13:49:16 - mmengine - INFO - Epoch(train) [155][760/1879] lr: 1.0000e-04 eta: 15:05:44 time: 0.2859 data_time: 0.0205 memory: 8198 grad_norm: 6.8584 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1019 loss: 1.1019 2022/08/03 13:49:22 - mmengine - INFO - Epoch(train) [155][780/1879] lr: 1.0000e-04 eta: 15:05:38 time: 0.2847 data_time: 0.0196 memory: 8198 grad_norm: 6.8158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0864 loss: 1.0864 2022/08/03 13:49:28 - mmengine - INFO - Epoch(train) [155][800/1879] lr: 1.0000e-04 eta: 15:05:33 time: 0.2882 data_time: 0.0257 memory: 8198 grad_norm: 6.7443 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9458 loss: 0.9458 2022/08/03 13:49:34 - mmengine - INFO - Epoch(train) [155][820/1879] lr: 1.0000e-04 eta: 15:05:27 time: 0.2877 data_time: 0.0205 memory: 8198 grad_norm: 6.9961 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9835 loss: 0.9835 2022/08/03 13:49:40 - mmengine - INFO - Epoch(train) [155][840/1879] lr: 1.0000e-04 eta: 15:05:21 time: 0.2856 data_time: 0.0230 memory: 8198 grad_norm: 6.9796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9336 loss: 0.9336 2022/08/03 13:49:45 - mmengine - INFO - Epoch(train) [155][860/1879] lr: 1.0000e-04 eta: 15:05:16 time: 0.2878 data_time: 0.0210 memory: 8198 grad_norm: 6.8168 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9184 loss: 0.9184 2022/08/03 13:49:51 - mmengine - INFO - Epoch(train) [155][880/1879] lr: 1.0000e-04 eta: 15:05:10 time: 0.2870 data_time: 0.0215 memory: 8198 grad_norm: 7.1059 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0505 loss: 1.0505 2022/08/03 13:49:57 - mmengine - INFO - Epoch(train) [155][900/1879] lr: 1.0000e-04 eta: 15:05:04 time: 0.2828 data_time: 0.0219 memory: 8198 grad_norm: 6.6479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/08/03 13:50:02 - mmengine - INFO - Epoch(train) [155][920/1879] lr: 1.0000e-04 eta: 15:04:58 time: 0.2828 data_time: 0.0202 memory: 8198 grad_norm: 6.7055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9129 loss: 0.9129 2022/08/03 13:50:08 - mmengine - INFO - Epoch(train) [155][940/1879] lr: 1.0000e-04 eta: 15:04:53 time: 0.2880 data_time: 0.0225 memory: 8198 grad_norm: 6.8293 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9541 loss: 0.9541 2022/08/03 13:50:14 - mmengine - INFO - Epoch(train) [155][960/1879] lr: 1.0000e-04 eta: 15:04:47 time: 0.2904 data_time: 0.0228 memory: 8198 grad_norm: 6.8399 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0069 loss: 1.0069 2022/08/03 13:50:20 - mmengine - INFO - Epoch(train) [155][980/1879] lr: 1.0000e-04 eta: 15:04:42 time: 0.2835 data_time: 0.0185 memory: 8198 grad_norm: 6.7498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/08/03 13:50:25 - mmengine - INFO - Epoch(train) [155][1000/1879] lr: 1.0000e-04 eta: 15:04:36 time: 0.2813 data_time: 0.0190 memory: 8198 grad_norm: 7.1163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/03 13:50:31 - mmengine - INFO - Epoch(train) [155][1020/1879] lr: 1.0000e-04 eta: 15:04:30 time: 0.2913 data_time: 0.0253 memory: 8198 grad_norm: 6.8173 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0029 loss: 1.0029 2022/08/03 13:50:37 - mmengine - INFO - Epoch(train) [155][1040/1879] lr: 1.0000e-04 eta: 15:04:24 time: 0.2845 data_time: 0.0237 memory: 8198 grad_norm: 6.9050 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1637 loss: 1.1637 2022/08/03 13:50:43 - mmengine - INFO - Epoch(train) [155][1060/1879] lr: 1.0000e-04 eta: 15:04:19 time: 0.2871 data_time: 0.0258 memory: 8198 grad_norm: 6.9626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9706 loss: 0.9706 2022/08/03 13:50:48 - mmengine - INFO - Epoch(train) [155][1080/1879] lr: 1.0000e-04 eta: 15:04:13 time: 0.2842 data_time: 0.0228 memory: 8198 grad_norm: 6.8915 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0199 loss: 1.0199 2022/08/03 13:50:54 - mmengine - INFO - Epoch(train) [155][1100/1879] lr: 1.0000e-04 eta: 15:04:07 time: 0.2858 data_time: 0.0226 memory: 8198 grad_norm: 6.8788 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0367 loss: 1.0367 2022/08/03 13:51:00 - mmengine - INFO - Epoch(train) [155][1120/1879] lr: 1.0000e-04 eta: 15:04:02 time: 0.2869 data_time: 0.0246 memory: 8198 grad_norm: 6.8142 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0566 loss: 1.0566 2022/08/03 13:51:06 - mmengine - INFO - Epoch(train) [155][1140/1879] lr: 1.0000e-04 eta: 15:03:56 time: 0.2904 data_time: 0.0312 memory: 8198 grad_norm: 6.8317 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/08/03 13:51:12 - mmengine - INFO - Epoch(train) [155][1160/1879] lr: 1.0000e-04 eta: 15:03:51 time: 0.2911 data_time: 0.0226 memory: 8198 grad_norm: 6.7878 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1026 loss: 1.1026 2022/08/03 13:51:17 - mmengine - INFO - Epoch(train) [155][1180/1879] lr: 1.0000e-04 eta: 15:03:45 time: 0.2867 data_time: 0.0261 memory: 8198 grad_norm: 6.9732 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0275 loss: 1.0275 2022/08/03 13:51:23 - mmengine - INFO - Epoch(train) [155][1200/1879] lr: 1.0000e-04 eta: 15:03:39 time: 0.2889 data_time: 0.0240 memory: 8198 grad_norm: 7.0088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0349 loss: 1.0349 2022/08/03 13:51:29 - mmengine - INFO - Epoch(train) [155][1220/1879] lr: 1.0000e-04 eta: 15:03:34 time: 0.2903 data_time: 0.0261 memory: 8198 grad_norm: 6.7690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0049 loss: 1.0049 2022/08/03 13:51:35 - mmengine - INFO - Epoch(train) [155][1240/1879] lr: 1.0000e-04 eta: 15:03:28 time: 0.2837 data_time: 0.0216 memory: 8198 grad_norm: 6.7722 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0388 loss: 1.0388 2022/08/03 13:51:40 - mmengine - INFO - Epoch(train) [155][1260/1879] lr: 1.0000e-04 eta: 15:03:22 time: 0.2835 data_time: 0.0236 memory: 8198 grad_norm: 6.7697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9453 loss: 0.9453 2022/08/03 13:51:46 - mmengine - INFO - Epoch(train) [155][1280/1879] lr: 1.0000e-04 eta: 15:03:17 time: 0.2849 data_time: 0.0245 memory: 8198 grad_norm: 6.8108 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9781 loss: 0.9781 2022/08/03 13:51:52 - mmengine - INFO - Epoch(train) [155][1300/1879] lr: 1.0000e-04 eta: 15:03:11 time: 0.2863 data_time: 0.0252 memory: 8198 grad_norm: 7.1794 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9895 loss: 0.9895 2022/08/03 13:51:57 - mmengine - INFO - Epoch(train) [155][1320/1879] lr: 1.0000e-04 eta: 15:03:05 time: 0.2827 data_time: 0.0186 memory: 8198 grad_norm: 6.8076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/08/03 13:52:03 - mmengine - INFO - Epoch(train) [155][1340/1879] lr: 1.0000e-04 eta: 15:02:59 time: 0.2846 data_time: 0.0262 memory: 8198 grad_norm: 6.5626 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/08/03 13:52:09 - mmengine - INFO - Epoch(train) [155][1360/1879] lr: 1.0000e-04 eta: 15:02:54 time: 0.2928 data_time: 0.0224 memory: 8198 grad_norm: 6.8577 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9201 loss: 0.9201 2022/08/03 13:52:15 - mmengine - INFO - Epoch(train) [155][1380/1879] lr: 1.0000e-04 eta: 15:02:48 time: 0.2827 data_time: 0.0227 memory: 8198 grad_norm: 6.8988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9416 loss: 0.9416 2022/08/03 13:52:20 - mmengine - INFO - Epoch(train) [155][1400/1879] lr: 1.0000e-04 eta: 15:02:42 time: 0.2821 data_time: 0.0238 memory: 8198 grad_norm: 6.8927 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0246 loss: 1.0246 2022/08/03 13:52:26 - mmengine - INFO - Epoch(train) [155][1420/1879] lr: 1.0000e-04 eta: 15:02:37 time: 0.2841 data_time: 0.0208 memory: 8198 grad_norm: 6.8269 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8770 loss: 0.8770 2022/08/03 13:52:32 - mmengine - INFO - Epoch(train) [155][1440/1879] lr: 1.0000e-04 eta: 15:02:31 time: 0.2906 data_time: 0.0234 memory: 8198 grad_norm: 6.9111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9273 loss: 0.9273 2022/08/03 13:52:38 - mmengine - INFO - Epoch(train) [155][1460/1879] lr: 1.0000e-04 eta: 15:02:25 time: 0.2887 data_time: 0.0227 memory: 8198 grad_norm: 7.0219 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9398 loss: 0.9398 2022/08/03 13:52:44 - mmengine - INFO - Epoch(train) [155][1480/1879] lr: 1.0000e-04 eta: 15:02:20 time: 0.2869 data_time: 0.0219 memory: 8198 grad_norm: 6.8680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/08/03 13:52:50 - mmengine - INFO - Epoch(train) [155][1500/1879] lr: 1.0000e-04 eta: 15:02:14 time: 0.3151 data_time: 0.0188 memory: 8198 grad_norm: 6.8348 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1927 loss: 1.1927 2022/08/03 13:52:55 - mmengine - INFO - Epoch(train) [155][1520/1879] lr: 1.0000e-04 eta: 15:02:09 time: 0.2789 data_time: 0.0209 memory: 8198 grad_norm: 6.9437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1566 loss: 1.1566 2022/08/03 13:53:01 - mmengine - INFO - Epoch(train) [155][1540/1879] lr: 1.0000e-04 eta: 15:02:03 time: 0.2894 data_time: 0.0257 memory: 8198 grad_norm: 6.8426 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9764 loss: 0.9764 2022/08/03 13:53:07 - mmengine - INFO - Epoch(train) [155][1560/1879] lr: 1.0000e-04 eta: 15:01:57 time: 0.2854 data_time: 0.0229 memory: 8198 grad_norm: 7.1834 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0219 loss: 1.0219 2022/08/03 13:53:13 - mmengine - INFO - Epoch(train) [155][1580/1879] lr: 1.0000e-04 eta: 15:01:52 time: 0.2978 data_time: 0.0219 memory: 8198 grad_norm: 7.0199 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0181 loss: 1.0181 2022/08/03 13:53:19 - mmengine - INFO - Epoch(train) [155][1600/1879] lr: 1.0000e-04 eta: 15:01:46 time: 0.2888 data_time: 0.0228 memory: 8198 grad_norm: 6.8702 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/08/03 13:53:25 - mmengine - INFO - Epoch(train) [155][1620/1879] lr: 1.0000e-04 eta: 15:01:41 time: 0.2878 data_time: 0.0285 memory: 8198 grad_norm: 6.9288 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9652 loss: 0.9652 2022/08/03 13:53:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:53:30 - mmengine - INFO - Epoch(train) [155][1640/1879] lr: 1.0000e-04 eta: 15:01:35 time: 0.2948 data_time: 0.0243 memory: 8198 grad_norm: 7.1782 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8583 loss: 0.8583 2022/08/03 13:53:36 - mmengine - INFO - Epoch(train) [155][1660/1879] lr: 1.0000e-04 eta: 15:01:29 time: 0.2817 data_time: 0.0211 memory: 8198 grad_norm: 6.7677 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9405 loss: 0.9405 2022/08/03 13:53:42 - mmengine - INFO - Epoch(train) [155][1680/1879] lr: 1.0000e-04 eta: 15:01:24 time: 0.2844 data_time: 0.0272 memory: 8198 grad_norm: 6.8898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0180 loss: 1.0180 2022/08/03 13:53:48 - mmengine - INFO - Epoch(train) [155][1700/1879] lr: 1.0000e-04 eta: 15:01:18 time: 0.2872 data_time: 0.0258 memory: 8198 grad_norm: 6.9723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9963 loss: 0.9963 2022/08/03 13:53:54 - mmengine - INFO - Epoch(train) [155][1720/1879] lr: 1.0000e-04 eta: 15:01:12 time: 0.2961 data_time: 0.0238 memory: 8198 grad_norm: 6.8559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/08/03 13:53:59 - mmengine - INFO - Epoch(train) [155][1740/1879] lr: 1.0000e-04 eta: 15:01:07 time: 0.2842 data_time: 0.0250 memory: 8198 grad_norm: 6.8857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0077 loss: 1.0077 2022/08/03 13:54:05 - mmengine - INFO - Epoch(train) [155][1760/1879] lr: 1.0000e-04 eta: 15:01:01 time: 0.2856 data_time: 0.0246 memory: 8198 grad_norm: 6.7875 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1353 loss: 1.1353 2022/08/03 13:54:11 - mmengine - INFO - Epoch(train) [155][1780/1879] lr: 1.0000e-04 eta: 15:00:55 time: 0.2931 data_time: 0.0202 memory: 8198 grad_norm: 6.8118 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1215 loss: 1.1215 2022/08/03 13:54:17 - mmengine - INFO - Epoch(train) [155][1800/1879] lr: 1.0000e-04 eta: 15:00:50 time: 0.2841 data_time: 0.0196 memory: 8198 grad_norm: 7.1006 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9676 loss: 0.9676 2022/08/03 13:54:22 - mmengine - INFO - Epoch(train) [155][1820/1879] lr: 1.0000e-04 eta: 15:00:44 time: 0.2879 data_time: 0.0226 memory: 8198 grad_norm: 6.8557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9515 loss: 0.9515 2022/08/03 13:54:28 - mmengine - INFO - Epoch(train) [155][1840/1879] lr: 1.0000e-04 eta: 15:00:38 time: 0.2865 data_time: 0.0242 memory: 8198 grad_norm: 7.2090 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/08/03 13:54:34 - mmengine - INFO - Epoch(train) [155][1860/1879] lr: 1.0000e-04 eta: 15:00:33 time: 0.2920 data_time: 0.0218 memory: 8198 grad_norm: 6.9088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8534 loss: 0.8534 2022/08/03 13:54:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:54:39 - mmengine - INFO - Epoch(train) [155][1879/1879] lr: 1.0000e-04 eta: 15:00:33 time: 0.2610 data_time: 0.0164 memory: 8198 grad_norm: 6.9063 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8083 loss: 0.8083 2022/08/03 13:54:46 - mmengine - INFO - Epoch(val) [155][20/155] eta: 0:00:45 time: 0.3342 data_time: 0.2454 memory: 1514 2022/08/03 13:54:50 - mmengine - INFO - Epoch(val) [155][40/155] eta: 0:00:24 time: 0.2142 data_time: 0.1261 memory: 1514 2022/08/03 13:54:56 - mmengine - INFO - Epoch(val) [155][60/155] eta: 0:00:28 time: 0.3010 data_time: 0.2144 memory: 1514 2022/08/03 13:55:00 - mmengine - INFO - Epoch(val) [155][80/155] eta: 0:00:16 time: 0.2264 data_time: 0.1396 memory: 1514 2022/08/03 13:55:07 - mmengine - INFO - Epoch(val) [155][100/155] eta: 0:00:17 time: 0.3092 data_time: 0.2204 memory: 1514 2022/08/03 13:55:11 - mmengine - INFO - Epoch(val) [155][120/155] eta: 0:00:08 time: 0.2357 data_time: 0.1478 memory: 1514 2022/08/03 13:55:17 - mmengine - INFO - Epoch(val) [155][140/155] eta: 0:00:04 time: 0.3023 data_time: 0.2123 memory: 1514 2022/08/03 13:55:22 - mmengine - INFO - Epoch(val) [155][155/155] acc/top1: 0.6805 acc/top5: 0.8685 acc/mean1: 0.6804 2022/08/03 13:55:31 - mmengine - INFO - Epoch(train) [156][20/1879] lr: 1.0000e-04 eta: 15:00:20 time: 0.4044 data_time: 0.1065 memory: 8198 grad_norm: 6.8557 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0066 loss: 1.0066 2022/08/03 13:55:36 - mmengine - INFO - Epoch(train) [156][40/1879] lr: 1.0000e-04 eta: 15:00:14 time: 0.2928 data_time: 0.0271 memory: 8198 grad_norm: 6.8362 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1237 loss: 1.1237 2022/08/03 13:55:42 - mmengine - INFO - Epoch(train) [156][60/1879] lr: 1.0000e-04 eta: 15:00:09 time: 0.2944 data_time: 0.0226 memory: 8198 grad_norm: 6.6979 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8836 loss: 0.8836 2022/08/03 13:55:48 - mmengine - INFO - Epoch(train) [156][80/1879] lr: 1.0000e-04 eta: 15:00:03 time: 0.2868 data_time: 0.0237 memory: 8198 grad_norm: 6.8214 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9568 loss: 0.9568 2022/08/03 13:55:54 - mmengine - INFO - Epoch(train) [156][100/1879] lr: 1.0000e-04 eta: 14:59:57 time: 0.2955 data_time: 0.0239 memory: 8198 grad_norm: 6.8273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9408 loss: 0.9408 2022/08/03 13:56:00 - mmengine - INFO - Epoch(train) [156][120/1879] lr: 1.0000e-04 eta: 14:59:52 time: 0.2843 data_time: 0.0179 memory: 8198 grad_norm: 6.8317 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0638 loss: 1.0638 2022/08/03 13:56:05 - mmengine - INFO - Epoch(train) [156][140/1879] lr: 1.0000e-04 eta: 14:59:46 time: 0.2816 data_time: 0.0276 memory: 8198 grad_norm: 6.8893 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9282 loss: 0.9282 2022/08/03 13:56:11 - mmengine - INFO - Epoch(train) [156][160/1879] lr: 1.0000e-04 eta: 14:59:40 time: 0.2881 data_time: 0.0246 memory: 8198 grad_norm: 6.9608 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8881 loss: 0.8881 2022/08/03 13:56:17 - mmengine - INFO - Epoch(train) [156][180/1879] lr: 1.0000e-04 eta: 14:59:35 time: 0.2815 data_time: 0.0202 memory: 8198 grad_norm: 6.9709 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1159 loss: 1.1159 2022/08/03 13:56:23 - mmengine - INFO - Epoch(train) [156][200/1879] lr: 1.0000e-04 eta: 14:59:29 time: 0.2826 data_time: 0.0215 memory: 8198 grad_norm: 6.8409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0669 loss: 1.0669 2022/08/03 13:56:28 - mmengine - INFO - Epoch(train) [156][220/1879] lr: 1.0000e-04 eta: 14:59:23 time: 0.2850 data_time: 0.0232 memory: 8198 grad_norm: 6.8068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8870 loss: 0.8870 2022/08/03 13:56:34 - mmengine - INFO - Epoch(train) [156][240/1879] lr: 1.0000e-04 eta: 14:59:17 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 6.8571 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8774 loss: 0.8774 2022/08/03 13:56:40 - mmengine - INFO - Epoch(train) [156][260/1879] lr: 1.0000e-04 eta: 14:59:12 time: 0.2849 data_time: 0.0234 memory: 8198 grad_norm: 6.9820 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0720 loss: 1.0720 2022/08/03 13:56:45 - mmengine - INFO - Epoch(train) [156][280/1879] lr: 1.0000e-04 eta: 14:59:06 time: 0.2851 data_time: 0.0259 memory: 8198 grad_norm: 6.9869 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9621 loss: 0.9621 2022/08/03 13:56:51 - mmengine - INFO - Epoch(train) [156][300/1879] lr: 1.0000e-04 eta: 14:59:00 time: 0.2880 data_time: 0.0244 memory: 8198 grad_norm: 6.8969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/08/03 13:56:57 - mmengine - INFO - Epoch(train) [156][320/1879] lr: 1.0000e-04 eta: 14:58:55 time: 0.2852 data_time: 0.0234 memory: 8198 grad_norm: 6.9856 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1170 loss: 1.1170 2022/08/03 13:57:03 - mmengine - INFO - Epoch(train) [156][340/1879] lr: 1.0000e-04 eta: 14:58:49 time: 0.2849 data_time: 0.0249 memory: 8198 grad_norm: 6.9988 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8439 loss: 0.8439 2022/08/03 13:57:08 - mmengine - INFO - Epoch(train) [156][360/1879] lr: 1.0000e-04 eta: 14:58:43 time: 0.2814 data_time: 0.0216 memory: 8198 grad_norm: 7.1559 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1610 loss: 1.1610 2022/08/03 13:57:14 - mmengine - INFO - Epoch(train) [156][380/1879] lr: 1.0000e-04 eta: 14:58:38 time: 0.3021 data_time: 0.0203 memory: 8198 grad_norm: 7.0893 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1071 loss: 1.1071 2022/08/03 13:57:20 - mmengine - INFO - Epoch(train) [156][400/1879] lr: 1.0000e-04 eta: 14:58:32 time: 0.2949 data_time: 0.0341 memory: 8198 grad_norm: 7.0171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/08/03 13:57:26 - mmengine - INFO - Epoch(train) [156][420/1879] lr: 1.0000e-04 eta: 14:58:27 time: 0.2832 data_time: 0.0207 memory: 8198 grad_norm: 6.6989 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0103 loss: 1.0103 2022/08/03 13:57:32 - mmengine - INFO - Epoch(train) [156][440/1879] lr: 1.0000e-04 eta: 14:58:21 time: 0.2872 data_time: 0.0241 memory: 8198 grad_norm: 6.8787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1012 loss: 1.1012 2022/08/03 13:57:37 - mmengine - INFO - Epoch(train) [156][460/1879] lr: 1.0000e-04 eta: 14:58:15 time: 0.2873 data_time: 0.0219 memory: 8198 grad_norm: 6.9187 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0405 loss: 1.0405 2022/08/03 13:57:43 - mmengine - INFO - Epoch(train) [156][480/1879] lr: 1.0000e-04 eta: 14:58:10 time: 0.2892 data_time: 0.0275 memory: 8198 grad_norm: 6.7259 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8906 loss: 0.8906 2022/08/03 13:57:49 - mmengine - INFO - Epoch(train) [156][500/1879] lr: 1.0000e-04 eta: 14:58:04 time: 0.2895 data_time: 0.0244 memory: 8198 grad_norm: 6.6737 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0613 loss: 1.0613 2022/08/03 13:57:55 - mmengine - INFO - Epoch(train) [156][520/1879] lr: 1.0000e-04 eta: 14:57:58 time: 0.2847 data_time: 0.0205 memory: 8198 grad_norm: 6.8813 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/08/03 13:58:01 - mmengine - INFO - Epoch(train) [156][540/1879] lr: 1.0000e-04 eta: 14:57:53 time: 0.2890 data_time: 0.0229 memory: 8198 grad_norm: 6.7614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0857 loss: 1.0857 2022/08/03 13:58:06 - mmengine - INFO - Epoch(train) [156][560/1879] lr: 1.0000e-04 eta: 14:57:47 time: 0.2825 data_time: 0.0215 memory: 8198 grad_norm: 6.7307 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7720 loss: 0.7720 2022/08/03 13:58:12 - mmengine - INFO - Epoch(train) [156][580/1879] lr: 1.0000e-04 eta: 14:57:41 time: 0.2908 data_time: 0.0253 memory: 8198 grad_norm: 6.9554 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9935 loss: 0.9935 2022/08/03 13:58:18 - mmengine - INFO - Epoch(train) [156][600/1879] lr: 1.0000e-04 eta: 14:57:36 time: 0.2828 data_time: 0.0234 memory: 8198 grad_norm: 6.8371 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9628 loss: 0.9628 2022/08/03 13:58:24 - mmengine - INFO - Epoch(train) [156][620/1879] lr: 1.0000e-04 eta: 14:57:30 time: 0.2866 data_time: 0.0218 memory: 8198 grad_norm: 6.9568 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0444 loss: 1.0444 2022/08/03 13:58:29 - mmengine - INFO - Epoch(train) [156][640/1879] lr: 1.0000e-04 eta: 14:57:24 time: 0.2910 data_time: 0.0209 memory: 8198 grad_norm: 7.1527 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/08/03 13:58:35 - mmengine - INFO - Epoch(train) [156][660/1879] lr: 1.0000e-04 eta: 14:57:19 time: 0.2844 data_time: 0.0234 memory: 8198 grad_norm: 6.8198 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8523 loss: 0.8523 2022/08/03 13:58:41 - mmengine - INFO - Epoch(train) [156][680/1879] lr: 1.0000e-04 eta: 14:57:13 time: 0.2842 data_time: 0.0256 memory: 8198 grad_norm: 7.1548 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0642 loss: 1.0642 2022/08/03 13:58:47 - mmengine - INFO - Epoch(train) [156][700/1879] lr: 1.0000e-04 eta: 14:57:07 time: 0.2849 data_time: 0.0234 memory: 8198 grad_norm: 6.9469 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0303 loss: 1.0303 2022/08/03 13:58:52 - mmengine - INFO - Epoch(train) [156][720/1879] lr: 1.0000e-04 eta: 14:57:02 time: 0.2869 data_time: 0.0270 memory: 8198 grad_norm: 6.9717 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9264 loss: 0.9264 2022/08/03 13:58:58 - mmengine - INFO - Epoch(train) [156][740/1879] lr: 1.0000e-04 eta: 14:56:56 time: 0.2853 data_time: 0.0225 memory: 8198 grad_norm: 6.8343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/08/03 13:59:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 13:59:04 - mmengine - INFO - Epoch(train) [156][760/1879] lr: 1.0000e-04 eta: 14:56:50 time: 0.2887 data_time: 0.0210 memory: 8198 grad_norm: 6.7960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9897 loss: 0.9897 2022/08/03 13:59:10 - mmengine - INFO - Epoch(train) [156][780/1879] lr: 1.0000e-04 eta: 14:56:45 time: 0.2888 data_time: 0.0228 memory: 8198 grad_norm: 7.0378 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9649 loss: 0.9649 2022/08/03 13:59:15 - mmengine - INFO - Epoch(train) [156][800/1879] lr: 1.0000e-04 eta: 14:56:39 time: 0.2813 data_time: 0.0221 memory: 8198 grad_norm: 6.7055 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9415 loss: 0.9415 2022/08/03 13:59:21 - mmengine - INFO - Epoch(train) [156][820/1879] lr: 1.0000e-04 eta: 14:56:33 time: 0.2893 data_time: 0.0209 memory: 8198 grad_norm: 6.9850 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9330 loss: 0.9330 2022/08/03 13:59:27 - mmengine - INFO - Epoch(train) [156][840/1879] lr: 1.0000e-04 eta: 14:56:28 time: 0.2861 data_time: 0.0205 memory: 8198 grad_norm: 7.0291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1304 loss: 1.1304 2022/08/03 13:59:33 - mmengine - INFO - Epoch(train) [156][860/1879] lr: 1.0000e-04 eta: 14:56:22 time: 0.2859 data_time: 0.0225 memory: 8198 grad_norm: 6.9789 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1359 loss: 1.1359 2022/08/03 13:59:38 - mmengine - INFO - Epoch(train) [156][880/1879] lr: 1.0000e-04 eta: 14:56:16 time: 0.2868 data_time: 0.0221 memory: 8198 grad_norm: 6.7810 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8869 loss: 0.8869 2022/08/03 13:59:44 - mmengine - INFO - Epoch(train) [156][900/1879] lr: 1.0000e-04 eta: 14:56:10 time: 0.2860 data_time: 0.0261 memory: 8198 grad_norm: 6.8320 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9865 loss: 0.9865 2022/08/03 13:59:50 - mmengine - INFO - Epoch(train) [156][920/1879] lr: 1.0000e-04 eta: 14:56:05 time: 0.2830 data_time: 0.0213 memory: 8198 grad_norm: 6.8952 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1153 loss: 1.1153 2022/08/03 13:59:55 - mmengine - INFO - Epoch(train) [156][940/1879] lr: 1.0000e-04 eta: 14:55:59 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 6.8823 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8222 loss: 0.8222 2022/08/03 14:00:01 - mmengine - INFO - Epoch(train) [156][960/1879] lr: 1.0000e-04 eta: 14:55:53 time: 0.2897 data_time: 0.0281 memory: 8198 grad_norm: 6.7920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0409 loss: 1.0409 2022/08/03 14:00:07 - mmengine - INFO - Epoch(train) [156][980/1879] lr: 1.0000e-04 eta: 14:55:48 time: 0.2856 data_time: 0.0249 memory: 8198 grad_norm: 6.6075 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9890 loss: 0.9890 2022/08/03 14:00:13 - mmengine - INFO - Epoch(train) [156][1000/1879] lr: 1.0000e-04 eta: 14:55:42 time: 0.2842 data_time: 0.0198 memory: 8198 grad_norm: 6.7030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/08/03 14:00:18 - mmengine - INFO - Epoch(train) [156][1020/1879] lr: 1.0000e-04 eta: 14:55:36 time: 0.2860 data_time: 0.0261 memory: 8198 grad_norm: 6.9004 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9321 loss: 0.9321 2022/08/03 14:00:24 - mmengine - INFO - Epoch(train) [156][1040/1879] lr: 1.0000e-04 eta: 14:55:31 time: 0.2879 data_time: 0.0223 memory: 8198 grad_norm: 6.8808 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8635 loss: 0.8635 2022/08/03 14:00:30 - mmengine - INFO - Epoch(train) [156][1060/1879] lr: 1.0000e-04 eta: 14:55:25 time: 0.2869 data_time: 0.0197 memory: 8198 grad_norm: 6.5875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8235 loss: 0.8235 2022/08/03 14:00:36 - mmengine - INFO - Epoch(train) [156][1080/1879] lr: 1.0000e-04 eta: 14:55:19 time: 0.2817 data_time: 0.0249 memory: 8198 grad_norm: 6.8804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9549 loss: 0.9549 2022/08/03 14:00:41 - mmengine - INFO - Epoch(train) [156][1100/1879] lr: 1.0000e-04 eta: 14:55:14 time: 0.2900 data_time: 0.0230 memory: 8198 grad_norm: 6.8243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9702 loss: 0.9702 2022/08/03 14:00:47 - mmengine - INFO - Epoch(train) [156][1120/1879] lr: 1.0000e-04 eta: 14:55:08 time: 0.2868 data_time: 0.0231 memory: 8198 grad_norm: 7.0179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0481 loss: 1.0481 2022/08/03 14:00:53 - mmengine - INFO - Epoch(train) [156][1140/1879] lr: 1.0000e-04 eta: 14:55:02 time: 0.2909 data_time: 0.0237 memory: 8198 grad_norm: 6.7247 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9797 loss: 0.9797 2022/08/03 14:00:59 - mmengine - INFO - Epoch(train) [156][1160/1879] lr: 1.0000e-04 eta: 14:54:57 time: 0.2826 data_time: 0.0208 memory: 8198 grad_norm: 6.9199 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0771 loss: 1.0771 2022/08/03 14:01:05 - mmengine - INFO - Epoch(train) [156][1180/1879] lr: 1.0000e-04 eta: 14:54:51 time: 0.2920 data_time: 0.0253 memory: 8198 grad_norm: 6.9518 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0162 loss: 1.0162 2022/08/03 14:01:10 - mmengine - INFO - Epoch(train) [156][1200/1879] lr: 1.0000e-04 eta: 14:54:45 time: 0.2847 data_time: 0.0221 memory: 8198 grad_norm: 6.8057 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9427 loss: 0.9427 2022/08/03 14:01:16 - mmengine - INFO - Epoch(train) [156][1220/1879] lr: 1.0000e-04 eta: 14:54:40 time: 0.2927 data_time: 0.0254 memory: 8198 grad_norm: 6.8297 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0315 loss: 1.0315 2022/08/03 14:01:22 - mmengine - INFO - Epoch(train) [156][1240/1879] lr: 1.0000e-04 eta: 14:54:34 time: 0.2813 data_time: 0.0195 memory: 8198 grad_norm: 6.8374 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0210 loss: 1.0210 2022/08/03 14:01:28 - mmengine - INFO - Epoch(train) [156][1260/1879] lr: 1.0000e-04 eta: 14:54:28 time: 0.2834 data_time: 0.0210 memory: 8198 grad_norm: 6.9707 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/08/03 14:01:33 - mmengine - INFO - Epoch(train) [156][1280/1879] lr: 1.0000e-04 eta: 14:54:23 time: 0.2869 data_time: 0.0167 memory: 8198 grad_norm: 6.9942 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9499 loss: 0.9499 2022/08/03 14:01:39 - mmengine - INFO - Epoch(train) [156][1300/1879] lr: 1.0000e-04 eta: 14:54:17 time: 0.2861 data_time: 0.0249 memory: 8198 grad_norm: 6.8614 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9602 loss: 0.9602 2022/08/03 14:01:45 - mmengine - INFO - Epoch(train) [156][1320/1879] lr: 1.0000e-04 eta: 14:54:11 time: 0.2840 data_time: 0.0202 memory: 8198 grad_norm: 6.7431 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8825 loss: 0.8825 2022/08/03 14:01:51 - mmengine - INFO - Epoch(train) [156][1340/1879] lr: 1.0000e-04 eta: 14:54:06 time: 0.2954 data_time: 0.0279 memory: 8198 grad_norm: 6.7838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0169 loss: 1.0169 2022/08/03 14:01:56 - mmengine - INFO - Epoch(train) [156][1360/1879] lr: 1.0000e-04 eta: 14:54:00 time: 0.2845 data_time: 0.0205 memory: 8198 grad_norm: 7.3023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/08/03 14:02:02 - mmengine - INFO - Epoch(train) [156][1380/1879] lr: 1.0000e-04 eta: 14:53:54 time: 0.2893 data_time: 0.0297 memory: 8198 grad_norm: 6.9437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0884 loss: 1.0884 2022/08/03 14:02:08 - mmengine - INFO - Epoch(train) [156][1400/1879] lr: 1.0000e-04 eta: 14:53:49 time: 0.2827 data_time: 0.0211 memory: 8198 grad_norm: 6.6920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9328 loss: 0.9328 2022/08/03 14:02:14 - mmengine - INFO - Epoch(train) [156][1420/1879] lr: 1.0000e-04 eta: 14:53:43 time: 0.3093 data_time: 0.0280 memory: 8198 grad_norm: 6.8484 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0574 loss: 1.0574 2022/08/03 14:02:20 - mmengine - INFO - Epoch(train) [156][1440/1879] lr: 1.0000e-04 eta: 14:53:38 time: 0.2939 data_time: 0.0325 memory: 8198 grad_norm: 7.0078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/08/03 14:02:26 - mmengine - INFO - Epoch(train) [156][1460/1879] lr: 1.0000e-04 eta: 14:53:32 time: 0.2884 data_time: 0.0257 memory: 8198 grad_norm: 6.7111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/08/03 14:02:32 - mmengine - INFO - Epoch(train) [156][1480/1879] lr: 1.0000e-04 eta: 14:53:26 time: 0.2882 data_time: 0.0224 memory: 8198 grad_norm: 7.0335 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/03 14:02:37 - mmengine - INFO - Epoch(train) [156][1500/1879] lr: 1.0000e-04 eta: 14:53:21 time: 0.2849 data_time: 0.0227 memory: 8198 grad_norm: 6.9725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9686 loss: 0.9686 2022/08/03 14:02:43 - mmengine - INFO - Epoch(train) [156][1520/1879] lr: 1.0000e-04 eta: 14:53:15 time: 0.2885 data_time: 0.0189 memory: 8198 grad_norm: 6.8817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1885 loss: 1.1885 2022/08/03 14:02:49 - mmengine - INFO - Epoch(train) [156][1540/1879] lr: 1.0000e-04 eta: 14:53:09 time: 0.2842 data_time: 0.0272 memory: 8198 grad_norm: 6.8808 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/08/03 14:02:55 - mmengine - INFO - Epoch(train) [156][1560/1879] lr: 1.0000e-04 eta: 14:53:04 time: 0.3004 data_time: 0.0174 memory: 8198 grad_norm: 6.7096 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1127 loss: 1.1127 2022/08/03 14:03:01 - mmengine - INFO - Epoch(train) [156][1580/1879] lr: 1.0000e-04 eta: 14:52:58 time: 0.2903 data_time: 0.0217 memory: 8198 grad_norm: 6.6911 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9610 loss: 0.9610 2022/08/03 14:03:06 - mmengine - INFO - Epoch(train) [156][1600/1879] lr: 1.0000e-04 eta: 14:52:53 time: 0.2863 data_time: 0.0259 memory: 8198 grad_norm: 7.0860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0446 loss: 1.0446 2022/08/03 14:03:12 - mmengine - INFO - Epoch(train) [156][1620/1879] lr: 1.0000e-04 eta: 14:52:47 time: 0.2877 data_time: 0.0245 memory: 8198 grad_norm: 6.9631 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8896 loss: 0.8896 2022/08/03 14:03:18 - mmengine - INFO - Epoch(train) [156][1640/1879] lr: 1.0000e-04 eta: 14:52:41 time: 0.2874 data_time: 0.0235 memory: 8198 grad_norm: 6.8231 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9787 loss: 0.9787 2022/08/03 14:03:24 - mmengine - INFO - Epoch(train) [156][1660/1879] lr: 1.0000e-04 eta: 14:52:36 time: 0.2835 data_time: 0.0254 memory: 8198 grad_norm: 7.0879 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9275 loss: 0.9275 2022/08/03 14:03:29 - mmengine - INFO - Epoch(train) [156][1680/1879] lr: 1.0000e-04 eta: 14:52:30 time: 0.2824 data_time: 0.0197 memory: 8198 grad_norm: 6.9768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/03 14:03:35 - mmengine - INFO - Epoch(train) [156][1700/1879] lr: 1.0000e-04 eta: 14:52:24 time: 0.2908 data_time: 0.0228 memory: 8198 grad_norm: 6.9007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1724 loss: 1.1724 2022/08/03 14:03:41 - mmengine - INFO - Epoch(train) [156][1720/1879] lr: 1.0000e-04 eta: 14:52:19 time: 0.2825 data_time: 0.0180 memory: 8198 grad_norm: 7.1322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0191 loss: 1.0191 2022/08/03 14:03:46 - mmengine - INFO - Epoch(train) [156][1740/1879] lr: 1.0000e-04 eta: 14:52:13 time: 0.2837 data_time: 0.0241 memory: 8198 grad_norm: 6.9259 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0498 loss: 1.0498 2022/08/03 14:03:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:03:52 - mmengine - INFO - Epoch(train) [156][1760/1879] lr: 1.0000e-04 eta: 14:52:07 time: 0.2882 data_time: 0.0251 memory: 8198 grad_norm: 6.9155 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0483 loss: 1.0483 2022/08/03 14:03:58 - mmengine - INFO - Epoch(train) [156][1780/1879] lr: 1.0000e-04 eta: 14:52:02 time: 0.2855 data_time: 0.0260 memory: 8198 grad_norm: 6.9777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8656 loss: 0.8656 2022/08/03 14:04:04 - mmengine - INFO - Epoch(train) [156][1800/1879] lr: 1.0000e-04 eta: 14:51:56 time: 0.2836 data_time: 0.0206 memory: 8198 grad_norm: 6.9789 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1043 loss: 1.1043 2022/08/03 14:04:10 - mmengine - INFO - Epoch(train) [156][1820/1879] lr: 1.0000e-04 eta: 14:51:50 time: 0.2885 data_time: 0.0259 memory: 8198 grad_norm: 7.0037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0633 loss: 1.0633 2022/08/03 14:04:15 - mmengine - INFO - Epoch(train) [156][1840/1879] lr: 1.0000e-04 eta: 14:51:44 time: 0.2851 data_time: 0.0188 memory: 8198 grad_norm: 6.9248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0828 loss: 1.0828 2022/08/03 14:04:21 - mmengine - INFO - Epoch(train) [156][1860/1879] lr: 1.0000e-04 eta: 14:51:39 time: 0.2847 data_time: 0.0193 memory: 8198 grad_norm: 6.9349 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/08/03 14:04:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:04:26 - mmengine - INFO - Epoch(train) [156][1879/1879] lr: 1.0000e-04 eta: 14:51:39 time: 0.2558 data_time: 0.0128 memory: 8198 grad_norm: 7.2761 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0303 loss: 1.0303 2022/08/03 14:04:26 - mmengine - INFO - Saving checkpoint at 156 epochs 2022/08/03 14:04:35 - mmengine - INFO - Epoch(train) [157][20/1879] lr: 1.0000e-04 eta: 14:51:25 time: 0.3578 data_time: 0.0967 memory: 8198 grad_norm: 6.9388 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1383 loss: 1.1383 2022/08/03 14:04:41 - mmengine - INFO - Epoch(train) [157][40/1879] lr: 1.0000e-04 eta: 14:51:20 time: 0.2922 data_time: 0.0205 memory: 8198 grad_norm: 6.9809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9368 loss: 0.9368 2022/08/03 14:04:47 - mmengine - INFO - Epoch(train) [157][60/1879] lr: 1.0000e-04 eta: 14:51:14 time: 0.2886 data_time: 0.0228 memory: 8198 grad_norm: 6.9451 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/08/03 14:04:53 - mmengine - INFO - Epoch(train) [157][80/1879] lr: 1.0000e-04 eta: 14:51:08 time: 0.2851 data_time: 0.0208 memory: 8198 grad_norm: 6.7746 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8491 loss: 0.8491 2022/08/03 14:04:58 - mmengine - INFO - Epoch(train) [157][100/1879] lr: 1.0000e-04 eta: 14:51:03 time: 0.2842 data_time: 0.0249 memory: 8198 grad_norm: 6.8279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8374 loss: 0.8374 2022/08/03 14:05:04 - mmengine - INFO - Epoch(train) [157][120/1879] lr: 1.0000e-04 eta: 14:50:57 time: 0.2971 data_time: 0.0232 memory: 8198 grad_norm: 7.1279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1065 loss: 1.1065 2022/08/03 14:05:10 - mmengine - INFO - Epoch(train) [157][140/1879] lr: 1.0000e-04 eta: 14:50:51 time: 0.2971 data_time: 0.0331 memory: 8198 grad_norm: 6.7717 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0300 loss: 1.0300 2022/08/03 14:05:16 - mmengine - INFO - Epoch(train) [157][160/1879] lr: 1.0000e-04 eta: 14:50:46 time: 0.2817 data_time: 0.0216 memory: 8198 grad_norm: 6.7697 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9177 loss: 0.9177 2022/08/03 14:05:22 - mmengine - INFO - Epoch(train) [157][180/1879] lr: 1.0000e-04 eta: 14:50:40 time: 0.2884 data_time: 0.0231 memory: 8198 grad_norm: 7.0689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0716 loss: 1.0716 2022/08/03 14:05:27 - mmengine - INFO - Epoch(train) [157][200/1879] lr: 1.0000e-04 eta: 14:50:34 time: 0.2837 data_time: 0.0170 memory: 8198 grad_norm: 7.2347 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2030 loss: 1.2030 2022/08/03 14:05:33 - mmengine - INFO - Epoch(train) [157][220/1879] lr: 1.0000e-04 eta: 14:50:29 time: 0.2885 data_time: 0.0251 memory: 8198 grad_norm: 6.9968 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9636 loss: 0.9636 2022/08/03 14:05:39 - mmengine - INFO - Epoch(train) [157][240/1879] lr: 1.0000e-04 eta: 14:50:23 time: 0.2882 data_time: 0.0240 memory: 8198 grad_norm: 6.8725 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9060 loss: 0.9060 2022/08/03 14:05:45 - mmengine - INFO - Epoch(train) [157][260/1879] lr: 1.0000e-04 eta: 14:50:18 time: 0.2968 data_time: 0.0200 memory: 8198 grad_norm: 6.9089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/08/03 14:05:51 - mmengine - INFO - Epoch(train) [157][280/1879] lr: 1.0000e-04 eta: 14:50:12 time: 0.2858 data_time: 0.0284 memory: 8198 grad_norm: 7.1430 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0195 loss: 1.0195 2022/08/03 14:05:56 - mmengine - INFO - Epoch(train) [157][300/1879] lr: 1.0000e-04 eta: 14:50:06 time: 0.2819 data_time: 0.0197 memory: 8198 grad_norm: 6.8449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9375 loss: 0.9375 2022/08/03 14:06:02 - mmengine - INFO - Epoch(train) [157][320/1879] lr: 1.0000e-04 eta: 14:50:00 time: 0.2854 data_time: 0.0215 memory: 8198 grad_norm: 6.6780 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/03 14:06:08 - mmengine - INFO - Epoch(train) [157][340/1879] lr: 1.0000e-04 eta: 14:49:55 time: 0.2864 data_time: 0.0237 memory: 8198 grad_norm: 6.7233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0141 loss: 1.0141 2022/08/03 14:06:14 - mmengine - INFO - Epoch(train) [157][360/1879] lr: 1.0000e-04 eta: 14:49:49 time: 0.2841 data_time: 0.0215 memory: 8198 grad_norm: 6.8086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0557 loss: 1.0557 2022/08/03 14:06:19 - mmengine - INFO - Epoch(train) [157][380/1879] lr: 1.0000e-04 eta: 14:49:43 time: 0.2809 data_time: 0.0201 memory: 8198 grad_norm: 6.8848 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9557 loss: 0.9557 2022/08/03 14:06:25 - mmengine - INFO - Epoch(train) [157][400/1879] lr: 1.0000e-04 eta: 14:49:38 time: 0.2865 data_time: 0.0294 memory: 8198 grad_norm: 6.8211 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0742 loss: 1.0742 2022/08/03 14:06:31 - mmengine - INFO - Epoch(train) [157][420/1879] lr: 1.0000e-04 eta: 14:49:32 time: 0.2873 data_time: 0.0201 memory: 8198 grad_norm: 7.0168 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0451 loss: 1.0451 2022/08/03 14:06:36 - mmengine - INFO - Epoch(train) [157][440/1879] lr: 1.0000e-04 eta: 14:49:26 time: 0.2824 data_time: 0.0238 memory: 8198 grad_norm: 6.8499 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9021 loss: 0.9021 2022/08/03 14:06:42 - mmengine - INFO - Epoch(train) [157][460/1879] lr: 1.0000e-04 eta: 14:49:21 time: 0.2870 data_time: 0.0238 memory: 8198 grad_norm: 6.8533 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2109 loss: 1.2109 2022/08/03 14:06:48 - mmengine - INFO - Epoch(train) [157][480/1879] lr: 1.0000e-04 eta: 14:49:15 time: 0.2836 data_time: 0.0217 memory: 8198 grad_norm: 6.9412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9345 loss: 0.9345 2022/08/03 14:06:54 - mmengine - INFO - Epoch(train) [157][500/1879] lr: 1.0000e-04 eta: 14:49:09 time: 0.2838 data_time: 0.0229 memory: 8198 grad_norm: 6.7779 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0570 loss: 1.0570 2022/08/03 14:06:59 - mmengine - INFO - Epoch(train) [157][520/1879] lr: 1.0000e-04 eta: 14:49:03 time: 0.2818 data_time: 0.0223 memory: 8198 grad_norm: 6.9626 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9621 loss: 0.9621 2022/08/03 14:07:05 - mmengine - INFO - Epoch(train) [157][540/1879] lr: 1.0000e-04 eta: 14:48:58 time: 0.3011 data_time: 0.0197 memory: 8198 grad_norm: 6.8291 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9177 loss: 0.9177 2022/08/03 14:07:11 - mmengine - INFO - Epoch(train) [157][560/1879] lr: 1.0000e-04 eta: 14:48:52 time: 0.2845 data_time: 0.0251 memory: 8198 grad_norm: 7.0752 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9159 loss: 0.9159 2022/08/03 14:07:17 - mmengine - INFO - Epoch(train) [157][580/1879] lr: 1.0000e-04 eta: 14:48:47 time: 0.2845 data_time: 0.0235 memory: 8198 grad_norm: 6.9626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8877 loss: 0.8877 2022/08/03 14:07:23 - mmengine - INFO - Epoch(train) [157][600/1879] lr: 1.0000e-04 eta: 14:48:41 time: 0.3101 data_time: 0.0210 memory: 8198 grad_norm: 7.0013 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1710 loss: 1.1710 2022/08/03 14:07:29 - mmengine - INFO - Epoch(train) [157][620/1879] lr: 1.0000e-04 eta: 14:48:36 time: 0.2825 data_time: 0.0231 memory: 8198 grad_norm: 7.1871 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/08/03 14:07:34 - mmengine - INFO - Epoch(train) [157][640/1879] lr: 1.0000e-04 eta: 14:48:30 time: 0.2891 data_time: 0.0227 memory: 8198 grad_norm: 7.0111 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1685 loss: 1.1685 2022/08/03 14:07:40 - mmengine - INFO - Epoch(train) [157][660/1879] lr: 1.0000e-04 eta: 14:48:24 time: 0.2947 data_time: 0.0248 memory: 8198 grad_norm: 6.8303 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9698 loss: 0.9698 2022/08/03 14:07:46 - mmengine - INFO - Epoch(train) [157][680/1879] lr: 1.0000e-04 eta: 14:48:19 time: 0.2839 data_time: 0.0216 memory: 8198 grad_norm: 7.0974 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1220 loss: 1.1220 2022/08/03 14:07:52 - mmengine - INFO - Epoch(train) [157][700/1879] lr: 1.0000e-04 eta: 14:48:13 time: 0.2844 data_time: 0.0242 memory: 8198 grad_norm: 7.1629 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0060 loss: 1.0060 2022/08/03 14:07:57 - mmengine - INFO - Epoch(train) [157][720/1879] lr: 1.0000e-04 eta: 14:48:07 time: 0.2828 data_time: 0.0209 memory: 8198 grad_norm: 6.8475 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9672 loss: 0.9672 2022/08/03 14:08:03 - mmengine - INFO - Epoch(train) [157][740/1879] lr: 1.0000e-04 eta: 14:48:02 time: 0.2920 data_time: 0.0300 memory: 8198 grad_norm: 6.7004 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9136 loss: 0.9136 2022/08/03 14:08:09 - mmengine - INFO - Epoch(train) [157][760/1879] lr: 1.0000e-04 eta: 14:47:56 time: 0.2832 data_time: 0.0223 memory: 8198 grad_norm: 6.9474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9505 loss: 0.9505 2022/08/03 14:08:15 - mmengine - INFO - Epoch(train) [157][780/1879] lr: 1.0000e-04 eta: 14:47:50 time: 0.2887 data_time: 0.0212 memory: 8198 grad_norm: 7.0135 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9968 loss: 0.9968 2022/08/03 14:08:20 - mmengine - INFO - Epoch(train) [157][800/1879] lr: 1.0000e-04 eta: 14:47:45 time: 0.2859 data_time: 0.0216 memory: 8198 grad_norm: 6.8888 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8751 loss: 0.8751 2022/08/03 14:08:26 - mmengine - INFO - Epoch(train) [157][820/1879] lr: 1.0000e-04 eta: 14:47:39 time: 0.2846 data_time: 0.0206 memory: 8198 grad_norm: 6.9989 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8324 loss: 0.8324 2022/08/03 14:08:32 - mmengine - INFO - Epoch(train) [157][840/1879] lr: 1.0000e-04 eta: 14:47:33 time: 0.2887 data_time: 0.0228 memory: 8198 grad_norm: 7.0283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/08/03 14:08:38 - mmengine - INFO - Epoch(train) [157][860/1879] lr: 1.0000e-04 eta: 14:47:28 time: 0.2869 data_time: 0.0241 memory: 8198 grad_norm: 6.8998 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2134 loss: 1.2134 2022/08/03 14:08:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:08:43 - mmengine - INFO - Epoch(train) [157][880/1879] lr: 1.0000e-04 eta: 14:47:22 time: 0.2857 data_time: 0.0188 memory: 8198 grad_norm: 6.8343 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0299 loss: 1.0299 2022/08/03 14:08:49 - mmengine - INFO - Epoch(train) [157][900/1879] lr: 1.0000e-04 eta: 14:47:16 time: 0.2885 data_time: 0.0273 memory: 8198 grad_norm: 7.0393 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1089 loss: 1.1089 2022/08/03 14:08:55 - mmengine - INFO - Epoch(train) [157][920/1879] lr: 1.0000e-04 eta: 14:47:10 time: 0.2813 data_time: 0.0238 memory: 8198 grad_norm: 6.8625 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9235 loss: 0.9235 2022/08/03 14:09:01 - mmengine - INFO - Epoch(train) [157][940/1879] lr: 1.0000e-04 eta: 14:47:05 time: 0.2892 data_time: 0.0238 memory: 8198 grad_norm: 7.2001 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0995 loss: 1.0995 2022/08/03 14:09:06 - mmengine - INFO - Epoch(train) [157][960/1879] lr: 1.0000e-04 eta: 14:46:59 time: 0.2813 data_time: 0.0211 memory: 8198 grad_norm: 6.9982 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9578 loss: 0.9578 2022/08/03 14:09:12 - mmengine - INFO - Epoch(train) [157][980/1879] lr: 1.0000e-04 eta: 14:46:54 time: 0.2932 data_time: 0.0219 memory: 8198 grad_norm: 6.8482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0550 loss: 1.0550 2022/08/03 14:09:18 - mmengine - INFO - Epoch(train) [157][1000/1879] lr: 1.0000e-04 eta: 14:46:48 time: 0.2829 data_time: 0.0241 memory: 8198 grad_norm: 6.9087 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8498 loss: 0.8498 2022/08/03 14:09:24 - mmengine - INFO - Epoch(train) [157][1020/1879] lr: 1.0000e-04 eta: 14:46:42 time: 0.2972 data_time: 0.0208 memory: 8198 grad_norm: 6.8882 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0603 loss: 1.0603 2022/08/03 14:09:30 - mmengine - INFO - Epoch(train) [157][1040/1879] lr: 1.0000e-04 eta: 14:46:37 time: 0.2804 data_time: 0.0174 memory: 8198 grad_norm: 6.9286 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7928 loss: 0.7928 2022/08/03 14:09:35 - mmengine - INFO - Epoch(train) [157][1060/1879] lr: 1.0000e-04 eta: 14:46:31 time: 0.2906 data_time: 0.0218 memory: 8198 grad_norm: 7.0211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9315 loss: 0.9315 2022/08/03 14:09:41 - mmengine - INFO - Epoch(train) [157][1080/1879] lr: 1.0000e-04 eta: 14:46:25 time: 0.2901 data_time: 0.0191 memory: 8198 grad_norm: 6.7042 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0494 loss: 1.0494 2022/08/03 14:09:47 - mmengine - INFO - Epoch(train) [157][1100/1879] lr: 1.0000e-04 eta: 14:46:20 time: 0.2867 data_time: 0.0252 memory: 8198 grad_norm: 6.8695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9634 loss: 0.9634 2022/08/03 14:09:53 - mmengine - INFO - Epoch(train) [157][1120/1879] lr: 1.0000e-04 eta: 14:46:14 time: 0.2965 data_time: 0.0241 memory: 8198 grad_norm: 7.0739 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0792 loss: 1.0792 2022/08/03 14:09:59 - mmengine - INFO - Epoch(train) [157][1140/1879] lr: 1.0000e-04 eta: 14:46:08 time: 0.2804 data_time: 0.0206 memory: 8198 grad_norm: 6.7920 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8803 loss: 0.8803 2022/08/03 14:10:04 - mmengine - INFO - Epoch(train) [157][1160/1879] lr: 1.0000e-04 eta: 14:46:03 time: 0.2842 data_time: 0.0206 memory: 8198 grad_norm: 6.9537 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9978 loss: 0.9978 2022/08/03 14:10:10 - mmengine - INFO - Epoch(train) [157][1180/1879] lr: 1.0000e-04 eta: 14:45:57 time: 0.2863 data_time: 0.0228 memory: 8198 grad_norm: 7.1413 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9720 loss: 0.9720 2022/08/03 14:10:16 - mmengine - INFO - Epoch(train) [157][1200/1879] lr: 1.0000e-04 eta: 14:45:51 time: 0.2868 data_time: 0.0209 memory: 8198 grad_norm: 7.0313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9654 loss: 0.9654 2022/08/03 14:10:21 - mmengine - INFO - Epoch(train) [157][1220/1879] lr: 1.0000e-04 eta: 14:45:46 time: 0.2863 data_time: 0.0188 memory: 8198 grad_norm: 6.8230 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9667 loss: 0.9667 2022/08/03 14:10:27 - mmengine - INFO - Epoch(train) [157][1240/1879] lr: 1.0000e-04 eta: 14:45:40 time: 0.2824 data_time: 0.0227 memory: 8198 grad_norm: 7.0770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9067 loss: 0.9067 2022/08/03 14:10:33 - mmengine - INFO - Epoch(train) [157][1260/1879] lr: 1.0000e-04 eta: 14:45:34 time: 0.2864 data_time: 0.0227 memory: 8198 grad_norm: 6.9729 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9342 loss: 0.9342 2022/08/03 14:10:39 - mmengine - INFO - Epoch(train) [157][1280/1879] lr: 1.0000e-04 eta: 14:45:29 time: 0.2829 data_time: 0.0204 memory: 8198 grad_norm: 6.7419 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0477 loss: 1.0477 2022/08/03 14:10:44 - mmengine - INFO - Epoch(train) [157][1300/1879] lr: 1.0000e-04 eta: 14:45:23 time: 0.2837 data_time: 0.0231 memory: 8198 grad_norm: 6.8769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/08/03 14:10:50 - mmengine - INFO - Epoch(train) [157][1320/1879] lr: 1.0000e-04 eta: 14:45:17 time: 0.2840 data_time: 0.0184 memory: 8198 grad_norm: 6.9455 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9304 loss: 0.9304 2022/08/03 14:10:56 - mmengine - INFO - Epoch(train) [157][1340/1879] lr: 1.0000e-04 eta: 14:45:11 time: 0.2877 data_time: 0.0258 memory: 8198 grad_norm: 7.1204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/08/03 14:11:01 - mmengine - INFO - Epoch(train) [157][1360/1879] lr: 1.0000e-04 eta: 14:45:06 time: 0.2849 data_time: 0.0303 memory: 8198 grad_norm: 6.8394 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/08/03 14:11:07 - mmengine - INFO - Epoch(train) [157][1380/1879] lr: 1.0000e-04 eta: 14:45:00 time: 0.2857 data_time: 0.0234 memory: 8198 grad_norm: 6.7354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9533 loss: 0.9533 2022/08/03 14:11:13 - mmengine - INFO - Epoch(train) [157][1400/1879] lr: 1.0000e-04 eta: 14:44:54 time: 0.2863 data_time: 0.0236 memory: 8198 grad_norm: 7.2272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0478 loss: 1.0478 2022/08/03 14:11:19 - mmengine - INFO - Epoch(train) [157][1420/1879] lr: 1.0000e-04 eta: 14:44:49 time: 0.2895 data_time: 0.0269 memory: 8198 grad_norm: 6.8740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/08/03 14:11:25 - mmengine - INFO - Epoch(train) [157][1440/1879] lr: 1.0000e-04 eta: 14:44:43 time: 0.2897 data_time: 0.0210 memory: 8198 grad_norm: 6.6958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/08/03 14:11:31 - mmengine - INFO - Epoch(train) [157][1460/1879] lr: 1.0000e-04 eta: 14:44:38 time: 0.2991 data_time: 0.0203 memory: 8198 grad_norm: 6.8712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0984 loss: 1.0984 2022/08/03 14:11:36 - mmengine - INFO - Epoch(train) [157][1480/1879] lr: 1.0000e-04 eta: 14:44:32 time: 0.2800 data_time: 0.0225 memory: 8198 grad_norm: 6.8688 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8737 loss: 0.8737 2022/08/03 14:11:42 - mmengine - INFO - Epoch(train) [157][1500/1879] lr: 1.0000e-04 eta: 14:44:26 time: 0.2874 data_time: 0.0244 memory: 8198 grad_norm: 7.0595 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/08/03 14:11:48 - mmengine - INFO - Epoch(train) [157][1520/1879] lr: 1.0000e-04 eta: 14:44:21 time: 0.2852 data_time: 0.0206 memory: 8198 grad_norm: 6.9615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0402 loss: 1.0402 2022/08/03 14:11:54 - mmengine - INFO - Epoch(train) [157][1540/1879] lr: 1.0000e-04 eta: 14:44:15 time: 0.2883 data_time: 0.0236 memory: 8198 grad_norm: 6.6901 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9543 loss: 0.9543 2022/08/03 14:11:59 - mmengine - INFO - Epoch(train) [157][1560/1879] lr: 1.0000e-04 eta: 14:44:09 time: 0.2860 data_time: 0.0226 memory: 8198 grad_norm: 7.0008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9874 loss: 0.9874 2022/08/03 14:12:05 - mmengine - INFO - Epoch(train) [157][1580/1879] lr: 1.0000e-04 eta: 14:44:03 time: 0.2838 data_time: 0.0224 memory: 8198 grad_norm: 6.7653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8917 loss: 0.8917 2022/08/03 14:12:11 - mmengine - INFO - Epoch(train) [157][1600/1879] lr: 1.0000e-04 eta: 14:43:58 time: 0.2884 data_time: 0.0226 memory: 8198 grad_norm: 6.8524 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9530 loss: 0.9530 2022/08/03 14:12:16 - mmengine - INFO - Epoch(train) [157][1620/1879] lr: 1.0000e-04 eta: 14:43:52 time: 0.2841 data_time: 0.0201 memory: 8198 grad_norm: 6.8781 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/03 14:12:22 - mmengine - INFO - Epoch(train) [157][1640/1879] lr: 1.0000e-04 eta: 14:43:46 time: 0.2875 data_time: 0.0222 memory: 8198 grad_norm: 6.8048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/08/03 14:12:28 - mmengine - INFO - Epoch(train) [157][1660/1879] lr: 1.0000e-04 eta: 14:43:41 time: 0.2837 data_time: 0.0239 memory: 8198 grad_norm: 6.8802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8987 loss: 0.8987 2022/08/03 14:12:34 - mmengine - INFO - Epoch(train) [157][1680/1879] lr: 1.0000e-04 eta: 14:43:35 time: 0.2912 data_time: 0.0246 memory: 8198 grad_norm: 6.8531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0613 loss: 1.0613 2022/08/03 14:12:40 - mmengine - INFO - Epoch(train) [157][1700/1879] lr: 1.0000e-04 eta: 14:43:30 time: 0.2885 data_time: 0.0237 memory: 8198 grad_norm: 6.9004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0885 loss: 1.0885 2022/08/03 14:12:45 - mmengine - INFO - Epoch(train) [157][1720/1879] lr: 1.0000e-04 eta: 14:43:24 time: 0.2862 data_time: 0.0226 memory: 8198 grad_norm: 7.0259 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0155 loss: 1.0155 2022/08/03 14:12:51 - mmengine - INFO - Epoch(train) [157][1740/1879] lr: 1.0000e-04 eta: 14:43:18 time: 0.2928 data_time: 0.0190 memory: 8198 grad_norm: 7.0384 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2604 loss: 1.2604 2022/08/03 14:12:57 - mmengine - INFO - Epoch(train) [157][1760/1879] lr: 1.0000e-04 eta: 14:43:13 time: 0.2825 data_time: 0.0171 memory: 8198 grad_norm: 6.9499 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9855 loss: 0.9855 2022/08/03 14:13:03 - mmengine - INFO - Epoch(train) [157][1780/1879] lr: 1.0000e-04 eta: 14:43:07 time: 0.2849 data_time: 0.0242 memory: 8198 grad_norm: 7.1190 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9041 loss: 0.9041 2022/08/03 14:13:08 - mmengine - INFO - Epoch(train) [157][1800/1879] lr: 1.0000e-04 eta: 14:43:01 time: 0.2888 data_time: 0.0263 memory: 8198 grad_norm: 6.9936 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0250 loss: 1.0250 2022/08/03 14:13:14 - mmengine - INFO - Epoch(train) [157][1820/1879] lr: 1.0000e-04 eta: 14:42:56 time: 0.2893 data_time: 0.0276 memory: 8198 grad_norm: 6.7817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8997 loss: 0.8997 2022/08/03 14:13:20 - mmengine - INFO - Epoch(train) [157][1840/1879] lr: 1.0000e-04 eta: 14:42:50 time: 0.2862 data_time: 0.0288 memory: 8198 grad_norm: 6.7035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9487 loss: 0.9487 2022/08/03 14:13:26 - mmengine - INFO - Epoch(train) [157][1860/1879] lr: 1.0000e-04 eta: 14:42:44 time: 0.2865 data_time: 0.0287 memory: 8198 grad_norm: 6.7189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9555 loss: 0.9555 2022/08/03 14:13:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:13:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:13:32 - mmengine - INFO - Epoch(train) [157][1879/1879] lr: 1.0000e-04 eta: 14:42:44 time: 0.3085 data_time: 0.0174 memory: 8198 grad_norm: 7.1087 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/08/03 14:13:40 - mmengine - INFO - Epoch(train) [158][20/1879] lr: 1.0000e-04 eta: 14:42:31 time: 0.4175 data_time: 0.1275 memory: 8198 grad_norm: 6.9355 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1980 loss: 1.1980 2022/08/03 14:13:46 - mmengine - INFO - Epoch(train) [158][40/1879] lr: 1.0000e-04 eta: 14:42:26 time: 0.2869 data_time: 0.0243 memory: 8198 grad_norm: 6.9584 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9458 loss: 0.9458 2022/08/03 14:13:52 - mmengine - INFO - Epoch(train) [158][60/1879] lr: 1.0000e-04 eta: 14:42:20 time: 0.2920 data_time: 0.0237 memory: 8198 grad_norm: 6.8842 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9400 loss: 0.9400 2022/08/03 14:13:57 - mmengine - INFO - Epoch(train) [158][80/1879] lr: 1.0000e-04 eta: 14:42:14 time: 0.2902 data_time: 0.0216 memory: 8198 grad_norm: 6.6861 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0304 loss: 1.0304 2022/08/03 14:14:03 - mmengine - INFO - Epoch(train) [158][100/1879] lr: 1.0000e-04 eta: 14:42:09 time: 0.2868 data_time: 0.0201 memory: 8198 grad_norm: 6.6158 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9724 loss: 0.9724 2022/08/03 14:14:09 - mmengine - INFO - Epoch(train) [158][120/1879] lr: 1.0000e-04 eta: 14:42:03 time: 0.2839 data_time: 0.0209 memory: 8198 grad_norm: 6.9930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0220 loss: 1.0220 2022/08/03 14:14:15 - mmengine - INFO - Epoch(train) [158][140/1879] lr: 1.0000e-04 eta: 14:41:57 time: 0.2899 data_time: 0.0237 memory: 8198 grad_norm: 6.7203 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8816 loss: 0.8816 2022/08/03 14:14:20 - mmengine - INFO - Epoch(train) [158][160/1879] lr: 1.0000e-04 eta: 14:41:52 time: 0.2835 data_time: 0.0193 memory: 8198 grad_norm: 6.9832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0021 loss: 1.0021 2022/08/03 14:14:26 - mmengine - INFO - Epoch(train) [158][180/1879] lr: 1.0000e-04 eta: 14:41:46 time: 0.2871 data_time: 0.0243 memory: 8198 grad_norm: 6.8491 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0387 loss: 1.0387 2022/08/03 14:14:32 - mmengine - INFO - Epoch(train) [158][200/1879] lr: 1.0000e-04 eta: 14:41:41 time: 0.3049 data_time: 0.0256 memory: 8198 grad_norm: 6.7199 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0531 loss: 1.0531 2022/08/03 14:14:38 - mmengine - INFO - Epoch(train) [158][220/1879] lr: 1.0000e-04 eta: 14:41:35 time: 0.2814 data_time: 0.0190 memory: 8198 grad_norm: 7.1068 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2169 loss: 1.2169 2022/08/03 14:14:44 - mmengine - INFO - Epoch(train) [158][240/1879] lr: 1.0000e-04 eta: 14:41:29 time: 0.2894 data_time: 0.0289 memory: 8198 grad_norm: 6.7874 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9169 loss: 0.9169 2022/08/03 14:14:49 - mmengine - INFO - Epoch(train) [158][260/1879] lr: 1.0000e-04 eta: 14:41:24 time: 0.2851 data_time: 0.0278 memory: 8198 grad_norm: 7.0730 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/03 14:14:55 - mmengine - INFO - Epoch(train) [158][280/1879] lr: 1.0000e-04 eta: 14:41:18 time: 0.2873 data_time: 0.0237 memory: 8198 grad_norm: 6.7326 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9627 loss: 0.9627 2022/08/03 14:15:01 - mmengine - INFO - Epoch(train) [158][300/1879] lr: 1.0000e-04 eta: 14:41:12 time: 0.2860 data_time: 0.0210 memory: 8198 grad_norm: 7.1136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0596 loss: 1.0596 2022/08/03 14:15:07 - mmengine - INFO - Epoch(train) [158][320/1879] lr: 1.0000e-04 eta: 14:41:07 time: 0.2840 data_time: 0.0207 memory: 8198 grad_norm: 7.0744 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9857 loss: 0.9857 2022/08/03 14:15:13 - mmengine - INFO - Epoch(train) [158][340/1879] lr: 1.0000e-04 eta: 14:41:01 time: 0.2953 data_time: 0.0274 memory: 8198 grad_norm: 7.0126 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0200 loss: 1.0200 2022/08/03 14:15:18 - mmengine - INFO - Epoch(train) [158][360/1879] lr: 1.0000e-04 eta: 14:40:55 time: 0.2825 data_time: 0.0187 memory: 8198 grad_norm: 7.0276 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0700 loss: 1.0700 2022/08/03 14:15:24 - mmengine - INFO - Epoch(train) [158][380/1879] lr: 1.0000e-04 eta: 14:40:50 time: 0.2825 data_time: 0.0234 memory: 8198 grad_norm: 7.2573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/08/03 14:15:30 - mmengine - INFO - Epoch(train) [158][400/1879] lr: 1.0000e-04 eta: 14:40:44 time: 0.2865 data_time: 0.0293 memory: 8198 grad_norm: 6.9510 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0139 loss: 1.0139 2022/08/03 14:15:35 - mmengine - INFO - Epoch(train) [158][420/1879] lr: 1.0000e-04 eta: 14:40:38 time: 0.2824 data_time: 0.0228 memory: 8198 grad_norm: 6.9175 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9996 loss: 0.9996 2022/08/03 14:15:41 - mmengine - INFO - Epoch(train) [158][440/1879] lr: 1.0000e-04 eta: 14:40:33 time: 0.2910 data_time: 0.0200 memory: 8198 grad_norm: 6.8381 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/03 14:15:47 - mmengine - INFO - Epoch(train) [158][460/1879] lr: 1.0000e-04 eta: 14:40:27 time: 0.2825 data_time: 0.0214 memory: 8198 grad_norm: 7.0692 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/08/03 14:15:53 - mmengine - INFO - Epoch(train) [158][480/1879] lr: 1.0000e-04 eta: 14:40:21 time: 0.2858 data_time: 0.0268 memory: 8198 grad_norm: 6.9200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1283 loss: 1.1283 2022/08/03 14:15:58 - mmengine - INFO - Epoch(train) [158][500/1879] lr: 1.0000e-04 eta: 14:40:15 time: 0.2852 data_time: 0.0218 memory: 8198 grad_norm: 6.9869 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8391 loss: 0.8391 2022/08/03 14:16:04 - mmengine - INFO - Epoch(train) [158][520/1879] lr: 1.0000e-04 eta: 14:40:10 time: 0.2846 data_time: 0.0186 memory: 8198 grad_norm: 6.8406 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9472 loss: 0.9472 2022/08/03 14:16:10 - mmengine - INFO - Epoch(train) [158][540/1879] lr: 1.0000e-04 eta: 14:40:04 time: 0.2841 data_time: 0.0276 memory: 8198 grad_norm: 7.0561 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0934 loss: 1.0934 2022/08/03 14:16:16 - mmengine - INFO - Epoch(train) [158][560/1879] lr: 1.0000e-04 eta: 14:39:58 time: 0.2868 data_time: 0.0217 memory: 8198 grad_norm: 6.7072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9700 loss: 0.9700 2022/08/03 14:16:21 - mmengine - INFO - Epoch(train) [158][580/1879] lr: 1.0000e-04 eta: 14:39:53 time: 0.2865 data_time: 0.0295 memory: 8198 grad_norm: 7.0420 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9591 loss: 0.9591 2022/08/03 14:16:27 - mmengine - INFO - Epoch(train) [158][600/1879] lr: 1.0000e-04 eta: 14:39:47 time: 0.2835 data_time: 0.0220 memory: 8198 grad_norm: 6.6990 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0563 loss: 1.0563 2022/08/03 14:16:33 - mmengine - INFO - Epoch(train) [158][620/1879] lr: 1.0000e-04 eta: 14:39:41 time: 0.2863 data_time: 0.0253 memory: 8198 grad_norm: 6.9126 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9691 loss: 0.9691 2022/08/03 14:16:38 - mmengine - INFO - Epoch(train) [158][640/1879] lr: 1.0000e-04 eta: 14:39:36 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 6.8040 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9246 loss: 0.9246 2022/08/03 14:16:44 - mmengine - INFO - Epoch(train) [158][660/1879] lr: 1.0000e-04 eta: 14:39:30 time: 0.2891 data_time: 0.0209 memory: 8198 grad_norm: 7.1478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0194 loss: 1.0194 2022/08/03 14:16:50 - mmengine - INFO - Epoch(train) [158][680/1879] lr: 1.0000e-04 eta: 14:39:24 time: 0.2806 data_time: 0.0185 memory: 8198 grad_norm: 6.8267 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8694 loss: 0.8694 2022/08/03 14:16:56 - mmengine - INFO - Epoch(train) [158][700/1879] lr: 1.0000e-04 eta: 14:39:19 time: 0.2847 data_time: 0.0217 memory: 8198 grad_norm: 6.9403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/08/03 14:17:01 - mmengine - INFO - Epoch(train) [158][720/1879] lr: 1.0000e-04 eta: 14:39:13 time: 0.2863 data_time: 0.0218 memory: 8198 grad_norm: 6.9084 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/08/03 14:17:07 - mmengine - INFO - Epoch(train) [158][740/1879] lr: 1.0000e-04 eta: 14:39:07 time: 0.2853 data_time: 0.0224 memory: 8198 grad_norm: 6.9972 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9342 loss: 0.9342 2022/08/03 14:17:13 - mmengine - INFO - Epoch(train) [158][760/1879] lr: 1.0000e-04 eta: 14:39:02 time: 0.2886 data_time: 0.0274 memory: 8198 grad_norm: 7.0975 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/08/03 14:17:19 - mmengine - INFO - Epoch(train) [158][780/1879] lr: 1.0000e-04 eta: 14:38:56 time: 0.2851 data_time: 0.0221 memory: 8198 grad_norm: 7.0417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/08/03 14:17:25 - mmengine - INFO - Epoch(train) [158][800/1879] lr: 1.0000e-04 eta: 14:38:50 time: 0.2925 data_time: 0.0235 memory: 8198 grad_norm: 6.8988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/08/03 14:17:30 - mmengine - INFO - Epoch(train) [158][820/1879] lr: 1.0000e-04 eta: 14:38:45 time: 0.2857 data_time: 0.0226 memory: 8198 grad_norm: 7.0674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0607 loss: 1.0607 2022/08/03 14:17:36 - mmengine - INFO - Epoch(train) [158][840/1879] lr: 1.0000e-04 eta: 14:38:39 time: 0.2894 data_time: 0.0224 memory: 8198 grad_norm: 6.8496 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1145 loss: 1.1145 2022/08/03 14:17:42 - mmengine - INFO - Epoch(train) [158][860/1879] lr: 1.0000e-04 eta: 14:38:33 time: 0.2883 data_time: 0.0254 memory: 8198 grad_norm: 7.1239 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/08/03 14:17:48 - mmengine - INFO - Epoch(train) [158][880/1879] lr: 1.0000e-04 eta: 14:38:28 time: 0.2836 data_time: 0.0190 memory: 8198 grad_norm: 6.9800 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/08/03 14:17:53 - mmengine - INFO - Epoch(train) [158][900/1879] lr: 1.0000e-04 eta: 14:38:22 time: 0.2855 data_time: 0.0210 memory: 8198 grad_norm: 6.9458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9688 loss: 0.9688 2022/08/03 14:17:59 - mmengine - INFO - Epoch(train) [158][920/1879] lr: 1.0000e-04 eta: 14:38:16 time: 0.2849 data_time: 0.0233 memory: 8198 grad_norm: 6.9511 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9077 loss: 0.9077 2022/08/03 14:18:05 - mmengine - INFO - Epoch(train) [158][940/1879] lr: 1.0000e-04 eta: 14:38:11 time: 0.2908 data_time: 0.0262 memory: 8198 grad_norm: 7.0726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9116 loss: 0.9116 2022/08/03 14:18:11 - mmengine - INFO - Epoch(train) [158][960/1879] lr: 1.0000e-04 eta: 14:38:05 time: 0.2849 data_time: 0.0196 memory: 8198 grad_norm: 6.6727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8627 loss: 0.8627 2022/08/03 14:18:16 - mmengine - INFO - Epoch(train) [158][980/1879] lr: 1.0000e-04 eta: 14:37:59 time: 0.2877 data_time: 0.0216 memory: 8198 grad_norm: 6.8566 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9912 loss: 0.9912 2022/08/03 14:18:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:18:22 - mmengine - INFO - Epoch(train) [158][1000/1879] lr: 1.0000e-04 eta: 14:37:54 time: 0.2874 data_time: 0.0248 memory: 8198 grad_norm: 7.1702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2340 loss: 1.2340 2022/08/03 14:18:28 - mmengine - INFO - Epoch(train) [158][1020/1879] lr: 1.0000e-04 eta: 14:37:48 time: 0.2849 data_time: 0.0247 memory: 8198 grad_norm: 7.0883 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/03 14:18:34 - mmengine - INFO - Epoch(train) [158][1040/1879] lr: 1.0000e-04 eta: 14:37:42 time: 0.2837 data_time: 0.0180 memory: 8198 grad_norm: 6.9931 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/08/03 14:18:39 - mmengine - INFO - Epoch(train) [158][1060/1879] lr: 1.0000e-04 eta: 14:37:37 time: 0.2850 data_time: 0.0241 memory: 8198 grad_norm: 6.9728 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8873 loss: 0.8873 2022/08/03 14:18:45 - mmengine - INFO - Epoch(train) [158][1080/1879] lr: 1.0000e-04 eta: 14:37:31 time: 0.2889 data_time: 0.0215 memory: 8198 grad_norm: 6.8744 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/08/03 14:18:51 - mmengine - INFO - Epoch(train) [158][1100/1879] lr: 1.0000e-04 eta: 14:37:25 time: 0.2835 data_time: 0.0207 memory: 8198 grad_norm: 7.0349 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0752 loss: 1.0752 2022/08/03 14:18:56 - mmengine - INFO - Epoch(train) [158][1120/1879] lr: 1.0000e-04 eta: 14:37:20 time: 0.2863 data_time: 0.0206 memory: 8198 grad_norm: 6.7742 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0744 loss: 1.0744 2022/08/03 14:19:02 - mmengine - INFO - Epoch(train) [158][1140/1879] lr: 1.0000e-04 eta: 14:37:14 time: 0.2923 data_time: 0.0210 memory: 8198 grad_norm: 6.9237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9510 loss: 0.9510 2022/08/03 14:19:08 - mmengine - INFO - Epoch(train) [158][1160/1879] lr: 1.0000e-04 eta: 14:37:08 time: 0.2808 data_time: 0.0208 memory: 8198 grad_norm: 6.7905 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8764 loss: 0.8764 2022/08/03 14:19:14 - mmengine - INFO - Epoch(train) [158][1180/1879] lr: 1.0000e-04 eta: 14:37:03 time: 0.2895 data_time: 0.0219 memory: 8198 grad_norm: 6.7588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9753 loss: 0.9753 2022/08/03 14:19:19 - mmengine - INFO - Epoch(train) [158][1200/1879] lr: 1.0000e-04 eta: 14:36:57 time: 0.2819 data_time: 0.0212 memory: 8198 grad_norm: 6.9477 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0562 loss: 1.0562 2022/08/03 14:19:25 - mmengine - INFO - Epoch(train) [158][1220/1879] lr: 1.0000e-04 eta: 14:36:51 time: 0.2866 data_time: 0.0210 memory: 8198 grad_norm: 7.0953 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0153 loss: 1.0153 2022/08/03 14:19:31 - mmengine - INFO - Epoch(train) [158][1240/1879] lr: 1.0000e-04 eta: 14:36:45 time: 0.2835 data_time: 0.0248 memory: 8198 grad_norm: 6.9111 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0484 loss: 1.0484 2022/08/03 14:19:37 - mmengine - INFO - Epoch(train) [158][1260/1879] lr: 1.0000e-04 eta: 14:36:40 time: 0.2904 data_time: 0.0247 memory: 8198 grad_norm: 6.9349 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0958 loss: 1.0958 2022/08/03 14:19:43 - mmengine - INFO - Epoch(train) [158][1280/1879] lr: 1.0000e-04 eta: 14:36:34 time: 0.3006 data_time: 0.0188 memory: 8198 grad_norm: 6.9703 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9592 loss: 0.9592 2022/08/03 14:19:48 - mmengine - INFO - Epoch(train) [158][1300/1879] lr: 1.0000e-04 eta: 14:36:29 time: 0.2833 data_time: 0.0242 memory: 8198 grad_norm: 6.8828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0451 loss: 1.0451 2022/08/03 14:19:54 - mmengine - INFO - Epoch(train) [158][1320/1879] lr: 1.0000e-04 eta: 14:36:23 time: 0.2910 data_time: 0.0212 memory: 8198 grad_norm: 6.8726 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/08/03 14:20:00 - mmengine - INFO - Epoch(train) [158][1340/1879] lr: 1.0000e-04 eta: 14:36:17 time: 0.2825 data_time: 0.0208 memory: 8198 grad_norm: 7.0473 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/08/03 14:20:06 - mmengine - INFO - Epoch(train) [158][1360/1879] lr: 1.0000e-04 eta: 14:36:12 time: 0.2853 data_time: 0.0216 memory: 8198 grad_norm: 7.0749 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9417 loss: 0.9417 2022/08/03 14:20:12 - mmengine - INFO - Epoch(train) [158][1380/1879] lr: 1.0000e-04 eta: 14:36:06 time: 0.3020 data_time: 0.0267 memory: 8198 grad_norm: 6.9465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/03 14:20:17 - mmengine - INFO - Epoch(train) [158][1400/1879] lr: 1.0000e-04 eta: 14:36:00 time: 0.2794 data_time: 0.0176 memory: 8198 grad_norm: 7.1367 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0730 loss: 1.0730 2022/08/03 14:20:23 - mmengine - INFO - Epoch(train) [158][1420/1879] lr: 1.0000e-04 eta: 14:35:55 time: 0.2836 data_time: 0.0218 memory: 8198 grad_norm: 6.7829 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/08/03 14:20:29 - mmengine - INFO - Epoch(train) [158][1440/1879] lr: 1.0000e-04 eta: 14:35:49 time: 0.2857 data_time: 0.0212 memory: 8198 grad_norm: 6.9331 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9529 loss: 0.9529 2022/08/03 14:20:35 - mmengine - INFO - Epoch(train) [158][1460/1879] lr: 1.0000e-04 eta: 14:35:43 time: 0.2935 data_time: 0.0235 memory: 8198 grad_norm: 6.9275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9367 loss: 0.9367 2022/08/03 14:20:40 - mmengine - INFO - Epoch(train) [158][1480/1879] lr: 1.0000e-04 eta: 14:35:38 time: 0.2861 data_time: 0.0200 memory: 8198 grad_norm: 7.0570 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1835 loss: 1.1835 2022/08/03 14:20:46 - mmengine - INFO - Epoch(train) [158][1500/1879] lr: 1.0000e-04 eta: 14:35:32 time: 0.2833 data_time: 0.0211 memory: 8198 grad_norm: 7.0020 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9003 loss: 0.9003 2022/08/03 14:20:52 - mmengine - INFO - Epoch(train) [158][1520/1879] lr: 1.0000e-04 eta: 14:35:26 time: 0.2919 data_time: 0.0248 memory: 8198 grad_norm: 7.2003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9269 loss: 0.9269 2022/08/03 14:20:58 - mmengine - INFO - Epoch(train) [158][1540/1879] lr: 1.0000e-04 eta: 14:35:21 time: 0.2847 data_time: 0.0269 memory: 8198 grad_norm: 6.8845 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9956 loss: 0.9956 2022/08/03 14:21:03 - mmengine - INFO - Epoch(train) [158][1560/1879] lr: 1.0000e-04 eta: 14:35:15 time: 0.2858 data_time: 0.0230 memory: 8198 grad_norm: 6.6774 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.0731 loss: 1.0731 2022/08/03 14:21:09 - mmengine - INFO - Epoch(train) [158][1580/1879] lr: 1.0000e-04 eta: 14:35:09 time: 0.2877 data_time: 0.0272 memory: 8198 grad_norm: 6.8521 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0495 loss: 1.0495 2022/08/03 14:21:15 - mmengine - INFO - Epoch(train) [158][1600/1879] lr: 1.0000e-04 eta: 14:35:04 time: 0.2923 data_time: 0.0230 memory: 8198 grad_norm: 7.1062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/03 14:21:21 - mmengine - INFO - Epoch(train) [158][1620/1879] lr: 1.0000e-04 eta: 14:34:58 time: 0.2862 data_time: 0.0271 memory: 8198 grad_norm: 6.8398 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0301 loss: 1.0301 2022/08/03 14:21:27 - mmengine - INFO - Epoch(train) [158][1640/1879] lr: 1.0000e-04 eta: 14:34:52 time: 0.2826 data_time: 0.0217 memory: 8198 grad_norm: 6.7486 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/08/03 14:21:32 - mmengine - INFO - Epoch(train) [158][1660/1879] lr: 1.0000e-04 eta: 14:34:47 time: 0.2956 data_time: 0.0209 memory: 8198 grad_norm: 7.2386 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9337 loss: 0.9337 2022/08/03 14:21:38 - mmengine - INFO - Epoch(train) [158][1680/1879] lr: 1.0000e-04 eta: 14:34:41 time: 0.2839 data_time: 0.0191 memory: 8198 grad_norm: 6.8799 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7421 loss: 0.7421 2022/08/03 14:21:44 - mmengine - INFO - Epoch(train) [158][1700/1879] lr: 1.0000e-04 eta: 14:34:35 time: 0.2860 data_time: 0.0200 memory: 8198 grad_norm: 6.8574 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9107 loss: 0.9107 2022/08/03 14:21:50 - mmengine - INFO - Epoch(train) [158][1720/1879] lr: 1.0000e-04 eta: 14:34:30 time: 0.2856 data_time: 0.0220 memory: 8198 grad_norm: 6.7360 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9412 loss: 0.9412 2022/08/03 14:21:55 - mmengine - INFO - Epoch(train) [158][1740/1879] lr: 1.0000e-04 eta: 14:34:24 time: 0.2904 data_time: 0.0198 memory: 8198 grad_norm: 6.8242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0461 loss: 1.0461 2022/08/03 14:22:01 - mmengine - INFO - Epoch(train) [158][1760/1879] lr: 1.0000e-04 eta: 14:34:18 time: 0.2853 data_time: 0.0212 memory: 8198 grad_norm: 7.0217 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/08/03 14:22:07 - mmengine - INFO - Epoch(train) [158][1780/1879] lr: 1.0000e-04 eta: 14:34:13 time: 0.2843 data_time: 0.0213 memory: 8198 grad_norm: 6.7622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/08/03 14:22:13 - mmengine - INFO - Epoch(train) [158][1800/1879] lr: 1.0000e-04 eta: 14:34:07 time: 0.2848 data_time: 0.0227 memory: 8198 grad_norm: 6.9217 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9708 loss: 0.9708 2022/08/03 14:22:18 - mmengine - INFO - Epoch(train) [158][1820/1879] lr: 1.0000e-04 eta: 14:34:01 time: 0.2865 data_time: 0.0221 memory: 8198 grad_norm: 7.2923 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0133 loss: 1.0133 2022/08/03 14:22:24 - mmengine - INFO - Epoch(train) [158][1840/1879] lr: 1.0000e-04 eta: 14:33:56 time: 0.2848 data_time: 0.0217 memory: 8198 grad_norm: 6.8227 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9946 loss: 0.9946 2022/08/03 14:22:30 - mmengine - INFO - Epoch(train) [158][1860/1879] lr: 1.0000e-04 eta: 14:33:50 time: 0.2841 data_time: 0.0194 memory: 8198 grad_norm: 7.0592 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1538 loss: 1.1538 2022/08/03 14:22:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:22:35 - mmengine - INFO - Epoch(train) [158][1879/1879] lr: 1.0000e-04 eta: 14:33:50 time: 0.2638 data_time: 0.0144 memory: 8198 grad_norm: 7.3434 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1532 loss: 1.1532 2022/08/03 14:22:43 - mmengine - INFO - Epoch(train) [159][20/1879] lr: 1.0000e-04 eta: 14:33:37 time: 0.3979 data_time: 0.1191 memory: 8198 grad_norm: 6.9567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9240 loss: 0.9240 2022/08/03 14:22:49 - mmengine - INFO - Epoch(train) [159][40/1879] lr: 1.0000e-04 eta: 14:33:32 time: 0.3125 data_time: 0.0220 memory: 8198 grad_norm: 7.0139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0729 loss: 1.0729 2022/08/03 14:22:55 - mmengine - INFO - Epoch(train) [159][60/1879] lr: 1.0000e-04 eta: 14:33:26 time: 0.2953 data_time: 0.0237 memory: 8198 grad_norm: 6.8306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7932 loss: 0.7932 2022/08/03 14:23:01 - mmengine - INFO - Epoch(train) [159][80/1879] lr: 1.0000e-04 eta: 14:33:20 time: 0.2844 data_time: 0.0224 memory: 8198 grad_norm: 7.1245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/08/03 14:23:07 - mmengine - INFO - Epoch(train) [159][100/1879] lr: 1.0000e-04 eta: 14:33:15 time: 0.2927 data_time: 0.0279 memory: 8198 grad_norm: 7.0501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0645 loss: 1.0645 2022/08/03 14:23:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:23:12 - mmengine - INFO - Epoch(train) [159][120/1879] lr: 1.0000e-04 eta: 14:33:09 time: 0.2810 data_time: 0.0178 memory: 8198 grad_norm: 6.7052 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9930 loss: 0.9930 2022/08/03 14:23:18 - mmengine - INFO - Epoch(train) [159][140/1879] lr: 1.0000e-04 eta: 14:33:03 time: 0.2829 data_time: 0.0227 memory: 8198 grad_norm: 7.0174 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9387 loss: 0.9387 2022/08/03 14:23:24 - mmengine - INFO - Epoch(train) [159][160/1879] lr: 1.0000e-04 eta: 14:32:58 time: 0.3043 data_time: 0.0191 memory: 8198 grad_norm: 7.0256 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0259 loss: 1.0259 2022/08/03 14:23:30 - mmengine - INFO - Epoch(train) [159][180/1879] lr: 1.0000e-04 eta: 14:32:52 time: 0.2833 data_time: 0.0215 memory: 8198 grad_norm: 6.8707 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0609 loss: 1.0609 2022/08/03 14:23:36 - mmengine - INFO - Epoch(train) [159][200/1879] lr: 1.0000e-04 eta: 14:32:47 time: 0.2939 data_time: 0.0239 memory: 8198 grad_norm: 6.9004 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9645 loss: 0.9645 2022/08/03 14:23:41 - mmengine - INFO - Epoch(train) [159][220/1879] lr: 1.0000e-04 eta: 14:32:41 time: 0.2873 data_time: 0.0230 memory: 8198 grad_norm: 6.9708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8561 loss: 0.8561 2022/08/03 14:23:47 - mmengine - INFO - Epoch(train) [159][240/1879] lr: 1.0000e-04 eta: 14:32:35 time: 0.2860 data_time: 0.0192 memory: 8198 grad_norm: 6.7640 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/08/03 14:23:53 - mmengine - INFO - Epoch(train) [159][260/1879] lr: 1.0000e-04 eta: 14:32:30 time: 0.2866 data_time: 0.0218 memory: 8198 grad_norm: 7.0618 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0301 loss: 1.0301 2022/08/03 14:23:59 - mmengine - INFO - Epoch(train) [159][280/1879] lr: 1.0000e-04 eta: 14:32:24 time: 0.2853 data_time: 0.0223 memory: 8198 grad_norm: 7.0530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0906 loss: 1.0906 2022/08/03 14:24:04 - mmengine - INFO - Epoch(train) [159][300/1879] lr: 1.0000e-04 eta: 14:32:18 time: 0.2886 data_time: 0.0220 memory: 8198 grad_norm: 6.9863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/08/03 14:24:10 - mmengine - INFO - Epoch(train) [159][320/1879] lr: 1.0000e-04 eta: 14:32:13 time: 0.2864 data_time: 0.0243 memory: 8198 grad_norm: 6.9003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9589 loss: 0.9589 2022/08/03 14:24:16 - mmengine - INFO - Epoch(train) [159][340/1879] lr: 1.0000e-04 eta: 14:32:07 time: 0.2870 data_time: 0.0259 memory: 8198 grad_norm: 7.1522 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/08/03 14:24:22 - mmengine - INFO - Epoch(train) [159][360/1879] lr: 1.0000e-04 eta: 14:32:01 time: 0.2839 data_time: 0.0236 memory: 8198 grad_norm: 6.8962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/08/03 14:24:28 - mmengine - INFO - Epoch(train) [159][380/1879] lr: 1.0000e-04 eta: 14:31:56 time: 0.3052 data_time: 0.0218 memory: 8198 grad_norm: 6.7661 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9095 loss: 0.9095 2022/08/03 14:24:34 - mmengine - INFO - Epoch(train) [159][400/1879] lr: 1.0000e-04 eta: 14:31:50 time: 0.2881 data_time: 0.0208 memory: 8198 grad_norm: 7.0024 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9845 loss: 0.9845 2022/08/03 14:24:39 - mmengine - INFO - Epoch(train) [159][420/1879] lr: 1.0000e-04 eta: 14:31:44 time: 0.2838 data_time: 0.0248 memory: 8198 grad_norm: 6.7654 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8539 loss: 0.8539 2022/08/03 14:24:45 - mmengine - INFO - Epoch(train) [159][440/1879] lr: 1.0000e-04 eta: 14:31:39 time: 0.2901 data_time: 0.0190 memory: 8198 grad_norm: 6.6962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/08/03 14:24:51 - mmengine - INFO - Epoch(train) [159][460/1879] lr: 1.0000e-04 eta: 14:31:33 time: 0.2893 data_time: 0.0225 memory: 8198 grad_norm: 6.7815 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9351 loss: 0.9351 2022/08/03 14:24:57 - mmengine - INFO - Epoch(train) [159][480/1879] lr: 1.0000e-04 eta: 14:31:27 time: 0.2823 data_time: 0.0184 memory: 8198 grad_norm: 7.1820 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1320 loss: 1.1320 2022/08/03 14:25:03 - mmengine - INFO - Epoch(train) [159][500/1879] lr: 1.0000e-04 eta: 14:31:22 time: 0.3309 data_time: 0.0213 memory: 8198 grad_norm: 7.2025 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1062 loss: 1.1062 2022/08/03 14:25:09 - mmengine - INFO - Epoch(train) [159][520/1879] lr: 1.0000e-04 eta: 14:31:16 time: 0.2803 data_time: 0.0214 memory: 8198 grad_norm: 6.7962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/08/03 14:25:15 - mmengine - INFO - Epoch(train) [159][540/1879] lr: 1.0000e-04 eta: 14:31:11 time: 0.2866 data_time: 0.0266 memory: 8198 grad_norm: 6.6802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7813 loss: 0.7813 2022/08/03 14:25:21 - mmengine - INFO - Epoch(train) [159][560/1879] lr: 1.0000e-04 eta: 14:31:05 time: 0.2980 data_time: 0.0211 memory: 8198 grad_norm: 6.7546 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9879 loss: 0.9879 2022/08/03 14:25:26 - mmengine - INFO - Epoch(train) [159][580/1879] lr: 1.0000e-04 eta: 14:31:00 time: 0.2843 data_time: 0.0242 memory: 8198 grad_norm: 6.7641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9896 loss: 0.9896 2022/08/03 14:25:32 - mmengine - INFO - Epoch(train) [159][600/1879] lr: 1.0000e-04 eta: 14:30:54 time: 0.2864 data_time: 0.0224 memory: 8198 grad_norm: 6.9747 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0037 loss: 1.0037 2022/08/03 14:25:38 - mmengine - INFO - Epoch(train) [159][620/1879] lr: 1.0000e-04 eta: 14:30:48 time: 0.2835 data_time: 0.0260 memory: 8198 grad_norm: 6.8602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9362 loss: 0.9362 2022/08/03 14:25:44 - mmengine - INFO - Epoch(train) [159][640/1879] lr: 1.0000e-04 eta: 14:30:43 time: 0.2885 data_time: 0.0207 memory: 8198 grad_norm: 7.0264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/08/03 14:25:49 - mmengine - INFO - Epoch(train) [159][660/1879] lr: 1.0000e-04 eta: 14:30:37 time: 0.2835 data_time: 0.0241 memory: 8198 grad_norm: 6.8534 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/08/03 14:25:55 - mmengine - INFO - Epoch(train) [159][680/1879] lr: 1.0000e-04 eta: 14:30:31 time: 0.2906 data_time: 0.0216 memory: 8198 grad_norm: 6.9038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/08/03 14:26:01 - mmengine - INFO - Epoch(train) [159][700/1879] lr: 1.0000e-04 eta: 14:30:26 time: 0.2881 data_time: 0.0298 memory: 8198 grad_norm: 6.6773 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7760 loss: 0.7760 2022/08/03 14:26:07 - mmengine - INFO - Epoch(train) [159][720/1879] lr: 1.0000e-04 eta: 14:30:20 time: 0.2838 data_time: 0.0189 memory: 8198 grad_norm: 6.8649 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 0.9419 loss: 0.9419 2022/08/03 14:26:12 - mmengine - INFO - Epoch(train) [159][740/1879] lr: 1.0000e-04 eta: 14:30:14 time: 0.2888 data_time: 0.0227 memory: 8198 grad_norm: 6.8968 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8736 loss: 0.8736 2022/08/03 14:26:18 - mmengine - INFO - Epoch(train) [159][760/1879] lr: 1.0000e-04 eta: 14:30:09 time: 0.2872 data_time: 0.0234 memory: 8198 grad_norm: 6.6607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9241 loss: 0.9241 2022/08/03 14:26:24 - mmengine - INFO - Epoch(train) [159][780/1879] lr: 1.0000e-04 eta: 14:30:03 time: 0.2891 data_time: 0.0215 memory: 8198 grad_norm: 6.9006 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9699 loss: 0.9699 2022/08/03 14:26:30 - mmengine - INFO - Epoch(train) [159][800/1879] lr: 1.0000e-04 eta: 14:29:57 time: 0.2871 data_time: 0.0199 memory: 8198 grad_norm: 6.7921 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9237 loss: 0.9237 2022/08/03 14:26:35 - mmengine - INFO - Epoch(train) [159][820/1879] lr: 1.0000e-04 eta: 14:29:51 time: 0.2797 data_time: 0.0209 memory: 8198 grad_norm: 6.9756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0365 loss: 1.0365 2022/08/03 14:26:41 - mmengine - INFO - Epoch(train) [159][840/1879] lr: 1.0000e-04 eta: 14:29:46 time: 0.2922 data_time: 0.0297 memory: 8198 grad_norm: 6.9222 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1181 loss: 1.1181 2022/08/03 14:26:47 - mmengine - INFO - Epoch(train) [159][860/1879] lr: 1.0000e-04 eta: 14:29:40 time: 0.2925 data_time: 0.0220 memory: 8198 grad_norm: 6.9945 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/08/03 14:26:53 - mmengine - INFO - Epoch(train) [159][880/1879] lr: 1.0000e-04 eta: 14:29:35 time: 0.2844 data_time: 0.0220 memory: 8198 grad_norm: 6.5268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0142 loss: 1.0142 2022/08/03 14:26:58 - mmengine - INFO - Epoch(train) [159][900/1879] lr: 1.0000e-04 eta: 14:29:29 time: 0.2857 data_time: 0.0220 memory: 8198 grad_norm: 6.9130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8562 loss: 0.8562 2022/08/03 14:27:04 - mmengine - INFO - Epoch(train) [159][920/1879] lr: 1.0000e-04 eta: 14:29:23 time: 0.2923 data_time: 0.0202 memory: 8198 grad_norm: 6.9778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0870 loss: 1.0870 2022/08/03 14:27:10 - mmengine - INFO - Epoch(train) [159][940/1879] lr: 1.0000e-04 eta: 14:29:18 time: 0.2842 data_time: 0.0240 memory: 8198 grad_norm: 7.0360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9743 loss: 0.9743 2022/08/03 14:27:16 - mmengine - INFO - Epoch(train) [159][960/1879] lr: 1.0000e-04 eta: 14:29:12 time: 0.2847 data_time: 0.0209 memory: 8198 grad_norm: 6.9137 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/08/03 14:27:22 - mmengine - INFO - Epoch(train) [159][980/1879] lr: 1.0000e-04 eta: 14:29:06 time: 0.2920 data_time: 0.0282 memory: 8198 grad_norm: 7.0158 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/08/03 14:27:28 - mmengine - INFO - Epoch(train) [159][1000/1879] lr: 1.0000e-04 eta: 14:29:01 time: 0.2931 data_time: 0.0238 memory: 8198 grad_norm: 6.7475 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0954 loss: 1.0954 2022/08/03 14:27:33 - mmengine - INFO - Epoch(train) [159][1020/1879] lr: 1.0000e-04 eta: 14:28:55 time: 0.2880 data_time: 0.0225 memory: 8198 grad_norm: 7.0045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9004 loss: 0.9004 2022/08/03 14:27:39 - mmengine - INFO - Epoch(train) [159][1040/1879] lr: 1.0000e-04 eta: 14:28:49 time: 0.2815 data_time: 0.0213 memory: 8198 grad_norm: 6.7878 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/03 14:27:45 - mmengine - INFO - Epoch(train) [159][1060/1879] lr: 1.0000e-04 eta: 14:28:44 time: 0.3016 data_time: 0.0190 memory: 8198 grad_norm: 6.8166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0708 loss: 1.0708 2022/08/03 14:27:51 - mmengine - INFO - Epoch(train) [159][1080/1879] lr: 1.0000e-04 eta: 14:28:38 time: 0.2838 data_time: 0.0219 memory: 8198 grad_norm: 6.9835 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1184 loss: 1.1184 2022/08/03 14:27:57 - mmengine - INFO - Epoch(train) [159][1100/1879] lr: 1.0000e-04 eta: 14:28:33 time: 0.2908 data_time: 0.0300 memory: 8198 grad_norm: 6.8855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9955 loss: 0.9955 2022/08/03 14:28:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:28:02 - mmengine - INFO - Epoch(train) [159][1120/1879] lr: 1.0000e-04 eta: 14:28:27 time: 0.2831 data_time: 0.0197 memory: 8198 grad_norm: 7.0232 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9847 loss: 0.9847 2022/08/03 14:28:08 - mmengine - INFO - Epoch(train) [159][1140/1879] lr: 1.0000e-04 eta: 14:28:21 time: 0.2870 data_time: 0.0255 memory: 8198 grad_norm: 6.7729 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9670 loss: 0.9670 2022/08/03 14:28:14 - mmengine - INFO - Epoch(train) [159][1160/1879] lr: 1.0000e-04 eta: 14:28:15 time: 0.2866 data_time: 0.0216 memory: 8198 grad_norm: 6.9018 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9689 loss: 0.9689 2022/08/03 14:28:19 - mmengine - INFO - Epoch(train) [159][1180/1879] lr: 1.0000e-04 eta: 14:28:10 time: 0.2829 data_time: 0.0229 memory: 8198 grad_norm: 6.7533 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8923 loss: 0.8923 2022/08/03 14:28:25 - mmengine - INFO - Epoch(train) [159][1200/1879] lr: 1.0000e-04 eta: 14:28:04 time: 0.2902 data_time: 0.0235 memory: 8198 grad_norm: 7.0287 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0363 loss: 1.0363 2022/08/03 14:28:31 - mmengine - INFO - Epoch(train) [159][1220/1879] lr: 1.0000e-04 eta: 14:27:58 time: 0.2832 data_time: 0.0208 memory: 8198 grad_norm: 7.1990 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/03 14:28:37 - mmengine - INFO - Epoch(train) [159][1240/1879] lr: 1.0000e-04 eta: 14:27:53 time: 0.2853 data_time: 0.0272 memory: 8198 grad_norm: 6.8937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9182 loss: 0.9182 2022/08/03 14:28:43 - mmengine - INFO - Epoch(train) [159][1260/1879] lr: 1.0000e-04 eta: 14:27:47 time: 0.3137 data_time: 0.0241 memory: 8198 grad_norm: 7.1861 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9964 loss: 0.9964 2022/08/03 14:28:49 - mmengine - INFO - Epoch(train) [159][1280/1879] lr: 1.0000e-04 eta: 14:27:42 time: 0.2778 data_time: 0.0196 memory: 8198 grad_norm: 7.0698 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/08/03 14:28:54 - mmengine - INFO - Epoch(train) [159][1300/1879] lr: 1.0000e-04 eta: 14:27:36 time: 0.2867 data_time: 0.0258 memory: 8198 grad_norm: 6.9251 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/08/03 14:29:00 - mmengine - INFO - Epoch(train) [159][1320/1879] lr: 1.0000e-04 eta: 14:27:30 time: 0.2823 data_time: 0.0181 memory: 8198 grad_norm: 6.8087 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1279 loss: 1.1279 2022/08/03 14:29:06 - mmengine - INFO - Epoch(train) [159][1340/1879] lr: 1.0000e-04 eta: 14:27:25 time: 0.2911 data_time: 0.0272 memory: 8198 grad_norm: 7.0851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9725 loss: 0.9725 2022/08/03 14:29:12 - mmengine - INFO - Epoch(train) [159][1360/1879] lr: 1.0000e-04 eta: 14:27:19 time: 0.2864 data_time: 0.0203 memory: 8198 grad_norm: 6.9202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0491 loss: 1.0491 2022/08/03 14:29:17 - mmengine - INFO - Epoch(train) [159][1380/1879] lr: 1.0000e-04 eta: 14:27:13 time: 0.2859 data_time: 0.0204 memory: 8198 grad_norm: 6.8020 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/08/03 14:29:23 - mmengine - INFO - Epoch(train) [159][1400/1879] lr: 1.0000e-04 eta: 14:27:08 time: 0.2879 data_time: 0.0221 memory: 8198 grad_norm: 6.9412 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9825 loss: 0.9825 2022/08/03 14:29:29 - mmengine - INFO - Epoch(train) [159][1420/1879] lr: 1.0000e-04 eta: 14:27:02 time: 0.2851 data_time: 0.0210 memory: 8198 grad_norm: 6.7369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9993 loss: 0.9993 2022/08/03 14:29:34 - mmengine - INFO - Epoch(train) [159][1440/1879] lr: 1.0000e-04 eta: 14:26:56 time: 0.2832 data_time: 0.0203 memory: 8198 grad_norm: 6.9541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0075 loss: 1.0075 2022/08/03 14:29:40 - mmengine - INFO - Epoch(train) [159][1460/1879] lr: 1.0000e-04 eta: 14:26:51 time: 0.2860 data_time: 0.0209 memory: 8198 grad_norm: 6.9018 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/08/03 14:29:46 - mmengine - INFO - Epoch(train) [159][1480/1879] lr: 1.0000e-04 eta: 14:26:45 time: 0.2937 data_time: 0.0169 memory: 8198 grad_norm: 6.9840 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2366 loss: 1.2366 2022/08/03 14:29:52 - mmengine - INFO - Epoch(train) [159][1500/1879] lr: 1.0000e-04 eta: 14:26:39 time: 0.2834 data_time: 0.0199 memory: 8198 grad_norm: 6.9258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1522 loss: 1.1522 2022/08/03 14:29:58 - mmengine - INFO - Epoch(train) [159][1520/1879] lr: 1.0000e-04 eta: 14:26:34 time: 0.2850 data_time: 0.0191 memory: 8198 grad_norm: 6.8728 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9259 loss: 0.9259 2022/08/03 14:30:03 - mmengine - INFO - Epoch(train) [159][1540/1879] lr: 1.0000e-04 eta: 14:26:28 time: 0.2905 data_time: 0.0207 memory: 8198 grad_norm: 7.0057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8681 loss: 0.8681 2022/08/03 14:30:09 - mmengine - INFO - Epoch(train) [159][1560/1879] lr: 1.0000e-04 eta: 14:26:22 time: 0.2840 data_time: 0.0249 memory: 8198 grad_norm: 6.8811 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1665 loss: 1.1665 2022/08/03 14:30:15 - mmengine - INFO - Epoch(train) [159][1580/1879] lr: 1.0000e-04 eta: 14:26:17 time: 0.2883 data_time: 0.0248 memory: 8198 grad_norm: 6.8587 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0681 loss: 1.0681 2022/08/03 14:30:21 - mmengine - INFO - Epoch(train) [159][1600/1879] lr: 1.0000e-04 eta: 14:26:11 time: 0.2836 data_time: 0.0177 memory: 8198 grad_norm: 6.8628 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9006 loss: 0.9006 2022/08/03 14:30:27 - mmengine - INFO - Epoch(train) [159][1620/1879] lr: 1.0000e-04 eta: 14:26:05 time: 0.2971 data_time: 0.0201 memory: 8198 grad_norm: 7.0296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9968 loss: 0.9968 2022/08/03 14:30:32 - mmengine - INFO - Epoch(train) [159][1640/1879] lr: 1.0000e-04 eta: 14:26:00 time: 0.2824 data_time: 0.0196 memory: 8198 grad_norm: 6.9899 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9984 loss: 0.9984 2022/08/03 14:30:38 - mmengine - INFO - Epoch(train) [159][1660/1879] lr: 1.0000e-04 eta: 14:25:54 time: 0.2832 data_time: 0.0217 memory: 8198 grad_norm: 6.8647 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7907 loss: 0.7907 2022/08/03 14:30:44 - mmengine - INFO - Epoch(train) [159][1680/1879] lr: 1.0000e-04 eta: 14:25:48 time: 0.2980 data_time: 0.0223 memory: 8198 grad_norm: 7.0619 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/08/03 14:30:50 - mmengine - INFO - Epoch(train) [159][1700/1879] lr: 1.0000e-04 eta: 14:25:43 time: 0.2865 data_time: 0.0281 memory: 8198 grad_norm: 7.0517 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/08/03 14:30:55 - mmengine - INFO - Epoch(train) [159][1720/1879] lr: 1.0000e-04 eta: 14:25:37 time: 0.2835 data_time: 0.0222 memory: 8198 grad_norm: 6.9483 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2391 loss: 1.2391 2022/08/03 14:31:01 - mmengine - INFO - Epoch(train) [159][1740/1879] lr: 1.0000e-04 eta: 14:25:31 time: 0.2833 data_time: 0.0193 memory: 8198 grad_norm: 6.9837 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9143 loss: 0.9143 2022/08/03 14:31:07 - mmengine - INFO - Epoch(train) [159][1760/1879] lr: 1.0000e-04 eta: 14:25:26 time: 0.2920 data_time: 0.0180 memory: 8198 grad_norm: 7.0689 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9972 loss: 0.9972 2022/08/03 14:31:13 - mmengine - INFO - Epoch(train) [159][1780/1879] lr: 1.0000e-04 eta: 14:25:20 time: 0.2840 data_time: 0.0213 memory: 8198 grad_norm: 6.7991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1054 loss: 1.1054 2022/08/03 14:31:18 - mmengine - INFO - Epoch(train) [159][1800/1879] lr: 1.0000e-04 eta: 14:25:14 time: 0.2830 data_time: 0.0216 memory: 8198 grad_norm: 6.9722 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1210 loss: 1.1210 2022/08/03 14:31:24 - mmengine - INFO - Epoch(train) [159][1820/1879] lr: 1.0000e-04 eta: 14:25:09 time: 0.2934 data_time: 0.0262 memory: 8198 grad_norm: 6.9684 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2069 loss: 1.2069 2022/08/03 14:31:30 - mmengine - INFO - Epoch(train) [159][1840/1879] lr: 1.0000e-04 eta: 14:25:03 time: 0.2829 data_time: 0.0211 memory: 8198 grad_norm: 6.7412 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9610 loss: 0.9610 2022/08/03 14:31:36 - mmengine - INFO - Epoch(train) [159][1860/1879] lr: 1.0000e-04 eta: 14:24:57 time: 0.2844 data_time: 0.0226 memory: 8198 grad_norm: 6.9666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/08/03 14:31:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:31:40 - mmengine - INFO - Epoch(train) [159][1879/1879] lr: 1.0000e-04 eta: 14:24:57 time: 0.2563 data_time: 0.0176 memory: 8198 grad_norm: 7.0408 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0722 loss: 1.0722 2022/08/03 14:31:49 - mmengine - INFO - Epoch(train) [160][20/1879] lr: 1.0000e-04 eta: 14:24:44 time: 0.4096 data_time: 0.1342 memory: 8198 grad_norm: 6.7151 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9832 loss: 0.9832 2022/08/03 14:31:55 - mmengine - INFO - Epoch(train) [160][40/1879] lr: 1.0000e-04 eta: 14:24:39 time: 0.2938 data_time: 0.0213 memory: 8198 grad_norm: 6.9362 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0255 loss: 1.0255 2022/08/03 14:32:00 - mmengine - INFO - Epoch(train) [160][60/1879] lr: 1.0000e-04 eta: 14:24:33 time: 0.2921 data_time: 0.0212 memory: 8198 grad_norm: 6.8445 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9297 loss: 0.9297 2022/08/03 14:32:06 - mmengine - INFO - Epoch(train) [160][80/1879] lr: 1.0000e-04 eta: 14:24:28 time: 0.2930 data_time: 0.0219 memory: 8198 grad_norm: 6.8424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/08/03 14:32:12 - mmengine - INFO - Epoch(train) [160][100/1879] lr: 1.0000e-04 eta: 14:24:22 time: 0.2839 data_time: 0.0215 memory: 8198 grad_norm: 6.8459 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9749 loss: 0.9749 2022/08/03 14:32:18 - mmengine - INFO - Epoch(train) [160][120/1879] lr: 1.0000e-04 eta: 14:24:16 time: 0.2820 data_time: 0.0228 memory: 8198 grad_norm: 6.8751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/03 14:32:24 - mmengine - INFO - Epoch(train) [160][140/1879] lr: 1.0000e-04 eta: 14:24:11 time: 0.2934 data_time: 0.0225 memory: 8198 grad_norm: 6.9347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0094 loss: 1.0094 2022/08/03 14:32:29 - mmengine - INFO - Epoch(train) [160][160/1879] lr: 1.0000e-04 eta: 14:24:05 time: 0.2844 data_time: 0.0200 memory: 8198 grad_norm: 7.0713 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8935 loss: 0.8935 2022/08/03 14:32:35 - mmengine - INFO - Epoch(train) [160][180/1879] lr: 1.0000e-04 eta: 14:23:59 time: 0.2822 data_time: 0.0250 memory: 8198 grad_norm: 6.9962 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9220 loss: 0.9220 2022/08/03 14:32:41 - mmengine - INFO - Epoch(train) [160][200/1879] lr: 1.0000e-04 eta: 14:23:53 time: 0.2881 data_time: 0.0224 memory: 8198 grad_norm: 7.2682 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/08/03 14:32:47 - mmengine - INFO - Epoch(train) [160][220/1879] lr: 1.0000e-04 eta: 14:23:48 time: 0.2883 data_time: 0.0226 memory: 8198 grad_norm: 6.8049 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1102 loss: 1.1102 2022/08/03 14:32:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:32:52 - mmengine - INFO - Epoch(train) [160][240/1879] lr: 1.0000e-04 eta: 14:23:42 time: 0.2868 data_time: 0.0220 memory: 8198 grad_norm: 7.0806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/08/03 14:32:58 - mmengine - INFO - Epoch(train) [160][260/1879] lr: 1.0000e-04 eta: 14:23:36 time: 0.2873 data_time: 0.0238 memory: 8198 grad_norm: 6.7850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0423 loss: 1.0423 2022/08/03 14:33:04 - mmengine - INFO - Epoch(train) [160][280/1879] lr: 1.0000e-04 eta: 14:23:31 time: 0.2871 data_time: 0.0227 memory: 8198 grad_norm: 7.0780 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2110 loss: 1.2110 2022/08/03 14:33:10 - mmengine - INFO - Epoch(train) [160][300/1879] lr: 1.0000e-04 eta: 14:23:25 time: 0.2869 data_time: 0.0258 memory: 8198 grad_norm: 6.8730 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8935 loss: 0.8935 2022/08/03 14:33:15 - mmengine - INFO - Epoch(train) [160][320/1879] lr: 1.0000e-04 eta: 14:23:20 time: 0.2893 data_time: 0.0227 memory: 8198 grad_norm: 6.7067 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/08/03 14:33:21 - mmengine - INFO - Epoch(train) [160][340/1879] lr: 1.0000e-04 eta: 14:23:14 time: 0.2859 data_time: 0.0293 memory: 8198 grad_norm: 7.1197 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1405 loss: 1.1405 2022/08/03 14:33:27 - mmengine - INFO - Epoch(train) [160][360/1879] lr: 1.0000e-04 eta: 14:23:08 time: 0.2844 data_time: 0.0208 memory: 8198 grad_norm: 6.8876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9694 loss: 0.9694 2022/08/03 14:33:33 - mmengine - INFO - Epoch(train) [160][380/1879] lr: 1.0000e-04 eta: 14:23:03 time: 0.3102 data_time: 0.0299 memory: 8198 grad_norm: 6.9558 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0016 loss: 1.0016 2022/08/03 14:33:39 - mmengine - INFO - Epoch(train) [160][400/1879] lr: 1.0000e-04 eta: 14:22:57 time: 0.2949 data_time: 0.0341 memory: 8198 grad_norm: 6.8865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0968 loss: 1.0968 2022/08/03 14:33:45 - mmengine - INFO - Epoch(train) [160][420/1879] lr: 1.0000e-04 eta: 14:22:52 time: 0.2867 data_time: 0.0276 memory: 8198 grad_norm: 6.8324 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8200 loss: 0.8200 2022/08/03 14:33:51 - mmengine - INFO - Epoch(train) [160][440/1879] lr: 1.0000e-04 eta: 14:22:46 time: 0.2868 data_time: 0.0249 memory: 8198 grad_norm: 6.7798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9074 loss: 0.9074 2022/08/03 14:33:56 - mmengine - INFO - Epoch(train) [160][460/1879] lr: 1.0000e-04 eta: 14:22:40 time: 0.2891 data_time: 0.0209 memory: 8198 grad_norm: 6.8072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0744 loss: 1.0744 2022/08/03 14:34:02 - mmengine - INFO - Epoch(train) [160][480/1879] lr: 1.0000e-04 eta: 14:22:35 time: 0.2845 data_time: 0.0221 memory: 8198 grad_norm: 6.7705 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9300 loss: 0.9300 2022/08/03 14:34:08 - mmengine - INFO - Epoch(train) [160][500/1879] lr: 1.0000e-04 eta: 14:22:29 time: 0.2830 data_time: 0.0226 memory: 8198 grad_norm: 6.7549 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9255 loss: 0.9255 2022/08/03 14:34:14 - mmengine - INFO - Epoch(train) [160][520/1879] lr: 1.0000e-04 eta: 14:22:23 time: 0.2893 data_time: 0.0226 memory: 8198 grad_norm: 7.1532 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9505 loss: 0.9505 2022/08/03 14:34:19 - mmengine - INFO - Epoch(train) [160][540/1879] lr: 1.0000e-04 eta: 14:22:17 time: 0.2832 data_time: 0.0209 memory: 8198 grad_norm: 7.1354 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/08/03 14:34:25 - mmengine - INFO - Epoch(train) [160][560/1879] lr: 1.0000e-04 eta: 14:22:12 time: 0.2859 data_time: 0.0223 memory: 8198 grad_norm: 6.9480 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0709 loss: 1.0709 2022/08/03 14:34:31 - mmengine - INFO - Epoch(train) [160][580/1879] lr: 1.0000e-04 eta: 14:22:06 time: 0.2853 data_time: 0.0243 memory: 8198 grad_norm: 7.0328 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9282 loss: 0.9282 2022/08/03 14:34:36 - mmengine - INFO - Epoch(train) [160][600/1879] lr: 1.0000e-04 eta: 14:22:00 time: 0.2839 data_time: 0.0209 memory: 8198 grad_norm: 6.9430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1109 loss: 1.1109 2022/08/03 14:34:42 - mmengine - INFO - Epoch(train) [160][620/1879] lr: 1.0000e-04 eta: 14:21:55 time: 0.2853 data_time: 0.0231 memory: 8198 grad_norm: 6.8272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0347 loss: 1.0347 2022/08/03 14:34:48 - mmengine - INFO - Epoch(train) [160][640/1879] lr: 1.0000e-04 eta: 14:21:49 time: 0.2939 data_time: 0.0218 memory: 8198 grad_norm: 6.7985 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0464 loss: 1.0464 2022/08/03 14:34:54 - mmengine - INFO - Epoch(train) [160][660/1879] lr: 1.0000e-04 eta: 14:21:43 time: 0.2853 data_time: 0.0228 memory: 8198 grad_norm: 6.7346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0583 loss: 1.0583 2022/08/03 14:34:59 - mmengine - INFO - Epoch(train) [160][680/1879] lr: 1.0000e-04 eta: 14:21:38 time: 0.2852 data_time: 0.0252 memory: 8198 grad_norm: 6.8094 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8877 loss: 0.8877 2022/08/03 14:35:05 - mmengine - INFO - Epoch(train) [160][700/1879] lr: 1.0000e-04 eta: 14:21:32 time: 0.2878 data_time: 0.0217 memory: 8198 grad_norm: 6.8676 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0384 loss: 1.0384 2022/08/03 14:35:11 - mmengine - INFO - Epoch(train) [160][720/1879] lr: 1.0000e-04 eta: 14:21:26 time: 0.2853 data_time: 0.0228 memory: 8198 grad_norm: 6.7296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/08/03 14:35:17 - mmengine - INFO - Epoch(train) [160][740/1879] lr: 1.0000e-04 eta: 14:21:21 time: 0.2850 data_time: 0.0237 memory: 8198 grad_norm: 6.9363 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0361 loss: 1.0361 2022/08/03 14:35:22 - mmengine - INFO - Epoch(train) [160][760/1879] lr: 1.0000e-04 eta: 14:21:15 time: 0.2866 data_time: 0.0291 memory: 8198 grad_norm: 6.9184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0526 loss: 1.0526 2022/08/03 14:35:28 - mmengine - INFO - Epoch(train) [160][780/1879] lr: 1.0000e-04 eta: 14:21:09 time: 0.2951 data_time: 0.0242 memory: 8198 grad_norm: 7.0036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8797 loss: 0.8797 2022/08/03 14:35:34 - mmengine - INFO - Epoch(train) [160][800/1879] lr: 1.0000e-04 eta: 14:21:04 time: 0.2961 data_time: 0.0225 memory: 8198 grad_norm: 6.6695 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8096 loss: 0.8096 2022/08/03 14:35:40 - mmengine - INFO - Epoch(train) [160][820/1879] lr: 1.0000e-04 eta: 14:20:58 time: 0.2845 data_time: 0.0212 memory: 8198 grad_norm: 6.8812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9000 loss: 0.9000 2022/08/03 14:35:46 - mmengine - INFO - Epoch(train) [160][840/1879] lr: 1.0000e-04 eta: 14:20:53 time: 0.2942 data_time: 0.0234 memory: 8198 grad_norm: 6.9189 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0040 loss: 1.0040 2022/08/03 14:35:52 - mmengine - INFO - Epoch(train) [160][860/1879] lr: 1.0000e-04 eta: 14:20:47 time: 0.2851 data_time: 0.0237 memory: 8198 grad_norm: 7.1556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0463 loss: 1.0463 2022/08/03 14:35:57 - mmengine - INFO - Epoch(train) [160][880/1879] lr: 1.0000e-04 eta: 14:20:41 time: 0.2837 data_time: 0.0182 memory: 8198 grad_norm: 6.8063 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1198 loss: 1.1198 2022/08/03 14:36:03 - mmengine - INFO - Epoch(train) [160][900/1879] lr: 1.0000e-04 eta: 14:20:36 time: 0.2921 data_time: 0.0230 memory: 8198 grad_norm: 6.8038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9262 loss: 0.9262 2022/08/03 14:36:09 - mmengine - INFO - Epoch(train) [160][920/1879] lr: 1.0000e-04 eta: 14:20:30 time: 0.2806 data_time: 0.0194 memory: 8198 grad_norm: 6.9369 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/08/03 14:36:15 - mmengine - INFO - Epoch(train) [160][940/1879] lr: 1.0000e-04 eta: 14:20:24 time: 0.2915 data_time: 0.0256 memory: 8198 grad_norm: 6.7371 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9426 loss: 0.9426 2022/08/03 14:36:20 - mmengine - INFO - Epoch(train) [160][960/1879] lr: 1.0000e-04 eta: 14:20:19 time: 0.2828 data_time: 0.0212 memory: 8198 grad_norm: 7.1106 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9361 loss: 0.9361 2022/08/03 14:36:26 - mmengine - INFO - Epoch(train) [160][980/1879] lr: 1.0000e-04 eta: 14:20:13 time: 0.2854 data_time: 0.0213 memory: 8198 grad_norm: 6.8021 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8403 loss: 0.8403 2022/08/03 14:36:32 - mmengine - INFO - Epoch(train) [160][1000/1879] lr: 1.0000e-04 eta: 14:20:07 time: 0.2844 data_time: 0.0182 memory: 8198 grad_norm: 7.0711 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0076 loss: 1.0076 2022/08/03 14:36:38 - mmengine - INFO - Epoch(train) [160][1020/1879] lr: 1.0000e-04 eta: 14:20:02 time: 0.2904 data_time: 0.0246 memory: 8198 grad_norm: 7.0224 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0993 loss: 1.0993 2022/08/03 14:36:44 - mmengine - INFO - Epoch(train) [160][1040/1879] lr: 1.0000e-04 eta: 14:19:56 time: 0.2914 data_time: 0.0235 memory: 8198 grad_norm: 6.8137 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/03 14:36:49 - mmengine - INFO - Epoch(train) [160][1060/1879] lr: 1.0000e-04 eta: 14:19:50 time: 0.2848 data_time: 0.0241 memory: 8198 grad_norm: 6.7154 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9386 loss: 0.9386 2022/08/03 14:36:55 - mmengine - INFO - Epoch(train) [160][1080/1879] lr: 1.0000e-04 eta: 14:19:45 time: 0.2834 data_time: 0.0228 memory: 8198 grad_norm: 7.1294 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0054 loss: 1.0054 2022/08/03 14:37:01 - mmengine - INFO - Epoch(train) [160][1100/1879] lr: 1.0000e-04 eta: 14:19:39 time: 0.2846 data_time: 0.0242 memory: 8198 grad_norm: 6.8458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9369 loss: 0.9369 2022/08/03 14:37:06 - mmengine - INFO - Epoch(train) [160][1120/1879] lr: 1.0000e-04 eta: 14:19:33 time: 0.2902 data_time: 0.0197 memory: 8198 grad_norm: 6.9796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9545 loss: 0.9545 2022/08/03 14:37:12 - mmengine - INFO - Epoch(train) [160][1140/1879] lr: 1.0000e-04 eta: 14:19:28 time: 0.2858 data_time: 0.0249 memory: 8198 grad_norm: 6.7328 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8261 loss: 0.8261 2022/08/03 14:37:18 - mmengine - INFO - Epoch(train) [160][1160/1879] lr: 1.0000e-04 eta: 14:19:22 time: 0.2855 data_time: 0.0231 memory: 8198 grad_norm: 6.9326 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8705 loss: 0.8705 2022/08/03 14:37:24 - mmengine - INFO - Epoch(train) [160][1180/1879] lr: 1.0000e-04 eta: 14:19:16 time: 0.2917 data_time: 0.0214 memory: 8198 grad_norm: 6.5574 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9581 loss: 0.9581 2022/08/03 14:37:30 - mmengine - INFO - Epoch(train) [160][1200/1879] lr: 1.0000e-04 eta: 14:19:11 time: 0.2870 data_time: 0.0221 memory: 8198 grad_norm: 6.5659 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/03 14:37:35 - mmengine - INFO - Epoch(train) [160][1220/1879] lr: 1.0000e-04 eta: 14:19:05 time: 0.2857 data_time: 0.0204 memory: 8198 grad_norm: 6.6194 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9438 loss: 0.9438 2022/08/03 14:37:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:37:41 - mmengine - INFO - Epoch(train) [160][1240/1879] lr: 1.0000e-04 eta: 14:18:59 time: 0.2841 data_time: 0.0205 memory: 8198 grad_norm: 6.8552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9583 loss: 0.9583 2022/08/03 14:37:47 - mmengine - INFO - Epoch(train) [160][1260/1879] lr: 1.0000e-04 eta: 14:18:54 time: 0.3007 data_time: 0.0208 memory: 8198 grad_norm: 6.9505 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9652 loss: 0.9652 2022/08/03 14:37:53 - mmengine - INFO - Epoch(train) [160][1280/1879] lr: 1.0000e-04 eta: 14:18:48 time: 0.2873 data_time: 0.0211 memory: 8198 grad_norm: 7.0243 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0628 loss: 1.0628 2022/08/03 14:37:59 - mmengine - INFO - Epoch(train) [160][1300/1879] lr: 1.0000e-04 eta: 14:18:42 time: 0.2843 data_time: 0.0201 memory: 8198 grad_norm: 7.0575 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1631 loss: 1.1631 2022/08/03 14:38:04 - mmengine - INFO - Epoch(train) [160][1320/1879] lr: 1.0000e-04 eta: 14:18:37 time: 0.2929 data_time: 0.0248 memory: 8198 grad_norm: 6.8536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2098 loss: 1.2098 2022/08/03 14:38:10 - mmengine - INFO - Epoch(train) [160][1340/1879] lr: 1.0000e-04 eta: 14:18:31 time: 0.2836 data_time: 0.0213 memory: 8198 grad_norm: 6.8864 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/08/03 14:38:16 - mmengine - INFO - Epoch(train) [160][1360/1879] lr: 1.0000e-04 eta: 14:18:25 time: 0.2872 data_time: 0.0246 memory: 8198 grad_norm: 7.1671 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1315 loss: 1.1315 2022/08/03 14:38:22 - mmengine - INFO - Epoch(train) [160][1380/1879] lr: 1.0000e-04 eta: 14:18:20 time: 0.2823 data_time: 0.0229 memory: 8198 grad_norm: 7.3191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/08/03 14:38:28 - mmengine - INFO - Epoch(train) [160][1400/1879] lr: 1.0000e-04 eta: 14:18:14 time: 0.2968 data_time: 0.0228 memory: 8198 grad_norm: 6.6837 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/03 14:38:33 - mmengine - INFO - Epoch(train) [160][1420/1879] lr: 1.0000e-04 eta: 14:18:08 time: 0.2845 data_time: 0.0200 memory: 8198 grad_norm: 6.9711 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9907 loss: 0.9907 2022/08/03 14:38:39 - mmengine - INFO - Epoch(train) [160][1440/1879] lr: 1.0000e-04 eta: 14:18:03 time: 0.2827 data_time: 0.0211 memory: 8198 grad_norm: 6.8327 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9544 loss: 0.9544 2022/08/03 14:38:45 - mmengine - INFO - Epoch(train) [160][1460/1879] lr: 1.0000e-04 eta: 14:17:57 time: 0.2897 data_time: 0.0263 memory: 8198 grad_norm: 7.0768 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0136 loss: 1.0136 2022/08/03 14:38:50 - mmengine - INFO - Epoch(train) [160][1480/1879] lr: 1.0000e-04 eta: 14:17:51 time: 0.2832 data_time: 0.0216 memory: 8198 grad_norm: 6.8685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2620 loss: 1.2620 2022/08/03 14:38:56 - mmengine - INFO - Epoch(train) [160][1500/1879] lr: 1.0000e-04 eta: 14:17:46 time: 0.2870 data_time: 0.0242 memory: 8198 grad_norm: 6.8108 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0206 loss: 1.0206 2022/08/03 14:39:02 - mmengine - INFO - Epoch(train) [160][1520/1879] lr: 1.0000e-04 eta: 14:17:40 time: 0.2836 data_time: 0.0194 memory: 8198 grad_norm: 6.9235 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/03 14:39:08 - mmengine - INFO - Epoch(train) [160][1540/1879] lr: 1.0000e-04 eta: 14:17:34 time: 0.2890 data_time: 0.0209 memory: 8198 grad_norm: 6.8361 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9283 loss: 0.9283 2022/08/03 14:39:13 - mmengine - INFO - Epoch(train) [160][1560/1879] lr: 1.0000e-04 eta: 14:17:29 time: 0.2826 data_time: 0.0212 memory: 8198 grad_norm: 6.6723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9475 loss: 0.9475 2022/08/03 14:39:19 - mmengine - INFO - Epoch(train) [160][1580/1879] lr: 1.0000e-04 eta: 14:17:23 time: 0.2854 data_time: 0.0265 memory: 8198 grad_norm: 6.7903 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8865 loss: 0.8865 2022/08/03 14:39:25 - mmengine - INFO - Epoch(train) [160][1600/1879] lr: 1.0000e-04 eta: 14:17:17 time: 0.2896 data_time: 0.0241 memory: 8198 grad_norm: 6.7898 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8431 loss: 0.8431 2022/08/03 14:39:31 - mmengine - INFO - Epoch(train) [160][1620/1879] lr: 1.0000e-04 eta: 14:17:12 time: 0.2875 data_time: 0.0219 memory: 8198 grad_norm: 6.9113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0458 loss: 1.0458 2022/08/03 14:39:36 - mmengine - INFO - Epoch(train) [160][1640/1879] lr: 1.0000e-04 eta: 14:17:06 time: 0.2849 data_time: 0.0232 memory: 8198 grad_norm: 6.8974 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/08/03 14:39:42 - mmengine - INFO - Epoch(train) [160][1660/1879] lr: 1.0000e-04 eta: 14:17:00 time: 0.2875 data_time: 0.0221 memory: 8198 grad_norm: 6.8807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9437 loss: 0.9437 2022/08/03 14:39:48 - mmengine - INFO - Epoch(train) [160][1680/1879] lr: 1.0000e-04 eta: 14:16:55 time: 0.2898 data_time: 0.0193 memory: 8198 grad_norm: 6.7963 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/08/03 14:39:54 - mmengine - INFO - Epoch(train) [160][1700/1879] lr: 1.0000e-04 eta: 14:16:49 time: 0.2913 data_time: 0.0252 memory: 8198 grad_norm: 6.8722 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9932 loss: 0.9932 2022/08/03 14:39:59 - mmengine - INFO - Epoch(train) [160][1720/1879] lr: 1.0000e-04 eta: 14:16:43 time: 0.2828 data_time: 0.0233 memory: 8198 grad_norm: 6.8988 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8336 loss: 0.8336 2022/08/03 14:40:05 - mmengine - INFO - Epoch(train) [160][1740/1879] lr: 1.0000e-04 eta: 14:16:38 time: 0.2915 data_time: 0.0221 memory: 8198 grad_norm: 7.1242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9726 loss: 0.9726 2022/08/03 14:40:11 - mmengine - INFO - Epoch(train) [160][1760/1879] lr: 1.0000e-04 eta: 14:16:32 time: 0.2874 data_time: 0.0197 memory: 8198 grad_norm: 6.9076 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1552 loss: 1.1552 2022/08/03 14:40:17 - mmengine - INFO - Epoch(train) [160][1780/1879] lr: 1.0000e-04 eta: 14:16:26 time: 0.2883 data_time: 0.0235 memory: 8198 grad_norm: 6.8398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/08/03 14:40:23 - mmengine - INFO - Epoch(train) [160][1800/1879] lr: 1.0000e-04 eta: 14:16:21 time: 0.2856 data_time: 0.0231 memory: 8198 grad_norm: 6.9117 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0615 loss: 1.0615 2022/08/03 14:40:28 - mmengine - INFO - Epoch(train) [160][1820/1879] lr: 1.0000e-04 eta: 14:16:15 time: 0.2908 data_time: 0.0209 memory: 8198 grad_norm: 7.1155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1136 loss: 1.1136 2022/08/03 14:40:34 - mmengine - INFO - Epoch(train) [160][1840/1879] lr: 1.0000e-04 eta: 14:16:09 time: 0.2873 data_time: 0.0209 memory: 8198 grad_norm: 6.7578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/08/03 14:40:40 - mmengine - INFO - Epoch(train) [160][1860/1879] lr: 1.0000e-04 eta: 14:16:04 time: 0.2849 data_time: 0.0279 memory: 8198 grad_norm: 6.9264 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0969 loss: 1.0969 2022/08/03 14:40:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:40:45 - mmengine - INFO - Epoch(train) [160][1879/1879] lr: 1.0000e-04 eta: 14:16:04 time: 0.2628 data_time: 0.0155 memory: 8198 grad_norm: 7.0782 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0017 loss: 1.0017 2022/08/03 14:40:45 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/03 14:40:54 - mmengine - INFO - Epoch(val) [160][20/155] eta: 0:00:46 time: 0.3469 data_time: 0.2525 memory: 1514 2022/08/03 14:40:59 - mmengine - INFO - Epoch(val) [160][40/155] eta: 0:00:25 time: 0.2244 data_time: 0.1336 memory: 1514 2022/08/03 14:41:04 - mmengine - INFO - Epoch(val) [160][60/155] eta: 0:00:27 time: 0.2872 data_time: 0.2011 memory: 1514 2022/08/03 14:41:10 - mmengine - INFO - Epoch(val) [160][80/155] eta: 0:00:21 time: 0.2873 data_time: 0.2026 memory: 1514 2022/08/03 14:41:16 - mmengine - INFO - Epoch(val) [160][100/155] eta: 0:00:17 time: 0.3178 data_time: 0.2307 memory: 1514 2022/08/03 14:41:21 - mmengine - INFO - Epoch(val) [160][120/155] eta: 0:00:07 time: 0.2141 data_time: 0.1281 memory: 1514 2022/08/03 14:41:26 - mmengine - INFO - Epoch(val) [160][140/155] eta: 0:00:04 time: 0.2721 data_time: 0.1831 memory: 1514 2022/08/03 14:41:30 - mmengine - INFO - Epoch(val) [160][155/155] acc/top1: 0.6805 acc/top5: 0.8692 acc/mean1: 0.6804 2022/08/03 14:41:39 - mmengine - INFO - Epoch(train) [161][20/1879] lr: 1.0000e-04 eta: 14:15:51 time: 0.4141 data_time: 0.1133 memory: 8198 grad_norm: 7.0793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9580 loss: 0.9580 2022/08/03 14:41:45 - mmengine - INFO - Epoch(train) [161][40/1879] lr: 1.0000e-04 eta: 14:15:45 time: 0.2958 data_time: 0.0220 memory: 8198 grad_norm: 6.8428 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9443 loss: 0.9443 2022/08/03 14:41:51 - mmengine - INFO - Epoch(train) [161][60/1879] lr: 1.0000e-04 eta: 14:15:40 time: 0.2892 data_time: 0.0201 memory: 8198 grad_norm: 6.9955 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9602 loss: 0.9602 2022/08/03 14:41:57 - mmengine - INFO - Epoch(train) [161][80/1879] lr: 1.0000e-04 eta: 14:15:34 time: 0.2961 data_time: 0.0193 memory: 8198 grad_norm: 6.8784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/08/03 14:42:02 - mmengine - INFO - Epoch(train) [161][100/1879] lr: 1.0000e-04 eta: 14:15:28 time: 0.2842 data_time: 0.0224 memory: 8198 grad_norm: 6.8267 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0366 loss: 1.0366 2022/08/03 14:42:08 - mmengine - INFO - Epoch(train) [161][120/1879] lr: 1.0000e-04 eta: 14:15:23 time: 0.2864 data_time: 0.0225 memory: 8198 grad_norm: 6.6618 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9446 loss: 0.9446 2022/08/03 14:42:14 - mmengine - INFO - Epoch(train) [161][140/1879] lr: 1.0000e-04 eta: 14:15:17 time: 0.2917 data_time: 0.0249 memory: 8198 grad_norm: 6.7883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0479 loss: 1.0479 2022/08/03 14:42:19 - mmengine - INFO - Epoch(train) [161][160/1879] lr: 1.0000e-04 eta: 14:15:11 time: 0.2820 data_time: 0.0199 memory: 8198 grad_norm: 6.7252 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9935 loss: 0.9935 2022/08/03 14:42:25 - mmengine - INFO - Epoch(train) [161][180/1879] lr: 1.0000e-04 eta: 14:15:06 time: 0.2842 data_time: 0.0201 memory: 8198 grad_norm: 7.1505 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8942 loss: 0.8942 2022/08/03 14:42:31 - mmengine - INFO - Epoch(train) [161][200/1879] lr: 1.0000e-04 eta: 14:15:00 time: 0.2816 data_time: 0.0187 memory: 8198 grad_norm: 6.9957 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9187 loss: 0.9187 2022/08/03 14:42:37 - mmengine - INFO - Epoch(train) [161][220/1879] lr: 1.0000e-04 eta: 14:14:54 time: 0.2867 data_time: 0.0215 memory: 8198 grad_norm: 6.6812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8774 loss: 0.8774 2022/08/03 14:42:42 - mmengine - INFO - Epoch(train) [161][240/1879] lr: 1.0000e-04 eta: 14:14:49 time: 0.2856 data_time: 0.0206 memory: 8198 grad_norm: 6.9511 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9638 loss: 0.9638 2022/08/03 14:42:48 - mmengine - INFO - Epoch(train) [161][260/1879] lr: 1.0000e-04 eta: 14:14:43 time: 0.2961 data_time: 0.0215 memory: 8198 grad_norm: 6.9654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9660 loss: 0.9660 2022/08/03 14:42:54 - mmengine - INFO - Epoch(train) [161][280/1879] lr: 1.0000e-04 eta: 14:14:37 time: 0.2863 data_time: 0.0207 memory: 8198 grad_norm: 6.9680 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9270 loss: 0.9270 2022/08/03 14:43:00 - mmengine - INFO - Epoch(train) [161][300/1879] lr: 1.0000e-04 eta: 14:14:32 time: 0.2871 data_time: 0.0274 memory: 8198 grad_norm: 6.9197 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0174 loss: 1.0174 2022/08/03 14:43:05 - mmengine - INFO - Epoch(train) [161][320/1879] lr: 1.0000e-04 eta: 14:14:26 time: 0.2825 data_time: 0.0199 memory: 8198 grad_norm: 7.0576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9506 loss: 0.9506 2022/08/03 14:43:11 - mmengine - INFO - Epoch(train) [161][340/1879] lr: 1.0000e-04 eta: 14:14:20 time: 0.2853 data_time: 0.0200 memory: 8198 grad_norm: 6.8968 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0156 loss: 1.0156 2022/08/03 14:43:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:43:17 - mmengine - INFO - Epoch(train) [161][360/1879] lr: 1.0000e-04 eta: 14:14:15 time: 0.2822 data_time: 0.0237 memory: 8198 grad_norm: 6.8965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9859 loss: 0.9859 2022/08/03 14:43:23 - mmengine - INFO - Epoch(train) [161][380/1879] lr: 1.0000e-04 eta: 14:14:09 time: 0.2889 data_time: 0.0250 memory: 8198 grad_norm: 6.7246 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9206 loss: 0.9206 2022/08/03 14:43:28 - mmengine - INFO - Epoch(train) [161][400/1879] lr: 1.0000e-04 eta: 14:14:03 time: 0.2882 data_time: 0.0178 memory: 8198 grad_norm: 7.0958 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/08/03 14:43:34 - mmengine - INFO - Epoch(train) [161][420/1879] lr: 1.0000e-04 eta: 14:13:58 time: 0.2880 data_time: 0.0231 memory: 8198 grad_norm: 6.9855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/08/03 14:43:40 - mmengine - INFO - Epoch(train) [161][440/1879] lr: 1.0000e-04 eta: 14:13:52 time: 0.2848 data_time: 0.0188 memory: 8198 grad_norm: 6.9578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0187 loss: 1.0187 2022/08/03 14:43:46 - mmengine - INFO - Epoch(train) [161][460/1879] lr: 1.0000e-04 eta: 14:13:46 time: 0.2976 data_time: 0.0225 memory: 8198 grad_norm: 6.9379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1326 loss: 1.1326 2022/08/03 14:43:52 - mmengine - INFO - Epoch(train) [161][480/1879] lr: 1.0000e-04 eta: 14:13:41 time: 0.2860 data_time: 0.0243 memory: 8198 grad_norm: 7.0904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/08/03 14:43:57 - mmengine - INFO - Epoch(train) [161][500/1879] lr: 1.0000e-04 eta: 14:13:35 time: 0.2845 data_time: 0.0219 memory: 8198 grad_norm: 6.7943 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9985 loss: 0.9985 2022/08/03 14:44:03 - mmengine - INFO - Epoch(train) [161][520/1879] lr: 1.0000e-04 eta: 14:13:29 time: 0.2846 data_time: 0.0237 memory: 8198 grad_norm: 6.6517 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0216 loss: 1.0216 2022/08/03 14:44:09 - mmengine - INFO - Epoch(train) [161][540/1879] lr: 1.0000e-04 eta: 14:13:24 time: 0.2911 data_time: 0.0225 memory: 8198 grad_norm: 6.8351 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/03 14:44:15 - mmengine - INFO - Epoch(train) [161][560/1879] lr: 1.0000e-04 eta: 14:13:18 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 7.1131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/08/03 14:44:20 - mmengine - INFO - Epoch(train) [161][580/1879] lr: 1.0000e-04 eta: 14:13:12 time: 0.2892 data_time: 0.0280 memory: 8198 grad_norm: 7.0268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/08/03 14:44:27 - mmengine - INFO - Epoch(train) [161][600/1879] lr: 1.0000e-04 eta: 14:13:07 time: 0.3011 data_time: 0.0195 memory: 8198 grad_norm: 7.0229 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9915 loss: 0.9915 2022/08/03 14:44:32 - mmengine - INFO - Epoch(train) [161][620/1879] lr: 1.0000e-04 eta: 14:13:01 time: 0.2804 data_time: 0.0222 memory: 8198 grad_norm: 6.7718 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9028 loss: 0.9028 2022/08/03 14:44:38 - mmengine - INFO - Epoch(train) [161][640/1879] lr: 1.0000e-04 eta: 14:12:55 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 6.8319 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9392 loss: 0.9392 2022/08/03 14:44:44 - mmengine - INFO - Epoch(train) [161][660/1879] lr: 1.0000e-04 eta: 14:12:50 time: 0.2947 data_time: 0.0238 memory: 8198 grad_norm: 6.9254 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0104 loss: 1.0104 2022/08/03 14:44:50 - mmengine - INFO - Epoch(train) [161][680/1879] lr: 1.0000e-04 eta: 14:12:44 time: 0.2890 data_time: 0.0238 memory: 8198 grad_norm: 6.8812 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/08/03 14:44:55 - mmengine - INFO - Epoch(train) [161][700/1879] lr: 1.0000e-04 eta: 14:12:39 time: 0.2836 data_time: 0.0224 memory: 8198 grad_norm: 6.9705 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9390 loss: 0.9390 2022/08/03 14:45:01 - mmengine - INFO - Epoch(train) [161][720/1879] lr: 1.0000e-04 eta: 14:12:33 time: 0.2826 data_time: 0.0215 memory: 8198 grad_norm: 6.8383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1102 loss: 1.1102 2022/08/03 14:45:08 - mmengine - INFO - Epoch(train) [161][740/1879] lr: 1.0000e-04 eta: 14:12:28 time: 0.3273 data_time: 0.0215 memory: 8198 grad_norm: 6.8396 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9971 loss: 0.9971 2022/08/03 14:45:13 - mmengine - INFO - Epoch(train) [161][760/1879] lr: 1.0000e-04 eta: 14:12:22 time: 0.2840 data_time: 0.0194 memory: 8198 grad_norm: 6.8216 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/03 14:45:19 - mmengine - INFO - Epoch(train) [161][780/1879] lr: 1.0000e-04 eta: 14:12:16 time: 0.2844 data_time: 0.0254 memory: 8198 grad_norm: 6.9285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9671 loss: 0.9671 2022/08/03 14:45:25 - mmengine - INFO - Epoch(train) [161][800/1879] lr: 1.0000e-04 eta: 14:12:11 time: 0.2980 data_time: 0.0238 memory: 8198 grad_norm: 7.0465 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0024 loss: 1.0024 2022/08/03 14:45:31 - mmengine - INFO - Epoch(train) [161][820/1879] lr: 1.0000e-04 eta: 14:12:05 time: 0.2816 data_time: 0.0191 memory: 8198 grad_norm: 7.0075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9851 loss: 0.9851 2022/08/03 14:45:36 - mmengine - INFO - Epoch(train) [161][840/1879] lr: 1.0000e-04 eta: 14:11:59 time: 0.2840 data_time: 0.0241 memory: 8198 grad_norm: 6.8476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1064 loss: 1.1064 2022/08/03 14:45:42 - mmengine - INFO - Epoch(train) [161][860/1879] lr: 1.0000e-04 eta: 14:11:54 time: 0.2898 data_time: 0.0251 memory: 8198 grad_norm: 6.9732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9421 loss: 0.9421 2022/08/03 14:45:48 - mmengine - INFO - Epoch(train) [161][880/1879] lr: 1.0000e-04 eta: 14:11:48 time: 0.3052 data_time: 0.0243 memory: 8198 grad_norm: 7.0037 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9343 loss: 0.9343 2022/08/03 14:45:54 - mmengine - INFO - Epoch(train) [161][900/1879] lr: 1.0000e-04 eta: 14:11:43 time: 0.2886 data_time: 0.0280 memory: 8198 grad_norm: 6.8854 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9812 loss: 0.9812 2022/08/03 14:46:00 - mmengine - INFO - Epoch(train) [161][920/1879] lr: 1.0000e-04 eta: 14:11:37 time: 0.2819 data_time: 0.0236 memory: 8198 grad_norm: 7.0553 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9150 loss: 0.9150 2022/08/03 14:46:05 - mmengine - INFO - Epoch(train) [161][940/1879] lr: 1.0000e-04 eta: 14:11:31 time: 0.2897 data_time: 0.0235 memory: 8198 grad_norm: 6.9698 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0001 loss: 1.0001 2022/08/03 14:46:11 - mmengine - INFO - Epoch(train) [161][960/1879] lr: 1.0000e-04 eta: 14:11:25 time: 0.2836 data_time: 0.0220 memory: 8198 grad_norm: 6.9862 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8948 loss: 0.8948 2022/08/03 14:46:17 - mmengine - INFO - Epoch(train) [161][980/1879] lr: 1.0000e-04 eta: 14:11:20 time: 0.2870 data_time: 0.0211 memory: 8198 grad_norm: 6.9530 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1036 loss: 1.1036 2022/08/03 14:46:23 - mmengine - INFO - Epoch(train) [161][1000/1879] lr: 1.0000e-04 eta: 14:11:14 time: 0.2855 data_time: 0.0241 memory: 8198 grad_norm: 6.6867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0691 loss: 1.0691 2022/08/03 14:46:29 - mmengine - INFO - Epoch(train) [161][1020/1879] lr: 1.0000e-04 eta: 14:11:09 time: 0.2943 data_time: 0.0245 memory: 8198 grad_norm: 6.8629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9490 loss: 0.9490 2022/08/03 14:46:34 - mmengine - INFO - Epoch(train) [161][1040/1879] lr: 1.0000e-04 eta: 14:11:03 time: 0.2845 data_time: 0.0237 memory: 8198 grad_norm: 7.2556 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0704 loss: 1.0704 2022/08/03 14:46:40 - mmengine - INFO - Epoch(train) [161][1060/1879] lr: 1.0000e-04 eta: 14:10:57 time: 0.2861 data_time: 0.0256 memory: 8198 grad_norm: 6.8461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0658 loss: 1.0658 2022/08/03 14:46:46 - mmengine - INFO - Epoch(train) [161][1080/1879] lr: 1.0000e-04 eta: 14:10:52 time: 0.3009 data_time: 0.0212 memory: 8198 grad_norm: 6.8751 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/03 14:46:52 - mmengine - INFO - Epoch(train) [161][1100/1879] lr: 1.0000e-04 eta: 14:10:46 time: 0.2818 data_time: 0.0211 memory: 8198 grad_norm: 6.9107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0041 loss: 1.0041 2022/08/03 14:46:58 - mmengine - INFO - Epoch(train) [161][1120/1879] lr: 1.0000e-04 eta: 14:10:40 time: 0.2881 data_time: 0.0307 memory: 8198 grad_norm: 6.8993 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1370 loss: 1.1370 2022/08/03 14:47:03 - mmengine - INFO - Epoch(train) [161][1140/1879] lr: 1.0000e-04 eta: 14:10:35 time: 0.2833 data_time: 0.0205 memory: 8198 grad_norm: 7.2783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8825 loss: 0.8825 2022/08/03 14:47:09 - mmengine - INFO - Epoch(train) [161][1160/1879] lr: 1.0000e-04 eta: 14:10:29 time: 0.2928 data_time: 0.0235 memory: 8198 grad_norm: 6.6667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/03 14:47:15 - mmengine - INFO - Epoch(train) [161][1180/1879] lr: 1.0000e-04 eta: 14:10:23 time: 0.2825 data_time: 0.0236 memory: 8198 grad_norm: 6.8430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/03 14:47:20 - mmengine - INFO - Epoch(train) [161][1200/1879] lr: 1.0000e-04 eta: 14:10:18 time: 0.2840 data_time: 0.0209 memory: 8198 grad_norm: 6.8039 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1346 loss: 1.1346 2022/08/03 14:47:26 - mmengine - INFO - Epoch(train) [161][1220/1879] lr: 1.0000e-04 eta: 14:10:12 time: 0.2948 data_time: 0.0238 memory: 8198 grad_norm: 6.8862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/08/03 14:47:32 - mmengine - INFO - Epoch(train) [161][1240/1879] lr: 1.0000e-04 eta: 14:10:06 time: 0.2835 data_time: 0.0167 memory: 8198 grad_norm: 6.8534 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9130 loss: 0.9130 2022/08/03 14:47:38 - mmengine - INFO - Epoch(train) [161][1260/1879] lr: 1.0000e-04 eta: 14:10:01 time: 0.2860 data_time: 0.0215 memory: 8198 grad_norm: 6.9627 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7881 loss: 0.7881 2022/08/03 14:47:44 - mmengine - INFO - Epoch(train) [161][1280/1879] lr: 1.0000e-04 eta: 14:09:55 time: 0.2844 data_time: 0.0206 memory: 8198 grad_norm: 6.9362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9159 loss: 0.9159 2022/08/03 14:47:49 - mmengine - INFO - Epoch(train) [161][1300/1879] lr: 1.0000e-04 eta: 14:09:49 time: 0.2944 data_time: 0.0240 memory: 8198 grad_norm: 6.8836 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9693 loss: 0.9693 2022/08/03 14:47:55 - mmengine - INFO - Epoch(train) [161][1320/1879] lr: 1.0000e-04 eta: 14:09:44 time: 0.2901 data_time: 0.0323 memory: 8198 grad_norm: 6.8668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0016 loss: 1.0016 2022/08/03 14:48:01 - mmengine - INFO - Epoch(train) [161][1340/1879] lr: 1.0000e-04 eta: 14:09:38 time: 0.2827 data_time: 0.0227 memory: 8198 grad_norm: 6.9489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8880 loss: 0.8880 2022/08/03 14:48:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:48:07 - mmengine - INFO - Epoch(train) [161][1360/1879] lr: 1.0000e-04 eta: 14:09:32 time: 0.2858 data_time: 0.0196 memory: 8198 grad_norm: 6.8919 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/03 14:48:12 - mmengine - INFO - Epoch(train) [161][1380/1879] lr: 1.0000e-04 eta: 14:09:27 time: 0.2857 data_time: 0.0246 memory: 8198 grad_norm: 6.9705 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0185 loss: 1.0185 2022/08/03 14:48:18 - mmengine - INFO - Epoch(train) [161][1400/1879] lr: 1.0000e-04 eta: 14:09:21 time: 0.2836 data_time: 0.0177 memory: 8198 grad_norm: 7.1165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8623 loss: 0.8623 2022/08/03 14:48:24 - mmengine - INFO - Epoch(train) [161][1420/1879] lr: 1.0000e-04 eta: 14:09:15 time: 0.2898 data_time: 0.0268 memory: 8198 grad_norm: 7.0693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9791 loss: 0.9791 2022/08/03 14:48:30 - mmengine - INFO - Epoch(train) [161][1440/1879] lr: 1.0000e-04 eta: 14:09:10 time: 0.2879 data_time: 0.0185 memory: 8198 grad_norm: 6.7954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9783 loss: 0.9783 2022/08/03 14:48:35 - mmengine - INFO - Epoch(train) [161][1460/1879] lr: 1.0000e-04 eta: 14:09:04 time: 0.2826 data_time: 0.0202 memory: 8198 grad_norm: 6.9294 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8673 loss: 0.8673 2022/08/03 14:48:41 - mmengine - INFO - Epoch(train) [161][1480/1879] lr: 1.0000e-04 eta: 14:08:58 time: 0.2879 data_time: 0.0219 memory: 8198 grad_norm: 7.0362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9263 loss: 0.9263 2022/08/03 14:48:47 - mmengine - INFO - Epoch(train) [161][1500/1879] lr: 1.0000e-04 eta: 14:08:53 time: 0.2885 data_time: 0.0217 memory: 8198 grad_norm: 6.8566 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7658 loss: 0.7658 2022/08/03 14:48:53 - mmengine - INFO - Epoch(train) [161][1520/1879] lr: 1.0000e-04 eta: 14:08:47 time: 0.2840 data_time: 0.0264 memory: 8198 grad_norm: 7.0088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0924 loss: 1.0924 2022/08/03 14:48:58 - mmengine - INFO - Epoch(train) [161][1540/1879] lr: 1.0000e-04 eta: 14:08:41 time: 0.2872 data_time: 0.0236 memory: 8198 grad_norm: 7.1388 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8921 loss: 0.8921 2022/08/03 14:49:04 - mmengine - INFO - Epoch(train) [161][1560/1879] lr: 1.0000e-04 eta: 14:08:35 time: 0.2852 data_time: 0.0249 memory: 8198 grad_norm: 6.8381 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0805 loss: 1.0805 2022/08/03 14:49:10 - mmengine - INFO - Epoch(train) [161][1580/1879] lr: 1.0000e-04 eta: 14:08:30 time: 0.2858 data_time: 0.0210 memory: 8198 grad_norm: 7.0032 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9302 loss: 0.9302 2022/08/03 14:49:16 - mmengine - INFO - Epoch(train) [161][1600/1879] lr: 1.0000e-04 eta: 14:08:24 time: 0.2833 data_time: 0.0201 memory: 8198 grad_norm: 6.7042 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8771 loss: 0.8771 2022/08/03 14:49:21 - mmengine - INFO - Epoch(train) [161][1620/1879] lr: 1.0000e-04 eta: 14:08:18 time: 0.2870 data_time: 0.0250 memory: 8198 grad_norm: 6.9222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/08/03 14:49:27 - mmengine - INFO - Epoch(train) [161][1640/1879] lr: 1.0000e-04 eta: 14:08:13 time: 0.2898 data_time: 0.0218 memory: 8198 grad_norm: 6.8517 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8417 loss: 0.8417 2022/08/03 14:49:33 - mmengine - INFO - Epoch(train) [161][1660/1879] lr: 1.0000e-04 eta: 14:08:07 time: 0.2933 data_time: 0.0208 memory: 8198 grad_norm: 6.7522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9766 loss: 0.9766 2022/08/03 14:49:39 - mmengine - INFO - Epoch(train) [161][1680/1879] lr: 1.0000e-04 eta: 14:08:01 time: 0.2836 data_time: 0.0252 memory: 8198 grad_norm: 6.9789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/08/03 14:49:45 - mmengine - INFO - Epoch(train) [161][1700/1879] lr: 1.0000e-04 eta: 14:07:56 time: 0.2887 data_time: 0.0241 memory: 8198 grad_norm: 6.9596 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9837 loss: 0.9837 2022/08/03 14:49:50 - mmengine - INFO - Epoch(train) [161][1720/1879] lr: 1.0000e-04 eta: 14:07:50 time: 0.2847 data_time: 0.0215 memory: 8198 grad_norm: 6.9900 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/08/03 14:49:56 - mmengine - INFO - Epoch(train) [161][1740/1879] lr: 1.0000e-04 eta: 14:07:44 time: 0.2859 data_time: 0.0247 memory: 8198 grad_norm: 7.0038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0890 loss: 1.0890 2022/08/03 14:50:02 - mmengine - INFO - Epoch(train) [161][1760/1879] lr: 1.0000e-04 eta: 14:07:39 time: 0.2885 data_time: 0.0232 memory: 8198 grad_norm: 6.8543 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/03 14:50:08 - mmengine - INFO - Epoch(train) [161][1780/1879] lr: 1.0000e-04 eta: 14:07:33 time: 0.2841 data_time: 0.0216 memory: 8198 grad_norm: 6.8891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9462 loss: 0.9462 2022/08/03 14:50:13 - mmengine - INFO - Epoch(train) [161][1800/1879] lr: 1.0000e-04 eta: 14:07:27 time: 0.2851 data_time: 0.0229 memory: 8198 grad_norm: 7.0200 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0534 loss: 1.0534 2022/08/03 14:50:19 - mmengine - INFO - Epoch(train) [161][1820/1879] lr: 1.0000e-04 eta: 14:07:22 time: 0.2890 data_time: 0.0249 memory: 8198 grad_norm: 6.7886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/08/03 14:50:25 - mmengine - INFO - Epoch(train) [161][1840/1879] lr: 1.0000e-04 eta: 14:07:16 time: 0.2886 data_time: 0.0215 memory: 8198 grad_norm: 6.9312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9524 loss: 0.9524 2022/08/03 14:50:31 - mmengine - INFO - Epoch(train) [161][1860/1879] lr: 1.0000e-04 eta: 14:07:10 time: 0.2867 data_time: 0.0255 memory: 8198 grad_norm: 7.0218 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0237 loss: 1.0237 2022/08/03 14:50:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:50:36 - mmengine - INFO - Epoch(train) [161][1879/1879] lr: 1.0000e-04 eta: 14:07:10 time: 0.2587 data_time: 0.0169 memory: 8198 grad_norm: 6.8251 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0011 loss: 1.0011 2022/08/03 14:50:44 - mmengine - INFO - Epoch(train) [162][20/1879] lr: 1.0000e-04 eta: 14:06:58 time: 0.4161 data_time: 0.1453 memory: 8198 grad_norm: 7.1556 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0997 loss: 1.0997 2022/08/03 14:50:50 - mmengine - INFO - Epoch(train) [162][40/1879] lr: 1.0000e-04 eta: 14:06:52 time: 0.2932 data_time: 0.0252 memory: 8198 grad_norm: 7.0662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0705 loss: 1.0705 2022/08/03 14:50:56 - mmengine - INFO - Epoch(train) [162][60/1879] lr: 1.0000e-04 eta: 14:06:47 time: 0.2985 data_time: 0.0280 memory: 8198 grad_norm: 7.1274 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0777 loss: 1.0777 2022/08/03 14:51:02 - mmengine - INFO - Epoch(train) [162][80/1879] lr: 1.0000e-04 eta: 14:06:41 time: 0.2842 data_time: 0.0236 memory: 8198 grad_norm: 7.2408 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0454 loss: 1.0454 2022/08/03 14:51:07 - mmengine - INFO - Epoch(train) [162][100/1879] lr: 1.0000e-04 eta: 14:06:35 time: 0.2859 data_time: 0.0270 memory: 8198 grad_norm: 6.8959 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0876 loss: 1.0876 2022/08/03 14:51:13 - mmengine - INFO - Epoch(train) [162][120/1879] lr: 1.0000e-04 eta: 14:06:29 time: 0.2840 data_time: 0.0205 memory: 8198 grad_norm: 7.1242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/08/03 14:51:19 - mmengine - INFO - Epoch(train) [162][140/1879] lr: 1.0000e-04 eta: 14:06:24 time: 0.2905 data_time: 0.0215 memory: 8198 grad_norm: 6.7370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0036 loss: 1.0036 2022/08/03 14:51:25 - mmengine - INFO - Epoch(train) [162][160/1879] lr: 1.0000e-04 eta: 14:06:18 time: 0.3005 data_time: 0.0208 memory: 8198 grad_norm: 6.8942 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0476 loss: 1.0476 2022/08/03 14:51:31 - mmengine - INFO - Epoch(train) [162][180/1879] lr: 1.0000e-04 eta: 14:06:13 time: 0.2864 data_time: 0.0210 memory: 8198 grad_norm: 7.0166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0772 loss: 1.0772 2022/08/03 14:51:37 - mmengine - INFO - Epoch(train) [162][200/1879] lr: 1.0000e-04 eta: 14:06:07 time: 0.2952 data_time: 0.0201 memory: 8198 grad_norm: 7.0207 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9863 loss: 0.9863 2022/08/03 14:51:42 - mmengine - INFO - Epoch(train) [162][220/1879] lr: 1.0000e-04 eta: 14:06:01 time: 0.2866 data_time: 0.0226 memory: 8198 grad_norm: 7.1294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0533 loss: 1.0533 2022/08/03 14:51:48 - mmengine - INFO - Epoch(train) [162][240/1879] lr: 1.0000e-04 eta: 14:05:56 time: 0.2835 data_time: 0.0223 memory: 8198 grad_norm: 7.2812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/08/03 14:51:54 - mmengine - INFO - Epoch(train) [162][260/1879] lr: 1.0000e-04 eta: 14:05:50 time: 0.2826 data_time: 0.0208 memory: 8198 grad_norm: 6.9163 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0158 loss: 1.0158 2022/08/03 14:52:00 - mmengine - INFO - Epoch(train) [162][280/1879] lr: 1.0000e-04 eta: 14:05:45 time: 0.3027 data_time: 0.0231 memory: 8198 grad_norm: 7.0611 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0337 loss: 1.0337 2022/08/03 14:52:06 - mmengine - INFO - Epoch(train) [162][300/1879] lr: 1.0000e-04 eta: 14:05:39 time: 0.2923 data_time: 0.0233 memory: 8198 grad_norm: 6.7621 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0825 loss: 1.0825 2022/08/03 14:52:11 - mmengine - INFO - Epoch(train) [162][320/1879] lr: 1.0000e-04 eta: 14:05:33 time: 0.2917 data_time: 0.0188 memory: 8198 grad_norm: 7.0346 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9843 loss: 0.9843 2022/08/03 14:52:17 - mmengine - INFO - Epoch(train) [162][340/1879] lr: 1.0000e-04 eta: 14:05:28 time: 0.2906 data_time: 0.0215 memory: 8198 grad_norm: 6.7951 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/08/03 14:52:23 - mmengine - INFO - Epoch(train) [162][360/1879] lr: 1.0000e-04 eta: 14:05:22 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 7.1079 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0018 loss: 1.0018 2022/08/03 14:52:29 - mmengine - INFO - Epoch(train) [162][380/1879] lr: 1.0000e-04 eta: 14:05:16 time: 0.2877 data_time: 0.0200 memory: 8198 grad_norm: 7.2137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0051 loss: 1.0051 2022/08/03 14:52:35 - mmengine - INFO - Epoch(train) [162][400/1879] lr: 1.0000e-04 eta: 14:05:11 time: 0.2956 data_time: 0.0276 memory: 8198 grad_norm: 7.0850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0649 loss: 1.0649 2022/08/03 14:52:40 - mmengine - INFO - Epoch(train) [162][420/1879] lr: 1.0000e-04 eta: 14:05:05 time: 0.2807 data_time: 0.0251 memory: 8198 grad_norm: 6.9302 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2817 loss: 1.2817 2022/08/03 14:52:46 - mmengine - INFO - Epoch(train) [162][440/1879] lr: 1.0000e-04 eta: 14:04:59 time: 0.2841 data_time: 0.0198 memory: 8198 grad_norm: 6.8420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/08/03 14:52:52 - mmengine - INFO - Epoch(train) [162][460/1879] lr: 1.0000e-04 eta: 14:04:54 time: 0.2887 data_time: 0.0248 memory: 8198 grad_norm: 6.6602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/08/03 14:52:58 - mmengine - INFO - Epoch(train) [162][480/1879] lr: 1.0000e-04 eta: 14:04:48 time: 0.2906 data_time: 0.0235 memory: 8198 grad_norm: 6.8831 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9013 loss: 0.9013 2022/08/03 14:52:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:53:03 - mmengine - INFO - Epoch(train) [162][500/1879] lr: 1.0000e-04 eta: 14:04:42 time: 0.2796 data_time: 0.0214 memory: 8198 grad_norm: 6.8594 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0474 loss: 1.0474 2022/08/03 14:53:09 - mmengine - INFO - Epoch(train) [162][520/1879] lr: 1.0000e-04 eta: 14:04:37 time: 0.2927 data_time: 0.0204 memory: 8198 grad_norm: 7.0163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9340 loss: 0.9340 2022/08/03 14:53:15 - mmengine - INFO - Epoch(train) [162][540/1879] lr: 1.0000e-04 eta: 14:04:31 time: 0.2872 data_time: 0.0217 memory: 8198 grad_norm: 6.9055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1759 loss: 1.1759 2022/08/03 14:53:21 - mmengine - INFO - Epoch(train) [162][560/1879] lr: 1.0000e-04 eta: 14:04:25 time: 0.2933 data_time: 0.0227 memory: 8198 grad_norm: 6.9239 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8548 loss: 0.8548 2022/08/03 14:53:27 - mmengine - INFO - Epoch(train) [162][580/1879] lr: 1.0000e-04 eta: 14:04:20 time: 0.2863 data_time: 0.0232 memory: 8198 grad_norm: 6.6996 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9195 loss: 0.9195 2022/08/03 14:53:32 - mmengine - INFO - Epoch(train) [162][600/1879] lr: 1.0000e-04 eta: 14:04:14 time: 0.2831 data_time: 0.0220 memory: 8198 grad_norm: 7.1691 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0957 loss: 1.0957 2022/08/03 14:53:38 - mmengine - INFO - Epoch(train) [162][620/1879] lr: 1.0000e-04 eta: 14:04:08 time: 0.2861 data_time: 0.0240 memory: 8198 grad_norm: 6.9526 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8749 loss: 0.8749 2022/08/03 14:53:44 - mmengine - INFO - Epoch(train) [162][640/1879] lr: 1.0000e-04 eta: 14:04:03 time: 0.2849 data_time: 0.0251 memory: 8198 grad_norm: 6.8256 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0292 loss: 1.0292 2022/08/03 14:53:50 - mmengine - INFO - Epoch(train) [162][660/1879] lr: 1.0000e-04 eta: 14:03:57 time: 0.2872 data_time: 0.0256 memory: 8198 grad_norm: 6.9394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0681 loss: 1.0681 2022/08/03 14:53:55 - mmengine - INFO - Epoch(train) [162][680/1879] lr: 1.0000e-04 eta: 14:03:51 time: 0.2888 data_time: 0.0249 memory: 8198 grad_norm: 6.9818 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9306 loss: 0.9306 2022/08/03 14:54:01 - mmengine - INFO - Epoch(train) [162][700/1879] lr: 1.0000e-04 eta: 14:03:46 time: 0.2853 data_time: 0.0232 memory: 8198 grad_norm: 6.9986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9854 loss: 0.9854 2022/08/03 14:54:07 - mmengine - INFO - Epoch(train) [162][720/1879] lr: 1.0000e-04 eta: 14:03:40 time: 0.2901 data_time: 0.0214 memory: 8198 grad_norm: 6.9512 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0730 loss: 1.0730 2022/08/03 14:54:13 - mmengine - INFO - Epoch(train) [162][740/1879] lr: 1.0000e-04 eta: 14:03:34 time: 0.2859 data_time: 0.0263 memory: 8198 grad_norm: 7.0141 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9906 loss: 0.9906 2022/08/03 14:54:18 - mmengine - INFO - Epoch(train) [162][760/1879] lr: 1.0000e-04 eta: 14:03:29 time: 0.2904 data_time: 0.0274 memory: 8198 grad_norm: 6.7955 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0085 loss: 1.0085 2022/08/03 14:54:24 - mmengine - INFO - Epoch(train) [162][780/1879] lr: 1.0000e-04 eta: 14:03:23 time: 0.2847 data_time: 0.0243 memory: 8198 grad_norm: 6.8981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0895 loss: 1.0895 2022/08/03 14:54:30 - mmengine - INFO - Epoch(train) [162][800/1879] lr: 1.0000e-04 eta: 14:03:17 time: 0.2906 data_time: 0.0226 memory: 8198 grad_norm: 6.9879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9103 loss: 0.9103 2022/08/03 14:54:36 - mmengine - INFO - Epoch(train) [162][820/1879] lr: 1.0000e-04 eta: 14:03:12 time: 0.2816 data_time: 0.0226 memory: 8198 grad_norm: 6.6123 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9042 loss: 0.9042 2022/08/03 14:54:41 - mmengine - INFO - Epoch(train) [162][840/1879] lr: 1.0000e-04 eta: 14:03:06 time: 0.2872 data_time: 0.0314 memory: 8198 grad_norm: 6.9146 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9029 loss: 0.9029 2022/08/03 14:54:47 - mmengine - INFO - Epoch(train) [162][860/1879] lr: 1.0000e-04 eta: 14:03:00 time: 0.2974 data_time: 0.0253 memory: 8198 grad_norm: 6.9244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0655 loss: 1.0655 2022/08/03 14:54:53 - mmengine - INFO - Epoch(train) [162][880/1879] lr: 1.0000e-04 eta: 14:02:55 time: 0.2824 data_time: 0.0181 memory: 8198 grad_norm: 6.9782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8052 loss: 0.8052 2022/08/03 14:54:59 - mmengine - INFO - Epoch(train) [162][900/1879] lr: 1.0000e-04 eta: 14:02:49 time: 0.2861 data_time: 0.0235 memory: 8198 grad_norm: 6.8909 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9271 loss: 0.9271 2022/08/03 14:55:05 - mmengine - INFO - Epoch(train) [162][920/1879] lr: 1.0000e-04 eta: 14:02:43 time: 0.2843 data_time: 0.0224 memory: 8198 grad_norm: 6.9690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8586 loss: 0.8586 2022/08/03 14:55:10 - mmengine - INFO - Epoch(train) [162][940/1879] lr: 1.0000e-04 eta: 14:02:38 time: 0.2862 data_time: 0.0236 memory: 8198 grad_norm: 7.0350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8085 loss: 0.8085 2022/08/03 14:55:16 - mmengine - INFO - Epoch(train) [162][960/1879] lr: 1.0000e-04 eta: 14:02:32 time: 0.2833 data_time: 0.0223 memory: 8198 grad_norm: 7.0790 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/08/03 14:55:22 - mmengine - INFO - Epoch(train) [162][980/1879] lr: 1.0000e-04 eta: 14:02:26 time: 0.2848 data_time: 0.0219 memory: 8198 grad_norm: 7.2066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1918 loss: 1.1918 2022/08/03 14:55:27 - mmengine - INFO - Epoch(train) [162][1000/1879] lr: 1.0000e-04 eta: 14:02:21 time: 0.2900 data_time: 0.0241 memory: 8198 grad_norm: 6.9738 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0786 loss: 1.0786 2022/08/03 14:55:33 - mmengine - INFO - Epoch(train) [162][1020/1879] lr: 1.0000e-04 eta: 14:02:15 time: 0.2967 data_time: 0.0195 memory: 8198 grad_norm: 7.0401 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/08/03 14:55:39 - mmengine - INFO - Epoch(train) [162][1040/1879] lr: 1.0000e-04 eta: 14:02:09 time: 0.2843 data_time: 0.0227 memory: 8198 grad_norm: 7.1265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/08/03 14:55:45 - mmengine - INFO - Epoch(train) [162][1060/1879] lr: 1.0000e-04 eta: 14:02:04 time: 0.2929 data_time: 0.0227 memory: 8198 grad_norm: 6.9221 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0120 loss: 1.0120 2022/08/03 14:55:51 - mmengine - INFO - Epoch(train) [162][1080/1879] lr: 1.0000e-04 eta: 14:01:58 time: 0.2867 data_time: 0.0296 memory: 8198 grad_norm: 6.8717 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9470 loss: 0.9470 2022/08/03 14:55:57 - mmengine - INFO - Epoch(train) [162][1100/1879] lr: 1.0000e-04 eta: 14:01:52 time: 0.2881 data_time: 0.0236 memory: 8198 grad_norm: 7.0264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0080 loss: 1.0080 2022/08/03 14:56:02 - mmengine - INFO - Epoch(train) [162][1120/1879] lr: 1.0000e-04 eta: 14:01:47 time: 0.2865 data_time: 0.0194 memory: 8198 grad_norm: 6.7690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0496 loss: 1.0496 2022/08/03 14:56:08 - mmengine - INFO - Epoch(train) [162][1140/1879] lr: 1.0000e-04 eta: 14:01:41 time: 0.2896 data_time: 0.0223 memory: 8198 grad_norm: 6.9055 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/08/03 14:56:14 - mmengine - INFO - Epoch(train) [162][1160/1879] lr: 1.0000e-04 eta: 14:01:35 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 6.8230 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1833 loss: 1.1833 2022/08/03 14:56:20 - mmengine - INFO - Epoch(train) [162][1180/1879] lr: 1.0000e-04 eta: 14:01:30 time: 0.2889 data_time: 0.0280 memory: 8198 grad_norm: 6.9608 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0134 loss: 1.0134 2022/08/03 14:56:25 - mmengine - INFO - Epoch(train) [162][1200/1879] lr: 1.0000e-04 eta: 14:01:24 time: 0.2884 data_time: 0.0232 memory: 8198 grad_norm: 6.8503 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/03 14:56:31 - mmengine - INFO - Epoch(train) [162][1220/1879] lr: 1.0000e-04 eta: 14:01:18 time: 0.2846 data_time: 0.0242 memory: 8198 grad_norm: 6.8439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1424 loss: 1.1424 2022/08/03 14:56:37 - mmengine - INFO - Epoch(train) [162][1240/1879] lr: 1.0000e-04 eta: 14:01:13 time: 0.2865 data_time: 0.0210 memory: 8198 grad_norm: 7.0201 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/03 14:56:43 - mmengine - INFO - Epoch(train) [162][1260/1879] lr: 1.0000e-04 eta: 14:01:07 time: 0.2830 data_time: 0.0204 memory: 8198 grad_norm: 6.7855 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9705 loss: 0.9705 2022/08/03 14:56:48 - mmengine - INFO - Epoch(train) [162][1280/1879] lr: 1.0000e-04 eta: 14:01:01 time: 0.2901 data_time: 0.0250 memory: 8198 grad_norm: 6.8790 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0973 loss: 1.0973 2022/08/03 14:56:54 - mmengine - INFO - Epoch(train) [162][1300/1879] lr: 1.0000e-04 eta: 14:00:56 time: 0.2867 data_time: 0.0257 memory: 8198 grad_norm: 6.9219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9649 loss: 0.9649 2022/08/03 14:57:00 - mmengine - INFO - Epoch(train) [162][1320/1879] lr: 1.0000e-04 eta: 14:00:50 time: 0.2876 data_time: 0.0242 memory: 8198 grad_norm: 6.9326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/08/03 14:57:06 - mmengine - INFO - Epoch(train) [162][1340/1879] lr: 1.0000e-04 eta: 14:00:44 time: 0.2842 data_time: 0.0232 memory: 8198 grad_norm: 6.8332 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/03 14:57:11 - mmengine - INFO - Epoch(train) [162][1360/1879] lr: 1.0000e-04 eta: 14:00:39 time: 0.2847 data_time: 0.0203 memory: 8198 grad_norm: 6.9858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/08/03 14:57:17 - mmengine - INFO - Epoch(train) [162][1380/1879] lr: 1.0000e-04 eta: 14:00:33 time: 0.2937 data_time: 0.0226 memory: 8198 grad_norm: 6.9396 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9749 loss: 0.9749 2022/08/03 14:57:23 - mmengine - INFO - Epoch(train) [162][1400/1879] lr: 1.0000e-04 eta: 14:00:27 time: 0.2851 data_time: 0.0289 memory: 8198 grad_norm: 6.8673 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9872 loss: 0.9872 2022/08/03 14:57:29 - mmengine - INFO - Epoch(train) [162][1420/1879] lr: 1.0000e-04 eta: 14:00:22 time: 0.2874 data_time: 0.0217 memory: 8198 grad_norm: 6.7699 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8443 loss: 0.8443 2022/08/03 14:57:35 - mmengine - INFO - Epoch(train) [162][1440/1879] lr: 1.0000e-04 eta: 14:00:16 time: 0.2865 data_time: 0.0280 memory: 8198 grad_norm: 6.8357 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0438 loss: 1.0438 2022/08/03 14:57:40 - mmengine - INFO - Epoch(train) [162][1460/1879] lr: 1.0000e-04 eta: 14:00:10 time: 0.2902 data_time: 0.0276 memory: 8198 grad_norm: 6.8540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9320 loss: 0.9320 2022/08/03 14:57:46 - mmengine - INFO - Epoch(train) [162][1480/1879] lr: 1.0000e-04 eta: 14:00:05 time: 0.2870 data_time: 0.0237 memory: 8198 grad_norm: 7.0055 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0819 loss: 1.0819 2022/08/03 14:57:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:57:52 - mmengine - INFO - Epoch(train) [162][1500/1879] lr: 1.0000e-04 eta: 13:59:59 time: 0.2937 data_time: 0.0295 memory: 8198 grad_norm: 7.1169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9794 loss: 0.9794 2022/08/03 14:57:58 - mmengine - INFO - Epoch(train) [162][1520/1879] lr: 1.0000e-04 eta: 13:59:54 time: 0.2928 data_time: 0.0259 memory: 8198 grad_norm: 6.8959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/08/03 14:58:04 - mmengine - INFO - Epoch(train) [162][1540/1879] lr: 1.0000e-04 eta: 13:59:48 time: 0.2863 data_time: 0.0198 memory: 8198 grad_norm: 6.8560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0795 loss: 1.0795 2022/08/03 14:58:09 - mmengine - INFO - Epoch(train) [162][1560/1879] lr: 1.0000e-04 eta: 13:59:42 time: 0.2861 data_time: 0.0225 memory: 8198 grad_norm: 6.6609 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9569 loss: 0.9569 2022/08/03 14:58:15 - mmengine - INFO - Epoch(train) [162][1580/1879] lr: 1.0000e-04 eta: 13:59:37 time: 0.2900 data_time: 0.0217 memory: 8198 grad_norm: 7.1380 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0593 loss: 1.0593 2022/08/03 14:58:21 - mmengine - INFO - Epoch(train) [162][1600/1879] lr: 1.0000e-04 eta: 13:59:31 time: 0.2851 data_time: 0.0240 memory: 8198 grad_norm: 6.9238 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0673 loss: 1.0673 2022/08/03 14:58:27 - mmengine - INFO - Epoch(train) [162][1620/1879] lr: 1.0000e-04 eta: 13:59:25 time: 0.2860 data_time: 0.0239 memory: 8198 grad_norm: 6.9240 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/08/03 14:58:32 - mmengine - INFO - Epoch(train) [162][1640/1879] lr: 1.0000e-04 eta: 13:59:20 time: 0.2851 data_time: 0.0223 memory: 8198 grad_norm: 6.8090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9154 loss: 0.9154 2022/08/03 14:58:38 - mmengine - INFO - Epoch(train) [162][1660/1879] lr: 1.0000e-04 eta: 13:59:14 time: 0.2917 data_time: 0.0231 memory: 8198 grad_norm: 6.7225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/08/03 14:58:44 - mmengine - INFO - Epoch(train) [162][1680/1879] lr: 1.0000e-04 eta: 13:59:08 time: 0.2860 data_time: 0.0216 memory: 8198 grad_norm: 6.8862 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0735 loss: 1.0735 2022/08/03 14:58:50 - mmengine - INFO - Epoch(train) [162][1700/1879] lr: 1.0000e-04 eta: 13:59:03 time: 0.2908 data_time: 0.0203 memory: 8198 grad_norm: 6.9008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/08/03 14:58:56 - mmengine - INFO - Epoch(train) [162][1720/1879] lr: 1.0000e-04 eta: 13:58:57 time: 0.2877 data_time: 0.0263 memory: 8198 grad_norm: 7.0285 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/03 14:59:01 - mmengine - INFO - Epoch(train) [162][1740/1879] lr: 1.0000e-04 eta: 13:58:51 time: 0.2912 data_time: 0.0292 memory: 8198 grad_norm: 6.8284 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1187 loss: 1.1187 2022/08/03 14:59:07 - mmengine - INFO - Epoch(train) [162][1760/1879] lr: 1.0000e-04 eta: 13:58:46 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 6.7065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9066 loss: 0.9066 2022/08/03 14:59:13 - mmengine - INFO - Epoch(train) [162][1780/1879] lr: 1.0000e-04 eta: 13:58:40 time: 0.2824 data_time: 0.0203 memory: 8198 grad_norm: 7.0353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9567 loss: 0.9567 2022/08/03 14:59:19 - mmengine - INFO - Epoch(train) [162][1800/1879] lr: 1.0000e-04 eta: 13:58:35 time: 0.3144 data_time: 0.0229 memory: 8198 grad_norm: 6.9229 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0216 loss: 1.0216 2022/08/03 14:59:25 - mmengine - INFO - Epoch(train) [162][1820/1879] lr: 1.0000e-04 eta: 13:58:29 time: 0.2837 data_time: 0.0214 memory: 8198 grad_norm: 7.0236 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8284 loss: 0.8284 2022/08/03 14:59:31 - mmengine - INFO - Epoch(train) [162][1840/1879] lr: 1.0000e-04 eta: 13:58:23 time: 0.2865 data_time: 0.0225 memory: 8198 grad_norm: 6.9608 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9321 loss: 0.9321 2022/08/03 14:59:37 - mmengine - INFO - Epoch(train) [162][1860/1879] lr: 1.0000e-04 eta: 13:58:18 time: 0.3057 data_time: 0.0299 memory: 8198 grad_norm: 7.0896 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1217 loss: 1.1217 2022/08/03 14:59:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 14:59:42 - mmengine - INFO - Epoch(train) [162][1879/1879] lr: 1.0000e-04 eta: 13:58:18 time: 0.2559 data_time: 0.0120 memory: 8198 grad_norm: 6.8221 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9897 loss: 0.9897 2022/08/03 14:59:50 - mmengine - INFO - Epoch(train) [163][20/1879] lr: 1.0000e-04 eta: 13:58:05 time: 0.3958 data_time: 0.1004 memory: 8198 grad_norm: 6.9249 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9375 loss: 0.9375 2022/08/03 14:59:56 - mmengine - INFO - Epoch(train) [163][40/1879] lr: 1.0000e-04 eta: 13:58:00 time: 0.3188 data_time: 0.0241 memory: 8198 grad_norm: 6.9516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0316 loss: 1.0316 2022/08/03 15:00:02 - mmengine - INFO - Epoch(train) [163][60/1879] lr: 1.0000e-04 eta: 13:57:54 time: 0.2831 data_time: 0.0237 memory: 8198 grad_norm: 7.0192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8751 loss: 0.8751 2022/08/03 15:00:07 - mmengine - INFO - Epoch(train) [163][80/1879] lr: 1.0000e-04 eta: 13:57:48 time: 0.2845 data_time: 0.0231 memory: 8198 grad_norm: 6.9459 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9265 loss: 0.9265 2022/08/03 15:00:13 - mmengine - INFO - Epoch(train) [163][100/1879] lr: 1.0000e-04 eta: 13:57:42 time: 0.2838 data_time: 0.0227 memory: 8198 grad_norm: 6.6025 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9895 loss: 0.9895 2022/08/03 15:00:19 - mmengine - INFO - Epoch(train) [163][120/1879] lr: 1.0000e-04 eta: 13:57:37 time: 0.2900 data_time: 0.0244 memory: 8198 grad_norm: 7.0267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8237 loss: 0.8237 2022/08/03 15:00:25 - mmengine - INFO - Epoch(train) [163][140/1879] lr: 1.0000e-04 eta: 13:57:31 time: 0.2852 data_time: 0.0248 memory: 8198 grad_norm: 6.9380 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8907 loss: 0.8907 2022/08/03 15:00:30 - mmengine - INFO - Epoch(train) [163][160/1879] lr: 1.0000e-04 eta: 13:57:25 time: 0.2846 data_time: 0.0186 memory: 8198 grad_norm: 7.0320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/08/03 15:00:36 - mmengine - INFO - Epoch(train) [163][180/1879] lr: 1.0000e-04 eta: 13:57:20 time: 0.2875 data_time: 0.0275 memory: 8198 grad_norm: 6.6164 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9038 loss: 0.9038 2022/08/03 15:00:42 - mmengine - INFO - Epoch(train) [163][200/1879] lr: 1.0000e-04 eta: 13:57:14 time: 0.2822 data_time: 0.0242 memory: 8198 grad_norm: 6.8631 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1082 loss: 1.1082 2022/08/03 15:00:48 - mmengine - INFO - Epoch(train) [163][220/1879] lr: 1.0000e-04 eta: 13:57:08 time: 0.2869 data_time: 0.0213 memory: 8198 grad_norm: 6.9332 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/08/03 15:00:53 - mmengine - INFO - Epoch(train) [163][240/1879] lr: 1.0000e-04 eta: 13:57:03 time: 0.2850 data_time: 0.0203 memory: 8198 grad_norm: 6.9464 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0468 loss: 1.0468 2022/08/03 15:01:00 - mmengine - INFO - Epoch(train) [163][260/1879] lr: 1.0000e-04 eta: 13:56:57 time: 0.3125 data_time: 0.0238 memory: 8198 grad_norm: 6.8739 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0146 loss: 1.0146 2022/08/03 15:01:05 - mmengine - INFO - Epoch(train) [163][280/1879] lr: 1.0000e-04 eta: 13:56:52 time: 0.2808 data_time: 0.0186 memory: 8198 grad_norm: 6.7996 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/08/03 15:01:11 - mmengine - INFO - Epoch(train) [163][300/1879] lr: 1.0000e-04 eta: 13:56:46 time: 0.2922 data_time: 0.0294 memory: 8198 grad_norm: 6.6732 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1571 loss: 1.1571 2022/08/03 15:01:17 - mmengine - INFO - Epoch(train) [163][320/1879] lr: 1.0000e-04 eta: 13:56:40 time: 0.3056 data_time: 0.0203 memory: 8198 grad_norm: 6.8567 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8074 loss: 0.8074 2022/08/03 15:01:23 - mmengine - INFO - Epoch(train) [163][340/1879] lr: 1.0000e-04 eta: 13:56:35 time: 0.2824 data_time: 0.0247 memory: 8198 grad_norm: 6.9031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/08/03 15:01:29 - mmengine - INFO - Epoch(train) [163][360/1879] lr: 1.0000e-04 eta: 13:56:29 time: 0.2862 data_time: 0.0204 memory: 8198 grad_norm: 6.9382 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9618 loss: 0.9618 2022/08/03 15:01:34 - mmengine - INFO - Epoch(train) [163][380/1879] lr: 1.0000e-04 eta: 13:56:23 time: 0.2864 data_time: 0.0220 memory: 8198 grad_norm: 6.9984 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0761 loss: 1.0761 2022/08/03 15:01:40 - mmengine - INFO - Epoch(train) [163][400/1879] lr: 1.0000e-04 eta: 13:56:18 time: 0.2961 data_time: 0.0197 memory: 8198 grad_norm: 6.9730 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/08/03 15:01:46 - mmengine - INFO - Epoch(train) [163][420/1879] lr: 1.0000e-04 eta: 13:56:12 time: 0.2842 data_time: 0.0219 memory: 8198 grad_norm: 6.9224 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0429 loss: 1.0429 2022/08/03 15:01:52 - mmengine - INFO - Epoch(train) [163][440/1879] lr: 1.0000e-04 eta: 13:56:06 time: 0.2842 data_time: 0.0229 memory: 8198 grad_norm: 6.9671 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0261 loss: 1.0261 2022/08/03 15:01:57 - mmengine - INFO - Epoch(train) [163][460/1879] lr: 1.0000e-04 eta: 13:56:01 time: 0.2873 data_time: 0.0212 memory: 8198 grad_norm: 6.9619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0913 loss: 1.0913 2022/08/03 15:02:03 - mmengine - INFO - Epoch(train) [163][480/1879] lr: 1.0000e-04 eta: 13:55:55 time: 0.2829 data_time: 0.0228 memory: 8198 grad_norm: 7.0365 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9298 loss: 0.9298 2022/08/03 15:02:09 - mmengine - INFO - Epoch(train) [163][500/1879] lr: 1.0000e-04 eta: 13:55:49 time: 0.2848 data_time: 0.0240 memory: 8198 grad_norm: 6.9115 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8972 loss: 0.8972 2022/08/03 15:02:15 - mmengine - INFO - Epoch(train) [163][520/1879] lr: 1.0000e-04 eta: 13:55:44 time: 0.2842 data_time: 0.0206 memory: 8198 grad_norm: 7.0796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9472 loss: 0.9472 2022/08/03 15:02:20 - mmengine - INFO - Epoch(train) [163][540/1879] lr: 1.0000e-04 eta: 13:55:38 time: 0.2889 data_time: 0.0204 memory: 8198 grad_norm: 6.8751 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/03 15:02:26 - mmengine - INFO - Epoch(train) [163][560/1879] lr: 1.0000e-04 eta: 13:55:32 time: 0.2847 data_time: 0.0223 memory: 8198 grad_norm: 6.8577 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0971 loss: 1.0971 2022/08/03 15:02:32 - mmengine - INFO - Epoch(train) [163][580/1879] lr: 1.0000e-04 eta: 13:55:27 time: 0.2850 data_time: 0.0225 memory: 8198 grad_norm: 7.0731 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1806 loss: 1.1806 2022/08/03 15:02:38 - mmengine - INFO - Epoch(train) [163][600/1879] lr: 1.0000e-04 eta: 13:55:21 time: 0.2858 data_time: 0.0203 memory: 8198 grad_norm: 7.0877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1621 loss: 1.1621 2022/08/03 15:02:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:02:43 - mmengine - INFO - Epoch(train) [163][620/1879] lr: 1.0000e-04 eta: 13:55:15 time: 0.2849 data_time: 0.0252 memory: 8198 grad_norm: 6.9696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/08/03 15:02:49 - mmengine - INFO - Epoch(train) [163][640/1879] lr: 1.0000e-04 eta: 13:55:10 time: 0.2840 data_time: 0.0214 memory: 8198 grad_norm: 7.2850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1319 loss: 1.1319 2022/08/03 15:02:55 - mmengine - INFO - Epoch(train) [163][660/1879] lr: 1.0000e-04 eta: 13:55:04 time: 0.2836 data_time: 0.0236 memory: 8198 grad_norm: 6.8818 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0678 loss: 1.0678 2022/08/03 15:03:01 - mmengine - INFO - Epoch(train) [163][680/1879] lr: 1.0000e-04 eta: 13:54:58 time: 0.2905 data_time: 0.0199 memory: 8198 grad_norm: 7.2041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0348 loss: 1.0348 2022/08/03 15:03:06 - mmengine - INFO - Epoch(train) [163][700/1879] lr: 1.0000e-04 eta: 13:54:52 time: 0.2814 data_time: 0.0216 memory: 8198 grad_norm: 6.9056 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9967 loss: 0.9967 2022/08/03 15:03:12 - mmengine - INFO - Epoch(train) [163][720/1879] lr: 1.0000e-04 eta: 13:54:47 time: 0.2852 data_time: 0.0263 memory: 8198 grad_norm: 7.0806 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0645 loss: 1.0645 2022/08/03 15:03:18 - mmengine - INFO - Epoch(train) [163][740/1879] lr: 1.0000e-04 eta: 13:54:41 time: 0.3047 data_time: 0.0211 memory: 8198 grad_norm: 6.7748 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9588 loss: 0.9588 2022/08/03 15:03:24 - mmengine - INFO - Epoch(train) [163][760/1879] lr: 1.0000e-04 eta: 13:54:36 time: 0.2828 data_time: 0.0222 memory: 8198 grad_norm: 6.9599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/03 15:03:29 - mmengine - INFO - Epoch(train) [163][780/1879] lr: 1.0000e-04 eta: 13:54:30 time: 0.2820 data_time: 0.0206 memory: 8198 grad_norm: 6.7902 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1358 loss: 1.1358 2022/08/03 15:03:38 - mmengine - INFO - Epoch(train) [163][800/1879] lr: 1.0000e-04 eta: 13:54:26 time: 0.4299 data_time: 0.1703 memory: 8198 grad_norm: 6.8046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9362 loss: 0.9362 2022/08/03 15:03:44 - mmengine - INFO - Epoch(train) [163][820/1879] lr: 1.0000e-04 eta: 13:54:20 time: 0.2838 data_time: 0.0195 memory: 8198 grad_norm: 6.9939 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9008 loss: 0.9008 2022/08/03 15:03:49 - mmengine - INFO - Epoch(train) [163][840/1879] lr: 1.0000e-04 eta: 13:54:14 time: 0.2844 data_time: 0.0193 memory: 8198 grad_norm: 6.8999 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0431 loss: 1.0431 2022/08/03 15:03:55 - mmengine - INFO - Epoch(train) [163][860/1879] lr: 1.0000e-04 eta: 13:54:09 time: 0.2833 data_time: 0.0203 memory: 8198 grad_norm: 6.8654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0147 loss: 1.0147 2022/08/03 15:04:01 - mmengine - INFO - Epoch(train) [163][880/1879] lr: 1.0000e-04 eta: 13:54:03 time: 0.2916 data_time: 0.0221 memory: 8198 grad_norm: 6.9140 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2692 loss: 1.2692 2022/08/03 15:04:07 - mmengine - INFO - Epoch(train) [163][900/1879] lr: 1.0000e-04 eta: 13:53:57 time: 0.2863 data_time: 0.0230 memory: 8198 grad_norm: 7.0394 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9305 loss: 0.9305 2022/08/03 15:04:12 - mmengine - INFO - Epoch(train) [163][920/1879] lr: 1.0000e-04 eta: 13:53:52 time: 0.2821 data_time: 0.0189 memory: 8198 grad_norm: 6.7743 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0384 loss: 1.0384 2022/08/03 15:04:18 - mmengine - INFO - Epoch(train) [163][940/1879] lr: 1.0000e-04 eta: 13:53:46 time: 0.2867 data_time: 0.0233 memory: 8198 grad_norm: 6.9319 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0424 loss: 1.0424 2022/08/03 15:04:24 - mmengine - INFO - Epoch(train) [163][960/1879] lr: 1.0000e-04 eta: 13:53:40 time: 0.2815 data_time: 0.0183 memory: 8198 grad_norm: 7.0413 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/08/03 15:04:30 - mmengine - INFO - Epoch(train) [163][980/1879] lr: 1.0000e-04 eta: 13:53:35 time: 0.2864 data_time: 0.0234 memory: 8198 grad_norm: 7.0899 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0334 loss: 1.0334 2022/08/03 15:04:35 - mmengine - INFO - Epoch(train) [163][1000/1879] lr: 1.0000e-04 eta: 13:53:29 time: 0.2836 data_time: 0.0222 memory: 8198 grad_norm: 7.1134 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9875 loss: 0.9875 2022/08/03 15:04:41 - mmengine - INFO - Epoch(train) [163][1020/1879] lr: 1.0000e-04 eta: 13:53:23 time: 0.2898 data_time: 0.0244 memory: 8198 grad_norm: 6.9464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1534 loss: 1.1534 2022/08/03 15:04:47 - mmengine - INFO - Epoch(train) [163][1040/1879] lr: 1.0000e-04 eta: 13:53:18 time: 0.2888 data_time: 0.0251 memory: 8198 grad_norm: 6.9122 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9096 loss: 0.9096 2022/08/03 15:04:53 - mmengine - INFO - Epoch(train) [163][1060/1879] lr: 1.0000e-04 eta: 13:53:12 time: 0.2846 data_time: 0.0261 memory: 8198 grad_norm: 6.8364 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9386 loss: 0.9386 2022/08/03 15:04:59 - mmengine - INFO - Epoch(train) [163][1080/1879] lr: 1.0000e-04 eta: 13:53:06 time: 0.3036 data_time: 0.0195 memory: 8198 grad_norm: 6.8692 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0641 loss: 1.0641 2022/08/03 15:05:04 - mmengine - INFO - Epoch(train) [163][1100/1879] lr: 1.0000e-04 eta: 13:53:01 time: 0.2818 data_time: 0.0239 memory: 8198 grad_norm: 6.7066 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9859 loss: 0.9859 2022/08/03 15:05:10 - mmengine - INFO - Epoch(train) [163][1120/1879] lr: 1.0000e-04 eta: 13:52:55 time: 0.2917 data_time: 0.0294 memory: 8198 grad_norm: 6.6935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0692 loss: 1.0692 2022/08/03 15:05:16 - mmengine - INFO - Epoch(train) [163][1140/1879] lr: 1.0000e-04 eta: 13:52:49 time: 0.2878 data_time: 0.0243 memory: 8198 grad_norm: 7.0321 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/03 15:05:22 - mmengine - INFO - Epoch(train) [163][1160/1879] lr: 1.0000e-04 eta: 13:52:44 time: 0.2877 data_time: 0.0235 memory: 8198 grad_norm: 7.1137 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0510 loss: 1.0510 2022/08/03 15:05:27 - mmengine - INFO - Epoch(train) [163][1180/1879] lr: 1.0000e-04 eta: 13:52:38 time: 0.2868 data_time: 0.0255 memory: 8198 grad_norm: 6.9514 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/03 15:05:33 - mmengine - INFO - Epoch(train) [163][1200/1879] lr: 1.0000e-04 eta: 13:52:32 time: 0.2838 data_time: 0.0207 memory: 8198 grad_norm: 6.9133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8913 loss: 0.8913 2022/08/03 15:05:39 - mmengine - INFO - Epoch(train) [163][1220/1879] lr: 1.0000e-04 eta: 13:52:27 time: 0.3025 data_time: 0.0216 memory: 8198 grad_norm: 6.9006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9126 loss: 0.9126 2022/08/03 15:05:45 - mmengine - INFO - Epoch(train) [163][1240/1879] lr: 1.0000e-04 eta: 13:52:21 time: 0.2821 data_time: 0.0192 memory: 8198 grad_norm: 6.9593 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0931 loss: 1.0931 2022/08/03 15:05:51 - mmengine - INFO - Epoch(train) [163][1260/1879] lr: 1.0000e-04 eta: 13:52:16 time: 0.2857 data_time: 0.0214 memory: 8198 grad_norm: 7.0515 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9301 loss: 0.9301 2022/08/03 15:05:56 - mmengine - INFO - Epoch(train) [163][1280/1879] lr: 1.0000e-04 eta: 13:52:10 time: 0.2904 data_time: 0.0247 memory: 8198 grad_norm: 7.0039 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/08/03 15:06:02 - mmengine - INFO - Epoch(train) [163][1300/1879] lr: 1.0000e-04 eta: 13:52:04 time: 0.2843 data_time: 0.0210 memory: 8198 grad_norm: 6.9149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0582 loss: 1.0582 2022/08/03 15:06:08 - mmengine - INFO - Epoch(train) [163][1320/1879] lr: 1.0000e-04 eta: 13:51:58 time: 0.2851 data_time: 0.0205 memory: 8198 grad_norm: 7.0989 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0957 loss: 1.0957 2022/08/03 15:06:14 - mmengine - INFO - Epoch(train) [163][1340/1879] lr: 1.0000e-04 eta: 13:51:53 time: 0.2889 data_time: 0.0225 memory: 8198 grad_norm: 6.7527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2071 loss: 1.2071 2022/08/03 15:06:20 - mmengine - INFO - Epoch(train) [163][1360/1879] lr: 1.0000e-04 eta: 13:51:47 time: 0.2933 data_time: 0.0224 memory: 8198 grad_norm: 6.9161 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1780 loss: 1.1780 2022/08/03 15:06:25 - mmengine - INFO - Epoch(train) [163][1380/1879] lr: 1.0000e-04 eta: 13:51:42 time: 0.2914 data_time: 0.0191 memory: 8198 grad_norm: 7.0193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/03 15:06:31 - mmengine - INFO - Epoch(train) [163][1400/1879] lr: 1.0000e-04 eta: 13:51:36 time: 0.2851 data_time: 0.0205 memory: 8198 grad_norm: 6.9280 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/03 15:06:37 - mmengine - INFO - Epoch(train) [163][1420/1879] lr: 1.0000e-04 eta: 13:51:30 time: 0.2949 data_time: 0.0242 memory: 8198 grad_norm: 6.7462 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9725 loss: 0.9725 2022/08/03 15:06:43 - mmengine - INFO - Epoch(train) [163][1440/1879] lr: 1.0000e-04 eta: 13:51:25 time: 0.2831 data_time: 0.0222 memory: 8198 grad_norm: 6.7946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9598 loss: 0.9598 2022/08/03 15:06:48 - mmengine - INFO - Epoch(train) [163][1460/1879] lr: 1.0000e-04 eta: 13:51:19 time: 0.2854 data_time: 0.0233 memory: 8198 grad_norm: 6.9521 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9886 loss: 0.9886 2022/08/03 15:06:54 - mmengine - INFO - Epoch(train) [163][1480/1879] lr: 1.0000e-04 eta: 13:51:13 time: 0.2849 data_time: 0.0273 memory: 8198 grad_norm: 6.7342 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1659 loss: 1.1659 2022/08/03 15:07:00 - mmengine - INFO - Epoch(train) [163][1500/1879] lr: 1.0000e-04 eta: 13:51:08 time: 0.2847 data_time: 0.0185 memory: 8198 grad_norm: 7.0727 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9605 loss: 0.9605 2022/08/03 15:07:06 - mmengine - INFO - Epoch(train) [163][1520/1879] lr: 1.0000e-04 eta: 13:51:02 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 7.0341 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/08/03 15:07:11 - mmengine - INFO - Epoch(train) [163][1540/1879] lr: 1.0000e-04 eta: 13:50:56 time: 0.2880 data_time: 0.0270 memory: 8198 grad_norm: 6.8807 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0085 loss: 1.0085 2022/08/03 15:07:17 - mmengine - INFO - Epoch(train) [163][1560/1879] lr: 1.0000e-04 eta: 13:50:51 time: 0.2937 data_time: 0.0202 memory: 8198 grad_norm: 6.9314 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0116 loss: 1.0116 2022/08/03 15:07:23 - mmengine - INFO - Epoch(train) [163][1580/1879] lr: 1.0000e-04 eta: 13:50:45 time: 0.2821 data_time: 0.0226 memory: 8198 grad_norm: 6.7499 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9517 loss: 0.9517 2022/08/03 15:07:29 - mmengine - INFO - Epoch(train) [163][1600/1879] lr: 1.0000e-04 eta: 13:50:39 time: 0.2845 data_time: 0.0222 memory: 8198 grad_norm: 7.2587 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/08/03 15:07:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:07:34 - mmengine - INFO - Epoch(train) [163][1620/1879] lr: 1.0000e-04 eta: 13:50:34 time: 0.2851 data_time: 0.0188 memory: 8198 grad_norm: 7.1049 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9893 loss: 0.9893 2022/08/03 15:07:40 - mmengine - INFO - Epoch(train) [163][1640/1879] lr: 1.0000e-04 eta: 13:50:28 time: 0.2941 data_time: 0.0209 memory: 8198 grad_norm: 6.9644 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8704 loss: 0.8704 2022/08/03 15:07:46 - mmengine - INFO - Epoch(train) [163][1660/1879] lr: 1.0000e-04 eta: 13:50:22 time: 0.2876 data_time: 0.0224 memory: 8198 grad_norm: 6.7503 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/08/03 15:07:52 - mmengine - INFO - Epoch(train) [163][1680/1879] lr: 1.0000e-04 eta: 13:50:17 time: 0.2957 data_time: 0.0212 memory: 8198 grad_norm: 6.6887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/08/03 15:07:58 - mmengine - INFO - Epoch(train) [163][1700/1879] lr: 1.0000e-04 eta: 13:50:11 time: 0.2905 data_time: 0.0216 memory: 8198 grad_norm: 6.8815 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/08/03 15:08:04 - mmengine - INFO - Epoch(train) [163][1720/1879] lr: 1.0000e-04 eta: 13:50:05 time: 0.2848 data_time: 0.0224 memory: 8198 grad_norm: 7.2266 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1563 loss: 1.1563 2022/08/03 15:08:09 - mmengine - INFO - Epoch(train) [163][1740/1879] lr: 1.0000e-04 eta: 13:50:00 time: 0.2900 data_time: 0.0245 memory: 8198 grad_norm: 7.0009 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8687 loss: 0.8687 2022/08/03 15:08:15 - mmengine - INFO - Epoch(train) [163][1760/1879] lr: 1.0000e-04 eta: 13:49:54 time: 0.2830 data_time: 0.0233 memory: 8198 grad_norm: 6.7737 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0006 loss: 1.0006 2022/08/03 15:08:21 - mmengine - INFO - Epoch(train) [163][1780/1879] lr: 1.0000e-04 eta: 13:49:49 time: 0.3076 data_time: 0.0367 memory: 8198 grad_norm: 6.8657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9698 loss: 0.9698 2022/08/03 15:08:27 - mmengine - INFO - Epoch(train) [163][1800/1879] lr: 1.0000e-04 eta: 13:49:43 time: 0.2836 data_time: 0.0220 memory: 8198 grad_norm: 7.1718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/08/03 15:08:33 - mmengine - INFO - Epoch(train) [163][1820/1879] lr: 1.0000e-04 eta: 13:49:37 time: 0.2855 data_time: 0.0211 memory: 8198 grad_norm: 6.6707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9834 loss: 0.9834 2022/08/03 15:08:38 - mmengine - INFO - Epoch(train) [163][1840/1879] lr: 1.0000e-04 eta: 13:49:31 time: 0.2830 data_time: 0.0226 memory: 8198 grad_norm: 6.8002 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0997 loss: 1.0997 2022/08/03 15:08:44 - mmengine - INFO - Epoch(train) [163][1860/1879] lr: 1.0000e-04 eta: 13:49:26 time: 0.2852 data_time: 0.0215 memory: 8198 grad_norm: 6.8810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9197 loss: 0.9197 2022/08/03 15:08:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:08:49 - mmengine - INFO - Epoch(train) [163][1879/1879] lr: 1.0000e-04 eta: 13:49:26 time: 0.2594 data_time: 0.0175 memory: 8198 grad_norm: 6.8417 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0425 loss: 1.0425 2022/08/03 15:08:58 - mmengine - INFO - Epoch(train) [164][20/1879] lr: 1.0000e-04 eta: 13:49:13 time: 0.4253 data_time: 0.1185 memory: 8198 grad_norm: 6.9350 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0906 loss: 1.0906 2022/08/03 15:09:03 - mmengine - INFO - Epoch(train) [164][40/1879] lr: 1.0000e-04 eta: 13:49:08 time: 0.2865 data_time: 0.0178 memory: 8198 grad_norm: 6.7347 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1265 loss: 1.1265 2022/08/03 15:09:09 - mmengine - INFO - Epoch(train) [164][60/1879] lr: 1.0000e-04 eta: 13:49:02 time: 0.2891 data_time: 0.0229 memory: 8198 grad_norm: 6.9845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0399 loss: 1.0399 2022/08/03 15:09:15 - mmengine - INFO - Epoch(train) [164][80/1879] lr: 1.0000e-04 eta: 13:48:56 time: 0.2838 data_time: 0.0206 memory: 8198 grad_norm: 7.4158 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1392 loss: 1.1392 2022/08/03 15:09:21 - mmengine - INFO - Epoch(train) [164][100/1879] lr: 1.0000e-04 eta: 13:48:50 time: 0.2857 data_time: 0.0201 memory: 8198 grad_norm: 6.9510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0634 loss: 1.0634 2022/08/03 15:09:27 - mmengine - INFO - Epoch(train) [164][120/1879] lr: 1.0000e-04 eta: 13:48:45 time: 0.2934 data_time: 0.0215 memory: 8198 grad_norm: 7.0829 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/03 15:09:32 - mmengine - INFO - Epoch(train) [164][140/1879] lr: 1.0000e-04 eta: 13:48:39 time: 0.2845 data_time: 0.0206 memory: 8198 grad_norm: 7.0118 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8391 loss: 0.8391 2022/08/03 15:09:38 - mmengine - INFO - Epoch(train) [164][160/1879] lr: 1.0000e-04 eta: 13:48:33 time: 0.2843 data_time: 0.0195 memory: 8198 grad_norm: 6.8645 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9441 loss: 0.9441 2022/08/03 15:09:44 - mmengine - INFO - Epoch(train) [164][180/1879] lr: 1.0000e-04 eta: 13:48:28 time: 0.2831 data_time: 0.0217 memory: 8198 grad_norm: 6.9245 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0608 loss: 1.0608 2022/08/03 15:09:50 - mmengine - INFO - Epoch(train) [164][200/1879] lr: 1.0000e-04 eta: 13:48:22 time: 0.2988 data_time: 0.0211 memory: 8198 grad_norm: 6.9478 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9883 loss: 0.9883 2022/08/03 15:09:55 - mmengine - INFO - Epoch(train) [164][220/1879] lr: 1.0000e-04 eta: 13:48:17 time: 0.2823 data_time: 0.0231 memory: 8198 grad_norm: 6.9522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9206 loss: 0.9206 2022/08/03 15:10:01 - mmengine - INFO - Epoch(train) [164][240/1879] lr: 1.0000e-04 eta: 13:48:11 time: 0.2869 data_time: 0.0233 memory: 8198 grad_norm: 7.0547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0621 loss: 1.0621 2022/08/03 15:10:07 - mmengine - INFO - Epoch(train) [164][260/1879] lr: 1.0000e-04 eta: 13:48:05 time: 0.2958 data_time: 0.0259 memory: 8198 grad_norm: 7.0295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0291 loss: 1.0291 2022/08/03 15:10:13 - mmengine - INFO - Epoch(train) [164][280/1879] lr: 1.0000e-04 eta: 13:48:00 time: 0.2825 data_time: 0.0219 memory: 8198 grad_norm: 6.5934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7212 loss: 0.7212 2022/08/03 15:10:19 - mmengine - INFO - Epoch(train) [164][300/1879] lr: 1.0000e-04 eta: 13:47:54 time: 0.2904 data_time: 0.0299 memory: 8198 grad_norm: 6.9865 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/08/03 15:10:24 - mmengine - INFO - Epoch(train) [164][320/1879] lr: 1.0000e-04 eta: 13:47:48 time: 0.2811 data_time: 0.0173 memory: 8198 grad_norm: 7.0503 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0044 loss: 1.0044 2022/08/03 15:10:30 - mmengine - INFO - Epoch(train) [164][340/1879] lr: 1.0000e-04 eta: 13:47:43 time: 0.3128 data_time: 0.0227 memory: 8198 grad_norm: 6.6316 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9669 loss: 0.9669 2022/08/03 15:10:36 - mmengine - INFO - Epoch(train) [164][360/1879] lr: 1.0000e-04 eta: 13:47:37 time: 0.2854 data_time: 0.0227 memory: 8198 grad_norm: 6.7123 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9763 loss: 0.9763 2022/08/03 15:10:42 - mmengine - INFO - Epoch(train) [164][380/1879] lr: 1.0000e-04 eta: 13:47:31 time: 0.2885 data_time: 0.0264 memory: 8198 grad_norm: 6.7988 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0647 loss: 1.0647 2022/08/03 15:10:48 - mmengine - INFO - Epoch(train) [164][400/1879] lr: 1.0000e-04 eta: 13:47:26 time: 0.2969 data_time: 0.0199 memory: 8198 grad_norm: 6.9254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8850 loss: 0.8850 2022/08/03 15:10:54 - mmengine - INFO - Epoch(train) [164][420/1879] lr: 1.0000e-04 eta: 13:47:20 time: 0.2822 data_time: 0.0211 memory: 8198 grad_norm: 6.7095 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8174 loss: 0.8174 2022/08/03 15:10:59 - mmengine - INFO - Epoch(train) [164][440/1879] lr: 1.0000e-04 eta: 13:47:15 time: 0.2866 data_time: 0.0218 memory: 8198 grad_norm: 7.1640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1229 loss: 1.1229 2022/08/03 15:11:05 - mmengine - INFO - Epoch(train) [164][460/1879] lr: 1.0000e-04 eta: 13:47:09 time: 0.2838 data_time: 0.0209 memory: 8198 grad_norm: 7.2587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/08/03 15:11:11 - mmengine - INFO - Epoch(train) [164][480/1879] lr: 1.0000e-04 eta: 13:47:03 time: 0.3071 data_time: 0.0247 memory: 8198 grad_norm: 6.7354 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8367 loss: 0.8367 2022/08/03 15:11:17 - mmengine - INFO - Epoch(train) [164][500/1879] lr: 1.0000e-04 eta: 13:46:58 time: 0.2860 data_time: 0.0272 memory: 8198 grad_norm: 6.9076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9605 loss: 0.9605 2022/08/03 15:11:23 - mmengine - INFO - Epoch(train) [164][520/1879] lr: 1.0000e-04 eta: 13:46:52 time: 0.2887 data_time: 0.0287 memory: 8198 grad_norm: 6.9862 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0764 loss: 1.0764 2022/08/03 15:11:29 - mmengine - INFO - Epoch(train) [164][540/1879] lr: 1.0000e-04 eta: 13:46:46 time: 0.2921 data_time: 0.0226 memory: 8198 grad_norm: 6.7836 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/08/03 15:11:34 - mmengine - INFO - Epoch(train) [164][560/1879] lr: 1.0000e-04 eta: 13:46:41 time: 0.2831 data_time: 0.0179 memory: 8198 grad_norm: 6.9286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/08/03 15:11:40 - mmengine - INFO - Epoch(train) [164][580/1879] lr: 1.0000e-04 eta: 13:46:35 time: 0.2850 data_time: 0.0228 memory: 8198 grad_norm: 7.1340 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9598 loss: 0.9598 2022/08/03 15:11:46 - mmengine - INFO - Epoch(train) [164][600/1879] lr: 1.0000e-04 eta: 13:46:29 time: 0.2844 data_time: 0.0210 memory: 8198 grad_norm: 6.8424 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0748 loss: 1.0748 2022/08/03 15:11:52 - mmengine - INFO - Epoch(train) [164][620/1879] lr: 1.0000e-04 eta: 13:46:24 time: 0.3174 data_time: 0.0206 memory: 8198 grad_norm: 7.1322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2759 loss: 1.2759 2022/08/03 15:11:58 - mmengine - INFO - Epoch(train) [164][640/1879] lr: 1.0000e-04 eta: 13:46:18 time: 0.2858 data_time: 0.0233 memory: 8198 grad_norm: 6.9202 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8524 loss: 0.8524 2022/08/03 15:12:04 - mmengine - INFO - Epoch(train) [164][660/1879] lr: 1.0000e-04 eta: 13:46:13 time: 0.2827 data_time: 0.0218 memory: 8198 grad_norm: 6.8657 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0650 loss: 1.0650 2022/08/03 15:12:10 - mmengine - INFO - Epoch(train) [164][680/1879] lr: 1.0000e-04 eta: 13:46:07 time: 0.3079 data_time: 0.0214 memory: 8198 grad_norm: 6.5974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8154 loss: 0.8154 2022/08/03 15:12:15 - mmengine - INFO - Epoch(train) [164][700/1879] lr: 1.0000e-04 eta: 13:46:01 time: 0.2827 data_time: 0.0230 memory: 8198 grad_norm: 7.0005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0004 loss: 1.0004 2022/08/03 15:12:21 - mmengine - INFO - Epoch(train) [164][720/1879] lr: 1.0000e-04 eta: 13:45:56 time: 0.2825 data_time: 0.0201 memory: 8198 grad_norm: 6.8810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9696 loss: 0.9696 2022/08/03 15:12:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:12:27 - mmengine - INFO - Epoch(train) [164][740/1879] lr: 1.0000e-04 eta: 13:45:50 time: 0.2908 data_time: 0.0260 memory: 8198 grad_norm: 6.9167 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0294 loss: 1.0294 2022/08/03 15:12:33 - mmengine - INFO - Epoch(train) [164][760/1879] lr: 1.0000e-04 eta: 13:45:44 time: 0.2847 data_time: 0.0258 memory: 8198 grad_norm: 7.0683 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1051 loss: 1.1051 2022/08/03 15:12:38 - mmengine - INFO - Epoch(train) [164][780/1879] lr: 1.0000e-04 eta: 13:45:39 time: 0.2843 data_time: 0.0249 memory: 8198 grad_norm: 7.1165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/08/03 15:12:44 - mmengine - INFO - Epoch(train) [164][800/1879] lr: 1.0000e-04 eta: 13:45:33 time: 0.2848 data_time: 0.0227 memory: 8198 grad_norm: 7.1089 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9569 loss: 0.9569 2022/08/03 15:12:50 - mmengine - INFO - Epoch(train) [164][820/1879] lr: 1.0000e-04 eta: 13:45:27 time: 0.2916 data_time: 0.0223 memory: 8198 grad_norm: 6.9174 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9766 loss: 0.9766 2022/08/03 15:12:56 - mmengine - INFO - Epoch(train) [164][840/1879] lr: 1.0000e-04 eta: 13:45:22 time: 0.2959 data_time: 0.0219 memory: 8198 grad_norm: 6.7275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0492 loss: 1.0492 2022/08/03 15:13:02 - mmengine - INFO - Epoch(train) [164][860/1879] lr: 1.0000e-04 eta: 13:45:16 time: 0.2865 data_time: 0.0213 memory: 8198 grad_norm: 7.0714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0981 loss: 1.0981 2022/08/03 15:13:07 - mmengine - INFO - Epoch(train) [164][880/1879] lr: 1.0000e-04 eta: 13:45:10 time: 0.2843 data_time: 0.0193 memory: 8198 grad_norm: 7.0196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/08/03 15:13:13 - mmengine - INFO - Epoch(train) [164][900/1879] lr: 1.0000e-04 eta: 13:45:05 time: 0.2855 data_time: 0.0240 memory: 8198 grad_norm: 6.9225 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9427 loss: 0.9427 2022/08/03 15:13:19 - mmengine - INFO - Epoch(train) [164][920/1879] lr: 1.0000e-04 eta: 13:44:59 time: 0.2848 data_time: 0.0218 memory: 8198 grad_norm: 6.8415 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/03 15:13:24 - mmengine - INFO - Epoch(train) [164][940/1879] lr: 1.0000e-04 eta: 13:44:53 time: 0.2852 data_time: 0.0224 memory: 8198 grad_norm: 6.9613 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9998 loss: 0.9998 2022/08/03 15:13:30 - mmengine - INFO - Epoch(train) [164][960/1879] lr: 1.0000e-04 eta: 13:44:48 time: 0.2968 data_time: 0.0210 memory: 8198 grad_norm: 6.8405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9564 loss: 0.9564 2022/08/03 15:13:36 - mmengine - INFO - Epoch(train) [164][980/1879] lr: 1.0000e-04 eta: 13:44:42 time: 0.2838 data_time: 0.0207 memory: 8198 grad_norm: 7.1120 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0583 loss: 1.0583 2022/08/03 15:13:42 - mmengine - INFO - Epoch(train) [164][1000/1879] lr: 1.0000e-04 eta: 13:44:37 time: 0.2996 data_time: 0.0233 memory: 8198 grad_norm: 7.1075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1455 loss: 1.1455 2022/08/03 15:13:48 - mmengine - INFO - Epoch(train) [164][1020/1879] lr: 1.0000e-04 eta: 13:44:31 time: 0.2836 data_time: 0.0227 memory: 8198 grad_norm: 6.8917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9617 loss: 0.9617 2022/08/03 15:13:54 - mmengine - INFO - Epoch(train) [164][1040/1879] lr: 1.0000e-04 eta: 13:44:25 time: 0.2876 data_time: 0.0221 memory: 8198 grad_norm: 7.0227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9173 loss: 0.9173 2022/08/03 15:14:00 - mmengine - INFO - Epoch(train) [164][1060/1879] lr: 1.0000e-04 eta: 13:44:20 time: 0.3080 data_time: 0.0219 memory: 8198 grad_norm: 7.0398 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9277 loss: 0.9277 2022/08/03 15:14:05 - mmengine - INFO - Epoch(train) [164][1080/1879] lr: 1.0000e-04 eta: 13:44:14 time: 0.2833 data_time: 0.0239 memory: 8198 grad_norm: 6.6321 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0108 loss: 1.0108 2022/08/03 15:14:11 - mmengine - INFO - Epoch(train) [164][1100/1879] lr: 1.0000e-04 eta: 13:44:08 time: 0.2833 data_time: 0.0210 memory: 8198 grad_norm: 7.0279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/08/03 15:14:17 - mmengine - INFO - Epoch(train) [164][1120/1879] lr: 1.0000e-04 eta: 13:44:03 time: 0.2924 data_time: 0.0194 memory: 8198 grad_norm: 7.0528 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9725 loss: 0.9725 2022/08/03 15:14:23 - mmengine - INFO - Epoch(train) [164][1140/1879] lr: 1.0000e-04 eta: 13:43:57 time: 0.2860 data_time: 0.0259 memory: 8198 grad_norm: 6.7400 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0736 loss: 1.0736 2022/08/03 15:14:29 - mmengine - INFO - Epoch(train) [164][1160/1879] lr: 1.0000e-04 eta: 13:43:51 time: 0.2874 data_time: 0.0153 memory: 8198 grad_norm: 7.0063 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1193 loss: 1.1193 2022/08/03 15:14:34 - mmengine - INFO - Epoch(train) [164][1180/1879] lr: 1.0000e-04 eta: 13:43:46 time: 0.2872 data_time: 0.0245 memory: 8198 grad_norm: 6.8033 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1147 loss: 1.1147 2022/08/03 15:14:40 - mmengine - INFO - Epoch(train) [164][1200/1879] lr: 1.0000e-04 eta: 13:43:40 time: 0.2930 data_time: 0.0198 memory: 8198 grad_norm: 7.0471 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/08/03 15:14:46 - mmengine - INFO - Epoch(train) [164][1220/1879] lr: 1.0000e-04 eta: 13:43:34 time: 0.2845 data_time: 0.0229 memory: 8198 grad_norm: 7.0575 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0163 loss: 1.0163 2022/08/03 15:14:52 - mmengine - INFO - Epoch(train) [164][1240/1879] lr: 1.0000e-04 eta: 13:43:29 time: 0.2856 data_time: 0.0218 memory: 8198 grad_norm: 7.1247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/03 15:14:57 - mmengine - INFO - Epoch(train) [164][1260/1879] lr: 1.0000e-04 eta: 13:43:23 time: 0.2885 data_time: 0.0228 memory: 8198 grad_norm: 6.9704 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9385 loss: 0.9385 2022/08/03 15:15:03 - mmengine - INFO - Epoch(train) [164][1280/1879] lr: 1.0000e-04 eta: 13:43:17 time: 0.2837 data_time: 0.0229 memory: 8198 grad_norm: 6.9729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/08/03 15:15:09 - mmengine - INFO - Epoch(train) [164][1300/1879] lr: 1.0000e-04 eta: 13:43:12 time: 0.2867 data_time: 0.0272 memory: 8198 grad_norm: 6.8964 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/08/03 15:15:15 - mmengine - INFO - Epoch(train) [164][1320/1879] lr: 1.0000e-04 eta: 13:43:06 time: 0.2839 data_time: 0.0224 memory: 8198 grad_norm: 6.9825 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9350 loss: 0.9350 2022/08/03 15:15:21 - mmengine - INFO - Epoch(train) [164][1340/1879] lr: 1.0000e-04 eta: 13:43:00 time: 0.3004 data_time: 0.0245 memory: 8198 grad_norm: 6.8521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9042 loss: 0.9042 2022/08/03 15:15:27 - mmengine - INFO - Epoch(train) [164][1360/1879] lr: 1.0000e-04 eta: 13:42:55 time: 0.2993 data_time: 0.0199 memory: 8198 grad_norm: 6.8442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8726 loss: 0.8726 2022/08/03 15:15:32 - mmengine - INFO - Epoch(train) [164][1380/1879] lr: 1.0000e-04 eta: 13:42:49 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 6.7854 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9607 loss: 0.9607 2022/08/03 15:15:38 - mmengine - INFO - Epoch(train) [164][1400/1879] lr: 1.0000e-04 eta: 13:42:44 time: 0.2881 data_time: 0.0187 memory: 8198 grad_norm: 6.9468 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0650 loss: 1.0650 2022/08/03 15:15:44 - mmengine - INFO - Epoch(train) [164][1420/1879] lr: 1.0000e-04 eta: 13:42:38 time: 0.2860 data_time: 0.0245 memory: 8198 grad_norm: 7.0033 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1484 loss: 1.1484 2022/08/03 15:15:50 - mmengine - INFO - Epoch(train) [164][1440/1879] lr: 1.0000e-04 eta: 13:42:32 time: 0.2890 data_time: 0.0207 memory: 8198 grad_norm: 6.7589 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0947 loss: 1.0947 2022/08/03 15:15:55 - mmengine - INFO - Epoch(train) [164][1460/1879] lr: 1.0000e-04 eta: 13:42:27 time: 0.2845 data_time: 0.0227 memory: 8198 grad_norm: 6.9294 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9564 loss: 0.9564 2022/08/03 15:16:01 - mmengine - INFO - Epoch(train) [164][1480/1879] lr: 1.0000e-04 eta: 13:42:21 time: 0.2950 data_time: 0.0255 memory: 8198 grad_norm: 7.0052 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9759 loss: 0.9759 2022/08/03 15:16:07 - mmengine - INFO - Epoch(train) [164][1500/1879] lr: 1.0000e-04 eta: 13:42:15 time: 0.2864 data_time: 0.0229 memory: 8198 grad_norm: 7.0283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0735 loss: 1.0735 2022/08/03 15:16:13 - mmengine - INFO - Epoch(train) [164][1520/1879] lr: 1.0000e-04 eta: 13:42:10 time: 0.2851 data_time: 0.0271 memory: 8198 grad_norm: 7.0792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0059 loss: 1.0059 2022/08/03 15:16:19 - mmengine - INFO - Epoch(train) [164][1540/1879] lr: 1.0000e-04 eta: 13:42:04 time: 0.2913 data_time: 0.0237 memory: 8198 grad_norm: 6.6868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9333 loss: 0.9333 2022/08/03 15:16:24 - mmengine - INFO - Epoch(train) [164][1560/1879] lr: 1.0000e-04 eta: 13:41:58 time: 0.2842 data_time: 0.0217 memory: 8198 grad_norm: 7.0617 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/08/03 15:16:30 - mmengine - INFO - Epoch(train) [164][1580/1879] lr: 1.0000e-04 eta: 13:41:53 time: 0.2863 data_time: 0.0273 memory: 8198 grad_norm: 7.0490 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9916 loss: 0.9916 2022/08/03 15:16:36 - mmengine - INFO - Epoch(train) [164][1600/1879] lr: 1.0000e-04 eta: 13:41:47 time: 0.2854 data_time: 0.0208 memory: 8198 grad_norm: 6.9639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9500 loss: 0.9500 2022/08/03 15:16:42 - mmengine - INFO - Epoch(train) [164][1620/1879] lr: 1.0000e-04 eta: 13:41:41 time: 0.2915 data_time: 0.0278 memory: 8198 grad_norm: 6.8322 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/08/03 15:16:47 - mmengine - INFO - Epoch(train) [164][1640/1879] lr: 1.0000e-04 eta: 13:41:36 time: 0.2858 data_time: 0.0161 memory: 8198 grad_norm: 6.9330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9307 loss: 0.9307 2022/08/03 15:16:53 - mmengine - INFO - Epoch(train) [164][1660/1879] lr: 1.0000e-04 eta: 13:41:30 time: 0.2853 data_time: 0.0211 memory: 8198 grad_norm: 6.8580 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9260 loss: 0.9260 2022/08/03 15:16:59 - mmengine - INFO - Epoch(train) [164][1680/1879] lr: 1.0000e-04 eta: 13:41:24 time: 0.2895 data_time: 0.0229 memory: 8198 grad_norm: 6.9184 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9962 loss: 0.9962 2022/08/03 15:17:05 - mmengine - INFO - Epoch(train) [164][1700/1879] lr: 1.0000e-04 eta: 13:41:19 time: 0.2856 data_time: 0.0268 memory: 8198 grad_norm: 6.9742 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0345 loss: 1.0345 2022/08/03 15:17:10 - mmengine - INFO - Epoch(train) [164][1720/1879] lr: 1.0000e-04 eta: 13:41:13 time: 0.2826 data_time: 0.0174 memory: 8198 grad_norm: 6.8994 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9780 loss: 0.9780 2022/08/03 15:17:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:17:16 - mmengine - INFO - Epoch(train) [164][1740/1879] lr: 1.0000e-04 eta: 13:41:07 time: 0.2873 data_time: 0.0242 memory: 8198 grad_norm: 7.0549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1584 loss: 1.1584 2022/08/03 15:17:22 - mmengine - INFO - Epoch(train) [164][1760/1879] lr: 1.0000e-04 eta: 13:41:02 time: 0.2894 data_time: 0.0227 memory: 8198 grad_norm: 7.0149 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/08/03 15:17:28 - mmengine - INFO - Epoch(train) [164][1780/1879] lr: 1.0000e-04 eta: 13:40:56 time: 0.2865 data_time: 0.0224 memory: 8198 grad_norm: 6.7523 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9842 loss: 0.9842 2022/08/03 15:17:33 - mmengine - INFO - Epoch(train) [164][1800/1879] lr: 1.0000e-04 eta: 13:40:50 time: 0.2857 data_time: 0.0195 memory: 8198 grad_norm: 7.0471 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/08/03 15:17:40 - mmengine - INFO - Epoch(train) [164][1820/1879] lr: 1.0000e-04 eta: 13:40:45 time: 0.3089 data_time: 0.0211 memory: 8198 grad_norm: 6.8693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8391 loss: 0.8391 2022/08/03 15:17:45 - mmengine - INFO - Epoch(train) [164][1840/1879] lr: 1.0000e-04 eta: 13:40:39 time: 0.2830 data_time: 0.0216 memory: 8198 grad_norm: 6.6990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0302 loss: 1.0302 2022/08/03 15:17:51 - mmengine - INFO - Epoch(train) [164][1860/1879] lr: 1.0000e-04 eta: 13:40:33 time: 0.2899 data_time: 0.0275 memory: 8198 grad_norm: 6.8661 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8615 loss: 0.8615 2022/08/03 15:17:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:17:56 - mmengine - INFO - Epoch(train) [164][1879/1879] lr: 1.0000e-04 eta: 13:40:33 time: 0.2569 data_time: 0.0144 memory: 8198 grad_norm: 7.0799 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3033 loss: 1.3033 2022/08/03 15:17:56 - mmengine - INFO - Saving checkpoint at 164 epochs 2022/08/03 15:18:06 - mmengine - INFO - Epoch(train) [165][20/1879] lr: 1.0000e-04 eta: 13:40:20 time: 0.3758 data_time: 0.1121 memory: 8198 grad_norm: 7.1023 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9614 loss: 0.9614 2022/08/03 15:18:12 - mmengine - INFO - Epoch(train) [165][40/1879] lr: 1.0000e-04 eta: 13:40:15 time: 0.2945 data_time: 0.0240 memory: 8198 grad_norm: 6.8627 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9524 loss: 0.9524 2022/08/03 15:18:18 - mmengine - INFO - Epoch(train) [165][60/1879] lr: 1.0000e-04 eta: 13:40:09 time: 0.3039 data_time: 0.0245 memory: 8198 grad_norm: 7.0503 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8625 loss: 0.8625 2022/08/03 15:18:24 - mmengine - INFO - Epoch(train) [165][80/1879] lr: 1.0000e-04 eta: 13:40:04 time: 0.2829 data_time: 0.0194 memory: 8198 grad_norm: 6.9240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9798 loss: 0.9798 2022/08/03 15:18:29 - mmengine - INFO - Epoch(train) [165][100/1879] lr: 1.0000e-04 eta: 13:39:58 time: 0.2874 data_time: 0.0260 memory: 8198 grad_norm: 6.7641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/08/03 15:18:35 - mmengine - INFO - Epoch(train) [165][120/1879] lr: 1.0000e-04 eta: 13:39:52 time: 0.2830 data_time: 0.0217 memory: 8198 grad_norm: 6.7351 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9388 loss: 0.9388 2022/08/03 15:18:41 - mmengine - INFO - Epoch(train) [165][140/1879] lr: 1.0000e-04 eta: 13:39:46 time: 0.2856 data_time: 0.0234 memory: 8198 grad_norm: 7.0235 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9056 loss: 0.9056 2022/08/03 15:18:46 - mmengine - INFO - Epoch(train) [165][160/1879] lr: 1.0000e-04 eta: 13:39:41 time: 0.2840 data_time: 0.0241 memory: 8198 grad_norm: 7.0843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9582 loss: 0.9582 2022/08/03 15:18:52 - mmengine - INFO - Epoch(train) [165][180/1879] lr: 1.0000e-04 eta: 13:39:35 time: 0.2924 data_time: 0.0280 memory: 8198 grad_norm: 6.9497 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0216 loss: 1.0216 2022/08/03 15:18:58 - mmengine - INFO - Epoch(train) [165][200/1879] lr: 1.0000e-04 eta: 13:39:30 time: 0.2895 data_time: 0.0247 memory: 8198 grad_norm: 7.1316 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9610 loss: 0.9610 2022/08/03 15:19:04 - mmengine - INFO - Epoch(train) [165][220/1879] lr: 1.0000e-04 eta: 13:39:24 time: 0.2837 data_time: 0.0231 memory: 8198 grad_norm: 7.0481 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0255 loss: 1.0255 2022/08/03 15:19:10 - mmengine - INFO - Epoch(train) [165][240/1879] lr: 1.0000e-04 eta: 13:39:18 time: 0.3026 data_time: 0.0205 memory: 8198 grad_norm: 6.8321 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1680 loss: 1.1680 2022/08/03 15:19:16 - mmengine - INFO - Epoch(train) [165][260/1879] lr: 1.0000e-04 eta: 13:39:13 time: 0.2853 data_time: 0.0224 memory: 8198 grad_norm: 6.9387 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8989 loss: 0.8989 2022/08/03 15:19:21 - mmengine - INFO - Epoch(train) [165][280/1879] lr: 1.0000e-04 eta: 13:39:07 time: 0.2903 data_time: 0.0255 memory: 8198 grad_norm: 7.0412 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0186 loss: 1.0186 2022/08/03 15:19:27 - mmengine - INFO - Epoch(train) [165][300/1879] lr: 1.0000e-04 eta: 13:39:01 time: 0.2809 data_time: 0.0200 memory: 8198 grad_norm: 6.5956 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8864 loss: 0.8864 2022/08/03 15:19:33 - mmengine - INFO - Epoch(train) [165][320/1879] lr: 1.0000e-04 eta: 13:38:56 time: 0.2830 data_time: 0.0222 memory: 8198 grad_norm: 7.1346 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9541 loss: 0.9541 2022/08/03 15:19:39 - mmengine - INFO - Epoch(train) [165][340/1879] lr: 1.0000e-04 eta: 13:38:50 time: 0.3006 data_time: 0.0195 memory: 8198 grad_norm: 6.9420 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9416 loss: 0.9416 2022/08/03 15:19:45 - mmengine - INFO - Epoch(train) [165][360/1879] lr: 1.0000e-04 eta: 13:38:44 time: 0.2823 data_time: 0.0199 memory: 8198 grad_norm: 6.8957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8315 loss: 0.8315 2022/08/03 15:19:50 - mmengine - INFO - Epoch(train) [165][380/1879] lr: 1.0000e-04 eta: 13:38:39 time: 0.2884 data_time: 0.0244 memory: 8198 grad_norm: 6.8781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9790 loss: 0.9790 2022/08/03 15:19:56 - mmengine - INFO - Epoch(train) [165][400/1879] lr: 1.0000e-04 eta: 13:38:33 time: 0.2839 data_time: 0.0229 memory: 8198 grad_norm: 6.8112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9688 loss: 0.9688 2022/08/03 15:20:02 - mmengine - INFO - Epoch(train) [165][420/1879] lr: 1.0000e-04 eta: 13:38:27 time: 0.2866 data_time: 0.0207 memory: 8198 grad_norm: 6.9703 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8371 loss: 0.8371 2022/08/03 15:20:08 - mmengine - INFO - Epoch(train) [165][440/1879] lr: 1.0000e-04 eta: 13:38:22 time: 0.2919 data_time: 0.0223 memory: 8198 grad_norm: 6.9511 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8094 loss: 0.8094 2022/08/03 15:20:13 - mmengine - INFO - Epoch(train) [165][460/1879] lr: 1.0000e-04 eta: 13:38:16 time: 0.2883 data_time: 0.0246 memory: 8198 grad_norm: 6.7271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0322 loss: 1.0322 2022/08/03 15:20:20 - mmengine - INFO - Epoch(train) [165][480/1879] lr: 1.0000e-04 eta: 13:38:11 time: 0.3086 data_time: 0.0220 memory: 8198 grad_norm: 6.8788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9483 loss: 0.9483 2022/08/03 15:20:26 - mmengine - INFO - Epoch(train) [165][500/1879] lr: 1.0000e-04 eta: 13:38:05 time: 0.2964 data_time: 0.0201 memory: 8198 grad_norm: 6.8197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/08/03 15:20:31 - mmengine - INFO - Epoch(train) [165][520/1879] lr: 1.0000e-04 eta: 13:37:59 time: 0.2844 data_time: 0.0186 memory: 8198 grad_norm: 6.7470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8618 loss: 0.8618 2022/08/03 15:20:37 - mmengine - INFO - Epoch(train) [165][540/1879] lr: 1.0000e-04 eta: 13:37:54 time: 0.2884 data_time: 0.0273 memory: 8198 grad_norm: 6.8881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0017 loss: 1.0017 2022/08/03 15:20:43 - mmengine - INFO - Epoch(train) [165][560/1879] lr: 1.0000e-04 eta: 13:37:48 time: 0.2874 data_time: 0.0224 memory: 8198 grad_norm: 6.9940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/08/03 15:20:49 - mmengine - INFO - Epoch(train) [165][580/1879] lr: 1.0000e-04 eta: 13:37:42 time: 0.2859 data_time: 0.0191 memory: 8198 grad_norm: 7.2008 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1264 loss: 1.1264 2022/08/03 15:20:54 - mmengine - INFO - Epoch(train) [165][600/1879] lr: 1.0000e-04 eta: 13:37:37 time: 0.2941 data_time: 0.0180 memory: 8198 grad_norm: 7.0343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0517 loss: 1.0517 2022/08/03 15:21:00 - mmengine - INFO - Epoch(train) [165][620/1879] lr: 1.0000e-04 eta: 13:37:31 time: 0.2845 data_time: 0.0272 memory: 8198 grad_norm: 6.9161 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1104 loss: 1.1104 2022/08/03 15:21:06 - mmengine - INFO - Epoch(train) [165][640/1879] lr: 1.0000e-04 eta: 13:37:25 time: 0.2819 data_time: 0.0195 memory: 8198 grad_norm: 6.7167 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0595 loss: 1.0595 2022/08/03 15:21:12 - mmengine - INFO - Epoch(train) [165][660/1879] lr: 1.0000e-04 eta: 13:37:20 time: 0.2905 data_time: 0.0269 memory: 8198 grad_norm: 6.9462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1035 loss: 1.1035 2022/08/03 15:21:17 - mmengine - INFO - Epoch(train) [165][680/1879] lr: 1.0000e-04 eta: 13:37:14 time: 0.2845 data_time: 0.0230 memory: 8198 grad_norm: 7.0802 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9958 loss: 0.9958 2022/08/03 15:21:23 - mmengine - INFO - Epoch(train) [165][700/1879] lr: 1.0000e-04 eta: 13:37:08 time: 0.2880 data_time: 0.0288 memory: 8198 grad_norm: 6.8573 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0177 loss: 1.0177 2022/08/03 15:21:29 - mmengine - INFO - Epoch(train) [165][720/1879] lr: 1.0000e-04 eta: 13:37:03 time: 0.3012 data_time: 0.0246 memory: 8198 grad_norm: 7.1760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/08/03 15:21:35 - mmengine - INFO - Epoch(train) [165][740/1879] lr: 1.0000e-04 eta: 13:36:57 time: 0.2862 data_time: 0.0217 memory: 8198 grad_norm: 7.1501 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9063 loss: 0.9063 2022/08/03 15:21:41 - mmengine - INFO - Epoch(train) [165][760/1879] lr: 1.0000e-04 eta: 13:36:51 time: 0.2871 data_time: 0.0237 memory: 8198 grad_norm: 6.7804 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9174 loss: 0.9174 2022/08/03 15:21:47 - mmengine - INFO - Epoch(train) [165][780/1879] lr: 1.0000e-04 eta: 13:36:46 time: 0.2886 data_time: 0.0275 memory: 8198 grad_norm: 6.6675 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9701 loss: 0.9701 2022/08/03 15:21:52 - mmengine - INFO - Epoch(train) [165][800/1879] lr: 1.0000e-04 eta: 13:36:40 time: 0.2959 data_time: 0.0173 memory: 8198 grad_norm: 7.1023 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9336 loss: 0.9336 2022/08/03 15:21:58 - mmengine - INFO - Epoch(train) [165][820/1879] lr: 1.0000e-04 eta: 13:36:35 time: 0.2912 data_time: 0.0269 memory: 8198 grad_norm: 6.9695 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7656 loss: 0.7656 2022/08/03 15:22:04 - mmengine - INFO - Epoch(train) [165][840/1879] lr: 1.0000e-04 eta: 13:36:29 time: 0.2837 data_time: 0.0241 memory: 8198 grad_norm: 6.8683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9407 loss: 0.9407 2022/08/03 15:22:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:22:10 - mmengine - INFO - Epoch(train) [165][860/1879] lr: 1.0000e-04 eta: 13:36:23 time: 0.3071 data_time: 0.0250 memory: 8198 grad_norm: 7.0702 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1074 loss: 1.1074 2022/08/03 15:22:16 - mmengine - INFO - Epoch(train) [165][880/1879] lr: 1.0000e-04 eta: 13:36:18 time: 0.2827 data_time: 0.0201 memory: 8198 grad_norm: 6.8663 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0573 loss: 1.0573 2022/08/03 15:22:22 - mmengine - INFO - Epoch(train) [165][900/1879] lr: 1.0000e-04 eta: 13:36:12 time: 0.2831 data_time: 0.0192 memory: 8198 grad_norm: 6.7845 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7901 loss: 0.7901 2022/08/03 15:22:27 - mmengine - INFO - Epoch(train) [165][920/1879] lr: 1.0000e-04 eta: 13:36:06 time: 0.2893 data_time: 0.0218 memory: 8198 grad_norm: 6.9343 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9241 loss: 0.9241 2022/08/03 15:22:33 - mmengine - INFO - Epoch(train) [165][940/1879] lr: 1.0000e-04 eta: 13:36:01 time: 0.2840 data_time: 0.0239 memory: 8198 grad_norm: 7.0238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9880 loss: 0.9880 2022/08/03 15:22:39 - mmengine - INFO - Epoch(train) [165][960/1879] lr: 1.0000e-04 eta: 13:35:55 time: 0.2904 data_time: 0.0210 memory: 8198 grad_norm: 6.8935 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0412 loss: 1.0412 2022/08/03 15:22:45 - mmengine - INFO - Epoch(train) [165][980/1879] lr: 1.0000e-04 eta: 13:35:49 time: 0.2855 data_time: 0.0240 memory: 8198 grad_norm: 6.8302 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0676 loss: 1.0676 2022/08/03 15:22:50 - mmengine - INFO - Epoch(train) [165][1000/1879] lr: 1.0000e-04 eta: 13:35:44 time: 0.2914 data_time: 0.0235 memory: 8198 grad_norm: 7.0865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0734 loss: 1.0734 2022/08/03 15:22:56 - mmengine - INFO - Epoch(train) [165][1020/1879] lr: 1.0000e-04 eta: 13:35:38 time: 0.2893 data_time: 0.0236 memory: 8198 grad_norm: 6.8627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/08/03 15:23:02 - mmengine - INFO - Epoch(train) [165][1040/1879] lr: 1.0000e-04 eta: 13:35:32 time: 0.2889 data_time: 0.0249 memory: 8198 grad_norm: 6.9545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9493 loss: 0.9493 2022/08/03 15:23:08 - mmengine - INFO - Epoch(train) [165][1060/1879] lr: 1.0000e-04 eta: 13:35:27 time: 0.2880 data_time: 0.0235 memory: 8198 grad_norm: 6.8465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1706 loss: 1.1706 2022/08/03 15:23:14 - mmengine - INFO - Epoch(train) [165][1080/1879] lr: 1.0000e-04 eta: 13:35:21 time: 0.2936 data_time: 0.0249 memory: 8198 grad_norm: 7.0483 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/08/03 15:23:19 - mmengine - INFO - Epoch(train) [165][1100/1879] lr: 1.0000e-04 eta: 13:35:15 time: 0.2835 data_time: 0.0238 memory: 8198 grad_norm: 7.0175 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0040 loss: 1.0040 2022/08/03 15:23:25 - mmengine - INFO - Epoch(train) [165][1120/1879] lr: 1.0000e-04 eta: 13:35:10 time: 0.2853 data_time: 0.0221 memory: 8198 grad_norm: 6.6972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9571 loss: 0.9571 2022/08/03 15:23:31 - mmengine - INFO - Epoch(train) [165][1140/1879] lr: 1.0000e-04 eta: 13:35:04 time: 0.3080 data_time: 0.0262 memory: 8198 grad_norm: 6.7874 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9026 loss: 0.9026 2022/08/03 15:23:37 - mmengine - INFO - Epoch(train) [165][1160/1879] lr: 1.0000e-04 eta: 13:34:59 time: 0.2855 data_time: 0.0200 memory: 8198 grad_norm: 7.2064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/08/03 15:23:43 - mmengine - INFO - Epoch(train) [165][1180/1879] lr: 1.0000e-04 eta: 13:34:53 time: 0.2851 data_time: 0.0226 memory: 8198 grad_norm: 7.0263 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9958 loss: 0.9958 2022/08/03 15:23:49 - mmengine - INFO - Epoch(train) [165][1200/1879] lr: 1.0000e-04 eta: 13:34:47 time: 0.2980 data_time: 0.0259 memory: 8198 grad_norm: 6.9653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9689 loss: 0.9689 2022/08/03 15:23:54 - mmengine - INFO - Epoch(train) [165][1220/1879] lr: 1.0000e-04 eta: 13:34:42 time: 0.2826 data_time: 0.0204 memory: 8198 grad_norm: 6.5623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9004 loss: 0.9004 2022/08/03 15:24:00 - mmengine - INFO - Epoch(train) [165][1240/1879] lr: 1.0000e-04 eta: 13:34:36 time: 0.2847 data_time: 0.0192 memory: 8198 grad_norm: 6.8637 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/08/03 15:24:06 - mmengine - INFO - Epoch(train) [165][1260/1879] lr: 1.0000e-04 eta: 13:34:30 time: 0.2854 data_time: 0.0207 memory: 8198 grad_norm: 7.1947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0137 loss: 1.0137 2022/08/03 15:24:12 - mmengine - INFO - Epoch(train) [165][1280/1879] lr: 1.0000e-04 eta: 13:34:25 time: 0.2849 data_time: 0.0206 memory: 8198 grad_norm: 6.9722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9802 loss: 0.9802 2022/08/03 15:24:17 - mmengine - INFO - Epoch(train) [165][1300/1879] lr: 1.0000e-04 eta: 13:34:19 time: 0.2871 data_time: 0.0241 memory: 8198 grad_norm: 6.9229 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8513 loss: 0.8513 2022/08/03 15:24:23 - mmengine - INFO - Epoch(train) [165][1320/1879] lr: 1.0000e-04 eta: 13:34:13 time: 0.2839 data_time: 0.0213 memory: 8198 grad_norm: 6.9901 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0442 loss: 1.0442 2022/08/03 15:24:29 - mmengine - INFO - Epoch(train) [165][1340/1879] lr: 1.0000e-04 eta: 13:34:08 time: 0.2873 data_time: 0.0262 memory: 8198 grad_norm: 6.8880 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9113 loss: 0.9113 2022/08/03 15:24:35 - mmengine - INFO - Epoch(train) [165][1360/1879] lr: 1.0000e-04 eta: 13:34:02 time: 0.2833 data_time: 0.0246 memory: 8198 grad_norm: 7.2596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1833 loss: 1.1833 2022/08/03 15:24:40 - mmengine - INFO - Epoch(train) [165][1380/1879] lr: 1.0000e-04 eta: 13:33:56 time: 0.2831 data_time: 0.0196 memory: 8198 grad_norm: 6.9813 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9538 loss: 0.9538 2022/08/03 15:24:46 - mmengine - INFO - Epoch(train) [165][1400/1879] lr: 1.0000e-04 eta: 13:33:50 time: 0.2911 data_time: 0.0269 memory: 8198 grad_norm: 7.0807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9670 loss: 0.9670 2022/08/03 15:24:52 - mmengine - INFO - Epoch(train) [165][1420/1879] lr: 1.0000e-04 eta: 13:33:45 time: 0.3025 data_time: 0.0193 memory: 8198 grad_norm: 6.9204 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9962 loss: 0.9962 2022/08/03 15:24:58 - mmengine - INFO - Epoch(train) [165][1440/1879] lr: 1.0000e-04 eta: 13:33:39 time: 0.2859 data_time: 0.0192 memory: 8198 grad_norm: 6.8164 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9752 loss: 0.9752 2022/08/03 15:25:04 - mmengine - INFO - Epoch(train) [165][1460/1879] lr: 1.0000e-04 eta: 13:33:34 time: 0.2844 data_time: 0.0250 memory: 8198 grad_norm: 6.9394 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/08/03 15:25:10 - mmengine - INFO - Epoch(train) [165][1480/1879] lr: 1.0000e-04 eta: 13:33:28 time: 0.3049 data_time: 0.0231 memory: 8198 grad_norm: 7.0524 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1872 loss: 1.1872 2022/08/03 15:25:16 - mmengine - INFO - Epoch(train) [165][1500/1879] lr: 1.0000e-04 eta: 13:33:22 time: 0.2863 data_time: 0.0251 memory: 8198 grad_norm: 6.6827 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/08/03 15:25:21 - mmengine - INFO - Epoch(train) [165][1520/1879] lr: 1.0000e-04 eta: 13:33:17 time: 0.2856 data_time: 0.0234 memory: 8198 grad_norm: 6.9138 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9131 loss: 0.9131 2022/08/03 15:25:27 - mmengine - INFO - Epoch(train) [165][1540/1879] lr: 1.0000e-04 eta: 13:33:11 time: 0.2932 data_time: 0.0258 memory: 8198 grad_norm: 6.9342 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0500 loss: 1.0500 2022/08/03 15:25:33 - mmengine - INFO - Epoch(train) [165][1560/1879] lr: 1.0000e-04 eta: 13:33:05 time: 0.2838 data_time: 0.0234 memory: 8198 grad_norm: 7.0672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2204 loss: 1.2204 2022/08/03 15:25:39 - mmengine - INFO - Epoch(train) [165][1580/1879] lr: 1.0000e-04 eta: 13:33:00 time: 0.2899 data_time: 0.0206 memory: 8198 grad_norm: 6.8819 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9828 loss: 0.9828 2022/08/03 15:25:44 - mmengine - INFO - Epoch(train) [165][1600/1879] lr: 1.0000e-04 eta: 13:32:54 time: 0.2824 data_time: 0.0266 memory: 8198 grad_norm: 7.0586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9960 loss: 0.9960 2022/08/03 15:25:50 - mmengine - INFO - Epoch(train) [165][1620/1879] lr: 1.0000e-04 eta: 13:32:48 time: 0.2855 data_time: 0.0251 memory: 8198 grad_norm: 6.7569 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8863 loss: 0.8863 2022/08/03 15:25:56 - mmengine - INFO - Epoch(train) [165][1640/1879] lr: 1.0000e-04 eta: 13:32:43 time: 0.2852 data_time: 0.0258 memory: 8198 grad_norm: 7.0369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9503 loss: 0.9503 2022/08/03 15:26:02 - mmengine - INFO - Epoch(train) [165][1660/1879] lr: 1.0000e-04 eta: 13:32:37 time: 0.2886 data_time: 0.0208 memory: 8198 grad_norm: 7.1222 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0742 loss: 1.0742 2022/08/03 15:26:07 - mmengine - INFO - Epoch(train) [165][1680/1879] lr: 1.0000e-04 eta: 13:32:31 time: 0.2839 data_time: 0.0226 memory: 8198 grad_norm: 6.8780 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0367 loss: 1.0367 2022/08/03 15:26:13 - mmengine - INFO - Epoch(train) [165][1700/1879] lr: 1.0000e-04 eta: 13:32:26 time: 0.2872 data_time: 0.0249 memory: 8198 grad_norm: 6.7140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/08/03 15:26:19 - mmengine - INFO - Epoch(train) [165][1720/1879] lr: 1.0000e-04 eta: 13:32:20 time: 0.2880 data_time: 0.0228 memory: 8198 grad_norm: 7.0217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0305 loss: 1.0305 2022/08/03 15:26:25 - mmengine - INFO - Epoch(train) [165][1740/1879] lr: 1.0000e-04 eta: 13:32:14 time: 0.2839 data_time: 0.0218 memory: 8198 grad_norm: 6.9306 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/08/03 15:26:30 - mmengine - INFO - Epoch(train) [165][1760/1879] lr: 1.0000e-04 eta: 13:32:09 time: 0.2822 data_time: 0.0168 memory: 8198 grad_norm: 6.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/08/03 15:26:36 - mmengine - INFO - Epoch(train) [165][1780/1879] lr: 1.0000e-04 eta: 13:32:03 time: 0.3129 data_time: 0.0287 memory: 8198 grad_norm: 6.9613 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1298 loss: 1.1298 2022/08/03 15:26:42 - mmengine - INFO - Epoch(train) [165][1800/1879] lr: 1.0000e-04 eta: 13:31:58 time: 0.2898 data_time: 0.0254 memory: 8198 grad_norm: 6.9083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0947 loss: 1.0947 2022/08/03 15:26:48 - mmengine - INFO - Epoch(train) [165][1820/1879] lr: 1.0000e-04 eta: 13:31:52 time: 0.2947 data_time: 0.0218 memory: 8198 grad_norm: 7.1451 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/08/03 15:26:54 - mmengine - INFO - Epoch(train) [165][1840/1879] lr: 1.0000e-04 eta: 13:31:46 time: 0.2881 data_time: 0.0213 memory: 8198 grad_norm: 7.1226 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9353 loss: 0.9353 2022/08/03 15:26:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:27:00 - mmengine - INFO - Epoch(train) [165][1860/1879] lr: 1.0000e-04 eta: 13:31:41 time: 0.2854 data_time: 0.0226 memory: 8198 grad_norm: 6.9663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9096 loss: 0.9096 2022/08/03 15:27:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:27:05 - mmengine - INFO - Epoch(train) [165][1879/1879] lr: 1.0000e-04 eta: 13:31:41 time: 0.2616 data_time: 0.0216 memory: 8198 grad_norm: 7.1537 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.9734 loss: 0.9734 2022/08/03 15:27:12 - mmengine - INFO - Epoch(val) [165][20/155] eta: 0:00:46 time: 0.3457 data_time: 0.2551 memory: 1514 2022/08/03 15:27:16 - mmengine - INFO - Epoch(val) [165][40/155] eta: 0:00:25 time: 0.2246 data_time: 0.1351 memory: 1514 2022/08/03 15:27:22 - mmengine - INFO - Epoch(val) [165][60/155] eta: 0:00:28 time: 0.3014 data_time: 0.2095 memory: 1514 2022/08/03 15:27:27 - mmengine - INFO - Epoch(val) [165][80/155] eta: 0:00:17 time: 0.2316 data_time: 0.1430 memory: 1514 2022/08/03 15:27:33 - mmengine - INFO - Epoch(val) [165][100/155] eta: 0:00:17 time: 0.3107 data_time: 0.2225 memory: 1514 2022/08/03 15:27:37 - mmengine - INFO - Epoch(val) [165][120/155] eta: 0:00:07 time: 0.2204 data_time: 0.1324 memory: 1514 2022/08/03 15:27:44 - mmengine - INFO - Epoch(val) [165][140/155] eta: 0:00:04 time: 0.3315 data_time: 0.2425 memory: 1514 2022/08/03 15:27:49 - mmengine - INFO - Epoch(val) [165][155/155] acc/top1: 0.6791 acc/top5: 0.8677 acc/mean1: 0.6790 2022/08/03 15:27:57 - mmengine - INFO - Epoch(train) [166][20/1879] lr: 1.0000e-04 eta: 13:31:28 time: 0.4191 data_time: 0.1311 memory: 8198 grad_norm: 6.9629 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8011 loss: 0.8011 2022/08/03 15:28:03 - mmengine - INFO - Epoch(train) [166][40/1879] lr: 1.0000e-04 eta: 13:31:22 time: 0.2901 data_time: 0.0258 memory: 8198 grad_norm: 6.8323 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9477 loss: 0.9477 2022/08/03 15:28:09 - mmengine - INFO - Epoch(train) [166][60/1879] lr: 1.0000e-04 eta: 13:31:17 time: 0.3031 data_time: 0.0269 memory: 8198 grad_norm: 6.9301 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0457 loss: 1.0457 2022/08/03 15:28:15 - mmengine - INFO - Epoch(train) [166][80/1879] lr: 1.0000e-04 eta: 13:31:11 time: 0.2828 data_time: 0.0170 memory: 8198 grad_norm: 6.9146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9334 loss: 0.9334 2022/08/03 15:28:21 - mmengine - INFO - Epoch(train) [166][100/1879] lr: 1.0000e-04 eta: 13:31:06 time: 0.2899 data_time: 0.0313 memory: 8198 grad_norm: 7.0194 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9543 loss: 0.9543 2022/08/03 15:28:26 - mmengine - INFO - Epoch(train) [166][120/1879] lr: 1.0000e-04 eta: 13:31:00 time: 0.2853 data_time: 0.0222 memory: 8198 grad_norm: 6.6157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8934 loss: 0.8934 2022/08/03 15:28:32 - mmengine - INFO - Epoch(train) [166][140/1879] lr: 1.0000e-04 eta: 13:30:54 time: 0.3011 data_time: 0.0207 memory: 8198 grad_norm: 7.1276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9394 loss: 0.9394 2022/08/03 15:28:38 - mmengine - INFO - Epoch(train) [166][160/1879] lr: 1.0000e-04 eta: 13:30:49 time: 0.2871 data_time: 0.0248 memory: 8198 grad_norm: 6.9236 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.9231 loss: 0.9231 2022/08/03 15:28:44 - mmengine - INFO - Epoch(train) [166][180/1879] lr: 1.0000e-04 eta: 13:30:43 time: 0.2908 data_time: 0.0298 memory: 8198 grad_norm: 6.9615 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/08/03 15:28:50 - mmengine - INFO - Epoch(train) [166][200/1879] lr: 1.0000e-04 eta: 13:30:37 time: 0.3004 data_time: 0.0194 memory: 8198 grad_norm: 6.9216 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9029 loss: 0.9029 2022/08/03 15:28:56 - mmengine - INFO - Epoch(train) [166][220/1879] lr: 1.0000e-04 eta: 13:30:32 time: 0.2862 data_time: 0.0213 memory: 8198 grad_norm: 6.8426 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9366 loss: 0.9366 2022/08/03 15:29:02 - mmengine - INFO - Epoch(train) [166][240/1879] lr: 1.0000e-04 eta: 13:30:26 time: 0.3026 data_time: 0.0255 memory: 8198 grad_norm: 7.0765 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0105 loss: 1.0105 2022/08/03 15:29:08 - mmengine - INFO - Epoch(train) [166][260/1879] lr: 1.0000e-04 eta: 13:30:21 time: 0.2828 data_time: 0.0213 memory: 8198 grad_norm: 7.0335 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/03 15:29:13 - mmengine - INFO - Epoch(train) [166][280/1879] lr: 1.0000e-04 eta: 13:30:15 time: 0.2866 data_time: 0.0231 memory: 8198 grad_norm: 6.8556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/08/03 15:29:19 - mmengine - INFO - Epoch(train) [166][300/1879] lr: 1.0000e-04 eta: 13:30:09 time: 0.2834 data_time: 0.0217 memory: 8198 grad_norm: 7.0066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7929 loss: 0.7929 2022/08/03 15:29:25 - mmengine - INFO - Epoch(train) [166][320/1879] lr: 1.0000e-04 eta: 13:30:04 time: 0.2857 data_time: 0.0218 memory: 8198 grad_norm: 7.0272 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9795 loss: 0.9795 2022/08/03 15:29:31 - mmengine - INFO - Epoch(train) [166][340/1879] lr: 1.0000e-04 eta: 13:29:58 time: 0.2882 data_time: 0.0235 memory: 8198 grad_norm: 6.7435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9441 loss: 0.9441 2022/08/03 15:29:36 - mmengine - INFO - Epoch(train) [166][360/1879] lr: 1.0000e-04 eta: 13:29:52 time: 0.2827 data_time: 0.0258 memory: 8198 grad_norm: 6.9808 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9767 loss: 0.9767 2022/08/03 15:29:42 - mmengine - INFO - Epoch(train) [166][380/1879] lr: 1.0000e-04 eta: 13:29:46 time: 0.2855 data_time: 0.0249 memory: 8198 grad_norm: 6.9321 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/08/03 15:29:48 - mmengine - INFO - Epoch(train) [166][400/1879] lr: 1.0000e-04 eta: 13:29:41 time: 0.2851 data_time: 0.0240 memory: 8198 grad_norm: 7.0460 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8373 loss: 0.8373 2022/08/03 15:29:53 - mmengine - INFO - Epoch(train) [166][420/1879] lr: 1.0000e-04 eta: 13:29:35 time: 0.2897 data_time: 0.0213 memory: 8198 grad_norm: 6.8177 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0627 loss: 1.0627 2022/08/03 15:29:59 - mmengine - INFO - Epoch(train) [166][440/1879] lr: 1.0000e-04 eta: 13:29:29 time: 0.2872 data_time: 0.0211 memory: 8198 grad_norm: 6.9167 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/08/03 15:30:05 - mmengine - INFO - Epoch(train) [166][460/1879] lr: 1.0000e-04 eta: 13:29:24 time: 0.2861 data_time: 0.0249 memory: 8198 grad_norm: 6.9813 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/08/03 15:30:11 - mmengine - INFO - Epoch(train) [166][480/1879] lr: 1.0000e-04 eta: 13:29:18 time: 0.2859 data_time: 0.0202 memory: 8198 grad_norm: 6.9011 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8839 loss: 0.8839 2022/08/03 15:30:16 - mmengine - INFO - Epoch(train) [166][500/1879] lr: 1.0000e-04 eta: 13:29:12 time: 0.2820 data_time: 0.0216 memory: 8198 grad_norm: 7.0930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8399 loss: 0.8399 2022/08/03 15:30:23 - mmengine - INFO - Epoch(train) [166][520/1879] lr: 1.0000e-04 eta: 13:29:07 time: 0.3063 data_time: 0.0235 memory: 8198 grad_norm: 7.2148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1360 loss: 1.1360 2022/08/03 15:30:28 - mmengine - INFO - Epoch(train) [166][540/1879] lr: 1.0000e-04 eta: 13:29:01 time: 0.2867 data_time: 0.0237 memory: 8198 grad_norm: 6.7802 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/08/03 15:30:34 - mmengine - INFO - Epoch(train) [166][560/1879] lr: 1.0000e-04 eta: 13:28:56 time: 0.2858 data_time: 0.0242 memory: 8198 grad_norm: 6.9996 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0183 loss: 1.0183 2022/08/03 15:30:40 - mmengine - INFO - Epoch(train) [166][580/1879] lr: 1.0000e-04 eta: 13:28:50 time: 0.2913 data_time: 0.0218 memory: 8198 grad_norm: 6.8877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0467 loss: 1.0467 2022/08/03 15:30:46 - mmengine - INFO - Epoch(train) [166][600/1879] lr: 1.0000e-04 eta: 13:28:44 time: 0.2855 data_time: 0.0289 memory: 8198 grad_norm: 6.9583 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0338 loss: 1.0338 2022/08/03 15:30:51 - mmengine - INFO - Epoch(train) [166][620/1879] lr: 1.0000e-04 eta: 13:28:39 time: 0.2860 data_time: 0.0225 memory: 8198 grad_norm: 6.7325 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9983 loss: 0.9983 2022/08/03 15:30:57 - mmengine - INFO - Epoch(train) [166][640/1879] lr: 1.0000e-04 eta: 13:28:33 time: 0.2861 data_time: 0.0224 memory: 8198 grad_norm: 7.1197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9552 loss: 0.9552 2022/08/03 15:31:03 - mmengine - INFO - Epoch(train) [166][660/1879] lr: 1.0000e-04 eta: 13:28:27 time: 0.2959 data_time: 0.0262 memory: 8198 grad_norm: 6.8960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9348 loss: 0.9348 2022/08/03 15:31:09 - mmengine - INFO - Epoch(train) [166][680/1879] lr: 1.0000e-04 eta: 13:28:22 time: 0.2863 data_time: 0.0246 memory: 8198 grad_norm: 6.9827 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0393 loss: 1.0393 2022/08/03 15:31:15 - mmengine - INFO - Epoch(train) [166][700/1879] lr: 1.0000e-04 eta: 13:28:16 time: 0.2859 data_time: 0.0293 memory: 8198 grad_norm: 6.9385 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8610 loss: 0.8610 2022/08/03 15:31:20 - mmengine - INFO - Epoch(train) [166][720/1879] lr: 1.0000e-04 eta: 13:28:10 time: 0.2951 data_time: 0.0261 memory: 8198 grad_norm: 6.7539 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/08/03 15:31:26 - mmengine - INFO - Epoch(train) [166][740/1879] lr: 1.0000e-04 eta: 13:28:05 time: 0.2802 data_time: 0.0231 memory: 8198 grad_norm: 6.6458 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0731 loss: 1.0731 2022/08/03 15:31:32 - mmengine - INFO - Epoch(train) [166][760/1879] lr: 1.0000e-04 eta: 13:27:59 time: 0.2876 data_time: 0.0241 memory: 8198 grad_norm: 7.0122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/08/03 15:31:38 - mmengine - INFO - Epoch(train) [166][780/1879] lr: 1.0000e-04 eta: 13:27:53 time: 0.2870 data_time: 0.0263 memory: 8198 grad_norm: 7.1081 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0252 loss: 1.0252 2022/08/03 15:31:43 - mmengine - INFO - Epoch(train) [166][800/1879] lr: 1.0000e-04 eta: 13:27:48 time: 0.2865 data_time: 0.0245 memory: 8198 grad_norm: 6.4971 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8807 loss: 0.8807 2022/08/03 15:31:50 - mmengine - INFO - Epoch(train) [166][820/1879] lr: 1.0000e-04 eta: 13:27:42 time: 0.3038 data_time: 0.0205 memory: 8198 grad_norm: 6.9118 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9993 loss: 0.9993 2022/08/03 15:31:55 - mmengine - INFO - Epoch(train) [166][840/1879] lr: 1.0000e-04 eta: 13:27:36 time: 0.2843 data_time: 0.0230 memory: 8198 grad_norm: 6.8128 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8965 loss: 0.8965 2022/08/03 15:32:01 - mmengine - INFO - Epoch(train) [166][860/1879] lr: 1.0000e-04 eta: 13:27:31 time: 0.2885 data_time: 0.0228 memory: 8198 grad_norm: 6.9815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9205 loss: 0.9205 2022/08/03 15:32:07 - mmengine - INFO - Epoch(train) [166][880/1879] lr: 1.0000e-04 eta: 13:27:25 time: 0.2826 data_time: 0.0210 memory: 8198 grad_norm: 6.8943 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0561 loss: 1.0561 2022/08/03 15:32:13 - mmengine - INFO - Epoch(train) [166][900/1879] lr: 1.0000e-04 eta: 13:27:19 time: 0.2937 data_time: 0.0223 memory: 8198 grad_norm: 7.1249 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9086 loss: 0.9086 2022/08/03 15:32:18 - mmengine - INFO - Epoch(train) [166][920/1879] lr: 1.0000e-04 eta: 13:27:14 time: 0.2812 data_time: 0.0183 memory: 8198 grad_norm: 6.7926 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9725 loss: 0.9725 2022/08/03 15:32:24 - mmengine - INFO - Epoch(train) [166][940/1879] lr: 1.0000e-04 eta: 13:27:08 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 6.8234 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/08/03 15:32:30 - mmengine - INFO - Epoch(train) [166][960/1879] lr: 1.0000e-04 eta: 13:27:02 time: 0.2913 data_time: 0.0279 memory: 8198 grad_norm: 7.0950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9278 loss: 0.9278 2022/08/03 15:32:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:32:36 - mmengine - INFO - Epoch(train) [166][980/1879] lr: 1.0000e-04 eta: 13:26:57 time: 0.2866 data_time: 0.0227 memory: 8198 grad_norm: 7.0783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9799 loss: 0.9799 2022/08/03 15:32:41 - mmengine - INFO - Epoch(train) [166][1000/1879] lr: 1.0000e-04 eta: 13:26:51 time: 0.2848 data_time: 0.0182 memory: 8198 grad_norm: 6.7847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9220 loss: 0.9220 2022/08/03 15:32:47 - mmengine - INFO - Epoch(train) [166][1020/1879] lr: 1.0000e-04 eta: 13:26:45 time: 0.2855 data_time: 0.0260 memory: 8198 grad_norm: 7.1652 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0158 loss: 1.0158 2022/08/03 15:32:53 - mmengine - INFO - Epoch(train) [166][1040/1879] lr: 1.0000e-04 eta: 13:26:40 time: 0.2942 data_time: 0.0192 memory: 8198 grad_norm: 7.0716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/08/03 15:32:59 - mmengine - INFO - Epoch(train) [166][1060/1879] lr: 1.0000e-04 eta: 13:26:34 time: 0.2874 data_time: 0.0272 memory: 8198 grad_norm: 6.8312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/08/03 15:33:04 - mmengine - INFO - Epoch(train) [166][1080/1879] lr: 1.0000e-04 eta: 13:26:28 time: 0.2848 data_time: 0.0199 memory: 8198 grad_norm: 7.0916 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1451 loss: 1.1451 2022/08/03 15:33:11 - mmengine - INFO - Epoch(train) [166][1100/1879] lr: 1.0000e-04 eta: 13:26:23 time: 0.3110 data_time: 0.0219 memory: 8198 grad_norm: 7.0491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0542 loss: 1.0542 2022/08/03 15:33:16 - mmengine - INFO - Epoch(train) [166][1120/1879] lr: 1.0000e-04 eta: 13:26:17 time: 0.2912 data_time: 0.0288 memory: 8198 grad_norm: 7.1792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0896 loss: 1.0896 2022/08/03 15:33:22 - mmengine - INFO - Epoch(train) [166][1140/1879] lr: 1.0000e-04 eta: 13:26:12 time: 0.2830 data_time: 0.0216 memory: 8198 grad_norm: 6.9508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/08/03 15:33:28 - mmengine - INFO - Epoch(train) [166][1160/1879] lr: 1.0000e-04 eta: 13:26:06 time: 0.2914 data_time: 0.0291 memory: 8198 grad_norm: 7.2463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/08/03 15:33:34 - mmengine - INFO - Epoch(train) [166][1180/1879] lr: 1.0000e-04 eta: 13:26:00 time: 0.2853 data_time: 0.0223 memory: 8198 grad_norm: 7.0641 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0991 loss: 1.0991 2022/08/03 15:33:40 - mmengine - INFO - Epoch(train) [166][1200/1879] lr: 1.0000e-04 eta: 13:25:55 time: 0.2886 data_time: 0.0277 memory: 8198 grad_norm: 7.1078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/03 15:33:45 - mmengine - INFO - Epoch(train) [166][1220/1879] lr: 1.0000e-04 eta: 13:25:49 time: 0.2861 data_time: 0.0236 memory: 8198 grad_norm: 6.8554 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7578 loss: 0.7578 2022/08/03 15:33:52 - mmengine - INFO - Epoch(train) [166][1240/1879] lr: 1.0000e-04 eta: 13:25:44 time: 0.3233 data_time: 0.0212 memory: 8198 grad_norm: 7.1117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9229 loss: 0.9229 2022/08/03 15:33:58 - mmengine - INFO - Epoch(train) [166][1260/1879] lr: 1.0000e-04 eta: 13:25:38 time: 0.2956 data_time: 0.0217 memory: 8198 grad_norm: 6.9902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1379 loss: 1.1379 2022/08/03 15:34:03 - mmengine - INFO - Epoch(train) [166][1280/1879] lr: 1.0000e-04 eta: 13:25:32 time: 0.2815 data_time: 0.0203 memory: 8198 grad_norm: 7.0165 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8660 loss: 0.8660 2022/08/03 15:34:09 - mmengine - INFO - Epoch(train) [166][1300/1879] lr: 1.0000e-04 eta: 13:25:27 time: 0.3010 data_time: 0.0211 memory: 8198 grad_norm: 6.7336 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7569 loss: 0.7569 2022/08/03 15:34:15 - mmengine - INFO - Epoch(train) [166][1320/1879] lr: 1.0000e-04 eta: 13:25:21 time: 0.2795 data_time: 0.0208 memory: 8198 grad_norm: 6.9743 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9056 loss: 0.9056 2022/08/03 15:34:21 - mmengine - INFO - Epoch(train) [166][1340/1879] lr: 1.0000e-04 eta: 13:25:15 time: 0.2870 data_time: 0.0277 memory: 8198 grad_norm: 6.8005 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/08/03 15:34:26 - mmengine - INFO - Epoch(train) [166][1360/1879] lr: 1.0000e-04 eta: 13:25:10 time: 0.2833 data_time: 0.0258 memory: 8198 grad_norm: 7.0256 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8891 loss: 0.8891 2022/08/03 15:34:32 - mmengine - INFO - Epoch(train) [166][1380/1879] lr: 1.0000e-04 eta: 13:25:04 time: 0.2971 data_time: 0.0297 memory: 8198 grad_norm: 7.2089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/08/03 15:34:38 - mmengine - INFO - Epoch(train) [166][1400/1879] lr: 1.0000e-04 eta: 13:24:58 time: 0.2835 data_time: 0.0201 memory: 8198 grad_norm: 6.8140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9458 loss: 0.9458 2022/08/03 15:34:44 - mmengine - INFO - Epoch(train) [166][1420/1879] lr: 1.0000e-04 eta: 13:24:53 time: 0.2952 data_time: 0.0264 memory: 8198 grad_norm: 7.1794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9038 loss: 0.9038 2022/08/03 15:34:50 - mmengine - INFO - Epoch(train) [166][1440/1879] lr: 1.0000e-04 eta: 13:24:47 time: 0.2848 data_time: 0.0233 memory: 8198 grad_norm: 7.0249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0526 loss: 1.0526 2022/08/03 15:34:56 - mmengine - INFO - Epoch(train) [166][1460/1879] lr: 1.0000e-04 eta: 13:24:41 time: 0.2855 data_time: 0.0245 memory: 8198 grad_norm: 7.0281 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 0.9806 loss: 0.9806 2022/08/03 15:35:01 - mmengine - INFO - Epoch(train) [166][1480/1879] lr: 1.0000e-04 eta: 13:24:36 time: 0.2972 data_time: 0.0252 memory: 8198 grad_norm: 6.9749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/08/03 15:35:07 - mmengine - INFO - Epoch(train) [166][1500/1879] lr: 1.0000e-04 eta: 13:24:30 time: 0.2827 data_time: 0.0203 memory: 8198 grad_norm: 7.1768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0713 loss: 1.0713 2022/08/03 15:35:13 - mmengine - INFO - Epoch(train) [166][1520/1879] lr: 1.0000e-04 eta: 13:24:25 time: 0.2896 data_time: 0.0224 memory: 8198 grad_norm: 7.0058 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9514 loss: 0.9514 2022/08/03 15:35:19 - mmengine - INFO - Epoch(train) [166][1540/1879] lr: 1.0000e-04 eta: 13:24:19 time: 0.2863 data_time: 0.0243 memory: 8198 grad_norm: 7.1108 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9534 loss: 0.9534 2022/08/03 15:35:24 - mmengine - INFO - Epoch(train) [166][1560/1879] lr: 1.0000e-04 eta: 13:24:13 time: 0.2830 data_time: 0.0232 memory: 8198 grad_norm: 6.8541 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0067 loss: 1.0067 2022/08/03 15:35:30 - mmengine - INFO - Epoch(train) [166][1580/1879] lr: 1.0000e-04 eta: 13:24:07 time: 0.2869 data_time: 0.0237 memory: 8198 grad_norm: 6.9313 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1308 loss: 1.1308 2022/08/03 15:35:36 - mmengine - INFO - Epoch(train) [166][1600/1879] lr: 1.0000e-04 eta: 13:24:02 time: 0.2834 data_time: 0.0212 memory: 8198 grad_norm: 6.8322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8020 loss: 0.8020 2022/08/03 15:35:42 - mmengine - INFO - Epoch(train) [166][1620/1879] lr: 1.0000e-04 eta: 13:23:56 time: 0.2941 data_time: 0.0243 memory: 8198 grad_norm: 6.9650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8575 loss: 0.8575 2022/08/03 15:35:47 - mmengine - INFO - Epoch(train) [166][1640/1879] lr: 1.0000e-04 eta: 13:23:50 time: 0.2820 data_time: 0.0198 memory: 8198 grad_norm: 6.7788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/08/03 15:35:53 - mmengine - INFO - Epoch(train) [166][1660/1879] lr: 1.0000e-04 eta: 13:23:45 time: 0.2824 data_time: 0.0236 memory: 8198 grad_norm: 7.0285 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1290 loss: 1.1290 2022/08/03 15:35:59 - mmengine - INFO - Epoch(train) [166][1680/1879] lr: 1.0000e-04 eta: 13:23:39 time: 0.2958 data_time: 0.0229 memory: 8198 grad_norm: 7.2020 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1638 loss: 1.1638 2022/08/03 15:36:05 - mmengine - INFO - Epoch(train) [166][1700/1879] lr: 1.0000e-04 eta: 13:23:33 time: 0.2850 data_time: 0.0215 memory: 8198 grad_norm: 6.7900 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9300 loss: 0.9300 2022/08/03 15:36:10 - mmengine - INFO - Epoch(train) [166][1720/1879] lr: 1.0000e-04 eta: 13:23:28 time: 0.2832 data_time: 0.0194 memory: 8198 grad_norm: 6.9930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/08/03 15:36:16 - mmengine - INFO - Epoch(train) [166][1740/1879] lr: 1.0000e-04 eta: 13:23:22 time: 0.2878 data_time: 0.0249 memory: 8198 grad_norm: 7.0536 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0098 loss: 1.0098 2022/08/03 15:36:22 - mmengine - INFO - Epoch(train) [166][1760/1879] lr: 1.0000e-04 eta: 13:23:17 time: 0.2985 data_time: 0.0176 memory: 8198 grad_norm: 6.9112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/08/03 15:36:28 - mmengine - INFO - Epoch(train) [166][1780/1879] lr: 1.0000e-04 eta: 13:23:11 time: 0.2823 data_time: 0.0197 memory: 8198 grad_norm: 7.1267 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9531 loss: 0.9531 2022/08/03 15:36:34 - mmengine - INFO - Epoch(train) [166][1800/1879] lr: 1.0000e-04 eta: 13:23:05 time: 0.2850 data_time: 0.0206 memory: 8198 grad_norm: 7.0703 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0711 loss: 1.0711 2022/08/03 15:36:40 - mmengine - INFO - Epoch(train) [166][1820/1879] lr: 1.0000e-04 eta: 13:23:00 time: 0.2953 data_time: 0.0332 memory: 8198 grad_norm: 6.9334 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8426 loss: 0.8426 2022/08/03 15:36:45 - mmengine - INFO - Epoch(train) [166][1840/1879] lr: 1.0000e-04 eta: 13:22:54 time: 0.2833 data_time: 0.0215 memory: 8198 grad_norm: 6.9887 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1022 loss: 1.1022 2022/08/03 15:36:51 - mmengine - INFO - Epoch(train) [166][1860/1879] lr: 1.0000e-04 eta: 13:22:48 time: 0.2851 data_time: 0.0221 memory: 8198 grad_norm: 6.8762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/08/03 15:36:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:36:56 - mmengine - INFO - Epoch(train) [166][1879/1879] lr: 1.0000e-04 eta: 13:22:48 time: 0.2582 data_time: 0.0142 memory: 8198 grad_norm: 7.1613 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1503 loss: 1.1503 2022/08/03 15:37:04 - mmengine - INFO - Epoch(train) [167][20/1879] lr: 1.0000e-04 eta: 13:22:35 time: 0.4085 data_time: 0.0887 memory: 8198 grad_norm: 6.9982 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0298 loss: 1.0298 2022/08/03 15:37:10 - mmengine - INFO - Epoch(train) [167][40/1879] lr: 1.0000e-04 eta: 13:22:30 time: 0.2949 data_time: 0.0201 memory: 8198 grad_norm: 6.7149 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8619 loss: 0.8619 2022/08/03 15:37:16 - mmengine - INFO - Epoch(train) [167][60/1879] lr: 1.0000e-04 eta: 13:22:24 time: 0.2923 data_time: 0.0269 memory: 8198 grad_norm: 6.7197 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7919 loss: 0.7919 2022/08/03 15:37:22 - mmengine - INFO - Epoch(train) [167][80/1879] lr: 1.0000e-04 eta: 13:22:19 time: 0.2855 data_time: 0.0191 memory: 8198 grad_norm: 6.8062 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9041 loss: 0.9041 2022/08/03 15:37:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:37:28 - mmengine - INFO - Epoch(train) [167][100/1879] lr: 1.0000e-04 eta: 13:22:13 time: 0.2896 data_time: 0.0237 memory: 8198 grad_norm: 6.8404 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9582 loss: 0.9582 2022/08/03 15:37:33 - mmengine - INFO - Epoch(train) [167][120/1879] lr: 1.0000e-04 eta: 13:22:07 time: 0.2862 data_time: 0.0175 memory: 8198 grad_norm: 6.9121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9820 loss: 0.9820 2022/08/03 15:37:39 - mmengine - INFO - Epoch(train) [167][140/1879] lr: 1.0000e-04 eta: 13:22:02 time: 0.2893 data_time: 0.0228 memory: 8198 grad_norm: 6.8461 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0687 loss: 1.0687 2022/08/03 15:37:45 - mmengine - INFO - Epoch(train) [167][160/1879] lr: 1.0000e-04 eta: 13:21:56 time: 0.2847 data_time: 0.0201 memory: 8198 grad_norm: 7.0500 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0975 loss: 1.0975 2022/08/03 15:37:51 - mmengine - INFO - Epoch(train) [167][180/1879] lr: 1.0000e-04 eta: 13:21:50 time: 0.2906 data_time: 0.0279 memory: 8198 grad_norm: 7.0467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9271 loss: 0.9271 2022/08/03 15:37:56 - mmengine - INFO - Epoch(train) [167][200/1879] lr: 1.0000e-04 eta: 13:21:45 time: 0.2838 data_time: 0.0214 memory: 8198 grad_norm: 6.6559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/08/03 15:38:02 - mmengine - INFO - Epoch(train) [167][220/1879] lr: 1.0000e-04 eta: 13:21:39 time: 0.2949 data_time: 0.0274 memory: 8198 grad_norm: 6.9684 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9353 loss: 0.9353 2022/08/03 15:38:08 - mmengine - INFO - Epoch(train) [167][240/1879] lr: 1.0000e-04 eta: 13:21:33 time: 0.2872 data_time: 0.0251 memory: 8198 grad_norm: 6.8644 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8663 loss: 0.8663 2022/08/03 15:38:14 - mmengine - INFO - Epoch(train) [167][260/1879] lr: 1.0000e-04 eta: 13:21:28 time: 0.2897 data_time: 0.0269 memory: 8198 grad_norm: 6.9858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0441 loss: 1.0441 2022/08/03 15:38:20 - mmengine - INFO - Epoch(train) [167][280/1879] lr: 1.0000e-04 eta: 13:21:22 time: 0.2841 data_time: 0.0229 memory: 8198 grad_norm: 6.7747 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9459 loss: 0.9459 2022/08/03 15:38:25 - mmengine - INFO - Epoch(train) [167][300/1879] lr: 1.0000e-04 eta: 13:21:16 time: 0.2878 data_time: 0.0279 memory: 8198 grad_norm: 6.8739 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/03 15:38:31 - mmengine - INFO - Epoch(train) [167][320/1879] lr: 1.0000e-04 eta: 13:21:11 time: 0.2850 data_time: 0.0240 memory: 8198 grad_norm: 6.8579 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7970 loss: 0.7970 2022/08/03 15:38:37 - mmengine - INFO - Epoch(train) [167][340/1879] lr: 1.0000e-04 eta: 13:21:05 time: 0.2876 data_time: 0.0236 memory: 8198 grad_norm: 6.9531 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/03 15:38:43 - mmengine - INFO - Epoch(train) [167][360/1879] lr: 1.0000e-04 eta: 13:20:59 time: 0.2923 data_time: 0.0247 memory: 8198 grad_norm: 7.0514 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9770 loss: 0.9770 2022/08/03 15:38:48 - mmengine - INFO - Epoch(train) [167][380/1879] lr: 1.0000e-04 eta: 13:20:54 time: 0.2887 data_time: 0.0218 memory: 8198 grad_norm: 6.9017 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/03 15:38:54 - mmengine - INFO - Epoch(train) [167][400/1879] lr: 1.0000e-04 eta: 13:20:48 time: 0.2821 data_time: 0.0202 memory: 8198 grad_norm: 7.2198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/08/03 15:39:00 - mmengine - INFO - Epoch(train) [167][420/1879] lr: 1.0000e-04 eta: 13:20:42 time: 0.2933 data_time: 0.0288 memory: 8198 grad_norm: 7.0123 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0263 loss: 1.0263 2022/08/03 15:39:06 - mmengine - INFO - Epoch(train) [167][440/1879] lr: 1.0000e-04 eta: 13:20:37 time: 0.2834 data_time: 0.0236 memory: 8198 grad_norm: 7.0522 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0638 loss: 1.0638 2022/08/03 15:39:11 - mmengine - INFO - Epoch(train) [167][460/1879] lr: 1.0000e-04 eta: 13:20:31 time: 0.2851 data_time: 0.0203 memory: 8198 grad_norm: 7.0291 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9433 loss: 0.9433 2022/08/03 15:39:17 - mmengine - INFO - Epoch(train) [167][480/1879] lr: 1.0000e-04 eta: 13:20:25 time: 0.2844 data_time: 0.0216 memory: 8198 grad_norm: 6.7799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8722 loss: 0.8722 2022/08/03 15:39:23 - mmengine - INFO - Epoch(train) [167][500/1879] lr: 1.0000e-04 eta: 13:20:19 time: 0.2839 data_time: 0.0225 memory: 8198 grad_norm: 6.7289 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9266 loss: 0.9266 2022/08/03 15:39:29 - mmengine - INFO - Epoch(train) [167][520/1879] lr: 1.0000e-04 eta: 13:20:14 time: 0.2862 data_time: 0.0210 memory: 8198 grad_norm: 6.9841 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1193 loss: 1.1193 2022/08/03 15:39:34 - mmengine - INFO - Epoch(train) [167][540/1879] lr: 1.0000e-04 eta: 13:20:08 time: 0.2936 data_time: 0.0282 memory: 8198 grad_norm: 7.3238 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9398 loss: 0.9398 2022/08/03 15:39:40 - mmengine - INFO - Epoch(train) [167][560/1879] lr: 1.0000e-04 eta: 13:20:03 time: 0.2859 data_time: 0.0214 memory: 8198 grad_norm: 6.9269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0148 loss: 1.0148 2022/08/03 15:39:46 - mmengine - INFO - Epoch(train) [167][580/1879] lr: 1.0000e-04 eta: 13:19:57 time: 0.2840 data_time: 0.0245 memory: 8198 grad_norm: 7.0160 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0327 loss: 1.0327 2022/08/03 15:39:52 - mmengine - INFO - Epoch(train) [167][600/1879] lr: 1.0000e-04 eta: 13:19:51 time: 0.2888 data_time: 0.0249 memory: 8198 grad_norm: 7.3171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8564 loss: 0.8564 2022/08/03 15:39:58 - mmengine - INFO - Epoch(train) [167][620/1879] lr: 1.0000e-04 eta: 13:19:46 time: 0.2879 data_time: 0.0241 memory: 8198 grad_norm: 7.2348 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9969 loss: 0.9969 2022/08/03 15:40:03 - mmengine - INFO - Epoch(train) [167][640/1879] lr: 1.0000e-04 eta: 13:19:40 time: 0.2866 data_time: 0.0260 memory: 8198 grad_norm: 6.9579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0231 loss: 1.0231 2022/08/03 15:40:09 - mmengine - INFO - Epoch(train) [167][660/1879] lr: 1.0000e-04 eta: 13:19:34 time: 0.3079 data_time: 0.0287 memory: 8198 grad_norm: 7.1635 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0134 loss: 1.0134 2022/08/03 15:40:15 - mmengine - INFO - Epoch(train) [167][680/1879] lr: 1.0000e-04 eta: 13:19:29 time: 0.2906 data_time: 0.0341 memory: 8198 grad_norm: 7.2462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0740 loss: 1.0740 2022/08/03 15:40:21 - mmengine - INFO - Epoch(train) [167][700/1879] lr: 1.0000e-04 eta: 13:19:23 time: 0.2850 data_time: 0.0191 memory: 8198 grad_norm: 7.1082 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8733 loss: 0.8733 2022/08/03 15:40:27 - mmengine - INFO - Epoch(train) [167][720/1879] lr: 1.0000e-04 eta: 13:19:17 time: 0.2849 data_time: 0.0288 memory: 8198 grad_norm: 7.1170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/08/03 15:40:33 - mmengine - INFO - Epoch(train) [167][740/1879] lr: 1.0000e-04 eta: 13:19:12 time: 0.2895 data_time: 0.0221 memory: 8198 grad_norm: 6.9483 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0302 loss: 1.0302 2022/08/03 15:40:38 - mmengine - INFO - Epoch(train) [167][760/1879] lr: 1.0000e-04 eta: 13:19:06 time: 0.2837 data_time: 0.0223 memory: 8198 grad_norm: 7.1167 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9706 loss: 0.9706 2022/08/03 15:40:44 - mmengine - INFO - Epoch(train) [167][780/1879] lr: 1.0000e-04 eta: 13:19:00 time: 0.2870 data_time: 0.0233 memory: 8198 grad_norm: 6.9236 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9272 loss: 0.9272 2022/08/03 15:40:50 - mmengine - INFO - Epoch(train) [167][800/1879] lr: 1.0000e-04 eta: 13:18:55 time: 0.3042 data_time: 0.0245 memory: 8198 grad_norm: 6.8440 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0238 loss: 1.0238 2022/08/03 15:40:56 - mmengine - INFO - Epoch(train) [167][820/1879] lr: 1.0000e-04 eta: 13:18:49 time: 0.2815 data_time: 0.0207 memory: 8198 grad_norm: 6.8716 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0502 loss: 1.0502 2022/08/03 15:41:02 - mmengine - INFO - Epoch(train) [167][840/1879] lr: 1.0000e-04 eta: 13:18:43 time: 0.2893 data_time: 0.0230 memory: 8198 grad_norm: 6.7364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8211 loss: 0.8211 2022/08/03 15:41:07 - mmengine - INFO - Epoch(train) [167][860/1879] lr: 1.0000e-04 eta: 13:18:38 time: 0.2832 data_time: 0.0204 memory: 8198 grad_norm: 7.0134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9680 loss: 0.9680 2022/08/03 15:41:13 - mmengine - INFO - Epoch(train) [167][880/1879] lr: 1.0000e-04 eta: 13:18:32 time: 0.3061 data_time: 0.0480 memory: 8198 grad_norm: 7.0167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0356 loss: 1.0356 2022/08/03 15:41:19 - mmengine - INFO - Epoch(train) [167][900/1879] lr: 1.0000e-04 eta: 13:18:27 time: 0.2942 data_time: 0.0269 memory: 8198 grad_norm: 6.8112 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0154 loss: 1.0154 2022/08/03 15:41:25 - mmengine - INFO - Epoch(train) [167][920/1879] lr: 1.0000e-04 eta: 13:18:21 time: 0.2809 data_time: 0.0186 memory: 8198 grad_norm: 6.7959 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9839 loss: 0.9839 2022/08/03 15:41:31 - mmengine - INFO - Epoch(train) [167][940/1879] lr: 1.0000e-04 eta: 13:18:15 time: 0.2865 data_time: 0.0196 memory: 8198 grad_norm: 6.9317 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0344 loss: 1.0344 2022/08/03 15:41:36 - mmengine - INFO - Epoch(train) [167][960/1879] lr: 1.0000e-04 eta: 13:18:10 time: 0.2858 data_time: 0.0211 memory: 8198 grad_norm: 6.9880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9902 loss: 0.9902 2022/08/03 15:41:42 - mmengine - INFO - Epoch(train) [167][980/1879] lr: 1.0000e-04 eta: 13:18:04 time: 0.3004 data_time: 0.0216 memory: 8198 grad_norm: 6.6285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8371 loss: 0.8371 2022/08/03 15:41:48 - mmengine - INFO - Epoch(train) [167][1000/1879] lr: 1.0000e-04 eta: 13:17:58 time: 0.2802 data_time: 0.0207 memory: 8198 grad_norm: 7.0107 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.1541 loss: 1.1541 2022/08/03 15:41:54 - mmengine - INFO - Epoch(train) [167][1020/1879] lr: 1.0000e-04 eta: 13:17:53 time: 0.2877 data_time: 0.0267 memory: 8198 grad_norm: 7.0746 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9276 loss: 0.9276 2022/08/03 15:42:00 - mmengine - INFO - Epoch(train) [167][1040/1879] lr: 1.0000e-04 eta: 13:17:47 time: 0.3020 data_time: 0.0217 memory: 8198 grad_norm: 7.3174 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/03 15:42:06 - mmengine - INFO - Epoch(train) [167][1060/1879] lr: 1.0000e-04 eta: 13:17:41 time: 0.2821 data_time: 0.0214 memory: 8198 grad_norm: 7.0535 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0418 loss: 1.0418 2022/08/03 15:42:11 - mmengine - INFO - Epoch(train) [167][1080/1879] lr: 1.0000e-04 eta: 13:17:36 time: 0.2861 data_time: 0.0255 memory: 8198 grad_norm: 6.7150 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/03 15:42:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:42:17 - mmengine - INFO - Epoch(train) [167][1100/1879] lr: 1.0000e-04 eta: 13:17:30 time: 0.2852 data_time: 0.0227 memory: 8198 grad_norm: 7.1572 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0565 loss: 1.0565 2022/08/03 15:42:23 - mmengine - INFO - Epoch(train) [167][1120/1879] lr: 1.0000e-04 eta: 13:17:24 time: 0.2873 data_time: 0.0194 memory: 8198 grad_norm: 6.9443 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9245 loss: 0.9245 2022/08/03 15:42:29 - mmengine - INFO - Epoch(train) [167][1140/1879] lr: 1.0000e-04 eta: 13:17:19 time: 0.2826 data_time: 0.0209 memory: 8198 grad_norm: 6.8970 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0154 loss: 1.0154 2022/08/03 15:42:34 - mmengine - INFO - Epoch(train) [167][1160/1879] lr: 1.0000e-04 eta: 13:17:13 time: 0.2868 data_time: 0.0237 memory: 8198 grad_norm: 7.2270 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9813 loss: 0.9813 2022/08/03 15:42:40 - mmengine - INFO - Epoch(train) [167][1180/1879] lr: 1.0000e-04 eta: 13:17:07 time: 0.2936 data_time: 0.0262 memory: 8198 grad_norm: 7.0353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0925 loss: 1.0925 2022/08/03 15:42:46 - mmengine - INFO - Epoch(train) [167][1200/1879] lr: 1.0000e-04 eta: 13:17:02 time: 0.2870 data_time: 0.0224 memory: 8198 grad_norm: 6.8934 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9110 loss: 0.9110 2022/08/03 15:42:52 - mmengine - INFO - Epoch(train) [167][1220/1879] lr: 1.0000e-04 eta: 13:16:56 time: 0.2845 data_time: 0.0243 memory: 8198 grad_norm: 6.8381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0742 loss: 1.0742 2022/08/03 15:42:57 - mmengine - INFO - Epoch(train) [167][1240/1879] lr: 1.0000e-04 eta: 13:16:50 time: 0.2870 data_time: 0.0231 memory: 8198 grad_norm: 6.9589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9127 loss: 0.9127 2022/08/03 15:43:03 - mmengine - INFO - Epoch(train) [167][1260/1879] lr: 1.0000e-04 eta: 13:16:45 time: 0.2949 data_time: 0.0209 memory: 8198 grad_norm: 6.9039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9828 loss: 0.9828 2022/08/03 15:43:09 - mmengine - INFO - Epoch(train) [167][1280/1879] lr: 1.0000e-04 eta: 13:16:39 time: 0.2896 data_time: 0.0193 memory: 8198 grad_norm: 6.7560 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0757 loss: 1.0757 2022/08/03 15:43:15 - mmengine - INFO - Epoch(train) [167][1300/1879] lr: 1.0000e-04 eta: 13:16:33 time: 0.2874 data_time: 0.0206 memory: 8198 grad_norm: 6.9442 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1033 loss: 1.1033 2022/08/03 15:43:21 - mmengine - INFO - Epoch(train) [167][1320/1879] lr: 1.0000e-04 eta: 13:16:28 time: 0.2923 data_time: 0.0207 memory: 8198 grad_norm: 6.9614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/08/03 15:43:26 - mmengine - INFO - Epoch(train) [167][1340/1879] lr: 1.0000e-04 eta: 13:16:22 time: 0.2836 data_time: 0.0242 memory: 8198 grad_norm: 6.9592 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0420 loss: 1.0420 2022/08/03 15:43:32 - mmengine - INFO - Epoch(train) [167][1360/1879] lr: 1.0000e-04 eta: 13:16:16 time: 0.2883 data_time: 0.0258 memory: 8198 grad_norm: 6.9002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8952 loss: 0.8952 2022/08/03 15:43:38 - mmengine - INFO - Epoch(train) [167][1380/1879] lr: 1.0000e-04 eta: 13:16:11 time: 0.2852 data_time: 0.0253 memory: 8198 grad_norm: 6.8632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7740 loss: 0.7740 2022/08/03 15:43:44 - mmengine - INFO - Epoch(train) [167][1400/1879] lr: 1.0000e-04 eta: 13:16:05 time: 0.2863 data_time: 0.0219 memory: 8198 grad_norm: 6.9017 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0010 loss: 1.0010 2022/08/03 15:43:50 - mmengine - INFO - Epoch(train) [167][1420/1879] lr: 1.0000e-04 eta: 13:15:59 time: 0.2878 data_time: 0.0214 memory: 8198 grad_norm: 6.6555 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9665 loss: 0.9665 2022/08/03 15:43:55 - mmengine - INFO - Epoch(train) [167][1440/1879] lr: 1.0000e-04 eta: 13:15:54 time: 0.2843 data_time: 0.0211 memory: 8198 grad_norm: 7.0545 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0600 loss: 1.0600 2022/08/03 15:44:01 - mmengine - INFO - Epoch(train) [167][1460/1879] lr: 1.0000e-04 eta: 13:15:48 time: 0.2882 data_time: 0.0217 memory: 8198 grad_norm: 7.1989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/08/03 15:44:07 - mmengine - INFO - Epoch(train) [167][1480/1879] lr: 1.0000e-04 eta: 13:15:42 time: 0.2836 data_time: 0.0249 memory: 8198 grad_norm: 7.0260 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0849 loss: 1.0849 2022/08/03 15:44:12 - mmengine - INFO - Epoch(train) [167][1500/1879] lr: 1.0000e-04 eta: 13:15:37 time: 0.2859 data_time: 0.0226 memory: 8198 grad_norm: 6.9136 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9683 loss: 0.9683 2022/08/03 15:44:18 - mmengine - INFO - Epoch(train) [167][1520/1879] lr: 1.0000e-04 eta: 13:15:31 time: 0.2860 data_time: 0.0206 memory: 8198 grad_norm: 7.0488 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8772 loss: 0.8772 2022/08/03 15:44:24 - mmengine - INFO - Epoch(train) [167][1540/1879] lr: 1.0000e-04 eta: 13:15:25 time: 0.2897 data_time: 0.0285 memory: 8198 grad_norm: 7.1241 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0640 loss: 1.0640 2022/08/03 15:44:30 - mmengine - INFO - Epoch(train) [167][1560/1879] lr: 1.0000e-04 eta: 13:15:20 time: 0.2833 data_time: 0.0247 memory: 8198 grad_norm: 7.1569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9407 loss: 0.9407 2022/08/03 15:44:36 - mmengine - INFO - Epoch(train) [167][1580/1879] lr: 1.0000e-04 eta: 13:15:14 time: 0.2870 data_time: 0.0226 memory: 8198 grad_norm: 6.9168 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9771 loss: 0.9771 2022/08/03 15:44:41 - mmengine - INFO - Epoch(train) [167][1600/1879] lr: 1.0000e-04 eta: 13:15:08 time: 0.2938 data_time: 0.0235 memory: 8198 grad_norm: 7.0781 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0036 loss: 1.0036 2022/08/03 15:44:47 - mmengine - INFO - Epoch(train) [167][1620/1879] lr: 1.0000e-04 eta: 13:15:03 time: 0.2857 data_time: 0.0261 memory: 8198 grad_norm: 6.8207 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9342 loss: 0.9342 2022/08/03 15:44:53 - mmengine - INFO - Epoch(train) [167][1640/1879] lr: 1.0000e-04 eta: 13:14:57 time: 0.2846 data_time: 0.0165 memory: 8198 grad_norm: 6.9784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9936 loss: 0.9936 2022/08/03 15:44:59 - mmengine - INFO - Epoch(train) [167][1660/1879] lr: 1.0000e-04 eta: 13:14:51 time: 0.2966 data_time: 0.0280 memory: 8198 grad_norm: 7.1713 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9733 loss: 0.9733 2022/08/03 15:45:05 - mmengine - INFO - Epoch(train) [167][1680/1879] lr: 1.0000e-04 eta: 13:14:46 time: 0.2889 data_time: 0.0263 memory: 8198 grad_norm: 6.9358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/03 15:45:10 - mmengine - INFO - Epoch(train) [167][1700/1879] lr: 1.0000e-04 eta: 13:14:40 time: 0.2861 data_time: 0.0212 memory: 8198 grad_norm: 6.9273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9928 loss: 0.9928 2022/08/03 15:45:16 - mmengine - INFO - Epoch(train) [167][1720/1879] lr: 1.0000e-04 eta: 13:14:34 time: 0.2854 data_time: 0.0220 memory: 8198 grad_norm: 6.8060 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8837 loss: 0.8837 2022/08/03 15:45:22 - mmengine - INFO - Epoch(train) [167][1740/1879] lr: 1.0000e-04 eta: 13:14:29 time: 0.2870 data_time: 0.0240 memory: 8198 grad_norm: 6.9764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9479 loss: 0.9479 2022/08/03 15:45:28 - mmengine - INFO - Epoch(train) [167][1760/1879] lr: 1.0000e-04 eta: 13:14:23 time: 0.2841 data_time: 0.0277 memory: 8198 grad_norm: 7.0409 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9924 loss: 0.9924 2022/08/03 15:45:33 - mmengine - INFO - Epoch(train) [167][1780/1879] lr: 1.0000e-04 eta: 13:14:17 time: 0.2882 data_time: 0.0243 memory: 8198 grad_norm: 7.0976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1037 loss: 1.1037 2022/08/03 15:45:39 - mmengine - INFO - Epoch(train) [167][1800/1879] lr: 1.0000e-04 eta: 13:14:12 time: 0.2841 data_time: 0.0242 memory: 8198 grad_norm: 6.7477 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9165 loss: 0.9165 2022/08/03 15:45:45 - mmengine - INFO - Epoch(train) [167][1820/1879] lr: 1.0000e-04 eta: 13:14:06 time: 0.3013 data_time: 0.0234 memory: 8198 grad_norm: 6.9768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/03 15:45:51 - mmengine - INFO - Epoch(train) [167][1840/1879] lr: 1.0000e-04 eta: 13:14:00 time: 0.2900 data_time: 0.0289 memory: 8198 grad_norm: 7.0308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1011 loss: 1.1011 2022/08/03 15:45:57 - mmengine - INFO - Epoch(train) [167][1860/1879] lr: 1.0000e-04 eta: 13:13:55 time: 0.2833 data_time: 0.0210 memory: 8198 grad_norm: 6.7660 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9333 loss: 0.9333 2022/08/03 15:46:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:46:02 - mmengine - INFO - Epoch(train) [167][1879/1879] lr: 1.0000e-04 eta: 13:13:55 time: 0.2613 data_time: 0.0197 memory: 8198 grad_norm: 7.0455 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/08/03 15:46:10 - mmengine - INFO - Epoch(train) [168][20/1879] lr: 1.0000e-04 eta: 13:13:42 time: 0.4072 data_time: 0.1074 memory: 8198 grad_norm: 7.1197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9560 loss: 0.9560 2022/08/03 15:46:16 - mmengine - INFO - Epoch(train) [168][40/1879] lr: 1.0000e-04 eta: 13:13:36 time: 0.2882 data_time: 0.0217 memory: 8198 grad_norm: 7.0936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0727 loss: 1.0727 2022/08/03 15:46:22 - mmengine - INFO - Epoch(train) [168][60/1879] lr: 1.0000e-04 eta: 13:13:31 time: 0.3001 data_time: 0.0208 memory: 8198 grad_norm: 6.9433 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0013 loss: 1.0013 2022/08/03 15:46:27 - mmengine - INFO - Epoch(train) [168][80/1879] lr: 1.0000e-04 eta: 13:13:25 time: 0.2875 data_time: 0.0250 memory: 8198 grad_norm: 7.0051 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9134 loss: 0.9134 2022/08/03 15:46:33 - mmengine - INFO - Epoch(train) [168][100/1879] lr: 1.0000e-04 eta: 13:13:19 time: 0.2813 data_time: 0.0226 memory: 8198 grad_norm: 6.9004 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0502 loss: 1.0502 2022/08/03 15:46:39 - mmengine - INFO - Epoch(train) [168][120/1879] lr: 1.0000e-04 eta: 13:13:14 time: 0.2895 data_time: 0.0173 memory: 8198 grad_norm: 6.9271 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8966 loss: 0.8966 2022/08/03 15:46:45 - mmengine - INFO - Epoch(train) [168][140/1879] lr: 1.0000e-04 eta: 13:13:08 time: 0.3141 data_time: 0.0182 memory: 8198 grad_norm: 6.8891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9430 loss: 0.9430 2022/08/03 15:46:51 - mmengine - INFO - Epoch(train) [168][160/1879] lr: 1.0000e-04 eta: 13:13:03 time: 0.2828 data_time: 0.0190 memory: 8198 grad_norm: 6.8778 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/03 15:46:57 - mmengine - INFO - Epoch(train) [168][180/1879] lr: 1.0000e-04 eta: 13:12:57 time: 0.2873 data_time: 0.0216 memory: 8198 grad_norm: 7.3972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0908 loss: 1.0908 2022/08/03 15:47:03 - mmengine - INFO - Epoch(train) [168][200/1879] lr: 1.0000e-04 eta: 13:12:52 time: 0.3077 data_time: 0.0224 memory: 8198 grad_norm: 7.0012 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9000 loss: 0.9000 2022/08/03 15:47:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:47:08 - mmengine - INFO - Epoch(train) [168][220/1879] lr: 1.0000e-04 eta: 13:12:46 time: 0.2810 data_time: 0.0224 memory: 8198 grad_norm: 6.9566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8941 loss: 0.8941 2022/08/03 15:47:14 - mmengine - INFO - Epoch(train) [168][240/1879] lr: 1.0000e-04 eta: 13:12:40 time: 0.2838 data_time: 0.0211 memory: 8198 grad_norm: 6.9908 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1659 loss: 1.1659 2022/08/03 15:47:20 - mmengine - INFO - Epoch(train) [168][260/1879] lr: 1.0000e-04 eta: 13:12:35 time: 0.2943 data_time: 0.0220 memory: 8198 grad_norm: 6.8292 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9381 loss: 0.9381 2022/08/03 15:47:26 - mmengine - INFO - Epoch(train) [168][280/1879] lr: 1.0000e-04 eta: 13:12:29 time: 0.2838 data_time: 0.0220 memory: 8198 grad_norm: 6.8925 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8311 loss: 0.8311 2022/08/03 15:47:31 - mmengine - INFO - Epoch(train) [168][300/1879] lr: 1.0000e-04 eta: 13:12:23 time: 0.2840 data_time: 0.0201 memory: 8198 grad_norm: 6.8514 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/03 15:47:37 - mmengine - INFO - Epoch(train) [168][320/1879] lr: 1.0000e-04 eta: 13:12:17 time: 0.2874 data_time: 0.0223 memory: 8198 grad_norm: 7.0499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/08/03 15:47:44 - mmengine - INFO - Epoch(train) [168][340/1879] lr: 1.0000e-04 eta: 13:12:12 time: 0.3187 data_time: 0.0209 memory: 8198 grad_norm: 6.7395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0169 loss: 1.0169 2022/08/03 15:47:49 - mmengine - INFO - Epoch(train) [168][360/1879] lr: 1.0000e-04 eta: 13:12:06 time: 0.2818 data_time: 0.0218 memory: 8198 grad_norm: 6.9939 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0896 loss: 1.0896 2022/08/03 15:47:55 - mmengine - INFO - Epoch(train) [168][380/1879] lr: 1.0000e-04 eta: 13:12:01 time: 0.2845 data_time: 0.0251 memory: 8198 grad_norm: 6.9659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9981 loss: 0.9981 2022/08/03 15:48:01 - mmengine - INFO - Epoch(train) [168][400/1879] lr: 1.0000e-04 eta: 13:11:55 time: 0.2930 data_time: 0.0222 memory: 8198 grad_norm: 6.9780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9493 loss: 0.9493 2022/08/03 15:48:07 - mmengine - INFO - Epoch(train) [168][420/1879] lr: 1.0000e-04 eta: 13:11:49 time: 0.2821 data_time: 0.0233 memory: 8198 grad_norm: 6.9018 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0255 loss: 1.0255 2022/08/03 15:48:12 - mmengine - INFO - Epoch(train) [168][440/1879] lr: 1.0000e-04 eta: 13:11:44 time: 0.2856 data_time: 0.0205 memory: 8198 grad_norm: 6.9616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0456 loss: 1.0456 2022/08/03 15:48:18 - mmengine - INFO - Epoch(train) [168][460/1879] lr: 1.0000e-04 eta: 13:11:38 time: 0.2849 data_time: 0.0209 memory: 8198 grad_norm: 6.6906 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8089 loss: 0.8089 2022/08/03 15:48:24 - mmengine - INFO - Epoch(train) [168][480/1879] lr: 1.0000e-04 eta: 13:11:32 time: 0.2854 data_time: 0.0198 memory: 8198 grad_norm: 7.1177 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9394 loss: 0.9394 2022/08/03 15:48:30 - mmengine - INFO - Epoch(train) [168][500/1879] lr: 1.0000e-04 eta: 13:11:27 time: 0.2902 data_time: 0.0333 memory: 8198 grad_norm: 6.9296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0683 loss: 1.0683 2022/08/03 15:48:35 - mmengine - INFO - Epoch(train) [168][520/1879] lr: 1.0000e-04 eta: 13:11:21 time: 0.2878 data_time: 0.0232 memory: 8198 grad_norm: 6.8042 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0034 loss: 1.0034 2022/08/03 15:48:41 - mmengine - INFO - Epoch(train) [168][540/1879] lr: 1.0000e-04 eta: 13:11:16 time: 0.3043 data_time: 0.0274 memory: 8198 grad_norm: 6.7796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9616 loss: 0.9616 2022/08/03 15:48:47 - mmengine - INFO - Epoch(train) [168][560/1879] lr: 1.0000e-04 eta: 13:11:10 time: 0.2808 data_time: 0.0244 memory: 8198 grad_norm: 6.8747 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0675 loss: 1.0675 2022/08/03 15:48:53 - mmengine - INFO - Epoch(train) [168][580/1879] lr: 1.0000e-04 eta: 13:11:04 time: 0.2872 data_time: 0.0232 memory: 8198 grad_norm: 7.1896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/08/03 15:48:59 - mmengine - INFO - Epoch(train) [168][600/1879] lr: 1.0000e-04 eta: 13:10:58 time: 0.2834 data_time: 0.0187 memory: 8198 grad_norm: 6.9883 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9189 loss: 0.9189 2022/08/03 15:49:04 - mmengine - INFO - Epoch(train) [168][620/1879] lr: 1.0000e-04 eta: 13:10:53 time: 0.2942 data_time: 0.0261 memory: 8198 grad_norm: 7.0718 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/08/03 15:49:10 - mmengine - INFO - Epoch(train) [168][640/1879] lr: 1.0000e-04 eta: 13:10:47 time: 0.2817 data_time: 0.0209 memory: 8198 grad_norm: 7.0618 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9764 loss: 0.9764 2022/08/03 15:49:16 - mmengine - INFO - Epoch(train) [168][660/1879] lr: 1.0000e-04 eta: 13:10:41 time: 0.2839 data_time: 0.0256 memory: 8198 grad_norm: 7.0015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/08/03 15:49:22 - mmengine - INFO - Epoch(train) [168][680/1879] lr: 1.0000e-04 eta: 13:10:36 time: 0.2984 data_time: 0.0270 memory: 8198 grad_norm: 6.8509 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7069 loss: 0.7069 2022/08/03 15:49:28 - mmengine - INFO - Epoch(train) [168][700/1879] lr: 1.0000e-04 eta: 13:10:30 time: 0.2864 data_time: 0.0225 memory: 8198 grad_norm: 7.0166 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9473 loss: 0.9473 2022/08/03 15:49:33 - mmengine - INFO - Epoch(train) [168][720/1879] lr: 1.0000e-04 eta: 13:10:24 time: 0.2848 data_time: 0.0214 memory: 8198 grad_norm: 6.9660 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1003 loss: 1.1003 2022/08/03 15:49:39 - mmengine - INFO - Epoch(train) [168][740/1879] lr: 1.0000e-04 eta: 13:10:19 time: 0.2864 data_time: 0.0233 memory: 8198 grad_norm: 6.8527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0804 loss: 1.0804 2022/08/03 15:49:45 - mmengine - INFO - Epoch(train) [168][760/1879] lr: 1.0000e-04 eta: 13:10:13 time: 0.2951 data_time: 0.0230 memory: 8198 grad_norm: 6.9185 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0382 loss: 1.0382 2022/08/03 15:49:51 - mmengine - INFO - Epoch(train) [168][780/1879] lr: 1.0000e-04 eta: 13:10:07 time: 0.2838 data_time: 0.0194 memory: 8198 grad_norm: 6.9653 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0977 loss: 1.0977 2022/08/03 15:49:56 - mmengine - INFO - Epoch(train) [168][800/1879] lr: 1.0000e-04 eta: 13:10:02 time: 0.2829 data_time: 0.0244 memory: 8198 grad_norm: 6.7918 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0948 loss: 1.0948 2022/08/03 15:50:02 - mmengine - INFO - Epoch(train) [168][820/1879] lr: 1.0000e-04 eta: 13:09:56 time: 0.3065 data_time: 0.0186 memory: 8198 grad_norm: 6.8938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/08/03 15:50:08 - mmengine - INFO - Epoch(train) [168][840/1879] lr: 1.0000e-04 eta: 13:09:51 time: 0.2852 data_time: 0.0258 memory: 8198 grad_norm: 7.0711 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9014 loss: 0.9014 2022/08/03 15:50:14 - mmengine - INFO - Epoch(train) [168][860/1879] lr: 1.0000e-04 eta: 13:09:45 time: 0.2850 data_time: 0.0269 memory: 8198 grad_norm: 6.6922 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1054 loss: 1.1054 2022/08/03 15:50:20 - mmengine - INFO - Epoch(train) [168][880/1879] lr: 1.0000e-04 eta: 13:09:39 time: 0.2838 data_time: 0.0222 memory: 8198 grad_norm: 6.9746 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9758 loss: 0.9758 2022/08/03 15:50:26 - mmengine - INFO - Epoch(train) [168][900/1879] lr: 1.0000e-04 eta: 13:09:34 time: 0.3051 data_time: 0.0250 memory: 8198 grad_norm: 7.2776 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/08/03 15:50:31 - mmengine - INFO - Epoch(train) [168][920/1879] lr: 1.0000e-04 eta: 13:09:28 time: 0.2813 data_time: 0.0184 memory: 8198 grad_norm: 7.0831 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0361 loss: 1.0361 2022/08/03 15:50:37 - mmengine - INFO - Epoch(train) [168][940/1879] lr: 1.0000e-04 eta: 13:09:22 time: 0.2851 data_time: 0.0218 memory: 8198 grad_norm: 7.0239 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0273 loss: 1.0273 2022/08/03 15:50:43 - mmengine - INFO - Epoch(train) [168][960/1879] lr: 1.0000e-04 eta: 13:09:17 time: 0.2894 data_time: 0.0193 memory: 8198 grad_norm: 6.9487 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9101 loss: 0.9101 2022/08/03 15:50:49 - mmengine - INFO - Epoch(train) [168][980/1879] lr: 1.0000e-04 eta: 13:09:11 time: 0.2865 data_time: 0.0274 memory: 8198 grad_norm: 6.9366 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9905 loss: 0.9905 2022/08/03 15:50:54 - mmengine - INFO - Epoch(train) [168][1000/1879] lr: 1.0000e-04 eta: 13:09:05 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 7.3736 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0013 loss: 1.0013 2022/08/03 15:51:00 - mmengine - INFO - Epoch(train) [168][1020/1879] lr: 1.0000e-04 eta: 13:09:00 time: 0.2983 data_time: 0.0263 memory: 8198 grad_norm: 7.2590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8840 loss: 0.8840 2022/08/03 15:51:06 - mmengine - INFO - Epoch(train) [168][1040/1879] lr: 1.0000e-04 eta: 13:08:54 time: 0.2829 data_time: 0.0234 memory: 8198 grad_norm: 6.9959 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1218 loss: 1.1218 2022/08/03 15:51:12 - mmengine - INFO - Epoch(train) [168][1060/1879] lr: 1.0000e-04 eta: 13:08:48 time: 0.2850 data_time: 0.0258 memory: 8198 grad_norm: 7.0910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/08/03 15:51:18 - mmengine - INFO - Epoch(train) [168][1080/1879] lr: 1.0000e-04 eta: 13:08:43 time: 0.2883 data_time: 0.0279 memory: 8198 grad_norm: 6.7466 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/03 15:51:24 - mmengine - INFO - Epoch(train) [168][1100/1879] lr: 1.0000e-04 eta: 13:08:37 time: 0.3020 data_time: 0.0239 memory: 8198 grad_norm: 6.9635 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0245 loss: 1.0245 2022/08/03 15:51:29 - mmengine - INFO - Epoch(train) [168][1120/1879] lr: 1.0000e-04 eta: 13:08:31 time: 0.2823 data_time: 0.0203 memory: 8198 grad_norm: 6.9853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0238 loss: 1.0238 2022/08/03 15:51:35 - mmengine - INFO - Epoch(train) [168][1140/1879] lr: 1.0000e-04 eta: 13:08:26 time: 0.2918 data_time: 0.0303 memory: 8198 grad_norm: 7.0344 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/03 15:51:41 - mmengine - INFO - Epoch(train) [168][1160/1879] lr: 1.0000e-04 eta: 13:08:20 time: 0.2924 data_time: 0.0265 memory: 8198 grad_norm: 7.0808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9541 loss: 0.9541 2022/08/03 15:51:47 - mmengine - INFO - Epoch(train) [168][1180/1879] lr: 1.0000e-04 eta: 13:08:14 time: 0.2838 data_time: 0.0199 memory: 8198 grad_norm: 6.8411 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9642 loss: 0.9642 2022/08/03 15:51:53 - mmengine - INFO - Epoch(train) [168][1200/1879] lr: 1.0000e-04 eta: 13:08:09 time: 0.2877 data_time: 0.0229 memory: 8198 grad_norm: 6.9256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/08/03 15:51:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:51:58 - mmengine - INFO - Epoch(train) [168][1220/1879] lr: 1.0000e-04 eta: 13:08:03 time: 0.2870 data_time: 0.0225 memory: 8198 grad_norm: 7.0849 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0381 loss: 1.0381 2022/08/03 15:52:04 - mmengine - INFO - Epoch(train) [168][1240/1879] lr: 1.0000e-04 eta: 13:07:57 time: 0.2863 data_time: 0.0327 memory: 8198 grad_norm: 6.8409 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7951 loss: 0.7951 2022/08/03 15:52:10 - mmengine - INFO - Epoch(train) [168][1260/1879] lr: 1.0000e-04 eta: 13:07:52 time: 0.2869 data_time: 0.0245 memory: 8198 grad_norm: 7.2567 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9748 loss: 0.9748 2022/08/03 15:52:16 - mmengine - INFO - Epoch(train) [168][1280/1879] lr: 1.0000e-04 eta: 13:07:46 time: 0.2892 data_time: 0.0267 memory: 8198 grad_norm: 6.7633 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0175 loss: 1.0175 2022/08/03 15:52:21 - mmengine - INFO - Epoch(train) [168][1300/1879] lr: 1.0000e-04 eta: 13:07:40 time: 0.2924 data_time: 0.0204 memory: 8198 grad_norm: 6.9234 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/08/03 15:52:27 - mmengine - INFO - Epoch(train) [168][1320/1879] lr: 1.0000e-04 eta: 13:07:35 time: 0.2899 data_time: 0.0210 memory: 8198 grad_norm: 6.8847 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9125 loss: 0.9125 2022/08/03 15:52:33 - mmengine - INFO - Epoch(train) [168][1340/1879] lr: 1.0000e-04 eta: 13:07:29 time: 0.2907 data_time: 0.0252 memory: 8198 grad_norm: 6.9291 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0599 loss: 1.0599 2022/08/03 15:52:39 - mmengine - INFO - Epoch(train) [168][1360/1879] lr: 1.0000e-04 eta: 13:07:23 time: 0.2818 data_time: 0.0238 memory: 8198 grad_norm: 7.0991 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0864 loss: 1.0864 2022/08/03 15:52:45 - mmengine - INFO - Epoch(train) [168][1380/1879] lr: 1.0000e-04 eta: 13:07:18 time: 0.2876 data_time: 0.0260 memory: 8198 grad_norm: 6.5806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/08/03 15:52:50 - mmengine - INFO - Epoch(train) [168][1400/1879] lr: 1.0000e-04 eta: 13:07:12 time: 0.2901 data_time: 0.0278 memory: 8198 grad_norm: 6.9526 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8377 loss: 0.8377 2022/08/03 15:52:56 - mmengine - INFO - Epoch(train) [168][1420/1879] lr: 1.0000e-04 eta: 13:07:06 time: 0.2840 data_time: 0.0234 memory: 8198 grad_norm: 7.0491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/08/03 15:53:02 - mmengine - INFO - Epoch(train) [168][1440/1879] lr: 1.0000e-04 eta: 13:07:01 time: 0.2936 data_time: 0.0234 memory: 8198 grad_norm: 7.0178 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8684 loss: 0.8684 2022/08/03 15:53:08 - mmengine - INFO - Epoch(train) [168][1460/1879] lr: 1.0000e-04 eta: 13:06:55 time: 0.2800 data_time: 0.0193 memory: 8198 grad_norm: 6.8884 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/08/03 15:53:14 - mmengine - INFO - Epoch(train) [168][1480/1879] lr: 1.0000e-04 eta: 13:06:49 time: 0.2927 data_time: 0.0253 memory: 8198 grad_norm: 6.9124 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0232 loss: 1.0232 2022/08/03 15:53:19 - mmengine - INFO - Epoch(train) [168][1500/1879] lr: 1.0000e-04 eta: 13:06:44 time: 0.2860 data_time: 0.0270 memory: 8198 grad_norm: 6.8234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9939 loss: 0.9939 2022/08/03 15:53:25 - mmengine - INFO - Epoch(train) [168][1520/1879] lr: 1.0000e-04 eta: 13:06:38 time: 0.2859 data_time: 0.0224 memory: 8198 grad_norm: 7.0642 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9926 loss: 0.9926 2022/08/03 15:53:31 - mmengine - INFO - Epoch(train) [168][1540/1879] lr: 1.0000e-04 eta: 13:06:32 time: 0.2905 data_time: 0.0229 memory: 8198 grad_norm: 6.8716 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9202 loss: 0.9202 2022/08/03 15:53:37 - mmengine - INFO - Epoch(train) [168][1560/1879] lr: 1.0000e-04 eta: 13:06:27 time: 0.2823 data_time: 0.0217 memory: 8198 grad_norm: 7.1827 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1877 loss: 1.1877 2022/08/03 15:53:42 - mmengine - INFO - Epoch(train) [168][1580/1879] lr: 1.0000e-04 eta: 13:06:21 time: 0.2854 data_time: 0.0207 memory: 8198 grad_norm: 7.1154 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0474 loss: 1.0474 2022/08/03 15:53:48 - mmengine - INFO - Epoch(train) [168][1600/1879] lr: 1.0000e-04 eta: 13:06:15 time: 0.2872 data_time: 0.0221 memory: 8198 grad_norm: 6.8752 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9334 loss: 0.9334 2022/08/03 15:53:54 - mmengine - INFO - Epoch(train) [168][1620/1879] lr: 1.0000e-04 eta: 13:06:10 time: 0.2943 data_time: 0.0255 memory: 8198 grad_norm: 6.8747 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9468 loss: 0.9468 2022/08/03 15:54:00 - mmengine - INFO - Epoch(train) [168][1640/1879] lr: 1.0000e-04 eta: 13:06:04 time: 0.2861 data_time: 0.0199 memory: 8198 grad_norm: 7.0898 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9523 loss: 0.9523 2022/08/03 15:54:05 - mmengine - INFO - Epoch(train) [168][1660/1879] lr: 1.0000e-04 eta: 13:05:58 time: 0.2856 data_time: 0.0233 memory: 8198 grad_norm: 6.9773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9000 loss: 0.9000 2022/08/03 15:54:12 - mmengine - INFO - Epoch(train) [168][1680/1879] lr: 1.0000e-04 eta: 13:05:53 time: 0.3040 data_time: 0.0194 memory: 8198 grad_norm: 6.9007 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9598 loss: 0.9598 2022/08/03 15:54:17 - mmengine - INFO - Epoch(train) [168][1700/1879] lr: 1.0000e-04 eta: 13:05:47 time: 0.2824 data_time: 0.0220 memory: 8198 grad_norm: 7.1117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9878 loss: 0.9878 2022/08/03 15:54:23 - mmengine - INFO - Epoch(train) [168][1720/1879] lr: 1.0000e-04 eta: 13:05:42 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 6.9395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0759 loss: 1.0759 2022/08/03 15:54:29 - mmengine - INFO - Epoch(train) [168][1740/1879] lr: 1.0000e-04 eta: 13:05:36 time: 0.2850 data_time: 0.0230 memory: 8198 grad_norm: 7.1253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0652 loss: 1.0652 2022/08/03 15:54:34 - mmengine - INFO - Epoch(train) [168][1760/1879] lr: 1.0000e-04 eta: 13:05:30 time: 0.2878 data_time: 0.0219 memory: 8198 grad_norm: 6.8848 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9015 loss: 0.9015 2022/08/03 15:54:40 - mmengine - INFO - Epoch(train) [168][1780/1879] lr: 1.0000e-04 eta: 13:05:24 time: 0.2848 data_time: 0.0232 memory: 8198 grad_norm: 6.9792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/08/03 15:54:46 - mmengine - INFO - Epoch(train) [168][1800/1879] lr: 1.0000e-04 eta: 13:05:19 time: 0.2874 data_time: 0.0249 memory: 8198 grad_norm: 6.8293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8341 loss: 0.8341 2022/08/03 15:54:52 - mmengine - INFO - Epoch(train) [168][1820/1879] lr: 1.0000e-04 eta: 13:05:13 time: 0.2893 data_time: 0.0207 memory: 8198 grad_norm: 7.0605 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/08/03 15:54:57 - mmengine - INFO - Epoch(train) [168][1840/1879] lr: 1.0000e-04 eta: 13:05:07 time: 0.2831 data_time: 0.0190 memory: 8198 grad_norm: 7.0786 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/03 15:55:03 - mmengine - INFO - Epoch(train) [168][1860/1879] lr: 1.0000e-04 eta: 13:05:02 time: 0.2881 data_time: 0.0229 memory: 8198 grad_norm: 7.0397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1328 loss: 1.1328 2022/08/03 15:55:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:55:08 - mmengine - INFO - Epoch(train) [168][1879/1879] lr: 1.0000e-04 eta: 13:05:02 time: 0.2551 data_time: 0.0144 memory: 8198 grad_norm: 6.7079 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8727 loss: 0.8727 2022/08/03 15:55:08 - mmengine - INFO - Saving checkpoint at 168 epochs 2022/08/03 15:55:18 - mmengine - INFO - Epoch(train) [169][20/1879] lr: 1.0000e-04 eta: 13:04:49 time: 0.3592 data_time: 0.0947 memory: 8198 grad_norm: 6.9491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9848 loss: 0.9848 2022/08/03 15:55:24 - mmengine - INFO - Epoch(train) [169][40/1879] lr: 1.0000e-04 eta: 13:04:43 time: 0.2921 data_time: 0.0174 memory: 8198 grad_norm: 6.9074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9651 loss: 0.9651 2022/08/03 15:55:30 - mmengine - INFO - Epoch(train) [169][60/1879] lr: 1.0000e-04 eta: 13:04:37 time: 0.2898 data_time: 0.0215 memory: 8198 grad_norm: 6.9628 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8445 loss: 0.8445 2022/08/03 15:55:36 - mmengine - INFO - Epoch(train) [169][80/1879] lr: 1.0000e-04 eta: 13:04:32 time: 0.2850 data_time: 0.0213 memory: 8198 grad_norm: 6.8348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8742 loss: 0.8742 2022/08/03 15:55:42 - mmengine - INFO - Epoch(train) [169][100/1879] lr: 1.0000e-04 eta: 13:04:26 time: 0.2936 data_time: 0.0275 memory: 8198 grad_norm: 6.7846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9006 loss: 0.9006 2022/08/03 15:55:47 - mmengine - INFO - Epoch(train) [169][120/1879] lr: 1.0000e-04 eta: 13:04:20 time: 0.2903 data_time: 0.0207 memory: 8198 grad_norm: 7.1369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/08/03 15:55:53 - mmengine - INFO - Epoch(train) [169][140/1879] lr: 1.0000e-04 eta: 13:04:15 time: 0.2847 data_time: 0.0197 memory: 8198 grad_norm: 7.0884 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9772 loss: 0.9772 2022/08/03 15:55:59 - mmengine - INFO - Epoch(train) [169][160/1879] lr: 1.0000e-04 eta: 13:04:09 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 7.0275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9202 loss: 0.9202 2022/08/03 15:56:05 - mmengine - INFO - Epoch(train) [169][180/1879] lr: 1.0000e-04 eta: 13:04:03 time: 0.2959 data_time: 0.0241 memory: 8198 grad_norm: 6.8475 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0189 loss: 1.0189 2022/08/03 15:56:11 - mmengine - INFO - Epoch(train) [169][200/1879] lr: 1.0000e-04 eta: 13:03:58 time: 0.2869 data_time: 0.0222 memory: 8198 grad_norm: 7.0519 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8957 loss: 0.8957 2022/08/03 15:56:16 - mmengine - INFO - Epoch(train) [169][220/1879] lr: 1.0000e-04 eta: 13:03:52 time: 0.2879 data_time: 0.0251 memory: 8198 grad_norm: 6.8055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9856 loss: 0.9856 2022/08/03 15:56:22 - mmengine - INFO - Epoch(train) [169][240/1879] lr: 1.0000e-04 eta: 13:03:46 time: 0.2938 data_time: 0.0200 memory: 8198 grad_norm: 6.9881 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9307 loss: 0.9307 2022/08/03 15:56:28 - mmengine - INFO - Epoch(train) [169][260/1879] lr: 1.0000e-04 eta: 13:03:41 time: 0.2856 data_time: 0.0210 memory: 8198 grad_norm: 6.8271 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0598 loss: 1.0598 2022/08/03 15:56:34 - mmengine - INFO - Epoch(train) [169][280/1879] lr: 1.0000e-04 eta: 13:03:35 time: 0.2896 data_time: 0.0202 memory: 8198 grad_norm: 7.0369 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/08/03 15:56:39 - mmengine - INFO - Epoch(train) [169][300/1879] lr: 1.0000e-04 eta: 13:03:29 time: 0.2819 data_time: 0.0185 memory: 8198 grad_norm: 6.5946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0304 loss: 1.0304 2022/08/03 15:56:45 - mmengine - INFO - Epoch(train) [169][320/1879] lr: 1.0000e-04 eta: 13:03:24 time: 0.2889 data_time: 0.0228 memory: 8198 grad_norm: 6.7931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0349 loss: 1.0349 2022/08/03 15:56:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 15:56:51 - mmengine - INFO - Epoch(train) [169][340/1879] lr: 1.0000e-04 eta: 13:03:18 time: 0.2989 data_time: 0.0268 memory: 8198 grad_norm: 6.8535 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0416 loss: 1.0416 2022/08/03 15:56:57 - mmengine - INFO - Epoch(train) [169][360/1879] lr: 1.0000e-04 eta: 13:03:13 time: 0.2847 data_time: 0.0251 memory: 8198 grad_norm: 6.8758 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/08/03 15:57:03 - mmengine - INFO - Epoch(train) [169][380/1879] lr: 1.0000e-04 eta: 13:03:07 time: 0.2861 data_time: 0.0219 memory: 8198 grad_norm: 6.8796 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1273 loss: 1.1273 2022/08/03 15:57:08 - mmengine - INFO - Epoch(train) [169][400/1879] lr: 1.0000e-04 eta: 13:03:01 time: 0.2856 data_time: 0.0261 memory: 8198 grad_norm: 7.0827 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0508 loss: 1.0508 2022/08/03 15:57:14 - mmengine - INFO - Epoch(train) [169][420/1879] lr: 1.0000e-04 eta: 13:02:56 time: 0.2979 data_time: 0.0226 memory: 8198 grad_norm: 7.0026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9904 loss: 0.9904 2022/08/03 15:57:20 - mmengine - INFO - Epoch(train) [169][440/1879] lr: 1.0000e-04 eta: 13:02:50 time: 0.2821 data_time: 0.0233 memory: 8198 grad_norm: 7.3992 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9072 loss: 0.9072 2022/08/03 15:57:26 - mmengine - INFO - Epoch(train) [169][460/1879] lr: 1.0000e-04 eta: 13:02:44 time: 0.2870 data_time: 0.0278 memory: 8198 grad_norm: 6.9183 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9442 loss: 0.9442 2022/08/03 15:57:32 - mmengine - INFO - Epoch(train) [169][480/1879] lr: 1.0000e-04 eta: 13:02:38 time: 0.2841 data_time: 0.0195 memory: 8198 grad_norm: 6.9479 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9434 loss: 0.9434 2022/08/03 15:57:37 - mmengine - INFO - Epoch(train) [169][500/1879] lr: 1.0000e-04 eta: 13:02:33 time: 0.2864 data_time: 0.0231 memory: 8198 grad_norm: 6.9618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8863 loss: 0.8863 2022/08/03 15:57:43 - mmengine - INFO - Epoch(train) [169][520/1879] lr: 1.0000e-04 eta: 13:02:27 time: 0.2842 data_time: 0.0219 memory: 8198 grad_norm: 6.8590 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/03 15:57:49 - mmengine - INFO - Epoch(train) [169][540/1879] lr: 1.0000e-04 eta: 13:02:21 time: 0.2819 data_time: 0.0226 memory: 8198 grad_norm: 6.8873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9572 loss: 0.9572 2022/08/03 15:57:54 - mmengine - INFO - Epoch(train) [169][560/1879] lr: 1.0000e-04 eta: 13:02:16 time: 0.2869 data_time: 0.0204 memory: 8198 grad_norm: 6.7930 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0442 loss: 1.0442 2022/08/03 15:58:00 - mmengine - INFO - Epoch(train) [169][580/1879] lr: 1.0000e-04 eta: 13:02:10 time: 0.2844 data_time: 0.0244 memory: 8198 grad_norm: 6.8034 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9548 loss: 0.9548 2022/08/03 15:58:06 - mmengine - INFO - Epoch(train) [169][600/1879] lr: 1.0000e-04 eta: 13:02:04 time: 0.2846 data_time: 0.0204 memory: 8198 grad_norm: 7.1259 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0410 loss: 1.0410 2022/08/03 15:58:12 - mmengine - INFO - Epoch(train) [169][620/1879] lr: 1.0000e-04 eta: 13:01:59 time: 0.2889 data_time: 0.0268 memory: 8198 grad_norm: 7.0436 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/08/03 15:58:17 - mmengine - INFO - Epoch(train) [169][640/1879] lr: 1.0000e-04 eta: 13:01:53 time: 0.2840 data_time: 0.0235 memory: 8198 grad_norm: 6.7453 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/08/03 15:58:23 - mmengine - INFO - Epoch(train) [169][660/1879] lr: 1.0000e-04 eta: 13:01:47 time: 0.2932 data_time: 0.0243 memory: 8198 grad_norm: 7.0729 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0314 loss: 1.0314 2022/08/03 15:58:29 - mmengine - INFO - Epoch(train) [169][680/1879] lr: 1.0000e-04 eta: 13:01:42 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 7.0226 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7564 loss: 0.7564 2022/08/03 15:58:35 - mmengine - INFO - Epoch(train) [169][700/1879] lr: 1.0000e-04 eta: 13:01:36 time: 0.2894 data_time: 0.0234 memory: 8198 grad_norm: 7.0647 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9641 loss: 0.9641 2022/08/03 15:58:41 - mmengine - INFO - Epoch(train) [169][720/1879] lr: 1.0000e-04 eta: 13:01:30 time: 0.2854 data_time: 0.0178 memory: 8198 grad_norm: 6.7844 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0163 loss: 1.0163 2022/08/03 15:58:46 - mmengine - INFO - Epoch(train) [169][740/1879] lr: 1.0000e-04 eta: 13:01:25 time: 0.2890 data_time: 0.0292 memory: 8198 grad_norm: 7.2217 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0823 loss: 1.0823 2022/08/03 15:58:52 - mmengine - INFO - Epoch(train) [169][760/1879] lr: 1.0000e-04 eta: 13:01:19 time: 0.2970 data_time: 0.0226 memory: 8198 grad_norm: 6.9615 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8761 loss: 0.8761 2022/08/03 15:58:58 - mmengine - INFO - Epoch(train) [169][780/1879] lr: 1.0000e-04 eta: 13:01:13 time: 0.2820 data_time: 0.0211 memory: 8198 grad_norm: 6.9060 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9801 loss: 0.9801 2022/08/03 15:59:04 - mmengine - INFO - Epoch(train) [169][800/1879] lr: 1.0000e-04 eta: 13:01:08 time: 0.2911 data_time: 0.0208 memory: 8198 grad_norm: 6.6692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9468 loss: 0.9468 2022/08/03 15:59:10 - mmengine - INFO - Epoch(train) [169][820/1879] lr: 1.0000e-04 eta: 13:01:02 time: 0.2861 data_time: 0.0271 memory: 8198 grad_norm: 6.9925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8748 loss: 0.8748 2022/08/03 15:59:15 - mmengine - INFO - Epoch(train) [169][840/1879] lr: 1.0000e-04 eta: 13:00:56 time: 0.2858 data_time: 0.0218 memory: 8198 grad_norm: 6.9847 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/03 15:59:21 - mmengine - INFO - Epoch(train) [169][860/1879] lr: 1.0000e-04 eta: 13:00:51 time: 0.2901 data_time: 0.0260 memory: 8198 grad_norm: 6.8883 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9335 loss: 0.9335 2022/08/03 15:59:27 - mmengine - INFO - Epoch(train) [169][880/1879] lr: 1.0000e-04 eta: 13:00:45 time: 0.2833 data_time: 0.0219 memory: 8198 grad_norm: 6.9173 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8591 loss: 0.8591 2022/08/03 15:59:33 - mmengine - INFO - Epoch(train) [169][900/1879] lr: 1.0000e-04 eta: 13:00:39 time: 0.2868 data_time: 0.0213 memory: 8198 grad_norm: 7.0272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8514 loss: 0.8514 2022/08/03 15:59:38 - mmengine - INFO - Epoch(train) [169][920/1879] lr: 1.0000e-04 eta: 13:00:34 time: 0.2838 data_time: 0.0200 memory: 8198 grad_norm: 7.1308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9279 loss: 0.9279 2022/08/03 15:59:44 - mmengine - INFO - Epoch(train) [169][940/1879] lr: 1.0000e-04 eta: 13:00:28 time: 0.2896 data_time: 0.0275 memory: 8198 grad_norm: 7.0008 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0200 loss: 1.0200 2022/08/03 15:59:50 - mmengine - INFO - Epoch(train) [169][960/1879] lr: 1.0000e-04 eta: 13:00:22 time: 0.2819 data_time: 0.0204 memory: 8198 grad_norm: 6.8636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9159 loss: 0.9159 2022/08/03 15:59:56 - mmengine - INFO - Epoch(train) [169][980/1879] lr: 1.0000e-04 eta: 13:00:17 time: 0.2904 data_time: 0.0270 memory: 8198 grad_norm: 6.7971 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8986 loss: 0.8986 2022/08/03 16:00:01 - mmengine - INFO - Epoch(train) [169][1000/1879] lr: 1.0000e-04 eta: 13:00:11 time: 0.2873 data_time: 0.0254 memory: 8198 grad_norm: 7.0634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2082 loss: 1.2082 2022/08/03 16:00:07 - mmengine - INFO - Epoch(train) [169][1020/1879] lr: 1.0000e-04 eta: 13:00:05 time: 0.2852 data_time: 0.0229 memory: 8198 grad_norm: 7.1217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/08/03 16:00:13 - mmengine - INFO - Epoch(train) [169][1040/1879] lr: 1.0000e-04 eta: 13:00:00 time: 0.2904 data_time: 0.0273 memory: 8198 grad_norm: 7.0644 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1151 loss: 1.1151 2022/08/03 16:00:19 - mmengine - INFO - Epoch(train) [169][1060/1879] lr: 1.0000e-04 eta: 12:59:54 time: 0.2868 data_time: 0.0206 memory: 8198 grad_norm: 6.8972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9177 loss: 0.9177 2022/08/03 16:00:25 - mmengine - INFO - Epoch(train) [169][1080/1879] lr: 1.0000e-04 eta: 12:59:48 time: 0.2908 data_time: 0.0236 memory: 8198 grad_norm: 6.8664 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0120 loss: 1.0120 2022/08/03 16:00:30 - mmengine - INFO - Epoch(train) [169][1100/1879] lr: 1.0000e-04 eta: 12:59:43 time: 0.2868 data_time: 0.0224 memory: 8198 grad_norm: 6.9854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8557 loss: 0.8557 2022/08/03 16:00:36 - mmengine - INFO - Epoch(train) [169][1120/1879] lr: 1.0000e-04 eta: 12:59:37 time: 0.2841 data_time: 0.0211 memory: 8198 grad_norm: 7.0056 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1139 loss: 1.1139 2022/08/03 16:00:42 - mmengine - INFO - Epoch(train) [169][1140/1879] lr: 1.0000e-04 eta: 12:59:31 time: 0.2908 data_time: 0.0206 memory: 8198 grad_norm: 7.0870 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9408 loss: 0.9408 2022/08/03 16:00:48 - mmengine - INFO - Epoch(train) [169][1160/1879] lr: 1.0000e-04 eta: 12:59:26 time: 0.2844 data_time: 0.0218 memory: 8198 grad_norm: 7.0167 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8587 loss: 0.8587 2022/08/03 16:00:53 - mmengine - INFO - Epoch(train) [169][1180/1879] lr: 1.0000e-04 eta: 12:59:20 time: 0.2857 data_time: 0.0233 memory: 8198 grad_norm: 7.1462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/08/03 16:00:59 - mmengine - INFO - Epoch(train) [169][1200/1879] lr: 1.0000e-04 eta: 12:59:14 time: 0.2863 data_time: 0.0248 memory: 8198 grad_norm: 7.0347 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1408 loss: 1.1408 2022/08/03 16:01:05 - mmengine - INFO - Epoch(train) [169][1220/1879] lr: 1.0000e-04 eta: 12:59:09 time: 0.2911 data_time: 0.0213 memory: 8198 grad_norm: 7.0964 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9100 loss: 0.9100 2022/08/03 16:01:11 - mmengine - INFO - Epoch(train) [169][1240/1879] lr: 1.0000e-04 eta: 12:59:03 time: 0.2879 data_time: 0.0245 memory: 8198 grad_norm: 6.7481 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/03 16:01:16 - mmengine - INFO - Epoch(train) [169][1260/1879] lr: 1.0000e-04 eta: 12:58:57 time: 0.2866 data_time: 0.0216 memory: 8198 grad_norm: 6.9160 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8716 loss: 0.8716 2022/08/03 16:01:22 - mmengine - INFO - Epoch(train) [169][1280/1879] lr: 1.0000e-04 eta: 12:58:52 time: 0.2982 data_time: 0.0191 memory: 8198 grad_norm: 7.0111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8729 loss: 0.8729 2022/08/03 16:01:28 - mmengine - INFO - Epoch(train) [169][1300/1879] lr: 1.0000e-04 eta: 12:58:46 time: 0.2864 data_time: 0.0183 memory: 8198 grad_norm: 6.9096 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9810 loss: 0.9810 2022/08/03 16:01:34 - mmengine - INFO - Epoch(train) [169][1320/1879] lr: 1.0000e-04 eta: 12:58:40 time: 0.2925 data_time: 0.0250 memory: 8198 grad_norm: 7.1422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/08/03 16:01:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:01:40 - mmengine - INFO - Epoch(train) [169][1340/1879] lr: 1.0000e-04 eta: 12:58:35 time: 0.2858 data_time: 0.0243 memory: 8198 grad_norm: 7.1967 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8210 loss: 0.8210 2022/08/03 16:01:46 - mmengine - INFO - Epoch(train) [169][1360/1879] lr: 1.0000e-04 eta: 12:58:29 time: 0.2889 data_time: 0.0246 memory: 8198 grad_norm: 6.9782 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0835 loss: 1.0835 2022/08/03 16:01:51 - mmengine - INFO - Epoch(train) [169][1380/1879] lr: 1.0000e-04 eta: 12:58:23 time: 0.2844 data_time: 0.0214 memory: 8198 grad_norm: 7.2310 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0861 loss: 1.0861 2022/08/03 16:01:57 - mmengine - INFO - Epoch(train) [169][1400/1879] lr: 1.0000e-04 eta: 12:58:18 time: 0.2902 data_time: 0.0285 memory: 8198 grad_norm: 6.9753 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9918 loss: 0.9918 2022/08/03 16:02:03 - mmengine - INFO - Epoch(train) [169][1420/1879] lr: 1.0000e-04 eta: 12:58:12 time: 0.2876 data_time: 0.0192 memory: 8198 grad_norm: 6.9245 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0398 loss: 1.0398 2022/08/03 16:02:09 - mmengine - INFO - Epoch(train) [169][1440/1879] lr: 1.0000e-04 eta: 12:58:06 time: 0.2821 data_time: 0.0238 memory: 8198 grad_norm: 7.0119 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/08/03 16:02:14 - mmengine - INFO - Epoch(train) [169][1460/1879] lr: 1.0000e-04 eta: 12:58:01 time: 0.2889 data_time: 0.0200 memory: 8198 grad_norm: 7.1699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/08/03 16:02:20 - mmengine - INFO - Epoch(train) [169][1480/1879] lr: 1.0000e-04 eta: 12:57:55 time: 0.2831 data_time: 0.0182 memory: 8198 grad_norm: 6.9833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/08/03 16:02:26 - mmengine - INFO - Epoch(train) [169][1500/1879] lr: 1.0000e-04 eta: 12:57:49 time: 0.2863 data_time: 0.0205 memory: 8198 grad_norm: 6.8891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9063 loss: 0.9063 2022/08/03 16:02:32 - mmengine - INFO - Epoch(train) [169][1520/1879] lr: 1.0000e-04 eta: 12:57:44 time: 0.2924 data_time: 0.0222 memory: 8198 grad_norm: 6.6692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8434 loss: 0.8434 2022/08/03 16:02:37 - mmengine - INFO - Epoch(train) [169][1540/1879] lr: 1.0000e-04 eta: 12:57:38 time: 0.2829 data_time: 0.0201 memory: 8198 grad_norm: 6.9393 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9279 loss: 0.9279 2022/08/03 16:02:43 - mmengine - INFO - Epoch(train) [169][1560/1879] lr: 1.0000e-04 eta: 12:57:32 time: 0.3042 data_time: 0.0192 memory: 8198 grad_norm: 7.1739 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8044 loss: 0.8044 2022/08/03 16:02:49 - mmengine - INFO - Epoch(train) [169][1580/1879] lr: 1.0000e-04 eta: 12:57:27 time: 0.2808 data_time: 0.0193 memory: 8198 grad_norm: 7.0109 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0304 loss: 1.0304 2022/08/03 16:02:55 - mmengine - INFO - Epoch(train) [169][1600/1879] lr: 1.0000e-04 eta: 12:57:21 time: 0.2860 data_time: 0.0233 memory: 8198 grad_norm: 6.9595 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1533 loss: 1.1533 2022/08/03 16:03:01 - mmengine - INFO - Epoch(train) [169][1620/1879] lr: 1.0000e-04 eta: 12:57:15 time: 0.2868 data_time: 0.0257 memory: 8198 grad_norm: 6.7697 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8703 loss: 0.8703 2022/08/03 16:03:06 - mmengine - INFO - Epoch(train) [169][1640/1879] lr: 1.0000e-04 eta: 12:57:10 time: 0.2893 data_time: 0.0216 memory: 8198 grad_norm: 6.8955 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8223 loss: 0.8223 2022/08/03 16:03:12 - mmengine - INFO - Epoch(train) [169][1660/1879] lr: 1.0000e-04 eta: 12:57:04 time: 0.2990 data_time: 0.0209 memory: 8198 grad_norm: 6.9490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1711 loss: 1.1711 2022/08/03 16:03:18 - mmengine - INFO - Epoch(train) [169][1680/1879] lr: 1.0000e-04 eta: 12:56:58 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 7.0608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0827 loss: 1.0827 2022/08/03 16:03:24 - mmengine - INFO - Epoch(train) [169][1700/1879] lr: 1.0000e-04 eta: 12:56:53 time: 0.2864 data_time: 0.0209 memory: 8198 grad_norm: 7.0375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8814 loss: 0.8814 2022/08/03 16:03:30 - mmengine - INFO - Epoch(train) [169][1720/1879] lr: 1.0000e-04 eta: 12:56:47 time: 0.2902 data_time: 0.0231 memory: 8198 grad_norm: 6.9715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/08/03 16:03:35 - mmengine - INFO - Epoch(train) [169][1740/1879] lr: 1.0000e-04 eta: 12:56:41 time: 0.2859 data_time: 0.0188 memory: 8198 grad_norm: 6.9337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0019 loss: 1.0019 2022/08/03 16:03:41 - mmengine - INFO - Epoch(train) [169][1760/1879] lr: 1.0000e-04 eta: 12:56:36 time: 0.2867 data_time: 0.0233 memory: 8198 grad_norm: 6.8196 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0605 loss: 1.0605 2022/08/03 16:03:47 - mmengine - INFO - Epoch(train) [169][1780/1879] lr: 1.0000e-04 eta: 12:56:30 time: 0.2845 data_time: 0.0218 memory: 8198 grad_norm: 6.9563 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0351 loss: 1.0351 2022/08/03 16:03:53 - mmengine - INFO - Epoch(train) [169][1800/1879] lr: 1.0000e-04 eta: 12:56:24 time: 0.2890 data_time: 0.0258 memory: 8198 grad_norm: 6.9768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8724 loss: 0.8724 2022/08/03 16:03:58 - mmengine - INFO - Epoch(train) [169][1820/1879] lr: 1.0000e-04 eta: 12:56:19 time: 0.2840 data_time: 0.0235 memory: 8198 grad_norm: 7.1616 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0644 loss: 1.0644 2022/08/03 16:04:04 - mmengine - INFO - Epoch(train) [169][1840/1879] lr: 1.0000e-04 eta: 12:56:13 time: 0.2859 data_time: 0.0272 memory: 8198 grad_norm: 7.0006 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0096 loss: 1.0096 2022/08/03 16:04:10 - mmengine - INFO - Epoch(train) [169][1860/1879] lr: 1.0000e-04 eta: 12:56:07 time: 0.2866 data_time: 0.0206 memory: 8198 grad_norm: 6.8347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8139 loss: 0.8139 2022/08/03 16:04:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:04:15 - mmengine - INFO - Epoch(train) [169][1879/1879] lr: 1.0000e-04 eta: 12:56:07 time: 0.2714 data_time: 0.0188 memory: 8198 grad_norm: 6.9949 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9121 loss: 0.9121 2022/08/03 16:04:23 - mmengine - INFO - Epoch(train) [170][20/1879] lr: 1.0000e-04 eta: 12:55:54 time: 0.3867 data_time: 0.1172 memory: 8198 grad_norm: 7.2510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2357 loss: 1.2357 2022/08/03 16:04:30 - mmengine - INFO - Epoch(train) [170][40/1879] lr: 1.0000e-04 eta: 12:55:49 time: 0.3328 data_time: 0.0228 memory: 8198 grad_norm: 6.9195 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1231 loss: 1.1231 2022/08/03 16:04:35 - mmengine - INFO - Epoch(train) [170][60/1879] lr: 1.0000e-04 eta: 12:55:44 time: 0.2845 data_time: 0.0211 memory: 8198 grad_norm: 7.1049 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/08/03 16:04:41 - mmengine - INFO - Epoch(train) [170][80/1879] lr: 1.0000e-04 eta: 12:55:38 time: 0.2995 data_time: 0.0300 memory: 8198 grad_norm: 6.9888 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/08/03 16:04:48 - mmengine - INFO - Epoch(train) [170][100/1879] lr: 1.0000e-04 eta: 12:55:33 time: 0.3062 data_time: 0.0226 memory: 8198 grad_norm: 7.0217 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0957 loss: 1.0957 2022/08/03 16:04:53 - mmengine - INFO - Epoch(train) [170][120/1879] lr: 1.0000e-04 eta: 12:55:27 time: 0.2848 data_time: 0.0225 memory: 8198 grad_norm: 7.2688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8724 loss: 0.8724 2022/08/03 16:04:59 - mmengine - INFO - Epoch(train) [170][140/1879] lr: 1.0000e-04 eta: 12:55:21 time: 0.2963 data_time: 0.0365 memory: 8198 grad_norm: 7.0342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9135 loss: 0.9135 2022/08/03 16:05:05 - mmengine - INFO - Epoch(train) [170][160/1879] lr: 1.0000e-04 eta: 12:55:16 time: 0.3083 data_time: 0.0220 memory: 8198 grad_norm: 7.0163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9936 loss: 0.9936 2022/08/03 16:05:11 - mmengine - INFO - Epoch(train) [170][180/1879] lr: 1.0000e-04 eta: 12:55:10 time: 0.2844 data_time: 0.0222 memory: 8198 grad_norm: 7.0179 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9986 loss: 0.9986 2022/08/03 16:05:17 - mmengine - INFO - Epoch(train) [170][200/1879] lr: 1.0000e-04 eta: 12:55:04 time: 0.2831 data_time: 0.0212 memory: 8198 grad_norm: 7.0481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/08/03 16:05:23 - mmengine - INFO - Epoch(train) [170][220/1879] lr: 1.0000e-04 eta: 12:54:59 time: 0.2992 data_time: 0.0292 memory: 8198 grad_norm: 7.0833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9499 loss: 0.9499 2022/08/03 16:05:28 - mmengine - INFO - Epoch(train) [170][240/1879] lr: 1.0000e-04 eta: 12:54:53 time: 0.2807 data_time: 0.0204 memory: 8198 grad_norm: 6.9289 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/03 16:05:34 - mmengine - INFO - Epoch(train) [170][260/1879] lr: 1.0000e-04 eta: 12:54:47 time: 0.2875 data_time: 0.0274 memory: 8198 grad_norm: 6.9987 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/08/03 16:05:40 - mmengine - INFO - Epoch(train) [170][280/1879] lr: 1.0000e-04 eta: 12:54:42 time: 0.2849 data_time: 0.0222 memory: 8198 grad_norm: 7.0464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/08/03 16:05:46 - mmengine - INFO - Epoch(train) [170][300/1879] lr: 1.0000e-04 eta: 12:54:36 time: 0.2923 data_time: 0.0213 memory: 8198 grad_norm: 6.9948 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7929 loss: 0.7929 2022/08/03 16:05:52 - mmengine - INFO - Epoch(train) [170][320/1879] lr: 1.0000e-04 eta: 12:54:30 time: 0.2896 data_time: 0.0198 memory: 8198 grad_norm: 6.8833 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8967 loss: 0.8967 2022/08/03 16:05:57 - mmengine - INFO - Epoch(train) [170][340/1879] lr: 1.0000e-04 eta: 12:54:25 time: 0.2867 data_time: 0.0186 memory: 8198 grad_norm: 6.9799 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1486 loss: 1.1486 2022/08/03 16:06:03 - mmengine - INFO - Epoch(train) [170][360/1879] lr: 1.0000e-04 eta: 12:54:19 time: 0.2850 data_time: 0.0235 memory: 8198 grad_norm: 6.8000 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0343 loss: 1.0343 2022/08/03 16:06:09 - mmengine - INFO - Epoch(train) [170][380/1879] lr: 1.0000e-04 eta: 12:54:13 time: 0.2866 data_time: 0.0247 memory: 8198 grad_norm: 6.9447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/08/03 16:06:15 - mmengine - INFO - Epoch(train) [170][400/1879] lr: 1.0000e-04 eta: 12:54:08 time: 0.2922 data_time: 0.0274 memory: 8198 grad_norm: 7.1412 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0867 loss: 1.0867 2022/08/03 16:06:20 - mmengine - INFO - Epoch(train) [170][420/1879] lr: 1.0000e-04 eta: 12:54:02 time: 0.2857 data_time: 0.0217 memory: 8198 grad_norm: 6.8638 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/08/03 16:06:26 - mmengine - INFO - Epoch(train) [170][440/1879] lr: 1.0000e-04 eta: 12:53:56 time: 0.2834 data_time: 0.0189 memory: 8198 grad_norm: 6.9830 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0100 loss: 1.0100 2022/08/03 16:06:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:06:32 - mmengine - INFO - Epoch(train) [170][460/1879] lr: 1.0000e-04 eta: 12:53:51 time: 0.2923 data_time: 0.0221 memory: 8198 grad_norm: 6.9811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0984 loss: 1.0984 2022/08/03 16:06:38 - mmengine - INFO - Epoch(train) [170][480/1879] lr: 1.0000e-04 eta: 12:53:45 time: 0.2814 data_time: 0.0191 memory: 8198 grad_norm: 7.1292 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0758 loss: 1.0758 2022/08/03 16:06:43 - mmengine - INFO - Epoch(train) [170][500/1879] lr: 1.0000e-04 eta: 12:53:39 time: 0.2855 data_time: 0.0226 memory: 8198 grad_norm: 7.1435 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/08/03 16:06:49 - mmengine - INFO - Epoch(train) [170][520/1879] lr: 1.0000e-04 eta: 12:53:34 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 7.2117 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0338 loss: 1.0338 2022/08/03 16:06:55 - mmengine - INFO - Epoch(train) [170][540/1879] lr: 1.0000e-04 eta: 12:53:28 time: 0.2954 data_time: 0.0201 memory: 8198 grad_norm: 6.7429 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8545 loss: 0.8545 2022/08/03 16:07:01 - mmengine - INFO - Epoch(train) [170][560/1879] lr: 1.0000e-04 eta: 12:53:22 time: 0.2835 data_time: 0.0214 memory: 8198 grad_norm: 6.9622 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9478 loss: 0.9478 2022/08/03 16:07:07 - mmengine - INFO - Epoch(train) [170][580/1879] lr: 1.0000e-04 eta: 12:53:17 time: 0.2906 data_time: 0.0274 memory: 8198 grad_norm: 6.7120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/03 16:07:13 - mmengine - INFO - Epoch(train) [170][600/1879] lr: 1.0000e-04 eta: 12:53:11 time: 0.3060 data_time: 0.0286 memory: 8198 grad_norm: 6.7401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0558 loss: 1.0558 2022/08/03 16:07:18 - mmengine - INFO - Epoch(train) [170][620/1879] lr: 1.0000e-04 eta: 12:53:06 time: 0.2799 data_time: 0.0208 memory: 8198 grad_norm: 7.0743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/03 16:07:24 - mmengine - INFO - Epoch(train) [170][640/1879] lr: 1.0000e-04 eta: 12:53:00 time: 0.2834 data_time: 0.0240 memory: 8198 grad_norm: 6.7701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0623 loss: 1.0623 2022/08/03 16:07:30 - mmengine - INFO - Epoch(train) [170][660/1879] lr: 1.0000e-04 eta: 12:52:54 time: 0.2869 data_time: 0.0224 memory: 8198 grad_norm: 7.0666 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/03 16:07:36 - mmengine - INFO - Epoch(train) [170][680/1879] lr: 1.0000e-04 eta: 12:52:48 time: 0.2854 data_time: 0.0244 memory: 8198 grad_norm: 7.0045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/03 16:07:41 - mmengine - INFO - Epoch(train) [170][700/1879] lr: 1.0000e-04 eta: 12:52:43 time: 0.2858 data_time: 0.0195 memory: 8198 grad_norm: 6.9746 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9568 loss: 0.9568 2022/08/03 16:07:47 - mmengine - INFO - Epoch(train) [170][720/1879] lr: 1.0000e-04 eta: 12:52:37 time: 0.2847 data_time: 0.0234 memory: 8198 grad_norm: 7.1330 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0534 loss: 1.0534 2022/08/03 16:07:53 - mmengine - INFO - Epoch(train) [170][740/1879] lr: 1.0000e-04 eta: 12:52:32 time: 0.3002 data_time: 0.0249 memory: 8198 grad_norm: 6.9612 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0247 loss: 1.0247 2022/08/03 16:07:59 - mmengine - INFO - Epoch(train) [170][760/1879] lr: 1.0000e-04 eta: 12:52:26 time: 0.2856 data_time: 0.0199 memory: 8198 grad_norm: 7.0206 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0313 loss: 1.0313 2022/08/03 16:08:04 - mmengine - INFO - Epoch(train) [170][780/1879] lr: 1.0000e-04 eta: 12:52:20 time: 0.2840 data_time: 0.0201 memory: 8198 grad_norm: 7.0153 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/03 16:08:10 - mmengine - INFO - Epoch(train) [170][800/1879] lr: 1.0000e-04 eta: 12:52:14 time: 0.2833 data_time: 0.0228 memory: 8198 grad_norm: 6.9182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9007 loss: 0.9007 2022/08/03 16:08:16 - mmengine - INFO - Epoch(train) [170][820/1879] lr: 1.0000e-04 eta: 12:52:09 time: 0.2849 data_time: 0.0226 memory: 8198 grad_norm: 7.0858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9741 loss: 0.9741 2022/08/03 16:08:22 - mmengine - INFO - Epoch(train) [170][840/1879] lr: 1.0000e-04 eta: 12:52:03 time: 0.2895 data_time: 0.0267 memory: 8198 grad_norm: 7.0612 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/08/03 16:08:27 - mmengine - INFO - Epoch(train) [170][860/1879] lr: 1.0000e-04 eta: 12:51:57 time: 0.2832 data_time: 0.0243 memory: 8198 grad_norm: 6.8352 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9546 loss: 0.9546 2022/08/03 16:08:33 - mmengine - INFO - Epoch(train) [170][880/1879] lr: 1.0000e-04 eta: 12:51:52 time: 0.2881 data_time: 0.0228 memory: 8198 grad_norm: 7.1764 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1109 loss: 1.1109 2022/08/03 16:08:39 - mmengine - INFO - Epoch(train) [170][900/1879] lr: 1.0000e-04 eta: 12:51:46 time: 0.2824 data_time: 0.0204 memory: 8198 grad_norm: 6.8691 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9860 loss: 0.9860 2022/08/03 16:08:45 - mmengine - INFO - Epoch(train) [170][920/1879] lr: 1.0000e-04 eta: 12:51:40 time: 0.2879 data_time: 0.0240 memory: 8198 grad_norm: 7.2192 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9385 loss: 0.9385 2022/08/03 16:08:50 - mmengine - INFO - Epoch(train) [170][940/1879] lr: 1.0000e-04 eta: 12:51:35 time: 0.2835 data_time: 0.0221 memory: 8198 grad_norm: 7.2472 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/08/03 16:08:56 - mmengine - INFO - Epoch(train) [170][960/1879] lr: 1.0000e-04 eta: 12:51:29 time: 0.2854 data_time: 0.0206 memory: 8198 grad_norm: 6.5419 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9058 loss: 0.9058 2022/08/03 16:09:02 - mmengine - INFO - Epoch(train) [170][980/1879] lr: 1.0000e-04 eta: 12:51:23 time: 0.2945 data_time: 0.0221 memory: 8198 grad_norm: 7.1690 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/03 16:09:08 - mmengine - INFO - Epoch(train) [170][1000/1879] lr: 1.0000e-04 eta: 12:51:18 time: 0.2834 data_time: 0.0236 memory: 8198 grad_norm: 6.9504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9362 loss: 0.9362 2022/08/03 16:09:14 - mmengine - INFO - Epoch(train) [170][1020/1879] lr: 1.0000e-04 eta: 12:51:12 time: 0.2905 data_time: 0.0217 memory: 8198 grad_norm: 6.9831 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0350 loss: 1.0350 2022/08/03 16:09:19 - mmengine - INFO - Epoch(train) [170][1040/1879] lr: 1.0000e-04 eta: 12:51:06 time: 0.2856 data_time: 0.0248 memory: 8198 grad_norm: 6.8304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8916 loss: 0.8916 2022/08/03 16:09:25 - mmengine - INFO - Epoch(train) [170][1060/1879] lr: 1.0000e-04 eta: 12:51:01 time: 0.2881 data_time: 0.0206 memory: 8198 grad_norm: 7.1768 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0196 loss: 1.0196 2022/08/03 16:09:31 - mmengine - INFO - Epoch(train) [170][1080/1879] lr: 1.0000e-04 eta: 12:50:55 time: 0.2859 data_time: 0.0273 memory: 8198 grad_norm: 7.2033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/08/03 16:09:37 - mmengine - INFO - Epoch(train) [170][1100/1879] lr: 1.0000e-04 eta: 12:50:49 time: 0.2886 data_time: 0.0183 memory: 8198 grad_norm: 6.6746 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/03 16:09:42 - mmengine - INFO - Epoch(train) [170][1120/1879] lr: 1.0000e-04 eta: 12:50:44 time: 0.2885 data_time: 0.0187 memory: 8198 grad_norm: 6.9137 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8156 loss: 0.8156 2022/08/03 16:09:48 - mmengine - INFO - Epoch(train) [170][1140/1879] lr: 1.0000e-04 eta: 12:50:38 time: 0.2864 data_time: 0.0208 memory: 8198 grad_norm: 7.0897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/08/03 16:09:54 - mmengine - INFO - Epoch(train) [170][1160/1879] lr: 1.0000e-04 eta: 12:50:32 time: 0.2842 data_time: 0.0230 memory: 8198 grad_norm: 6.7482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8863 loss: 0.8863 2022/08/03 16:10:00 - mmengine - INFO - Epoch(train) [170][1180/1879] lr: 1.0000e-04 eta: 12:50:27 time: 0.2856 data_time: 0.0207 memory: 8198 grad_norm: 6.9443 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9295 loss: 0.9295 2022/08/03 16:10:05 - mmengine - INFO - Epoch(train) [170][1200/1879] lr: 1.0000e-04 eta: 12:50:21 time: 0.2960 data_time: 0.0222 memory: 8198 grad_norm: 6.8178 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/08/03 16:10:11 - mmengine - INFO - Epoch(train) [170][1220/1879] lr: 1.0000e-04 eta: 12:50:15 time: 0.2840 data_time: 0.0188 memory: 8198 grad_norm: 7.1625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0680 loss: 1.0680 2022/08/03 16:10:17 - mmengine - INFO - Epoch(train) [170][1240/1879] lr: 1.0000e-04 eta: 12:50:10 time: 0.2837 data_time: 0.0249 memory: 8198 grad_norm: 7.0440 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0682 loss: 1.0682 2022/08/03 16:10:23 - mmengine - INFO - Epoch(train) [170][1260/1879] lr: 1.0000e-04 eta: 12:50:04 time: 0.2875 data_time: 0.0244 memory: 8198 grad_norm: 6.9427 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0203 loss: 1.0203 2022/08/03 16:10:28 - mmengine - INFO - Epoch(train) [170][1280/1879] lr: 1.0000e-04 eta: 12:49:58 time: 0.2828 data_time: 0.0196 memory: 8198 grad_norm: 6.7181 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0283 loss: 1.0283 2022/08/03 16:10:34 - mmengine - INFO - Epoch(train) [170][1300/1879] lr: 1.0000e-04 eta: 12:49:52 time: 0.2896 data_time: 0.0260 memory: 8198 grad_norm: 6.9731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/08/03 16:10:40 - mmengine - INFO - Epoch(train) [170][1320/1879] lr: 1.0000e-04 eta: 12:49:47 time: 0.2855 data_time: 0.0232 memory: 8198 grad_norm: 7.1767 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0359 loss: 1.0359 2022/08/03 16:10:46 - mmengine - INFO - Epoch(train) [170][1340/1879] lr: 1.0000e-04 eta: 12:49:41 time: 0.2883 data_time: 0.0223 memory: 8198 grad_norm: 6.8509 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8025 loss: 0.8025 2022/08/03 16:10:51 - mmengine - INFO - Epoch(train) [170][1360/1879] lr: 1.0000e-04 eta: 12:49:35 time: 0.2838 data_time: 0.0264 memory: 8198 grad_norm: 7.0016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8638 loss: 0.8638 2022/08/03 16:10:57 - mmengine - INFO - Epoch(train) [170][1380/1879] lr: 1.0000e-04 eta: 12:49:30 time: 0.2998 data_time: 0.0247 memory: 8198 grad_norm: 7.1544 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9051 loss: 0.9051 2022/08/03 16:11:03 - mmengine - INFO - Epoch(train) [170][1400/1879] lr: 1.0000e-04 eta: 12:49:24 time: 0.2846 data_time: 0.0223 memory: 8198 grad_norm: 7.1703 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0240 loss: 1.0240 2022/08/03 16:11:09 - mmengine - INFO - Epoch(train) [170][1420/1879] lr: 1.0000e-04 eta: 12:49:19 time: 0.2864 data_time: 0.0263 memory: 8198 grad_norm: 6.7414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/08/03 16:11:15 - mmengine - INFO - Epoch(train) [170][1440/1879] lr: 1.0000e-04 eta: 12:49:13 time: 0.2981 data_time: 0.0243 memory: 8198 grad_norm: 6.9736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/08/03 16:11:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:11:21 - mmengine - INFO - Epoch(train) [170][1460/1879] lr: 1.0000e-04 eta: 12:49:07 time: 0.2846 data_time: 0.0197 memory: 8198 grad_norm: 6.8177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0155 loss: 1.0155 2022/08/03 16:11:26 - mmengine - INFO - Epoch(train) [170][1480/1879] lr: 1.0000e-04 eta: 12:49:02 time: 0.2867 data_time: 0.0249 memory: 8198 grad_norm: 6.9143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/08/03 16:11:32 - mmengine - INFO - Epoch(train) [170][1500/1879] lr: 1.0000e-04 eta: 12:48:56 time: 0.2887 data_time: 0.0199 memory: 8198 grad_norm: 7.2332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1040 loss: 1.1040 2022/08/03 16:11:38 - mmengine - INFO - Epoch(train) [170][1520/1879] lr: 1.0000e-04 eta: 12:48:50 time: 0.2834 data_time: 0.0219 memory: 8198 grad_norm: 7.0774 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9826 loss: 0.9826 2022/08/03 16:11:44 - mmengine - INFO - Epoch(train) [170][1540/1879] lr: 1.0000e-04 eta: 12:48:45 time: 0.2900 data_time: 0.0213 memory: 8198 grad_norm: 7.0610 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0738 loss: 1.0738 2022/08/03 16:11:49 - mmengine - INFO - Epoch(train) [170][1560/1879] lr: 1.0000e-04 eta: 12:48:39 time: 0.2826 data_time: 0.0249 memory: 8198 grad_norm: 7.0996 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/08/03 16:11:55 - mmengine - INFO - Epoch(train) [170][1580/1879] lr: 1.0000e-04 eta: 12:48:33 time: 0.2916 data_time: 0.0227 memory: 8198 grad_norm: 6.8693 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1157 loss: 1.1157 2022/08/03 16:12:01 - mmengine - INFO - Epoch(train) [170][1600/1879] lr: 1.0000e-04 eta: 12:48:28 time: 0.2847 data_time: 0.0223 memory: 8198 grad_norm: 6.9211 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/08/03 16:12:07 - mmengine - INFO - Epoch(train) [170][1620/1879] lr: 1.0000e-04 eta: 12:48:22 time: 0.2863 data_time: 0.0191 memory: 8198 grad_norm: 6.9742 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9483 loss: 0.9483 2022/08/03 16:12:12 - mmengine - INFO - Epoch(train) [170][1640/1879] lr: 1.0000e-04 eta: 12:48:16 time: 0.2884 data_time: 0.0236 memory: 8198 grad_norm: 7.1835 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0029 loss: 1.0029 2022/08/03 16:12:18 - mmengine - INFO - Epoch(train) [170][1660/1879] lr: 1.0000e-04 eta: 12:48:10 time: 0.2859 data_time: 0.0256 memory: 8198 grad_norm: 7.0199 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0012 loss: 1.0012 2022/08/03 16:12:24 - mmengine - INFO - Epoch(train) [170][1680/1879] lr: 1.0000e-04 eta: 12:48:05 time: 0.2886 data_time: 0.0302 memory: 8198 grad_norm: 6.9846 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0783 loss: 1.0783 2022/08/03 16:12:30 - mmengine - INFO - Epoch(train) [170][1700/1879] lr: 1.0000e-04 eta: 12:47:59 time: 0.2841 data_time: 0.0188 memory: 8198 grad_norm: 7.0979 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0868 loss: 1.0868 2022/08/03 16:12:36 - mmengine - INFO - Epoch(train) [170][1720/1879] lr: 1.0000e-04 eta: 12:47:54 time: 0.2975 data_time: 0.0237 memory: 8198 grad_norm: 6.9949 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0332 loss: 1.0332 2022/08/03 16:12:41 - mmengine - INFO - Epoch(train) [170][1740/1879] lr: 1.0000e-04 eta: 12:47:48 time: 0.2826 data_time: 0.0211 memory: 8198 grad_norm: 7.0691 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1199 loss: 1.1199 2022/08/03 16:12:47 - mmengine - INFO - Epoch(train) [170][1760/1879] lr: 1.0000e-04 eta: 12:47:42 time: 0.2865 data_time: 0.0256 memory: 8198 grad_norm: 7.0861 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0521 loss: 1.0521 2022/08/03 16:12:53 - mmengine - INFO - Epoch(train) [170][1780/1879] lr: 1.0000e-04 eta: 12:47:37 time: 0.2925 data_time: 0.0235 memory: 8198 grad_norm: 6.8902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0090 loss: 1.0090 2022/08/03 16:12:59 - mmengine - INFO - Epoch(train) [170][1800/1879] lr: 1.0000e-04 eta: 12:47:31 time: 0.2841 data_time: 0.0204 memory: 8198 grad_norm: 7.0776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0270 loss: 1.0270 2022/08/03 16:13:04 - mmengine - INFO - Epoch(train) [170][1820/1879] lr: 1.0000e-04 eta: 12:47:25 time: 0.2849 data_time: 0.0208 memory: 8198 grad_norm: 7.0512 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1103 loss: 1.1103 2022/08/03 16:13:10 - mmengine - INFO - Epoch(train) [170][1840/1879] lr: 1.0000e-04 eta: 12:47:19 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 6.8975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9111 loss: 0.9111 2022/08/03 16:13:16 - mmengine - INFO - Epoch(train) [170][1860/1879] lr: 1.0000e-04 eta: 12:47:14 time: 0.2839 data_time: 0.0203 memory: 8198 grad_norm: 7.1526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0250 loss: 1.0250 2022/08/03 16:13:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:13:21 - mmengine - INFO - Epoch(train) [170][1879/1879] lr: 1.0000e-04 eta: 12:47:14 time: 0.2576 data_time: 0.0142 memory: 8198 grad_norm: 7.3202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9518 loss: 0.9518 2022/08/03 16:13:27 - mmengine - INFO - Epoch(val) [170][20/155] eta: 0:00:43 time: 0.3232 data_time: 0.2336 memory: 1514 2022/08/03 16:13:32 - mmengine - INFO - Epoch(val) [170][40/155] eta: 0:00:27 time: 0.2356 data_time: 0.1470 memory: 1514 2022/08/03 16:13:38 - mmengine - INFO - Epoch(val) [170][60/155] eta: 0:00:26 time: 0.2806 data_time: 0.1944 memory: 1514 2022/08/03 16:13:42 - mmengine - INFO - Epoch(val) [170][80/155] eta: 0:00:17 time: 0.2393 data_time: 0.1519 memory: 1514 2022/08/03 16:13:48 - mmengine - INFO - Epoch(val) [170][100/155] eta: 0:00:16 time: 0.2984 data_time: 0.2122 memory: 1514 2022/08/03 16:13:53 - mmengine - INFO - Epoch(val) [170][120/155] eta: 0:00:08 time: 0.2438 data_time: 0.1538 memory: 1514 2022/08/03 16:13:59 - mmengine - INFO - Epoch(val) [170][140/155] eta: 0:00:04 time: 0.3075 data_time: 0.2210 memory: 1514 2022/08/03 16:14:04 - mmengine - INFO - Epoch(val) [170][155/155] acc/top1: 0.6798 acc/top5: 0.8685 acc/mean1: 0.6797 2022/08/03 16:14:13 - mmengine - INFO - Epoch(train) [171][20/1879] lr: 1.0000e-04 eta: 12:47:01 time: 0.4144 data_time: 0.1143 memory: 8198 grad_norm: 7.2655 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1003 loss: 1.1003 2022/08/03 16:14:18 - mmengine - INFO - Epoch(train) [171][40/1879] lr: 1.0000e-04 eta: 12:46:56 time: 0.2885 data_time: 0.0254 memory: 8198 grad_norm: 7.0974 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9812 loss: 0.9812 2022/08/03 16:14:24 - mmengine - INFO - Epoch(train) [171][60/1879] lr: 1.0000e-04 eta: 12:46:50 time: 0.2921 data_time: 0.0215 memory: 8198 grad_norm: 7.0185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/03 16:14:30 - mmengine - INFO - Epoch(train) [171][80/1879] lr: 1.0000e-04 eta: 12:46:44 time: 0.2873 data_time: 0.0220 memory: 8198 grad_norm: 7.0973 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0922 loss: 1.0922 2022/08/03 16:14:36 - mmengine - INFO - Epoch(train) [171][100/1879] lr: 1.0000e-04 eta: 12:46:39 time: 0.2903 data_time: 0.0243 memory: 8198 grad_norm: 6.7691 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9910 loss: 0.9910 2022/08/03 16:14:42 - mmengine - INFO - Epoch(train) [171][120/1879] lr: 1.0000e-04 eta: 12:46:33 time: 0.3047 data_time: 0.0429 memory: 8198 grad_norm: 7.2665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1483 loss: 1.1483 2022/08/03 16:14:48 - mmengine - INFO - Epoch(train) [171][140/1879] lr: 1.0000e-04 eta: 12:46:27 time: 0.2818 data_time: 0.0221 memory: 8198 grad_norm: 6.8429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/08/03 16:14:53 - mmengine - INFO - Epoch(train) [171][160/1879] lr: 1.0000e-04 eta: 12:46:22 time: 0.2897 data_time: 0.0208 memory: 8198 grad_norm: 6.8576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0224 loss: 1.0224 2022/08/03 16:14:59 - mmengine - INFO - Epoch(train) [171][180/1879] lr: 1.0000e-04 eta: 12:46:16 time: 0.2836 data_time: 0.0201 memory: 8198 grad_norm: 6.9482 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/03 16:15:05 - mmengine - INFO - Epoch(train) [171][200/1879] lr: 1.0000e-04 eta: 12:46:10 time: 0.2846 data_time: 0.0204 memory: 8198 grad_norm: 6.8216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8008 loss: 0.8008 2022/08/03 16:15:11 - mmengine - INFO - Epoch(train) [171][220/1879] lr: 1.0000e-04 eta: 12:46:05 time: 0.2862 data_time: 0.0228 memory: 8198 grad_norm: 6.9923 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/03 16:15:16 - mmengine - INFO - Epoch(train) [171][240/1879] lr: 1.0000e-04 eta: 12:45:59 time: 0.2862 data_time: 0.0205 memory: 8198 grad_norm: 7.1016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9386 loss: 0.9386 2022/08/03 16:15:22 - mmengine - INFO - Epoch(train) [171][260/1879] lr: 1.0000e-04 eta: 12:45:53 time: 0.2868 data_time: 0.0223 memory: 8198 grad_norm: 6.9655 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8088 loss: 0.8088 2022/08/03 16:15:28 - mmengine - INFO - Epoch(train) [171][280/1879] lr: 1.0000e-04 eta: 12:45:48 time: 0.2832 data_time: 0.0165 memory: 8198 grad_norm: 7.1083 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/08/03 16:15:34 - mmengine - INFO - Epoch(train) [171][300/1879] lr: 1.0000e-04 eta: 12:45:42 time: 0.2939 data_time: 0.0227 memory: 8198 grad_norm: 7.0153 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9204 loss: 0.9204 2022/08/03 16:15:39 - mmengine - INFO - Epoch(train) [171][320/1879] lr: 1.0000e-04 eta: 12:45:36 time: 0.2842 data_time: 0.0196 memory: 8198 grad_norm: 7.0018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0504 loss: 1.0504 2022/08/03 16:15:45 - mmengine - INFO - Epoch(train) [171][340/1879] lr: 1.0000e-04 eta: 12:45:31 time: 0.2880 data_time: 0.0229 memory: 8198 grad_norm: 7.2393 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0978 loss: 1.0978 2022/08/03 16:15:51 - mmengine - INFO - Epoch(train) [171][360/1879] lr: 1.0000e-04 eta: 12:45:25 time: 0.2825 data_time: 0.0239 memory: 8198 grad_norm: 6.8803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9822 loss: 0.9822 2022/08/03 16:15:57 - mmengine - INFO - Epoch(train) [171][380/1879] lr: 1.0000e-04 eta: 12:45:19 time: 0.2928 data_time: 0.0234 memory: 8198 grad_norm: 7.0287 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9754 loss: 0.9754 2022/08/03 16:16:03 - mmengine - INFO - Epoch(train) [171][400/1879] lr: 1.0000e-04 eta: 12:45:14 time: 0.2899 data_time: 0.0234 memory: 8198 grad_norm: 6.8990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/08/03 16:16:08 - mmengine - INFO - Epoch(train) [171][420/1879] lr: 1.0000e-04 eta: 12:45:08 time: 0.2833 data_time: 0.0242 memory: 8198 grad_norm: 6.9157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8978 loss: 0.8978 2022/08/03 16:16:14 - mmengine - INFO - Epoch(train) [171][440/1879] lr: 1.0000e-04 eta: 12:45:02 time: 0.2876 data_time: 0.0177 memory: 8198 grad_norm: 7.0240 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9430 loss: 0.9430 2022/08/03 16:16:20 - mmengine - INFO - Epoch(train) [171][460/1879] lr: 1.0000e-04 eta: 12:44:57 time: 0.2848 data_time: 0.0247 memory: 8198 grad_norm: 6.8841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/08/03 16:16:26 - mmengine - INFO - Epoch(train) [171][480/1879] lr: 1.0000e-04 eta: 12:44:51 time: 0.2870 data_time: 0.0201 memory: 8198 grad_norm: 7.0057 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1635 loss: 1.1635 2022/08/03 16:16:31 - mmengine - INFO - Epoch(train) [171][500/1879] lr: 1.0000e-04 eta: 12:44:45 time: 0.2856 data_time: 0.0194 memory: 8198 grad_norm: 7.0608 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0533 loss: 1.0533 2022/08/03 16:16:37 - mmengine - INFO - Epoch(train) [171][520/1879] lr: 1.0000e-04 eta: 12:44:40 time: 0.2938 data_time: 0.0238 memory: 8198 grad_norm: 6.9401 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9844 loss: 0.9844 2022/08/03 16:16:43 - mmengine - INFO - Epoch(train) [171][540/1879] lr: 1.0000e-04 eta: 12:44:34 time: 0.2869 data_time: 0.0195 memory: 8198 grad_norm: 6.9695 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9385 loss: 0.9385 2022/08/03 16:16:49 - mmengine - INFO - Epoch(train) [171][560/1879] lr: 1.0000e-04 eta: 12:44:28 time: 0.2860 data_time: 0.0247 memory: 8198 grad_norm: 7.2080 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8730 loss: 0.8730 2022/08/03 16:16:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:16:54 - mmengine - INFO - Epoch(train) [171][580/1879] lr: 1.0000e-04 eta: 12:44:23 time: 0.2884 data_time: 0.0180 memory: 8198 grad_norm: 6.9016 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9307 loss: 0.9307 2022/08/03 16:17:00 - mmengine - INFO - Epoch(train) [171][600/1879] lr: 1.0000e-04 eta: 12:44:17 time: 0.2964 data_time: 0.0196 memory: 8198 grad_norm: 6.6848 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9225 loss: 0.9225 2022/08/03 16:17:06 - mmengine - INFO - Epoch(train) [171][620/1879] lr: 1.0000e-04 eta: 12:44:11 time: 0.2865 data_time: 0.0230 memory: 8198 grad_norm: 6.9824 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9158 loss: 0.9158 2022/08/03 16:17:12 - mmengine - INFO - Epoch(train) [171][640/1879] lr: 1.0000e-04 eta: 12:44:06 time: 0.2846 data_time: 0.0213 memory: 8198 grad_norm: 7.0939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0687 loss: 1.0687 2022/08/03 16:17:18 - mmengine - INFO - Epoch(train) [171][660/1879] lr: 1.0000e-04 eta: 12:44:00 time: 0.2856 data_time: 0.0201 memory: 8198 grad_norm: 7.1222 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0989 loss: 1.0989 2022/08/03 16:17:23 - mmengine - INFO - Epoch(train) [171][680/1879] lr: 1.0000e-04 eta: 12:43:54 time: 0.2858 data_time: 0.0253 memory: 8198 grad_norm: 7.0302 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9588 loss: 0.9588 2022/08/03 16:17:29 - mmengine - INFO - Epoch(train) [171][700/1879] lr: 1.0000e-04 eta: 12:43:49 time: 0.2875 data_time: 0.0174 memory: 8198 grad_norm: 6.8122 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0197 loss: 1.0197 2022/08/03 16:17:35 - mmengine - INFO - Epoch(train) [171][720/1879] lr: 1.0000e-04 eta: 12:43:43 time: 0.3011 data_time: 0.0209 memory: 8198 grad_norm: 6.9256 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.0038 loss: 1.0038 2022/08/03 16:17:41 - mmengine - INFO - Epoch(train) [171][740/1879] lr: 1.0000e-04 eta: 12:43:37 time: 0.2846 data_time: 0.0259 memory: 8198 grad_norm: 7.2275 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0853 loss: 1.0853 2022/08/03 16:17:47 - mmengine - INFO - Epoch(train) [171][760/1879] lr: 1.0000e-04 eta: 12:43:32 time: 0.2853 data_time: 0.0226 memory: 8198 grad_norm: 6.7937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0001 loss: 1.0001 2022/08/03 16:17:52 - mmengine - INFO - Epoch(train) [171][780/1879] lr: 1.0000e-04 eta: 12:43:26 time: 0.2843 data_time: 0.0294 memory: 8198 grad_norm: 7.0975 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1293 loss: 1.1293 2022/08/03 16:17:58 - mmengine - INFO - Epoch(train) [171][800/1879] lr: 1.0000e-04 eta: 12:43:20 time: 0.3027 data_time: 0.0210 memory: 8198 grad_norm: 6.8630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9198 loss: 0.9198 2022/08/03 16:18:04 - mmengine - INFO - Epoch(train) [171][820/1879] lr: 1.0000e-04 eta: 12:43:15 time: 0.2854 data_time: 0.0236 memory: 8198 grad_norm: 6.8488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8862 loss: 0.8862 2022/08/03 16:18:10 - mmengine - INFO - Epoch(train) [171][840/1879] lr: 1.0000e-04 eta: 12:43:09 time: 0.2838 data_time: 0.0221 memory: 8198 grad_norm: 6.8420 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9625 loss: 0.9625 2022/08/03 16:18:16 - mmengine - INFO - Epoch(train) [171][860/1879] lr: 1.0000e-04 eta: 12:43:04 time: 0.3234 data_time: 0.0262 memory: 8198 grad_norm: 6.8452 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8740 loss: 0.8740 2022/08/03 16:18:22 - mmengine - INFO - Epoch(train) [171][880/1879] lr: 1.0000e-04 eta: 12:42:58 time: 0.2856 data_time: 0.0233 memory: 8198 grad_norm: 7.1224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0736 loss: 1.0736 2022/08/03 16:18:28 - mmengine - INFO - Epoch(train) [171][900/1879] lr: 1.0000e-04 eta: 12:42:52 time: 0.2875 data_time: 0.0201 memory: 8198 grad_norm: 7.0365 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1522 loss: 1.1522 2022/08/03 16:18:34 - mmengine - INFO - Epoch(train) [171][920/1879] lr: 1.0000e-04 eta: 12:42:47 time: 0.3030 data_time: 0.0228 memory: 8198 grad_norm: 7.2911 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/08/03 16:18:40 - mmengine - INFO - Epoch(train) [171][940/1879] lr: 1.0000e-04 eta: 12:42:41 time: 0.2833 data_time: 0.0268 memory: 8198 grad_norm: 7.0610 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9799 loss: 0.9799 2022/08/03 16:18:45 - mmengine - INFO - Epoch(train) [171][960/1879] lr: 1.0000e-04 eta: 12:42:35 time: 0.2876 data_time: 0.0234 memory: 8198 grad_norm: 7.0037 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0666 loss: 1.0666 2022/08/03 16:18:51 - mmengine - INFO - Epoch(train) [171][980/1879] lr: 1.0000e-04 eta: 12:42:30 time: 0.2924 data_time: 0.0182 memory: 8198 grad_norm: 7.3135 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1275 loss: 1.1275 2022/08/03 16:18:57 - mmengine - INFO - Epoch(train) [171][1000/1879] lr: 1.0000e-04 eta: 12:42:24 time: 0.2846 data_time: 0.0178 memory: 8198 grad_norm: 6.7760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9719 loss: 0.9719 2022/08/03 16:19:03 - mmengine - INFO - Epoch(train) [171][1020/1879] lr: 1.0000e-04 eta: 12:42:18 time: 0.2846 data_time: 0.0219 memory: 8198 grad_norm: 7.1598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0439 loss: 1.0439 2022/08/03 16:19:08 - mmengine - INFO - Epoch(train) [171][1040/1879] lr: 1.0000e-04 eta: 12:42:13 time: 0.2842 data_time: 0.0251 memory: 8198 grad_norm: 7.2807 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8789 loss: 0.8789 2022/08/03 16:19:14 - mmengine - INFO - Epoch(train) [171][1060/1879] lr: 1.0000e-04 eta: 12:42:07 time: 0.2934 data_time: 0.0243 memory: 8198 grad_norm: 7.1577 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0476 loss: 1.0476 2022/08/03 16:19:20 - mmengine - INFO - Epoch(train) [171][1080/1879] lr: 1.0000e-04 eta: 12:42:01 time: 0.2814 data_time: 0.0193 memory: 8198 grad_norm: 7.0824 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0187 loss: 1.0187 2022/08/03 16:19:26 - mmengine - INFO - Epoch(train) [171][1100/1879] lr: 1.0000e-04 eta: 12:41:56 time: 0.2876 data_time: 0.0202 memory: 8198 grad_norm: 7.0080 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0478 loss: 1.0478 2022/08/03 16:19:32 - mmengine - INFO - Epoch(train) [171][1120/1879] lr: 1.0000e-04 eta: 12:41:50 time: 0.2936 data_time: 0.0217 memory: 8198 grad_norm: 7.2254 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2082 loss: 1.2082 2022/08/03 16:19:37 - mmengine - INFO - Epoch(train) [171][1140/1879] lr: 1.0000e-04 eta: 12:41:44 time: 0.2840 data_time: 0.0198 memory: 8198 grad_norm: 6.9171 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/08/03 16:19:43 - mmengine - INFO - Epoch(train) [171][1160/1879] lr: 1.0000e-04 eta: 12:41:39 time: 0.2876 data_time: 0.0237 memory: 8198 grad_norm: 7.1291 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9124 loss: 0.9124 2022/08/03 16:19:49 - mmengine - INFO - Epoch(train) [171][1180/1879] lr: 1.0000e-04 eta: 12:41:33 time: 0.2972 data_time: 0.0194 memory: 8198 grad_norm: 6.8915 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9049 loss: 0.9049 2022/08/03 16:19:55 - mmengine - INFO - Epoch(train) [171][1200/1879] lr: 1.0000e-04 eta: 12:41:28 time: 0.2970 data_time: 0.0185 memory: 8198 grad_norm: 6.9826 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9574 loss: 0.9574 2022/08/03 16:20:01 - mmengine - INFO - Epoch(train) [171][1220/1879] lr: 1.0000e-04 eta: 12:41:22 time: 0.2840 data_time: 0.0237 memory: 8198 grad_norm: 6.7976 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8177 loss: 0.8177 2022/08/03 16:20:07 - mmengine - INFO - Epoch(train) [171][1240/1879] lr: 1.0000e-04 eta: 12:41:16 time: 0.2906 data_time: 0.0223 memory: 8198 grad_norm: 7.1759 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9642 loss: 0.9642 2022/08/03 16:20:12 - mmengine - INFO - Epoch(train) [171][1260/1879] lr: 1.0000e-04 eta: 12:41:11 time: 0.2842 data_time: 0.0235 memory: 8198 grad_norm: 7.1250 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0728 loss: 1.0728 2022/08/03 16:20:18 - mmengine - INFO - Epoch(train) [171][1280/1879] lr: 1.0000e-04 eta: 12:41:05 time: 0.2840 data_time: 0.0219 memory: 8198 grad_norm: 7.0878 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9428 loss: 0.9428 2022/08/03 16:20:24 - mmengine - INFO - Epoch(train) [171][1300/1879] lr: 1.0000e-04 eta: 12:40:59 time: 0.2881 data_time: 0.0259 memory: 8198 grad_norm: 7.1497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/08/03 16:20:30 - mmengine - INFO - Epoch(train) [171][1320/1879] lr: 1.0000e-04 eta: 12:40:53 time: 0.2837 data_time: 0.0187 memory: 8198 grad_norm: 7.1956 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9636 loss: 0.9636 2022/08/03 16:20:35 - mmengine - INFO - Epoch(train) [171][1340/1879] lr: 1.0000e-04 eta: 12:40:48 time: 0.2933 data_time: 0.0206 memory: 8198 grad_norm: 6.8922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9868 loss: 0.9868 2022/08/03 16:20:41 - mmengine - INFO - Epoch(train) [171][1360/1879] lr: 1.0000e-04 eta: 12:40:42 time: 0.2882 data_time: 0.0236 memory: 8198 grad_norm: 6.9023 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1677 loss: 1.1677 2022/08/03 16:20:47 - mmengine - INFO - Epoch(train) [171][1380/1879] lr: 1.0000e-04 eta: 12:40:36 time: 0.2869 data_time: 0.0222 memory: 8198 grad_norm: 7.1295 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0466 loss: 1.0466 2022/08/03 16:20:53 - mmengine - INFO - Epoch(train) [171][1400/1879] lr: 1.0000e-04 eta: 12:40:31 time: 0.2851 data_time: 0.0253 memory: 8198 grad_norm: 7.3527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1092 loss: 1.1092 2022/08/03 16:20:59 - mmengine - INFO - Epoch(train) [171][1420/1879] lr: 1.0000e-04 eta: 12:40:25 time: 0.2921 data_time: 0.0182 memory: 8198 grad_norm: 6.8602 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9621 loss: 0.9621 2022/08/03 16:21:04 - mmengine - INFO - Epoch(train) [171][1440/1879] lr: 1.0000e-04 eta: 12:40:20 time: 0.2908 data_time: 0.0256 memory: 8198 grad_norm: 6.9570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9554 loss: 0.9554 2022/08/03 16:21:10 - mmengine - INFO - Epoch(train) [171][1460/1879] lr: 1.0000e-04 eta: 12:40:14 time: 0.2847 data_time: 0.0211 memory: 8198 grad_norm: 6.9039 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0748 loss: 1.0748 2022/08/03 16:21:16 - mmengine - INFO - Epoch(train) [171][1480/1879] lr: 1.0000e-04 eta: 12:40:08 time: 0.2850 data_time: 0.0232 memory: 8198 grad_norm: 6.8706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1631 loss: 1.1631 2022/08/03 16:21:22 - mmengine - INFO - Epoch(train) [171][1500/1879] lr: 1.0000e-04 eta: 12:40:03 time: 0.2954 data_time: 0.0233 memory: 8198 grad_norm: 6.8291 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9458 loss: 0.9458 2022/08/03 16:21:27 - mmengine - INFO - Epoch(train) [171][1520/1879] lr: 1.0000e-04 eta: 12:39:57 time: 0.2821 data_time: 0.0189 memory: 8198 grad_norm: 6.8880 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8544 loss: 0.8544 2022/08/03 16:21:33 - mmengine - INFO - Epoch(train) [171][1540/1879] lr: 1.0000e-04 eta: 12:39:51 time: 0.2977 data_time: 0.0294 memory: 8198 grad_norm: 7.0667 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0561 loss: 1.0561 2022/08/03 16:21:39 - mmengine - INFO - Epoch(train) [171][1560/1879] lr: 1.0000e-04 eta: 12:39:46 time: 0.2849 data_time: 0.0192 memory: 8198 grad_norm: 6.7571 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9686 loss: 0.9686 2022/08/03 16:21:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:21:45 - mmengine - INFO - Epoch(train) [171][1580/1879] lr: 1.0000e-04 eta: 12:39:40 time: 0.2898 data_time: 0.0224 memory: 8198 grad_norm: 7.1939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/08/03 16:21:51 - mmengine - INFO - Epoch(train) [171][1600/1879] lr: 1.0000e-04 eta: 12:39:34 time: 0.2843 data_time: 0.0190 memory: 8198 grad_norm: 6.9700 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0705 loss: 1.0705 2022/08/03 16:21:56 - mmengine - INFO - Epoch(train) [171][1620/1879] lr: 1.0000e-04 eta: 12:39:29 time: 0.2902 data_time: 0.0251 memory: 8198 grad_norm: 6.9282 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/08/03 16:22:02 - mmengine - INFO - Epoch(train) [171][1640/1879] lr: 1.0000e-04 eta: 12:39:23 time: 0.2826 data_time: 0.0183 memory: 8198 grad_norm: 6.9834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7626 loss: 0.7626 2022/08/03 16:22:08 - mmengine - INFO - Epoch(train) [171][1660/1879] lr: 1.0000e-04 eta: 12:39:17 time: 0.2917 data_time: 0.0210 memory: 8198 grad_norm: 7.1324 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9617 loss: 0.9617 2022/08/03 16:22:14 - mmengine - INFO - Epoch(train) [171][1680/1879] lr: 1.0000e-04 eta: 12:39:12 time: 0.2874 data_time: 0.0263 memory: 8198 grad_norm: 6.8852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9458 loss: 0.9458 2022/08/03 16:22:19 - mmengine - INFO - Epoch(train) [171][1700/1879] lr: 1.0000e-04 eta: 12:39:06 time: 0.2837 data_time: 0.0199 memory: 8198 grad_norm: 7.1904 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9578 loss: 0.9578 2022/08/03 16:22:25 - mmengine - INFO - Epoch(train) [171][1720/1879] lr: 1.0000e-04 eta: 12:39:00 time: 0.2868 data_time: 0.0211 memory: 8198 grad_norm: 6.9419 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9746 loss: 0.9746 2022/08/03 16:22:31 - mmengine - INFO - Epoch(train) [171][1740/1879] lr: 1.0000e-04 eta: 12:38:54 time: 0.2874 data_time: 0.0199 memory: 8198 grad_norm: 7.0255 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9206 loss: 0.9206 2022/08/03 16:22:37 - mmengine - INFO - Epoch(train) [171][1760/1879] lr: 1.0000e-04 eta: 12:38:49 time: 0.2934 data_time: 0.0257 memory: 8198 grad_norm: 6.8691 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9169 loss: 0.9169 2022/08/03 16:22:43 - mmengine - INFO - Epoch(train) [171][1780/1879] lr: 1.0000e-04 eta: 12:38:43 time: 0.2836 data_time: 0.0224 memory: 8198 grad_norm: 7.0613 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0068 loss: 1.0068 2022/08/03 16:22:48 - mmengine - INFO - Epoch(train) [171][1800/1879] lr: 1.0000e-04 eta: 12:38:38 time: 0.2919 data_time: 0.0197 memory: 8198 grad_norm: 7.1140 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9031 loss: 0.9031 2022/08/03 16:22:54 - mmengine - INFO - Epoch(train) [171][1820/1879] lr: 1.0000e-04 eta: 12:38:32 time: 0.2833 data_time: 0.0217 memory: 8198 grad_norm: 7.1604 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/08/03 16:23:00 - mmengine - INFO - Epoch(train) [171][1840/1879] lr: 1.0000e-04 eta: 12:38:26 time: 0.2831 data_time: 0.0242 memory: 8198 grad_norm: 6.9874 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1584 loss: 1.1584 2022/08/03 16:23:06 - mmengine - INFO - Epoch(train) [171][1860/1879] lr: 1.0000e-04 eta: 12:38:20 time: 0.2897 data_time: 0.0244 memory: 8198 grad_norm: 7.0942 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1901 loss: 1.1901 2022/08/03 16:23:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:23:11 - mmengine - INFO - Epoch(train) [171][1879/1879] lr: 1.0000e-04 eta: 12:38:20 time: 0.2577 data_time: 0.0153 memory: 8198 grad_norm: 7.0494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/08/03 16:23:19 - mmengine - INFO - Epoch(train) [172][20/1879] lr: 1.0000e-04 eta: 12:38:08 time: 0.4066 data_time: 0.0899 memory: 8198 grad_norm: 7.1074 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0650 loss: 1.0650 2022/08/03 16:23:25 - mmengine - INFO - Epoch(train) [172][40/1879] lr: 1.0000e-04 eta: 12:38:02 time: 0.2895 data_time: 0.0180 memory: 8198 grad_norm: 6.8787 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7943 loss: 0.7943 2022/08/03 16:23:30 - mmengine - INFO - Epoch(train) [172][60/1879] lr: 1.0000e-04 eta: 12:37:57 time: 0.2876 data_time: 0.0273 memory: 8198 grad_norm: 6.8717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9531 loss: 0.9531 2022/08/03 16:23:36 - mmengine - INFO - Epoch(train) [172][80/1879] lr: 1.0000e-04 eta: 12:37:51 time: 0.3019 data_time: 0.0177 memory: 8198 grad_norm: 7.2147 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9679 loss: 0.9679 2022/08/03 16:23:42 - mmengine - INFO - Epoch(train) [172][100/1879] lr: 1.0000e-04 eta: 12:37:45 time: 0.2839 data_time: 0.0207 memory: 8198 grad_norm: 7.1440 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0973 loss: 1.0973 2022/08/03 16:23:48 - mmengine - INFO - Epoch(train) [172][120/1879] lr: 1.0000e-04 eta: 12:37:40 time: 0.2892 data_time: 0.0221 memory: 8198 grad_norm: 6.8073 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9238 loss: 0.9238 2022/08/03 16:23:54 - mmengine - INFO - Epoch(train) [172][140/1879] lr: 1.0000e-04 eta: 12:37:34 time: 0.2973 data_time: 0.0265 memory: 8198 grad_norm: 6.9210 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0674 loss: 1.0674 2022/08/03 16:24:00 - mmengine - INFO - Epoch(train) [172][160/1879] lr: 1.0000e-04 eta: 12:37:28 time: 0.2855 data_time: 0.0226 memory: 8198 grad_norm: 6.7393 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7690 loss: 0.7690 2022/08/03 16:24:05 - mmengine - INFO - Epoch(train) [172][180/1879] lr: 1.0000e-04 eta: 12:37:23 time: 0.2857 data_time: 0.0244 memory: 8198 grad_norm: 6.8816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0527 loss: 1.0527 2022/08/03 16:24:11 - mmengine - INFO - Epoch(train) [172][200/1879] lr: 1.0000e-04 eta: 12:37:17 time: 0.2851 data_time: 0.0283 memory: 8198 grad_norm: 7.0253 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0021 loss: 1.0021 2022/08/03 16:24:17 - mmengine - INFO - Epoch(train) [172][220/1879] lr: 1.0000e-04 eta: 12:37:11 time: 0.2917 data_time: 0.0211 memory: 8198 grad_norm: 6.9134 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/08/03 16:24:23 - mmengine - INFO - Epoch(train) [172][240/1879] lr: 1.0000e-04 eta: 12:37:06 time: 0.2837 data_time: 0.0190 memory: 8198 grad_norm: 6.8826 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0308 loss: 1.0308 2022/08/03 16:24:28 - mmengine - INFO - Epoch(train) [172][260/1879] lr: 1.0000e-04 eta: 12:37:00 time: 0.2901 data_time: 0.0191 memory: 8198 grad_norm: 6.8916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9533 loss: 0.9533 2022/08/03 16:24:34 - mmengine - INFO - Epoch(train) [172][280/1879] lr: 1.0000e-04 eta: 12:36:54 time: 0.2810 data_time: 0.0199 memory: 8198 grad_norm: 7.0521 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/08/03 16:24:40 - mmengine - INFO - Epoch(train) [172][300/1879] lr: 1.0000e-04 eta: 12:36:49 time: 0.2853 data_time: 0.0224 memory: 8198 grad_norm: 7.0613 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0332 loss: 1.0332 2022/08/03 16:24:46 - mmengine - INFO - Epoch(train) [172][320/1879] lr: 1.0000e-04 eta: 12:36:43 time: 0.3018 data_time: 0.0203 memory: 8198 grad_norm: 6.8854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9120 loss: 0.9120 2022/08/03 16:24:52 - mmengine - INFO - Epoch(train) [172][340/1879] lr: 1.0000e-04 eta: 12:36:37 time: 0.2810 data_time: 0.0207 memory: 8198 grad_norm: 6.9530 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/08/03 16:24:57 - mmengine - INFO - Epoch(train) [172][360/1879] lr: 1.0000e-04 eta: 12:36:32 time: 0.2847 data_time: 0.0239 memory: 8198 grad_norm: 6.9595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0049 loss: 1.0049 2022/08/03 16:25:03 - mmengine - INFO - Epoch(train) [172][380/1879] lr: 1.0000e-04 eta: 12:36:26 time: 0.2864 data_time: 0.0227 memory: 8198 grad_norm: 7.2651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0969 loss: 1.0969 2022/08/03 16:25:09 - mmengine - INFO - Epoch(train) [172][400/1879] lr: 1.0000e-04 eta: 12:36:20 time: 0.2946 data_time: 0.0314 memory: 8198 grad_norm: 7.0236 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9612 loss: 0.9612 2022/08/03 16:25:15 - mmengine - INFO - Epoch(train) [172][420/1879] lr: 1.0000e-04 eta: 12:36:15 time: 0.2830 data_time: 0.0198 memory: 8198 grad_norm: 6.9609 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/08/03 16:25:20 - mmengine - INFO - Epoch(train) [172][440/1879] lr: 1.0000e-04 eta: 12:36:09 time: 0.2853 data_time: 0.0234 memory: 8198 grad_norm: 7.0105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9690 loss: 0.9690 2022/08/03 16:25:26 - mmengine - INFO - Epoch(train) [172][460/1879] lr: 1.0000e-04 eta: 12:36:03 time: 0.2862 data_time: 0.0239 memory: 8198 grad_norm: 6.9290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8952 loss: 0.8952 2022/08/03 16:25:32 - mmengine - INFO - Epoch(train) [172][480/1879] lr: 1.0000e-04 eta: 12:35:58 time: 0.2833 data_time: 0.0209 memory: 8198 grad_norm: 7.0318 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0444 loss: 1.0444 2022/08/03 16:25:38 - mmengine - INFO - Epoch(train) [172][500/1879] lr: 1.0000e-04 eta: 12:35:52 time: 0.2862 data_time: 0.0262 memory: 8198 grad_norm: 7.1050 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1044 loss: 1.1044 2022/08/03 16:25:43 - mmengine - INFO - Epoch(train) [172][520/1879] lr: 1.0000e-04 eta: 12:35:46 time: 0.2923 data_time: 0.0192 memory: 8198 grad_norm: 7.2525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0129 loss: 1.0129 2022/08/03 16:25:50 - mmengine - INFO - Epoch(train) [172][540/1879] lr: 1.0000e-04 eta: 12:35:41 time: 0.3076 data_time: 0.0302 memory: 8198 grad_norm: 7.0758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9984 loss: 0.9984 2022/08/03 16:25:55 - mmengine - INFO - Epoch(train) [172][560/1879] lr: 1.0000e-04 eta: 12:35:35 time: 0.2822 data_time: 0.0220 memory: 8198 grad_norm: 7.1235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/08/03 16:26:01 - mmengine - INFO - Epoch(train) [172][580/1879] lr: 1.0000e-04 eta: 12:35:29 time: 0.2834 data_time: 0.0256 memory: 8198 grad_norm: 7.0618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8850 loss: 0.8850 2022/08/03 16:26:07 - mmengine - INFO - Epoch(train) [172][600/1879] lr: 1.0000e-04 eta: 12:35:24 time: 0.2993 data_time: 0.0194 memory: 8198 grad_norm: 6.6635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0706 loss: 1.0706 2022/08/03 16:26:13 - mmengine - INFO - Epoch(train) [172][620/1879] lr: 1.0000e-04 eta: 12:35:18 time: 0.2877 data_time: 0.0216 memory: 8198 grad_norm: 7.1889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9248 loss: 0.9248 2022/08/03 16:26:18 - mmengine - INFO - Epoch(train) [172][640/1879] lr: 1.0000e-04 eta: 12:35:12 time: 0.2860 data_time: 0.0196 memory: 8198 grad_norm: 7.1339 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0860 loss: 1.0860 2022/08/03 16:26:24 - mmengine - INFO - Epoch(train) [172][660/1879] lr: 1.0000e-04 eta: 12:35:07 time: 0.2936 data_time: 0.0215 memory: 8198 grad_norm: 7.1144 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9583 loss: 0.9583 2022/08/03 16:26:30 - mmengine - INFO - Epoch(train) [172][680/1879] lr: 1.0000e-04 eta: 12:35:01 time: 0.2871 data_time: 0.0218 memory: 8198 grad_norm: 6.9708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9071 loss: 0.9071 2022/08/03 16:26:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:26:36 - mmengine - INFO - Epoch(train) [172][700/1879] lr: 1.0000e-04 eta: 12:34:55 time: 0.2843 data_time: 0.0171 memory: 8198 grad_norm: 7.0171 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9858 loss: 0.9858 2022/08/03 16:26:42 - mmengine - INFO - Epoch(train) [172][720/1879] lr: 1.0000e-04 eta: 12:34:50 time: 0.2838 data_time: 0.0208 memory: 8198 grad_norm: 7.0965 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8898 loss: 0.8898 2022/08/03 16:26:48 - mmengine - INFO - Epoch(train) [172][740/1879] lr: 1.0000e-04 eta: 12:34:44 time: 0.3073 data_time: 0.0212 memory: 8198 grad_norm: 7.2472 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/08/03 16:26:53 - mmengine - INFO - Epoch(train) [172][760/1879] lr: 1.0000e-04 eta: 12:34:39 time: 0.2831 data_time: 0.0211 memory: 8198 grad_norm: 7.3099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1329 loss: 1.1329 2022/08/03 16:26:59 - mmengine - INFO - Epoch(train) [172][780/1879] lr: 1.0000e-04 eta: 12:34:33 time: 0.2847 data_time: 0.0223 memory: 8198 grad_norm: 6.9855 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9715 loss: 0.9715 2022/08/03 16:27:05 - mmengine - INFO - Epoch(train) [172][800/1879] lr: 1.0000e-04 eta: 12:34:27 time: 0.2927 data_time: 0.0244 memory: 8198 grad_norm: 6.8351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0678 loss: 1.0678 2022/08/03 16:27:11 - mmengine - INFO - Epoch(train) [172][820/1879] lr: 1.0000e-04 eta: 12:34:22 time: 0.2857 data_time: 0.0215 memory: 8198 grad_norm: 7.0869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0014 loss: 1.0014 2022/08/03 16:27:16 - mmengine - INFO - Epoch(train) [172][840/1879] lr: 1.0000e-04 eta: 12:34:16 time: 0.2861 data_time: 0.0195 memory: 8198 grad_norm: 7.1414 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7375 loss: 0.7375 2022/08/03 16:27:22 - mmengine - INFO - Epoch(train) [172][860/1879] lr: 1.0000e-04 eta: 12:34:10 time: 0.2875 data_time: 0.0267 memory: 8198 grad_norm: 7.1881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0726 loss: 1.0726 2022/08/03 16:27:28 - mmengine - INFO - Epoch(train) [172][880/1879] lr: 1.0000e-04 eta: 12:34:05 time: 0.3017 data_time: 0.0159 memory: 8198 grad_norm: 7.0584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0010 loss: 1.0010 2022/08/03 16:27:34 - mmengine - INFO - Epoch(train) [172][900/1879] lr: 1.0000e-04 eta: 12:33:59 time: 0.2870 data_time: 0.0250 memory: 8198 grad_norm: 6.9409 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0008 loss: 1.0008 2022/08/03 16:27:40 - mmengine - INFO - Epoch(train) [172][920/1879] lr: 1.0000e-04 eta: 12:33:53 time: 0.2861 data_time: 0.0187 memory: 8198 grad_norm: 7.2221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/08/03 16:27:46 - mmengine - INFO - Epoch(train) [172][940/1879] lr: 1.0000e-04 eta: 12:33:48 time: 0.2843 data_time: 0.0234 memory: 8198 grad_norm: 6.8792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0402 loss: 1.0402 2022/08/03 16:27:52 - mmengine - INFO - Epoch(train) [172][960/1879] lr: 1.0000e-04 eta: 12:33:42 time: 0.2984 data_time: 0.0254 memory: 8198 grad_norm: 7.0795 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0306 loss: 1.0306 2022/08/03 16:27:57 - mmengine - INFO - Epoch(train) [172][980/1879] lr: 1.0000e-04 eta: 12:33:36 time: 0.2818 data_time: 0.0205 memory: 8198 grad_norm: 6.8705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0471 loss: 1.0471 2022/08/03 16:28:03 - mmengine - INFO - Epoch(train) [172][1000/1879] lr: 1.0000e-04 eta: 12:33:31 time: 0.2818 data_time: 0.0199 memory: 8198 grad_norm: 6.8579 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7764 loss: 0.7764 2022/08/03 16:28:09 - mmengine - INFO - Epoch(train) [172][1020/1879] lr: 1.0000e-04 eta: 12:33:25 time: 0.3007 data_time: 0.0222 memory: 8198 grad_norm: 7.0109 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0578 loss: 1.0578 2022/08/03 16:28:15 - mmengine - INFO - Epoch(train) [172][1040/1879] lr: 1.0000e-04 eta: 12:33:19 time: 0.2926 data_time: 0.0245 memory: 8198 grad_norm: 6.8333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0382 loss: 1.0382 2022/08/03 16:28:20 - mmengine - INFO - Epoch(train) [172][1060/1879] lr: 1.0000e-04 eta: 12:33:14 time: 0.2836 data_time: 0.0224 memory: 8198 grad_norm: 6.8052 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/08/03 16:28:26 - mmengine - INFO - Epoch(train) [172][1080/1879] lr: 1.0000e-04 eta: 12:33:08 time: 0.2898 data_time: 0.0199 memory: 8198 grad_norm: 7.0701 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8561 loss: 0.8561 2022/08/03 16:28:32 - mmengine - INFO - Epoch(train) [172][1100/1879] lr: 1.0000e-04 eta: 12:33:02 time: 0.2843 data_time: 0.0246 memory: 8198 grad_norm: 6.7577 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9920 loss: 0.9920 2022/08/03 16:28:38 - mmengine - INFO - Epoch(train) [172][1120/1879] lr: 1.0000e-04 eta: 12:32:57 time: 0.2834 data_time: 0.0223 memory: 8198 grad_norm: 6.6391 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9858 loss: 0.9858 2022/08/03 16:28:43 - mmengine - INFO - Epoch(train) [172][1140/1879] lr: 1.0000e-04 eta: 12:32:51 time: 0.2851 data_time: 0.0185 memory: 8198 grad_norm: 7.0265 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0118 loss: 1.0118 2022/08/03 16:28:49 - mmengine - INFO - Epoch(train) [172][1160/1879] lr: 1.0000e-04 eta: 12:32:45 time: 0.2946 data_time: 0.0194 memory: 8198 grad_norm: 6.7046 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/03 16:28:55 - mmengine - INFO - Epoch(train) [172][1180/1879] lr: 1.0000e-04 eta: 12:32:40 time: 0.2845 data_time: 0.0212 memory: 8198 grad_norm: 7.0617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1531 loss: 1.1531 2022/08/03 16:29:01 - mmengine - INFO - Epoch(train) [172][1200/1879] lr: 1.0000e-04 eta: 12:32:34 time: 0.2837 data_time: 0.0277 memory: 8198 grad_norm: 6.9925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1406 loss: 1.1406 2022/08/03 16:29:07 - mmengine - INFO - Epoch(train) [172][1220/1879] lr: 1.0000e-04 eta: 12:32:28 time: 0.2995 data_time: 0.0310 memory: 8198 grad_norm: 7.0030 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8687 loss: 0.8687 2022/08/03 16:29:12 - mmengine - INFO - Epoch(train) [172][1240/1879] lr: 1.0000e-04 eta: 12:32:23 time: 0.2836 data_time: 0.0172 memory: 8198 grad_norm: 7.0662 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8700 loss: 0.8700 2022/08/03 16:29:18 - mmengine - INFO - Epoch(train) [172][1260/1879] lr: 1.0000e-04 eta: 12:32:17 time: 0.2823 data_time: 0.0198 memory: 8198 grad_norm: 7.0791 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1267 loss: 1.1267 2022/08/03 16:29:24 - mmengine - INFO - Epoch(train) [172][1280/1879] lr: 1.0000e-04 eta: 12:32:11 time: 0.2917 data_time: 0.0222 memory: 8198 grad_norm: 7.1932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/08/03 16:29:30 - mmengine - INFO - Epoch(train) [172][1300/1879] lr: 1.0000e-04 eta: 12:32:06 time: 0.2824 data_time: 0.0193 memory: 8198 grad_norm: 6.9483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/08/03 16:29:36 - mmengine - INFO - Epoch(train) [172][1320/1879] lr: 1.0000e-04 eta: 12:32:00 time: 0.2971 data_time: 0.0261 memory: 8198 grad_norm: 6.9325 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9514 loss: 0.9514 2022/08/03 16:29:41 - mmengine - INFO - Epoch(train) [172][1340/1879] lr: 1.0000e-04 eta: 12:31:54 time: 0.2828 data_time: 0.0240 memory: 8198 grad_norm: 6.9813 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/08/03 16:29:47 - mmengine - INFO - Epoch(train) [172][1360/1879] lr: 1.0000e-04 eta: 12:31:49 time: 0.3031 data_time: 0.0193 memory: 8198 grad_norm: 6.8107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9254 loss: 0.9254 2022/08/03 16:29:53 - mmengine - INFO - Epoch(train) [172][1380/1879] lr: 1.0000e-04 eta: 12:31:43 time: 0.2824 data_time: 0.0217 memory: 8198 grad_norm: 6.6754 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9815 loss: 0.9815 2022/08/03 16:29:59 - mmengine - INFO - Epoch(train) [172][1400/1879] lr: 1.0000e-04 eta: 12:31:37 time: 0.2913 data_time: 0.0312 memory: 8198 grad_norm: 7.1968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9087 loss: 0.9087 2022/08/03 16:30:05 - mmengine - INFO - Epoch(train) [172][1420/1879] lr: 1.0000e-04 eta: 12:31:32 time: 0.2930 data_time: 0.0231 memory: 8198 grad_norm: 6.8908 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0880 loss: 1.0880 2022/08/03 16:30:10 - mmengine - INFO - Epoch(train) [172][1440/1879] lr: 1.0000e-04 eta: 12:31:26 time: 0.2824 data_time: 0.0196 memory: 8198 grad_norm: 6.9567 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9420 loss: 0.9420 2022/08/03 16:30:16 - mmengine - INFO - Epoch(train) [172][1460/1879] lr: 1.0000e-04 eta: 12:31:20 time: 0.2880 data_time: 0.0260 memory: 8198 grad_norm: 7.1362 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0199 loss: 1.0199 2022/08/03 16:30:22 - mmengine - INFO - Epoch(train) [172][1480/1879] lr: 1.0000e-04 eta: 12:31:15 time: 0.2841 data_time: 0.0193 memory: 8198 grad_norm: 7.0894 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9480 loss: 0.9480 2022/08/03 16:30:28 - mmengine - INFO - Epoch(train) [172][1500/1879] lr: 1.0000e-04 eta: 12:31:09 time: 0.3145 data_time: 0.0254 memory: 8198 grad_norm: 6.9346 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9655 loss: 0.9655 2022/08/03 16:30:34 - mmengine - INFO - Epoch(train) [172][1520/1879] lr: 1.0000e-04 eta: 12:31:04 time: 0.2838 data_time: 0.0242 memory: 8198 grad_norm: 7.0057 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8472 loss: 0.8472 2022/08/03 16:30:40 - mmengine - INFO - Epoch(train) [172][1540/1879] lr: 1.0000e-04 eta: 12:30:58 time: 0.2895 data_time: 0.0273 memory: 8198 grad_norm: 6.9379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1134 loss: 1.1134 2022/08/03 16:30:46 - mmengine - INFO - Epoch(train) [172][1560/1879] lr: 1.0000e-04 eta: 12:30:52 time: 0.2936 data_time: 0.0215 memory: 8198 grad_norm: 7.0257 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0809 loss: 1.0809 2022/08/03 16:30:51 - mmengine - INFO - Epoch(train) [172][1580/1879] lr: 1.0000e-04 eta: 12:30:47 time: 0.2804 data_time: 0.0201 memory: 8198 grad_norm: 6.8352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0744 loss: 1.0744 2022/08/03 16:30:57 - mmengine - INFO - Epoch(train) [172][1600/1879] lr: 1.0000e-04 eta: 12:30:41 time: 0.2877 data_time: 0.0214 memory: 8198 grad_norm: 6.8917 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/03 16:31:03 - mmengine - INFO - Epoch(train) [172][1620/1879] lr: 1.0000e-04 eta: 12:30:35 time: 0.2872 data_time: 0.0224 memory: 8198 grad_norm: 6.9201 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9614 loss: 0.9614 2022/08/03 16:31:09 - mmengine - INFO - Epoch(train) [172][1640/1879] lr: 1.0000e-04 eta: 12:30:30 time: 0.3036 data_time: 0.0207 memory: 8198 grad_norm: 6.8193 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/08/03 16:31:15 - mmengine - INFO - Epoch(train) [172][1660/1879] lr: 1.0000e-04 eta: 12:30:24 time: 0.2841 data_time: 0.0221 memory: 8198 grad_norm: 7.1093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/08/03 16:31:20 - mmengine - INFO - Epoch(train) [172][1680/1879] lr: 1.0000e-04 eta: 12:30:18 time: 0.2851 data_time: 0.0223 memory: 8198 grad_norm: 7.0366 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9762 loss: 0.9762 2022/08/03 16:31:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:31:26 - mmengine - INFO - Epoch(train) [172][1700/1879] lr: 1.0000e-04 eta: 12:30:13 time: 0.3017 data_time: 0.0198 memory: 8198 grad_norm: 6.6156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/08/03 16:31:32 - mmengine - INFO - Epoch(train) [172][1720/1879] lr: 1.0000e-04 eta: 12:30:07 time: 0.2814 data_time: 0.0244 memory: 8198 grad_norm: 7.0271 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9685 loss: 0.9685 2022/08/03 16:31:38 - mmengine - INFO - Epoch(train) [172][1740/1879] lr: 1.0000e-04 eta: 12:30:01 time: 0.2871 data_time: 0.0207 memory: 8198 grad_norm: 7.0146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9074 loss: 0.9074 2022/08/03 16:31:44 - mmengine - INFO - Epoch(train) [172][1760/1879] lr: 1.0000e-04 eta: 12:29:56 time: 0.3103 data_time: 0.0202 memory: 8198 grad_norm: 6.9318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9634 loss: 0.9634 2022/08/03 16:31:50 - mmengine - INFO - Epoch(train) [172][1780/1879] lr: 1.0000e-04 eta: 12:29:50 time: 0.2869 data_time: 0.0235 memory: 8198 grad_norm: 7.2150 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2328 loss: 1.2328 2022/08/03 16:31:56 - mmengine - INFO - Epoch(train) [172][1800/1879] lr: 1.0000e-04 eta: 12:29:45 time: 0.2887 data_time: 0.0234 memory: 8198 grad_norm: 6.9607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9049 loss: 0.9049 2022/08/03 16:32:01 - mmengine - INFO - Epoch(train) [172][1820/1879] lr: 1.0000e-04 eta: 12:29:39 time: 0.2834 data_time: 0.0213 memory: 8198 grad_norm: 7.1254 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8266 loss: 0.8266 2022/08/03 16:32:07 - mmengine - INFO - Epoch(train) [172][1840/1879] lr: 1.0000e-04 eta: 12:29:33 time: 0.2867 data_time: 0.0237 memory: 8198 grad_norm: 6.7456 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9495 loss: 0.9495 2022/08/03 16:32:13 - mmengine - INFO - Epoch(train) [172][1860/1879] lr: 1.0000e-04 eta: 12:29:28 time: 0.2866 data_time: 0.0303 memory: 8198 grad_norm: 6.7630 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7952 loss: 0.7952 2022/08/03 16:32:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:32:18 - mmengine - INFO - Epoch(train) [172][1879/1879] lr: 1.0000e-04 eta: 12:29:28 time: 0.2717 data_time: 0.0150 memory: 8198 grad_norm: 7.1040 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7721 loss: 0.7721 2022/08/03 16:32:18 - mmengine - INFO - Saving checkpoint at 172 epochs 2022/08/03 16:32:29 - mmengine - INFO - Epoch(train) [173][20/1879] lr: 1.0000e-04 eta: 12:29:15 time: 0.4330 data_time: 0.1618 memory: 8198 grad_norm: 6.7977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0876 loss: 1.0876 2022/08/03 16:32:35 - mmengine - INFO - Epoch(train) [173][40/1879] lr: 1.0000e-04 eta: 12:29:10 time: 0.2933 data_time: 0.0250 memory: 8198 grad_norm: 6.9183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0198 loss: 1.0198 2022/08/03 16:32:40 - mmengine - INFO - Epoch(train) [173][60/1879] lr: 1.0000e-04 eta: 12:29:04 time: 0.2824 data_time: 0.0213 memory: 8198 grad_norm: 6.6726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9492 loss: 0.9492 2022/08/03 16:32:46 - mmengine - INFO - Epoch(train) [173][80/1879] lr: 1.0000e-04 eta: 12:28:58 time: 0.2836 data_time: 0.0255 memory: 8198 grad_norm: 7.0784 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0562 loss: 1.0562 2022/08/03 16:32:52 - mmengine - INFO - Epoch(train) [173][100/1879] lr: 1.0000e-04 eta: 12:28:53 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 7.0349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9053 loss: 0.9053 2022/08/03 16:32:58 - mmengine - INFO - Epoch(train) [173][120/1879] lr: 1.0000e-04 eta: 12:28:47 time: 0.3131 data_time: 0.0219 memory: 8198 grad_norm: 7.0188 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0007 loss: 1.0007 2022/08/03 16:33:04 - mmengine - INFO - Epoch(train) [173][140/1879] lr: 1.0000e-04 eta: 12:28:41 time: 0.2928 data_time: 0.0198 memory: 8198 grad_norm: 7.0809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0243 loss: 1.0243 2022/08/03 16:33:10 - mmengine - INFO - Epoch(train) [173][160/1879] lr: 1.0000e-04 eta: 12:28:36 time: 0.2828 data_time: 0.0235 memory: 8198 grad_norm: 7.1034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0433 loss: 1.0433 2022/08/03 16:33:16 - mmengine - INFO - Epoch(train) [173][180/1879] lr: 1.0000e-04 eta: 12:28:30 time: 0.2881 data_time: 0.0200 memory: 8198 grad_norm: 6.9890 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/03 16:33:21 - mmengine - INFO - Epoch(train) [173][200/1879] lr: 1.0000e-04 eta: 12:28:24 time: 0.2813 data_time: 0.0242 memory: 8198 grad_norm: 6.9130 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/08/03 16:33:27 - mmengine - INFO - Epoch(train) [173][220/1879] lr: 1.0000e-04 eta: 12:28:19 time: 0.2822 data_time: 0.0210 memory: 8198 grad_norm: 6.7687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0634 loss: 1.0634 2022/08/03 16:33:33 - mmengine - INFO - Epoch(train) [173][240/1879] lr: 1.0000e-04 eta: 12:28:13 time: 0.2846 data_time: 0.0211 memory: 8198 grad_norm: 6.9537 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.0324 loss: 1.0324 2022/08/03 16:33:39 - mmengine - INFO - Epoch(train) [173][260/1879] lr: 1.0000e-04 eta: 12:28:07 time: 0.3055 data_time: 0.0224 memory: 8198 grad_norm: 7.1581 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9254 loss: 0.9254 2022/08/03 16:33:45 - mmengine - INFO - Epoch(train) [173][280/1879] lr: 1.0000e-04 eta: 12:28:02 time: 0.2908 data_time: 0.0269 memory: 8198 grad_norm: 6.7422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8760 loss: 0.8760 2022/08/03 16:33:50 - mmengine - INFO - Epoch(train) [173][300/1879] lr: 1.0000e-04 eta: 12:27:56 time: 0.2853 data_time: 0.0248 memory: 8198 grad_norm: 7.1392 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8542 loss: 0.8542 2022/08/03 16:33:56 - mmengine - INFO - Epoch(train) [173][320/1879] lr: 1.0000e-04 eta: 12:27:50 time: 0.2926 data_time: 0.0250 memory: 8198 grad_norm: 6.9024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8875 loss: 0.8875 2022/08/03 16:34:02 - mmengine - INFO - Epoch(train) [173][340/1879] lr: 1.0000e-04 eta: 12:27:45 time: 0.2830 data_time: 0.0190 memory: 8198 grad_norm: 6.7940 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0985 loss: 1.0985 2022/08/03 16:34:08 - mmengine - INFO - Epoch(train) [173][360/1879] lr: 1.0000e-04 eta: 12:27:39 time: 0.2862 data_time: 0.0212 memory: 8198 grad_norm: 7.2336 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9053 loss: 0.9053 2022/08/03 16:34:13 - mmengine - INFO - Epoch(train) [173][380/1879] lr: 1.0000e-04 eta: 12:27:33 time: 0.2853 data_time: 0.0225 memory: 8198 grad_norm: 6.9998 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0799 loss: 1.0799 2022/08/03 16:34:19 - mmengine - INFO - Epoch(train) [173][400/1879] lr: 1.0000e-04 eta: 12:27:28 time: 0.3003 data_time: 0.0217 memory: 8198 grad_norm: 6.9769 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9348 loss: 0.9348 2022/08/03 16:34:25 - mmengine - INFO - Epoch(train) [173][420/1879] lr: 1.0000e-04 eta: 12:27:22 time: 0.2851 data_time: 0.0201 memory: 8198 grad_norm: 6.9943 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9937 loss: 0.9937 2022/08/03 16:34:31 - mmengine - INFO - Epoch(train) [173][440/1879] lr: 1.0000e-04 eta: 12:27:16 time: 0.2891 data_time: 0.0262 memory: 8198 grad_norm: 6.9278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0439 loss: 1.0439 2022/08/03 16:34:37 - mmengine - INFO - Epoch(train) [173][460/1879] lr: 1.0000e-04 eta: 12:27:11 time: 0.2897 data_time: 0.0197 memory: 8198 grad_norm: 6.8995 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1329 loss: 1.1329 2022/08/03 16:34:42 - mmengine - INFO - Epoch(train) [173][480/1879] lr: 1.0000e-04 eta: 12:27:05 time: 0.2865 data_time: 0.0281 memory: 8198 grad_norm: 6.9872 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9433 loss: 0.9433 2022/08/03 16:34:48 - mmengine - INFO - Epoch(train) [173][500/1879] lr: 1.0000e-04 eta: 12:27:00 time: 0.2886 data_time: 0.0251 memory: 8198 grad_norm: 6.8548 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8830 loss: 0.8830 2022/08/03 16:34:54 - mmengine - INFO - Epoch(train) [173][520/1879] lr: 1.0000e-04 eta: 12:26:54 time: 0.2832 data_time: 0.0176 memory: 8198 grad_norm: 6.9701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0187 loss: 1.0187 2022/08/03 16:35:00 - mmengine - INFO - Epoch(train) [173][540/1879] lr: 1.0000e-04 eta: 12:26:48 time: 0.2881 data_time: 0.0264 memory: 8198 grad_norm: 6.8716 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9535 loss: 0.9535 2022/08/03 16:35:06 - mmengine - INFO - Epoch(train) [173][560/1879] lr: 1.0000e-04 eta: 12:26:42 time: 0.2889 data_time: 0.0233 memory: 8198 grad_norm: 6.7822 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7947 loss: 0.7947 2022/08/03 16:35:11 - mmengine - INFO - Epoch(train) [173][580/1879] lr: 1.0000e-04 eta: 12:26:37 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 7.1866 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8996 loss: 0.8996 2022/08/03 16:35:17 - mmengine - INFO - Epoch(train) [173][600/1879] lr: 1.0000e-04 eta: 12:26:31 time: 0.2910 data_time: 0.0228 memory: 8198 grad_norm: 7.1011 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1738 loss: 1.1738 2022/08/03 16:35:23 - mmengine - INFO - Epoch(train) [173][620/1879] lr: 1.0000e-04 eta: 12:26:25 time: 0.2840 data_time: 0.0198 memory: 8198 grad_norm: 6.7691 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0490 loss: 1.0490 2022/08/03 16:35:29 - mmengine - INFO - Epoch(train) [173][640/1879] lr: 1.0000e-04 eta: 12:26:20 time: 0.2875 data_time: 0.0242 memory: 8198 grad_norm: 7.1120 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9426 loss: 0.9426 2022/08/03 16:35:34 - mmengine - INFO - Epoch(train) [173][660/1879] lr: 1.0000e-04 eta: 12:26:14 time: 0.2858 data_time: 0.0201 memory: 8198 grad_norm: 6.9447 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9006 loss: 0.9006 2022/08/03 16:35:40 - mmengine - INFO - Epoch(train) [173][680/1879] lr: 1.0000e-04 eta: 12:26:08 time: 0.2886 data_time: 0.0217 memory: 8198 grad_norm: 6.9760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9912 loss: 0.9912 2022/08/03 16:35:46 - mmengine - INFO - Epoch(train) [173][700/1879] lr: 1.0000e-04 eta: 12:26:03 time: 0.2912 data_time: 0.0207 memory: 8198 grad_norm: 7.0737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0039 loss: 1.0039 2022/08/03 16:35:52 - mmengine - INFO - Epoch(train) [173][720/1879] lr: 1.0000e-04 eta: 12:25:57 time: 0.2856 data_time: 0.0192 memory: 8198 grad_norm: 6.8496 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9708 loss: 0.9708 2022/08/03 16:35:57 - mmengine - INFO - Epoch(train) [173][740/1879] lr: 1.0000e-04 eta: 12:25:51 time: 0.2870 data_time: 0.0328 memory: 8198 grad_norm: 6.9023 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9594 loss: 0.9594 2022/08/03 16:36:03 - mmengine - INFO - Epoch(train) [173][760/1879] lr: 1.0000e-04 eta: 12:25:46 time: 0.2835 data_time: 0.0216 memory: 8198 grad_norm: 7.0817 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9483 loss: 0.9483 2022/08/03 16:36:09 - mmengine - INFO - Epoch(train) [173][780/1879] lr: 1.0000e-04 eta: 12:25:40 time: 0.3052 data_time: 0.0181 memory: 8198 grad_norm: 7.2908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/08/03 16:36:15 - mmengine - INFO - Epoch(train) [173][800/1879] lr: 1.0000e-04 eta: 12:25:35 time: 0.2926 data_time: 0.0207 memory: 8198 grad_norm: 7.1268 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9583 loss: 0.9583 2022/08/03 16:36:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:36:21 - mmengine - INFO - Epoch(train) [173][820/1879] lr: 1.0000e-04 eta: 12:25:29 time: 0.2817 data_time: 0.0197 memory: 8198 grad_norm: 6.9363 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/08/03 16:36:27 - mmengine - INFO - Epoch(train) [173][840/1879] lr: 1.0000e-04 eta: 12:25:23 time: 0.3002 data_time: 0.0230 memory: 8198 grad_norm: 6.9856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8329 loss: 0.8329 2022/08/03 16:36:33 - mmengine - INFO - Epoch(train) [173][860/1879] lr: 1.0000e-04 eta: 12:25:18 time: 0.2874 data_time: 0.0206 memory: 8198 grad_norm: 7.1629 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1808 loss: 1.1808 2022/08/03 16:36:38 - mmengine - INFO - Epoch(train) [173][880/1879] lr: 1.0000e-04 eta: 12:25:12 time: 0.2822 data_time: 0.0214 memory: 8198 grad_norm: 6.8275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7040 loss: 0.7040 2022/08/03 16:36:44 - mmengine - INFO - Epoch(train) [173][900/1879] lr: 1.0000e-04 eta: 12:25:06 time: 0.2860 data_time: 0.0195 memory: 8198 grad_norm: 7.2784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0077 loss: 1.0077 2022/08/03 16:36:50 - mmengine - INFO - Epoch(train) [173][920/1879] lr: 1.0000e-04 eta: 12:25:01 time: 0.3099 data_time: 0.0213 memory: 8198 grad_norm: 6.9436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8982 loss: 0.8982 2022/08/03 16:36:56 - mmengine - INFO - Epoch(train) [173][940/1879] lr: 1.0000e-04 eta: 12:24:55 time: 0.2875 data_time: 0.0230 memory: 8198 grad_norm: 7.0667 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9377 loss: 0.9377 2022/08/03 16:37:02 - mmengine - INFO - Epoch(train) [173][960/1879] lr: 1.0000e-04 eta: 12:24:49 time: 0.2911 data_time: 0.0279 memory: 8198 grad_norm: 6.7610 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9751 loss: 0.9751 2022/08/03 16:37:08 - mmengine - INFO - Epoch(train) [173][980/1879] lr: 1.0000e-04 eta: 12:24:44 time: 0.2942 data_time: 0.0202 memory: 8198 grad_norm: 6.9241 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1188 loss: 1.1188 2022/08/03 16:37:13 - mmengine - INFO - Epoch(train) [173][1000/1879] lr: 1.0000e-04 eta: 12:24:38 time: 0.2828 data_time: 0.0214 memory: 8198 grad_norm: 7.0194 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8098 loss: 0.8098 2022/08/03 16:37:19 - mmengine - INFO - Epoch(train) [173][1020/1879] lr: 1.0000e-04 eta: 12:24:32 time: 0.2852 data_time: 0.0202 memory: 8198 grad_norm: 6.9387 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0469 loss: 1.0469 2022/08/03 16:37:25 - mmengine - INFO - Epoch(train) [173][1040/1879] lr: 1.0000e-04 eta: 12:24:27 time: 0.2911 data_time: 0.0264 memory: 8198 grad_norm: 6.8768 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9565 loss: 0.9565 2022/08/03 16:37:31 - mmengine - INFO - Epoch(train) [173][1060/1879] lr: 1.0000e-04 eta: 12:24:21 time: 0.2826 data_time: 0.0211 memory: 8198 grad_norm: 6.9834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8948 loss: 0.8948 2022/08/03 16:37:36 - mmengine - INFO - Epoch(train) [173][1080/1879] lr: 1.0000e-04 eta: 12:24:15 time: 0.2836 data_time: 0.0243 memory: 8198 grad_norm: 6.9082 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0086 loss: 1.0086 2022/08/03 16:37:42 - mmengine - INFO - Epoch(train) [173][1100/1879] lr: 1.0000e-04 eta: 12:24:10 time: 0.2929 data_time: 0.0286 memory: 8198 grad_norm: 7.0098 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1716 loss: 1.1716 2022/08/03 16:37:48 - mmengine - INFO - Epoch(train) [173][1120/1879] lr: 1.0000e-04 eta: 12:24:04 time: 0.2938 data_time: 0.0207 memory: 8198 grad_norm: 7.2146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0373 loss: 1.0373 2022/08/03 16:37:54 - mmengine - INFO - Epoch(train) [173][1140/1879] lr: 1.0000e-04 eta: 12:23:58 time: 0.2840 data_time: 0.0238 memory: 8198 grad_norm: 7.1976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8744 loss: 0.8744 2022/08/03 16:38:00 - mmengine - INFO - Epoch(train) [173][1160/1879] lr: 1.0000e-04 eta: 12:23:53 time: 0.2885 data_time: 0.0278 memory: 8198 grad_norm: 7.0466 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1515 loss: 1.1515 2022/08/03 16:38:06 - mmengine - INFO - Epoch(train) [173][1180/1879] lr: 1.0000e-04 eta: 12:23:47 time: 0.2944 data_time: 0.0207 memory: 8198 grad_norm: 7.1336 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0949 loss: 1.0949 2022/08/03 16:38:11 - mmengine - INFO - Epoch(train) [173][1200/1879] lr: 1.0000e-04 eta: 12:23:41 time: 0.2836 data_time: 0.0226 memory: 8198 grad_norm: 7.2710 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/08/03 16:38:17 - mmengine - INFO - Epoch(train) [173][1220/1879] lr: 1.0000e-04 eta: 12:23:36 time: 0.2916 data_time: 0.0217 memory: 8198 grad_norm: 7.0566 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/08/03 16:38:23 - mmengine - INFO - Epoch(train) [173][1240/1879] lr: 1.0000e-04 eta: 12:23:30 time: 0.2832 data_time: 0.0252 memory: 8198 grad_norm: 6.8152 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0501 loss: 1.0501 2022/08/03 16:38:29 - mmengine - INFO - Epoch(train) [173][1260/1879] lr: 1.0000e-04 eta: 12:23:24 time: 0.2862 data_time: 0.0223 memory: 8198 grad_norm: 7.0268 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9395 loss: 0.9395 2022/08/03 16:38:34 - mmengine - INFO - Epoch(train) [173][1280/1879] lr: 1.0000e-04 eta: 12:23:19 time: 0.2856 data_time: 0.0217 memory: 8198 grad_norm: 7.0455 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7684 loss: 0.7684 2022/08/03 16:38:40 - mmengine - INFO - Epoch(train) [173][1300/1879] lr: 1.0000e-04 eta: 12:23:13 time: 0.2925 data_time: 0.0268 memory: 8198 grad_norm: 7.0021 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/08/03 16:38:46 - mmengine - INFO - Epoch(train) [173][1320/1879] lr: 1.0000e-04 eta: 12:23:07 time: 0.2968 data_time: 0.0223 memory: 8198 grad_norm: 6.9828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/08/03 16:38:52 - mmengine - INFO - Epoch(train) [173][1340/1879] lr: 1.0000e-04 eta: 12:23:02 time: 0.2857 data_time: 0.0239 memory: 8198 grad_norm: 7.0402 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9847 loss: 0.9847 2022/08/03 16:38:58 - mmengine - INFO - Epoch(train) [173][1360/1879] lr: 1.0000e-04 eta: 12:22:56 time: 0.2907 data_time: 0.0216 memory: 8198 grad_norm: 7.0693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0052 loss: 1.0052 2022/08/03 16:39:03 - mmengine - INFO - Epoch(train) [173][1380/1879] lr: 1.0000e-04 eta: 12:22:50 time: 0.2866 data_time: 0.0275 memory: 8198 grad_norm: 7.1716 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0568 loss: 1.0568 2022/08/03 16:39:09 - mmengine - INFO - Epoch(train) [173][1400/1879] lr: 1.0000e-04 eta: 12:22:45 time: 0.2892 data_time: 0.0229 memory: 8198 grad_norm: 6.8220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0328 loss: 1.0328 2022/08/03 16:39:15 - mmengine - INFO - Epoch(train) [173][1420/1879] lr: 1.0000e-04 eta: 12:22:39 time: 0.2844 data_time: 0.0231 memory: 8198 grad_norm: 6.9273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0132 loss: 1.0132 2022/08/03 16:39:21 - mmengine - INFO - Epoch(train) [173][1440/1879] lr: 1.0000e-04 eta: 12:22:33 time: 0.2891 data_time: 0.0278 memory: 8198 grad_norm: 6.9449 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0988 loss: 1.0988 2022/08/03 16:39:26 - mmengine - INFO - Epoch(train) [173][1460/1879] lr: 1.0000e-04 eta: 12:22:28 time: 0.2853 data_time: 0.0200 memory: 8198 grad_norm: 6.9551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9376 loss: 0.9376 2022/08/03 16:39:32 - mmengine - INFO - Epoch(train) [173][1480/1879] lr: 1.0000e-04 eta: 12:22:22 time: 0.2856 data_time: 0.0219 memory: 8198 grad_norm: 6.9791 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9951 loss: 0.9951 2022/08/03 16:39:38 - mmengine - INFO - Epoch(train) [173][1500/1879] lr: 1.0000e-04 eta: 12:22:16 time: 0.2838 data_time: 0.0186 memory: 8198 grad_norm: 6.8913 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0050 loss: 1.0050 2022/08/03 16:39:44 - mmengine - INFO - Epoch(train) [173][1520/1879] lr: 1.0000e-04 eta: 12:22:11 time: 0.2878 data_time: 0.0223 memory: 8198 grad_norm: 7.0802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9413 loss: 0.9413 2022/08/03 16:39:50 - mmengine - INFO - Epoch(train) [173][1540/1879] lr: 1.0000e-04 eta: 12:22:05 time: 0.2916 data_time: 0.0229 memory: 8198 grad_norm: 7.2051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/08/03 16:39:55 - mmengine - INFO - Epoch(train) [173][1560/1879] lr: 1.0000e-04 eta: 12:21:59 time: 0.2844 data_time: 0.0233 memory: 8198 grad_norm: 6.8528 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9763 loss: 0.9763 2022/08/03 16:40:01 - mmengine - INFO - Epoch(train) [173][1580/1879] lr: 1.0000e-04 eta: 12:21:54 time: 0.2906 data_time: 0.0261 memory: 8198 grad_norm: 6.9493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/08/03 16:40:07 - mmengine - INFO - Epoch(train) [173][1600/1879] lr: 1.0000e-04 eta: 12:21:48 time: 0.2898 data_time: 0.0204 memory: 8198 grad_norm: 6.6771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0149 loss: 1.0149 2022/08/03 16:40:13 - mmengine - INFO - Epoch(train) [173][1620/1879] lr: 1.0000e-04 eta: 12:21:42 time: 0.2837 data_time: 0.0223 memory: 8198 grad_norm: 6.9682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/03 16:40:18 - mmengine - INFO - Epoch(train) [173][1640/1879] lr: 1.0000e-04 eta: 12:21:37 time: 0.2882 data_time: 0.0227 memory: 8198 grad_norm: 6.6849 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1714 loss: 1.1714 2022/08/03 16:40:24 - mmengine - INFO - Epoch(train) [173][1660/1879] lr: 1.0000e-04 eta: 12:21:31 time: 0.2853 data_time: 0.0217 memory: 8198 grad_norm: 7.0521 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0409 loss: 1.0409 2022/08/03 16:40:30 - mmengine - INFO - Epoch(train) [173][1680/1879] lr: 1.0000e-04 eta: 12:21:25 time: 0.2847 data_time: 0.0233 memory: 8198 grad_norm: 7.1155 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.9558 loss: 0.9558 2022/08/03 16:40:36 - mmengine - INFO - Epoch(train) [173][1700/1879] lr: 1.0000e-04 eta: 12:21:20 time: 0.2873 data_time: 0.0246 memory: 8198 grad_norm: 6.9078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9854 loss: 0.9854 2022/08/03 16:40:41 - mmengine - INFO - Epoch(train) [173][1720/1879] lr: 1.0000e-04 eta: 12:21:14 time: 0.2881 data_time: 0.0291 memory: 8198 grad_norm: 6.7053 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7308 loss: 0.7308 2022/08/03 16:40:47 - mmengine - INFO - Epoch(train) [173][1740/1879] lr: 1.0000e-04 eta: 12:21:08 time: 0.2925 data_time: 0.0195 memory: 8198 grad_norm: 7.0051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9895 loss: 0.9895 2022/08/03 16:40:53 - mmengine - INFO - Epoch(train) [173][1760/1879] lr: 1.0000e-04 eta: 12:21:03 time: 0.2867 data_time: 0.0234 memory: 8198 grad_norm: 6.8533 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9424 loss: 0.9424 2022/08/03 16:40:59 - mmengine - INFO - Epoch(train) [173][1780/1879] lr: 1.0000e-04 eta: 12:20:57 time: 0.2840 data_time: 0.0198 memory: 8198 grad_norm: 7.0663 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0107 loss: 1.0107 2022/08/03 16:41:04 - mmengine - INFO - Epoch(train) [173][1800/1879] lr: 1.0000e-04 eta: 12:20:51 time: 0.2869 data_time: 0.0238 memory: 8198 grad_norm: 7.2427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0812 loss: 1.0812 2022/08/03 16:41:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:41:10 - mmengine - INFO - Epoch(train) [173][1820/1879] lr: 1.0000e-04 eta: 12:20:46 time: 0.2906 data_time: 0.0168 memory: 8198 grad_norm: 6.6951 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9859 loss: 0.9859 2022/08/03 16:41:16 - mmengine - INFO - Epoch(train) [173][1840/1879] lr: 1.0000e-04 eta: 12:20:40 time: 0.2908 data_time: 0.0271 memory: 8198 grad_norm: 7.0928 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/08/03 16:41:22 - mmengine - INFO - Epoch(train) [173][1860/1879] lr: 1.0000e-04 eta: 12:20:34 time: 0.2833 data_time: 0.0239 memory: 8198 grad_norm: 6.8764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8722 loss: 0.8722 2022/08/03 16:41:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:41:27 - mmengine - INFO - Epoch(train) [173][1879/1879] lr: 1.0000e-04 eta: 12:20:34 time: 0.2625 data_time: 0.0157 memory: 8198 grad_norm: 7.1846 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8975 loss: 0.8975 2022/08/03 16:41:35 - mmengine - INFO - Epoch(train) [174][20/1879] lr: 1.0000e-04 eta: 12:20:22 time: 0.4158 data_time: 0.1149 memory: 8198 grad_norm: 6.7798 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9642 loss: 0.9642 2022/08/03 16:41:41 - mmengine - INFO - Epoch(train) [174][40/1879] lr: 1.0000e-04 eta: 12:20:16 time: 0.2927 data_time: 0.0228 memory: 8198 grad_norm: 6.8633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9546 loss: 0.9546 2022/08/03 16:41:47 - mmengine - INFO - Epoch(train) [174][60/1879] lr: 1.0000e-04 eta: 12:20:11 time: 0.2935 data_time: 0.0251 memory: 8198 grad_norm: 7.0124 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8189 loss: 0.8189 2022/08/03 16:41:53 - mmengine - INFO - Epoch(train) [174][80/1879] lr: 1.0000e-04 eta: 12:20:05 time: 0.2880 data_time: 0.0233 memory: 8198 grad_norm: 7.0399 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0293 loss: 1.0293 2022/08/03 16:41:58 - mmengine - INFO - Epoch(train) [174][100/1879] lr: 1.0000e-04 eta: 12:19:59 time: 0.2849 data_time: 0.0223 memory: 8198 grad_norm: 6.8544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9437 loss: 0.9437 2022/08/03 16:42:04 - mmengine - INFO - Epoch(train) [174][120/1879] lr: 1.0000e-04 eta: 12:19:54 time: 0.2871 data_time: 0.0207 memory: 8198 grad_norm: 7.1040 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/08/03 16:42:10 - mmengine - INFO - Epoch(train) [174][140/1879] lr: 1.0000e-04 eta: 12:19:48 time: 0.2908 data_time: 0.0191 memory: 8198 grad_norm: 6.8952 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0624 loss: 1.0624 2022/08/03 16:42:16 - mmengine - INFO - Epoch(train) [174][160/1879] lr: 1.0000e-04 eta: 12:19:42 time: 0.2834 data_time: 0.0234 memory: 8198 grad_norm: 7.1461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9750 loss: 0.9750 2022/08/03 16:42:22 - mmengine - INFO - Epoch(train) [174][180/1879] lr: 1.0000e-04 eta: 12:19:37 time: 0.2876 data_time: 0.0237 memory: 8198 grad_norm: 7.2018 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1081 loss: 1.1081 2022/08/03 16:42:27 - mmengine - INFO - Epoch(train) [174][200/1879] lr: 1.0000e-04 eta: 12:19:31 time: 0.2867 data_time: 0.0212 memory: 8198 grad_norm: 7.3799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0159 loss: 1.0159 2022/08/03 16:42:33 - mmengine - INFO - Epoch(train) [174][220/1879] lr: 1.0000e-04 eta: 12:19:25 time: 0.2859 data_time: 0.0198 memory: 8198 grad_norm: 6.8684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9926 loss: 0.9926 2022/08/03 16:42:39 - mmengine - INFO - Epoch(train) [174][240/1879] lr: 1.0000e-04 eta: 12:19:20 time: 0.3007 data_time: 0.0242 memory: 8198 grad_norm: 7.0185 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1686 loss: 1.1686 2022/08/03 16:42:45 - mmengine - INFO - Epoch(train) [174][260/1879] lr: 1.0000e-04 eta: 12:19:14 time: 0.2870 data_time: 0.0233 memory: 8198 grad_norm: 6.9760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9207 loss: 0.9207 2022/08/03 16:42:51 - mmengine - INFO - Epoch(train) [174][280/1879] lr: 1.0000e-04 eta: 12:19:08 time: 0.2880 data_time: 0.0275 memory: 8198 grad_norm: 6.9667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/08/03 16:42:56 - mmengine - INFO - Epoch(train) [174][300/1879] lr: 1.0000e-04 eta: 12:19:03 time: 0.2849 data_time: 0.0184 memory: 8198 grad_norm: 6.6155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/08/03 16:43:02 - mmengine - INFO - Epoch(train) [174][320/1879] lr: 1.0000e-04 eta: 12:18:57 time: 0.2853 data_time: 0.0252 memory: 8198 grad_norm: 6.9249 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/03 16:43:08 - mmengine - INFO - Epoch(train) [174][340/1879] lr: 1.0000e-04 eta: 12:18:51 time: 0.2823 data_time: 0.0202 memory: 8198 grad_norm: 7.1848 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1192 loss: 1.1192 2022/08/03 16:43:14 - mmengine - INFO - Epoch(train) [174][360/1879] lr: 1.0000e-04 eta: 12:18:46 time: 0.2890 data_time: 0.0248 memory: 8198 grad_norm: 7.3090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8361 loss: 0.8361 2022/08/03 16:43:20 - mmengine - INFO - Epoch(train) [174][380/1879] lr: 1.0000e-04 eta: 12:18:40 time: 0.2967 data_time: 0.0214 memory: 8198 grad_norm: 7.1809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0584 loss: 1.0584 2022/08/03 16:43:25 - mmengine - INFO - Epoch(train) [174][400/1879] lr: 1.0000e-04 eta: 12:18:34 time: 0.2845 data_time: 0.0209 memory: 8198 grad_norm: 6.8862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0148 loss: 1.0148 2022/08/03 16:43:31 - mmengine - INFO - Epoch(train) [174][420/1879] lr: 1.0000e-04 eta: 12:18:29 time: 0.2840 data_time: 0.0225 memory: 8198 grad_norm: 6.9721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/08/03 16:43:37 - mmengine - INFO - Epoch(train) [174][440/1879] lr: 1.0000e-04 eta: 12:18:23 time: 0.2912 data_time: 0.0203 memory: 8198 grad_norm: 6.9234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8038 loss: 0.8038 2022/08/03 16:43:43 - mmengine - INFO - Epoch(train) [174][460/1879] lr: 1.0000e-04 eta: 12:18:17 time: 0.2956 data_time: 0.0344 memory: 8198 grad_norm: 6.8735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0656 loss: 1.0656 2022/08/03 16:43:48 - mmengine - INFO - Epoch(train) [174][480/1879] lr: 1.0000e-04 eta: 12:18:12 time: 0.2842 data_time: 0.0242 memory: 8198 grad_norm: 6.9451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1440 loss: 1.1440 2022/08/03 16:43:54 - mmengine - INFO - Epoch(train) [174][500/1879] lr: 1.0000e-04 eta: 12:18:06 time: 0.2877 data_time: 0.0216 memory: 8198 grad_norm: 6.8348 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/03 16:44:00 - mmengine - INFO - Epoch(train) [174][520/1879] lr: 1.0000e-04 eta: 12:18:00 time: 0.2963 data_time: 0.0221 memory: 8198 grad_norm: 6.9104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9979 loss: 0.9979 2022/08/03 16:44:06 - mmengine - INFO - Epoch(train) [174][540/1879] lr: 1.0000e-04 eta: 12:17:55 time: 0.2897 data_time: 0.0306 memory: 8198 grad_norm: 6.9550 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/03 16:44:12 - mmengine - INFO - Epoch(train) [174][560/1879] lr: 1.0000e-04 eta: 12:17:49 time: 0.2823 data_time: 0.0232 memory: 8198 grad_norm: 7.0388 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9642 loss: 0.9642 2022/08/03 16:44:18 - mmengine - INFO - Epoch(train) [174][580/1879] lr: 1.0000e-04 eta: 12:17:43 time: 0.2933 data_time: 0.0212 memory: 8198 grad_norm: 7.2276 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0540 loss: 1.0540 2022/08/03 16:44:23 - mmengine - INFO - Epoch(train) [174][600/1879] lr: 1.0000e-04 eta: 12:17:38 time: 0.2852 data_time: 0.0241 memory: 8198 grad_norm: 6.9687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/08/03 16:44:29 - mmengine - INFO - Epoch(train) [174][620/1879] lr: 1.0000e-04 eta: 12:17:32 time: 0.2903 data_time: 0.0254 memory: 8198 grad_norm: 6.9968 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0585 loss: 1.0585 2022/08/03 16:44:35 - mmengine - INFO - Epoch(train) [174][640/1879] lr: 1.0000e-04 eta: 12:17:26 time: 0.2849 data_time: 0.0243 memory: 8198 grad_norm: 7.0793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9166 loss: 0.9166 2022/08/03 16:44:41 - mmengine - INFO - Epoch(train) [174][660/1879] lr: 1.0000e-04 eta: 12:17:21 time: 0.2905 data_time: 0.0212 memory: 8198 grad_norm: 7.0295 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/08/03 16:44:46 - mmengine - INFO - Epoch(train) [174][680/1879] lr: 1.0000e-04 eta: 12:17:15 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 7.2424 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1461 loss: 1.1461 2022/08/03 16:44:52 - mmengine - INFO - Epoch(train) [174][700/1879] lr: 1.0000e-04 eta: 12:17:09 time: 0.2828 data_time: 0.0210 memory: 8198 grad_norm: 6.8933 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/03 16:44:58 - mmengine - INFO - Epoch(train) [174][720/1879] lr: 1.0000e-04 eta: 12:17:04 time: 0.2902 data_time: 0.0238 memory: 8198 grad_norm: 6.9504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0836 loss: 1.0836 2022/08/03 16:45:04 - mmengine - INFO - Epoch(train) [174][740/1879] lr: 1.0000e-04 eta: 12:16:58 time: 0.2872 data_time: 0.0189 memory: 8198 grad_norm: 6.9544 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/08/03 16:45:09 - mmengine - INFO - Epoch(train) [174][760/1879] lr: 1.0000e-04 eta: 12:16:52 time: 0.2868 data_time: 0.0196 memory: 8198 grad_norm: 6.9052 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8858 loss: 0.8858 2022/08/03 16:45:15 - mmengine - INFO - Epoch(train) [174][780/1879] lr: 1.0000e-04 eta: 12:16:47 time: 0.2896 data_time: 0.0184 memory: 8198 grad_norm: 6.9253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/08/03 16:45:21 - mmengine - INFO - Epoch(train) [174][800/1879] lr: 1.0000e-04 eta: 12:16:41 time: 0.2859 data_time: 0.0200 memory: 8198 grad_norm: 7.0019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9419 loss: 0.9419 2022/08/03 16:45:27 - mmengine - INFO - Epoch(train) [174][820/1879] lr: 1.0000e-04 eta: 12:16:35 time: 0.2901 data_time: 0.0243 memory: 8198 grad_norm: 7.1151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8977 loss: 0.8977 2022/08/03 16:45:32 - mmengine - INFO - Epoch(train) [174][840/1879] lr: 1.0000e-04 eta: 12:16:30 time: 0.2838 data_time: 0.0222 memory: 8198 grad_norm: 6.9768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/08/03 16:45:38 - mmengine - INFO - Epoch(train) [174][860/1879] lr: 1.0000e-04 eta: 12:16:24 time: 0.2942 data_time: 0.0190 memory: 8198 grad_norm: 7.1303 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1005 loss: 1.1005 2022/08/03 16:45:44 - mmengine - INFO - Epoch(train) [174][880/1879] lr: 1.0000e-04 eta: 12:16:18 time: 0.2841 data_time: 0.0268 memory: 8198 grad_norm: 7.0614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9874 loss: 0.9874 2022/08/03 16:45:50 - mmengine - INFO - Epoch(train) [174][900/1879] lr: 1.0000e-04 eta: 12:16:13 time: 0.2881 data_time: 0.0276 memory: 8198 grad_norm: 7.1378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/03 16:45:56 - mmengine - INFO - Epoch(train) [174][920/1879] lr: 1.0000e-04 eta: 12:16:07 time: 0.2925 data_time: 0.0250 memory: 8198 grad_norm: 7.1217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0359 loss: 1.0359 2022/08/03 16:45:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:46:01 - mmengine - INFO - Epoch(train) [174][940/1879] lr: 1.0000e-04 eta: 12:16:01 time: 0.2837 data_time: 0.0229 memory: 8198 grad_norm: 7.0304 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/03 16:46:07 - mmengine - INFO - Epoch(train) [174][960/1879] lr: 1.0000e-04 eta: 12:15:56 time: 0.2885 data_time: 0.0228 memory: 8198 grad_norm: 7.0741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9267 loss: 0.9267 2022/08/03 16:46:13 - mmengine - INFO - Epoch(train) [174][980/1879] lr: 1.0000e-04 eta: 12:15:50 time: 0.2866 data_time: 0.0245 memory: 8198 grad_norm: 7.0338 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/03 16:46:19 - mmengine - INFO - Epoch(train) [174][1000/1879] lr: 1.0000e-04 eta: 12:15:44 time: 0.2903 data_time: 0.0227 memory: 8198 grad_norm: 6.9656 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9150 loss: 0.9150 2022/08/03 16:46:25 - mmengine - INFO - Epoch(train) [174][1020/1879] lr: 1.0000e-04 eta: 12:15:39 time: 0.2865 data_time: 0.0202 memory: 8198 grad_norm: 6.7837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0012 loss: 1.0012 2022/08/03 16:46:30 - mmengine - INFO - Epoch(train) [174][1040/1879] lr: 1.0000e-04 eta: 12:15:33 time: 0.2821 data_time: 0.0195 memory: 8198 grad_norm: 7.0283 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0614 loss: 1.0614 2022/08/03 16:46:36 - mmengine - INFO - Epoch(train) [174][1060/1879] lr: 1.0000e-04 eta: 12:15:27 time: 0.2882 data_time: 0.0243 memory: 8198 grad_norm: 6.6840 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8909 loss: 0.8909 2022/08/03 16:46:42 - mmengine - INFO - Epoch(train) [174][1080/1879] lr: 1.0000e-04 eta: 12:15:21 time: 0.2880 data_time: 0.0255 memory: 8198 grad_norm: 6.7696 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0033 loss: 1.0033 2022/08/03 16:46:48 - mmengine - INFO - Epoch(train) [174][1100/1879] lr: 1.0000e-04 eta: 12:15:16 time: 0.2871 data_time: 0.0227 memory: 8198 grad_norm: 7.0706 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9806 loss: 0.9806 2022/08/03 16:46:53 - mmengine - INFO - Epoch(train) [174][1120/1879] lr: 1.0000e-04 eta: 12:15:10 time: 0.2863 data_time: 0.0226 memory: 8198 grad_norm: 7.1392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9343 loss: 0.9343 2022/08/03 16:46:59 - mmengine - INFO - Epoch(train) [174][1140/1879] lr: 1.0000e-04 eta: 12:15:05 time: 0.2945 data_time: 0.0246 memory: 8198 grad_norm: 7.0082 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9728 loss: 0.9728 2022/08/03 16:47:05 - mmengine - INFO - Epoch(train) [174][1160/1879] lr: 1.0000e-04 eta: 12:14:59 time: 0.2835 data_time: 0.0216 memory: 8198 grad_norm: 7.1861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0467 loss: 1.0467 2022/08/03 16:47:11 - mmengine - INFO - Epoch(train) [174][1180/1879] lr: 1.0000e-04 eta: 12:14:53 time: 0.2891 data_time: 0.0251 memory: 8198 grad_norm: 7.1991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8527 loss: 0.8527 2022/08/03 16:47:17 - mmengine - INFO - Epoch(train) [174][1200/1879] lr: 1.0000e-04 eta: 12:14:48 time: 0.2958 data_time: 0.0258 memory: 8198 grad_norm: 6.9331 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0037 loss: 1.0037 2022/08/03 16:47:22 - mmengine - INFO - Epoch(train) [174][1220/1879] lr: 1.0000e-04 eta: 12:14:42 time: 0.2820 data_time: 0.0211 memory: 8198 grad_norm: 7.0196 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9857 loss: 0.9857 2022/08/03 16:47:28 - mmengine - INFO - Epoch(train) [174][1240/1879] lr: 1.0000e-04 eta: 12:14:36 time: 0.2866 data_time: 0.0225 memory: 8198 grad_norm: 6.8978 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8039 loss: 0.8039 2022/08/03 16:47:34 - mmengine - INFO - Epoch(train) [174][1260/1879] lr: 1.0000e-04 eta: 12:14:30 time: 0.2851 data_time: 0.0226 memory: 8198 grad_norm: 7.1957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8812 loss: 0.8812 2022/08/03 16:47:40 - mmengine - INFO - Epoch(train) [174][1280/1879] lr: 1.0000e-04 eta: 12:14:25 time: 0.3042 data_time: 0.0190 memory: 8198 grad_norm: 7.0278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0011 loss: 1.0011 2022/08/03 16:47:46 - mmengine - INFO - Epoch(train) [174][1300/1879] lr: 1.0000e-04 eta: 12:14:19 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 6.7869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/08/03 16:47:52 - mmengine - INFO - Epoch(train) [174][1320/1879] lr: 1.0000e-04 eta: 12:14:14 time: 0.2890 data_time: 0.0241 memory: 8198 grad_norm: 7.0927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/08/03 16:47:57 - mmengine - INFO - Epoch(train) [174][1340/1879] lr: 1.0000e-04 eta: 12:14:08 time: 0.2834 data_time: 0.0177 memory: 8198 grad_norm: 6.8109 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0637 loss: 1.0637 2022/08/03 16:48:03 - mmengine - INFO - Epoch(train) [174][1360/1879] lr: 1.0000e-04 eta: 12:14:02 time: 0.2845 data_time: 0.0210 memory: 8198 grad_norm: 7.0777 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9688 loss: 0.9688 2022/08/03 16:48:09 - mmengine - INFO - Epoch(train) [174][1380/1879] lr: 1.0000e-04 eta: 12:13:56 time: 0.2842 data_time: 0.0208 memory: 8198 grad_norm: 6.8376 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7891 loss: 0.7891 2022/08/03 16:48:14 - mmengine - INFO - Epoch(train) [174][1400/1879] lr: 1.0000e-04 eta: 12:13:51 time: 0.2838 data_time: 0.0229 memory: 8198 grad_norm: 6.9073 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0496 loss: 1.0496 2022/08/03 16:48:20 - mmengine - INFO - Epoch(train) [174][1420/1879] lr: 1.0000e-04 eta: 12:13:45 time: 0.2884 data_time: 0.0221 memory: 8198 grad_norm: 7.0676 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9798 loss: 0.9798 2022/08/03 16:48:26 - mmengine - INFO - Epoch(train) [174][1440/1879] lr: 1.0000e-04 eta: 12:13:39 time: 0.2883 data_time: 0.0211 memory: 8198 grad_norm: 7.0063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7445 loss: 0.7445 2022/08/03 16:48:32 - mmengine - INFO - Epoch(train) [174][1460/1879] lr: 1.0000e-04 eta: 12:13:34 time: 0.2933 data_time: 0.0355 memory: 8198 grad_norm: 6.9672 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0420 loss: 1.0420 2022/08/03 16:48:38 - mmengine - INFO - Epoch(train) [174][1480/1879] lr: 1.0000e-04 eta: 12:13:28 time: 0.2839 data_time: 0.0199 memory: 8198 grad_norm: 6.7244 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8645 loss: 0.8645 2022/08/03 16:48:43 - mmengine - INFO - Epoch(train) [174][1500/1879] lr: 1.0000e-04 eta: 12:13:22 time: 0.2874 data_time: 0.0258 memory: 8198 grad_norm: 7.2036 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2038 loss: 1.2038 2022/08/03 16:48:49 - mmengine - INFO - Epoch(train) [174][1520/1879] lr: 1.0000e-04 eta: 12:13:17 time: 0.2885 data_time: 0.0244 memory: 8198 grad_norm: 6.9437 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9525 loss: 0.9525 2022/08/03 16:48:55 - mmengine - INFO - Epoch(train) [174][1540/1879] lr: 1.0000e-04 eta: 12:13:11 time: 0.2832 data_time: 0.0213 memory: 8198 grad_norm: 6.8013 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0185 loss: 1.0185 2022/08/03 16:49:01 - mmengine - INFO - Epoch(train) [174][1560/1879] lr: 1.0000e-04 eta: 12:13:05 time: 0.2871 data_time: 0.0255 memory: 8198 grad_norm: 6.9269 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0240 loss: 1.0240 2022/08/03 16:49:06 - mmengine - INFO - Epoch(train) [174][1580/1879] lr: 1.0000e-04 eta: 12:13:00 time: 0.2883 data_time: 0.0214 memory: 8198 grad_norm: 6.9730 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9436 loss: 0.9436 2022/08/03 16:49:12 - mmengine - INFO - Epoch(train) [174][1600/1879] lr: 1.0000e-04 eta: 12:12:54 time: 0.2853 data_time: 0.0223 memory: 8198 grad_norm: 7.1248 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9914 loss: 0.9914 2022/08/03 16:49:18 - mmengine - INFO - Epoch(train) [174][1620/1879] lr: 1.0000e-04 eta: 12:12:48 time: 0.2870 data_time: 0.0224 memory: 8198 grad_norm: 6.9369 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9481 loss: 0.9481 2022/08/03 16:49:24 - mmengine - INFO - Epoch(train) [174][1640/1879] lr: 1.0000e-04 eta: 12:12:43 time: 0.2876 data_time: 0.0247 memory: 8198 grad_norm: 6.9255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0359 loss: 1.0359 2022/08/03 16:49:29 - mmengine - INFO - Epoch(train) [174][1660/1879] lr: 1.0000e-04 eta: 12:12:37 time: 0.2878 data_time: 0.0236 memory: 8198 grad_norm: 7.0224 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/03 16:49:35 - mmengine - INFO - Epoch(train) [174][1680/1879] lr: 1.0000e-04 eta: 12:12:31 time: 0.2847 data_time: 0.0236 memory: 8198 grad_norm: 6.9198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1103 loss: 1.1103 2022/08/03 16:49:41 - mmengine - INFO - Epoch(train) [174][1700/1879] lr: 1.0000e-04 eta: 12:12:26 time: 0.2879 data_time: 0.0209 memory: 8198 grad_norm: 7.0865 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0492 loss: 1.0492 2022/08/03 16:49:47 - mmengine - INFO - Epoch(train) [174][1720/1879] lr: 1.0000e-04 eta: 12:12:20 time: 0.3020 data_time: 0.0235 memory: 8198 grad_norm: 7.0880 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0401 loss: 1.0401 2022/08/03 16:49:53 - mmengine - INFO - Epoch(train) [174][1740/1879] lr: 1.0000e-04 eta: 12:12:14 time: 0.2828 data_time: 0.0211 memory: 8198 grad_norm: 6.6814 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/03 16:49:58 - mmengine - INFO - Epoch(train) [174][1760/1879] lr: 1.0000e-04 eta: 12:12:09 time: 0.2922 data_time: 0.0212 memory: 8198 grad_norm: 7.2320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9902 loss: 0.9902 2022/08/03 16:50:04 - mmengine - INFO - Epoch(train) [174][1780/1879] lr: 1.0000e-04 eta: 12:12:03 time: 0.2944 data_time: 0.0216 memory: 8198 grad_norm: 7.2397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9725 loss: 0.9725 2022/08/03 16:50:10 - mmengine - INFO - Epoch(train) [174][1800/1879] lr: 1.0000e-04 eta: 12:11:57 time: 0.2850 data_time: 0.0195 memory: 8198 grad_norm: 7.0312 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2161 loss: 1.2161 2022/08/03 16:50:16 - mmengine - INFO - Epoch(train) [174][1820/1879] lr: 1.0000e-04 eta: 12:11:52 time: 0.2898 data_time: 0.0204 memory: 8198 grad_norm: 7.0094 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/03 16:50:22 - mmengine - INFO - Epoch(train) [174][1840/1879] lr: 1.0000e-04 eta: 12:11:46 time: 0.2834 data_time: 0.0214 memory: 8198 grad_norm: 6.4628 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/03 16:50:28 - mmengine - INFO - Epoch(train) [174][1860/1879] lr: 1.0000e-04 eta: 12:11:40 time: 0.2960 data_time: 0.0240 memory: 8198 grad_norm: 6.7474 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8392 loss: 0.8392 2022/08/03 16:50:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:50:32 - mmengine - INFO - Epoch(train) [174][1879/1879] lr: 1.0000e-04 eta: 12:11:40 time: 0.2575 data_time: 0.0136 memory: 8198 grad_norm: 6.9426 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8888 loss: 0.8888 2022/08/03 16:50:41 - mmengine - INFO - Epoch(train) [175][20/1879] lr: 1.0000e-04 eta: 12:11:28 time: 0.3998 data_time: 0.1068 memory: 8198 grad_norm: 7.1188 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9918 loss: 0.9918 2022/08/03 16:50:47 - mmengine - INFO - Epoch(train) [175][40/1879] lr: 1.0000e-04 eta: 12:11:23 time: 0.3359 data_time: 0.0216 memory: 8198 grad_norm: 7.0986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9771 loss: 0.9771 2022/08/03 16:50:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:50:53 - mmengine - INFO - Epoch(train) [175][60/1879] lr: 1.0000e-04 eta: 12:11:17 time: 0.2830 data_time: 0.0185 memory: 8198 grad_norm: 7.1017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/08/03 16:50:59 - mmengine - INFO - Epoch(train) [175][80/1879] lr: 1.0000e-04 eta: 12:11:11 time: 0.2886 data_time: 0.0263 memory: 8198 grad_norm: 6.6054 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9228 loss: 0.9228 2022/08/03 16:51:05 - mmengine - INFO - Epoch(train) [175][100/1879] lr: 1.0000e-04 eta: 12:11:06 time: 0.2853 data_time: 0.0192 memory: 8198 grad_norm: 6.9054 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0357 loss: 1.0357 2022/08/03 16:51:10 - mmengine - INFO - Epoch(train) [175][120/1879] lr: 1.0000e-04 eta: 12:11:00 time: 0.2856 data_time: 0.0220 memory: 8198 grad_norm: 7.0959 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0460 loss: 1.0460 2022/08/03 16:51:16 - mmengine - INFO - Epoch(train) [175][140/1879] lr: 1.0000e-04 eta: 12:10:54 time: 0.2930 data_time: 0.0239 memory: 8198 grad_norm: 7.1574 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/03 16:51:22 - mmengine - INFO - Epoch(train) [175][160/1879] lr: 1.0000e-04 eta: 12:10:49 time: 0.2880 data_time: 0.0233 memory: 8198 grad_norm: 7.2144 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9440 loss: 0.9440 2022/08/03 16:51:28 - mmengine - INFO - Epoch(train) [175][180/1879] lr: 1.0000e-04 eta: 12:10:43 time: 0.2846 data_time: 0.0229 memory: 8198 grad_norm: 7.0556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8238 loss: 0.8238 2022/08/03 16:51:34 - mmengine - INFO - Epoch(train) [175][200/1879] lr: 1.0000e-04 eta: 12:10:37 time: 0.2963 data_time: 0.0213 memory: 8198 grad_norm: 6.8888 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/08/03 16:51:39 - mmengine - INFO - Epoch(train) [175][220/1879] lr: 1.0000e-04 eta: 12:10:32 time: 0.2844 data_time: 0.0247 memory: 8198 grad_norm: 7.1222 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9089 loss: 0.9089 2022/08/03 16:51:45 - mmengine - INFO - Epoch(train) [175][240/1879] lr: 1.0000e-04 eta: 12:10:26 time: 0.2849 data_time: 0.0253 memory: 8198 grad_norm: 6.8339 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/08/03 16:51:51 - mmengine - INFO - Epoch(train) [175][260/1879] lr: 1.0000e-04 eta: 12:10:20 time: 0.2918 data_time: 0.0226 memory: 8198 grad_norm: 7.0971 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8993 loss: 0.8993 2022/08/03 16:51:57 - mmengine - INFO - Epoch(train) [175][280/1879] lr: 1.0000e-04 eta: 12:10:15 time: 0.2897 data_time: 0.0239 memory: 8198 grad_norm: 6.9101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7362 loss: 0.7362 2022/08/03 16:52:02 - mmengine - INFO - Epoch(train) [175][300/1879] lr: 1.0000e-04 eta: 12:10:09 time: 0.2829 data_time: 0.0232 memory: 8198 grad_norm: 6.9407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/08/03 16:52:09 - mmengine - INFO - Epoch(train) [175][320/1879] lr: 1.0000e-04 eta: 12:10:03 time: 0.3077 data_time: 0.0188 memory: 8198 grad_norm: 6.9939 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0962 loss: 1.0962 2022/08/03 16:52:14 - mmengine - INFO - Epoch(train) [175][340/1879] lr: 1.0000e-04 eta: 12:09:58 time: 0.2809 data_time: 0.0214 memory: 8198 grad_norm: 6.9545 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0021 loss: 1.0021 2022/08/03 16:52:20 - mmengine - INFO - Epoch(train) [175][360/1879] lr: 1.0000e-04 eta: 12:09:52 time: 0.2911 data_time: 0.0280 memory: 8198 grad_norm: 7.2350 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1565 loss: 1.1565 2022/08/03 16:52:26 - mmengine - INFO - Epoch(train) [175][380/1879] lr: 1.0000e-04 eta: 12:09:46 time: 0.2865 data_time: 0.0216 memory: 8198 grad_norm: 6.7985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8333 loss: 0.8333 2022/08/03 16:52:32 - mmengine - INFO - Epoch(train) [175][400/1879] lr: 1.0000e-04 eta: 12:09:41 time: 0.3050 data_time: 0.0221 memory: 8198 grad_norm: 6.9612 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0422 loss: 1.0422 2022/08/03 16:52:38 - mmengine - INFO - Epoch(train) [175][420/1879] lr: 1.0000e-04 eta: 12:09:35 time: 0.2897 data_time: 0.0284 memory: 8198 grad_norm: 7.2046 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0177 loss: 1.0177 2022/08/03 16:52:43 - mmengine - INFO - Epoch(train) [175][440/1879] lr: 1.0000e-04 eta: 12:09:30 time: 0.2836 data_time: 0.0243 memory: 8198 grad_norm: 7.3174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0413 loss: 1.0413 2022/08/03 16:52:49 - mmengine - INFO - Epoch(train) [175][460/1879] lr: 1.0000e-04 eta: 12:09:24 time: 0.2907 data_time: 0.0206 memory: 8198 grad_norm: 6.9092 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0546 loss: 1.0546 2022/08/03 16:52:55 - mmengine - INFO - Epoch(train) [175][480/1879] lr: 1.0000e-04 eta: 12:09:18 time: 0.2867 data_time: 0.0228 memory: 8198 grad_norm: 7.0153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7969 loss: 0.7969 2022/08/03 16:53:01 - mmengine - INFO - Epoch(train) [175][500/1879] lr: 1.0000e-04 eta: 12:09:13 time: 0.2871 data_time: 0.0246 memory: 8198 grad_norm: 6.9168 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2324 loss: 1.2324 2022/08/03 16:53:07 - mmengine - INFO - Epoch(train) [175][520/1879] lr: 1.0000e-04 eta: 12:09:07 time: 0.3068 data_time: 0.0190 memory: 8198 grad_norm: 6.9181 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0274 loss: 1.0274 2022/08/03 16:53:13 - mmengine - INFO - Epoch(train) [175][540/1879] lr: 1.0000e-04 eta: 12:09:01 time: 0.2850 data_time: 0.0242 memory: 8198 grad_norm: 7.0573 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8828 loss: 0.8828 2022/08/03 16:53:19 - mmengine - INFO - Epoch(train) [175][560/1879] lr: 1.0000e-04 eta: 12:08:56 time: 0.2966 data_time: 0.0301 memory: 8198 grad_norm: 6.9065 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7958 loss: 0.7958 2022/08/03 16:53:24 - mmengine - INFO - Epoch(train) [175][580/1879] lr: 1.0000e-04 eta: 12:08:50 time: 0.2887 data_time: 0.0253 memory: 8198 grad_norm: 7.1210 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0286 loss: 1.0286 2022/08/03 16:53:30 - mmengine - INFO - Epoch(train) [175][600/1879] lr: 1.0000e-04 eta: 12:08:44 time: 0.2850 data_time: 0.0230 memory: 8198 grad_norm: 6.8207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0086 loss: 1.0086 2022/08/03 16:53:36 - mmengine - INFO - Epoch(train) [175][620/1879] lr: 1.0000e-04 eta: 12:08:39 time: 0.2913 data_time: 0.0219 memory: 8198 grad_norm: 7.0692 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8464 loss: 0.8464 2022/08/03 16:53:42 - mmengine - INFO - Epoch(train) [175][640/1879] lr: 1.0000e-04 eta: 12:08:33 time: 0.2900 data_time: 0.0199 memory: 8198 grad_norm: 7.1384 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9176 loss: 0.9176 2022/08/03 16:53:48 - mmengine - INFO - Epoch(train) [175][660/1879] lr: 1.0000e-04 eta: 12:08:27 time: 0.2849 data_time: 0.0255 memory: 8198 grad_norm: 7.1803 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/08/03 16:53:53 - mmengine - INFO - Epoch(train) [175][680/1879] lr: 1.0000e-04 eta: 12:08:22 time: 0.2884 data_time: 0.0283 memory: 8198 grad_norm: 6.9602 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9802 loss: 0.9802 2022/08/03 16:54:00 - mmengine - INFO - Epoch(train) [175][700/1879] lr: 1.0000e-04 eta: 12:08:16 time: 0.3086 data_time: 0.0251 memory: 8198 grad_norm: 7.1468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9353 loss: 0.9353 2022/08/03 16:54:05 - mmengine - INFO - Epoch(train) [175][720/1879] lr: 1.0000e-04 eta: 12:08:11 time: 0.2815 data_time: 0.0192 memory: 8198 grad_norm: 7.0516 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9852 loss: 0.9852 2022/08/03 16:54:11 - mmengine - INFO - Epoch(train) [175][740/1879] lr: 1.0000e-04 eta: 12:08:05 time: 0.2998 data_time: 0.0213 memory: 8198 grad_norm: 7.0266 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0394 loss: 1.0394 2022/08/03 16:54:17 - mmengine - INFO - Epoch(train) [175][760/1879] lr: 1.0000e-04 eta: 12:07:59 time: 0.2838 data_time: 0.0244 memory: 8198 grad_norm: 6.9164 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9782 loss: 0.9782 2022/08/03 16:54:23 - mmengine - INFO - Epoch(train) [175][780/1879] lr: 1.0000e-04 eta: 12:07:54 time: 0.2830 data_time: 0.0210 memory: 8198 grad_norm: 7.1047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/08/03 16:54:29 - mmengine - INFO - Epoch(train) [175][800/1879] lr: 1.0000e-04 eta: 12:07:48 time: 0.3015 data_time: 0.0220 memory: 8198 grad_norm: 6.7768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8507 loss: 0.8507 2022/08/03 16:54:34 - mmengine - INFO - Epoch(train) [175][820/1879] lr: 1.0000e-04 eta: 12:07:42 time: 0.2826 data_time: 0.0243 memory: 8198 grad_norm: 6.9503 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/08/03 16:54:40 - mmengine - INFO - Epoch(train) [175][840/1879] lr: 1.0000e-04 eta: 12:07:37 time: 0.2870 data_time: 0.0245 memory: 8198 grad_norm: 6.8959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7815 loss: 0.7815 2022/08/03 16:54:46 - mmengine - INFO - Epoch(train) [175][860/1879] lr: 1.0000e-04 eta: 12:07:31 time: 0.2880 data_time: 0.0233 memory: 8198 grad_norm: 7.0023 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0936 loss: 1.0936 2022/08/03 16:54:52 - mmengine - INFO - Epoch(train) [175][880/1879] lr: 1.0000e-04 eta: 12:07:25 time: 0.2923 data_time: 0.0217 memory: 8198 grad_norm: 7.1171 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8892 loss: 0.8892 2022/08/03 16:54:58 - mmengine - INFO - Epoch(train) [175][900/1879] lr: 1.0000e-04 eta: 12:07:20 time: 0.2878 data_time: 0.0213 memory: 8198 grad_norm: 7.1455 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/03 16:55:03 - mmengine - INFO - Epoch(train) [175][920/1879] lr: 1.0000e-04 eta: 12:07:14 time: 0.2868 data_time: 0.0218 memory: 8198 grad_norm: 7.0134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9877 loss: 0.9877 2022/08/03 16:55:09 - mmengine - INFO - Epoch(train) [175][940/1879] lr: 1.0000e-04 eta: 12:07:08 time: 0.2925 data_time: 0.0229 memory: 8198 grad_norm: 6.8592 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/08/03 16:55:15 - mmengine - INFO - Epoch(train) [175][960/1879] lr: 1.0000e-04 eta: 12:07:03 time: 0.2826 data_time: 0.0215 memory: 8198 grad_norm: 6.9558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9898 loss: 0.9898 2022/08/03 16:55:21 - mmengine - INFO - Epoch(train) [175][980/1879] lr: 1.0000e-04 eta: 12:06:57 time: 0.2890 data_time: 0.0250 memory: 8198 grad_norm: 7.0618 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0354 loss: 1.0354 2022/08/03 16:55:27 - mmengine - INFO - Epoch(train) [175][1000/1879] lr: 1.0000e-04 eta: 12:06:51 time: 0.3076 data_time: 0.0260 memory: 8198 grad_norm: 6.9057 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9355 loss: 0.9355 2022/08/03 16:55:33 - mmengine - INFO - Epoch(train) [175][1020/1879] lr: 1.0000e-04 eta: 12:06:46 time: 0.2824 data_time: 0.0195 memory: 8198 grad_norm: 6.9566 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0463 loss: 1.0463 2022/08/03 16:55:38 - mmengine - INFO - Epoch(train) [175][1040/1879] lr: 1.0000e-04 eta: 12:06:40 time: 0.2848 data_time: 0.0249 memory: 8198 grad_norm: 6.9824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9492 loss: 0.9492 2022/08/03 16:55:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:55:44 - mmengine - INFO - Epoch(train) [175][1060/1879] lr: 1.0000e-04 eta: 12:06:34 time: 0.2855 data_time: 0.0199 memory: 8198 grad_norm: 7.1527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1428 loss: 1.1428 2022/08/03 16:55:50 - mmengine - INFO - Epoch(train) [175][1080/1879] lr: 1.0000e-04 eta: 12:06:29 time: 0.2955 data_time: 0.0205 memory: 8198 grad_norm: 7.0307 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0704 loss: 1.0704 2022/08/03 16:55:56 - mmengine - INFO - Epoch(train) [175][1100/1879] lr: 1.0000e-04 eta: 12:06:23 time: 0.2852 data_time: 0.0228 memory: 8198 grad_norm: 7.2143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/08/03 16:56:01 - mmengine - INFO - Epoch(train) [175][1120/1879] lr: 1.0000e-04 eta: 12:06:17 time: 0.2868 data_time: 0.0223 memory: 8198 grad_norm: 6.8811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/08/03 16:56:07 - mmengine - INFO - Epoch(train) [175][1140/1879] lr: 1.0000e-04 eta: 12:06:12 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 7.2502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1322 loss: 1.1322 2022/08/03 16:56:13 - mmengine - INFO - Epoch(train) [175][1160/1879] lr: 1.0000e-04 eta: 12:06:06 time: 0.2866 data_time: 0.0261 memory: 8198 grad_norm: 6.9083 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0068 loss: 1.0068 2022/08/03 16:56:19 - mmengine - INFO - Epoch(train) [175][1180/1879] lr: 1.0000e-04 eta: 12:06:00 time: 0.2889 data_time: 0.0210 memory: 8198 grad_norm: 7.0363 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9742 loss: 0.9742 2022/08/03 16:56:24 - mmengine - INFO - Epoch(train) [175][1200/1879] lr: 1.0000e-04 eta: 12:05:55 time: 0.2827 data_time: 0.0166 memory: 8198 grad_norm: 6.8576 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/08/03 16:56:30 - mmengine - INFO - Epoch(train) [175][1220/1879] lr: 1.0000e-04 eta: 12:05:49 time: 0.2848 data_time: 0.0246 memory: 8198 grad_norm: 6.8927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8904 loss: 0.8904 2022/08/03 16:56:36 - mmengine - INFO - Epoch(train) [175][1240/1879] lr: 1.0000e-04 eta: 12:05:43 time: 0.2843 data_time: 0.0187 memory: 8198 grad_norm: 7.0504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8882 loss: 0.8882 2022/08/03 16:56:42 - mmengine - INFO - Epoch(train) [175][1260/1879] lr: 1.0000e-04 eta: 12:05:38 time: 0.2928 data_time: 0.0308 memory: 8198 grad_norm: 6.9250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9897 loss: 0.9897 2022/08/03 16:56:47 - mmengine - INFO - Epoch(train) [175][1280/1879] lr: 1.0000e-04 eta: 12:05:32 time: 0.2851 data_time: 0.0216 memory: 8198 grad_norm: 7.0976 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/08/03 16:56:53 - mmengine - INFO - Epoch(train) [175][1300/1879] lr: 1.0000e-04 eta: 12:05:26 time: 0.2872 data_time: 0.0195 memory: 8198 grad_norm: 7.1464 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9672 loss: 0.9672 2022/08/03 16:56:59 - mmengine - INFO - Epoch(train) [175][1320/1879] lr: 1.0000e-04 eta: 12:05:21 time: 0.2971 data_time: 0.0270 memory: 8198 grad_norm: 7.0578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9315 loss: 0.9315 2022/08/03 16:57:05 - mmengine - INFO - Epoch(train) [175][1340/1879] lr: 1.0000e-04 eta: 12:05:15 time: 0.2803 data_time: 0.0212 memory: 8198 grad_norm: 6.9371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/08/03 16:57:11 - mmengine - INFO - Epoch(train) [175][1360/1879] lr: 1.0000e-04 eta: 12:05:09 time: 0.2845 data_time: 0.0209 memory: 8198 grad_norm: 7.0057 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1663 loss: 1.1663 2022/08/03 16:57:16 - mmengine - INFO - Epoch(train) [175][1380/1879] lr: 1.0000e-04 eta: 12:05:03 time: 0.2853 data_time: 0.0227 memory: 8198 grad_norm: 6.9710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/08/03 16:57:22 - mmengine - INFO - Epoch(train) [175][1400/1879] lr: 1.0000e-04 eta: 12:04:58 time: 0.2960 data_time: 0.0267 memory: 8198 grad_norm: 7.0373 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9142 loss: 0.9142 2022/08/03 16:57:28 - mmengine - INFO - Epoch(train) [175][1420/1879] lr: 1.0000e-04 eta: 12:04:52 time: 0.2851 data_time: 0.0227 memory: 8198 grad_norm: 7.0822 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0626 loss: 1.0626 2022/08/03 16:57:34 - mmengine - INFO - Epoch(train) [175][1440/1879] lr: 1.0000e-04 eta: 12:04:47 time: 0.2862 data_time: 0.0235 memory: 8198 grad_norm: 6.9462 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0857 loss: 1.0857 2022/08/03 16:57:39 - mmengine - INFO - Epoch(train) [175][1460/1879] lr: 1.0000e-04 eta: 12:04:41 time: 0.2883 data_time: 0.0189 memory: 8198 grad_norm: 6.7809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9664 loss: 0.9664 2022/08/03 16:57:45 - mmengine - INFO - Epoch(train) [175][1480/1879] lr: 1.0000e-04 eta: 12:04:35 time: 0.2861 data_time: 0.0287 memory: 8198 grad_norm: 7.0996 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8853 loss: 0.8853 2022/08/03 16:57:51 - mmengine - INFO - Epoch(train) [175][1500/1879] lr: 1.0000e-04 eta: 12:04:29 time: 0.2877 data_time: 0.0180 memory: 8198 grad_norm: 6.9353 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8867 loss: 0.8867 2022/08/03 16:57:57 - mmengine - INFO - Epoch(train) [175][1520/1879] lr: 1.0000e-04 eta: 12:04:24 time: 0.2934 data_time: 0.0263 memory: 8198 grad_norm: 6.8288 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0018 loss: 1.0018 2022/08/03 16:58:03 - mmengine - INFO - Epoch(train) [175][1540/1879] lr: 1.0000e-04 eta: 12:04:18 time: 0.2839 data_time: 0.0204 memory: 8198 grad_norm: 7.1098 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9561 loss: 0.9561 2022/08/03 16:58:08 - mmengine - INFO - Epoch(train) [175][1560/1879] lr: 1.0000e-04 eta: 12:04:12 time: 0.2853 data_time: 0.0227 memory: 8198 grad_norm: 7.2716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9726 loss: 0.9726 2022/08/03 16:58:14 - mmengine - INFO - Epoch(train) [175][1580/1879] lr: 1.0000e-04 eta: 12:04:07 time: 0.2846 data_time: 0.0259 memory: 8198 grad_norm: 7.1949 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1275 loss: 1.1275 2022/08/03 16:58:20 - mmengine - INFO - Epoch(train) [175][1600/1879] lr: 1.0000e-04 eta: 12:04:01 time: 0.2882 data_time: 0.0243 memory: 8198 grad_norm: 6.8813 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0443 loss: 1.0443 2022/08/03 16:58:26 - mmengine - INFO - Epoch(train) [175][1620/1879] lr: 1.0000e-04 eta: 12:03:55 time: 0.2847 data_time: 0.0201 memory: 8198 grad_norm: 7.1246 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9222 loss: 0.9222 2022/08/03 16:58:31 - mmengine - INFO - Epoch(train) [175][1640/1879] lr: 1.0000e-04 eta: 12:03:50 time: 0.2858 data_time: 0.0271 memory: 8198 grad_norm: 7.0526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8410 loss: 0.8410 2022/08/03 16:58:38 - mmengine - INFO - Epoch(train) [175][1660/1879] lr: 1.0000e-04 eta: 12:03:44 time: 0.3141 data_time: 0.0215 memory: 8198 grad_norm: 6.9844 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9784 loss: 0.9784 2022/08/03 16:58:43 - mmengine - INFO - Epoch(train) [175][1680/1879] lr: 1.0000e-04 eta: 12:03:39 time: 0.2835 data_time: 0.0239 memory: 8198 grad_norm: 7.0153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8523 loss: 0.8523 2022/08/03 16:58:49 - mmengine - INFO - Epoch(train) [175][1700/1879] lr: 1.0000e-04 eta: 12:03:33 time: 0.2932 data_time: 0.0303 memory: 8198 grad_norm: 7.1051 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1462 loss: 1.1462 2022/08/03 16:58:55 - mmengine - INFO - Epoch(train) [175][1720/1879] lr: 1.0000e-04 eta: 12:03:27 time: 0.2851 data_time: 0.0214 memory: 8198 grad_norm: 6.9043 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7946 loss: 0.7946 2022/08/03 16:59:01 - mmengine - INFO - Epoch(train) [175][1740/1879] lr: 1.0000e-04 eta: 12:03:22 time: 0.2917 data_time: 0.0220 memory: 8198 grad_norm: 6.7841 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/08/03 16:59:06 - mmengine - INFO - Epoch(train) [175][1760/1879] lr: 1.0000e-04 eta: 12:03:16 time: 0.2847 data_time: 0.0196 memory: 8198 grad_norm: 7.0175 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/08/03 16:59:12 - mmengine - INFO - Epoch(train) [175][1780/1879] lr: 1.0000e-04 eta: 12:03:10 time: 0.2861 data_time: 0.0221 memory: 8198 grad_norm: 6.9511 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0171 loss: 1.0171 2022/08/03 16:59:18 - mmengine - INFO - Epoch(train) [175][1800/1879] lr: 1.0000e-04 eta: 12:03:05 time: 0.3033 data_time: 0.0240 memory: 8198 grad_norm: 7.0095 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/03 16:59:24 - mmengine - INFO - Epoch(train) [175][1820/1879] lr: 1.0000e-04 eta: 12:02:59 time: 0.2828 data_time: 0.0178 memory: 8198 grad_norm: 7.1180 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/08/03 16:59:30 - mmengine - INFO - Epoch(train) [175][1840/1879] lr: 1.0000e-04 eta: 12:02:53 time: 0.2898 data_time: 0.0201 memory: 8198 grad_norm: 6.9393 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8024 loss: 0.8024 2022/08/03 16:59:35 - mmengine - INFO - Epoch(train) [175][1860/1879] lr: 1.0000e-04 eta: 12:02:48 time: 0.2800 data_time: 0.0220 memory: 8198 grad_norm: 7.0774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0861 loss: 1.0861 2022/08/03 16:59:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 16:59:41 - mmengine - INFO - Epoch(train) [175][1879/1879] lr: 1.0000e-04 eta: 12:02:48 time: 0.2669 data_time: 0.0163 memory: 8198 grad_norm: 7.7480 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0296 loss: 1.0296 2022/08/03 16:59:47 - mmengine - INFO - Epoch(val) [175][20/155] eta: 0:00:46 time: 0.3476 data_time: 0.2563 memory: 1514 2022/08/03 16:59:53 - mmengine - INFO - Epoch(val) [175][40/155] eta: 0:00:30 time: 0.2634 data_time: 0.1787 memory: 1514 2022/08/03 16:59:58 - mmengine - INFO - Epoch(val) [175][60/155] eta: 0:00:25 time: 0.2651 data_time: 0.1685 memory: 1514 2022/08/03 17:00:03 - mmengine - INFO - Epoch(val) [175][80/155] eta: 0:00:20 time: 0.2700 data_time: 0.1858 memory: 1514 2022/08/03 17:00:09 - mmengine - INFO - Epoch(val) [175][100/155] eta: 0:00:15 time: 0.2893 data_time: 0.2015 memory: 1514 2022/08/03 17:00:14 - mmengine - INFO - Epoch(val) [175][120/155] eta: 0:00:08 time: 0.2549 data_time: 0.1664 memory: 1514 2022/08/03 17:00:20 - mmengine - INFO - Epoch(val) [175][140/155] eta: 0:00:03 time: 0.2601 data_time: 0.1738 memory: 1514 2022/08/03 17:00:27 - mmengine - INFO - Epoch(val) [175][155/155] acc/top1: 0.6793 acc/top5: 0.8701 acc/mean1: 0.6792 2022/08/03 17:00:35 - mmengine - INFO - Epoch(train) [176][20/1879] lr: 1.0000e-04 eta: 12:02:35 time: 0.4133 data_time: 0.1076 memory: 8198 grad_norm: 7.1538 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1424 loss: 1.1424 2022/08/03 17:00:41 - mmengine - INFO - Epoch(train) [176][40/1879] lr: 1.0000e-04 eta: 12:02:30 time: 0.2895 data_time: 0.0216 memory: 8198 grad_norm: 7.0037 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0011 loss: 1.0011 2022/08/03 17:00:47 - mmengine - INFO - Epoch(train) [176][60/1879] lr: 1.0000e-04 eta: 12:02:24 time: 0.2925 data_time: 0.0274 memory: 8198 grad_norm: 7.0861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9604 loss: 0.9604 2022/08/03 17:00:53 - mmengine - INFO - Epoch(train) [176][80/1879] lr: 1.0000e-04 eta: 12:02:18 time: 0.2847 data_time: 0.0204 memory: 8198 grad_norm: 6.9079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/08/03 17:00:58 - mmengine - INFO - Epoch(train) [176][100/1879] lr: 1.0000e-04 eta: 12:02:12 time: 0.2868 data_time: 0.0241 memory: 8198 grad_norm: 7.0641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0395 loss: 1.0395 2022/08/03 17:01:04 - mmengine - INFO - Epoch(train) [176][120/1879] lr: 1.0000e-04 eta: 12:02:07 time: 0.3003 data_time: 0.0196 memory: 8198 grad_norm: 7.0035 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9833 loss: 0.9833 2022/08/03 17:01:10 - mmengine - INFO - Epoch(train) [176][140/1879] lr: 1.0000e-04 eta: 12:02:01 time: 0.2839 data_time: 0.0235 memory: 8198 grad_norm: 7.0188 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0630 loss: 1.0630 2022/08/03 17:01:16 - mmengine - INFO - Epoch(train) [176][160/1879] lr: 1.0000e-04 eta: 12:01:56 time: 0.2869 data_time: 0.0251 memory: 8198 grad_norm: 7.1863 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0619 loss: 1.0619 2022/08/03 17:01:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:01:22 - mmengine - INFO - Epoch(train) [176][180/1879] lr: 1.0000e-04 eta: 12:01:50 time: 0.2937 data_time: 0.0234 memory: 8198 grad_norm: 7.0413 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/08/03 17:01:27 - mmengine - INFO - Epoch(train) [176][200/1879] lr: 1.0000e-04 eta: 12:01:44 time: 0.2857 data_time: 0.0208 memory: 8198 grad_norm: 6.7269 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9173 loss: 0.9173 2022/08/03 17:01:33 - mmengine - INFO - Epoch(train) [176][220/1879] lr: 1.0000e-04 eta: 12:01:39 time: 0.2845 data_time: 0.0219 memory: 8198 grad_norm: 6.9850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9977 loss: 0.9977 2022/08/03 17:01:39 - mmengine - INFO - Epoch(train) [176][240/1879] lr: 1.0000e-04 eta: 12:01:33 time: 0.2870 data_time: 0.0242 memory: 8198 grad_norm: 7.1922 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1053 loss: 1.1053 2022/08/03 17:01:45 - mmengine - INFO - Epoch(train) [176][260/1879] lr: 1.0000e-04 eta: 12:01:27 time: 0.2898 data_time: 0.0242 memory: 8198 grad_norm: 6.8902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9456 loss: 0.9456 2022/08/03 17:01:50 - mmengine - INFO - Epoch(train) [176][280/1879] lr: 1.0000e-04 eta: 12:01:22 time: 0.2863 data_time: 0.0203 memory: 8198 grad_norm: 7.0456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9671 loss: 0.9671 2022/08/03 17:01:56 - mmengine - INFO - Epoch(train) [176][300/1879] lr: 1.0000e-04 eta: 12:01:16 time: 0.2866 data_time: 0.0222 memory: 8198 grad_norm: 6.9370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8904 loss: 0.8904 2022/08/03 17:02:02 - mmengine - INFO - Epoch(train) [176][320/1879] lr: 1.0000e-04 eta: 12:01:10 time: 0.2846 data_time: 0.0217 memory: 8198 grad_norm: 7.2145 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0820 loss: 1.0820 2022/08/03 17:02:08 - mmengine - INFO - Epoch(train) [176][340/1879] lr: 1.0000e-04 eta: 12:01:05 time: 0.3102 data_time: 0.0239 memory: 8198 grad_norm: 7.0514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9958 loss: 0.9958 2022/08/03 17:02:14 - mmengine - INFO - Epoch(train) [176][360/1879] lr: 1.0000e-04 eta: 12:00:59 time: 0.2819 data_time: 0.0205 memory: 8198 grad_norm: 6.8492 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/03 17:02:20 - mmengine - INFO - Epoch(train) [176][380/1879] lr: 1.0000e-04 eta: 12:00:53 time: 0.2836 data_time: 0.0202 memory: 8198 grad_norm: 6.9637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1523 loss: 1.1523 2022/08/03 17:02:25 - mmengine - INFO - Epoch(train) [176][400/1879] lr: 1.0000e-04 eta: 12:00:48 time: 0.2838 data_time: 0.0229 memory: 8198 grad_norm: 7.1121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9726 loss: 0.9726 2022/08/03 17:02:31 - mmengine - INFO - Epoch(train) [176][420/1879] lr: 1.0000e-04 eta: 12:00:42 time: 0.2927 data_time: 0.0249 memory: 8198 grad_norm: 6.9000 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0087 loss: 1.0087 2022/08/03 17:02:37 - mmengine - INFO - Epoch(train) [176][440/1879] lr: 1.0000e-04 eta: 12:00:36 time: 0.2848 data_time: 0.0223 memory: 8198 grad_norm: 6.9415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8750 loss: 0.8750 2022/08/03 17:02:43 - mmengine - INFO - Epoch(train) [176][460/1879] lr: 1.0000e-04 eta: 12:00:31 time: 0.2841 data_time: 0.0201 memory: 8198 grad_norm: 7.1436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0469 loss: 1.0469 2022/08/03 17:02:49 - mmengine - INFO - Epoch(train) [176][480/1879] lr: 1.0000e-04 eta: 12:00:25 time: 0.3045 data_time: 0.0204 memory: 8198 grad_norm: 7.0908 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1943 loss: 1.1943 2022/08/03 17:02:54 - mmengine - INFO - Epoch(train) [176][500/1879] lr: 1.0000e-04 eta: 12:00:19 time: 0.2827 data_time: 0.0241 memory: 8198 grad_norm: 6.9373 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8823 loss: 0.8823 2022/08/03 17:03:00 - mmengine - INFO - Epoch(train) [176][520/1879] lr: 1.0000e-04 eta: 12:00:14 time: 0.2863 data_time: 0.0259 memory: 8198 grad_norm: 7.0817 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9618 loss: 0.9618 2022/08/03 17:03:06 - mmengine - INFO - Epoch(train) [176][540/1879] lr: 1.0000e-04 eta: 12:00:08 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 7.0449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0113 loss: 1.0113 2022/08/03 17:03:12 - mmengine - INFO - Epoch(train) [176][560/1879] lr: 1.0000e-04 eta: 12:00:02 time: 0.2942 data_time: 0.0271 memory: 8198 grad_norm: 7.0067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/08/03 17:03:17 - mmengine - INFO - Epoch(train) [176][580/1879] lr: 1.0000e-04 eta: 11:59:57 time: 0.2867 data_time: 0.0232 memory: 8198 grad_norm: 7.0597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0121 loss: 1.0121 2022/08/03 17:03:23 - mmengine - INFO - Epoch(train) [176][600/1879] lr: 1.0000e-04 eta: 11:59:51 time: 0.2849 data_time: 0.0195 memory: 8198 grad_norm: 6.8898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9012 loss: 0.9012 2022/08/03 17:03:29 - mmengine - INFO - Epoch(train) [176][620/1879] lr: 1.0000e-04 eta: 11:59:45 time: 0.3117 data_time: 0.0294 memory: 8198 grad_norm: 7.0097 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8876 loss: 0.8876 2022/08/03 17:03:35 - mmengine - INFO - Epoch(train) [176][640/1879] lr: 1.0000e-04 eta: 11:59:40 time: 0.2840 data_time: 0.0215 memory: 8198 grad_norm: 6.9707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1320 loss: 1.1320 2022/08/03 17:03:41 - mmengine - INFO - Epoch(train) [176][660/1879] lr: 1.0000e-04 eta: 11:59:34 time: 0.2831 data_time: 0.0201 memory: 8198 grad_norm: 7.0172 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8673 loss: 0.8673 2022/08/03 17:03:47 - mmengine - INFO - Epoch(train) [176][680/1879] lr: 1.0000e-04 eta: 11:59:28 time: 0.2857 data_time: 0.0222 memory: 8198 grad_norm: 7.0208 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9272 loss: 0.9272 2022/08/03 17:03:52 - mmengine - INFO - Epoch(train) [176][700/1879] lr: 1.0000e-04 eta: 11:59:23 time: 0.2940 data_time: 0.0191 memory: 8198 grad_norm: 7.0453 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0199 loss: 1.0199 2022/08/03 17:03:58 - mmengine - INFO - Epoch(train) [176][720/1879] lr: 1.0000e-04 eta: 11:59:17 time: 0.2828 data_time: 0.0205 memory: 8198 grad_norm: 7.2661 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0965 loss: 1.0965 2022/08/03 17:04:04 - mmengine - INFO - Epoch(train) [176][740/1879] lr: 1.0000e-04 eta: 11:59:11 time: 0.2876 data_time: 0.0258 memory: 8198 grad_norm: 7.1836 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0846 loss: 1.0846 2022/08/03 17:04:10 - mmengine - INFO - Epoch(train) [176][760/1879] lr: 1.0000e-04 eta: 11:59:06 time: 0.2919 data_time: 0.0245 memory: 8198 grad_norm: 7.0040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8818 loss: 0.8818 2022/08/03 17:04:15 - mmengine - INFO - Epoch(train) [176][780/1879] lr: 1.0000e-04 eta: 11:59:00 time: 0.2844 data_time: 0.0218 memory: 8198 grad_norm: 6.9322 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0736 loss: 1.0736 2022/08/03 17:04:21 - mmengine - INFO - Epoch(train) [176][800/1879] lr: 1.0000e-04 eta: 11:58:54 time: 0.2910 data_time: 0.0209 memory: 8198 grad_norm: 6.8208 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7333 loss: 0.7333 2022/08/03 17:04:27 - mmengine - INFO - Epoch(train) [176][820/1879] lr: 1.0000e-04 eta: 11:58:49 time: 0.2858 data_time: 0.0215 memory: 8198 grad_norm: 6.9852 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0497 loss: 1.0497 2022/08/03 17:04:33 - mmengine - INFO - Epoch(train) [176][840/1879] lr: 1.0000e-04 eta: 11:58:43 time: 0.2875 data_time: 0.0246 memory: 8198 grad_norm: 7.0651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9467 loss: 0.9467 2022/08/03 17:04:39 - mmengine - INFO - Epoch(train) [176][860/1879] lr: 1.0000e-04 eta: 11:58:37 time: 0.2994 data_time: 0.0225 memory: 8198 grad_norm: 6.9524 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0293 loss: 1.0293 2022/08/03 17:04:45 - mmengine - INFO - Epoch(train) [176][880/1879] lr: 1.0000e-04 eta: 11:58:32 time: 0.2876 data_time: 0.0231 memory: 8198 grad_norm: 6.9924 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0796 loss: 1.0796 2022/08/03 17:04:50 - mmengine - INFO - Epoch(train) [176][900/1879] lr: 1.0000e-04 eta: 11:58:26 time: 0.2856 data_time: 0.0206 memory: 8198 grad_norm: 7.1188 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1449 loss: 1.1449 2022/08/03 17:04:56 - mmengine - INFO - Epoch(train) [176][920/1879] lr: 1.0000e-04 eta: 11:58:20 time: 0.2848 data_time: 0.0245 memory: 8198 grad_norm: 7.1833 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8388 loss: 0.8388 2022/08/03 17:05:02 - mmengine - INFO - Epoch(train) [176][940/1879] lr: 1.0000e-04 eta: 11:58:15 time: 0.2860 data_time: 0.0249 memory: 8198 grad_norm: 6.8008 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8318 loss: 0.8318 2022/08/03 17:05:07 - mmengine - INFO - Epoch(train) [176][960/1879] lr: 1.0000e-04 eta: 11:58:09 time: 0.2828 data_time: 0.0204 memory: 8198 grad_norm: 6.8166 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9357 loss: 0.9357 2022/08/03 17:05:13 - mmengine - INFO - Epoch(train) [176][980/1879] lr: 1.0000e-04 eta: 11:58:03 time: 0.2834 data_time: 0.0224 memory: 8198 grad_norm: 6.7126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/03 17:05:19 - mmengine - INFO - Epoch(train) [176][1000/1879] lr: 1.0000e-04 eta: 11:57:58 time: 0.2907 data_time: 0.0192 memory: 8198 grad_norm: 7.1748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/08/03 17:05:25 - mmengine - INFO - Epoch(train) [176][1020/1879] lr: 1.0000e-04 eta: 11:57:52 time: 0.2862 data_time: 0.0226 memory: 8198 grad_norm: 6.9865 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8514 loss: 0.8514 2022/08/03 17:05:31 - mmengine - INFO - Epoch(train) [176][1040/1879] lr: 1.0000e-04 eta: 11:57:46 time: 0.2957 data_time: 0.0267 memory: 8198 grad_norm: 6.8757 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/08/03 17:05:36 - mmengine - INFO - Epoch(train) [176][1060/1879] lr: 1.0000e-04 eta: 11:57:41 time: 0.2807 data_time: 0.0185 memory: 8198 grad_norm: 7.0018 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0427 loss: 1.0427 2022/08/03 17:05:42 - mmengine - INFO - Epoch(train) [176][1080/1879] lr: 1.0000e-04 eta: 11:57:35 time: 0.2948 data_time: 0.0219 memory: 8198 grad_norm: 6.9570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7748 loss: 0.7748 2022/08/03 17:05:48 - mmengine - INFO - Epoch(train) [176][1100/1879] lr: 1.0000e-04 eta: 11:57:29 time: 0.2916 data_time: 0.0256 memory: 8198 grad_norm: 7.0786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8934 loss: 0.8934 2022/08/03 17:05:54 - mmengine - INFO - Epoch(train) [176][1120/1879] lr: 1.0000e-04 eta: 11:57:24 time: 0.2853 data_time: 0.0199 memory: 8198 grad_norm: 7.1588 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0184 loss: 1.0184 2022/08/03 17:06:00 - mmengine - INFO - Epoch(train) [176][1140/1879] lr: 1.0000e-04 eta: 11:57:18 time: 0.2991 data_time: 0.0252 memory: 8198 grad_norm: 7.2805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0523 loss: 1.0523 2022/08/03 17:06:06 - mmengine - INFO - Epoch(train) [176][1160/1879] lr: 1.0000e-04 eta: 11:57:12 time: 0.2830 data_time: 0.0220 memory: 8198 grad_norm: 6.6737 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9401 loss: 0.9401 2022/08/03 17:06:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:06:11 - mmengine - INFO - Epoch(train) [176][1180/1879] lr: 1.0000e-04 eta: 11:57:07 time: 0.2916 data_time: 0.0243 memory: 8198 grad_norm: 6.9626 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9267 loss: 0.9267 2022/08/03 17:06:17 - mmengine - INFO - Epoch(train) [176][1200/1879] lr: 1.0000e-04 eta: 11:57:01 time: 0.2887 data_time: 0.0226 memory: 8198 grad_norm: 6.9039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/08/03 17:06:23 - mmengine - INFO - Epoch(train) [176][1220/1879] lr: 1.0000e-04 eta: 11:56:55 time: 0.2901 data_time: 0.0240 memory: 8198 grad_norm: 6.8372 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9272 loss: 0.9272 2022/08/03 17:06:29 - mmengine - INFO - Epoch(train) [176][1240/1879] lr: 1.0000e-04 eta: 11:56:50 time: 0.2909 data_time: 0.0206 memory: 8198 grad_norm: 6.9111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/08/03 17:06:35 - mmengine - INFO - Epoch(train) [176][1260/1879] lr: 1.0000e-04 eta: 11:56:44 time: 0.2850 data_time: 0.0240 memory: 8198 grad_norm: 7.0727 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1549 loss: 1.1549 2022/08/03 17:06:41 - mmengine - INFO - Epoch(train) [176][1280/1879] lr: 1.0000e-04 eta: 11:56:38 time: 0.2969 data_time: 0.0232 memory: 8198 grad_norm: 6.9595 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9239 loss: 0.9239 2022/08/03 17:06:46 - mmengine - INFO - Epoch(train) [176][1300/1879] lr: 1.0000e-04 eta: 11:56:33 time: 0.2841 data_time: 0.0215 memory: 8198 grad_norm: 6.9805 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0466 loss: 1.0466 2022/08/03 17:06:52 - mmengine - INFO - Epoch(train) [176][1320/1879] lr: 1.0000e-04 eta: 11:56:27 time: 0.2860 data_time: 0.0266 memory: 8198 grad_norm: 6.9395 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/08/03 17:06:59 - mmengine - INFO - Epoch(train) [176][1340/1879] lr: 1.0000e-04 eta: 11:56:22 time: 0.3304 data_time: 0.0243 memory: 8198 grad_norm: 7.0491 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0195 loss: 1.0195 2022/08/03 17:07:04 - mmengine - INFO - Epoch(train) [176][1360/1879] lr: 1.0000e-04 eta: 11:56:16 time: 0.2772 data_time: 0.0185 memory: 8198 grad_norm: 6.8091 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0037 loss: 1.0037 2022/08/03 17:07:10 - mmengine - INFO - Epoch(train) [176][1380/1879] lr: 1.0000e-04 eta: 11:56:10 time: 0.2874 data_time: 0.0245 memory: 8198 grad_norm: 6.9856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1548 loss: 1.1548 2022/08/03 17:07:16 - mmengine - INFO - Epoch(train) [176][1400/1879] lr: 1.0000e-04 eta: 11:56:05 time: 0.2875 data_time: 0.0233 memory: 8198 grad_norm: 6.7605 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9423 loss: 0.9423 2022/08/03 17:07:22 - mmengine - INFO - Epoch(train) [176][1420/1879] lr: 1.0000e-04 eta: 11:55:59 time: 0.3043 data_time: 0.0309 memory: 8198 grad_norm: 7.0510 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0083 loss: 1.0083 2022/08/03 17:07:28 - mmengine - INFO - Epoch(train) [176][1440/1879] lr: 1.0000e-04 eta: 11:55:53 time: 0.2839 data_time: 0.0182 memory: 8198 grad_norm: 7.0810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/03 17:07:33 - mmengine - INFO - Epoch(train) [176][1460/1879] lr: 1.0000e-04 eta: 11:55:48 time: 0.2823 data_time: 0.0226 memory: 8198 grad_norm: 6.9429 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9431 loss: 0.9431 2022/08/03 17:07:40 - mmengine - INFO - Epoch(train) [176][1480/1879] lr: 1.0000e-04 eta: 11:55:42 time: 0.3217 data_time: 0.0248 memory: 8198 grad_norm: 6.8747 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0253 loss: 1.0253 2022/08/03 17:07:45 - mmengine - INFO - Epoch(train) [176][1500/1879] lr: 1.0000e-04 eta: 11:55:37 time: 0.2830 data_time: 0.0217 memory: 8198 grad_norm: 6.9313 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8840 loss: 0.8840 2022/08/03 17:07:51 - mmengine - INFO - Epoch(train) [176][1520/1879] lr: 1.0000e-04 eta: 11:55:31 time: 0.2840 data_time: 0.0205 memory: 8198 grad_norm: 7.1215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1035 loss: 1.1035 2022/08/03 17:07:57 - mmengine - INFO - Epoch(train) [176][1540/1879] lr: 1.0000e-04 eta: 11:55:25 time: 0.2882 data_time: 0.0271 memory: 8198 grad_norm: 7.1081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9080 loss: 0.9080 2022/08/03 17:08:03 - mmengine - INFO - Epoch(train) [176][1560/1879] lr: 1.0000e-04 eta: 11:55:20 time: 0.2912 data_time: 0.0263 memory: 8198 grad_norm: 6.9120 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7733 loss: 0.7733 2022/08/03 17:08:08 - mmengine - INFO - Epoch(train) [176][1580/1879] lr: 1.0000e-04 eta: 11:55:14 time: 0.2853 data_time: 0.0263 memory: 8198 grad_norm: 7.0958 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/08/03 17:08:14 - mmengine - INFO - Epoch(train) [176][1600/1879] lr: 1.0000e-04 eta: 11:55:08 time: 0.2835 data_time: 0.0249 memory: 8198 grad_norm: 7.0177 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8150 loss: 0.8150 2022/08/03 17:08:20 - mmengine - INFO - Epoch(train) [176][1620/1879] lr: 1.0000e-04 eta: 11:55:03 time: 0.2992 data_time: 0.0235 memory: 8198 grad_norm: 6.9433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/08/03 17:08:26 - mmengine - INFO - Epoch(train) [176][1640/1879] lr: 1.0000e-04 eta: 11:54:57 time: 0.2823 data_time: 0.0197 memory: 8198 grad_norm: 7.4403 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0275 loss: 1.0275 2022/08/03 17:08:32 - mmengine - INFO - Epoch(train) [176][1660/1879] lr: 1.0000e-04 eta: 11:54:51 time: 0.2842 data_time: 0.0259 memory: 8198 grad_norm: 7.1586 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/08/03 17:08:37 - mmengine - INFO - Epoch(train) [176][1680/1879] lr: 1.0000e-04 eta: 11:54:46 time: 0.2858 data_time: 0.0269 memory: 8198 grad_norm: 6.8956 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/08/03 17:08:43 - mmengine - INFO - Epoch(train) [176][1700/1879] lr: 1.0000e-04 eta: 11:54:40 time: 0.2891 data_time: 0.0243 memory: 8198 grad_norm: 7.0280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9831 loss: 0.9831 2022/08/03 17:08:49 - mmengine - INFO - Epoch(train) [176][1720/1879] lr: 1.0000e-04 eta: 11:54:34 time: 0.2879 data_time: 0.0245 memory: 8198 grad_norm: 7.0013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/08/03 17:08:55 - mmengine - INFO - Epoch(train) [176][1740/1879] lr: 1.0000e-04 eta: 11:54:28 time: 0.2824 data_time: 0.0214 memory: 8198 grad_norm: 6.9829 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0530 loss: 1.0530 2022/08/03 17:09:01 - mmengine - INFO - Epoch(train) [176][1760/1879] lr: 1.0000e-04 eta: 11:54:23 time: 0.3082 data_time: 0.0230 memory: 8198 grad_norm: 6.9971 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1009 loss: 1.1009 2022/08/03 17:09:06 - mmengine - INFO - Epoch(train) [176][1780/1879] lr: 1.0000e-04 eta: 11:54:17 time: 0.2859 data_time: 0.0218 memory: 8198 grad_norm: 7.3337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0350 loss: 1.0350 2022/08/03 17:09:12 - mmengine - INFO - Epoch(train) [176][1800/1879] lr: 1.0000e-04 eta: 11:54:12 time: 0.2842 data_time: 0.0209 memory: 8198 grad_norm: 6.8120 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0355 loss: 1.0355 2022/08/03 17:09:19 - mmengine - INFO - Epoch(train) [176][1820/1879] lr: 1.0000e-04 eta: 11:54:06 time: 0.3162 data_time: 0.0269 memory: 8198 grad_norm: 6.9235 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/08/03 17:09:24 - mmengine - INFO - Epoch(train) [176][1840/1879] lr: 1.0000e-04 eta: 11:54:00 time: 0.2803 data_time: 0.0185 memory: 8198 grad_norm: 7.1717 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9308 loss: 0.9308 2022/08/03 17:09:30 - mmengine - INFO - Epoch(train) [176][1860/1879] lr: 1.0000e-04 eta: 11:53:55 time: 0.2848 data_time: 0.0243 memory: 8198 grad_norm: 7.0642 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9502 loss: 0.9502 2022/08/03 17:09:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:09:35 - mmengine - INFO - Epoch(train) [176][1879/1879] lr: 1.0000e-04 eta: 11:53:55 time: 0.2622 data_time: 0.0203 memory: 8198 grad_norm: 7.0640 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9144 loss: 0.9144 2022/08/03 17:09:35 - mmengine - INFO - Saving checkpoint at 176 epochs 2022/08/03 17:09:45 - mmengine - INFO - Epoch(train) [177][20/1879] lr: 1.0000e-04 eta: 11:53:42 time: 0.3730 data_time: 0.1141 memory: 8198 grad_norm: 6.8483 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0915 loss: 1.0915 2022/08/03 17:09:51 - mmengine - INFO - Epoch(train) [177][40/1879] lr: 1.0000e-04 eta: 11:53:36 time: 0.2925 data_time: 0.0187 memory: 8198 grad_norm: 6.9288 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7817 loss: 0.7817 2022/08/03 17:09:56 - mmengine - INFO - Epoch(train) [177][60/1879] lr: 1.0000e-04 eta: 11:53:31 time: 0.2831 data_time: 0.0188 memory: 8198 grad_norm: 6.9651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9971 loss: 0.9971 2022/08/03 17:10:02 - mmengine - INFO - Epoch(train) [177][80/1879] lr: 1.0000e-04 eta: 11:53:25 time: 0.2886 data_time: 0.0203 memory: 8198 grad_norm: 7.0759 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/08/03 17:10:08 - mmengine - INFO - Epoch(train) [177][100/1879] lr: 1.0000e-04 eta: 11:53:19 time: 0.2889 data_time: 0.0257 memory: 8198 grad_norm: 6.9807 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0331 loss: 1.0331 2022/08/03 17:10:14 - mmengine - INFO - Epoch(train) [177][120/1879] lr: 1.0000e-04 eta: 11:53:14 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 6.9419 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9337 loss: 0.9337 2022/08/03 17:10:20 - mmengine - INFO - Epoch(train) [177][140/1879] lr: 1.0000e-04 eta: 11:53:08 time: 0.2951 data_time: 0.0244 memory: 8198 grad_norm: 7.2325 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0994 loss: 1.0994 2022/08/03 17:10:26 - mmengine - INFO - Epoch(train) [177][160/1879] lr: 1.0000e-04 eta: 11:53:02 time: 0.3014 data_time: 0.0223 memory: 8198 grad_norm: 6.9675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9977 loss: 0.9977 2022/08/03 17:10:31 - mmengine - INFO - Epoch(train) [177][180/1879] lr: 1.0000e-04 eta: 11:52:57 time: 0.2850 data_time: 0.0184 memory: 8198 grad_norm: 6.9991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9245 loss: 0.9245 2022/08/03 17:10:37 - mmengine - INFO - Epoch(train) [177][200/1879] lr: 1.0000e-04 eta: 11:52:51 time: 0.2863 data_time: 0.0236 memory: 8198 grad_norm: 6.8457 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7996 loss: 0.7996 2022/08/03 17:10:43 - mmengine - INFO - Epoch(train) [177][220/1879] lr: 1.0000e-04 eta: 11:52:45 time: 0.2921 data_time: 0.0228 memory: 8198 grad_norm: 7.0810 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0105 loss: 1.0105 2022/08/03 17:10:49 - mmengine - INFO - Epoch(train) [177][240/1879] lr: 1.0000e-04 eta: 11:52:40 time: 0.2927 data_time: 0.0233 memory: 8198 grad_norm: 7.1946 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9916 loss: 0.9916 2022/08/03 17:10:55 - mmengine - INFO - Epoch(train) [177][260/1879] lr: 1.0000e-04 eta: 11:52:34 time: 0.3024 data_time: 0.0231 memory: 8198 grad_norm: 7.2997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/08/03 17:11:01 - mmengine - INFO - Epoch(train) [177][280/1879] lr: 1.0000e-04 eta: 11:52:29 time: 0.2839 data_time: 0.0221 memory: 8198 grad_norm: 6.7957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9212 loss: 0.9212 2022/08/03 17:11:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:11:07 - mmengine - INFO - Epoch(train) [177][300/1879] lr: 1.0000e-04 eta: 11:52:23 time: 0.2931 data_time: 0.0210 memory: 8198 grad_norm: 6.8145 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7820 loss: 0.7820 2022/08/03 17:11:12 - mmengine - INFO - Epoch(train) [177][320/1879] lr: 1.0000e-04 eta: 11:52:17 time: 0.2876 data_time: 0.0225 memory: 8198 grad_norm: 6.9386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8962 loss: 0.8962 2022/08/03 17:11:18 - mmengine - INFO - Epoch(train) [177][340/1879] lr: 1.0000e-04 eta: 11:52:12 time: 0.2857 data_time: 0.0247 memory: 8198 grad_norm: 7.1972 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9781 loss: 0.9781 2022/08/03 17:11:24 - mmengine - INFO - Epoch(train) [177][360/1879] lr: 1.0000e-04 eta: 11:52:06 time: 0.2851 data_time: 0.0211 memory: 8198 grad_norm: 6.9772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/08/03 17:11:30 - mmengine - INFO - Epoch(train) [177][380/1879] lr: 1.0000e-04 eta: 11:52:00 time: 0.3114 data_time: 0.0209 memory: 8198 grad_norm: 7.0836 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/08/03 17:11:36 - mmengine - INFO - Epoch(train) [177][400/1879] lr: 1.0000e-04 eta: 11:51:55 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 7.2392 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2362 loss: 1.2362 2022/08/03 17:11:42 - mmengine - INFO - Epoch(train) [177][420/1879] lr: 1.0000e-04 eta: 11:51:49 time: 0.2871 data_time: 0.0235 memory: 8198 grad_norm: 7.1386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9527 loss: 0.9527 2022/08/03 17:11:47 - mmengine - INFO - Epoch(train) [177][440/1879] lr: 1.0000e-04 eta: 11:51:43 time: 0.2900 data_time: 0.0304 memory: 8198 grad_norm: 7.0634 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/08/03 17:11:53 - mmengine - INFO - Epoch(train) [177][460/1879] lr: 1.0000e-04 eta: 11:51:38 time: 0.2904 data_time: 0.0278 memory: 8198 grad_norm: 7.1355 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9576 loss: 0.9576 2022/08/03 17:11:59 - mmengine - INFO - Epoch(train) [177][480/1879] lr: 1.0000e-04 eta: 11:51:32 time: 0.2875 data_time: 0.0193 memory: 8198 grad_norm: 6.9675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0555 loss: 1.0555 2022/08/03 17:12:05 - mmengine - INFO - Epoch(train) [177][500/1879] lr: 1.0000e-04 eta: 11:51:26 time: 0.2902 data_time: 0.0240 memory: 8198 grad_norm: 6.9111 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0620 loss: 1.0620 2022/08/03 17:12:11 - mmengine - INFO - Epoch(train) [177][520/1879] lr: 1.0000e-04 eta: 11:51:21 time: 0.2966 data_time: 0.0222 memory: 8198 grad_norm: 6.9719 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0844 loss: 1.0844 2022/08/03 17:12:17 - mmengine - INFO - Epoch(train) [177][540/1879] lr: 1.0000e-04 eta: 11:51:15 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 7.0536 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0032 loss: 1.0032 2022/08/03 17:12:22 - mmengine - INFO - Epoch(train) [177][560/1879] lr: 1.0000e-04 eta: 11:51:09 time: 0.2894 data_time: 0.0278 memory: 8198 grad_norm: 7.1283 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9213 loss: 0.9213 2022/08/03 17:12:29 - mmengine - INFO - Epoch(train) [177][580/1879] lr: 1.0000e-04 eta: 11:51:04 time: 0.3169 data_time: 0.0243 memory: 8198 grad_norm: 6.9456 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8409 loss: 0.8409 2022/08/03 17:12:34 - mmengine - INFO - Epoch(train) [177][600/1879] lr: 1.0000e-04 eta: 11:50:58 time: 0.2802 data_time: 0.0203 memory: 8198 grad_norm: 7.1832 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8658 loss: 0.8658 2022/08/03 17:12:40 - mmengine - INFO - Epoch(train) [177][620/1879] lr: 1.0000e-04 eta: 11:50:53 time: 0.2895 data_time: 0.0260 memory: 8198 grad_norm: 7.0898 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9758 loss: 0.9758 2022/08/03 17:12:46 - mmengine - INFO - Epoch(train) [177][640/1879] lr: 1.0000e-04 eta: 11:50:47 time: 0.2847 data_time: 0.0217 memory: 8198 grad_norm: 6.8621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/08/03 17:12:52 - mmengine - INFO - Epoch(train) [177][660/1879] lr: 1.0000e-04 eta: 11:50:41 time: 0.2939 data_time: 0.0245 memory: 8198 grad_norm: 7.2823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8842 loss: 0.8842 2022/08/03 17:12:58 - mmengine - INFO - Epoch(train) [177][680/1879] lr: 1.0000e-04 eta: 11:50:36 time: 0.2835 data_time: 0.0209 memory: 8198 grad_norm: 6.7112 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9096 loss: 0.9096 2022/08/03 17:13:03 - mmengine - INFO - Epoch(train) [177][700/1879] lr: 1.0000e-04 eta: 11:50:30 time: 0.2874 data_time: 0.0198 memory: 8198 grad_norm: 6.9924 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9944 loss: 0.9944 2022/08/03 17:13:09 - mmengine - INFO - Epoch(train) [177][720/1879] lr: 1.0000e-04 eta: 11:50:24 time: 0.2986 data_time: 0.0220 memory: 8198 grad_norm: 6.9101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8772 loss: 0.8772 2022/08/03 17:13:15 - mmengine - INFO - Epoch(train) [177][740/1879] lr: 1.0000e-04 eta: 11:50:19 time: 0.2859 data_time: 0.0217 memory: 8198 grad_norm: 7.0727 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9445 loss: 0.9445 2022/08/03 17:13:21 - mmengine - INFO - Epoch(train) [177][760/1879] lr: 1.0000e-04 eta: 11:50:13 time: 0.2868 data_time: 0.0229 memory: 8198 grad_norm: 7.0217 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8131 loss: 0.8131 2022/08/03 17:13:27 - mmengine - INFO - Epoch(train) [177][780/1879] lr: 1.0000e-04 eta: 11:50:07 time: 0.2854 data_time: 0.0229 memory: 8198 grad_norm: 6.8410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/08/03 17:13:32 - mmengine - INFO - Epoch(train) [177][800/1879] lr: 1.0000e-04 eta: 11:50:02 time: 0.2892 data_time: 0.0240 memory: 8198 grad_norm: 7.0524 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0587 loss: 1.0587 2022/08/03 17:13:38 - mmengine - INFO - Epoch(train) [177][820/1879] lr: 1.0000e-04 eta: 11:49:56 time: 0.2861 data_time: 0.0210 memory: 8198 grad_norm: 7.0057 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1080 loss: 1.1080 2022/08/03 17:13:44 - mmengine - INFO - Epoch(train) [177][840/1879] lr: 1.0000e-04 eta: 11:49:50 time: 0.2885 data_time: 0.0271 memory: 8198 grad_norm: 6.9318 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0871 loss: 1.0871 2022/08/03 17:13:50 - mmengine - INFO - Epoch(train) [177][860/1879] lr: 1.0000e-04 eta: 11:49:45 time: 0.2889 data_time: 0.0238 memory: 8198 grad_norm: 6.9233 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9268 loss: 0.9268 2022/08/03 17:13:55 - mmengine - INFO - Epoch(train) [177][880/1879] lr: 1.0000e-04 eta: 11:49:39 time: 0.2845 data_time: 0.0212 memory: 8198 grad_norm: 6.9537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9215 loss: 0.9215 2022/08/03 17:14:01 - mmengine - INFO - Epoch(train) [177][900/1879] lr: 1.0000e-04 eta: 11:49:33 time: 0.2871 data_time: 0.0227 memory: 8198 grad_norm: 6.9736 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0208 loss: 1.0208 2022/08/03 17:14:07 - mmengine - INFO - Epoch(train) [177][920/1879] lr: 1.0000e-04 eta: 11:49:27 time: 0.2819 data_time: 0.0229 memory: 8198 grad_norm: 7.2138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0198 loss: 1.0198 2022/08/03 17:14:13 - mmengine - INFO - Epoch(train) [177][940/1879] lr: 1.0000e-04 eta: 11:49:22 time: 0.2859 data_time: 0.0222 memory: 8198 grad_norm: 7.1233 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9839 loss: 0.9839 2022/08/03 17:14:18 - mmengine - INFO - Epoch(train) [177][960/1879] lr: 1.0000e-04 eta: 11:49:16 time: 0.2863 data_time: 0.0218 memory: 8198 grad_norm: 7.0153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/08/03 17:14:24 - mmengine - INFO - Epoch(train) [177][980/1879] lr: 1.0000e-04 eta: 11:49:10 time: 0.2884 data_time: 0.0291 memory: 8198 grad_norm: 7.2109 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/08/03 17:14:30 - mmengine - INFO - Epoch(train) [177][1000/1879] lr: 1.0000e-04 eta: 11:49:05 time: 0.2900 data_time: 0.0228 memory: 8198 grad_norm: 6.8409 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9991 loss: 0.9991 2022/08/03 17:14:36 - mmengine - INFO - Epoch(train) [177][1020/1879] lr: 1.0000e-04 eta: 11:48:59 time: 0.2834 data_time: 0.0197 memory: 8198 grad_norm: 6.9098 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9188 loss: 0.9188 2022/08/03 17:14:41 - mmengine - INFO - Epoch(train) [177][1040/1879] lr: 1.0000e-04 eta: 11:48:53 time: 0.2875 data_time: 0.0275 memory: 8198 grad_norm: 7.0384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9386 loss: 0.9386 2022/08/03 17:14:47 - mmengine - INFO - Epoch(train) [177][1060/1879] lr: 1.0000e-04 eta: 11:48:48 time: 0.2858 data_time: 0.0210 memory: 8198 grad_norm: 6.8742 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0733 loss: 1.0733 2022/08/03 17:14:53 - mmengine - INFO - Epoch(train) [177][1080/1879] lr: 1.0000e-04 eta: 11:48:42 time: 0.3134 data_time: 0.0196 memory: 8198 grad_norm: 7.1576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8897 loss: 0.8897 2022/08/03 17:14:59 - mmengine - INFO - Epoch(train) [177][1100/1879] lr: 1.0000e-04 eta: 11:48:37 time: 0.2922 data_time: 0.0243 memory: 8198 grad_norm: 7.2524 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1853 loss: 1.1853 2022/08/03 17:15:05 - mmengine - INFO - Epoch(train) [177][1120/1879] lr: 1.0000e-04 eta: 11:48:31 time: 0.2866 data_time: 0.0209 memory: 8198 grad_norm: 7.0678 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0479 loss: 1.0479 2022/08/03 17:15:11 - mmengine - INFO - Epoch(train) [177][1140/1879] lr: 1.0000e-04 eta: 11:48:25 time: 0.2983 data_time: 0.0244 memory: 8198 grad_norm: 7.1896 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0556 loss: 1.0556 2022/08/03 17:15:17 - mmengine - INFO - Epoch(train) [177][1160/1879] lr: 1.0000e-04 eta: 11:48:20 time: 0.2828 data_time: 0.0219 memory: 8198 grad_norm: 6.8034 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0167 loss: 1.0167 2022/08/03 17:15:22 - mmengine - INFO - Epoch(train) [177][1180/1879] lr: 1.0000e-04 eta: 11:48:14 time: 0.2863 data_time: 0.0245 memory: 8198 grad_norm: 7.0322 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/08/03 17:15:28 - mmengine - INFO - Epoch(train) [177][1200/1879] lr: 1.0000e-04 eta: 11:48:08 time: 0.2962 data_time: 0.0220 memory: 8198 grad_norm: 7.0839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9362 loss: 0.9362 2022/08/03 17:15:34 - mmengine - INFO - Epoch(train) [177][1220/1879] lr: 1.0000e-04 eta: 11:48:03 time: 0.2842 data_time: 0.0247 memory: 8198 grad_norm: 7.1192 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9231 loss: 0.9231 2022/08/03 17:15:40 - mmengine - INFO - Epoch(train) [177][1240/1879] lr: 1.0000e-04 eta: 11:47:57 time: 0.2814 data_time: 0.0208 memory: 8198 grad_norm: 6.9779 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0273 loss: 1.0273 2022/08/03 17:15:45 - mmengine - INFO - Epoch(train) [177][1260/1879] lr: 1.0000e-04 eta: 11:47:51 time: 0.2847 data_time: 0.0216 memory: 8198 grad_norm: 6.8610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9398 loss: 0.9398 2022/08/03 17:15:51 - mmengine - INFO - Epoch(train) [177][1280/1879] lr: 1.0000e-04 eta: 11:47:46 time: 0.2953 data_time: 0.0201 memory: 8198 grad_norm: 7.0342 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0108 loss: 1.0108 2022/08/03 17:15:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:15:57 - mmengine - INFO - Epoch(train) [177][1300/1879] lr: 1.0000e-04 eta: 11:47:40 time: 0.2874 data_time: 0.0262 memory: 8198 grad_norm: 6.8908 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0516 loss: 1.0516 2022/08/03 17:16:03 - mmengine - INFO - Epoch(train) [177][1320/1879] lr: 1.0000e-04 eta: 11:47:34 time: 0.2860 data_time: 0.0268 memory: 8198 grad_norm: 7.0066 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0491 loss: 1.0491 2022/08/03 17:16:09 - mmengine - INFO - Epoch(train) [177][1340/1879] lr: 1.0000e-04 eta: 11:47:29 time: 0.3015 data_time: 0.0208 memory: 8198 grad_norm: 7.0680 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9768 loss: 0.9768 2022/08/03 17:16:15 - mmengine - INFO - Epoch(train) [177][1360/1879] lr: 1.0000e-04 eta: 11:47:23 time: 0.2806 data_time: 0.0207 memory: 8198 grad_norm: 7.0730 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/08/03 17:16:20 - mmengine - INFO - Epoch(train) [177][1380/1879] lr: 1.0000e-04 eta: 11:47:17 time: 0.2884 data_time: 0.0216 memory: 8198 grad_norm: 6.9162 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/08/03 17:16:26 - mmengine - INFO - Epoch(train) [177][1400/1879] lr: 1.0000e-04 eta: 11:47:12 time: 0.2852 data_time: 0.0217 memory: 8198 grad_norm: 6.8978 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0384 loss: 1.0384 2022/08/03 17:16:32 - mmengine - INFO - Epoch(train) [177][1420/1879] lr: 1.0000e-04 eta: 11:47:06 time: 0.2874 data_time: 0.0246 memory: 8198 grad_norm: 6.9095 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9806 loss: 0.9806 2022/08/03 17:16:38 - mmengine - INFO - Epoch(train) [177][1440/1879] lr: 1.0000e-04 eta: 11:47:00 time: 0.2852 data_time: 0.0206 memory: 8198 grad_norm: 6.9341 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8029 loss: 0.8029 2022/08/03 17:16:43 - mmengine - INFO - Epoch(train) [177][1460/1879] lr: 1.0000e-04 eta: 11:46:55 time: 0.2867 data_time: 0.0249 memory: 8198 grad_norm: 6.9673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0384 loss: 1.0384 2022/08/03 17:16:50 - mmengine - INFO - Epoch(train) [177][1480/1879] lr: 1.0000e-04 eta: 11:46:49 time: 0.3074 data_time: 0.0214 memory: 8198 grad_norm: 7.1564 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/08/03 17:16:55 - mmengine - INFO - Epoch(train) [177][1500/1879] lr: 1.0000e-04 eta: 11:46:43 time: 0.2831 data_time: 0.0218 memory: 8198 grad_norm: 6.9176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0697 loss: 1.0697 2022/08/03 17:17:01 - mmengine - INFO - Epoch(train) [177][1520/1879] lr: 1.0000e-04 eta: 11:46:38 time: 0.2839 data_time: 0.0217 memory: 8198 grad_norm: 6.9705 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0950 loss: 1.0950 2022/08/03 17:17:07 - mmengine - INFO - Epoch(train) [177][1540/1879] lr: 1.0000e-04 eta: 11:46:32 time: 0.2874 data_time: 0.0267 memory: 8198 grad_norm: 7.0697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9922 loss: 0.9922 2022/08/03 17:17:13 - mmengine - INFO - Epoch(train) [177][1560/1879] lr: 1.0000e-04 eta: 11:46:26 time: 0.2879 data_time: 0.0214 memory: 8198 grad_norm: 7.0503 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9420 loss: 0.9420 2022/08/03 17:17:18 - mmengine - INFO - Epoch(train) [177][1580/1879] lr: 1.0000e-04 eta: 11:46:21 time: 0.2859 data_time: 0.0230 memory: 8198 grad_norm: 7.0283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9764 loss: 0.9764 2022/08/03 17:17:24 - mmengine - INFO - Epoch(train) [177][1600/1879] lr: 1.0000e-04 eta: 11:46:15 time: 0.2842 data_time: 0.0222 memory: 8198 grad_norm: 6.8400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8449 loss: 0.8449 2022/08/03 17:17:30 - mmengine - INFO - Epoch(train) [177][1620/1879] lr: 1.0000e-04 eta: 11:46:09 time: 0.3083 data_time: 0.0224 memory: 8198 grad_norm: 6.9759 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9108 loss: 0.9108 2022/08/03 17:17:36 - mmengine - INFO - Epoch(train) [177][1640/1879] lr: 1.0000e-04 eta: 11:46:04 time: 0.2807 data_time: 0.0222 memory: 8198 grad_norm: 7.0001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9995 loss: 0.9995 2022/08/03 17:17:42 - mmengine - INFO - Epoch(train) [177][1660/1879] lr: 1.0000e-04 eta: 11:45:58 time: 0.2875 data_time: 0.0212 memory: 8198 grad_norm: 7.0532 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7890 loss: 0.7890 2022/08/03 17:17:47 - mmengine - INFO - Epoch(train) [177][1680/1879] lr: 1.0000e-04 eta: 11:45:52 time: 0.2867 data_time: 0.0211 memory: 8198 grad_norm: 7.1231 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0271 loss: 1.0271 2022/08/03 17:17:53 - mmengine - INFO - Epoch(train) [177][1700/1879] lr: 1.0000e-04 eta: 11:45:47 time: 0.2962 data_time: 0.0208 memory: 8198 grad_norm: 7.2052 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8683 loss: 0.8683 2022/08/03 17:17:59 - mmengine - INFO - Epoch(train) [177][1720/1879] lr: 1.0000e-04 eta: 11:45:41 time: 0.2998 data_time: 0.0214 memory: 8198 grad_norm: 7.2915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8640 loss: 0.8640 2022/08/03 17:18:05 - mmengine - INFO - Epoch(train) [177][1740/1879] lr: 1.0000e-04 eta: 11:45:35 time: 0.2813 data_time: 0.0215 memory: 8198 grad_norm: 7.1305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0197 loss: 1.0197 2022/08/03 17:18:11 - mmengine - INFO - Epoch(train) [177][1760/1879] lr: 1.0000e-04 eta: 11:45:30 time: 0.3045 data_time: 0.0219 memory: 8198 grad_norm: 7.1421 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8857 loss: 0.8857 2022/08/03 17:18:17 - mmengine - INFO - Epoch(train) [177][1780/1879] lr: 1.0000e-04 eta: 11:45:24 time: 0.2871 data_time: 0.0251 memory: 8198 grad_norm: 7.1458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0147 loss: 1.0147 2022/08/03 17:18:23 - mmengine - INFO - Epoch(train) [177][1800/1879] lr: 1.0000e-04 eta: 11:45:19 time: 0.2844 data_time: 0.0188 memory: 8198 grad_norm: 6.9825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9156 loss: 0.9156 2022/08/03 17:18:28 - mmengine - INFO - Epoch(train) [177][1820/1879] lr: 1.0000e-04 eta: 11:45:13 time: 0.2925 data_time: 0.0237 memory: 8198 grad_norm: 6.9288 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9292 loss: 0.9292 2022/08/03 17:18:34 - mmengine - INFO - Epoch(train) [177][1840/1879] lr: 1.0000e-04 eta: 11:45:07 time: 0.2876 data_time: 0.0257 memory: 8198 grad_norm: 7.2076 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/08/03 17:18:40 - mmengine - INFO - Epoch(train) [177][1860/1879] lr: 1.0000e-04 eta: 11:45:02 time: 0.2870 data_time: 0.0217 memory: 8198 grad_norm: 6.8574 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8693 loss: 0.8693 2022/08/03 17:18:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:18:45 - mmengine - INFO - Epoch(train) [177][1879/1879] lr: 1.0000e-04 eta: 11:45:02 time: 0.2568 data_time: 0.0134 memory: 8198 grad_norm: 7.3540 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9341 loss: 0.9341 2022/08/03 17:18:53 - mmengine - INFO - Epoch(train) [178][20/1879] lr: 1.0000e-04 eta: 11:44:49 time: 0.4019 data_time: 0.1136 memory: 8198 grad_norm: 6.8476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9595 loss: 0.9595 2022/08/03 17:19:00 - mmengine - INFO - Epoch(train) [178][40/1879] lr: 1.0000e-04 eta: 11:44:44 time: 0.3438 data_time: 0.0154 memory: 8198 grad_norm: 7.0706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9202 loss: 0.9202 2022/08/03 17:19:06 - mmengine - INFO - Epoch(train) [178][60/1879] lr: 1.0000e-04 eta: 11:44:38 time: 0.2839 data_time: 0.0263 memory: 8198 grad_norm: 7.0147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0170 loss: 1.0170 2022/08/03 17:19:11 - mmengine - INFO - Epoch(train) [178][80/1879] lr: 1.0000e-04 eta: 11:44:33 time: 0.2909 data_time: 0.0223 memory: 8198 grad_norm: 6.8583 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9080 loss: 0.9080 2022/08/03 17:19:17 - mmengine - INFO - Epoch(train) [178][100/1879] lr: 1.0000e-04 eta: 11:44:27 time: 0.2828 data_time: 0.0223 memory: 8198 grad_norm: 6.8706 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/03 17:19:23 - mmengine - INFO - Epoch(train) [178][120/1879] lr: 1.0000e-04 eta: 11:44:21 time: 0.2864 data_time: 0.0194 memory: 8198 grad_norm: 6.9391 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8331 loss: 0.8331 2022/08/03 17:19:29 - mmengine - INFO - Epoch(train) [178][140/1879] lr: 1.0000e-04 eta: 11:44:16 time: 0.2962 data_time: 0.0249 memory: 8198 grad_norm: 6.9015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9343 loss: 0.9343 2022/08/03 17:19:34 - mmengine - INFO - Epoch(train) [178][160/1879] lr: 1.0000e-04 eta: 11:44:10 time: 0.2837 data_time: 0.0180 memory: 8198 grad_norm: 7.1745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/08/03 17:19:40 - mmengine - INFO - Epoch(train) [178][180/1879] lr: 1.0000e-04 eta: 11:44:04 time: 0.2878 data_time: 0.0268 memory: 8198 grad_norm: 6.9912 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2204 loss: 1.2204 2022/08/03 17:19:46 - mmengine - INFO - Epoch(train) [178][200/1879] lr: 1.0000e-04 eta: 11:43:58 time: 0.2849 data_time: 0.0243 memory: 8198 grad_norm: 6.9369 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2648 loss: 1.2648 2022/08/03 17:19:52 - mmengine - INFO - Epoch(train) [178][220/1879] lr: 1.0000e-04 eta: 11:43:53 time: 0.2901 data_time: 0.0221 memory: 8198 grad_norm: 7.3342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/08/03 17:19:58 - mmengine - INFO - Epoch(train) [178][240/1879] lr: 1.0000e-04 eta: 11:43:47 time: 0.2839 data_time: 0.0213 memory: 8198 grad_norm: 6.8602 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9936 loss: 0.9936 2022/08/03 17:20:03 - mmengine - INFO - Epoch(train) [178][260/1879] lr: 1.0000e-04 eta: 11:43:41 time: 0.2909 data_time: 0.0275 memory: 8198 grad_norm: 7.2832 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0159 loss: 1.0159 2022/08/03 17:20:09 - mmengine - INFO - Epoch(train) [178][280/1879] lr: 1.0000e-04 eta: 11:43:36 time: 0.3051 data_time: 0.0177 memory: 8198 grad_norm: 7.1306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1714 loss: 1.1714 2022/08/03 17:20:15 - mmengine - INFO - Epoch(train) [178][300/1879] lr: 1.0000e-04 eta: 11:43:30 time: 0.2814 data_time: 0.0212 memory: 8198 grad_norm: 7.0467 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8768 loss: 0.8768 2022/08/03 17:20:21 - mmengine - INFO - Epoch(train) [178][320/1879] lr: 1.0000e-04 eta: 11:43:25 time: 0.2911 data_time: 0.0182 memory: 8198 grad_norm: 7.0909 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9305 loss: 0.9305 2022/08/03 17:20:27 - mmengine - INFO - Epoch(train) [178][340/1879] lr: 1.0000e-04 eta: 11:43:19 time: 0.2846 data_time: 0.0264 memory: 8198 grad_norm: 6.6833 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/03 17:20:33 - mmengine - INFO - Epoch(train) [178][360/1879] lr: 1.0000e-04 eta: 11:43:13 time: 0.2894 data_time: 0.0267 memory: 8198 grad_norm: 7.0287 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1228 loss: 1.1228 2022/08/03 17:20:38 - mmengine - INFO - Epoch(train) [178][380/1879] lr: 1.0000e-04 eta: 11:43:07 time: 0.2860 data_time: 0.0267 memory: 8198 grad_norm: 6.9830 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0115 loss: 1.0115 2022/08/03 17:20:44 - mmengine - INFO - Epoch(train) [178][400/1879] lr: 1.0000e-04 eta: 11:43:02 time: 0.3014 data_time: 0.0158 memory: 8198 grad_norm: 6.9143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9652 loss: 0.9652 2022/08/03 17:20:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:20:51 - mmengine - INFO - Epoch(train) [178][420/1879] lr: 1.0000e-04 eta: 11:42:56 time: 0.3128 data_time: 0.0494 memory: 8198 grad_norm: 7.0678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9836 loss: 0.9836 2022/08/03 17:20:56 - mmengine - INFO - Epoch(train) [178][440/1879] lr: 1.0000e-04 eta: 11:42:51 time: 0.2827 data_time: 0.0181 memory: 8198 grad_norm: 6.9513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0376 loss: 1.0376 2022/08/03 17:21:02 - mmengine - INFO - Epoch(train) [178][460/1879] lr: 1.0000e-04 eta: 11:42:45 time: 0.2813 data_time: 0.0197 memory: 8198 grad_norm: 7.2252 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0882 loss: 1.0882 2022/08/03 17:21:08 - mmengine - INFO - Epoch(train) [178][480/1879] lr: 1.0000e-04 eta: 11:42:39 time: 0.2861 data_time: 0.0241 memory: 8198 grad_norm: 7.0115 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9927 loss: 0.9927 2022/08/03 17:21:14 - mmengine - INFO - Epoch(train) [178][500/1879] lr: 1.0000e-04 eta: 11:42:34 time: 0.3001 data_time: 0.0252 memory: 8198 grad_norm: 7.0614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0727 loss: 1.0727 2022/08/03 17:21:20 - mmengine - INFO - Epoch(train) [178][520/1879] lr: 1.0000e-04 eta: 11:42:28 time: 0.2953 data_time: 0.0255 memory: 8198 grad_norm: 6.7791 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0618 loss: 1.0618 2022/08/03 17:21:25 - mmengine - INFO - Epoch(train) [178][540/1879] lr: 1.0000e-04 eta: 11:42:22 time: 0.2846 data_time: 0.0223 memory: 8198 grad_norm: 6.9266 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/08/03 17:21:31 - mmengine - INFO - Epoch(train) [178][560/1879] lr: 1.0000e-04 eta: 11:42:17 time: 0.2903 data_time: 0.0177 memory: 8198 grad_norm: 6.7281 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9110 loss: 0.9110 2022/08/03 17:21:37 - mmengine - INFO - Epoch(train) [178][580/1879] lr: 1.0000e-04 eta: 11:42:11 time: 0.2848 data_time: 0.0200 memory: 8198 grad_norm: 7.1763 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/08/03 17:21:43 - mmengine - INFO - Epoch(train) [178][600/1879] lr: 1.0000e-04 eta: 11:42:05 time: 0.2847 data_time: 0.0254 memory: 8198 grad_norm: 7.0511 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0225 loss: 1.0225 2022/08/03 17:21:48 - mmengine - INFO - Epoch(train) [178][620/1879] lr: 1.0000e-04 eta: 11:42:00 time: 0.2846 data_time: 0.0239 memory: 8198 grad_norm: 6.8177 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8023 loss: 0.8023 2022/08/03 17:21:55 - mmengine - INFO - Epoch(train) [178][640/1879] lr: 1.0000e-04 eta: 11:41:54 time: 0.3085 data_time: 0.0194 memory: 8198 grad_norm: 7.2608 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/08/03 17:22:00 - mmengine - INFO - Epoch(train) [178][660/1879] lr: 1.0000e-04 eta: 11:41:49 time: 0.2835 data_time: 0.0251 memory: 8198 grad_norm: 6.8275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/08/03 17:22:06 - mmengine - INFO - Epoch(train) [178][680/1879] lr: 1.0000e-04 eta: 11:41:43 time: 0.2821 data_time: 0.0226 memory: 8198 grad_norm: 6.8900 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0431 loss: 1.0431 2022/08/03 17:22:12 - mmengine - INFO - Epoch(train) [178][700/1879] lr: 1.0000e-04 eta: 11:41:37 time: 0.2967 data_time: 0.0211 memory: 8198 grad_norm: 7.1589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9324 loss: 0.9324 2022/08/03 17:22:18 - mmengine - INFO - Epoch(train) [178][720/1879] lr: 1.0000e-04 eta: 11:41:32 time: 0.2860 data_time: 0.0197 memory: 8198 grad_norm: 6.9029 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9295 loss: 0.9295 2022/08/03 17:22:23 - mmengine - INFO - Epoch(train) [178][740/1879] lr: 1.0000e-04 eta: 11:41:26 time: 0.2824 data_time: 0.0211 memory: 8198 grad_norm: 6.9135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8191 loss: 0.8191 2022/08/03 17:22:29 - mmengine - INFO - Epoch(train) [178][760/1879] lr: 1.0000e-04 eta: 11:41:20 time: 0.3035 data_time: 0.0228 memory: 8198 grad_norm: 7.0274 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0457 loss: 1.0457 2022/08/03 17:22:35 - mmengine - INFO - Epoch(train) [178][780/1879] lr: 1.0000e-04 eta: 11:41:15 time: 0.2857 data_time: 0.0248 memory: 8198 grad_norm: 7.4040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0813 loss: 1.0813 2022/08/03 17:22:41 - mmengine - INFO - Epoch(train) [178][800/1879] lr: 1.0000e-04 eta: 11:41:09 time: 0.2849 data_time: 0.0224 memory: 8198 grad_norm: 7.0890 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8681 loss: 0.8681 2022/08/03 17:22:47 - mmengine - INFO - Epoch(train) [178][820/1879] lr: 1.0000e-04 eta: 11:41:03 time: 0.2917 data_time: 0.0248 memory: 8198 grad_norm: 7.0231 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9585 loss: 0.9585 2022/08/03 17:22:53 - mmengine - INFO - Epoch(train) [178][840/1879] lr: 1.0000e-04 eta: 11:40:58 time: 0.2916 data_time: 0.0235 memory: 8198 grad_norm: 6.8493 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9299 loss: 0.9299 2022/08/03 17:22:58 - mmengine - INFO - Epoch(train) [178][860/1879] lr: 1.0000e-04 eta: 11:40:52 time: 0.2859 data_time: 0.0248 memory: 8198 grad_norm: 7.1289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0258 loss: 1.0258 2022/08/03 17:23:04 - mmengine - INFO - Epoch(train) [178][880/1879] lr: 1.0000e-04 eta: 11:40:46 time: 0.2839 data_time: 0.0254 memory: 8198 grad_norm: 7.2547 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/08/03 17:23:10 - mmengine - INFO - Epoch(train) [178][900/1879] lr: 1.0000e-04 eta: 11:40:41 time: 0.3159 data_time: 0.0239 memory: 8198 grad_norm: 6.7843 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9604 loss: 0.9604 2022/08/03 17:23:16 - mmengine - INFO - Epoch(train) [178][920/1879] lr: 1.0000e-04 eta: 11:40:35 time: 0.2819 data_time: 0.0217 memory: 8198 grad_norm: 7.1995 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0883 loss: 1.0883 2022/08/03 17:23:22 - mmengine - INFO - Epoch(train) [178][940/1879] lr: 1.0000e-04 eta: 11:40:29 time: 0.2835 data_time: 0.0220 memory: 8198 grad_norm: 7.1279 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8330 loss: 0.8330 2022/08/03 17:23:27 - mmengine - INFO - Epoch(train) [178][960/1879] lr: 1.0000e-04 eta: 11:40:24 time: 0.2875 data_time: 0.0229 memory: 8198 grad_norm: 7.2474 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9731 loss: 0.9731 2022/08/03 17:23:33 - mmengine - INFO - Epoch(train) [178][980/1879] lr: 1.0000e-04 eta: 11:40:18 time: 0.2907 data_time: 0.0235 memory: 8198 grad_norm: 6.9617 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1188 loss: 1.1188 2022/08/03 17:23:39 - mmengine - INFO - Epoch(train) [178][1000/1879] lr: 1.0000e-04 eta: 11:40:12 time: 0.2855 data_time: 0.0255 memory: 8198 grad_norm: 7.0943 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0537 loss: 1.0537 2022/08/03 17:23:45 - mmengine - INFO - Epoch(train) [178][1020/1879] lr: 1.0000e-04 eta: 11:40:07 time: 0.2891 data_time: 0.0204 memory: 8198 grad_norm: 7.0068 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1687 loss: 1.1687 2022/08/03 17:23:51 - mmengine - INFO - Epoch(train) [178][1040/1879] lr: 1.0000e-04 eta: 11:40:01 time: 0.3002 data_time: 0.0298 memory: 8198 grad_norm: 7.0605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0527 loss: 1.0527 2022/08/03 17:23:57 - mmengine - INFO - Epoch(train) [178][1060/1879] lr: 1.0000e-04 eta: 11:39:55 time: 0.2825 data_time: 0.0221 memory: 8198 grad_norm: 7.1993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/08/03 17:24:02 - mmengine - INFO - Epoch(train) [178][1080/1879] lr: 1.0000e-04 eta: 11:39:50 time: 0.2946 data_time: 0.0239 memory: 8198 grad_norm: 6.9769 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8411 loss: 0.8411 2022/08/03 17:24:08 - mmengine - INFO - Epoch(train) [178][1100/1879] lr: 1.0000e-04 eta: 11:39:44 time: 0.2840 data_time: 0.0234 memory: 8198 grad_norm: 7.2185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/03 17:24:14 - mmengine - INFO - Epoch(train) [178][1120/1879] lr: 1.0000e-04 eta: 11:39:38 time: 0.2901 data_time: 0.0218 memory: 8198 grad_norm: 6.9522 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9844 loss: 0.9844 2022/08/03 17:24:20 - mmengine - INFO - Epoch(train) [178][1140/1879] lr: 1.0000e-04 eta: 11:39:33 time: 0.2865 data_time: 0.0191 memory: 8198 grad_norm: 6.9485 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/03 17:24:25 - mmengine - INFO - Epoch(train) [178][1160/1879] lr: 1.0000e-04 eta: 11:39:27 time: 0.2845 data_time: 0.0221 memory: 8198 grad_norm: 7.0321 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9900 loss: 0.9900 2022/08/03 17:24:31 - mmengine - INFO - Epoch(train) [178][1180/1879] lr: 1.0000e-04 eta: 11:39:21 time: 0.2863 data_time: 0.0181 memory: 8198 grad_norm: 6.7741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0159 loss: 1.0159 2022/08/03 17:24:37 - mmengine - INFO - Epoch(train) [178][1200/1879] lr: 1.0000e-04 eta: 11:39:16 time: 0.2827 data_time: 0.0198 memory: 8198 grad_norm: 7.0088 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8824 loss: 0.8824 2022/08/03 17:24:43 - mmengine - INFO - Epoch(train) [178][1220/1879] lr: 1.0000e-04 eta: 11:39:10 time: 0.3048 data_time: 0.0292 memory: 8198 grad_norm: 6.8927 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/03 17:24:49 - mmengine - INFO - Epoch(train) [178][1240/1879] lr: 1.0000e-04 eta: 11:39:04 time: 0.2817 data_time: 0.0170 memory: 8198 grad_norm: 6.9577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/08/03 17:24:54 - mmengine - INFO - Epoch(train) [178][1260/1879] lr: 1.0000e-04 eta: 11:38:59 time: 0.2867 data_time: 0.0239 memory: 8198 grad_norm: 7.0287 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8592 loss: 0.8592 2022/08/03 17:25:00 - mmengine - INFO - Epoch(train) [178][1280/1879] lr: 1.0000e-04 eta: 11:38:53 time: 0.3021 data_time: 0.0184 memory: 8198 grad_norm: 6.9334 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9283 loss: 0.9283 2022/08/03 17:25:06 - mmengine - INFO - Epoch(train) [178][1300/1879] lr: 1.0000e-04 eta: 11:38:47 time: 0.2819 data_time: 0.0219 memory: 8198 grad_norm: 6.9162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9866 loss: 0.9866 2022/08/03 17:25:12 - mmengine - INFO - Epoch(train) [178][1320/1879] lr: 1.0000e-04 eta: 11:38:42 time: 0.2835 data_time: 0.0179 memory: 8198 grad_norm: 6.8743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9332 loss: 0.9332 2022/08/03 17:25:18 - mmengine - INFO - Epoch(train) [178][1340/1879] lr: 1.0000e-04 eta: 11:38:36 time: 0.2864 data_time: 0.0235 memory: 8198 grad_norm: 7.0073 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8814 loss: 0.8814 2022/08/03 17:25:24 - mmengine - INFO - Epoch(train) [178][1360/1879] lr: 1.0000e-04 eta: 11:38:31 time: 0.3111 data_time: 0.0194 memory: 8198 grad_norm: 7.0350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9196 loss: 0.9196 2022/08/03 17:25:30 - mmengine - INFO - Epoch(train) [178][1380/1879] lr: 1.0000e-04 eta: 11:38:25 time: 0.2857 data_time: 0.0195 memory: 8198 grad_norm: 7.1761 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9517 loss: 0.9517 2022/08/03 17:25:35 - mmengine - INFO - Epoch(train) [178][1400/1879] lr: 1.0000e-04 eta: 11:38:19 time: 0.2866 data_time: 0.0193 memory: 8198 grad_norm: 7.0162 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/08/03 17:25:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:25:41 - mmengine - INFO - Epoch(train) [178][1420/1879] lr: 1.0000e-04 eta: 11:38:14 time: 0.2947 data_time: 0.0234 memory: 8198 grad_norm: 6.7688 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9272 loss: 0.9272 2022/08/03 17:25:47 - mmengine - INFO - Epoch(train) [178][1440/1879] lr: 1.0000e-04 eta: 11:38:08 time: 0.2861 data_time: 0.0239 memory: 8198 grad_norm: 7.0755 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0483 loss: 1.0483 2022/08/03 17:25:53 - mmengine - INFO - Epoch(train) [178][1460/1879] lr: 1.0000e-04 eta: 11:38:02 time: 0.2894 data_time: 0.0241 memory: 8198 grad_norm: 7.1038 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9203 loss: 0.9203 2022/08/03 17:25:59 - mmengine - INFO - Epoch(train) [178][1480/1879] lr: 1.0000e-04 eta: 11:37:56 time: 0.2846 data_time: 0.0227 memory: 8198 grad_norm: 7.1591 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9327 loss: 0.9327 2022/08/03 17:26:05 - mmengine - INFO - Epoch(train) [178][1500/1879] lr: 1.0000e-04 eta: 11:37:51 time: 0.2969 data_time: 0.0248 memory: 8198 grad_norm: 7.0136 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9566 loss: 0.9566 2022/08/03 17:26:10 - mmengine - INFO - Epoch(train) [178][1520/1879] lr: 1.0000e-04 eta: 11:37:45 time: 0.2815 data_time: 0.0204 memory: 8198 grad_norm: 7.3727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9652 loss: 0.9652 2022/08/03 17:26:16 - mmengine - INFO - Epoch(train) [178][1540/1879] lr: 1.0000e-04 eta: 11:37:39 time: 0.2875 data_time: 0.0234 memory: 8198 grad_norm: 7.1556 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0503 loss: 1.0503 2022/08/03 17:26:22 - mmengine - INFO - Epoch(train) [178][1560/1879] lr: 1.0000e-04 eta: 11:37:34 time: 0.2992 data_time: 0.0216 memory: 8198 grad_norm: 7.0006 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9487 loss: 0.9487 2022/08/03 17:26:28 - mmengine - INFO - Epoch(train) [178][1580/1879] lr: 1.0000e-04 eta: 11:37:28 time: 0.2820 data_time: 0.0195 memory: 8198 grad_norm: 7.0339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/08/03 17:26:33 - mmengine - INFO - Epoch(train) [178][1600/1879] lr: 1.0000e-04 eta: 11:37:23 time: 0.2912 data_time: 0.0209 memory: 8198 grad_norm: 7.1219 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9265 loss: 0.9265 2022/08/03 17:26:39 - mmengine - INFO - Epoch(train) [178][1620/1879] lr: 1.0000e-04 eta: 11:37:17 time: 0.2903 data_time: 0.0228 memory: 8198 grad_norm: 6.9651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9089 loss: 0.9089 2022/08/03 17:26:45 - mmengine - INFO - Epoch(train) [178][1640/1879] lr: 1.0000e-04 eta: 11:37:11 time: 0.3006 data_time: 0.0183 memory: 8198 grad_norm: 7.2390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0306 loss: 1.0306 2022/08/03 17:26:51 - mmengine - INFO - Epoch(train) [178][1660/1879] lr: 1.0000e-04 eta: 11:37:06 time: 0.2883 data_time: 0.0233 memory: 8198 grad_norm: 6.8633 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0852 loss: 1.0852 2022/08/03 17:26:57 - mmengine - INFO - Epoch(train) [178][1680/1879] lr: 1.0000e-04 eta: 11:37:00 time: 0.2865 data_time: 0.0259 memory: 8198 grad_norm: 6.9009 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9489 loss: 0.9489 2022/08/03 17:27:03 - mmengine - INFO - Epoch(train) [178][1700/1879] lr: 1.0000e-04 eta: 11:36:54 time: 0.3071 data_time: 0.0234 memory: 8198 grad_norm: 6.9368 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9598 loss: 0.9598 2022/08/03 17:27:09 - mmengine - INFO - Epoch(train) [178][1720/1879] lr: 1.0000e-04 eta: 11:36:49 time: 0.2845 data_time: 0.0221 memory: 8198 grad_norm: 7.0372 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9810 loss: 0.9810 2022/08/03 17:27:15 - mmengine - INFO - Epoch(train) [178][1740/1879] lr: 1.0000e-04 eta: 11:36:43 time: 0.2945 data_time: 0.0246 memory: 8198 grad_norm: 7.0179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9986 loss: 0.9986 2022/08/03 17:27:21 - mmengine - INFO - Epoch(train) [178][1760/1879] lr: 1.0000e-04 eta: 11:36:38 time: 0.3084 data_time: 0.0221 memory: 8198 grad_norm: 7.0945 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/03 17:27:27 - mmengine - INFO - Epoch(train) [178][1780/1879] lr: 1.0000e-04 eta: 11:36:32 time: 0.2809 data_time: 0.0225 memory: 8198 grad_norm: 7.2832 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/03 17:27:32 - mmengine - INFO - Epoch(train) [178][1800/1879] lr: 1.0000e-04 eta: 11:36:26 time: 0.2936 data_time: 0.0296 memory: 8198 grad_norm: 7.0972 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0564 loss: 1.0564 2022/08/03 17:27:38 - mmengine - INFO - Epoch(train) [178][1820/1879] lr: 1.0000e-04 eta: 11:36:21 time: 0.2856 data_time: 0.0227 memory: 8198 grad_norm: 6.9670 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0140 loss: 1.0140 2022/08/03 17:27:44 - mmengine - INFO - Epoch(train) [178][1840/1879] lr: 1.0000e-04 eta: 11:36:15 time: 0.2859 data_time: 0.0214 memory: 8198 grad_norm: 6.8541 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0298 loss: 1.0298 2022/08/03 17:27:50 - mmengine - INFO - Epoch(train) [178][1860/1879] lr: 1.0000e-04 eta: 11:36:09 time: 0.2954 data_time: 0.0219 memory: 8198 grad_norm: 6.8914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0935 loss: 1.0935 2022/08/03 17:27:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:27:55 - mmengine - INFO - Epoch(train) [178][1879/1879] lr: 1.0000e-04 eta: 11:36:09 time: 0.2603 data_time: 0.0168 memory: 8198 grad_norm: 7.3581 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9456 loss: 0.9456 2022/08/03 17:28:03 - mmengine - INFO - Epoch(train) [179][20/1879] lr: 1.0000e-04 eta: 11:35:57 time: 0.4079 data_time: 0.0883 memory: 8198 grad_norm: 7.2971 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0011 loss: 1.0011 2022/08/03 17:28:09 - mmengine - INFO - Epoch(train) [179][40/1879] lr: 1.0000e-04 eta: 11:35:51 time: 0.2868 data_time: 0.0225 memory: 8198 grad_norm: 6.8629 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/03 17:28:15 - mmengine - INFO - Epoch(train) [179][60/1879] lr: 1.0000e-04 eta: 11:35:46 time: 0.2949 data_time: 0.0259 memory: 8198 grad_norm: 6.7966 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0159 loss: 1.0159 2022/08/03 17:28:21 - mmengine - INFO - Epoch(train) [179][80/1879] lr: 1.0000e-04 eta: 11:35:40 time: 0.2916 data_time: 0.0216 memory: 8198 grad_norm: 6.9726 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/08/03 17:28:26 - mmengine - INFO - Epoch(train) [179][100/1879] lr: 1.0000e-04 eta: 11:35:34 time: 0.2839 data_time: 0.0225 memory: 8198 grad_norm: 6.9118 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7812 loss: 0.7812 2022/08/03 17:28:32 - mmengine - INFO - Epoch(train) [179][120/1879] lr: 1.0000e-04 eta: 11:35:29 time: 0.3103 data_time: 0.0184 memory: 8198 grad_norm: 7.1524 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/03 17:28:38 - mmengine - INFO - Epoch(train) [179][140/1879] lr: 1.0000e-04 eta: 11:35:23 time: 0.2868 data_time: 0.0229 memory: 8198 grad_norm: 7.0899 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9569 loss: 0.9569 2022/08/03 17:28:44 - mmengine - INFO - Epoch(train) [179][160/1879] lr: 1.0000e-04 eta: 11:35:17 time: 0.2931 data_time: 0.0197 memory: 8198 grad_norm: 6.9060 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9572 loss: 0.9572 2022/08/03 17:28:50 - mmengine - INFO - Epoch(train) [179][180/1879] lr: 1.0000e-04 eta: 11:35:12 time: 0.2901 data_time: 0.0221 memory: 8198 grad_norm: 6.9927 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0262 loss: 1.0262 2022/08/03 17:28:56 - mmengine - INFO - Epoch(train) [179][200/1879] lr: 1.0000e-04 eta: 11:35:06 time: 0.2837 data_time: 0.0250 memory: 8198 grad_norm: 7.0417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8994 loss: 0.8994 2022/08/03 17:29:01 - mmengine - INFO - Epoch(train) [179][220/1879] lr: 1.0000e-04 eta: 11:35:00 time: 0.2886 data_time: 0.0232 memory: 8198 grad_norm: 6.9610 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0248 loss: 1.0248 2022/08/03 17:29:07 - mmengine - INFO - Epoch(train) [179][240/1879] lr: 1.0000e-04 eta: 11:34:55 time: 0.2827 data_time: 0.0231 memory: 8198 grad_norm: 6.6224 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8932 loss: 0.8932 2022/08/03 17:29:13 - mmengine - INFO - Epoch(train) [179][260/1879] lr: 1.0000e-04 eta: 11:34:49 time: 0.2893 data_time: 0.0273 memory: 8198 grad_norm: 7.0870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0921 loss: 1.0921 2022/08/03 17:29:19 - mmengine - INFO - Epoch(train) [179][280/1879] lr: 1.0000e-04 eta: 11:34:43 time: 0.2838 data_time: 0.0238 memory: 8198 grad_norm: 7.2180 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8026 loss: 0.8026 2022/08/03 17:29:24 - mmengine - INFO - Epoch(train) [179][300/1879] lr: 1.0000e-04 eta: 11:34:38 time: 0.2923 data_time: 0.0274 memory: 8198 grad_norm: 7.0799 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9455 loss: 0.9455 2022/08/03 17:29:30 - mmengine - INFO - Epoch(train) [179][320/1879] lr: 1.0000e-04 eta: 11:34:32 time: 0.2941 data_time: 0.0215 memory: 8198 grad_norm: 7.1332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/08/03 17:29:36 - mmengine - INFO - Epoch(train) [179][340/1879] lr: 1.0000e-04 eta: 11:34:26 time: 0.2840 data_time: 0.0196 memory: 8198 grad_norm: 7.1909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9060 loss: 0.9060 2022/08/03 17:29:42 - mmengine - INFO - Epoch(train) [179][360/1879] lr: 1.0000e-04 eta: 11:34:21 time: 0.2859 data_time: 0.0201 memory: 8198 grad_norm: 6.7849 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0214 loss: 1.0214 2022/08/03 17:29:48 - mmengine - INFO - Epoch(train) [179][380/1879] lr: 1.0000e-04 eta: 11:34:15 time: 0.2865 data_time: 0.0237 memory: 8198 grad_norm: 7.2031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/08/03 17:29:54 - mmengine - INFO - Epoch(train) [179][400/1879] lr: 1.0000e-04 eta: 11:34:09 time: 0.2986 data_time: 0.0228 memory: 8198 grad_norm: 6.9164 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/08/03 17:29:59 - mmengine - INFO - Epoch(train) [179][420/1879] lr: 1.0000e-04 eta: 11:34:04 time: 0.2851 data_time: 0.0200 memory: 8198 grad_norm: 7.1822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8801 loss: 0.8801 2022/08/03 17:30:05 - mmengine - INFO - Epoch(train) [179][440/1879] lr: 1.0000e-04 eta: 11:33:58 time: 0.2873 data_time: 0.0262 memory: 8198 grad_norm: 6.9925 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8601 loss: 0.8601 2022/08/03 17:30:11 - mmengine - INFO - Epoch(train) [179][460/1879] lr: 1.0000e-04 eta: 11:33:52 time: 0.2923 data_time: 0.0247 memory: 8198 grad_norm: 7.4397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/08/03 17:30:17 - mmengine - INFO - Epoch(train) [179][480/1879] lr: 1.0000e-04 eta: 11:33:47 time: 0.2864 data_time: 0.0250 memory: 8198 grad_norm: 6.9555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9741 loss: 0.9741 2022/08/03 17:30:22 - mmengine - INFO - Epoch(train) [179][500/1879] lr: 1.0000e-04 eta: 11:33:41 time: 0.2844 data_time: 0.0231 memory: 8198 grad_norm: 7.0834 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8620 loss: 0.8620 2022/08/03 17:30:28 - mmengine - INFO - Epoch(train) [179][520/1879] lr: 1.0000e-04 eta: 11:33:35 time: 0.2836 data_time: 0.0225 memory: 8198 grad_norm: 6.7528 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/08/03 17:30:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:30:34 - mmengine - INFO - Epoch(train) [179][540/1879] lr: 1.0000e-04 eta: 11:33:30 time: 0.2908 data_time: 0.0240 memory: 8198 grad_norm: 7.0732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0340 loss: 1.0340 2022/08/03 17:30:40 - mmengine - INFO - Epoch(train) [179][560/1879] lr: 1.0000e-04 eta: 11:33:24 time: 0.2837 data_time: 0.0267 memory: 8198 grad_norm: 7.2469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0594 loss: 1.0594 2022/08/03 17:30:45 - mmengine - INFO - Epoch(train) [179][580/1879] lr: 1.0000e-04 eta: 11:33:18 time: 0.2854 data_time: 0.0234 memory: 8198 grad_norm: 6.8822 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8929 loss: 0.8929 2022/08/03 17:30:51 - mmengine - INFO - Epoch(train) [179][600/1879] lr: 1.0000e-04 eta: 11:33:13 time: 0.2889 data_time: 0.0250 memory: 8198 grad_norm: 7.1236 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/08/03 17:30:57 - mmengine - INFO - Epoch(train) [179][620/1879] lr: 1.0000e-04 eta: 11:33:07 time: 0.2864 data_time: 0.0248 memory: 8198 grad_norm: 6.8509 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9196 loss: 0.9196 2022/08/03 17:31:03 - mmengine - INFO - Epoch(train) [179][640/1879] lr: 1.0000e-04 eta: 11:33:01 time: 0.2919 data_time: 0.0221 memory: 8198 grad_norm: 7.0819 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/03 17:31:09 - mmengine - INFO - Epoch(train) [179][660/1879] lr: 1.0000e-04 eta: 11:32:56 time: 0.2839 data_time: 0.0219 memory: 8198 grad_norm: 7.0322 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9867 loss: 0.9867 2022/08/03 17:31:14 - mmengine - INFO - Epoch(train) [179][680/1879] lr: 1.0000e-04 eta: 11:32:50 time: 0.2851 data_time: 0.0200 memory: 8198 grad_norm: 7.0167 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9537 loss: 0.9537 2022/08/03 17:31:20 - mmengine - INFO - Epoch(train) [179][700/1879] lr: 1.0000e-04 eta: 11:32:44 time: 0.2876 data_time: 0.0242 memory: 8198 grad_norm: 6.8008 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9380 loss: 0.9380 2022/08/03 17:31:26 - mmengine - INFO - Epoch(train) [179][720/1879] lr: 1.0000e-04 eta: 11:32:38 time: 0.2835 data_time: 0.0210 memory: 8198 grad_norm: 7.1139 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0488 loss: 1.0488 2022/08/03 17:31:31 - mmengine - INFO - Epoch(train) [179][740/1879] lr: 1.0000e-04 eta: 11:32:33 time: 0.2840 data_time: 0.0240 memory: 8198 grad_norm: 6.7599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9982 loss: 0.9982 2022/08/03 17:31:37 - mmengine - INFO - Epoch(train) [179][760/1879] lr: 1.0000e-04 eta: 11:32:27 time: 0.2859 data_time: 0.0220 memory: 8198 grad_norm: 6.8809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/03 17:31:43 - mmengine - INFO - Epoch(train) [179][780/1879] lr: 1.0000e-04 eta: 11:32:21 time: 0.2990 data_time: 0.0201 memory: 8198 grad_norm: 6.9856 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8354 loss: 0.8354 2022/08/03 17:31:49 - mmengine - INFO - Epoch(train) [179][800/1879] lr: 1.0000e-04 eta: 11:32:16 time: 0.2855 data_time: 0.0221 memory: 8198 grad_norm: 7.2475 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9998 loss: 0.9998 2022/08/03 17:31:55 - mmengine - INFO - Epoch(train) [179][820/1879] lr: 1.0000e-04 eta: 11:32:10 time: 0.2973 data_time: 0.0244 memory: 8198 grad_norm: 7.1773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9845 loss: 0.9845 2022/08/03 17:32:01 - mmengine - INFO - Epoch(train) [179][840/1879] lr: 1.0000e-04 eta: 11:32:04 time: 0.2846 data_time: 0.0238 memory: 8198 grad_norm: 6.8708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0630 loss: 1.0630 2022/08/03 17:32:06 - mmengine - INFO - Epoch(train) [179][860/1879] lr: 1.0000e-04 eta: 11:31:59 time: 0.2906 data_time: 0.0278 memory: 8198 grad_norm: 6.9069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9137 loss: 0.9137 2022/08/03 17:32:12 - mmengine - INFO - Epoch(train) [179][880/1879] lr: 1.0000e-04 eta: 11:31:53 time: 0.2888 data_time: 0.0231 memory: 8198 grad_norm: 6.9423 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9949 loss: 0.9949 2022/08/03 17:32:18 - mmengine - INFO - Epoch(train) [179][900/1879] lr: 1.0000e-04 eta: 11:31:47 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 7.1915 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0335 loss: 1.0335 2022/08/03 17:32:24 - mmengine - INFO - Epoch(train) [179][920/1879] lr: 1.0000e-04 eta: 11:31:42 time: 0.2841 data_time: 0.0254 memory: 8198 grad_norm: 7.1098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/08/03 17:32:29 - mmengine - INFO - Epoch(train) [179][940/1879] lr: 1.0000e-04 eta: 11:31:36 time: 0.2865 data_time: 0.0216 memory: 8198 grad_norm: 6.9993 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1176 loss: 1.1176 2022/08/03 17:32:35 - mmengine - INFO - Epoch(train) [179][960/1879] lr: 1.0000e-04 eta: 11:31:30 time: 0.2872 data_time: 0.0200 memory: 8198 grad_norm: 7.1181 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9905 loss: 0.9905 2022/08/03 17:32:41 - mmengine - INFO - Epoch(train) [179][980/1879] lr: 1.0000e-04 eta: 11:31:25 time: 0.3028 data_time: 0.0234 memory: 8198 grad_norm: 7.2295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0921 loss: 1.0921 2022/08/03 17:32:47 - mmengine - INFO - Epoch(train) [179][1000/1879] lr: 1.0000e-04 eta: 11:31:19 time: 0.2831 data_time: 0.0237 memory: 8198 grad_norm: 7.1350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/08/03 17:32:53 - mmengine - INFO - Epoch(train) [179][1020/1879] lr: 1.0000e-04 eta: 11:31:13 time: 0.2894 data_time: 0.0219 memory: 8198 grad_norm: 7.1133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9740 loss: 0.9740 2022/08/03 17:32:58 - mmengine - INFO - Epoch(train) [179][1040/1879] lr: 1.0000e-04 eta: 11:31:08 time: 0.2833 data_time: 0.0216 memory: 8198 grad_norm: 7.1762 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1303 loss: 1.1303 2022/08/03 17:33:04 - mmengine - INFO - Epoch(train) [179][1060/1879] lr: 1.0000e-04 eta: 11:31:02 time: 0.2850 data_time: 0.0204 memory: 8198 grad_norm: 6.7544 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8242 loss: 0.8242 2022/08/03 17:33:10 - mmengine - INFO - Epoch(train) [179][1080/1879] lr: 1.0000e-04 eta: 11:30:56 time: 0.2940 data_time: 0.0229 memory: 8198 grad_norm: 7.3107 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9141 loss: 0.9141 2022/08/03 17:33:16 - mmengine - INFO - Epoch(train) [179][1100/1879] lr: 1.0000e-04 eta: 11:30:51 time: 0.2886 data_time: 0.0284 memory: 8198 grad_norm: 7.0054 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9472 loss: 0.9472 2022/08/03 17:33:22 - mmengine - INFO - Epoch(train) [179][1120/1879] lr: 1.0000e-04 eta: 11:30:45 time: 0.2900 data_time: 0.0272 memory: 8198 grad_norm: 6.9033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8717 loss: 0.8717 2022/08/03 17:33:28 - mmengine - INFO - Epoch(train) [179][1140/1879] lr: 1.0000e-04 eta: 11:30:39 time: 0.2876 data_time: 0.0222 memory: 8198 grad_norm: 7.1173 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7595 loss: 0.7595 2022/08/03 17:33:33 - mmengine - INFO - Epoch(train) [179][1160/1879] lr: 1.0000e-04 eta: 11:30:34 time: 0.2858 data_time: 0.0188 memory: 8198 grad_norm: 7.0877 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0877 loss: 1.0877 2022/08/03 17:33:39 - mmengine - INFO - Epoch(train) [179][1180/1879] lr: 1.0000e-04 eta: 11:30:28 time: 0.2860 data_time: 0.0263 memory: 8198 grad_norm: 7.0743 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/03 17:33:45 - mmengine - INFO - Epoch(train) [179][1200/1879] lr: 1.0000e-04 eta: 11:30:23 time: 0.3199 data_time: 0.0236 memory: 8198 grad_norm: 7.0975 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0746 loss: 1.0746 2022/08/03 17:33:51 - mmengine - INFO - Epoch(train) [179][1220/1879] lr: 1.0000e-04 eta: 11:30:17 time: 0.2886 data_time: 0.0251 memory: 8198 grad_norm: 7.2484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0517 loss: 1.0517 2022/08/03 17:33:57 - mmengine - INFO - Epoch(train) [179][1240/1879] lr: 1.0000e-04 eta: 11:30:11 time: 0.2858 data_time: 0.0236 memory: 8198 grad_norm: 7.1791 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9636 loss: 0.9636 2022/08/03 17:34:03 - mmengine - INFO - Epoch(train) [179][1260/1879] lr: 1.0000e-04 eta: 11:30:06 time: 0.3069 data_time: 0.0251 memory: 8198 grad_norm: 7.1183 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1406 loss: 1.1406 2022/08/03 17:34:09 - mmengine - INFO - Epoch(train) [179][1280/1879] lr: 1.0000e-04 eta: 11:30:00 time: 0.2847 data_time: 0.0212 memory: 8198 grad_norm: 7.2802 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8201 loss: 0.8201 2022/08/03 17:34:15 - mmengine - INFO - Epoch(train) [179][1300/1879] lr: 1.0000e-04 eta: 11:29:54 time: 0.2837 data_time: 0.0216 memory: 8198 grad_norm: 7.0338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1324 loss: 1.1324 2022/08/03 17:34:20 - mmengine - INFO - Epoch(train) [179][1320/1879] lr: 1.0000e-04 eta: 11:29:49 time: 0.2918 data_time: 0.0208 memory: 8198 grad_norm: 7.2490 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0989 loss: 1.0989 2022/08/03 17:34:26 - mmengine - INFO - Epoch(train) [179][1340/1879] lr: 1.0000e-04 eta: 11:29:43 time: 0.2857 data_time: 0.0222 memory: 8198 grad_norm: 6.8280 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/08/03 17:34:32 - mmengine - INFO - Epoch(train) [179][1360/1879] lr: 1.0000e-04 eta: 11:29:37 time: 0.2905 data_time: 0.0179 memory: 8198 grad_norm: 6.9230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7857 loss: 0.7857 2022/08/03 17:34:38 - mmengine - INFO - Epoch(train) [179][1380/1879] lr: 1.0000e-04 eta: 11:29:32 time: 0.2866 data_time: 0.0249 memory: 8198 grad_norm: 7.2302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9258 loss: 0.9258 2022/08/03 17:34:44 - mmengine - INFO - Epoch(train) [179][1400/1879] lr: 1.0000e-04 eta: 11:29:26 time: 0.2871 data_time: 0.0260 memory: 8198 grad_norm: 7.0052 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1518 loss: 1.1518 2022/08/03 17:34:49 - mmengine - INFO - Epoch(train) [179][1420/1879] lr: 1.0000e-04 eta: 11:29:20 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 6.8900 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9169 loss: 0.9169 2022/08/03 17:34:55 - mmengine - INFO - Epoch(train) [179][1440/1879] lr: 1.0000e-04 eta: 11:29:15 time: 0.2877 data_time: 0.0199 memory: 8198 grad_norm: 7.2703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0983 loss: 1.0983 2022/08/03 17:35:01 - mmengine - INFO - Epoch(train) [179][1460/1879] lr: 1.0000e-04 eta: 11:29:09 time: 0.2878 data_time: 0.0316 memory: 8198 grad_norm: 7.1342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0044 loss: 1.0044 2022/08/03 17:35:06 - mmengine - INFO - Epoch(train) [179][1480/1879] lr: 1.0000e-04 eta: 11:29:03 time: 0.2840 data_time: 0.0211 memory: 8198 grad_norm: 7.0672 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8913 loss: 0.8913 2022/08/03 17:35:13 - mmengine - INFO - Epoch(train) [179][1500/1879] lr: 1.0000e-04 eta: 11:28:58 time: 0.3083 data_time: 0.0223 memory: 8198 grad_norm: 7.2517 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0704 loss: 1.0704 2022/08/03 17:35:18 - mmengine - INFO - Epoch(train) [179][1520/1879] lr: 1.0000e-04 eta: 11:28:52 time: 0.2817 data_time: 0.0188 memory: 8198 grad_norm: 6.9365 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/03 17:35:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:35:24 - mmengine - INFO - Epoch(train) [179][1540/1879] lr: 1.0000e-04 eta: 11:28:46 time: 0.2849 data_time: 0.0245 memory: 8198 grad_norm: 6.9531 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0092 loss: 1.0092 2022/08/03 17:35:30 - mmengine - INFO - Epoch(train) [179][1560/1879] lr: 1.0000e-04 eta: 11:28:41 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 6.8862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9061 loss: 0.9061 2022/08/03 17:35:36 - mmengine - INFO - Epoch(train) [179][1580/1879] lr: 1.0000e-04 eta: 11:28:35 time: 0.2914 data_time: 0.0257 memory: 8198 grad_norm: 6.8804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9519 loss: 0.9519 2022/08/03 17:35:41 - mmengine - INFO - Epoch(train) [179][1600/1879] lr: 1.0000e-04 eta: 11:28:29 time: 0.2854 data_time: 0.0164 memory: 8198 grad_norm: 6.8849 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8090 loss: 0.8090 2022/08/03 17:35:47 - mmengine - INFO - Epoch(train) [179][1620/1879] lr: 1.0000e-04 eta: 11:28:24 time: 0.2880 data_time: 0.0252 memory: 8198 grad_norm: 7.0600 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7678 loss: 0.7678 2022/08/03 17:35:53 - mmengine - INFO - Epoch(train) [179][1640/1879] lr: 1.0000e-04 eta: 11:28:18 time: 0.2971 data_time: 0.0238 memory: 8198 grad_norm: 6.9489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0972 loss: 1.0972 2022/08/03 17:35:59 - mmengine - INFO - Epoch(train) [179][1660/1879] lr: 1.0000e-04 eta: 11:28:12 time: 0.2875 data_time: 0.0244 memory: 8198 grad_norm: 6.9902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0179 loss: 1.0179 2022/08/03 17:36:05 - mmengine - INFO - Epoch(train) [179][1680/1879] lr: 1.0000e-04 eta: 11:28:07 time: 0.2866 data_time: 0.0246 memory: 8198 grad_norm: 7.0088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9530 loss: 0.9530 2022/08/03 17:36:11 - mmengine - INFO - Epoch(train) [179][1700/1879] lr: 1.0000e-04 eta: 11:28:01 time: 0.3279 data_time: 0.0281 memory: 8198 grad_norm: 7.0324 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1487 loss: 1.1487 2022/08/03 17:36:17 - mmengine - INFO - Epoch(train) [179][1720/1879] lr: 1.0000e-04 eta: 11:27:56 time: 0.2787 data_time: 0.0190 memory: 8198 grad_norm: 7.1859 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9888 loss: 0.9888 2022/08/03 17:36:23 - mmengine - INFO - Epoch(train) [179][1740/1879] lr: 1.0000e-04 eta: 11:27:50 time: 0.2849 data_time: 0.0231 memory: 8198 grad_norm: 7.0581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1016 loss: 1.1016 2022/08/03 17:36:28 - mmengine - INFO - Epoch(train) [179][1760/1879] lr: 1.0000e-04 eta: 11:27:44 time: 0.2883 data_time: 0.0197 memory: 8198 grad_norm: 7.4156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0354 loss: 1.0354 2022/08/03 17:36:34 - mmengine - INFO - Epoch(train) [179][1780/1879] lr: 1.0000e-04 eta: 11:27:39 time: 0.3012 data_time: 0.0209 memory: 8198 grad_norm: 6.8972 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0179 loss: 1.0179 2022/08/03 17:36:40 - mmengine - INFO - Epoch(train) [179][1800/1879] lr: 1.0000e-04 eta: 11:27:33 time: 0.2841 data_time: 0.0202 memory: 8198 grad_norm: 7.2390 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1145 loss: 1.1145 2022/08/03 17:36:46 - mmengine - INFO - Epoch(train) [179][1820/1879] lr: 1.0000e-04 eta: 11:27:27 time: 0.2882 data_time: 0.0260 memory: 8198 grad_norm: 7.1088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9998 loss: 0.9998 2022/08/03 17:36:52 - mmengine - INFO - Epoch(train) [179][1840/1879] lr: 1.0000e-04 eta: 11:27:22 time: 0.3123 data_time: 0.0175 memory: 8198 grad_norm: 7.0267 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9374 loss: 0.9374 2022/08/03 17:36:58 - mmengine - INFO - Epoch(train) [179][1860/1879] lr: 1.0000e-04 eta: 11:27:16 time: 0.2820 data_time: 0.0211 memory: 8198 grad_norm: 7.2363 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0728 loss: 1.0728 2022/08/03 17:37:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:37:03 - mmengine - INFO - Epoch(train) [179][1879/1879] lr: 1.0000e-04 eta: 11:27:16 time: 0.2633 data_time: 0.0181 memory: 8198 grad_norm: 7.2131 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9701 loss: 0.9701 2022/08/03 17:37:11 - mmengine - INFO - Epoch(train) [180][20/1879] lr: 1.0000e-04 eta: 11:27:04 time: 0.4009 data_time: 0.1231 memory: 8198 grad_norm: 7.3635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2029 loss: 1.2029 2022/08/03 17:37:17 - mmengine - INFO - Epoch(train) [180][40/1879] lr: 1.0000e-04 eta: 11:26:58 time: 0.2878 data_time: 0.0222 memory: 8198 grad_norm: 7.0964 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0932 loss: 1.0932 2022/08/03 17:37:23 - mmengine - INFO - Epoch(train) [180][60/1879] lr: 1.0000e-04 eta: 11:26:52 time: 0.2914 data_time: 0.0265 memory: 8198 grad_norm: 6.9907 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9508 loss: 0.9508 2022/08/03 17:37:28 - mmengine - INFO - Epoch(train) [180][80/1879] lr: 1.0000e-04 eta: 11:26:47 time: 0.2856 data_time: 0.0242 memory: 8198 grad_norm: 7.0320 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2082 loss: 1.2082 2022/08/03 17:37:34 - mmengine - INFO - Epoch(train) [180][100/1879] lr: 1.0000e-04 eta: 11:26:41 time: 0.2931 data_time: 0.0267 memory: 8198 grad_norm: 6.8510 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0212 loss: 1.0212 2022/08/03 17:37:40 - mmengine - INFO - Epoch(train) [180][120/1879] lr: 1.0000e-04 eta: 11:26:35 time: 0.2858 data_time: 0.0247 memory: 8198 grad_norm: 7.2549 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0690 loss: 1.0690 2022/08/03 17:37:46 - mmengine - INFO - Epoch(train) [180][140/1879] lr: 1.0000e-04 eta: 11:26:30 time: 0.2853 data_time: 0.0262 memory: 8198 grad_norm: 7.1545 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0451 loss: 1.0451 2022/08/03 17:37:52 - mmengine - INFO - Epoch(train) [180][160/1879] lr: 1.0000e-04 eta: 11:26:24 time: 0.2906 data_time: 0.0274 memory: 8198 grad_norm: 7.0148 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9644 loss: 0.9644 2022/08/03 17:37:57 - mmengine - INFO - Epoch(train) [180][180/1879] lr: 1.0000e-04 eta: 11:26:18 time: 0.2851 data_time: 0.0244 memory: 8198 grad_norm: 6.9424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8764 loss: 0.8764 2022/08/03 17:38:03 - mmengine - INFO - Epoch(train) [180][200/1879] lr: 1.0000e-04 eta: 11:26:13 time: 0.3005 data_time: 0.0247 memory: 8198 grad_norm: 7.0771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/03 17:38:09 - mmengine - INFO - Epoch(train) [180][220/1879] lr: 1.0000e-04 eta: 11:26:07 time: 0.2880 data_time: 0.0254 memory: 8198 grad_norm: 6.8000 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0059 loss: 1.0059 2022/08/03 17:38:15 - mmengine - INFO - Epoch(train) [180][240/1879] lr: 1.0000e-04 eta: 11:26:01 time: 0.2869 data_time: 0.0211 memory: 8198 grad_norm: 7.2119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0336 loss: 1.0336 2022/08/03 17:38:21 - mmengine - INFO - Epoch(train) [180][260/1879] lr: 1.0000e-04 eta: 11:25:56 time: 0.2856 data_time: 0.0277 memory: 8198 grad_norm: 7.2681 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9735 loss: 0.9735 2022/08/03 17:38:26 - mmengine - INFO - Epoch(train) [180][280/1879] lr: 1.0000e-04 eta: 11:25:50 time: 0.2853 data_time: 0.0260 memory: 8198 grad_norm: 7.2537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0319 loss: 1.0319 2022/08/03 17:38:32 - mmengine - INFO - Epoch(train) [180][300/1879] lr: 1.0000e-04 eta: 11:25:44 time: 0.2921 data_time: 0.0227 memory: 8198 grad_norm: 6.8892 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8430 loss: 0.8430 2022/08/03 17:38:38 - mmengine - INFO - Epoch(train) [180][320/1879] lr: 1.0000e-04 eta: 11:25:39 time: 0.2864 data_time: 0.0247 memory: 8198 grad_norm: 6.9769 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9644 loss: 0.9644 2022/08/03 17:38:44 - mmengine - INFO - Epoch(train) [180][340/1879] lr: 1.0000e-04 eta: 11:25:33 time: 0.2871 data_time: 0.0243 memory: 8198 grad_norm: 7.2059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1097 loss: 1.1097 2022/08/03 17:38:49 - mmengine - INFO - Epoch(train) [180][360/1879] lr: 1.0000e-04 eta: 11:25:27 time: 0.2867 data_time: 0.0225 memory: 8198 grad_norm: 6.9667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0581 loss: 1.0581 2022/08/03 17:38:55 - mmengine - INFO - Epoch(train) [180][380/1879] lr: 1.0000e-04 eta: 11:25:22 time: 0.2872 data_time: 0.0226 memory: 8198 grad_norm: 6.8263 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9512 loss: 0.9512 2022/08/03 17:39:01 - mmengine - INFO - Epoch(train) [180][400/1879] lr: 1.0000e-04 eta: 11:25:16 time: 0.2885 data_time: 0.0197 memory: 8198 grad_norm: 6.9459 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7985 loss: 0.7985 2022/08/03 17:39:07 - mmengine - INFO - Epoch(train) [180][420/1879] lr: 1.0000e-04 eta: 11:25:10 time: 0.2875 data_time: 0.0291 memory: 8198 grad_norm: 7.1238 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0493 loss: 1.0493 2022/08/03 17:39:13 - mmengine - INFO - Epoch(train) [180][440/1879] lr: 1.0000e-04 eta: 11:25:05 time: 0.2876 data_time: 0.0242 memory: 8198 grad_norm: 6.9462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0842 loss: 1.0842 2022/08/03 17:39:18 - mmengine - INFO - Epoch(train) [180][460/1879] lr: 1.0000e-04 eta: 11:24:59 time: 0.2859 data_time: 0.0192 memory: 8198 grad_norm: 7.1179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9063 loss: 0.9063 2022/08/03 17:39:24 - mmengine - INFO - Epoch(train) [180][480/1879] lr: 1.0000e-04 eta: 11:24:53 time: 0.2983 data_time: 0.0227 memory: 8198 grad_norm: 7.1549 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9538 loss: 0.9538 2022/08/03 17:39:30 - mmengine - INFO - Epoch(train) [180][500/1879] lr: 1.0000e-04 eta: 11:24:48 time: 0.2901 data_time: 0.0250 memory: 8198 grad_norm: 7.0192 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8475 loss: 0.8475 2022/08/03 17:39:36 - mmengine - INFO - Epoch(train) [180][520/1879] lr: 1.0000e-04 eta: 11:24:42 time: 0.2882 data_time: 0.0180 memory: 8198 grad_norm: 6.9487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8169 loss: 0.8169 2022/08/03 17:39:42 - mmengine - INFO - Epoch(train) [180][540/1879] lr: 1.0000e-04 eta: 11:24:36 time: 0.2956 data_time: 0.0261 memory: 8198 grad_norm: 6.9623 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0006 loss: 1.0006 2022/08/03 17:39:48 - mmengine - INFO - Epoch(train) [180][560/1879] lr: 1.0000e-04 eta: 11:24:31 time: 0.2863 data_time: 0.0179 memory: 8198 grad_norm: 7.1009 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9943 loss: 0.9943 2022/08/03 17:39:53 - mmengine - INFO - Epoch(train) [180][580/1879] lr: 1.0000e-04 eta: 11:24:25 time: 0.2875 data_time: 0.0213 memory: 8198 grad_norm: 6.9813 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0394 loss: 1.0394 2022/08/03 17:39:59 - mmengine - INFO - Epoch(train) [180][600/1879] lr: 1.0000e-04 eta: 11:24:19 time: 0.2841 data_time: 0.0213 memory: 8198 grad_norm: 6.8571 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8785 loss: 0.8785 2022/08/03 17:40:05 - mmengine - INFO - Epoch(train) [180][620/1879] lr: 1.0000e-04 eta: 11:24:14 time: 0.2943 data_time: 0.0220 memory: 8198 grad_norm: 7.0055 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/08/03 17:40:11 - mmengine - INFO - Epoch(train) [180][640/1879] lr: 1.0000e-04 eta: 11:24:08 time: 0.2853 data_time: 0.0242 memory: 8198 grad_norm: 6.8205 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0529 loss: 1.0529 2022/08/03 17:40:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:40:17 - mmengine - INFO - Epoch(train) [180][660/1879] lr: 1.0000e-04 eta: 11:24:02 time: 0.3030 data_time: 0.0257 memory: 8198 grad_norm: 7.0327 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9738 loss: 0.9738 2022/08/03 17:40:23 - mmengine - INFO - Epoch(train) [180][680/1879] lr: 1.0000e-04 eta: 11:23:57 time: 0.2850 data_time: 0.0197 memory: 8198 grad_norm: 7.2157 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1212 loss: 1.1212 2022/08/03 17:40:28 - mmengine - INFO - Epoch(train) [180][700/1879] lr: 1.0000e-04 eta: 11:23:51 time: 0.2881 data_time: 0.0210 memory: 8198 grad_norm: 6.8734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9430 loss: 0.9430 2022/08/03 17:40:34 - mmengine - INFO - Epoch(train) [180][720/1879] lr: 1.0000e-04 eta: 11:23:45 time: 0.2948 data_time: 0.0171 memory: 8198 grad_norm: 7.2371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/08/03 17:40:40 - mmengine - INFO - Epoch(train) [180][740/1879] lr: 1.0000e-04 eta: 11:23:40 time: 0.2859 data_time: 0.0279 memory: 8198 grad_norm: 6.9756 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9815 loss: 0.9815 2022/08/03 17:40:46 - mmengine - INFO - Epoch(train) [180][760/1879] lr: 1.0000e-04 eta: 11:23:34 time: 0.2861 data_time: 0.0228 memory: 8198 grad_norm: 6.8871 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9730 loss: 0.9730 2022/08/03 17:40:52 - mmengine - INFO - Epoch(train) [180][780/1879] lr: 1.0000e-04 eta: 11:23:28 time: 0.2962 data_time: 0.0247 memory: 8198 grad_norm: 6.8460 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8977 loss: 0.8977 2022/08/03 17:40:57 - mmengine - INFO - Epoch(train) [180][800/1879] lr: 1.0000e-04 eta: 11:23:23 time: 0.2829 data_time: 0.0258 memory: 8198 grad_norm: 6.8681 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9607 loss: 0.9607 2022/08/03 17:41:03 - mmengine - INFO - Epoch(train) [180][820/1879] lr: 1.0000e-04 eta: 11:23:17 time: 0.2964 data_time: 0.0196 memory: 8198 grad_norm: 6.9707 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1146 loss: 1.1146 2022/08/03 17:41:09 - mmengine - INFO - Epoch(train) [180][840/1879] lr: 1.0000e-04 eta: 11:23:11 time: 0.2822 data_time: 0.0212 memory: 8198 grad_norm: 6.9458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0321 loss: 1.0321 2022/08/03 17:41:15 - mmengine - INFO - Epoch(train) [180][860/1879] lr: 1.0000e-04 eta: 11:23:06 time: 0.2867 data_time: 0.0225 memory: 8198 grad_norm: 7.2678 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/03 17:41:21 - mmengine - INFO - Epoch(train) [180][880/1879] lr: 1.0000e-04 eta: 11:23:00 time: 0.2870 data_time: 0.0219 memory: 8198 grad_norm: 7.0317 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8898 loss: 0.8898 2022/08/03 17:41:26 - mmengine - INFO - Epoch(train) [180][900/1879] lr: 1.0000e-04 eta: 11:22:54 time: 0.2906 data_time: 0.0262 memory: 8198 grad_norm: 7.1141 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9280 loss: 0.9280 2022/08/03 17:41:32 - mmengine - INFO - Epoch(train) [180][920/1879] lr: 1.0000e-04 eta: 11:22:49 time: 0.2889 data_time: 0.0265 memory: 8198 grad_norm: 7.0396 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/08/03 17:41:38 - mmengine - INFO - Epoch(train) [180][940/1879] lr: 1.0000e-04 eta: 11:22:43 time: 0.2832 data_time: 0.0212 memory: 8198 grad_norm: 7.0223 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0613 loss: 1.0613 2022/08/03 17:41:44 - mmengine - INFO - Epoch(train) [180][960/1879] lr: 1.0000e-04 eta: 11:22:37 time: 0.2905 data_time: 0.0258 memory: 8198 grad_norm: 6.8229 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8994 loss: 0.8994 2022/08/03 17:41:49 - mmengine - INFO - Epoch(train) [180][980/1879] lr: 1.0000e-04 eta: 11:22:32 time: 0.2863 data_time: 0.0195 memory: 8198 grad_norm: 6.9321 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0017 loss: 1.0017 2022/08/03 17:41:55 - mmengine - INFO - Epoch(train) [180][1000/1879] lr: 1.0000e-04 eta: 11:22:26 time: 0.2843 data_time: 0.0252 memory: 8198 grad_norm: 6.9985 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8922 loss: 0.8922 2022/08/03 17:42:01 - mmengine - INFO - Epoch(train) [180][1020/1879] lr: 1.0000e-04 eta: 11:22:20 time: 0.2901 data_time: 0.0255 memory: 8198 grad_norm: 6.7954 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1012 loss: 1.1012 2022/08/03 17:42:07 - mmengine - INFO - Epoch(train) [180][1040/1879] lr: 1.0000e-04 eta: 11:22:15 time: 0.2847 data_time: 0.0191 memory: 8198 grad_norm: 6.8448 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0031 loss: 1.0031 2022/08/03 17:42:12 - mmengine - INFO - Epoch(train) [180][1060/1879] lr: 1.0000e-04 eta: 11:22:09 time: 0.2870 data_time: 0.0237 memory: 8198 grad_norm: 6.8959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8776 loss: 0.8776 2022/08/03 17:42:18 - mmengine - INFO - Epoch(train) [180][1080/1879] lr: 1.0000e-04 eta: 11:22:03 time: 0.2864 data_time: 0.0222 memory: 8198 grad_norm: 6.7336 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9021 loss: 0.9021 2022/08/03 17:42:24 - mmengine - INFO - Epoch(train) [180][1100/1879] lr: 1.0000e-04 eta: 11:21:58 time: 0.2884 data_time: 0.0268 memory: 8198 grad_norm: 6.8297 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7409 loss: 0.7409 2022/08/03 17:42:30 - mmengine - INFO - Epoch(train) [180][1120/1879] lr: 1.0000e-04 eta: 11:21:52 time: 0.2844 data_time: 0.0222 memory: 8198 grad_norm: 7.3625 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0083 loss: 1.0083 2022/08/03 17:42:36 - mmengine - INFO - Epoch(train) [180][1140/1879] lr: 1.0000e-04 eta: 11:21:46 time: 0.2982 data_time: 0.0215 memory: 8198 grad_norm: 7.0435 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0908 loss: 1.0908 2022/08/03 17:42:41 - mmengine - INFO - Epoch(train) [180][1160/1879] lr: 1.0000e-04 eta: 11:21:41 time: 0.2842 data_time: 0.0219 memory: 8198 grad_norm: 6.9988 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9249 loss: 0.9249 2022/08/03 17:42:47 - mmengine - INFO - Epoch(train) [180][1180/1879] lr: 1.0000e-04 eta: 11:21:35 time: 0.2885 data_time: 0.0243 memory: 8198 grad_norm: 7.0234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/03 17:42:53 - mmengine - INFO - Epoch(train) [180][1200/1879] lr: 1.0000e-04 eta: 11:21:29 time: 0.3091 data_time: 0.0224 memory: 8198 grad_norm: 6.8533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9249 loss: 0.9249 2022/08/03 17:42:59 - mmengine - INFO - Epoch(train) [180][1220/1879] lr: 1.0000e-04 eta: 11:21:24 time: 0.2851 data_time: 0.0215 memory: 8198 grad_norm: 7.3347 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1236 loss: 1.1236 2022/08/03 17:43:05 - mmengine - INFO - Epoch(train) [180][1240/1879] lr: 1.0000e-04 eta: 11:21:18 time: 0.2860 data_time: 0.0201 memory: 8198 grad_norm: 6.9641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9237 loss: 0.9237 2022/08/03 17:43:11 - mmengine - INFO - Epoch(train) [180][1260/1879] lr: 1.0000e-04 eta: 11:21:12 time: 0.2872 data_time: 0.0298 memory: 8198 grad_norm: 7.0854 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7561 loss: 0.7561 2022/08/03 17:43:17 - mmengine - INFO - Epoch(train) [180][1280/1879] lr: 1.0000e-04 eta: 11:21:07 time: 0.2912 data_time: 0.0220 memory: 8198 grad_norm: 7.1260 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1532 loss: 1.1532 2022/08/03 17:43:22 - mmengine - INFO - Epoch(train) [180][1300/1879] lr: 1.0000e-04 eta: 11:21:01 time: 0.2869 data_time: 0.0246 memory: 8198 grad_norm: 7.0714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9237 loss: 0.9237 2022/08/03 17:43:28 - mmengine - INFO - Epoch(train) [180][1320/1879] lr: 1.0000e-04 eta: 11:20:55 time: 0.2856 data_time: 0.0250 memory: 8198 grad_norm: 6.9890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0146 loss: 1.0146 2022/08/03 17:43:34 - mmengine - INFO - Epoch(train) [180][1340/1879] lr: 1.0000e-04 eta: 11:20:50 time: 0.2934 data_time: 0.0213 memory: 8198 grad_norm: 6.8393 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9969 loss: 0.9969 2022/08/03 17:43:40 - mmengine - INFO - Epoch(train) [180][1360/1879] lr: 1.0000e-04 eta: 11:20:44 time: 0.2809 data_time: 0.0202 memory: 8198 grad_norm: 7.0745 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0133 loss: 1.0133 2022/08/03 17:43:45 - mmengine - INFO - Epoch(train) [180][1380/1879] lr: 1.0000e-04 eta: 11:20:38 time: 0.2860 data_time: 0.0244 memory: 8198 grad_norm: 6.9169 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9989 loss: 0.9989 2022/08/03 17:43:52 - mmengine - INFO - Epoch(train) [180][1400/1879] lr: 1.0000e-04 eta: 11:20:33 time: 0.3265 data_time: 0.0292 memory: 8198 grad_norm: 6.9638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/08/03 17:43:58 - mmengine - INFO - Epoch(train) [180][1420/1879] lr: 1.0000e-04 eta: 11:20:27 time: 0.2791 data_time: 0.0192 memory: 8198 grad_norm: 7.0888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9673 loss: 0.9673 2022/08/03 17:44:03 - mmengine - INFO - Epoch(train) [180][1440/1879] lr: 1.0000e-04 eta: 11:20:21 time: 0.2832 data_time: 0.0190 memory: 8198 grad_norm: 7.0046 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/03 17:44:09 - mmengine - INFO - Epoch(train) [180][1460/1879] lr: 1.0000e-04 eta: 11:20:16 time: 0.2825 data_time: 0.0220 memory: 8198 grad_norm: 6.9967 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9346 loss: 0.9346 2022/08/03 17:44:15 - mmengine - INFO - Epoch(train) [180][1480/1879] lr: 1.0000e-04 eta: 11:20:10 time: 0.3078 data_time: 0.0230 memory: 8198 grad_norm: 7.1229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0096 loss: 1.0096 2022/08/03 17:44:21 - mmengine - INFO - Epoch(train) [180][1500/1879] lr: 1.0000e-04 eta: 11:20:05 time: 0.2858 data_time: 0.0228 memory: 8198 grad_norm: 7.1122 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8965 loss: 0.8965 2022/08/03 17:44:27 - mmengine - INFO - Epoch(train) [180][1520/1879] lr: 1.0000e-04 eta: 11:19:59 time: 0.2916 data_time: 0.0248 memory: 8198 grad_norm: 7.0952 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9634 loss: 0.9634 2022/08/03 17:44:33 - mmengine - INFO - Epoch(train) [180][1540/1879] lr: 1.0000e-04 eta: 11:19:53 time: 0.3008 data_time: 0.0189 memory: 8198 grad_norm: 7.1536 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9258 loss: 0.9258 2022/08/03 17:44:38 - mmengine - INFO - Epoch(train) [180][1560/1879] lr: 1.0000e-04 eta: 11:19:48 time: 0.2843 data_time: 0.0244 memory: 8198 grad_norm: 6.8444 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0003 loss: 1.0003 2022/08/03 17:44:44 - mmengine - INFO - Epoch(train) [180][1580/1879] lr: 1.0000e-04 eta: 11:19:42 time: 0.2862 data_time: 0.0255 memory: 8198 grad_norm: 6.9386 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8097 loss: 0.8097 2022/08/03 17:44:50 - mmengine - INFO - Epoch(train) [180][1600/1879] lr: 1.0000e-04 eta: 11:19:36 time: 0.2839 data_time: 0.0265 memory: 8198 grad_norm: 7.0614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/08/03 17:44:56 - mmengine - INFO - Epoch(train) [180][1620/1879] lr: 1.0000e-04 eta: 11:19:31 time: 0.2967 data_time: 0.0222 memory: 8198 grad_norm: 7.1890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9425 loss: 0.9425 2022/08/03 17:45:02 - mmengine - INFO - Epoch(train) [180][1640/1879] lr: 1.0000e-04 eta: 11:19:25 time: 0.2879 data_time: 0.0208 memory: 8198 grad_norm: 6.9354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9235 loss: 0.9235 2022/08/03 17:45:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:45:07 - mmengine - INFO - Epoch(train) [180][1660/1879] lr: 1.0000e-04 eta: 11:19:19 time: 0.2880 data_time: 0.0235 memory: 8198 grad_norm: 7.1830 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1081 loss: 1.1081 2022/08/03 17:45:13 - mmengine - INFO - Epoch(train) [180][1680/1879] lr: 1.0000e-04 eta: 11:19:14 time: 0.2891 data_time: 0.0171 memory: 8198 grad_norm: 6.8626 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9410 loss: 0.9410 2022/08/03 17:45:19 - mmengine - INFO - Epoch(train) [180][1700/1879] lr: 1.0000e-04 eta: 11:19:08 time: 0.2875 data_time: 0.0269 memory: 8198 grad_norm: 6.9335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/08/03 17:45:25 - mmengine - INFO - Epoch(train) [180][1720/1879] lr: 1.0000e-04 eta: 11:19:02 time: 0.2872 data_time: 0.0223 memory: 8198 grad_norm: 6.9714 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/08/03 17:45:31 - mmengine - INFO - Epoch(train) [180][1740/1879] lr: 1.0000e-04 eta: 11:18:57 time: 0.2877 data_time: 0.0247 memory: 8198 grad_norm: 6.6917 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9819 loss: 0.9819 2022/08/03 17:45:36 - mmengine - INFO - Epoch(train) [180][1760/1879] lr: 1.0000e-04 eta: 11:18:51 time: 0.2874 data_time: 0.0252 memory: 8198 grad_norm: 6.8921 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0925 loss: 1.0925 2022/08/03 17:45:42 - mmengine - INFO - Epoch(train) [180][1780/1879] lr: 1.0000e-04 eta: 11:18:45 time: 0.2865 data_time: 0.0224 memory: 8198 grad_norm: 6.9286 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0019 loss: 1.0019 2022/08/03 17:45:48 - mmengine - INFO - Epoch(train) [180][1800/1879] lr: 1.0000e-04 eta: 11:18:40 time: 0.2848 data_time: 0.0224 memory: 8198 grad_norm: 7.3798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0112 loss: 1.0112 2022/08/03 17:45:54 - mmengine - INFO - Epoch(train) [180][1820/1879] lr: 1.0000e-04 eta: 11:18:34 time: 0.2961 data_time: 0.0201 memory: 8198 grad_norm: 7.0837 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/03 17:45:59 - mmengine - INFO - Epoch(train) [180][1840/1879] lr: 1.0000e-04 eta: 11:18:28 time: 0.2826 data_time: 0.0234 memory: 8198 grad_norm: 7.2843 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0158 loss: 1.0158 2022/08/03 17:46:05 - mmengine - INFO - Epoch(train) [180][1860/1879] lr: 1.0000e-04 eta: 11:18:22 time: 0.2852 data_time: 0.0221 memory: 8198 grad_norm: 7.2520 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1262 loss: 1.1262 2022/08/03 17:46:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:46:10 - mmengine - INFO - Epoch(train) [180][1879/1879] lr: 1.0000e-04 eta: 11:18:22 time: 0.2593 data_time: 0.0173 memory: 8198 grad_norm: 7.2107 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/08/03 17:46:10 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/03 17:46:19 - mmengine - INFO - Epoch(val) [180][20/155] eta: 0:00:44 time: 0.3320 data_time: 0.2432 memory: 1514 2022/08/03 17:46:24 - mmengine - INFO - Epoch(val) [180][40/155] eta: 0:00:26 time: 0.2261 data_time: 0.1395 memory: 1514 2022/08/03 17:46:30 - mmengine - INFO - Epoch(val) [180][60/155] eta: 0:00:28 time: 0.3006 data_time: 0.2148 memory: 1514 2022/08/03 17:46:35 - mmengine - INFO - Epoch(val) [180][80/155] eta: 0:00:18 time: 0.2474 data_time: 0.1495 memory: 1514 2022/08/03 17:46:41 - mmengine - INFO - Epoch(val) [180][100/155] eta: 0:00:16 time: 0.2971 data_time: 0.2092 memory: 1514 2022/08/03 17:46:45 - mmengine - INFO - Epoch(val) [180][120/155] eta: 0:00:07 time: 0.2172 data_time: 0.1297 memory: 1514 2022/08/03 17:46:51 - mmengine - INFO - Epoch(val) [180][140/155] eta: 0:00:04 time: 0.2844 data_time: 0.2008 memory: 1514 2022/08/03 17:46:55 - mmengine - INFO - Epoch(val) [180][155/155] acc/top1: 0.6789 acc/top5: 0.8692 acc/mean1: 0.6787 2022/08/03 17:47:04 - mmengine - INFO - Epoch(train) [181][20/1879] lr: 1.0000e-04 eta: 11:18:10 time: 0.4122 data_time: 0.1063 memory: 8198 grad_norm: 6.6261 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7280 loss: 0.7280 2022/08/03 17:47:10 - mmengine - INFO - Epoch(train) [181][40/1879] lr: 1.0000e-04 eta: 11:18:05 time: 0.2959 data_time: 0.0242 memory: 8198 grad_norm: 7.1859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0619 loss: 1.0619 2022/08/03 17:47:15 - mmengine - INFO - Epoch(train) [181][60/1879] lr: 1.0000e-04 eta: 11:17:59 time: 0.2908 data_time: 0.0261 memory: 8198 grad_norm: 7.0080 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/03 17:47:21 - mmengine - INFO - Epoch(train) [181][80/1879] lr: 1.0000e-04 eta: 11:17:53 time: 0.2863 data_time: 0.0217 memory: 8198 grad_norm: 7.1093 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9483 loss: 0.9483 2022/08/03 17:47:27 - mmengine - INFO - Epoch(train) [181][100/1879] lr: 1.0000e-04 eta: 11:17:48 time: 0.2856 data_time: 0.0216 memory: 8198 grad_norm: 7.0647 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9351 loss: 0.9351 2022/08/03 17:47:33 - mmengine - INFO - Epoch(train) [181][120/1879] lr: 1.0000e-04 eta: 11:17:42 time: 0.2936 data_time: 0.0212 memory: 8198 grad_norm: 6.9343 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9064 loss: 0.9064 2022/08/03 17:47:39 - mmengine - INFO - Epoch(train) [181][140/1879] lr: 1.0000e-04 eta: 11:17:36 time: 0.2858 data_time: 0.0244 memory: 8198 grad_norm: 7.1975 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2133 loss: 1.2133 2022/08/03 17:47:45 - mmengine - INFO - Epoch(train) [181][160/1879] lr: 1.0000e-04 eta: 11:17:31 time: 0.2983 data_time: 0.0156 memory: 8198 grad_norm: 7.1643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7491 loss: 0.7491 2022/08/03 17:47:50 - mmengine - INFO - Epoch(train) [181][180/1879] lr: 1.0000e-04 eta: 11:17:25 time: 0.2880 data_time: 0.0211 memory: 8198 grad_norm: 7.1201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0398 loss: 1.0398 2022/08/03 17:47:56 - mmengine - INFO - Epoch(train) [181][200/1879] lr: 1.0000e-04 eta: 11:17:19 time: 0.2958 data_time: 0.0185 memory: 8198 grad_norm: 6.8609 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9366 loss: 0.9366 2022/08/03 17:48:02 - mmengine - INFO - Epoch(train) [181][220/1879] lr: 1.0000e-04 eta: 11:17:14 time: 0.2861 data_time: 0.0247 memory: 8198 grad_norm: 7.0634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0277 loss: 1.0277 2022/08/03 17:48:08 - mmengine - INFO - Epoch(train) [181][240/1879] lr: 1.0000e-04 eta: 11:17:08 time: 0.2833 data_time: 0.0215 memory: 8198 grad_norm: 7.0660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9398 loss: 0.9398 2022/08/03 17:48:14 - mmengine - INFO - Epoch(train) [181][260/1879] lr: 1.0000e-04 eta: 11:17:02 time: 0.2896 data_time: 0.0238 memory: 8198 grad_norm: 7.0599 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1439 loss: 1.1439 2022/08/03 17:48:19 - mmengine - INFO - Epoch(train) [181][280/1879] lr: 1.0000e-04 eta: 11:16:57 time: 0.2828 data_time: 0.0176 memory: 8198 grad_norm: 7.1197 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0604 loss: 1.0604 2022/08/03 17:48:25 - mmengine - INFO - Epoch(train) [181][300/1879] lr: 1.0000e-04 eta: 11:16:51 time: 0.2845 data_time: 0.0280 memory: 8198 grad_norm: 6.9926 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9948 loss: 0.9948 2022/08/03 17:48:31 - mmengine - INFO - Epoch(train) [181][320/1879] lr: 1.0000e-04 eta: 11:16:45 time: 0.2885 data_time: 0.0261 memory: 8198 grad_norm: 7.3756 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/03 17:48:37 - mmengine - INFO - Epoch(train) [181][340/1879] lr: 1.0000e-04 eta: 11:16:40 time: 0.2900 data_time: 0.0216 memory: 8198 grad_norm: 6.8378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0469 loss: 1.0469 2022/08/03 17:48:42 - mmengine - INFO - Epoch(train) [181][360/1879] lr: 1.0000e-04 eta: 11:16:34 time: 0.2894 data_time: 0.0222 memory: 8198 grad_norm: 6.8554 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8167 loss: 0.8167 2022/08/03 17:48:48 - mmengine - INFO - Epoch(train) [181][380/1879] lr: 1.0000e-04 eta: 11:16:28 time: 0.2841 data_time: 0.0245 memory: 8198 grad_norm: 6.9974 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0306 loss: 1.0306 2022/08/03 17:48:54 - mmengine - INFO - Epoch(train) [181][400/1879] lr: 1.0000e-04 eta: 11:16:22 time: 0.2871 data_time: 0.0195 memory: 8198 grad_norm: 6.9527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7860 loss: 0.7860 2022/08/03 17:49:00 - mmengine - INFO - Epoch(train) [181][420/1879] lr: 1.0000e-04 eta: 11:16:17 time: 0.2850 data_time: 0.0191 memory: 8198 grad_norm: 7.1408 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8865 loss: 0.8865 2022/08/03 17:49:05 - mmengine - INFO - Epoch(train) [181][440/1879] lr: 1.0000e-04 eta: 11:16:11 time: 0.2895 data_time: 0.0260 memory: 8198 grad_norm: 6.9046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/08/03 17:49:11 - mmengine - INFO - Epoch(train) [181][460/1879] lr: 1.0000e-04 eta: 11:16:05 time: 0.2852 data_time: 0.0226 memory: 8198 grad_norm: 6.9401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0734 loss: 1.0734 2022/08/03 17:49:17 - mmengine - INFO - Epoch(train) [181][480/1879] lr: 1.0000e-04 eta: 11:16:00 time: 0.2873 data_time: 0.0244 memory: 8198 grad_norm: 7.3529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2048 loss: 1.2048 2022/08/03 17:49:23 - mmengine - INFO - Epoch(train) [181][500/1879] lr: 1.0000e-04 eta: 11:15:54 time: 0.2868 data_time: 0.0226 memory: 8198 grad_norm: 7.0764 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9724 loss: 0.9724 2022/08/03 17:49:28 - mmengine - INFO - Epoch(train) [181][520/1879] lr: 1.0000e-04 eta: 11:15:48 time: 0.2873 data_time: 0.0232 memory: 8198 grad_norm: 7.0023 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9763 loss: 0.9763 2022/08/03 17:49:34 - mmengine - INFO - Epoch(train) [181][540/1879] lr: 1.0000e-04 eta: 11:15:43 time: 0.2851 data_time: 0.0218 memory: 8198 grad_norm: 6.9814 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9112 loss: 0.9112 2022/08/03 17:49:40 - mmengine - INFO - Epoch(train) [181][560/1879] lr: 1.0000e-04 eta: 11:15:37 time: 0.2828 data_time: 0.0216 memory: 8198 grad_norm: 7.2637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0705 loss: 1.0705 2022/08/03 17:49:46 - mmengine - INFO - Epoch(train) [181][580/1879] lr: 1.0000e-04 eta: 11:15:31 time: 0.2948 data_time: 0.0233 memory: 8198 grad_norm: 6.9902 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2489 loss: 1.2489 2022/08/03 17:49:51 - mmengine - INFO - Epoch(train) [181][600/1879] lr: 1.0000e-04 eta: 11:15:26 time: 0.2832 data_time: 0.0207 memory: 8198 grad_norm: 6.8019 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9976 loss: 0.9976 2022/08/03 17:49:57 - mmengine - INFO - Epoch(train) [181][620/1879] lr: 1.0000e-04 eta: 11:15:20 time: 0.2844 data_time: 0.0266 memory: 8198 grad_norm: 7.0328 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0276 loss: 1.0276 2022/08/03 17:50:03 - mmengine - INFO - Epoch(train) [181][640/1879] lr: 1.0000e-04 eta: 11:15:14 time: 0.3055 data_time: 0.0216 memory: 8198 grad_norm: 7.1176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8835 loss: 0.8835 2022/08/03 17:50:09 - mmengine - INFO - Epoch(train) [181][660/1879] lr: 1.0000e-04 eta: 11:15:09 time: 0.2860 data_time: 0.0215 memory: 8198 grad_norm: 7.4084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/03 17:50:15 - mmengine - INFO - Epoch(train) [181][680/1879] lr: 1.0000e-04 eta: 11:15:03 time: 0.2885 data_time: 0.0291 memory: 8198 grad_norm: 7.0601 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0167 loss: 1.0167 2022/08/03 17:50:21 - mmengine - INFO - Epoch(train) [181][700/1879] lr: 1.0000e-04 eta: 11:14:57 time: 0.2899 data_time: 0.0220 memory: 8198 grad_norm: 7.1246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9599 loss: 0.9599 2022/08/03 17:50:27 - mmengine - INFO - Epoch(train) [181][720/1879] lr: 1.0000e-04 eta: 11:14:52 time: 0.2996 data_time: 0.0184 memory: 8198 grad_norm: 6.9210 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1277 loss: 1.1277 2022/08/03 17:50:32 - mmengine - INFO - Epoch(train) [181][740/1879] lr: 1.0000e-04 eta: 11:14:46 time: 0.2857 data_time: 0.0248 memory: 8198 grad_norm: 7.0761 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0091 loss: 1.0091 2022/08/03 17:50:38 - mmengine - INFO - Epoch(train) [181][760/1879] lr: 1.0000e-04 eta: 11:14:40 time: 0.2848 data_time: 0.0225 memory: 8198 grad_norm: 7.2054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9056 loss: 0.9056 2022/08/03 17:50:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:50:44 - mmengine - INFO - Epoch(train) [181][780/1879] lr: 1.0000e-04 eta: 11:14:35 time: 0.2903 data_time: 0.0197 memory: 8198 grad_norm: 7.0235 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9502 loss: 0.9502 2022/08/03 17:50:50 - mmengine - INFO - Epoch(train) [181][800/1879] lr: 1.0000e-04 eta: 11:14:29 time: 0.2851 data_time: 0.0255 memory: 8198 grad_norm: 6.8240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8158 loss: 0.8158 2022/08/03 17:50:56 - mmengine - INFO - Epoch(train) [181][820/1879] lr: 1.0000e-04 eta: 11:14:23 time: 0.2911 data_time: 0.0207 memory: 8198 grad_norm: 6.9664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/08/03 17:51:01 - mmengine - INFO - Epoch(train) [181][840/1879] lr: 1.0000e-04 eta: 11:14:18 time: 0.2830 data_time: 0.0225 memory: 8198 grad_norm: 7.0178 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8186 loss: 0.8186 2022/08/03 17:51:07 - mmengine - INFO - Epoch(train) [181][860/1879] lr: 1.0000e-04 eta: 11:14:12 time: 0.2888 data_time: 0.0272 memory: 8198 grad_norm: 7.3353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2577 loss: 1.2577 2022/08/03 17:51:13 - mmengine - INFO - Epoch(train) [181][880/1879] lr: 1.0000e-04 eta: 11:14:06 time: 0.2883 data_time: 0.0203 memory: 8198 grad_norm: 6.9795 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/08/03 17:51:18 - mmengine - INFO - Epoch(train) [181][900/1879] lr: 1.0000e-04 eta: 11:14:01 time: 0.2835 data_time: 0.0205 memory: 8198 grad_norm: 6.9444 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9684 loss: 0.9684 2022/08/03 17:51:24 - mmengine - INFO - Epoch(train) [181][920/1879] lr: 1.0000e-04 eta: 11:13:55 time: 0.2913 data_time: 0.0214 memory: 8198 grad_norm: 7.1309 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9980 loss: 0.9980 2022/08/03 17:51:30 - mmengine - INFO - Epoch(train) [181][940/1879] lr: 1.0000e-04 eta: 11:13:49 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 7.0577 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9520 loss: 0.9520 2022/08/03 17:51:36 - mmengine - INFO - Epoch(train) [181][960/1879] lr: 1.0000e-04 eta: 11:13:44 time: 0.2924 data_time: 0.0174 memory: 8198 grad_norm: 7.2305 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0743 loss: 1.0743 2022/08/03 17:51:42 - mmengine - INFO - Epoch(train) [181][980/1879] lr: 1.0000e-04 eta: 11:13:38 time: 0.2942 data_time: 0.0346 memory: 8198 grad_norm: 7.1488 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0586 loss: 1.0586 2022/08/03 17:51:48 - mmengine - INFO - Epoch(train) [181][1000/1879] lr: 1.0000e-04 eta: 11:13:32 time: 0.2861 data_time: 0.0176 memory: 8198 grad_norm: 7.1368 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1070 loss: 1.1070 2022/08/03 17:51:53 - mmengine - INFO - Epoch(train) [181][1020/1879] lr: 1.0000e-04 eta: 11:13:27 time: 0.2862 data_time: 0.0231 memory: 8198 grad_norm: 7.0534 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0794 loss: 1.0794 2022/08/03 17:51:59 - mmengine - INFO - Epoch(train) [181][1040/1879] lr: 1.0000e-04 eta: 11:13:21 time: 0.2992 data_time: 0.0239 memory: 8198 grad_norm: 7.0825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/08/03 17:52:05 - mmengine - INFO - Epoch(train) [181][1060/1879] lr: 1.0000e-04 eta: 11:13:15 time: 0.2863 data_time: 0.0182 memory: 8198 grad_norm: 7.3651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2553 loss: 1.2553 2022/08/03 17:52:11 - mmengine - INFO - Epoch(train) [181][1080/1879] lr: 1.0000e-04 eta: 11:13:10 time: 0.2868 data_time: 0.0204 memory: 8198 grad_norm: 6.8894 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/08/03 17:52:17 - mmengine - INFO - Epoch(train) [181][1100/1879] lr: 1.0000e-04 eta: 11:13:04 time: 0.2902 data_time: 0.0216 memory: 8198 grad_norm: 7.1922 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9741 loss: 0.9741 2022/08/03 17:52:22 - mmengine - INFO - Epoch(train) [181][1120/1879] lr: 1.0000e-04 eta: 11:12:58 time: 0.2841 data_time: 0.0236 memory: 8198 grad_norm: 6.9753 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0847 loss: 1.0847 2022/08/03 17:52:28 - mmengine - INFO - Epoch(train) [181][1140/1879] lr: 1.0000e-04 eta: 11:12:53 time: 0.2876 data_time: 0.0256 memory: 8198 grad_norm: 7.0215 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1659 loss: 1.1659 2022/08/03 17:52:34 - mmengine - INFO - Epoch(train) [181][1160/1879] lr: 1.0000e-04 eta: 11:12:47 time: 0.2858 data_time: 0.0183 memory: 8198 grad_norm: 7.2170 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2313 loss: 1.2313 2022/08/03 17:52:40 - mmengine - INFO - Epoch(train) [181][1180/1879] lr: 1.0000e-04 eta: 11:12:41 time: 0.2852 data_time: 0.0211 memory: 8198 grad_norm: 6.9949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/03 17:52:45 - mmengine - INFO - Epoch(train) [181][1200/1879] lr: 1.0000e-04 eta: 11:12:36 time: 0.2870 data_time: 0.0182 memory: 8198 grad_norm: 6.9728 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9073 loss: 0.9073 2022/08/03 17:52:51 - mmengine - INFO - Epoch(train) [181][1220/1879] lr: 1.0000e-04 eta: 11:12:30 time: 0.2842 data_time: 0.0245 memory: 8198 grad_norm: 6.7612 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8360 loss: 0.8360 2022/08/03 17:52:57 - mmengine - INFO - Epoch(train) [181][1240/1879] lr: 1.0000e-04 eta: 11:12:24 time: 0.2894 data_time: 0.0234 memory: 8198 grad_norm: 7.2620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9261 loss: 0.9261 2022/08/03 17:53:03 - mmengine - INFO - Epoch(train) [181][1260/1879] lr: 1.0000e-04 eta: 11:12:19 time: 0.2927 data_time: 0.0217 memory: 8198 grad_norm: 7.0012 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1612 loss: 1.1612 2022/08/03 17:53:09 - mmengine - INFO - Epoch(train) [181][1280/1879] lr: 1.0000e-04 eta: 11:12:13 time: 0.2831 data_time: 0.0222 memory: 8198 grad_norm: 6.9252 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8586 loss: 0.8586 2022/08/03 17:53:14 - mmengine - INFO - Epoch(train) [181][1300/1879] lr: 1.0000e-04 eta: 11:12:07 time: 0.2900 data_time: 0.0241 memory: 8198 grad_norm: 7.3651 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0264 loss: 1.0264 2022/08/03 17:53:20 - mmengine - INFO - Epoch(train) [181][1320/1879] lr: 1.0000e-04 eta: 11:12:01 time: 0.2834 data_time: 0.0181 memory: 8198 grad_norm: 6.7406 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9587 loss: 0.9587 2022/08/03 17:53:26 - mmengine - INFO - Epoch(train) [181][1340/1879] lr: 1.0000e-04 eta: 11:11:56 time: 0.2926 data_time: 0.0263 memory: 8198 grad_norm: 7.0800 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9507 loss: 0.9507 2022/08/03 17:53:32 - mmengine - INFO - Epoch(train) [181][1360/1879] lr: 1.0000e-04 eta: 11:11:50 time: 0.2822 data_time: 0.0241 memory: 8198 grad_norm: 7.1402 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9960 loss: 0.9960 2022/08/03 17:53:37 - mmengine - INFO - Epoch(train) [181][1380/1879] lr: 1.0000e-04 eta: 11:11:44 time: 0.2863 data_time: 0.0233 memory: 8198 grad_norm: 7.0839 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9719 loss: 0.9719 2022/08/03 17:53:43 - mmengine - INFO - Epoch(train) [181][1400/1879] lr: 1.0000e-04 eta: 11:11:39 time: 0.2859 data_time: 0.0218 memory: 8198 grad_norm: 7.1066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9952 loss: 0.9952 2022/08/03 17:53:49 - mmengine - INFO - Epoch(train) [181][1420/1879] lr: 1.0000e-04 eta: 11:11:33 time: 0.2867 data_time: 0.0252 memory: 8198 grad_norm: 7.0406 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/03 17:53:55 - mmengine - INFO - Epoch(train) [181][1440/1879] lr: 1.0000e-04 eta: 11:11:27 time: 0.2897 data_time: 0.0239 memory: 8198 grad_norm: 7.1398 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/08/03 17:54:00 - mmengine - INFO - Epoch(train) [181][1460/1879] lr: 1.0000e-04 eta: 11:11:22 time: 0.2852 data_time: 0.0292 memory: 8198 grad_norm: 7.1461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9403 loss: 0.9403 2022/08/03 17:54:06 - mmengine - INFO - Epoch(train) [181][1480/1879] lr: 1.0000e-04 eta: 11:11:16 time: 0.2928 data_time: 0.0248 memory: 8198 grad_norm: 7.0683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9004 loss: 0.9004 2022/08/03 17:54:12 - mmengine - INFO - Epoch(train) [181][1500/1879] lr: 1.0000e-04 eta: 11:11:10 time: 0.2856 data_time: 0.0222 memory: 8198 grad_norm: 6.9794 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/03 17:54:18 - mmengine - INFO - Epoch(train) [181][1520/1879] lr: 1.0000e-04 eta: 11:11:05 time: 0.2839 data_time: 0.0259 memory: 8198 grad_norm: 7.0789 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0646 loss: 1.0646 2022/08/03 17:54:24 - mmengine - INFO - Epoch(train) [181][1540/1879] lr: 1.0000e-04 eta: 11:10:59 time: 0.2881 data_time: 0.0218 memory: 8198 grad_norm: 6.9782 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9204 loss: 0.9204 2022/08/03 17:54:29 - mmengine - INFO - Epoch(train) [181][1560/1879] lr: 1.0000e-04 eta: 11:10:53 time: 0.2850 data_time: 0.0235 memory: 8198 grad_norm: 7.0270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/08/03 17:54:35 - mmengine - INFO - Epoch(train) [181][1580/1879] lr: 1.0000e-04 eta: 11:10:48 time: 0.2996 data_time: 0.0187 memory: 8198 grad_norm: 7.0360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0960 loss: 1.0960 2022/08/03 17:54:41 - mmengine - INFO - Epoch(train) [181][1600/1879] lr: 1.0000e-04 eta: 11:10:42 time: 0.2830 data_time: 0.0176 memory: 8198 grad_norm: 6.9433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0171 loss: 1.0171 2022/08/03 17:54:47 - mmengine - INFO - Epoch(train) [181][1620/1879] lr: 1.0000e-04 eta: 11:10:36 time: 0.2966 data_time: 0.0238 memory: 8198 grad_norm: 7.2265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9142 loss: 0.9142 2022/08/03 17:54:53 - mmengine - INFO - Epoch(train) [181][1640/1879] lr: 1.0000e-04 eta: 11:10:31 time: 0.2874 data_time: 0.0221 memory: 8198 grad_norm: 7.0201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/08/03 17:54:58 - mmengine - INFO - Epoch(train) [181][1660/1879] lr: 1.0000e-04 eta: 11:10:25 time: 0.2863 data_time: 0.0252 memory: 8198 grad_norm: 6.9948 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9846 loss: 0.9846 2022/08/03 17:55:05 - mmengine - INFO - Epoch(train) [181][1680/1879] lr: 1.0000e-04 eta: 11:10:19 time: 0.3022 data_time: 0.0230 memory: 8198 grad_norm: 7.1518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/08/03 17:55:10 - mmengine - INFO - Epoch(train) [181][1700/1879] lr: 1.0000e-04 eta: 11:10:14 time: 0.2851 data_time: 0.0254 memory: 8198 grad_norm: 7.1708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0403 loss: 1.0403 2022/08/03 17:55:16 - mmengine - INFO - Epoch(train) [181][1720/1879] lr: 1.0000e-04 eta: 11:10:08 time: 0.2927 data_time: 0.0207 memory: 8198 grad_norm: 7.2270 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9546 loss: 0.9546 2022/08/03 17:55:22 - mmengine - INFO - Epoch(train) [181][1740/1879] lr: 1.0000e-04 eta: 11:10:02 time: 0.2849 data_time: 0.0222 memory: 8198 grad_norm: 6.9658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9112 loss: 0.9112 2022/08/03 17:55:28 - mmengine - INFO - Epoch(train) [181][1760/1879] lr: 1.0000e-04 eta: 11:09:57 time: 0.2884 data_time: 0.0233 memory: 8198 grad_norm: 6.9079 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/08/03 17:55:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:55:34 - mmengine - INFO - Epoch(train) [181][1780/1879] lr: 1.0000e-04 eta: 11:09:51 time: 0.2907 data_time: 0.0223 memory: 8198 grad_norm: 7.0686 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9671 loss: 0.9671 2022/08/03 17:55:39 - mmengine - INFO - Epoch(train) [181][1800/1879] lr: 1.0000e-04 eta: 11:09:45 time: 0.2844 data_time: 0.0239 memory: 8198 grad_norm: 7.0742 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/08/03 17:55:45 - mmengine - INFO - Epoch(train) [181][1820/1879] lr: 1.0000e-04 eta: 11:09:40 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 7.1883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8531 loss: 0.8531 2022/08/03 17:55:51 - mmengine - INFO - Epoch(train) [181][1840/1879] lr: 1.0000e-04 eta: 11:09:34 time: 0.2851 data_time: 0.0255 memory: 8198 grad_norm: 7.0346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9726 loss: 0.9726 2022/08/03 17:55:56 - mmengine - INFO - Epoch(train) [181][1860/1879] lr: 1.0000e-04 eta: 11:09:28 time: 0.2877 data_time: 0.0257 memory: 8198 grad_norm: 7.1945 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.9577 loss: 0.9577 2022/08/03 17:56:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 17:56:01 - mmengine - INFO - Epoch(train) [181][1879/1879] lr: 1.0000e-04 eta: 11:09:28 time: 0.2570 data_time: 0.0168 memory: 8198 grad_norm: 7.1150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9586 loss: 0.9586 2022/08/03 17:56:10 - mmengine - INFO - Epoch(train) [182][20/1879] lr: 1.0000e-04 eta: 11:09:16 time: 0.4123 data_time: 0.1212 memory: 8198 grad_norm: 7.0476 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0871 loss: 1.0871 2022/08/03 17:56:16 - mmengine - INFO - Epoch(train) [182][40/1879] lr: 1.0000e-04 eta: 11:09:10 time: 0.2919 data_time: 0.0213 memory: 8198 grad_norm: 7.1549 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9709 loss: 0.9709 2022/08/03 17:56:21 - mmengine - INFO - Epoch(train) [182][60/1879] lr: 1.0000e-04 eta: 11:09:05 time: 0.2885 data_time: 0.0262 memory: 8198 grad_norm: 7.0210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8391 loss: 0.8391 2022/08/03 17:56:27 - mmengine - INFO - Epoch(train) [182][80/1879] lr: 1.0000e-04 eta: 11:08:59 time: 0.3041 data_time: 0.0194 memory: 8198 grad_norm: 7.0454 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9661 loss: 0.9661 2022/08/03 17:56:33 - mmengine - INFO - Epoch(train) [182][100/1879] lr: 1.0000e-04 eta: 11:08:53 time: 0.2857 data_time: 0.0200 memory: 8198 grad_norm: 7.2030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9330 loss: 0.9330 2022/08/03 17:56:39 - mmengine - INFO - Epoch(train) [182][120/1879] lr: 1.0000e-04 eta: 11:08:48 time: 0.2877 data_time: 0.0216 memory: 8198 grad_norm: 6.8814 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9687 loss: 0.9687 2022/08/03 17:56:45 - mmengine - INFO - Epoch(train) [182][140/1879] lr: 1.0000e-04 eta: 11:08:42 time: 0.2896 data_time: 0.0269 memory: 8198 grad_norm: 6.8457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0872 loss: 1.0872 2022/08/03 17:56:51 - mmengine - INFO - Epoch(train) [182][160/1879] lr: 1.0000e-04 eta: 11:08:36 time: 0.2858 data_time: 0.0206 memory: 8198 grad_norm: 6.9407 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8541 loss: 0.8541 2022/08/03 17:56:56 - mmengine - INFO - Epoch(train) [182][180/1879] lr: 1.0000e-04 eta: 11:08:31 time: 0.2852 data_time: 0.0245 memory: 8198 grad_norm: 7.2230 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0487 loss: 1.0487 2022/08/03 17:57:02 - mmengine - INFO - Epoch(train) [182][200/1879] lr: 1.0000e-04 eta: 11:08:25 time: 0.2964 data_time: 0.0191 memory: 8198 grad_norm: 6.9813 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0291 loss: 1.0291 2022/08/03 17:57:08 - mmengine - INFO - Epoch(train) [182][220/1879] lr: 1.0000e-04 eta: 11:08:19 time: 0.2823 data_time: 0.0203 memory: 8198 grad_norm: 6.7679 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/08/03 17:57:14 - mmengine - INFO - Epoch(train) [182][240/1879] lr: 1.0000e-04 eta: 11:08:14 time: 0.2864 data_time: 0.0204 memory: 8198 grad_norm: 7.0202 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8987 loss: 0.8987 2022/08/03 17:57:19 - mmengine - INFO - Epoch(train) [182][260/1879] lr: 1.0000e-04 eta: 11:08:08 time: 0.2860 data_time: 0.0215 memory: 8198 grad_norm: 6.8060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9410 loss: 0.9410 2022/08/03 17:57:28 - mmengine - INFO - Epoch(train) [182][280/1879] lr: 1.0000e-04 eta: 11:08:04 time: 0.4425 data_time: 0.0188 memory: 8198 grad_norm: 7.1276 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0401 loss: 1.0401 2022/08/03 17:57:34 - mmengine - INFO - Epoch(train) [182][300/1879] lr: 1.0000e-04 eta: 11:07:58 time: 0.3014 data_time: 0.0231 memory: 8198 grad_norm: 6.9903 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9542 loss: 0.9542 2022/08/03 17:57:40 - mmengine - INFO - Epoch(train) [182][320/1879] lr: 1.0000e-04 eta: 11:07:52 time: 0.2887 data_time: 0.0247 memory: 8198 grad_norm: 7.0297 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/08/03 17:57:46 - mmengine - INFO - Epoch(train) [182][340/1879] lr: 1.0000e-04 eta: 11:07:47 time: 0.2853 data_time: 0.0226 memory: 8198 grad_norm: 6.9686 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9822 loss: 0.9822 2022/08/03 17:57:52 - mmengine - INFO - Epoch(train) [182][360/1879] lr: 1.0000e-04 eta: 11:07:41 time: 0.2842 data_time: 0.0203 memory: 8198 grad_norm: 7.2205 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0644 loss: 1.0644 2022/08/03 17:57:58 - mmengine - INFO - Epoch(train) [182][380/1879] lr: 1.0000e-04 eta: 11:07:35 time: 0.2998 data_time: 0.0266 memory: 8198 grad_norm: 7.1487 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/03 17:58:03 - mmengine - INFO - Epoch(train) [182][400/1879] lr: 1.0000e-04 eta: 11:07:30 time: 0.2836 data_time: 0.0200 memory: 8198 grad_norm: 7.1148 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9573 loss: 0.9573 2022/08/03 17:58:09 - mmengine - INFO - Epoch(train) [182][420/1879] lr: 1.0000e-04 eta: 11:07:24 time: 0.2864 data_time: 0.0245 memory: 8198 grad_norm: 6.9638 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0579 loss: 1.0579 2022/08/03 17:58:15 - mmengine - INFO - Epoch(train) [182][440/1879] lr: 1.0000e-04 eta: 11:07:18 time: 0.2908 data_time: 0.0297 memory: 8198 grad_norm: 7.1320 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/08/03 17:58:21 - mmengine - INFO - Epoch(train) [182][460/1879] lr: 1.0000e-04 eta: 11:07:13 time: 0.2901 data_time: 0.0265 memory: 8198 grad_norm: 6.7820 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9145 loss: 0.9145 2022/08/03 17:58:26 - mmengine - INFO - Epoch(train) [182][480/1879] lr: 1.0000e-04 eta: 11:07:07 time: 0.2854 data_time: 0.0184 memory: 8198 grad_norm: 7.1220 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9058 loss: 0.9058 2022/08/03 17:58:32 - mmengine - INFO - Epoch(train) [182][500/1879] lr: 1.0000e-04 eta: 11:07:01 time: 0.2848 data_time: 0.0190 memory: 8198 grad_norm: 7.0302 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0158 loss: 1.0158 2022/08/03 17:58:38 - mmengine - INFO - Epoch(train) [182][520/1879] lr: 1.0000e-04 eta: 11:06:56 time: 0.2891 data_time: 0.0199 memory: 8198 grad_norm: 7.2310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8915 loss: 0.8915 2022/08/03 17:58:44 - mmengine - INFO - Epoch(train) [182][540/1879] lr: 1.0000e-04 eta: 11:06:50 time: 0.2867 data_time: 0.0263 memory: 8198 grad_norm: 7.0464 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8958 loss: 0.8958 2022/08/03 17:58:49 - mmengine - INFO - Epoch(train) [182][560/1879] lr: 1.0000e-04 eta: 11:06:44 time: 0.2839 data_time: 0.0167 memory: 8198 grad_norm: 6.9565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9455 loss: 0.9455 2022/08/03 17:58:55 - mmengine - INFO - Epoch(train) [182][580/1879] lr: 1.0000e-04 eta: 11:06:39 time: 0.3026 data_time: 0.0228 memory: 8198 grad_norm: 6.9719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9193 loss: 0.9193 2022/08/03 17:59:01 - mmengine - INFO - Epoch(train) [182][600/1879] lr: 1.0000e-04 eta: 11:06:33 time: 0.2835 data_time: 0.0252 memory: 8198 grad_norm: 7.3101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1249 loss: 1.1249 2022/08/03 17:59:07 - mmengine - INFO - Epoch(train) [182][620/1879] lr: 1.0000e-04 eta: 11:06:27 time: 0.2930 data_time: 0.0238 memory: 8198 grad_norm: 7.2677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9119 loss: 0.9119 2022/08/03 17:59:13 - mmengine - INFO - Epoch(train) [182][640/1879] lr: 1.0000e-04 eta: 11:06:22 time: 0.3059 data_time: 0.0262 memory: 8198 grad_norm: 6.9178 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/08/03 17:59:19 - mmengine - INFO - Epoch(train) [182][660/1879] lr: 1.0000e-04 eta: 11:06:16 time: 0.2815 data_time: 0.0245 memory: 8198 grad_norm: 7.2782 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0655 loss: 1.0655 2022/08/03 17:59:25 - mmengine - INFO - Epoch(train) [182][680/1879] lr: 1.0000e-04 eta: 11:06:10 time: 0.2964 data_time: 0.0179 memory: 8198 grad_norm: 7.2380 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9862 loss: 0.9862 2022/08/03 17:59:31 - mmengine - INFO - Epoch(train) [182][700/1879] lr: 1.0000e-04 eta: 11:06:05 time: 0.2839 data_time: 0.0221 memory: 8198 grad_norm: 6.8206 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8829 loss: 0.8829 2022/08/03 17:59:36 - mmengine - INFO - Epoch(train) [182][720/1879] lr: 1.0000e-04 eta: 11:05:59 time: 0.2905 data_time: 0.0237 memory: 8198 grad_norm: 7.0372 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8955 loss: 0.8955 2022/08/03 17:59:42 - mmengine - INFO - Epoch(train) [182][740/1879] lr: 1.0000e-04 eta: 11:05:53 time: 0.2836 data_time: 0.0252 memory: 8198 grad_norm: 7.2971 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0180 loss: 1.0180 2022/08/03 17:59:48 - mmengine - INFO - Epoch(train) [182][760/1879] lr: 1.0000e-04 eta: 11:05:48 time: 0.2869 data_time: 0.0212 memory: 8198 grad_norm: 6.9496 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9754 loss: 0.9754 2022/08/03 17:59:54 - mmengine - INFO - Epoch(train) [182][780/1879] lr: 1.0000e-04 eta: 11:05:42 time: 0.2923 data_time: 0.0256 memory: 8198 grad_norm: 6.9510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9868 loss: 0.9868 2022/08/03 17:59:59 - mmengine - INFO - Epoch(train) [182][800/1879] lr: 1.0000e-04 eta: 11:05:36 time: 0.2871 data_time: 0.0228 memory: 8198 grad_norm: 7.1865 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0039 loss: 1.0039 2022/08/03 18:00:09 - mmengine - INFO - Epoch(train) [182][820/1879] lr: 1.0000e-04 eta: 11:05:32 time: 0.4501 data_time: 0.0233 memory: 8198 grad_norm: 7.2017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9837 loss: 0.9837 2022/08/03 18:00:14 - mmengine - INFO - Epoch(train) [182][840/1879] lr: 1.0000e-04 eta: 11:05:26 time: 0.2885 data_time: 0.0221 memory: 8198 grad_norm: 7.0235 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/08/03 18:00:20 - mmengine - INFO - Epoch(train) [182][860/1879] lr: 1.0000e-04 eta: 11:05:21 time: 0.2834 data_time: 0.0199 memory: 8198 grad_norm: 7.1312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9432 loss: 0.9432 2022/08/03 18:00:26 - mmengine - INFO - Epoch(train) [182][880/1879] lr: 1.0000e-04 eta: 11:05:15 time: 0.3048 data_time: 0.0256 memory: 8198 grad_norm: 7.3096 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0037 loss: 1.0037 2022/08/03 18:00:32 - mmengine - INFO - Epoch(train) [182][900/1879] lr: 1.0000e-04 eta: 11:05:09 time: 0.2858 data_time: 0.0215 memory: 8198 grad_norm: 7.1330 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/08/03 18:00:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:00:38 - mmengine - INFO - Epoch(train) [182][920/1879] lr: 1.0000e-04 eta: 11:05:04 time: 0.2848 data_time: 0.0239 memory: 8198 grad_norm: 6.9793 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9778 loss: 0.9778 2022/08/03 18:00:44 - mmengine - INFO - Epoch(train) [182][940/1879] lr: 1.0000e-04 eta: 11:04:58 time: 0.3103 data_time: 0.0219 memory: 8198 grad_norm: 6.8996 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9982 loss: 0.9982 2022/08/03 18:00:49 - mmengine - INFO - Epoch(train) [182][960/1879] lr: 1.0000e-04 eta: 11:04:52 time: 0.2788 data_time: 0.0173 memory: 8198 grad_norm: 7.0878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1162 loss: 1.1162 2022/08/03 18:00:55 - mmengine - INFO - Epoch(train) [182][980/1879] lr: 1.0000e-04 eta: 11:04:47 time: 0.2970 data_time: 0.0241 memory: 8198 grad_norm: 7.1263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8940 loss: 0.8940 2022/08/03 18:01:01 - mmengine - INFO - Epoch(train) [182][1000/1879] lr: 1.0000e-04 eta: 11:04:41 time: 0.2826 data_time: 0.0190 memory: 8198 grad_norm: 7.0193 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9748 loss: 0.9748 2022/08/03 18:01:07 - mmengine - INFO - Epoch(train) [182][1020/1879] lr: 1.0000e-04 eta: 11:04:35 time: 0.2854 data_time: 0.0225 memory: 8198 grad_norm: 6.8484 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7661 loss: 0.7661 2022/08/03 18:01:13 - mmengine - INFO - Epoch(train) [182][1040/1879] lr: 1.0000e-04 eta: 11:04:30 time: 0.2839 data_time: 0.0202 memory: 8198 grad_norm: 7.1310 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9346 loss: 0.9346 2022/08/03 18:01:18 - mmengine - INFO - Epoch(train) [182][1060/1879] lr: 1.0000e-04 eta: 11:04:24 time: 0.2987 data_time: 0.0188 memory: 8198 grad_norm: 7.0830 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1408 loss: 1.1408 2022/08/03 18:01:24 - mmengine - INFO - Epoch(train) [182][1080/1879] lr: 1.0000e-04 eta: 11:04:18 time: 0.2857 data_time: 0.0281 memory: 8198 grad_norm: 7.3453 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9796 loss: 0.9796 2022/08/03 18:01:30 - mmengine - INFO - Epoch(train) [182][1100/1879] lr: 1.0000e-04 eta: 11:04:13 time: 0.2853 data_time: 0.0183 memory: 8198 grad_norm: 7.2533 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9195 loss: 0.9195 2022/08/03 18:01:36 - mmengine - INFO - Epoch(train) [182][1120/1879] lr: 1.0000e-04 eta: 11:04:07 time: 0.2905 data_time: 0.0269 memory: 8198 grad_norm: 7.2547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9291 loss: 0.9291 2022/08/03 18:01:42 - mmengine - INFO - Epoch(train) [182][1140/1879] lr: 1.0000e-04 eta: 11:04:01 time: 0.2858 data_time: 0.0235 memory: 8198 grad_norm: 7.1470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9624 loss: 0.9624 2022/08/03 18:01:47 - mmengine - INFO - Epoch(train) [182][1160/1879] lr: 1.0000e-04 eta: 11:03:56 time: 0.2878 data_time: 0.0248 memory: 8198 grad_norm: 7.0873 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/08/03 18:01:53 - mmengine - INFO - Epoch(train) [182][1180/1879] lr: 1.0000e-04 eta: 11:03:50 time: 0.2880 data_time: 0.0231 memory: 8198 grad_norm: 7.3114 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0190 loss: 1.0190 2022/08/03 18:01:59 - mmengine - INFO - Epoch(train) [182][1200/1879] lr: 1.0000e-04 eta: 11:03:44 time: 0.2820 data_time: 0.0183 memory: 8198 grad_norm: 7.1485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/08/03 18:02:05 - mmengine - INFO - Epoch(train) [182][1220/1879] lr: 1.0000e-04 eta: 11:03:39 time: 0.2874 data_time: 0.0207 memory: 8198 grad_norm: 6.7655 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1188 loss: 1.1188 2022/08/03 18:02:10 - mmengine - INFO - Epoch(train) [182][1240/1879] lr: 1.0000e-04 eta: 11:03:33 time: 0.2878 data_time: 0.0230 memory: 8198 grad_norm: 7.0536 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0187 loss: 1.0187 2022/08/03 18:02:16 - mmengine - INFO - Epoch(train) [182][1260/1879] lr: 1.0000e-04 eta: 11:03:27 time: 0.2846 data_time: 0.0277 memory: 8198 grad_norm: 7.1282 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0124 loss: 1.0124 2022/08/03 18:02:22 - mmengine - INFO - Epoch(train) [182][1280/1879] lr: 1.0000e-04 eta: 11:03:22 time: 0.2884 data_time: 0.0233 memory: 8198 grad_norm: 6.8710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0478 loss: 1.0478 2022/08/03 18:02:28 - mmengine - INFO - Epoch(train) [182][1300/1879] lr: 1.0000e-04 eta: 11:03:16 time: 0.2855 data_time: 0.0224 memory: 8198 grad_norm: 7.3201 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1163 loss: 1.1163 2022/08/03 18:02:33 - mmengine - INFO - Epoch(train) [182][1320/1879] lr: 1.0000e-04 eta: 11:03:10 time: 0.2892 data_time: 0.0193 memory: 8198 grad_norm: 6.9707 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0258 loss: 1.0258 2022/08/03 18:02:39 - mmengine - INFO - Epoch(train) [182][1340/1879] lr: 1.0000e-04 eta: 11:03:05 time: 0.2853 data_time: 0.0201 memory: 8198 grad_norm: 6.8525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9245 loss: 0.9245 2022/08/03 18:02:45 - mmengine - INFO - Epoch(train) [182][1360/1879] lr: 1.0000e-04 eta: 11:02:59 time: 0.2881 data_time: 0.0269 memory: 8198 grad_norm: 7.1620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8719 loss: 0.8719 2022/08/03 18:02:51 - mmengine - INFO - Epoch(train) [182][1380/1879] lr: 1.0000e-04 eta: 11:02:53 time: 0.2862 data_time: 0.0203 memory: 8198 grad_norm: 7.0481 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2532 loss: 1.2532 2022/08/03 18:02:56 - mmengine - INFO - Epoch(train) [182][1400/1879] lr: 1.0000e-04 eta: 11:02:48 time: 0.2898 data_time: 0.0236 memory: 8198 grad_norm: 7.2841 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0409 loss: 1.0409 2022/08/03 18:03:02 - mmengine - INFO - Epoch(train) [182][1420/1879] lr: 1.0000e-04 eta: 11:02:42 time: 0.2852 data_time: 0.0243 memory: 8198 grad_norm: 6.8644 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9291 loss: 0.9291 2022/08/03 18:03:08 - mmengine - INFO - Epoch(train) [182][1440/1879] lr: 1.0000e-04 eta: 11:02:36 time: 0.2845 data_time: 0.0201 memory: 8198 grad_norm: 6.9899 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8905 loss: 0.8905 2022/08/03 18:03:14 - mmengine - INFO - Epoch(train) [182][1460/1879] lr: 1.0000e-04 eta: 11:02:31 time: 0.2990 data_time: 0.0274 memory: 8198 grad_norm: 7.0388 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1619 loss: 1.1619 2022/08/03 18:03:20 - mmengine - INFO - Epoch(train) [182][1480/1879] lr: 1.0000e-04 eta: 11:02:25 time: 0.2837 data_time: 0.0205 memory: 8198 grad_norm: 6.8031 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8446 loss: 0.8446 2022/08/03 18:03:25 - mmengine - INFO - Epoch(train) [182][1500/1879] lr: 1.0000e-04 eta: 11:02:19 time: 0.2893 data_time: 0.0231 memory: 8198 grad_norm: 6.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9475 loss: 0.9475 2022/08/03 18:03:31 - mmengine - INFO - Epoch(train) [182][1520/1879] lr: 1.0000e-04 eta: 11:02:13 time: 0.2863 data_time: 0.0192 memory: 8198 grad_norm: 6.8190 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9080 loss: 0.9080 2022/08/03 18:03:37 - mmengine - INFO - Epoch(train) [182][1540/1879] lr: 1.0000e-04 eta: 11:02:08 time: 0.2913 data_time: 0.0208 memory: 8198 grad_norm: 7.0981 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9302 loss: 0.9302 2022/08/03 18:03:43 - mmengine - INFO - Epoch(train) [182][1560/1879] lr: 1.0000e-04 eta: 11:02:02 time: 0.2873 data_time: 0.0222 memory: 8198 grad_norm: 7.0106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1210 loss: 1.1210 2022/08/03 18:03:49 - mmengine - INFO - Epoch(train) [182][1580/1879] lr: 1.0000e-04 eta: 11:01:57 time: 0.2973 data_time: 0.0317 memory: 8198 grad_norm: 7.0824 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0113 loss: 1.0113 2022/08/03 18:03:55 - mmengine - INFO - Epoch(train) [182][1600/1879] lr: 1.0000e-04 eta: 11:01:51 time: 0.2958 data_time: 0.0203 memory: 8198 grad_norm: 7.2628 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8222 loss: 0.8222 2022/08/03 18:04:00 - mmengine - INFO - Epoch(train) [182][1620/1879] lr: 1.0000e-04 eta: 11:01:45 time: 0.2818 data_time: 0.0229 memory: 8198 grad_norm: 7.1049 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8538 loss: 0.8538 2022/08/03 18:04:06 - mmengine - INFO - Epoch(train) [182][1640/1879] lr: 1.0000e-04 eta: 11:01:40 time: 0.2912 data_time: 0.0321 memory: 8198 grad_norm: 7.0796 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8447 loss: 0.8447 2022/08/03 18:04:12 - mmengine - INFO - Epoch(train) [182][1660/1879] lr: 1.0000e-04 eta: 11:01:34 time: 0.2850 data_time: 0.0240 memory: 8198 grad_norm: 6.9148 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7849 loss: 0.7849 2022/08/03 18:04:18 - mmengine - INFO - Epoch(train) [182][1680/1879] lr: 1.0000e-04 eta: 11:01:28 time: 0.2880 data_time: 0.0198 memory: 8198 grad_norm: 7.2428 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1449 loss: 1.1449 2022/08/03 18:04:24 - mmengine - INFO - Epoch(train) [182][1700/1879] lr: 1.0000e-04 eta: 11:01:23 time: 0.2901 data_time: 0.0259 memory: 8198 grad_norm: 6.8602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/08/03 18:04:29 - mmengine - INFO - Epoch(train) [182][1720/1879] lr: 1.0000e-04 eta: 11:01:17 time: 0.2842 data_time: 0.0237 memory: 8198 grad_norm: 7.1048 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9757 loss: 0.9757 2022/08/03 18:04:35 - mmengine - INFO - Epoch(train) [182][1740/1879] lr: 1.0000e-04 eta: 11:01:11 time: 0.2850 data_time: 0.0218 memory: 8198 grad_norm: 7.0456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9603 loss: 0.9603 2022/08/03 18:04:41 - mmengine - INFO - Epoch(train) [182][1760/1879] lr: 1.0000e-04 eta: 11:01:05 time: 0.2864 data_time: 0.0193 memory: 8198 grad_norm: 6.9948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8470 loss: 0.8470 2022/08/03 18:04:46 - mmengine - INFO - Epoch(train) [182][1780/1879] lr: 1.0000e-04 eta: 11:01:00 time: 0.2835 data_time: 0.0205 memory: 8198 grad_norm: 7.0595 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9671 loss: 0.9671 2022/08/03 18:04:52 - mmengine - INFO - Epoch(train) [182][1800/1879] lr: 1.0000e-04 eta: 11:00:54 time: 0.2867 data_time: 0.0225 memory: 8198 grad_norm: 7.2183 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1830 loss: 1.1830 2022/08/03 18:04:58 - mmengine - INFO - Epoch(train) [182][1820/1879] lr: 1.0000e-04 eta: 11:00:48 time: 0.2868 data_time: 0.0216 memory: 8198 grad_norm: 7.1661 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0212 loss: 1.0212 2022/08/03 18:05:04 - mmengine - INFO - Epoch(train) [182][1840/1879] lr: 1.0000e-04 eta: 11:00:43 time: 0.2883 data_time: 0.0274 memory: 8198 grad_norm: 7.1056 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/08/03 18:05:09 - mmengine - INFO - Epoch(train) [182][1860/1879] lr: 1.0000e-04 eta: 11:00:37 time: 0.2857 data_time: 0.0231 memory: 8198 grad_norm: 7.0466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8834 loss: 0.8834 2022/08/03 18:05:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:05:14 - mmengine - INFO - Epoch(train) [182][1879/1879] lr: 1.0000e-04 eta: 11:00:37 time: 0.2598 data_time: 0.0171 memory: 8198 grad_norm: 7.1873 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9375 loss: 0.9375 2022/08/03 18:05:23 - mmengine - INFO - Epoch(train) [183][20/1879] lr: 1.0000e-04 eta: 11:00:25 time: 0.4290 data_time: 0.1333 memory: 8198 grad_norm: 6.8295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/08/03 18:05:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:05:29 - mmengine - INFO - Epoch(train) [183][40/1879] lr: 1.0000e-04 eta: 11:00:19 time: 0.2979 data_time: 0.0197 memory: 8198 grad_norm: 7.1180 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0517 loss: 1.0517 2022/08/03 18:05:35 - mmengine - INFO - Epoch(train) [183][60/1879] lr: 1.0000e-04 eta: 11:00:14 time: 0.3171 data_time: 0.0172 memory: 8198 grad_norm: 7.0001 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9594 loss: 0.9594 2022/08/03 18:05:41 - mmengine - INFO - Epoch(train) [183][80/1879] lr: 1.0000e-04 eta: 11:00:08 time: 0.2867 data_time: 0.0283 memory: 8198 grad_norm: 6.9821 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9576 loss: 0.9576 2022/08/03 18:05:47 - mmengine - INFO - Epoch(train) [183][100/1879] lr: 1.0000e-04 eta: 11:00:02 time: 0.2933 data_time: 0.0339 memory: 8198 grad_norm: 6.9339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0684 loss: 1.0684 2022/08/03 18:05:53 - mmengine - INFO - Epoch(train) [183][120/1879] lr: 1.0000e-04 eta: 10:59:57 time: 0.2857 data_time: 0.0261 memory: 8198 grad_norm: 6.9296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/03 18:05:59 - mmengine - INFO - Epoch(train) [183][140/1879] lr: 1.0000e-04 eta: 10:59:51 time: 0.2884 data_time: 0.0251 memory: 8198 grad_norm: 6.9707 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8702 loss: 0.8702 2022/08/03 18:06:04 - mmengine - INFO - Epoch(train) [183][160/1879] lr: 1.0000e-04 eta: 10:59:45 time: 0.2892 data_time: 0.0247 memory: 8198 grad_norm: 6.9354 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8605 loss: 0.8605 2022/08/03 18:06:10 - mmengine - INFO - Epoch(train) [183][180/1879] lr: 1.0000e-04 eta: 10:59:40 time: 0.2866 data_time: 0.0209 memory: 8198 grad_norm: 7.0174 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0104 loss: 1.0104 2022/08/03 18:06:16 - mmengine - INFO - Epoch(train) [183][200/1879] lr: 1.0000e-04 eta: 10:59:34 time: 0.2939 data_time: 0.0276 memory: 8198 grad_norm: 6.8852 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/03 18:06:22 - mmengine - INFO - Epoch(train) [183][220/1879] lr: 1.0000e-04 eta: 10:59:28 time: 0.2840 data_time: 0.0230 memory: 8198 grad_norm: 6.8873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8441 loss: 0.8441 2022/08/03 18:06:28 - mmengine - INFO - Epoch(train) [183][240/1879] lr: 1.0000e-04 eta: 10:59:23 time: 0.2899 data_time: 0.0278 memory: 8198 grad_norm: 7.1603 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9041 loss: 0.9041 2022/08/03 18:06:34 - mmengine - INFO - Epoch(train) [183][260/1879] lr: 1.0000e-04 eta: 10:59:17 time: 0.2919 data_time: 0.0236 memory: 8198 grad_norm: 7.0395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9781 loss: 0.9781 2022/08/03 18:06:39 - mmengine - INFO - Epoch(train) [183][280/1879] lr: 1.0000e-04 eta: 10:59:11 time: 0.2872 data_time: 0.0249 memory: 8198 grad_norm: 6.8544 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/03 18:06:45 - mmengine - INFO - Epoch(train) [183][300/1879] lr: 1.0000e-04 eta: 10:59:06 time: 0.2823 data_time: 0.0177 memory: 8198 grad_norm: 7.2046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8788 loss: 0.8788 2022/08/03 18:06:51 - mmengine - INFO - Epoch(train) [183][320/1879] lr: 1.0000e-04 eta: 10:59:00 time: 0.2850 data_time: 0.0262 memory: 8198 grad_norm: 7.0962 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0698 loss: 1.0698 2022/08/03 18:06:57 - mmengine - INFO - Epoch(train) [183][340/1879] lr: 1.0000e-04 eta: 10:58:54 time: 0.2914 data_time: 0.0231 memory: 8198 grad_norm: 6.9888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0637 loss: 1.0637 2022/08/03 18:07:02 - mmengine - INFO - Epoch(train) [183][360/1879] lr: 1.0000e-04 eta: 10:58:49 time: 0.2859 data_time: 0.0219 memory: 8198 grad_norm: 6.9736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/08/03 18:07:08 - mmengine - INFO - Epoch(train) [183][380/1879] lr: 1.0000e-04 eta: 10:58:43 time: 0.2862 data_time: 0.0246 memory: 8198 grad_norm: 7.0982 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/08/03 18:07:14 - mmengine - INFO - Epoch(train) [183][400/1879] lr: 1.0000e-04 eta: 10:58:37 time: 0.2855 data_time: 0.0208 memory: 8198 grad_norm: 7.1776 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0544 loss: 1.0544 2022/08/03 18:07:19 - mmengine - INFO - Epoch(train) [183][420/1879] lr: 1.0000e-04 eta: 10:58:32 time: 0.2846 data_time: 0.0240 memory: 8198 grad_norm: 6.8787 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9821 loss: 0.9821 2022/08/03 18:07:25 - mmengine - INFO - Epoch(train) [183][440/1879] lr: 1.0000e-04 eta: 10:58:26 time: 0.2870 data_time: 0.0262 memory: 8198 grad_norm: 7.0604 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0712 loss: 1.0712 2022/08/03 18:07:31 - mmengine - INFO - Epoch(train) [183][460/1879] lr: 1.0000e-04 eta: 10:58:20 time: 0.2852 data_time: 0.0220 memory: 8198 grad_norm: 6.9832 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0966 loss: 1.0966 2022/08/03 18:07:37 - mmengine - INFO - Epoch(train) [183][480/1879] lr: 1.0000e-04 eta: 10:58:15 time: 0.3081 data_time: 0.0225 memory: 8198 grad_norm: 6.9046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8276 loss: 0.8276 2022/08/03 18:07:43 - mmengine - INFO - Epoch(train) [183][500/1879] lr: 1.0000e-04 eta: 10:58:09 time: 0.2832 data_time: 0.0204 memory: 8198 grad_norm: 7.3385 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0338 loss: 1.0338 2022/08/03 18:07:49 - mmengine - INFO - Epoch(train) [183][520/1879] lr: 1.0000e-04 eta: 10:58:03 time: 0.2878 data_time: 0.0191 memory: 8198 grad_norm: 7.0266 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/08/03 18:07:55 - mmengine - INFO - Epoch(train) [183][540/1879] lr: 1.0000e-04 eta: 10:57:58 time: 0.2962 data_time: 0.0210 memory: 8198 grad_norm: 7.0016 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9574 loss: 0.9574 2022/08/03 18:08:00 - mmengine - INFO - Epoch(train) [183][560/1879] lr: 1.0000e-04 eta: 10:57:52 time: 0.2817 data_time: 0.0184 memory: 8198 grad_norm: 6.9475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9236 loss: 0.9236 2022/08/03 18:08:06 - mmengine - INFO - Epoch(train) [183][580/1879] lr: 1.0000e-04 eta: 10:57:46 time: 0.2872 data_time: 0.0207 memory: 8198 grad_norm: 7.1215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0809 loss: 1.0809 2022/08/03 18:08:12 - mmengine - INFO - Epoch(train) [183][600/1879] lr: 1.0000e-04 eta: 10:57:41 time: 0.2847 data_time: 0.0222 memory: 8198 grad_norm: 7.0058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0125 loss: 1.0125 2022/08/03 18:08:18 - mmengine - INFO - Epoch(train) [183][620/1879] lr: 1.0000e-04 eta: 10:57:35 time: 0.2891 data_time: 0.0230 memory: 8198 grad_norm: 6.8453 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0065 loss: 1.0065 2022/08/03 18:08:23 - mmengine - INFO - Epoch(train) [183][640/1879] lr: 1.0000e-04 eta: 10:57:29 time: 0.2886 data_time: 0.0230 memory: 8198 grad_norm: 7.1772 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0373 loss: 1.0373 2022/08/03 18:08:29 - mmengine - INFO - Epoch(train) [183][660/1879] lr: 1.0000e-04 eta: 10:57:24 time: 0.2884 data_time: 0.0242 memory: 8198 grad_norm: 7.2735 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8783 loss: 0.8783 2022/08/03 18:08:35 - mmengine - INFO - Epoch(train) [183][680/1879] lr: 1.0000e-04 eta: 10:57:18 time: 0.2859 data_time: 0.0212 memory: 8198 grad_norm: 6.8961 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9632 loss: 0.9632 2022/08/03 18:08:41 - mmengine - INFO - Epoch(train) [183][700/1879] lr: 1.0000e-04 eta: 10:57:12 time: 0.2859 data_time: 0.0237 memory: 8198 grad_norm: 7.0209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7409 loss: 0.7409 2022/08/03 18:08:46 - mmengine - INFO - Epoch(train) [183][720/1879] lr: 1.0000e-04 eta: 10:57:06 time: 0.2858 data_time: 0.0232 memory: 8198 grad_norm: 6.9369 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0719 loss: 1.0719 2022/08/03 18:08:52 - mmengine - INFO - Epoch(train) [183][740/1879] lr: 1.0000e-04 eta: 10:57:01 time: 0.2842 data_time: 0.0186 memory: 8198 grad_norm: 6.9600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9212 loss: 0.9212 2022/08/03 18:08:58 - mmengine - INFO - Epoch(train) [183][760/1879] lr: 1.0000e-04 eta: 10:56:55 time: 0.2886 data_time: 0.0286 memory: 8198 grad_norm: 7.1074 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0261 loss: 1.0261 2022/08/03 18:09:04 - mmengine - INFO - Epoch(train) [183][780/1879] lr: 1.0000e-04 eta: 10:56:49 time: 0.2929 data_time: 0.0260 memory: 8198 grad_norm: 7.1045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/03 18:09:09 - mmengine - INFO - Epoch(train) [183][800/1879] lr: 1.0000e-04 eta: 10:56:44 time: 0.2854 data_time: 0.0202 memory: 8198 grad_norm: 7.0836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8806 loss: 0.8806 2022/08/03 18:09:15 - mmengine - INFO - Epoch(train) [183][820/1879] lr: 1.0000e-04 eta: 10:56:38 time: 0.2982 data_time: 0.0232 memory: 8198 grad_norm: 7.0156 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0813 loss: 1.0813 2022/08/03 18:09:21 - mmengine - INFO - Epoch(train) [183][840/1879] lr: 1.0000e-04 eta: 10:56:32 time: 0.2856 data_time: 0.0243 memory: 8198 grad_norm: 6.7674 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9862 loss: 0.9862 2022/08/03 18:09:27 - mmengine - INFO - Epoch(train) [183][860/1879] lr: 1.0000e-04 eta: 10:56:27 time: 0.2906 data_time: 0.0221 memory: 8198 grad_norm: 7.1611 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0261 loss: 1.0261 2022/08/03 18:09:33 - mmengine - INFO - Epoch(train) [183][880/1879] lr: 1.0000e-04 eta: 10:56:21 time: 0.2840 data_time: 0.0228 memory: 8198 grad_norm: 6.8699 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0859 loss: 1.0859 2022/08/03 18:09:39 - mmengine - INFO - Epoch(train) [183][900/1879] lr: 1.0000e-04 eta: 10:56:16 time: 0.3021 data_time: 0.0255 memory: 8198 grad_norm: 7.1185 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1209 loss: 1.1209 2022/08/03 18:09:45 - mmengine - INFO - Epoch(train) [183][920/1879] lr: 1.0000e-04 eta: 10:56:10 time: 0.2834 data_time: 0.0214 memory: 8198 grad_norm: 6.9235 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8486 loss: 0.8486 2022/08/03 18:09:50 - mmengine - INFO - Epoch(train) [183][940/1879] lr: 1.0000e-04 eta: 10:56:04 time: 0.2892 data_time: 0.0204 memory: 8198 grad_norm: 7.0769 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9502 loss: 0.9502 2022/08/03 18:09:56 - mmengine - INFO - Epoch(train) [183][960/1879] lr: 1.0000e-04 eta: 10:55:58 time: 0.2861 data_time: 0.0227 memory: 8198 grad_norm: 7.1478 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7638 loss: 0.7638 2022/08/03 18:10:02 - mmengine - INFO - Epoch(train) [183][980/1879] lr: 1.0000e-04 eta: 10:55:53 time: 0.2836 data_time: 0.0206 memory: 8198 grad_norm: 7.0520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9208 loss: 0.9208 2022/08/03 18:10:08 - mmengine - INFO - Epoch(train) [183][1000/1879] lr: 1.0000e-04 eta: 10:55:47 time: 0.2882 data_time: 0.0230 memory: 8198 grad_norm: 7.2998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1268 loss: 1.1268 2022/08/03 18:10:13 - mmengine - INFO - Epoch(train) [183][1020/1879] lr: 1.0000e-04 eta: 10:55:41 time: 0.2854 data_time: 0.0246 memory: 8198 grad_norm: 6.9039 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1591 loss: 1.1591 2022/08/03 18:10:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:10:19 - mmengine - INFO - Epoch(train) [183][1040/1879] lr: 1.0000e-04 eta: 10:55:36 time: 0.2914 data_time: 0.0262 memory: 8198 grad_norm: 7.1131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9077 loss: 0.9077 2022/08/03 18:10:25 - mmengine - INFO - Epoch(train) [183][1060/1879] lr: 1.0000e-04 eta: 10:55:30 time: 0.2866 data_time: 0.0174 memory: 8198 grad_norm: 6.9827 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9641 loss: 0.9641 2022/08/03 18:10:31 - mmengine - INFO - Epoch(train) [183][1080/1879] lr: 1.0000e-04 eta: 10:55:24 time: 0.2879 data_time: 0.0279 memory: 8198 grad_norm: 7.1695 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/08/03 18:10:36 - mmengine - INFO - Epoch(train) [183][1100/1879] lr: 1.0000e-04 eta: 10:55:19 time: 0.2878 data_time: 0.0249 memory: 8198 grad_norm: 7.1553 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0056 loss: 1.0056 2022/08/03 18:10:42 - mmengine - INFO - Epoch(train) [183][1120/1879] lr: 1.0000e-04 eta: 10:55:13 time: 0.2871 data_time: 0.0231 memory: 8198 grad_norm: 7.3081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/08/03 18:10:48 - mmengine - INFO - Epoch(train) [183][1140/1879] lr: 1.0000e-04 eta: 10:55:07 time: 0.2875 data_time: 0.0239 memory: 8198 grad_norm: 7.1364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/08/03 18:10:54 - mmengine - INFO - Epoch(train) [183][1160/1879] lr: 1.0000e-04 eta: 10:55:02 time: 0.3086 data_time: 0.0200 memory: 8198 grad_norm: 7.0018 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8613 loss: 0.8613 2022/08/03 18:11:00 - mmengine - INFO - Epoch(train) [183][1180/1879] lr: 1.0000e-04 eta: 10:54:56 time: 0.2807 data_time: 0.0209 memory: 8198 grad_norm: 7.2130 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8578 loss: 0.8578 2022/08/03 18:11:06 - mmengine - INFO - Epoch(train) [183][1200/1879] lr: 1.0000e-04 eta: 10:54:50 time: 0.2847 data_time: 0.0178 memory: 8198 grad_norm: 7.1215 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8911 loss: 0.8911 2022/08/03 18:11:11 - mmengine - INFO - Epoch(train) [183][1220/1879] lr: 1.0000e-04 eta: 10:54:45 time: 0.2865 data_time: 0.0239 memory: 8198 grad_norm: 6.7212 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/03 18:11:17 - mmengine - INFO - Epoch(train) [183][1240/1879] lr: 1.0000e-04 eta: 10:54:39 time: 0.2882 data_time: 0.0264 memory: 8198 grad_norm: 6.8766 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7563 loss: 0.7563 2022/08/03 18:11:23 - mmengine - INFO - Epoch(train) [183][1260/1879] lr: 1.0000e-04 eta: 10:54:33 time: 0.2837 data_time: 0.0209 memory: 8198 grad_norm: 6.8717 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9342 loss: 0.9342 2022/08/03 18:11:29 - mmengine - INFO - Epoch(train) [183][1280/1879] lr: 1.0000e-04 eta: 10:54:28 time: 0.2888 data_time: 0.0215 memory: 8198 grad_norm: 7.0921 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0984 loss: 1.0984 2022/08/03 18:11:34 - mmengine - INFO - Epoch(train) [183][1300/1879] lr: 1.0000e-04 eta: 10:54:22 time: 0.2920 data_time: 0.0259 memory: 8198 grad_norm: 7.0081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0130 loss: 1.0130 2022/08/03 18:11:40 - mmengine - INFO - Epoch(train) [183][1320/1879] lr: 1.0000e-04 eta: 10:54:16 time: 0.2848 data_time: 0.0253 memory: 8198 grad_norm: 7.1961 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2835 loss: 1.2835 2022/08/03 18:11:46 - mmengine - INFO - Epoch(train) [183][1340/1879] lr: 1.0000e-04 eta: 10:54:11 time: 0.2951 data_time: 0.0237 memory: 8198 grad_norm: 6.9879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/08/03 18:11:52 - mmengine - INFO - Epoch(train) [183][1360/1879] lr: 1.0000e-04 eta: 10:54:05 time: 0.2855 data_time: 0.0210 memory: 8198 grad_norm: 6.9548 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0082 loss: 1.0082 2022/08/03 18:11:58 - mmengine - INFO - Epoch(train) [183][1380/1879] lr: 1.0000e-04 eta: 10:53:59 time: 0.3020 data_time: 0.0232 memory: 8198 grad_norm: 7.0981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0522 loss: 1.0522 2022/08/03 18:12:04 - mmengine - INFO - Epoch(train) [183][1400/1879] lr: 1.0000e-04 eta: 10:53:54 time: 0.2842 data_time: 0.0203 memory: 8198 grad_norm: 7.0426 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/08/03 18:12:09 - mmengine - INFO - Epoch(train) [183][1420/1879] lr: 1.0000e-04 eta: 10:53:48 time: 0.2897 data_time: 0.0241 memory: 8198 grad_norm: 7.0610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9578 loss: 0.9578 2022/08/03 18:12:15 - mmengine - INFO - Epoch(train) [183][1440/1879] lr: 1.0000e-04 eta: 10:53:42 time: 0.2868 data_time: 0.0273 memory: 8198 grad_norm: 7.2365 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9945 loss: 0.9945 2022/08/03 18:12:21 - mmengine - INFO - Epoch(train) [183][1460/1879] lr: 1.0000e-04 eta: 10:53:37 time: 0.2848 data_time: 0.0220 memory: 8198 grad_norm: 7.0125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/08/03 18:12:27 - mmengine - INFO - Epoch(train) [183][1480/1879] lr: 1.0000e-04 eta: 10:53:31 time: 0.2861 data_time: 0.0215 memory: 8198 grad_norm: 7.0560 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9232 loss: 0.9232 2022/08/03 18:12:32 - mmengine - INFO - Epoch(train) [183][1500/1879] lr: 1.0000e-04 eta: 10:53:25 time: 0.2873 data_time: 0.0212 memory: 8198 grad_norm: 7.0014 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8439 loss: 0.8439 2022/08/03 18:12:38 - mmengine - INFO - Epoch(train) [183][1520/1879] lr: 1.0000e-04 eta: 10:53:20 time: 0.2883 data_time: 0.0257 memory: 8198 grad_norm: 6.8944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8765 loss: 0.8765 2022/08/03 18:12:44 - mmengine - INFO - Epoch(train) [183][1540/1879] lr: 1.0000e-04 eta: 10:53:14 time: 0.2880 data_time: 0.0213 memory: 8198 grad_norm: 6.8608 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8746 loss: 0.8746 2022/08/03 18:12:50 - mmengine - INFO - Epoch(train) [183][1560/1879] lr: 1.0000e-04 eta: 10:53:08 time: 0.2855 data_time: 0.0267 memory: 8198 grad_norm: 7.2390 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/08/03 18:12:56 - mmengine - INFO - Epoch(train) [183][1580/1879] lr: 1.0000e-04 eta: 10:53:02 time: 0.2857 data_time: 0.0186 memory: 8198 grad_norm: 6.7937 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9905 loss: 0.9905 2022/08/03 18:13:01 - mmengine - INFO - Epoch(train) [183][1600/1879] lr: 1.0000e-04 eta: 10:52:57 time: 0.2854 data_time: 0.0247 memory: 8198 grad_norm: 6.8814 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0648 loss: 1.0648 2022/08/03 18:13:07 - mmengine - INFO - Epoch(train) [183][1620/1879] lr: 1.0000e-04 eta: 10:52:51 time: 0.2844 data_time: 0.0181 memory: 8198 grad_norm: 6.9794 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9602 loss: 0.9602 2022/08/03 18:13:13 - mmengine - INFO - Epoch(train) [183][1640/1879] lr: 1.0000e-04 eta: 10:52:45 time: 0.2857 data_time: 0.0228 memory: 8198 grad_norm: 7.0961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8613 loss: 0.8613 2022/08/03 18:13:18 - mmengine - INFO - Epoch(train) [183][1660/1879] lr: 1.0000e-04 eta: 10:52:40 time: 0.2881 data_time: 0.0206 memory: 8198 grad_norm: 7.0756 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/03 18:13:24 - mmengine - INFO - Epoch(train) [183][1680/1879] lr: 1.0000e-04 eta: 10:52:34 time: 0.2900 data_time: 0.0212 memory: 8198 grad_norm: 7.3205 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/08/03 18:13:30 - mmengine - INFO - Epoch(train) [183][1700/1879] lr: 1.0000e-04 eta: 10:52:28 time: 0.2846 data_time: 0.0184 memory: 8198 grad_norm: 7.1662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9442 loss: 0.9442 2022/08/03 18:13:36 - mmengine - INFO - Epoch(train) [183][1720/1879] lr: 1.0000e-04 eta: 10:52:23 time: 0.2884 data_time: 0.0270 memory: 8198 grad_norm: 7.1692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1604 loss: 1.1604 2022/08/03 18:13:42 - mmengine - INFO - Epoch(train) [183][1740/1879] lr: 1.0000e-04 eta: 10:52:17 time: 0.2858 data_time: 0.0225 memory: 8198 grad_norm: 7.0172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8146 loss: 0.8146 2022/08/03 18:13:47 - mmengine - INFO - Epoch(train) [183][1760/1879] lr: 1.0000e-04 eta: 10:52:11 time: 0.2872 data_time: 0.0200 memory: 8198 grad_norm: 6.7824 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9012 loss: 0.9012 2022/08/03 18:13:53 - mmengine - INFO - Epoch(train) [183][1780/1879] lr: 1.0000e-04 eta: 10:52:06 time: 0.2874 data_time: 0.0218 memory: 8198 grad_norm: 7.2663 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0795 loss: 1.0795 2022/08/03 18:13:59 - mmengine - INFO - Epoch(train) [183][1800/1879] lr: 1.0000e-04 eta: 10:52:00 time: 0.2996 data_time: 0.0251 memory: 8198 grad_norm: 7.0588 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0433 loss: 1.0433 2022/08/03 18:14:05 - mmengine - INFO - Epoch(train) [183][1820/1879] lr: 1.0000e-04 eta: 10:51:54 time: 0.2855 data_time: 0.0206 memory: 8198 grad_norm: 7.1518 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0385 loss: 1.0385 2022/08/03 18:14:11 - mmengine - INFO - Epoch(train) [183][1840/1879] lr: 1.0000e-04 eta: 10:51:49 time: 0.2871 data_time: 0.0254 memory: 8198 grad_norm: 7.2899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0944 loss: 1.0944 2022/08/03 18:14:17 - mmengine - INFO - Epoch(train) [183][1860/1879] lr: 1.0000e-04 eta: 10:51:43 time: 0.3188 data_time: 0.0195 memory: 8198 grad_norm: 6.9198 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9469 loss: 0.9469 2022/08/03 18:14:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:14:22 - mmengine - INFO - Epoch(train) [183][1879/1879] lr: 1.0000e-04 eta: 10:51:43 time: 0.2601 data_time: 0.0195 memory: 8198 grad_norm: 7.1679 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.1838 loss: 1.1838 2022/08/03 18:14:31 - mmengine - INFO - Epoch(train) [184][20/1879] lr: 1.0000e-04 eta: 10:51:31 time: 0.4281 data_time: 0.1148 memory: 8198 grad_norm: 6.9435 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9032 loss: 0.9032 2022/08/03 18:14:37 - mmengine - INFO - Epoch(train) [184][40/1879] lr: 1.0000e-04 eta: 10:51:25 time: 0.2994 data_time: 0.0290 memory: 8198 grad_norm: 6.9486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/08/03 18:14:42 - mmengine - INFO - Epoch(train) [184][60/1879] lr: 1.0000e-04 eta: 10:51:20 time: 0.2865 data_time: 0.0236 memory: 8198 grad_norm: 6.9244 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9361 loss: 0.9361 2022/08/03 18:14:48 - mmengine - INFO - Epoch(train) [184][80/1879] lr: 1.0000e-04 eta: 10:51:14 time: 0.2865 data_time: 0.0286 memory: 8198 grad_norm: 7.0991 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8842 loss: 0.8842 2022/08/03 18:14:54 - mmengine - INFO - Epoch(train) [184][100/1879] lr: 1.0000e-04 eta: 10:51:08 time: 0.2891 data_time: 0.0222 memory: 8198 grad_norm: 7.0360 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8162 loss: 0.8162 2022/08/03 18:15:00 - mmengine - INFO - Epoch(train) [184][120/1879] lr: 1.0000e-04 eta: 10:51:03 time: 0.3030 data_time: 0.0210 memory: 8198 grad_norm: 7.0580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9583 loss: 0.9583 2022/08/03 18:15:06 - mmengine - INFO - Epoch(train) [184][140/1879] lr: 1.0000e-04 eta: 10:50:57 time: 0.2856 data_time: 0.0206 memory: 8198 grad_norm: 7.0670 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/08/03 18:15:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:15:11 - mmengine - INFO - Epoch(train) [184][160/1879] lr: 1.0000e-04 eta: 10:50:51 time: 0.2856 data_time: 0.0214 memory: 8198 grad_norm: 6.8044 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8749 loss: 0.8749 2022/08/03 18:15:17 - mmengine - INFO - Epoch(train) [184][180/1879] lr: 1.0000e-04 eta: 10:50:46 time: 0.2902 data_time: 0.0222 memory: 8198 grad_norm: 7.1571 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0074 loss: 1.0074 2022/08/03 18:15:23 - mmengine - INFO - Epoch(train) [184][200/1879] lr: 1.0000e-04 eta: 10:50:40 time: 0.2850 data_time: 0.0261 memory: 8198 grad_norm: 7.0550 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9824 loss: 0.9824 2022/08/03 18:15:29 - mmengine - INFO - Epoch(train) [184][220/1879] lr: 1.0000e-04 eta: 10:50:35 time: 0.2935 data_time: 0.0176 memory: 8198 grad_norm: 7.2900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/08/03 18:15:35 - mmengine - INFO - Epoch(train) [184][240/1879] lr: 1.0000e-04 eta: 10:50:29 time: 0.2936 data_time: 0.0261 memory: 8198 grad_norm: 6.9734 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9108 loss: 0.9108 2022/08/03 18:15:41 - mmengine - INFO - Epoch(train) [184][260/1879] lr: 1.0000e-04 eta: 10:50:23 time: 0.2880 data_time: 0.0256 memory: 8198 grad_norm: 7.1984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9531 loss: 0.9531 2022/08/03 18:15:46 - mmengine - INFO - Epoch(train) [184][280/1879] lr: 1.0000e-04 eta: 10:50:18 time: 0.2883 data_time: 0.0246 memory: 8198 grad_norm: 7.0952 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1137 loss: 1.1137 2022/08/03 18:15:52 - mmengine - INFO - Epoch(train) [184][300/1879] lr: 1.0000e-04 eta: 10:50:12 time: 0.2842 data_time: 0.0177 memory: 8198 grad_norm: 7.0300 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0922 loss: 1.0922 2022/08/03 18:15:58 - mmengine - INFO - Epoch(train) [184][320/1879] lr: 1.0000e-04 eta: 10:50:06 time: 0.2875 data_time: 0.0208 memory: 8198 grad_norm: 6.9495 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0168 loss: 1.0168 2022/08/03 18:16:04 - mmengine - INFO - Epoch(train) [184][340/1879] lr: 1.0000e-04 eta: 10:50:00 time: 0.2828 data_time: 0.0192 memory: 8198 grad_norm: 6.7707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/08/03 18:16:10 - mmengine - INFO - Epoch(train) [184][360/1879] lr: 1.0000e-04 eta: 10:49:55 time: 0.2959 data_time: 0.0261 memory: 8198 grad_norm: 6.8279 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9095 loss: 0.9095 2022/08/03 18:16:15 - mmengine - INFO - Epoch(train) [184][380/1879] lr: 1.0000e-04 eta: 10:49:49 time: 0.2874 data_time: 0.0210 memory: 8198 grad_norm: 7.0932 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8845 loss: 0.8845 2022/08/03 18:16:21 - mmengine - INFO - Epoch(train) [184][400/1879] lr: 1.0000e-04 eta: 10:49:43 time: 0.2851 data_time: 0.0196 memory: 8198 grad_norm: 6.7824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/03 18:16:27 - mmengine - INFO - Epoch(train) [184][420/1879] lr: 1.0000e-04 eta: 10:49:38 time: 0.2889 data_time: 0.0172 memory: 8198 grad_norm: 6.8075 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0521 loss: 1.0521 2022/08/03 18:16:33 - mmengine - INFO - Epoch(train) [184][440/1879] lr: 1.0000e-04 eta: 10:49:32 time: 0.2877 data_time: 0.0241 memory: 8198 grad_norm: 7.2396 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9402 loss: 0.9402 2022/08/03 18:16:38 - mmengine - INFO - Epoch(train) [184][460/1879] lr: 1.0000e-04 eta: 10:49:26 time: 0.2911 data_time: 0.0196 memory: 8198 grad_norm: 6.8851 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0281 loss: 1.0281 2022/08/03 18:16:45 - mmengine - INFO - Epoch(train) [184][480/1879] lr: 1.0000e-04 eta: 10:49:21 time: 0.3066 data_time: 0.0295 memory: 8198 grad_norm: 6.9648 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9806 loss: 0.9806 2022/08/03 18:16:50 - mmengine - INFO - Epoch(train) [184][500/1879] lr: 1.0000e-04 eta: 10:49:15 time: 0.2796 data_time: 0.0184 memory: 8198 grad_norm: 7.1340 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8771 loss: 0.8771 2022/08/03 18:16:56 - mmengine - INFO - Epoch(train) [184][520/1879] lr: 1.0000e-04 eta: 10:49:10 time: 0.2937 data_time: 0.0275 memory: 8198 grad_norm: 7.0343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9210 loss: 0.9210 2022/08/03 18:17:02 - mmengine - INFO - Epoch(train) [184][540/1879] lr: 1.0000e-04 eta: 10:49:04 time: 0.2854 data_time: 0.0256 memory: 8198 grad_norm: 7.1253 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9804 loss: 0.9804 2022/08/03 18:17:08 - mmengine - INFO - Epoch(train) [184][560/1879] lr: 1.0000e-04 eta: 10:48:58 time: 0.2954 data_time: 0.0185 memory: 8198 grad_norm: 7.1537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9639 loss: 0.9639 2022/08/03 18:17:14 - mmengine - INFO - Epoch(train) [184][580/1879] lr: 1.0000e-04 eta: 10:48:53 time: 0.2868 data_time: 0.0235 memory: 8198 grad_norm: 7.2500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1418 loss: 1.1418 2022/08/03 18:17:19 - mmengine - INFO - Epoch(train) [184][600/1879] lr: 1.0000e-04 eta: 10:48:47 time: 0.2904 data_time: 0.0264 memory: 8198 grad_norm: 7.3727 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0328 loss: 1.0328 2022/08/03 18:17:25 - mmengine - INFO - Epoch(train) [184][620/1879] lr: 1.0000e-04 eta: 10:48:41 time: 0.2864 data_time: 0.0209 memory: 8198 grad_norm: 6.9200 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8646 loss: 0.8646 2022/08/03 18:17:31 - mmengine - INFO - Epoch(train) [184][640/1879] lr: 1.0000e-04 eta: 10:48:35 time: 0.2847 data_time: 0.0201 memory: 8198 grad_norm: 6.9072 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/08/03 18:17:37 - mmengine - INFO - Epoch(train) [184][660/1879] lr: 1.0000e-04 eta: 10:48:30 time: 0.2872 data_time: 0.0222 memory: 8198 grad_norm: 6.9427 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/08/03 18:17:42 - mmengine - INFO - Epoch(train) [184][680/1879] lr: 1.0000e-04 eta: 10:48:24 time: 0.2875 data_time: 0.0245 memory: 8198 grad_norm: 7.3486 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/08/03 18:17:48 - mmengine - INFO - Epoch(train) [184][700/1879] lr: 1.0000e-04 eta: 10:48:18 time: 0.2838 data_time: 0.0189 memory: 8198 grad_norm: 6.8579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/08/03 18:17:54 - mmengine - INFO - Epoch(train) [184][720/1879] lr: 1.0000e-04 eta: 10:48:13 time: 0.2864 data_time: 0.0253 memory: 8198 grad_norm: 6.8847 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9062 loss: 0.9062 2022/08/03 18:18:00 - mmengine - INFO - Epoch(train) [184][740/1879] lr: 1.0000e-04 eta: 10:48:07 time: 0.3024 data_time: 0.0184 memory: 8198 grad_norm: 7.2013 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0877 loss: 1.0877 2022/08/03 18:18:06 - mmengine - INFO - Epoch(train) [184][760/1879] lr: 1.0000e-04 eta: 10:48:01 time: 0.2855 data_time: 0.0259 memory: 8198 grad_norm: 7.1664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9873 loss: 0.9873 2022/08/03 18:18:11 - mmengine - INFO - Epoch(train) [184][780/1879] lr: 1.0000e-04 eta: 10:47:56 time: 0.2811 data_time: 0.0203 memory: 8198 grad_norm: 6.9950 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8244 loss: 0.8244 2022/08/03 18:18:17 - mmengine - INFO - Epoch(train) [184][800/1879] lr: 1.0000e-04 eta: 10:47:50 time: 0.2884 data_time: 0.0234 memory: 8198 grad_norm: 7.1366 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9974 loss: 0.9974 2022/08/03 18:18:23 - mmengine - INFO - Epoch(train) [184][820/1879] lr: 1.0000e-04 eta: 10:47:44 time: 0.2837 data_time: 0.0257 memory: 8198 grad_norm: 7.1687 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9921 loss: 0.9921 2022/08/03 18:18:29 - mmengine - INFO - Epoch(train) [184][840/1879] lr: 1.0000e-04 eta: 10:47:39 time: 0.3203 data_time: 0.0209 memory: 8198 grad_norm: 6.9728 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9244 loss: 0.9244 2022/08/03 18:18:35 - mmengine - INFO - Epoch(train) [184][860/1879] lr: 1.0000e-04 eta: 10:47:33 time: 0.2834 data_time: 0.0220 memory: 8198 grad_norm: 6.9662 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9475 loss: 0.9475 2022/08/03 18:18:41 - mmengine - INFO - Epoch(train) [184][880/1879] lr: 1.0000e-04 eta: 10:47:27 time: 0.2846 data_time: 0.0208 memory: 8198 grad_norm: 7.0903 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0669 loss: 1.0669 2022/08/03 18:18:46 - mmengine - INFO - Epoch(train) [184][900/1879] lr: 1.0000e-04 eta: 10:47:22 time: 0.2860 data_time: 0.0228 memory: 8198 grad_norm: 6.7522 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9144 loss: 0.9144 2022/08/03 18:18:52 - mmengine - INFO - Epoch(train) [184][920/1879] lr: 1.0000e-04 eta: 10:47:16 time: 0.2858 data_time: 0.0219 memory: 8198 grad_norm: 7.2301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/08/03 18:18:59 - mmengine - INFO - Epoch(train) [184][940/1879] lr: 1.0000e-04 eta: 10:47:11 time: 0.3308 data_time: 0.0170 memory: 8198 grad_norm: 7.0876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9864 loss: 0.9864 2022/08/03 18:19:05 - mmengine - INFO - Epoch(train) [184][960/1879] lr: 1.0000e-04 eta: 10:47:05 time: 0.2889 data_time: 0.0207 memory: 8198 grad_norm: 7.0582 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0781 loss: 1.0781 2022/08/03 18:19:10 - mmengine - INFO - Epoch(train) [184][980/1879] lr: 1.0000e-04 eta: 10:46:59 time: 0.2838 data_time: 0.0229 memory: 8198 grad_norm: 7.0024 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9080 loss: 0.9080 2022/08/03 18:19:16 - mmengine - INFO - Epoch(train) [184][1000/1879] lr: 1.0000e-04 eta: 10:46:54 time: 0.2886 data_time: 0.0254 memory: 8198 grad_norm: 7.2242 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1124 loss: 1.1124 2022/08/03 18:19:22 - mmengine - INFO - Epoch(train) [184][1020/1879] lr: 1.0000e-04 eta: 10:46:48 time: 0.2877 data_time: 0.0261 memory: 8198 grad_norm: 7.0852 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9971 loss: 0.9971 2022/08/03 18:19:28 - mmengine - INFO - Epoch(train) [184][1040/1879] lr: 1.0000e-04 eta: 10:46:42 time: 0.2933 data_time: 0.0224 memory: 8198 grad_norm: 7.1476 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0104 loss: 1.0104 2022/08/03 18:19:34 - mmengine - INFO - Epoch(train) [184][1060/1879] lr: 1.0000e-04 eta: 10:46:37 time: 0.2859 data_time: 0.0202 memory: 8198 grad_norm: 6.9594 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9500 loss: 0.9500 2022/08/03 18:19:39 - mmengine - INFO - Epoch(train) [184][1080/1879] lr: 1.0000e-04 eta: 10:46:31 time: 0.2860 data_time: 0.0213 memory: 8198 grad_norm: 6.8374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9925 loss: 0.9925 2022/08/03 18:19:45 - mmengine - INFO - Epoch(train) [184][1100/1879] lr: 1.0000e-04 eta: 10:46:25 time: 0.2888 data_time: 0.0225 memory: 8198 grad_norm: 7.1448 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0007 loss: 1.0007 2022/08/03 18:19:51 - mmengine - INFO - Epoch(train) [184][1120/1879] lr: 1.0000e-04 eta: 10:46:20 time: 0.2851 data_time: 0.0236 memory: 8198 grad_norm: 7.2462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9836 loss: 0.9836 2022/08/03 18:19:57 - mmengine - INFO - Epoch(train) [184][1140/1879] lr: 1.0000e-04 eta: 10:46:14 time: 0.2906 data_time: 0.0241 memory: 8198 grad_norm: 7.1830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9104 loss: 0.9104 2022/08/03 18:19:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:20:02 - mmengine - INFO - Epoch(train) [184][1160/1879] lr: 1.0000e-04 eta: 10:46:08 time: 0.2833 data_time: 0.0255 memory: 8198 grad_norm: 7.2374 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0019 loss: 1.0019 2022/08/03 18:20:08 - mmengine - INFO - Epoch(train) [184][1180/1879] lr: 1.0000e-04 eta: 10:46:03 time: 0.2909 data_time: 0.0192 memory: 8198 grad_norm: 7.0548 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0254 loss: 1.0254 2022/08/03 18:20:14 - mmengine - INFO - Epoch(train) [184][1200/1879] lr: 1.0000e-04 eta: 10:45:57 time: 0.2841 data_time: 0.0231 memory: 8198 grad_norm: 7.1110 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/03 18:20:20 - mmengine - INFO - Epoch(train) [184][1220/1879] lr: 1.0000e-04 eta: 10:45:51 time: 0.2897 data_time: 0.0218 memory: 8198 grad_norm: 7.1038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8785 loss: 0.8785 2022/08/03 18:20:26 - mmengine - INFO - Epoch(train) [184][1240/1879] lr: 1.0000e-04 eta: 10:45:46 time: 0.2891 data_time: 0.0221 memory: 8198 grad_norm: 7.2925 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/08/03 18:20:31 - mmengine - INFO - Epoch(train) [184][1260/1879] lr: 1.0000e-04 eta: 10:45:40 time: 0.2833 data_time: 0.0209 memory: 8198 grad_norm: 7.1070 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8486 loss: 0.8486 2022/08/03 18:20:37 - mmengine - INFO - Epoch(train) [184][1280/1879] lr: 1.0000e-04 eta: 10:45:34 time: 0.2892 data_time: 0.0226 memory: 8198 grad_norm: 7.0861 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0441 loss: 1.0441 2022/08/03 18:20:43 - mmengine - INFO - Epoch(train) [184][1300/1879] lr: 1.0000e-04 eta: 10:45:28 time: 0.2830 data_time: 0.0275 memory: 8198 grad_norm: 7.0185 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8521 loss: 0.8521 2022/08/03 18:20:49 - mmengine - INFO - Epoch(train) [184][1320/1879] lr: 1.0000e-04 eta: 10:45:23 time: 0.2943 data_time: 0.0231 memory: 8198 grad_norm: 7.0189 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9445 loss: 0.9445 2022/08/03 18:20:54 - mmengine - INFO - Epoch(train) [184][1340/1879] lr: 1.0000e-04 eta: 10:45:17 time: 0.2835 data_time: 0.0225 memory: 8198 grad_norm: 6.9472 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8813 loss: 0.8813 2022/08/03 18:21:00 - mmengine - INFO - Epoch(train) [184][1360/1879] lr: 1.0000e-04 eta: 10:45:11 time: 0.2876 data_time: 0.0240 memory: 8198 grad_norm: 6.8997 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/03 18:21:06 - mmengine - INFO - Epoch(train) [184][1380/1879] lr: 1.0000e-04 eta: 10:45:06 time: 0.2877 data_time: 0.0231 memory: 8198 grad_norm: 7.0341 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0859 loss: 1.0859 2022/08/03 18:21:12 - mmengine - INFO - Epoch(train) [184][1400/1879] lr: 1.0000e-04 eta: 10:45:00 time: 0.2859 data_time: 0.0252 memory: 8198 grad_norm: 7.0110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0514 loss: 1.0514 2022/08/03 18:21:18 - mmengine - INFO - Epoch(train) [184][1420/1879] lr: 1.0000e-04 eta: 10:44:54 time: 0.2966 data_time: 0.0174 memory: 8198 grad_norm: 7.1889 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0337 loss: 1.0337 2022/08/03 18:21:23 - mmengine - INFO - Epoch(train) [184][1440/1879] lr: 1.0000e-04 eta: 10:44:49 time: 0.2840 data_time: 0.0212 memory: 8198 grad_norm: 6.9719 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8949 loss: 0.8949 2022/08/03 18:21:29 - mmengine - INFO - Epoch(train) [184][1460/1879] lr: 1.0000e-04 eta: 10:44:43 time: 0.2858 data_time: 0.0215 memory: 8198 grad_norm: 7.1145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/08/03 18:21:35 - mmengine - INFO - Epoch(train) [184][1480/1879] lr: 1.0000e-04 eta: 10:44:37 time: 0.3018 data_time: 0.0236 memory: 8198 grad_norm: 7.1441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9817 loss: 0.9817 2022/08/03 18:21:41 - mmengine - INFO - Epoch(train) [184][1500/1879] lr: 1.0000e-04 eta: 10:44:32 time: 0.2816 data_time: 0.0210 memory: 8198 grad_norm: 6.9903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/03 18:21:46 - mmengine - INFO - Epoch(train) [184][1520/1879] lr: 1.0000e-04 eta: 10:44:26 time: 0.2847 data_time: 0.0253 memory: 8198 grad_norm: 6.8371 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9939 loss: 0.9939 2022/08/03 18:21:52 - mmengine - INFO - Epoch(train) [184][1540/1879] lr: 1.0000e-04 eta: 10:44:20 time: 0.2849 data_time: 0.0183 memory: 8198 grad_norm: 7.0682 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9220 loss: 0.9220 2022/08/03 18:21:58 - mmengine - INFO - Epoch(train) [184][1560/1879] lr: 1.0000e-04 eta: 10:44:15 time: 0.3034 data_time: 0.0187 memory: 8198 grad_norm: 7.3204 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9098 loss: 0.9098 2022/08/03 18:22:04 - mmengine - INFO - Epoch(train) [184][1580/1879] lr: 1.0000e-04 eta: 10:44:09 time: 0.2833 data_time: 0.0202 memory: 8198 grad_norm: 7.0432 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9016 loss: 0.9016 2022/08/03 18:22:10 - mmengine - INFO - Epoch(train) [184][1600/1879] lr: 1.0000e-04 eta: 10:44:03 time: 0.2930 data_time: 0.0229 memory: 8198 grad_norm: 6.9370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9317 loss: 0.9317 2022/08/03 18:22:16 - mmengine - INFO - Epoch(train) [184][1620/1879] lr: 1.0000e-04 eta: 10:43:58 time: 0.2890 data_time: 0.0243 memory: 8198 grad_norm: 6.9423 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8611 loss: 0.8611 2022/08/03 18:22:21 - mmengine - INFO - Epoch(train) [184][1640/1879] lr: 1.0000e-04 eta: 10:43:52 time: 0.2814 data_time: 0.0204 memory: 8198 grad_norm: 7.0223 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9370 loss: 0.9370 2022/08/03 18:22:27 - mmengine - INFO - Epoch(train) [184][1660/1879] lr: 1.0000e-04 eta: 10:43:46 time: 0.2856 data_time: 0.0242 memory: 8198 grad_norm: 6.9891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9867 loss: 0.9867 2022/08/03 18:22:33 - mmengine - INFO - Epoch(train) [184][1680/1879] lr: 1.0000e-04 eta: 10:43:41 time: 0.2851 data_time: 0.0262 memory: 8198 grad_norm: 6.9724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8175 loss: 0.8175 2022/08/03 18:22:39 - mmengine - INFO - Epoch(train) [184][1700/1879] lr: 1.0000e-04 eta: 10:43:35 time: 0.2890 data_time: 0.0265 memory: 8198 grad_norm: 6.9443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8860 loss: 0.8860 2022/08/03 18:22:44 - mmengine - INFO - Epoch(train) [184][1720/1879] lr: 1.0000e-04 eta: 10:43:29 time: 0.2886 data_time: 0.0265 memory: 8198 grad_norm: 7.0518 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9996 loss: 0.9996 2022/08/03 18:22:50 - mmengine - INFO - Epoch(train) [184][1740/1879] lr: 1.0000e-04 eta: 10:43:24 time: 0.2912 data_time: 0.0254 memory: 8198 grad_norm: 7.1124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/03 18:22:56 - mmengine - INFO - Epoch(train) [184][1760/1879] lr: 1.0000e-04 eta: 10:43:18 time: 0.3049 data_time: 0.0229 memory: 8198 grad_norm: 7.0375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/08/03 18:23:02 - mmengine - INFO - Epoch(train) [184][1780/1879] lr: 1.0000e-04 eta: 10:43:12 time: 0.2836 data_time: 0.0188 memory: 8198 grad_norm: 7.1498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/08/03 18:23:08 - mmengine - INFO - Epoch(train) [184][1800/1879] lr: 1.0000e-04 eta: 10:43:07 time: 0.2939 data_time: 0.0232 memory: 8198 grad_norm: 7.2104 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9741 loss: 0.9741 2022/08/03 18:23:14 - mmengine - INFO - Epoch(train) [184][1820/1879] lr: 1.0000e-04 eta: 10:43:01 time: 0.2845 data_time: 0.0270 memory: 8198 grad_norm: 6.9979 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8234 loss: 0.8234 2022/08/03 18:23:19 - mmengine - INFO - Epoch(train) [184][1840/1879] lr: 1.0000e-04 eta: 10:42:55 time: 0.2880 data_time: 0.0234 memory: 8198 grad_norm: 7.2275 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0944 loss: 1.0944 2022/08/03 18:23:25 - mmengine - INFO - Epoch(train) [184][1860/1879] lr: 1.0000e-04 eta: 10:42:50 time: 0.2926 data_time: 0.0304 memory: 8198 grad_norm: 7.1499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8706 loss: 0.8706 2022/08/03 18:23:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:23:30 - mmengine - INFO - Epoch(train) [184][1879/1879] lr: 1.0000e-04 eta: 10:42:50 time: 0.2565 data_time: 0.0158 memory: 8198 grad_norm: 7.3115 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0092 loss: 1.0092 2022/08/03 18:23:30 - mmengine - INFO - Saving checkpoint at 184 epochs 2022/08/03 18:23:40 - mmengine - INFO - Epoch(train) [185][20/1879] lr: 1.0000e-04 eta: 10:42:37 time: 0.3684 data_time: 0.1155 memory: 8198 grad_norm: 6.9263 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/03 18:23:47 - mmengine - INFO - Epoch(train) [185][40/1879] lr: 1.0000e-04 eta: 10:42:32 time: 0.3049 data_time: 0.0231 memory: 8198 grad_norm: 7.0930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/08/03 18:23:52 - mmengine - INFO - Epoch(train) [185][60/1879] lr: 1.0000e-04 eta: 10:42:26 time: 0.2855 data_time: 0.0206 memory: 8198 grad_norm: 7.1967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9091 loss: 0.9091 2022/08/03 18:23:58 - mmengine - INFO - Epoch(train) [185][80/1879] lr: 1.0000e-04 eta: 10:42:20 time: 0.2936 data_time: 0.0295 memory: 8198 grad_norm: 6.8908 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9490 loss: 0.9490 2022/08/03 18:24:04 - mmengine - INFO - Epoch(train) [185][100/1879] lr: 1.0000e-04 eta: 10:42:15 time: 0.2852 data_time: 0.0253 memory: 8198 grad_norm: 6.8876 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8782 loss: 0.8782 2022/08/03 18:24:10 - mmengine - INFO - Epoch(train) [185][120/1879] lr: 1.0000e-04 eta: 10:42:09 time: 0.3013 data_time: 0.0386 memory: 8198 grad_norm: 6.9910 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8478 loss: 0.8478 2022/08/03 18:24:16 - mmengine - INFO - Epoch(train) [185][140/1879] lr: 1.0000e-04 eta: 10:42:03 time: 0.2843 data_time: 0.0202 memory: 8198 grad_norm: 7.0591 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8926 loss: 0.8926 2022/08/03 18:24:21 - mmengine - INFO - Epoch(train) [185][160/1879] lr: 1.0000e-04 eta: 10:41:58 time: 0.2858 data_time: 0.0203 memory: 8198 grad_norm: 7.1813 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0032 loss: 1.0032 2022/08/03 18:24:28 - mmengine - INFO - Epoch(train) [185][180/1879] lr: 1.0000e-04 eta: 10:41:52 time: 0.3025 data_time: 0.0198 memory: 8198 grad_norm: 7.0722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0061 loss: 1.0061 2022/08/03 18:24:33 - mmengine - INFO - Epoch(train) [185][200/1879] lr: 1.0000e-04 eta: 10:41:46 time: 0.2863 data_time: 0.0210 memory: 8198 grad_norm: 7.1972 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8166 loss: 0.8166 2022/08/03 18:24:39 - mmengine - INFO - Epoch(train) [185][220/1879] lr: 1.0000e-04 eta: 10:41:41 time: 0.2883 data_time: 0.0265 memory: 8198 grad_norm: 7.1627 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1996 loss: 1.1996 2022/08/03 18:24:45 - mmengine - INFO - Epoch(train) [185][240/1879] lr: 1.0000e-04 eta: 10:41:35 time: 0.2900 data_time: 0.0212 memory: 8198 grad_norm: 7.0044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0416 loss: 1.0416 2022/08/03 18:24:51 - mmengine - INFO - Epoch(train) [185][260/1879] lr: 1.0000e-04 eta: 10:41:29 time: 0.2922 data_time: 0.0214 memory: 8198 grad_norm: 6.8778 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/03 18:24:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:24:57 - mmengine - INFO - Epoch(train) [185][280/1879] lr: 1.0000e-04 eta: 10:41:24 time: 0.2903 data_time: 0.0247 memory: 8198 grad_norm: 6.9878 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0881 loss: 1.0881 2022/08/03 18:25:02 - mmengine - INFO - Epoch(train) [185][300/1879] lr: 1.0000e-04 eta: 10:41:18 time: 0.2852 data_time: 0.0225 memory: 8198 grad_norm: 7.1856 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0480 loss: 1.0480 2022/08/03 18:25:08 - mmengine - INFO - Epoch(train) [185][320/1879] lr: 1.0000e-04 eta: 10:41:12 time: 0.2987 data_time: 0.0251 memory: 8198 grad_norm: 6.8878 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9116 loss: 0.9116 2022/08/03 18:25:14 - mmengine - INFO - Epoch(train) [185][340/1879] lr: 1.0000e-04 eta: 10:41:07 time: 0.2828 data_time: 0.0189 memory: 8198 grad_norm: 6.9899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8254 loss: 0.8254 2022/08/03 18:25:20 - mmengine - INFO - Epoch(train) [185][360/1879] lr: 1.0000e-04 eta: 10:41:01 time: 0.2897 data_time: 0.0243 memory: 8198 grad_norm: 7.0854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9818 loss: 0.9818 2022/08/03 18:25:26 - mmengine - INFO - Epoch(train) [185][380/1879] lr: 1.0000e-04 eta: 10:40:55 time: 0.2844 data_time: 0.0206 memory: 8198 grad_norm: 7.0407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9126 loss: 0.9126 2022/08/03 18:25:31 - mmengine - INFO - Epoch(train) [185][400/1879] lr: 1.0000e-04 eta: 10:40:50 time: 0.2854 data_time: 0.0246 memory: 8198 grad_norm: 7.0546 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8966 loss: 0.8966 2022/08/03 18:25:37 - mmengine - INFO - Epoch(train) [185][420/1879] lr: 1.0000e-04 eta: 10:40:44 time: 0.2882 data_time: 0.0175 memory: 8198 grad_norm: 6.9784 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9394 loss: 0.9394 2022/08/03 18:25:43 - mmengine - INFO - Epoch(train) [185][440/1879] lr: 1.0000e-04 eta: 10:40:38 time: 0.2846 data_time: 0.0223 memory: 8198 grad_norm: 6.9455 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9217 loss: 0.9217 2022/08/03 18:25:48 - mmengine - INFO - Epoch(train) [185][460/1879] lr: 1.0000e-04 eta: 10:40:33 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 7.2259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0185 loss: 1.0185 2022/08/03 18:25:54 - mmengine - INFO - Epoch(train) [185][480/1879] lr: 1.0000e-04 eta: 10:40:27 time: 0.2848 data_time: 0.0224 memory: 8198 grad_norm: 7.1021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0796 loss: 1.0796 2022/08/03 18:26:00 - mmengine - INFO - Epoch(train) [185][500/1879] lr: 1.0000e-04 eta: 10:40:21 time: 0.2907 data_time: 0.0218 memory: 8198 grad_norm: 6.9416 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/08/03 18:26:06 - mmengine - INFO - Epoch(train) [185][520/1879] lr: 1.0000e-04 eta: 10:40:15 time: 0.2886 data_time: 0.0246 memory: 8198 grad_norm: 7.1820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/03 18:26:12 - mmengine - INFO - Epoch(train) [185][540/1879] lr: 1.0000e-04 eta: 10:40:10 time: 0.2833 data_time: 0.0230 memory: 8198 grad_norm: 7.0495 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9766 loss: 0.9766 2022/08/03 18:26:17 - mmengine - INFO - Epoch(train) [185][560/1879] lr: 1.0000e-04 eta: 10:40:04 time: 0.2845 data_time: 0.0247 memory: 8198 grad_norm: 6.9256 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9417 loss: 0.9417 2022/08/03 18:26:23 - mmengine - INFO - Epoch(train) [185][580/1879] lr: 1.0000e-04 eta: 10:39:58 time: 0.2904 data_time: 0.0203 memory: 8198 grad_norm: 7.1361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0042 loss: 1.0042 2022/08/03 18:26:29 - mmengine - INFO - Epoch(train) [185][600/1879] lr: 1.0000e-04 eta: 10:39:53 time: 0.2862 data_time: 0.0218 memory: 8198 grad_norm: 7.0079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9325 loss: 0.9325 2022/08/03 18:26:35 - mmengine - INFO - Epoch(train) [185][620/1879] lr: 1.0000e-04 eta: 10:39:47 time: 0.2887 data_time: 0.0227 memory: 8198 grad_norm: 7.2754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/08/03 18:26:40 - mmengine - INFO - Epoch(train) [185][640/1879] lr: 1.0000e-04 eta: 10:39:41 time: 0.2910 data_time: 0.0184 memory: 8198 grad_norm: 7.0405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1205 loss: 1.1205 2022/08/03 18:26:47 - mmengine - INFO - Epoch(train) [185][660/1879] lr: 1.0000e-04 eta: 10:39:36 time: 0.3053 data_time: 0.0229 memory: 8198 grad_norm: 7.0711 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9206 loss: 0.9206 2022/08/03 18:26:52 - mmengine - INFO - Epoch(train) [185][680/1879] lr: 1.0000e-04 eta: 10:39:30 time: 0.2821 data_time: 0.0173 memory: 8198 grad_norm: 7.1760 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8146 loss: 0.8146 2022/08/03 18:26:58 - mmengine - INFO - Epoch(train) [185][700/1879] lr: 1.0000e-04 eta: 10:39:24 time: 0.2844 data_time: 0.0231 memory: 8198 grad_norm: 7.3683 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0403 loss: 1.0403 2022/08/03 18:27:04 - mmengine - INFO - Epoch(train) [185][720/1879] lr: 1.0000e-04 eta: 10:39:19 time: 0.2872 data_time: 0.0238 memory: 8198 grad_norm: 7.3043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1037 loss: 1.1037 2022/08/03 18:27:10 - mmengine - INFO - Epoch(train) [185][740/1879] lr: 1.0000e-04 eta: 10:39:13 time: 0.2916 data_time: 0.0267 memory: 8198 grad_norm: 7.2210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/08/03 18:27:15 - mmengine - INFO - Epoch(train) [185][760/1879] lr: 1.0000e-04 eta: 10:39:07 time: 0.2882 data_time: 0.0209 memory: 8198 grad_norm: 6.9120 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/03 18:27:21 - mmengine - INFO - Epoch(train) [185][780/1879] lr: 1.0000e-04 eta: 10:39:02 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 7.2123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9380 loss: 0.9380 2022/08/03 18:27:27 - mmengine - INFO - Epoch(train) [185][800/1879] lr: 1.0000e-04 eta: 10:38:56 time: 0.2870 data_time: 0.0238 memory: 8198 grad_norm: 6.8328 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/03 18:27:33 - mmengine - INFO - Epoch(train) [185][820/1879] lr: 1.0000e-04 eta: 10:38:50 time: 0.2872 data_time: 0.0242 memory: 8198 grad_norm: 7.0083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8998 loss: 0.8998 2022/08/03 18:27:38 - mmengine - INFO - Epoch(train) [185][840/1879] lr: 1.0000e-04 eta: 10:38:45 time: 0.2852 data_time: 0.0208 memory: 8198 grad_norm: 7.0021 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/03 18:27:44 - mmengine - INFO - Epoch(train) [185][860/1879] lr: 1.0000e-04 eta: 10:38:39 time: 0.2860 data_time: 0.0225 memory: 8198 grad_norm: 7.0433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9166 loss: 0.9166 2022/08/03 18:27:50 - mmengine - INFO - Epoch(train) [185][880/1879] lr: 1.0000e-04 eta: 10:38:33 time: 0.2972 data_time: 0.0240 memory: 8198 grad_norm: 6.9828 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1150 loss: 1.1150 2022/08/03 18:27:56 - mmengine - INFO - Epoch(train) [185][900/1879] lr: 1.0000e-04 eta: 10:38:28 time: 0.2839 data_time: 0.0254 memory: 8198 grad_norm: 7.0435 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/08/03 18:28:02 - mmengine - INFO - Epoch(train) [185][920/1879] lr: 1.0000e-04 eta: 10:38:22 time: 0.2852 data_time: 0.0205 memory: 8198 grad_norm: 7.0074 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0590 loss: 1.0590 2022/08/03 18:28:07 - mmengine - INFO - Epoch(train) [185][940/1879] lr: 1.0000e-04 eta: 10:38:16 time: 0.2906 data_time: 0.0219 memory: 8198 grad_norm: 7.1114 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9076 loss: 0.9076 2022/08/03 18:28:13 - mmengine - INFO - Epoch(train) [185][960/1879] lr: 1.0000e-04 eta: 10:38:11 time: 0.2829 data_time: 0.0231 memory: 8198 grad_norm: 7.0274 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9208 loss: 0.9208 2022/08/03 18:28:19 - mmengine - INFO - Epoch(train) [185][980/1879] lr: 1.0000e-04 eta: 10:38:05 time: 0.2860 data_time: 0.0196 memory: 8198 grad_norm: 7.1275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9850 loss: 0.9850 2022/08/03 18:28:25 - mmengine - INFO - Epoch(train) [185][1000/1879] lr: 1.0000e-04 eta: 10:37:59 time: 0.2850 data_time: 0.0199 memory: 8198 grad_norm: 7.1823 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0736 loss: 1.0736 2022/08/03 18:28:31 - mmengine - INFO - Epoch(train) [185][1020/1879] lr: 1.0000e-04 eta: 10:37:54 time: 0.3047 data_time: 0.0219 memory: 8198 grad_norm: 7.2203 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9431 loss: 0.9431 2022/08/03 18:28:36 - mmengine - INFO - Epoch(train) [185][1040/1879] lr: 1.0000e-04 eta: 10:37:48 time: 0.2813 data_time: 0.0207 memory: 8198 grad_norm: 6.9840 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/03 18:28:42 - mmengine - INFO - Epoch(train) [185][1060/1879] lr: 1.0000e-04 eta: 10:37:42 time: 0.2907 data_time: 0.0280 memory: 8198 grad_norm: 7.0584 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9989 loss: 0.9989 2022/08/03 18:28:48 - mmengine - INFO - Epoch(train) [185][1080/1879] lr: 1.0000e-04 eta: 10:37:37 time: 0.2884 data_time: 0.0223 memory: 8198 grad_norm: 7.0278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0786 loss: 1.0786 2022/08/03 18:28:54 - mmengine - INFO - Epoch(train) [185][1100/1879] lr: 1.0000e-04 eta: 10:37:31 time: 0.2852 data_time: 0.0217 memory: 8198 grad_norm: 6.8823 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/08/03 18:28:59 - mmengine - INFO - Epoch(train) [185][1120/1879] lr: 1.0000e-04 eta: 10:37:25 time: 0.2857 data_time: 0.0261 memory: 8198 grad_norm: 7.1329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1060 loss: 1.1060 2022/08/03 18:29:05 - mmengine - INFO - Epoch(train) [185][1140/1879] lr: 1.0000e-04 eta: 10:37:19 time: 0.2822 data_time: 0.0176 memory: 8198 grad_norm: 7.0490 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/03 18:29:11 - mmengine - INFO - Epoch(train) [185][1160/1879] lr: 1.0000e-04 eta: 10:37:14 time: 0.2878 data_time: 0.0231 memory: 8198 grad_norm: 6.9223 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0235 loss: 1.0235 2022/08/03 18:29:17 - mmengine - INFO - Epoch(train) [185][1180/1879] lr: 1.0000e-04 eta: 10:37:08 time: 0.2895 data_time: 0.0271 memory: 8198 grad_norm: 6.9377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8641 loss: 0.8641 2022/08/03 18:29:22 - mmengine - INFO - Epoch(train) [185][1200/1879] lr: 1.0000e-04 eta: 10:37:02 time: 0.2847 data_time: 0.0218 memory: 8198 grad_norm: 6.9059 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9309 loss: 0.9309 2022/08/03 18:29:28 - mmengine - INFO - Epoch(train) [185][1220/1879] lr: 1.0000e-04 eta: 10:36:57 time: 0.2991 data_time: 0.0177 memory: 8198 grad_norm: 7.2907 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8973 loss: 0.8973 2022/08/03 18:29:34 - mmengine - INFO - Epoch(train) [185][1240/1879] lr: 1.0000e-04 eta: 10:36:51 time: 0.2833 data_time: 0.0228 memory: 8198 grad_norm: 7.0098 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9335 loss: 0.9335 2022/08/03 18:29:40 - mmengine - INFO - Epoch(train) [185][1260/1879] lr: 1.0000e-04 eta: 10:36:45 time: 0.2894 data_time: 0.0245 memory: 8198 grad_norm: 7.0511 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9509 loss: 0.9509 2022/08/03 18:29:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:29:46 - mmengine - INFO - Epoch(train) [185][1280/1879] lr: 1.0000e-04 eta: 10:36:40 time: 0.2871 data_time: 0.0252 memory: 8198 grad_norm: 7.2651 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9397 loss: 0.9397 2022/08/03 18:29:51 - mmengine - INFO - Epoch(train) [185][1300/1879] lr: 1.0000e-04 eta: 10:36:34 time: 0.2842 data_time: 0.0253 memory: 8198 grad_norm: 7.0460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8297 loss: 0.8297 2022/08/03 18:29:57 - mmengine - INFO - Epoch(train) [185][1320/1879] lr: 1.0000e-04 eta: 10:36:28 time: 0.2871 data_time: 0.0248 memory: 8198 grad_norm: 7.0927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9240 loss: 0.9240 2022/08/03 18:30:03 - mmengine - INFO - Epoch(train) [185][1340/1879] lr: 1.0000e-04 eta: 10:36:23 time: 0.2870 data_time: 0.0213 memory: 8198 grad_norm: 7.0875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0691 loss: 1.0691 2022/08/03 18:30:09 - mmengine - INFO - Epoch(train) [185][1360/1879] lr: 1.0000e-04 eta: 10:36:17 time: 0.2883 data_time: 0.0230 memory: 8198 grad_norm: 7.2920 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8875 loss: 0.8875 2022/08/03 18:30:14 - mmengine - INFO - Epoch(train) [185][1380/1879] lr: 1.0000e-04 eta: 10:36:11 time: 0.2846 data_time: 0.0238 memory: 8198 grad_norm: 6.9917 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1441 loss: 1.1441 2022/08/03 18:30:20 - mmengine - INFO - Epoch(train) [185][1400/1879] lr: 1.0000e-04 eta: 10:36:06 time: 0.2919 data_time: 0.0237 memory: 8198 grad_norm: 7.0297 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9221 loss: 0.9221 2022/08/03 18:30:26 - mmengine - INFO - Epoch(train) [185][1420/1879] lr: 1.0000e-04 eta: 10:36:00 time: 0.2866 data_time: 0.0270 memory: 8198 grad_norm: 7.0483 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9563 loss: 0.9563 2022/08/03 18:30:32 - mmengine - INFO - Epoch(train) [185][1440/1879] lr: 1.0000e-04 eta: 10:35:54 time: 0.2853 data_time: 0.0248 memory: 8198 grad_norm: 7.2371 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9150 loss: 0.9150 2022/08/03 18:30:38 - mmengine - INFO - Epoch(train) [185][1460/1879] lr: 1.0000e-04 eta: 10:35:49 time: 0.2904 data_time: 0.0239 memory: 8198 grad_norm: 7.1728 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9714 loss: 0.9714 2022/08/03 18:30:43 - mmengine - INFO - Epoch(train) [185][1480/1879] lr: 1.0000e-04 eta: 10:35:43 time: 0.2873 data_time: 0.0231 memory: 8198 grad_norm: 7.3232 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0639 loss: 1.0639 2022/08/03 18:30:49 - mmengine - INFO - Epoch(train) [185][1500/1879] lr: 1.0000e-04 eta: 10:35:37 time: 0.2894 data_time: 0.0218 memory: 8198 grad_norm: 7.2386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9877 loss: 0.9877 2022/08/03 18:30:55 - mmengine - INFO - Epoch(train) [185][1520/1879] lr: 1.0000e-04 eta: 10:35:31 time: 0.2810 data_time: 0.0213 memory: 8198 grad_norm: 7.1058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9909 loss: 0.9909 2022/08/03 18:31:01 - mmengine - INFO - Epoch(train) [185][1540/1879] lr: 1.0000e-04 eta: 10:35:26 time: 0.2933 data_time: 0.0240 memory: 8198 grad_norm: 6.9925 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8856 loss: 0.8856 2022/08/03 18:31:07 - mmengine - INFO - Epoch(train) [185][1560/1879] lr: 1.0000e-04 eta: 10:35:20 time: 0.2912 data_time: 0.0238 memory: 8198 grad_norm: 7.1801 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0669 loss: 1.0669 2022/08/03 18:31:12 - mmengine - INFO - Epoch(train) [185][1580/1879] lr: 1.0000e-04 eta: 10:35:14 time: 0.2868 data_time: 0.0267 memory: 8198 grad_norm: 6.9890 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1282 loss: 1.1282 2022/08/03 18:31:18 - mmengine - INFO - Epoch(train) [185][1600/1879] lr: 1.0000e-04 eta: 10:35:09 time: 0.2913 data_time: 0.0251 memory: 8198 grad_norm: 6.9347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9568 loss: 0.9568 2022/08/03 18:31:24 - mmengine - INFO - Epoch(train) [185][1620/1879] lr: 1.0000e-04 eta: 10:35:03 time: 0.2852 data_time: 0.0222 memory: 8198 grad_norm: 6.8934 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/08/03 18:31:30 - mmengine - INFO - Epoch(train) [185][1640/1879] lr: 1.0000e-04 eta: 10:34:57 time: 0.2892 data_time: 0.0238 memory: 8198 grad_norm: 6.9655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/08/03 18:31:36 - mmengine - INFO - Epoch(train) [185][1660/1879] lr: 1.0000e-04 eta: 10:34:52 time: 0.2878 data_time: 0.0228 memory: 8198 grad_norm: 7.1432 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8286 loss: 0.8286 2022/08/03 18:31:41 - mmengine - INFO - Epoch(train) [185][1680/1879] lr: 1.0000e-04 eta: 10:34:46 time: 0.2877 data_time: 0.0273 memory: 8198 grad_norm: 7.3494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1622 loss: 1.1622 2022/08/03 18:31:47 - mmengine - INFO - Epoch(train) [185][1700/1879] lr: 1.0000e-04 eta: 10:34:40 time: 0.2856 data_time: 0.0229 memory: 8198 grad_norm: 7.1140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0941 loss: 1.0941 2022/08/03 18:31:53 - mmengine - INFO - Epoch(train) [185][1720/1879] lr: 1.0000e-04 eta: 10:34:35 time: 0.2834 data_time: 0.0235 memory: 8198 grad_norm: 6.9749 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9913 loss: 0.9913 2022/08/03 18:31:59 - mmengine - INFO - Epoch(train) [185][1740/1879] lr: 1.0000e-04 eta: 10:34:29 time: 0.3049 data_time: 0.0269 memory: 8198 grad_norm: 7.2172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0453 loss: 1.0453 2022/08/03 18:32:05 - mmengine - INFO - Epoch(train) [185][1760/1879] lr: 1.0000e-04 eta: 10:34:23 time: 0.2842 data_time: 0.0205 memory: 8198 grad_norm: 7.2088 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9516 loss: 0.9516 2022/08/03 18:32:11 - mmengine - INFO - Epoch(train) [185][1780/1879] lr: 1.0000e-04 eta: 10:34:18 time: 0.2965 data_time: 0.0254 memory: 8198 grad_norm: 7.1922 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8980 loss: 0.8980 2022/08/03 18:32:16 - mmengine - INFO - Epoch(train) [185][1800/1879] lr: 1.0000e-04 eta: 10:34:12 time: 0.2906 data_time: 0.0294 memory: 8198 grad_norm: 7.0946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9471 loss: 0.9471 2022/08/03 18:32:22 - mmengine - INFO - Epoch(train) [185][1820/1879] lr: 1.0000e-04 eta: 10:34:06 time: 0.2837 data_time: 0.0202 memory: 8198 grad_norm: 7.1748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0002 loss: 1.0002 2022/08/03 18:32:28 - mmengine - INFO - Epoch(train) [185][1840/1879] lr: 1.0000e-04 eta: 10:34:01 time: 0.2896 data_time: 0.0236 memory: 8198 grad_norm: 7.0117 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9215 loss: 0.9215 2022/08/03 18:32:34 - mmengine - INFO - Epoch(train) [185][1860/1879] lr: 1.0000e-04 eta: 10:33:55 time: 0.2857 data_time: 0.0200 memory: 8198 grad_norm: 7.2426 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8457 loss: 0.8457 2022/08/03 18:32:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:32:39 - mmengine - INFO - Epoch(train) [185][1879/1879] lr: 1.0000e-04 eta: 10:33:55 time: 0.2597 data_time: 0.0170 memory: 8198 grad_norm: 7.2921 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1199 loss: 1.1199 2022/08/03 18:32:45 - mmengine - INFO - Epoch(val) [185][20/155] eta: 0:00:44 time: 0.3293 data_time: 0.2355 memory: 1514 2022/08/03 18:32:50 - mmengine - INFO - Epoch(val) [185][40/155] eta: 0:00:27 time: 0.2358 data_time: 0.1464 memory: 1514 2022/08/03 18:32:56 - mmengine - INFO - Epoch(val) [185][60/155] eta: 0:00:28 time: 0.2955 data_time: 0.1989 memory: 1514 2022/08/03 18:33:00 - mmengine - INFO - Epoch(val) [185][80/155] eta: 0:00:16 time: 0.2246 data_time: 0.1367 memory: 1514 2022/08/03 18:33:06 - mmengine - INFO - Epoch(val) [185][100/155] eta: 0:00:16 time: 0.3046 data_time: 0.2194 memory: 1514 2022/08/03 18:33:11 - mmengine - INFO - Epoch(val) [185][120/155] eta: 0:00:08 time: 0.2513 data_time: 0.1637 memory: 1514 2022/08/03 18:33:18 - mmengine - INFO - Epoch(val) [185][140/155] eta: 0:00:04 time: 0.3168 data_time: 0.2278 memory: 1514 2022/08/03 18:33:23 - mmengine - INFO - Epoch(val) [185][155/155] acc/top1: 0.6796 acc/top5: 0.8695 acc/mean1: 0.6795 2022/08/03 18:33:31 - mmengine - INFO - Epoch(train) [186][20/1879] lr: 1.0000e-04 eta: 10:33:43 time: 0.3973 data_time: 0.1030 memory: 8198 grad_norm: 7.2314 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9865 loss: 0.9865 2022/08/03 18:33:37 - mmengine - INFO - Epoch(train) [186][40/1879] lr: 1.0000e-04 eta: 10:33:37 time: 0.2975 data_time: 0.0272 memory: 8198 grad_norm: 7.1011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0777 loss: 1.0777 2022/08/03 18:33:43 - mmengine - INFO - Epoch(train) [186][60/1879] lr: 1.0000e-04 eta: 10:33:32 time: 0.2925 data_time: 0.0217 memory: 8198 grad_norm: 6.8844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0227 loss: 1.0227 2022/08/03 18:33:49 - mmengine - INFO - Epoch(train) [186][80/1879] lr: 1.0000e-04 eta: 10:33:26 time: 0.2914 data_time: 0.0170 memory: 8198 grad_norm: 7.0619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0749 loss: 1.0749 2022/08/03 18:33:54 - mmengine - INFO - Epoch(train) [186][100/1879] lr: 1.0000e-04 eta: 10:33:20 time: 0.2899 data_time: 0.0262 memory: 8198 grad_norm: 7.2953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/08/03 18:34:00 - mmengine - INFO - Epoch(train) [186][120/1879] lr: 1.0000e-04 eta: 10:33:15 time: 0.2944 data_time: 0.0180 memory: 8198 grad_norm: 6.7857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8879 loss: 0.8879 2022/08/03 18:34:06 - mmengine - INFO - Epoch(train) [186][140/1879] lr: 1.0000e-04 eta: 10:33:09 time: 0.2897 data_time: 0.0261 memory: 8198 grad_norm: 7.0663 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8795 loss: 0.8795 2022/08/03 18:34:12 - mmengine - INFO - Epoch(train) [186][160/1879] lr: 1.0000e-04 eta: 10:33:03 time: 0.2861 data_time: 0.0246 memory: 8198 grad_norm: 7.2435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8192 loss: 0.8192 2022/08/03 18:34:18 - mmengine - INFO - Epoch(train) [186][180/1879] lr: 1.0000e-04 eta: 10:32:58 time: 0.2934 data_time: 0.0191 memory: 8198 grad_norm: 7.1595 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8219 loss: 0.8219 2022/08/03 18:34:23 - mmengine - INFO - Epoch(train) [186][200/1879] lr: 1.0000e-04 eta: 10:32:52 time: 0.2837 data_time: 0.0202 memory: 8198 grad_norm: 7.2797 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9385 loss: 0.9385 2022/08/03 18:34:29 - mmengine - INFO - Epoch(train) [186][220/1879] lr: 1.0000e-04 eta: 10:32:46 time: 0.2921 data_time: 0.0224 memory: 8198 grad_norm: 7.2617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/08/03 18:34:35 - mmengine - INFO - Epoch(train) [186][240/1879] lr: 1.0000e-04 eta: 10:32:40 time: 0.2834 data_time: 0.0190 memory: 8198 grad_norm: 7.1883 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0680 loss: 1.0680 2022/08/03 18:34:41 - mmengine - INFO - Epoch(train) [186][260/1879] lr: 1.0000e-04 eta: 10:32:35 time: 0.2910 data_time: 0.0255 memory: 8198 grad_norm: 7.0596 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8930 loss: 0.8930 2022/08/03 18:34:47 - mmengine - INFO - Epoch(train) [186][280/1879] lr: 1.0000e-04 eta: 10:32:29 time: 0.2884 data_time: 0.0243 memory: 8198 grad_norm: 7.1036 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0569 loss: 1.0569 2022/08/03 18:34:52 - mmengine - INFO - Epoch(train) [186][300/1879] lr: 1.0000e-04 eta: 10:32:23 time: 0.2851 data_time: 0.0216 memory: 8198 grad_norm: 6.9520 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9451 loss: 0.9451 2022/08/03 18:34:58 - mmengine - INFO - Epoch(train) [186][320/1879] lr: 1.0000e-04 eta: 10:32:18 time: 0.2932 data_time: 0.0180 memory: 8198 grad_norm: 7.1263 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0577 loss: 1.0577 2022/08/03 18:35:04 - mmengine - INFO - Epoch(train) [186][340/1879] lr: 1.0000e-04 eta: 10:32:12 time: 0.2836 data_time: 0.0264 memory: 8198 grad_norm: 6.9490 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9885 loss: 0.9885 2022/08/03 18:35:10 - mmengine - INFO - Epoch(train) [186][360/1879] lr: 1.0000e-04 eta: 10:32:06 time: 0.2929 data_time: 0.0246 memory: 8198 grad_norm: 7.1698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/08/03 18:35:16 - mmengine - INFO - Epoch(train) [186][380/1879] lr: 1.0000e-04 eta: 10:32:01 time: 0.2850 data_time: 0.0238 memory: 8198 grad_norm: 6.8463 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/08/03 18:35:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:35:21 - mmengine - INFO - Epoch(train) [186][400/1879] lr: 1.0000e-04 eta: 10:31:55 time: 0.2863 data_time: 0.0250 memory: 8198 grad_norm: 6.9830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9984 loss: 0.9984 2022/08/03 18:35:27 - mmengine - INFO - Epoch(train) [186][420/1879] lr: 1.0000e-04 eta: 10:31:49 time: 0.2882 data_time: 0.0285 memory: 8198 grad_norm: 7.2647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/08/03 18:35:33 - mmengine - INFO - Epoch(train) [186][440/1879] lr: 1.0000e-04 eta: 10:31:44 time: 0.2837 data_time: 0.0212 memory: 8198 grad_norm: 7.0913 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0191 loss: 1.0191 2022/08/03 18:35:39 - mmengine - INFO - Epoch(train) [186][460/1879] lr: 1.0000e-04 eta: 10:31:38 time: 0.2911 data_time: 0.0252 memory: 8198 grad_norm: 7.4131 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1930 loss: 1.1930 2022/08/03 18:35:44 - mmengine - INFO - Epoch(train) [186][480/1879] lr: 1.0000e-04 eta: 10:31:32 time: 0.2850 data_time: 0.0261 memory: 8198 grad_norm: 7.2794 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9864 loss: 0.9864 2022/08/03 18:35:50 - mmengine - INFO - Epoch(train) [186][500/1879] lr: 1.0000e-04 eta: 10:31:27 time: 0.2916 data_time: 0.0223 memory: 8198 grad_norm: 6.9799 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8596 loss: 0.8596 2022/08/03 18:35:56 - mmengine - INFO - Epoch(train) [186][520/1879] lr: 1.0000e-04 eta: 10:31:21 time: 0.2836 data_time: 0.0195 memory: 8198 grad_norm: 7.0077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9599 loss: 0.9599 2022/08/03 18:36:02 - mmengine - INFO - Epoch(train) [186][540/1879] lr: 1.0000e-04 eta: 10:31:15 time: 0.2840 data_time: 0.0235 memory: 8198 grad_norm: 6.9687 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9586 loss: 0.9586 2022/08/03 18:36:08 - mmengine - INFO - Epoch(train) [186][560/1879] lr: 1.0000e-04 eta: 10:31:10 time: 0.3012 data_time: 0.0210 memory: 8198 grad_norm: 7.1132 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/08/03 18:36:13 - mmengine - INFO - Epoch(train) [186][580/1879] lr: 1.0000e-04 eta: 10:31:04 time: 0.2858 data_time: 0.0228 memory: 8198 grad_norm: 7.2014 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9310 loss: 0.9310 2022/08/03 18:36:19 - mmengine - INFO - Epoch(train) [186][600/1879] lr: 1.0000e-04 eta: 10:30:58 time: 0.2830 data_time: 0.0217 memory: 8198 grad_norm: 7.1279 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8185 loss: 0.8185 2022/08/03 18:36:25 - mmengine - INFO - Epoch(train) [186][620/1879] lr: 1.0000e-04 eta: 10:30:53 time: 0.2836 data_time: 0.0209 memory: 8198 grad_norm: 7.0798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8841 loss: 0.8841 2022/08/03 18:36:31 - mmengine - INFO - Epoch(train) [186][640/1879] lr: 1.0000e-04 eta: 10:30:47 time: 0.2858 data_time: 0.0240 memory: 8198 grad_norm: 7.0073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/08/03 18:36:36 - mmengine - INFO - Epoch(train) [186][660/1879] lr: 1.0000e-04 eta: 10:30:41 time: 0.2894 data_time: 0.0239 memory: 8198 grad_norm: 7.0471 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8543 loss: 0.8543 2022/08/03 18:36:42 - mmengine - INFO - Epoch(train) [186][680/1879] lr: 1.0000e-04 eta: 10:30:35 time: 0.2854 data_time: 0.0214 memory: 8198 grad_norm: 6.9954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9606 loss: 0.9606 2022/08/03 18:36:48 - mmengine - INFO - Epoch(train) [186][700/1879] lr: 1.0000e-04 eta: 10:30:30 time: 0.2858 data_time: 0.0227 memory: 8198 grad_norm: 6.9999 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/03 18:36:54 - mmengine - INFO - Epoch(train) [186][720/1879] lr: 1.0000e-04 eta: 10:30:24 time: 0.2847 data_time: 0.0271 memory: 8198 grad_norm: 6.8919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/03 18:36:59 - mmengine - INFO - Epoch(train) [186][740/1879] lr: 1.0000e-04 eta: 10:30:18 time: 0.2952 data_time: 0.0252 memory: 8198 grad_norm: 6.9978 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/03 18:37:05 - mmengine - INFO - Epoch(train) [186][760/1879] lr: 1.0000e-04 eta: 10:30:13 time: 0.2873 data_time: 0.0235 memory: 8198 grad_norm: 7.1631 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0248 loss: 1.0248 2022/08/03 18:37:11 - mmengine - INFO - Epoch(train) [186][780/1879] lr: 1.0000e-04 eta: 10:30:07 time: 0.2879 data_time: 0.0278 memory: 8198 grad_norm: 7.1182 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9891 loss: 0.9891 2022/08/03 18:37:17 - mmengine - INFO - Epoch(train) [186][800/1879] lr: 1.0000e-04 eta: 10:30:01 time: 0.2893 data_time: 0.0296 memory: 8198 grad_norm: 7.2118 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0590 loss: 1.0590 2022/08/03 18:37:23 - mmengine - INFO - Epoch(train) [186][820/1879] lr: 1.0000e-04 eta: 10:29:56 time: 0.2862 data_time: 0.0239 memory: 8198 grad_norm: 7.2330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0197 loss: 1.0197 2022/08/03 18:37:28 - mmengine - INFO - Epoch(train) [186][840/1879] lr: 1.0000e-04 eta: 10:29:50 time: 0.2872 data_time: 0.0200 memory: 8198 grad_norm: 6.5947 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/03 18:37:34 - mmengine - INFO - Epoch(train) [186][860/1879] lr: 1.0000e-04 eta: 10:29:44 time: 0.2876 data_time: 0.0280 memory: 8198 grad_norm: 7.2397 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/08/03 18:37:40 - mmengine - INFO - Epoch(train) [186][880/1879] lr: 1.0000e-04 eta: 10:29:39 time: 0.2880 data_time: 0.0220 memory: 8198 grad_norm: 6.9621 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0766 loss: 1.0766 2022/08/03 18:37:46 - mmengine - INFO - Epoch(train) [186][900/1879] lr: 1.0000e-04 eta: 10:29:33 time: 0.2840 data_time: 0.0233 memory: 8198 grad_norm: 6.8735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9333 loss: 0.9333 2022/08/03 18:37:51 - mmengine - INFO - Epoch(train) [186][920/1879] lr: 1.0000e-04 eta: 10:29:27 time: 0.2870 data_time: 0.0229 memory: 8198 grad_norm: 6.9722 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9067 loss: 0.9067 2022/08/03 18:37:57 - mmengine - INFO - Epoch(train) [186][940/1879] lr: 1.0000e-04 eta: 10:29:22 time: 0.2883 data_time: 0.0258 memory: 8198 grad_norm: 7.2428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0808 loss: 1.0808 2022/08/03 18:38:03 - mmengine - INFO - Epoch(train) [186][960/1879] lr: 1.0000e-04 eta: 10:29:16 time: 0.2859 data_time: 0.0179 memory: 8198 grad_norm: 7.1651 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0189 loss: 1.0189 2022/08/03 18:38:09 - mmengine - INFO - Epoch(train) [186][980/1879] lr: 1.0000e-04 eta: 10:29:10 time: 0.2871 data_time: 0.0240 memory: 8198 grad_norm: 6.8939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9234 loss: 0.9234 2022/08/03 18:38:14 - mmengine - INFO - Epoch(train) [186][1000/1879] lr: 1.0000e-04 eta: 10:29:05 time: 0.2860 data_time: 0.0217 memory: 8198 grad_norm: 7.2044 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8567 loss: 0.8567 2022/08/03 18:38:20 - mmengine - INFO - Epoch(train) [186][1020/1879] lr: 1.0000e-04 eta: 10:28:59 time: 0.2880 data_time: 0.0224 memory: 8198 grad_norm: 6.9418 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8277 loss: 0.8277 2022/08/03 18:38:26 - mmengine - INFO - Epoch(train) [186][1040/1879] lr: 1.0000e-04 eta: 10:28:53 time: 0.2873 data_time: 0.0214 memory: 8198 grad_norm: 7.1841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0589 loss: 1.0589 2022/08/03 18:38:32 - mmengine - INFO - Epoch(train) [186][1060/1879] lr: 1.0000e-04 eta: 10:28:47 time: 0.2839 data_time: 0.0244 memory: 8198 grad_norm: 7.1811 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/08/03 18:38:38 - mmengine - INFO - Epoch(train) [186][1080/1879] lr: 1.0000e-04 eta: 10:28:42 time: 0.2887 data_time: 0.0192 memory: 8198 grad_norm: 7.3308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1438 loss: 1.1438 2022/08/03 18:38:43 - mmengine - INFO - Epoch(train) [186][1100/1879] lr: 1.0000e-04 eta: 10:28:36 time: 0.2895 data_time: 0.0234 memory: 8198 grad_norm: 7.2622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/08/03 18:38:49 - mmengine - INFO - Epoch(train) [186][1120/1879] lr: 1.0000e-04 eta: 10:28:30 time: 0.2895 data_time: 0.0250 memory: 8198 grad_norm: 7.3098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/08/03 18:38:55 - mmengine - INFO - Epoch(train) [186][1140/1879] lr: 1.0000e-04 eta: 10:28:25 time: 0.2887 data_time: 0.0228 memory: 8198 grad_norm: 6.8909 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9018 loss: 0.9018 2022/08/03 18:39:01 - mmengine - INFO - Epoch(train) [186][1160/1879] lr: 1.0000e-04 eta: 10:28:19 time: 0.2853 data_time: 0.0165 memory: 8198 grad_norm: 7.2777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9044 loss: 0.9044 2022/08/03 18:39:06 - mmengine - INFO - Epoch(train) [186][1180/1879] lr: 1.0000e-04 eta: 10:28:13 time: 0.2860 data_time: 0.0249 memory: 8198 grad_norm: 6.8390 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/03 18:39:12 - mmengine - INFO - Epoch(train) [186][1200/1879] lr: 1.0000e-04 eta: 10:28:08 time: 0.2867 data_time: 0.0210 memory: 8198 grad_norm: 7.2526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8716 loss: 0.8716 2022/08/03 18:39:18 - mmengine - INFO - Epoch(train) [186][1220/1879] lr: 1.0000e-04 eta: 10:28:02 time: 0.2897 data_time: 0.0223 memory: 8198 grad_norm: 6.9877 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9241 loss: 0.9241 2022/08/03 18:39:24 - mmengine - INFO - Epoch(train) [186][1240/1879] lr: 1.0000e-04 eta: 10:27:56 time: 0.2930 data_time: 0.0185 memory: 8198 grad_norm: 7.1716 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/03 18:39:30 - mmengine - INFO - Epoch(train) [186][1260/1879] lr: 1.0000e-04 eta: 10:27:51 time: 0.2827 data_time: 0.0211 memory: 8198 grad_norm: 7.2461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9501 loss: 0.9501 2022/08/03 18:39:35 - mmengine - INFO - Epoch(train) [186][1280/1879] lr: 1.0000e-04 eta: 10:27:45 time: 0.2843 data_time: 0.0222 memory: 8198 grad_norm: 6.9059 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2622 loss: 1.2622 2022/08/03 18:39:41 - mmengine - INFO - Epoch(train) [186][1300/1879] lr: 1.0000e-04 eta: 10:27:39 time: 0.2916 data_time: 0.0225 memory: 8198 grad_norm: 7.0793 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1498 loss: 1.1498 2022/08/03 18:39:47 - mmengine - INFO - Epoch(train) [186][1320/1879] lr: 1.0000e-04 eta: 10:27:34 time: 0.2855 data_time: 0.0252 memory: 8198 grad_norm: 7.0985 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9234 loss: 0.9234 2022/08/03 18:39:53 - mmengine - INFO - Epoch(train) [186][1340/1879] lr: 1.0000e-04 eta: 10:27:28 time: 0.2862 data_time: 0.0243 memory: 8198 grad_norm: 6.7946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0215 loss: 1.0215 2022/08/03 18:39:58 - mmengine - INFO - Epoch(train) [186][1360/1879] lr: 1.0000e-04 eta: 10:27:22 time: 0.2876 data_time: 0.0222 memory: 8198 grad_norm: 6.8722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/08/03 18:40:04 - mmengine - INFO - Epoch(train) [186][1380/1879] lr: 1.0000e-04 eta: 10:27:17 time: 0.2834 data_time: 0.0215 memory: 8198 grad_norm: 7.1198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9379 loss: 0.9379 2022/08/03 18:40:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:40:10 - mmengine - INFO - Epoch(train) [186][1400/1879] lr: 1.0000e-04 eta: 10:27:11 time: 0.2868 data_time: 0.0269 memory: 8198 grad_norm: 7.3754 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9791 loss: 0.9791 2022/08/03 18:40:16 - mmengine - INFO - Epoch(train) [186][1420/1879] lr: 1.0000e-04 eta: 10:27:05 time: 0.2857 data_time: 0.0228 memory: 8198 grad_norm: 7.0625 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9998 loss: 0.9998 2022/08/03 18:40:22 - mmengine - INFO - Epoch(train) [186][1440/1879] lr: 1.0000e-04 eta: 10:27:00 time: 0.2996 data_time: 0.0216 memory: 8198 grad_norm: 7.2964 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/08/03 18:40:27 - mmengine - INFO - Epoch(train) [186][1460/1879] lr: 1.0000e-04 eta: 10:26:54 time: 0.2845 data_time: 0.0230 memory: 8198 grad_norm: 6.9009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8670 loss: 0.8670 2022/08/03 18:40:33 - mmengine - INFO - Epoch(train) [186][1480/1879] lr: 1.0000e-04 eta: 10:26:48 time: 0.2872 data_time: 0.0185 memory: 8198 grad_norm: 6.8114 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0426 loss: 1.0426 2022/08/03 18:40:39 - mmengine - INFO - Epoch(train) [186][1500/1879] lr: 1.0000e-04 eta: 10:26:42 time: 0.2896 data_time: 0.0229 memory: 8198 grad_norm: 7.2226 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0993 loss: 1.0993 2022/08/03 18:40:45 - mmengine - INFO - Epoch(train) [186][1520/1879] lr: 1.0000e-04 eta: 10:26:37 time: 0.2821 data_time: 0.0177 memory: 8198 grad_norm: 7.2419 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/08/03 18:40:50 - mmengine - INFO - Epoch(train) [186][1540/1879] lr: 1.0000e-04 eta: 10:26:31 time: 0.2838 data_time: 0.0225 memory: 8198 grad_norm: 7.0279 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/08/03 18:40:56 - mmengine - INFO - Epoch(train) [186][1560/1879] lr: 1.0000e-04 eta: 10:26:25 time: 0.2863 data_time: 0.0225 memory: 8198 grad_norm: 6.9879 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9041 loss: 0.9041 2022/08/03 18:41:02 - mmengine - INFO - Epoch(train) [186][1580/1879] lr: 1.0000e-04 eta: 10:26:20 time: 0.3011 data_time: 0.0217 memory: 8198 grad_norm: 7.1035 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0299 loss: 1.0299 2022/08/03 18:41:08 - mmengine - INFO - Epoch(train) [186][1600/1879] lr: 1.0000e-04 eta: 10:26:14 time: 0.2841 data_time: 0.0192 memory: 8198 grad_norm: 6.8210 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9279 loss: 0.9279 2022/08/03 18:41:13 - mmengine - INFO - Epoch(train) [186][1620/1879] lr: 1.0000e-04 eta: 10:26:08 time: 0.2840 data_time: 0.0193 memory: 8198 grad_norm: 7.0039 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9214 loss: 0.9214 2022/08/03 18:41:20 - mmengine - INFO - Epoch(train) [186][1640/1879] lr: 1.0000e-04 eta: 10:26:03 time: 0.3044 data_time: 0.0203 memory: 8198 grad_norm: 7.1949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/08/03 18:41:25 - mmengine - INFO - Epoch(train) [186][1660/1879] lr: 1.0000e-04 eta: 10:25:57 time: 0.2851 data_time: 0.0253 memory: 8198 grad_norm: 6.9385 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8637 loss: 0.8637 2022/08/03 18:41:31 - mmengine - INFO - Epoch(train) [186][1680/1879] lr: 1.0000e-04 eta: 10:25:51 time: 0.2869 data_time: 0.0226 memory: 8198 grad_norm: 6.9547 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/08/03 18:41:37 - mmengine - INFO - Epoch(train) [186][1700/1879] lr: 1.0000e-04 eta: 10:25:46 time: 0.2951 data_time: 0.0222 memory: 8198 grad_norm: 6.8861 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8580 loss: 0.8580 2022/08/03 18:41:43 - mmengine - INFO - Epoch(train) [186][1720/1879] lr: 1.0000e-04 eta: 10:25:40 time: 0.2824 data_time: 0.0192 memory: 8198 grad_norm: 7.2146 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9537 loss: 0.9537 2022/08/03 18:41:49 - mmengine - INFO - Epoch(train) [186][1740/1879] lr: 1.0000e-04 eta: 10:25:34 time: 0.2932 data_time: 0.0287 memory: 8198 grad_norm: 7.2955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9548 loss: 0.9548 2022/08/03 18:41:54 - mmengine - INFO - Epoch(train) [186][1760/1879] lr: 1.0000e-04 eta: 10:25:29 time: 0.2839 data_time: 0.0270 memory: 8198 grad_norm: 6.9726 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8919 loss: 0.8919 2022/08/03 18:42:00 - mmengine - INFO - Epoch(train) [186][1780/1879] lr: 1.0000e-04 eta: 10:25:23 time: 0.2912 data_time: 0.0246 memory: 8198 grad_norm: 6.9399 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8671 loss: 0.8671 2022/08/03 18:42:06 - mmengine - INFO - Epoch(train) [186][1800/1879] lr: 1.0000e-04 eta: 10:25:17 time: 0.2859 data_time: 0.0241 memory: 8198 grad_norm: 6.7156 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8710 loss: 0.8710 2022/08/03 18:42:12 - mmengine - INFO - Epoch(train) [186][1820/1879] lr: 1.0000e-04 eta: 10:25:12 time: 0.2874 data_time: 0.0258 memory: 8198 grad_norm: 6.9517 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9743 loss: 0.9743 2022/08/03 18:42:17 - mmengine - INFO - Epoch(train) [186][1840/1879] lr: 1.0000e-04 eta: 10:25:06 time: 0.2866 data_time: 0.0254 memory: 8198 grad_norm: 7.2367 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0310 loss: 1.0310 2022/08/03 18:42:23 - mmengine - INFO - Epoch(train) [186][1860/1879] lr: 1.0000e-04 eta: 10:25:00 time: 0.2837 data_time: 0.0243 memory: 8198 grad_norm: 7.0169 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8476 loss: 0.8476 2022/08/03 18:42:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:42:28 - mmengine - INFO - Epoch(train) [186][1879/1879] lr: 1.0000e-04 eta: 10:25:00 time: 0.2565 data_time: 0.0160 memory: 8198 grad_norm: 7.1834 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0269 loss: 1.0269 2022/08/03 18:42:36 - mmengine - INFO - Epoch(train) [187][20/1879] lr: 1.0000e-04 eta: 10:24:48 time: 0.4132 data_time: 0.1325 memory: 8198 grad_norm: 6.6766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8188 loss: 0.8188 2022/08/03 18:42:42 - mmengine - INFO - Epoch(train) [187][40/1879] lr: 1.0000e-04 eta: 10:24:43 time: 0.3012 data_time: 0.0211 memory: 8198 grad_norm: 7.0215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9343 loss: 0.9343 2022/08/03 18:42:49 - mmengine - INFO - Epoch(train) [187][60/1879] lr: 1.0000e-04 eta: 10:24:37 time: 0.3102 data_time: 0.0195 memory: 8198 grad_norm: 7.0651 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8618 loss: 0.8618 2022/08/03 18:42:54 - mmengine - INFO - Epoch(train) [187][80/1879] lr: 1.0000e-04 eta: 10:24:31 time: 0.2851 data_time: 0.0199 memory: 8198 grad_norm: 7.1457 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9345 loss: 0.9345 2022/08/03 18:43:00 - mmengine - INFO - Epoch(train) [187][100/1879] lr: 1.0000e-04 eta: 10:24:26 time: 0.2872 data_time: 0.0216 memory: 8198 grad_norm: 7.0845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0381 loss: 1.0381 2022/08/03 18:43:06 - mmengine - INFO - Epoch(train) [187][120/1879] lr: 1.0000e-04 eta: 10:24:20 time: 0.2988 data_time: 0.0205 memory: 8198 grad_norm: 7.0489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8967 loss: 0.8967 2022/08/03 18:43:12 - mmengine - INFO - Epoch(train) [187][140/1879] lr: 1.0000e-04 eta: 10:24:14 time: 0.2820 data_time: 0.0192 memory: 8198 grad_norm: 6.9696 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/03 18:43:18 - mmengine - INFO - Epoch(train) [187][160/1879] lr: 1.0000e-04 eta: 10:24:09 time: 0.2914 data_time: 0.0256 memory: 8198 grad_norm: 6.9689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9100 loss: 0.9100 2022/08/03 18:43:23 - mmengine - INFO - Epoch(train) [187][180/1879] lr: 1.0000e-04 eta: 10:24:03 time: 0.2848 data_time: 0.0195 memory: 8198 grad_norm: 6.8216 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9322 loss: 0.9322 2022/08/03 18:43:29 - mmengine - INFO - Epoch(train) [187][200/1879] lr: 1.0000e-04 eta: 10:23:57 time: 0.2861 data_time: 0.0228 memory: 8198 grad_norm: 7.1988 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1053 loss: 1.1053 2022/08/03 18:43:35 - mmengine - INFO - Epoch(train) [187][220/1879] lr: 1.0000e-04 eta: 10:23:52 time: 0.2856 data_time: 0.0207 memory: 8198 grad_norm: 6.9854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7729 loss: 0.7729 2022/08/03 18:43:41 - mmengine - INFO - Epoch(train) [187][240/1879] lr: 1.0000e-04 eta: 10:23:46 time: 0.2979 data_time: 0.0248 memory: 8198 grad_norm: 7.1765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9412 loss: 0.9412 2022/08/03 18:43:47 - mmengine - INFO - Epoch(train) [187][260/1879] lr: 1.0000e-04 eta: 10:23:40 time: 0.2858 data_time: 0.0276 memory: 8198 grad_norm: 6.9438 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/03 18:43:52 - mmengine - INFO - Epoch(train) [187][280/1879] lr: 1.0000e-04 eta: 10:23:35 time: 0.2865 data_time: 0.0182 memory: 8198 grad_norm: 7.1269 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/03 18:43:58 - mmengine - INFO - Epoch(train) [187][300/1879] lr: 1.0000e-04 eta: 10:23:29 time: 0.2948 data_time: 0.0225 memory: 8198 grad_norm: 7.1744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0704 loss: 1.0704 2022/08/03 18:44:04 - mmengine - INFO - Epoch(train) [187][320/1879] lr: 1.0000e-04 eta: 10:23:23 time: 0.2826 data_time: 0.0241 memory: 8198 grad_norm: 7.2237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9645 loss: 0.9645 2022/08/03 18:44:10 - mmengine - INFO - Epoch(train) [187][340/1879] lr: 1.0000e-04 eta: 10:23:18 time: 0.2835 data_time: 0.0197 memory: 8198 grad_norm: 7.0050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8598 loss: 0.8598 2022/08/03 18:44:15 - mmengine - INFO - Epoch(train) [187][360/1879] lr: 1.0000e-04 eta: 10:23:12 time: 0.2874 data_time: 0.0204 memory: 8198 grad_norm: 7.1194 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8845 loss: 0.8845 2022/08/03 18:44:22 - mmengine - INFO - Epoch(train) [187][380/1879] lr: 1.0000e-04 eta: 10:23:06 time: 0.3041 data_time: 0.0186 memory: 8198 grad_norm: 7.2573 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2422 loss: 1.2422 2022/08/03 18:44:27 - mmengine - INFO - Epoch(train) [187][400/1879] lr: 1.0000e-04 eta: 10:23:01 time: 0.2830 data_time: 0.0194 memory: 8198 grad_norm: 7.1547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9817 loss: 0.9817 2022/08/03 18:44:33 - mmengine - INFO - Epoch(train) [187][420/1879] lr: 1.0000e-04 eta: 10:22:55 time: 0.2859 data_time: 0.0267 memory: 8198 grad_norm: 7.2223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9542 loss: 0.9542 2022/08/03 18:44:39 - mmengine - INFO - Epoch(train) [187][440/1879] lr: 1.0000e-04 eta: 10:22:49 time: 0.3013 data_time: 0.0205 memory: 8198 grad_norm: 6.9039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/08/03 18:44:45 - mmengine - INFO - Epoch(train) [187][460/1879] lr: 1.0000e-04 eta: 10:22:44 time: 0.2865 data_time: 0.0257 memory: 8198 grad_norm: 7.2269 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1184 loss: 1.1184 2022/08/03 18:44:51 - mmengine - INFO - Epoch(train) [187][480/1879] lr: 1.0000e-04 eta: 10:22:38 time: 0.2866 data_time: 0.0263 memory: 8198 grad_norm: 6.9181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8060 loss: 0.8060 2022/08/03 18:44:56 - mmengine - INFO - Epoch(train) [187][500/1879] lr: 1.0000e-04 eta: 10:22:32 time: 0.2853 data_time: 0.0225 memory: 8198 grad_norm: 7.0646 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/08/03 18:44:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:45:02 - mmengine - INFO - Epoch(train) [187][520/1879] lr: 1.0000e-04 eta: 10:22:27 time: 0.2887 data_time: 0.0217 memory: 8198 grad_norm: 7.2695 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0095 loss: 1.0095 2022/08/03 18:45:08 - mmengine - INFO - Epoch(train) [187][540/1879] lr: 1.0000e-04 eta: 10:22:21 time: 0.2970 data_time: 0.0234 memory: 8198 grad_norm: 7.1999 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9694 loss: 0.9694 2022/08/03 18:45:14 - mmengine - INFO - Epoch(train) [187][560/1879] lr: 1.0000e-04 eta: 10:22:15 time: 0.2854 data_time: 0.0238 memory: 8198 grad_norm: 7.2694 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8840 loss: 0.8840 2022/08/03 18:45:20 - mmengine - INFO - Epoch(train) [187][580/1879] lr: 1.0000e-04 eta: 10:22:10 time: 0.2967 data_time: 0.0183 memory: 8198 grad_norm: 7.2378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/08/03 18:45:25 - mmengine - INFO - Epoch(train) [187][600/1879] lr: 1.0000e-04 eta: 10:22:04 time: 0.2842 data_time: 0.0220 memory: 8198 grad_norm: 7.1771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8343 loss: 0.8343 2022/08/03 18:45:31 - mmengine - INFO - Epoch(train) [187][620/1879] lr: 1.0000e-04 eta: 10:21:58 time: 0.2849 data_time: 0.0280 memory: 8198 grad_norm: 7.0984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9537 loss: 0.9537 2022/08/03 18:45:37 - mmengine - INFO - Epoch(train) [187][640/1879] lr: 1.0000e-04 eta: 10:21:53 time: 0.2896 data_time: 0.0228 memory: 8198 grad_norm: 6.9492 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0492 loss: 1.0492 2022/08/03 18:45:43 - mmengine - INFO - Epoch(train) [187][660/1879] lr: 1.0000e-04 eta: 10:21:47 time: 0.2854 data_time: 0.0215 memory: 8198 grad_norm: 6.7392 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1171 loss: 1.1171 2022/08/03 18:45:48 - mmengine - INFO - Epoch(train) [187][680/1879] lr: 1.0000e-04 eta: 10:21:41 time: 0.2850 data_time: 0.0234 memory: 8198 grad_norm: 7.0117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7836 loss: 0.7836 2022/08/03 18:45:54 - mmengine - INFO - Epoch(train) [187][700/1879] lr: 1.0000e-04 eta: 10:21:35 time: 0.2854 data_time: 0.0209 memory: 8198 grad_norm: 7.1301 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9256 loss: 0.9256 2022/08/03 18:46:00 - mmengine - INFO - Epoch(train) [187][720/1879] lr: 1.0000e-04 eta: 10:21:30 time: 0.2925 data_time: 0.0238 memory: 8198 grad_norm: 6.9595 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0032 loss: 1.0032 2022/08/03 18:46:06 - mmengine - INFO - Epoch(train) [187][740/1879] lr: 1.0000e-04 eta: 10:21:24 time: 0.2863 data_time: 0.0253 memory: 8198 grad_norm: 6.8131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9488 loss: 0.9488 2022/08/03 18:46:12 - mmengine - INFO - Epoch(train) [187][760/1879] lr: 1.0000e-04 eta: 10:21:18 time: 0.2885 data_time: 0.0215 memory: 8198 grad_norm: 7.1935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0516 loss: 1.0516 2022/08/03 18:46:17 - mmengine - INFO - Epoch(train) [187][780/1879] lr: 1.0000e-04 eta: 10:21:13 time: 0.2895 data_time: 0.0230 memory: 8198 grad_norm: 6.7881 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0260 loss: 1.0260 2022/08/03 18:46:23 - mmengine - INFO - Epoch(train) [187][800/1879] lr: 1.0000e-04 eta: 10:21:07 time: 0.2875 data_time: 0.0267 memory: 8198 grad_norm: 6.6919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8667 loss: 0.8667 2022/08/03 18:46:29 - mmengine - INFO - Epoch(train) [187][820/1879] lr: 1.0000e-04 eta: 10:21:01 time: 0.3032 data_time: 0.0204 memory: 8198 grad_norm: 6.8384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7691 loss: 0.7691 2022/08/03 18:46:35 - mmengine - INFO - Epoch(train) [187][840/1879] lr: 1.0000e-04 eta: 10:20:56 time: 0.2810 data_time: 0.0201 memory: 8198 grad_norm: 7.2887 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9925 loss: 0.9925 2022/08/03 18:46:41 - mmengine - INFO - Epoch(train) [187][860/1879] lr: 1.0000e-04 eta: 10:20:50 time: 0.2875 data_time: 0.0222 memory: 8198 grad_norm: 7.0887 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9403 loss: 0.9403 2022/08/03 18:46:46 - mmengine - INFO - Epoch(train) [187][880/1879] lr: 1.0000e-04 eta: 10:20:44 time: 0.2865 data_time: 0.0227 memory: 8198 grad_norm: 7.1413 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0668 loss: 1.0668 2022/08/03 18:46:52 - mmengine - INFO - Epoch(train) [187][900/1879] lr: 1.0000e-04 eta: 10:20:39 time: 0.2894 data_time: 0.0232 memory: 8198 grad_norm: 6.8513 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9234 loss: 0.9234 2022/08/03 18:46:58 - mmengine - INFO - Epoch(train) [187][920/1879] lr: 1.0000e-04 eta: 10:20:33 time: 0.2837 data_time: 0.0232 memory: 8198 grad_norm: 7.1476 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9361 loss: 0.9361 2022/08/03 18:47:04 - mmengine - INFO - Epoch(train) [187][940/1879] lr: 1.0000e-04 eta: 10:20:27 time: 0.3009 data_time: 0.0203 memory: 8198 grad_norm: 6.9167 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8833 loss: 0.8833 2022/08/03 18:47:10 - mmengine - INFO - Epoch(train) [187][960/1879] lr: 1.0000e-04 eta: 10:20:22 time: 0.2838 data_time: 0.0150 memory: 8198 grad_norm: 7.0758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9451 loss: 0.9451 2022/08/03 18:47:16 - mmengine - INFO - Epoch(train) [187][980/1879] lr: 1.0000e-04 eta: 10:20:16 time: 0.2897 data_time: 0.0259 memory: 8198 grad_norm: 6.8428 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7944 loss: 0.7944 2022/08/03 18:47:21 - mmengine - INFO - Epoch(train) [187][1000/1879] lr: 1.0000e-04 eta: 10:20:10 time: 0.2900 data_time: 0.0188 memory: 8198 grad_norm: 7.0382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9049 loss: 0.9049 2022/08/03 18:47:27 - mmengine - INFO - Epoch(train) [187][1020/1879] lr: 1.0000e-04 eta: 10:20:05 time: 0.2852 data_time: 0.0244 memory: 8198 grad_norm: 6.9578 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/08/03 18:47:33 - mmengine - INFO - Epoch(train) [187][1040/1879] lr: 1.0000e-04 eta: 10:19:59 time: 0.2874 data_time: 0.0225 memory: 8198 grad_norm: 7.1107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/08/03 18:47:39 - mmengine - INFO - Epoch(train) [187][1060/1879] lr: 1.0000e-04 eta: 10:19:53 time: 0.2937 data_time: 0.0274 memory: 8198 grad_norm: 7.1185 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/08/03 18:47:44 - mmengine - INFO - Epoch(train) [187][1080/1879] lr: 1.0000e-04 eta: 10:19:48 time: 0.2834 data_time: 0.0194 memory: 8198 grad_norm: 7.1535 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0976 loss: 1.0976 2022/08/03 18:47:50 - mmengine - INFO - Epoch(train) [187][1100/1879] lr: 1.0000e-04 eta: 10:19:42 time: 0.2919 data_time: 0.0253 memory: 8198 grad_norm: 6.7787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0789 loss: 1.0789 2022/08/03 18:47:56 - mmengine - INFO - Epoch(train) [187][1120/1879] lr: 1.0000e-04 eta: 10:19:36 time: 0.2850 data_time: 0.0209 memory: 8198 grad_norm: 6.6760 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/03 18:48:02 - mmengine - INFO - Epoch(train) [187][1140/1879] lr: 1.0000e-04 eta: 10:19:31 time: 0.2912 data_time: 0.0271 memory: 8198 grad_norm: 6.9215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8545 loss: 0.8545 2022/08/03 18:48:08 - mmengine - INFO - Epoch(train) [187][1160/1879] lr: 1.0000e-04 eta: 10:19:25 time: 0.2901 data_time: 0.0231 memory: 8198 grad_norm: 6.9541 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9567 loss: 0.9567 2022/08/03 18:48:13 - mmengine - INFO - Epoch(train) [187][1180/1879] lr: 1.0000e-04 eta: 10:19:19 time: 0.2870 data_time: 0.0270 memory: 8198 grad_norm: 6.9361 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9396 loss: 0.9396 2022/08/03 18:48:19 - mmengine - INFO - Epoch(train) [187][1200/1879] lr: 1.0000e-04 eta: 10:19:14 time: 0.2893 data_time: 0.0199 memory: 8198 grad_norm: 7.1791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/08/03 18:48:25 - mmengine - INFO - Epoch(train) [187][1220/1879] lr: 1.0000e-04 eta: 10:19:08 time: 0.2860 data_time: 0.0221 memory: 8198 grad_norm: 6.9212 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8958 loss: 0.8958 2022/08/03 18:48:31 - mmengine - INFO - Epoch(train) [187][1240/1879] lr: 1.0000e-04 eta: 10:19:02 time: 0.2854 data_time: 0.0225 memory: 8198 grad_norm: 6.8865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8684 loss: 0.8684 2022/08/03 18:48:37 - mmengine - INFO - Epoch(train) [187][1260/1879] lr: 1.0000e-04 eta: 10:18:57 time: 0.2898 data_time: 0.0216 memory: 8198 grad_norm: 6.8963 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/03 18:48:42 - mmengine - INFO - Epoch(train) [187][1280/1879] lr: 1.0000e-04 eta: 10:18:51 time: 0.2902 data_time: 0.0211 memory: 8198 grad_norm: 6.9035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0068 loss: 1.0068 2022/08/03 18:48:48 - mmengine - INFO - Epoch(train) [187][1300/1879] lr: 1.0000e-04 eta: 10:18:45 time: 0.2873 data_time: 0.0242 memory: 8198 grad_norm: 7.0304 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9482 loss: 0.9482 2022/08/03 18:48:54 - mmengine - INFO - Epoch(train) [187][1320/1879] lr: 1.0000e-04 eta: 10:18:39 time: 0.2833 data_time: 0.0196 memory: 8198 grad_norm: 7.0035 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8629 loss: 0.8629 2022/08/03 18:49:00 - mmengine - INFO - Epoch(train) [187][1340/1879] lr: 1.0000e-04 eta: 10:18:34 time: 0.2931 data_time: 0.0228 memory: 8198 grad_norm: 7.0743 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9831 loss: 0.9831 2022/08/03 18:49:06 - mmengine - INFO - Epoch(train) [187][1360/1879] lr: 1.0000e-04 eta: 10:18:28 time: 0.2846 data_time: 0.0221 memory: 8198 grad_norm: 7.1879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0409 loss: 1.0409 2022/08/03 18:49:11 - mmengine - INFO - Epoch(train) [187][1380/1879] lr: 1.0000e-04 eta: 10:18:22 time: 0.2879 data_time: 0.0280 memory: 8198 grad_norm: 7.0119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9968 loss: 0.9968 2022/08/03 18:49:17 - mmengine - INFO - Epoch(train) [187][1400/1879] lr: 1.0000e-04 eta: 10:18:17 time: 0.2869 data_time: 0.0164 memory: 8198 grad_norm: 7.3280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0567 loss: 1.0567 2022/08/03 18:49:23 - mmengine - INFO - Epoch(train) [187][1420/1879] lr: 1.0000e-04 eta: 10:18:11 time: 0.2950 data_time: 0.0293 memory: 8198 grad_norm: 7.2058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/08/03 18:49:29 - mmengine - INFO - Epoch(train) [187][1440/1879] lr: 1.0000e-04 eta: 10:18:05 time: 0.2876 data_time: 0.0230 memory: 8198 grad_norm: 7.1753 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/03 18:49:35 - mmengine - INFO - Epoch(train) [187][1460/1879] lr: 1.0000e-04 eta: 10:18:00 time: 0.2879 data_time: 0.0251 memory: 8198 grad_norm: 7.1120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9967 loss: 0.9967 2022/08/03 18:49:40 - mmengine - INFO - Epoch(train) [187][1480/1879] lr: 1.0000e-04 eta: 10:17:54 time: 0.2873 data_time: 0.0191 memory: 8198 grad_norm: 7.0733 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8137 loss: 0.8137 2022/08/03 18:49:46 - mmengine - INFO - Epoch(train) [187][1500/1879] lr: 1.0000e-04 eta: 10:17:48 time: 0.2875 data_time: 0.0245 memory: 8198 grad_norm: 6.8760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1135 loss: 1.1135 2022/08/03 18:49:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:49:52 - mmengine - INFO - Epoch(train) [187][1520/1879] lr: 1.0000e-04 eta: 10:17:43 time: 0.2882 data_time: 0.0234 memory: 8198 grad_norm: 7.2006 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9639 loss: 0.9639 2022/08/03 18:49:58 - mmengine - INFO - Epoch(train) [187][1540/1879] lr: 1.0000e-04 eta: 10:17:37 time: 0.2860 data_time: 0.0228 memory: 8198 grad_norm: 7.3490 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/08/03 18:50:03 - mmengine - INFO - Epoch(train) [187][1560/1879] lr: 1.0000e-04 eta: 10:17:31 time: 0.2912 data_time: 0.0194 memory: 8198 grad_norm: 7.0443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0251 loss: 1.0251 2022/08/03 18:50:09 - mmengine - INFO - Epoch(train) [187][1580/1879] lr: 1.0000e-04 eta: 10:17:26 time: 0.2840 data_time: 0.0248 memory: 8198 grad_norm: 7.1433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0419 loss: 1.0419 2022/08/03 18:50:15 - mmengine - INFO - Epoch(train) [187][1600/1879] lr: 1.0000e-04 eta: 10:17:20 time: 0.2859 data_time: 0.0232 memory: 8198 grad_norm: 6.9010 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1132 loss: 1.1132 2022/08/03 18:50:21 - mmengine - INFO - Epoch(train) [187][1620/1879] lr: 1.0000e-04 eta: 10:17:14 time: 0.3074 data_time: 0.0249 memory: 8198 grad_norm: 7.1697 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9654 loss: 0.9654 2022/08/03 18:50:27 - mmengine - INFO - Epoch(train) [187][1640/1879] lr: 1.0000e-04 eta: 10:17:09 time: 0.2826 data_time: 0.0192 memory: 8198 grad_norm: 7.0076 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9199 loss: 0.9199 2022/08/03 18:50:32 - mmengine - INFO - Epoch(train) [187][1660/1879] lr: 1.0000e-04 eta: 10:17:03 time: 0.2846 data_time: 0.0236 memory: 8198 grad_norm: 7.1113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8831 loss: 0.8831 2022/08/03 18:50:38 - mmengine - INFO - Epoch(train) [187][1680/1879] lr: 1.0000e-04 eta: 10:16:57 time: 0.2919 data_time: 0.0177 memory: 8198 grad_norm: 7.2061 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0839 loss: 1.0839 2022/08/03 18:50:44 - mmengine - INFO - Epoch(train) [187][1700/1879] lr: 1.0000e-04 eta: 10:16:52 time: 0.2940 data_time: 0.0256 memory: 8198 grad_norm: 7.1613 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0855 loss: 1.0855 2022/08/03 18:50:50 - mmengine - INFO - Epoch(train) [187][1720/1879] lr: 1.0000e-04 eta: 10:16:46 time: 0.2977 data_time: 0.0232 memory: 8198 grad_norm: 7.0475 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7831 loss: 0.7831 2022/08/03 18:50:56 - mmengine - INFO - Epoch(train) [187][1740/1879] lr: 1.0000e-04 eta: 10:16:40 time: 0.2871 data_time: 0.0213 memory: 8198 grad_norm: 7.0589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8932 loss: 0.8932 2022/08/03 18:51:02 - mmengine - INFO - Epoch(train) [187][1760/1879] lr: 1.0000e-04 eta: 10:16:35 time: 0.2860 data_time: 0.0235 memory: 8198 grad_norm: 7.0617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/08/03 18:51:08 - mmengine - INFO - Epoch(train) [187][1780/1879] lr: 1.0000e-04 eta: 10:16:29 time: 0.2887 data_time: 0.0270 memory: 8198 grad_norm: 6.9167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9891 loss: 0.9891 2022/08/03 18:51:13 - mmengine - INFO - Epoch(train) [187][1800/1879] lr: 1.0000e-04 eta: 10:16:23 time: 0.2863 data_time: 0.0194 memory: 8198 grad_norm: 7.0737 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9634 loss: 0.9634 2022/08/03 18:51:19 - mmengine - INFO - Epoch(train) [187][1820/1879] lr: 1.0000e-04 eta: 10:16:18 time: 0.2862 data_time: 0.0218 memory: 8198 grad_norm: 7.1327 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9931 loss: 0.9931 2022/08/03 18:51:25 - mmengine - INFO - Epoch(train) [187][1840/1879] lr: 1.0000e-04 eta: 10:16:12 time: 0.2860 data_time: 0.0224 memory: 8198 grad_norm: 6.9483 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/03 18:51:31 - mmengine - INFO - Epoch(train) [187][1860/1879] lr: 1.0000e-04 eta: 10:16:06 time: 0.2925 data_time: 0.0236 memory: 8198 grad_norm: 7.1207 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9081 loss: 0.9081 2022/08/03 18:51:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:51:36 - mmengine - INFO - Epoch(train) [187][1879/1879] lr: 1.0000e-04 eta: 10:16:06 time: 0.2599 data_time: 0.0160 memory: 8198 grad_norm: 7.2577 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8877 loss: 0.8877 2022/08/03 18:51:44 - mmengine - INFO - Epoch(train) [188][20/1879] lr: 1.0000e-04 eta: 10:15:54 time: 0.4220 data_time: 0.1222 memory: 8198 grad_norm: 7.1189 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9628 loss: 0.9628 2022/08/03 18:51:50 - mmengine - INFO - Epoch(train) [188][40/1879] lr: 1.0000e-04 eta: 10:15:49 time: 0.3005 data_time: 0.0235 memory: 8198 grad_norm: 6.9885 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9038 loss: 0.9038 2022/08/03 18:51:56 - mmengine - INFO - Epoch(train) [188][60/1879] lr: 1.0000e-04 eta: 10:15:43 time: 0.2838 data_time: 0.0222 memory: 8198 grad_norm: 7.2467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9441 loss: 0.9441 2022/08/03 18:52:02 - mmengine - INFO - Epoch(train) [188][80/1879] lr: 1.0000e-04 eta: 10:15:37 time: 0.2838 data_time: 0.0232 memory: 8198 grad_norm: 7.0497 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8680 loss: 0.8680 2022/08/03 18:52:07 - mmengine - INFO - Epoch(train) [188][100/1879] lr: 1.0000e-04 eta: 10:15:32 time: 0.2922 data_time: 0.0259 memory: 8198 grad_norm: 7.0172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0084 loss: 1.0084 2022/08/03 18:52:13 - mmengine - INFO - Epoch(train) [188][120/1879] lr: 1.0000e-04 eta: 10:15:26 time: 0.2890 data_time: 0.0178 memory: 8198 grad_norm: 6.9967 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9973 loss: 0.9973 2022/08/03 18:52:19 - mmengine - INFO - Epoch(train) [188][140/1879] lr: 1.0000e-04 eta: 10:15:20 time: 0.2850 data_time: 0.0209 memory: 8198 grad_norm: 7.0704 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0243 loss: 1.0243 2022/08/03 18:52:25 - mmengine - INFO - Epoch(train) [188][160/1879] lr: 1.0000e-04 eta: 10:15:14 time: 0.2864 data_time: 0.0258 memory: 8198 grad_norm: 7.0925 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8973 loss: 0.8973 2022/08/03 18:52:31 - mmengine - INFO - Epoch(train) [188][180/1879] lr: 1.0000e-04 eta: 10:15:09 time: 0.2881 data_time: 0.0254 memory: 8198 grad_norm: 7.0247 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1040 loss: 1.1040 2022/08/03 18:52:36 - mmengine - INFO - Epoch(train) [188][200/1879] lr: 1.0000e-04 eta: 10:15:03 time: 0.2827 data_time: 0.0185 memory: 8198 grad_norm: 7.2431 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0330 loss: 1.0330 2022/08/03 18:52:42 - mmengine - INFO - Epoch(train) [188][220/1879] lr: 1.0000e-04 eta: 10:14:57 time: 0.2864 data_time: 0.0237 memory: 8198 grad_norm: 7.1315 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0573 loss: 1.0573 2022/08/03 18:52:48 - mmengine - INFO - Epoch(train) [188][240/1879] lr: 1.0000e-04 eta: 10:14:52 time: 0.2938 data_time: 0.0251 memory: 8198 grad_norm: 6.7553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9792 loss: 0.9792 2022/08/03 18:52:54 - mmengine - INFO - Epoch(train) [188][260/1879] lr: 1.0000e-04 eta: 10:14:46 time: 0.2837 data_time: 0.0231 memory: 8198 grad_norm: 6.9611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/08/03 18:52:59 - mmengine - INFO - Epoch(train) [188][280/1879] lr: 1.0000e-04 eta: 10:14:40 time: 0.2885 data_time: 0.0223 memory: 8198 grad_norm: 7.2755 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0168 loss: 1.0168 2022/08/03 18:53:05 - mmengine - INFO - Epoch(train) [188][300/1879] lr: 1.0000e-04 eta: 10:14:35 time: 0.2823 data_time: 0.0204 memory: 8198 grad_norm: 7.2779 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0385 loss: 1.0385 2022/08/03 18:53:11 - mmengine - INFO - Epoch(train) [188][320/1879] lr: 1.0000e-04 eta: 10:14:29 time: 0.2837 data_time: 0.0223 memory: 8198 grad_norm: 7.0109 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/08/03 18:53:17 - mmengine - INFO - Epoch(train) [188][340/1879] lr: 1.0000e-04 eta: 10:14:23 time: 0.2904 data_time: 0.0234 memory: 8198 grad_norm: 6.7791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8892 loss: 0.8892 2022/08/03 18:53:22 - mmengine - INFO - Epoch(train) [188][360/1879] lr: 1.0000e-04 eta: 10:14:18 time: 0.2853 data_time: 0.0194 memory: 8198 grad_norm: 6.8964 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0305 loss: 1.0305 2022/08/03 18:53:28 - mmengine - INFO - Epoch(train) [188][380/1879] lr: 1.0000e-04 eta: 10:14:12 time: 0.2938 data_time: 0.0276 memory: 8198 grad_norm: 7.1280 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/08/03 18:53:34 - mmengine - INFO - Epoch(train) [188][400/1879] lr: 1.0000e-04 eta: 10:14:06 time: 0.2828 data_time: 0.0201 memory: 8198 grad_norm: 6.9375 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8898 loss: 0.8898 2022/08/03 18:53:40 - mmengine - INFO - Epoch(train) [188][420/1879] lr: 1.0000e-04 eta: 10:14:01 time: 0.2885 data_time: 0.0242 memory: 8198 grad_norm: 7.1497 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9138 loss: 0.9138 2022/08/03 18:53:45 - mmengine - INFO - Epoch(train) [188][440/1879] lr: 1.0000e-04 eta: 10:13:55 time: 0.2848 data_time: 0.0225 memory: 8198 grad_norm: 6.9798 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/08/03 18:53:51 - mmengine - INFO - Epoch(train) [188][460/1879] lr: 1.0000e-04 eta: 10:13:49 time: 0.2899 data_time: 0.0222 memory: 8198 grad_norm: 6.9105 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/08/03 18:53:57 - mmengine - INFO - Epoch(train) [188][480/1879] lr: 1.0000e-04 eta: 10:13:43 time: 0.2873 data_time: 0.0245 memory: 8198 grad_norm: 6.9525 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9500 loss: 0.9500 2022/08/03 18:54:03 - mmengine - INFO - Epoch(train) [188][500/1879] lr: 1.0000e-04 eta: 10:13:38 time: 0.2878 data_time: 0.0204 memory: 8198 grad_norm: 6.6924 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9923 loss: 0.9923 2022/08/03 18:54:09 - mmengine - INFO - Epoch(train) [188][520/1879] lr: 1.0000e-04 eta: 10:13:32 time: 0.2890 data_time: 0.0214 memory: 8198 grad_norm: 7.3015 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1881 loss: 1.1881 2022/08/03 18:54:14 - mmengine - INFO - Epoch(train) [188][540/1879] lr: 1.0000e-04 eta: 10:13:26 time: 0.2870 data_time: 0.0257 memory: 8198 grad_norm: 7.0242 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9475 loss: 0.9475 2022/08/03 18:54:20 - mmengine - INFO - Epoch(train) [188][560/1879] lr: 1.0000e-04 eta: 10:13:21 time: 0.2838 data_time: 0.0205 memory: 8198 grad_norm: 6.9462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/08/03 18:54:26 - mmengine - INFO - Epoch(train) [188][580/1879] lr: 1.0000e-04 eta: 10:13:15 time: 0.2892 data_time: 0.0287 memory: 8198 grad_norm: 7.0203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9967 loss: 0.9967 2022/08/03 18:54:32 - mmengine - INFO - Epoch(train) [188][600/1879] lr: 1.0000e-04 eta: 10:13:09 time: 0.2889 data_time: 0.0244 memory: 8198 grad_norm: 6.8640 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8923 loss: 0.8923 2022/08/03 18:54:37 - mmengine - INFO - Epoch(train) [188][620/1879] lr: 1.0000e-04 eta: 10:13:04 time: 0.2838 data_time: 0.0257 memory: 8198 grad_norm: 6.9524 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9374 loss: 0.9374 2022/08/03 18:54:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:54:43 - mmengine - INFO - Epoch(train) [188][640/1879] lr: 1.0000e-04 eta: 10:12:58 time: 0.2895 data_time: 0.0233 memory: 8198 grad_norm: 7.2602 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0741 loss: 1.0741 2022/08/03 18:54:49 - mmengine - INFO - Epoch(train) [188][660/1879] lr: 1.0000e-04 eta: 10:12:52 time: 0.2853 data_time: 0.0215 memory: 8198 grad_norm: 7.3648 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/08/03 18:54:55 - mmengine - INFO - Epoch(train) [188][680/1879] lr: 1.0000e-04 eta: 10:12:47 time: 0.2880 data_time: 0.0276 memory: 8198 grad_norm: 7.1952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0182 loss: 1.0182 2022/08/03 18:55:01 - mmengine - INFO - Epoch(train) [188][700/1879] lr: 1.0000e-04 eta: 10:12:41 time: 0.2894 data_time: 0.0225 memory: 8198 grad_norm: 7.1029 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8609 loss: 0.8609 2022/08/03 18:55:06 - mmengine - INFO - Epoch(train) [188][720/1879] lr: 1.0000e-04 eta: 10:12:35 time: 0.2829 data_time: 0.0210 memory: 8198 grad_norm: 6.8936 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9670 loss: 0.9670 2022/08/03 18:55:12 - mmengine - INFO - Epoch(train) [188][740/1879] lr: 1.0000e-04 eta: 10:12:30 time: 0.2853 data_time: 0.0244 memory: 8198 grad_norm: 6.8531 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0411 loss: 1.0411 2022/08/03 18:55:18 - mmengine - INFO - Epoch(train) [188][760/1879] lr: 1.0000e-04 eta: 10:12:24 time: 0.2825 data_time: 0.0251 memory: 8198 grad_norm: 7.0192 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8296 loss: 0.8296 2022/08/03 18:55:23 - mmengine - INFO - Epoch(train) [188][780/1879] lr: 1.0000e-04 eta: 10:12:18 time: 0.2863 data_time: 0.0216 memory: 8198 grad_norm: 7.3000 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9116 loss: 0.9116 2022/08/03 18:55:29 - mmengine - INFO - Epoch(train) [188][800/1879] lr: 1.0000e-04 eta: 10:12:12 time: 0.2876 data_time: 0.0232 memory: 8198 grad_norm: 7.0260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9705 loss: 0.9705 2022/08/03 18:55:35 - mmengine - INFO - Epoch(train) [188][820/1879] lr: 1.0000e-04 eta: 10:12:07 time: 0.2848 data_time: 0.0251 memory: 8198 grad_norm: 7.0123 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9873 loss: 0.9873 2022/08/03 18:55:41 - mmengine - INFO - Epoch(train) [188][840/1879] lr: 1.0000e-04 eta: 10:12:01 time: 0.2836 data_time: 0.0222 memory: 8198 grad_norm: 7.0392 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0844 loss: 1.0844 2022/08/03 18:55:46 - mmengine - INFO - Epoch(train) [188][860/1879] lr: 1.0000e-04 eta: 10:11:55 time: 0.2843 data_time: 0.0227 memory: 8198 grad_norm: 7.1622 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9572 loss: 0.9572 2022/08/03 18:55:52 - mmengine - INFO - Epoch(train) [188][880/1879] lr: 1.0000e-04 eta: 10:11:50 time: 0.2895 data_time: 0.0274 memory: 8198 grad_norm: 7.0437 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9632 loss: 0.9632 2022/08/03 18:55:58 - mmengine - INFO - Epoch(train) [188][900/1879] lr: 1.0000e-04 eta: 10:11:44 time: 0.2875 data_time: 0.0219 memory: 8198 grad_norm: 7.0647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0120 loss: 1.0120 2022/08/03 18:56:04 - mmengine - INFO - Epoch(train) [188][920/1879] lr: 1.0000e-04 eta: 10:11:38 time: 0.2852 data_time: 0.0179 memory: 8198 grad_norm: 7.3051 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0869 loss: 1.0869 2022/08/03 18:56:09 - mmengine - INFO - Epoch(train) [188][940/1879] lr: 1.0000e-04 eta: 10:11:33 time: 0.2913 data_time: 0.0275 memory: 8198 grad_norm: 7.2317 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8680 loss: 0.8680 2022/08/03 18:56:15 - mmengine - INFO - Epoch(train) [188][960/1879] lr: 1.0000e-04 eta: 10:11:27 time: 0.2890 data_time: 0.0217 memory: 8198 grad_norm: 7.0842 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8361 loss: 0.8361 2022/08/03 18:56:21 - mmengine - INFO - Epoch(train) [188][980/1879] lr: 1.0000e-04 eta: 10:11:21 time: 0.2870 data_time: 0.0322 memory: 8198 grad_norm: 7.2392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9267 loss: 0.9267 2022/08/03 18:56:27 - mmengine - INFO - Epoch(train) [188][1000/1879] lr: 1.0000e-04 eta: 10:11:16 time: 0.2847 data_time: 0.0227 memory: 8198 grad_norm: 7.1491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9558 loss: 0.9558 2022/08/03 18:56:33 - mmengine - INFO - Epoch(train) [188][1020/1879] lr: 1.0000e-04 eta: 10:11:10 time: 0.2907 data_time: 0.0257 memory: 8198 grad_norm: 7.1729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/08/03 18:56:38 - mmengine - INFO - Epoch(train) [188][1040/1879] lr: 1.0000e-04 eta: 10:11:04 time: 0.2844 data_time: 0.0214 memory: 8198 grad_norm: 7.1564 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0382 loss: 1.0382 2022/08/03 18:56:44 - mmengine - INFO - Epoch(train) [188][1060/1879] lr: 1.0000e-04 eta: 10:10:59 time: 0.2908 data_time: 0.0269 memory: 8198 grad_norm: 7.2526 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1279 loss: 1.1279 2022/08/03 18:56:50 - mmengine - INFO - Epoch(train) [188][1080/1879] lr: 1.0000e-04 eta: 10:10:53 time: 0.2903 data_time: 0.0212 memory: 8198 grad_norm: 7.1105 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1522 loss: 1.1522 2022/08/03 18:56:56 - mmengine - INFO - Epoch(train) [188][1100/1879] lr: 1.0000e-04 eta: 10:10:47 time: 0.2836 data_time: 0.0201 memory: 8198 grad_norm: 7.1792 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0509 loss: 1.0509 2022/08/03 18:57:02 - mmengine - INFO - Epoch(train) [188][1120/1879] lr: 1.0000e-04 eta: 10:10:41 time: 0.2917 data_time: 0.0211 memory: 8198 grad_norm: 7.1525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/08/03 18:57:07 - mmengine - INFO - Epoch(train) [188][1140/1879] lr: 1.0000e-04 eta: 10:10:36 time: 0.2866 data_time: 0.0293 memory: 8198 grad_norm: 7.0122 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1097 loss: 1.1097 2022/08/03 18:57:13 - mmengine - INFO - Epoch(train) [188][1160/1879] lr: 1.0000e-04 eta: 10:10:30 time: 0.2979 data_time: 0.0225 memory: 8198 grad_norm: 6.9082 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0517 loss: 1.0517 2022/08/03 18:57:19 - mmengine - INFO - Epoch(train) [188][1180/1879] lr: 1.0000e-04 eta: 10:10:24 time: 0.2848 data_time: 0.0222 memory: 8198 grad_norm: 7.3096 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9475 loss: 0.9475 2022/08/03 18:57:25 - mmengine - INFO - Epoch(train) [188][1200/1879] lr: 1.0000e-04 eta: 10:10:19 time: 0.2894 data_time: 0.0231 memory: 8198 grad_norm: 6.9238 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0204 loss: 1.0204 2022/08/03 18:57:31 - mmengine - INFO - Epoch(train) [188][1220/1879] lr: 1.0000e-04 eta: 10:10:13 time: 0.2915 data_time: 0.0260 memory: 8198 grad_norm: 6.8656 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6674 loss: 0.6674 2022/08/03 18:57:36 - mmengine - INFO - Epoch(train) [188][1240/1879] lr: 1.0000e-04 eta: 10:10:07 time: 0.2818 data_time: 0.0175 memory: 8198 grad_norm: 7.2333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8332 loss: 0.8332 2022/08/03 18:57:42 - mmengine - INFO - Epoch(train) [188][1260/1879] lr: 1.0000e-04 eta: 10:10:02 time: 0.2844 data_time: 0.0176 memory: 8198 grad_norm: 6.8793 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/08/03 18:57:48 - mmengine - INFO - Epoch(train) [188][1280/1879] lr: 1.0000e-04 eta: 10:09:56 time: 0.2878 data_time: 0.0168 memory: 8198 grad_norm: 7.0617 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0283 loss: 1.0283 2022/08/03 18:57:54 - mmengine - INFO - Epoch(train) [188][1300/1879] lr: 1.0000e-04 eta: 10:09:50 time: 0.2910 data_time: 0.0280 memory: 8198 grad_norm: 7.1929 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9776 loss: 0.9776 2022/08/03 18:57:59 - mmengine - INFO - Epoch(train) [188][1320/1879] lr: 1.0000e-04 eta: 10:09:45 time: 0.2869 data_time: 0.0231 memory: 8198 grad_norm: 7.0066 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9617 loss: 0.9617 2022/08/03 18:58:05 - mmengine - INFO - Epoch(train) [188][1340/1879] lr: 1.0000e-04 eta: 10:09:39 time: 0.2829 data_time: 0.0226 memory: 8198 grad_norm: 7.0489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9556 loss: 0.9556 2022/08/03 18:58:11 - mmengine - INFO - Epoch(train) [188][1360/1879] lr: 1.0000e-04 eta: 10:09:33 time: 0.3021 data_time: 0.0200 memory: 8198 grad_norm: 7.2776 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8341 loss: 0.8341 2022/08/03 18:58:17 - mmengine - INFO - Epoch(train) [188][1380/1879] lr: 1.0000e-04 eta: 10:09:28 time: 0.2850 data_time: 0.0243 memory: 8198 grad_norm: 6.8352 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7369 loss: 0.7369 2022/08/03 18:58:23 - mmengine - INFO - Epoch(train) [188][1400/1879] lr: 1.0000e-04 eta: 10:09:22 time: 0.2881 data_time: 0.0208 memory: 8198 grad_norm: 7.3766 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8285 loss: 0.8285 2022/08/03 18:58:29 - mmengine - INFO - Epoch(train) [188][1420/1879] lr: 1.0000e-04 eta: 10:09:16 time: 0.2915 data_time: 0.0259 memory: 8198 grad_norm: 7.0280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9878 loss: 0.9878 2022/08/03 18:58:34 - mmengine - INFO - Epoch(train) [188][1440/1879] lr: 1.0000e-04 eta: 10:09:11 time: 0.2856 data_time: 0.0213 memory: 8198 grad_norm: 6.9186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0073 loss: 1.0073 2022/08/03 18:58:40 - mmengine - INFO - Epoch(train) [188][1460/1879] lr: 1.0000e-04 eta: 10:09:05 time: 0.2828 data_time: 0.0226 memory: 8198 grad_norm: 6.9054 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0115 loss: 1.0115 2022/08/03 18:58:46 - mmengine - INFO - Epoch(train) [188][1480/1879] lr: 1.0000e-04 eta: 10:08:59 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 6.9533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9799 loss: 0.9799 2022/08/03 18:58:52 - mmengine - INFO - Epoch(train) [188][1500/1879] lr: 1.0000e-04 eta: 10:08:54 time: 0.3116 data_time: 0.0221 memory: 8198 grad_norm: 7.2241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8662 loss: 0.8662 2022/08/03 18:58:58 - mmengine - INFO - Epoch(train) [188][1520/1879] lr: 1.0000e-04 eta: 10:08:48 time: 0.2843 data_time: 0.0238 memory: 8198 grad_norm: 7.0082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/08/03 18:59:03 - mmengine - INFO - Epoch(train) [188][1540/1879] lr: 1.0000e-04 eta: 10:08:42 time: 0.2845 data_time: 0.0225 memory: 8198 grad_norm: 7.1159 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/08/03 18:59:09 - mmengine - INFO - Epoch(train) [188][1560/1879] lr: 1.0000e-04 eta: 10:08:37 time: 0.2868 data_time: 0.0246 memory: 8198 grad_norm: 7.2970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8450 loss: 0.8450 2022/08/03 18:59:15 - mmengine - INFO - Epoch(train) [188][1580/1879] lr: 1.0000e-04 eta: 10:08:31 time: 0.2854 data_time: 0.0225 memory: 8198 grad_norm: 7.1383 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9428 loss: 0.9428 2022/08/03 18:59:21 - mmengine - INFO - Epoch(train) [188][1600/1879] lr: 1.0000e-04 eta: 10:08:25 time: 0.2912 data_time: 0.0209 memory: 8198 grad_norm: 7.1485 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9962 loss: 0.9962 2022/08/03 18:59:27 - mmengine - INFO - Epoch(train) [188][1620/1879] lr: 1.0000e-04 eta: 10:08:20 time: 0.2876 data_time: 0.0262 memory: 8198 grad_norm: 7.1711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1569 loss: 1.1569 2022/08/03 18:59:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 18:59:32 - mmengine - INFO - Epoch(train) [188][1640/1879] lr: 1.0000e-04 eta: 10:08:14 time: 0.2947 data_time: 0.0210 memory: 8198 grad_norm: 7.1718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9727 loss: 0.9727 2022/08/03 18:59:38 - mmengine - INFO - Epoch(train) [188][1660/1879] lr: 1.0000e-04 eta: 10:08:08 time: 0.2871 data_time: 0.0234 memory: 8198 grad_norm: 7.2705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0212 loss: 1.0212 2022/08/03 18:59:44 - mmengine - INFO - Epoch(train) [188][1680/1879] lr: 1.0000e-04 eta: 10:08:03 time: 0.2862 data_time: 0.0205 memory: 8198 grad_norm: 7.0377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/08/03 18:59:50 - mmengine - INFO - Epoch(train) [188][1700/1879] lr: 1.0000e-04 eta: 10:07:57 time: 0.3034 data_time: 0.0203 memory: 8198 grad_norm: 7.3778 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0021 loss: 1.0021 2022/08/03 18:59:56 - mmengine - INFO - Epoch(train) [188][1720/1879] lr: 1.0000e-04 eta: 10:07:51 time: 0.2845 data_time: 0.0240 memory: 8198 grad_norm: 7.0088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/08/03 19:00:02 - mmengine - INFO - Epoch(train) [188][1740/1879] lr: 1.0000e-04 eta: 10:07:46 time: 0.2890 data_time: 0.0232 memory: 8198 grad_norm: 7.2171 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8212 loss: 0.8212 2022/08/03 19:00:07 - mmengine - INFO - Epoch(train) [188][1760/1879] lr: 1.0000e-04 eta: 10:07:40 time: 0.2827 data_time: 0.0206 memory: 8198 grad_norm: 7.1689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9117 loss: 0.9117 2022/08/03 19:00:13 - mmengine - INFO - Epoch(train) [188][1780/1879] lr: 1.0000e-04 eta: 10:07:34 time: 0.3043 data_time: 0.0182 memory: 8198 grad_norm: 6.8603 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/08/03 19:00:19 - mmengine - INFO - Epoch(train) [188][1800/1879] lr: 1.0000e-04 eta: 10:07:29 time: 0.2902 data_time: 0.0284 memory: 8198 grad_norm: 7.0469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9102 loss: 0.9102 2022/08/03 19:00:25 - mmengine - INFO - Epoch(train) [188][1820/1879] lr: 1.0000e-04 eta: 10:07:23 time: 0.2836 data_time: 0.0225 memory: 8198 grad_norm: 6.9501 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0705 loss: 1.0705 2022/08/03 19:00:31 - mmengine - INFO - Epoch(train) [188][1840/1879] lr: 1.0000e-04 eta: 10:07:17 time: 0.2880 data_time: 0.0208 memory: 8198 grad_norm: 7.1972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9923 loss: 0.9923 2022/08/03 19:00:37 - mmengine - INFO - Epoch(train) [188][1860/1879] lr: 1.0000e-04 eta: 10:07:12 time: 0.2895 data_time: 0.0238 memory: 8198 grad_norm: 7.2232 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9159 loss: 0.9159 2022/08/03 19:00:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:00:42 - mmengine - INFO - Epoch(train) [188][1879/1879] lr: 1.0000e-04 eta: 10:07:12 time: 0.2615 data_time: 0.0130 memory: 8198 grad_norm: 7.2931 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9499 loss: 0.9499 2022/08/03 19:00:42 - mmengine - INFO - Saving checkpoint at 188 epochs 2022/08/03 19:00:51 - mmengine - INFO - Epoch(train) [189][20/1879] lr: 1.0000e-04 eta: 10:06:59 time: 0.3735 data_time: 0.1138 memory: 8198 grad_norm: 7.1529 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8859 loss: 0.8859 2022/08/03 19:00:57 - mmengine - INFO - Epoch(train) [189][40/1879] lr: 1.0000e-04 eta: 10:06:54 time: 0.2895 data_time: 0.0203 memory: 8198 grad_norm: 7.1694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9696 loss: 0.9696 2022/08/03 19:01:03 - mmengine - INFO - Epoch(train) [189][60/1879] lr: 1.0000e-04 eta: 10:06:48 time: 0.2902 data_time: 0.0257 memory: 8198 grad_norm: 7.2159 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8530 loss: 0.8530 2022/08/03 19:01:09 - mmengine - INFO - Epoch(train) [189][80/1879] lr: 1.0000e-04 eta: 10:06:42 time: 0.2836 data_time: 0.0185 memory: 8198 grad_norm: 7.1308 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0273 loss: 1.0273 2022/08/03 19:01:15 - mmengine - INFO - Epoch(train) [189][100/1879] lr: 1.0000e-04 eta: 10:06:36 time: 0.2867 data_time: 0.0231 memory: 8198 grad_norm: 7.2104 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9611 loss: 0.9611 2022/08/03 19:01:20 - mmengine - INFO - Epoch(train) [189][120/1879] lr: 1.0000e-04 eta: 10:06:31 time: 0.2897 data_time: 0.0212 memory: 8198 grad_norm: 7.1078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/08/03 19:01:26 - mmengine - INFO - Epoch(train) [189][140/1879] lr: 1.0000e-04 eta: 10:06:25 time: 0.2873 data_time: 0.0249 memory: 8198 grad_norm: 7.1491 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1117 loss: 1.1117 2022/08/03 19:01:32 - mmengine - INFO - Epoch(train) [189][160/1879] lr: 1.0000e-04 eta: 10:06:19 time: 0.2823 data_time: 0.0225 memory: 8198 grad_norm: 7.2761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9485 loss: 0.9485 2022/08/03 19:01:38 - mmengine - INFO - Epoch(train) [189][180/1879] lr: 1.0000e-04 eta: 10:06:14 time: 0.2860 data_time: 0.0252 memory: 8198 grad_norm: 7.2050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0344 loss: 1.0344 2022/08/03 19:01:43 - mmengine - INFO - Epoch(train) [189][200/1879] lr: 1.0000e-04 eta: 10:06:08 time: 0.2866 data_time: 0.0257 memory: 8198 grad_norm: 7.1201 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9845 loss: 0.9845 2022/08/03 19:01:49 - mmengine - INFO - Epoch(train) [189][220/1879] lr: 1.0000e-04 eta: 10:06:02 time: 0.2842 data_time: 0.0235 memory: 8198 grad_norm: 6.9864 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0726 loss: 1.0726 2022/08/03 19:01:55 - mmengine - INFO - Epoch(train) [189][240/1879] lr: 1.0000e-04 eta: 10:05:57 time: 0.2841 data_time: 0.0235 memory: 8198 grad_norm: 6.9557 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8501 loss: 0.8501 2022/08/03 19:02:01 - mmengine - INFO - Epoch(train) [189][260/1879] lr: 1.0000e-04 eta: 10:05:51 time: 0.2872 data_time: 0.0223 memory: 8198 grad_norm: 7.0270 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/08/03 19:02:06 - mmengine - INFO - Epoch(train) [189][280/1879] lr: 1.0000e-04 eta: 10:05:45 time: 0.2830 data_time: 0.0208 memory: 8198 grad_norm: 7.1598 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0436 loss: 1.0436 2022/08/03 19:02:12 - mmengine - INFO - Epoch(train) [189][300/1879] lr: 1.0000e-04 eta: 10:05:40 time: 0.2996 data_time: 0.0371 memory: 8198 grad_norm: 7.0385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0020 loss: 1.0020 2022/08/03 19:02:18 - mmengine - INFO - Epoch(train) [189][320/1879] lr: 1.0000e-04 eta: 10:05:34 time: 0.2833 data_time: 0.0181 memory: 8198 grad_norm: 7.0330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8731 loss: 0.8731 2022/08/03 19:02:24 - mmengine - INFO - Epoch(train) [189][340/1879] lr: 1.0000e-04 eta: 10:05:28 time: 0.2869 data_time: 0.0277 memory: 8198 grad_norm: 7.1216 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/03 19:02:30 - mmengine - INFO - Epoch(train) [189][360/1879] lr: 1.0000e-04 eta: 10:05:23 time: 0.2965 data_time: 0.0294 memory: 8198 grad_norm: 6.7707 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/08/03 19:02:35 - mmengine - INFO - Epoch(train) [189][380/1879] lr: 1.0000e-04 eta: 10:05:17 time: 0.2822 data_time: 0.0181 memory: 8198 grad_norm: 6.8546 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8571 loss: 0.8571 2022/08/03 19:02:41 - mmengine - INFO - Epoch(train) [189][400/1879] lr: 1.0000e-04 eta: 10:05:11 time: 0.2953 data_time: 0.0207 memory: 8198 grad_norm: 6.9263 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8702 loss: 0.8702 2022/08/03 19:02:47 - mmengine - INFO - Epoch(train) [189][420/1879] lr: 1.0000e-04 eta: 10:05:06 time: 0.2837 data_time: 0.0245 memory: 8198 grad_norm: 6.8467 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9564 loss: 0.9564 2022/08/03 19:02:53 - mmengine - INFO - Epoch(train) [189][440/1879] lr: 1.0000e-04 eta: 10:05:00 time: 0.2850 data_time: 0.0220 memory: 8198 grad_norm: 7.1656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8475 loss: 0.8475 2022/08/03 19:02:59 - mmengine - INFO - Epoch(train) [189][460/1879] lr: 1.0000e-04 eta: 10:04:54 time: 0.3076 data_time: 0.0238 memory: 8198 grad_norm: 7.3044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/08/03 19:03:05 - mmengine - INFO - Epoch(train) [189][480/1879] lr: 1.0000e-04 eta: 10:04:49 time: 0.2817 data_time: 0.0205 memory: 8198 grad_norm: 7.1949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9180 loss: 0.9180 2022/08/03 19:03:10 - mmengine - INFO - Epoch(train) [189][500/1879] lr: 1.0000e-04 eta: 10:04:43 time: 0.2910 data_time: 0.0229 memory: 8198 grad_norm: 7.0673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9745 loss: 0.9745 2022/08/03 19:03:16 - mmengine - INFO - Epoch(train) [189][520/1879] lr: 1.0000e-04 eta: 10:04:37 time: 0.2874 data_time: 0.0212 memory: 8198 grad_norm: 7.3295 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1780 loss: 1.1780 2022/08/03 19:03:22 - mmengine - INFO - Epoch(train) [189][540/1879] lr: 1.0000e-04 eta: 10:04:32 time: 0.2875 data_time: 0.0242 memory: 8198 grad_norm: 7.3649 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9607 loss: 0.9607 2022/08/03 19:03:28 - mmengine - INFO - Epoch(train) [189][560/1879] lr: 1.0000e-04 eta: 10:04:26 time: 0.2944 data_time: 0.0217 memory: 8198 grad_norm: 7.1763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2053 loss: 1.2053 2022/08/03 19:03:34 - mmengine - INFO - Epoch(train) [189][580/1879] lr: 1.0000e-04 eta: 10:04:20 time: 0.2847 data_time: 0.0214 memory: 8198 grad_norm: 6.9622 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0423 loss: 1.0423 2022/08/03 19:03:39 - mmengine - INFO - Epoch(train) [189][600/1879] lr: 1.0000e-04 eta: 10:04:14 time: 0.2866 data_time: 0.0223 memory: 8198 grad_norm: 7.3074 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/08/03 19:03:45 - mmengine - INFO - Epoch(train) [189][620/1879] lr: 1.0000e-04 eta: 10:04:09 time: 0.2853 data_time: 0.0217 memory: 8198 grad_norm: 7.2786 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9053 loss: 0.9053 2022/08/03 19:03:51 - mmengine - INFO - Epoch(train) [189][640/1879] lr: 1.0000e-04 eta: 10:04:03 time: 0.2861 data_time: 0.0229 memory: 8198 grad_norm: 7.0076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8171 loss: 0.8171 2022/08/03 19:03:57 - mmengine - INFO - Epoch(train) [189][660/1879] lr: 1.0000e-04 eta: 10:03:57 time: 0.2857 data_time: 0.0254 memory: 8198 grad_norm: 7.1189 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9168 loss: 0.9168 2022/08/03 19:04:02 - mmengine - INFO - Epoch(train) [189][680/1879] lr: 1.0000e-04 eta: 10:03:52 time: 0.2881 data_time: 0.0223 memory: 8198 grad_norm: 6.9150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9762 loss: 0.9762 2022/08/03 19:04:08 - mmengine - INFO - Epoch(train) [189][700/1879] lr: 1.0000e-04 eta: 10:03:46 time: 0.2838 data_time: 0.0235 memory: 8198 grad_norm: 6.9304 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8005 loss: 0.8005 2022/08/03 19:04:14 - mmengine - INFO - Epoch(train) [189][720/1879] lr: 1.0000e-04 eta: 10:03:40 time: 0.2930 data_time: 0.0297 memory: 8198 grad_norm: 7.1392 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0637 loss: 1.0637 2022/08/03 19:04:20 - mmengine - INFO - Epoch(train) [189][740/1879] lr: 1.0000e-04 eta: 10:03:35 time: 0.2915 data_time: 0.0218 memory: 8198 grad_norm: 7.1870 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0593 loss: 1.0593 2022/08/03 19:04:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:04:25 - mmengine - INFO - Epoch(train) [189][760/1879] lr: 1.0000e-04 eta: 10:03:29 time: 0.2861 data_time: 0.0251 memory: 8198 grad_norm: 7.1682 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/08/03 19:04:31 - mmengine - INFO - Epoch(train) [189][780/1879] lr: 1.0000e-04 eta: 10:03:23 time: 0.2863 data_time: 0.0227 memory: 8198 grad_norm: 7.1941 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0675 loss: 1.0675 2022/08/03 19:04:37 - mmengine - INFO - Epoch(train) [189][800/1879] lr: 1.0000e-04 eta: 10:03:18 time: 0.2841 data_time: 0.0180 memory: 8198 grad_norm: 7.1365 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9805 loss: 0.9805 2022/08/03 19:04:43 - mmengine - INFO - Epoch(train) [189][820/1879] lr: 1.0000e-04 eta: 10:03:12 time: 0.2910 data_time: 0.0250 memory: 8198 grad_norm: 7.1085 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0603 loss: 1.0603 2022/08/03 19:04:49 - mmengine - INFO - Epoch(train) [189][840/1879] lr: 1.0000e-04 eta: 10:03:06 time: 0.2888 data_time: 0.0217 memory: 8198 grad_norm: 6.8811 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9200 loss: 0.9200 2022/08/03 19:04:54 - mmengine - INFO - Epoch(train) [189][860/1879] lr: 1.0000e-04 eta: 10:03:01 time: 0.2900 data_time: 0.0257 memory: 8198 grad_norm: 7.0419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/03 19:05:00 - mmengine - INFO - Epoch(train) [189][880/1879] lr: 1.0000e-04 eta: 10:02:55 time: 0.2876 data_time: 0.0208 memory: 8198 grad_norm: 7.2648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9837 loss: 0.9837 2022/08/03 19:05:06 - mmengine - INFO - Epoch(train) [189][900/1879] lr: 1.0000e-04 eta: 10:02:49 time: 0.2850 data_time: 0.0237 memory: 8198 grad_norm: 7.2409 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8466 loss: 0.8466 2022/08/03 19:05:12 - mmengine - INFO - Epoch(train) [189][920/1879] lr: 1.0000e-04 eta: 10:02:44 time: 0.2862 data_time: 0.0202 memory: 8198 grad_norm: 6.9622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8821 loss: 0.8821 2022/08/03 19:05:17 - mmengine - INFO - Epoch(train) [189][940/1879] lr: 1.0000e-04 eta: 10:02:38 time: 0.2858 data_time: 0.0205 memory: 8198 grad_norm: 6.8783 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9490 loss: 0.9490 2022/08/03 19:05:23 - mmengine - INFO - Epoch(train) [189][960/1879] lr: 1.0000e-04 eta: 10:02:32 time: 0.2891 data_time: 0.0196 memory: 8198 grad_norm: 7.2012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9652 loss: 0.9652 2022/08/03 19:05:29 - mmengine - INFO - Epoch(train) [189][980/1879] lr: 1.0000e-04 eta: 10:02:26 time: 0.2837 data_time: 0.0208 memory: 8198 grad_norm: 6.8583 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/08/03 19:05:35 - mmengine - INFO - Epoch(train) [189][1000/1879] lr: 1.0000e-04 eta: 10:02:21 time: 0.2839 data_time: 0.0287 memory: 8198 grad_norm: 7.1375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7891 loss: 0.7891 2022/08/03 19:05:40 - mmengine - INFO - Epoch(train) [189][1020/1879] lr: 1.0000e-04 eta: 10:02:15 time: 0.2892 data_time: 0.0220 memory: 8198 grad_norm: 7.1049 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8732 loss: 0.8732 2022/08/03 19:05:46 - mmengine - INFO - Epoch(train) [189][1040/1879] lr: 1.0000e-04 eta: 10:02:09 time: 0.2855 data_time: 0.0190 memory: 8198 grad_norm: 7.0835 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9842 loss: 0.9842 2022/08/03 19:05:52 - mmengine - INFO - Epoch(train) [189][1060/1879] lr: 1.0000e-04 eta: 10:02:04 time: 0.2866 data_time: 0.0210 memory: 8198 grad_norm: 6.9223 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0457 loss: 1.0457 2022/08/03 19:05:58 - mmengine - INFO - Epoch(train) [189][1080/1879] lr: 1.0000e-04 eta: 10:01:58 time: 0.2834 data_time: 0.0229 memory: 8198 grad_norm: 7.0091 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9365 loss: 0.9365 2022/08/03 19:06:03 - mmengine - INFO - Epoch(train) [189][1100/1879] lr: 1.0000e-04 eta: 10:01:52 time: 0.2884 data_time: 0.0221 memory: 8198 grad_norm: 7.1878 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0404 loss: 1.0404 2022/08/03 19:06:09 - mmengine - INFO - Epoch(train) [189][1120/1879] lr: 1.0000e-04 eta: 10:01:47 time: 0.2918 data_time: 0.0247 memory: 8198 grad_norm: 7.2972 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0729 loss: 1.0729 2022/08/03 19:06:15 - mmengine - INFO - Epoch(train) [189][1140/1879] lr: 1.0000e-04 eta: 10:01:41 time: 0.2848 data_time: 0.0220 memory: 8198 grad_norm: 7.2574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0518 loss: 1.0518 2022/08/03 19:06:21 - mmengine - INFO - Epoch(train) [189][1160/1879] lr: 1.0000e-04 eta: 10:01:35 time: 0.2877 data_time: 0.0235 memory: 8198 grad_norm: 7.0491 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9361 loss: 0.9361 2022/08/03 19:06:27 - mmengine - INFO - Epoch(train) [189][1180/1879] lr: 1.0000e-04 eta: 10:01:30 time: 0.2848 data_time: 0.0284 memory: 8198 grad_norm: 7.2030 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0972 loss: 1.0972 2022/08/03 19:06:32 - mmengine - INFO - Epoch(train) [189][1200/1879] lr: 1.0000e-04 eta: 10:01:24 time: 0.2858 data_time: 0.0225 memory: 8198 grad_norm: 7.1352 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1558 loss: 1.1558 2022/08/03 19:06:38 - mmengine - INFO - Epoch(train) [189][1220/1879] lr: 1.0000e-04 eta: 10:01:18 time: 0.2857 data_time: 0.0253 memory: 8198 grad_norm: 7.2230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9672 loss: 0.9672 2022/08/03 19:06:44 - mmengine - INFO - Epoch(train) [189][1240/1879] lr: 1.0000e-04 eta: 10:01:12 time: 0.2890 data_time: 0.0196 memory: 8198 grad_norm: 7.1120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8551 loss: 0.8551 2022/08/03 19:06:50 - mmengine - INFO - Epoch(train) [189][1260/1879] lr: 1.0000e-04 eta: 10:01:07 time: 0.2852 data_time: 0.0230 memory: 8198 grad_norm: 7.0683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8250 loss: 0.8250 2022/08/03 19:06:55 - mmengine - INFO - Epoch(train) [189][1280/1879] lr: 1.0000e-04 eta: 10:01:01 time: 0.2829 data_time: 0.0216 memory: 8198 grad_norm: 7.3539 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0112 loss: 1.0112 2022/08/03 19:07:01 - mmengine - INFO - Epoch(train) [189][1300/1879] lr: 1.0000e-04 eta: 10:00:55 time: 0.3011 data_time: 0.0236 memory: 8198 grad_norm: 7.0751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/03 19:07:07 - mmengine - INFO - Epoch(train) [189][1320/1879] lr: 1.0000e-04 eta: 10:00:50 time: 0.2858 data_time: 0.0208 memory: 8198 grad_norm: 7.1104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8397 loss: 0.8397 2022/08/03 19:07:13 - mmengine - INFO - Epoch(train) [189][1340/1879] lr: 1.0000e-04 eta: 10:00:44 time: 0.2944 data_time: 0.0293 memory: 8198 grad_norm: 7.3580 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8714 loss: 0.8714 2022/08/03 19:07:19 - mmengine - INFO - Epoch(train) [189][1360/1879] lr: 1.0000e-04 eta: 10:00:38 time: 0.2868 data_time: 0.0210 memory: 8198 grad_norm: 7.0845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/08/03 19:07:24 - mmengine - INFO - Epoch(train) [189][1380/1879] lr: 1.0000e-04 eta: 10:00:33 time: 0.2878 data_time: 0.0211 memory: 8198 grad_norm: 7.1188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9315 loss: 0.9315 2022/08/03 19:07:30 - mmengine - INFO - Epoch(train) [189][1400/1879] lr: 1.0000e-04 eta: 10:00:27 time: 0.2857 data_time: 0.0244 memory: 8198 grad_norm: 7.0707 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1724 loss: 1.1724 2022/08/03 19:07:36 - mmengine - INFO - Epoch(train) [189][1420/1879] lr: 1.0000e-04 eta: 10:00:21 time: 0.2879 data_time: 0.0276 memory: 8198 grad_norm: 7.2686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0201 loss: 1.0201 2022/08/03 19:07:42 - mmengine - INFO - Epoch(train) [189][1440/1879] lr: 1.0000e-04 eta: 10:00:16 time: 0.2892 data_time: 0.0186 memory: 8198 grad_norm: 7.2697 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1183 loss: 1.1183 2022/08/03 19:07:48 - mmengine - INFO - Epoch(train) [189][1460/1879] lr: 1.0000e-04 eta: 10:00:10 time: 0.2869 data_time: 0.0223 memory: 8198 grad_norm: 6.8809 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9742 loss: 0.9742 2022/08/03 19:07:53 - mmengine - INFO - Epoch(train) [189][1480/1879] lr: 1.0000e-04 eta: 10:00:04 time: 0.2854 data_time: 0.0249 memory: 8198 grad_norm: 7.1143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0534 loss: 1.0534 2022/08/03 19:07:59 - mmengine - INFO - Epoch(train) [189][1500/1879] lr: 1.0000e-04 eta: 9:59:59 time: 0.2882 data_time: 0.0182 memory: 8198 grad_norm: 6.9950 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0279 loss: 1.0279 2022/08/03 19:08:05 - mmengine - INFO - Epoch(train) [189][1520/1879] lr: 1.0000e-04 eta: 9:59:53 time: 0.2851 data_time: 0.0218 memory: 8198 grad_norm: 7.1170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9908 loss: 0.9908 2022/08/03 19:08:10 - mmengine - INFO - Epoch(train) [189][1540/1879] lr: 1.0000e-04 eta: 9:59:47 time: 0.2827 data_time: 0.0205 memory: 8198 grad_norm: 7.1366 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7682 loss: 0.7682 2022/08/03 19:08:16 - mmengine - INFO - Epoch(train) [189][1560/1879] lr: 1.0000e-04 eta: 9:59:41 time: 0.2847 data_time: 0.0184 memory: 8198 grad_norm: 7.2635 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1060 loss: 1.1060 2022/08/03 19:08:22 - mmengine - INFO - Epoch(train) [189][1580/1879] lr: 1.0000e-04 eta: 9:59:36 time: 0.3001 data_time: 0.0234 memory: 8198 grad_norm: 7.2927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/08/03 19:08:28 - mmengine - INFO - Epoch(train) [189][1600/1879] lr: 1.0000e-04 eta: 9:59:30 time: 0.2840 data_time: 0.0176 memory: 8198 grad_norm: 6.6847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0384 loss: 1.0384 2022/08/03 19:08:34 - mmengine - INFO - Epoch(train) [189][1620/1879] lr: 1.0000e-04 eta: 9:59:25 time: 0.2878 data_time: 0.0265 memory: 8198 grad_norm: 6.9200 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/03 19:08:39 - mmengine - INFO - Epoch(train) [189][1640/1879] lr: 1.0000e-04 eta: 9:59:19 time: 0.2873 data_time: 0.0295 memory: 8198 grad_norm: 7.3737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9097 loss: 0.9097 2022/08/03 19:08:45 - mmengine - INFO - Epoch(train) [189][1660/1879] lr: 1.0000e-04 eta: 9:59:13 time: 0.2862 data_time: 0.0242 memory: 8198 grad_norm: 7.2156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8100 loss: 0.8100 2022/08/03 19:08:51 - mmengine - INFO - Epoch(train) [189][1680/1879] lr: 1.0000e-04 eta: 9:59:07 time: 0.2933 data_time: 0.0251 memory: 8198 grad_norm: 7.1368 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8829 loss: 0.8829 2022/08/03 19:08:57 - mmengine - INFO - Epoch(train) [189][1700/1879] lr: 1.0000e-04 eta: 9:59:02 time: 0.2853 data_time: 0.0231 memory: 8198 grad_norm: 7.2351 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0295 loss: 1.0295 2022/08/03 19:09:03 - mmengine - INFO - Epoch(train) [189][1720/1879] lr: 1.0000e-04 eta: 9:58:56 time: 0.2930 data_time: 0.0258 memory: 8198 grad_norm: 6.8799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8325 loss: 0.8325 2022/08/03 19:09:08 - mmengine - INFO - Epoch(train) [189][1740/1879] lr: 1.0000e-04 eta: 9:58:50 time: 0.2852 data_time: 0.0247 memory: 8198 grad_norm: 7.1433 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/03 19:09:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:09:14 - mmengine - INFO - Epoch(train) [189][1760/1879] lr: 1.0000e-04 eta: 9:58:45 time: 0.2849 data_time: 0.0202 memory: 8198 grad_norm: 7.2626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1482 loss: 1.1482 2022/08/03 19:09:20 - mmengine - INFO - Epoch(train) [189][1780/1879] lr: 1.0000e-04 eta: 9:58:39 time: 0.2998 data_time: 0.0211 memory: 8198 grad_norm: 7.2374 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9431 loss: 0.9431 2022/08/03 19:09:26 - mmengine - INFO - Epoch(train) [189][1800/1879] lr: 1.0000e-04 eta: 9:58:33 time: 0.2844 data_time: 0.0258 memory: 8198 grad_norm: 6.9489 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0523 loss: 1.0523 2022/08/03 19:09:32 - mmengine - INFO - Epoch(train) [189][1820/1879] lr: 1.0000e-04 eta: 9:58:28 time: 0.2880 data_time: 0.0247 memory: 8198 grad_norm: 7.0343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0617 loss: 1.0617 2022/08/03 19:09:37 - mmengine - INFO - Epoch(train) [189][1840/1879] lr: 1.0000e-04 eta: 9:58:22 time: 0.2829 data_time: 0.0163 memory: 8198 grad_norm: 7.1247 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8861 loss: 0.8861 2022/08/03 19:09:43 - mmengine - INFO - Epoch(train) [189][1860/1879] lr: 1.0000e-04 eta: 9:58:16 time: 0.2883 data_time: 0.0211 memory: 8198 grad_norm: 7.1170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9529 loss: 0.9529 2022/08/03 19:09:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:09:48 - mmengine - INFO - Epoch(train) [189][1879/1879] lr: 1.0000e-04 eta: 9:58:16 time: 0.2582 data_time: 0.0124 memory: 8198 grad_norm: 7.2097 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0154 loss: 1.0154 2022/08/03 19:09:56 - mmengine - INFO - Epoch(train) [190][20/1879] lr: 1.0000e-04 eta: 9:58:04 time: 0.4015 data_time: 0.1236 memory: 8198 grad_norm: 6.9618 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0533 loss: 1.0533 2022/08/03 19:10:02 - mmengine - INFO - Epoch(train) [190][40/1879] lr: 1.0000e-04 eta: 9:57:59 time: 0.2944 data_time: 0.0253 memory: 8198 grad_norm: 7.3815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/08/03 19:10:08 - mmengine - INFO - Epoch(train) [190][60/1879] lr: 1.0000e-04 eta: 9:57:53 time: 0.3043 data_time: 0.0221 memory: 8198 grad_norm: 6.9753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/08/03 19:10:14 - mmengine - INFO - Epoch(train) [190][80/1879] lr: 1.0000e-04 eta: 9:57:47 time: 0.2891 data_time: 0.0175 memory: 8198 grad_norm: 7.2152 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1446 loss: 1.1446 2022/08/03 19:10:20 - mmengine - INFO - Epoch(train) [190][100/1879] lr: 1.0000e-04 eta: 9:57:42 time: 0.2960 data_time: 0.0280 memory: 8198 grad_norm: 7.0439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/08/03 19:10:26 - mmengine - INFO - Epoch(train) [190][120/1879] lr: 1.0000e-04 eta: 9:57:36 time: 0.2860 data_time: 0.0227 memory: 8198 grad_norm: 7.3045 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9932 loss: 0.9932 2022/08/03 19:10:31 - mmengine - INFO - Epoch(train) [190][140/1879] lr: 1.0000e-04 eta: 9:57:30 time: 0.2850 data_time: 0.0253 memory: 8198 grad_norm: 7.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8340 loss: 0.8340 2022/08/03 19:10:37 - mmengine - INFO - Epoch(train) [190][160/1879] lr: 1.0000e-04 eta: 9:57:25 time: 0.2867 data_time: 0.0288 memory: 8198 grad_norm: 7.0615 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8607 loss: 0.8607 2022/08/03 19:10:43 - mmengine - INFO - Epoch(train) [190][180/1879] lr: 1.0000e-04 eta: 9:57:19 time: 0.2866 data_time: 0.0247 memory: 8198 grad_norm: 7.0843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/08/03 19:10:49 - mmengine - INFO - Epoch(train) [190][200/1879] lr: 1.0000e-04 eta: 9:57:13 time: 0.2842 data_time: 0.0196 memory: 8198 grad_norm: 6.8232 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0351 loss: 1.0351 2022/08/03 19:10:54 - mmengine - INFO - Epoch(train) [190][220/1879] lr: 1.0000e-04 eta: 9:57:07 time: 0.2873 data_time: 0.0208 memory: 8198 grad_norm: 7.0611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/03 19:11:00 - mmengine - INFO - Epoch(train) [190][240/1879] lr: 1.0000e-04 eta: 9:57:02 time: 0.2823 data_time: 0.0182 memory: 8198 grad_norm: 7.0760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9371 loss: 0.9371 2022/08/03 19:11:06 - mmengine - INFO - Epoch(train) [190][260/1879] lr: 1.0000e-04 eta: 9:56:56 time: 0.2885 data_time: 0.0260 memory: 8198 grad_norm: 7.0824 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0069 loss: 1.0069 2022/08/03 19:11:12 - mmengine - INFO - Epoch(train) [190][280/1879] lr: 1.0000e-04 eta: 9:56:50 time: 0.2860 data_time: 0.0234 memory: 8198 grad_norm: 7.1506 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0630 loss: 1.0630 2022/08/03 19:11:17 - mmengine - INFO - Epoch(train) [190][300/1879] lr: 1.0000e-04 eta: 9:56:45 time: 0.2876 data_time: 0.0253 memory: 8198 grad_norm: 7.1148 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9591 loss: 0.9591 2022/08/03 19:11:23 - mmengine - INFO - Epoch(train) [190][320/1879] lr: 1.0000e-04 eta: 9:56:39 time: 0.2909 data_time: 0.0205 memory: 8198 grad_norm: 6.9588 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1076 loss: 1.1076 2022/08/03 19:11:29 - mmengine - INFO - Epoch(train) [190][340/1879] lr: 1.0000e-04 eta: 9:56:33 time: 0.2843 data_time: 0.0220 memory: 8198 grad_norm: 6.9368 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8142 loss: 0.8142 2022/08/03 19:11:35 - mmengine - INFO - Epoch(train) [190][360/1879] lr: 1.0000e-04 eta: 9:56:28 time: 0.2920 data_time: 0.0276 memory: 8198 grad_norm: 7.0966 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0673 loss: 1.0673 2022/08/03 19:11:41 - mmengine - INFO - Epoch(train) [190][380/1879] lr: 1.0000e-04 eta: 9:56:22 time: 0.2968 data_time: 0.0252 memory: 8198 grad_norm: 7.0671 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8555 loss: 0.8555 2022/08/03 19:11:47 - mmengine - INFO - Epoch(train) [190][400/1879] lr: 1.0000e-04 eta: 9:56:16 time: 0.2851 data_time: 0.0208 memory: 8198 grad_norm: 7.2379 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0174 loss: 1.0174 2022/08/03 19:11:52 - mmengine - INFO - Epoch(train) [190][420/1879] lr: 1.0000e-04 eta: 9:56:11 time: 0.2903 data_time: 0.0322 memory: 8198 grad_norm: 6.9767 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/03 19:11:58 - mmengine - INFO - Epoch(train) [190][440/1879] lr: 1.0000e-04 eta: 9:56:05 time: 0.2843 data_time: 0.0176 memory: 8198 grad_norm: 7.0894 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9177 loss: 0.9177 2022/08/03 19:12:04 - mmengine - INFO - Epoch(train) [190][460/1879] lr: 1.0000e-04 eta: 9:55:59 time: 0.3023 data_time: 0.0240 memory: 8198 grad_norm: 7.3067 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9567 loss: 0.9567 2022/08/03 19:12:10 - mmengine - INFO - Epoch(train) [190][480/1879] lr: 1.0000e-04 eta: 9:55:54 time: 0.2913 data_time: 0.0199 memory: 8198 grad_norm: 7.1167 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0725 loss: 1.0725 2022/08/03 19:12:16 - mmengine - INFO - Epoch(train) [190][500/1879] lr: 1.0000e-04 eta: 9:55:48 time: 0.2866 data_time: 0.0261 memory: 8198 grad_norm: 6.8975 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8690 loss: 0.8690 2022/08/03 19:12:22 - mmengine - INFO - Epoch(train) [190][520/1879] lr: 1.0000e-04 eta: 9:55:42 time: 0.2843 data_time: 0.0235 memory: 8198 grad_norm: 6.9094 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9095 loss: 0.9095 2022/08/03 19:12:27 - mmengine - INFO - Epoch(train) [190][540/1879] lr: 1.0000e-04 eta: 9:55:37 time: 0.2868 data_time: 0.0236 memory: 8198 grad_norm: 7.1449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0577 loss: 1.0577 2022/08/03 19:12:33 - mmengine - INFO - Epoch(train) [190][560/1879] lr: 1.0000e-04 eta: 9:55:31 time: 0.2862 data_time: 0.0231 memory: 8198 grad_norm: 7.2336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2278 loss: 1.2278 2022/08/03 19:12:39 - mmengine - INFO - Epoch(train) [190][580/1879] lr: 1.0000e-04 eta: 9:55:25 time: 0.2861 data_time: 0.0225 memory: 8198 grad_norm: 7.1410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0651 loss: 1.0651 2022/08/03 19:12:45 - mmengine - INFO - Epoch(train) [190][600/1879] lr: 1.0000e-04 eta: 9:55:20 time: 0.2859 data_time: 0.0194 memory: 8198 grad_norm: 7.0628 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9073 loss: 0.9073 2022/08/03 19:12:50 - mmengine - INFO - Epoch(train) [190][620/1879] lr: 1.0000e-04 eta: 9:55:14 time: 0.2879 data_time: 0.0219 memory: 8198 grad_norm: 7.1000 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0098 loss: 1.0098 2022/08/03 19:12:56 - mmengine - INFO - Epoch(train) [190][640/1879] lr: 1.0000e-04 eta: 9:55:08 time: 0.2830 data_time: 0.0188 memory: 8198 grad_norm: 7.0676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9111 loss: 0.9111 2022/08/03 19:13:02 - mmengine - INFO - Epoch(train) [190][660/1879] lr: 1.0000e-04 eta: 9:55:02 time: 0.2894 data_time: 0.0266 memory: 8198 grad_norm: 7.2520 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0414 loss: 1.0414 2022/08/03 19:13:08 - mmengine - INFO - Epoch(train) [190][680/1879] lr: 1.0000e-04 eta: 9:54:57 time: 0.2852 data_time: 0.0238 memory: 8198 grad_norm: 7.0834 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0235 loss: 1.0235 2022/08/03 19:13:13 - mmengine - INFO - Epoch(train) [190][700/1879] lr: 1.0000e-04 eta: 9:54:51 time: 0.2847 data_time: 0.0228 memory: 8198 grad_norm: 6.8525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/08/03 19:13:19 - mmengine - INFO - Epoch(train) [190][720/1879] lr: 1.0000e-04 eta: 9:54:45 time: 0.2841 data_time: 0.0210 memory: 8198 grad_norm: 6.8570 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8849 loss: 0.8849 2022/08/03 19:13:25 - mmengine - INFO - Epoch(train) [190][740/1879] lr: 1.0000e-04 eta: 9:54:40 time: 0.2948 data_time: 0.0275 memory: 8198 grad_norm: 7.1131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/08/03 19:13:31 - mmengine - INFO - Epoch(train) [190][760/1879] lr: 1.0000e-04 eta: 9:54:34 time: 0.2821 data_time: 0.0175 memory: 8198 grad_norm: 7.1909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/08/03 19:13:36 - mmengine - INFO - Epoch(train) [190][780/1879] lr: 1.0000e-04 eta: 9:54:28 time: 0.2880 data_time: 0.0255 memory: 8198 grad_norm: 7.0614 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9687 loss: 0.9687 2022/08/03 19:13:42 - mmengine - INFO - Epoch(train) [190][800/1879] lr: 1.0000e-04 eta: 9:54:23 time: 0.2889 data_time: 0.0223 memory: 8198 grad_norm: 6.9517 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0562 loss: 1.0562 2022/08/03 19:13:48 - mmengine - INFO - Epoch(train) [190][820/1879] lr: 1.0000e-04 eta: 9:54:17 time: 0.2892 data_time: 0.0255 memory: 8198 grad_norm: 7.0744 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/03 19:13:54 - mmengine - INFO - Epoch(train) [190][840/1879] lr: 1.0000e-04 eta: 9:54:11 time: 0.2849 data_time: 0.0196 memory: 8198 grad_norm: 7.3111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2616 loss: 1.2616 2022/08/03 19:14:00 - mmengine - INFO - Epoch(train) [190][860/1879] lr: 1.0000e-04 eta: 9:54:06 time: 0.2922 data_time: 0.0224 memory: 8198 grad_norm: 6.9914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0607 loss: 1.0607 2022/08/03 19:14:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:14:05 - mmengine - INFO - Epoch(train) [190][880/1879] lr: 1.0000e-04 eta: 9:54:00 time: 0.2925 data_time: 0.0254 memory: 8198 grad_norm: 7.0757 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8369 loss: 0.8369 2022/08/03 19:14:11 - mmengine - INFO - Epoch(train) [190][900/1879] lr: 1.0000e-04 eta: 9:53:54 time: 0.2855 data_time: 0.0254 memory: 8198 grad_norm: 6.9447 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/08/03 19:14:17 - mmengine - INFO - Epoch(train) [190][920/1879] lr: 1.0000e-04 eta: 9:53:49 time: 0.2851 data_time: 0.0234 memory: 8198 grad_norm: 7.1686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8976 loss: 0.8976 2022/08/03 19:14:23 - mmengine - INFO - Epoch(train) [190][940/1879] lr: 1.0000e-04 eta: 9:53:43 time: 0.2841 data_time: 0.0240 memory: 8198 grad_norm: 7.2696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9108 loss: 0.9108 2022/08/03 19:14:28 - mmengine - INFO - Epoch(train) [190][960/1879] lr: 1.0000e-04 eta: 9:53:37 time: 0.2842 data_time: 0.0220 memory: 8198 grad_norm: 6.9688 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9598 loss: 0.9598 2022/08/03 19:14:34 - mmengine - INFO - Epoch(train) [190][980/1879] lr: 1.0000e-04 eta: 9:53:31 time: 0.2869 data_time: 0.0216 memory: 8198 grad_norm: 7.1016 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9881 loss: 0.9881 2022/08/03 19:14:40 - mmengine - INFO - Epoch(train) [190][1000/1879] lr: 1.0000e-04 eta: 9:53:26 time: 0.3023 data_time: 0.0217 memory: 8198 grad_norm: 6.8405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/08/03 19:14:46 - mmengine - INFO - Epoch(train) [190][1020/1879] lr: 1.0000e-04 eta: 9:53:20 time: 0.2832 data_time: 0.0208 memory: 8198 grad_norm: 7.2259 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7828 loss: 0.7828 2022/08/03 19:14:52 - mmengine - INFO - Epoch(train) [190][1040/1879] lr: 1.0000e-04 eta: 9:53:15 time: 0.2943 data_time: 0.0248 memory: 8198 grad_norm: 6.8334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/08/03 19:14:58 - mmengine - INFO - Epoch(train) [190][1060/1879] lr: 1.0000e-04 eta: 9:53:09 time: 0.2851 data_time: 0.0217 memory: 8198 grad_norm: 7.2632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8504 loss: 0.8504 2022/08/03 19:15:06 - mmengine - INFO - Epoch(train) [190][1080/1879] lr: 1.0000e-04 eta: 9:53:04 time: 0.4472 data_time: 0.0197 memory: 8198 grad_norm: 7.2385 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0690 loss: 1.0690 2022/08/03 19:15:12 - mmengine - INFO - Epoch(train) [190][1100/1879] lr: 1.0000e-04 eta: 9:52:59 time: 0.2889 data_time: 0.0255 memory: 8198 grad_norm: 7.1587 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9312 loss: 0.9312 2022/08/03 19:15:18 - mmengine - INFO - Epoch(train) [190][1120/1879] lr: 1.0000e-04 eta: 9:52:53 time: 0.2870 data_time: 0.0226 memory: 8198 grad_norm: 6.9015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8829 loss: 0.8829 2022/08/03 19:15:24 - mmengine - INFO - Epoch(train) [190][1140/1879] lr: 1.0000e-04 eta: 9:52:47 time: 0.2868 data_time: 0.0214 memory: 8198 grad_norm: 7.0030 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8776 loss: 0.8776 2022/08/03 19:15:30 - mmengine - INFO - Epoch(train) [190][1160/1879] lr: 1.0000e-04 eta: 9:52:42 time: 0.2942 data_time: 0.0205 memory: 8198 grad_norm: 7.2502 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9857 loss: 0.9857 2022/08/03 19:15:36 - mmengine - INFO - Epoch(train) [190][1180/1879] lr: 1.0000e-04 eta: 9:52:36 time: 0.2909 data_time: 0.0233 memory: 8198 grad_norm: 7.1947 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0376 loss: 1.0376 2022/08/03 19:15:41 - mmengine - INFO - Epoch(train) [190][1200/1879] lr: 1.0000e-04 eta: 9:52:30 time: 0.2857 data_time: 0.0205 memory: 8198 grad_norm: 7.2392 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8660 loss: 0.8660 2022/08/03 19:15:47 - mmengine - INFO - Epoch(train) [190][1220/1879] lr: 1.0000e-04 eta: 9:52:25 time: 0.2857 data_time: 0.0234 memory: 8198 grad_norm: 7.1533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8572 loss: 0.8572 2022/08/03 19:15:53 - mmengine - INFO - Epoch(train) [190][1240/1879] lr: 1.0000e-04 eta: 9:52:19 time: 0.2869 data_time: 0.0292 memory: 8198 grad_norm: 7.2570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1047 loss: 1.1047 2022/08/03 19:15:59 - mmengine - INFO - Epoch(train) [190][1260/1879] lr: 1.0000e-04 eta: 9:52:13 time: 0.2844 data_time: 0.0219 memory: 8198 grad_norm: 7.0244 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9467 loss: 0.9467 2022/08/03 19:16:04 - mmengine - INFO - Epoch(train) [190][1280/1879] lr: 1.0000e-04 eta: 9:52:07 time: 0.2856 data_time: 0.0224 memory: 8198 grad_norm: 7.1170 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0441 loss: 1.0441 2022/08/03 19:16:10 - mmengine - INFO - Epoch(train) [190][1300/1879] lr: 1.0000e-04 eta: 9:52:02 time: 0.2917 data_time: 0.0256 memory: 8198 grad_norm: 7.0397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/08/03 19:16:16 - mmengine - INFO - Epoch(train) [190][1320/1879] lr: 1.0000e-04 eta: 9:51:56 time: 0.2886 data_time: 0.0206 memory: 8198 grad_norm: 7.1941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9374 loss: 0.9374 2022/08/03 19:16:22 - mmengine - INFO - Epoch(train) [190][1340/1879] lr: 1.0000e-04 eta: 9:51:50 time: 0.2861 data_time: 0.0226 memory: 8198 grad_norm: 7.1960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8244 loss: 0.8244 2022/08/03 19:16:27 - mmengine - INFO - Epoch(train) [190][1360/1879] lr: 1.0000e-04 eta: 9:51:45 time: 0.2865 data_time: 0.0251 memory: 8198 grad_norm: 7.2405 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1540 loss: 1.1540 2022/08/03 19:16:33 - mmengine - INFO - Epoch(train) [190][1380/1879] lr: 1.0000e-04 eta: 9:51:39 time: 0.2949 data_time: 0.0248 memory: 8198 grad_norm: 7.2239 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/08/03 19:16:39 - mmengine - INFO - Epoch(train) [190][1400/1879] lr: 1.0000e-04 eta: 9:51:33 time: 0.2841 data_time: 0.0203 memory: 8198 grad_norm: 6.8718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8780 loss: 0.8780 2022/08/03 19:16:45 - mmengine - INFO - Epoch(train) [190][1420/1879] lr: 1.0000e-04 eta: 9:51:28 time: 0.2847 data_time: 0.0239 memory: 8198 grad_norm: 7.1208 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9820 loss: 0.9820 2022/08/03 19:16:51 - mmengine - INFO - Epoch(train) [190][1440/1879] lr: 1.0000e-04 eta: 9:51:22 time: 0.2919 data_time: 0.0225 memory: 8198 grad_norm: 7.2059 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8498 loss: 0.8498 2022/08/03 19:16:57 - mmengine - INFO - Epoch(train) [190][1460/1879] lr: 1.0000e-04 eta: 9:51:16 time: 0.2986 data_time: 0.0251 memory: 8198 grad_norm: 7.2131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0097 loss: 1.0097 2022/08/03 19:17:02 - mmengine - INFO - Epoch(train) [190][1480/1879] lr: 1.0000e-04 eta: 9:51:11 time: 0.2827 data_time: 0.0198 memory: 8198 grad_norm: 7.1170 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9435 loss: 0.9435 2022/08/03 19:17:08 - mmengine - INFO - Epoch(train) [190][1500/1879] lr: 1.0000e-04 eta: 9:51:05 time: 0.2851 data_time: 0.0237 memory: 8198 grad_norm: 7.1622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8625 loss: 0.8625 2022/08/03 19:17:14 - mmengine - INFO - Epoch(train) [190][1520/1879] lr: 1.0000e-04 eta: 9:50:59 time: 0.2918 data_time: 0.0206 memory: 8198 grad_norm: 7.1656 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/08/03 19:17:20 - mmengine - INFO - Epoch(train) [190][1540/1879] lr: 1.0000e-04 eta: 9:50:54 time: 0.2870 data_time: 0.0259 memory: 8198 grad_norm: 6.8460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8928 loss: 0.8928 2022/08/03 19:17:25 - mmengine - INFO - Epoch(train) [190][1560/1879] lr: 1.0000e-04 eta: 9:50:48 time: 0.2883 data_time: 0.0257 memory: 8198 grad_norm: 7.0194 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8383 loss: 0.8383 2022/08/03 19:17:31 - mmengine - INFO - Epoch(train) [190][1580/1879] lr: 1.0000e-04 eta: 9:50:42 time: 0.2859 data_time: 0.0215 memory: 8198 grad_norm: 7.1218 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/03 19:17:37 - mmengine - INFO - Epoch(train) [190][1600/1879] lr: 1.0000e-04 eta: 9:50:37 time: 0.2919 data_time: 0.0345 memory: 8198 grad_norm: 7.1292 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8905 loss: 0.8905 2022/08/03 19:17:43 - mmengine - INFO - Epoch(train) [190][1620/1879] lr: 1.0000e-04 eta: 9:50:31 time: 0.2892 data_time: 0.0256 memory: 8198 grad_norm: 7.1156 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1414 loss: 1.1414 2022/08/03 19:17:49 - mmengine - INFO - Epoch(train) [190][1640/1879] lr: 1.0000e-04 eta: 9:50:25 time: 0.2850 data_time: 0.0277 memory: 8198 grad_norm: 7.1255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0034 loss: 1.0034 2022/08/03 19:17:54 - mmengine - INFO - Epoch(train) [190][1660/1879] lr: 1.0000e-04 eta: 9:50:20 time: 0.2851 data_time: 0.0232 memory: 8198 grad_norm: 6.9216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9508 loss: 0.9508 2022/08/03 19:18:00 - mmengine - INFO - Epoch(train) [190][1680/1879] lr: 1.0000e-04 eta: 9:50:14 time: 0.2921 data_time: 0.0263 memory: 8198 grad_norm: 7.2482 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8573 loss: 0.8573 2022/08/03 19:18:06 - mmengine - INFO - Epoch(train) [190][1700/1879] lr: 1.0000e-04 eta: 9:50:08 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 6.9702 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9598 loss: 0.9598 2022/08/03 19:18:12 - mmengine - INFO - Epoch(train) [190][1720/1879] lr: 1.0000e-04 eta: 9:50:02 time: 0.2883 data_time: 0.0240 memory: 8198 grad_norm: 7.1479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8626 loss: 0.8626 2022/08/03 19:18:18 - mmengine - INFO - Epoch(train) [190][1740/1879] lr: 1.0000e-04 eta: 9:49:57 time: 0.2876 data_time: 0.0245 memory: 8198 grad_norm: 7.0493 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8783 loss: 0.8783 2022/08/03 19:18:24 - mmengine - INFO - Epoch(train) [190][1760/1879] lr: 1.0000e-04 eta: 9:49:51 time: 0.3016 data_time: 0.0257 memory: 8198 grad_norm: 7.2331 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8592 loss: 0.8592 2022/08/03 19:18:29 - mmengine - INFO - Epoch(train) [190][1780/1879] lr: 1.0000e-04 eta: 9:49:46 time: 0.2833 data_time: 0.0230 memory: 8198 grad_norm: 7.2301 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1304 loss: 1.1304 2022/08/03 19:18:35 - mmengine - INFO - Epoch(train) [190][1800/1879] lr: 1.0000e-04 eta: 9:49:40 time: 0.2902 data_time: 0.0187 memory: 8198 grad_norm: 7.0446 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9324 loss: 0.9324 2022/08/03 19:18:41 - mmengine - INFO - Epoch(train) [190][1820/1879] lr: 1.0000e-04 eta: 9:49:34 time: 0.2950 data_time: 0.0207 memory: 8198 grad_norm: 6.8504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9063 loss: 0.9063 2022/08/03 19:18:47 - mmengine - INFO - Epoch(train) [190][1840/1879] lr: 1.0000e-04 eta: 9:49:29 time: 0.2853 data_time: 0.0209 memory: 8198 grad_norm: 6.9586 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/08/03 19:18:53 - mmengine - INFO - Epoch(train) [190][1860/1879] lr: 1.0000e-04 eta: 9:49:23 time: 0.2877 data_time: 0.0206 memory: 8198 grad_norm: 7.2539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0631 loss: 1.0631 2022/08/03 19:18:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:18:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:18:57 - mmengine - INFO - Epoch(train) [190][1879/1879] lr: 1.0000e-04 eta: 9:49:23 time: 0.2600 data_time: 0.0180 memory: 8198 grad_norm: 7.3593 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 0.9803 loss: 0.9803 2022/08/03 19:19:04 - mmengine - INFO - Epoch(val) [190][20/155] eta: 0:00:43 time: 0.3237 data_time: 0.2332 memory: 1514 2022/08/03 19:19:08 - mmengine - INFO - Epoch(val) [190][40/155] eta: 0:00:25 time: 0.2202 data_time: 0.1317 memory: 1514 2022/08/03 19:19:15 - mmengine - INFO - Epoch(val) [190][60/155] eta: 0:00:29 time: 0.3079 data_time: 0.2155 memory: 1514 2022/08/03 19:19:19 - mmengine - INFO - Epoch(val) [190][80/155] eta: 0:00:16 time: 0.2234 data_time: 0.1363 memory: 1514 2022/08/03 19:19:25 - mmengine - INFO - Epoch(val) [190][100/155] eta: 0:00:17 time: 0.3197 data_time: 0.2325 memory: 1514 2022/08/03 19:19:30 - mmengine - INFO - Epoch(val) [190][120/155] eta: 0:00:07 time: 0.2223 data_time: 0.1353 memory: 1514 2022/08/03 19:19:36 - mmengine - INFO - Epoch(val) [190][140/155] eta: 0:00:04 time: 0.2958 data_time: 0.2090 memory: 1514 2022/08/03 19:19:42 - mmengine - INFO - Epoch(val) [190][155/155] acc/top1: 0.6780 acc/top5: 0.8674 acc/mean1: 0.6779 2022/08/03 19:19:50 - mmengine - INFO - Epoch(train) [191][20/1879] lr: 1.0000e-04 eta: 9:49:11 time: 0.3925 data_time: 0.0968 memory: 8198 grad_norm: 7.2668 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0612 loss: 1.0612 2022/08/03 19:19:56 - mmengine - INFO - Epoch(train) [191][40/1879] lr: 1.0000e-04 eta: 9:49:05 time: 0.3066 data_time: 0.0209 memory: 8198 grad_norm: 6.9238 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9592 loss: 0.9592 2022/08/03 19:20:02 - mmengine - INFO - Epoch(train) [191][60/1879] lr: 1.0000e-04 eta: 9:48:59 time: 0.2993 data_time: 0.0296 memory: 8198 grad_norm: 7.1485 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0063 loss: 1.0063 2022/08/03 19:20:08 - mmengine - INFO - Epoch(train) [191][80/1879] lr: 1.0000e-04 eta: 9:48:54 time: 0.2859 data_time: 0.0211 memory: 8198 grad_norm: 7.1603 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0407 loss: 1.0407 2022/08/03 19:20:13 - mmengine - INFO - Epoch(train) [191][100/1879] lr: 1.0000e-04 eta: 9:48:48 time: 0.2852 data_time: 0.0264 memory: 8198 grad_norm: 7.2754 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0847 loss: 1.0847 2022/08/03 19:20:19 - mmengine - INFO - Epoch(train) [191][120/1879] lr: 1.0000e-04 eta: 9:48:42 time: 0.2871 data_time: 0.0272 memory: 8198 grad_norm: 7.1972 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9833 loss: 0.9833 2022/08/03 19:20:25 - mmengine - INFO - Epoch(train) [191][140/1879] lr: 1.0000e-04 eta: 9:48:37 time: 0.2843 data_time: 0.0214 memory: 8198 grad_norm: 7.1132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1346 loss: 1.1346 2022/08/03 19:20:31 - mmengine - INFO - Epoch(train) [191][160/1879] lr: 1.0000e-04 eta: 9:48:31 time: 0.2863 data_time: 0.0223 memory: 8198 grad_norm: 6.8609 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1196 loss: 1.1196 2022/08/03 19:20:36 - mmengine - INFO - Epoch(train) [191][180/1879] lr: 1.0000e-04 eta: 9:48:25 time: 0.2894 data_time: 0.0225 memory: 8198 grad_norm: 7.1357 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0277 loss: 1.0277 2022/08/03 19:20:42 - mmengine - INFO - Epoch(train) [191][200/1879] lr: 1.0000e-04 eta: 9:48:20 time: 0.2889 data_time: 0.0202 memory: 8198 grad_norm: 7.0794 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1280 loss: 1.1280 2022/08/03 19:20:48 - mmengine - INFO - Epoch(train) [191][220/1879] lr: 1.0000e-04 eta: 9:48:14 time: 0.2863 data_time: 0.0237 memory: 8198 grad_norm: 7.0698 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0652 loss: 1.0652 2022/08/03 19:20:54 - mmengine - INFO - Epoch(train) [191][240/1879] lr: 1.0000e-04 eta: 9:48:08 time: 0.2835 data_time: 0.0276 memory: 8198 grad_norm: 7.0847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0188 loss: 1.0188 2022/08/03 19:20:59 - mmengine - INFO - Epoch(train) [191][260/1879] lr: 1.0000e-04 eta: 9:48:02 time: 0.2861 data_time: 0.0234 memory: 8198 grad_norm: 7.1532 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9600 loss: 0.9600 2022/08/03 19:21:05 - mmengine - INFO - Epoch(train) [191][280/1879] lr: 1.0000e-04 eta: 9:47:57 time: 0.2950 data_time: 0.0199 memory: 8198 grad_norm: 6.9750 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9420 loss: 0.9420 2022/08/03 19:21:11 - mmengine - INFO - Epoch(train) [191][300/1879] lr: 1.0000e-04 eta: 9:47:51 time: 0.2861 data_time: 0.0229 memory: 8198 grad_norm: 7.2247 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9763 loss: 0.9763 2022/08/03 19:21:17 - mmengine - INFO - Epoch(train) [191][320/1879] lr: 1.0000e-04 eta: 9:47:45 time: 0.2868 data_time: 0.0188 memory: 8198 grad_norm: 7.0717 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1192 loss: 1.1192 2022/08/03 19:21:23 - mmengine - INFO - Epoch(train) [191][340/1879] lr: 1.0000e-04 eta: 9:47:40 time: 0.3049 data_time: 0.0223 memory: 8198 grad_norm: 7.5261 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0501 loss: 1.0501 2022/08/03 19:21:29 - mmengine - INFO - Epoch(train) [191][360/1879] lr: 1.0000e-04 eta: 9:47:34 time: 0.2812 data_time: 0.0174 memory: 8198 grad_norm: 7.0306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/03 19:21:34 - mmengine - INFO - Epoch(train) [191][380/1879] lr: 1.0000e-04 eta: 9:47:28 time: 0.2875 data_time: 0.0220 memory: 8198 grad_norm: 7.0728 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8210 loss: 0.8210 2022/08/03 19:21:40 - mmengine - INFO - Epoch(train) [191][400/1879] lr: 1.0000e-04 eta: 9:47:23 time: 0.2859 data_time: 0.0263 memory: 8198 grad_norm: 7.4048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/08/03 19:21:46 - mmengine - INFO - Epoch(train) [191][420/1879] lr: 1.0000e-04 eta: 9:47:17 time: 0.2879 data_time: 0.0186 memory: 8198 grad_norm: 7.0696 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8903 loss: 0.8903 2022/08/03 19:21:52 - mmengine - INFO - Epoch(train) [191][440/1879] lr: 1.0000e-04 eta: 9:47:11 time: 0.2836 data_time: 0.0192 memory: 8198 grad_norm: 7.2961 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1134 loss: 1.1134 2022/08/03 19:21:57 - mmengine - INFO - Epoch(train) [191][460/1879] lr: 1.0000e-04 eta: 9:47:06 time: 0.2874 data_time: 0.0248 memory: 8198 grad_norm: 7.1819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0253 loss: 1.0253 2022/08/03 19:22:03 - mmengine - INFO - Epoch(train) [191][480/1879] lr: 1.0000e-04 eta: 9:47:00 time: 0.2877 data_time: 0.0249 memory: 8198 grad_norm: 6.8493 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9261 loss: 0.9261 2022/08/03 19:22:09 - mmengine - INFO - Epoch(train) [191][500/1879] lr: 1.0000e-04 eta: 9:46:54 time: 0.2855 data_time: 0.0229 memory: 8198 grad_norm: 7.0611 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0495 loss: 1.0495 2022/08/03 19:22:15 - mmengine - INFO - Epoch(train) [191][520/1879] lr: 1.0000e-04 eta: 9:46:49 time: 0.2849 data_time: 0.0194 memory: 8198 grad_norm: 6.8804 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0068 loss: 1.0068 2022/08/03 19:22:20 - mmengine - INFO - Epoch(train) [191][540/1879] lr: 1.0000e-04 eta: 9:46:43 time: 0.2892 data_time: 0.0265 memory: 8198 grad_norm: 7.1063 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8935 loss: 0.8935 2022/08/03 19:22:26 - mmengine - INFO - Epoch(train) [191][560/1879] lr: 1.0000e-04 eta: 9:46:37 time: 0.2880 data_time: 0.0219 memory: 8198 grad_norm: 7.1922 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0436 loss: 1.0436 2022/08/03 19:22:32 - mmengine - INFO - Epoch(train) [191][580/1879] lr: 1.0000e-04 eta: 9:46:32 time: 0.2865 data_time: 0.0260 memory: 8198 grad_norm: 7.1954 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1251 loss: 1.1251 2022/08/03 19:22:38 - mmengine - INFO - Epoch(train) [191][600/1879] lr: 1.0000e-04 eta: 9:46:26 time: 0.2860 data_time: 0.0221 memory: 8198 grad_norm: 7.1057 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9417 loss: 0.9417 2022/08/03 19:22:43 - mmengine - INFO - Epoch(train) [191][620/1879] lr: 1.0000e-04 eta: 9:46:20 time: 0.2880 data_time: 0.0228 memory: 8198 grad_norm: 7.3506 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9917 loss: 0.9917 2022/08/03 19:22:49 - mmengine - INFO - Epoch(train) [191][640/1879] lr: 1.0000e-04 eta: 9:46:14 time: 0.2853 data_time: 0.0207 memory: 8198 grad_norm: 7.2169 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0768 loss: 1.0768 2022/08/03 19:22:55 - mmengine - INFO - Epoch(train) [191][660/1879] lr: 1.0000e-04 eta: 9:46:09 time: 0.2860 data_time: 0.0241 memory: 8198 grad_norm: 7.0311 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8866 loss: 0.8866 2022/08/03 19:23:01 - mmengine - INFO - Epoch(train) [191][680/1879] lr: 1.0000e-04 eta: 9:46:03 time: 0.2918 data_time: 0.0238 memory: 8198 grad_norm: 7.0168 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9783 loss: 0.9783 2022/08/03 19:23:07 - mmengine - INFO - Epoch(train) [191][700/1879] lr: 1.0000e-04 eta: 9:45:57 time: 0.2877 data_time: 0.0208 memory: 8198 grad_norm: 7.0276 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0866 loss: 1.0866 2022/08/03 19:23:12 - mmengine - INFO - Epoch(train) [191][720/1879] lr: 1.0000e-04 eta: 9:45:52 time: 0.2859 data_time: 0.0281 memory: 8198 grad_norm: 7.0746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9670 loss: 0.9670 2022/08/03 19:23:18 - mmengine - INFO - Epoch(train) [191][740/1879] lr: 1.0000e-04 eta: 9:45:46 time: 0.2854 data_time: 0.0208 memory: 8198 grad_norm: 7.1055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0359 loss: 1.0359 2022/08/03 19:23:24 - mmengine - INFO - Epoch(train) [191][760/1879] lr: 1.0000e-04 eta: 9:45:40 time: 0.2897 data_time: 0.0215 memory: 8198 grad_norm: 7.2161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9719 loss: 0.9719 2022/08/03 19:23:30 - mmengine - INFO - Epoch(train) [191][780/1879] lr: 1.0000e-04 eta: 9:45:35 time: 0.2896 data_time: 0.0268 memory: 8198 grad_norm: 7.4357 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.0873 loss: 1.0873 2022/08/03 19:23:35 - mmengine - INFO - Epoch(train) [191][800/1879] lr: 1.0000e-04 eta: 9:45:29 time: 0.2843 data_time: 0.0243 memory: 8198 grad_norm: 7.3235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0830 loss: 1.0830 2022/08/03 19:23:41 - mmengine - INFO - Epoch(train) [191][820/1879] lr: 1.0000e-04 eta: 9:45:23 time: 0.2901 data_time: 0.0240 memory: 8198 grad_norm: 7.0477 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9251 loss: 0.9251 2022/08/03 19:23:47 - mmengine - INFO - Epoch(train) [191][840/1879] lr: 1.0000e-04 eta: 9:45:18 time: 0.2835 data_time: 0.0197 memory: 8198 grad_norm: 6.9686 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8585 loss: 0.8585 2022/08/03 19:23:53 - mmengine - INFO - Epoch(train) [191][860/1879] lr: 1.0000e-04 eta: 9:45:12 time: 0.2889 data_time: 0.0247 memory: 8198 grad_norm: 6.9585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/08/03 19:23:59 - mmengine - INFO - Epoch(train) [191][880/1879] lr: 1.0000e-04 eta: 9:45:06 time: 0.2872 data_time: 0.0215 memory: 8198 grad_norm: 6.9291 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8168 loss: 0.8168 2022/08/03 19:24:04 - mmengine - INFO - Epoch(train) [191][900/1879] lr: 1.0000e-04 eta: 9:45:01 time: 0.2853 data_time: 0.0220 memory: 8198 grad_norm: 7.2476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8341 loss: 0.8341 2022/08/03 19:24:10 - mmengine - INFO - Epoch(train) [191][920/1879] lr: 1.0000e-04 eta: 9:44:55 time: 0.2854 data_time: 0.0219 memory: 8198 grad_norm: 7.1681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8839 loss: 0.8839 2022/08/03 19:24:16 - mmengine - INFO - Epoch(train) [191][940/1879] lr: 1.0000e-04 eta: 9:44:49 time: 0.2951 data_time: 0.0264 memory: 8198 grad_norm: 7.2345 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9403 loss: 0.9403 2022/08/03 19:24:22 - mmengine - INFO - Epoch(train) [191][960/1879] lr: 1.0000e-04 eta: 9:44:44 time: 0.2854 data_time: 0.0193 memory: 8198 grad_norm: 7.0003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8857 loss: 0.8857 2022/08/03 19:24:27 - mmengine - INFO - Epoch(train) [191][980/1879] lr: 1.0000e-04 eta: 9:44:38 time: 0.2851 data_time: 0.0266 memory: 8198 grad_norm: 6.8946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7304 loss: 0.7304 2022/08/03 19:24:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:24:33 - mmengine - INFO - Epoch(train) [191][1000/1879] lr: 1.0000e-04 eta: 9:44:32 time: 0.2938 data_time: 0.0254 memory: 8198 grad_norm: 7.2230 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8913 loss: 0.8913 2022/08/03 19:24:39 - mmengine - INFO - Epoch(train) [191][1020/1879] lr: 1.0000e-04 eta: 9:44:26 time: 0.2840 data_time: 0.0209 memory: 8198 grad_norm: 6.9587 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9434 loss: 0.9434 2022/08/03 19:24:45 - mmengine - INFO - Epoch(train) [191][1040/1879] lr: 1.0000e-04 eta: 9:44:21 time: 0.2926 data_time: 0.0334 memory: 8198 grad_norm: 7.2732 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/08/03 19:24:51 - mmengine - INFO - Epoch(train) [191][1060/1879] lr: 1.0000e-04 eta: 9:44:15 time: 0.2856 data_time: 0.0222 memory: 8198 grad_norm: 7.1027 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/08/03 19:24:56 - mmengine - INFO - Epoch(train) [191][1080/1879] lr: 1.0000e-04 eta: 9:44:09 time: 0.2885 data_time: 0.0232 memory: 8198 grad_norm: 7.2177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/08/03 19:25:02 - mmengine - INFO - Epoch(train) [191][1100/1879] lr: 1.0000e-04 eta: 9:44:04 time: 0.2883 data_time: 0.0230 memory: 8198 grad_norm: 7.0667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9040 loss: 0.9040 2022/08/03 19:25:08 - mmengine - INFO - Epoch(train) [191][1120/1879] lr: 1.0000e-04 eta: 9:43:58 time: 0.2896 data_time: 0.0225 memory: 8198 grad_norm: 7.3906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2544 loss: 1.2544 2022/08/03 19:25:14 - mmengine - INFO - Epoch(train) [191][1140/1879] lr: 1.0000e-04 eta: 9:43:52 time: 0.2850 data_time: 0.0240 memory: 8198 grad_norm: 7.2222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9207 loss: 0.9207 2022/08/03 19:25:19 - mmengine - INFO - Epoch(train) [191][1160/1879] lr: 1.0000e-04 eta: 9:43:47 time: 0.2842 data_time: 0.0187 memory: 8198 grad_norm: 7.2287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9170 loss: 0.9170 2022/08/03 19:25:25 - mmengine - INFO - Epoch(train) [191][1180/1879] lr: 1.0000e-04 eta: 9:43:41 time: 0.2894 data_time: 0.0218 memory: 8198 grad_norm: 7.1980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9894 loss: 0.9894 2022/08/03 19:25:31 - mmengine - INFO - Epoch(train) [191][1200/1879] lr: 1.0000e-04 eta: 9:43:35 time: 0.2836 data_time: 0.0168 memory: 8198 grad_norm: 7.1562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9920 loss: 0.9920 2022/08/03 19:25:37 - mmengine - INFO - Epoch(train) [191][1220/1879] lr: 1.0000e-04 eta: 9:43:30 time: 0.2914 data_time: 0.0231 memory: 8198 grad_norm: 7.1506 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8169 loss: 0.8169 2022/08/03 19:25:43 - mmengine - INFO - Epoch(train) [191][1240/1879] lr: 1.0000e-04 eta: 9:43:24 time: 0.2989 data_time: 0.0241 memory: 8198 grad_norm: 6.8700 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9912 loss: 0.9912 2022/08/03 19:25:49 - mmengine - INFO - Epoch(train) [191][1260/1879] lr: 1.0000e-04 eta: 9:43:18 time: 0.2852 data_time: 0.0200 memory: 8198 grad_norm: 7.1219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0496 loss: 1.0496 2022/08/03 19:25:54 - mmengine - INFO - Epoch(train) [191][1280/1879] lr: 1.0000e-04 eta: 9:43:13 time: 0.2849 data_time: 0.0211 memory: 8198 grad_norm: 7.1825 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0038 loss: 1.0038 2022/08/03 19:26:00 - mmengine - INFO - Epoch(train) [191][1300/1879] lr: 1.0000e-04 eta: 9:43:07 time: 0.2925 data_time: 0.0302 memory: 8198 grad_norm: 7.0533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/08/03 19:26:06 - mmengine - INFO - Epoch(train) [191][1320/1879] lr: 1.0000e-04 eta: 9:43:01 time: 0.2865 data_time: 0.0223 memory: 8198 grad_norm: 7.0466 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/08/03 19:26:12 - mmengine - INFO - Epoch(train) [191][1340/1879] lr: 1.0000e-04 eta: 9:42:56 time: 0.2865 data_time: 0.0233 memory: 8198 grad_norm: 7.1374 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9076 loss: 0.9076 2022/08/03 19:26:17 - mmengine - INFO - Epoch(train) [191][1360/1879] lr: 1.0000e-04 eta: 9:42:50 time: 0.2869 data_time: 0.0184 memory: 8198 grad_norm: 6.9311 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9820 loss: 0.9820 2022/08/03 19:26:23 - mmengine - INFO - Epoch(train) [191][1380/1879] lr: 1.0000e-04 eta: 9:42:44 time: 0.2887 data_time: 0.0216 memory: 8198 grad_norm: 6.9889 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9236 loss: 0.9236 2022/08/03 19:26:29 - mmengine - INFO - Epoch(train) [191][1400/1879] lr: 1.0000e-04 eta: 9:42:39 time: 0.2853 data_time: 0.0220 memory: 8198 grad_norm: 7.1311 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9488 loss: 0.9488 2022/08/03 19:26:35 - mmengine - INFO - Epoch(train) [191][1420/1879] lr: 1.0000e-04 eta: 9:42:33 time: 0.2842 data_time: 0.0207 memory: 8198 grad_norm: 7.0801 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/08/03 19:26:40 - mmengine - INFO - Epoch(train) [191][1440/1879] lr: 1.0000e-04 eta: 9:42:27 time: 0.2855 data_time: 0.0234 memory: 8198 grad_norm: 7.3141 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0641 loss: 1.0641 2022/08/03 19:26:46 - mmengine - INFO - Epoch(train) [191][1460/1879] lr: 1.0000e-04 eta: 9:42:21 time: 0.2922 data_time: 0.0266 memory: 8198 grad_norm: 7.1691 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0677 loss: 1.0677 2022/08/03 19:26:52 - mmengine - INFO - Epoch(train) [191][1480/1879] lr: 1.0000e-04 eta: 9:42:16 time: 0.2838 data_time: 0.0238 memory: 8198 grad_norm: 7.1161 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8994 loss: 0.8994 2022/08/03 19:26:58 - mmengine - INFO - Epoch(train) [191][1500/1879] lr: 1.0000e-04 eta: 9:42:10 time: 0.2836 data_time: 0.0212 memory: 8198 grad_norm: 7.2751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9756 loss: 0.9756 2022/08/03 19:27:04 - mmengine - INFO - Epoch(train) [191][1520/1879] lr: 1.0000e-04 eta: 9:42:04 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 7.1850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0347 loss: 1.0347 2022/08/03 19:27:09 - mmengine - INFO - Epoch(train) [191][1540/1879] lr: 1.0000e-04 eta: 9:41:59 time: 0.2975 data_time: 0.0175 memory: 8198 grad_norm: 7.1290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8285 loss: 0.8285 2022/08/03 19:27:15 - mmengine - INFO - Epoch(train) [191][1560/1879] lr: 1.0000e-04 eta: 9:41:53 time: 0.2832 data_time: 0.0233 memory: 8198 grad_norm: 7.0555 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8701 loss: 0.8701 2022/08/03 19:27:21 - mmengine - INFO - Epoch(train) [191][1580/1879] lr: 1.0000e-04 eta: 9:41:47 time: 0.2959 data_time: 0.0229 memory: 8198 grad_norm: 7.2702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/08/03 19:27:27 - mmengine - INFO - Epoch(train) [191][1600/1879] lr: 1.0000e-04 eta: 9:41:42 time: 0.2853 data_time: 0.0211 memory: 8198 grad_norm: 6.9449 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/08/03 19:27:33 - mmengine - INFO - Epoch(train) [191][1620/1879] lr: 1.0000e-04 eta: 9:41:36 time: 0.2927 data_time: 0.0242 memory: 8198 grad_norm: 7.1627 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9293 loss: 0.9293 2022/08/03 19:27:38 - mmengine - INFO - Epoch(train) [191][1640/1879] lr: 1.0000e-04 eta: 9:41:30 time: 0.2871 data_time: 0.0256 memory: 8198 grad_norm: 7.1077 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9555 loss: 0.9555 2022/08/03 19:27:44 - mmengine - INFO - Epoch(train) [191][1660/1879] lr: 1.0000e-04 eta: 9:41:25 time: 0.2941 data_time: 0.0275 memory: 8198 grad_norm: 7.0060 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/03 19:27:50 - mmengine - INFO - Epoch(train) [191][1680/1879] lr: 1.0000e-04 eta: 9:41:19 time: 0.2859 data_time: 0.0186 memory: 8198 grad_norm: 7.0418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8178 loss: 0.8178 2022/08/03 19:27:56 - mmengine - INFO - Epoch(train) [191][1700/1879] lr: 1.0000e-04 eta: 9:41:13 time: 0.2868 data_time: 0.0255 memory: 8198 grad_norm: 6.9484 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9249 loss: 0.9249 2022/08/03 19:28:02 - mmengine - INFO - Epoch(train) [191][1720/1879] lr: 1.0000e-04 eta: 9:41:08 time: 0.3030 data_time: 0.0263 memory: 8198 grad_norm: 7.0276 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8803 loss: 0.8803 2022/08/03 19:28:08 - mmengine - INFO - Epoch(train) [191][1740/1879] lr: 1.0000e-04 eta: 9:41:02 time: 0.2824 data_time: 0.0220 memory: 8198 grad_norm: 7.0349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9687 loss: 0.9687 2022/08/03 19:28:13 - mmengine - INFO - Epoch(train) [191][1760/1879] lr: 1.0000e-04 eta: 9:40:56 time: 0.2848 data_time: 0.0209 memory: 8198 grad_norm: 7.2500 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1183 loss: 1.1183 2022/08/03 19:28:19 - mmengine - INFO - Epoch(train) [191][1780/1879] lr: 1.0000e-04 eta: 9:40:51 time: 0.2864 data_time: 0.0223 memory: 8198 grad_norm: 6.9257 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0040 loss: 1.0040 2022/08/03 19:28:25 - mmengine - INFO - Epoch(train) [191][1800/1879] lr: 1.0000e-04 eta: 9:40:45 time: 0.2887 data_time: 0.0188 memory: 8198 grad_norm: 6.9779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/08/03 19:28:31 - mmengine - INFO - Epoch(train) [191][1820/1879] lr: 1.0000e-04 eta: 9:40:39 time: 0.2876 data_time: 0.0273 memory: 8198 grad_norm: 7.2184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0134 loss: 1.0134 2022/08/03 19:28:37 - mmengine - INFO - Epoch(train) [191][1840/1879] lr: 1.0000e-04 eta: 9:40:34 time: 0.2919 data_time: 0.0290 memory: 8198 grad_norm: 7.1679 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9991 loss: 0.9991 2022/08/03 19:28:42 - mmengine - INFO - Epoch(train) [191][1860/1879] lr: 1.0000e-04 eta: 9:40:28 time: 0.2871 data_time: 0.0260 memory: 8198 grad_norm: 7.0153 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9065 loss: 0.9065 2022/08/03 19:28:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:28:47 - mmengine - INFO - Epoch(train) [191][1879/1879] lr: 1.0000e-04 eta: 9:40:28 time: 0.2578 data_time: 0.0133 memory: 8198 grad_norm: 7.3991 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1996 loss: 1.1996 2022/08/03 19:28:57 - mmengine - INFO - Epoch(train) [192][20/1879] lr: 1.0000e-04 eta: 9:40:16 time: 0.4814 data_time: 0.1046 memory: 8198 grad_norm: 7.1529 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9120 loss: 0.9120 2022/08/03 19:29:03 - mmengine - INFO - Epoch(train) [192][40/1879] lr: 1.0000e-04 eta: 9:40:11 time: 0.2874 data_time: 0.0211 memory: 8198 grad_norm: 7.0313 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8582 loss: 0.8582 2022/08/03 19:29:09 - mmengine - INFO - Epoch(train) [192][60/1879] lr: 1.0000e-04 eta: 9:40:05 time: 0.2893 data_time: 0.0231 memory: 8198 grad_norm: 6.9508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9002 loss: 0.9002 2022/08/03 19:29:14 - mmengine - INFO - Epoch(train) [192][80/1879] lr: 1.0000e-04 eta: 9:39:59 time: 0.2887 data_time: 0.0211 memory: 8198 grad_norm: 7.0959 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0249 loss: 1.0249 2022/08/03 19:29:20 - mmengine - INFO - Epoch(train) [192][100/1879] lr: 1.0000e-04 eta: 9:39:54 time: 0.2856 data_time: 0.0237 memory: 8198 grad_norm: 6.9224 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9187 loss: 0.9187 2022/08/03 19:29:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:29:26 - mmengine - INFO - Epoch(train) [192][120/1879] lr: 1.0000e-04 eta: 9:39:48 time: 0.2914 data_time: 0.0207 memory: 8198 grad_norm: 7.0577 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1550 loss: 1.1550 2022/08/03 19:29:32 - mmengine - INFO - Epoch(train) [192][140/1879] lr: 1.0000e-04 eta: 9:39:42 time: 0.2883 data_time: 0.0245 memory: 8198 grad_norm: 6.8283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0359 loss: 1.0359 2022/08/03 19:29:38 - mmengine - INFO - Epoch(train) [192][160/1879] lr: 1.0000e-04 eta: 9:39:36 time: 0.2848 data_time: 0.0233 memory: 8198 grad_norm: 7.1692 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/08/03 19:29:43 - mmengine - INFO - Epoch(train) [192][180/1879] lr: 1.0000e-04 eta: 9:39:31 time: 0.2855 data_time: 0.0235 memory: 8198 grad_norm: 7.2672 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1668 loss: 1.1668 2022/08/03 19:29:49 - mmengine - INFO - Epoch(train) [192][200/1879] lr: 1.0000e-04 eta: 9:39:25 time: 0.2922 data_time: 0.0218 memory: 8198 grad_norm: 6.9067 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1087 loss: 1.1087 2022/08/03 19:29:55 - mmengine - INFO - Epoch(train) [192][220/1879] lr: 1.0000e-04 eta: 9:39:19 time: 0.2854 data_time: 0.0210 memory: 8198 grad_norm: 7.0301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8761 loss: 0.8761 2022/08/03 19:30:01 - mmengine - INFO - Epoch(train) [192][240/1879] lr: 1.0000e-04 eta: 9:39:14 time: 0.2840 data_time: 0.0226 memory: 8198 grad_norm: 7.0749 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/08/03 19:30:06 - mmengine - INFO - Epoch(train) [192][260/1879] lr: 1.0000e-04 eta: 9:39:08 time: 0.2867 data_time: 0.0232 memory: 8198 grad_norm: 7.2881 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9722 loss: 0.9722 2022/08/03 19:30:12 - mmengine - INFO - Epoch(train) [192][280/1879] lr: 1.0000e-04 eta: 9:39:02 time: 0.2872 data_time: 0.0226 memory: 8198 grad_norm: 7.2697 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9095 loss: 0.9095 2022/08/03 19:30:18 - mmengine - INFO - Epoch(train) [192][300/1879] lr: 1.0000e-04 eta: 9:38:57 time: 0.2868 data_time: 0.0247 memory: 8198 grad_norm: 7.2881 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9821 loss: 0.9821 2022/08/03 19:30:24 - mmengine - INFO - Epoch(train) [192][320/1879] lr: 1.0000e-04 eta: 9:38:51 time: 0.2832 data_time: 0.0192 memory: 8198 grad_norm: 7.0133 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9475 loss: 0.9475 2022/08/03 19:30:29 - mmengine - INFO - Epoch(train) [192][340/1879] lr: 1.0000e-04 eta: 9:38:45 time: 0.2869 data_time: 0.0227 memory: 8198 grad_norm: 7.1956 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8707 loss: 0.8707 2022/08/03 19:30:35 - mmengine - INFO - Epoch(train) [192][360/1879] lr: 1.0000e-04 eta: 9:38:40 time: 0.2872 data_time: 0.0239 memory: 8198 grad_norm: 6.9946 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8901 loss: 0.8901 2022/08/03 19:30:41 - mmengine - INFO - Epoch(train) [192][380/1879] lr: 1.0000e-04 eta: 9:38:34 time: 0.2871 data_time: 0.0240 memory: 8198 grad_norm: 6.9271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8999 loss: 0.8999 2022/08/03 19:30:47 - mmengine - INFO - Epoch(train) [192][400/1879] lr: 1.0000e-04 eta: 9:38:28 time: 0.2930 data_time: 0.0219 memory: 8198 grad_norm: 6.9261 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9995 loss: 0.9995 2022/08/03 19:30:53 - mmengine - INFO - Epoch(train) [192][420/1879] lr: 1.0000e-04 eta: 9:38:23 time: 0.2942 data_time: 0.0246 memory: 8198 grad_norm: 6.9840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0055 loss: 1.0055 2022/08/03 19:30:58 - mmengine - INFO - Epoch(train) [192][440/1879] lr: 1.0000e-04 eta: 9:38:17 time: 0.2842 data_time: 0.0185 memory: 8198 grad_norm: 7.0880 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8625 loss: 0.8625 2022/08/03 19:31:04 - mmengine - INFO - Epoch(train) [192][460/1879] lr: 1.0000e-04 eta: 9:38:11 time: 0.2861 data_time: 0.0231 memory: 8198 grad_norm: 7.2121 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1885 loss: 1.1885 2022/08/03 19:31:10 - mmengine - INFO - Epoch(train) [192][480/1879] lr: 1.0000e-04 eta: 9:38:05 time: 0.2850 data_time: 0.0223 memory: 8198 grad_norm: 7.0598 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9850 loss: 0.9850 2022/08/03 19:31:16 - mmengine - INFO - Epoch(train) [192][500/1879] lr: 1.0000e-04 eta: 9:38:00 time: 0.2857 data_time: 0.0215 memory: 8198 grad_norm: 7.2199 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9349 loss: 0.9349 2022/08/03 19:31:21 - mmengine - INFO - Epoch(train) [192][520/1879] lr: 1.0000e-04 eta: 9:37:54 time: 0.2858 data_time: 0.0226 memory: 8198 grad_norm: 7.0317 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8635 loss: 0.8635 2022/08/03 19:31:27 - mmengine - INFO - Epoch(train) [192][540/1879] lr: 1.0000e-04 eta: 9:37:48 time: 0.2856 data_time: 0.0250 memory: 8198 grad_norm: 7.0930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0437 loss: 1.0437 2022/08/03 19:31:33 - mmengine - INFO - Epoch(train) [192][560/1879] lr: 1.0000e-04 eta: 9:37:43 time: 0.2869 data_time: 0.0208 memory: 8198 grad_norm: 7.2437 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/08/03 19:31:39 - mmengine - INFO - Epoch(train) [192][580/1879] lr: 1.0000e-04 eta: 9:37:37 time: 0.2860 data_time: 0.0250 memory: 8198 grad_norm: 7.1200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0354 loss: 1.0354 2022/08/03 19:31:44 - mmengine - INFO - Epoch(train) [192][600/1879] lr: 1.0000e-04 eta: 9:37:31 time: 0.2859 data_time: 0.0204 memory: 8198 grad_norm: 7.3923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/08/03 19:31:50 - mmengine - INFO - Epoch(train) [192][620/1879] lr: 1.0000e-04 eta: 9:37:26 time: 0.2861 data_time: 0.0231 memory: 8198 grad_norm: 7.4745 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0055 loss: 1.0055 2022/08/03 19:31:56 - mmengine - INFO - Epoch(train) [192][640/1879] lr: 1.0000e-04 eta: 9:37:20 time: 0.2839 data_time: 0.0220 memory: 8198 grad_norm: 7.2809 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0243 loss: 1.0243 2022/08/03 19:32:02 - mmengine - INFO - Epoch(train) [192][660/1879] lr: 1.0000e-04 eta: 9:37:14 time: 0.2873 data_time: 0.0243 memory: 8198 grad_norm: 6.9383 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9988 loss: 0.9988 2022/08/03 19:32:07 - mmengine - INFO - Epoch(train) [192][680/1879] lr: 1.0000e-04 eta: 9:37:09 time: 0.2871 data_time: 0.0273 memory: 8198 grad_norm: 7.2757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0725 loss: 1.0725 2022/08/03 19:32:13 - mmengine - INFO - Epoch(train) [192][700/1879] lr: 1.0000e-04 eta: 9:37:03 time: 0.2838 data_time: 0.0253 memory: 8198 grad_norm: 7.2503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9376 loss: 0.9376 2022/08/03 19:32:19 - mmengine - INFO - Epoch(train) [192][720/1879] lr: 1.0000e-04 eta: 9:36:57 time: 0.2856 data_time: 0.0256 memory: 8198 grad_norm: 6.9458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/08/03 19:32:25 - mmengine - INFO - Epoch(train) [192][740/1879] lr: 1.0000e-04 eta: 9:36:51 time: 0.2916 data_time: 0.0248 memory: 8198 grad_norm: 7.2190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1205 loss: 1.1205 2022/08/03 19:32:30 - mmengine - INFO - Epoch(train) [192][760/1879] lr: 1.0000e-04 eta: 9:36:46 time: 0.2841 data_time: 0.0225 memory: 8198 grad_norm: 7.0905 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8544 loss: 0.8544 2022/08/03 19:32:36 - mmengine - INFO - Epoch(train) [192][780/1879] lr: 1.0000e-04 eta: 9:36:40 time: 0.2842 data_time: 0.0202 memory: 8198 grad_norm: 7.3348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/08/03 19:32:42 - mmengine - INFO - Epoch(train) [192][800/1879] lr: 1.0000e-04 eta: 9:36:34 time: 0.2966 data_time: 0.0202 memory: 8198 grad_norm: 7.2857 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9580 loss: 0.9580 2022/08/03 19:32:48 - mmengine - INFO - Epoch(train) [192][820/1879] lr: 1.0000e-04 eta: 9:36:29 time: 0.2862 data_time: 0.0257 memory: 8198 grad_norm: 7.1480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0145 loss: 1.0145 2022/08/03 19:32:54 - mmengine - INFO - Epoch(train) [192][840/1879] lr: 1.0000e-04 eta: 9:36:23 time: 0.2859 data_time: 0.0193 memory: 8198 grad_norm: 7.1601 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/08/03 19:32:59 - mmengine - INFO - Epoch(train) [192][860/1879] lr: 1.0000e-04 eta: 9:36:17 time: 0.2875 data_time: 0.0233 memory: 8198 grad_norm: 7.1173 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0079 loss: 1.0079 2022/08/03 19:33:05 - mmengine - INFO - Epoch(train) [192][880/1879] lr: 1.0000e-04 eta: 9:36:12 time: 0.2962 data_time: 0.0199 memory: 8198 grad_norm: 7.0062 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8815 loss: 0.8815 2022/08/03 19:33:11 - mmengine - INFO - Epoch(train) [192][900/1879] lr: 1.0000e-04 eta: 9:36:06 time: 0.2862 data_time: 0.0222 memory: 8198 grad_norm: 7.1221 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0150 loss: 1.0150 2022/08/03 19:33:17 - mmengine - INFO - Epoch(train) [192][920/1879] lr: 1.0000e-04 eta: 9:36:00 time: 0.2900 data_time: 0.0282 memory: 8198 grad_norm: 7.1365 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8925 loss: 0.8925 2022/08/03 19:33:23 - mmengine - INFO - Epoch(train) [192][940/1879] lr: 1.0000e-04 eta: 9:35:55 time: 0.2907 data_time: 0.0246 memory: 8198 grad_norm: 7.2457 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/08/03 19:33:28 - mmengine - INFO - Epoch(train) [192][960/1879] lr: 1.0000e-04 eta: 9:35:49 time: 0.2836 data_time: 0.0197 memory: 8198 grad_norm: 6.8289 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/08/03 19:33:34 - mmengine - INFO - Epoch(train) [192][980/1879] lr: 1.0000e-04 eta: 9:35:43 time: 0.2848 data_time: 0.0219 memory: 8198 grad_norm: 6.8425 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9804 loss: 0.9804 2022/08/03 19:33:40 - mmengine - INFO - Epoch(train) [192][1000/1879] lr: 1.0000e-04 eta: 9:35:38 time: 0.2862 data_time: 0.0202 memory: 8198 grad_norm: 7.1099 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8734 loss: 0.8734 2022/08/03 19:33:46 - mmengine - INFO - Epoch(train) [192][1020/1879] lr: 1.0000e-04 eta: 9:35:32 time: 0.2965 data_time: 0.0244 memory: 8198 grad_norm: 7.3183 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0279 loss: 1.0279 2022/08/03 19:33:52 - mmengine - INFO - Epoch(train) [192][1040/1879] lr: 1.0000e-04 eta: 9:35:26 time: 0.2875 data_time: 0.0245 memory: 8198 grad_norm: 6.9846 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0732 loss: 1.0732 2022/08/03 19:33:57 - mmengine - INFO - Epoch(train) [192][1060/1879] lr: 1.0000e-04 eta: 9:35:21 time: 0.2889 data_time: 0.0190 memory: 8198 grad_norm: 7.3335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9870 loss: 0.9870 2022/08/03 19:34:03 - mmengine - INFO - Epoch(train) [192][1080/1879] lr: 1.0000e-04 eta: 9:35:15 time: 0.3016 data_time: 0.0314 memory: 8198 grad_norm: 7.1055 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9235 loss: 0.9235 2022/08/03 19:34:09 - mmengine - INFO - Epoch(train) [192][1100/1879] lr: 1.0000e-04 eta: 9:35:09 time: 0.2847 data_time: 0.0230 memory: 8198 grad_norm: 7.0009 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8869 loss: 0.8869 2022/08/03 19:34:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:34:15 - mmengine - INFO - Epoch(train) [192][1120/1879] lr: 1.0000e-04 eta: 9:35:04 time: 0.2849 data_time: 0.0213 memory: 8198 grad_norm: 6.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9307 loss: 0.9307 2022/08/03 19:34:21 - mmengine - INFO - Epoch(train) [192][1140/1879] lr: 1.0000e-04 eta: 9:34:58 time: 0.2906 data_time: 0.0255 memory: 8198 grad_norm: 7.2917 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8804 loss: 0.8804 2022/08/03 19:34:27 - mmengine - INFO - Epoch(train) [192][1160/1879] lr: 1.0000e-04 eta: 9:34:52 time: 0.2977 data_time: 0.0220 memory: 8198 grad_norm: 7.2199 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8882 loss: 0.8882 2022/08/03 19:34:32 - mmengine - INFO - Epoch(train) [192][1180/1879] lr: 1.0000e-04 eta: 9:34:47 time: 0.2840 data_time: 0.0223 memory: 8198 grad_norm: 7.2433 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1085 loss: 1.1085 2022/08/03 19:34:38 - mmengine - INFO - Epoch(train) [192][1200/1879] lr: 1.0000e-04 eta: 9:34:41 time: 0.2866 data_time: 0.0241 memory: 8198 grad_norm: 7.0461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0295 loss: 1.0295 2022/08/03 19:34:44 - mmengine - INFO - Epoch(train) [192][1220/1879] lr: 1.0000e-04 eta: 9:34:35 time: 0.2890 data_time: 0.0241 memory: 8198 grad_norm: 7.0131 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/08/03 19:34:50 - mmengine - INFO - Epoch(train) [192][1240/1879] lr: 1.0000e-04 eta: 9:34:29 time: 0.2842 data_time: 0.0189 memory: 8198 grad_norm: 7.0858 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8309 loss: 0.8309 2022/08/03 19:34:56 - mmengine - INFO - Epoch(train) [192][1260/1879] lr: 1.0000e-04 eta: 9:34:24 time: 0.2881 data_time: 0.0211 memory: 8198 grad_norm: 7.1421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9864 loss: 0.9864 2022/08/03 19:35:01 - mmengine - INFO - Epoch(train) [192][1280/1879] lr: 1.0000e-04 eta: 9:34:18 time: 0.2861 data_time: 0.0196 memory: 8198 grad_norm: 6.9371 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0885 loss: 1.0885 2022/08/03 19:35:07 - mmengine - INFO - Epoch(train) [192][1300/1879] lr: 1.0000e-04 eta: 9:34:12 time: 0.2920 data_time: 0.0292 memory: 8198 grad_norm: 7.0268 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0101 loss: 1.0101 2022/08/03 19:35:13 - mmengine - INFO - Epoch(train) [192][1320/1879] lr: 1.0000e-04 eta: 9:34:07 time: 0.2850 data_time: 0.0218 memory: 8198 grad_norm: 7.1684 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/03 19:35:19 - mmengine - INFO - Epoch(train) [192][1340/1879] lr: 1.0000e-04 eta: 9:34:01 time: 0.2876 data_time: 0.0247 memory: 8198 grad_norm: 7.1073 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9689 loss: 0.9689 2022/08/03 19:35:25 - mmengine - INFO - Epoch(train) [192][1360/1879] lr: 1.0000e-04 eta: 9:33:55 time: 0.2958 data_time: 0.0233 memory: 8198 grad_norm: 7.1284 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0452 loss: 1.0452 2022/08/03 19:35:30 - mmengine - INFO - Epoch(train) [192][1380/1879] lr: 1.0000e-04 eta: 9:33:50 time: 0.2847 data_time: 0.0240 memory: 8198 grad_norm: 7.3294 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9059 loss: 0.9059 2022/08/03 19:35:36 - mmengine - INFO - Epoch(train) [192][1400/1879] lr: 1.0000e-04 eta: 9:33:44 time: 0.2860 data_time: 0.0229 memory: 8198 grad_norm: 7.0950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9153 loss: 0.9153 2022/08/03 19:35:42 - mmengine - INFO - Epoch(train) [192][1420/1879] lr: 1.0000e-04 eta: 9:33:38 time: 0.2892 data_time: 0.0227 memory: 8198 grad_norm: 7.3128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/08/03 19:35:48 - mmengine - INFO - Epoch(train) [192][1440/1879] lr: 1.0000e-04 eta: 9:33:33 time: 0.2825 data_time: 0.0193 memory: 8198 grad_norm: 7.0891 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0985 loss: 1.0985 2022/08/03 19:35:53 - mmengine - INFO - Epoch(train) [192][1460/1879] lr: 1.0000e-04 eta: 9:33:27 time: 0.2846 data_time: 0.0212 memory: 8198 grad_norm: 7.0973 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9731 loss: 0.9731 2022/08/03 19:35:59 - mmengine - INFO - Epoch(train) [192][1480/1879] lr: 1.0000e-04 eta: 9:33:21 time: 0.2866 data_time: 0.0238 memory: 8198 grad_norm: 7.3164 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/08/03 19:36:05 - mmengine - INFO - Epoch(train) [192][1500/1879] lr: 1.0000e-04 eta: 9:33:16 time: 0.2940 data_time: 0.0231 memory: 8198 grad_norm: 7.1753 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9087 loss: 0.9087 2022/08/03 19:36:11 - mmengine - INFO - Epoch(train) [192][1520/1879] lr: 1.0000e-04 eta: 9:33:10 time: 0.2856 data_time: 0.0247 memory: 8198 grad_norm: 6.9945 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1611 loss: 1.1611 2022/08/03 19:36:17 - mmengine - INFO - Epoch(train) [192][1540/1879] lr: 1.0000e-04 eta: 9:33:04 time: 0.2909 data_time: 0.0276 memory: 8198 grad_norm: 7.0146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0484 loss: 1.0484 2022/08/03 19:36:22 - mmengine - INFO - Epoch(train) [192][1560/1879] lr: 1.0000e-04 eta: 9:32:59 time: 0.2946 data_time: 0.0256 memory: 8198 grad_norm: 7.3441 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0470 loss: 1.0470 2022/08/03 19:36:28 - mmengine - INFO - Epoch(train) [192][1580/1879] lr: 1.0000e-04 eta: 9:32:53 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 7.0400 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0662 loss: 1.0662 2022/08/03 19:36:34 - mmengine - INFO - Epoch(train) [192][1600/1879] lr: 1.0000e-04 eta: 9:32:47 time: 0.2890 data_time: 0.0260 memory: 8198 grad_norm: 7.0594 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8421 loss: 0.8421 2022/08/03 19:36:40 - mmengine - INFO - Epoch(train) [192][1620/1879] lr: 1.0000e-04 eta: 9:32:42 time: 0.2848 data_time: 0.0275 memory: 8198 grad_norm: 7.0741 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7784 loss: 0.7784 2022/08/03 19:36:46 - mmengine - INFO - Epoch(train) [192][1640/1879] lr: 1.0000e-04 eta: 9:32:36 time: 0.2904 data_time: 0.0157 memory: 8198 grad_norm: 7.2963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9892 loss: 0.9892 2022/08/03 19:36:51 - mmengine - INFO - Epoch(train) [192][1660/1879] lr: 1.0000e-04 eta: 9:32:30 time: 0.2844 data_time: 0.0215 memory: 8198 grad_norm: 7.2672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/08/03 19:36:57 - mmengine - INFO - Epoch(train) [192][1680/1879] lr: 1.0000e-04 eta: 9:32:24 time: 0.2884 data_time: 0.0240 memory: 8198 grad_norm: 7.1883 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0552 loss: 1.0552 2022/08/03 19:37:03 - mmengine - INFO - Epoch(train) [192][1700/1879] lr: 1.0000e-04 eta: 9:32:19 time: 0.2939 data_time: 0.0248 memory: 8198 grad_norm: 7.0812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/08/03 19:37:09 - mmengine - INFO - Epoch(train) [192][1720/1879] lr: 1.0000e-04 eta: 9:32:13 time: 0.2823 data_time: 0.0227 memory: 8198 grad_norm: 7.1271 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0277 loss: 1.0277 2022/08/03 19:37:14 - mmengine - INFO - Epoch(train) [192][1740/1879] lr: 1.0000e-04 eta: 9:32:07 time: 0.2877 data_time: 0.0282 memory: 8198 grad_norm: 7.2475 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0437 loss: 1.0437 2022/08/03 19:37:20 - mmengine - INFO - Epoch(train) [192][1760/1879] lr: 1.0000e-04 eta: 9:32:02 time: 0.2838 data_time: 0.0232 memory: 8198 grad_norm: 7.2575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9819 loss: 0.9819 2022/08/03 19:37:26 - mmengine - INFO - Epoch(train) [192][1780/1879] lr: 1.0000e-04 eta: 9:31:56 time: 0.3172 data_time: 0.0222 memory: 8198 grad_norm: 6.8845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8310 loss: 0.8310 2022/08/03 19:37:32 - mmengine - INFO - Epoch(train) [192][1800/1879] lr: 1.0000e-04 eta: 9:31:50 time: 0.2790 data_time: 0.0174 memory: 8198 grad_norm: 6.8780 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9168 loss: 0.9168 2022/08/03 19:37:38 - mmengine - INFO - Epoch(train) [192][1820/1879] lr: 1.0000e-04 eta: 9:31:45 time: 0.2855 data_time: 0.0242 memory: 8198 grad_norm: 7.0805 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8114 loss: 0.8114 2022/08/03 19:37:44 - mmengine - INFO - Epoch(train) [192][1840/1879] lr: 1.0000e-04 eta: 9:31:39 time: 0.2944 data_time: 0.0187 memory: 8198 grad_norm: 7.1660 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9714 loss: 0.9714 2022/08/03 19:37:50 - mmengine - INFO - Epoch(train) [192][1860/1879] lr: 1.0000e-04 eta: 9:31:33 time: 0.2868 data_time: 0.0216 memory: 8198 grad_norm: 7.0992 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9088 loss: 0.9088 2022/08/03 19:37:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:37:54 - mmengine - INFO - Epoch(train) [192][1879/1879] lr: 1.0000e-04 eta: 9:31:33 time: 0.2584 data_time: 0.0149 memory: 8198 grad_norm: 7.2802 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9820 loss: 0.9820 2022/08/03 19:37:54 - mmengine - INFO - Saving checkpoint at 192 epochs 2022/08/03 19:38:04 - mmengine - INFO - Epoch(train) [193][20/1879] lr: 1.0000e-04 eta: 9:31:21 time: 0.3782 data_time: 0.1156 memory: 8198 grad_norm: 7.1597 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/08/03 19:38:10 - mmengine - INFO - Epoch(train) [193][40/1879] lr: 1.0000e-04 eta: 9:31:15 time: 0.2873 data_time: 0.0195 memory: 8198 grad_norm: 7.0883 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/08/03 19:38:16 - mmengine - INFO - Epoch(train) [193][60/1879] lr: 1.0000e-04 eta: 9:31:10 time: 0.2979 data_time: 0.0180 memory: 8198 grad_norm: 6.9570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8311 loss: 0.8311 2022/08/03 19:38:22 - mmengine - INFO - Epoch(train) [193][80/1879] lr: 1.0000e-04 eta: 9:31:04 time: 0.2839 data_time: 0.0208 memory: 8198 grad_norm: 7.1025 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1154 loss: 1.1154 2022/08/03 19:38:28 - mmengine - INFO - Epoch(train) [193][100/1879] lr: 1.0000e-04 eta: 9:30:58 time: 0.2896 data_time: 0.0296 memory: 8198 grad_norm: 6.9202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/08/03 19:38:34 - mmengine - INFO - Epoch(train) [193][120/1879] lr: 1.0000e-04 eta: 9:30:53 time: 0.2883 data_time: 0.0232 memory: 8198 grad_norm: 7.1152 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9726 loss: 0.9726 2022/08/03 19:38:39 - mmengine - INFO - Epoch(train) [193][140/1879] lr: 1.0000e-04 eta: 9:30:47 time: 0.2872 data_time: 0.0218 memory: 8198 grad_norm: 7.2347 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9643 loss: 0.9643 2022/08/03 19:38:45 - mmengine - INFO - Epoch(train) [193][160/1879] lr: 1.0000e-04 eta: 9:30:41 time: 0.2877 data_time: 0.0183 memory: 8198 grad_norm: 6.8679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/08/03 19:38:51 - mmengine - INFO - Epoch(train) [193][180/1879] lr: 1.0000e-04 eta: 9:30:36 time: 0.2881 data_time: 0.0248 memory: 8198 grad_norm: 6.8600 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9600 loss: 0.9600 2022/08/03 19:38:57 - mmengine - INFO - Epoch(train) [193][200/1879] lr: 1.0000e-04 eta: 9:30:30 time: 0.2919 data_time: 0.0240 memory: 8198 grad_norm: 7.1776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0979 loss: 1.0979 2022/08/03 19:39:03 - mmengine - INFO - Epoch(train) [193][220/1879] lr: 1.0000e-04 eta: 9:30:24 time: 0.2900 data_time: 0.0261 memory: 8198 grad_norm: 7.1727 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0658 loss: 1.0658 2022/08/03 19:39:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:39:08 - mmengine - INFO - Epoch(train) [193][240/1879] lr: 1.0000e-04 eta: 9:30:19 time: 0.2851 data_time: 0.0242 memory: 8198 grad_norm: 7.1303 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0547 loss: 1.0547 2022/08/03 19:39:14 - mmengine - INFO - Epoch(train) [193][260/1879] lr: 1.0000e-04 eta: 9:30:13 time: 0.2849 data_time: 0.0240 memory: 8198 grad_norm: 7.0800 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1723 loss: 1.1723 2022/08/03 19:39:20 - mmengine - INFO - Epoch(train) [193][280/1879] lr: 1.0000e-04 eta: 9:30:07 time: 0.2865 data_time: 0.0277 memory: 8198 grad_norm: 7.1636 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9762 loss: 0.9762 2022/08/03 19:39:26 - mmengine - INFO - Epoch(train) [193][300/1879] lr: 1.0000e-04 eta: 9:30:02 time: 0.2921 data_time: 0.0168 memory: 8198 grad_norm: 7.1083 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9446 loss: 0.9446 2022/08/03 19:39:31 - mmengine - INFO - Epoch(train) [193][320/1879] lr: 1.0000e-04 eta: 9:29:56 time: 0.2852 data_time: 0.0259 memory: 8198 grad_norm: 7.0356 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0612 loss: 1.0612 2022/08/03 19:39:37 - mmengine - INFO - Epoch(train) [193][340/1879] lr: 1.0000e-04 eta: 9:29:50 time: 0.2901 data_time: 0.0253 memory: 8198 grad_norm: 7.2918 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0585 loss: 1.0585 2022/08/03 19:39:43 - mmengine - INFO - Epoch(train) [193][360/1879] lr: 1.0000e-04 eta: 9:29:45 time: 0.2905 data_time: 0.0246 memory: 8198 grad_norm: 7.2745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/08/03 19:39:49 - mmengine - INFO - Epoch(train) [193][380/1879] lr: 1.0000e-04 eta: 9:29:39 time: 0.2849 data_time: 0.0186 memory: 8198 grad_norm: 7.3143 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9340 loss: 0.9340 2022/08/03 19:39:55 - mmengine - INFO - Epoch(train) [193][400/1879] lr: 1.0000e-04 eta: 9:29:33 time: 0.2879 data_time: 0.0255 memory: 8198 grad_norm: 6.9127 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8652 loss: 0.8652 2022/08/03 19:40:00 - mmengine - INFO - Epoch(train) [193][420/1879] lr: 1.0000e-04 eta: 9:29:27 time: 0.2866 data_time: 0.0202 memory: 8198 grad_norm: 7.0990 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8610 loss: 0.8610 2022/08/03 19:40:06 - mmengine - INFO - Epoch(train) [193][440/1879] lr: 1.0000e-04 eta: 9:29:22 time: 0.2972 data_time: 0.0200 memory: 8198 grad_norm: 7.0645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0802 loss: 1.0802 2022/08/03 19:40:12 - mmengine - INFO - Epoch(train) [193][460/1879] lr: 1.0000e-04 eta: 9:29:16 time: 0.2836 data_time: 0.0196 memory: 8198 grad_norm: 7.0035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/08/03 19:40:18 - mmengine - INFO - Epoch(train) [193][480/1879] lr: 1.0000e-04 eta: 9:29:10 time: 0.2856 data_time: 0.0201 memory: 8198 grad_norm: 6.7859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/08/03 19:40:23 - mmengine - INFO - Epoch(train) [193][500/1879] lr: 1.0000e-04 eta: 9:29:05 time: 0.2856 data_time: 0.0223 memory: 8198 grad_norm: 7.0535 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9522 loss: 0.9522 2022/08/03 19:40:29 - mmengine - INFO - Epoch(train) [193][520/1879] lr: 1.0000e-04 eta: 9:28:59 time: 0.2867 data_time: 0.0280 memory: 8198 grad_norm: 7.3439 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8492 loss: 0.8492 2022/08/03 19:40:35 - mmengine - INFO - Epoch(train) [193][540/1879] lr: 1.0000e-04 eta: 9:28:53 time: 0.2885 data_time: 0.0213 memory: 8198 grad_norm: 7.0949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8451 loss: 0.8451 2022/08/03 19:40:41 - mmengine - INFO - Epoch(train) [193][560/1879] lr: 1.0000e-04 eta: 9:28:48 time: 0.2837 data_time: 0.0196 memory: 8198 grad_norm: 7.1452 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/03 19:40:47 - mmengine - INFO - Epoch(train) [193][580/1879] lr: 1.0000e-04 eta: 9:28:42 time: 0.2866 data_time: 0.0230 memory: 8198 grad_norm: 7.2367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/08/03 19:40:52 - mmengine - INFO - Epoch(train) [193][600/1879] lr: 1.0000e-04 eta: 9:28:36 time: 0.2844 data_time: 0.0229 memory: 8198 grad_norm: 7.0481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0339 loss: 1.0339 2022/08/03 19:40:58 - mmengine - INFO - Epoch(train) [193][620/1879] lr: 1.0000e-04 eta: 9:28:31 time: 0.2877 data_time: 0.0268 memory: 8198 grad_norm: 7.2276 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9683 loss: 0.9683 2022/08/03 19:41:04 - mmengine - INFO - Epoch(train) [193][640/1879] lr: 1.0000e-04 eta: 9:28:25 time: 0.2862 data_time: 0.0236 memory: 8198 grad_norm: 7.1315 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1240 loss: 1.1240 2022/08/03 19:41:10 - mmengine - INFO - Epoch(train) [193][660/1879] lr: 1.0000e-04 eta: 9:28:19 time: 0.2876 data_time: 0.0218 memory: 8198 grad_norm: 7.0532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7903 loss: 0.7903 2022/08/03 19:41:15 - mmengine - INFO - Epoch(train) [193][680/1879] lr: 1.0000e-04 eta: 9:28:14 time: 0.2892 data_time: 0.0229 memory: 8198 grad_norm: 6.9245 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7936 loss: 0.7936 2022/08/03 19:41:21 - mmengine - INFO - Epoch(train) [193][700/1879] lr: 1.0000e-04 eta: 9:28:08 time: 0.2845 data_time: 0.0228 memory: 8198 grad_norm: 7.2721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/08/03 19:41:27 - mmengine - INFO - Epoch(train) [193][720/1879] lr: 1.0000e-04 eta: 9:28:02 time: 0.2965 data_time: 0.0166 memory: 8198 grad_norm: 6.9815 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0291 loss: 1.0291 2022/08/03 19:41:33 - mmengine - INFO - Epoch(train) [193][740/1879] lr: 1.0000e-04 eta: 9:27:57 time: 0.2956 data_time: 0.0196 memory: 8198 grad_norm: 6.9374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0289 loss: 1.0289 2022/08/03 19:41:39 - mmengine - INFO - Epoch(train) [193][760/1879] lr: 1.0000e-04 eta: 9:27:51 time: 0.2830 data_time: 0.0220 memory: 8198 grad_norm: 7.4000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8941 loss: 0.8941 2022/08/03 19:41:44 - mmengine - INFO - Epoch(train) [193][780/1879] lr: 1.0000e-04 eta: 9:27:45 time: 0.2870 data_time: 0.0224 memory: 8198 grad_norm: 7.2928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0103 loss: 1.0103 2022/08/03 19:41:50 - mmengine - INFO - Epoch(train) [193][800/1879] lr: 1.0000e-04 eta: 9:27:39 time: 0.2831 data_time: 0.0207 memory: 8198 grad_norm: 7.3785 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9112 loss: 0.9112 2022/08/03 19:41:56 - mmengine - INFO - Epoch(train) [193][820/1879] lr: 1.0000e-04 eta: 9:27:34 time: 0.2850 data_time: 0.0232 memory: 8198 grad_norm: 7.1047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/08/03 19:42:02 - mmengine - INFO - Epoch(train) [193][840/1879] lr: 1.0000e-04 eta: 9:27:28 time: 0.2859 data_time: 0.0218 memory: 8198 grad_norm: 6.9098 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8059 loss: 0.8059 2022/08/03 19:42:08 - mmengine - INFO - Epoch(train) [193][860/1879] lr: 1.0000e-04 eta: 9:27:22 time: 0.2972 data_time: 0.0361 memory: 8198 grad_norm: 7.2073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/08/03 19:42:13 - mmengine - INFO - Epoch(train) [193][880/1879] lr: 1.0000e-04 eta: 9:27:17 time: 0.2916 data_time: 0.0239 memory: 8198 grad_norm: 7.0684 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9904 loss: 0.9904 2022/08/03 19:42:19 - mmengine - INFO - Epoch(train) [193][900/1879] lr: 1.0000e-04 eta: 9:27:11 time: 0.2843 data_time: 0.0239 memory: 8198 grad_norm: 6.8560 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9909 loss: 0.9909 2022/08/03 19:42:25 - mmengine - INFO - Epoch(train) [193][920/1879] lr: 1.0000e-04 eta: 9:27:05 time: 0.2906 data_time: 0.0236 memory: 8198 grad_norm: 7.0603 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9348 loss: 0.9348 2022/08/03 19:42:31 - mmengine - INFO - Epoch(train) [193][940/1879] lr: 1.0000e-04 eta: 9:27:00 time: 0.2850 data_time: 0.0189 memory: 8198 grad_norm: 7.2707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/08/03 19:42:37 - mmengine - INFO - Epoch(train) [193][960/1879] lr: 1.0000e-04 eta: 9:26:54 time: 0.2905 data_time: 0.0237 memory: 8198 grad_norm: 7.1619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1041 loss: 1.1041 2022/08/03 19:42:42 - mmengine - INFO - Epoch(train) [193][980/1879] lr: 1.0000e-04 eta: 9:26:48 time: 0.2851 data_time: 0.0225 memory: 8198 grad_norm: 7.1974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9333 loss: 0.9333 2022/08/03 19:42:48 - mmengine - INFO - Epoch(train) [193][1000/1879] lr: 1.0000e-04 eta: 9:26:43 time: 0.2864 data_time: 0.0217 memory: 8198 grad_norm: 7.0845 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8474 loss: 0.8474 2022/08/03 19:42:54 - mmengine - INFO - Epoch(train) [193][1020/1879] lr: 1.0000e-04 eta: 9:26:37 time: 0.2848 data_time: 0.0240 memory: 8198 grad_norm: 7.1295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9851 loss: 0.9851 2022/08/03 19:42:59 - mmengine - INFO - Epoch(train) [193][1040/1879] lr: 1.0000e-04 eta: 9:26:31 time: 0.2842 data_time: 0.0208 memory: 8198 grad_norm: 6.8130 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0440 loss: 1.0440 2022/08/03 19:43:05 - mmengine - INFO - Epoch(train) [193][1060/1879] lr: 1.0000e-04 eta: 9:26:26 time: 0.2865 data_time: 0.0233 memory: 8198 grad_norm: 7.2629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1201 loss: 1.1201 2022/08/03 19:43:11 - mmengine - INFO - Epoch(train) [193][1080/1879] lr: 1.0000e-04 eta: 9:26:20 time: 0.2870 data_time: 0.0211 memory: 8198 grad_norm: 6.9885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9313 loss: 0.9313 2022/08/03 19:43:17 - mmengine - INFO - Epoch(train) [193][1100/1879] lr: 1.0000e-04 eta: 9:26:14 time: 0.2914 data_time: 0.0240 memory: 8198 grad_norm: 7.2416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9241 loss: 0.9241 2022/08/03 19:43:23 - mmengine - INFO - Epoch(train) [193][1120/1879] lr: 1.0000e-04 eta: 9:26:08 time: 0.2841 data_time: 0.0201 memory: 8198 grad_norm: 7.0496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0030 loss: 1.0030 2022/08/03 19:43:28 - mmengine - INFO - Epoch(train) [193][1140/1879] lr: 1.0000e-04 eta: 9:26:03 time: 0.2844 data_time: 0.0204 memory: 8198 grad_norm: 7.0097 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0223 loss: 1.0223 2022/08/03 19:43:34 - mmengine - INFO - Epoch(train) [193][1160/1879] lr: 1.0000e-04 eta: 9:25:57 time: 0.2925 data_time: 0.0216 memory: 8198 grad_norm: 7.1571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9097 loss: 0.9097 2022/08/03 19:43:40 - mmengine - INFO - Epoch(train) [193][1180/1879] lr: 1.0000e-04 eta: 9:25:51 time: 0.2860 data_time: 0.0251 memory: 8198 grad_norm: 7.0783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9195 loss: 0.9195 2022/08/03 19:43:46 - mmengine - INFO - Epoch(train) [193][1200/1879] lr: 1.0000e-04 eta: 9:25:46 time: 0.2864 data_time: 0.0232 memory: 8198 grad_norm: 7.1029 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/08/03 19:43:51 - mmengine - INFO - Epoch(train) [193][1220/1879] lr: 1.0000e-04 eta: 9:25:40 time: 0.2902 data_time: 0.0295 memory: 8198 grad_norm: 7.1157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9232 loss: 0.9232 2022/08/03 19:43:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:43:57 - mmengine - INFO - Epoch(train) [193][1240/1879] lr: 1.0000e-04 eta: 9:25:34 time: 0.2888 data_time: 0.0213 memory: 8198 grad_norm: 7.3358 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0509 loss: 1.0509 2022/08/03 19:44:03 - mmengine - INFO - Epoch(train) [193][1260/1879] lr: 1.0000e-04 eta: 9:25:29 time: 0.2866 data_time: 0.0245 memory: 8198 grad_norm: 7.0338 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1072 loss: 1.1072 2022/08/03 19:44:09 - mmengine - INFO - Epoch(train) [193][1280/1879] lr: 1.0000e-04 eta: 9:25:23 time: 0.2854 data_time: 0.0278 memory: 8198 grad_norm: 6.8500 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9956 loss: 0.9956 2022/08/03 19:44:15 - mmengine - INFO - Epoch(train) [193][1300/1879] lr: 1.0000e-04 eta: 9:25:17 time: 0.2919 data_time: 0.0278 memory: 8198 grad_norm: 7.4000 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8826 loss: 0.8826 2022/08/03 19:44:20 - mmengine - INFO - Epoch(train) [193][1320/1879] lr: 1.0000e-04 eta: 9:25:12 time: 0.2900 data_time: 0.0182 memory: 8198 grad_norm: 7.0835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/08/03 19:44:26 - mmengine - INFO - Epoch(train) [193][1340/1879] lr: 1.0000e-04 eta: 9:25:06 time: 0.2939 data_time: 0.0246 memory: 8198 grad_norm: 6.9410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0010 loss: 1.0010 2022/08/03 19:44:32 - mmengine - INFO - Epoch(train) [193][1360/1879] lr: 1.0000e-04 eta: 9:25:00 time: 0.2848 data_time: 0.0225 memory: 8198 grad_norm: 7.1632 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0374 loss: 1.0374 2022/08/03 19:44:38 - mmengine - INFO - Epoch(train) [193][1380/1879] lr: 1.0000e-04 eta: 9:24:55 time: 0.2885 data_time: 0.0239 memory: 8198 grad_norm: 7.0726 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/08/03 19:44:44 - mmengine - INFO - Epoch(train) [193][1400/1879] lr: 1.0000e-04 eta: 9:24:49 time: 0.2862 data_time: 0.0213 memory: 8198 grad_norm: 6.9166 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0502 loss: 1.0502 2022/08/03 19:44:49 - mmengine - INFO - Epoch(train) [193][1420/1879] lr: 1.0000e-04 eta: 9:24:43 time: 0.2857 data_time: 0.0261 memory: 8198 grad_norm: 7.2514 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8456 loss: 0.8456 2022/08/03 19:44:55 - mmengine - INFO - Epoch(train) [193][1440/1879] lr: 1.0000e-04 eta: 9:24:38 time: 0.2987 data_time: 0.0195 memory: 8198 grad_norm: 7.2556 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0324 loss: 1.0324 2022/08/03 19:45:01 - mmengine - INFO - Epoch(train) [193][1460/1879] lr: 1.0000e-04 eta: 9:24:32 time: 0.2850 data_time: 0.0218 memory: 8198 grad_norm: 7.0769 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9726 loss: 0.9726 2022/08/03 19:45:07 - mmengine - INFO - Epoch(train) [193][1480/1879] lr: 1.0000e-04 eta: 9:24:26 time: 0.2931 data_time: 0.0212 memory: 8198 grad_norm: 7.1696 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8991 loss: 0.8991 2022/08/03 19:45:13 - mmengine - INFO - Epoch(train) [193][1500/1879] lr: 1.0000e-04 eta: 9:24:21 time: 0.2878 data_time: 0.0184 memory: 8198 grad_norm: 6.9778 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0221 loss: 1.0221 2022/08/03 19:45:18 - mmengine - INFO - Epoch(train) [193][1520/1879] lr: 1.0000e-04 eta: 9:24:15 time: 0.2844 data_time: 0.0261 memory: 8198 grad_norm: 7.1327 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8690 loss: 0.8690 2022/08/03 19:45:24 - mmengine - INFO - Epoch(train) [193][1540/1879] lr: 1.0000e-04 eta: 9:24:09 time: 0.2838 data_time: 0.0217 memory: 8198 grad_norm: 7.3022 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8799 loss: 0.8799 2022/08/03 19:45:30 - mmengine - INFO - Epoch(train) [193][1560/1879] lr: 1.0000e-04 eta: 9:24:03 time: 0.2841 data_time: 0.0207 memory: 8198 grad_norm: 7.0888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1948 loss: 1.1948 2022/08/03 19:45:36 - mmengine - INFO - Epoch(train) [193][1580/1879] lr: 1.0000e-04 eta: 9:23:58 time: 0.2872 data_time: 0.0218 memory: 8198 grad_norm: 7.3457 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9745 loss: 0.9745 2022/08/03 19:45:41 - mmengine - INFO - Epoch(train) [193][1600/1879] lr: 1.0000e-04 eta: 9:23:52 time: 0.2873 data_time: 0.0282 memory: 8198 grad_norm: 7.2274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9869 loss: 0.9869 2022/08/03 19:45:47 - mmengine - INFO - Epoch(train) [193][1620/1879] lr: 1.0000e-04 eta: 9:23:46 time: 0.2830 data_time: 0.0239 memory: 8198 grad_norm: 7.3186 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/08/03 19:45:53 - mmengine - INFO - Epoch(train) [193][1640/1879] lr: 1.0000e-04 eta: 9:23:41 time: 0.3021 data_time: 0.0224 memory: 8198 grad_norm: 7.1363 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/08/03 19:45:59 - mmengine - INFO - Epoch(train) [193][1660/1879] lr: 1.0000e-04 eta: 9:23:35 time: 0.2822 data_time: 0.0262 memory: 8198 grad_norm: 6.9228 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7903 loss: 0.7903 2022/08/03 19:46:05 - mmengine - INFO - Epoch(train) [193][1680/1879] lr: 1.0000e-04 eta: 9:23:29 time: 0.2830 data_time: 0.0229 memory: 8198 grad_norm: 7.2456 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2036 loss: 1.2036 2022/08/03 19:46:10 - mmengine - INFO - Epoch(train) [193][1700/1879] lr: 1.0000e-04 eta: 9:23:24 time: 0.2891 data_time: 0.0229 memory: 8198 grad_norm: 7.0766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9707 loss: 0.9707 2022/08/03 19:46:16 - mmengine - INFO - Epoch(train) [193][1720/1879] lr: 1.0000e-04 eta: 9:23:18 time: 0.3017 data_time: 0.0207 memory: 8198 grad_norm: 7.4271 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1035 loss: 1.1035 2022/08/03 19:46:22 - mmengine - INFO - Epoch(train) [193][1740/1879] lr: 1.0000e-04 eta: 9:23:12 time: 0.2834 data_time: 0.0229 memory: 8198 grad_norm: 6.9300 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0467 loss: 1.0467 2022/08/03 19:46:28 - mmengine - INFO - Epoch(train) [193][1760/1879] lr: 1.0000e-04 eta: 9:23:07 time: 0.2849 data_time: 0.0246 memory: 8198 grad_norm: 7.1470 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/03 19:46:34 - mmengine - INFO - Epoch(train) [193][1780/1879] lr: 1.0000e-04 eta: 9:23:01 time: 0.2900 data_time: 0.0234 memory: 8198 grad_norm: 7.5044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9004 loss: 0.9004 2022/08/03 19:46:40 - mmengine - INFO - Epoch(train) [193][1800/1879] lr: 1.0000e-04 eta: 9:22:55 time: 0.2917 data_time: 0.0226 memory: 8198 grad_norm: 7.3486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9707 loss: 0.9707 2022/08/03 19:46:45 - mmengine - INFO - Epoch(train) [193][1820/1879] lr: 1.0000e-04 eta: 9:22:50 time: 0.2853 data_time: 0.0199 memory: 8198 grad_norm: 7.2427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9112 loss: 0.9112 2022/08/03 19:46:51 - mmengine - INFO - Epoch(train) [193][1840/1879] lr: 1.0000e-04 eta: 9:22:44 time: 0.2849 data_time: 0.0218 memory: 8198 grad_norm: 7.1463 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0857 loss: 1.0857 2022/08/03 19:46:57 - mmengine - INFO - Epoch(train) [193][1860/1879] lr: 1.0000e-04 eta: 9:22:38 time: 0.3063 data_time: 0.0201 memory: 8198 grad_norm: 7.0799 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/08/03 19:47:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:47:02 - mmengine - INFO - Epoch(train) [193][1879/1879] lr: 1.0000e-04 eta: 9:22:38 time: 0.2576 data_time: 0.0140 memory: 8198 grad_norm: 7.2582 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0401 loss: 1.0401 2022/08/03 19:47:10 - mmengine - INFO - Epoch(train) [194][20/1879] lr: 1.0000e-04 eta: 9:22:26 time: 0.4087 data_time: 0.1046 memory: 8198 grad_norm: 7.0038 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9290 loss: 0.9290 2022/08/03 19:47:17 - mmengine - INFO - Epoch(train) [194][40/1879] lr: 1.0000e-04 eta: 9:22:21 time: 0.3285 data_time: 0.0249 memory: 8198 grad_norm: 7.2621 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1662 loss: 1.1662 2022/08/03 19:47:23 - mmengine - INFO - Epoch(train) [194][60/1879] lr: 1.0000e-04 eta: 9:22:15 time: 0.2831 data_time: 0.0225 memory: 8198 grad_norm: 6.9069 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1045 loss: 1.1045 2022/08/03 19:47:28 - mmengine - INFO - Epoch(train) [194][80/1879] lr: 1.0000e-04 eta: 9:22:09 time: 0.2882 data_time: 0.0197 memory: 8198 grad_norm: 7.2402 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1045 loss: 1.1045 2022/08/03 19:47:34 - mmengine - INFO - Epoch(train) [194][100/1879] lr: 1.0000e-04 eta: 9:22:04 time: 0.2906 data_time: 0.0248 memory: 8198 grad_norm: 6.9173 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8262 loss: 0.8262 2022/08/03 19:47:40 - mmengine - INFO - Epoch(train) [194][120/1879] lr: 1.0000e-04 eta: 9:21:58 time: 0.2869 data_time: 0.0297 memory: 8198 grad_norm: 7.1039 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/03 19:47:46 - mmengine - INFO - Epoch(train) [194][140/1879] lr: 1.0000e-04 eta: 9:21:52 time: 0.2950 data_time: 0.0330 memory: 8198 grad_norm: 7.4010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0689 loss: 1.0689 2022/08/03 19:47:52 - mmengine - INFO - Epoch(train) [194][160/1879] lr: 1.0000e-04 eta: 9:21:47 time: 0.2839 data_time: 0.0191 memory: 8198 grad_norm: 6.8914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9902 loss: 0.9902 2022/08/03 19:47:57 - mmengine - INFO - Epoch(train) [194][180/1879] lr: 1.0000e-04 eta: 9:21:41 time: 0.2877 data_time: 0.0216 memory: 8198 grad_norm: 7.0211 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8190 loss: 0.8190 2022/08/03 19:48:03 - mmengine - INFO - Epoch(train) [194][200/1879] lr: 1.0000e-04 eta: 9:21:35 time: 0.2934 data_time: 0.0269 memory: 8198 grad_norm: 7.0200 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1198 loss: 1.1198 2022/08/03 19:48:09 - mmengine - INFO - Epoch(train) [194][220/1879] lr: 1.0000e-04 eta: 9:21:30 time: 0.2841 data_time: 0.0190 memory: 8198 grad_norm: 6.8830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/08/03 19:48:15 - mmengine - INFO - Epoch(train) [194][240/1879] lr: 1.0000e-04 eta: 9:21:24 time: 0.2895 data_time: 0.0270 memory: 8198 grad_norm: 6.9433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/03 19:48:21 - mmengine - INFO - Epoch(train) [194][260/1879] lr: 1.0000e-04 eta: 9:21:18 time: 0.2850 data_time: 0.0232 memory: 8198 grad_norm: 7.3508 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9553 loss: 0.9553 2022/08/03 19:48:26 - mmengine - INFO - Epoch(train) [194][280/1879] lr: 1.0000e-04 eta: 9:21:13 time: 0.2938 data_time: 0.0247 memory: 8198 grad_norm: 7.0199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9462 loss: 0.9462 2022/08/03 19:48:32 - mmengine - INFO - Epoch(train) [194][300/1879] lr: 1.0000e-04 eta: 9:21:07 time: 0.2827 data_time: 0.0226 memory: 8198 grad_norm: 7.0274 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/08/03 19:48:38 - mmengine - INFO - Epoch(train) [194][320/1879] lr: 1.0000e-04 eta: 9:21:01 time: 0.2868 data_time: 0.0241 memory: 8198 grad_norm: 7.3335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1813 loss: 1.1813 2022/08/03 19:48:44 - mmengine - INFO - Epoch(train) [194][340/1879] lr: 1.0000e-04 eta: 9:20:56 time: 0.2928 data_time: 0.0186 memory: 8198 grad_norm: 6.9320 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9289 loss: 0.9289 2022/08/03 19:48:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:48:49 - mmengine - INFO - Epoch(train) [194][360/1879] lr: 1.0000e-04 eta: 9:20:50 time: 0.2851 data_time: 0.0245 memory: 8198 grad_norm: 7.1962 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9894 loss: 0.9894 2022/08/03 19:48:55 - mmengine - INFO - Epoch(train) [194][380/1879] lr: 1.0000e-04 eta: 9:20:44 time: 0.2869 data_time: 0.0208 memory: 8198 grad_norm: 7.2005 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1047 loss: 1.1047 2022/08/03 19:49:01 - mmengine - INFO - Epoch(train) [194][400/1879] lr: 1.0000e-04 eta: 9:20:38 time: 0.2840 data_time: 0.0215 memory: 8198 grad_norm: 7.1032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8992 loss: 0.8992 2022/08/03 19:49:07 - mmengine - INFO - Epoch(train) [194][420/1879] lr: 1.0000e-04 eta: 9:20:33 time: 0.2854 data_time: 0.0242 memory: 8198 grad_norm: 6.9697 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9872 loss: 0.9872 2022/08/03 19:49:12 - mmengine - INFO - Epoch(train) [194][440/1879] lr: 1.0000e-04 eta: 9:20:27 time: 0.2885 data_time: 0.0306 memory: 8198 grad_norm: 6.9275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/08/03 19:49:18 - mmengine - INFO - Epoch(train) [194][460/1879] lr: 1.0000e-04 eta: 9:20:21 time: 0.2869 data_time: 0.0216 memory: 8198 grad_norm: 7.2992 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9977 loss: 0.9977 2022/08/03 19:49:24 - mmengine - INFO - Epoch(train) [194][480/1879] lr: 1.0000e-04 eta: 9:20:16 time: 0.2876 data_time: 0.0217 memory: 8198 grad_norm: 7.0570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0246 loss: 1.0246 2022/08/03 19:49:30 - mmengine - INFO - Epoch(train) [194][500/1879] lr: 1.0000e-04 eta: 9:20:10 time: 0.2876 data_time: 0.0214 memory: 8198 grad_norm: 7.2809 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8567 loss: 0.8567 2022/08/03 19:49:36 - mmengine - INFO - Epoch(train) [194][520/1879] lr: 1.0000e-04 eta: 9:20:04 time: 0.2860 data_time: 0.0203 memory: 8198 grad_norm: 7.1873 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/08/03 19:49:41 - mmengine - INFO - Epoch(train) [194][540/1879] lr: 1.0000e-04 eta: 9:19:59 time: 0.2841 data_time: 0.0279 memory: 8198 grad_norm: 7.3074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/08/03 19:49:47 - mmengine - INFO - Epoch(train) [194][560/1879] lr: 1.0000e-04 eta: 9:19:53 time: 0.2866 data_time: 0.0247 memory: 8198 grad_norm: 7.1081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8161 loss: 0.8161 2022/08/03 19:49:53 - mmengine - INFO - Epoch(train) [194][580/1879] lr: 1.0000e-04 eta: 9:19:47 time: 0.2837 data_time: 0.0188 memory: 8198 grad_norm: 6.9622 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9596 loss: 0.9596 2022/08/03 19:49:59 - mmengine - INFO - Epoch(train) [194][600/1879] lr: 1.0000e-04 eta: 9:19:42 time: 0.2995 data_time: 0.0230 memory: 8198 grad_norm: 6.9856 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0082 loss: 1.0082 2022/08/03 19:50:04 - mmengine - INFO - Epoch(train) [194][620/1879] lr: 1.0000e-04 eta: 9:19:36 time: 0.2864 data_time: 0.0175 memory: 8198 grad_norm: 7.2630 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0329 loss: 1.0329 2022/08/03 19:50:10 - mmengine - INFO - Epoch(train) [194][640/1879] lr: 1.0000e-04 eta: 9:19:30 time: 0.2846 data_time: 0.0231 memory: 8198 grad_norm: 7.2715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9471 loss: 0.9471 2022/08/03 19:50:16 - mmengine - INFO - Epoch(train) [194][660/1879] lr: 1.0000e-04 eta: 9:19:25 time: 0.3005 data_time: 0.0222 memory: 8198 grad_norm: 6.9009 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9803 loss: 0.9803 2022/08/03 19:50:22 - mmengine - INFO - Epoch(train) [194][680/1879] lr: 1.0000e-04 eta: 9:19:19 time: 0.2845 data_time: 0.0222 memory: 8198 grad_norm: 6.9532 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/08/03 19:50:28 - mmengine - INFO - Epoch(train) [194][700/1879] lr: 1.0000e-04 eta: 9:19:13 time: 0.2844 data_time: 0.0214 memory: 8198 grad_norm: 7.0156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8095 loss: 0.8095 2022/08/03 19:50:34 - mmengine - INFO - Epoch(train) [194][720/1879] lr: 1.0000e-04 eta: 9:19:08 time: 0.3015 data_time: 0.0225 memory: 8198 grad_norm: 7.0854 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8087 loss: 0.8087 2022/08/03 19:50:39 - mmengine - INFO - Epoch(train) [194][740/1879] lr: 1.0000e-04 eta: 9:19:02 time: 0.2813 data_time: 0.0163 memory: 8198 grad_norm: 7.2696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9765 loss: 0.9765 2022/08/03 19:50:45 - mmengine - INFO - Epoch(train) [194][760/1879] lr: 1.0000e-04 eta: 9:18:56 time: 0.2938 data_time: 0.0311 memory: 8198 grad_norm: 7.1957 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9728 loss: 0.9728 2022/08/03 19:50:51 - mmengine - INFO - Epoch(train) [194][780/1879] lr: 1.0000e-04 eta: 9:18:51 time: 0.2850 data_time: 0.0198 memory: 8198 grad_norm: 7.2154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9703 loss: 0.9703 2022/08/03 19:50:57 - mmengine - INFO - Epoch(train) [194][800/1879] lr: 1.0000e-04 eta: 9:18:45 time: 0.2895 data_time: 0.0281 memory: 8198 grad_norm: 7.2423 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8801 loss: 0.8801 2022/08/03 19:51:03 - mmengine - INFO - Epoch(train) [194][820/1879] lr: 1.0000e-04 eta: 9:18:39 time: 0.2857 data_time: 0.0211 memory: 8198 grad_norm: 6.9101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/08/03 19:51:08 - mmengine - INFO - Epoch(train) [194][840/1879] lr: 1.0000e-04 eta: 9:18:33 time: 0.2897 data_time: 0.0260 memory: 8198 grad_norm: 7.1617 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9217 loss: 0.9217 2022/08/03 19:51:14 - mmengine - INFO - Epoch(train) [194][860/1879] lr: 1.0000e-04 eta: 9:18:28 time: 0.2870 data_time: 0.0174 memory: 8198 grad_norm: 7.1267 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8650 loss: 0.8650 2022/08/03 19:51:20 - mmengine - INFO - Epoch(train) [194][880/1879] lr: 1.0000e-04 eta: 9:18:22 time: 0.2877 data_time: 0.0255 memory: 8198 grad_norm: 7.0775 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0789 loss: 1.0789 2022/08/03 19:51:26 - mmengine - INFO - Epoch(train) [194][900/1879] lr: 1.0000e-04 eta: 9:18:16 time: 0.2843 data_time: 0.0221 memory: 8198 grad_norm: 7.2209 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9322 loss: 0.9322 2022/08/03 19:51:31 - mmengine - INFO - Epoch(train) [194][920/1879] lr: 1.0000e-04 eta: 9:18:11 time: 0.2868 data_time: 0.0238 memory: 8198 grad_norm: 7.1265 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9287 loss: 0.9287 2022/08/03 19:51:37 - mmengine - INFO - Epoch(train) [194][940/1879] lr: 1.0000e-04 eta: 9:18:05 time: 0.2896 data_time: 0.0169 memory: 8198 grad_norm: 6.8037 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0048 loss: 1.0048 2022/08/03 19:51:43 - mmengine - INFO - Epoch(train) [194][960/1879] lr: 1.0000e-04 eta: 9:17:59 time: 0.2872 data_time: 0.0223 memory: 8198 grad_norm: 7.0732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9358 loss: 0.9358 2022/08/03 19:51:49 - mmengine - INFO - Epoch(train) [194][980/1879] lr: 1.0000e-04 eta: 9:17:54 time: 0.2861 data_time: 0.0202 memory: 8198 grad_norm: 7.2439 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0431 loss: 1.0431 2022/08/03 19:51:55 - mmengine - INFO - Epoch(train) [194][1000/1879] lr: 1.0000e-04 eta: 9:17:48 time: 0.3005 data_time: 0.0242 memory: 8198 grad_norm: 7.0533 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9524 loss: 0.9524 2022/08/03 19:52:00 - mmengine - INFO - Epoch(train) [194][1020/1879] lr: 1.0000e-04 eta: 9:17:42 time: 0.2811 data_time: 0.0203 memory: 8198 grad_norm: 7.0070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/08/03 19:52:06 - mmengine - INFO - Epoch(train) [194][1040/1879] lr: 1.0000e-04 eta: 9:17:37 time: 0.2910 data_time: 0.0226 memory: 8198 grad_norm: 6.9812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9861 loss: 0.9861 2022/08/03 19:52:12 - mmengine - INFO - Epoch(train) [194][1060/1879] lr: 1.0000e-04 eta: 9:17:31 time: 0.2854 data_time: 0.0226 memory: 8198 grad_norm: 7.0973 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0179 loss: 1.0179 2022/08/03 19:52:18 - mmengine - INFO - Epoch(train) [194][1080/1879] lr: 1.0000e-04 eta: 9:17:25 time: 0.3097 data_time: 0.0239 memory: 8198 grad_norm: 7.3116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9833 loss: 0.9833 2022/08/03 19:52:24 - mmengine - INFO - Epoch(train) [194][1100/1879] lr: 1.0000e-04 eta: 9:17:20 time: 0.2965 data_time: 0.0221 memory: 8198 grad_norm: 6.8046 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8689 loss: 0.8689 2022/08/03 19:52:30 - mmengine - INFO - Epoch(train) [194][1120/1879] lr: 1.0000e-04 eta: 9:17:14 time: 0.2871 data_time: 0.0255 memory: 8198 grad_norm: 7.1246 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9283 loss: 0.9283 2022/08/03 19:52:36 - mmengine - INFO - Epoch(train) [194][1140/1879] lr: 1.0000e-04 eta: 9:17:08 time: 0.2891 data_time: 0.0211 memory: 8198 grad_norm: 6.9607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2522 loss: 1.2522 2022/08/03 19:52:41 - mmengine - INFO - Epoch(train) [194][1160/1879] lr: 1.0000e-04 eta: 9:17:03 time: 0.2841 data_time: 0.0246 memory: 8198 grad_norm: 7.0683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/08/03 19:52:47 - mmengine - INFO - Epoch(train) [194][1180/1879] lr: 1.0000e-04 eta: 9:16:57 time: 0.2854 data_time: 0.0200 memory: 8198 grad_norm: 7.3053 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0567 loss: 1.0567 2022/08/03 19:52:53 - mmengine - INFO - Epoch(train) [194][1200/1879] lr: 1.0000e-04 eta: 9:16:51 time: 0.2834 data_time: 0.0229 memory: 8198 grad_norm: 7.1785 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9003 loss: 0.9003 2022/08/03 19:52:59 - mmengine - INFO - Epoch(train) [194][1220/1879] lr: 1.0000e-04 eta: 9:16:46 time: 0.2881 data_time: 0.0200 memory: 8198 grad_norm: 7.1008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0478 loss: 1.0478 2022/08/03 19:53:05 - mmengine - INFO - Epoch(train) [194][1240/1879] lr: 1.0000e-04 eta: 9:16:40 time: 0.2901 data_time: 0.0241 memory: 8198 grad_norm: 7.1896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9438 loss: 0.9438 2022/08/03 19:53:10 - mmengine - INFO - Epoch(train) [194][1260/1879] lr: 1.0000e-04 eta: 9:16:34 time: 0.2822 data_time: 0.0203 memory: 8198 grad_norm: 7.0704 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0289 loss: 1.0289 2022/08/03 19:53:16 - mmengine - INFO - Epoch(train) [194][1280/1879] lr: 1.0000e-04 eta: 9:16:29 time: 0.2896 data_time: 0.0226 memory: 8198 grad_norm: 7.1171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9939 loss: 0.9939 2022/08/03 19:53:22 - mmengine - INFO - Epoch(train) [194][1300/1879] lr: 1.0000e-04 eta: 9:16:23 time: 0.2854 data_time: 0.0255 memory: 8198 grad_norm: 6.8982 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7395 loss: 0.7395 2022/08/03 19:53:28 - mmengine - INFO - Epoch(train) [194][1320/1879] lr: 1.0000e-04 eta: 9:16:17 time: 0.2906 data_time: 0.0211 memory: 8198 grad_norm: 7.1217 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9120 loss: 0.9120 2022/08/03 19:53:33 - mmengine - INFO - Epoch(train) [194][1340/1879] lr: 1.0000e-04 eta: 9:16:11 time: 0.2842 data_time: 0.0208 memory: 8198 grad_norm: 7.1116 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0270 loss: 1.0270 2022/08/03 19:53:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:53:39 - mmengine - INFO - Epoch(train) [194][1360/1879] lr: 1.0000e-04 eta: 9:16:06 time: 0.2888 data_time: 0.0293 memory: 8198 grad_norm: 7.1599 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9358 loss: 0.9358 2022/08/03 19:53:45 - mmengine - INFO - Epoch(train) [194][1380/1879] lr: 1.0000e-04 eta: 9:16:00 time: 0.2862 data_time: 0.0190 memory: 8198 grad_norm: 6.8579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8521 loss: 0.8521 2022/08/03 19:53:51 - mmengine - INFO - Epoch(train) [194][1400/1879] lr: 1.0000e-04 eta: 9:15:54 time: 0.2861 data_time: 0.0270 memory: 8198 grad_norm: 7.3226 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0193 loss: 1.0193 2022/08/03 19:53:56 - mmengine - INFO - Epoch(train) [194][1420/1879] lr: 1.0000e-04 eta: 9:15:49 time: 0.2869 data_time: 0.0193 memory: 8198 grad_norm: 7.2098 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9149 loss: 0.9149 2022/08/03 19:54:02 - mmengine - INFO - Epoch(train) [194][1440/1879] lr: 1.0000e-04 eta: 9:15:43 time: 0.2872 data_time: 0.0232 memory: 8198 grad_norm: 7.1789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9208 loss: 0.9208 2022/08/03 19:54:08 - mmengine - INFO - Epoch(train) [194][1460/1879] lr: 1.0000e-04 eta: 9:15:37 time: 0.2875 data_time: 0.0201 memory: 8198 grad_norm: 6.9579 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0216 loss: 1.0216 2022/08/03 19:54:14 - mmengine - INFO - Epoch(train) [194][1480/1879] lr: 1.0000e-04 eta: 9:15:32 time: 0.2863 data_time: 0.0209 memory: 8198 grad_norm: 7.1509 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/08/03 19:54:19 - mmengine - INFO - Epoch(train) [194][1500/1879] lr: 1.0000e-04 eta: 9:15:26 time: 0.2874 data_time: 0.0246 memory: 8198 grad_norm: 7.0614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9855 loss: 0.9855 2022/08/03 19:54:25 - mmengine - INFO - Epoch(train) [194][1520/1879] lr: 1.0000e-04 eta: 9:15:20 time: 0.2875 data_time: 0.0190 memory: 8198 grad_norm: 6.8861 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9976 loss: 0.9976 2022/08/03 19:54:31 - mmengine - INFO - Epoch(train) [194][1540/1879] lr: 1.0000e-04 eta: 9:15:15 time: 0.2859 data_time: 0.0269 memory: 8198 grad_norm: 6.9667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8062 loss: 0.8062 2022/08/03 19:54:37 - mmengine - INFO - Epoch(train) [194][1560/1879] lr: 1.0000e-04 eta: 9:15:09 time: 0.2925 data_time: 0.0262 memory: 8198 grad_norm: 7.2901 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9536 loss: 0.9536 2022/08/03 19:54:43 - mmengine - INFO - Epoch(train) [194][1580/1879] lr: 1.0000e-04 eta: 9:15:03 time: 0.2830 data_time: 0.0218 memory: 8198 grad_norm: 7.1355 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8905 loss: 0.8905 2022/08/03 19:54:48 - mmengine - INFO - Epoch(train) [194][1600/1879] lr: 1.0000e-04 eta: 9:14:57 time: 0.2864 data_time: 0.0239 memory: 8198 grad_norm: 7.1319 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8980 loss: 0.8980 2022/08/03 19:54:54 - mmengine - INFO - Epoch(train) [194][1620/1879] lr: 1.0000e-04 eta: 9:14:52 time: 0.2920 data_time: 0.0225 memory: 8198 grad_norm: 7.1475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9962 loss: 0.9962 2022/08/03 19:55:00 - mmengine - INFO - Epoch(train) [194][1640/1879] lr: 1.0000e-04 eta: 9:14:46 time: 0.2834 data_time: 0.0219 memory: 8198 grad_norm: 7.2610 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9413 loss: 0.9413 2022/08/03 19:55:06 - mmengine - INFO - Epoch(train) [194][1660/1879] lr: 1.0000e-04 eta: 9:14:40 time: 0.2845 data_time: 0.0215 memory: 8198 grad_norm: 7.2301 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0798 loss: 1.0798 2022/08/03 19:55:11 - mmengine - INFO - Epoch(train) [194][1680/1879] lr: 1.0000e-04 eta: 9:14:35 time: 0.2855 data_time: 0.0205 memory: 8198 grad_norm: 7.3192 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0922 loss: 1.0922 2022/08/03 19:55:17 - mmengine - INFO - Epoch(train) [194][1700/1879] lr: 1.0000e-04 eta: 9:14:29 time: 0.2925 data_time: 0.0238 memory: 8198 grad_norm: 7.0377 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7972 loss: 0.7972 2022/08/03 19:55:23 - mmengine - INFO - Epoch(train) [194][1720/1879] lr: 1.0000e-04 eta: 9:14:23 time: 0.2837 data_time: 0.0197 memory: 8198 grad_norm: 7.2786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9812 loss: 0.9812 2022/08/03 19:55:29 - mmengine - INFO - Epoch(train) [194][1740/1879] lr: 1.0000e-04 eta: 9:14:18 time: 0.2845 data_time: 0.0203 memory: 8198 grad_norm: 7.3513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/03 19:55:35 - mmengine - INFO - Epoch(train) [194][1760/1879] lr: 1.0000e-04 eta: 9:14:12 time: 0.3084 data_time: 0.0275 memory: 8198 grad_norm: 7.3167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9501 loss: 0.9501 2022/08/03 19:55:41 - mmengine - INFO - Epoch(train) [194][1780/1879] lr: 1.0000e-04 eta: 9:14:06 time: 0.2903 data_time: 0.0333 memory: 8198 grad_norm: 7.0987 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9414 loss: 0.9414 2022/08/03 19:55:46 - mmengine - INFO - Epoch(train) [194][1800/1879] lr: 1.0000e-04 eta: 9:14:01 time: 0.2878 data_time: 0.0243 memory: 8198 grad_norm: 7.1033 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/03 19:55:52 - mmengine - INFO - Epoch(train) [194][1820/1879] lr: 1.0000e-04 eta: 9:13:55 time: 0.2896 data_time: 0.0301 memory: 8198 grad_norm: 6.9716 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9231 loss: 0.9231 2022/08/03 19:55:58 - mmengine - INFO - Epoch(train) [194][1840/1879] lr: 1.0000e-04 eta: 9:13:49 time: 0.2912 data_time: 0.0228 memory: 8198 grad_norm: 7.0248 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8683 loss: 0.8683 2022/08/03 19:56:04 - mmengine - INFO - Epoch(train) [194][1860/1879] lr: 1.0000e-04 eta: 9:13:44 time: 0.2966 data_time: 0.0227 memory: 8198 grad_norm: 7.3582 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9560 loss: 0.9560 2022/08/03 19:56:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:56:09 - mmengine - INFO - Epoch(train) [194][1879/1879] lr: 1.0000e-04 eta: 9:13:44 time: 0.2591 data_time: 0.0160 memory: 8198 grad_norm: 7.1960 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7451 loss: 0.7451 2022/08/03 19:56:17 - mmengine - INFO - Epoch(train) [195][20/1879] lr: 1.0000e-04 eta: 9:13:32 time: 0.4075 data_time: 0.1263 memory: 8198 grad_norm: 7.2355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8157 loss: 0.8157 2022/08/03 19:56:23 - mmengine - INFO - Epoch(train) [195][40/1879] lr: 1.0000e-04 eta: 9:13:26 time: 0.3118 data_time: 0.0217 memory: 8198 grad_norm: 7.0238 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9308 loss: 0.9308 2022/08/03 19:56:29 - mmengine - INFO - Epoch(train) [195][60/1879] lr: 1.0000e-04 eta: 9:13:20 time: 0.2901 data_time: 0.0226 memory: 8198 grad_norm: 7.4124 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/03 19:56:35 - mmengine - INFO - Epoch(train) [195][80/1879] lr: 1.0000e-04 eta: 9:13:15 time: 0.2894 data_time: 0.0273 memory: 8198 grad_norm: 7.2594 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8758 loss: 0.8758 2022/08/03 19:56:41 - mmengine - INFO - Epoch(train) [195][100/1879] lr: 1.0000e-04 eta: 9:13:09 time: 0.2871 data_time: 0.0255 memory: 8198 grad_norm: 7.1659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/08/03 19:56:47 - mmengine - INFO - Epoch(train) [195][120/1879] lr: 1.0000e-04 eta: 9:13:03 time: 0.2886 data_time: 0.0186 memory: 8198 grad_norm: 6.8483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9778 loss: 0.9778 2022/08/03 19:56:52 - mmengine - INFO - Epoch(train) [195][140/1879] lr: 1.0000e-04 eta: 9:12:58 time: 0.2848 data_time: 0.0239 memory: 8198 grad_norm: 7.0969 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8068 loss: 0.8068 2022/08/03 19:56:58 - mmengine - INFO - Epoch(train) [195][160/1879] lr: 1.0000e-04 eta: 9:12:52 time: 0.2854 data_time: 0.0209 memory: 8198 grad_norm: 7.3151 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0463 loss: 1.0463 2022/08/03 19:57:04 - mmengine - INFO - Epoch(train) [195][180/1879] lr: 1.0000e-04 eta: 9:12:46 time: 0.2868 data_time: 0.0192 memory: 8198 grad_norm: 7.1926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/08/03 19:57:10 - mmengine - INFO - Epoch(train) [195][200/1879] lr: 1.0000e-04 eta: 9:12:41 time: 0.2842 data_time: 0.0209 memory: 8198 grad_norm: 6.9912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8134 loss: 0.8134 2022/08/03 19:57:15 - mmengine - INFO - Epoch(train) [195][220/1879] lr: 1.0000e-04 eta: 9:12:35 time: 0.2894 data_time: 0.0264 memory: 8198 grad_norm: 7.1294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9390 loss: 0.9390 2022/08/03 19:57:21 - mmengine - INFO - Epoch(train) [195][240/1879] lr: 1.0000e-04 eta: 9:12:29 time: 0.2852 data_time: 0.0213 memory: 8198 grad_norm: 7.0570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0037 loss: 1.0037 2022/08/03 19:57:27 - mmengine - INFO - Epoch(train) [195][260/1879] lr: 1.0000e-04 eta: 9:12:24 time: 0.2882 data_time: 0.0214 memory: 8198 grad_norm: 6.8212 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/08/03 19:57:33 - mmengine - INFO - Epoch(train) [195][280/1879] lr: 1.0000e-04 eta: 9:12:18 time: 0.2862 data_time: 0.0194 memory: 8198 grad_norm: 7.3037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0125 loss: 1.0125 2022/08/03 19:57:39 - mmengine - INFO - Epoch(train) [195][300/1879] lr: 1.0000e-04 eta: 9:12:12 time: 0.2914 data_time: 0.0207 memory: 8198 grad_norm: 7.0580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0267 loss: 1.0267 2022/08/03 19:57:44 - mmengine - INFO - Epoch(train) [195][320/1879] lr: 1.0000e-04 eta: 9:12:06 time: 0.2880 data_time: 0.0265 memory: 8198 grad_norm: 7.0080 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9420 loss: 0.9420 2022/08/03 19:57:50 - mmengine - INFO - Epoch(train) [195][340/1879] lr: 1.0000e-04 eta: 9:12:01 time: 0.2831 data_time: 0.0194 memory: 8198 grad_norm: 7.1043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7918 loss: 0.7918 2022/08/03 19:57:56 - mmengine - INFO - Epoch(train) [195][360/1879] lr: 1.0000e-04 eta: 9:11:55 time: 0.2964 data_time: 0.0244 memory: 8198 grad_norm: 6.8721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1543 loss: 1.1543 2022/08/03 19:58:02 - mmengine - INFO - Epoch(train) [195][380/1879] lr: 1.0000e-04 eta: 9:11:49 time: 0.2882 data_time: 0.0215 memory: 8198 grad_norm: 6.8410 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/08/03 19:58:07 - mmengine - INFO - Epoch(train) [195][400/1879] lr: 1.0000e-04 eta: 9:11:44 time: 0.2838 data_time: 0.0195 memory: 8198 grad_norm: 7.2257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/08/03 19:58:13 - mmengine - INFO - Epoch(train) [195][420/1879] lr: 1.0000e-04 eta: 9:11:38 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 7.4519 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0911 loss: 1.0911 2022/08/03 19:58:19 - mmengine - INFO - Epoch(train) [195][440/1879] lr: 1.0000e-04 eta: 9:11:32 time: 0.2907 data_time: 0.0231 memory: 8198 grad_norm: 7.2083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/08/03 19:58:25 - mmengine - INFO - Epoch(train) [195][460/1879] lr: 1.0000e-04 eta: 9:11:27 time: 0.2871 data_time: 0.0212 memory: 8198 grad_norm: 7.1339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/03 19:58:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 19:58:31 - mmengine - INFO - Epoch(train) [195][480/1879] lr: 1.0000e-04 eta: 9:11:21 time: 0.2836 data_time: 0.0205 memory: 8198 grad_norm: 6.7075 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8180 loss: 0.8180 2022/08/03 19:58:36 - mmengine - INFO - Epoch(train) [195][500/1879] lr: 1.0000e-04 eta: 9:11:15 time: 0.2868 data_time: 0.0214 memory: 8198 grad_norm: 7.1424 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0986 loss: 1.0986 2022/08/03 19:58:42 - mmengine - INFO - Epoch(train) [195][520/1879] lr: 1.0000e-04 eta: 9:11:10 time: 0.2850 data_time: 0.0223 memory: 8198 grad_norm: 7.1913 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8435 loss: 0.8435 2022/08/03 19:58:48 - mmengine - INFO - Epoch(train) [195][540/1879] lr: 1.0000e-04 eta: 9:11:04 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 7.2165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8088 loss: 0.8088 2022/08/03 19:58:54 - mmengine - INFO - Epoch(train) [195][560/1879] lr: 1.0000e-04 eta: 9:10:58 time: 0.2857 data_time: 0.0189 memory: 8198 grad_norm: 7.2033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1038 loss: 1.1038 2022/08/03 19:58:59 - mmengine - INFO - Epoch(train) [195][580/1879] lr: 1.0000e-04 eta: 9:10:52 time: 0.2838 data_time: 0.0208 memory: 8198 grad_norm: 7.0486 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/08/03 19:59:05 - mmengine - INFO - Epoch(train) [195][600/1879] lr: 1.0000e-04 eta: 9:10:47 time: 0.2868 data_time: 0.0202 memory: 8198 grad_norm: 7.0687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8823 loss: 0.8823 2022/08/03 19:59:11 - mmengine - INFO - Epoch(train) [195][620/1879] lr: 1.0000e-04 eta: 9:10:41 time: 0.2886 data_time: 0.0238 memory: 8198 grad_norm: 6.6629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9068 loss: 0.9068 2022/08/03 19:59:17 - mmengine - INFO - Epoch(train) [195][640/1879] lr: 1.0000e-04 eta: 9:10:36 time: 0.2991 data_time: 0.0207 memory: 8198 grad_norm: 7.0117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9037 loss: 0.9037 2022/08/03 19:59:22 - mmengine - INFO - Epoch(train) [195][660/1879] lr: 1.0000e-04 eta: 9:10:30 time: 0.2824 data_time: 0.0200 memory: 8198 grad_norm: 6.9942 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9691 loss: 0.9691 2022/08/03 19:59:28 - mmengine - INFO - Epoch(train) [195][680/1879] lr: 1.0000e-04 eta: 9:10:24 time: 0.2911 data_time: 0.0277 memory: 8198 grad_norm: 7.2525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/08/03 19:59:34 - mmengine - INFO - Epoch(train) [195][700/1879] lr: 1.0000e-04 eta: 9:10:18 time: 0.2857 data_time: 0.0198 memory: 8198 grad_norm: 7.2325 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1170 loss: 1.1170 2022/08/03 19:59:40 - mmengine - INFO - Epoch(train) [195][720/1879] lr: 1.0000e-04 eta: 9:10:13 time: 0.2929 data_time: 0.0173 memory: 8198 grad_norm: 6.9495 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9278 loss: 0.9278 2022/08/03 19:59:46 - mmengine - INFO - Epoch(train) [195][740/1879] lr: 1.0000e-04 eta: 9:10:07 time: 0.2914 data_time: 0.0229 memory: 8198 grad_norm: 7.0077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8415 loss: 0.8415 2022/08/03 19:59:52 - mmengine - INFO - Epoch(train) [195][760/1879] lr: 1.0000e-04 eta: 9:10:01 time: 0.2845 data_time: 0.0252 memory: 8198 grad_norm: 7.0794 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7688 loss: 0.7688 2022/08/03 19:59:57 - mmengine - INFO - Epoch(train) [195][780/1879] lr: 1.0000e-04 eta: 9:09:56 time: 0.2868 data_time: 0.0187 memory: 8198 grad_norm: 6.9935 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8486 loss: 0.8486 2022/08/03 20:00:03 - mmengine - INFO - Epoch(train) [195][800/1879] lr: 1.0000e-04 eta: 9:09:50 time: 0.2865 data_time: 0.0274 memory: 8198 grad_norm: 7.3388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0136 loss: 1.0136 2022/08/03 20:00:09 - mmengine - INFO - Epoch(train) [195][820/1879] lr: 1.0000e-04 eta: 9:09:44 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 6.9841 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9002 loss: 0.9002 2022/08/03 20:00:15 - mmengine - INFO - Epoch(train) [195][840/1879] lr: 1.0000e-04 eta: 9:09:39 time: 0.2943 data_time: 0.0305 memory: 8198 grad_norm: 7.0855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9935 loss: 0.9935 2022/08/03 20:00:20 - mmengine - INFO - Epoch(train) [195][860/1879] lr: 1.0000e-04 eta: 9:09:33 time: 0.2853 data_time: 0.0226 memory: 8198 grad_norm: 7.1291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/03 20:00:26 - mmengine - INFO - Epoch(train) [195][880/1879] lr: 1.0000e-04 eta: 9:09:27 time: 0.2872 data_time: 0.0171 memory: 8198 grad_norm: 7.0576 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8661 loss: 0.8661 2022/08/03 20:00:32 - mmengine - INFO - Epoch(train) [195][900/1879] lr: 1.0000e-04 eta: 9:09:22 time: 0.2894 data_time: 0.0249 memory: 8198 grad_norm: 7.2916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0330 loss: 1.0330 2022/08/03 20:00:38 - mmengine - INFO - Epoch(train) [195][920/1879] lr: 1.0000e-04 eta: 9:09:16 time: 0.2985 data_time: 0.0205 memory: 8198 grad_norm: 7.0393 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0044 loss: 1.0044 2022/08/03 20:00:44 - mmengine - INFO - Epoch(train) [195][940/1879] lr: 1.0000e-04 eta: 9:09:10 time: 0.2852 data_time: 0.0235 memory: 8198 grad_norm: 7.0214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/08/03 20:00:50 - mmengine - INFO - Epoch(train) [195][960/1879] lr: 1.0000e-04 eta: 9:09:05 time: 0.2897 data_time: 0.0222 memory: 8198 grad_norm: 7.2344 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0254 loss: 1.0254 2022/08/03 20:00:55 - mmengine - INFO - Epoch(train) [195][980/1879] lr: 1.0000e-04 eta: 9:08:59 time: 0.2866 data_time: 0.0252 memory: 8198 grad_norm: 7.0801 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/03 20:01:01 - mmengine - INFO - Epoch(train) [195][1000/1879] lr: 1.0000e-04 eta: 9:08:53 time: 0.2850 data_time: 0.0247 memory: 8198 grad_norm: 6.6751 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/08/03 20:01:07 - mmengine - INFO - Epoch(train) [195][1020/1879] lr: 1.0000e-04 eta: 9:08:48 time: 0.2867 data_time: 0.0211 memory: 8198 grad_norm: 7.1881 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9550 loss: 0.9550 2022/08/03 20:01:13 - mmengine - INFO - Epoch(train) [195][1040/1879] lr: 1.0000e-04 eta: 9:08:42 time: 0.2895 data_time: 0.0239 memory: 8198 grad_norm: 7.0240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0436 loss: 1.0436 2022/08/03 20:01:18 - mmengine - INFO - Epoch(train) [195][1060/1879] lr: 1.0000e-04 eta: 9:08:36 time: 0.2867 data_time: 0.0231 memory: 8198 grad_norm: 7.1548 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9438 loss: 0.9438 2022/08/03 20:01:24 - mmengine - INFO - Epoch(train) [195][1080/1879] lr: 1.0000e-04 eta: 9:08:30 time: 0.2817 data_time: 0.0196 memory: 8198 grad_norm: 6.8200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8716 loss: 0.8716 2022/08/03 20:01:30 - mmengine - INFO - Epoch(train) [195][1100/1879] lr: 1.0000e-04 eta: 9:08:25 time: 0.2892 data_time: 0.0229 memory: 8198 grad_norm: 7.3108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/08/03 20:01:36 - mmengine - INFO - Epoch(train) [195][1120/1879] lr: 1.0000e-04 eta: 9:08:19 time: 0.2850 data_time: 0.0244 memory: 8198 grad_norm: 7.1955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9001 loss: 0.9001 2022/08/03 20:01:41 - mmengine - INFO - Epoch(train) [195][1140/1879] lr: 1.0000e-04 eta: 9:08:13 time: 0.2885 data_time: 0.0209 memory: 8198 grad_norm: 7.2321 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9166 loss: 0.9166 2022/08/03 20:01:47 - mmengine - INFO - Epoch(train) [195][1160/1879] lr: 1.0000e-04 eta: 9:08:08 time: 0.2883 data_time: 0.0238 memory: 8198 grad_norm: 7.2532 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1813 loss: 1.1813 2022/08/03 20:01:53 - mmengine - INFO - Epoch(train) [195][1180/1879] lr: 1.0000e-04 eta: 9:08:02 time: 0.2848 data_time: 0.0242 memory: 8198 grad_norm: 7.2349 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9799 loss: 0.9799 2022/08/03 20:01:59 - mmengine - INFO - Epoch(train) [195][1200/1879] lr: 1.0000e-04 eta: 9:07:56 time: 0.2865 data_time: 0.0257 memory: 8198 grad_norm: 7.2232 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0412 loss: 1.0412 2022/08/03 20:02:04 - mmengine - INFO - Epoch(train) [195][1220/1879] lr: 1.0000e-04 eta: 9:07:51 time: 0.2880 data_time: 0.0199 memory: 8198 grad_norm: 7.0149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/03 20:02:10 - mmengine - INFO - Epoch(train) [195][1240/1879] lr: 1.0000e-04 eta: 9:07:45 time: 0.2870 data_time: 0.0209 memory: 8198 grad_norm: 7.1109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/08/03 20:02:16 - mmengine - INFO - Epoch(train) [195][1260/1879] lr: 1.0000e-04 eta: 9:07:39 time: 0.2839 data_time: 0.0212 memory: 8198 grad_norm: 7.4367 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0527 loss: 1.0527 2022/08/03 20:02:22 - mmengine - INFO - Epoch(train) [195][1280/1879] lr: 1.0000e-04 eta: 9:07:33 time: 0.2846 data_time: 0.0226 memory: 8198 grad_norm: 7.3729 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1613 loss: 1.1613 2022/08/03 20:02:28 - mmengine - INFO - Epoch(train) [195][1300/1879] lr: 1.0000e-04 eta: 9:07:28 time: 0.2930 data_time: 0.0200 memory: 8198 grad_norm: 7.1654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9584 loss: 0.9584 2022/08/03 20:02:33 - mmengine - INFO - Epoch(train) [195][1320/1879] lr: 1.0000e-04 eta: 9:07:22 time: 0.2847 data_time: 0.0206 memory: 8198 grad_norm: 7.0407 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8174 loss: 0.8174 2022/08/03 20:02:39 - mmengine - INFO - Epoch(train) [195][1340/1879] lr: 1.0000e-04 eta: 9:07:16 time: 0.2897 data_time: 0.0218 memory: 8198 grad_norm: 6.9969 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9811 loss: 0.9811 2022/08/03 20:02:45 - mmengine - INFO - Epoch(train) [195][1360/1879] lr: 1.0000e-04 eta: 9:07:11 time: 0.2977 data_time: 0.0219 memory: 8198 grad_norm: 6.8148 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9053 loss: 0.9053 2022/08/03 20:02:51 - mmengine - INFO - Epoch(train) [195][1380/1879] lr: 1.0000e-04 eta: 9:07:05 time: 0.2826 data_time: 0.0241 memory: 8198 grad_norm: 7.3385 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/08/03 20:02:56 - mmengine - INFO - Epoch(train) [195][1400/1879] lr: 1.0000e-04 eta: 9:06:59 time: 0.2859 data_time: 0.0203 memory: 8198 grad_norm: 7.0902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9862 loss: 0.9862 2022/08/03 20:03:02 - mmengine - INFO - Epoch(train) [195][1420/1879] lr: 1.0000e-04 eta: 9:06:54 time: 0.2847 data_time: 0.0246 memory: 8198 grad_norm: 6.9571 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9858 loss: 0.9858 2022/08/03 20:03:08 - mmengine - INFO - Epoch(train) [195][1440/1879] lr: 1.0000e-04 eta: 9:06:48 time: 0.2906 data_time: 0.0224 memory: 8198 grad_norm: 7.1403 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/08/03 20:03:14 - mmengine - INFO - Epoch(train) [195][1460/1879] lr: 1.0000e-04 eta: 9:06:42 time: 0.2873 data_time: 0.0229 memory: 8198 grad_norm: 7.3077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0435 loss: 1.0435 2022/08/03 20:03:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:03:20 - mmengine - INFO - Epoch(train) [195][1480/1879] lr: 1.0000e-04 eta: 9:06:37 time: 0.2870 data_time: 0.0271 memory: 8198 grad_norm: 7.0922 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0564 loss: 1.0564 2022/08/03 20:03:25 - mmengine - INFO - Epoch(train) [195][1500/1879] lr: 1.0000e-04 eta: 9:06:31 time: 0.2912 data_time: 0.0228 memory: 8198 grad_norm: 7.3121 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0353 loss: 1.0353 2022/08/03 20:03:31 - mmengine - INFO - Epoch(train) [195][1520/1879] lr: 1.0000e-04 eta: 9:06:25 time: 0.2969 data_time: 0.0390 memory: 8198 grad_norm: 7.1311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/08/03 20:03:37 - mmengine - INFO - Epoch(train) [195][1540/1879] lr: 1.0000e-04 eta: 9:06:20 time: 0.2856 data_time: 0.0233 memory: 8198 grad_norm: 7.3188 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9875 loss: 0.9875 2022/08/03 20:03:43 - mmengine - INFO - Epoch(train) [195][1560/1879] lr: 1.0000e-04 eta: 9:06:14 time: 0.2886 data_time: 0.0232 memory: 8198 grad_norm: 7.3708 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0992 loss: 1.0992 2022/08/03 20:03:49 - mmengine - INFO - Epoch(train) [195][1580/1879] lr: 1.0000e-04 eta: 9:06:08 time: 0.3130 data_time: 0.0243 memory: 8198 grad_norm: 7.2867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0258 loss: 1.0258 2022/08/03 20:03:55 - mmengine - INFO - Epoch(train) [195][1600/1879] lr: 1.0000e-04 eta: 9:06:03 time: 0.2862 data_time: 0.0251 memory: 8198 grad_norm: 7.2252 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9273 loss: 0.9273 2022/08/03 20:04:01 - mmengine - INFO - Epoch(train) [195][1620/1879] lr: 1.0000e-04 eta: 9:05:57 time: 0.2866 data_time: 0.0207 memory: 8198 grad_norm: 7.0944 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8847 loss: 0.8847 2022/08/03 20:04:07 - mmengine - INFO - Epoch(train) [195][1640/1879] lr: 1.0000e-04 eta: 9:05:52 time: 0.3341 data_time: 0.0187 memory: 8198 grad_norm: 7.2973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0353 loss: 1.0353 2022/08/03 20:04:13 - mmengine - INFO - Epoch(train) [195][1660/1879] lr: 1.0000e-04 eta: 9:05:46 time: 0.2837 data_time: 0.0192 memory: 8198 grad_norm: 7.0875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8781 loss: 0.8781 2022/08/03 20:04:19 - mmengine - INFO - Epoch(train) [195][1680/1879] lr: 1.0000e-04 eta: 9:05:40 time: 0.2878 data_time: 0.0252 memory: 8198 grad_norm: 7.0987 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7572 loss: 0.7572 2022/08/03 20:04:25 - mmengine - INFO - Epoch(train) [195][1700/1879] lr: 1.0000e-04 eta: 9:05:35 time: 0.2889 data_time: 0.0215 memory: 8198 grad_norm: 6.8309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0376 loss: 1.0376 2022/08/03 20:04:30 - mmengine - INFO - Epoch(train) [195][1720/1879] lr: 1.0000e-04 eta: 9:05:29 time: 0.2846 data_time: 0.0257 memory: 8198 grad_norm: 7.2522 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9857 loss: 0.9857 2022/08/03 20:04:36 - mmengine - INFO - Epoch(train) [195][1740/1879] lr: 1.0000e-04 eta: 9:05:23 time: 0.2909 data_time: 0.0250 memory: 8198 grad_norm: 7.1297 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0304 loss: 1.0304 2022/08/03 20:04:42 - mmengine - INFO - Epoch(train) [195][1760/1879] lr: 1.0000e-04 eta: 9:05:18 time: 0.2855 data_time: 0.0235 memory: 8198 grad_norm: 7.3129 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9227 loss: 0.9227 2022/08/03 20:04:48 - mmengine - INFO - Epoch(train) [195][1780/1879] lr: 1.0000e-04 eta: 9:05:12 time: 0.2997 data_time: 0.0226 memory: 8198 grad_norm: 7.3793 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9522 loss: 0.9522 2022/08/03 20:04:54 - mmengine - INFO - Epoch(train) [195][1800/1879] lr: 1.0000e-04 eta: 9:05:06 time: 0.2833 data_time: 0.0228 memory: 8198 grad_norm: 7.1120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0610 loss: 1.0610 2022/08/03 20:04:59 - mmengine - INFO - Epoch(train) [195][1820/1879] lr: 1.0000e-04 eta: 9:05:00 time: 0.2860 data_time: 0.0215 memory: 8198 grad_norm: 7.2449 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0915 loss: 1.0915 2022/08/03 20:05:05 - mmengine - INFO - Epoch(train) [195][1840/1879] lr: 1.0000e-04 eta: 9:04:55 time: 0.2944 data_time: 0.0267 memory: 8198 grad_norm: 7.1647 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9952 loss: 0.9952 2022/08/03 20:05:11 - mmengine - INFO - Epoch(train) [195][1860/1879] lr: 1.0000e-04 eta: 9:04:49 time: 0.2818 data_time: 0.0167 memory: 8198 grad_norm: 7.1261 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8322 loss: 0.8322 2022/08/03 20:05:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:05:16 - mmengine - INFO - Epoch(train) [195][1879/1879] lr: 1.0000e-04 eta: 9:04:49 time: 0.2607 data_time: 0.0145 memory: 8198 grad_norm: 7.4139 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9761 loss: 0.9761 2022/08/03 20:05:22 - mmengine - INFO - Epoch(val) [195][20/155] eta: 0:00:43 time: 0.3213 data_time: 0.2304 memory: 1514 2022/08/03 20:05:27 - mmengine - INFO - Epoch(val) [195][40/155] eta: 0:00:27 time: 0.2358 data_time: 0.1483 memory: 1514 2022/08/03 20:05:33 - mmengine - INFO - Epoch(val) [195][60/155] eta: 0:00:27 time: 0.2946 data_time: 0.2097 memory: 1514 2022/08/03 20:05:38 - mmengine - INFO - Epoch(val) [195][80/155] eta: 0:00:17 time: 0.2302 data_time: 0.1255 memory: 1514 2022/08/03 20:05:44 - mmengine - INFO - Epoch(val) [195][100/155] eta: 0:00:16 time: 0.2996 data_time: 0.2134 memory: 1514 2022/08/03 20:05:48 - mmengine - INFO - Epoch(val) [195][120/155] eta: 0:00:07 time: 0.2044 data_time: 0.1195 memory: 1514 2022/08/03 20:05:54 - mmengine - INFO - Epoch(val) [195][140/155] eta: 0:00:04 time: 0.2991 data_time: 0.2137 memory: 1514 2022/08/03 20:06:03 - mmengine - INFO - Epoch(val) [195][155/155] acc/top1: 0.6801 acc/top5: 0.8682 acc/mean1: 0.6800 2022/08/03 20:06:12 - mmengine - INFO - Epoch(train) [196][20/1879] lr: 1.0000e-04 eta: 9:04:37 time: 0.4070 data_time: 0.1160 memory: 8198 grad_norm: 7.3433 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9105 loss: 0.9105 2022/08/03 20:06:17 - mmengine - INFO - Epoch(train) [196][40/1879] lr: 1.0000e-04 eta: 9:04:31 time: 0.2890 data_time: 0.0182 memory: 8198 grad_norm: 6.9495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/08/03 20:06:23 - mmengine - INFO - Epoch(train) [196][60/1879] lr: 1.0000e-04 eta: 9:04:26 time: 0.2948 data_time: 0.0276 memory: 8198 grad_norm: 7.0865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8956 loss: 0.8956 2022/08/03 20:06:29 - mmengine - INFO - Epoch(train) [196][80/1879] lr: 1.0000e-04 eta: 9:04:20 time: 0.2874 data_time: 0.0183 memory: 8198 grad_norm: 6.9811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9341 loss: 0.9341 2022/08/03 20:06:35 - mmengine - INFO - Epoch(train) [196][100/1879] lr: 1.0000e-04 eta: 9:04:14 time: 0.2836 data_time: 0.0196 memory: 8198 grad_norm: 7.3114 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9434 loss: 0.9434 2022/08/03 20:06:40 - mmengine - INFO - Epoch(train) [196][120/1879] lr: 1.0000e-04 eta: 9:04:09 time: 0.2861 data_time: 0.0212 memory: 8198 grad_norm: 6.9852 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0458 loss: 1.0458 2022/08/03 20:06:46 - mmengine - INFO - Epoch(train) [196][140/1879] lr: 1.0000e-04 eta: 9:04:03 time: 0.2930 data_time: 0.0217 memory: 8198 grad_norm: 7.1594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8571 loss: 0.8571 2022/08/03 20:06:52 - mmengine - INFO - Epoch(train) [196][160/1879] lr: 1.0000e-04 eta: 9:03:57 time: 0.2838 data_time: 0.0210 memory: 8198 grad_norm: 7.0711 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9096 loss: 0.9096 2022/08/03 20:06:58 - mmengine - INFO - Epoch(train) [196][180/1879] lr: 1.0000e-04 eta: 9:03:52 time: 0.2862 data_time: 0.0221 memory: 8198 grad_norm: 7.1792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0457 loss: 1.0457 2022/08/03 20:07:04 - mmengine - INFO - Epoch(train) [196][200/1879] lr: 1.0000e-04 eta: 9:03:46 time: 0.2848 data_time: 0.0226 memory: 8198 grad_norm: 6.9779 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8761 loss: 0.8761 2022/08/03 20:07:10 - mmengine - INFO - Epoch(train) [196][220/1879] lr: 1.0000e-04 eta: 9:03:40 time: 0.3044 data_time: 0.0193 memory: 8198 grad_norm: 7.4409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1749 loss: 1.1749 2022/08/03 20:07:16 - mmengine - INFO - Epoch(train) [196][240/1879] lr: 1.0000e-04 eta: 9:03:35 time: 0.2927 data_time: 0.0223 memory: 8198 grad_norm: 7.2352 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0602 loss: 1.0602 2022/08/03 20:07:21 - mmengine - INFO - Epoch(train) [196][260/1879] lr: 1.0000e-04 eta: 9:03:29 time: 0.2849 data_time: 0.0229 memory: 8198 grad_norm: 6.9827 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9151 loss: 0.9151 2022/08/03 20:07:28 - mmengine - INFO - Epoch(train) [196][280/1879] lr: 1.0000e-04 eta: 9:03:23 time: 0.3167 data_time: 0.0201 memory: 8198 grad_norm: 7.0302 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9223 loss: 0.9223 2022/08/03 20:07:33 - mmengine - INFO - Epoch(train) [196][300/1879] lr: 1.0000e-04 eta: 9:03:18 time: 0.2845 data_time: 0.0207 memory: 8198 grad_norm: 7.1486 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9188 loss: 0.9188 2022/08/03 20:07:39 - mmengine - INFO - Epoch(train) [196][320/1879] lr: 1.0000e-04 eta: 9:03:12 time: 0.2876 data_time: 0.0257 memory: 8198 grad_norm: 7.2038 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9306 loss: 0.9306 2022/08/03 20:07:45 - mmengine - INFO - Epoch(train) [196][340/1879] lr: 1.0000e-04 eta: 9:03:06 time: 0.2983 data_time: 0.0385 memory: 8198 grad_norm: 7.1498 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9598 loss: 0.9598 2022/08/03 20:07:51 - mmengine - INFO - Epoch(train) [196][360/1879] lr: 1.0000e-04 eta: 9:03:01 time: 0.2855 data_time: 0.0258 memory: 8198 grad_norm: 7.2739 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9548 loss: 0.9548 2022/08/03 20:07:57 - mmengine - INFO - Epoch(train) [196][380/1879] lr: 1.0000e-04 eta: 9:02:55 time: 0.2870 data_time: 0.0253 memory: 8198 grad_norm: 6.9957 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0199 loss: 1.0199 2022/08/03 20:08:02 - mmengine - INFO - Epoch(train) [196][400/1879] lr: 1.0000e-04 eta: 9:02:49 time: 0.2838 data_time: 0.0209 memory: 8198 grad_norm: 7.1161 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7746 loss: 0.7746 2022/08/03 20:08:08 - mmengine - INFO - Epoch(train) [196][420/1879] lr: 1.0000e-04 eta: 9:02:44 time: 0.2841 data_time: 0.0185 memory: 8198 grad_norm: 7.1837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1430 loss: 1.1430 2022/08/03 20:08:14 - mmengine - INFO - Epoch(train) [196][440/1879] lr: 1.0000e-04 eta: 9:02:38 time: 0.2851 data_time: 0.0204 memory: 8198 grad_norm: 6.9628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8617 loss: 0.8617 2022/08/03 20:08:20 - mmengine - INFO - Epoch(train) [196][460/1879] lr: 1.0000e-04 eta: 9:02:32 time: 0.2890 data_time: 0.0229 memory: 8198 grad_norm: 7.0306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7178 loss: 0.7178 2022/08/03 20:08:25 - mmengine - INFO - Epoch(train) [196][480/1879] lr: 1.0000e-04 eta: 9:02:26 time: 0.2834 data_time: 0.0226 memory: 8198 grad_norm: 7.0603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8773 loss: 0.8773 2022/08/03 20:08:31 - mmengine - INFO - Epoch(train) [196][500/1879] lr: 1.0000e-04 eta: 9:02:21 time: 0.2886 data_time: 0.0241 memory: 8198 grad_norm: 7.2326 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9983 loss: 0.9983 2022/08/03 20:08:37 - mmengine - INFO - Epoch(train) [196][520/1879] lr: 1.0000e-04 eta: 9:02:15 time: 0.2891 data_time: 0.0247 memory: 8198 grad_norm: 7.1038 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9919 loss: 0.9919 2022/08/03 20:08:43 - mmengine - INFO - Epoch(train) [196][540/1879] lr: 1.0000e-04 eta: 9:02:09 time: 0.2919 data_time: 0.0199 memory: 8198 grad_norm: 7.0837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/08/03 20:08:48 - mmengine - INFO - Epoch(train) [196][560/1879] lr: 1.0000e-04 eta: 9:02:04 time: 0.2825 data_time: 0.0182 memory: 8198 grad_norm: 7.0649 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8973 loss: 0.8973 2022/08/03 20:08:54 - mmengine - INFO - Epoch(train) [196][580/1879] lr: 1.0000e-04 eta: 9:01:58 time: 0.2873 data_time: 0.0238 memory: 8198 grad_norm: 7.0924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/08/03 20:08:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:09:00 - mmengine - INFO - Epoch(train) [196][600/1879] lr: 1.0000e-04 eta: 9:01:52 time: 0.2874 data_time: 0.0232 memory: 8198 grad_norm: 7.2258 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/08/03 20:09:06 - mmengine - INFO - Epoch(train) [196][620/1879] lr: 1.0000e-04 eta: 9:01:47 time: 0.2842 data_time: 0.0231 memory: 8198 grad_norm: 7.5278 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0230 loss: 1.0230 2022/08/03 20:09:11 - mmengine - INFO - Epoch(train) [196][640/1879] lr: 1.0000e-04 eta: 9:01:41 time: 0.2857 data_time: 0.0201 memory: 8198 grad_norm: 7.0396 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/08/03 20:09:18 - mmengine - INFO - Epoch(train) [196][660/1879] lr: 1.0000e-04 eta: 9:01:35 time: 0.3164 data_time: 0.0224 memory: 8198 grad_norm: 7.1314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9793 loss: 0.9793 2022/08/03 20:09:24 - mmengine - INFO - Epoch(train) [196][680/1879] lr: 1.0000e-04 eta: 9:01:30 time: 0.2852 data_time: 0.0209 memory: 8198 grad_norm: 7.0176 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7861 loss: 0.7861 2022/08/03 20:09:29 - mmengine - INFO - Epoch(train) [196][700/1879] lr: 1.0000e-04 eta: 9:01:24 time: 0.2919 data_time: 0.0196 memory: 8198 grad_norm: 7.0373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/08/03 20:09:35 - mmengine - INFO - Epoch(train) [196][720/1879] lr: 1.0000e-04 eta: 9:01:18 time: 0.2909 data_time: 0.0237 memory: 8198 grad_norm: 7.1127 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8253 loss: 0.8253 2022/08/03 20:09:41 - mmengine - INFO - Epoch(train) [196][740/1879] lr: 1.0000e-04 eta: 9:01:13 time: 0.2822 data_time: 0.0229 memory: 8198 grad_norm: 6.9312 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/03 20:09:47 - mmengine - INFO - Epoch(train) [196][760/1879] lr: 1.0000e-04 eta: 9:01:07 time: 0.2834 data_time: 0.0182 memory: 8198 grad_norm: 6.9259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8550 loss: 0.8550 2022/08/03 20:09:52 - mmengine - INFO - Epoch(train) [196][780/1879] lr: 1.0000e-04 eta: 9:01:01 time: 0.2838 data_time: 0.0211 memory: 8198 grad_norm: 7.0326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8997 loss: 0.8997 2022/08/03 20:09:58 - mmengine - INFO - Epoch(train) [196][800/1879] lr: 1.0000e-04 eta: 9:00:56 time: 0.2937 data_time: 0.0278 memory: 8198 grad_norm: 7.0956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9459 loss: 0.9459 2022/08/03 20:10:04 - mmengine - INFO - Epoch(train) [196][820/1879] lr: 1.0000e-04 eta: 9:00:50 time: 0.2862 data_time: 0.0245 memory: 8198 grad_norm: 7.3381 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0590 loss: 1.0590 2022/08/03 20:10:10 - mmengine - INFO - Epoch(train) [196][840/1879] lr: 1.0000e-04 eta: 9:00:44 time: 0.2863 data_time: 0.0246 memory: 8198 grad_norm: 7.0443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8102 loss: 0.8102 2022/08/03 20:10:16 - mmengine - INFO - Epoch(train) [196][860/1879] lr: 1.0000e-04 eta: 9:00:39 time: 0.2921 data_time: 0.0250 memory: 8198 grad_norm: 7.1762 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0208 loss: 1.0208 2022/08/03 20:10:21 - mmengine - INFO - Epoch(train) [196][880/1879] lr: 1.0000e-04 eta: 9:00:33 time: 0.2830 data_time: 0.0197 memory: 8198 grad_norm: 7.1643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8869 loss: 0.8869 2022/08/03 20:10:27 - mmengine - INFO - Epoch(train) [196][900/1879] lr: 1.0000e-04 eta: 9:00:27 time: 0.2919 data_time: 0.0249 memory: 8198 grad_norm: 7.1489 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0936 loss: 1.0936 2022/08/03 20:10:33 - mmengine - INFO - Epoch(train) [196][920/1879] lr: 1.0000e-04 eta: 9:00:21 time: 0.2844 data_time: 0.0180 memory: 8198 grad_norm: 7.3631 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8316 loss: 0.8316 2022/08/03 20:10:39 - mmengine - INFO - Epoch(train) [196][940/1879] lr: 1.0000e-04 eta: 9:00:16 time: 0.2930 data_time: 0.0175 memory: 8198 grad_norm: 6.8590 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9029 loss: 0.9029 2022/08/03 20:10:44 - mmengine - INFO - Epoch(train) [196][960/1879] lr: 1.0000e-04 eta: 9:00:10 time: 0.2856 data_time: 0.0231 memory: 8198 grad_norm: 7.1592 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0860 loss: 1.0860 2022/08/03 20:10:50 - mmengine - INFO - Epoch(train) [196][980/1879] lr: 1.0000e-04 eta: 9:00:04 time: 0.2962 data_time: 0.0322 memory: 8198 grad_norm: 6.9874 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9692 loss: 0.9692 2022/08/03 20:10:56 - mmengine - INFO - Epoch(train) [196][1000/1879] lr: 1.0000e-04 eta: 8:59:59 time: 0.2919 data_time: 0.0169 memory: 8198 grad_norm: 7.0947 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/08/03 20:11:02 - mmengine - INFO - Epoch(train) [196][1020/1879] lr: 1.0000e-04 eta: 8:59:53 time: 0.2870 data_time: 0.0270 memory: 8198 grad_norm: 7.3550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/08/03 20:11:08 - mmengine - INFO - Epoch(train) [196][1040/1879] lr: 1.0000e-04 eta: 8:59:47 time: 0.2907 data_time: 0.0216 memory: 8198 grad_norm: 7.0246 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0066 loss: 1.0066 2022/08/03 20:11:14 - mmengine - INFO - Epoch(train) [196][1060/1879] lr: 1.0000e-04 eta: 8:59:42 time: 0.2868 data_time: 0.0243 memory: 8198 grad_norm: 7.1010 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0418 loss: 1.0418 2022/08/03 20:11:19 - mmengine - INFO - Epoch(train) [196][1080/1879] lr: 1.0000e-04 eta: 8:59:36 time: 0.2889 data_time: 0.0273 memory: 8198 grad_norm: 7.3069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1120 loss: 1.1120 2022/08/03 20:11:25 - mmengine - INFO - Epoch(train) [196][1100/1879] lr: 1.0000e-04 eta: 8:59:30 time: 0.2858 data_time: 0.0237 memory: 8198 grad_norm: 7.2254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0508 loss: 1.0508 2022/08/03 20:11:31 - mmengine - INFO - Epoch(train) [196][1120/1879] lr: 1.0000e-04 eta: 8:59:25 time: 0.2843 data_time: 0.0204 memory: 8198 grad_norm: 7.1717 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9351 loss: 0.9351 2022/08/03 20:11:37 - mmengine - INFO - Epoch(train) [196][1140/1879] lr: 1.0000e-04 eta: 8:59:19 time: 0.2869 data_time: 0.0240 memory: 8198 grad_norm: 6.9526 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/08/03 20:11:43 - mmengine - INFO - Epoch(train) [196][1160/1879] lr: 1.0000e-04 eta: 8:59:13 time: 0.2920 data_time: 0.0275 memory: 8198 grad_norm: 7.1702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8557 loss: 0.8557 2022/08/03 20:11:48 - mmengine - INFO - Epoch(train) [196][1180/1879] lr: 1.0000e-04 eta: 8:59:08 time: 0.2949 data_time: 0.0196 memory: 8198 grad_norm: 7.2207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8514 loss: 0.8514 2022/08/03 20:11:54 - mmengine - INFO - Epoch(train) [196][1200/1879] lr: 1.0000e-04 eta: 8:59:02 time: 0.2877 data_time: 0.0223 memory: 8198 grad_norm: 7.1494 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0258 loss: 1.0258 2022/08/03 20:12:00 - mmengine - INFO - Epoch(train) [196][1220/1879] lr: 1.0000e-04 eta: 8:58:56 time: 0.2924 data_time: 0.0253 memory: 8198 grad_norm: 7.0825 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9384 loss: 0.9384 2022/08/03 20:12:06 - mmengine - INFO - Epoch(train) [196][1240/1879] lr: 1.0000e-04 eta: 8:58:51 time: 0.2889 data_time: 0.0265 memory: 8198 grad_norm: 6.9320 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8912 loss: 0.8912 2022/08/03 20:12:12 - mmengine - INFO - Epoch(train) [196][1260/1879] lr: 1.0000e-04 eta: 8:58:45 time: 0.2924 data_time: 0.0200 memory: 8198 grad_norm: 7.2671 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9466 loss: 0.9466 2022/08/03 20:12:18 - mmengine - INFO - Epoch(train) [196][1280/1879] lr: 1.0000e-04 eta: 8:58:39 time: 0.2843 data_time: 0.0203 memory: 8198 grad_norm: 6.9854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8375 loss: 0.8375 2022/08/03 20:12:23 - mmengine - INFO - Epoch(train) [196][1300/1879] lr: 1.0000e-04 eta: 8:58:34 time: 0.2938 data_time: 0.0267 memory: 8198 grad_norm: 7.1462 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/08/03 20:12:29 - mmengine - INFO - Epoch(train) [196][1320/1879] lr: 1.0000e-04 eta: 8:58:28 time: 0.2935 data_time: 0.0206 memory: 8198 grad_norm: 7.1863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0390 loss: 1.0390 2022/08/03 20:12:35 - mmengine - INFO - Epoch(train) [196][1340/1879] lr: 1.0000e-04 eta: 8:58:22 time: 0.2868 data_time: 0.0225 memory: 8198 grad_norm: 7.3180 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0560 loss: 1.0560 2022/08/03 20:12:41 - mmengine - INFO - Epoch(train) [196][1360/1879] lr: 1.0000e-04 eta: 8:58:17 time: 0.2858 data_time: 0.0252 memory: 8198 grad_norm: 7.2563 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2104 loss: 1.2104 2022/08/03 20:12:47 - mmengine - INFO - Epoch(train) [196][1380/1879] lr: 1.0000e-04 eta: 8:58:11 time: 0.3048 data_time: 0.0201 memory: 8198 grad_norm: 7.1646 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1213 loss: 1.1213 2022/08/03 20:12:53 - mmengine - INFO - Epoch(train) [196][1400/1879] lr: 1.0000e-04 eta: 8:58:05 time: 0.2838 data_time: 0.0201 memory: 8198 grad_norm: 6.9205 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9565 loss: 0.9565 2022/08/03 20:12:58 - mmengine - INFO - Epoch(train) [196][1420/1879] lr: 1.0000e-04 eta: 8:58:00 time: 0.2872 data_time: 0.0232 memory: 8198 grad_norm: 6.9947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8909 loss: 0.8909 2022/08/03 20:13:04 - mmengine - INFO - Epoch(train) [196][1440/1879] lr: 1.0000e-04 eta: 8:57:54 time: 0.2940 data_time: 0.0239 memory: 8198 grad_norm: 7.3647 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0626 loss: 1.0626 2022/08/03 20:13:10 - mmengine - INFO - Epoch(train) [196][1460/1879] lr: 1.0000e-04 eta: 8:57:48 time: 0.2845 data_time: 0.0202 memory: 8198 grad_norm: 7.1759 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9066 loss: 0.9066 2022/08/03 20:13:16 - mmengine - INFO - Epoch(train) [196][1480/1879] lr: 1.0000e-04 eta: 8:57:43 time: 0.2924 data_time: 0.0268 memory: 8198 grad_norm: 7.0993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9230 loss: 0.9230 2022/08/03 20:13:22 - mmengine - INFO - Epoch(train) [196][1500/1879] lr: 1.0000e-04 eta: 8:57:37 time: 0.2848 data_time: 0.0258 memory: 8198 grad_norm: 7.1121 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0252 loss: 1.0252 2022/08/03 20:13:27 - mmengine - INFO - Epoch(train) [196][1520/1879] lr: 1.0000e-04 eta: 8:57:31 time: 0.2839 data_time: 0.0224 memory: 8198 grad_norm: 7.0379 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/03 20:13:33 - mmengine - INFO - Epoch(train) [196][1540/1879] lr: 1.0000e-04 eta: 8:57:26 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 6.9126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9278 loss: 0.9278 2022/08/03 20:13:39 - mmengine - INFO - Epoch(train) [196][1560/1879] lr: 1.0000e-04 eta: 8:57:20 time: 0.2915 data_time: 0.0227 memory: 8198 grad_norm: 7.1149 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1047 loss: 1.1047 2022/08/03 20:13:45 - mmengine - INFO - Epoch(train) [196][1580/1879] lr: 1.0000e-04 eta: 8:57:14 time: 0.2860 data_time: 0.0233 memory: 8198 grad_norm: 7.1697 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8246 loss: 0.8246 2022/08/03 20:13:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:13:51 - mmengine - INFO - Epoch(train) [196][1600/1879] lr: 1.0000e-04 eta: 8:57:08 time: 0.2864 data_time: 0.0260 memory: 8198 grad_norm: 7.0682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0716 loss: 1.0716 2022/08/03 20:13:56 - mmengine - INFO - Epoch(train) [196][1620/1879] lr: 1.0000e-04 eta: 8:57:03 time: 0.2904 data_time: 0.0230 memory: 8198 grad_norm: 7.0424 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0283 loss: 1.0283 2022/08/03 20:14:02 - mmengine - INFO - Epoch(train) [196][1640/1879] lr: 1.0000e-04 eta: 8:56:57 time: 0.2854 data_time: 0.0245 memory: 8198 grad_norm: 6.8980 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8919 loss: 0.8919 2022/08/03 20:14:08 - mmengine - INFO - Epoch(train) [196][1660/1879] lr: 1.0000e-04 eta: 8:56:51 time: 0.2816 data_time: 0.0181 memory: 8198 grad_norm: 7.2449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/08/03 20:14:13 - mmengine - INFO - Epoch(train) [196][1680/1879] lr: 1.0000e-04 eta: 8:56:46 time: 0.2850 data_time: 0.0193 memory: 8198 grad_norm: 6.9784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8738 loss: 0.8738 2022/08/03 20:14:19 - mmengine - INFO - Epoch(train) [196][1700/1879] lr: 1.0000e-04 eta: 8:56:40 time: 0.2940 data_time: 0.0228 memory: 8198 grad_norm: 7.1724 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9598 loss: 0.9598 2022/08/03 20:14:25 - mmengine - INFO - Epoch(train) [196][1720/1879] lr: 1.0000e-04 eta: 8:56:34 time: 0.2864 data_time: 0.0241 memory: 8198 grad_norm: 7.4091 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0004 loss: 1.0004 2022/08/03 20:14:31 - mmengine - INFO - Epoch(train) [196][1740/1879] lr: 1.0000e-04 eta: 8:56:29 time: 0.2845 data_time: 0.0188 memory: 8198 grad_norm: 7.3712 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0359 loss: 1.0359 2022/08/03 20:14:37 - mmengine - INFO - Epoch(train) [196][1760/1879] lr: 1.0000e-04 eta: 8:56:23 time: 0.2961 data_time: 0.0224 memory: 8198 grad_norm: 7.2166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1115 loss: 1.1115 2022/08/03 20:14:42 - mmengine - INFO - Epoch(train) [196][1780/1879] lr: 1.0000e-04 eta: 8:56:17 time: 0.2823 data_time: 0.0173 memory: 8198 grad_norm: 7.1395 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/08/03 20:14:48 - mmengine - INFO - Epoch(train) [196][1800/1879] lr: 1.0000e-04 eta: 8:56:12 time: 0.2866 data_time: 0.0202 memory: 8198 grad_norm: 7.1663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9484 loss: 0.9484 2022/08/03 20:14:54 - mmengine - INFO - Epoch(train) [196][1820/1879] lr: 1.0000e-04 eta: 8:56:06 time: 0.2846 data_time: 0.0256 memory: 8198 grad_norm: 7.2497 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9797 loss: 0.9797 2022/08/03 20:15:00 - mmengine - INFO - Epoch(train) [196][1840/1879] lr: 1.0000e-04 eta: 8:56:00 time: 0.2921 data_time: 0.0211 memory: 8198 grad_norm: 7.3793 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0161 loss: 1.0161 2022/08/03 20:15:06 - mmengine - INFO - Epoch(train) [196][1860/1879] lr: 1.0000e-04 eta: 8:55:54 time: 0.2898 data_time: 0.0232 memory: 8198 grad_norm: 7.0877 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0974 loss: 1.0974 2022/08/03 20:15:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:15:11 - mmengine - INFO - Epoch(train) [196][1879/1879] lr: 1.0000e-04 eta: 8:55:54 time: 0.2567 data_time: 0.0155 memory: 8198 grad_norm: 7.3572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/08/03 20:15:11 - mmengine - INFO - Saving checkpoint at 196 epochs 2022/08/03 20:15:21 - mmengine - INFO - Epoch(train) [197][20/1879] lr: 1.0000e-04 eta: 8:55:42 time: 0.3694 data_time: 0.0994 memory: 8198 grad_norm: 7.1349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9696 loss: 0.9696 2022/08/03 20:15:26 - mmengine - INFO - Epoch(train) [197][40/1879] lr: 1.0000e-04 eta: 8:55:37 time: 0.2904 data_time: 0.0282 memory: 8198 grad_norm: 7.2996 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0793 loss: 1.0793 2022/08/03 20:15:32 - mmengine - INFO - Epoch(train) [197][60/1879] lr: 1.0000e-04 eta: 8:55:31 time: 0.2875 data_time: 0.0266 memory: 8198 grad_norm: 7.1594 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0788 loss: 1.0788 2022/08/03 20:15:38 - mmengine - INFO - Epoch(train) [197][80/1879] lr: 1.0000e-04 eta: 8:55:25 time: 0.2899 data_time: 0.0255 memory: 8198 grad_norm: 6.9726 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9511 loss: 0.9511 2022/08/03 20:15:44 - mmengine - INFO - Epoch(train) [197][100/1879] lr: 1.0000e-04 eta: 8:55:19 time: 0.2849 data_time: 0.0220 memory: 8198 grad_norm: 7.0130 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8451 loss: 0.8451 2022/08/03 20:15:49 - mmengine - INFO - Epoch(train) [197][120/1879] lr: 1.0000e-04 eta: 8:55:14 time: 0.2914 data_time: 0.0276 memory: 8198 grad_norm: 7.2425 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1675 loss: 1.1675 2022/08/03 20:15:55 - mmengine - INFO - Epoch(train) [197][140/1879] lr: 1.0000e-04 eta: 8:55:08 time: 0.2848 data_time: 0.0241 memory: 8198 grad_norm: 7.2999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0925 loss: 1.0925 2022/08/03 20:16:01 - mmengine - INFO - Epoch(train) [197][160/1879] lr: 1.0000e-04 eta: 8:55:02 time: 0.2971 data_time: 0.0226 memory: 8198 grad_norm: 7.0870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0835 loss: 1.0835 2022/08/03 20:16:07 - mmengine - INFO - Epoch(train) [197][180/1879] lr: 1.0000e-04 eta: 8:54:57 time: 0.2841 data_time: 0.0202 memory: 8198 grad_norm: 7.3521 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1165 loss: 1.1165 2022/08/03 20:16:13 - mmengine - INFO - Epoch(train) [197][200/1879] lr: 1.0000e-04 eta: 8:54:51 time: 0.2856 data_time: 0.0199 memory: 8198 grad_norm: 7.2106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/03 20:16:18 - mmengine - INFO - Epoch(train) [197][220/1879] lr: 1.0000e-04 eta: 8:54:45 time: 0.2858 data_time: 0.0241 memory: 8198 grad_norm: 7.1157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/08/03 20:16:24 - mmengine - INFO - Epoch(train) [197][240/1879] lr: 1.0000e-04 eta: 8:54:40 time: 0.2887 data_time: 0.0277 memory: 8198 grad_norm: 7.1499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/08/03 20:16:30 - mmengine - INFO - Epoch(train) [197][260/1879] lr: 1.0000e-04 eta: 8:54:34 time: 0.2910 data_time: 0.0257 memory: 8198 grad_norm: 7.2462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7660 loss: 0.7660 2022/08/03 20:16:36 - mmengine - INFO - Epoch(train) [197][280/1879] lr: 1.0000e-04 eta: 8:54:28 time: 0.2870 data_time: 0.0237 memory: 8198 grad_norm: 7.0505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8812 loss: 0.8812 2022/08/03 20:16:41 - mmengine - INFO - Epoch(train) [197][300/1879] lr: 1.0000e-04 eta: 8:54:23 time: 0.2847 data_time: 0.0212 memory: 8198 grad_norm: 7.2749 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0575 loss: 1.0575 2022/08/03 20:16:47 - mmengine - INFO - Epoch(train) [197][320/1879] lr: 1.0000e-04 eta: 8:54:17 time: 0.2874 data_time: 0.0211 memory: 8198 grad_norm: 7.1475 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0203 loss: 1.0203 2022/08/03 20:16:53 - mmengine - INFO - Epoch(train) [197][340/1879] lr: 1.0000e-04 eta: 8:54:11 time: 0.2868 data_time: 0.0266 memory: 8198 grad_norm: 7.2579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/03 20:16:59 - mmengine - INFO - Epoch(train) [197][360/1879] lr: 1.0000e-04 eta: 8:54:06 time: 0.2905 data_time: 0.0243 memory: 8198 grad_norm: 7.0736 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0515 loss: 1.0515 2022/08/03 20:17:05 - mmengine - INFO - Epoch(train) [197][380/1879] lr: 1.0000e-04 eta: 8:54:00 time: 0.2829 data_time: 0.0192 memory: 8198 grad_norm: 6.9925 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0835 loss: 1.0835 2022/08/03 20:17:10 - mmengine - INFO - Epoch(train) [197][400/1879] lr: 1.0000e-04 eta: 8:53:54 time: 0.2890 data_time: 0.0254 memory: 8198 grad_norm: 7.2176 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9008 loss: 0.9008 2022/08/03 20:17:16 - mmengine - INFO - Epoch(train) [197][420/1879] lr: 1.0000e-04 eta: 8:53:48 time: 0.2850 data_time: 0.0210 memory: 8198 grad_norm: 7.2761 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9222 loss: 0.9222 2022/08/03 20:17:22 - mmengine - INFO - Epoch(train) [197][440/1879] lr: 1.0000e-04 eta: 8:53:43 time: 0.2847 data_time: 0.0212 memory: 8198 grad_norm: 7.2818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9918 loss: 0.9918 2022/08/03 20:17:28 - mmengine - INFO - Epoch(train) [197][460/1879] lr: 1.0000e-04 eta: 8:53:37 time: 0.2865 data_time: 0.0230 memory: 8198 grad_norm: 7.1608 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9130 loss: 0.9130 2022/08/03 20:17:33 - mmengine - INFO - Epoch(train) [197][480/1879] lr: 1.0000e-04 eta: 8:53:31 time: 0.2819 data_time: 0.0189 memory: 8198 grad_norm: 7.1338 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1012 loss: 1.1012 2022/08/03 20:17:39 - mmengine - INFO - Epoch(train) [197][500/1879] lr: 1.0000e-04 eta: 8:53:26 time: 0.2895 data_time: 0.0233 memory: 8198 grad_norm: 7.1101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/08/03 20:17:45 - mmengine - INFO - Epoch(train) [197][520/1879] lr: 1.0000e-04 eta: 8:53:20 time: 0.2867 data_time: 0.0219 memory: 8198 grad_norm: 7.1685 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0105 loss: 1.0105 2022/08/03 20:17:51 - mmengine - INFO - Epoch(train) [197][540/1879] lr: 1.0000e-04 eta: 8:53:14 time: 0.2891 data_time: 0.0244 memory: 8198 grad_norm: 7.1821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/08/03 20:17:56 - mmengine - INFO - Epoch(train) [197][560/1879] lr: 1.0000e-04 eta: 8:53:09 time: 0.2899 data_time: 0.0236 memory: 8198 grad_norm: 7.2852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0694 loss: 1.0694 2022/08/03 20:18:02 - mmengine - INFO - Epoch(train) [197][580/1879] lr: 1.0000e-04 eta: 8:53:03 time: 0.2856 data_time: 0.0211 memory: 8198 grad_norm: 7.1727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9420 loss: 0.9420 2022/08/03 20:18:08 - mmengine - INFO - Epoch(train) [197][600/1879] lr: 1.0000e-04 eta: 8:52:57 time: 0.2914 data_time: 0.0193 memory: 8198 grad_norm: 7.1973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1141 loss: 1.1141 2022/08/03 20:18:14 - mmengine - INFO - Epoch(train) [197][620/1879] lr: 1.0000e-04 eta: 8:52:52 time: 0.2861 data_time: 0.0256 memory: 8198 grad_norm: 7.0679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0668 loss: 1.0668 2022/08/03 20:18:20 - mmengine - INFO - Epoch(train) [197][640/1879] lr: 1.0000e-04 eta: 8:52:46 time: 0.2911 data_time: 0.0220 memory: 8198 grad_norm: 7.0516 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8670 loss: 0.8670 2022/08/03 20:18:26 - mmengine - INFO - Epoch(train) [197][660/1879] lr: 1.0000e-04 eta: 8:52:40 time: 0.3060 data_time: 0.0221 memory: 8198 grad_norm: 7.0536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9772 loss: 0.9772 2022/08/03 20:18:31 - mmengine - INFO - Epoch(train) [197][680/1879] lr: 1.0000e-04 eta: 8:52:35 time: 0.2819 data_time: 0.0234 memory: 8198 grad_norm: 7.1401 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8619 loss: 0.8619 2022/08/03 20:18:37 - mmengine - INFO - Epoch(train) [197][700/1879] lr: 1.0000e-04 eta: 8:52:29 time: 0.2912 data_time: 0.0258 memory: 8198 grad_norm: 6.8662 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7477 loss: 0.7477 2022/08/03 20:18:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:18:43 - mmengine - INFO - Epoch(train) [197][720/1879] lr: 1.0000e-04 eta: 8:52:23 time: 0.2858 data_time: 0.0220 memory: 8198 grad_norm: 7.0937 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/08/03 20:18:49 - mmengine - INFO - Epoch(train) [197][740/1879] lr: 1.0000e-04 eta: 8:52:18 time: 0.2837 data_time: 0.0190 memory: 8198 grad_norm: 7.1805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0396 loss: 1.0396 2022/08/03 20:18:54 - mmengine - INFO - Epoch(train) [197][760/1879] lr: 1.0000e-04 eta: 8:52:12 time: 0.2860 data_time: 0.0244 memory: 8198 grad_norm: 7.1101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1551 loss: 1.1551 2022/08/03 20:19:00 - mmengine - INFO - Epoch(train) [197][780/1879] lr: 1.0000e-04 eta: 8:52:06 time: 0.2915 data_time: 0.0235 memory: 8198 grad_norm: 7.2502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0965 loss: 1.0965 2022/08/03 20:19:06 - mmengine - INFO - Epoch(train) [197][800/1879] lr: 1.0000e-04 eta: 8:52:00 time: 0.2849 data_time: 0.0252 memory: 8198 grad_norm: 6.9795 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/03 20:19:12 - mmengine - INFO - Epoch(train) [197][820/1879] lr: 1.0000e-04 eta: 8:51:55 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 7.2343 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9375 loss: 0.9375 2022/08/03 20:19:18 - mmengine - INFO - Epoch(train) [197][840/1879] lr: 1.0000e-04 eta: 8:51:49 time: 0.2883 data_time: 0.0193 memory: 8198 grad_norm: 7.1885 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0096 loss: 1.0096 2022/08/03 20:19:23 - mmengine - INFO - Epoch(train) [197][860/1879] lr: 1.0000e-04 eta: 8:51:43 time: 0.2843 data_time: 0.0211 memory: 8198 grad_norm: 7.1904 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0042 loss: 1.0042 2022/08/03 20:19:29 - mmengine - INFO - Epoch(train) [197][880/1879] lr: 1.0000e-04 eta: 8:51:38 time: 0.2889 data_time: 0.0232 memory: 8198 grad_norm: 7.0525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8204 loss: 0.8204 2022/08/03 20:19:35 - mmengine - INFO - Epoch(train) [197][900/1879] lr: 1.0000e-04 eta: 8:51:32 time: 0.2860 data_time: 0.0222 memory: 8198 grad_norm: 7.2831 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0850 loss: 1.0850 2022/08/03 20:19:41 - mmengine - INFO - Epoch(train) [197][920/1879] lr: 1.0000e-04 eta: 8:51:26 time: 0.2875 data_time: 0.0231 memory: 8198 grad_norm: 7.0311 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8836 loss: 0.8836 2022/08/03 20:19:46 - mmengine - INFO - Epoch(train) [197][940/1879] lr: 1.0000e-04 eta: 8:51:21 time: 0.2850 data_time: 0.0237 memory: 8198 grad_norm: 7.1314 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9321 loss: 0.9321 2022/08/03 20:19:52 - mmengine - INFO - Epoch(train) [197][960/1879] lr: 1.0000e-04 eta: 8:51:15 time: 0.2831 data_time: 0.0214 memory: 8198 grad_norm: 7.2260 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9592 loss: 0.9592 2022/08/03 20:19:58 - mmengine - INFO - Epoch(train) [197][980/1879] lr: 1.0000e-04 eta: 8:51:09 time: 0.2876 data_time: 0.0245 memory: 8198 grad_norm: 6.9817 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0580 loss: 1.0580 2022/08/03 20:20:04 - mmengine - INFO - Epoch(train) [197][1000/1879] lr: 1.0000e-04 eta: 8:51:04 time: 0.2899 data_time: 0.0210 memory: 8198 grad_norm: 7.2168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9644 loss: 0.9644 2022/08/03 20:20:09 - mmengine - INFO - Epoch(train) [197][1020/1879] lr: 1.0000e-04 eta: 8:50:58 time: 0.2868 data_time: 0.0220 memory: 8198 grad_norm: 7.3410 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9776 loss: 0.9776 2022/08/03 20:20:15 - mmengine - INFO - Epoch(train) [197][1040/1879] lr: 1.0000e-04 eta: 8:50:52 time: 0.2840 data_time: 0.0193 memory: 8198 grad_norm: 7.3058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0620 loss: 1.0620 2022/08/03 20:20:21 - mmengine - INFO - Epoch(train) [197][1060/1879] lr: 1.0000e-04 eta: 8:50:46 time: 0.2851 data_time: 0.0243 memory: 8198 grad_norm: 7.2984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9592 loss: 0.9592 2022/08/03 20:20:27 - mmengine - INFO - Epoch(train) [197][1080/1879] lr: 1.0000e-04 eta: 8:50:41 time: 0.3013 data_time: 0.0221 memory: 8198 grad_norm: 7.2093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/08/03 20:20:33 - mmengine - INFO - Epoch(train) [197][1100/1879] lr: 1.0000e-04 eta: 8:50:35 time: 0.2822 data_time: 0.0197 memory: 8198 grad_norm: 7.2268 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1040 loss: 1.1040 2022/08/03 20:20:38 - mmengine - INFO - Epoch(train) [197][1120/1879] lr: 1.0000e-04 eta: 8:50:29 time: 0.2892 data_time: 0.0235 memory: 8198 grad_norm: 7.1625 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9738 loss: 0.9738 2022/08/03 20:20:44 - mmengine - INFO - Epoch(train) [197][1140/1879] lr: 1.0000e-04 eta: 8:50:24 time: 0.2845 data_time: 0.0247 memory: 8198 grad_norm: 6.9883 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/08/03 20:20:50 - mmengine - INFO - Epoch(train) [197][1160/1879] lr: 1.0000e-04 eta: 8:50:18 time: 0.2912 data_time: 0.0249 memory: 8198 grad_norm: 7.1105 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0049 loss: 1.0049 2022/08/03 20:20:56 - mmengine - INFO - Epoch(train) [197][1180/1879] lr: 1.0000e-04 eta: 8:50:12 time: 0.2877 data_time: 0.0227 memory: 8198 grad_norm: 6.9785 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7730 loss: 0.7730 2022/08/03 20:21:01 - mmengine - INFO - Epoch(train) [197][1200/1879] lr: 1.0000e-04 eta: 8:50:07 time: 0.2857 data_time: 0.0218 memory: 8198 grad_norm: 7.0216 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0156 loss: 1.0156 2022/08/03 20:21:07 - mmengine - INFO - Epoch(train) [197][1220/1879] lr: 1.0000e-04 eta: 8:50:01 time: 0.2881 data_time: 0.0237 memory: 8198 grad_norm: 7.2621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9825 loss: 0.9825 2022/08/03 20:21:13 - mmengine - INFO - Epoch(train) [197][1240/1879] lr: 1.0000e-04 eta: 8:49:55 time: 0.2836 data_time: 0.0205 memory: 8198 grad_norm: 7.1377 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0023 loss: 1.0023 2022/08/03 20:21:19 - mmengine - INFO - Epoch(train) [197][1260/1879] lr: 1.0000e-04 eta: 8:49:50 time: 0.2850 data_time: 0.0226 memory: 8198 grad_norm: 7.4851 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9638 loss: 0.9638 2022/08/03 20:21:24 - mmengine - INFO - Epoch(train) [197][1280/1879] lr: 1.0000e-04 eta: 8:49:44 time: 0.2869 data_time: 0.0274 memory: 8198 grad_norm: 7.0255 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9930 loss: 0.9930 2022/08/03 20:21:30 - mmengine - INFO - Epoch(train) [197][1300/1879] lr: 1.0000e-04 eta: 8:49:38 time: 0.2891 data_time: 0.0216 memory: 8198 grad_norm: 7.0333 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9014 loss: 0.9014 2022/08/03 20:21:36 - mmengine - INFO - Epoch(train) [197][1320/1879] lr: 1.0000e-04 eta: 8:49:32 time: 0.2853 data_time: 0.0221 memory: 8198 grad_norm: 7.3611 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0024 loss: 1.0024 2022/08/03 20:21:42 - mmengine - INFO - Epoch(train) [197][1340/1879] lr: 1.0000e-04 eta: 8:49:27 time: 0.2889 data_time: 0.0260 memory: 8198 grad_norm: 7.0770 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0458 loss: 1.0458 2022/08/03 20:21:48 - mmengine - INFO - Epoch(train) [197][1360/1879] lr: 1.0000e-04 eta: 8:49:21 time: 0.2888 data_time: 0.0224 memory: 8198 grad_norm: 7.1371 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/08/03 20:21:53 - mmengine - INFO - Epoch(train) [197][1380/1879] lr: 1.0000e-04 eta: 8:49:15 time: 0.2858 data_time: 0.0260 memory: 8198 grad_norm: 6.8224 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9942 loss: 0.9942 2022/08/03 20:21:59 - mmengine - INFO - Epoch(train) [197][1400/1879] lr: 1.0000e-04 eta: 8:49:10 time: 0.2892 data_time: 0.0252 memory: 8198 grad_norm: 7.2259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2268 loss: 1.2268 2022/08/03 20:22:05 - mmengine - INFO - Epoch(train) [197][1420/1879] lr: 1.0000e-04 eta: 8:49:04 time: 0.2890 data_time: 0.0239 memory: 8198 grad_norm: 7.0915 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9690 loss: 0.9690 2022/08/03 20:22:11 - mmengine - INFO - Epoch(train) [197][1440/1879] lr: 1.0000e-04 eta: 8:48:58 time: 0.2904 data_time: 0.0216 memory: 8198 grad_norm: 7.2663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1163 loss: 1.1163 2022/08/03 20:22:17 - mmengine - INFO - Epoch(train) [197][1460/1879] lr: 1.0000e-04 eta: 8:48:53 time: 0.2892 data_time: 0.0222 memory: 8198 grad_norm: 7.0240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9066 loss: 0.9066 2022/08/03 20:22:22 - mmengine - INFO - Epoch(train) [197][1480/1879] lr: 1.0000e-04 eta: 8:48:47 time: 0.2840 data_time: 0.0208 memory: 8198 grad_norm: 7.3622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8397 loss: 0.8397 2022/08/03 20:22:28 - mmengine - INFO - Epoch(train) [197][1500/1879] lr: 1.0000e-04 eta: 8:48:41 time: 0.2852 data_time: 0.0201 memory: 8198 grad_norm: 7.0377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/08/03 20:22:34 - mmengine - INFO - Epoch(train) [197][1520/1879] lr: 1.0000e-04 eta: 8:48:36 time: 0.2855 data_time: 0.0245 memory: 8198 grad_norm: 7.0023 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8263 loss: 0.8263 2022/08/03 20:22:40 - mmengine - INFO - Epoch(train) [197][1540/1879] lr: 1.0000e-04 eta: 8:48:30 time: 0.2907 data_time: 0.0204 memory: 8198 grad_norm: 6.9152 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/03 20:22:45 - mmengine - INFO - Epoch(train) [197][1560/1879] lr: 1.0000e-04 eta: 8:48:24 time: 0.2879 data_time: 0.0243 memory: 8198 grad_norm: 7.1832 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8684 loss: 0.8684 2022/08/03 20:22:51 - mmengine - INFO - Epoch(train) [197][1580/1879] lr: 1.0000e-04 eta: 8:48:19 time: 0.2868 data_time: 0.0213 memory: 8198 grad_norm: 7.2469 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8450 loss: 0.8450 2022/08/03 20:22:57 - mmengine - INFO - Epoch(train) [197][1600/1879] lr: 1.0000e-04 eta: 8:48:13 time: 0.2932 data_time: 0.0249 memory: 8198 grad_norm: 7.4206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/08/03 20:23:03 - mmengine - INFO - Epoch(train) [197][1620/1879] lr: 1.0000e-04 eta: 8:48:07 time: 0.2839 data_time: 0.0205 memory: 8198 grad_norm: 7.1156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9448 loss: 0.9448 2022/08/03 20:23:09 - mmengine - INFO - Epoch(train) [197][1640/1879] lr: 1.0000e-04 eta: 8:48:01 time: 0.2911 data_time: 0.0227 memory: 8198 grad_norm: 7.1436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8977 loss: 0.8977 2022/08/03 20:23:14 - mmengine - INFO - Epoch(train) [197][1660/1879] lr: 1.0000e-04 eta: 8:47:56 time: 0.2876 data_time: 0.0225 memory: 8198 grad_norm: 7.1526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/08/03 20:23:20 - mmengine - INFO - Epoch(train) [197][1680/1879] lr: 1.0000e-04 eta: 8:47:50 time: 0.2910 data_time: 0.0218 memory: 8198 grad_norm: 7.0405 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/08/03 20:23:26 - mmengine - INFO - Epoch(train) [197][1700/1879] lr: 1.0000e-04 eta: 8:47:44 time: 0.2849 data_time: 0.0245 memory: 8198 grad_norm: 7.1562 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/08/03 20:23:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:23:32 - mmengine - INFO - Epoch(train) [197][1720/1879] lr: 1.0000e-04 eta: 8:47:39 time: 0.2889 data_time: 0.0196 memory: 8198 grad_norm: 7.2382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/08/03 20:23:38 - mmengine - INFO - Epoch(train) [197][1740/1879] lr: 1.0000e-04 eta: 8:47:33 time: 0.2900 data_time: 0.0255 memory: 8198 grad_norm: 7.2549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7678 loss: 0.7678 2022/08/03 20:23:43 - mmengine - INFO - Epoch(train) [197][1760/1879] lr: 1.0000e-04 eta: 8:47:27 time: 0.2881 data_time: 0.0234 memory: 8198 grad_norm: 7.2045 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/03 20:23:49 - mmengine - INFO - Epoch(train) [197][1780/1879] lr: 1.0000e-04 eta: 8:47:22 time: 0.2886 data_time: 0.0219 memory: 8198 grad_norm: 7.0669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9132 loss: 0.9132 2022/08/03 20:23:55 - mmengine - INFO - Epoch(train) [197][1800/1879] lr: 1.0000e-04 eta: 8:47:16 time: 0.2877 data_time: 0.0253 memory: 8198 grad_norm: 6.9991 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8862 loss: 0.8862 2022/08/03 20:24:01 - mmengine - INFO - Epoch(train) [197][1820/1879] lr: 1.0000e-04 eta: 8:47:10 time: 0.2881 data_time: 0.0247 memory: 8198 grad_norm: 7.2022 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/03 20:24:07 - mmengine - INFO - Epoch(train) [197][1840/1879] lr: 1.0000e-04 eta: 8:47:05 time: 0.2997 data_time: 0.0214 memory: 8198 grad_norm: 6.8037 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0149 loss: 1.0149 2022/08/03 20:24:13 - mmengine - INFO - Epoch(train) [197][1860/1879] lr: 1.0000e-04 eta: 8:46:59 time: 0.2892 data_time: 0.0238 memory: 8198 grad_norm: 7.1408 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9707 loss: 0.9707 2022/08/03 20:24:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:24:18 - mmengine - INFO - Epoch(train) [197][1879/1879] lr: 1.0000e-04 eta: 8:46:59 time: 0.2921 data_time: 0.0154 memory: 8198 grad_norm: 7.2922 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/08/03 20:24:27 - mmengine - INFO - Epoch(train) [198][20/1879] lr: 1.0000e-04 eta: 8:46:47 time: 0.4311 data_time: 0.1246 memory: 8198 grad_norm: 7.1190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/08/03 20:24:33 - mmengine - INFO - Epoch(train) [198][40/1879] lr: 1.0000e-04 eta: 8:46:42 time: 0.2969 data_time: 0.0293 memory: 8198 grad_norm: 7.1454 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9476 loss: 0.9476 2022/08/03 20:24:39 - mmengine - INFO - Epoch(train) [198][60/1879] lr: 1.0000e-04 eta: 8:46:36 time: 0.3163 data_time: 0.0200 memory: 8198 grad_norm: 6.9814 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0888 loss: 1.0888 2022/08/03 20:24:45 - mmengine - INFO - Epoch(train) [198][80/1879] lr: 1.0000e-04 eta: 8:46:30 time: 0.2846 data_time: 0.0254 memory: 8198 grad_norm: 6.8467 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8865 loss: 0.8865 2022/08/03 20:24:51 - mmengine - INFO - Epoch(train) [198][100/1879] lr: 1.0000e-04 eta: 8:46:25 time: 0.2856 data_time: 0.0230 memory: 8198 grad_norm: 6.9865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8971 loss: 0.8971 2022/08/03 20:24:57 - mmengine - INFO - Epoch(train) [198][120/1879] lr: 1.0000e-04 eta: 8:46:19 time: 0.2916 data_time: 0.0192 memory: 8198 grad_norm: 7.1364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/08/03 20:25:02 - mmengine - INFO - Epoch(train) [198][140/1879] lr: 1.0000e-04 eta: 8:46:13 time: 0.2965 data_time: 0.0199 memory: 8198 grad_norm: 7.2366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9760 loss: 0.9760 2022/08/03 20:25:08 - mmengine - INFO - Epoch(train) [198][160/1879] lr: 1.0000e-04 eta: 8:46:08 time: 0.2856 data_time: 0.0204 memory: 8198 grad_norm: 7.1818 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8890 loss: 0.8890 2022/08/03 20:25:14 - mmengine - INFO - Epoch(train) [198][180/1879] lr: 1.0000e-04 eta: 8:46:02 time: 0.2902 data_time: 0.0262 memory: 8198 grad_norm: 7.1035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9554 loss: 0.9554 2022/08/03 20:25:20 - mmengine - INFO - Epoch(train) [198][200/1879] lr: 1.0000e-04 eta: 8:45:56 time: 0.2950 data_time: 0.0229 memory: 8198 grad_norm: 7.0735 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/03 20:25:26 - mmengine - INFO - Epoch(train) [198][220/1879] lr: 1.0000e-04 eta: 8:45:51 time: 0.2857 data_time: 0.0210 memory: 8198 grad_norm: 7.0698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9304 loss: 0.9304 2022/08/03 20:25:32 - mmengine - INFO - Epoch(train) [198][240/1879] lr: 1.0000e-04 eta: 8:45:45 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 6.9678 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0346 loss: 1.0346 2022/08/03 20:25:37 - mmengine - INFO - Epoch(train) [198][260/1879] lr: 1.0000e-04 eta: 8:45:39 time: 0.2993 data_time: 0.0298 memory: 8198 grad_norm: 7.3178 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0132 loss: 1.0132 2022/08/03 20:25:43 - mmengine - INFO - Epoch(train) [198][280/1879] lr: 1.0000e-04 eta: 8:45:34 time: 0.2829 data_time: 0.0219 memory: 8198 grad_norm: 7.3456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9492 loss: 0.9492 2022/08/03 20:25:49 - mmengine - INFO - Epoch(train) [198][300/1879] lr: 1.0000e-04 eta: 8:45:28 time: 0.2848 data_time: 0.0212 memory: 8198 grad_norm: 6.9804 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9835 loss: 0.9835 2022/08/03 20:25:55 - mmengine - INFO - Epoch(train) [198][320/1879] lr: 1.0000e-04 eta: 8:45:22 time: 0.2849 data_time: 0.0297 memory: 8198 grad_norm: 7.2948 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9173 loss: 0.9173 2022/08/03 20:26:00 - mmengine - INFO - Epoch(train) [198][340/1879] lr: 1.0000e-04 eta: 8:45:16 time: 0.2843 data_time: 0.0257 memory: 8198 grad_norm: 7.2902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1078 loss: 1.1078 2022/08/03 20:26:06 - mmengine - INFO - Epoch(train) [198][360/1879] lr: 1.0000e-04 eta: 8:45:11 time: 0.2858 data_time: 0.0267 memory: 8198 grad_norm: 7.1205 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9142 loss: 0.9142 2022/08/03 20:26:12 - mmengine - INFO - Epoch(train) [198][380/1879] lr: 1.0000e-04 eta: 8:45:05 time: 0.2872 data_time: 0.0241 memory: 8198 grad_norm: 7.4079 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0972 loss: 1.0972 2022/08/03 20:26:18 - mmengine - INFO - Epoch(train) [198][400/1879] lr: 1.0000e-04 eta: 8:44:59 time: 0.2871 data_time: 0.0222 memory: 8198 grad_norm: 7.2522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9108 loss: 0.9108 2022/08/03 20:26:23 - mmengine - INFO - Epoch(train) [198][420/1879] lr: 1.0000e-04 eta: 8:44:54 time: 0.2847 data_time: 0.0210 memory: 8198 grad_norm: 6.9779 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8259 loss: 0.8259 2022/08/03 20:26:29 - mmengine - INFO - Epoch(train) [198][440/1879] lr: 1.0000e-04 eta: 8:44:48 time: 0.2904 data_time: 0.0223 memory: 8198 grad_norm: 7.1459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8382 loss: 0.8382 2022/08/03 20:26:35 - mmengine - INFO - Epoch(train) [198][460/1879] lr: 1.0000e-04 eta: 8:44:42 time: 0.2832 data_time: 0.0179 memory: 8198 grad_norm: 7.1188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8677 loss: 0.8677 2022/08/03 20:26:41 - mmengine - INFO - Epoch(train) [198][480/1879] lr: 1.0000e-04 eta: 8:44:37 time: 0.2869 data_time: 0.0255 memory: 8198 grad_norm: 7.1389 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0358 loss: 1.0358 2022/08/03 20:26:46 - mmengine - INFO - Epoch(train) [198][500/1879] lr: 1.0000e-04 eta: 8:44:31 time: 0.2893 data_time: 0.0286 memory: 8198 grad_norm: 7.1049 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9599 loss: 0.9599 2022/08/03 20:26:52 - mmengine - INFO - Epoch(train) [198][520/1879] lr: 1.0000e-04 eta: 8:44:25 time: 0.2885 data_time: 0.0231 memory: 8198 grad_norm: 7.0729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9172 loss: 0.9172 2022/08/03 20:26:58 - mmengine - INFO - Epoch(train) [198][540/1879] lr: 1.0000e-04 eta: 8:44:20 time: 0.2968 data_time: 0.0232 memory: 8198 grad_norm: 7.0592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/08/03 20:27:04 - mmengine - INFO - Epoch(train) [198][560/1879] lr: 1.0000e-04 eta: 8:44:14 time: 0.2849 data_time: 0.0235 memory: 8198 grad_norm: 7.2867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0540 loss: 1.0540 2022/08/03 20:27:10 - mmengine - INFO - Epoch(train) [198][580/1879] lr: 1.0000e-04 eta: 8:44:08 time: 0.2905 data_time: 0.0208 memory: 8198 grad_norm: 7.1061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9011 loss: 0.9011 2022/08/03 20:27:16 - mmengine - INFO - Epoch(train) [198][600/1879] lr: 1.0000e-04 eta: 8:44:03 time: 0.2866 data_time: 0.0309 memory: 8198 grad_norm: 7.2546 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/08/03 20:27:21 - mmengine - INFO - Epoch(train) [198][620/1879] lr: 1.0000e-04 eta: 8:43:57 time: 0.2848 data_time: 0.0240 memory: 8198 grad_norm: 7.1387 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1998 loss: 1.1998 2022/08/03 20:27:27 - mmengine - INFO - Epoch(train) [198][640/1879] lr: 1.0000e-04 eta: 8:43:51 time: 0.2860 data_time: 0.0212 memory: 8198 grad_norm: 7.2871 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9912 loss: 0.9912 2022/08/03 20:27:33 - mmengine - INFO - Epoch(train) [198][660/1879] lr: 1.0000e-04 eta: 8:43:45 time: 0.2849 data_time: 0.0233 memory: 8198 grad_norm: 7.0605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9683 loss: 0.9683 2022/08/03 20:27:39 - mmengine - INFO - Epoch(train) [198][680/1879] lr: 1.0000e-04 eta: 8:43:40 time: 0.2976 data_time: 0.0223 memory: 8198 grad_norm: 7.1471 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8788 loss: 0.8788 2022/08/03 20:27:45 - mmengine - INFO - Epoch(train) [198][700/1879] lr: 1.0000e-04 eta: 8:43:34 time: 0.2871 data_time: 0.0238 memory: 8198 grad_norm: 7.0848 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9558 loss: 0.9558 2022/08/03 20:27:50 - mmengine - INFO - Epoch(train) [198][720/1879] lr: 1.0000e-04 eta: 8:43:28 time: 0.2856 data_time: 0.0212 memory: 8198 grad_norm: 7.1575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0415 loss: 1.0415 2022/08/03 20:27:56 - mmengine - INFO - Epoch(train) [198][740/1879] lr: 1.0000e-04 eta: 8:43:23 time: 0.2855 data_time: 0.0186 memory: 8198 grad_norm: 7.1781 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0007 loss: 1.0007 2022/08/03 20:28:02 - mmengine - INFO - Epoch(train) [198][760/1879] lr: 1.0000e-04 eta: 8:43:17 time: 0.2931 data_time: 0.0284 memory: 8198 grad_norm: 7.3956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8852 loss: 0.8852 2022/08/03 20:28:08 - mmengine - INFO - Epoch(train) [198][780/1879] lr: 1.0000e-04 eta: 8:43:11 time: 0.2860 data_time: 0.0212 memory: 8198 grad_norm: 6.9947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9974 loss: 0.9974 2022/08/03 20:28:13 - mmengine - INFO - Epoch(train) [198][800/1879] lr: 1.0000e-04 eta: 8:43:06 time: 0.2869 data_time: 0.0288 memory: 8198 grad_norm: 6.8318 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9255 loss: 0.9255 2022/08/03 20:28:19 - mmengine - INFO - Epoch(train) [198][820/1879] lr: 1.0000e-04 eta: 8:43:00 time: 0.2909 data_time: 0.0216 memory: 8198 grad_norm: 6.9832 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/08/03 20:28:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:28:25 - mmengine - INFO - Epoch(train) [198][840/1879] lr: 1.0000e-04 eta: 8:42:54 time: 0.2920 data_time: 0.0212 memory: 8198 grad_norm: 7.3508 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8456 loss: 0.8456 2022/08/03 20:28:31 - mmengine - INFO - Epoch(train) [198][860/1879] lr: 1.0000e-04 eta: 8:42:49 time: 0.2858 data_time: 0.0199 memory: 8198 grad_norm: 7.3145 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1215 loss: 1.1215 2022/08/03 20:28:37 - mmengine - INFO - Epoch(train) [198][880/1879] lr: 1.0000e-04 eta: 8:42:43 time: 0.2861 data_time: 0.0245 memory: 8198 grad_norm: 6.9813 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9191 loss: 0.9191 2022/08/03 20:28:42 - mmengine - INFO - Epoch(train) [198][900/1879] lr: 1.0000e-04 eta: 8:42:37 time: 0.2884 data_time: 0.0185 memory: 8198 grad_norm: 7.3551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1146 loss: 1.1146 2022/08/03 20:28:48 - mmengine - INFO - Epoch(train) [198][920/1879] lr: 1.0000e-04 eta: 8:42:32 time: 0.2860 data_time: 0.0254 memory: 8198 grad_norm: 7.2213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9525 loss: 0.9525 2022/08/03 20:28:54 - mmengine - INFO - Epoch(train) [198][940/1879] lr: 1.0000e-04 eta: 8:42:26 time: 0.2843 data_time: 0.0203 memory: 8198 grad_norm: 7.1775 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1641 loss: 1.1641 2022/08/03 20:29:00 - mmengine - INFO - Epoch(train) [198][960/1879] lr: 1.0000e-04 eta: 8:42:20 time: 0.2849 data_time: 0.0258 memory: 8198 grad_norm: 6.9870 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/08/03 20:29:05 - mmengine - INFO - Epoch(train) [198][980/1879] lr: 1.0000e-04 eta: 8:42:14 time: 0.2837 data_time: 0.0239 memory: 8198 grad_norm: 7.2938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0168 loss: 1.0168 2022/08/03 20:29:11 - mmengine - INFO - Epoch(train) [198][1000/1879] lr: 1.0000e-04 eta: 8:42:09 time: 0.2891 data_time: 0.0216 memory: 8198 grad_norm: 7.1251 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8299 loss: 0.8299 2022/08/03 20:29:17 - mmengine - INFO - Epoch(train) [198][1020/1879] lr: 1.0000e-04 eta: 8:42:03 time: 0.3037 data_time: 0.0184 memory: 8198 grad_norm: 7.1570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8104 loss: 0.8104 2022/08/03 20:29:23 - mmengine - INFO - Epoch(train) [198][1040/1879] lr: 1.0000e-04 eta: 8:41:57 time: 0.2825 data_time: 0.0217 memory: 8198 grad_norm: 7.1636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0788 loss: 1.0788 2022/08/03 20:29:29 - mmengine - INFO - Epoch(train) [198][1060/1879] lr: 1.0000e-04 eta: 8:41:52 time: 0.2885 data_time: 0.0202 memory: 8198 grad_norm: 7.1673 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9758 loss: 0.9758 2022/08/03 20:29:34 - mmengine - INFO - Epoch(train) [198][1080/1879] lr: 1.0000e-04 eta: 8:41:46 time: 0.2875 data_time: 0.0224 memory: 8198 grad_norm: 7.3688 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1053 loss: 1.1053 2022/08/03 20:29:40 - mmengine - INFO - Epoch(train) [198][1100/1879] lr: 1.0000e-04 eta: 8:41:40 time: 0.2867 data_time: 0.0231 memory: 8198 grad_norm: 7.0459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/08/03 20:29:46 - mmengine - INFO - Epoch(train) [198][1120/1879] lr: 1.0000e-04 eta: 8:41:35 time: 0.2875 data_time: 0.0235 memory: 8198 grad_norm: 7.0396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0578 loss: 1.0578 2022/08/03 20:29:52 - mmengine - INFO - Epoch(train) [198][1140/1879] lr: 1.0000e-04 eta: 8:41:29 time: 0.3006 data_time: 0.0218 memory: 8198 grad_norm: 7.3232 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8600 loss: 0.8600 2022/08/03 20:29:58 - mmengine - INFO - Epoch(train) [198][1160/1879] lr: 1.0000e-04 eta: 8:41:23 time: 0.2859 data_time: 0.0222 memory: 8198 grad_norm: 6.9984 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9697 loss: 0.9697 2022/08/03 20:30:04 - mmengine - INFO - Epoch(train) [198][1180/1879] lr: 1.0000e-04 eta: 8:41:18 time: 0.2946 data_time: 0.0273 memory: 8198 grad_norm: 7.2177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8967 loss: 0.8967 2022/08/03 20:30:10 - mmengine - INFO - Epoch(train) [198][1200/1879] lr: 1.0000e-04 eta: 8:41:12 time: 0.3042 data_time: 0.0190 memory: 8198 grad_norm: 7.1057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8913 loss: 0.8913 2022/08/03 20:30:16 - mmengine - INFO - Epoch(train) [198][1220/1879] lr: 1.0000e-04 eta: 8:41:06 time: 0.2853 data_time: 0.0212 memory: 8198 grad_norm: 7.2896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0385 loss: 1.0385 2022/08/03 20:30:21 - mmengine - INFO - Epoch(train) [198][1240/1879] lr: 1.0000e-04 eta: 8:41:01 time: 0.2852 data_time: 0.0209 memory: 8198 grad_norm: 7.2395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0429 loss: 1.0429 2022/08/03 20:30:28 - mmengine - INFO - Epoch(train) [198][1260/1879] lr: 1.0000e-04 eta: 8:40:55 time: 0.3211 data_time: 0.0191 memory: 8198 grad_norm: 7.0481 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9111 loss: 0.9111 2022/08/03 20:30:33 - mmengine - INFO - Epoch(train) [198][1280/1879] lr: 1.0000e-04 eta: 8:40:49 time: 0.2835 data_time: 0.0210 memory: 8198 grad_norm: 7.2180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1154 loss: 1.1154 2022/08/03 20:30:39 - mmengine - INFO - Epoch(train) [198][1300/1879] lr: 1.0000e-04 eta: 8:40:44 time: 0.2863 data_time: 0.0238 memory: 8198 grad_norm: 7.2881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9480 loss: 0.9480 2022/08/03 20:30:45 - mmengine - INFO - Epoch(train) [198][1320/1879] lr: 1.0000e-04 eta: 8:40:38 time: 0.2865 data_time: 0.0244 memory: 8198 grad_norm: 7.3455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9777 loss: 0.9777 2022/08/03 20:30:51 - mmengine - INFO - Epoch(train) [198][1340/1879] lr: 1.0000e-04 eta: 8:40:32 time: 0.3021 data_time: 0.0223 memory: 8198 grad_norm: 7.2113 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0257 loss: 1.0257 2022/08/03 20:30:57 - mmengine - INFO - Epoch(train) [198][1360/1879] lr: 1.0000e-04 eta: 8:40:27 time: 0.2839 data_time: 0.0231 memory: 8198 grad_norm: 7.1136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/08/03 20:31:02 - mmengine - INFO - Epoch(train) [198][1380/1879] lr: 1.0000e-04 eta: 8:40:21 time: 0.2871 data_time: 0.0276 memory: 8198 grad_norm: 7.1955 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9972 loss: 0.9972 2022/08/03 20:31:08 - mmengine - INFO - Epoch(train) [198][1400/1879] lr: 1.0000e-04 eta: 8:40:15 time: 0.2864 data_time: 0.0191 memory: 8198 grad_norm: 7.2892 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8065 loss: 0.8065 2022/08/03 20:31:14 - mmengine - INFO - Epoch(train) [198][1420/1879] lr: 1.0000e-04 eta: 8:40:10 time: 0.2862 data_time: 0.0223 memory: 8198 grad_norm: 7.3195 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9760 loss: 0.9760 2022/08/03 20:31:20 - mmengine - INFO - Epoch(train) [198][1440/1879] lr: 1.0000e-04 eta: 8:40:04 time: 0.2880 data_time: 0.0251 memory: 8198 grad_norm: 6.6551 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9827 loss: 0.9827 2022/08/03 20:31:25 - mmengine - INFO - Epoch(train) [198][1460/1879] lr: 1.0000e-04 eta: 8:39:58 time: 0.2828 data_time: 0.0208 memory: 8198 grad_norm: 7.1472 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9228 loss: 0.9228 2022/08/03 20:31:31 - mmengine - INFO - Epoch(train) [198][1480/1879] lr: 1.0000e-04 eta: 8:39:53 time: 0.2909 data_time: 0.0229 memory: 8198 grad_norm: 7.3438 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0092 loss: 1.0092 2022/08/03 20:31:37 - mmengine - INFO - Epoch(train) [198][1500/1879] lr: 1.0000e-04 eta: 8:39:47 time: 0.2857 data_time: 0.0219 memory: 8198 grad_norm: 7.2513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/08/03 20:31:43 - mmengine - INFO - Epoch(train) [198][1520/1879] lr: 1.0000e-04 eta: 8:39:41 time: 0.2846 data_time: 0.0215 memory: 8198 grad_norm: 7.2258 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9373 loss: 0.9373 2022/08/03 20:31:49 - mmengine - INFO - Epoch(train) [198][1540/1879] lr: 1.0000e-04 eta: 8:39:36 time: 0.3083 data_time: 0.0245 memory: 8198 grad_norm: 7.2718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1421 loss: 1.1421 2022/08/03 20:31:55 - mmengine - INFO - Epoch(train) [198][1560/1879] lr: 1.0000e-04 eta: 8:39:30 time: 0.2837 data_time: 0.0192 memory: 8198 grad_norm: 7.0265 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0624 loss: 1.0624 2022/08/03 20:32:00 - mmengine - INFO - Epoch(train) [198][1580/1879] lr: 1.0000e-04 eta: 8:39:24 time: 0.2866 data_time: 0.0264 memory: 8198 grad_norm: 7.0651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9095 loss: 0.9095 2022/08/03 20:32:06 - mmengine - INFO - Epoch(train) [198][1600/1879] lr: 1.0000e-04 eta: 8:39:19 time: 0.2837 data_time: 0.0238 memory: 8198 grad_norm: 7.2125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9240 loss: 0.9240 2022/08/03 20:32:12 - mmengine - INFO - Epoch(train) [198][1620/1879] lr: 1.0000e-04 eta: 8:39:13 time: 0.2917 data_time: 0.0245 memory: 8198 grad_norm: 7.0997 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9120 loss: 0.9120 2022/08/03 20:32:18 - mmengine - INFO - Epoch(train) [198][1640/1879] lr: 1.0000e-04 eta: 8:39:07 time: 0.2861 data_time: 0.0191 memory: 8198 grad_norm: 6.9146 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7909 loss: 0.7909 2022/08/03 20:32:23 - mmengine - INFO - Epoch(train) [198][1660/1879] lr: 1.0000e-04 eta: 8:39:01 time: 0.2846 data_time: 0.0234 memory: 8198 grad_norm: 7.0280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8819 loss: 0.8819 2022/08/03 20:32:29 - mmengine - INFO - Epoch(train) [198][1680/1879] lr: 1.0000e-04 eta: 8:38:56 time: 0.2948 data_time: 0.0234 memory: 8198 grad_norm: 7.0259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0311 loss: 1.0311 2022/08/03 20:32:35 - mmengine - INFO - Epoch(train) [198][1700/1879] lr: 1.0000e-04 eta: 8:38:50 time: 0.2850 data_time: 0.0211 memory: 8198 grad_norm: 7.3078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0052 loss: 1.0052 2022/08/03 20:32:41 - mmengine - INFO - Epoch(train) [198][1720/1879] lr: 1.0000e-04 eta: 8:38:44 time: 0.2864 data_time: 0.0219 memory: 8198 grad_norm: 7.1112 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9255 loss: 0.9255 2022/08/03 20:32:47 - mmengine - INFO - Epoch(train) [198][1740/1879] lr: 1.0000e-04 eta: 8:38:39 time: 0.2848 data_time: 0.0204 memory: 8198 grad_norm: 7.1800 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8851 loss: 0.8851 2022/08/03 20:32:52 - mmengine - INFO - Epoch(train) [198][1760/1879] lr: 1.0000e-04 eta: 8:38:33 time: 0.2899 data_time: 0.0191 memory: 8198 grad_norm: 7.5058 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1083 loss: 1.1083 2022/08/03 20:32:58 - mmengine - INFO - Epoch(train) [198][1780/1879] lr: 1.0000e-04 eta: 8:38:27 time: 0.2834 data_time: 0.0201 memory: 8198 grad_norm: 7.0726 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/03 20:33:04 - mmengine - INFO - Epoch(train) [198][1800/1879] lr: 1.0000e-04 eta: 8:38:22 time: 0.2855 data_time: 0.0215 memory: 8198 grad_norm: 7.0304 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8413 loss: 0.8413 2022/08/03 20:33:10 - mmengine - INFO - Epoch(train) [198][1820/1879] lr: 1.0000e-04 eta: 8:38:16 time: 0.2869 data_time: 0.0205 memory: 8198 grad_norm: 6.9760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8334 loss: 0.8334 2022/08/03 20:33:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:33:15 - mmengine - INFO - Epoch(train) [198][1840/1879] lr: 1.0000e-04 eta: 8:38:10 time: 0.2857 data_time: 0.0257 memory: 8198 grad_norm: 7.0443 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9638 loss: 0.9638 2022/08/03 20:33:21 - mmengine - INFO - Epoch(train) [198][1860/1879] lr: 1.0000e-04 eta: 8:38:04 time: 0.2846 data_time: 0.0242 memory: 8198 grad_norm: 7.2064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9070 loss: 0.9070 2022/08/03 20:33:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:33:26 - mmengine - INFO - Epoch(train) [198][1879/1879] lr: 1.0000e-04 eta: 8:38:04 time: 0.2581 data_time: 0.0170 memory: 8198 grad_norm: 7.5234 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9984 loss: 0.9984 2022/08/03 20:33:35 - mmengine - INFO - Epoch(train) [199][20/1879] lr: 1.0000e-04 eta: 8:37:53 time: 0.4245 data_time: 0.1079 memory: 8198 grad_norm: 7.3775 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/08/03 20:33:41 - mmengine - INFO - Epoch(train) [199][40/1879] lr: 1.0000e-04 eta: 8:37:47 time: 0.2983 data_time: 0.0234 memory: 8198 grad_norm: 7.1030 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9615 loss: 0.9615 2022/08/03 20:33:46 - mmengine - INFO - Epoch(train) [199][60/1879] lr: 1.0000e-04 eta: 8:37:41 time: 0.2913 data_time: 0.0239 memory: 8198 grad_norm: 7.3864 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0128 loss: 1.0128 2022/08/03 20:33:52 - mmengine - INFO - Epoch(train) [199][80/1879] lr: 1.0000e-04 eta: 8:37:36 time: 0.2917 data_time: 0.0210 memory: 8198 grad_norm: 7.1585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0860 loss: 1.0860 2022/08/03 20:33:58 - mmengine - INFO - Epoch(train) [199][100/1879] lr: 1.0000e-04 eta: 8:37:30 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 7.2527 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9505 loss: 0.9505 2022/08/03 20:34:04 - mmengine - INFO - Epoch(train) [199][120/1879] lr: 1.0000e-04 eta: 8:37:24 time: 0.2830 data_time: 0.0209 memory: 8198 grad_norm: 7.0307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9620 loss: 0.9620 2022/08/03 20:34:10 - mmengine - INFO - Epoch(train) [199][140/1879] lr: 1.0000e-04 eta: 8:37:19 time: 0.2959 data_time: 0.0247 memory: 8198 grad_norm: 7.0685 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/08/03 20:34:15 - mmengine - INFO - Epoch(train) [199][160/1879] lr: 1.0000e-04 eta: 8:37:13 time: 0.2871 data_time: 0.0203 memory: 8198 grad_norm: 7.2270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1102 loss: 1.1102 2022/08/03 20:34:21 - mmengine - INFO - Epoch(train) [199][180/1879] lr: 1.0000e-04 eta: 8:37:07 time: 0.2866 data_time: 0.0197 memory: 8198 grad_norm: 7.3532 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9849 loss: 0.9849 2022/08/03 20:34:27 - mmengine - INFO - Epoch(train) [199][200/1879] lr: 1.0000e-04 eta: 8:37:02 time: 0.2890 data_time: 0.0211 memory: 8198 grad_norm: 6.9349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8601 loss: 0.8601 2022/08/03 20:34:33 - mmengine - INFO - Epoch(train) [199][220/1879] lr: 1.0000e-04 eta: 8:36:56 time: 0.3078 data_time: 0.0231 memory: 8198 grad_norm: 7.1584 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0809 loss: 1.0809 2022/08/03 20:34:39 - mmengine - INFO - Epoch(train) [199][240/1879] lr: 1.0000e-04 eta: 8:36:50 time: 0.2838 data_time: 0.0277 memory: 8198 grad_norm: 6.9632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9752 loss: 0.9752 2022/08/03 20:34:45 - mmengine - INFO - Epoch(train) [199][260/1879] lr: 1.0000e-04 eta: 8:36:45 time: 0.2838 data_time: 0.0216 memory: 8198 grad_norm: 7.1945 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9245 loss: 0.9245 2022/08/03 20:34:50 - mmengine - INFO - Epoch(train) [199][280/1879] lr: 1.0000e-04 eta: 8:36:39 time: 0.2930 data_time: 0.0263 memory: 8198 grad_norm: 6.9749 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/08/03 20:34:56 - mmengine - INFO - Epoch(train) [199][300/1879] lr: 1.0000e-04 eta: 8:36:33 time: 0.2859 data_time: 0.0236 memory: 8198 grad_norm: 7.2040 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9468 loss: 0.9468 2022/08/03 20:35:02 - mmengine - INFO - Epoch(train) [199][320/1879] lr: 1.0000e-04 eta: 8:36:28 time: 0.2921 data_time: 0.0299 memory: 8198 grad_norm: 7.2809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/08/03 20:35:08 - mmengine - INFO - Epoch(train) [199][340/1879] lr: 1.0000e-04 eta: 8:36:22 time: 0.2890 data_time: 0.0210 memory: 8198 grad_norm: 7.3096 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0085 loss: 1.0085 2022/08/03 20:35:14 - mmengine - INFO - Epoch(train) [199][360/1879] lr: 1.0000e-04 eta: 8:36:16 time: 0.2834 data_time: 0.0188 memory: 8198 grad_norm: 6.9986 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/03 20:35:19 - mmengine - INFO - Epoch(train) [199][380/1879] lr: 1.0000e-04 eta: 8:36:10 time: 0.2856 data_time: 0.0218 memory: 8198 grad_norm: 7.2011 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1264 loss: 1.1264 2022/08/03 20:35:25 - mmengine - INFO - Epoch(train) [199][400/1879] lr: 1.0000e-04 eta: 8:36:05 time: 0.2861 data_time: 0.0210 memory: 8198 grad_norm: 7.2278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/08/03 20:35:31 - mmengine - INFO - Epoch(train) [199][420/1879] lr: 1.0000e-04 eta: 8:35:59 time: 0.3012 data_time: 0.0202 memory: 8198 grad_norm: 7.1077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/08/03 20:35:37 - mmengine - INFO - Epoch(train) [199][440/1879] lr: 1.0000e-04 eta: 8:35:53 time: 0.2863 data_time: 0.0250 memory: 8198 grad_norm: 7.0417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9444 loss: 0.9444 2022/08/03 20:35:43 - mmengine - INFO - Epoch(train) [199][460/1879] lr: 1.0000e-04 eta: 8:35:48 time: 0.2843 data_time: 0.0264 memory: 8198 grad_norm: 7.1895 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9707 loss: 0.9707 2022/08/03 20:35:49 - mmengine - INFO - Epoch(train) [199][480/1879] lr: 1.0000e-04 eta: 8:35:42 time: 0.3126 data_time: 0.0201 memory: 8198 grad_norm: 6.9828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8484 loss: 0.8484 2022/08/03 20:35:55 - mmengine - INFO - Epoch(train) [199][500/1879] lr: 1.0000e-04 eta: 8:35:36 time: 0.2821 data_time: 0.0229 memory: 8198 grad_norm: 7.0557 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0580 loss: 1.0580 2022/08/03 20:36:00 - mmengine - INFO - Epoch(train) [199][520/1879] lr: 1.0000e-04 eta: 8:35:31 time: 0.2843 data_time: 0.0202 memory: 8198 grad_norm: 7.1169 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/08/03 20:36:06 - mmengine - INFO - Epoch(train) [199][540/1879] lr: 1.0000e-04 eta: 8:35:25 time: 0.2847 data_time: 0.0239 memory: 8198 grad_norm: 7.1005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9910 loss: 0.9910 2022/08/03 20:36:12 - mmengine - INFO - Epoch(train) [199][560/1879] lr: 1.0000e-04 eta: 8:35:19 time: 0.2960 data_time: 0.0249 memory: 8198 grad_norm: 6.9915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0188 loss: 1.0188 2022/08/03 20:36:18 - mmengine - INFO - Epoch(train) [199][580/1879] lr: 1.0000e-04 eta: 8:35:14 time: 0.2834 data_time: 0.0232 memory: 8198 grad_norm: 7.2971 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9446 loss: 0.9446 2022/08/03 20:36:23 - mmengine - INFO - Epoch(train) [199][600/1879] lr: 1.0000e-04 eta: 8:35:08 time: 0.2864 data_time: 0.0191 memory: 8198 grad_norm: 7.0473 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0983 loss: 1.0983 2022/08/03 20:36:30 - mmengine - INFO - Epoch(train) [199][620/1879] lr: 1.0000e-04 eta: 8:35:02 time: 0.3065 data_time: 0.0250 memory: 8198 grad_norm: 7.0540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0621 loss: 1.0621 2022/08/03 20:36:35 - mmengine - INFO - Epoch(train) [199][640/1879] lr: 1.0000e-04 eta: 8:34:57 time: 0.2833 data_time: 0.0243 memory: 8198 grad_norm: 7.0578 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8369 loss: 0.8369 2022/08/03 20:36:41 - mmengine - INFO - Epoch(train) [199][660/1879] lr: 1.0000e-04 eta: 8:34:51 time: 0.2839 data_time: 0.0212 memory: 8198 grad_norm: 7.1039 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0852 loss: 1.0852 2022/08/03 20:36:47 - mmengine - INFO - Epoch(train) [199][680/1879] lr: 1.0000e-04 eta: 8:34:45 time: 0.2839 data_time: 0.0280 memory: 8198 grad_norm: 7.4516 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0026 loss: 1.0026 2022/08/03 20:36:53 - mmengine - INFO - Epoch(train) [199][700/1879] lr: 1.0000e-04 eta: 8:34:40 time: 0.3148 data_time: 0.0204 memory: 8198 grad_norm: 7.0425 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0621 loss: 1.0621 2022/08/03 20:36:59 - mmengine - INFO - Epoch(train) [199][720/1879] lr: 1.0000e-04 eta: 8:34:34 time: 0.2832 data_time: 0.0205 memory: 8198 grad_norm: 7.0874 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0338 loss: 1.0338 2022/08/03 20:37:04 - mmengine - INFO - Epoch(train) [199][740/1879] lr: 1.0000e-04 eta: 8:34:28 time: 0.2846 data_time: 0.0240 memory: 8198 grad_norm: 7.1361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/08/03 20:37:10 - mmengine - INFO - Epoch(train) [199][760/1879] lr: 1.0000e-04 eta: 8:34:23 time: 0.2925 data_time: 0.0261 memory: 8198 grad_norm: 6.9686 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8992 loss: 0.8992 2022/08/03 20:37:16 - mmengine - INFO - Epoch(train) [199][780/1879] lr: 1.0000e-04 eta: 8:34:17 time: 0.2848 data_time: 0.0205 memory: 8198 grad_norm: 7.4350 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8958 loss: 0.8958 2022/08/03 20:37:22 - mmengine - INFO - Epoch(train) [199][800/1879] lr: 1.0000e-04 eta: 8:34:11 time: 0.2840 data_time: 0.0184 memory: 8198 grad_norm: 7.1349 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9662 loss: 0.9662 2022/08/03 20:37:27 - mmengine - INFO - Epoch(train) [199][820/1879] lr: 1.0000e-04 eta: 8:34:06 time: 0.2857 data_time: 0.0192 memory: 8198 grad_norm: 7.3597 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0167 loss: 1.0167 2022/08/03 20:37:33 - mmengine - INFO - Epoch(train) [199][840/1879] lr: 1.0000e-04 eta: 8:34:00 time: 0.2928 data_time: 0.0204 memory: 8198 grad_norm: 7.3487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/08/03 20:37:39 - mmengine - INFO - Epoch(train) [199][860/1879] lr: 1.0000e-04 eta: 8:33:54 time: 0.2870 data_time: 0.0225 memory: 8198 grad_norm: 7.2461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8885 loss: 0.8885 2022/08/03 20:37:45 - mmengine - INFO - Epoch(train) [199][880/1879] lr: 1.0000e-04 eta: 8:33:48 time: 0.2878 data_time: 0.0229 memory: 8198 grad_norm: 7.1254 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9926 loss: 0.9926 2022/08/03 20:37:51 - mmengine - INFO - Epoch(train) [199][900/1879] lr: 1.0000e-04 eta: 8:33:43 time: 0.2885 data_time: 0.0212 memory: 8198 grad_norm: 7.0184 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/03 20:37:56 - mmengine - INFO - Epoch(train) [199][920/1879] lr: 1.0000e-04 eta: 8:33:37 time: 0.2863 data_time: 0.0245 memory: 8198 grad_norm: 7.1808 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0857 loss: 1.0857 2022/08/03 20:38:02 - mmengine - INFO - Epoch(train) [199][940/1879] lr: 1.0000e-04 eta: 8:33:31 time: 0.2916 data_time: 0.0209 memory: 8198 grad_norm: 7.0591 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9244 loss: 0.9244 2022/08/03 20:38:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:38:08 - mmengine - INFO - Epoch(train) [199][960/1879] lr: 1.0000e-04 eta: 8:33:26 time: 0.2883 data_time: 0.0236 memory: 8198 grad_norm: 7.1450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/08/03 20:38:14 - mmengine - INFO - Epoch(train) [199][980/1879] lr: 1.0000e-04 eta: 8:33:20 time: 0.2838 data_time: 0.0203 memory: 8198 grad_norm: 7.0655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0074 loss: 1.0074 2022/08/03 20:38:20 - mmengine - INFO - Epoch(train) [199][1000/1879] lr: 1.0000e-04 eta: 8:33:14 time: 0.2882 data_time: 0.0203 memory: 8198 grad_norm: 7.2590 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0836 loss: 1.0836 2022/08/03 20:38:25 - mmengine - INFO - Epoch(train) [199][1020/1879] lr: 1.0000e-04 eta: 8:33:09 time: 0.2862 data_time: 0.0248 memory: 8198 grad_norm: 7.3032 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/03 20:38:31 - mmengine - INFO - Epoch(train) [199][1040/1879] lr: 1.0000e-04 eta: 8:33:03 time: 0.2922 data_time: 0.0244 memory: 8198 grad_norm: 7.2124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9859 loss: 0.9859 2022/08/03 20:38:37 - mmengine - INFO - Epoch(train) [199][1060/1879] lr: 1.0000e-04 eta: 8:32:57 time: 0.2867 data_time: 0.0237 memory: 8198 grad_norm: 7.3018 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8715 loss: 0.8715 2022/08/03 20:38:43 - mmengine - INFO - Epoch(train) [199][1080/1879] lr: 1.0000e-04 eta: 8:32:52 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 7.2053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8485 loss: 0.8485 2022/08/03 20:38:49 - mmengine - INFO - Epoch(train) [199][1100/1879] lr: 1.0000e-04 eta: 8:32:46 time: 0.2942 data_time: 0.0219 memory: 8198 grad_norm: 7.0587 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/08/03 20:38:54 - mmengine - INFO - Epoch(train) [199][1120/1879] lr: 1.0000e-04 eta: 8:32:40 time: 0.2837 data_time: 0.0235 memory: 8198 grad_norm: 7.1774 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0342 loss: 1.0342 2022/08/03 20:39:00 - mmengine - INFO - Epoch(train) [199][1140/1879] lr: 1.0000e-04 eta: 8:32:35 time: 0.2868 data_time: 0.0227 memory: 8198 grad_norm: 7.1008 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8813 loss: 0.8813 2022/08/03 20:39:06 - mmengine - INFO - Epoch(train) [199][1160/1879] lr: 1.0000e-04 eta: 8:32:29 time: 0.2870 data_time: 0.0251 memory: 8198 grad_norm: 7.1730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/08/03 20:39:12 - mmengine - INFO - Epoch(train) [199][1180/1879] lr: 1.0000e-04 eta: 8:32:23 time: 0.2875 data_time: 0.0247 memory: 8198 grad_norm: 7.1372 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0273 loss: 1.0273 2022/08/03 20:39:17 - mmengine - INFO - Epoch(train) [199][1200/1879] lr: 1.0000e-04 eta: 8:32:17 time: 0.2859 data_time: 0.0229 memory: 8198 grad_norm: 7.2651 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/08/03 20:39:23 - mmengine - INFO - Epoch(train) [199][1220/1879] lr: 1.0000e-04 eta: 8:32:12 time: 0.2886 data_time: 0.0216 memory: 8198 grad_norm: 7.1122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8163 loss: 0.8163 2022/08/03 20:39:29 - mmengine - INFO - Epoch(train) [199][1240/1879] lr: 1.0000e-04 eta: 8:32:06 time: 0.2908 data_time: 0.0304 memory: 8198 grad_norm: 7.1084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/08/03 20:39:35 - mmengine - INFO - Epoch(train) [199][1260/1879] lr: 1.0000e-04 eta: 8:32:00 time: 0.2832 data_time: 0.0170 memory: 8198 grad_norm: 7.1489 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9373 loss: 0.9373 2022/08/03 20:39:41 - mmengine - INFO - Epoch(train) [199][1280/1879] lr: 1.0000e-04 eta: 8:31:55 time: 0.2870 data_time: 0.0226 memory: 8198 grad_norm: 7.1850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0032 loss: 1.0032 2022/08/03 20:39:46 - mmengine - INFO - Epoch(train) [199][1300/1879] lr: 1.0000e-04 eta: 8:31:49 time: 0.2824 data_time: 0.0219 memory: 8198 grad_norm: 7.2495 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9928 loss: 0.9928 2022/08/03 20:39:52 - mmengine - INFO - Epoch(train) [199][1320/1879] lr: 1.0000e-04 eta: 8:31:43 time: 0.2859 data_time: 0.0232 memory: 8198 grad_norm: 7.0128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9881 loss: 0.9881 2022/08/03 20:39:58 - mmengine - INFO - Epoch(train) [199][1340/1879] lr: 1.0000e-04 eta: 8:31:38 time: 0.2927 data_time: 0.0204 memory: 8198 grad_norm: 7.3153 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0009 loss: 1.0009 2022/08/03 20:40:04 - mmengine - INFO - Epoch(train) [199][1360/1879] lr: 1.0000e-04 eta: 8:31:32 time: 0.2872 data_time: 0.0249 memory: 8198 grad_norm: 7.5134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0334 loss: 1.0334 2022/08/03 20:40:09 - mmengine - INFO - Epoch(train) [199][1380/1879] lr: 1.0000e-04 eta: 8:31:26 time: 0.2881 data_time: 0.0178 memory: 8198 grad_norm: 7.2128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/08/03 20:40:15 - mmengine - INFO - Epoch(train) [199][1400/1879] lr: 1.0000e-04 eta: 8:31:21 time: 0.2861 data_time: 0.0232 memory: 8198 grad_norm: 7.0370 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9132 loss: 0.9132 2022/08/03 20:40:21 - mmengine - INFO - Epoch(train) [199][1420/1879] lr: 1.0000e-04 eta: 8:31:15 time: 0.2879 data_time: 0.0236 memory: 8198 grad_norm: 6.8417 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/08/03 20:40:27 - mmengine - INFO - Epoch(train) [199][1440/1879] lr: 1.0000e-04 eta: 8:31:09 time: 0.2874 data_time: 0.0235 memory: 8198 grad_norm: 7.1338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/08/03 20:40:33 - mmengine - INFO - Epoch(train) [199][1460/1879] lr: 1.0000e-04 eta: 8:31:03 time: 0.2889 data_time: 0.0245 memory: 8198 grad_norm: 7.1768 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0126 loss: 1.0126 2022/08/03 20:40:38 - mmengine - INFO - Epoch(train) [199][1480/1879] lr: 1.0000e-04 eta: 8:30:58 time: 0.2877 data_time: 0.0248 memory: 8198 grad_norm: 7.3703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/08/03 20:40:44 - mmengine - INFO - Epoch(train) [199][1500/1879] lr: 1.0000e-04 eta: 8:30:52 time: 0.2838 data_time: 0.0225 memory: 8198 grad_norm: 7.1659 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8637 loss: 0.8637 2022/08/03 20:40:50 - mmengine - INFO - Epoch(train) [199][1520/1879] lr: 1.0000e-04 eta: 8:30:46 time: 0.2933 data_time: 0.0240 memory: 8198 grad_norm: 6.9504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9515 loss: 0.9515 2022/08/03 20:40:56 - mmengine - INFO - Epoch(train) [199][1540/1879] lr: 1.0000e-04 eta: 8:30:41 time: 0.2830 data_time: 0.0194 memory: 8198 grad_norm: 7.0562 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0414 loss: 1.0414 2022/08/03 20:41:01 - mmengine - INFO - Epoch(train) [199][1560/1879] lr: 1.0000e-04 eta: 8:30:35 time: 0.2865 data_time: 0.0239 memory: 8198 grad_norm: 7.0770 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9611 loss: 0.9611 2022/08/03 20:41:07 - mmengine - INFO - Epoch(train) [199][1580/1879] lr: 1.0000e-04 eta: 8:30:29 time: 0.2880 data_time: 0.0192 memory: 8198 grad_norm: 7.0740 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/08/03 20:41:13 - mmengine - INFO - Epoch(train) [199][1600/1879] lr: 1.0000e-04 eta: 8:30:24 time: 0.2875 data_time: 0.0269 memory: 8198 grad_norm: 7.0898 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0394 loss: 1.0394 2022/08/03 20:41:19 - mmengine - INFO - Epoch(train) [199][1620/1879] lr: 1.0000e-04 eta: 8:30:18 time: 0.2851 data_time: 0.0190 memory: 8198 grad_norm: 7.3429 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1134 loss: 1.1134 2022/08/03 20:41:25 - mmengine - INFO - Epoch(train) [199][1640/1879] lr: 1.0000e-04 eta: 8:30:12 time: 0.2941 data_time: 0.0244 memory: 8198 grad_norm: 7.2459 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7462 loss: 0.7462 2022/08/03 20:41:30 - mmengine - INFO - Epoch(train) [199][1660/1879] lr: 1.0000e-04 eta: 8:30:07 time: 0.2844 data_time: 0.0225 memory: 8198 grad_norm: 7.0162 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/08/03 20:41:36 - mmengine - INFO - Epoch(train) [199][1680/1879] lr: 1.0000e-04 eta: 8:30:01 time: 0.2862 data_time: 0.0226 memory: 8198 grad_norm: 7.2285 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/08/03 20:41:42 - mmengine - INFO - Epoch(train) [199][1700/1879] lr: 1.0000e-04 eta: 8:29:55 time: 0.2975 data_time: 0.0204 memory: 8198 grad_norm: 7.2609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7827 loss: 0.7827 2022/08/03 20:41:48 - mmengine - INFO - Epoch(train) [199][1720/1879] lr: 1.0000e-04 eta: 8:29:50 time: 0.2861 data_time: 0.0241 memory: 8198 grad_norm: 7.2569 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8578 loss: 0.8578 2022/08/03 20:41:53 - mmengine - INFO - Epoch(train) [199][1740/1879] lr: 1.0000e-04 eta: 8:29:44 time: 0.2857 data_time: 0.0221 memory: 8198 grad_norm: 7.1945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9061 loss: 0.9061 2022/08/03 20:41:59 - mmengine - INFO - Epoch(train) [199][1760/1879] lr: 1.0000e-04 eta: 8:29:38 time: 0.2903 data_time: 0.0235 memory: 8198 grad_norm: 7.1328 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9679 loss: 0.9679 2022/08/03 20:42:05 - mmengine - INFO - Epoch(train) [199][1780/1879] lr: 1.0000e-04 eta: 8:29:32 time: 0.2834 data_time: 0.0229 memory: 8198 grad_norm: 6.8122 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/08/03 20:42:11 - mmengine - INFO - Epoch(train) [199][1800/1879] lr: 1.0000e-04 eta: 8:29:27 time: 0.2859 data_time: 0.0250 memory: 8198 grad_norm: 6.8711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8681 loss: 0.8681 2022/08/03 20:42:17 - mmengine - INFO - Epoch(train) [199][1820/1879] lr: 1.0000e-04 eta: 8:29:21 time: 0.2881 data_time: 0.0216 memory: 8198 grad_norm: 7.0845 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/03 20:42:22 - mmengine - INFO - Epoch(train) [199][1840/1879] lr: 1.0000e-04 eta: 8:29:15 time: 0.2853 data_time: 0.0178 memory: 8198 grad_norm: 7.1952 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0305 loss: 1.0305 2022/08/03 20:42:28 - mmengine - INFO - Epoch(train) [199][1860/1879] lr: 1.0000e-04 eta: 8:29:10 time: 0.2881 data_time: 0.0234 memory: 8198 grad_norm: 7.0687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9051 loss: 0.9051 2022/08/03 20:42:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:42:33 - mmengine - INFO - Epoch(train) [199][1879/1879] lr: 1.0000e-04 eta: 8:29:10 time: 0.2643 data_time: 0.0168 memory: 8198 grad_norm: 7.2848 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 1.0031 loss: 1.0031 2022/08/03 20:42:41 - mmengine - INFO - Epoch(train) [200][20/1879] lr: 1.0000e-04 eta: 8:28:58 time: 0.3996 data_time: 0.0980 memory: 8198 grad_norm: 7.1802 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8778 loss: 0.8778 2022/08/03 20:42:47 - mmengine - INFO - Epoch(train) [200][40/1879] lr: 1.0000e-04 eta: 8:28:52 time: 0.2918 data_time: 0.0234 memory: 8198 grad_norm: 7.2220 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9894 loss: 0.9894 2022/08/03 20:42:53 - mmengine - INFO - Epoch(train) [200][60/1879] lr: 1.0000e-04 eta: 8:28:46 time: 0.2963 data_time: 0.0236 memory: 8198 grad_norm: 7.1115 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/03 20:42:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:42:59 - mmengine - INFO - Epoch(train) [200][80/1879] lr: 1.0000e-04 eta: 8:28:41 time: 0.2882 data_time: 0.0215 memory: 8198 grad_norm: 7.2126 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0866 loss: 1.0866 2022/08/03 20:43:04 - mmengine - INFO - Epoch(train) [200][100/1879] lr: 1.0000e-04 eta: 8:28:35 time: 0.2859 data_time: 0.0233 memory: 8198 grad_norm: 7.0410 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/03 20:43:10 - mmengine - INFO - Epoch(train) [200][120/1879] lr: 1.0000e-04 eta: 8:28:29 time: 0.3001 data_time: 0.0191 memory: 8198 grad_norm: 7.2397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0201 loss: 1.0201 2022/08/03 20:43:16 - mmengine - INFO - Epoch(train) [200][140/1879] lr: 1.0000e-04 eta: 8:28:24 time: 0.2824 data_time: 0.0181 memory: 8198 grad_norm: 7.2607 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0305 loss: 1.0305 2022/08/03 20:43:22 - mmengine - INFO - Epoch(train) [200][160/1879] lr: 1.0000e-04 eta: 8:28:18 time: 0.2901 data_time: 0.0249 memory: 8198 grad_norm: 7.1275 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0414 loss: 1.0414 2022/08/03 20:43:28 - mmengine - INFO - Epoch(train) [200][180/1879] lr: 1.0000e-04 eta: 8:28:12 time: 0.2863 data_time: 0.0223 memory: 8198 grad_norm: 7.0558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8237 loss: 0.8237 2022/08/03 20:43:34 - mmengine - INFO - Epoch(train) [200][200/1879] lr: 1.0000e-04 eta: 8:28:07 time: 0.2860 data_time: 0.0198 memory: 8198 grad_norm: 7.4128 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/08/03 20:43:40 - mmengine - INFO - Epoch(train) [200][220/1879] lr: 1.0000e-04 eta: 8:28:01 time: 0.3004 data_time: 0.0214 memory: 8198 grad_norm: 7.1448 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0213 loss: 1.0213 2022/08/03 20:43:45 - mmengine - INFO - Epoch(train) [200][240/1879] lr: 1.0000e-04 eta: 8:27:55 time: 0.2840 data_time: 0.0232 memory: 8198 grad_norm: 7.1551 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1265 loss: 1.1265 2022/08/03 20:43:51 - mmengine - INFO - Epoch(train) [200][260/1879] lr: 1.0000e-04 eta: 8:27:49 time: 0.2841 data_time: 0.0211 memory: 8198 grad_norm: 6.9220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0100 loss: 1.0100 2022/08/03 20:43:57 - mmengine - INFO - Epoch(train) [200][280/1879] lr: 1.0000e-04 eta: 8:27:44 time: 0.2871 data_time: 0.0227 memory: 8198 grad_norm: 7.4015 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8141 loss: 0.8141 2022/08/03 20:44:03 - mmengine - INFO - Epoch(train) [200][300/1879] lr: 1.0000e-04 eta: 8:27:38 time: 0.2919 data_time: 0.0231 memory: 8198 grad_norm: 7.2104 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9875 loss: 0.9875 2022/08/03 20:44:08 - mmengine - INFO - Epoch(train) [200][320/1879] lr: 1.0000e-04 eta: 8:27:32 time: 0.2839 data_time: 0.0272 memory: 8198 grad_norm: 7.2737 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9550 loss: 0.9550 2022/08/03 20:44:14 - mmengine - INFO - Epoch(train) [200][340/1879] lr: 1.0000e-04 eta: 8:27:27 time: 0.2843 data_time: 0.0197 memory: 8198 grad_norm: 7.1603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/03 20:44:20 - mmengine - INFO - Epoch(train) [200][360/1879] lr: 1.0000e-04 eta: 8:27:21 time: 0.2922 data_time: 0.0240 memory: 8198 grad_norm: 7.1251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9480 loss: 0.9480 2022/08/03 20:44:26 - mmengine - INFO - Epoch(train) [200][380/1879] lr: 1.0000e-04 eta: 8:27:15 time: 0.2877 data_time: 0.0232 memory: 8198 grad_norm: 7.1179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9040 loss: 0.9040 2022/08/03 20:44:32 - mmengine - INFO - Epoch(train) [200][400/1879] lr: 1.0000e-04 eta: 8:27:10 time: 0.2917 data_time: 0.0201 memory: 8198 grad_norm: 7.2881 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0430 loss: 1.0430 2022/08/03 20:44:37 - mmengine - INFO - Epoch(train) [200][420/1879] lr: 1.0000e-04 eta: 8:27:04 time: 0.2839 data_time: 0.0270 memory: 8198 grad_norm: 7.1700 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9743 loss: 0.9743 2022/08/03 20:44:43 - mmengine - INFO - Epoch(train) [200][440/1879] lr: 1.0000e-04 eta: 8:26:58 time: 0.2958 data_time: 0.0252 memory: 8198 grad_norm: 7.3904 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0348 loss: 1.0348 2022/08/03 20:44:49 - mmengine - INFO - Epoch(train) [200][460/1879] lr: 1.0000e-04 eta: 8:26:53 time: 0.2861 data_time: 0.0263 memory: 8198 grad_norm: 7.2358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9920 loss: 0.9920 2022/08/03 20:44:55 - mmengine - INFO - Epoch(train) [200][480/1879] lr: 1.0000e-04 eta: 8:26:47 time: 0.2869 data_time: 0.0239 memory: 8198 grad_norm: 7.1847 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9207 loss: 0.9207 2022/08/03 20:45:01 - mmengine - INFO - Epoch(train) [200][500/1879] lr: 1.0000e-04 eta: 8:26:41 time: 0.2895 data_time: 0.0216 memory: 8198 grad_norm: 7.0782 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/03 20:45:06 - mmengine - INFO - Epoch(train) [200][520/1879] lr: 1.0000e-04 eta: 8:26:36 time: 0.2878 data_time: 0.0245 memory: 8198 grad_norm: 7.2504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/08/03 20:45:12 - mmengine - INFO - Epoch(train) [200][540/1879] lr: 1.0000e-04 eta: 8:26:30 time: 0.3006 data_time: 0.0224 memory: 8198 grad_norm: 7.2039 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0713 loss: 1.0713 2022/08/03 20:45:18 - mmengine - INFO - Epoch(train) [200][560/1879] lr: 1.0000e-04 eta: 8:26:24 time: 0.2854 data_time: 0.0237 memory: 8198 grad_norm: 7.1071 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/08/03 20:45:24 - mmengine - INFO - Epoch(train) [200][580/1879] lr: 1.0000e-04 eta: 8:26:19 time: 0.2856 data_time: 0.0243 memory: 8198 grad_norm: 7.0675 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0653 loss: 1.0653 2022/08/03 20:45:30 - mmengine - INFO - Epoch(train) [200][600/1879] lr: 1.0000e-04 eta: 8:26:13 time: 0.2954 data_time: 0.0268 memory: 8198 grad_norm: 7.3034 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8662 loss: 0.8662 2022/08/03 20:45:35 - mmengine - INFO - Epoch(train) [200][620/1879] lr: 1.0000e-04 eta: 8:26:07 time: 0.2842 data_time: 0.0183 memory: 8198 grad_norm: 7.0598 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0604 loss: 1.0604 2022/08/03 20:45:41 - mmengine - INFO - Epoch(train) [200][640/1879] lr: 1.0000e-04 eta: 8:26:02 time: 0.2975 data_time: 0.0231 memory: 8198 grad_norm: 7.1141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9135 loss: 0.9135 2022/08/03 20:45:47 - mmengine - INFO - Epoch(train) [200][660/1879] lr: 1.0000e-04 eta: 8:25:56 time: 0.2949 data_time: 0.0184 memory: 8198 grad_norm: 7.1556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8344 loss: 0.8344 2022/08/03 20:45:53 - mmengine - INFO - Epoch(train) [200][680/1879] lr: 1.0000e-04 eta: 8:25:50 time: 0.2816 data_time: 0.0214 memory: 8198 grad_norm: 7.1338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0176 loss: 1.0176 2022/08/03 20:45:59 - mmengine - INFO - Epoch(train) [200][700/1879] lr: 1.0000e-04 eta: 8:25:45 time: 0.2890 data_time: 0.0240 memory: 8198 grad_norm: 7.1317 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9949 loss: 0.9949 2022/08/03 20:46:05 - mmengine - INFO - Epoch(train) [200][720/1879] lr: 1.0000e-04 eta: 8:25:39 time: 0.2849 data_time: 0.0215 memory: 8198 grad_norm: 7.4541 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0691 loss: 1.0691 2022/08/03 20:46:10 - mmengine - INFO - Epoch(train) [200][740/1879] lr: 1.0000e-04 eta: 8:25:33 time: 0.2849 data_time: 0.0196 memory: 8198 grad_norm: 7.0556 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0710 loss: 1.0710 2022/08/03 20:46:16 - mmengine - INFO - Epoch(train) [200][760/1879] lr: 1.0000e-04 eta: 8:25:27 time: 0.2880 data_time: 0.0241 memory: 8198 grad_norm: 7.1432 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0730 loss: 1.0730 2022/08/03 20:46:22 - mmengine - INFO - Epoch(train) [200][780/1879] lr: 1.0000e-04 eta: 8:25:22 time: 0.2952 data_time: 0.0193 memory: 8198 grad_norm: 7.1044 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1483 loss: 1.1483 2022/08/03 20:46:28 - mmengine - INFO - Epoch(train) [200][800/1879] lr: 1.0000e-04 eta: 8:25:16 time: 0.2826 data_time: 0.0274 memory: 8198 grad_norm: 7.0731 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9615 loss: 0.9615 2022/08/03 20:46:33 - mmengine - INFO - Epoch(train) [200][820/1879] lr: 1.0000e-04 eta: 8:25:10 time: 0.2854 data_time: 0.0225 memory: 8198 grad_norm: 7.3610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/08/03 20:46:39 - mmengine - INFO - Epoch(train) [200][840/1879] lr: 1.0000e-04 eta: 8:25:05 time: 0.2946 data_time: 0.0254 memory: 8198 grad_norm: 7.0013 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9419 loss: 0.9419 2022/08/03 20:46:45 - mmengine - INFO - Epoch(train) [200][860/1879] lr: 1.0000e-04 eta: 8:24:59 time: 0.2836 data_time: 0.0196 memory: 8198 grad_norm: 7.1982 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0166 loss: 1.0166 2022/08/03 20:46:51 - mmengine - INFO - Epoch(train) [200][880/1879] lr: 1.0000e-04 eta: 8:24:53 time: 0.2900 data_time: 0.0218 memory: 8198 grad_norm: 6.9946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/08/03 20:46:57 - mmengine - INFO - Epoch(train) [200][900/1879] lr: 1.0000e-04 eta: 8:24:48 time: 0.2869 data_time: 0.0206 memory: 8198 grad_norm: 7.0162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8787 loss: 0.8787 2022/08/03 20:47:02 - mmengine - INFO - Epoch(train) [200][920/1879] lr: 1.0000e-04 eta: 8:24:42 time: 0.2883 data_time: 0.0191 memory: 8198 grad_norm: 7.1013 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8968 loss: 0.8968 2022/08/03 20:47:08 - mmengine - INFO - Epoch(train) [200][940/1879] lr: 1.0000e-04 eta: 8:24:36 time: 0.2953 data_time: 0.0223 memory: 8198 grad_norm: 7.1748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1237 loss: 1.1237 2022/08/03 20:47:14 - mmengine - INFO - Epoch(train) [200][960/1879] lr: 1.0000e-04 eta: 8:24:31 time: 0.2858 data_time: 0.0200 memory: 8198 grad_norm: 7.2985 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0478 loss: 1.0478 2022/08/03 20:47:20 - mmengine - INFO - Epoch(train) [200][980/1879] lr: 1.0000e-04 eta: 8:24:25 time: 0.2874 data_time: 0.0189 memory: 8198 grad_norm: 7.1164 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/08/03 20:47:26 - mmengine - INFO - Epoch(train) [200][1000/1879] lr: 1.0000e-04 eta: 8:24:19 time: 0.2871 data_time: 0.0223 memory: 8198 grad_norm: 7.2891 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8870 loss: 0.8870 2022/08/03 20:47:31 - mmengine - INFO - Epoch(train) [200][1020/1879] lr: 1.0000e-04 eta: 8:24:14 time: 0.2875 data_time: 0.0207 memory: 8198 grad_norm: 6.9463 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8480 loss: 0.8480 2022/08/03 20:47:37 - mmengine - INFO - Epoch(train) [200][1040/1879] lr: 1.0000e-04 eta: 8:24:08 time: 0.2840 data_time: 0.0212 memory: 8198 grad_norm: 7.0264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0550 loss: 1.0550 2022/08/03 20:47:43 - mmengine - INFO - Epoch(train) [200][1060/1879] lr: 1.0000e-04 eta: 8:24:02 time: 0.2929 data_time: 0.0235 memory: 8198 grad_norm: 7.0416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9337 loss: 0.9337 2022/08/03 20:47:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:47:49 - mmengine - INFO - Epoch(train) [200][1080/1879] lr: 1.0000e-04 eta: 8:23:56 time: 0.2849 data_time: 0.0220 memory: 8198 grad_norm: 7.0849 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8655 loss: 0.8655 2022/08/03 20:47:55 - mmengine - INFO - Epoch(train) [200][1100/1879] lr: 1.0000e-04 eta: 8:23:51 time: 0.2880 data_time: 0.0217 memory: 8198 grad_norm: 7.2952 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1287 loss: 1.1287 2022/08/03 20:48:00 - mmengine - INFO - Epoch(train) [200][1120/1879] lr: 1.0000e-04 eta: 8:23:45 time: 0.2856 data_time: 0.0211 memory: 8198 grad_norm: 7.2182 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2323 loss: 1.2323 2022/08/03 20:48:06 - mmengine - INFO - Epoch(train) [200][1140/1879] lr: 1.0000e-04 eta: 8:23:39 time: 0.2853 data_time: 0.0191 memory: 8198 grad_norm: 7.1883 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/03 20:48:12 - mmengine - INFO - Epoch(train) [200][1160/1879] lr: 1.0000e-04 eta: 8:23:34 time: 0.2965 data_time: 0.0189 memory: 8198 grad_norm: 7.2235 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9146 loss: 0.9146 2022/08/03 20:48:18 - mmengine - INFO - Epoch(train) [200][1180/1879] lr: 1.0000e-04 eta: 8:23:28 time: 0.2848 data_time: 0.0235 memory: 8198 grad_norm: 7.2219 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0980 loss: 1.0980 2022/08/03 20:48:24 - mmengine - INFO - Epoch(train) [200][1200/1879] lr: 1.0000e-04 eta: 8:23:22 time: 0.2865 data_time: 0.0194 memory: 8198 grad_norm: 7.2678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9850 loss: 0.9850 2022/08/03 20:48:29 - mmengine - INFO - Epoch(train) [200][1220/1879] lr: 1.0000e-04 eta: 8:23:17 time: 0.2902 data_time: 0.0328 memory: 8198 grad_norm: 7.0655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8440 loss: 0.8440 2022/08/03 20:48:35 - mmengine - INFO - Epoch(train) [200][1240/1879] lr: 1.0000e-04 eta: 8:23:11 time: 0.2843 data_time: 0.0208 memory: 8198 grad_norm: 7.1510 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0817 loss: 1.0817 2022/08/03 20:48:41 - mmengine - INFO - Epoch(train) [200][1260/1879] lr: 1.0000e-04 eta: 8:23:05 time: 0.2876 data_time: 0.0197 memory: 8198 grad_norm: 7.1360 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9381 loss: 0.9381 2022/08/03 20:48:46 - mmengine - INFO - Epoch(train) [200][1280/1879] lr: 1.0000e-04 eta: 8:23:00 time: 0.2833 data_time: 0.0213 memory: 8198 grad_norm: 7.2301 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0723 loss: 1.0723 2022/08/03 20:48:52 - mmengine - INFO - Epoch(train) [200][1300/1879] lr: 1.0000e-04 eta: 8:22:54 time: 0.2896 data_time: 0.0234 memory: 8198 grad_norm: 7.4175 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9623 loss: 0.9623 2022/08/03 20:48:58 - mmengine - INFO - Epoch(train) [200][1320/1879] lr: 1.0000e-04 eta: 8:22:48 time: 0.2849 data_time: 0.0246 memory: 8198 grad_norm: 7.1528 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/03 20:49:04 - mmengine - INFO - Epoch(train) [200][1340/1879] lr: 1.0000e-04 eta: 8:22:42 time: 0.2848 data_time: 0.0270 memory: 8198 grad_norm: 6.9817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9756 loss: 0.9756 2022/08/03 20:49:10 - mmengine - INFO - Epoch(train) [200][1360/1879] lr: 1.0000e-04 eta: 8:22:37 time: 0.2883 data_time: 0.0245 memory: 8198 grad_norm: 7.4113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/08/03 20:49:15 - mmengine - INFO - Epoch(train) [200][1380/1879] lr: 1.0000e-04 eta: 8:22:31 time: 0.2854 data_time: 0.0228 memory: 8198 grad_norm: 7.2172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9438 loss: 0.9438 2022/08/03 20:49:21 - mmengine - INFO - Epoch(train) [200][1400/1879] lr: 1.0000e-04 eta: 8:22:25 time: 0.2881 data_time: 0.0243 memory: 8198 grad_norm: 7.0201 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0530 loss: 1.0530 2022/08/03 20:49:27 - mmengine - INFO - Epoch(train) [200][1420/1879] lr: 1.0000e-04 eta: 8:22:20 time: 0.2862 data_time: 0.0244 memory: 8198 grad_norm: 7.1981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1655 loss: 1.1655 2022/08/03 20:49:33 - mmengine - INFO - Epoch(train) [200][1440/1879] lr: 1.0000e-04 eta: 8:22:14 time: 0.2871 data_time: 0.0249 memory: 8198 grad_norm: 7.0572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1120 loss: 1.1120 2022/08/03 20:49:38 - mmengine - INFO - Epoch(train) [200][1460/1879] lr: 1.0000e-04 eta: 8:22:08 time: 0.2863 data_time: 0.0207 memory: 8198 grad_norm: 6.9566 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0046 loss: 1.0046 2022/08/03 20:49:44 - mmengine - INFO - Epoch(train) [200][1480/1879] lr: 1.0000e-04 eta: 8:22:03 time: 0.2864 data_time: 0.0283 memory: 8198 grad_norm: 7.3043 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9983 loss: 0.9983 2022/08/03 20:49:50 - mmengine - INFO - Epoch(train) [200][1500/1879] lr: 1.0000e-04 eta: 8:21:57 time: 0.3007 data_time: 0.0227 memory: 8198 grad_norm: 7.0285 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0017 loss: 1.0017 2022/08/03 20:49:56 - mmengine - INFO - Epoch(train) [200][1520/1879] lr: 1.0000e-04 eta: 8:21:51 time: 0.2847 data_time: 0.0280 memory: 8198 grad_norm: 7.1986 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/03 20:50:02 - mmengine - INFO - Epoch(train) [200][1540/1879] lr: 1.0000e-04 eta: 8:21:46 time: 0.2864 data_time: 0.0260 memory: 8198 grad_norm: 7.1461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0700 loss: 1.0700 2022/08/03 20:50:07 - mmengine - INFO - Epoch(train) [200][1560/1879] lr: 1.0000e-04 eta: 8:21:40 time: 0.2860 data_time: 0.0267 memory: 8198 grad_norm: 7.0571 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9701 loss: 0.9701 2022/08/03 20:50:13 - mmengine - INFO - Epoch(train) [200][1580/1879] lr: 1.0000e-04 eta: 8:21:34 time: 0.2895 data_time: 0.0196 memory: 8198 grad_norm: 7.0813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9445 loss: 0.9445 2022/08/03 20:50:19 - mmengine - INFO - Epoch(train) [200][1600/1879] lr: 1.0000e-04 eta: 8:21:28 time: 0.2864 data_time: 0.0283 memory: 8198 grad_norm: 6.9820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6415 loss: 0.6415 2022/08/03 20:50:25 - mmengine - INFO - Epoch(train) [200][1620/1879] lr: 1.0000e-04 eta: 8:21:23 time: 0.2872 data_time: 0.0209 memory: 8198 grad_norm: 7.2650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0104 loss: 1.0104 2022/08/03 20:50:31 - mmengine - INFO - Epoch(train) [200][1640/1879] lr: 1.0000e-04 eta: 8:21:17 time: 0.2866 data_time: 0.0256 memory: 8198 grad_norm: 7.3444 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1531 loss: 1.1531 2022/08/03 20:50:36 - mmengine - INFO - Epoch(train) [200][1660/1879] lr: 1.0000e-04 eta: 8:21:11 time: 0.2856 data_time: 0.0260 memory: 8198 grad_norm: 7.0105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9633 loss: 0.9633 2022/08/03 20:50:42 - mmengine - INFO - Epoch(train) [200][1680/1879] lr: 1.0000e-04 eta: 8:21:06 time: 0.2905 data_time: 0.0304 memory: 8198 grad_norm: 7.4661 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9096 loss: 0.9096 2022/08/03 20:50:48 - mmengine - INFO - Epoch(train) [200][1700/1879] lr: 1.0000e-04 eta: 8:21:00 time: 0.2866 data_time: 0.0216 memory: 8198 grad_norm: 7.1469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0436 loss: 1.0436 2022/08/03 20:50:54 - mmengine - INFO - Epoch(train) [200][1720/1879] lr: 1.0000e-04 eta: 8:20:54 time: 0.2841 data_time: 0.0205 memory: 8198 grad_norm: 7.2535 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0239 loss: 1.0239 2022/08/03 20:50:59 - mmengine - INFO - Epoch(train) [200][1740/1879] lr: 1.0000e-04 eta: 8:20:49 time: 0.2863 data_time: 0.0217 memory: 8198 grad_norm: 7.1309 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1040 loss: 1.1040 2022/08/03 20:51:05 - mmengine - INFO - Epoch(train) [200][1760/1879] lr: 1.0000e-04 eta: 8:20:43 time: 0.2866 data_time: 0.0245 memory: 8198 grad_norm: 7.3257 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/03 20:51:11 - mmengine - INFO - Epoch(train) [200][1780/1879] lr: 1.0000e-04 eta: 8:20:37 time: 0.2820 data_time: 0.0183 memory: 8198 grad_norm: 7.2112 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1204 loss: 1.1204 2022/08/03 20:51:16 - mmengine - INFO - Epoch(train) [200][1800/1879] lr: 1.0000e-04 eta: 8:20:31 time: 0.2859 data_time: 0.0235 memory: 8198 grad_norm: 7.2543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1117 loss: 1.1117 2022/08/03 20:51:22 - mmengine - INFO - Epoch(train) [200][1820/1879] lr: 1.0000e-04 eta: 8:20:26 time: 0.2911 data_time: 0.0210 memory: 8198 grad_norm: 7.0573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8665 loss: 0.8665 2022/08/03 20:51:28 - mmengine - INFO - Epoch(train) [200][1840/1879] lr: 1.0000e-04 eta: 8:20:20 time: 0.2869 data_time: 0.0238 memory: 8198 grad_norm: 6.9545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8390 loss: 0.8390 2022/08/03 20:51:34 - mmengine - INFO - Epoch(train) [200][1860/1879] lr: 1.0000e-04 eta: 8:20:14 time: 0.2865 data_time: 0.0202 memory: 8198 grad_norm: 7.0292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8671 loss: 0.8671 2022/08/03 20:51:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:51:39 - mmengine - INFO - Epoch(train) [200][1879/1879] lr: 1.0000e-04 eta: 8:20:14 time: 0.2586 data_time: 0.0137 memory: 8198 grad_norm: 7.1734 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8002 loss: 0.8002 2022/08/03 20:51:39 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/03 20:51:49 - mmengine - INFO - Epoch(val) [200][20/155] eta: 0:00:46 time: 0.3472 data_time: 0.2595 memory: 1514 2022/08/03 20:51:54 - mmengine - INFO - Epoch(val) [200][40/155] eta: 0:00:25 time: 0.2253 data_time: 0.1383 memory: 1514 2022/08/03 20:52:00 - mmengine - INFO - Epoch(val) [200][60/155] eta: 0:00:28 time: 0.2988 data_time: 0.2126 memory: 1514 2022/08/03 20:52:04 - mmengine - INFO - Epoch(val) [200][80/155] eta: 0:00:17 time: 0.2289 data_time: 0.1430 memory: 1514 2022/08/03 20:52:11 - mmengine - INFO - Epoch(val) [200][100/155] eta: 0:00:17 time: 0.3203 data_time: 0.2328 memory: 1514 2022/08/03 20:52:15 - mmengine - INFO - Epoch(val) [200][120/155] eta: 0:00:07 time: 0.2177 data_time: 0.1295 memory: 1514 2022/08/03 20:52:20 - mmengine - INFO - Epoch(val) [200][140/155] eta: 0:00:04 time: 0.2723 data_time: 0.1909 memory: 1514 2022/08/03 20:52:25 - mmengine - INFO - Epoch(val) [200][155/155] acc/top1: 0.6788 acc/top5: 0.8679 acc/mean1: 0.6787 2022/08/03 20:52:33 - mmengine - INFO - Epoch(train) [201][20/1879] lr: 1.0000e-04 eta: 8:20:02 time: 0.4007 data_time: 0.1025 memory: 8198 grad_norm: 7.2174 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0046 loss: 1.0046 2022/08/03 20:52:39 - mmengine - INFO - Epoch(train) [201][40/1879] lr: 1.0000e-04 eta: 8:19:57 time: 0.2925 data_time: 0.0192 memory: 8198 grad_norm: 6.9891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/08/03 20:52:45 - mmengine - INFO - Epoch(train) [201][60/1879] lr: 1.0000e-04 eta: 8:19:51 time: 0.2931 data_time: 0.0229 memory: 8198 grad_norm: 7.0857 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0077 loss: 1.0077 2022/08/03 20:52:51 - mmengine - INFO - Epoch(train) [201][80/1879] lr: 1.0000e-04 eta: 8:19:45 time: 0.2909 data_time: 0.0226 memory: 8198 grad_norm: 7.1206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8582 loss: 0.8582 2022/08/03 20:52:56 - mmengine - INFO - Epoch(train) [201][100/1879] lr: 1.0000e-04 eta: 8:19:40 time: 0.2886 data_time: 0.0211 memory: 8198 grad_norm: 7.2594 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0845 loss: 1.0845 2022/08/03 20:53:02 - mmengine - INFO - Epoch(train) [201][120/1879] lr: 1.0000e-04 eta: 8:19:34 time: 0.2909 data_time: 0.0223 memory: 8198 grad_norm: 7.1306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9290 loss: 0.9290 2022/08/03 20:53:08 - mmengine - INFO - Epoch(train) [201][140/1879] lr: 1.0000e-04 eta: 8:19:28 time: 0.2872 data_time: 0.0294 memory: 8198 grad_norm: 7.2337 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8482 loss: 0.8482 2022/08/03 20:53:14 - mmengine - INFO - Epoch(train) [201][160/1879] lr: 1.0000e-04 eta: 8:19:23 time: 0.2864 data_time: 0.0232 memory: 8198 grad_norm: 7.3030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0174 loss: 1.0174 2022/08/03 20:53:20 - mmengine - INFO - Epoch(train) [201][180/1879] lr: 1.0000e-04 eta: 8:19:17 time: 0.2886 data_time: 0.0235 memory: 8198 grad_norm: 7.0113 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8971 loss: 0.8971 2022/08/03 20:53:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:53:25 - mmengine - INFO - Epoch(train) [201][200/1879] lr: 1.0000e-04 eta: 8:19:11 time: 0.2842 data_time: 0.0218 memory: 8198 grad_norm: 7.2529 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7254 loss: 0.7254 2022/08/03 20:53:31 - mmengine - INFO - Epoch(train) [201][220/1879] lr: 1.0000e-04 eta: 8:19:06 time: 0.2886 data_time: 0.0243 memory: 8198 grad_norm: 7.0271 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/08/03 20:53:37 - mmengine - INFO - Epoch(train) [201][240/1879] lr: 1.0000e-04 eta: 8:19:00 time: 0.2841 data_time: 0.0230 memory: 8198 grad_norm: 7.0633 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9887 loss: 0.9887 2022/08/03 20:53:43 - mmengine - INFO - Epoch(train) [201][260/1879] lr: 1.0000e-04 eta: 8:18:54 time: 0.2876 data_time: 0.0226 memory: 8198 grad_norm: 7.0613 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8598 loss: 0.8598 2022/08/03 20:53:48 - mmengine - INFO - Epoch(train) [201][280/1879] lr: 1.0000e-04 eta: 8:18:49 time: 0.2853 data_time: 0.0221 memory: 8198 grad_norm: 6.9632 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7787 loss: 0.7787 2022/08/03 20:53:54 - mmengine - INFO - Epoch(train) [201][300/1879] lr: 1.0000e-04 eta: 8:18:43 time: 0.2890 data_time: 0.0193 memory: 8198 grad_norm: 6.9948 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8786 loss: 0.8786 2022/08/03 20:54:00 - mmengine - INFO - Epoch(train) [201][320/1879] lr: 1.0000e-04 eta: 8:18:37 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 7.1413 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/08/03 20:54:06 - mmengine - INFO - Epoch(train) [201][340/1879] lr: 1.0000e-04 eta: 8:18:31 time: 0.2872 data_time: 0.0242 memory: 8198 grad_norm: 6.9764 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8665 loss: 0.8665 2022/08/03 20:54:12 - mmengine - INFO - Epoch(train) [201][360/1879] lr: 1.0000e-04 eta: 8:18:26 time: 0.2841 data_time: 0.0211 memory: 8198 grad_norm: 7.2122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0093 loss: 1.0093 2022/08/03 20:54:17 - mmengine - INFO - Epoch(train) [201][380/1879] lr: 1.0000e-04 eta: 8:18:20 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 7.4904 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/08/03 20:54:23 - mmengine - INFO - Epoch(train) [201][400/1879] lr: 1.0000e-04 eta: 8:18:14 time: 0.2949 data_time: 0.0182 memory: 8198 grad_norm: 7.1285 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9856 loss: 0.9856 2022/08/03 20:54:29 - mmengine - INFO - Epoch(train) [201][420/1879] lr: 1.0000e-04 eta: 8:18:09 time: 0.2846 data_time: 0.0235 memory: 8198 grad_norm: 7.2368 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0410 loss: 1.0410 2022/08/03 20:54:35 - mmengine - INFO - Epoch(train) [201][440/1879] lr: 1.0000e-04 eta: 8:18:03 time: 0.2869 data_time: 0.0213 memory: 8198 grad_norm: 7.1694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9459 loss: 0.9459 2022/08/03 20:54:41 - mmengine - INFO - Epoch(train) [201][460/1879] lr: 1.0000e-04 eta: 8:17:57 time: 0.2965 data_time: 0.0231 memory: 8198 grad_norm: 7.3556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9865 loss: 0.9865 2022/08/03 20:54:46 - mmengine - INFO - Epoch(train) [201][480/1879] lr: 1.0000e-04 eta: 8:17:52 time: 0.2840 data_time: 0.0240 memory: 8198 grad_norm: 7.1911 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1291 loss: 1.1291 2022/08/03 20:54:52 - mmengine - INFO - Epoch(train) [201][500/1879] lr: 1.0000e-04 eta: 8:17:46 time: 0.2863 data_time: 0.0229 memory: 8198 grad_norm: 7.1888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1578 loss: 1.1578 2022/08/03 20:54:58 - mmengine - INFO - Epoch(train) [201][520/1879] lr: 1.0000e-04 eta: 8:17:40 time: 0.2846 data_time: 0.0232 memory: 8198 grad_norm: 7.2981 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9643 loss: 0.9643 2022/08/03 20:55:04 - mmengine - INFO - Epoch(train) [201][540/1879] lr: 1.0000e-04 eta: 8:17:35 time: 0.2968 data_time: 0.0235 memory: 8198 grad_norm: 7.1187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9978 loss: 0.9978 2022/08/03 20:55:10 - mmengine - INFO - Epoch(train) [201][560/1879] lr: 1.0000e-04 eta: 8:17:29 time: 0.2852 data_time: 0.0240 memory: 8198 grad_norm: 7.0532 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9607 loss: 0.9607 2022/08/03 20:55:15 - mmengine - INFO - Epoch(train) [201][580/1879] lr: 1.0000e-04 eta: 8:17:23 time: 0.2903 data_time: 0.0261 memory: 8198 grad_norm: 7.1249 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/08/03 20:55:21 - mmengine - INFO - Epoch(train) [201][600/1879] lr: 1.0000e-04 eta: 8:17:18 time: 0.3015 data_time: 0.0206 memory: 8198 grad_norm: 7.1358 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9659 loss: 0.9659 2022/08/03 20:55:27 - mmengine - INFO - Epoch(train) [201][620/1879] lr: 1.0000e-04 eta: 8:17:12 time: 0.2825 data_time: 0.0225 memory: 8198 grad_norm: 6.7756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8419 loss: 0.8419 2022/08/03 20:55:33 - mmengine - INFO - Epoch(train) [201][640/1879] lr: 1.0000e-04 eta: 8:17:06 time: 0.2942 data_time: 0.0225 memory: 8198 grad_norm: 7.4256 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0775 loss: 1.0775 2022/08/03 20:55:39 - mmengine - INFO - Epoch(train) [201][660/1879] lr: 1.0000e-04 eta: 8:17:01 time: 0.2841 data_time: 0.0240 memory: 8198 grad_norm: 7.1926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0656 loss: 1.0656 2022/08/03 20:55:45 - mmengine - INFO - Epoch(train) [201][680/1879] lr: 1.0000e-04 eta: 8:16:55 time: 0.2887 data_time: 0.0207 memory: 8198 grad_norm: 7.3266 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0092 loss: 1.0092 2022/08/03 20:55:50 - mmengine - INFO - Epoch(train) [201][700/1879] lr: 1.0000e-04 eta: 8:16:49 time: 0.2885 data_time: 0.0268 memory: 8198 grad_norm: 7.0330 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9515 loss: 0.9515 2022/08/03 20:55:56 - mmengine - INFO - Epoch(train) [201][720/1879] lr: 1.0000e-04 eta: 8:16:43 time: 0.2860 data_time: 0.0250 memory: 8198 grad_norm: 7.2328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/08/03 20:56:02 - mmengine - INFO - Epoch(train) [201][740/1879] lr: 1.0000e-04 eta: 8:16:38 time: 0.2862 data_time: 0.0223 memory: 8198 grad_norm: 7.0887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9198 loss: 0.9198 2022/08/03 20:56:08 - mmengine - INFO - Epoch(train) [201][760/1879] lr: 1.0000e-04 eta: 8:16:32 time: 0.2837 data_time: 0.0209 memory: 8198 grad_norm: 7.1279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9265 loss: 0.9265 2022/08/03 20:56:13 - mmengine - INFO - Epoch(train) [201][780/1879] lr: 1.0000e-04 eta: 8:16:26 time: 0.2897 data_time: 0.0234 memory: 8198 grad_norm: 6.9968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9979 loss: 0.9979 2022/08/03 20:56:19 - mmengine - INFO - Epoch(train) [201][800/1879] lr: 1.0000e-04 eta: 8:16:21 time: 0.2854 data_time: 0.0244 memory: 8198 grad_norm: 7.4228 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0109 loss: 1.0109 2022/08/03 20:56:25 - mmengine - INFO - Epoch(train) [201][820/1879] lr: 1.0000e-04 eta: 8:16:15 time: 0.2904 data_time: 0.0250 memory: 8198 grad_norm: 7.3927 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0385 loss: 1.0385 2022/08/03 20:56:31 - mmengine - INFO - Epoch(train) [201][840/1879] lr: 1.0000e-04 eta: 8:16:09 time: 0.2952 data_time: 0.0227 memory: 8198 grad_norm: 7.3105 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0153 loss: 1.0153 2022/08/03 20:56:37 - mmengine - INFO - Epoch(train) [201][860/1879] lr: 1.0000e-04 eta: 8:16:04 time: 0.2859 data_time: 0.0203 memory: 8198 grad_norm: 7.2371 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9641 loss: 0.9641 2022/08/03 20:56:43 - mmengine - INFO - Epoch(train) [201][880/1879] lr: 1.0000e-04 eta: 8:15:58 time: 0.2981 data_time: 0.0211 memory: 8198 grad_norm: 6.9728 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9662 loss: 0.9662 2022/08/03 20:56:48 - mmengine - INFO - Epoch(train) [201][900/1879] lr: 1.0000e-04 eta: 8:15:52 time: 0.2846 data_time: 0.0206 memory: 8198 grad_norm: 7.2163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/08/03 20:56:54 - mmengine - INFO - Epoch(train) [201][920/1879] lr: 1.0000e-04 eta: 8:15:47 time: 0.2916 data_time: 0.0332 memory: 8198 grad_norm: 6.9971 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8802 loss: 0.8802 2022/08/03 20:57:00 - mmengine - INFO - Epoch(train) [201][940/1879] lr: 1.0000e-04 eta: 8:15:41 time: 0.2902 data_time: 0.0219 memory: 8198 grad_norm: 7.1073 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/08/03 20:57:06 - mmengine - INFO - Epoch(train) [201][960/1879] lr: 1.0000e-04 eta: 8:15:35 time: 0.2837 data_time: 0.0208 memory: 8198 grad_norm: 7.1239 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1102 loss: 1.1102 2022/08/03 20:57:12 - mmengine - INFO - Epoch(train) [201][980/1879] lr: 1.0000e-04 eta: 8:15:30 time: 0.2906 data_time: 0.0196 memory: 8198 grad_norm: 7.1533 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/08/03 20:57:17 - mmengine - INFO - Epoch(train) [201][1000/1879] lr: 1.0000e-04 eta: 8:15:24 time: 0.2838 data_time: 0.0199 memory: 8198 grad_norm: 7.2084 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/08/03 20:57:23 - mmengine - INFO - Epoch(train) [201][1020/1879] lr: 1.0000e-04 eta: 8:15:18 time: 0.2934 data_time: 0.0184 memory: 8198 grad_norm: 7.2448 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9824 loss: 0.9824 2022/08/03 20:57:29 - mmengine - INFO - Epoch(train) [201][1040/1879] lr: 1.0000e-04 eta: 8:15:12 time: 0.2868 data_time: 0.0250 memory: 8198 grad_norm: 7.0816 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9899 loss: 0.9899 2022/08/03 20:57:35 - mmengine - INFO - Epoch(train) [201][1060/1879] lr: 1.0000e-04 eta: 8:15:07 time: 0.2874 data_time: 0.0284 memory: 8198 grad_norm: 7.2015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8200 loss: 0.8200 2022/08/03 20:57:41 - mmengine - INFO - Epoch(train) [201][1080/1879] lr: 1.0000e-04 eta: 8:15:01 time: 0.2989 data_time: 0.0244 memory: 8198 grad_norm: 7.0740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9121 loss: 0.9121 2022/08/03 20:57:47 - mmengine - INFO - Epoch(train) [201][1100/1879] lr: 1.0000e-04 eta: 8:14:55 time: 0.2924 data_time: 0.0200 memory: 8198 grad_norm: 7.4236 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0488 loss: 1.0488 2022/08/03 20:57:52 - mmengine - INFO - Epoch(train) [201][1120/1879] lr: 1.0000e-04 eta: 8:14:50 time: 0.2837 data_time: 0.0213 memory: 8198 grad_norm: 7.0176 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8989 loss: 0.8989 2022/08/03 20:57:58 - mmengine - INFO - Epoch(train) [201][1140/1879] lr: 1.0000e-04 eta: 8:14:44 time: 0.2905 data_time: 0.0255 memory: 8198 grad_norm: 7.4284 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/03 20:58:04 - mmengine - INFO - Epoch(train) [201][1160/1879] lr: 1.0000e-04 eta: 8:14:38 time: 0.2895 data_time: 0.0182 memory: 8198 grad_norm: 7.0584 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9111 loss: 0.9111 2022/08/03 20:58:10 - mmengine - INFO - Epoch(train) [201][1180/1879] lr: 1.0000e-04 eta: 8:14:33 time: 0.2875 data_time: 0.0213 memory: 8198 grad_norm: 7.2939 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8893 loss: 0.8893 2022/08/03 20:58:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 20:58:15 - mmengine - INFO - Epoch(train) [201][1200/1879] lr: 1.0000e-04 eta: 8:14:27 time: 0.2848 data_time: 0.0203 memory: 8198 grad_norm: 7.4864 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9677 loss: 0.9677 2022/08/03 20:58:21 - mmengine - INFO - Epoch(train) [201][1220/1879] lr: 1.0000e-04 eta: 8:14:21 time: 0.2865 data_time: 0.0222 memory: 8198 grad_norm: 7.0154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9398 loss: 0.9398 2022/08/03 20:58:27 - mmengine - INFO - Epoch(train) [201][1240/1879] lr: 1.0000e-04 eta: 8:14:16 time: 0.2814 data_time: 0.0233 memory: 8198 grad_norm: 7.1061 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8972 loss: 0.8972 2022/08/03 20:58:33 - mmengine - INFO - Epoch(train) [201][1260/1879] lr: 1.0000e-04 eta: 8:14:10 time: 0.2879 data_time: 0.0260 memory: 8198 grad_norm: 7.2034 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0426 loss: 1.0426 2022/08/03 20:58:38 - mmengine - INFO - Epoch(train) [201][1280/1879] lr: 1.0000e-04 eta: 8:14:04 time: 0.2861 data_time: 0.0225 memory: 8198 grad_norm: 6.9238 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7895 loss: 0.7895 2022/08/03 20:58:44 - mmengine - INFO - Epoch(train) [201][1300/1879] lr: 1.0000e-04 eta: 8:13:59 time: 0.2893 data_time: 0.0235 memory: 8198 grad_norm: 7.0606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9040 loss: 0.9040 2022/08/03 20:58:50 - mmengine - INFO - Epoch(train) [201][1320/1879] lr: 1.0000e-04 eta: 8:13:53 time: 0.2866 data_time: 0.0217 memory: 8198 grad_norm: 7.0607 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8079 loss: 0.8079 2022/08/03 20:58:56 - mmengine - INFO - Epoch(train) [201][1340/1879] lr: 1.0000e-04 eta: 8:13:47 time: 0.2869 data_time: 0.0207 memory: 8198 grad_norm: 7.0054 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8098 loss: 0.8098 2022/08/03 20:59:02 - mmengine - INFO - Epoch(train) [201][1360/1879] lr: 1.0000e-04 eta: 8:13:42 time: 0.3042 data_time: 0.0211 memory: 8198 grad_norm: 7.3490 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9781 loss: 0.9781 2022/08/03 20:59:07 - mmengine - INFO - Epoch(train) [201][1380/1879] lr: 1.0000e-04 eta: 8:13:36 time: 0.2823 data_time: 0.0202 memory: 8198 grad_norm: 7.0232 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/03 20:59:13 - mmengine - INFO - Epoch(train) [201][1400/1879] lr: 1.0000e-04 eta: 8:13:30 time: 0.2859 data_time: 0.0229 memory: 8198 grad_norm: 6.9865 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9051 loss: 0.9051 2022/08/03 20:59:19 - mmengine - INFO - Epoch(train) [201][1420/1879] lr: 1.0000e-04 eta: 8:13:24 time: 0.2889 data_time: 0.0277 memory: 8198 grad_norm: 7.3705 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9786 loss: 0.9786 2022/08/03 20:59:25 - mmengine - INFO - Epoch(train) [201][1440/1879] lr: 1.0000e-04 eta: 8:13:19 time: 0.3006 data_time: 0.0285 memory: 8198 grad_norm: 7.2022 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/08/03 20:59:31 - mmengine - INFO - Epoch(train) [201][1460/1879] lr: 1.0000e-04 eta: 8:13:13 time: 0.2959 data_time: 0.0255 memory: 8198 grad_norm: 7.2280 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9118 loss: 0.9118 2022/08/03 20:59:37 - mmengine - INFO - Epoch(train) [201][1480/1879] lr: 1.0000e-04 eta: 8:13:07 time: 0.2835 data_time: 0.0220 memory: 8198 grad_norm: 7.2490 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1094 loss: 1.1094 2022/08/03 20:59:43 - mmengine - INFO - Epoch(train) [201][1500/1879] lr: 1.0000e-04 eta: 8:13:02 time: 0.2902 data_time: 0.0234 memory: 8198 grad_norm: 7.1056 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8589 loss: 0.8589 2022/08/03 20:59:48 - mmengine - INFO - Epoch(train) [201][1520/1879] lr: 1.0000e-04 eta: 8:12:56 time: 0.2853 data_time: 0.0218 memory: 8198 grad_norm: 7.0703 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9148 loss: 0.9148 2022/08/03 20:59:54 - mmengine - INFO - Epoch(train) [201][1540/1879] lr: 1.0000e-04 eta: 8:12:50 time: 0.2886 data_time: 0.0207 memory: 8198 grad_norm: 7.3836 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9450 loss: 0.9450 2022/08/03 21:00:00 - mmengine - INFO - Epoch(train) [201][1560/1879] lr: 1.0000e-04 eta: 8:12:45 time: 0.2903 data_time: 0.0184 memory: 8198 grad_norm: 7.3861 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0398 loss: 1.0398 2022/08/03 21:00:06 - mmengine - INFO - Epoch(train) [201][1580/1879] lr: 1.0000e-04 eta: 8:12:39 time: 0.3065 data_time: 0.0231 memory: 8198 grad_norm: 7.1756 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8354 loss: 0.8354 2022/08/03 21:00:12 - mmengine - INFO - Epoch(train) [201][1600/1879] lr: 1.0000e-04 eta: 8:12:33 time: 0.2868 data_time: 0.0216 memory: 8198 grad_norm: 7.2641 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9408 loss: 0.9408 2022/08/03 21:00:18 - mmengine - INFO - Epoch(train) [201][1620/1879] lr: 1.0000e-04 eta: 8:12:28 time: 0.2901 data_time: 0.0327 memory: 8198 grad_norm: 6.7548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0107 loss: 1.0107 2022/08/03 21:00:23 - mmengine - INFO - Epoch(train) [201][1640/1879] lr: 1.0000e-04 eta: 8:12:22 time: 0.2881 data_time: 0.0246 memory: 8198 grad_norm: 7.3591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8699 loss: 0.8699 2022/08/03 21:00:29 - mmengine - INFO - Epoch(train) [201][1660/1879] lr: 1.0000e-04 eta: 8:12:16 time: 0.2866 data_time: 0.0228 memory: 8198 grad_norm: 7.2052 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0195 loss: 1.0195 2022/08/03 21:00:35 - mmengine - INFO - Epoch(train) [201][1680/1879] lr: 1.0000e-04 eta: 8:12:11 time: 0.2833 data_time: 0.0201 memory: 8198 grad_norm: 6.9685 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0965 loss: 1.0965 2022/08/03 21:00:41 - mmengine - INFO - Epoch(train) [201][1700/1879] lr: 1.0000e-04 eta: 8:12:05 time: 0.2964 data_time: 0.0247 memory: 8198 grad_norm: 7.0407 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8877 loss: 0.8877 2022/08/03 21:00:47 - mmengine - INFO - Epoch(train) [201][1720/1879] lr: 1.0000e-04 eta: 8:11:59 time: 0.2830 data_time: 0.0205 memory: 8198 grad_norm: 7.1884 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0524 loss: 1.0524 2022/08/03 21:00:52 - mmengine - INFO - Epoch(train) [201][1740/1879] lr: 1.0000e-04 eta: 8:11:54 time: 0.2839 data_time: 0.0170 memory: 8198 grad_norm: 6.8819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8180 loss: 0.8180 2022/08/03 21:00:58 - mmengine - INFO - Epoch(train) [201][1760/1879] lr: 1.0000e-04 eta: 8:11:48 time: 0.2830 data_time: 0.0195 memory: 8198 grad_norm: 7.3225 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9908 loss: 0.9908 2022/08/03 21:01:04 - mmengine - INFO - Epoch(train) [201][1780/1879] lr: 1.0000e-04 eta: 8:11:42 time: 0.2955 data_time: 0.0267 memory: 8198 grad_norm: 7.0688 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0244 loss: 1.0244 2022/08/03 21:01:10 - mmengine - INFO - Epoch(train) [201][1800/1879] lr: 1.0000e-04 eta: 8:11:37 time: 0.2858 data_time: 0.0236 memory: 8198 grad_norm: 7.0888 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/08/03 21:01:15 - mmengine - INFO - Epoch(train) [201][1820/1879] lr: 1.0000e-04 eta: 8:11:31 time: 0.2890 data_time: 0.0244 memory: 8198 grad_norm: 7.0649 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8013 loss: 0.8013 2022/08/03 21:01:21 - mmengine - INFO - Epoch(train) [201][1840/1879] lr: 1.0000e-04 eta: 8:11:25 time: 0.2917 data_time: 0.0241 memory: 8198 grad_norm: 7.1694 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0439 loss: 1.0439 2022/08/03 21:01:27 - mmengine - INFO - Epoch(train) [201][1860/1879] lr: 1.0000e-04 eta: 8:11:19 time: 0.2845 data_time: 0.0256 memory: 8198 grad_norm: 7.3867 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8653 loss: 0.8653 2022/08/03 21:01:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:01:32 - mmengine - INFO - Epoch(train) [201][1879/1879] lr: 1.0000e-04 eta: 8:11:19 time: 0.2575 data_time: 0.0133 memory: 8198 grad_norm: 7.1350 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9643 loss: 0.9643 2022/08/03 21:01:40 - mmengine - INFO - Epoch(train) [202][20/1879] lr: 1.0000e-04 eta: 8:11:08 time: 0.4217 data_time: 0.1333 memory: 8198 grad_norm: 7.3345 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9429 loss: 0.9429 2022/08/03 21:01:46 - mmengine - INFO - Epoch(train) [202][40/1879] lr: 1.0000e-04 eta: 8:11:02 time: 0.2890 data_time: 0.0160 memory: 8198 grad_norm: 7.1776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8170 loss: 0.8170 2022/08/03 21:01:52 - mmengine - INFO - Epoch(train) [202][60/1879] lr: 1.0000e-04 eta: 8:10:56 time: 0.2968 data_time: 0.0222 memory: 8198 grad_norm: 7.3119 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1063 loss: 1.1063 2022/08/03 21:01:58 - mmengine - INFO - Epoch(train) [202][80/1879] lr: 1.0000e-04 eta: 8:10:51 time: 0.2837 data_time: 0.0253 memory: 8198 grad_norm: 7.2762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/08/03 21:02:04 - mmengine - INFO - Epoch(train) [202][100/1879] lr: 1.0000e-04 eta: 8:10:45 time: 0.2850 data_time: 0.0214 memory: 8198 grad_norm: 6.9766 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7947 loss: 0.7947 2022/08/03 21:02:09 - mmengine - INFO - Epoch(train) [202][120/1879] lr: 1.0000e-04 eta: 8:10:39 time: 0.2858 data_time: 0.0217 memory: 8198 grad_norm: 6.9321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8270 loss: 0.8270 2022/08/03 21:02:15 - mmengine - INFO - Epoch(train) [202][140/1879] lr: 1.0000e-04 eta: 8:10:33 time: 0.2883 data_time: 0.0226 memory: 8198 grad_norm: 7.3365 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1167 loss: 1.1167 2022/08/03 21:02:21 - mmengine - INFO - Epoch(train) [202][160/1879] lr: 1.0000e-04 eta: 8:10:28 time: 0.2871 data_time: 0.0243 memory: 8198 grad_norm: 7.2416 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9635 loss: 0.9635 2022/08/03 21:02:27 - mmengine - INFO - Epoch(train) [202][180/1879] lr: 1.0000e-04 eta: 8:10:22 time: 0.2857 data_time: 0.0231 memory: 8198 grad_norm: 7.2817 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9444 loss: 0.9444 2022/08/03 21:02:33 - mmengine - INFO - Epoch(train) [202][200/1879] lr: 1.0000e-04 eta: 8:10:16 time: 0.2920 data_time: 0.0282 memory: 8198 grad_norm: 7.1069 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/08/03 21:02:38 - mmengine - INFO - Epoch(train) [202][220/1879] lr: 1.0000e-04 eta: 8:10:11 time: 0.2864 data_time: 0.0248 memory: 8198 grad_norm: 7.2577 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0867 loss: 1.0867 2022/08/03 21:02:45 - mmengine - INFO - Epoch(train) [202][240/1879] lr: 1.0000e-04 eta: 8:10:05 time: 0.3206 data_time: 0.0245 memory: 8198 grad_norm: 7.4194 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7925 loss: 0.7925 2022/08/03 21:02:51 - mmengine - INFO - Epoch(train) [202][260/1879] lr: 1.0000e-04 eta: 8:10:00 time: 0.2926 data_time: 0.0313 memory: 8198 grad_norm: 7.3485 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9320 loss: 0.9320 2022/08/03 21:02:56 - mmengine - INFO - Epoch(train) [202][280/1879] lr: 1.0000e-04 eta: 8:09:54 time: 0.2834 data_time: 0.0246 memory: 8198 grad_norm: 7.1372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0687 loss: 1.0687 2022/08/03 21:03:03 - mmengine - INFO - Epoch(train) [202][300/1879] lr: 1.0000e-04 eta: 8:09:48 time: 0.3113 data_time: 0.0190 memory: 8198 grad_norm: 7.1573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8963 loss: 0.8963 2022/08/03 21:03:08 - mmengine - INFO - Epoch(train) [202][320/1879] lr: 1.0000e-04 eta: 8:09:43 time: 0.2830 data_time: 0.0233 memory: 8198 grad_norm: 7.1146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0225 loss: 1.0225 2022/08/03 21:03:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:03:14 - mmengine - INFO - Epoch(train) [202][340/1879] lr: 1.0000e-04 eta: 8:09:37 time: 0.2887 data_time: 0.0262 memory: 8198 grad_norm: 7.0171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8210 loss: 0.8210 2022/08/03 21:03:20 - mmengine - INFO - Epoch(train) [202][360/1879] lr: 1.0000e-04 eta: 8:09:31 time: 0.2877 data_time: 0.0295 memory: 8198 grad_norm: 6.9457 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0251 loss: 1.0251 2022/08/03 21:03:26 - mmengine - INFO - Epoch(train) [202][380/1879] lr: 1.0000e-04 eta: 8:09:26 time: 0.2895 data_time: 0.0262 memory: 8198 grad_norm: 7.0409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8263 loss: 0.8263 2022/08/03 21:03:31 - mmengine - INFO - Epoch(train) [202][400/1879] lr: 1.0000e-04 eta: 8:09:20 time: 0.2869 data_time: 0.0209 memory: 8198 grad_norm: 7.1419 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8472 loss: 0.8472 2022/08/03 21:03:37 - mmengine - INFO - Epoch(train) [202][420/1879] lr: 1.0000e-04 eta: 8:09:14 time: 0.2854 data_time: 0.0233 memory: 8198 grad_norm: 7.0468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9308 loss: 0.9308 2022/08/03 21:03:43 - mmengine - INFO - Epoch(train) [202][440/1879] lr: 1.0000e-04 eta: 8:09:08 time: 0.2955 data_time: 0.0225 memory: 8198 grad_norm: 7.3062 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9228 loss: 0.9228 2022/08/03 21:03:49 - mmengine - INFO - Epoch(train) [202][460/1879] lr: 1.0000e-04 eta: 8:09:03 time: 0.2831 data_time: 0.0206 memory: 8198 grad_norm: 7.1810 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0769 loss: 1.0769 2022/08/03 21:03:55 - mmengine - INFO - Epoch(train) [202][480/1879] lr: 1.0000e-04 eta: 8:08:57 time: 0.2865 data_time: 0.0205 memory: 8198 grad_norm: 6.8842 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9460 loss: 0.9460 2022/08/03 21:04:00 - mmengine - INFO - Epoch(train) [202][500/1879] lr: 1.0000e-04 eta: 8:08:51 time: 0.2896 data_time: 0.0209 memory: 8198 grad_norm: 7.2880 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8836 loss: 0.8836 2022/08/03 21:04:06 - mmengine - INFO - Epoch(train) [202][520/1879] lr: 1.0000e-04 eta: 8:08:46 time: 0.2838 data_time: 0.0207 memory: 8198 grad_norm: 7.3379 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/03 21:04:12 - mmengine - INFO - Epoch(train) [202][540/1879] lr: 1.0000e-04 eta: 8:08:40 time: 0.2886 data_time: 0.0208 memory: 8198 grad_norm: 7.1736 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7955 loss: 0.7955 2022/08/03 21:04:18 - mmengine - INFO - Epoch(train) [202][560/1879] lr: 1.0000e-04 eta: 8:08:34 time: 0.2845 data_time: 0.0218 memory: 8198 grad_norm: 7.0939 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8816 loss: 0.8816 2022/08/03 21:04:23 - mmengine - INFO - Epoch(train) [202][580/1879] lr: 1.0000e-04 eta: 8:08:29 time: 0.2855 data_time: 0.0207 memory: 8198 grad_norm: 7.5427 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9302 loss: 0.9302 2022/08/03 21:04:29 - mmengine - INFO - Epoch(train) [202][600/1879] lr: 1.0000e-04 eta: 8:08:23 time: 0.2858 data_time: 0.0207 memory: 8198 grad_norm: 7.0707 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8505 loss: 0.8505 2022/08/03 21:04:35 - mmengine - INFO - Epoch(train) [202][620/1879] lr: 1.0000e-04 eta: 8:08:17 time: 0.2897 data_time: 0.0204 memory: 8198 grad_norm: 7.2243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0546 loss: 1.0546 2022/08/03 21:04:41 - mmengine - INFO - Epoch(train) [202][640/1879] lr: 1.0000e-04 eta: 8:08:11 time: 0.2897 data_time: 0.0298 memory: 8198 grad_norm: 7.3230 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9448 loss: 0.9448 2022/08/03 21:04:47 - mmengine - INFO - Epoch(train) [202][660/1879] lr: 1.0000e-04 eta: 8:08:06 time: 0.2867 data_time: 0.0227 memory: 8198 grad_norm: 7.1925 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0207 loss: 1.0207 2022/08/03 21:04:52 - mmengine - INFO - Epoch(train) [202][680/1879] lr: 1.0000e-04 eta: 8:08:00 time: 0.2854 data_time: 0.0180 memory: 8198 grad_norm: 7.0786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7983 loss: 0.7983 2022/08/03 21:04:58 - mmengine - INFO - Epoch(train) [202][700/1879] lr: 1.0000e-04 eta: 8:07:54 time: 0.2842 data_time: 0.0204 memory: 8198 grad_norm: 7.3045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0356 loss: 1.0356 2022/08/03 21:05:04 - mmengine - INFO - Epoch(train) [202][720/1879] lr: 1.0000e-04 eta: 8:07:49 time: 0.2879 data_time: 0.0220 memory: 8198 grad_norm: 7.1510 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0701 loss: 1.0701 2022/08/03 21:05:09 - mmengine - INFO - Epoch(train) [202][740/1879] lr: 1.0000e-04 eta: 8:07:43 time: 0.2841 data_time: 0.0202 memory: 8198 grad_norm: 7.4749 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1312 loss: 1.1312 2022/08/03 21:05:15 - mmengine - INFO - Epoch(train) [202][760/1879] lr: 1.0000e-04 eta: 8:07:37 time: 0.2880 data_time: 0.0225 memory: 8198 grad_norm: 7.0974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0078 loss: 1.0078 2022/08/03 21:05:21 - mmengine - INFO - Epoch(train) [202][780/1879] lr: 1.0000e-04 eta: 8:07:32 time: 0.2882 data_time: 0.0271 memory: 8198 grad_norm: 7.2876 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/08/03 21:05:27 - mmengine - INFO - Epoch(train) [202][800/1879] lr: 1.0000e-04 eta: 8:07:26 time: 0.2835 data_time: 0.0191 memory: 8198 grad_norm: 7.2123 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7667 loss: 0.7667 2022/08/03 21:05:32 - mmengine - INFO - Epoch(train) [202][820/1879] lr: 1.0000e-04 eta: 8:07:20 time: 0.2859 data_time: 0.0186 memory: 8198 grad_norm: 7.3213 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1325 loss: 1.1325 2022/08/03 21:05:38 - mmengine - INFO - Epoch(train) [202][840/1879] lr: 1.0000e-04 eta: 8:07:15 time: 0.2860 data_time: 0.0196 memory: 8198 grad_norm: 6.9492 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9531 loss: 0.9531 2022/08/03 21:05:44 - mmengine - INFO - Epoch(train) [202][860/1879] lr: 1.0000e-04 eta: 8:07:09 time: 0.2848 data_time: 0.0206 memory: 8198 grad_norm: 7.4692 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0447 loss: 1.0447 2022/08/03 21:05:50 - mmengine - INFO - Epoch(train) [202][880/1879] lr: 1.0000e-04 eta: 8:07:03 time: 0.2854 data_time: 0.0199 memory: 8198 grad_norm: 7.0702 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0450 loss: 1.0450 2022/08/03 21:05:56 - mmengine - INFO - Epoch(train) [202][900/1879] lr: 1.0000e-04 eta: 8:06:57 time: 0.2898 data_time: 0.0212 memory: 8198 grad_norm: 7.1701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9379 loss: 0.9379 2022/08/03 21:06:01 - mmengine - INFO - Epoch(train) [202][920/1879] lr: 1.0000e-04 eta: 8:06:52 time: 0.2897 data_time: 0.0207 memory: 8198 grad_norm: 7.0810 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9942 loss: 0.9942 2022/08/03 21:06:07 - mmengine - INFO - Epoch(train) [202][940/1879] lr: 1.0000e-04 eta: 8:06:46 time: 0.2821 data_time: 0.0212 memory: 8198 grad_norm: 7.3602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9566 loss: 0.9566 2022/08/03 21:06:13 - mmengine - INFO - Epoch(train) [202][960/1879] lr: 1.0000e-04 eta: 8:06:40 time: 0.2892 data_time: 0.0244 memory: 8198 grad_norm: 7.0986 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/08/03 21:06:19 - mmengine - INFO - Epoch(train) [202][980/1879] lr: 1.0000e-04 eta: 8:06:35 time: 0.2870 data_time: 0.0199 memory: 8198 grad_norm: 7.1727 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0016 loss: 1.0016 2022/08/03 21:06:24 - mmengine - INFO - Epoch(train) [202][1000/1879] lr: 1.0000e-04 eta: 8:06:29 time: 0.2876 data_time: 0.0289 memory: 8198 grad_norm: 6.9766 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/03 21:06:30 - mmengine - INFO - Epoch(train) [202][1020/1879] lr: 1.0000e-04 eta: 8:06:23 time: 0.2842 data_time: 0.0252 memory: 8198 grad_norm: 6.7477 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/03 21:06:36 - mmengine - INFO - Epoch(train) [202][1040/1879] lr: 1.0000e-04 eta: 8:06:18 time: 0.2878 data_time: 0.0206 memory: 8198 grad_norm: 7.2907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9081 loss: 0.9081 2022/08/03 21:06:42 - mmengine - INFO - Epoch(train) [202][1060/1879] lr: 1.0000e-04 eta: 8:06:12 time: 0.2919 data_time: 0.0258 memory: 8198 grad_norm: 7.2254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9425 loss: 0.9425 2022/08/03 21:06:47 - mmengine - INFO - Epoch(train) [202][1080/1879] lr: 1.0000e-04 eta: 8:06:06 time: 0.2837 data_time: 0.0214 memory: 8198 grad_norm: 7.1380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8683 loss: 0.8683 2022/08/03 21:06:53 - mmengine - INFO - Epoch(train) [202][1100/1879] lr: 1.0000e-04 eta: 8:06:01 time: 0.2946 data_time: 0.0241 memory: 8198 grad_norm: 7.3189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8672 loss: 0.8672 2022/08/03 21:06:59 - mmengine - INFO - Epoch(train) [202][1120/1879] lr: 1.0000e-04 eta: 8:05:55 time: 0.2869 data_time: 0.0243 memory: 8198 grad_norm: 7.1900 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/03 21:07:05 - mmengine - INFO - Epoch(train) [202][1140/1879] lr: 1.0000e-04 eta: 8:05:49 time: 0.2897 data_time: 0.0279 memory: 8198 grad_norm: 7.4391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0095 loss: 1.0095 2022/08/03 21:07:11 - mmengine - INFO - Epoch(train) [202][1160/1879] lr: 1.0000e-04 eta: 8:05:43 time: 0.2875 data_time: 0.0215 memory: 8198 grad_norm: 7.3131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/08/03 21:07:16 - mmengine - INFO - Epoch(train) [202][1180/1879] lr: 1.0000e-04 eta: 8:05:38 time: 0.2870 data_time: 0.0214 memory: 8198 grad_norm: 7.1161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7721 loss: 0.7721 2022/08/03 21:07:22 - mmengine - INFO - Epoch(train) [202][1200/1879] lr: 1.0000e-04 eta: 8:05:32 time: 0.2889 data_time: 0.0237 memory: 8198 grad_norm: 7.1874 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9013 loss: 0.9013 2022/08/03 21:07:28 - mmengine - INFO - Epoch(train) [202][1220/1879] lr: 1.0000e-04 eta: 8:05:26 time: 0.2833 data_time: 0.0209 memory: 8198 grad_norm: 7.4469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8907 loss: 0.8907 2022/08/03 21:07:34 - mmengine - INFO - Epoch(train) [202][1240/1879] lr: 1.0000e-04 eta: 8:05:21 time: 0.2907 data_time: 0.0218 memory: 8198 grad_norm: 7.3486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9462 loss: 0.9462 2022/08/03 21:07:40 - mmengine - INFO - Epoch(train) [202][1260/1879] lr: 1.0000e-04 eta: 8:05:15 time: 0.2851 data_time: 0.0235 memory: 8198 grad_norm: 7.2899 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9672 loss: 0.9672 2022/08/03 21:07:45 - mmengine - INFO - Epoch(train) [202][1280/1879] lr: 1.0000e-04 eta: 8:05:09 time: 0.2875 data_time: 0.0216 memory: 8198 grad_norm: 7.4571 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8858 loss: 0.8858 2022/08/03 21:07:51 - mmengine - INFO - Epoch(train) [202][1300/1879] lr: 1.0000e-04 eta: 8:05:04 time: 0.2884 data_time: 0.0223 memory: 8198 grad_norm: 7.2825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0146 loss: 1.0146 2022/08/03 21:07:57 - mmengine - INFO - Epoch(train) [202][1320/1879] lr: 1.0000e-04 eta: 8:04:58 time: 0.2851 data_time: 0.0172 memory: 8198 grad_norm: 7.3394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8934 loss: 0.8934 2022/08/03 21:07:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:08:03 - mmengine - INFO - Epoch(train) [202][1340/1879] lr: 1.0000e-04 eta: 8:04:52 time: 0.2898 data_time: 0.0236 memory: 8198 grad_norm: 7.1176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9671 loss: 0.9671 2022/08/03 21:08:08 - mmengine - INFO - Epoch(train) [202][1360/1879] lr: 1.0000e-04 eta: 8:04:47 time: 0.2855 data_time: 0.0197 memory: 8198 grad_norm: 7.3442 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0353 loss: 1.0353 2022/08/03 21:08:14 - mmengine - INFO - Epoch(train) [202][1380/1879] lr: 1.0000e-04 eta: 8:04:41 time: 0.2913 data_time: 0.0264 memory: 8198 grad_norm: 7.2119 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0618 loss: 1.0618 2022/08/03 21:08:20 - mmengine - INFO - Epoch(train) [202][1400/1879] lr: 1.0000e-04 eta: 8:04:35 time: 0.2854 data_time: 0.0246 memory: 8198 grad_norm: 7.3045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9827 loss: 0.9827 2022/08/03 21:08:26 - mmengine - INFO - Epoch(train) [202][1420/1879] lr: 1.0000e-04 eta: 8:04:29 time: 0.2863 data_time: 0.0227 memory: 8198 grad_norm: 7.4851 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0682 loss: 1.0682 2022/08/03 21:08:32 - mmengine - INFO - Epoch(train) [202][1440/1879] lr: 1.0000e-04 eta: 8:04:24 time: 0.3042 data_time: 0.0207 memory: 8198 grad_norm: 7.2193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0583 loss: 1.0583 2022/08/03 21:08:38 - mmengine - INFO - Epoch(train) [202][1460/1879] lr: 1.0000e-04 eta: 8:04:18 time: 0.2795 data_time: 0.0220 memory: 8198 grad_norm: 7.0831 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0264 loss: 1.0264 2022/08/03 21:08:43 - mmengine - INFO - Epoch(train) [202][1480/1879] lr: 1.0000e-04 eta: 8:04:12 time: 0.2956 data_time: 0.0307 memory: 8198 grad_norm: 6.9641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9552 loss: 0.9552 2022/08/03 21:08:49 - mmengine - INFO - Epoch(train) [202][1500/1879] lr: 1.0000e-04 eta: 8:04:07 time: 0.2832 data_time: 0.0186 memory: 8198 grad_norm: 7.1492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0815 loss: 1.0815 2022/08/03 21:08:55 - mmengine - INFO - Epoch(train) [202][1520/1879] lr: 1.0000e-04 eta: 8:04:01 time: 0.2866 data_time: 0.0213 memory: 8198 grad_norm: 7.1208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9941 loss: 0.9941 2022/08/03 21:09:01 - mmengine - INFO - Epoch(train) [202][1540/1879] lr: 1.0000e-04 eta: 8:03:55 time: 0.2880 data_time: 0.0235 memory: 8198 grad_norm: 7.3065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0364 loss: 1.0364 2022/08/03 21:09:07 - mmengine - INFO - Epoch(train) [202][1560/1879] lr: 1.0000e-04 eta: 8:03:50 time: 0.2883 data_time: 0.0232 memory: 8198 grad_norm: 7.1858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/08/03 21:09:13 - mmengine - INFO - Epoch(train) [202][1580/1879] lr: 1.0000e-04 eta: 8:03:44 time: 0.3006 data_time: 0.0191 memory: 8198 grad_norm: 7.1310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8646 loss: 0.8646 2022/08/03 21:09:18 - mmengine - INFO - Epoch(train) [202][1600/1879] lr: 1.0000e-04 eta: 8:03:38 time: 0.2858 data_time: 0.0237 memory: 8198 grad_norm: 7.0096 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8866 loss: 0.8866 2022/08/03 21:09:24 - mmengine - INFO - Epoch(train) [202][1620/1879] lr: 1.0000e-04 eta: 8:03:33 time: 0.2886 data_time: 0.0260 memory: 8198 grad_norm: 6.9022 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8113 loss: 0.8113 2022/08/03 21:09:30 - mmengine - INFO - Epoch(train) [202][1640/1879] lr: 1.0000e-04 eta: 8:03:27 time: 0.2845 data_time: 0.0178 memory: 8198 grad_norm: 7.1262 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1623 loss: 1.1623 2022/08/03 21:09:36 - mmengine - INFO - Epoch(train) [202][1660/1879] lr: 1.0000e-04 eta: 8:03:21 time: 0.2861 data_time: 0.0238 memory: 8198 grad_norm: 7.1067 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8251 loss: 0.8251 2022/08/03 21:09:42 - mmengine - INFO - Epoch(train) [202][1680/1879] lr: 1.0000e-04 eta: 8:03:16 time: 0.3112 data_time: 0.0227 memory: 8198 grad_norm: 6.9857 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0141 loss: 1.0141 2022/08/03 21:09:48 - mmengine - INFO - Epoch(train) [202][1700/1879] lr: 1.0000e-04 eta: 8:03:10 time: 0.2894 data_time: 0.0292 memory: 8198 grad_norm: 7.2079 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9748 loss: 0.9748 2022/08/03 21:09:53 - mmengine - INFO - Epoch(train) [202][1720/1879] lr: 1.0000e-04 eta: 8:03:04 time: 0.2903 data_time: 0.0204 memory: 8198 grad_norm: 7.2995 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9288 loss: 0.9288 2022/08/03 21:09:59 - mmengine - INFO - Epoch(train) [202][1740/1879] lr: 1.0000e-04 eta: 8:02:59 time: 0.2874 data_time: 0.0274 memory: 8198 grad_norm: 7.0212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/08/03 21:10:05 - mmengine - INFO - Epoch(train) [202][1760/1879] lr: 1.0000e-04 eta: 8:02:53 time: 0.2889 data_time: 0.0227 memory: 8198 grad_norm: 7.2310 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0711 loss: 1.0711 2022/08/03 21:10:11 - mmengine - INFO - Epoch(train) [202][1780/1879] lr: 1.0000e-04 eta: 8:02:47 time: 0.2874 data_time: 0.0238 memory: 8198 grad_norm: 7.2894 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0155 loss: 1.0155 2022/08/03 21:10:17 - mmengine - INFO - Epoch(train) [202][1800/1879] lr: 1.0000e-04 eta: 8:02:42 time: 0.2871 data_time: 0.0226 memory: 8198 grad_norm: 7.2508 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9720 loss: 0.9720 2022/08/03 21:10:22 - mmengine - INFO - Epoch(train) [202][1820/1879] lr: 1.0000e-04 eta: 8:02:36 time: 0.2940 data_time: 0.0263 memory: 8198 grad_norm: 7.2224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0089 loss: 1.0089 2022/08/03 21:10:28 - mmengine - INFO - Epoch(train) [202][1840/1879] lr: 1.0000e-04 eta: 8:02:30 time: 0.2858 data_time: 0.0206 memory: 8198 grad_norm: 6.9456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8848 loss: 0.8848 2022/08/03 21:10:34 - mmengine - INFO - Epoch(train) [202][1860/1879] lr: 1.0000e-04 eta: 8:02:24 time: 0.2853 data_time: 0.0229 memory: 8198 grad_norm: 6.9287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/03 21:10:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:10:39 - mmengine - INFO - Epoch(train) [202][1879/1879] lr: 1.0000e-04 eta: 8:02:24 time: 0.2568 data_time: 0.0143 memory: 8198 grad_norm: 7.3341 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9062 loss: 0.9062 2022/08/03 21:10:47 - mmengine - INFO - Epoch(train) [203][20/1879] lr: 1.0000e-04 eta: 8:02:13 time: 0.4078 data_time: 0.1047 memory: 8198 grad_norm: 7.2157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8887 loss: 0.8887 2022/08/03 21:10:53 - mmengine - INFO - Epoch(train) [203][40/1879] lr: 1.0000e-04 eta: 8:02:07 time: 0.2932 data_time: 0.0211 memory: 8198 grad_norm: 7.0931 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1178 loss: 1.1178 2022/08/03 21:10:59 - mmengine - INFO - Epoch(train) [203][60/1879] lr: 1.0000e-04 eta: 8:02:01 time: 0.2892 data_time: 0.0274 memory: 8198 grad_norm: 7.3007 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9554 loss: 0.9554 2022/08/03 21:11:05 - mmengine - INFO - Epoch(train) [203][80/1879] lr: 1.0000e-04 eta: 8:01:56 time: 0.2849 data_time: 0.0215 memory: 8198 grad_norm: 7.2138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9387 loss: 0.9387 2022/08/03 21:11:10 - mmengine - INFO - Epoch(train) [203][100/1879] lr: 1.0000e-04 eta: 8:01:50 time: 0.2854 data_time: 0.0244 memory: 8198 grad_norm: 7.1229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0238 loss: 1.0238 2022/08/03 21:11:16 - mmengine - INFO - Epoch(train) [203][120/1879] lr: 1.0000e-04 eta: 8:01:44 time: 0.2848 data_time: 0.0228 memory: 8198 grad_norm: 7.2552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9489 loss: 0.9489 2022/08/03 21:11:22 - mmengine - INFO - Epoch(train) [203][140/1879] lr: 1.0000e-04 eta: 8:01:38 time: 0.2890 data_time: 0.0222 memory: 8198 grad_norm: 7.1452 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9166 loss: 0.9166 2022/08/03 21:11:28 - mmengine - INFO - Epoch(train) [203][160/1879] lr: 1.0000e-04 eta: 8:01:33 time: 0.2874 data_time: 0.0203 memory: 8198 grad_norm: 7.0563 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8620 loss: 0.8620 2022/08/03 21:11:33 - mmengine - INFO - Epoch(train) [203][180/1879] lr: 1.0000e-04 eta: 8:01:27 time: 0.2874 data_time: 0.0239 memory: 8198 grad_norm: 7.2773 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9238 loss: 0.9238 2022/08/03 21:11:39 - mmengine - INFO - Epoch(train) [203][200/1879] lr: 1.0000e-04 eta: 8:01:21 time: 0.2866 data_time: 0.0211 memory: 8198 grad_norm: 6.9625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9481 loss: 0.9481 2022/08/03 21:11:45 - mmengine - INFO - Epoch(train) [203][220/1879] lr: 1.0000e-04 eta: 8:01:16 time: 0.2932 data_time: 0.0270 memory: 8198 grad_norm: 6.9777 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8410 loss: 0.8410 2022/08/03 21:11:51 - mmengine - INFO - Epoch(train) [203][240/1879] lr: 1.0000e-04 eta: 8:01:10 time: 0.2860 data_time: 0.0232 memory: 8198 grad_norm: 7.1578 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9650 loss: 0.9650 2022/08/03 21:11:57 - mmengine - INFO - Epoch(train) [203][260/1879] lr: 1.0000e-04 eta: 8:01:04 time: 0.2882 data_time: 0.0219 memory: 8198 grad_norm: 7.2281 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0719 loss: 1.0719 2022/08/03 21:12:02 - mmengine - INFO - Epoch(train) [203][280/1879] lr: 1.0000e-04 eta: 8:00:59 time: 0.2940 data_time: 0.0219 memory: 8198 grad_norm: 7.0627 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8261 loss: 0.8261 2022/08/03 21:12:08 - mmengine - INFO - Epoch(train) [203][300/1879] lr: 1.0000e-04 eta: 8:00:53 time: 0.2846 data_time: 0.0213 memory: 8198 grad_norm: 7.4010 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/08/03 21:12:14 - mmengine - INFO - Epoch(train) [203][320/1879] lr: 1.0000e-04 eta: 8:00:47 time: 0.2876 data_time: 0.0241 memory: 8198 grad_norm: 7.0377 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0855 loss: 1.0855 2022/08/03 21:12:20 - mmengine - INFO - Epoch(train) [203][340/1879] lr: 1.0000e-04 eta: 8:00:42 time: 0.2866 data_time: 0.0200 memory: 8198 grad_norm: 6.9848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7559 loss: 0.7559 2022/08/03 21:12:26 - mmengine - INFO - Epoch(train) [203][360/1879] lr: 1.0000e-04 eta: 8:00:36 time: 0.2882 data_time: 0.0230 memory: 8198 grad_norm: 7.1528 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9661 loss: 0.9661 2022/08/03 21:12:31 - mmengine - INFO - Epoch(train) [203][380/1879] lr: 1.0000e-04 eta: 8:00:30 time: 0.2849 data_time: 0.0219 memory: 8198 grad_norm: 7.2479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0790 loss: 1.0790 2022/08/03 21:12:37 - mmengine - INFO - Epoch(train) [203][400/1879] lr: 1.0000e-04 eta: 8:00:24 time: 0.2837 data_time: 0.0226 memory: 8198 grad_norm: 7.4336 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/08/03 21:12:43 - mmengine - INFO - Epoch(train) [203][420/1879] lr: 1.0000e-04 eta: 8:00:19 time: 0.2900 data_time: 0.0259 memory: 8198 grad_norm: 7.2334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0243 loss: 1.0243 2022/08/03 21:12:49 - mmengine - INFO - Epoch(train) [203][440/1879] lr: 1.0000e-04 eta: 8:00:13 time: 0.3014 data_time: 0.0231 memory: 8198 grad_norm: 7.1832 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0043 loss: 1.0043 2022/08/03 21:12:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:12:55 - mmengine - INFO - Epoch(train) [203][460/1879] lr: 1.0000e-04 eta: 8:00:07 time: 0.2820 data_time: 0.0154 memory: 8198 grad_norm: 7.1309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/08/03 21:13:00 - mmengine - INFO - Epoch(train) [203][480/1879] lr: 1.0000e-04 eta: 8:00:02 time: 0.2916 data_time: 0.0199 memory: 8198 grad_norm: 7.0468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/08/03 21:13:06 - mmengine - INFO - Epoch(train) [203][500/1879] lr: 1.0000e-04 eta: 7:59:56 time: 0.2916 data_time: 0.0239 memory: 8198 grad_norm: 7.2219 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9409 loss: 0.9409 2022/08/03 21:13:12 - mmengine - INFO - Epoch(train) [203][520/1879] lr: 1.0000e-04 eta: 7:59:50 time: 0.2842 data_time: 0.0194 memory: 8198 grad_norm: 7.2577 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/08/03 21:13:18 - mmengine - INFO - Epoch(train) [203][540/1879] lr: 1.0000e-04 eta: 7:59:45 time: 0.2848 data_time: 0.0204 memory: 8198 grad_norm: 7.4032 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8527 loss: 0.8527 2022/08/03 21:13:24 - mmengine - INFO - Epoch(train) [203][560/1879] lr: 1.0000e-04 eta: 7:59:39 time: 0.2999 data_time: 0.0214 memory: 8198 grad_norm: 7.1014 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/08/03 21:13:29 - mmengine - INFO - Epoch(train) [203][580/1879] lr: 1.0000e-04 eta: 7:59:33 time: 0.2867 data_time: 0.0236 memory: 8198 grad_norm: 7.1384 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0707 loss: 1.0707 2022/08/03 21:13:35 - mmengine - INFO - Epoch(train) [203][600/1879] lr: 1.0000e-04 eta: 7:59:28 time: 0.2866 data_time: 0.0209 memory: 8198 grad_norm: 7.0416 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7842 loss: 0.7842 2022/08/03 21:13:41 - mmengine - INFO - Epoch(train) [203][620/1879] lr: 1.0000e-04 eta: 7:59:22 time: 0.2859 data_time: 0.0217 memory: 8198 grad_norm: 7.3050 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9535 loss: 0.9535 2022/08/03 21:13:47 - mmengine - INFO - Epoch(train) [203][640/1879] lr: 1.0000e-04 eta: 7:59:16 time: 0.2944 data_time: 0.0257 memory: 8198 grad_norm: 6.9168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8857 loss: 0.8857 2022/08/03 21:13:53 - mmengine - INFO - Epoch(train) [203][660/1879] lr: 1.0000e-04 eta: 7:59:11 time: 0.2880 data_time: 0.0236 memory: 8198 grad_norm: 7.1937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1623 loss: 1.1623 2022/08/03 21:13:58 - mmengine - INFO - Epoch(train) [203][680/1879] lr: 1.0000e-04 eta: 7:59:05 time: 0.2861 data_time: 0.0214 memory: 8198 grad_norm: 7.2302 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9569 loss: 0.9569 2022/08/03 21:14:04 - mmengine - INFO - Epoch(train) [203][700/1879] lr: 1.0000e-04 eta: 7:58:59 time: 0.2937 data_time: 0.0204 memory: 8198 grad_norm: 7.3303 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0398 loss: 1.0398 2022/08/03 21:14:10 - mmengine - INFO - Epoch(train) [203][720/1879] lr: 1.0000e-04 eta: 7:58:54 time: 0.2877 data_time: 0.0259 memory: 8198 grad_norm: 7.1938 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/08/03 21:14:16 - mmengine - INFO - Epoch(train) [203][740/1879] lr: 1.0000e-04 eta: 7:58:48 time: 0.2860 data_time: 0.0181 memory: 8198 grad_norm: 7.1423 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8983 loss: 0.8983 2022/08/03 21:14:22 - mmengine - INFO - Epoch(train) [203][760/1879] lr: 1.0000e-04 eta: 7:58:42 time: 0.2927 data_time: 0.0240 memory: 8198 grad_norm: 7.1505 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0523 loss: 1.0523 2022/08/03 21:14:27 - mmengine - INFO - Epoch(train) [203][780/1879] lr: 1.0000e-04 eta: 7:58:36 time: 0.2843 data_time: 0.0255 memory: 8198 grad_norm: 7.0190 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/08/03 21:14:33 - mmengine - INFO - Epoch(train) [203][800/1879] lr: 1.0000e-04 eta: 7:58:31 time: 0.2852 data_time: 0.0236 memory: 8198 grad_norm: 6.9382 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/08/03 21:14:39 - mmengine - INFO - Epoch(train) [203][820/1879] lr: 1.0000e-04 eta: 7:58:25 time: 0.2872 data_time: 0.0248 memory: 8198 grad_norm: 7.0803 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/03 21:14:45 - mmengine - INFO - Epoch(train) [203][840/1879] lr: 1.0000e-04 eta: 7:58:19 time: 0.2987 data_time: 0.0201 memory: 8198 grad_norm: 7.3563 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9381 loss: 0.9381 2022/08/03 21:14:51 - mmengine - INFO - Epoch(train) [203][860/1879] lr: 1.0000e-04 eta: 7:58:14 time: 0.2835 data_time: 0.0224 memory: 8198 grad_norm: 7.1802 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/08/03 21:14:56 - mmengine - INFO - Epoch(train) [203][880/1879] lr: 1.0000e-04 eta: 7:58:08 time: 0.2843 data_time: 0.0222 memory: 8198 grad_norm: 6.8455 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8998 loss: 0.8998 2022/08/03 21:15:02 - mmengine - INFO - Epoch(train) [203][900/1879] lr: 1.0000e-04 eta: 7:58:02 time: 0.3034 data_time: 0.0240 memory: 8198 grad_norm: 7.1226 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9318 loss: 0.9318 2022/08/03 21:15:08 - mmengine - INFO - Epoch(train) [203][920/1879] lr: 1.0000e-04 eta: 7:57:57 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 7.0460 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0171 loss: 1.0171 2022/08/03 21:15:14 - mmengine - INFO - Epoch(train) [203][940/1879] lr: 1.0000e-04 eta: 7:57:51 time: 0.2848 data_time: 0.0249 memory: 8198 grad_norm: 7.2574 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9348 loss: 0.9348 2022/08/03 21:15:20 - mmengine - INFO - Epoch(train) [203][960/1879] lr: 1.0000e-04 eta: 7:57:45 time: 0.2852 data_time: 0.0209 memory: 8198 grad_norm: 7.4766 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/08/03 21:15:25 - mmengine - INFO - Epoch(train) [203][980/1879] lr: 1.0000e-04 eta: 7:57:40 time: 0.2891 data_time: 0.0206 memory: 8198 grad_norm: 7.1724 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9446 loss: 0.9446 2022/08/03 21:15:31 - mmengine - INFO - Epoch(train) [203][1000/1879] lr: 1.0000e-04 eta: 7:57:34 time: 0.2845 data_time: 0.0277 memory: 8198 grad_norm: 7.3187 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9544 loss: 0.9544 2022/08/03 21:15:37 - mmengine - INFO - Epoch(train) [203][1020/1879] lr: 1.0000e-04 eta: 7:57:28 time: 0.2855 data_time: 0.0200 memory: 8198 grad_norm: 7.2993 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0698 loss: 1.0698 2022/08/03 21:15:43 - mmengine - INFO - Epoch(train) [203][1040/1879] lr: 1.0000e-04 eta: 7:57:23 time: 0.2932 data_time: 0.0245 memory: 8198 grad_norm: 6.8611 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8859 loss: 0.8859 2022/08/03 21:15:49 - mmengine - INFO - Epoch(train) [203][1060/1879] lr: 1.0000e-04 eta: 7:57:17 time: 0.2844 data_time: 0.0212 memory: 8198 grad_norm: 7.1759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9694 loss: 0.9694 2022/08/03 21:15:54 - mmengine - INFO - Epoch(train) [203][1080/1879] lr: 1.0000e-04 eta: 7:57:11 time: 0.2841 data_time: 0.0253 memory: 8198 grad_norm: 7.0476 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9313 loss: 0.9313 2022/08/03 21:16:00 - mmengine - INFO - Epoch(train) [203][1100/1879] lr: 1.0000e-04 eta: 7:57:05 time: 0.2933 data_time: 0.0219 memory: 8198 grad_norm: 7.0064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8678 loss: 0.8678 2022/08/03 21:16:06 - mmengine - INFO - Epoch(train) [203][1120/1879] lr: 1.0000e-04 eta: 7:57:00 time: 0.3027 data_time: 0.0221 memory: 8198 grad_norm: 7.1767 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1008 loss: 1.1008 2022/08/03 21:16:12 - mmengine - INFO - Epoch(train) [203][1140/1879] lr: 1.0000e-04 eta: 7:56:54 time: 0.2854 data_time: 0.0235 memory: 8198 grad_norm: 7.0442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0304 loss: 1.0304 2022/08/03 21:16:18 - mmengine - INFO - Epoch(train) [203][1160/1879] lr: 1.0000e-04 eta: 7:56:48 time: 0.2852 data_time: 0.0213 memory: 8198 grad_norm: 7.2946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9529 loss: 0.9529 2022/08/03 21:16:24 - mmengine - INFO - Epoch(train) [203][1180/1879] lr: 1.0000e-04 eta: 7:56:43 time: 0.3365 data_time: 0.0202 memory: 8198 grad_norm: 7.1647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0388 loss: 1.0388 2022/08/03 21:16:30 - mmengine - INFO - Epoch(train) [203][1200/1879] lr: 1.0000e-04 eta: 7:56:37 time: 0.2838 data_time: 0.0198 memory: 8198 grad_norm: 7.3563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0322 loss: 1.0322 2022/08/03 21:16:36 - mmengine - INFO - Epoch(train) [203][1220/1879] lr: 1.0000e-04 eta: 7:56:32 time: 0.2844 data_time: 0.0254 memory: 8198 grad_norm: 7.1728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0163 loss: 1.0163 2022/08/03 21:16:42 - mmengine - INFO - Epoch(train) [203][1240/1879] lr: 1.0000e-04 eta: 7:56:26 time: 0.2873 data_time: 0.0217 memory: 8198 grad_norm: 7.2068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/08/03 21:16:47 - mmengine - INFO - Epoch(train) [203][1260/1879] lr: 1.0000e-04 eta: 7:56:20 time: 0.2865 data_time: 0.0228 memory: 8198 grad_norm: 7.2686 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0652 loss: 1.0652 2022/08/03 21:16:53 - mmengine - INFO - Epoch(train) [203][1280/1879] lr: 1.0000e-04 eta: 7:56:15 time: 0.2880 data_time: 0.0240 memory: 8198 grad_norm: 7.3433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2039 loss: 1.2039 2022/08/03 21:16:59 - mmengine - INFO - Epoch(train) [203][1300/1879] lr: 1.0000e-04 eta: 7:56:09 time: 0.2858 data_time: 0.0191 memory: 8198 grad_norm: 7.3448 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/08/03 21:17:05 - mmengine - INFO - Epoch(train) [203][1320/1879] lr: 1.0000e-04 eta: 7:56:03 time: 0.2876 data_time: 0.0196 memory: 8198 grad_norm: 7.0941 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/08/03 21:17:11 - mmengine - INFO - Epoch(train) [203][1340/1879] lr: 1.0000e-04 eta: 7:55:57 time: 0.2885 data_time: 0.0237 memory: 8198 grad_norm: 7.0961 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8626 loss: 0.8626 2022/08/03 21:17:16 - mmengine - INFO - Epoch(train) [203][1360/1879] lr: 1.0000e-04 eta: 7:55:52 time: 0.2955 data_time: 0.0230 memory: 8198 grad_norm: 7.1203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9855 loss: 0.9855 2022/08/03 21:17:22 - mmengine - INFO - Epoch(train) [203][1380/1879] lr: 1.0000e-04 eta: 7:55:46 time: 0.2917 data_time: 0.0221 memory: 8198 grad_norm: 7.0602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0874 loss: 1.0874 2022/08/03 21:17:28 - mmengine - INFO - Epoch(train) [203][1400/1879] lr: 1.0000e-04 eta: 7:55:40 time: 0.2834 data_time: 0.0201 memory: 8198 grad_norm: 7.3757 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9618 loss: 0.9618 2022/08/03 21:17:34 - mmengine - INFO - Epoch(train) [203][1420/1879] lr: 1.0000e-04 eta: 7:55:35 time: 0.2973 data_time: 0.0221 memory: 8198 grad_norm: 7.2009 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9026 loss: 0.9026 2022/08/03 21:17:40 - mmengine - INFO - Epoch(train) [203][1440/1879] lr: 1.0000e-04 eta: 7:55:29 time: 0.2846 data_time: 0.0178 memory: 8198 grad_norm: 7.2713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/08/03 21:17:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:17:46 - mmengine - INFO - Epoch(train) [203][1460/1879] lr: 1.0000e-04 eta: 7:55:23 time: 0.2887 data_time: 0.0240 memory: 8198 grad_norm: 7.2998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7951 loss: 0.7951 2022/08/03 21:17:51 - mmengine - INFO - Epoch(train) [203][1480/1879] lr: 1.0000e-04 eta: 7:55:18 time: 0.2829 data_time: 0.0197 memory: 8198 grad_norm: 7.2085 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8498 loss: 0.8498 2022/08/03 21:17:57 - mmengine - INFO - Epoch(train) [203][1500/1879] lr: 1.0000e-04 eta: 7:55:12 time: 0.2920 data_time: 0.0250 memory: 8198 grad_norm: 7.1619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0201 loss: 1.0201 2022/08/03 21:18:03 - mmengine - INFO - Epoch(train) [203][1520/1879] lr: 1.0000e-04 eta: 7:55:06 time: 0.2902 data_time: 0.0246 memory: 8198 grad_norm: 7.0659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0598 loss: 1.0598 2022/08/03 21:18:09 - mmengine - INFO - Epoch(train) [203][1540/1879] lr: 1.0000e-04 eta: 7:55:01 time: 0.2851 data_time: 0.0176 memory: 8198 grad_norm: 7.1734 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9443 loss: 0.9443 2022/08/03 21:18:14 - mmengine - INFO - Epoch(train) [203][1560/1879] lr: 1.0000e-04 eta: 7:54:55 time: 0.2868 data_time: 0.0199 memory: 8198 grad_norm: 7.1524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8291 loss: 0.8291 2022/08/03 21:18:20 - mmengine - INFO - Epoch(train) [203][1580/1879] lr: 1.0000e-04 eta: 7:54:49 time: 0.2854 data_time: 0.0199 memory: 8198 grad_norm: 7.1119 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8417 loss: 0.8417 2022/08/03 21:18:26 - mmengine - INFO - Epoch(train) [203][1600/1879] lr: 1.0000e-04 eta: 7:54:44 time: 0.2900 data_time: 0.0228 memory: 8198 grad_norm: 7.0871 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9046 loss: 0.9046 2022/08/03 21:18:32 - mmengine - INFO - Epoch(train) [203][1620/1879] lr: 1.0000e-04 eta: 7:54:38 time: 0.2837 data_time: 0.0220 memory: 8198 grad_norm: 7.1475 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0171 loss: 1.0171 2022/08/03 21:18:38 - mmengine - INFO - Epoch(train) [203][1640/1879] lr: 1.0000e-04 eta: 7:54:32 time: 0.2915 data_time: 0.0221 memory: 8198 grad_norm: 7.3110 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/03 21:18:43 - mmengine - INFO - Epoch(train) [203][1660/1879] lr: 1.0000e-04 eta: 7:54:26 time: 0.2898 data_time: 0.0233 memory: 8198 grad_norm: 7.1444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1656 loss: 1.1656 2022/08/03 21:18:49 - mmengine - INFO - Epoch(train) [203][1680/1879] lr: 1.0000e-04 eta: 7:54:21 time: 0.2857 data_time: 0.0212 memory: 8198 grad_norm: 7.4440 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9425 loss: 0.9425 2022/08/03 21:18:55 - mmengine - INFO - Epoch(train) [203][1700/1879] lr: 1.0000e-04 eta: 7:54:15 time: 0.2894 data_time: 0.0237 memory: 8198 grad_norm: 7.2340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/08/03 21:19:01 - mmengine - INFO - Epoch(train) [203][1720/1879] lr: 1.0000e-04 eta: 7:54:09 time: 0.2911 data_time: 0.0188 memory: 8198 grad_norm: 7.3177 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0561 loss: 1.0561 2022/08/03 21:19:07 - mmengine - INFO - Epoch(train) [203][1740/1879] lr: 1.0000e-04 eta: 7:54:04 time: 0.2889 data_time: 0.0208 memory: 8198 grad_norm: 7.3974 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0649 loss: 1.0649 2022/08/03 21:19:12 - mmengine - INFO - Epoch(train) [203][1760/1879] lr: 1.0000e-04 eta: 7:53:58 time: 0.2885 data_time: 0.0196 memory: 8198 grad_norm: 7.1408 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0405 loss: 1.0405 2022/08/03 21:19:18 - mmengine - INFO - Epoch(train) [203][1780/1879] lr: 1.0000e-04 eta: 7:53:52 time: 0.2861 data_time: 0.0219 memory: 8198 grad_norm: 7.2518 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0005 loss: 1.0005 2022/08/03 21:19:24 - mmengine - INFO - Epoch(train) [203][1800/1879] lr: 1.0000e-04 eta: 7:53:47 time: 0.2875 data_time: 0.0225 memory: 8198 grad_norm: 7.4232 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9201 loss: 0.9201 2022/08/03 21:19:30 - mmengine - INFO - Epoch(train) [203][1820/1879] lr: 1.0000e-04 eta: 7:53:41 time: 0.2855 data_time: 0.0219 memory: 8198 grad_norm: 7.1342 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0837 loss: 1.0837 2022/08/03 21:19:35 - mmengine - INFO - Epoch(train) [203][1840/1879] lr: 1.0000e-04 eta: 7:53:35 time: 0.2850 data_time: 0.0258 memory: 8198 grad_norm: 7.3049 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/03 21:19:41 - mmengine - INFO - Epoch(train) [203][1860/1879] lr: 1.0000e-04 eta: 7:53:30 time: 0.2833 data_time: 0.0182 memory: 8198 grad_norm: 7.2928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0962 loss: 1.0962 2022/08/03 21:19:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:19:46 - mmengine - INFO - Epoch(train) [203][1879/1879] lr: 1.0000e-04 eta: 7:53:30 time: 0.2613 data_time: 0.0164 memory: 8198 grad_norm: 7.4761 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9388 loss: 0.9388 2022/08/03 21:19:54 - mmengine - INFO - Epoch(train) [204][20/1879] lr: 1.0000e-04 eta: 7:53:18 time: 0.3977 data_time: 0.1109 memory: 8198 grad_norm: 6.9917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9910 loss: 0.9910 2022/08/03 21:20:00 - mmengine - INFO - Epoch(train) [204][40/1879] lr: 1.0000e-04 eta: 7:53:12 time: 0.2897 data_time: 0.0216 memory: 8198 grad_norm: 7.4861 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9204 loss: 0.9204 2022/08/03 21:20:06 - mmengine - INFO - Epoch(train) [204][60/1879] lr: 1.0000e-04 eta: 7:53:06 time: 0.2954 data_time: 0.0253 memory: 8198 grad_norm: 7.0893 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8256 loss: 0.8256 2022/08/03 21:20:12 - mmengine - INFO - Epoch(train) [204][80/1879] lr: 1.0000e-04 eta: 7:53:01 time: 0.2875 data_time: 0.0211 memory: 8198 grad_norm: 7.1542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/08/03 21:20:17 - mmengine - INFO - Epoch(train) [204][100/1879] lr: 1.0000e-04 eta: 7:52:55 time: 0.2892 data_time: 0.0205 memory: 8198 grad_norm: 7.2237 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0361 loss: 1.0361 2022/08/03 21:20:23 - mmengine - INFO - Epoch(train) [204][120/1879] lr: 1.0000e-04 eta: 7:52:49 time: 0.2869 data_time: 0.0192 memory: 8198 grad_norm: 7.2833 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1073 loss: 1.1073 2022/08/03 21:20:29 - mmengine - INFO - Epoch(train) [204][140/1879] lr: 1.0000e-04 eta: 7:52:43 time: 0.2833 data_time: 0.0214 memory: 8198 grad_norm: 7.0210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9799 loss: 0.9799 2022/08/03 21:20:35 - mmengine - INFO - Epoch(train) [204][160/1879] lr: 1.0000e-04 eta: 7:52:38 time: 0.2854 data_time: 0.0180 memory: 8198 grad_norm: 7.2282 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9362 loss: 0.9362 2022/08/03 21:20:40 - mmengine - INFO - Epoch(train) [204][180/1879] lr: 1.0000e-04 eta: 7:52:32 time: 0.2861 data_time: 0.0244 memory: 8198 grad_norm: 7.0944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9778 loss: 0.9778 2022/08/03 21:20:46 - mmengine - INFO - Epoch(train) [204][200/1879] lr: 1.0000e-04 eta: 7:52:26 time: 0.2894 data_time: 0.0252 memory: 8198 grad_norm: 7.2227 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0683 loss: 1.0683 2022/08/03 21:20:52 - mmengine - INFO - Epoch(train) [204][220/1879] lr: 1.0000e-04 eta: 7:52:21 time: 0.2844 data_time: 0.0210 memory: 8198 grad_norm: 7.2840 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9563 loss: 0.9563 2022/08/03 21:20:58 - mmengine - INFO - Epoch(train) [204][240/1879] lr: 1.0000e-04 eta: 7:52:15 time: 0.2865 data_time: 0.0170 memory: 8198 grad_norm: 7.1397 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8908 loss: 0.8908 2022/08/03 21:21:03 - mmengine - INFO - Epoch(train) [204][260/1879] lr: 1.0000e-04 eta: 7:52:09 time: 0.2908 data_time: 0.0313 memory: 8198 grad_norm: 7.2451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0246 loss: 1.0246 2022/08/03 21:21:09 - mmengine - INFO - Epoch(train) [204][280/1879] lr: 1.0000e-04 eta: 7:52:04 time: 0.2943 data_time: 0.0222 memory: 8198 grad_norm: 7.1507 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0633 loss: 1.0633 2022/08/03 21:21:15 - mmengine - INFO - Epoch(train) [204][300/1879] lr: 1.0000e-04 eta: 7:51:58 time: 0.2855 data_time: 0.0249 memory: 8198 grad_norm: 7.0454 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9071 loss: 0.9071 2022/08/03 21:21:21 - mmengine - INFO - Epoch(train) [204][320/1879] lr: 1.0000e-04 eta: 7:51:52 time: 0.2838 data_time: 0.0165 memory: 8198 grad_norm: 7.4030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9611 loss: 0.9611 2022/08/03 21:21:27 - mmengine - INFO - Epoch(train) [204][340/1879] lr: 1.0000e-04 eta: 7:51:47 time: 0.2899 data_time: 0.0255 memory: 8198 grad_norm: 7.3647 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0005 loss: 1.0005 2022/08/03 21:21:32 - mmengine - INFO - Epoch(train) [204][360/1879] lr: 1.0000e-04 eta: 7:51:41 time: 0.2881 data_time: 0.0217 memory: 8198 grad_norm: 7.4313 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9454 loss: 0.9454 2022/08/03 21:21:38 - mmengine - INFO - Epoch(train) [204][380/1879] lr: 1.0000e-04 eta: 7:51:35 time: 0.2875 data_time: 0.0237 memory: 8198 grad_norm: 7.2117 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0624 loss: 1.0624 2022/08/03 21:21:44 - mmengine - INFO - Epoch(train) [204][400/1879] lr: 1.0000e-04 eta: 7:51:29 time: 0.2871 data_time: 0.0200 memory: 8198 grad_norm: 7.3313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9070 loss: 0.9070 2022/08/03 21:21:50 - mmengine - INFO - Epoch(train) [204][420/1879] lr: 1.0000e-04 eta: 7:51:24 time: 0.2901 data_time: 0.0225 memory: 8198 grad_norm: 7.5521 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0712 loss: 1.0712 2022/08/03 21:21:56 - mmengine - INFO - Epoch(train) [204][440/1879] lr: 1.0000e-04 eta: 7:51:18 time: 0.2859 data_time: 0.0213 memory: 8198 grad_norm: 7.3649 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/08/03 21:22:01 - mmengine - INFO - Epoch(train) [204][460/1879] lr: 1.0000e-04 eta: 7:51:12 time: 0.2852 data_time: 0.0197 memory: 8198 grad_norm: 6.9476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7541 loss: 0.7541 2022/08/03 21:22:07 - mmengine - INFO - Epoch(train) [204][480/1879] lr: 1.0000e-04 eta: 7:51:07 time: 0.2873 data_time: 0.0213 memory: 8198 grad_norm: 7.1437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9186 loss: 0.9186 2022/08/03 21:22:13 - mmengine - INFO - Epoch(train) [204][500/1879] lr: 1.0000e-04 eta: 7:51:01 time: 0.2870 data_time: 0.0232 memory: 8198 grad_norm: 7.2861 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9907 loss: 0.9907 2022/08/03 21:22:19 - mmengine - INFO - Epoch(train) [204][520/1879] lr: 1.0000e-04 eta: 7:50:55 time: 0.2868 data_time: 0.0205 memory: 8198 grad_norm: 7.3623 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0433 loss: 1.0433 2022/08/03 21:22:24 - mmengine - INFO - Epoch(train) [204][540/1879] lr: 1.0000e-04 eta: 7:50:50 time: 0.2846 data_time: 0.0197 memory: 8198 grad_norm: 7.0971 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9294 loss: 0.9294 2022/08/03 21:22:30 - mmengine - INFO - Epoch(train) [204][560/1879] lr: 1.0000e-04 eta: 7:50:44 time: 0.2871 data_time: 0.0254 memory: 8198 grad_norm: 7.0697 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9958 loss: 0.9958 2022/08/03 21:22:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:22:36 - mmengine - INFO - Epoch(train) [204][580/1879] lr: 1.0000e-04 eta: 7:50:38 time: 0.2846 data_time: 0.0257 memory: 8198 grad_norm: 7.0938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0351 loss: 1.0351 2022/08/03 21:22:42 - mmengine - INFO - Epoch(train) [204][600/1879] lr: 1.0000e-04 eta: 7:50:32 time: 0.2876 data_time: 0.0204 memory: 8198 grad_norm: 7.1365 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8719 loss: 0.8719 2022/08/03 21:22:47 - mmengine - INFO - Epoch(train) [204][620/1879] lr: 1.0000e-04 eta: 7:50:27 time: 0.2903 data_time: 0.0237 memory: 8198 grad_norm: 7.3640 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9268 loss: 0.9268 2022/08/03 21:22:53 - mmengine - INFO - Epoch(train) [204][640/1879] lr: 1.0000e-04 eta: 7:50:21 time: 0.2889 data_time: 0.0270 memory: 8198 grad_norm: 7.0445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9489 loss: 0.9489 2022/08/03 21:22:59 - mmengine - INFO - Epoch(train) [204][660/1879] lr: 1.0000e-04 eta: 7:50:15 time: 0.2870 data_time: 0.0201 memory: 8198 grad_norm: 7.1763 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9751 loss: 0.9751 2022/08/03 21:23:05 - mmengine - INFO - Epoch(train) [204][680/1879] lr: 1.0000e-04 eta: 7:50:10 time: 0.2852 data_time: 0.0243 memory: 8198 grad_norm: 7.1632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8525 loss: 0.8525 2022/08/03 21:23:11 - mmengine - INFO - Epoch(train) [204][700/1879] lr: 1.0000e-04 eta: 7:50:04 time: 0.2873 data_time: 0.0206 memory: 8198 grad_norm: 7.1458 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9981 loss: 0.9981 2022/08/03 21:23:16 - mmengine - INFO - Epoch(train) [204][720/1879] lr: 1.0000e-04 eta: 7:49:58 time: 0.2935 data_time: 0.0244 memory: 8198 grad_norm: 7.3531 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9793 loss: 0.9793 2022/08/03 21:23:22 - mmengine - INFO - Epoch(train) [204][740/1879] lr: 1.0000e-04 eta: 7:49:53 time: 0.2892 data_time: 0.0251 memory: 8198 grad_norm: 7.2516 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/08/03 21:23:28 - mmengine - INFO - Epoch(train) [204][760/1879] lr: 1.0000e-04 eta: 7:49:47 time: 0.2886 data_time: 0.0216 memory: 8198 grad_norm: 7.1203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8791 loss: 0.8791 2022/08/03 21:23:34 - mmengine - INFO - Epoch(train) [204][780/1879] lr: 1.0000e-04 eta: 7:49:41 time: 0.2858 data_time: 0.0226 memory: 8198 grad_norm: 7.2553 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9734 loss: 0.9734 2022/08/03 21:23:40 - mmengine - INFO - Epoch(train) [204][800/1879] lr: 1.0000e-04 eta: 7:49:36 time: 0.2869 data_time: 0.0256 memory: 8198 grad_norm: 7.1670 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9113 loss: 0.9113 2022/08/03 21:23:46 - mmengine - INFO - Epoch(train) [204][820/1879] lr: 1.0000e-04 eta: 7:49:30 time: 0.2985 data_time: 0.0220 memory: 8198 grad_norm: 7.1603 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9388 loss: 0.9388 2022/08/03 21:23:51 - mmengine - INFO - Epoch(train) [204][840/1879] lr: 1.0000e-04 eta: 7:49:24 time: 0.2851 data_time: 0.0233 memory: 8198 grad_norm: 7.2268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9435 loss: 0.9435 2022/08/03 21:23:57 - mmengine - INFO - Epoch(train) [204][860/1879] lr: 1.0000e-04 eta: 7:49:19 time: 0.2836 data_time: 0.0221 memory: 8198 grad_norm: 7.1738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/08/03 21:24:03 - mmengine - INFO - Epoch(train) [204][880/1879] lr: 1.0000e-04 eta: 7:49:13 time: 0.2939 data_time: 0.0256 memory: 8198 grad_norm: 7.4216 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0270 loss: 1.0270 2022/08/03 21:24:09 - mmengine - INFO - Epoch(train) [204][900/1879] lr: 1.0000e-04 eta: 7:49:07 time: 0.2850 data_time: 0.0255 memory: 8198 grad_norm: 7.0424 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0491 loss: 1.0491 2022/08/03 21:24:15 - mmengine - INFO - Epoch(train) [204][920/1879] lr: 1.0000e-04 eta: 7:49:02 time: 0.2936 data_time: 0.0296 memory: 8198 grad_norm: 7.1709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9867 loss: 0.9867 2022/08/03 21:24:20 - mmengine - INFO - Epoch(train) [204][940/1879] lr: 1.0000e-04 eta: 7:48:56 time: 0.2846 data_time: 0.0237 memory: 8198 grad_norm: 7.2002 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9806 loss: 0.9806 2022/08/03 21:24:26 - mmengine - INFO - Epoch(train) [204][960/1879] lr: 1.0000e-04 eta: 7:48:50 time: 0.2835 data_time: 0.0229 memory: 8198 grad_norm: 6.9698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/08/03 21:24:32 - mmengine - INFO - Epoch(train) [204][980/1879] lr: 1.0000e-04 eta: 7:48:44 time: 0.2866 data_time: 0.0203 memory: 8198 grad_norm: 7.4253 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0485 loss: 1.0485 2022/08/03 21:24:38 - mmengine - INFO - Epoch(train) [204][1000/1879] lr: 1.0000e-04 eta: 7:48:39 time: 0.2886 data_time: 0.0185 memory: 8198 grad_norm: 7.1525 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8002 loss: 0.8002 2022/08/03 21:24:43 - mmengine - INFO - Epoch(train) [204][1020/1879] lr: 1.0000e-04 eta: 7:48:33 time: 0.2871 data_time: 0.0237 memory: 8198 grad_norm: 7.1590 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9782 loss: 0.9782 2022/08/03 21:24:49 - mmengine - INFO - Epoch(train) [204][1040/1879] lr: 1.0000e-04 eta: 7:48:27 time: 0.2833 data_time: 0.0207 memory: 8198 grad_norm: 7.1721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0214 loss: 1.0214 2022/08/03 21:24:55 - mmengine - INFO - Epoch(train) [204][1060/1879] lr: 1.0000e-04 eta: 7:48:22 time: 0.2969 data_time: 0.0249 memory: 8198 grad_norm: 7.2686 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0308 loss: 1.0308 2022/08/03 21:25:01 - mmengine - INFO - Epoch(train) [204][1080/1879] lr: 1.0000e-04 eta: 7:48:16 time: 0.2822 data_time: 0.0216 memory: 8198 grad_norm: 7.4678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0685 loss: 1.0685 2022/08/03 21:25:06 - mmengine - INFO - Epoch(train) [204][1100/1879] lr: 1.0000e-04 eta: 7:48:10 time: 0.2857 data_time: 0.0233 memory: 8198 grad_norm: 7.2487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/08/03 21:25:12 - mmengine - INFO - Epoch(train) [204][1120/1879] lr: 1.0000e-04 eta: 7:48:05 time: 0.2867 data_time: 0.0263 memory: 8198 grad_norm: 7.1537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9590 loss: 0.9590 2022/08/03 21:25:18 - mmengine - INFO - Epoch(train) [204][1140/1879] lr: 1.0000e-04 eta: 7:47:59 time: 0.2927 data_time: 0.0239 memory: 8198 grad_norm: 7.0899 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7542 loss: 0.7542 2022/08/03 21:25:24 - mmengine - INFO - Epoch(train) [204][1160/1879] lr: 1.0000e-04 eta: 7:47:53 time: 0.2843 data_time: 0.0225 memory: 8198 grad_norm: 7.3670 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8047 loss: 0.8047 2022/08/03 21:25:29 - mmengine - INFO - Epoch(train) [204][1180/1879] lr: 1.0000e-04 eta: 7:47:47 time: 0.2854 data_time: 0.0245 memory: 8198 grad_norm: 7.2185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/08/03 21:25:35 - mmengine - INFO - Epoch(train) [204][1200/1879] lr: 1.0000e-04 eta: 7:47:42 time: 0.2996 data_time: 0.0212 memory: 8198 grad_norm: 7.3728 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/03 21:25:41 - mmengine - INFO - Epoch(train) [204][1220/1879] lr: 1.0000e-04 eta: 7:47:36 time: 0.2835 data_time: 0.0237 memory: 8198 grad_norm: 7.2289 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8525 loss: 0.8525 2022/08/03 21:25:47 - mmengine - INFO - Epoch(train) [204][1240/1879] lr: 1.0000e-04 eta: 7:47:30 time: 0.2852 data_time: 0.0214 memory: 8198 grad_norm: 7.1413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/08/03 21:25:53 - mmengine - INFO - Epoch(train) [204][1260/1879] lr: 1.0000e-04 eta: 7:47:25 time: 0.3100 data_time: 0.0232 memory: 8198 grad_norm: 7.1855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9563 loss: 0.9563 2022/08/03 21:25:59 - mmengine - INFO - Epoch(train) [204][1280/1879] lr: 1.0000e-04 eta: 7:47:19 time: 0.2815 data_time: 0.0217 memory: 8198 grad_norm: 7.0891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7600 loss: 0.7600 2022/08/03 21:26:04 - mmengine - INFO - Epoch(train) [204][1300/1879] lr: 1.0000e-04 eta: 7:47:13 time: 0.2839 data_time: 0.0218 memory: 8198 grad_norm: 7.2186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0538 loss: 1.0538 2022/08/03 21:26:10 - mmengine - INFO - Epoch(train) [204][1320/1879] lr: 1.0000e-04 eta: 7:47:08 time: 0.2849 data_time: 0.0153 memory: 8198 grad_norm: 7.2486 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0111 loss: 1.0111 2022/08/03 21:26:16 - mmengine - INFO - Epoch(train) [204][1340/1879] lr: 1.0000e-04 eta: 7:47:02 time: 0.2918 data_time: 0.0290 memory: 8198 grad_norm: 7.3039 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/08/03 21:26:22 - mmengine - INFO - Epoch(train) [204][1360/1879] lr: 1.0000e-04 eta: 7:46:56 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 7.1589 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9963 loss: 0.9963 2022/08/03 21:26:28 - mmengine - INFO - Epoch(train) [204][1380/1879] lr: 1.0000e-04 eta: 7:46:51 time: 0.3027 data_time: 0.0236 memory: 8198 grad_norm: 7.0998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/08/03 21:26:34 - mmengine - INFO - Epoch(train) [204][1400/1879] lr: 1.0000e-04 eta: 7:46:45 time: 0.2882 data_time: 0.0251 memory: 8198 grad_norm: 7.4215 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0154 loss: 1.0154 2022/08/03 21:26:39 - mmengine - INFO - Epoch(train) [204][1420/1879] lr: 1.0000e-04 eta: 7:46:39 time: 0.2899 data_time: 0.0267 memory: 8198 grad_norm: 7.0198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9030 loss: 0.9030 2022/08/03 21:26:46 - mmengine - INFO - Epoch(train) [204][1440/1879] lr: 1.0000e-04 eta: 7:46:34 time: 0.2997 data_time: 0.0229 memory: 8198 grad_norm: 7.4786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0037 loss: 1.0037 2022/08/03 21:26:51 - mmengine - INFO - Epoch(train) [204][1460/1879] lr: 1.0000e-04 eta: 7:46:28 time: 0.2875 data_time: 0.0196 memory: 8198 grad_norm: 6.9793 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8712 loss: 0.8712 2022/08/03 21:26:57 - mmengine - INFO - Epoch(train) [204][1480/1879] lr: 1.0000e-04 eta: 7:46:22 time: 0.2906 data_time: 0.0204 memory: 8198 grad_norm: 7.0100 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9455 loss: 0.9455 2022/08/03 21:27:03 - mmengine - INFO - Epoch(train) [204][1500/1879] lr: 1.0000e-04 eta: 7:46:17 time: 0.3072 data_time: 0.0221 memory: 8198 grad_norm: 7.1422 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7827 loss: 0.7827 2022/08/03 21:27:09 - mmengine - INFO - Epoch(train) [204][1520/1879] lr: 1.0000e-04 eta: 7:46:11 time: 0.2798 data_time: 0.0188 memory: 8198 grad_norm: 7.3352 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0424 loss: 1.0424 2022/08/03 21:27:15 - mmengine - INFO - Epoch(train) [204][1540/1879] lr: 1.0000e-04 eta: 7:46:05 time: 0.2843 data_time: 0.0237 memory: 8198 grad_norm: 7.3234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9337 loss: 0.9337 2022/08/03 21:27:20 - mmengine - INFO - Epoch(train) [204][1560/1879] lr: 1.0000e-04 eta: 7:46:00 time: 0.2901 data_time: 0.0293 memory: 8198 grad_norm: 7.2674 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0695 loss: 1.0695 2022/08/03 21:27:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:27:26 - mmengine - INFO - Epoch(train) [204][1580/1879] lr: 1.0000e-04 eta: 7:45:54 time: 0.2940 data_time: 0.0191 memory: 8198 grad_norm: 7.1070 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8996 loss: 0.8996 2022/08/03 21:27:32 - mmengine - INFO - Epoch(train) [204][1600/1879] lr: 1.0000e-04 eta: 7:45:48 time: 0.2811 data_time: 0.0173 memory: 8198 grad_norm: 7.1779 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0739 loss: 1.0739 2022/08/03 21:27:38 - mmengine - INFO - Epoch(train) [204][1620/1879] lr: 1.0000e-04 eta: 7:45:43 time: 0.2905 data_time: 0.0236 memory: 8198 grad_norm: 7.3645 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/03 21:27:44 - mmengine - INFO - Epoch(train) [204][1640/1879] lr: 1.0000e-04 eta: 7:45:37 time: 0.3046 data_time: 0.0270 memory: 8198 grad_norm: 6.9217 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9133 loss: 0.9133 2022/08/03 21:27:50 - mmengine - INFO - Epoch(train) [204][1660/1879] lr: 1.0000e-04 eta: 7:45:31 time: 0.2801 data_time: 0.0246 memory: 8198 grad_norm: 7.1525 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9917 loss: 0.9917 2022/08/03 21:27:55 - mmengine - INFO - Epoch(train) [204][1680/1879] lr: 1.0000e-04 eta: 7:45:26 time: 0.2895 data_time: 0.0229 memory: 8198 grad_norm: 7.3415 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0182 loss: 1.0182 2022/08/03 21:28:01 - mmengine - INFO - Epoch(train) [204][1700/1879] lr: 1.0000e-04 eta: 7:45:20 time: 0.2896 data_time: 0.0234 memory: 8198 grad_norm: 7.2613 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8261 loss: 0.8261 2022/08/03 21:28:07 - mmengine - INFO - Epoch(train) [204][1720/1879] lr: 1.0000e-04 eta: 7:45:14 time: 0.2894 data_time: 0.0199 memory: 8198 grad_norm: 7.4598 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0278 loss: 1.0278 2022/08/03 21:28:13 - mmengine - INFO - Epoch(train) [204][1740/1879] lr: 1.0000e-04 eta: 7:45:08 time: 0.2873 data_time: 0.0203 memory: 8198 grad_norm: 7.1597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/08/03 21:28:19 - mmengine - INFO - Epoch(train) [204][1760/1879] lr: 1.0000e-04 eta: 7:45:03 time: 0.2878 data_time: 0.0258 memory: 8198 grad_norm: 7.1156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/08/03 21:28:25 - mmengine - INFO - Epoch(train) [204][1780/1879] lr: 1.0000e-04 eta: 7:44:57 time: 0.2970 data_time: 0.0176 memory: 8198 grad_norm: 7.0993 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9464 loss: 0.9464 2022/08/03 21:28:30 - mmengine - INFO - Epoch(train) [204][1800/1879] lr: 1.0000e-04 eta: 7:44:51 time: 0.2833 data_time: 0.0210 memory: 8198 grad_norm: 7.1443 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9585 loss: 0.9585 2022/08/03 21:28:36 - mmengine - INFO - Epoch(train) [204][1820/1879] lr: 1.0000e-04 eta: 7:44:46 time: 0.2860 data_time: 0.0253 memory: 8198 grad_norm: 7.4131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9056 loss: 0.9056 2022/08/03 21:28:42 - mmengine - INFO - Epoch(train) [204][1840/1879] lr: 1.0000e-04 eta: 7:44:40 time: 0.2880 data_time: 0.0249 memory: 8198 grad_norm: 7.3355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0170 loss: 1.0170 2022/08/03 21:28:48 - mmengine - INFO - Epoch(train) [204][1860/1879] lr: 1.0000e-04 eta: 7:44:34 time: 0.2871 data_time: 0.0203 memory: 8198 grad_norm: 7.0132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0288 loss: 1.0288 2022/08/03 21:28:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:28:53 - mmengine - INFO - Epoch(train) [204][1879/1879] lr: 1.0000e-04 eta: 7:44:34 time: 0.2593 data_time: 0.0141 memory: 8198 grad_norm: 7.1103 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8867 loss: 0.8867 2022/08/03 21:28:53 - mmengine - INFO - Saving checkpoint at 204 epochs 2022/08/03 21:29:03 - mmengine - INFO - Epoch(train) [205][20/1879] lr: 1.0000e-04 eta: 7:44:22 time: 0.3799 data_time: 0.1147 memory: 8198 grad_norm: 7.0449 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1290 loss: 1.1290 2022/08/03 21:29:09 - mmengine - INFO - Epoch(train) [205][40/1879] lr: 1.0000e-04 eta: 7:44:17 time: 0.2905 data_time: 0.0240 memory: 8198 grad_norm: 7.0619 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0400 loss: 1.0400 2022/08/03 21:29:15 - mmengine - INFO - Epoch(train) [205][60/1879] lr: 1.0000e-04 eta: 7:44:11 time: 0.2963 data_time: 0.0248 memory: 8198 grad_norm: 7.2368 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/03 21:29:21 - mmengine - INFO - Epoch(train) [205][80/1879] lr: 1.0000e-04 eta: 7:44:05 time: 0.2839 data_time: 0.0228 memory: 8198 grad_norm: 7.2591 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9650 loss: 0.9650 2022/08/03 21:29:27 - mmengine - INFO - Epoch(train) [205][100/1879] lr: 1.0000e-04 eta: 7:44:00 time: 0.2853 data_time: 0.0209 memory: 8198 grad_norm: 7.0820 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9043 loss: 0.9043 2022/08/03 21:29:32 - mmengine - INFO - Epoch(train) [205][120/1879] lr: 1.0000e-04 eta: 7:43:54 time: 0.2889 data_time: 0.0253 memory: 8198 grad_norm: 6.9869 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/03 21:29:38 - mmengine - INFO - Epoch(train) [205][140/1879] lr: 1.0000e-04 eta: 7:43:48 time: 0.3017 data_time: 0.0247 memory: 8198 grad_norm: 6.9702 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/08/03 21:29:44 - mmengine - INFO - Epoch(train) [205][160/1879] lr: 1.0000e-04 eta: 7:43:43 time: 0.2893 data_time: 0.0259 memory: 8198 grad_norm: 6.9837 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8888 loss: 0.8888 2022/08/03 21:29:50 - mmengine - INFO - Epoch(train) [205][180/1879] lr: 1.0000e-04 eta: 7:43:37 time: 0.2930 data_time: 0.0296 memory: 8198 grad_norm: 7.2445 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1581 loss: 1.1581 2022/08/03 21:29:56 - mmengine - INFO - Epoch(train) [205][200/1879] lr: 1.0000e-04 eta: 7:43:31 time: 0.3041 data_time: 0.0271 memory: 8198 grad_norm: 7.1184 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8191 loss: 0.8191 2022/08/03 21:30:02 - mmengine - INFO - Epoch(train) [205][220/1879] lr: 1.0000e-04 eta: 7:43:26 time: 0.2850 data_time: 0.0176 memory: 8198 grad_norm: 7.0567 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9043 loss: 0.9043 2022/08/03 21:30:08 - mmengine - INFO - Epoch(train) [205][240/1879] lr: 1.0000e-04 eta: 7:43:20 time: 0.2832 data_time: 0.0208 memory: 8198 grad_norm: 7.1507 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/08/03 21:30:14 - mmengine - INFO - Epoch(train) [205][260/1879] lr: 1.0000e-04 eta: 7:43:14 time: 0.2911 data_time: 0.0207 memory: 8198 grad_norm: 7.1283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0030 loss: 1.0030 2022/08/03 21:30:19 - mmengine - INFO - Epoch(train) [205][280/1879] lr: 1.0000e-04 eta: 7:43:09 time: 0.2859 data_time: 0.0197 memory: 8198 grad_norm: 7.0905 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8940 loss: 0.8940 2022/08/03 21:30:25 - mmengine - INFO - Epoch(train) [205][300/1879] lr: 1.0000e-04 eta: 7:43:03 time: 0.2864 data_time: 0.0233 memory: 8198 grad_norm: 7.1107 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9201 loss: 0.9201 2022/08/03 21:30:31 - mmengine - INFO - Epoch(train) [205][320/1879] lr: 1.0000e-04 eta: 7:42:57 time: 0.2828 data_time: 0.0217 memory: 8198 grad_norm: 6.9327 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/03 21:30:37 - mmengine - INFO - Epoch(train) [205][340/1879] lr: 1.0000e-04 eta: 7:42:52 time: 0.3078 data_time: 0.0258 memory: 8198 grad_norm: 7.1803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/08/03 21:30:43 - mmengine - INFO - Epoch(train) [205][360/1879] lr: 1.0000e-04 eta: 7:42:46 time: 0.2845 data_time: 0.0227 memory: 8198 grad_norm: 7.1855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9938 loss: 0.9938 2022/08/03 21:30:48 - mmengine - INFO - Epoch(train) [205][380/1879] lr: 1.0000e-04 eta: 7:42:40 time: 0.2856 data_time: 0.0217 memory: 8198 grad_norm: 7.2049 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/08/03 21:30:54 - mmengine - INFO - Epoch(train) [205][400/1879] lr: 1.0000e-04 eta: 7:42:34 time: 0.2983 data_time: 0.0285 memory: 8198 grad_norm: 7.2037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/08/03 21:31:00 - mmengine - INFO - Epoch(train) [205][420/1879] lr: 1.0000e-04 eta: 7:42:29 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 7.0926 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/08/03 21:31:06 - mmengine - INFO - Epoch(train) [205][440/1879] lr: 1.0000e-04 eta: 7:42:23 time: 0.2849 data_time: 0.0261 memory: 8198 grad_norm: 7.5860 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1909 loss: 1.1909 2022/08/03 21:31:12 - mmengine - INFO - Epoch(train) [205][460/1879] lr: 1.0000e-04 eta: 7:42:17 time: 0.2874 data_time: 0.0220 memory: 8198 grad_norm: 7.1145 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0228 loss: 1.0228 2022/08/03 21:31:17 - mmengine - INFO - Epoch(train) [205][480/1879] lr: 1.0000e-04 eta: 7:42:12 time: 0.2865 data_time: 0.0207 memory: 8198 grad_norm: 7.3627 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8918 loss: 0.8918 2022/08/03 21:31:23 - mmengine - INFO - Epoch(train) [205][500/1879] lr: 1.0000e-04 eta: 7:42:06 time: 0.2853 data_time: 0.0235 memory: 8198 grad_norm: 7.1476 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9631 loss: 0.9631 2022/08/03 21:31:29 - mmengine - INFO - Epoch(train) [205][520/1879] lr: 1.0000e-04 eta: 7:42:00 time: 0.2873 data_time: 0.0260 memory: 8198 grad_norm: 7.4298 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2400 loss: 1.2400 2022/08/03 21:31:35 - mmengine - INFO - Epoch(train) [205][540/1879] lr: 1.0000e-04 eta: 7:41:55 time: 0.2929 data_time: 0.0237 memory: 8198 grad_norm: 7.2056 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/08/03 21:31:40 - mmengine - INFO - Epoch(train) [205][560/1879] lr: 1.0000e-04 eta: 7:41:49 time: 0.2829 data_time: 0.0200 memory: 8198 grad_norm: 7.0833 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0566 loss: 1.0566 2022/08/03 21:31:46 - mmengine - INFO - Epoch(train) [205][580/1879] lr: 1.0000e-04 eta: 7:41:43 time: 0.2979 data_time: 0.0179 memory: 8198 grad_norm: 7.0731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8381 loss: 0.8381 2022/08/03 21:31:52 - mmengine - INFO - Epoch(train) [205][600/1879] lr: 1.0000e-04 eta: 7:41:38 time: 0.2834 data_time: 0.0190 memory: 8198 grad_norm: 7.2392 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/03 21:31:58 - mmengine - INFO - Epoch(train) [205][620/1879] lr: 1.0000e-04 eta: 7:41:32 time: 0.2842 data_time: 0.0201 memory: 8198 grad_norm: 7.3108 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8973 loss: 0.8973 2022/08/03 21:32:04 - mmengine - INFO - Epoch(train) [205][640/1879] lr: 1.0000e-04 eta: 7:41:26 time: 0.2941 data_time: 0.0295 memory: 8198 grad_norm: 7.3415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/08/03 21:32:10 - mmengine - INFO - Epoch(train) [205][660/1879] lr: 1.0000e-04 eta: 7:41:20 time: 0.2876 data_time: 0.0202 memory: 8198 grad_norm: 7.0849 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9350 loss: 0.9350 2022/08/03 21:32:15 - mmengine - INFO - Epoch(train) [205][680/1879] lr: 1.0000e-04 eta: 7:41:15 time: 0.2862 data_time: 0.0204 memory: 8198 grad_norm: 7.3766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0265 loss: 1.0265 2022/08/03 21:32:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:32:21 - mmengine - INFO - Epoch(train) [205][700/1879] lr: 1.0000e-04 eta: 7:41:09 time: 0.2849 data_time: 0.0197 memory: 8198 grad_norm: 7.3552 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9308 loss: 0.9308 2022/08/03 21:32:27 - mmengine - INFO - Epoch(train) [205][720/1879] lr: 1.0000e-04 eta: 7:41:03 time: 0.2841 data_time: 0.0193 memory: 8198 grad_norm: 7.3693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/03 21:32:33 - mmengine - INFO - Epoch(train) [205][740/1879] lr: 1.0000e-04 eta: 7:40:58 time: 0.2856 data_time: 0.0207 memory: 8198 grad_norm: 7.1098 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8490 loss: 0.8490 2022/08/03 21:32:38 - mmengine - INFO - Epoch(train) [205][760/1879] lr: 1.0000e-04 eta: 7:40:52 time: 0.2848 data_time: 0.0193 memory: 8198 grad_norm: 7.2313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/08/03 21:32:44 - mmengine - INFO - Epoch(train) [205][780/1879] lr: 1.0000e-04 eta: 7:40:46 time: 0.2870 data_time: 0.0275 memory: 8198 grad_norm: 7.0723 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9291 loss: 0.9291 2022/08/03 21:32:50 - mmengine - INFO - Epoch(train) [205][800/1879] lr: 1.0000e-04 eta: 7:40:41 time: 0.2848 data_time: 0.0187 memory: 8198 grad_norm: 7.3441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/08/03 21:32:55 - mmengine - INFO - Epoch(train) [205][820/1879] lr: 1.0000e-04 eta: 7:40:35 time: 0.2857 data_time: 0.0280 memory: 8198 grad_norm: 7.2039 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8052 loss: 0.8052 2022/08/03 21:33:01 - mmengine - INFO - Epoch(train) [205][840/1879] lr: 1.0000e-04 eta: 7:40:29 time: 0.2938 data_time: 0.0221 memory: 8198 grad_norm: 7.1500 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/03 21:33:07 - mmengine - INFO - Epoch(train) [205][860/1879] lr: 1.0000e-04 eta: 7:40:23 time: 0.2872 data_time: 0.0223 memory: 8198 grad_norm: 7.2442 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0137 loss: 1.0137 2022/08/03 21:33:13 - mmengine - INFO - Epoch(train) [205][880/1879] lr: 1.0000e-04 eta: 7:40:18 time: 0.2862 data_time: 0.0194 memory: 8198 grad_norm: 7.3661 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/08/03 21:33:19 - mmengine - INFO - Epoch(train) [205][900/1879] lr: 1.0000e-04 eta: 7:40:12 time: 0.2888 data_time: 0.0268 memory: 8198 grad_norm: 7.1422 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9489 loss: 0.9489 2022/08/03 21:33:25 - mmengine - INFO - Epoch(train) [205][920/1879] lr: 1.0000e-04 eta: 7:40:06 time: 0.2903 data_time: 0.0206 memory: 8198 grad_norm: 7.0693 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0964 loss: 1.0964 2022/08/03 21:33:30 - mmengine - INFO - Epoch(train) [205][940/1879] lr: 1.0000e-04 eta: 7:40:01 time: 0.2840 data_time: 0.0197 memory: 8198 grad_norm: 7.2715 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9456 loss: 0.9456 2022/08/03 21:33:36 - mmengine - INFO - Epoch(train) [205][960/1879] lr: 1.0000e-04 eta: 7:39:55 time: 0.2875 data_time: 0.0253 memory: 8198 grad_norm: 7.3994 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0926 loss: 1.0926 2022/08/03 21:33:42 - mmengine - INFO - Epoch(train) [205][980/1879] lr: 1.0000e-04 eta: 7:39:49 time: 0.2832 data_time: 0.0223 memory: 8198 grad_norm: 7.1509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8576 loss: 0.8576 2022/08/03 21:33:47 - mmengine - INFO - Epoch(train) [205][1000/1879] lr: 1.0000e-04 eta: 7:39:44 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 7.2784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9891 loss: 0.9891 2022/08/03 21:33:53 - mmengine - INFO - Epoch(train) [205][1020/1879] lr: 1.0000e-04 eta: 7:39:38 time: 0.2867 data_time: 0.0240 memory: 8198 grad_norm: 7.1494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/08/03 21:33:59 - mmengine - INFO - Epoch(train) [205][1040/1879] lr: 1.0000e-04 eta: 7:39:32 time: 0.2892 data_time: 0.0273 memory: 8198 grad_norm: 7.1026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9851 loss: 0.9851 2022/08/03 21:34:05 - mmengine - INFO - Epoch(train) [205][1060/1879] lr: 1.0000e-04 eta: 7:39:27 time: 0.2865 data_time: 0.0193 memory: 8198 grad_norm: 7.4051 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/08/03 21:34:10 - mmengine - INFO - Epoch(train) [205][1080/1879] lr: 1.0000e-04 eta: 7:39:21 time: 0.2851 data_time: 0.0261 memory: 8198 grad_norm: 6.9771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9438 loss: 0.9438 2022/08/03 21:34:16 - mmengine - INFO - Epoch(train) [205][1100/1879] lr: 1.0000e-04 eta: 7:39:15 time: 0.2890 data_time: 0.0199 memory: 8198 grad_norm: 6.9584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0202 loss: 1.0202 2022/08/03 21:34:22 - mmengine - INFO - Epoch(train) [205][1120/1879] lr: 1.0000e-04 eta: 7:39:09 time: 0.2823 data_time: 0.0194 memory: 8198 grad_norm: 7.3777 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8351 loss: 0.8351 2022/08/03 21:34:28 - mmengine - INFO - Epoch(train) [205][1140/1879] lr: 1.0000e-04 eta: 7:39:04 time: 0.2905 data_time: 0.0223 memory: 8198 grad_norm: 7.2516 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/08/03 21:34:34 - mmengine - INFO - Epoch(train) [205][1160/1879] lr: 1.0000e-04 eta: 7:38:58 time: 0.2916 data_time: 0.0231 memory: 8198 grad_norm: 7.2006 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8378 loss: 0.8378 2022/08/03 21:34:39 - mmengine - INFO - Epoch(train) [205][1180/1879] lr: 1.0000e-04 eta: 7:38:52 time: 0.2841 data_time: 0.0213 memory: 8198 grad_norm: 7.2201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/08/03 21:34:45 - mmengine - INFO - Epoch(train) [205][1200/1879] lr: 1.0000e-04 eta: 7:38:47 time: 0.2829 data_time: 0.0223 memory: 8198 grad_norm: 7.3764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9758 loss: 0.9758 2022/08/03 21:34:51 - mmengine - INFO - Epoch(train) [205][1220/1879] lr: 1.0000e-04 eta: 7:38:41 time: 0.2839 data_time: 0.0216 memory: 8198 grad_norm: 7.2276 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/03 21:34:57 - mmengine - INFO - Epoch(train) [205][1240/1879] lr: 1.0000e-04 eta: 7:38:35 time: 0.2876 data_time: 0.0228 memory: 8198 grad_norm: 7.1602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/08/03 21:35:02 - mmengine - INFO - Epoch(train) [205][1260/1879] lr: 1.0000e-04 eta: 7:38:30 time: 0.2839 data_time: 0.0224 memory: 8198 grad_norm: 7.2037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8251 loss: 0.8251 2022/08/03 21:35:08 - mmengine - INFO - Epoch(train) [205][1280/1879] lr: 1.0000e-04 eta: 7:38:24 time: 0.2906 data_time: 0.0242 memory: 8198 grad_norm: 7.0279 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8953 loss: 0.8953 2022/08/03 21:35:14 - mmengine - INFO - Epoch(train) [205][1300/1879] lr: 1.0000e-04 eta: 7:38:18 time: 0.2892 data_time: 0.0245 memory: 8198 grad_norm: 7.4901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0877 loss: 1.0877 2022/08/03 21:35:20 - mmengine - INFO - Epoch(train) [205][1320/1879] lr: 1.0000e-04 eta: 7:38:12 time: 0.2857 data_time: 0.0227 memory: 8198 grad_norm: 7.4473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0035 loss: 1.0035 2022/08/03 21:35:25 - mmengine - INFO - Epoch(train) [205][1340/1879] lr: 1.0000e-04 eta: 7:38:07 time: 0.2839 data_time: 0.0208 memory: 8198 grad_norm: 7.2338 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8149 loss: 0.8149 2022/08/03 21:35:31 - mmengine - INFO - Epoch(train) [205][1360/1879] lr: 1.0000e-04 eta: 7:38:01 time: 0.2836 data_time: 0.0241 memory: 8198 grad_norm: 6.7410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9729 loss: 0.9729 2022/08/03 21:35:37 - mmengine - INFO - Epoch(train) [205][1380/1879] lr: 1.0000e-04 eta: 7:37:55 time: 0.2883 data_time: 0.0200 memory: 8198 grad_norm: 6.9455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0796 loss: 1.0796 2022/08/03 21:35:43 - mmengine - INFO - Epoch(train) [205][1400/1879] lr: 1.0000e-04 eta: 7:37:50 time: 0.2831 data_time: 0.0200 memory: 8198 grad_norm: 7.1812 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9501 loss: 0.9501 2022/08/03 21:35:48 - mmengine - INFO - Epoch(train) [205][1420/1879] lr: 1.0000e-04 eta: 7:37:44 time: 0.2876 data_time: 0.0288 memory: 8198 grad_norm: 7.2051 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0862 loss: 1.0862 2022/08/03 21:35:54 - mmengine - INFO - Epoch(train) [205][1440/1879] lr: 1.0000e-04 eta: 7:37:38 time: 0.2937 data_time: 0.0220 memory: 8198 grad_norm: 7.1249 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8887 loss: 0.8887 2022/08/03 21:36:00 - mmengine - INFO - Epoch(train) [205][1460/1879] lr: 1.0000e-04 eta: 7:37:33 time: 0.2842 data_time: 0.0253 memory: 8198 grad_norm: 7.2307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8386 loss: 0.8386 2022/08/03 21:36:06 - mmengine - INFO - Epoch(train) [205][1480/1879] lr: 1.0000e-04 eta: 7:37:27 time: 0.2874 data_time: 0.0260 memory: 8198 grad_norm: 7.0910 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0550 loss: 1.0550 2022/08/03 21:36:11 - mmengine - INFO - Epoch(train) [205][1500/1879] lr: 1.0000e-04 eta: 7:37:21 time: 0.2869 data_time: 0.0223 memory: 8198 grad_norm: 7.4172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9059 loss: 0.9059 2022/08/03 21:36:17 - mmengine - INFO - Epoch(train) [205][1520/1879] lr: 1.0000e-04 eta: 7:37:15 time: 0.2865 data_time: 0.0201 memory: 8198 grad_norm: 7.1032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0856 loss: 1.0856 2022/08/03 21:36:23 - mmengine - INFO - Epoch(train) [205][1540/1879] lr: 1.0000e-04 eta: 7:37:10 time: 0.2862 data_time: 0.0221 memory: 8198 grad_norm: 7.0638 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1375 loss: 1.1375 2022/08/03 21:36:29 - mmengine - INFO - Epoch(train) [205][1560/1879] lr: 1.0000e-04 eta: 7:37:04 time: 0.2840 data_time: 0.0233 memory: 8198 grad_norm: 7.2328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9145 loss: 0.9145 2022/08/03 21:36:35 - mmengine - INFO - Epoch(train) [205][1580/1879] lr: 1.0000e-04 eta: 7:36:58 time: 0.2929 data_time: 0.0230 memory: 8198 grad_norm: 7.2891 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0548 loss: 1.0548 2022/08/03 21:36:40 - mmengine - INFO - Epoch(train) [205][1600/1879] lr: 1.0000e-04 eta: 7:36:53 time: 0.2848 data_time: 0.0192 memory: 8198 grad_norm: 7.1275 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9401 loss: 0.9401 2022/08/03 21:36:46 - mmengine - INFO - Epoch(train) [205][1620/1879] lr: 1.0000e-04 eta: 7:36:47 time: 0.2871 data_time: 0.0211 memory: 8198 grad_norm: 7.1973 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0249 loss: 1.0249 2022/08/03 21:36:52 - mmengine - INFO - Epoch(train) [205][1640/1879] lr: 1.0000e-04 eta: 7:36:41 time: 0.2829 data_time: 0.0196 memory: 8198 grad_norm: 7.2121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9644 loss: 0.9644 2022/08/03 21:36:58 - mmengine - INFO - Epoch(train) [205][1660/1879] lr: 1.0000e-04 eta: 7:36:36 time: 0.2882 data_time: 0.0249 memory: 8198 grad_norm: 7.3934 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/08/03 21:37:03 - mmengine - INFO - Epoch(train) [205][1680/1879] lr: 1.0000e-04 eta: 7:36:30 time: 0.2882 data_time: 0.0206 memory: 8198 grad_norm: 7.0314 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9479 loss: 0.9479 2022/08/03 21:37:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:37:09 - mmengine - INFO - Epoch(train) [205][1700/1879] lr: 1.0000e-04 eta: 7:36:24 time: 0.2855 data_time: 0.0202 memory: 8198 grad_norm: 6.9701 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/03 21:37:15 - mmengine - INFO - Epoch(train) [205][1720/1879] lr: 1.0000e-04 eta: 7:36:18 time: 0.2887 data_time: 0.0208 memory: 8198 grad_norm: 7.0159 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9852 loss: 0.9852 2022/08/03 21:37:21 - mmengine - INFO - Epoch(train) [205][1740/1879] lr: 1.0000e-04 eta: 7:36:13 time: 0.2874 data_time: 0.0206 memory: 8198 grad_norm: 7.4125 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0802 loss: 1.0802 2022/08/03 21:37:26 - mmengine - INFO - Epoch(train) [205][1760/1879] lr: 1.0000e-04 eta: 7:36:07 time: 0.2863 data_time: 0.0201 memory: 8198 grad_norm: 7.1015 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9321 loss: 0.9321 2022/08/03 21:37:32 - mmengine - INFO - Epoch(train) [205][1780/1879] lr: 1.0000e-04 eta: 7:36:01 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 7.1575 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9394 loss: 0.9394 2022/08/03 21:37:38 - mmengine - INFO - Epoch(train) [205][1800/1879] lr: 1.0000e-04 eta: 7:35:56 time: 0.2884 data_time: 0.0229 memory: 8198 grad_norm: 7.3361 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0476 loss: 1.0476 2022/08/03 21:37:44 - mmengine - INFO - Epoch(train) [205][1820/1879] lr: 1.0000e-04 eta: 7:35:50 time: 0.2913 data_time: 0.0243 memory: 8198 grad_norm: 7.2541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1020 loss: 1.1020 2022/08/03 21:37:50 - mmengine - INFO - Epoch(train) [205][1840/1879] lr: 1.0000e-04 eta: 7:35:44 time: 0.2837 data_time: 0.0203 memory: 8198 grad_norm: 7.2396 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1422 loss: 1.1422 2022/08/03 21:37:55 - mmengine - INFO - Epoch(train) [205][1860/1879] lr: 1.0000e-04 eta: 7:35:39 time: 0.2925 data_time: 0.0296 memory: 8198 grad_norm: 6.9537 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8804 loss: 0.8804 2022/08/03 21:38:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:38:00 - mmengine - INFO - Epoch(train) [205][1879/1879] lr: 1.0000e-04 eta: 7:35:39 time: 0.2633 data_time: 0.0190 memory: 8198 grad_norm: 7.3516 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9723 loss: 0.9723 2022/08/03 21:38:07 - mmengine - INFO - Epoch(val) [205][20/155] eta: 0:00:43 time: 0.3243 data_time: 0.2345 memory: 1514 2022/08/03 21:38:12 - mmengine - INFO - Epoch(val) [205][40/155] eta: 0:00:26 time: 0.2332 data_time: 0.1445 memory: 1514 2022/08/03 21:38:17 - mmengine - INFO - Epoch(val) [205][60/155] eta: 0:00:27 time: 0.2924 data_time: 0.2047 memory: 1514 2022/08/03 21:38:22 - mmengine - INFO - Epoch(val) [205][80/155] eta: 0:00:16 time: 0.2249 data_time: 0.1397 memory: 1514 2022/08/03 21:38:28 - mmengine - INFO - Epoch(val) [205][100/155] eta: 0:00:16 time: 0.2997 data_time: 0.2091 memory: 1514 2022/08/03 21:38:33 - mmengine - INFO - Epoch(val) [205][120/155] eta: 0:00:08 time: 0.2545 data_time: 0.1661 memory: 1514 2022/08/03 21:38:39 - mmengine - INFO - Epoch(val) [205][140/155] eta: 0:00:04 time: 0.2810 data_time: 0.1955 memory: 1514 2022/08/03 21:38:44 - mmengine - INFO - Epoch(val) [205][155/155] acc/top1: 0.6790 acc/top5: 0.8689 acc/mean1: 0.6789 2022/08/03 21:38:53 - mmengine - INFO - Epoch(train) [206][20/1879] lr: 1.0000e-04 eta: 7:35:27 time: 0.4252 data_time: 0.1543 memory: 8198 grad_norm: 7.3514 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8592 loss: 0.8592 2022/08/03 21:38:58 - mmengine - INFO - Epoch(train) [206][40/1879] lr: 1.0000e-04 eta: 7:35:21 time: 0.2857 data_time: 0.0210 memory: 8198 grad_norm: 7.0771 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9646 loss: 0.9646 2022/08/03 21:39:04 - mmengine - INFO - Epoch(train) [206][60/1879] lr: 1.0000e-04 eta: 7:35:16 time: 0.2930 data_time: 0.0291 memory: 8198 grad_norm: 7.2815 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9114 loss: 0.9114 2022/08/03 21:39:10 - mmengine - INFO - Epoch(train) [206][80/1879] lr: 1.0000e-04 eta: 7:35:10 time: 0.2882 data_time: 0.0172 memory: 8198 grad_norm: 6.9679 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0967 loss: 1.0967 2022/08/03 21:39:16 - mmengine - INFO - Epoch(train) [206][100/1879] lr: 1.0000e-04 eta: 7:35:04 time: 0.2857 data_time: 0.0253 memory: 8198 grad_norm: 7.2320 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9044 loss: 0.9044 2022/08/03 21:39:21 - mmengine - INFO - Epoch(train) [206][120/1879] lr: 1.0000e-04 eta: 7:34:58 time: 0.2849 data_time: 0.0195 memory: 8198 grad_norm: 7.0444 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8801 loss: 0.8801 2022/08/03 21:39:27 - mmengine - INFO - Epoch(train) [206][140/1879] lr: 1.0000e-04 eta: 7:34:53 time: 0.2841 data_time: 0.0246 memory: 8198 grad_norm: 7.2376 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8844 loss: 0.8844 2022/08/03 21:39:33 - mmengine - INFO - Epoch(train) [206][160/1879] lr: 1.0000e-04 eta: 7:34:47 time: 0.2868 data_time: 0.0242 memory: 8198 grad_norm: 7.2612 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9532 loss: 0.9532 2022/08/03 21:39:39 - mmengine - INFO - Epoch(train) [206][180/1879] lr: 1.0000e-04 eta: 7:34:41 time: 0.2870 data_time: 0.0236 memory: 8198 grad_norm: 7.2919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8171 loss: 0.8171 2022/08/03 21:39:44 - mmengine - INFO - Epoch(train) [206][200/1879] lr: 1.0000e-04 eta: 7:34:36 time: 0.2848 data_time: 0.0213 memory: 8198 grad_norm: 7.3863 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9066 loss: 0.9066 2022/08/03 21:39:50 - mmengine - INFO - Epoch(train) [206][220/1879] lr: 1.0000e-04 eta: 7:34:30 time: 0.2848 data_time: 0.0201 memory: 8198 grad_norm: 7.1703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9448 loss: 0.9448 2022/08/03 21:39:56 - mmengine - INFO - Epoch(train) [206][240/1879] lr: 1.0000e-04 eta: 7:34:24 time: 0.3004 data_time: 0.0217 memory: 8198 grad_norm: 7.2358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9897 loss: 0.9897 2022/08/03 21:40:02 - mmengine - INFO - Epoch(train) [206][260/1879] lr: 1.0000e-04 eta: 7:34:19 time: 0.2847 data_time: 0.0188 memory: 8198 grad_norm: 7.4336 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1166 loss: 1.1166 2022/08/03 21:40:08 - mmengine - INFO - Epoch(train) [206][280/1879] lr: 1.0000e-04 eta: 7:34:13 time: 0.2910 data_time: 0.0208 memory: 8198 grad_norm: 6.9916 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9781 loss: 0.9781 2022/08/03 21:40:14 - mmengine - INFO - Epoch(train) [206][300/1879] lr: 1.0000e-04 eta: 7:34:07 time: 0.2855 data_time: 0.0210 memory: 8198 grad_norm: 7.2656 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/08/03 21:40:19 - mmengine - INFO - Epoch(train) [206][320/1879] lr: 1.0000e-04 eta: 7:34:01 time: 0.2886 data_time: 0.0216 memory: 8198 grad_norm: 7.1440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9780 loss: 0.9780 2022/08/03 21:40:25 - mmengine - INFO - Epoch(train) [206][340/1879] lr: 1.0000e-04 eta: 7:33:56 time: 0.2919 data_time: 0.0266 memory: 8198 grad_norm: 7.2724 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9979 loss: 0.9979 2022/08/03 21:40:31 - mmengine - INFO - Epoch(train) [206][360/1879] lr: 1.0000e-04 eta: 7:33:50 time: 0.2840 data_time: 0.0214 memory: 8198 grad_norm: 7.1845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/08/03 21:40:37 - mmengine - INFO - Epoch(train) [206][380/1879] lr: 1.0000e-04 eta: 7:33:44 time: 0.2987 data_time: 0.0202 memory: 8198 grad_norm: 7.3045 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9981 loss: 0.9981 2022/08/03 21:40:43 - mmengine - INFO - Epoch(train) [206][400/1879] lr: 1.0000e-04 eta: 7:33:39 time: 0.2858 data_time: 0.0238 memory: 8198 grad_norm: 7.2046 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1122 loss: 1.1122 2022/08/03 21:40:48 - mmengine - INFO - Epoch(train) [206][420/1879] lr: 1.0000e-04 eta: 7:33:33 time: 0.2886 data_time: 0.0234 memory: 8198 grad_norm: 7.1182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0806 loss: 1.0806 2022/08/03 21:40:54 - mmengine - INFO - Epoch(train) [206][440/1879] lr: 1.0000e-04 eta: 7:33:27 time: 0.2940 data_time: 0.0242 memory: 8198 grad_norm: 7.4247 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7823 loss: 0.7823 2022/08/03 21:41:00 - mmengine - INFO - Epoch(train) [206][460/1879] lr: 1.0000e-04 eta: 7:33:22 time: 0.2819 data_time: 0.0196 memory: 8198 grad_norm: 7.3983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9351 loss: 0.9351 2022/08/03 21:41:06 - mmengine - INFO - Epoch(train) [206][480/1879] lr: 1.0000e-04 eta: 7:33:16 time: 0.2903 data_time: 0.0237 memory: 8198 grad_norm: 7.4697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/03 21:41:12 - mmengine - INFO - Epoch(train) [206][500/1879] lr: 1.0000e-04 eta: 7:33:10 time: 0.2915 data_time: 0.0232 memory: 8198 grad_norm: 7.3653 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0389 loss: 1.0389 2022/08/03 21:41:17 - mmengine - INFO - Epoch(train) [206][520/1879] lr: 1.0000e-04 eta: 7:33:05 time: 0.2871 data_time: 0.0218 memory: 8198 grad_norm: 7.0984 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9069 loss: 0.9069 2022/08/03 21:41:23 - mmengine - INFO - Epoch(train) [206][540/1879] lr: 1.0000e-04 eta: 7:32:59 time: 0.2854 data_time: 0.0238 memory: 8198 grad_norm: 7.0179 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/08/03 21:41:29 - mmengine - INFO - Epoch(train) [206][560/1879] lr: 1.0000e-04 eta: 7:32:53 time: 0.2893 data_time: 0.0199 memory: 8198 grad_norm: 7.4060 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1040 loss: 1.1040 2022/08/03 21:41:35 - mmengine - INFO - Epoch(train) [206][580/1879] lr: 1.0000e-04 eta: 7:32:48 time: 0.2960 data_time: 0.0241 memory: 8198 grad_norm: 7.2381 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9690 loss: 0.9690 2022/08/03 21:41:41 - mmengine - INFO - Epoch(train) [206][600/1879] lr: 1.0000e-04 eta: 7:32:42 time: 0.2840 data_time: 0.0171 memory: 8198 grad_norm: 7.2105 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9408 loss: 0.9408 2022/08/03 21:41:47 - mmengine - INFO - Epoch(train) [206][620/1879] lr: 1.0000e-04 eta: 7:32:36 time: 0.2975 data_time: 0.0220 memory: 8198 grad_norm: 7.2061 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9711 loss: 0.9711 2022/08/03 21:41:52 - mmengine - INFO - Epoch(train) [206][640/1879] lr: 1.0000e-04 eta: 7:32:31 time: 0.2870 data_time: 0.0208 memory: 8198 grad_norm: 7.2819 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0717 loss: 1.0717 2022/08/03 21:41:58 - mmengine - INFO - Epoch(train) [206][660/1879] lr: 1.0000e-04 eta: 7:32:25 time: 0.2856 data_time: 0.0193 memory: 8198 grad_norm: 7.1375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9847 loss: 0.9847 2022/08/03 21:42:04 - mmengine - INFO - Epoch(train) [206][680/1879] lr: 1.0000e-04 eta: 7:32:19 time: 0.2858 data_time: 0.0272 memory: 8198 grad_norm: 7.2266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/08/03 21:42:10 - mmengine - INFO - Epoch(train) [206][700/1879] lr: 1.0000e-04 eta: 7:32:13 time: 0.2900 data_time: 0.0239 memory: 8198 grad_norm: 7.0125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8096 loss: 0.8096 2022/08/03 21:42:15 - mmengine - INFO - Epoch(train) [206][720/1879] lr: 1.0000e-04 eta: 7:32:08 time: 0.2837 data_time: 0.0214 memory: 8198 grad_norm: 7.0469 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8962 loss: 0.8962 2022/08/03 21:42:21 - mmengine - INFO - Epoch(train) [206][740/1879] lr: 1.0000e-04 eta: 7:32:02 time: 0.2850 data_time: 0.0236 memory: 8198 grad_norm: 7.1273 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9919 loss: 0.9919 2022/08/03 21:42:27 - mmengine - INFO - Epoch(train) [206][760/1879] lr: 1.0000e-04 eta: 7:31:56 time: 0.2895 data_time: 0.0202 memory: 8198 grad_norm: 7.3305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9538 loss: 0.9538 2022/08/03 21:42:33 - mmengine - INFO - Epoch(train) [206][780/1879] lr: 1.0000e-04 eta: 7:31:51 time: 0.2879 data_time: 0.0286 memory: 8198 grad_norm: 7.0319 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/08/03 21:42:39 - mmengine - INFO - Epoch(train) [206][800/1879] lr: 1.0000e-04 eta: 7:31:45 time: 0.2854 data_time: 0.0252 memory: 8198 grad_norm: 7.0927 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8114 loss: 0.8114 2022/08/03 21:42:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:42:44 - mmengine - INFO - Epoch(train) [206][820/1879] lr: 1.0000e-04 eta: 7:31:39 time: 0.2887 data_time: 0.0274 memory: 8198 grad_norm: 7.0009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9897 loss: 0.9897 2022/08/03 21:42:50 - mmengine - INFO - Epoch(train) [206][840/1879] lr: 1.0000e-04 eta: 7:31:34 time: 0.2851 data_time: 0.0197 memory: 8198 grad_norm: 7.1351 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8409 loss: 0.8409 2022/08/03 21:42:56 - mmengine - INFO - Epoch(train) [206][860/1879] lr: 1.0000e-04 eta: 7:31:28 time: 0.2871 data_time: 0.0205 memory: 8198 grad_norm: 7.1426 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9239 loss: 0.9239 2022/08/03 21:43:02 - mmengine - INFO - Epoch(train) [206][880/1879] lr: 1.0000e-04 eta: 7:31:22 time: 0.2846 data_time: 0.0192 memory: 8198 grad_norm: 7.1977 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9089 loss: 0.9089 2022/08/03 21:43:07 - mmengine - INFO - Epoch(train) [206][900/1879] lr: 1.0000e-04 eta: 7:31:16 time: 0.2876 data_time: 0.0257 memory: 8198 grad_norm: 7.2000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/08/03 21:43:13 - mmengine - INFO - Epoch(train) [206][920/1879] lr: 1.0000e-04 eta: 7:31:11 time: 0.2963 data_time: 0.0205 memory: 8198 grad_norm: 7.1531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8469 loss: 0.8469 2022/08/03 21:43:19 - mmengine - INFO - Epoch(train) [206][940/1879] lr: 1.0000e-04 eta: 7:31:05 time: 0.2888 data_time: 0.0206 memory: 8198 grad_norm: 6.8653 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8706 loss: 0.8706 2022/08/03 21:43:25 - mmengine - INFO - Epoch(train) [206][960/1879] lr: 1.0000e-04 eta: 7:30:59 time: 0.2922 data_time: 0.0246 memory: 8198 grad_norm: 7.3841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7822 loss: 0.7822 2022/08/03 21:43:31 - mmengine - INFO - Epoch(train) [206][980/1879] lr: 1.0000e-04 eta: 7:30:54 time: 0.2850 data_time: 0.0252 memory: 8198 grad_norm: 7.2008 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9432 loss: 0.9432 2022/08/03 21:43:36 - mmengine - INFO - Epoch(train) [206][1000/1879] lr: 1.0000e-04 eta: 7:30:48 time: 0.2838 data_time: 0.0249 memory: 8198 grad_norm: 7.2877 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8354 loss: 0.8354 2022/08/03 21:43:42 - mmengine - INFO - Epoch(train) [206][1020/1879] lr: 1.0000e-04 eta: 7:30:42 time: 0.2846 data_time: 0.0233 memory: 8198 grad_norm: 7.3723 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0381 loss: 1.0381 2022/08/03 21:43:48 - mmengine - INFO - Epoch(train) [206][1040/1879] lr: 1.0000e-04 eta: 7:30:37 time: 0.2879 data_time: 0.0243 memory: 8198 grad_norm: 7.3156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1017 loss: 1.1017 2022/08/03 21:43:54 - mmengine - INFO - Epoch(train) [206][1060/1879] lr: 1.0000e-04 eta: 7:30:31 time: 0.2843 data_time: 0.0195 memory: 8198 grad_norm: 7.1969 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9651 loss: 0.9651 2022/08/03 21:43:59 - mmengine - INFO - Epoch(train) [206][1080/1879] lr: 1.0000e-04 eta: 7:30:25 time: 0.2899 data_time: 0.0249 memory: 8198 grad_norm: 7.4300 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/03 21:44:05 - mmengine - INFO - Epoch(train) [206][1100/1879] lr: 1.0000e-04 eta: 7:30:20 time: 0.2914 data_time: 0.0235 memory: 8198 grad_norm: 7.5224 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7466 loss: 0.7466 2022/08/03 21:44:11 - mmengine - INFO - Epoch(train) [206][1120/1879] lr: 1.0000e-04 eta: 7:30:14 time: 0.2846 data_time: 0.0194 memory: 8198 grad_norm: 7.2093 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8603 loss: 0.8603 2022/08/03 21:44:17 - mmengine - INFO - Epoch(train) [206][1140/1879] lr: 1.0000e-04 eta: 7:30:08 time: 0.3029 data_time: 0.0264 memory: 8198 grad_norm: 7.1704 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9108 loss: 0.9108 2022/08/03 21:44:23 - mmengine - INFO - Epoch(train) [206][1160/1879] lr: 1.0000e-04 eta: 7:30:03 time: 0.2855 data_time: 0.0226 memory: 8198 grad_norm: 7.2451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8338 loss: 0.8338 2022/08/03 21:44:29 - mmengine - INFO - Epoch(train) [206][1180/1879] lr: 1.0000e-04 eta: 7:29:57 time: 0.2869 data_time: 0.0230 memory: 8198 grad_norm: 7.3068 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0815 loss: 1.0815 2022/08/03 21:44:34 - mmengine - INFO - Epoch(train) [206][1200/1879] lr: 1.0000e-04 eta: 7:29:51 time: 0.2866 data_time: 0.0244 memory: 8198 grad_norm: 7.1130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0983 loss: 1.0983 2022/08/03 21:44:40 - mmengine - INFO - Epoch(train) [206][1220/1879] lr: 1.0000e-04 eta: 7:29:45 time: 0.2872 data_time: 0.0227 memory: 8198 grad_norm: 7.1339 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9958 loss: 0.9958 2022/08/03 21:44:46 - mmengine - INFO - Epoch(train) [206][1240/1879] lr: 1.0000e-04 eta: 7:29:40 time: 0.2916 data_time: 0.0221 memory: 8198 grad_norm: 7.1208 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8315 loss: 0.8315 2022/08/03 21:44:52 - mmengine - INFO - Epoch(train) [206][1260/1879] lr: 1.0000e-04 eta: 7:29:34 time: 0.2885 data_time: 0.0236 memory: 8198 grad_norm: 7.0716 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0209 loss: 1.0209 2022/08/03 21:44:58 - mmengine - INFO - Epoch(train) [206][1280/1879] lr: 1.0000e-04 eta: 7:29:29 time: 0.3076 data_time: 0.0340 memory: 8198 grad_norm: 7.3166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9921 loss: 0.9921 2022/08/03 21:45:04 - mmengine - INFO - Epoch(train) [206][1300/1879] lr: 1.0000e-04 eta: 7:29:23 time: 0.2850 data_time: 0.0234 memory: 8198 grad_norm: 7.1198 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0257 loss: 1.0257 2022/08/03 21:45:10 - mmengine - INFO - Epoch(train) [206][1320/1879] lr: 1.0000e-04 eta: 7:29:17 time: 0.2884 data_time: 0.0213 memory: 8198 grad_norm: 7.2342 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8907 loss: 0.8907 2022/08/03 21:45:15 - mmengine - INFO - Epoch(train) [206][1340/1879] lr: 1.0000e-04 eta: 7:29:11 time: 0.2870 data_time: 0.0237 memory: 8198 grad_norm: 7.2644 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9081 loss: 0.9081 2022/08/03 21:45:21 - mmengine - INFO - Epoch(train) [206][1360/1879] lr: 1.0000e-04 eta: 7:29:06 time: 0.2859 data_time: 0.0235 memory: 8198 grad_norm: 6.8764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/08/03 21:45:27 - mmengine - INFO - Epoch(train) [206][1380/1879] lr: 1.0000e-04 eta: 7:29:00 time: 0.2862 data_time: 0.0242 memory: 8198 grad_norm: 7.1547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9410 loss: 0.9410 2022/08/03 21:45:32 - mmengine - INFO - Epoch(train) [206][1400/1879] lr: 1.0000e-04 eta: 7:28:54 time: 0.2827 data_time: 0.0181 memory: 8198 grad_norm: 7.2452 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8465 loss: 0.8465 2022/08/03 21:45:38 - mmengine - INFO - Epoch(train) [206][1420/1879] lr: 1.0000e-04 eta: 7:28:49 time: 0.2985 data_time: 0.0234 memory: 8198 grad_norm: 7.1401 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8124 loss: 0.8124 2022/08/03 21:45:44 - mmengine - INFO - Epoch(train) [206][1440/1879] lr: 1.0000e-04 eta: 7:28:43 time: 0.2856 data_time: 0.0219 memory: 8198 grad_norm: 7.3268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0515 loss: 1.0515 2022/08/03 21:45:50 - mmengine - INFO - Epoch(train) [206][1460/1879] lr: 1.0000e-04 eta: 7:28:37 time: 0.2859 data_time: 0.0229 memory: 8198 grad_norm: 7.4153 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7594 loss: 0.7594 2022/08/03 21:45:56 - mmengine - INFO - Epoch(train) [206][1480/1879] lr: 1.0000e-04 eta: 7:28:32 time: 0.2878 data_time: 0.0237 memory: 8198 grad_norm: 7.2588 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8560 loss: 0.8560 2022/08/03 21:46:02 - mmengine - INFO - Epoch(train) [206][1500/1879] lr: 1.0000e-04 eta: 7:28:26 time: 0.2865 data_time: 0.0233 memory: 8198 grad_norm: 7.4361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9161 loss: 0.9161 2022/08/03 21:46:07 - mmengine - INFO - Epoch(train) [206][1520/1879] lr: 1.0000e-04 eta: 7:28:20 time: 0.2868 data_time: 0.0236 memory: 8198 grad_norm: 7.4340 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1103 loss: 1.1103 2022/08/03 21:46:13 - mmengine - INFO - Epoch(train) [206][1540/1879] lr: 1.0000e-04 eta: 7:28:14 time: 0.2870 data_time: 0.0243 memory: 8198 grad_norm: 6.8675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9794 loss: 0.9794 2022/08/03 21:46:19 - mmengine - INFO - Epoch(train) [206][1560/1879] lr: 1.0000e-04 eta: 7:28:09 time: 0.2855 data_time: 0.0215 memory: 8198 grad_norm: 7.1751 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/03 21:46:25 - mmengine - INFO - Epoch(train) [206][1580/1879] lr: 1.0000e-04 eta: 7:28:03 time: 0.2870 data_time: 0.0237 memory: 8198 grad_norm: 7.0977 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8313 loss: 0.8313 2022/08/03 21:46:30 - mmengine - INFO - Epoch(train) [206][1600/1879] lr: 1.0000e-04 eta: 7:27:57 time: 0.2839 data_time: 0.0240 memory: 8198 grad_norm: 7.1763 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1305 loss: 1.1305 2022/08/03 21:46:36 - mmengine - INFO - Epoch(train) [206][1620/1879] lr: 1.0000e-04 eta: 7:27:52 time: 0.2914 data_time: 0.0236 memory: 8198 grad_norm: 6.9468 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9068 loss: 0.9068 2022/08/03 21:46:42 - mmengine - INFO - Epoch(train) [206][1640/1879] lr: 1.0000e-04 eta: 7:27:46 time: 0.2848 data_time: 0.0204 memory: 8198 grad_norm: 7.2524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/08/03 21:46:48 - mmengine - INFO - Epoch(train) [206][1660/1879] lr: 1.0000e-04 eta: 7:27:40 time: 0.2885 data_time: 0.0200 memory: 8198 grad_norm: 7.1159 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9098 loss: 0.9098 2022/08/03 21:46:53 - mmengine - INFO - Epoch(train) [206][1680/1879] lr: 1.0000e-04 eta: 7:27:35 time: 0.2840 data_time: 0.0201 memory: 8198 grad_norm: 7.2008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/08/03 21:46:59 - mmengine - INFO - Epoch(train) [206][1700/1879] lr: 1.0000e-04 eta: 7:27:29 time: 0.2855 data_time: 0.0226 memory: 8198 grad_norm: 7.2468 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0419 loss: 1.0419 2022/08/03 21:47:05 - mmengine - INFO - Epoch(train) [206][1720/1879] lr: 1.0000e-04 eta: 7:27:23 time: 0.2854 data_time: 0.0252 memory: 8198 grad_norm: 7.0595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7864 loss: 0.7864 2022/08/03 21:47:11 - mmengine - INFO - Epoch(train) [206][1740/1879] lr: 1.0000e-04 eta: 7:27:17 time: 0.2868 data_time: 0.0217 memory: 8198 grad_norm: 7.1357 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/08/03 21:47:16 - mmengine - INFO - Epoch(train) [206][1760/1879] lr: 1.0000e-04 eta: 7:27:12 time: 0.2878 data_time: 0.0195 memory: 8198 grad_norm: 7.4990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9361 loss: 0.9361 2022/08/03 21:47:22 - mmengine - INFO - Epoch(train) [206][1780/1879] lr: 1.0000e-04 eta: 7:27:06 time: 0.2878 data_time: 0.0248 memory: 8198 grad_norm: 7.2231 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9322 loss: 0.9322 2022/08/03 21:47:28 - mmengine - INFO - Epoch(train) [206][1800/1879] lr: 1.0000e-04 eta: 7:27:00 time: 0.2898 data_time: 0.0234 memory: 8198 grad_norm: 7.3018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0940 loss: 1.0940 2022/08/03 21:47:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:47:34 - mmengine - INFO - Epoch(train) [206][1820/1879] lr: 1.0000e-04 eta: 7:26:55 time: 0.2876 data_time: 0.0227 memory: 8198 grad_norm: 7.4485 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0024 loss: 1.0024 2022/08/03 21:47:40 - mmengine - INFO - Epoch(train) [206][1840/1879] lr: 1.0000e-04 eta: 7:26:49 time: 0.2892 data_time: 0.0232 memory: 8198 grad_norm: 7.2476 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0546 loss: 1.0546 2022/08/03 21:47:46 - mmengine - INFO - Epoch(train) [206][1860/1879] lr: 1.0000e-04 eta: 7:26:43 time: 0.2971 data_time: 0.0226 memory: 8198 grad_norm: 7.4517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/08/03 21:47:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:47:50 - mmengine - INFO - Epoch(train) [206][1879/1879] lr: 1.0000e-04 eta: 7:26:43 time: 0.2559 data_time: 0.0176 memory: 8198 grad_norm: 7.5498 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1562 loss: 1.1562 2022/08/03 21:47:59 - mmengine - INFO - Epoch(train) [207][20/1879] lr: 1.0000e-04 eta: 7:26:32 time: 0.4177 data_time: 0.1072 memory: 8198 grad_norm: 7.6617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1331 loss: 1.1331 2022/08/03 21:48:05 - mmengine - INFO - Epoch(train) [207][40/1879] lr: 1.0000e-04 eta: 7:26:26 time: 0.2900 data_time: 0.0164 memory: 8198 grad_norm: 7.3896 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8684 loss: 0.8684 2022/08/03 21:48:11 - mmengine - INFO - Epoch(train) [207][60/1879] lr: 1.0000e-04 eta: 7:26:20 time: 0.2903 data_time: 0.0201 memory: 8198 grad_norm: 7.4646 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/08/03 21:48:16 - mmengine - INFO - Epoch(train) [207][80/1879] lr: 1.0000e-04 eta: 7:26:15 time: 0.2867 data_time: 0.0252 memory: 8198 grad_norm: 7.1721 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9035 loss: 0.9035 2022/08/03 21:48:22 - mmengine - INFO - Epoch(train) [207][100/1879] lr: 1.0000e-04 eta: 7:26:09 time: 0.2898 data_time: 0.0215 memory: 8198 grad_norm: 7.3856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/08/03 21:48:28 - mmengine - INFO - Epoch(train) [207][120/1879] lr: 1.0000e-04 eta: 7:26:03 time: 0.2848 data_time: 0.0235 memory: 8198 grad_norm: 7.4306 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/03 21:48:34 - mmengine - INFO - Epoch(train) [207][140/1879] lr: 1.0000e-04 eta: 7:25:57 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 7.0974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0408 loss: 1.0408 2022/08/03 21:48:39 - mmengine - INFO - Epoch(train) [207][160/1879] lr: 1.0000e-04 eta: 7:25:52 time: 0.2878 data_time: 0.0222 memory: 8198 grad_norm: 7.2695 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0108 loss: 1.0108 2022/08/03 21:48:45 - mmengine - INFO - Epoch(train) [207][180/1879] lr: 1.0000e-04 eta: 7:25:46 time: 0.2895 data_time: 0.0292 memory: 8198 grad_norm: 7.0998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9249 loss: 0.9249 2022/08/03 21:48:51 - mmengine - INFO - Epoch(train) [207][200/1879] lr: 1.0000e-04 eta: 7:25:40 time: 0.2843 data_time: 0.0199 memory: 8198 grad_norm: 7.1608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8535 loss: 0.8535 2022/08/03 21:48:57 - mmengine - INFO - Epoch(train) [207][220/1879] lr: 1.0000e-04 eta: 7:25:35 time: 0.2934 data_time: 0.0258 memory: 8198 grad_norm: 7.2171 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1720 loss: 1.1720 2022/08/03 21:49:03 - mmengine - INFO - Epoch(train) [207][240/1879] lr: 1.0000e-04 eta: 7:25:29 time: 0.2844 data_time: 0.0181 memory: 8198 grad_norm: 7.3641 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9344 loss: 0.9344 2022/08/03 21:49:08 - mmengine - INFO - Epoch(train) [207][260/1879] lr: 1.0000e-04 eta: 7:25:23 time: 0.2907 data_time: 0.0225 memory: 8198 grad_norm: 6.9869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9310 loss: 0.9310 2022/08/03 21:49:14 - mmengine - INFO - Epoch(train) [207][280/1879] lr: 1.0000e-04 eta: 7:25:18 time: 0.2901 data_time: 0.0281 memory: 8198 grad_norm: 7.3814 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9879 loss: 0.9879 2022/08/03 21:49:20 - mmengine - INFO - Epoch(train) [207][300/1879] lr: 1.0000e-04 eta: 7:25:12 time: 0.2866 data_time: 0.0255 memory: 8198 grad_norm: 7.2550 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/08/03 21:49:26 - mmengine - INFO - Epoch(train) [207][320/1879] lr: 1.0000e-04 eta: 7:25:06 time: 0.2895 data_time: 0.0228 memory: 8198 grad_norm: 7.1936 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9278 loss: 0.9278 2022/08/03 21:49:32 - mmengine - INFO - Epoch(train) [207][340/1879] lr: 1.0000e-04 eta: 7:25:01 time: 0.2875 data_time: 0.0241 memory: 8198 grad_norm: 7.1801 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1727 loss: 1.1727 2022/08/03 21:49:38 - mmengine - INFO - Epoch(train) [207][360/1879] lr: 1.0000e-04 eta: 7:24:55 time: 0.2956 data_time: 0.0266 memory: 8198 grad_norm: 7.2110 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1201 loss: 1.1201 2022/08/03 21:49:43 - mmengine - INFO - Epoch(train) [207][380/1879] lr: 1.0000e-04 eta: 7:24:49 time: 0.2871 data_time: 0.0217 memory: 8198 grad_norm: 7.1461 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0325 loss: 1.0325 2022/08/03 21:49:49 - mmengine - INFO - Epoch(train) [207][400/1879] lr: 1.0000e-04 eta: 7:24:44 time: 0.2921 data_time: 0.0187 memory: 8198 grad_norm: 7.2650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9898 loss: 0.9898 2022/08/03 21:49:55 - mmengine - INFO - Epoch(train) [207][420/1879] lr: 1.0000e-04 eta: 7:24:38 time: 0.2907 data_time: 0.0243 memory: 8198 grad_norm: 7.2920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9564 loss: 0.9564 2022/08/03 21:50:01 - mmengine - INFO - Epoch(train) [207][440/1879] lr: 1.0000e-04 eta: 7:24:32 time: 0.2853 data_time: 0.0204 memory: 8198 grad_norm: 7.3619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0972 loss: 1.0972 2022/08/03 21:50:07 - mmengine - INFO - Epoch(train) [207][460/1879] lr: 1.0000e-04 eta: 7:24:26 time: 0.2921 data_time: 0.0235 memory: 8198 grad_norm: 7.1571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8282 loss: 0.8282 2022/08/03 21:50:12 - mmengine - INFO - Epoch(train) [207][480/1879] lr: 1.0000e-04 eta: 7:24:21 time: 0.2854 data_time: 0.0201 memory: 8198 grad_norm: 7.0876 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9294 loss: 0.9294 2022/08/03 21:50:18 - mmengine - INFO - Epoch(train) [207][500/1879] lr: 1.0000e-04 eta: 7:24:15 time: 0.2890 data_time: 0.0214 memory: 8198 grad_norm: 7.2328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/08/03 21:50:24 - mmengine - INFO - Epoch(train) [207][520/1879] lr: 1.0000e-04 eta: 7:24:09 time: 0.2858 data_time: 0.0263 memory: 8198 grad_norm: 7.2108 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0448 loss: 1.0448 2022/08/03 21:50:30 - mmengine - INFO - Epoch(train) [207][540/1879] lr: 1.0000e-04 eta: 7:24:04 time: 0.2871 data_time: 0.0200 memory: 8198 grad_norm: 7.1869 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/08/03 21:50:35 - mmengine - INFO - Epoch(train) [207][560/1879] lr: 1.0000e-04 eta: 7:23:58 time: 0.2882 data_time: 0.0238 memory: 8198 grad_norm: 7.2392 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8102 loss: 0.8102 2022/08/03 21:50:41 - mmengine - INFO - Epoch(train) [207][580/1879] lr: 1.0000e-04 eta: 7:23:52 time: 0.2869 data_time: 0.0233 memory: 8198 grad_norm: 7.0771 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/08/03 21:50:47 - mmengine - INFO - Epoch(train) [207][600/1879] lr: 1.0000e-04 eta: 7:23:47 time: 0.2913 data_time: 0.0221 memory: 8198 grad_norm: 6.9781 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9628 loss: 0.9628 2022/08/03 21:50:53 - mmengine - INFO - Epoch(train) [207][620/1879] lr: 1.0000e-04 eta: 7:23:41 time: 0.2845 data_time: 0.0227 memory: 8198 grad_norm: 7.4036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0336 loss: 1.0336 2022/08/03 21:50:59 - mmengine - INFO - Epoch(train) [207][640/1879] lr: 1.0000e-04 eta: 7:23:35 time: 0.2838 data_time: 0.0245 memory: 8198 grad_norm: 7.1010 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/03 21:51:04 - mmengine - INFO - Epoch(train) [207][660/1879] lr: 1.0000e-04 eta: 7:23:29 time: 0.2870 data_time: 0.0236 memory: 8198 grad_norm: 7.2535 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/08/03 21:51:10 - mmengine - INFO - Epoch(train) [207][680/1879] lr: 1.0000e-04 eta: 7:23:24 time: 0.2878 data_time: 0.0199 memory: 8198 grad_norm: 7.0901 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0150 loss: 1.0150 2022/08/03 21:51:16 - mmengine - INFO - Epoch(train) [207][700/1879] lr: 1.0000e-04 eta: 7:23:18 time: 0.2892 data_time: 0.0271 memory: 8198 grad_norm: 7.2534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9404 loss: 0.9404 2022/08/03 21:51:22 - mmengine - INFO - Epoch(train) [207][720/1879] lr: 1.0000e-04 eta: 7:23:12 time: 0.2848 data_time: 0.0245 memory: 8198 grad_norm: 7.2526 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0850 loss: 1.0850 2022/08/03 21:51:27 - mmengine - INFO - Epoch(train) [207][740/1879] lr: 1.0000e-04 eta: 7:23:07 time: 0.2836 data_time: 0.0204 memory: 8198 grad_norm: 7.2554 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8310 loss: 0.8310 2022/08/03 21:51:33 - mmengine - INFO - Epoch(train) [207][760/1879] lr: 1.0000e-04 eta: 7:23:01 time: 0.2844 data_time: 0.0223 memory: 8198 grad_norm: 7.3788 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1052 loss: 1.1052 2022/08/03 21:51:39 - mmengine - INFO - Epoch(train) [207][780/1879] lr: 1.0000e-04 eta: 7:22:55 time: 0.2980 data_time: 0.0245 memory: 8198 grad_norm: 7.2622 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8884 loss: 0.8884 2022/08/03 21:51:45 - mmengine - INFO - Epoch(train) [207][800/1879] lr: 1.0000e-04 eta: 7:22:50 time: 0.2929 data_time: 0.0201 memory: 8198 grad_norm: 7.2606 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0041 loss: 1.0041 2022/08/03 21:51:51 - mmengine - INFO - Epoch(train) [207][820/1879] lr: 1.0000e-04 eta: 7:22:44 time: 0.2892 data_time: 0.0296 memory: 8198 grad_norm: 7.3926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/03 21:51:57 - mmengine - INFO - Epoch(train) [207][840/1879] lr: 1.0000e-04 eta: 7:22:38 time: 0.2893 data_time: 0.0198 memory: 8198 grad_norm: 7.2512 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0097 loss: 1.0097 2022/08/03 21:52:02 - mmengine - INFO - Epoch(train) [207][860/1879] lr: 1.0000e-04 eta: 7:22:33 time: 0.2836 data_time: 0.0220 memory: 8198 grad_norm: 7.1341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0531 loss: 1.0531 2022/08/03 21:52:08 - mmengine - INFO - Epoch(train) [207][880/1879] lr: 1.0000e-04 eta: 7:22:27 time: 0.2881 data_time: 0.0204 memory: 8198 grad_norm: 7.1525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0823 loss: 1.0823 2022/08/03 21:52:14 - mmengine - INFO - Epoch(train) [207][900/1879] lr: 1.0000e-04 eta: 7:22:21 time: 0.2846 data_time: 0.0223 memory: 8198 grad_norm: 7.1653 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9257 loss: 0.9257 2022/08/03 21:52:20 - mmengine - INFO - Epoch(train) [207][920/1879] lr: 1.0000e-04 eta: 7:22:16 time: 0.2947 data_time: 0.0215 memory: 8198 grad_norm: 6.8794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/08/03 21:52:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:52:25 - mmengine - INFO - Epoch(train) [207][940/1879] lr: 1.0000e-04 eta: 7:22:10 time: 0.2838 data_time: 0.0243 memory: 8198 grad_norm: 7.1932 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8612 loss: 0.8612 2022/08/03 21:52:31 - mmengine - INFO - Epoch(train) [207][960/1879] lr: 1.0000e-04 eta: 7:22:04 time: 0.2879 data_time: 0.0255 memory: 8198 grad_norm: 7.1366 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9968 loss: 0.9968 2022/08/03 21:52:37 - mmengine - INFO - Epoch(train) [207][980/1879] lr: 1.0000e-04 eta: 7:21:59 time: 0.3002 data_time: 0.0203 memory: 8198 grad_norm: 6.9564 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9999 loss: 0.9999 2022/08/03 21:52:43 - mmengine - INFO - Epoch(train) [207][1000/1879] lr: 1.0000e-04 eta: 7:21:53 time: 0.2846 data_time: 0.0230 memory: 8198 grad_norm: 7.2513 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9643 loss: 0.9643 2022/08/03 21:52:49 - mmengine - INFO - Epoch(train) [207][1020/1879] lr: 1.0000e-04 eta: 7:21:47 time: 0.2866 data_time: 0.0247 memory: 8198 grad_norm: 7.0404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/08/03 21:52:55 - mmengine - INFO - Epoch(train) [207][1040/1879] lr: 1.0000e-04 eta: 7:21:41 time: 0.2927 data_time: 0.0274 memory: 8198 grad_norm: 7.0375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8425 loss: 0.8425 2022/08/03 21:53:00 - mmengine - INFO - Epoch(train) [207][1060/1879] lr: 1.0000e-04 eta: 7:21:36 time: 0.2855 data_time: 0.0223 memory: 8198 grad_norm: 7.0266 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8864 loss: 0.8864 2022/08/03 21:53:06 - mmengine - INFO - Epoch(train) [207][1080/1879] lr: 1.0000e-04 eta: 7:21:30 time: 0.2829 data_time: 0.0163 memory: 8198 grad_norm: 7.1947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0494 loss: 1.0494 2022/08/03 21:53:12 - mmengine - INFO - Epoch(train) [207][1100/1879] lr: 1.0000e-04 eta: 7:21:24 time: 0.2887 data_time: 0.0299 memory: 8198 grad_norm: 6.9422 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9365 loss: 0.9365 2022/08/03 21:53:18 - mmengine - INFO - Epoch(train) [207][1120/1879] lr: 1.0000e-04 eta: 7:21:19 time: 0.2884 data_time: 0.0211 memory: 8198 grad_norm: 7.2130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0063 loss: 1.0063 2022/08/03 21:53:23 - mmengine - INFO - Epoch(train) [207][1140/1879] lr: 1.0000e-04 eta: 7:21:13 time: 0.2827 data_time: 0.0178 memory: 8198 grad_norm: 7.1012 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9394 loss: 0.9394 2022/08/03 21:53:29 - mmengine - INFO - Epoch(train) [207][1160/1879] lr: 1.0000e-04 eta: 7:21:07 time: 0.2943 data_time: 0.0227 memory: 8198 grad_norm: 7.2520 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8639 loss: 0.8639 2022/08/03 21:53:35 - mmengine - INFO - Epoch(train) [207][1180/1879] lr: 1.0000e-04 eta: 7:21:02 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 7.0941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8045 loss: 0.8045 2022/08/03 21:53:41 - mmengine - INFO - Epoch(train) [207][1200/1879] lr: 1.0000e-04 eta: 7:20:56 time: 0.2876 data_time: 0.0291 memory: 8198 grad_norm: 7.2942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9260 loss: 0.9260 2022/08/03 21:53:47 - mmengine - INFO - Epoch(train) [207][1220/1879] lr: 1.0000e-04 eta: 7:20:50 time: 0.2959 data_time: 0.0195 memory: 8198 grad_norm: 7.2242 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1163 loss: 1.1163 2022/08/03 21:53:53 - mmengine - INFO - Epoch(train) [207][1240/1879] lr: 1.0000e-04 eta: 7:20:45 time: 0.2911 data_time: 0.0226 memory: 8198 grad_norm: 7.4223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0435 loss: 1.0435 2022/08/03 21:53:58 - mmengine - INFO - Epoch(train) [207][1260/1879] lr: 1.0000e-04 eta: 7:20:39 time: 0.2899 data_time: 0.0222 memory: 8198 grad_norm: 7.0816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8835 loss: 0.8835 2022/08/03 21:54:04 - mmengine - INFO - Epoch(train) [207][1280/1879] lr: 1.0000e-04 eta: 7:20:33 time: 0.2824 data_time: 0.0205 memory: 8198 grad_norm: 7.0900 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9364 loss: 0.9364 2022/08/03 21:54:10 - mmengine - INFO - Epoch(train) [207][1300/1879] lr: 1.0000e-04 eta: 7:20:27 time: 0.2902 data_time: 0.0243 memory: 8198 grad_norm: 7.1253 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/08/03 21:54:16 - mmengine - INFO - Epoch(train) [207][1320/1879] lr: 1.0000e-04 eta: 7:20:22 time: 0.2904 data_time: 0.0216 memory: 8198 grad_norm: 6.9280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/08/03 21:54:22 - mmengine - INFO - Epoch(train) [207][1340/1879] lr: 1.0000e-04 eta: 7:20:16 time: 0.2906 data_time: 0.0214 memory: 8198 grad_norm: 7.4389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9652 loss: 0.9652 2022/08/03 21:54:28 - mmengine - INFO - Epoch(train) [207][1360/1879] lr: 1.0000e-04 eta: 7:20:10 time: 0.3018 data_time: 0.0211 memory: 8198 grad_norm: 7.5266 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1302 loss: 1.1302 2022/08/03 21:54:33 - mmengine - INFO - Epoch(train) [207][1380/1879] lr: 1.0000e-04 eta: 7:20:05 time: 0.2892 data_time: 0.0179 memory: 8198 grad_norm: 7.0112 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/08/03 21:54:39 - mmengine - INFO - Epoch(train) [207][1400/1879] lr: 1.0000e-04 eta: 7:19:59 time: 0.2986 data_time: 0.0256 memory: 8198 grad_norm: 7.3139 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1308 loss: 1.1308 2022/08/03 21:54:45 - mmengine - INFO - Epoch(train) [207][1420/1879] lr: 1.0000e-04 eta: 7:19:53 time: 0.2954 data_time: 0.0248 memory: 8198 grad_norm: 7.2158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8019 loss: 0.8019 2022/08/03 21:54:52 - mmengine - INFO - Epoch(train) [207][1440/1879] lr: 1.0000e-04 eta: 7:19:48 time: 0.3182 data_time: 0.0190 memory: 8198 grad_norm: 7.3313 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8549 loss: 0.8549 2022/08/03 21:54:58 - mmengine - INFO - Epoch(train) [207][1460/1879] lr: 1.0000e-04 eta: 7:19:42 time: 0.3143 data_time: 0.0224 memory: 8198 grad_norm: 7.2748 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0687 loss: 1.0687 2022/08/03 21:55:08 - mmengine - INFO - Epoch(train) [207][1480/1879] lr: 1.0000e-04 eta: 7:19:38 time: 0.5023 data_time: 0.0292 memory: 8198 grad_norm: 7.0980 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9612 loss: 0.9612 2022/08/03 21:55:18 - mmengine - INFO - Epoch(train) [207][1500/1879] lr: 1.0000e-04 eta: 7:19:33 time: 0.5102 data_time: 0.0202 memory: 8198 grad_norm: 7.3160 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0141 loss: 1.0141 2022/08/03 21:55:29 - mmengine - INFO - Epoch(train) [207][1520/1879] lr: 1.0000e-04 eta: 7:19:28 time: 0.5255 data_time: 0.0210 memory: 8198 grad_norm: 7.2681 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7971 loss: 0.7971 2022/08/03 21:55:40 - mmengine - INFO - Epoch(train) [207][1540/1879] lr: 1.0000e-04 eta: 7:19:24 time: 0.5338 data_time: 0.2696 memory: 8198 grad_norm: 7.3702 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9097 loss: 0.9097 2022/08/03 21:55:46 - mmengine - INFO - Epoch(train) [207][1560/1879] lr: 1.0000e-04 eta: 7:19:18 time: 0.3297 data_time: 0.0147 memory: 8198 grad_norm: 7.1030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/08/03 21:55:52 - mmengine - INFO - Epoch(train) [207][1580/1879] lr: 1.0000e-04 eta: 7:19:13 time: 0.2911 data_time: 0.0244 memory: 8198 grad_norm: 7.3011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0479 loss: 1.0479 2022/08/03 21:55:58 - mmengine - INFO - Epoch(train) [207][1600/1879] lr: 1.0000e-04 eta: 7:19:07 time: 0.2922 data_time: 0.0191 memory: 8198 grad_norm: 6.9654 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9493 loss: 0.9493 2022/08/03 21:56:08 - mmengine - INFO - Epoch(train) [207][1620/1879] lr: 1.0000e-04 eta: 7:19:02 time: 0.4973 data_time: 0.0202 memory: 8198 grad_norm: 7.1176 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0133 loss: 1.0133 2022/08/03 21:56:14 - mmengine - INFO - Epoch(train) [207][1640/1879] lr: 1.0000e-04 eta: 7:18:57 time: 0.2869 data_time: 0.0236 memory: 8198 grad_norm: 6.9151 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9471 loss: 0.9471 2022/08/03 21:56:19 - mmengine - INFO - Epoch(train) [207][1660/1879] lr: 1.0000e-04 eta: 7:18:51 time: 0.2874 data_time: 0.0220 memory: 8198 grad_norm: 7.4024 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9542 loss: 0.9542 2022/08/03 21:56:27 - mmengine - INFO - Epoch(train) [207][1680/1879] lr: 1.0000e-04 eta: 7:18:46 time: 0.3753 data_time: 0.0229 memory: 8198 grad_norm: 7.1353 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0011 loss: 1.0011 2022/08/03 21:56:33 - mmengine - INFO - Epoch(train) [207][1700/1879] lr: 1.0000e-04 eta: 7:18:40 time: 0.2813 data_time: 0.0236 memory: 8198 grad_norm: 7.1505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9929 loss: 0.9929 2022/08/03 21:56:38 - mmengine - INFO - Epoch(train) [207][1720/1879] lr: 1.0000e-04 eta: 7:18:34 time: 0.2867 data_time: 0.0256 memory: 8198 grad_norm: 7.0584 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0401 loss: 1.0401 2022/08/03 21:56:48 - mmengine - INFO - Epoch(train) [207][1740/1879] lr: 1.0000e-04 eta: 7:18:30 time: 0.4981 data_time: 0.0189 memory: 8198 grad_norm: 7.3823 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1135 loss: 1.1135 2022/08/03 21:56:59 - mmengine - INFO - Epoch(train) [207][1760/1879] lr: 1.0000e-04 eta: 7:18:25 time: 0.5077 data_time: 0.0234 memory: 8198 grad_norm: 7.0270 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7949 loss: 0.7949 2022/08/03 21:57:04 - mmengine - INFO - Epoch(train) [207][1780/1879] lr: 1.0000e-04 eta: 7:18:19 time: 0.2850 data_time: 0.0253 memory: 8198 grad_norm: 7.3340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0077 loss: 1.0077 2022/08/03 21:57:15 - mmengine - INFO - Epoch(train) [207][1800/1879] lr: 1.0000e-04 eta: 7:18:15 time: 0.5295 data_time: 0.0189 memory: 8198 grad_norm: 7.0962 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/03 21:57:24 - mmengine - INFO - Epoch(train) [207][1820/1879] lr: 1.0000e-04 eta: 7:18:10 time: 0.4721 data_time: 0.0220 memory: 8198 grad_norm: 7.0607 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8679 loss: 0.8679 2022/08/03 21:57:30 - mmengine - INFO - Epoch(train) [207][1840/1879] lr: 1.0000e-04 eta: 7:18:04 time: 0.2890 data_time: 0.0169 memory: 8198 grad_norm: 7.2003 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1102 loss: 1.1102 2022/08/03 21:57:41 - mmengine - INFO - Epoch(train) [207][1860/1879] lr: 1.0000e-04 eta: 7:18:00 time: 0.5345 data_time: 0.0252 memory: 8198 grad_norm: 7.3195 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0810 loss: 1.0810 2022/08/03 21:57:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:57:46 - mmengine - INFO - Epoch(train) [207][1879/1879] lr: 1.0000e-04 eta: 7:18:00 time: 0.2656 data_time: 0.0195 memory: 8198 grad_norm: 7.1031 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9535 loss: 0.9535 2022/08/03 21:57:59 - mmengine - INFO - Epoch(train) [208][20/1879] lr: 1.0000e-04 eta: 7:17:49 time: 0.6542 data_time: 0.1028 memory: 8198 grad_norm: 7.2414 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0092 loss: 1.0092 2022/08/03 21:58:07 - mmengine - INFO - Epoch(train) [208][40/1879] lr: 1.0000e-04 eta: 7:17:44 time: 0.3803 data_time: 0.0248 memory: 8198 grad_norm: 6.9219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8470 loss: 0.8470 2022/08/03 21:58:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 21:58:15 - mmengine - INFO - Epoch(train) [208][60/1879] lr: 1.0000e-04 eta: 7:17:39 time: 0.3901 data_time: 0.0197 memory: 8198 grad_norm: 7.1630 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0349 loss: 1.0349 2022/08/03 21:58:22 - mmengine - INFO - Epoch(train) [208][80/1879] lr: 1.0000e-04 eta: 7:17:33 time: 0.3711 data_time: 0.0223 memory: 8198 grad_norm: 7.2455 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8680 loss: 0.8680 2022/08/03 21:58:29 - mmengine - INFO - Epoch(train) [208][100/1879] lr: 1.0000e-04 eta: 7:17:28 time: 0.3562 data_time: 0.0207 memory: 8198 grad_norm: 7.1803 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9654 loss: 0.9654 2022/08/03 21:58:39 - mmengine - INFO - Epoch(train) [208][120/1879] lr: 1.0000e-04 eta: 7:17:23 time: 0.4742 data_time: 0.0198 memory: 8198 grad_norm: 7.0296 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9299 loss: 0.9299 2022/08/03 21:58:45 - mmengine - INFO - Epoch(train) [208][140/1879] lr: 1.0000e-04 eta: 7:17:17 time: 0.3027 data_time: 0.0249 memory: 8198 grad_norm: 7.3149 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0669 loss: 1.0669 2022/08/03 21:58:51 - mmengine - INFO - Epoch(train) [208][160/1879] lr: 1.0000e-04 eta: 7:17:12 time: 0.2865 data_time: 0.0283 memory: 8198 grad_norm: 7.1330 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9353 loss: 0.9353 2022/08/03 21:59:01 - mmengine - INFO - Epoch(train) [208][180/1879] lr: 1.0000e-04 eta: 7:17:07 time: 0.5233 data_time: 0.0186 memory: 8198 grad_norm: 7.2283 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9562 loss: 0.9562 2022/08/03 21:59:07 - mmengine - INFO - Epoch(train) [208][200/1879] lr: 1.0000e-04 eta: 7:17:01 time: 0.2907 data_time: 0.0243 memory: 8198 grad_norm: 7.2715 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1198 loss: 1.1198 2022/08/03 21:59:13 - mmengine - INFO - Epoch(train) [208][220/1879] lr: 1.0000e-04 eta: 7:16:56 time: 0.3019 data_time: 0.0296 memory: 8198 grad_norm: 7.2752 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8124 loss: 0.8124 2022/08/03 21:59:23 - mmengine - INFO - Epoch(train) [208][240/1879] lr: 1.0000e-04 eta: 7:16:51 time: 0.4963 data_time: 0.0210 memory: 8198 grad_norm: 7.1486 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0240 loss: 1.0240 2022/08/03 21:59:29 - mmengine - INFO - Epoch(train) [208][260/1879] lr: 1.0000e-04 eta: 7:16:45 time: 0.2884 data_time: 0.0211 memory: 8198 grad_norm: 7.2494 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9298 loss: 0.9298 2022/08/03 21:59:38 - mmengine - INFO - Epoch(train) [208][280/1879] lr: 1.0000e-04 eta: 7:16:41 time: 0.4742 data_time: 0.0244 memory: 8198 grad_norm: 7.2184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/08/03 21:59:44 - mmengine - INFO - Epoch(train) [208][300/1879] lr: 1.0000e-04 eta: 7:16:35 time: 0.2828 data_time: 0.0176 memory: 8198 grad_norm: 6.7808 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7984 loss: 0.7984 2022/08/03 21:59:50 - mmengine - INFO - Epoch(train) [208][320/1879] lr: 1.0000e-04 eta: 7:16:29 time: 0.2983 data_time: 0.0261 memory: 8198 grad_norm: 7.2368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0709 loss: 1.0709 2022/08/03 21:59:56 - mmengine - INFO - Epoch(train) [208][340/1879] lr: 1.0000e-04 eta: 7:16:24 time: 0.2878 data_time: 0.0231 memory: 8198 grad_norm: 7.2254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9949 loss: 0.9949 2022/08/03 22:00:06 - mmengine - INFO - Epoch(train) [208][360/1879] lr: 1.0000e-04 eta: 7:16:19 time: 0.4945 data_time: 0.0188 memory: 8198 grad_norm: 7.3358 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/08/03 22:00:16 - mmengine - INFO - Epoch(train) [208][380/1879] lr: 1.0000e-04 eta: 7:16:14 time: 0.5232 data_time: 0.0189 memory: 8198 grad_norm: 7.3492 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/08/03 22:00:25 - mmengine - INFO - Epoch(train) [208][400/1879] lr: 1.0000e-04 eta: 7:16:09 time: 0.4654 data_time: 0.0176 memory: 8198 grad_norm: 7.4456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/08/03 22:00:35 - mmengine - INFO - Epoch(train) [208][420/1879] lr: 1.0000e-04 eta: 7:16:05 time: 0.4918 data_time: 0.0220 memory: 8198 grad_norm: 7.1769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9636 loss: 0.9636 2022/08/03 22:00:41 - mmengine - INFO - Epoch(train) [208][440/1879] lr: 1.0000e-04 eta: 7:15:59 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 7.2868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9583 loss: 0.9583 2022/08/03 22:00:51 - mmengine - INFO - Epoch(train) [208][460/1879] lr: 1.0000e-04 eta: 7:15:54 time: 0.5137 data_time: 0.0205 memory: 8198 grad_norm: 7.2029 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0591 loss: 1.0591 2022/08/03 22:00:57 - mmengine - INFO - Epoch(train) [208][480/1879] lr: 1.0000e-04 eta: 7:15:49 time: 0.2904 data_time: 0.0228 memory: 8198 grad_norm: 7.1713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8897 loss: 0.8897 2022/08/03 22:01:03 - mmengine - INFO - Epoch(train) [208][500/1879] lr: 1.0000e-04 eta: 7:15:43 time: 0.2925 data_time: 0.0241 memory: 8198 grad_norm: 6.9428 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8077 loss: 0.8077 2022/08/03 22:01:09 - mmengine - INFO - Epoch(train) [208][520/1879] lr: 1.0000e-04 eta: 7:15:37 time: 0.2850 data_time: 0.0222 memory: 8198 grad_norm: 7.1856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9256 loss: 0.9256 2022/08/03 22:01:15 - mmengine - INFO - Epoch(train) [208][540/1879] lr: 1.0000e-04 eta: 7:15:31 time: 0.2900 data_time: 0.0227 memory: 8198 grad_norm: 7.0556 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9125 loss: 0.9125 2022/08/03 22:01:21 - mmengine - INFO - Epoch(train) [208][560/1879] lr: 1.0000e-04 eta: 7:15:26 time: 0.2994 data_time: 0.0215 memory: 8198 grad_norm: 6.9372 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8300 loss: 0.8300 2022/08/03 22:01:31 - mmengine - INFO - Epoch(train) [208][580/1879] lr: 1.0000e-04 eta: 7:15:21 time: 0.5013 data_time: 0.0231 memory: 8198 grad_norm: 7.0589 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0731 loss: 1.0731 2022/08/03 22:01:36 - mmengine - INFO - Epoch(train) [208][600/1879] lr: 1.0000e-04 eta: 7:15:15 time: 0.2829 data_time: 0.0189 memory: 8198 grad_norm: 7.4501 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9616 loss: 0.9616 2022/08/03 22:01:42 - mmengine - INFO - Epoch(train) [208][620/1879] lr: 1.0000e-04 eta: 7:15:10 time: 0.2850 data_time: 0.0251 memory: 8198 grad_norm: 7.3012 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9610 loss: 0.9610 2022/08/03 22:01:53 - mmengine - INFO - Epoch(train) [208][640/1879] lr: 1.0000e-04 eta: 7:15:05 time: 0.5541 data_time: 0.0190 memory: 8198 grad_norm: 7.3144 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9279 loss: 0.9279 2022/08/03 22:02:03 - mmengine - INFO - Epoch(train) [208][660/1879] lr: 1.0000e-04 eta: 7:15:01 time: 0.4891 data_time: 0.0227 memory: 8198 grad_norm: 7.1325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8586 loss: 0.8586 2022/08/03 22:02:09 - mmengine - INFO - Epoch(train) [208][680/1879] lr: 1.0000e-04 eta: 7:14:55 time: 0.2860 data_time: 0.0194 memory: 8198 grad_norm: 7.1234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0016 loss: 1.0016 2022/08/03 22:02:19 - mmengine - INFO - Epoch(train) [208][700/1879] lr: 1.0000e-04 eta: 7:14:50 time: 0.5268 data_time: 0.0275 memory: 8198 grad_norm: 7.0153 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0569 loss: 1.0569 2022/08/03 22:02:29 - mmengine - INFO - Epoch(train) [208][720/1879] lr: 1.0000e-04 eta: 7:14:46 time: 0.5000 data_time: 0.0202 memory: 8198 grad_norm: 7.2642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9081 loss: 0.9081 2022/08/03 22:02:40 - mmengine - INFO - Epoch(train) [208][740/1879] lr: 1.0000e-04 eta: 7:14:41 time: 0.5078 data_time: 0.0273 memory: 8198 grad_norm: 7.1486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7305 loss: 0.7305 2022/08/03 22:02:50 - mmengine - INFO - Epoch(train) [208][760/1879] lr: 1.0000e-04 eta: 7:14:36 time: 0.5269 data_time: 0.0193 memory: 8198 grad_norm: 7.0314 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0493 loss: 1.0493 2022/08/03 22:02:56 - mmengine - INFO - Epoch(train) [208][780/1879] lr: 1.0000e-04 eta: 7:14:31 time: 0.2900 data_time: 0.0226 memory: 8198 grad_norm: 7.4390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0418 loss: 1.0418 2022/08/03 22:03:06 - mmengine - INFO - Epoch(train) [208][800/1879] lr: 1.0000e-04 eta: 7:14:26 time: 0.4940 data_time: 0.0221 memory: 8198 grad_norm: 7.2028 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9897 loss: 0.9897 2022/08/03 22:03:15 - mmengine - INFO - Epoch(train) [208][820/1879] lr: 1.0000e-04 eta: 7:14:21 time: 0.4814 data_time: 0.0188 memory: 8198 grad_norm: 7.2265 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0411 loss: 1.0411 2022/08/03 22:03:21 - mmengine - INFO - Epoch(train) [208][840/1879] lr: 1.0000e-04 eta: 7:14:15 time: 0.2873 data_time: 0.0173 memory: 8198 grad_norm: 7.3143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1158 loss: 1.1158 2022/08/03 22:03:27 - mmengine - INFO - Epoch(train) [208][860/1879] lr: 1.0000e-04 eta: 7:14:10 time: 0.2898 data_time: 0.0275 memory: 8198 grad_norm: 7.3780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0212 loss: 1.0212 2022/08/03 22:03:33 - mmengine - INFO - Epoch(train) [208][880/1879] lr: 1.0000e-04 eta: 7:14:04 time: 0.2871 data_time: 0.0235 memory: 8198 grad_norm: 7.3159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9766 loss: 0.9766 2022/08/03 22:03:43 - mmengine - INFO - Epoch(train) [208][900/1879] lr: 1.0000e-04 eta: 7:13:59 time: 0.5188 data_time: 0.0208 memory: 8198 grad_norm: 7.2391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0332 loss: 1.0332 2022/08/03 22:03:53 - mmengine - INFO - Epoch(train) [208][920/1879] lr: 1.0000e-04 eta: 7:13:54 time: 0.4667 data_time: 0.0242 memory: 8198 grad_norm: 7.2602 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/08/03 22:03:58 - mmengine - INFO - Epoch(train) [208][940/1879] lr: 1.0000e-04 eta: 7:13:49 time: 0.2852 data_time: 0.0218 memory: 8198 grad_norm: 7.6425 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1949 loss: 1.1949 2022/08/03 22:04:04 - mmengine - INFO - Epoch(train) [208][960/1879] lr: 1.0000e-04 eta: 7:13:43 time: 0.2884 data_time: 0.0270 memory: 8198 grad_norm: 7.0407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8810 loss: 0.8810 2022/08/03 22:04:14 - mmengine - INFO - Epoch(train) [208][980/1879] lr: 1.0000e-04 eta: 7:13:38 time: 0.4820 data_time: 0.0220 memory: 8198 grad_norm: 6.8843 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8698 loss: 0.8698 2022/08/03 22:04:19 - mmengine - INFO - Epoch(train) [208][1000/1879] lr: 1.0000e-04 eta: 7:13:33 time: 0.2834 data_time: 0.0185 memory: 8198 grad_norm: 7.0916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9659 loss: 0.9659 2022/08/03 22:04:25 - mmengine - INFO - Epoch(train) [208][1020/1879] lr: 1.0000e-04 eta: 7:13:27 time: 0.2936 data_time: 0.0298 memory: 8198 grad_norm: 7.5262 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1573 loss: 1.1573 2022/08/03 22:04:35 - mmengine - INFO - Epoch(train) [208][1040/1879] lr: 1.0000e-04 eta: 7:13:22 time: 0.5038 data_time: 0.0237 memory: 8198 grad_norm: 7.2366 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/08/03 22:04:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:04:41 - mmengine - INFO - Epoch(train) [208][1060/1879] lr: 1.0000e-04 eta: 7:13:17 time: 0.2974 data_time: 0.0338 memory: 8198 grad_norm: 7.2943 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9417 loss: 0.9417 2022/08/03 22:04:47 - mmengine - INFO - Epoch(train) [208][1080/1879] lr: 1.0000e-04 eta: 7:13:11 time: 0.2984 data_time: 0.0237 memory: 8198 grad_norm: 7.1158 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9922 loss: 0.9922 2022/08/03 22:04:57 - mmengine - INFO - Epoch(train) [208][1100/1879] lr: 1.0000e-04 eta: 7:13:06 time: 0.4843 data_time: 0.0197 memory: 8198 grad_norm: 6.9992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/08/03 22:05:03 - mmengine - INFO - Epoch(train) [208][1120/1879] lr: 1.0000e-04 eta: 7:13:00 time: 0.2945 data_time: 0.0227 memory: 8198 grad_norm: 7.0214 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7457 loss: 0.7457 2022/08/03 22:05:14 - mmengine - INFO - Epoch(train) [208][1140/1879] lr: 1.0000e-04 eta: 7:12:56 time: 0.5321 data_time: 0.0220 memory: 8198 grad_norm: 7.3692 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9344 loss: 0.9344 2022/08/03 22:05:20 - mmengine - INFO - Epoch(train) [208][1160/1879] lr: 1.0000e-04 eta: 7:12:50 time: 0.2856 data_time: 0.0194 memory: 8198 grad_norm: 7.0062 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/08/03 22:05:29 - mmengine - INFO - Epoch(train) [208][1180/1879] lr: 1.0000e-04 eta: 7:12:45 time: 0.4907 data_time: 0.0309 memory: 8198 grad_norm: 6.9774 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/08/03 22:05:44 - mmengine - INFO - Epoch(train) [208][1200/1879] lr: 1.0000e-04 eta: 7:12:42 time: 0.7158 data_time: 0.0241 memory: 8198 grad_norm: 6.8062 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8919 loss: 0.8919 2022/08/03 22:05:49 - mmengine - INFO - Epoch(train) [208][1220/1879] lr: 1.0000e-04 eta: 7:12:36 time: 0.2860 data_time: 0.0216 memory: 8198 grad_norm: 7.2351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9840 loss: 0.9840 2022/08/03 22:06:00 - mmengine - INFO - Epoch(train) [208][1240/1879] lr: 1.0000e-04 eta: 7:12:31 time: 0.5176 data_time: 0.2527 memory: 8198 grad_norm: 7.1482 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/08/03 22:06:05 - mmengine - INFO - Epoch(train) [208][1260/1879] lr: 1.0000e-04 eta: 7:12:26 time: 0.2822 data_time: 0.0152 memory: 8198 grad_norm: 7.3183 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1446 loss: 1.1446 2022/08/03 22:06:11 - mmengine - INFO - Epoch(train) [208][1280/1879] lr: 1.0000e-04 eta: 7:12:20 time: 0.2898 data_time: 0.0219 memory: 8198 grad_norm: 6.9722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8167 loss: 0.8167 2022/08/03 22:06:21 - mmengine - INFO - Epoch(train) [208][1300/1879] lr: 1.0000e-04 eta: 7:12:15 time: 0.4932 data_time: 0.0188 memory: 8198 grad_norm: 7.5078 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9358 loss: 0.9358 2022/08/03 22:06:32 - mmengine - INFO - Epoch(train) [208][1320/1879] lr: 1.0000e-04 eta: 7:12:11 time: 0.5422 data_time: 0.0185 memory: 8198 grad_norm: 7.1301 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8807 loss: 0.8807 2022/08/03 22:06:42 - mmengine - INFO - Epoch(train) [208][1340/1879] lr: 1.0000e-04 eta: 7:12:06 time: 0.4979 data_time: 0.0174 memory: 8198 grad_norm: 6.9763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9012 loss: 0.9012 2022/08/03 22:06:48 - mmengine - INFO - Epoch(train) [208][1360/1879] lr: 1.0000e-04 eta: 7:12:00 time: 0.2880 data_time: 0.0214 memory: 8198 grad_norm: 7.2361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9714 loss: 0.9714 2022/08/03 22:06:58 - mmengine - INFO - Epoch(train) [208][1380/1879] lr: 1.0000e-04 eta: 7:11:55 time: 0.4940 data_time: 0.0189 memory: 8198 grad_norm: 7.2273 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8884 loss: 0.8884 2022/08/03 22:07:08 - mmengine - INFO - Epoch(train) [208][1400/1879] lr: 1.0000e-04 eta: 7:11:51 time: 0.5129 data_time: 0.0194 memory: 8198 grad_norm: 7.0802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8540 loss: 0.8540 2022/08/03 22:07:14 - mmengine - INFO - Epoch(train) [208][1420/1879] lr: 1.0000e-04 eta: 7:11:45 time: 0.2814 data_time: 0.0196 memory: 8198 grad_norm: 7.0022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/08/03 22:07:20 - mmengine - INFO - Epoch(train) [208][1440/1879] lr: 1.0000e-04 eta: 7:11:39 time: 0.2966 data_time: 0.0248 memory: 8198 grad_norm: 7.1160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9837 loss: 0.9837 2022/08/03 22:07:27 - mmengine - INFO - Epoch(train) [208][1460/1879] lr: 1.0000e-04 eta: 7:11:34 time: 0.3822 data_time: 0.0199 memory: 8198 grad_norm: 7.1953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1009 loss: 1.1009 2022/08/03 22:07:33 - mmengine - INFO - Epoch(train) [208][1480/1879] lr: 1.0000e-04 eta: 7:11:28 time: 0.2909 data_time: 0.0189 memory: 8198 grad_norm: 6.8994 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9380 loss: 0.9380 2022/08/03 22:07:41 - mmengine - INFO - Epoch(train) [208][1500/1879] lr: 1.0000e-04 eta: 7:11:23 time: 0.3975 data_time: 0.0483 memory: 8198 grad_norm: 7.1345 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/03 22:07:49 - mmengine - INFO - Epoch(train) [208][1520/1879] lr: 1.0000e-04 eta: 7:11:18 time: 0.3872 data_time: 0.0153 memory: 8198 grad_norm: 6.9103 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7562 loss: 0.7562 2022/08/03 22:07:55 - mmengine - INFO - Epoch(train) [208][1540/1879] lr: 1.0000e-04 eta: 7:11:12 time: 0.3064 data_time: 0.0187 memory: 8198 grad_norm: 7.1489 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9385 loss: 0.9385 2022/08/03 22:08:01 - mmengine - INFO - Epoch(train) [208][1560/1879] lr: 1.0000e-04 eta: 7:11:07 time: 0.2885 data_time: 0.0209 memory: 8198 grad_norm: 7.3062 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9251 loss: 0.9251 2022/08/03 22:08:09 - mmengine - INFO - Epoch(train) [208][1580/1879] lr: 1.0000e-04 eta: 7:11:01 time: 0.4084 data_time: 0.0264 memory: 8198 grad_norm: 7.3242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1628 loss: 1.1628 2022/08/03 22:08:17 - mmengine - INFO - Epoch(train) [208][1600/1879] lr: 1.0000e-04 eta: 7:10:56 time: 0.4133 data_time: 0.0218 memory: 8198 grad_norm: 7.1574 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9180 loss: 0.9180 2022/08/03 22:08:23 - mmengine - INFO - Epoch(train) [208][1620/1879] lr: 1.0000e-04 eta: 7:10:51 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 7.2903 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0307 loss: 1.0307 2022/08/03 22:08:29 - mmengine - INFO - Epoch(train) [208][1640/1879] lr: 1.0000e-04 eta: 7:10:45 time: 0.2865 data_time: 0.0227 memory: 8198 grad_norm: 7.0024 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9325 loss: 0.9325 2022/08/03 22:08:35 - mmengine - INFO - Epoch(train) [208][1660/1879] lr: 1.0000e-04 eta: 7:10:39 time: 0.2917 data_time: 0.0209 memory: 8198 grad_norm: 7.1596 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9420 loss: 0.9420 2022/08/03 22:08:41 - mmengine - INFO - Epoch(train) [208][1680/1879] lr: 1.0000e-04 eta: 7:10:34 time: 0.2904 data_time: 0.0185 memory: 8198 grad_norm: 7.1754 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9762 loss: 0.9762 2022/08/03 22:08:48 - mmengine - INFO - Epoch(train) [208][1700/1879] lr: 1.0000e-04 eta: 7:10:28 time: 0.3694 data_time: 0.0193 memory: 8198 grad_norm: 7.4977 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0256 loss: 1.0256 2022/08/03 22:08:54 - mmengine - INFO - Epoch(train) [208][1720/1879] lr: 1.0000e-04 eta: 7:10:22 time: 0.2849 data_time: 0.0186 memory: 8198 grad_norm: 7.4650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9269 loss: 0.9269 2022/08/03 22:09:00 - mmengine - INFO - Epoch(train) [208][1740/1879] lr: 1.0000e-04 eta: 7:10:17 time: 0.2992 data_time: 0.0256 memory: 8198 grad_norm: 7.3785 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/08/03 22:09:08 - mmengine - INFO - Epoch(train) [208][1760/1879] lr: 1.0000e-04 eta: 7:10:12 time: 0.3955 data_time: 0.0177 memory: 8198 grad_norm: 7.1486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8464 loss: 0.8464 2022/08/03 22:09:13 - mmengine - INFO - Epoch(train) [208][1780/1879] lr: 1.0000e-04 eta: 7:10:06 time: 0.2879 data_time: 0.0208 memory: 8198 grad_norm: 7.2664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0088 loss: 1.0088 2022/08/03 22:09:21 - mmengine - INFO - Epoch(train) [208][1800/1879] lr: 1.0000e-04 eta: 7:10:01 time: 0.3967 data_time: 0.0200 memory: 8198 grad_norm: 7.1988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/08/03 22:09:27 - mmengine - INFO - Epoch(train) [208][1820/1879] lr: 1.0000e-04 eta: 7:09:55 time: 0.2873 data_time: 0.0201 memory: 8198 grad_norm: 6.9743 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/08/03 22:09:35 - mmengine - INFO - Epoch(train) [208][1840/1879] lr: 1.0000e-04 eta: 7:09:50 time: 0.3770 data_time: 0.1117 memory: 8198 grad_norm: 7.0656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8074 loss: 0.8074 2022/08/03 22:09:41 - mmengine - INFO - Epoch(train) [208][1860/1879] lr: 1.0000e-04 eta: 7:09:44 time: 0.2921 data_time: 0.0187 memory: 8198 grad_norm: 7.2751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0924 loss: 1.0924 2022/08/03 22:09:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:09:48 - mmengine - INFO - Epoch(train) [208][1879/1879] lr: 1.0000e-04 eta: 7:09:44 time: 0.3732 data_time: 0.1139 memory: 8198 grad_norm: 7.3883 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9163 loss: 0.9163 2022/08/03 22:09:48 - mmengine - INFO - Saving checkpoint at 208 epochs 2022/08/03 22:09:58 - mmengine - INFO - Epoch(train) [209][20/1879] lr: 1.0000e-04 eta: 7:09:32 time: 0.3690 data_time: 0.1079 memory: 8198 grad_norm: 7.0535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8758 loss: 0.8758 2022/08/03 22:10:04 - mmengine - INFO - Epoch(train) [209][40/1879] lr: 1.0000e-04 eta: 7:09:26 time: 0.2907 data_time: 0.0271 memory: 8198 grad_norm: 7.2465 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0402 loss: 1.0402 2022/08/03 22:10:10 - mmengine - INFO - Epoch(train) [209][60/1879] lr: 1.0000e-04 eta: 7:09:21 time: 0.2912 data_time: 0.0192 memory: 8198 grad_norm: 7.2942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/08/03 22:10:16 - mmengine - INFO - Epoch(train) [209][80/1879] lr: 1.0000e-04 eta: 7:09:15 time: 0.2888 data_time: 0.0217 memory: 8198 grad_norm: 7.4132 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/08/03 22:10:21 - mmengine - INFO - Epoch(train) [209][100/1879] lr: 1.0000e-04 eta: 7:09:09 time: 0.2836 data_time: 0.0194 memory: 8198 grad_norm: 7.2895 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9519 loss: 0.9519 2022/08/03 22:10:27 - mmengine - INFO - Epoch(train) [209][120/1879] lr: 1.0000e-04 eta: 7:09:04 time: 0.2902 data_time: 0.0243 memory: 8198 grad_norm: 7.2670 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0568 loss: 1.0568 2022/08/03 22:10:33 - mmengine - INFO - Epoch(train) [209][140/1879] lr: 1.0000e-04 eta: 7:08:58 time: 0.2837 data_time: 0.0177 memory: 8198 grad_norm: 6.9966 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0197 loss: 1.0197 2022/08/03 22:10:41 - mmengine - INFO - Epoch(train) [209][160/1879] lr: 1.0000e-04 eta: 7:08:53 time: 0.3934 data_time: 0.0176 memory: 8198 grad_norm: 7.4346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8817 loss: 0.8817 2022/08/03 22:10:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:10:46 - mmengine - INFO - Epoch(train) [209][180/1879] lr: 1.0000e-04 eta: 7:08:47 time: 0.2870 data_time: 0.0181 memory: 8198 grad_norm: 7.1334 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1720 loss: 1.1720 2022/08/03 22:10:52 - mmengine - INFO - Epoch(train) [209][200/1879] lr: 1.0000e-04 eta: 7:08:41 time: 0.2892 data_time: 0.0205 memory: 8198 grad_norm: 7.2996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0207 loss: 1.0207 2022/08/03 22:10:58 - mmengine - INFO - Epoch(train) [209][220/1879] lr: 1.0000e-04 eta: 7:08:35 time: 0.2861 data_time: 0.0238 memory: 8198 grad_norm: 7.2606 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9462 loss: 0.9462 2022/08/03 22:11:04 - mmengine - INFO - Epoch(train) [209][240/1879] lr: 1.0000e-04 eta: 7:08:30 time: 0.2885 data_time: 0.0209 memory: 8198 grad_norm: 7.2642 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9251 loss: 0.9251 2022/08/03 22:11:10 - mmengine - INFO - Epoch(train) [209][260/1879] lr: 1.0000e-04 eta: 7:08:24 time: 0.2865 data_time: 0.0176 memory: 8198 grad_norm: 7.1712 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9997 loss: 0.9997 2022/08/03 22:11:15 - mmengine - INFO - Epoch(train) [209][280/1879] lr: 1.0000e-04 eta: 7:08:18 time: 0.2876 data_time: 0.0233 memory: 8198 grad_norm: 7.3245 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1468 loss: 1.1468 2022/08/03 22:11:21 - mmengine - INFO - Epoch(train) [209][300/1879] lr: 1.0000e-04 eta: 7:08:13 time: 0.2879 data_time: 0.0230 memory: 8198 grad_norm: 7.2131 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9457 loss: 0.9457 2022/08/03 22:11:27 - mmengine - INFO - Epoch(train) [209][320/1879] lr: 1.0000e-04 eta: 7:08:07 time: 0.2884 data_time: 0.0214 memory: 8198 grad_norm: 7.2672 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9220 loss: 0.9220 2022/08/03 22:11:33 - mmengine - INFO - Epoch(train) [209][340/1879] lr: 1.0000e-04 eta: 7:08:01 time: 0.2847 data_time: 0.0214 memory: 8198 grad_norm: 7.4989 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9698 loss: 0.9698 2022/08/03 22:11:38 - mmengine - INFO - Epoch(train) [209][360/1879] lr: 1.0000e-04 eta: 7:07:55 time: 0.2843 data_time: 0.0189 memory: 8198 grad_norm: 7.2148 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7623 loss: 0.7623 2022/08/03 22:11:44 - mmengine - INFO - Epoch(train) [209][380/1879] lr: 1.0000e-04 eta: 7:07:50 time: 0.2876 data_time: 0.0239 memory: 8198 grad_norm: 7.2865 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0517 loss: 1.0517 2022/08/03 22:11:50 - mmengine - INFO - Epoch(train) [209][400/1879] lr: 1.0000e-04 eta: 7:07:44 time: 0.2976 data_time: 0.0208 memory: 8198 grad_norm: 7.2222 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8050 loss: 0.8050 2022/08/03 22:11:56 - mmengine - INFO - Epoch(train) [209][420/1879] lr: 1.0000e-04 eta: 7:07:38 time: 0.2832 data_time: 0.0213 memory: 8198 grad_norm: 7.0023 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9117 loss: 0.9117 2022/08/03 22:12:02 - mmengine - INFO - Epoch(train) [209][440/1879] lr: 1.0000e-04 eta: 7:07:33 time: 0.2873 data_time: 0.0238 memory: 8198 grad_norm: 7.2952 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9366 loss: 0.9366 2022/08/03 22:12:08 - mmengine - INFO - Epoch(train) [209][460/1879] lr: 1.0000e-04 eta: 7:07:27 time: 0.3073 data_time: 0.0244 memory: 8198 grad_norm: 7.0231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/08/03 22:12:14 - mmengine - INFO - Epoch(train) [209][480/1879] lr: 1.0000e-04 eta: 7:07:21 time: 0.2849 data_time: 0.0270 memory: 8198 grad_norm: 7.1563 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9150 loss: 0.9150 2022/08/03 22:12:19 - mmengine - INFO - Epoch(train) [209][500/1879] lr: 1.0000e-04 eta: 7:07:16 time: 0.2847 data_time: 0.0180 memory: 8198 grad_norm: 7.1216 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0164 loss: 1.0164 2022/08/03 22:12:25 - mmengine - INFO - Epoch(train) [209][520/1879] lr: 1.0000e-04 eta: 7:07:10 time: 0.2914 data_time: 0.0220 memory: 8198 grad_norm: 7.1480 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0650 loss: 1.0650 2022/08/03 22:12:31 - mmengine - INFO - Epoch(train) [209][540/1879] lr: 1.0000e-04 eta: 7:07:04 time: 0.3071 data_time: 0.0182 memory: 8198 grad_norm: 7.4489 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9230 loss: 0.9230 2022/08/03 22:12:37 - mmengine - INFO - Epoch(train) [209][560/1879] lr: 1.0000e-04 eta: 7:06:59 time: 0.2812 data_time: 0.0204 memory: 8198 grad_norm: 7.0985 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8536 loss: 0.8536 2022/08/03 22:12:43 - mmengine - INFO - Epoch(train) [209][580/1879] lr: 1.0000e-04 eta: 7:06:53 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 7.4464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/08/03 22:12:49 - mmengine - INFO - Epoch(train) [209][600/1879] lr: 1.0000e-04 eta: 7:06:47 time: 0.2896 data_time: 0.0240 memory: 8198 grad_norm: 7.2849 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8787 loss: 0.8787 2022/08/03 22:12:54 - mmengine - INFO - Epoch(train) [209][620/1879] lr: 1.0000e-04 eta: 7:06:41 time: 0.2878 data_time: 0.0219 memory: 8198 grad_norm: 7.3367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0328 loss: 1.0328 2022/08/03 22:13:00 - mmengine - INFO - Epoch(train) [209][640/1879] lr: 1.0000e-04 eta: 7:06:36 time: 0.2862 data_time: 0.0180 memory: 8198 grad_norm: 7.5628 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1389 loss: 1.1389 2022/08/03 22:13:06 - mmengine - INFO - Epoch(train) [209][660/1879] lr: 1.0000e-04 eta: 7:06:30 time: 0.2876 data_time: 0.0219 memory: 8198 grad_norm: 7.0078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8994 loss: 0.8994 2022/08/03 22:13:12 - mmengine - INFO - Epoch(train) [209][680/1879] lr: 1.0000e-04 eta: 7:06:24 time: 0.2956 data_time: 0.0214 memory: 8198 grad_norm: 7.2929 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9476 loss: 0.9476 2022/08/03 22:13:18 - mmengine - INFO - Epoch(train) [209][700/1879] lr: 1.0000e-04 eta: 7:06:19 time: 0.2865 data_time: 0.0191 memory: 8198 grad_norm: 6.9378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9851 loss: 0.9851 2022/08/03 22:13:23 - mmengine - INFO - Epoch(train) [209][720/1879] lr: 1.0000e-04 eta: 7:06:13 time: 0.2921 data_time: 0.0221 memory: 8198 grad_norm: 7.4084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9726 loss: 0.9726 2022/08/03 22:13:29 - mmengine - INFO - Epoch(train) [209][740/1879] lr: 1.0000e-04 eta: 7:06:07 time: 0.2857 data_time: 0.0245 memory: 8198 grad_norm: 7.2388 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0073 loss: 1.0073 2022/08/03 22:13:35 - mmengine - INFO - Epoch(train) [209][760/1879] lr: 1.0000e-04 eta: 7:06:02 time: 0.2901 data_time: 0.0228 memory: 8198 grad_norm: 7.3030 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9516 loss: 0.9516 2022/08/03 22:13:41 - mmengine - INFO - Epoch(train) [209][780/1879] lr: 1.0000e-04 eta: 7:05:56 time: 0.2967 data_time: 0.0218 memory: 8198 grad_norm: 7.2441 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0128 loss: 1.0128 2022/08/03 22:13:47 - mmengine - INFO - Epoch(train) [209][800/1879] lr: 1.0000e-04 eta: 7:05:50 time: 0.2906 data_time: 0.0237 memory: 8198 grad_norm: 7.2266 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0394 loss: 1.0394 2022/08/03 22:13:53 - mmengine - INFO - Epoch(train) [209][820/1879] lr: 1.0000e-04 eta: 7:05:44 time: 0.2897 data_time: 0.0218 memory: 8198 grad_norm: 6.8922 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9174 loss: 0.9174 2022/08/03 22:13:58 - mmengine - INFO - Epoch(train) [209][840/1879] lr: 1.0000e-04 eta: 7:05:39 time: 0.2894 data_time: 0.0267 memory: 8198 grad_norm: 7.0706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8382 loss: 0.8382 2022/08/03 22:14:04 - mmengine - INFO - Epoch(train) [209][860/1879] lr: 1.0000e-04 eta: 7:05:33 time: 0.2845 data_time: 0.0193 memory: 8198 grad_norm: 7.4734 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/03 22:14:10 - mmengine - INFO - Epoch(train) [209][880/1879] lr: 1.0000e-04 eta: 7:05:27 time: 0.3000 data_time: 0.0202 memory: 8198 grad_norm: 7.0730 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7769 loss: 0.7769 2022/08/03 22:14:16 - mmengine - INFO - Epoch(train) [209][900/1879] lr: 1.0000e-04 eta: 7:05:22 time: 0.2852 data_time: 0.0226 memory: 8198 grad_norm: 6.9786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8513 loss: 0.8513 2022/08/03 22:14:22 - mmengine - INFO - Epoch(train) [209][920/1879] lr: 1.0000e-04 eta: 7:05:16 time: 0.2909 data_time: 0.0253 memory: 8198 grad_norm: 7.2005 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9655 loss: 0.9655 2022/08/03 22:14:28 - mmengine - INFO - Epoch(train) [209][940/1879] lr: 1.0000e-04 eta: 7:05:10 time: 0.3035 data_time: 0.0294 memory: 8198 grad_norm: 7.3370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9057 loss: 0.9057 2022/08/03 22:14:34 - mmengine - INFO - Epoch(train) [209][960/1879] lr: 1.0000e-04 eta: 7:05:05 time: 0.2840 data_time: 0.0219 memory: 8198 grad_norm: 7.1453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/08/03 22:14:39 - mmengine - INFO - Epoch(train) [209][980/1879] lr: 1.0000e-04 eta: 7:04:59 time: 0.2890 data_time: 0.0207 memory: 8198 grad_norm: 7.3641 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0620 loss: 1.0620 2022/08/03 22:14:45 - mmengine - INFO - Epoch(train) [209][1000/1879] lr: 1.0000e-04 eta: 7:04:53 time: 0.2833 data_time: 0.0210 memory: 8198 grad_norm: 7.1019 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8879 loss: 0.8879 2022/08/03 22:14:51 - mmengine - INFO - Epoch(train) [209][1020/1879] lr: 1.0000e-04 eta: 7:04:48 time: 0.2974 data_time: 0.0193 memory: 8198 grad_norm: 7.2313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7674 loss: 0.7674 2022/08/03 22:14:57 - mmengine - INFO - Epoch(train) [209][1040/1879] lr: 1.0000e-04 eta: 7:04:42 time: 0.2838 data_time: 0.0206 memory: 8198 grad_norm: 7.1452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9507 loss: 0.9507 2022/08/03 22:15:03 - mmengine - INFO - Epoch(train) [209][1060/1879] lr: 1.0000e-04 eta: 7:04:36 time: 0.2942 data_time: 0.0334 memory: 8198 grad_norm: 7.2620 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8958 loss: 0.8958 2022/08/03 22:15:08 - mmengine - INFO - Epoch(train) [209][1080/1879] lr: 1.0000e-04 eta: 7:04:30 time: 0.2872 data_time: 0.0246 memory: 8198 grad_norm: 6.7606 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7482 loss: 0.7482 2022/08/03 22:15:14 - mmengine - INFO - Epoch(train) [209][1100/1879] lr: 1.0000e-04 eta: 7:04:25 time: 0.2820 data_time: 0.0174 memory: 8198 grad_norm: 7.3432 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2052 loss: 1.2052 2022/08/03 22:15:24 - mmengine - INFO - Epoch(train) [209][1120/1879] lr: 1.0000e-04 eta: 7:04:20 time: 0.5162 data_time: 0.0362 memory: 8198 grad_norm: 7.1656 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9047 loss: 0.9047 2022/08/03 22:15:30 - mmengine - INFO - Epoch(train) [209][1140/1879] lr: 1.0000e-04 eta: 7:04:14 time: 0.2822 data_time: 0.0253 memory: 8198 grad_norm: 7.2383 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9871 loss: 0.9871 2022/08/03 22:15:40 - mmengine - INFO - Epoch(train) [209][1160/1879] lr: 1.0000e-04 eta: 7:04:09 time: 0.4882 data_time: 0.0198 memory: 8198 grad_norm: 7.2556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/08/03 22:15:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:15:46 - mmengine - INFO - Epoch(train) [209][1180/1879] lr: 1.0000e-04 eta: 7:04:04 time: 0.2854 data_time: 0.0239 memory: 8198 grad_norm: 7.3554 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0302 loss: 1.0302 2022/08/03 22:15:51 - mmengine - INFO - Epoch(train) [209][1200/1879] lr: 1.0000e-04 eta: 7:03:58 time: 0.2832 data_time: 0.0207 memory: 8198 grad_norm: 7.1325 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0096 loss: 1.0096 2022/08/03 22:15:57 - mmengine - INFO - Epoch(train) [209][1220/1879] lr: 1.0000e-04 eta: 7:03:52 time: 0.2908 data_time: 0.0236 memory: 8198 grad_norm: 7.0811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9547 loss: 0.9547 2022/08/03 22:16:03 - mmengine - INFO - Epoch(train) [209][1240/1879] lr: 1.0000e-04 eta: 7:03:47 time: 0.2882 data_time: 0.0205 memory: 8198 grad_norm: 7.5008 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1467 loss: 1.1467 2022/08/03 22:16:09 - mmengine - INFO - Epoch(train) [209][1260/1879] lr: 1.0000e-04 eta: 7:03:41 time: 0.2864 data_time: 0.0188 memory: 8198 grad_norm: 7.0959 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/08/03 22:16:15 - mmengine - INFO - Epoch(train) [209][1280/1879] lr: 1.0000e-04 eta: 7:03:35 time: 0.2874 data_time: 0.0207 memory: 8198 grad_norm: 7.2324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8621 loss: 0.8621 2022/08/03 22:16:20 - mmengine - INFO - Epoch(train) [209][1300/1879] lr: 1.0000e-04 eta: 7:03:29 time: 0.2886 data_time: 0.0222 memory: 8198 grad_norm: 7.3008 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0212 loss: 1.0212 2022/08/03 22:16:26 - mmengine - INFO - Epoch(train) [209][1320/1879] lr: 1.0000e-04 eta: 7:03:24 time: 0.2857 data_time: 0.0184 memory: 8198 grad_norm: 7.4336 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9772 loss: 0.9772 2022/08/03 22:16:32 - mmengine - INFO - Epoch(train) [209][1340/1879] lr: 1.0000e-04 eta: 7:03:18 time: 0.2976 data_time: 0.0238 memory: 8198 grad_norm: 7.7435 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1733 loss: 1.1733 2022/08/03 22:16:38 - mmengine - INFO - Epoch(train) [209][1360/1879] lr: 1.0000e-04 eta: 7:03:12 time: 0.2853 data_time: 0.0189 memory: 8198 grad_norm: 7.3865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9266 loss: 0.9266 2022/08/03 22:16:44 - mmengine - INFO - Epoch(train) [209][1380/1879] lr: 1.0000e-04 eta: 7:03:07 time: 0.2867 data_time: 0.0217 memory: 8198 grad_norm: 7.3273 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9773 loss: 0.9773 2022/08/03 22:16:49 - mmengine - INFO - Epoch(train) [209][1400/1879] lr: 1.0000e-04 eta: 7:03:01 time: 0.2924 data_time: 0.0214 memory: 8198 grad_norm: 7.1415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9115 loss: 0.9115 2022/08/03 22:16:55 - mmengine - INFO - Epoch(train) [209][1420/1879] lr: 1.0000e-04 eta: 7:02:55 time: 0.2897 data_time: 0.0242 memory: 8198 grad_norm: 7.2931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8990 loss: 0.8990 2022/08/03 22:17:01 - mmengine - INFO - Epoch(train) [209][1440/1879] lr: 1.0000e-04 eta: 7:02:50 time: 0.2898 data_time: 0.0248 memory: 8198 grad_norm: 7.1242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9826 loss: 0.9826 2022/08/03 22:17:07 - mmengine - INFO - Epoch(train) [209][1460/1879] lr: 1.0000e-04 eta: 7:02:44 time: 0.2861 data_time: 0.0235 memory: 8198 grad_norm: 7.3463 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0882 loss: 1.0882 2022/08/03 22:17:17 - mmengine - INFO - Epoch(train) [209][1480/1879] lr: 1.0000e-04 eta: 7:02:39 time: 0.5033 data_time: 0.0239 memory: 8198 grad_norm: 7.1435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0132 loss: 1.0132 2022/08/03 22:17:23 - mmengine - INFO - Epoch(train) [209][1500/1879] lr: 1.0000e-04 eta: 7:02:33 time: 0.2901 data_time: 0.0240 memory: 8198 grad_norm: 7.3287 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0269 loss: 1.0269 2022/08/03 22:17:28 - mmengine - INFO - Epoch(train) [209][1520/1879] lr: 1.0000e-04 eta: 7:02:28 time: 0.2869 data_time: 0.0178 memory: 8198 grad_norm: 7.4535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/03 22:17:37 - mmengine - INFO - Epoch(train) [209][1540/1879] lr: 1.0000e-04 eta: 7:02:23 time: 0.4202 data_time: 0.0329 memory: 8198 grad_norm: 7.2415 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9534 loss: 0.9534 2022/08/03 22:17:43 - mmengine - INFO - Epoch(train) [209][1560/1879] lr: 1.0000e-04 eta: 7:02:17 time: 0.2973 data_time: 0.0262 memory: 8198 grad_norm: 7.2148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7778 loss: 0.7778 2022/08/03 22:17:49 - mmengine - INFO - Epoch(train) [209][1580/1879] lr: 1.0000e-04 eta: 7:02:11 time: 0.2913 data_time: 0.0241 memory: 8198 grad_norm: 7.2805 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9820 loss: 0.9820 2022/08/03 22:17:59 - mmengine - INFO - Epoch(train) [209][1600/1879] lr: 1.0000e-04 eta: 7:02:07 time: 0.5200 data_time: 0.0245 memory: 8198 grad_norm: 7.1728 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1053 loss: 1.1053 2022/08/03 22:18:05 - mmengine - INFO - Epoch(train) [209][1620/1879] lr: 1.0000e-04 eta: 7:02:01 time: 0.2851 data_time: 0.0214 memory: 8198 grad_norm: 7.0950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9505 loss: 0.9505 2022/08/03 22:18:11 - mmengine - INFO - Epoch(train) [209][1640/1879] lr: 1.0000e-04 eta: 7:01:55 time: 0.2913 data_time: 0.0189 memory: 8198 grad_norm: 7.5557 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/08/03 22:18:17 - mmengine - INFO - Epoch(train) [209][1660/1879] lr: 1.0000e-04 eta: 7:01:49 time: 0.2883 data_time: 0.0283 memory: 8198 grad_norm: 7.0078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9451 loss: 0.9451 2022/08/03 22:18:22 - mmengine - INFO - Epoch(train) [209][1680/1879] lr: 1.0000e-04 eta: 7:01:44 time: 0.2901 data_time: 0.0175 memory: 8198 grad_norm: 7.0624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0719 loss: 1.0719 2022/08/03 22:18:28 - mmengine - INFO - Epoch(train) [209][1700/1879] lr: 1.0000e-04 eta: 7:01:38 time: 0.2896 data_time: 0.0248 memory: 8198 grad_norm: 6.9065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8989 loss: 0.8989 2022/08/03 22:18:34 - mmengine - INFO - Epoch(train) [209][1720/1879] lr: 1.0000e-04 eta: 7:01:32 time: 0.2869 data_time: 0.0222 memory: 8198 grad_norm: 7.0421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8642 loss: 0.8642 2022/08/03 22:18:40 - mmengine - INFO - Epoch(train) [209][1740/1879] lr: 1.0000e-04 eta: 7:01:27 time: 0.2890 data_time: 0.0238 memory: 8198 grad_norm: 6.8859 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7928 loss: 0.7928 2022/08/03 22:18:46 - mmengine - INFO - Epoch(train) [209][1760/1879] lr: 1.0000e-04 eta: 7:01:21 time: 0.2877 data_time: 0.0211 memory: 8198 grad_norm: 7.4010 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8370 loss: 0.8370 2022/08/03 22:18:52 - mmengine - INFO - Epoch(train) [209][1780/1879] lr: 1.0000e-04 eta: 7:01:15 time: 0.3041 data_time: 0.0276 memory: 8198 grad_norm: 7.1984 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9278 loss: 0.9278 2022/08/03 22:18:57 - mmengine - INFO - Epoch(train) [209][1800/1879] lr: 1.0000e-04 eta: 7:01:10 time: 0.2830 data_time: 0.0214 memory: 8198 grad_norm: 7.1098 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9354 loss: 0.9354 2022/08/03 22:19:03 - mmengine - INFO - Epoch(train) [209][1820/1879] lr: 1.0000e-04 eta: 7:01:04 time: 0.2913 data_time: 0.0227 memory: 8198 grad_norm: 7.1415 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/03 22:19:13 - mmengine - INFO - Epoch(train) [209][1840/1879] lr: 1.0000e-04 eta: 7:00:59 time: 0.4975 data_time: 0.0177 memory: 8198 grad_norm: 7.3359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9858 loss: 0.9858 2022/08/03 22:19:19 - mmengine - INFO - Epoch(train) [209][1860/1879] lr: 1.0000e-04 eta: 7:00:53 time: 0.2863 data_time: 0.0230 memory: 8198 grad_norm: 7.1400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8042 loss: 0.8042 2022/08/03 22:19:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:19:24 - mmengine - INFO - Epoch(train) [209][1879/1879] lr: 1.0000e-04 eta: 7:00:53 time: 0.2600 data_time: 0.0153 memory: 8198 grad_norm: 7.3817 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8888 loss: 0.8888 2022/08/03 22:19:32 - mmengine - INFO - Epoch(train) [210][20/1879] lr: 1.0000e-04 eta: 7:00:42 time: 0.4085 data_time: 0.0925 memory: 8198 grad_norm: 7.0432 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0268 loss: 1.0268 2022/08/03 22:19:40 - mmengine - INFO - Epoch(train) [210][40/1879] lr: 1.0000e-04 eta: 7:00:36 time: 0.3974 data_time: 0.0842 memory: 8198 grad_norm: 7.1058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/08/03 22:19:46 - mmengine - INFO - Epoch(train) [210][60/1879] lr: 1.0000e-04 eta: 7:00:31 time: 0.2848 data_time: 0.0217 memory: 8198 grad_norm: 7.1259 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9841 loss: 0.9841 2022/08/03 22:19:52 - mmengine - INFO - Epoch(train) [210][80/1879] lr: 1.0000e-04 eta: 7:00:25 time: 0.2868 data_time: 0.0222 memory: 8198 grad_norm: 7.1035 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7997 loss: 0.7997 2022/08/03 22:19:57 - mmengine - INFO - Epoch(train) [210][100/1879] lr: 1.0000e-04 eta: 7:00:19 time: 0.2866 data_time: 0.0198 memory: 8198 grad_norm: 6.9126 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8867 loss: 0.8867 2022/08/03 22:20:03 - mmengine - INFO - Epoch(train) [210][120/1879] lr: 1.0000e-04 eta: 7:00:14 time: 0.2897 data_time: 0.0202 memory: 8198 grad_norm: 7.4480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9321 loss: 0.9321 2022/08/03 22:20:09 - mmengine - INFO - Epoch(train) [210][140/1879] lr: 1.0000e-04 eta: 7:00:08 time: 0.2877 data_time: 0.0261 memory: 8198 grad_norm: 7.3024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0141 loss: 1.0141 2022/08/03 22:20:15 - mmengine - INFO - Epoch(train) [210][160/1879] lr: 1.0000e-04 eta: 7:00:02 time: 0.2848 data_time: 0.0190 memory: 8198 grad_norm: 7.2539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9636 loss: 0.9636 2022/08/03 22:20:21 - mmengine - INFO - Epoch(train) [210][180/1879] lr: 1.0000e-04 eta: 6:59:56 time: 0.2897 data_time: 0.0248 memory: 8198 grad_norm: 7.0211 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0234 loss: 1.0234 2022/08/03 22:20:26 - mmengine - INFO - Epoch(train) [210][200/1879] lr: 1.0000e-04 eta: 6:59:51 time: 0.2840 data_time: 0.0181 memory: 8198 grad_norm: 7.3062 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8526 loss: 0.8526 2022/08/03 22:20:32 - mmengine - INFO - Epoch(train) [210][220/1879] lr: 1.0000e-04 eta: 6:59:45 time: 0.2929 data_time: 0.0235 memory: 8198 grad_norm: 7.1211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0530 loss: 1.0530 2022/08/03 22:20:38 - mmengine - INFO - Epoch(train) [210][240/1879] lr: 1.0000e-04 eta: 6:59:39 time: 0.3012 data_time: 0.0219 memory: 8198 grad_norm: 7.1579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0073 loss: 1.0073 2022/08/03 22:20:44 - mmengine - INFO - Epoch(train) [210][260/1879] lr: 1.0000e-04 eta: 6:59:34 time: 0.2840 data_time: 0.0210 memory: 8198 grad_norm: 7.2926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/08/03 22:20:50 - mmengine - INFO - Epoch(train) [210][280/1879] lr: 1.0000e-04 eta: 6:59:28 time: 0.2963 data_time: 0.0243 memory: 8198 grad_norm: 7.3683 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9590 loss: 0.9590 2022/08/03 22:20:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:20:56 - mmengine - INFO - Epoch(train) [210][300/1879] lr: 1.0000e-04 eta: 6:59:22 time: 0.2838 data_time: 0.0206 memory: 8198 grad_norm: 6.9097 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9786 loss: 0.9786 2022/08/03 22:21:01 - mmengine - INFO - Epoch(train) [210][320/1879] lr: 1.0000e-04 eta: 6:59:16 time: 0.2933 data_time: 0.0204 memory: 8198 grad_norm: 7.1641 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0183 loss: 1.0183 2022/08/03 22:21:07 - mmengine - INFO - Epoch(train) [210][340/1879] lr: 1.0000e-04 eta: 6:59:11 time: 0.2871 data_time: 0.0276 memory: 8198 grad_norm: 7.1459 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0965 loss: 1.0965 2022/08/03 22:21:13 - mmengine - INFO - Epoch(train) [210][360/1879] lr: 1.0000e-04 eta: 6:59:05 time: 0.2845 data_time: 0.0192 memory: 8198 grad_norm: 7.3851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8832 loss: 0.8832 2022/08/03 22:21:19 - mmengine - INFO - Epoch(train) [210][380/1879] lr: 1.0000e-04 eta: 6:58:59 time: 0.3057 data_time: 0.0211 memory: 8198 grad_norm: 7.1151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1100 loss: 1.1100 2022/08/03 22:21:25 - mmengine - INFO - Epoch(train) [210][400/1879] lr: 1.0000e-04 eta: 6:58:54 time: 0.2866 data_time: 0.0195 memory: 8198 grad_norm: 7.1500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/08/03 22:21:31 - mmengine - INFO - Epoch(train) [210][420/1879] lr: 1.0000e-04 eta: 6:58:48 time: 0.3121 data_time: 0.0231 memory: 8198 grad_norm: 7.0981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9838 loss: 0.9838 2022/08/03 22:21:37 - mmengine - INFO - Epoch(train) [210][440/1879] lr: 1.0000e-04 eta: 6:58:42 time: 0.2834 data_time: 0.0217 memory: 8198 grad_norm: 7.3724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/08/03 22:21:43 - mmengine - INFO - Epoch(train) [210][460/1879] lr: 1.0000e-04 eta: 6:58:37 time: 0.3072 data_time: 0.0239 memory: 8198 grad_norm: 7.1254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9606 loss: 0.9606 2022/08/03 22:21:49 - mmengine - INFO - Epoch(train) [210][480/1879] lr: 1.0000e-04 eta: 6:58:31 time: 0.2828 data_time: 0.0180 memory: 8198 grad_norm: 7.0769 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/08/03 22:21:59 - mmengine - INFO - Epoch(train) [210][500/1879] lr: 1.0000e-04 eta: 6:58:26 time: 0.5225 data_time: 0.0211 memory: 8198 grad_norm: 7.4982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8764 loss: 0.8764 2022/08/03 22:22:05 - mmengine - INFO - Epoch(train) [210][520/1879] lr: 1.0000e-04 eta: 6:58:21 time: 0.2879 data_time: 0.0251 memory: 8198 grad_norm: 7.3687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/08/03 22:22:15 - mmengine - INFO - Epoch(train) [210][540/1879] lr: 1.0000e-04 eta: 6:58:16 time: 0.4862 data_time: 0.0205 memory: 8198 grad_norm: 7.3495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8658 loss: 0.8658 2022/08/03 22:22:25 - mmengine - INFO - Epoch(train) [210][560/1879] lr: 1.0000e-04 eta: 6:58:11 time: 0.5160 data_time: 0.0215 memory: 8198 grad_norm: 7.4405 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0926 loss: 1.0926 2022/08/03 22:22:31 - mmengine - INFO - Epoch(train) [210][580/1879] lr: 1.0000e-04 eta: 6:58:05 time: 0.2895 data_time: 0.0247 memory: 8198 grad_norm: 7.1895 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0862 loss: 1.0862 2022/08/03 22:22:37 - mmengine - INFO - Epoch(train) [210][600/1879] lr: 1.0000e-04 eta: 6:58:00 time: 0.2849 data_time: 0.0203 memory: 8198 grad_norm: 7.4020 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9739 loss: 0.9739 2022/08/03 22:22:44 - mmengine - INFO - Epoch(train) [210][620/1879] lr: 1.0000e-04 eta: 6:57:54 time: 0.3524 data_time: 0.0235 memory: 8198 grad_norm: 7.2409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9948 loss: 0.9948 2022/08/03 22:22:50 - mmengine - INFO - Epoch(train) [210][640/1879] lr: 1.0000e-04 eta: 6:57:49 time: 0.3098 data_time: 0.0197 memory: 8198 grad_norm: 7.0620 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9828 loss: 0.9828 2022/08/03 22:22:56 - mmengine - INFO - Epoch(train) [210][660/1879] lr: 1.0000e-04 eta: 6:57:43 time: 0.2863 data_time: 0.0212 memory: 8198 grad_norm: 7.0632 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9872 loss: 0.9872 2022/08/03 22:23:01 - mmengine - INFO - Epoch(train) [210][680/1879] lr: 1.0000e-04 eta: 6:57:37 time: 0.2852 data_time: 0.0215 memory: 8198 grad_norm: 7.4330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9257 loss: 0.9257 2022/08/03 22:23:07 - mmengine - INFO - Epoch(train) [210][700/1879] lr: 1.0000e-04 eta: 6:57:32 time: 0.2864 data_time: 0.0242 memory: 8198 grad_norm: 7.4478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9087 loss: 0.9087 2022/08/03 22:23:13 - mmengine - INFO - Epoch(train) [210][720/1879] lr: 1.0000e-04 eta: 6:57:26 time: 0.2868 data_time: 0.0306 memory: 8198 grad_norm: 6.9146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9472 loss: 0.9472 2022/08/03 22:23:19 - mmengine - INFO - Epoch(train) [210][740/1879] lr: 1.0000e-04 eta: 6:57:20 time: 0.3054 data_time: 0.0253 memory: 8198 grad_norm: 7.4187 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9605 loss: 0.9605 2022/08/03 22:23:25 - mmengine - INFO - Epoch(train) [210][760/1879] lr: 1.0000e-04 eta: 6:57:14 time: 0.2889 data_time: 0.0178 memory: 8198 grad_norm: 7.0768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7778 loss: 0.7778 2022/08/03 22:23:31 - mmengine - INFO - Epoch(train) [210][780/1879] lr: 1.0000e-04 eta: 6:57:09 time: 0.2873 data_time: 0.0218 memory: 8198 grad_norm: 7.1092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9760 loss: 0.9760 2022/08/03 22:23:36 - mmengine - INFO - Epoch(train) [210][800/1879] lr: 1.0000e-04 eta: 6:57:03 time: 0.2854 data_time: 0.0161 memory: 8198 grad_norm: 7.1235 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0475 loss: 1.0475 2022/08/03 22:23:42 - mmengine - INFO - Epoch(train) [210][820/1879] lr: 1.0000e-04 eta: 6:56:57 time: 0.2895 data_time: 0.0257 memory: 8198 grad_norm: 7.2396 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9465 loss: 0.9465 2022/08/03 22:23:48 - mmengine - INFO - Epoch(train) [210][840/1879] lr: 1.0000e-04 eta: 6:56:52 time: 0.2896 data_time: 0.0207 memory: 8198 grad_norm: 7.2585 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.0469 loss: 1.0469 2022/08/03 22:23:54 - mmengine - INFO - Epoch(train) [210][860/1879] lr: 1.0000e-04 eta: 6:56:46 time: 0.2844 data_time: 0.0215 memory: 8198 grad_norm: 7.2054 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8765 loss: 0.8765 2022/08/03 22:24:04 - mmengine - INFO - Epoch(train) [210][880/1879] lr: 1.0000e-04 eta: 6:56:41 time: 0.5083 data_time: 0.0185 memory: 8198 grad_norm: 7.0806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/08/03 22:24:10 - mmengine - INFO - Epoch(train) [210][900/1879] lr: 1.0000e-04 eta: 6:56:35 time: 0.2866 data_time: 0.0224 memory: 8198 grad_norm: 7.2693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9903 loss: 0.9903 2022/08/03 22:24:16 - mmengine - INFO - Epoch(train) [210][920/1879] lr: 1.0000e-04 eta: 6:56:30 time: 0.2943 data_time: 0.0187 memory: 8198 grad_norm: 7.2118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0530 loss: 1.0530 2022/08/03 22:24:21 - mmengine - INFO - Epoch(train) [210][940/1879] lr: 1.0000e-04 eta: 6:56:24 time: 0.2874 data_time: 0.0221 memory: 8198 grad_norm: 7.1475 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9717 loss: 0.9717 2022/08/03 22:24:27 - mmengine - INFO - Epoch(train) [210][960/1879] lr: 1.0000e-04 eta: 6:56:18 time: 0.2889 data_time: 0.0181 memory: 8198 grad_norm: 7.1888 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8838 loss: 0.8838 2022/08/03 22:24:33 - mmengine - INFO - Epoch(train) [210][980/1879] lr: 1.0000e-04 eta: 6:56:13 time: 0.2981 data_time: 0.0245 memory: 8198 grad_norm: 7.1651 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8931 loss: 0.8931 2022/08/03 22:24:39 - mmengine - INFO - Epoch(train) [210][1000/1879] lr: 1.0000e-04 eta: 6:56:07 time: 0.2914 data_time: 0.0216 memory: 8198 grad_norm: 7.3104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0505 loss: 1.0505 2022/08/03 22:24:45 - mmengine - INFO - Epoch(train) [210][1020/1879] lr: 1.0000e-04 eta: 6:56:01 time: 0.2885 data_time: 0.0233 memory: 8198 grad_norm: 7.3768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9006 loss: 0.9006 2022/08/03 22:24:51 - mmengine - INFO - Epoch(train) [210][1040/1879] lr: 1.0000e-04 eta: 6:55:56 time: 0.3050 data_time: 0.0182 memory: 8198 grad_norm: 7.1623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/08/03 22:24:57 - mmengine - INFO - Epoch(train) [210][1060/1879] lr: 1.0000e-04 eta: 6:55:50 time: 0.2840 data_time: 0.0224 memory: 8198 grad_norm: 7.1325 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/08/03 22:25:03 - mmengine - INFO - Epoch(train) [210][1080/1879] lr: 1.0000e-04 eta: 6:55:44 time: 0.2955 data_time: 0.0262 memory: 8198 grad_norm: 7.4770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0197 loss: 1.0197 2022/08/03 22:25:08 - mmengine - INFO - Epoch(train) [210][1100/1879] lr: 1.0000e-04 eta: 6:55:39 time: 0.2874 data_time: 0.0273 memory: 8198 grad_norm: 7.3051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9218 loss: 0.9218 2022/08/03 22:25:18 - mmengine - INFO - Epoch(train) [210][1120/1879] lr: 1.0000e-04 eta: 6:55:34 time: 0.4970 data_time: 0.0199 memory: 8198 grad_norm: 7.1596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9514 loss: 0.9514 2022/08/03 22:25:24 - mmengine - INFO - Epoch(train) [210][1140/1879] lr: 1.0000e-04 eta: 6:55:28 time: 0.2866 data_time: 0.0218 memory: 8198 grad_norm: 7.0101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9351 loss: 0.9351 2022/08/03 22:25:30 - mmengine - INFO - Epoch(train) [210][1160/1879] lr: 1.0000e-04 eta: 6:55:22 time: 0.2851 data_time: 0.0260 memory: 8198 grad_norm: 7.4144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9608 loss: 0.9608 2022/08/03 22:25:36 - mmengine - INFO - Epoch(train) [210][1180/1879] lr: 1.0000e-04 eta: 6:55:17 time: 0.2858 data_time: 0.0235 memory: 8198 grad_norm: 7.2185 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0310 loss: 1.0310 2022/08/03 22:25:41 - mmengine - INFO - Epoch(train) [210][1200/1879] lr: 1.0000e-04 eta: 6:55:11 time: 0.2899 data_time: 0.0199 memory: 8198 grad_norm: 7.2555 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0053 loss: 1.0053 2022/08/03 22:25:47 - mmengine - INFO - Epoch(train) [210][1220/1879] lr: 1.0000e-04 eta: 6:55:05 time: 0.2875 data_time: 0.0212 memory: 8198 grad_norm: 7.3409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0090 loss: 1.0090 2022/08/03 22:25:53 - mmengine - INFO - Epoch(train) [210][1240/1879] lr: 1.0000e-04 eta: 6:54:59 time: 0.2892 data_time: 0.0232 memory: 8198 grad_norm: 7.0398 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8229 loss: 0.8229 2022/08/03 22:25:59 - mmengine - INFO - Epoch(train) [210][1260/1879] lr: 1.0000e-04 eta: 6:54:54 time: 0.2886 data_time: 0.0200 memory: 8198 grad_norm: 7.3727 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/08/03 22:26:04 - mmengine - INFO - Epoch(train) [210][1280/1879] lr: 1.0000e-04 eta: 6:54:48 time: 0.2834 data_time: 0.0216 memory: 8198 grad_norm: 7.3153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9418 loss: 0.9418 2022/08/03 22:26:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:26:10 - mmengine - INFO - Epoch(train) [210][1300/1879] lr: 1.0000e-04 eta: 6:54:42 time: 0.2879 data_time: 0.0236 memory: 8198 grad_norm: 7.2779 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8451 loss: 0.8451 2022/08/03 22:26:20 - mmengine - INFO - Epoch(train) [210][1320/1879] lr: 1.0000e-04 eta: 6:54:37 time: 0.4732 data_time: 0.0227 memory: 8198 grad_norm: 7.4529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0527 loss: 1.0527 2022/08/03 22:26:26 - mmengine - INFO - Epoch(train) [210][1340/1879] lr: 1.0000e-04 eta: 6:54:32 time: 0.2868 data_time: 0.0237 memory: 8198 grad_norm: 7.3148 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/03 22:26:31 - mmengine - INFO - Epoch(train) [210][1360/1879] lr: 1.0000e-04 eta: 6:54:26 time: 0.2891 data_time: 0.0223 memory: 8198 grad_norm: 7.3497 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9682 loss: 0.9682 2022/08/03 22:26:37 - mmengine - INFO - Epoch(train) [210][1380/1879] lr: 1.0000e-04 eta: 6:54:20 time: 0.2849 data_time: 0.0189 memory: 8198 grad_norm: 7.5131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/08/03 22:26:43 - mmengine - INFO - Epoch(train) [210][1400/1879] lr: 1.0000e-04 eta: 6:54:15 time: 0.2937 data_time: 0.0184 memory: 8198 grad_norm: 7.5068 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9777 loss: 0.9777 2022/08/03 22:26:49 - mmengine - INFO - Epoch(train) [210][1420/1879] lr: 1.0000e-04 eta: 6:54:09 time: 0.2983 data_time: 0.0281 memory: 8198 grad_norm: 7.2356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7845 loss: 0.7845 2022/08/03 22:26:55 - mmengine - INFO - Epoch(train) [210][1440/1879] lr: 1.0000e-04 eta: 6:54:03 time: 0.2828 data_time: 0.0211 memory: 8198 grad_norm: 7.2139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0179 loss: 1.0179 2022/08/03 22:27:01 - mmengine - INFO - Epoch(train) [210][1460/1879] lr: 1.0000e-04 eta: 6:53:58 time: 0.2988 data_time: 0.0199 memory: 8198 grad_norm: 7.0615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8146 loss: 0.8146 2022/08/03 22:27:06 - mmengine - INFO - Epoch(train) [210][1480/1879] lr: 1.0000e-04 eta: 6:53:52 time: 0.2829 data_time: 0.0210 memory: 8198 grad_norm: 7.0789 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9511 loss: 0.9511 2022/08/03 22:27:12 - mmengine - INFO - Epoch(train) [210][1500/1879] lr: 1.0000e-04 eta: 6:53:46 time: 0.2896 data_time: 0.0252 memory: 8198 grad_norm: 7.1661 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0473 loss: 1.0473 2022/08/03 22:27:18 - mmengine - INFO - Epoch(train) [210][1520/1879] lr: 1.0000e-04 eta: 6:53:40 time: 0.2849 data_time: 0.0244 memory: 8198 grad_norm: 7.3886 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8137 loss: 0.8137 2022/08/03 22:27:24 - mmengine - INFO - Epoch(train) [210][1540/1879] lr: 1.0000e-04 eta: 6:53:35 time: 0.2837 data_time: 0.0222 memory: 8198 grad_norm: 7.2757 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9631 loss: 0.9631 2022/08/03 22:27:29 - mmengine - INFO - Epoch(train) [210][1560/1879] lr: 1.0000e-04 eta: 6:53:29 time: 0.2916 data_time: 0.0234 memory: 8198 grad_norm: 7.2504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9175 loss: 0.9175 2022/08/03 22:27:35 - mmengine - INFO - Epoch(train) [210][1580/1879] lr: 1.0000e-04 eta: 6:53:23 time: 0.2861 data_time: 0.0260 memory: 8198 grad_norm: 7.1691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/08/03 22:27:41 - mmengine - INFO - Epoch(train) [210][1600/1879] lr: 1.0000e-04 eta: 6:53:18 time: 0.2894 data_time: 0.0229 memory: 8198 grad_norm: 7.3103 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9116 loss: 0.9116 2022/08/03 22:27:52 - mmengine - INFO - Epoch(train) [210][1620/1879] lr: 1.0000e-04 eta: 6:53:13 time: 0.5526 data_time: 0.0217 memory: 8198 grad_norm: 7.3804 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9627 loss: 0.9627 2022/08/03 22:27:58 - mmengine - INFO - Epoch(train) [210][1640/1879] lr: 1.0000e-04 eta: 6:53:07 time: 0.2798 data_time: 0.0181 memory: 8198 grad_norm: 7.1777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9420 loss: 0.9420 2022/08/03 22:28:03 - mmengine - INFO - Epoch(train) [210][1660/1879] lr: 1.0000e-04 eta: 6:53:02 time: 0.2862 data_time: 0.0226 memory: 8198 grad_norm: 7.1898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0209 loss: 1.0209 2022/08/03 22:28:09 - mmengine - INFO - Epoch(train) [210][1680/1879] lr: 1.0000e-04 eta: 6:52:56 time: 0.2927 data_time: 0.0287 memory: 8198 grad_norm: 7.3278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/08/03 22:28:15 - mmengine - INFO - Epoch(train) [210][1700/1879] lr: 1.0000e-04 eta: 6:52:50 time: 0.2856 data_time: 0.0208 memory: 8198 grad_norm: 7.2427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/08/03 22:28:21 - mmengine - INFO - Epoch(train) [210][1720/1879] lr: 1.0000e-04 eta: 6:52:44 time: 0.2847 data_time: 0.0219 memory: 8198 grad_norm: 7.1551 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8471 loss: 0.8471 2022/08/03 22:28:27 - mmengine - INFO - Epoch(train) [210][1740/1879] lr: 1.0000e-04 eta: 6:52:39 time: 0.2843 data_time: 0.0199 memory: 8198 grad_norm: 7.2575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9134 loss: 0.9134 2022/08/03 22:28:32 - mmengine - INFO - Epoch(train) [210][1760/1879] lr: 1.0000e-04 eta: 6:52:33 time: 0.2940 data_time: 0.0272 memory: 8198 grad_norm: 7.2699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0657 loss: 1.0657 2022/08/03 22:28:38 - mmengine - INFO - Epoch(train) [210][1780/1879] lr: 1.0000e-04 eta: 6:52:27 time: 0.2868 data_time: 0.0219 memory: 8198 grad_norm: 7.4000 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/03 22:28:44 - mmengine - INFO - Epoch(train) [210][1800/1879] lr: 1.0000e-04 eta: 6:52:22 time: 0.2876 data_time: 0.0268 memory: 8198 grad_norm: 7.1081 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8991 loss: 0.8991 2022/08/03 22:28:50 - mmengine - INFO - Epoch(train) [210][1820/1879] lr: 1.0000e-04 eta: 6:52:16 time: 0.2945 data_time: 0.0215 memory: 8198 grad_norm: 7.2301 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7801 loss: 0.7801 2022/08/03 22:28:56 - mmengine - INFO - Epoch(train) [210][1840/1879] lr: 1.0000e-04 eta: 6:52:10 time: 0.2863 data_time: 0.0245 memory: 8198 grad_norm: 7.0305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0935 loss: 1.0935 2022/08/03 22:29:02 - mmengine - INFO - Epoch(train) [210][1860/1879] lr: 1.0000e-04 eta: 6:52:04 time: 0.2922 data_time: 0.0297 memory: 8198 grad_norm: 7.7437 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0606 loss: 1.0606 2022/08/03 22:29:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:29:06 - mmengine - INFO - Epoch(train) [210][1879/1879] lr: 1.0000e-04 eta: 6:52:04 time: 0.2573 data_time: 0.0187 memory: 8198 grad_norm: 7.3232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/08/03 22:29:13 - mmengine - INFO - Epoch(val) [210][20/155] eta: 0:00:43 time: 0.3223 data_time: 0.2300 memory: 1514 2022/08/03 22:29:17 - mmengine - INFO - Epoch(val) [210][40/155] eta: 0:00:26 time: 0.2292 data_time: 0.1422 memory: 1514 2022/08/03 22:29:24 - mmengine - INFO - Epoch(val) [210][60/155] eta: 0:00:30 time: 0.3196 data_time: 0.2291 memory: 1514 2022/08/03 22:29:29 - mmengine - INFO - Epoch(val) [210][80/155] eta: 0:00:18 time: 0.2423 data_time: 0.1528 memory: 1514 2022/08/03 22:29:35 - mmengine - INFO - Epoch(val) [210][100/155] eta: 0:00:16 time: 0.3065 data_time: 0.2175 memory: 1514 2022/08/03 22:29:39 - mmengine - INFO - Epoch(val) [210][120/155] eta: 0:00:07 time: 0.2235 data_time: 0.1365 memory: 1514 2022/08/03 22:29:45 - mmengine - INFO - Epoch(val) [210][140/155] eta: 0:00:04 time: 0.2849 data_time: 0.1935 memory: 1514 2022/08/03 22:29:51 - mmengine - INFO - Epoch(val) [210][155/155] acc/top1: 0.6787 acc/top5: 0.8677 acc/mean1: 0.6785 2022/08/03 22:29:59 - mmengine - INFO - Epoch(train) [211][20/1879] lr: 1.0000e-04 eta: 6:51:53 time: 0.4160 data_time: 0.1449 memory: 8198 grad_norm: 7.4084 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9754 loss: 0.9754 2022/08/03 22:30:05 - mmengine - INFO - Epoch(train) [211][40/1879] lr: 1.0000e-04 eta: 6:51:47 time: 0.2955 data_time: 0.0295 memory: 8198 grad_norm: 7.6158 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0370 loss: 1.0370 2022/08/03 22:30:11 - mmengine - INFO - Epoch(train) [211][60/1879] lr: 1.0000e-04 eta: 6:51:41 time: 0.2939 data_time: 0.0229 memory: 8198 grad_norm: 7.1377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8323 loss: 0.8323 2022/08/03 22:30:17 - mmengine - INFO - Epoch(train) [211][80/1879] lr: 1.0000e-04 eta: 6:51:36 time: 0.2845 data_time: 0.0200 memory: 8198 grad_norm: 7.2259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8027 loss: 0.8027 2022/08/03 22:30:22 - mmengine - INFO - Epoch(train) [211][100/1879] lr: 1.0000e-04 eta: 6:51:30 time: 0.2875 data_time: 0.0199 memory: 8198 grad_norm: 7.3202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7719 loss: 0.7719 2022/08/03 22:30:28 - mmengine - INFO - Epoch(train) [211][120/1879] lr: 1.0000e-04 eta: 6:51:24 time: 0.2974 data_time: 0.0175 memory: 8198 grad_norm: 7.3653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0716 loss: 1.0716 2022/08/03 22:30:34 - mmengine - INFO - Epoch(train) [211][140/1879] lr: 1.0000e-04 eta: 6:51:18 time: 0.2861 data_time: 0.0248 memory: 8198 grad_norm: 7.0647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9380 loss: 0.9380 2022/08/03 22:30:40 - mmengine - INFO - Epoch(train) [211][160/1879] lr: 1.0000e-04 eta: 6:51:13 time: 0.2884 data_time: 0.0258 memory: 8198 grad_norm: 6.9251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/08/03 22:30:46 - mmengine - INFO - Epoch(train) [211][180/1879] lr: 1.0000e-04 eta: 6:51:07 time: 0.2854 data_time: 0.0253 memory: 8198 grad_norm: 7.0438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0754 loss: 1.0754 2022/08/03 22:30:51 - mmengine - INFO - Epoch(train) [211][200/1879] lr: 1.0000e-04 eta: 6:51:01 time: 0.2850 data_time: 0.0231 memory: 8198 grad_norm: 7.1816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/08/03 22:30:57 - mmengine - INFO - Epoch(train) [211][220/1879] lr: 1.0000e-04 eta: 6:50:56 time: 0.2871 data_time: 0.0221 memory: 8198 grad_norm: 7.1914 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1876 loss: 1.1876 2022/08/03 22:31:03 - mmengine - INFO - Epoch(train) [211][240/1879] lr: 1.0000e-04 eta: 6:50:50 time: 0.2951 data_time: 0.0225 memory: 8198 grad_norm: 7.2464 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9318 loss: 0.9318 2022/08/03 22:31:09 - mmengine - INFO - Epoch(train) [211][260/1879] lr: 1.0000e-04 eta: 6:50:44 time: 0.2837 data_time: 0.0218 memory: 8198 grad_norm: 7.2629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1468 loss: 1.1468 2022/08/03 22:31:14 - mmengine - INFO - Epoch(train) [211][280/1879] lr: 1.0000e-04 eta: 6:50:38 time: 0.2826 data_time: 0.0212 memory: 8198 grad_norm: 7.3069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/08/03 22:31:22 - mmengine - INFO - Epoch(train) [211][300/1879] lr: 1.0000e-04 eta: 6:50:33 time: 0.3769 data_time: 0.0247 memory: 8198 grad_norm: 7.3281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8384 loss: 0.8384 2022/08/03 22:31:28 - mmengine - INFO - Epoch(train) [211][320/1879] lr: 1.0000e-04 eta: 6:50:27 time: 0.2837 data_time: 0.0189 memory: 8198 grad_norm: 7.2153 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8396 loss: 0.8396 2022/08/03 22:31:33 - mmengine - INFO - Epoch(train) [211][340/1879] lr: 1.0000e-04 eta: 6:50:22 time: 0.2863 data_time: 0.0226 memory: 8198 grad_norm: 7.3626 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/08/03 22:31:39 - mmengine - INFO - Epoch(train) [211][360/1879] lr: 1.0000e-04 eta: 6:50:16 time: 0.2865 data_time: 0.0236 memory: 8198 grad_norm: 7.1999 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0663 loss: 1.0663 2022/08/03 22:31:45 - mmengine - INFO - Epoch(train) [211][380/1879] lr: 1.0000e-04 eta: 6:50:10 time: 0.2846 data_time: 0.0287 memory: 8198 grad_norm: 7.3123 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9066 loss: 0.9066 2022/08/03 22:31:51 - mmengine - INFO - Epoch(train) [211][400/1879] lr: 1.0000e-04 eta: 6:50:05 time: 0.2951 data_time: 0.0142 memory: 8198 grad_norm: 7.2599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7903 loss: 0.7903 2022/08/03 22:31:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:31:57 - mmengine - INFO - Epoch(train) [211][420/1879] lr: 1.0000e-04 eta: 6:49:59 time: 0.2874 data_time: 0.0241 memory: 8198 grad_norm: 7.2787 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0081 loss: 1.0081 2022/08/03 22:32:02 - mmengine - INFO - Epoch(train) [211][440/1879] lr: 1.0000e-04 eta: 6:49:53 time: 0.2890 data_time: 0.0229 memory: 8198 grad_norm: 7.1432 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9877 loss: 0.9877 2022/08/03 22:32:10 - mmengine - INFO - Epoch(train) [211][460/1879] lr: 1.0000e-04 eta: 6:49:48 time: 0.3859 data_time: 0.0175 memory: 8198 grad_norm: 7.2162 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9109 loss: 0.9109 2022/08/03 22:32:16 - mmengine - INFO - Epoch(train) [211][480/1879] lr: 1.0000e-04 eta: 6:49:42 time: 0.2912 data_time: 0.0207 memory: 8198 grad_norm: 7.2157 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1030 loss: 1.1030 2022/08/03 22:32:22 - mmengine - INFO - Epoch(train) [211][500/1879] lr: 1.0000e-04 eta: 6:49:36 time: 0.2895 data_time: 0.0226 memory: 8198 grad_norm: 7.2464 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9373 loss: 0.9373 2022/08/03 22:32:28 - mmengine - INFO - Epoch(train) [211][520/1879] lr: 1.0000e-04 eta: 6:49:31 time: 0.2856 data_time: 0.0255 memory: 8198 grad_norm: 7.5140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1604 loss: 1.1604 2022/08/03 22:32:33 - mmengine - INFO - Epoch(train) [211][540/1879] lr: 1.0000e-04 eta: 6:49:25 time: 0.2894 data_time: 0.0235 memory: 8198 grad_norm: 7.1513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9146 loss: 0.9146 2022/08/03 22:32:39 - mmengine - INFO - Epoch(train) [211][560/1879] lr: 1.0000e-04 eta: 6:49:19 time: 0.2919 data_time: 0.0195 memory: 8198 grad_norm: 7.4446 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9538 loss: 0.9538 2022/08/03 22:32:45 - mmengine - INFO - Epoch(train) [211][580/1879] lr: 1.0000e-04 eta: 6:49:14 time: 0.2851 data_time: 0.0193 memory: 8198 grad_norm: 7.4991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/08/03 22:32:51 - mmengine - INFO - Epoch(train) [211][600/1879] lr: 1.0000e-04 eta: 6:49:08 time: 0.2903 data_time: 0.0228 memory: 8198 grad_norm: 7.6384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9508 loss: 0.9508 2022/08/03 22:32:57 - mmengine - INFO - Epoch(train) [211][620/1879] lr: 1.0000e-04 eta: 6:49:02 time: 0.2890 data_time: 0.0273 memory: 8198 grad_norm: 7.2378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0112 loss: 1.0112 2022/08/03 22:33:03 - mmengine - INFO - Epoch(train) [211][640/1879] lr: 1.0000e-04 eta: 6:48:57 time: 0.2922 data_time: 0.0243 memory: 8198 grad_norm: 7.2032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9581 loss: 0.9581 2022/08/03 22:33:08 - mmengine - INFO - Epoch(train) [211][660/1879] lr: 1.0000e-04 eta: 6:48:51 time: 0.2859 data_time: 0.0221 memory: 8198 grad_norm: 7.0657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8799 loss: 0.8799 2022/08/03 22:33:14 - mmengine - INFO - Epoch(train) [211][680/1879] lr: 1.0000e-04 eta: 6:48:45 time: 0.2909 data_time: 0.0239 memory: 8198 grad_norm: 7.1922 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8706 loss: 0.8706 2022/08/03 22:33:20 - mmengine - INFO - Epoch(train) [211][700/1879] lr: 1.0000e-04 eta: 6:48:39 time: 0.2881 data_time: 0.0213 memory: 8198 grad_norm: 7.1758 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8281 loss: 0.8281 2022/08/03 22:33:26 - mmengine - INFO - Epoch(train) [211][720/1879] lr: 1.0000e-04 eta: 6:48:34 time: 0.2871 data_time: 0.0221 memory: 8198 grad_norm: 7.0612 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9932 loss: 0.9932 2022/08/03 22:33:31 - mmengine - INFO - Epoch(train) [211][740/1879] lr: 1.0000e-04 eta: 6:48:28 time: 0.2856 data_time: 0.0205 memory: 8198 grad_norm: 7.2915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9119 loss: 0.9119 2022/08/03 22:33:37 - mmengine - INFO - Epoch(train) [211][760/1879] lr: 1.0000e-04 eta: 6:48:22 time: 0.2851 data_time: 0.0201 memory: 8198 grad_norm: 7.3633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0126 loss: 1.0126 2022/08/03 22:33:43 - mmengine - INFO - Epoch(train) [211][780/1879] lr: 1.0000e-04 eta: 6:48:17 time: 0.2951 data_time: 0.0258 memory: 8198 grad_norm: 7.1910 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9095 loss: 0.9095 2022/08/03 22:33:49 - mmengine - INFO - Epoch(train) [211][800/1879] lr: 1.0000e-04 eta: 6:48:11 time: 0.2839 data_time: 0.0229 memory: 8198 grad_norm: 7.2889 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1229 loss: 1.1229 2022/08/03 22:33:55 - mmengine - INFO - Epoch(train) [211][820/1879] lr: 1.0000e-04 eta: 6:48:05 time: 0.2910 data_time: 0.0251 memory: 8198 grad_norm: 6.9981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9776 loss: 0.9776 2022/08/03 22:34:01 - mmengine - INFO - Epoch(train) [211][840/1879] lr: 1.0000e-04 eta: 6:47:59 time: 0.2935 data_time: 0.0218 memory: 8198 grad_norm: 7.2977 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9774 loss: 0.9774 2022/08/03 22:34:06 - mmengine - INFO - Epoch(train) [211][860/1879] lr: 1.0000e-04 eta: 6:47:54 time: 0.2860 data_time: 0.0211 memory: 8198 grad_norm: 7.3115 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9689 loss: 0.9689 2022/08/03 22:34:12 - mmengine - INFO - Epoch(train) [211][880/1879] lr: 1.0000e-04 eta: 6:47:48 time: 0.2927 data_time: 0.0274 memory: 8198 grad_norm: 7.3591 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9771 loss: 0.9771 2022/08/03 22:34:18 - mmengine - INFO - Epoch(train) [211][900/1879] lr: 1.0000e-04 eta: 6:47:42 time: 0.2837 data_time: 0.0228 memory: 8198 grad_norm: 7.3028 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8611 loss: 0.8611 2022/08/03 22:34:24 - mmengine - INFO - Epoch(train) [211][920/1879] lr: 1.0000e-04 eta: 6:47:37 time: 0.2938 data_time: 0.0247 memory: 8198 grad_norm: 7.1422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1148 loss: 1.1148 2022/08/03 22:34:30 - mmengine - INFO - Epoch(train) [211][940/1879] lr: 1.0000e-04 eta: 6:47:31 time: 0.2875 data_time: 0.0251 memory: 8198 grad_norm: 7.2038 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8815 loss: 0.8815 2022/08/03 22:34:35 - mmengine - INFO - Epoch(train) [211][960/1879] lr: 1.0000e-04 eta: 6:47:25 time: 0.2839 data_time: 0.0212 memory: 8198 grad_norm: 7.3237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8999 loss: 0.8999 2022/08/03 22:34:41 - mmengine - INFO - Epoch(train) [211][980/1879] lr: 1.0000e-04 eta: 6:47:19 time: 0.2941 data_time: 0.0217 memory: 8198 grad_norm: 7.2497 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9343 loss: 0.9343 2022/08/03 22:34:47 - mmengine - INFO - Epoch(train) [211][1000/1879] lr: 1.0000e-04 eta: 6:47:14 time: 0.2854 data_time: 0.0216 memory: 8198 grad_norm: 7.2409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9617 loss: 0.9617 2022/08/03 22:34:53 - mmengine - INFO - Epoch(train) [211][1020/1879] lr: 1.0000e-04 eta: 6:47:08 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 7.1049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9043 loss: 0.9043 2022/08/03 22:34:58 - mmengine - INFO - Epoch(train) [211][1040/1879] lr: 1.0000e-04 eta: 6:47:02 time: 0.2835 data_time: 0.0181 memory: 8198 grad_norm: 7.1202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7182 loss: 0.7182 2022/08/03 22:35:04 - mmengine - INFO - Epoch(train) [211][1060/1879] lr: 1.0000e-04 eta: 6:46:57 time: 0.2974 data_time: 0.0197 memory: 8198 grad_norm: 7.3110 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9521 loss: 0.9521 2022/08/03 22:35:10 - mmengine - INFO - Epoch(train) [211][1080/1879] lr: 1.0000e-04 eta: 6:46:51 time: 0.2921 data_time: 0.0243 memory: 8198 grad_norm: 7.2134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8359 loss: 0.8359 2022/08/03 22:35:16 - mmengine - INFO - Epoch(train) [211][1100/1879] lr: 1.0000e-04 eta: 6:46:45 time: 0.2890 data_time: 0.0282 memory: 8198 grad_norm: 7.0812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8842 loss: 0.8842 2022/08/03 22:35:22 - mmengine - INFO - Epoch(train) [211][1120/1879] lr: 1.0000e-04 eta: 6:46:40 time: 0.2949 data_time: 0.0203 memory: 8198 grad_norm: 7.1308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8269 loss: 0.8269 2022/08/03 22:35:28 - mmengine - INFO - Epoch(train) [211][1140/1879] lr: 1.0000e-04 eta: 6:46:34 time: 0.2848 data_time: 0.0215 memory: 8198 grad_norm: 7.0662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8829 loss: 0.8829 2022/08/03 22:35:33 - mmengine - INFO - Epoch(train) [211][1160/1879] lr: 1.0000e-04 eta: 6:46:28 time: 0.2863 data_time: 0.0216 memory: 8198 grad_norm: 7.5481 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9433 loss: 0.9433 2022/08/03 22:35:40 - mmengine - INFO - Epoch(train) [211][1180/1879] lr: 1.0000e-04 eta: 6:46:23 time: 0.3255 data_time: 0.0221 memory: 8198 grad_norm: 7.1777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9317 loss: 0.9317 2022/08/03 22:35:46 - mmengine - INFO - Epoch(train) [211][1200/1879] lr: 1.0000e-04 eta: 6:46:17 time: 0.2841 data_time: 0.0213 memory: 8198 grad_norm: 7.2294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9480 loss: 0.9480 2022/08/03 22:35:52 - mmengine - INFO - Epoch(train) [211][1220/1879] lr: 1.0000e-04 eta: 6:46:11 time: 0.2936 data_time: 0.0252 memory: 8198 grad_norm: 7.0109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9393 loss: 0.9393 2022/08/03 22:36:03 - mmengine - INFO - Epoch(train) [211][1240/1879] lr: 1.0000e-04 eta: 6:46:07 time: 0.5866 data_time: 0.0582 memory: 8198 grad_norm: 7.1582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9943 loss: 0.9943 2022/08/03 22:36:09 - mmengine - INFO - Epoch(train) [211][1260/1879] lr: 1.0000e-04 eta: 6:46:01 time: 0.2846 data_time: 0.0174 memory: 8198 grad_norm: 6.9931 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8760 loss: 0.8760 2022/08/03 22:36:15 - mmengine - INFO - Epoch(train) [211][1280/1879] lr: 1.0000e-04 eta: 6:45:55 time: 0.3049 data_time: 0.0243 memory: 8198 grad_norm: 7.2821 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8142 loss: 0.8142 2022/08/03 22:36:22 - mmengine - INFO - Epoch(train) [211][1300/1879] lr: 1.0000e-04 eta: 6:45:50 time: 0.3123 data_time: 0.0175 memory: 8198 grad_norm: 7.4443 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9208 loss: 0.9208 2022/08/03 22:36:32 - mmengine - INFO - Epoch(train) [211][1320/1879] lr: 1.0000e-04 eta: 6:45:45 time: 0.5433 data_time: 0.0198 memory: 8198 grad_norm: 7.3923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9402 loss: 0.9402 2022/08/03 22:36:38 - mmengine - INFO - Epoch(train) [211][1340/1879] lr: 1.0000e-04 eta: 6:45:39 time: 0.2867 data_time: 0.0223 memory: 8198 grad_norm: 7.2062 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0029 loss: 1.0029 2022/08/03 22:36:44 - mmengine - INFO - Epoch(train) [211][1360/1879] lr: 1.0000e-04 eta: 6:45:34 time: 0.2870 data_time: 0.0190 memory: 8198 grad_norm: 7.2787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9598 loss: 0.9598 2022/08/03 22:36:54 - mmengine - INFO - Epoch(train) [211][1380/1879] lr: 1.0000e-04 eta: 6:45:29 time: 0.5133 data_time: 0.0267 memory: 8198 grad_norm: 7.1876 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9105 loss: 0.9105 2022/08/03 22:37:04 - mmengine - INFO - Epoch(train) [211][1400/1879] lr: 1.0000e-04 eta: 6:45:24 time: 0.4970 data_time: 0.0220 memory: 8198 grad_norm: 7.3340 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1052 loss: 1.1052 2022/08/03 22:37:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:37:10 - mmengine - INFO - Epoch(train) [211][1420/1879] lr: 1.0000e-04 eta: 6:45:18 time: 0.2883 data_time: 0.0176 memory: 8198 grad_norm: 7.1666 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8408 loss: 0.8408 2022/08/03 22:37:20 - mmengine - INFO - Epoch(train) [211][1440/1879] lr: 1.0000e-04 eta: 6:45:14 time: 0.4772 data_time: 0.0197 memory: 8198 grad_norm: 7.4158 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0909 loss: 1.0909 2022/08/03 22:37:30 - mmengine - INFO - Epoch(train) [211][1460/1879] lr: 1.0000e-04 eta: 6:45:09 time: 0.5225 data_time: 0.0186 memory: 8198 grad_norm: 7.2259 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8621 loss: 0.8621 2022/08/03 22:37:37 - mmengine - INFO - Epoch(train) [211][1480/1879] lr: 1.0000e-04 eta: 6:45:03 time: 0.3679 data_time: 0.0175 memory: 8198 grad_norm: 7.0144 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9816 loss: 0.9816 2022/08/03 22:37:43 - mmengine - INFO - Epoch(train) [211][1500/1879] lr: 1.0000e-04 eta: 6:44:58 time: 0.2839 data_time: 0.0213 memory: 8198 grad_norm: 7.2032 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/08/03 22:37:49 - mmengine - INFO - Epoch(train) [211][1520/1879] lr: 1.0000e-04 eta: 6:44:52 time: 0.2999 data_time: 0.0204 memory: 8198 grad_norm: 7.1679 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9503 loss: 0.9503 2022/08/03 22:37:55 - mmengine - INFO - Epoch(train) [211][1540/1879] lr: 1.0000e-04 eta: 6:44:46 time: 0.2938 data_time: 0.0232 memory: 8198 grad_norm: 7.2568 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0075 loss: 1.0075 2022/08/03 22:38:01 - mmengine - INFO - Epoch(train) [211][1560/1879] lr: 1.0000e-04 eta: 6:44:41 time: 0.2875 data_time: 0.0262 memory: 8198 grad_norm: 7.0802 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/08/03 22:38:07 - mmengine - INFO - Epoch(train) [211][1580/1879] lr: 1.0000e-04 eta: 6:44:35 time: 0.2840 data_time: 0.0218 memory: 8198 grad_norm: 7.1805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9994 loss: 0.9994 2022/08/03 22:38:17 - mmengine - INFO - Epoch(train) [211][1600/1879] lr: 1.0000e-04 eta: 6:44:30 time: 0.5154 data_time: 0.0212 memory: 8198 grad_norm: 7.0816 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/08/03 22:38:23 - mmengine - INFO - Epoch(train) [211][1620/1879] lr: 1.0000e-04 eta: 6:44:24 time: 0.2824 data_time: 0.0182 memory: 8198 grad_norm: 6.9959 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8199 loss: 0.8199 2022/08/03 22:38:28 - mmengine - INFO - Epoch(train) [211][1640/1879] lr: 1.0000e-04 eta: 6:44:19 time: 0.2840 data_time: 0.0174 memory: 8198 grad_norm: 7.3243 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9135 loss: 0.9135 2022/08/03 22:38:34 - mmengine - INFO - Epoch(train) [211][1660/1879] lr: 1.0000e-04 eta: 6:44:13 time: 0.2857 data_time: 0.0237 memory: 8198 grad_norm: 7.1643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9433 loss: 0.9433 2022/08/03 22:38:40 - mmengine - INFO - Epoch(train) [211][1680/1879] lr: 1.0000e-04 eta: 6:44:07 time: 0.2888 data_time: 0.0212 memory: 8198 grad_norm: 7.0574 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7509 loss: 0.7509 2022/08/03 22:38:46 - mmengine - INFO - Epoch(train) [211][1700/1879] lr: 1.0000e-04 eta: 6:44:02 time: 0.2865 data_time: 0.0220 memory: 8198 grad_norm: 7.0225 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/03 22:38:51 - mmengine - INFO - Epoch(train) [211][1720/1879] lr: 1.0000e-04 eta: 6:43:56 time: 0.2927 data_time: 0.0217 memory: 8198 grad_norm: 7.1610 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/08/03 22:38:57 - mmengine - INFO - Epoch(train) [211][1740/1879] lr: 1.0000e-04 eta: 6:43:50 time: 0.2872 data_time: 0.0276 memory: 8198 grad_norm: 7.0798 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8477 loss: 0.8477 2022/08/03 22:39:03 - mmengine - INFO - Epoch(train) [211][1760/1879] lr: 1.0000e-04 eta: 6:43:44 time: 0.2904 data_time: 0.0219 memory: 8198 grad_norm: 7.3933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/08/03 22:39:09 - mmengine - INFO - Epoch(train) [211][1780/1879] lr: 1.0000e-04 eta: 6:43:39 time: 0.2860 data_time: 0.0220 memory: 8198 grad_norm: 6.9906 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/03 22:39:15 - mmengine - INFO - Epoch(train) [211][1800/1879] lr: 1.0000e-04 eta: 6:43:33 time: 0.2927 data_time: 0.0222 memory: 8198 grad_norm: 7.2190 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9210 loss: 0.9210 2022/08/03 22:39:20 - mmengine - INFO - Epoch(train) [211][1820/1879] lr: 1.0000e-04 eta: 6:43:27 time: 0.2856 data_time: 0.0267 memory: 8198 grad_norm: 7.5013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0332 loss: 1.0332 2022/08/03 22:39:26 - mmengine - INFO - Epoch(train) [211][1840/1879] lr: 1.0000e-04 eta: 6:43:22 time: 0.2877 data_time: 0.0179 memory: 8198 grad_norm: 7.2424 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8585 loss: 0.8585 2022/08/03 22:39:32 - mmengine - INFO - Epoch(train) [211][1860/1879] lr: 1.0000e-04 eta: 6:43:16 time: 0.2876 data_time: 0.0258 memory: 8198 grad_norm: 7.4093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0808 loss: 1.0808 2022/08/03 22:39:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:39:37 - mmengine - INFO - Epoch(train) [211][1879/1879] lr: 1.0000e-04 eta: 6:43:16 time: 0.2619 data_time: 0.0200 memory: 8198 grad_norm: 7.1379 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1260 loss: 1.1260 2022/08/03 22:39:45 - mmengine - INFO - Epoch(train) [212][20/1879] lr: 1.0000e-04 eta: 6:43:04 time: 0.4075 data_time: 0.0839 memory: 8198 grad_norm: 7.3415 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/08/03 22:39:51 - mmengine - INFO - Epoch(train) [212][40/1879] lr: 1.0000e-04 eta: 6:42:58 time: 0.2888 data_time: 0.0228 memory: 8198 grad_norm: 7.2765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0213 loss: 1.0213 2022/08/03 22:39:57 - mmengine - INFO - Epoch(train) [212][60/1879] lr: 1.0000e-04 eta: 6:42:53 time: 0.2898 data_time: 0.0234 memory: 8198 grad_norm: 7.3392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9197 loss: 0.9197 2022/08/03 22:40:03 - mmengine - INFO - Epoch(train) [212][80/1879] lr: 1.0000e-04 eta: 6:42:47 time: 0.2867 data_time: 0.0246 memory: 8198 grad_norm: 7.4329 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/08/03 22:40:08 - mmengine - INFO - Epoch(train) [212][100/1879] lr: 1.0000e-04 eta: 6:42:41 time: 0.2880 data_time: 0.0241 memory: 8198 grad_norm: 6.9011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6588 loss: 0.6588 2022/08/03 22:40:14 - mmengine - INFO - Epoch(train) [212][120/1879] lr: 1.0000e-04 eta: 6:42:36 time: 0.2882 data_time: 0.0231 memory: 8198 grad_norm: 7.1012 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8776 loss: 0.8776 2022/08/03 22:40:20 - mmengine - INFO - Epoch(train) [212][140/1879] lr: 1.0000e-04 eta: 6:42:30 time: 0.2860 data_time: 0.0200 memory: 8198 grad_norm: 6.9819 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9078 loss: 0.9078 2022/08/03 22:40:26 - mmengine - INFO - Epoch(train) [212][160/1879] lr: 1.0000e-04 eta: 6:42:24 time: 0.2859 data_time: 0.0216 memory: 8198 grad_norm: 7.3326 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1860 loss: 1.1860 2022/08/03 22:40:32 - mmengine - INFO - Epoch(train) [212][180/1879] lr: 1.0000e-04 eta: 6:42:18 time: 0.2993 data_time: 0.0185 memory: 8198 grad_norm: 7.3604 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9668 loss: 0.9668 2022/08/03 22:40:42 - mmengine - INFO - Epoch(train) [212][200/1879] lr: 1.0000e-04 eta: 6:42:14 time: 0.5160 data_time: 0.2474 memory: 8198 grad_norm: 7.1369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/03 22:40:48 - mmengine - INFO - Epoch(train) [212][220/1879] lr: 1.0000e-04 eta: 6:42:08 time: 0.2900 data_time: 0.0205 memory: 8198 grad_norm: 7.2862 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/08/03 22:40:54 - mmengine - INFO - Epoch(train) [212][240/1879] lr: 1.0000e-04 eta: 6:42:02 time: 0.2935 data_time: 0.0230 memory: 8198 grad_norm: 7.2822 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9040 loss: 0.9040 2022/08/03 22:41:00 - mmengine - INFO - Epoch(train) [212][260/1879] lr: 1.0000e-04 eta: 6:41:57 time: 0.2880 data_time: 0.0228 memory: 8198 grad_norm: 7.5000 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/03 22:41:05 - mmengine - INFO - Epoch(train) [212][280/1879] lr: 1.0000e-04 eta: 6:41:51 time: 0.2879 data_time: 0.0274 memory: 8198 grad_norm: 7.0169 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1127 loss: 1.1127 2022/08/03 22:41:11 - mmengine - INFO - Epoch(train) [212][300/1879] lr: 1.0000e-04 eta: 6:41:45 time: 0.2895 data_time: 0.0200 memory: 8198 grad_norm: 7.0955 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0455 loss: 1.0455 2022/08/03 22:41:17 - mmengine - INFO - Epoch(train) [212][320/1879] lr: 1.0000e-04 eta: 6:41:39 time: 0.2858 data_time: 0.0277 memory: 8198 grad_norm: 7.2641 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9843 loss: 0.9843 2022/08/03 22:41:23 - mmengine - INFO - Epoch(train) [212][340/1879] lr: 1.0000e-04 eta: 6:41:34 time: 0.2871 data_time: 0.0242 memory: 8198 grad_norm: 7.1370 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9705 loss: 0.9705 2022/08/03 22:41:28 - mmengine - INFO - Epoch(train) [212][360/1879] lr: 1.0000e-04 eta: 6:41:28 time: 0.2839 data_time: 0.0212 memory: 8198 grad_norm: 7.2940 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0461 loss: 1.0461 2022/08/03 22:41:34 - mmengine - INFO - Epoch(train) [212][380/1879] lr: 1.0000e-04 eta: 6:41:22 time: 0.2896 data_time: 0.0190 memory: 8198 grad_norm: 7.2968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1444 loss: 1.1444 2022/08/03 22:41:40 - mmengine - INFO - Epoch(train) [212][400/1879] lr: 1.0000e-04 eta: 6:41:17 time: 0.2937 data_time: 0.0206 memory: 8198 grad_norm: 7.1852 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0389 loss: 1.0389 2022/08/03 22:41:46 - mmengine - INFO - Epoch(train) [212][420/1879] lr: 1.0000e-04 eta: 6:41:11 time: 0.2890 data_time: 0.0201 memory: 8198 grad_norm: 7.0021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8492 loss: 0.8492 2022/08/03 22:41:52 - mmengine - INFO - Epoch(train) [212][440/1879] lr: 1.0000e-04 eta: 6:41:05 time: 0.2936 data_time: 0.0237 memory: 8198 grad_norm: 7.2131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/08/03 22:41:58 - mmengine - INFO - Epoch(train) [212][460/1879] lr: 1.0000e-04 eta: 6:40:59 time: 0.2873 data_time: 0.0214 memory: 8198 grad_norm: 7.1386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9194 loss: 0.9194 2022/08/03 22:42:07 - mmengine - INFO - Epoch(train) [212][480/1879] lr: 1.0000e-04 eta: 6:40:55 time: 0.4802 data_time: 0.0191 memory: 8198 grad_norm: 7.1974 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0871 loss: 1.0871 2022/08/03 22:42:13 - mmengine - INFO - Epoch(train) [212][500/1879] lr: 1.0000e-04 eta: 6:40:49 time: 0.2887 data_time: 0.0215 memory: 8198 grad_norm: 7.4099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9810 loss: 0.9810 2022/08/03 22:42:19 - mmengine - INFO - Epoch(train) [212][520/1879] lr: 1.0000e-04 eta: 6:40:43 time: 0.2845 data_time: 0.0240 memory: 8198 grad_norm: 7.0341 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/03 22:42:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:42:25 - mmengine - INFO - Epoch(train) [212][540/1879] lr: 1.0000e-04 eta: 6:40:37 time: 0.2945 data_time: 0.0190 memory: 8198 grad_norm: 6.9367 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8330 loss: 0.8330 2022/08/03 22:42:30 - mmengine - INFO - Epoch(train) [212][560/1879] lr: 1.0000e-04 eta: 6:40:32 time: 0.2839 data_time: 0.0229 memory: 8198 grad_norm: 7.3906 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9660 loss: 0.9660 2022/08/03 22:42:36 - mmengine - INFO - Epoch(train) [212][580/1879] lr: 1.0000e-04 eta: 6:40:26 time: 0.3010 data_time: 0.0430 memory: 8198 grad_norm: 7.1946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/08/03 22:42:42 - mmengine - INFO - Epoch(train) [212][600/1879] lr: 1.0000e-04 eta: 6:40:20 time: 0.2869 data_time: 0.0187 memory: 8198 grad_norm: 7.2930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9799 loss: 0.9799 2022/08/03 22:42:48 - mmengine - INFO - Epoch(train) [212][620/1879] lr: 1.0000e-04 eta: 6:40:15 time: 0.2901 data_time: 0.0281 memory: 8198 grad_norm: 7.0751 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7799 loss: 0.7799 2022/08/03 22:42:54 - mmengine - INFO - Epoch(train) [212][640/1879] lr: 1.0000e-04 eta: 6:40:09 time: 0.2874 data_time: 0.0223 memory: 8198 grad_norm: 7.0772 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/03 22:43:00 - mmengine - INFO - Epoch(train) [212][660/1879] lr: 1.0000e-04 eta: 6:40:03 time: 0.2849 data_time: 0.0195 memory: 8198 grad_norm: 7.2678 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0385 loss: 1.0385 2022/08/03 22:43:05 - mmengine - INFO - Epoch(train) [212][680/1879] lr: 1.0000e-04 eta: 6:39:57 time: 0.2876 data_time: 0.0272 memory: 8198 grad_norm: 7.3172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9196 loss: 0.9196 2022/08/03 22:43:11 - mmengine - INFO - Epoch(train) [212][700/1879] lr: 1.0000e-04 eta: 6:39:52 time: 0.2900 data_time: 0.0243 memory: 8198 grad_norm: 7.5188 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9241 loss: 0.9241 2022/08/03 22:43:22 - mmengine - INFO - Epoch(train) [212][720/1879] lr: 1.0000e-04 eta: 6:39:47 time: 0.5523 data_time: 0.2817 memory: 8198 grad_norm: 7.0147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0164 loss: 1.0164 2022/08/03 22:43:28 - mmengine - INFO - Epoch(train) [212][740/1879] lr: 1.0000e-04 eta: 6:39:41 time: 0.2855 data_time: 0.0170 memory: 8198 grad_norm: 7.0956 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0038 loss: 1.0038 2022/08/03 22:43:34 - mmengine - INFO - Epoch(train) [212][760/1879] lr: 1.0000e-04 eta: 6:39:36 time: 0.2880 data_time: 0.0215 memory: 8198 grad_norm: 7.3463 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0711 loss: 1.0711 2022/08/03 22:43:39 - mmengine - INFO - Epoch(train) [212][780/1879] lr: 1.0000e-04 eta: 6:39:30 time: 0.2848 data_time: 0.0177 memory: 8198 grad_norm: 7.1694 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8786 loss: 0.8786 2022/08/03 22:43:45 - mmengine - INFO - Epoch(train) [212][800/1879] lr: 1.0000e-04 eta: 6:39:24 time: 0.2935 data_time: 0.0228 memory: 8198 grad_norm: 7.2603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8739 loss: 0.8739 2022/08/03 22:43:55 - mmengine - INFO - Epoch(train) [212][820/1879] lr: 1.0000e-04 eta: 6:39:19 time: 0.5029 data_time: 0.0261 memory: 8198 grad_norm: 7.4291 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8654 loss: 0.8654 2022/08/03 22:44:01 - mmengine - INFO - Epoch(train) [212][840/1879] lr: 1.0000e-04 eta: 6:39:14 time: 0.2873 data_time: 0.0209 memory: 8198 grad_norm: 7.2788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1299 loss: 1.1299 2022/08/03 22:44:07 - mmengine - INFO - Epoch(train) [212][860/1879] lr: 1.0000e-04 eta: 6:39:08 time: 0.2851 data_time: 0.0196 memory: 8198 grad_norm: 6.9335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7971 loss: 0.7971 2022/08/03 22:44:13 - mmengine - INFO - Epoch(train) [212][880/1879] lr: 1.0000e-04 eta: 6:39:02 time: 0.2882 data_time: 0.0218 memory: 8198 grad_norm: 6.7652 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9940 loss: 0.9940 2022/08/03 22:44:19 - mmengine - INFO - Epoch(train) [212][900/1879] lr: 1.0000e-04 eta: 6:38:57 time: 0.2872 data_time: 0.0243 memory: 8198 grad_norm: 7.2027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/08/03 22:44:24 - mmengine - INFO - Epoch(train) [212][920/1879] lr: 1.0000e-04 eta: 6:38:51 time: 0.2948 data_time: 0.0232 memory: 8198 grad_norm: 7.2186 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9654 loss: 0.9654 2022/08/03 22:44:30 - mmengine - INFO - Epoch(train) [212][940/1879] lr: 1.0000e-04 eta: 6:38:45 time: 0.2904 data_time: 0.0204 memory: 8198 grad_norm: 6.9875 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0574 loss: 1.0574 2022/08/03 22:44:36 - mmengine - INFO - Epoch(train) [212][960/1879] lr: 1.0000e-04 eta: 6:38:39 time: 0.2870 data_time: 0.0225 memory: 8198 grad_norm: 7.3453 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0560 loss: 1.0560 2022/08/03 22:44:42 - mmengine - INFO - Epoch(train) [212][980/1879] lr: 1.0000e-04 eta: 6:38:34 time: 0.2955 data_time: 0.0204 memory: 8198 grad_norm: 7.3449 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0212 loss: 1.0212 2022/08/03 22:44:48 - mmengine - INFO - Epoch(train) [212][1000/1879] lr: 1.0000e-04 eta: 6:38:28 time: 0.2838 data_time: 0.0203 memory: 8198 grad_norm: 7.0174 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8689 loss: 0.8689 2022/08/03 22:44:54 - mmengine - INFO - Epoch(train) [212][1020/1879] lr: 1.0000e-04 eta: 6:38:22 time: 0.2890 data_time: 0.0191 memory: 8198 grad_norm: 6.9810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8589 loss: 0.8589 2022/08/03 22:44:59 - mmengine - INFO - Epoch(train) [212][1040/1879] lr: 1.0000e-04 eta: 6:38:17 time: 0.2872 data_time: 0.0230 memory: 8198 grad_norm: 7.2133 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9185 loss: 0.9185 2022/08/03 22:45:05 - mmengine - INFO - Epoch(train) [212][1060/1879] lr: 1.0000e-04 eta: 6:38:11 time: 0.2971 data_time: 0.0214 memory: 8198 grad_norm: 7.1347 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8857 loss: 0.8857 2022/08/03 22:45:11 - mmengine - INFO - Epoch(train) [212][1080/1879] lr: 1.0000e-04 eta: 6:38:05 time: 0.2889 data_time: 0.0198 memory: 8198 grad_norm: 7.1485 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/08/03 22:45:17 - mmengine - INFO - Epoch(train) [212][1100/1879] lr: 1.0000e-04 eta: 6:38:00 time: 0.2869 data_time: 0.0224 memory: 8198 grad_norm: 7.3082 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7789 loss: 0.7789 2022/08/03 22:45:23 - mmengine - INFO - Epoch(train) [212][1120/1879] lr: 1.0000e-04 eta: 6:37:54 time: 0.2947 data_time: 0.0235 memory: 8198 grad_norm: 7.2132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8527 loss: 0.8527 2022/08/03 22:45:29 - mmengine - INFO - Epoch(train) [212][1140/1879] lr: 1.0000e-04 eta: 6:37:48 time: 0.2873 data_time: 0.0268 memory: 8198 grad_norm: 7.3190 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9004 loss: 0.9004 2022/08/03 22:45:34 - mmengine - INFO - Epoch(train) [212][1160/1879] lr: 1.0000e-04 eta: 6:37:42 time: 0.2880 data_time: 0.0224 memory: 8198 grad_norm: 7.3117 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1749 loss: 1.1749 2022/08/03 22:45:40 - mmengine - INFO - Epoch(train) [212][1180/1879] lr: 1.0000e-04 eta: 6:37:37 time: 0.2917 data_time: 0.0248 memory: 8198 grad_norm: 7.2016 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8994 loss: 0.8994 2022/08/03 22:45:46 - mmengine - INFO - Epoch(train) [212][1200/1879] lr: 1.0000e-04 eta: 6:37:31 time: 0.2900 data_time: 0.0215 memory: 8198 grad_norm: 7.4324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8871 loss: 0.8871 2022/08/03 22:45:52 - mmengine - INFO - Epoch(train) [212][1220/1879] lr: 1.0000e-04 eta: 6:37:25 time: 0.2866 data_time: 0.0178 memory: 8198 grad_norm: 7.4110 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/08/03 22:45:58 - mmengine - INFO - Epoch(train) [212][1240/1879] lr: 1.0000e-04 eta: 6:37:20 time: 0.2855 data_time: 0.0230 memory: 8198 grad_norm: 7.1833 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/08/03 22:46:03 - mmengine - INFO - Epoch(train) [212][1260/1879] lr: 1.0000e-04 eta: 6:37:14 time: 0.2933 data_time: 0.0210 memory: 8198 grad_norm: 7.4656 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9841 loss: 0.9841 2022/08/03 22:46:09 - mmengine - INFO - Epoch(train) [212][1280/1879] lr: 1.0000e-04 eta: 6:37:08 time: 0.2875 data_time: 0.0218 memory: 8198 grad_norm: 7.3920 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0662 loss: 1.0662 2022/08/03 22:46:15 - mmengine - INFO - Epoch(train) [212][1300/1879] lr: 1.0000e-04 eta: 6:37:02 time: 0.3046 data_time: 0.0212 memory: 8198 grad_norm: 7.4032 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9295 loss: 0.9295 2022/08/03 22:46:21 - mmengine - INFO - Epoch(train) [212][1320/1879] lr: 1.0000e-04 eta: 6:36:57 time: 0.2880 data_time: 0.0262 memory: 8198 grad_norm: 6.9886 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8841 loss: 0.8841 2022/08/03 22:46:27 - mmengine - INFO - Epoch(train) [212][1340/1879] lr: 1.0000e-04 eta: 6:36:51 time: 0.2902 data_time: 0.0267 memory: 8198 grad_norm: 7.1554 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0926 loss: 1.0926 2022/08/03 22:46:33 - mmengine - INFO - Epoch(train) [212][1360/1879] lr: 1.0000e-04 eta: 6:36:45 time: 0.2978 data_time: 0.0202 memory: 8198 grad_norm: 6.9319 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8354 loss: 0.8354 2022/08/03 22:46:39 - mmengine - INFO - Epoch(train) [212][1380/1879] lr: 1.0000e-04 eta: 6:36:40 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 7.1818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/03 22:46:45 - mmengine - INFO - Epoch(train) [212][1400/1879] lr: 1.0000e-04 eta: 6:36:34 time: 0.2946 data_time: 0.0251 memory: 8198 grad_norm: 7.1896 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1317 loss: 1.1317 2022/08/03 22:46:50 - mmengine - INFO - Epoch(train) [212][1420/1879] lr: 1.0000e-04 eta: 6:36:28 time: 0.2871 data_time: 0.0230 memory: 8198 grad_norm: 7.3281 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/08/03 22:46:56 - mmengine - INFO - Epoch(train) [212][1440/1879] lr: 1.0000e-04 eta: 6:36:23 time: 0.2927 data_time: 0.0277 memory: 8198 grad_norm: 7.3788 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0400 loss: 1.0400 2022/08/03 22:47:02 - mmengine - INFO - Epoch(train) [212][1460/1879] lr: 1.0000e-04 eta: 6:36:17 time: 0.2906 data_time: 0.0206 memory: 8198 grad_norm: 7.0981 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9809 loss: 0.9809 2022/08/03 22:47:08 - mmengine - INFO - Epoch(train) [212][1480/1879] lr: 1.0000e-04 eta: 6:36:11 time: 0.2868 data_time: 0.0238 memory: 8198 grad_norm: 7.2704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/08/03 22:47:14 - mmengine - INFO - Epoch(train) [212][1500/1879] lr: 1.0000e-04 eta: 6:36:05 time: 0.2925 data_time: 0.0192 memory: 8198 grad_norm: 7.3034 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/03 22:47:19 - mmengine - INFO - Epoch(train) [212][1520/1879] lr: 1.0000e-04 eta: 6:36:00 time: 0.2866 data_time: 0.0241 memory: 8198 grad_norm: 7.4085 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8808 loss: 0.8808 2022/08/03 22:47:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:47:25 - mmengine - INFO - Epoch(train) [212][1540/1879] lr: 1.0000e-04 eta: 6:35:54 time: 0.2933 data_time: 0.0236 memory: 8198 grad_norm: 7.1208 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/03 22:47:31 - mmengine - INFO - Epoch(train) [212][1560/1879] lr: 1.0000e-04 eta: 6:35:48 time: 0.2840 data_time: 0.0234 memory: 8198 grad_norm: 7.2264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8055 loss: 0.8055 2022/08/03 22:47:37 - mmengine - INFO - Epoch(train) [212][1580/1879] lr: 1.0000e-04 eta: 6:35:43 time: 0.2865 data_time: 0.0195 memory: 8198 grad_norm: 7.2521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/08/03 22:47:43 - mmengine - INFO - Epoch(train) [212][1600/1879] lr: 1.0000e-04 eta: 6:35:37 time: 0.2974 data_time: 0.0242 memory: 8198 grad_norm: 7.0991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8791 loss: 0.8791 2022/08/03 22:47:49 - mmengine - INFO - Epoch(train) [212][1620/1879] lr: 1.0000e-04 eta: 6:35:31 time: 0.2848 data_time: 0.0241 memory: 8198 grad_norm: 7.0608 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9279 loss: 0.9279 2022/08/03 22:47:54 - mmengine - INFO - Epoch(train) [212][1640/1879] lr: 1.0000e-04 eta: 6:35:25 time: 0.2859 data_time: 0.0195 memory: 8198 grad_norm: 7.5035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/08/03 22:48:00 - mmengine - INFO - Epoch(train) [212][1660/1879] lr: 1.0000e-04 eta: 6:35:20 time: 0.2839 data_time: 0.0218 memory: 8198 grad_norm: 7.1040 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8556 loss: 0.8556 2022/08/03 22:48:06 - mmengine - INFO - Epoch(train) [212][1680/1879] lr: 1.0000e-04 eta: 6:35:14 time: 0.3148 data_time: 0.0193 memory: 8198 grad_norm: 7.1058 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/08/03 22:48:12 - mmengine - INFO - Epoch(train) [212][1700/1879] lr: 1.0000e-04 eta: 6:35:08 time: 0.2830 data_time: 0.0229 memory: 8198 grad_norm: 7.2950 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0349 loss: 1.0349 2022/08/03 22:48:18 - mmengine - INFO - Epoch(train) [212][1720/1879] lr: 1.0000e-04 eta: 6:35:03 time: 0.2859 data_time: 0.0213 memory: 8198 grad_norm: 7.0541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9060 loss: 0.9060 2022/08/03 22:48:24 - mmengine - INFO - Epoch(train) [212][1740/1879] lr: 1.0000e-04 eta: 6:34:57 time: 0.3000 data_time: 0.0205 memory: 8198 grad_norm: 7.3716 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1613 loss: 1.1613 2022/08/03 22:48:29 - mmengine - INFO - Epoch(train) [212][1760/1879] lr: 1.0000e-04 eta: 6:34:51 time: 0.2853 data_time: 0.0233 memory: 8198 grad_norm: 7.1290 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7717 loss: 0.7717 2022/08/03 22:48:35 - mmengine - INFO - Epoch(train) [212][1780/1879] lr: 1.0000e-04 eta: 6:34:46 time: 0.2866 data_time: 0.0203 memory: 8198 grad_norm: 7.3742 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1310 loss: 1.1310 2022/08/03 22:48:41 - mmengine - INFO - Epoch(train) [212][1800/1879] lr: 1.0000e-04 eta: 6:34:40 time: 0.2955 data_time: 0.0205 memory: 8198 grad_norm: 7.2687 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8761 loss: 0.8761 2022/08/03 22:48:47 - mmengine - INFO - Epoch(train) [212][1820/1879] lr: 1.0000e-04 eta: 6:34:34 time: 0.2858 data_time: 0.0188 memory: 8198 grad_norm: 7.2097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8486 loss: 0.8486 2022/08/03 22:48:53 - mmengine - INFO - Epoch(train) [212][1840/1879] lr: 1.0000e-04 eta: 6:34:28 time: 0.2909 data_time: 0.0251 memory: 8198 grad_norm: 7.2580 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7673 loss: 0.7673 2022/08/03 22:48:58 - mmengine - INFO - Epoch(train) [212][1860/1879] lr: 1.0000e-04 eta: 6:34:23 time: 0.2837 data_time: 0.0220 memory: 8198 grad_norm: 7.3862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9591 loss: 0.9591 2022/08/03 22:49:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:49:03 - mmengine - INFO - Epoch(train) [212][1879/1879] lr: 1.0000e-04 eta: 6:34:23 time: 0.2606 data_time: 0.0148 memory: 8198 grad_norm: 7.5923 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2700 loss: 1.2700 2022/08/03 22:49:03 - mmengine - INFO - Saving checkpoint at 212 epochs 2022/08/03 22:49:15 - mmengine - INFO - Epoch(train) [213][20/1879] lr: 1.0000e-04 eta: 6:34:11 time: 0.4378 data_time: 0.1750 memory: 8198 grad_norm: 7.0783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9071 loss: 0.9071 2022/08/03 22:49:20 - mmengine - INFO - Epoch(train) [213][40/1879] lr: 1.0000e-04 eta: 6:34:05 time: 0.2884 data_time: 0.0178 memory: 8198 grad_norm: 7.3582 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1445 loss: 1.1445 2022/08/03 22:49:26 - mmengine - INFO - Epoch(train) [213][60/1879] lr: 1.0000e-04 eta: 6:34:00 time: 0.2917 data_time: 0.0244 memory: 8198 grad_norm: 7.0683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/08/03 22:49:32 - mmengine - INFO - Epoch(train) [213][80/1879] lr: 1.0000e-04 eta: 6:33:54 time: 0.2897 data_time: 0.0221 memory: 8198 grad_norm: 7.1453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9174 loss: 0.9174 2022/08/03 22:49:38 - mmengine - INFO - Epoch(train) [213][100/1879] lr: 1.0000e-04 eta: 6:33:48 time: 0.2861 data_time: 0.0211 memory: 8198 grad_norm: 7.1772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0533 loss: 1.0533 2022/08/03 22:49:44 - mmengine - INFO - Epoch(train) [213][120/1879] lr: 1.0000e-04 eta: 6:33:43 time: 0.2998 data_time: 0.0208 memory: 8198 grad_norm: 7.2085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9518 loss: 0.9518 2022/08/03 22:49:50 - mmengine - INFO - Epoch(train) [213][140/1879] lr: 1.0000e-04 eta: 6:33:37 time: 0.2821 data_time: 0.0201 memory: 8198 grad_norm: 7.3415 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/03 22:49:55 - mmengine - INFO - Epoch(train) [213][160/1879] lr: 1.0000e-04 eta: 6:33:31 time: 0.2906 data_time: 0.0230 memory: 8198 grad_norm: 7.1380 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8312 loss: 0.8312 2022/08/03 22:50:01 - mmengine - INFO - Epoch(train) [213][180/1879] lr: 1.0000e-04 eta: 6:33:25 time: 0.2896 data_time: 0.0215 memory: 8198 grad_norm: 7.0315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9837 loss: 0.9837 2022/08/03 22:50:07 - mmengine - INFO - Epoch(train) [213][200/1879] lr: 1.0000e-04 eta: 6:33:20 time: 0.2885 data_time: 0.0227 memory: 8198 grad_norm: 7.3296 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/08/03 22:50:13 - mmengine - INFO - Epoch(train) [213][220/1879] lr: 1.0000e-04 eta: 6:33:14 time: 0.2905 data_time: 0.0253 memory: 8198 grad_norm: 7.1355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9983 loss: 0.9983 2022/08/03 22:50:19 - mmengine - INFO - Epoch(train) [213][240/1879] lr: 1.0000e-04 eta: 6:33:08 time: 0.2865 data_time: 0.0229 memory: 8198 grad_norm: 7.2580 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/03 22:50:24 - mmengine - INFO - Epoch(train) [213][260/1879] lr: 1.0000e-04 eta: 6:33:03 time: 0.2844 data_time: 0.0241 memory: 8198 grad_norm: 7.2682 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9892 loss: 0.9892 2022/08/03 22:50:30 - mmengine - INFO - Epoch(train) [213][280/1879] lr: 1.0000e-04 eta: 6:32:57 time: 0.2882 data_time: 0.0259 memory: 8198 grad_norm: 7.1426 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/08/03 22:50:36 - mmengine - INFO - Epoch(train) [213][300/1879] lr: 1.0000e-04 eta: 6:32:51 time: 0.2873 data_time: 0.0189 memory: 8198 grad_norm: 7.2268 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9145 loss: 0.9145 2022/08/03 22:50:42 - mmengine - INFO - Epoch(train) [213][320/1879] lr: 1.0000e-04 eta: 6:32:45 time: 0.2858 data_time: 0.0224 memory: 8198 grad_norm: 6.9646 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7965 loss: 0.7965 2022/08/03 22:50:47 - mmengine - INFO - Epoch(train) [213][340/1879] lr: 1.0000e-04 eta: 6:32:40 time: 0.2846 data_time: 0.0194 memory: 8198 grad_norm: 7.1981 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/08/03 22:50:53 - mmengine - INFO - Epoch(train) [213][360/1879] lr: 1.0000e-04 eta: 6:32:34 time: 0.2844 data_time: 0.0205 memory: 8198 grad_norm: 7.2941 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9546 loss: 0.9546 2022/08/03 22:50:59 - mmengine - INFO - Epoch(train) [213][380/1879] lr: 1.0000e-04 eta: 6:32:28 time: 0.2847 data_time: 0.0228 memory: 8198 grad_norm: 7.2595 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7929 loss: 0.7929 2022/08/03 22:51:05 - mmengine - INFO - Epoch(train) [213][400/1879] lr: 1.0000e-04 eta: 6:32:22 time: 0.2913 data_time: 0.0289 memory: 8198 grad_norm: 7.2065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8480 loss: 0.8480 2022/08/03 22:51:10 - mmengine - INFO - Epoch(train) [213][420/1879] lr: 1.0000e-04 eta: 6:32:17 time: 0.2861 data_time: 0.0193 memory: 8198 grad_norm: 7.2011 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/03 22:51:16 - mmengine - INFO - Epoch(train) [213][440/1879] lr: 1.0000e-04 eta: 6:32:11 time: 0.2895 data_time: 0.0217 memory: 8198 grad_norm: 7.0229 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8560 loss: 0.8560 2022/08/03 22:51:22 - mmengine - INFO - Epoch(train) [213][460/1879] lr: 1.0000e-04 eta: 6:32:05 time: 0.2864 data_time: 0.0247 memory: 8198 grad_norm: 7.0200 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/03 22:51:28 - mmengine - INFO - Epoch(train) [213][480/1879] lr: 1.0000e-04 eta: 6:32:00 time: 0.2842 data_time: 0.0243 memory: 8198 grad_norm: 7.1733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0355 loss: 1.0355 2022/08/03 22:51:34 - mmengine - INFO - Epoch(train) [213][500/1879] lr: 1.0000e-04 eta: 6:31:54 time: 0.3003 data_time: 0.0248 memory: 8198 grad_norm: 7.5137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9606 loss: 0.9606 2022/08/03 22:51:39 - mmengine - INFO - Epoch(train) [213][520/1879] lr: 1.0000e-04 eta: 6:31:48 time: 0.2842 data_time: 0.0234 memory: 8198 grad_norm: 7.2823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9440 loss: 0.9440 2022/08/03 22:51:45 - mmengine - INFO - Epoch(train) [213][540/1879] lr: 1.0000e-04 eta: 6:31:42 time: 0.2880 data_time: 0.0220 memory: 8198 grad_norm: 7.4354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9194 loss: 0.9194 2022/08/03 22:51:51 - mmengine - INFO - Epoch(train) [213][560/1879] lr: 1.0000e-04 eta: 6:31:37 time: 0.3034 data_time: 0.0241 memory: 8198 grad_norm: 7.3265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/08/03 22:51:57 - mmengine - INFO - Epoch(train) [213][580/1879] lr: 1.0000e-04 eta: 6:31:31 time: 0.2836 data_time: 0.0196 memory: 8198 grad_norm: 7.2268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9142 loss: 0.9142 2022/08/03 22:52:03 - mmengine - INFO - Epoch(train) [213][600/1879] lr: 1.0000e-04 eta: 6:31:25 time: 0.2880 data_time: 0.0209 memory: 8198 grad_norm: 7.4634 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9365 loss: 0.9365 2022/08/03 22:52:09 - mmengine - INFO - Epoch(train) [213][620/1879] lr: 1.0000e-04 eta: 6:31:20 time: 0.2848 data_time: 0.0190 memory: 8198 grad_norm: 7.2471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9438 loss: 0.9438 2022/08/03 22:52:14 - mmengine - INFO - Epoch(train) [213][640/1879] lr: 1.0000e-04 eta: 6:31:14 time: 0.2884 data_time: 0.0267 memory: 8198 grad_norm: 7.1411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9383 loss: 0.9383 2022/08/03 22:52:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:52:20 - mmengine - INFO - Epoch(train) [213][660/1879] lr: 1.0000e-04 eta: 6:31:08 time: 0.2861 data_time: 0.0205 memory: 8198 grad_norm: 7.0587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8844 loss: 0.8844 2022/08/03 22:52:26 - mmengine - INFO - Epoch(train) [213][680/1879] lr: 1.0000e-04 eta: 6:31:03 time: 0.2953 data_time: 0.0256 memory: 8198 grad_norm: 7.3807 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0793 loss: 1.0793 2022/08/03 22:52:32 - mmengine - INFO - Epoch(train) [213][700/1879] lr: 1.0000e-04 eta: 6:30:57 time: 0.2881 data_time: 0.0222 memory: 8198 grad_norm: 7.1136 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1300 loss: 1.1300 2022/08/03 22:52:38 - mmengine - INFO - Epoch(train) [213][720/1879] lr: 1.0000e-04 eta: 6:30:51 time: 0.2839 data_time: 0.0230 memory: 8198 grad_norm: 7.4472 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0967 loss: 1.0967 2022/08/03 22:52:43 - mmengine - INFO - Epoch(train) [213][740/1879] lr: 1.0000e-04 eta: 6:30:45 time: 0.2865 data_time: 0.0209 memory: 8198 grad_norm: 7.0508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8378 loss: 0.8378 2022/08/03 22:52:49 - mmengine - INFO - Epoch(train) [213][760/1879] lr: 1.0000e-04 eta: 6:30:40 time: 0.2848 data_time: 0.0201 memory: 8198 grad_norm: 7.3936 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0094 loss: 1.0094 2022/08/03 22:52:55 - mmengine - INFO - Epoch(train) [213][780/1879] lr: 1.0000e-04 eta: 6:30:34 time: 0.2918 data_time: 0.0231 memory: 8198 grad_norm: 7.2088 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0292 loss: 1.0292 2022/08/03 22:53:01 - mmengine - INFO - Epoch(train) [213][800/1879] lr: 1.0000e-04 eta: 6:30:28 time: 0.2841 data_time: 0.0200 memory: 8198 grad_norm: 7.5151 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9604 loss: 0.9604 2022/08/03 22:53:06 - mmengine - INFO - Epoch(train) [213][820/1879] lr: 1.0000e-04 eta: 6:30:22 time: 0.2886 data_time: 0.0296 memory: 8198 grad_norm: 6.9160 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9397 loss: 0.9397 2022/08/03 22:53:12 - mmengine - INFO - Epoch(train) [213][840/1879] lr: 1.0000e-04 eta: 6:30:17 time: 0.2862 data_time: 0.0196 memory: 8198 grad_norm: 7.0967 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7542 loss: 0.7542 2022/08/03 22:53:18 - mmengine - INFO - Epoch(train) [213][860/1879] lr: 1.0000e-04 eta: 6:30:11 time: 0.2864 data_time: 0.0208 memory: 8198 grad_norm: 7.2449 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9296 loss: 0.9296 2022/08/03 22:53:24 - mmengine - INFO - Epoch(train) [213][880/1879] lr: 1.0000e-04 eta: 6:30:05 time: 0.2941 data_time: 0.0243 memory: 8198 grad_norm: 6.9953 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8419 loss: 0.8419 2022/08/03 22:53:30 - mmengine - INFO - Epoch(train) [213][900/1879] lr: 1.0000e-04 eta: 6:30:00 time: 0.2851 data_time: 0.0257 memory: 8198 grad_norm: 7.3314 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0185 loss: 1.0185 2022/08/03 22:53:35 - mmengine - INFO - Epoch(train) [213][920/1879] lr: 1.0000e-04 eta: 6:29:54 time: 0.2884 data_time: 0.0201 memory: 8198 grad_norm: 7.3473 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0471 loss: 1.0471 2022/08/03 22:53:41 - mmengine - INFO - Epoch(train) [213][940/1879] lr: 1.0000e-04 eta: 6:29:48 time: 0.2959 data_time: 0.0193 memory: 8198 grad_norm: 7.1545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9617 loss: 0.9617 2022/08/03 22:53:47 - mmengine - INFO - Epoch(train) [213][960/1879] lr: 1.0000e-04 eta: 6:29:42 time: 0.2835 data_time: 0.0208 memory: 8198 grad_norm: 7.1249 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/08/03 22:53:53 - mmengine - INFO - Epoch(train) [213][980/1879] lr: 1.0000e-04 eta: 6:29:37 time: 0.2904 data_time: 0.0263 memory: 8198 grad_norm: 7.1575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/08/03 22:53:59 - mmengine - INFO - Epoch(train) [213][1000/1879] lr: 1.0000e-04 eta: 6:29:31 time: 0.2848 data_time: 0.0229 memory: 8198 grad_norm: 7.1319 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/03 22:54:05 - mmengine - INFO - Epoch(train) [213][1020/1879] lr: 1.0000e-04 eta: 6:29:25 time: 0.3000 data_time: 0.0204 memory: 8198 grad_norm: 7.0450 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8030 loss: 0.8030 2022/08/03 22:54:10 - mmengine - INFO - Epoch(train) [213][1040/1879] lr: 1.0000e-04 eta: 6:29:20 time: 0.2848 data_time: 0.0203 memory: 8198 grad_norm: 7.0602 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/08/03 22:54:16 - mmengine - INFO - Epoch(train) [213][1060/1879] lr: 1.0000e-04 eta: 6:29:14 time: 0.2904 data_time: 0.0238 memory: 8198 grad_norm: 7.0790 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7939 loss: 0.7939 2022/08/03 22:54:22 - mmengine - INFO - Epoch(train) [213][1080/1879] lr: 1.0000e-04 eta: 6:29:08 time: 0.3071 data_time: 0.0198 memory: 8198 grad_norm: 7.0345 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8740 loss: 0.8740 2022/08/03 22:54:28 - mmengine - INFO - Epoch(train) [213][1100/1879] lr: 1.0000e-04 eta: 6:29:03 time: 0.2859 data_time: 0.0194 memory: 8198 grad_norm: 7.5239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0039 loss: 1.0039 2022/08/03 22:54:34 - mmengine - INFO - Epoch(train) [213][1120/1879] lr: 1.0000e-04 eta: 6:28:57 time: 0.2906 data_time: 0.0280 memory: 8198 grad_norm: 7.3505 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0226 loss: 1.0226 2022/08/03 22:54:40 - mmengine - INFO - Epoch(train) [213][1140/1879] lr: 1.0000e-04 eta: 6:28:51 time: 0.2847 data_time: 0.0253 memory: 8198 grad_norm: 7.1698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0104 loss: 1.0104 2022/08/03 22:54:45 - mmengine - INFO - Epoch(train) [213][1160/1879] lr: 1.0000e-04 eta: 6:28:45 time: 0.2901 data_time: 0.0188 memory: 8198 grad_norm: 7.3920 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0315 loss: 1.0315 2022/08/03 22:54:51 - mmengine - INFO - Epoch(train) [213][1180/1879] lr: 1.0000e-04 eta: 6:28:40 time: 0.2867 data_time: 0.0238 memory: 8198 grad_norm: 7.2651 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8878 loss: 0.8878 2022/08/03 22:54:57 - mmengine - INFO - Epoch(train) [213][1200/1879] lr: 1.0000e-04 eta: 6:28:34 time: 0.2865 data_time: 0.0235 memory: 8198 grad_norm: 7.3689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9899 loss: 0.9899 2022/08/03 22:55:03 - mmengine - INFO - Epoch(train) [213][1220/1879] lr: 1.0000e-04 eta: 6:28:28 time: 0.2887 data_time: 0.0229 memory: 8198 grad_norm: 7.2712 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8966 loss: 0.8966 2022/08/03 22:55:09 - mmengine - INFO - Epoch(train) [213][1240/1879] lr: 1.0000e-04 eta: 6:28:23 time: 0.2856 data_time: 0.0180 memory: 8198 grad_norm: 7.4632 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8601 loss: 0.8601 2022/08/03 22:55:14 - mmengine - INFO - Epoch(train) [213][1260/1879] lr: 1.0000e-04 eta: 6:28:17 time: 0.2935 data_time: 0.0238 memory: 8198 grad_norm: 7.2028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7487 loss: 0.7487 2022/08/03 22:55:20 - mmengine - INFO - Epoch(train) [213][1280/1879] lr: 1.0000e-04 eta: 6:28:11 time: 0.2819 data_time: 0.0211 memory: 8198 grad_norm: 7.0856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8644 loss: 0.8644 2022/08/03 22:55:26 - mmengine - INFO - Epoch(train) [213][1300/1879] lr: 1.0000e-04 eta: 6:28:05 time: 0.2887 data_time: 0.0266 memory: 8198 grad_norm: 7.2766 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1435 loss: 1.1435 2022/08/03 22:55:32 - mmengine - INFO - Epoch(train) [213][1320/1879] lr: 1.0000e-04 eta: 6:28:00 time: 0.2857 data_time: 0.0254 memory: 8198 grad_norm: 7.3786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0024 loss: 1.0024 2022/08/03 22:55:37 - mmengine - INFO - Epoch(train) [213][1340/1879] lr: 1.0000e-04 eta: 6:27:54 time: 0.2883 data_time: 0.0271 memory: 8198 grad_norm: 7.1348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1033 loss: 1.1033 2022/08/03 22:55:43 - mmengine - INFO - Epoch(train) [213][1360/1879] lr: 1.0000e-04 eta: 6:27:48 time: 0.2942 data_time: 0.0207 memory: 8198 grad_norm: 7.1303 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0286 loss: 1.0286 2022/08/03 22:55:49 - mmengine - INFO - Epoch(train) [213][1380/1879] lr: 1.0000e-04 eta: 6:27:43 time: 0.2849 data_time: 0.0212 memory: 8198 grad_norm: 7.2718 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9927 loss: 0.9927 2022/08/03 22:55:55 - mmengine - INFO - Epoch(train) [213][1400/1879] lr: 1.0000e-04 eta: 6:27:37 time: 0.2890 data_time: 0.0277 memory: 8198 grad_norm: 7.3701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7398 loss: 0.7398 2022/08/03 22:56:01 - mmengine - INFO - Epoch(train) [213][1420/1879] lr: 1.0000e-04 eta: 6:27:31 time: 0.2873 data_time: 0.0207 memory: 8198 grad_norm: 6.9878 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/03 22:56:06 - mmengine - INFO - Epoch(train) [213][1440/1879] lr: 1.0000e-04 eta: 6:27:25 time: 0.2837 data_time: 0.0242 memory: 8198 grad_norm: 7.3643 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/08/03 22:56:12 - mmengine - INFO - Epoch(train) [213][1460/1879] lr: 1.0000e-04 eta: 6:27:20 time: 0.2873 data_time: 0.0232 memory: 8198 grad_norm: 7.3220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8597 loss: 0.8597 2022/08/03 22:56:18 - mmengine - INFO - Epoch(train) [213][1480/1879] lr: 1.0000e-04 eta: 6:27:14 time: 0.2899 data_time: 0.0250 memory: 8198 grad_norm: 7.0990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8101 loss: 0.8101 2022/08/03 22:56:24 - mmengine - INFO - Epoch(train) [213][1500/1879] lr: 1.0000e-04 eta: 6:27:08 time: 0.2850 data_time: 0.0236 memory: 8198 grad_norm: 7.3365 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9453 loss: 0.9453 2022/08/03 22:56:29 - mmengine - INFO - Epoch(train) [213][1520/1879] lr: 1.0000e-04 eta: 6:27:03 time: 0.2844 data_time: 0.0186 memory: 8198 grad_norm: 7.4053 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0485 loss: 1.0485 2022/08/03 22:56:35 - mmengine - INFO - Epoch(train) [213][1540/1879] lr: 1.0000e-04 eta: 6:26:57 time: 0.2865 data_time: 0.0225 memory: 8198 grad_norm: 7.2974 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9755 loss: 0.9755 2022/08/03 22:56:41 - mmengine - INFO - Epoch(train) [213][1560/1879] lr: 1.0000e-04 eta: 6:26:51 time: 0.2872 data_time: 0.0226 memory: 8198 grad_norm: 7.2248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9179 loss: 0.9179 2022/08/03 22:56:47 - mmengine - INFO - Epoch(train) [213][1580/1879] lr: 1.0000e-04 eta: 6:26:45 time: 0.2857 data_time: 0.0186 memory: 8198 grad_norm: 7.4701 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/08/03 22:56:53 - mmengine - INFO - Epoch(train) [213][1600/1879] lr: 1.0000e-04 eta: 6:26:40 time: 0.2900 data_time: 0.0248 memory: 8198 grad_norm: 7.4850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8557 loss: 0.8557 2022/08/03 22:56:58 - mmengine - INFO - Epoch(train) [213][1620/1879] lr: 1.0000e-04 eta: 6:26:34 time: 0.2866 data_time: 0.0195 memory: 8198 grad_norm: 7.2095 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9182 loss: 0.9182 2022/08/03 22:57:04 - mmengine - INFO - Epoch(train) [213][1640/1879] lr: 1.0000e-04 eta: 6:26:28 time: 0.2914 data_time: 0.0236 memory: 8198 grad_norm: 7.2536 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9445 loss: 0.9445 2022/08/03 22:57:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:57:10 - mmengine - INFO - Epoch(train) [213][1660/1879] lr: 1.0000e-04 eta: 6:26:22 time: 0.2825 data_time: 0.0212 memory: 8198 grad_norm: 7.2628 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/03 22:57:16 - mmengine - INFO - Epoch(train) [213][1680/1879] lr: 1.0000e-04 eta: 6:26:17 time: 0.2923 data_time: 0.0205 memory: 8198 grad_norm: 7.2888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1329 loss: 1.1329 2022/08/03 22:57:22 - mmengine - INFO - Epoch(train) [213][1700/1879] lr: 1.0000e-04 eta: 6:26:11 time: 0.3058 data_time: 0.0350 memory: 8198 grad_norm: 7.2852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/08/03 22:57:28 - mmengine - INFO - Epoch(train) [213][1720/1879] lr: 1.0000e-04 eta: 6:26:05 time: 0.2848 data_time: 0.0234 memory: 8198 grad_norm: 7.3593 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0080 loss: 1.0080 2022/08/03 22:57:33 - mmengine - INFO - Epoch(train) [213][1740/1879] lr: 1.0000e-04 eta: 6:26:00 time: 0.2817 data_time: 0.0212 memory: 8198 grad_norm: 7.2390 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9770 loss: 0.9770 2022/08/03 22:57:39 - mmengine - INFO - Epoch(train) [213][1760/1879] lr: 1.0000e-04 eta: 6:25:54 time: 0.2908 data_time: 0.0251 memory: 8198 grad_norm: 7.1323 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9078 loss: 0.9078 2022/08/03 22:57:45 - mmengine - INFO - Epoch(train) [213][1780/1879] lr: 1.0000e-04 eta: 6:25:48 time: 0.2867 data_time: 0.0201 memory: 8198 grad_norm: 7.2531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8788 loss: 0.8788 2022/08/03 22:57:51 - mmengine - INFO - Epoch(train) [213][1800/1879] lr: 1.0000e-04 eta: 6:25:43 time: 0.2878 data_time: 0.0191 memory: 8198 grad_norm: 7.4622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/08/03 22:57:57 - mmengine - INFO - Epoch(train) [213][1820/1879] lr: 1.0000e-04 eta: 6:25:37 time: 0.2947 data_time: 0.0241 memory: 8198 grad_norm: 7.2857 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0355 loss: 1.0355 2022/08/03 22:58:02 - mmengine - INFO - Epoch(train) [213][1840/1879] lr: 1.0000e-04 eta: 6:25:31 time: 0.2931 data_time: 0.0318 memory: 8198 grad_norm: 7.2388 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9632 loss: 0.9632 2022/08/03 22:58:08 - mmengine - INFO - Epoch(train) [213][1860/1879] lr: 1.0000e-04 eta: 6:25:25 time: 0.2886 data_time: 0.0214 memory: 8198 grad_norm: 7.1969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8597 loss: 0.8597 2022/08/03 22:58:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 22:58:13 - mmengine - INFO - Epoch(train) [213][1879/1879] lr: 1.0000e-04 eta: 6:25:25 time: 0.2720 data_time: 0.0176 memory: 8198 grad_norm: 7.4937 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9676 loss: 0.9676 2022/08/03 22:58:22 - mmengine - INFO - Epoch(train) [214][20/1879] lr: 1.0000e-04 eta: 6:25:14 time: 0.4094 data_time: 0.1073 memory: 8198 grad_norm: 7.1177 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9631 loss: 0.9631 2022/08/03 22:58:28 - mmengine - INFO - Epoch(train) [214][40/1879] lr: 1.0000e-04 eta: 6:25:08 time: 0.2932 data_time: 0.0222 memory: 8198 grad_norm: 7.2363 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0231 loss: 1.0231 2022/08/03 22:58:34 - mmengine - INFO - Epoch(train) [214][60/1879] lr: 1.0000e-04 eta: 6:25:02 time: 0.3106 data_time: 0.0185 memory: 8198 grad_norm: 7.3327 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9670 loss: 0.9670 2022/08/03 22:58:40 - mmengine - INFO - Epoch(train) [214][80/1879] lr: 1.0000e-04 eta: 6:24:57 time: 0.2837 data_time: 0.0195 memory: 8198 grad_norm: 7.2318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9477 loss: 0.9477 2022/08/03 22:58:45 - mmengine - INFO - Epoch(train) [214][100/1879] lr: 1.0000e-04 eta: 6:24:51 time: 0.2932 data_time: 0.0197 memory: 8198 grad_norm: 7.1931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0074 loss: 1.0074 2022/08/03 22:58:51 - mmengine - INFO - Epoch(train) [214][120/1879] lr: 1.0000e-04 eta: 6:24:45 time: 0.2876 data_time: 0.0231 memory: 8198 grad_norm: 7.4050 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0826 loss: 1.0826 2022/08/03 22:58:57 - mmengine - INFO - Epoch(train) [214][140/1879] lr: 1.0000e-04 eta: 6:24:39 time: 0.2871 data_time: 0.0239 memory: 8198 grad_norm: 7.1287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/08/03 22:59:03 - mmengine - INFO - Epoch(train) [214][160/1879] lr: 1.0000e-04 eta: 6:24:34 time: 0.2953 data_time: 0.0224 memory: 8198 grad_norm: 7.0927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/03 22:59:09 - mmengine - INFO - Epoch(train) [214][180/1879] lr: 1.0000e-04 eta: 6:24:28 time: 0.2849 data_time: 0.0257 memory: 8198 grad_norm: 6.8414 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8105 loss: 0.8105 2022/08/03 22:59:14 - mmengine - INFO - Epoch(train) [214][200/1879] lr: 1.0000e-04 eta: 6:24:22 time: 0.2879 data_time: 0.0251 memory: 8198 grad_norm: 7.2218 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9449 loss: 0.9449 2022/08/03 22:59:20 - mmengine - INFO - Epoch(train) [214][220/1879] lr: 1.0000e-04 eta: 6:24:17 time: 0.2878 data_time: 0.0236 memory: 8198 grad_norm: 7.2109 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7963 loss: 0.7963 2022/08/03 22:59:26 - mmengine - INFO - Epoch(train) [214][240/1879] lr: 1.0000e-04 eta: 6:24:11 time: 0.3004 data_time: 0.0209 memory: 8198 grad_norm: 7.1890 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8627 loss: 0.8627 2022/08/03 22:59:32 - mmengine - INFO - Epoch(train) [214][260/1879] lr: 1.0000e-04 eta: 6:24:05 time: 0.2868 data_time: 0.0205 memory: 8198 grad_norm: 7.2086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0443 loss: 1.0443 2022/08/03 22:59:38 - mmengine - INFO - Epoch(train) [214][280/1879] lr: 1.0000e-04 eta: 6:24:00 time: 0.2893 data_time: 0.0220 memory: 8198 grad_norm: 7.2718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0887 loss: 1.0887 2022/08/03 22:59:44 - mmengine - INFO - Epoch(train) [214][300/1879] lr: 1.0000e-04 eta: 6:23:54 time: 0.2873 data_time: 0.0218 memory: 8198 grad_norm: 6.9745 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/03 22:59:49 - mmengine - INFO - Epoch(train) [214][320/1879] lr: 1.0000e-04 eta: 6:23:48 time: 0.2861 data_time: 0.0204 memory: 8198 grad_norm: 7.3020 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9752 loss: 0.9752 2022/08/03 22:59:55 - mmengine - INFO - Epoch(train) [214][340/1879] lr: 1.0000e-04 eta: 6:23:42 time: 0.2859 data_time: 0.0211 memory: 8198 grad_norm: 7.2602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9878 loss: 0.9878 2022/08/03 23:00:01 - mmengine - INFO - Epoch(train) [214][360/1879] lr: 1.0000e-04 eta: 6:23:37 time: 0.2879 data_time: 0.0275 memory: 8198 grad_norm: 7.2586 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8723 loss: 0.8723 2022/08/03 23:00:07 - mmengine - INFO - Epoch(train) [214][380/1879] lr: 1.0000e-04 eta: 6:23:31 time: 0.2891 data_time: 0.0227 memory: 8198 grad_norm: 7.0254 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0383 loss: 1.0383 2022/08/03 23:00:13 - mmengine - INFO - Epoch(train) [214][400/1879] lr: 1.0000e-04 eta: 6:23:25 time: 0.2882 data_time: 0.0205 memory: 8198 grad_norm: 7.4713 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0270 loss: 1.0270 2022/08/03 23:00:18 - mmengine - INFO - Epoch(train) [214][420/1879] lr: 1.0000e-04 eta: 6:23:20 time: 0.2852 data_time: 0.0261 memory: 8198 grad_norm: 7.4563 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8937 loss: 0.8937 2022/08/03 23:00:24 - mmengine - INFO - Epoch(train) [214][440/1879] lr: 1.0000e-04 eta: 6:23:14 time: 0.2872 data_time: 0.0240 memory: 8198 grad_norm: 7.0602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0676 loss: 1.0676 2022/08/03 23:00:30 - mmengine - INFO - Epoch(train) [214][460/1879] lr: 1.0000e-04 eta: 6:23:08 time: 0.2838 data_time: 0.0207 memory: 8198 grad_norm: 7.3278 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/03 23:00:36 - mmengine - INFO - Epoch(train) [214][480/1879] lr: 1.0000e-04 eta: 6:23:02 time: 0.2876 data_time: 0.0202 memory: 8198 grad_norm: 6.8370 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1384 loss: 1.1384 2022/08/03 23:00:41 - mmengine - INFO - Epoch(train) [214][500/1879] lr: 1.0000e-04 eta: 6:22:57 time: 0.2929 data_time: 0.0213 memory: 8198 grad_norm: 7.2788 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8333 loss: 0.8333 2022/08/03 23:00:47 - mmengine - INFO - Epoch(train) [214][520/1879] lr: 1.0000e-04 eta: 6:22:51 time: 0.2859 data_time: 0.0206 memory: 8198 grad_norm: 7.2041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0783 loss: 1.0783 2022/08/03 23:00:53 - mmengine - INFO - Epoch(train) [214][540/1879] lr: 1.0000e-04 eta: 6:22:45 time: 0.2853 data_time: 0.0233 memory: 8198 grad_norm: 6.8718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9432 loss: 0.9432 2022/08/03 23:00:59 - mmengine - INFO - Epoch(train) [214][560/1879] lr: 1.0000e-04 eta: 6:22:39 time: 0.2869 data_time: 0.0213 memory: 8198 grad_norm: 7.2906 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8926 loss: 0.8926 2022/08/03 23:01:05 - mmengine - INFO - Epoch(train) [214][580/1879] lr: 1.0000e-04 eta: 6:22:34 time: 0.2918 data_time: 0.0219 memory: 8198 grad_norm: 7.3022 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/03 23:01:10 - mmengine - INFO - Epoch(train) [214][600/1879] lr: 1.0000e-04 eta: 6:22:28 time: 0.2850 data_time: 0.0235 memory: 8198 grad_norm: 7.2507 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9070 loss: 0.9070 2022/08/03 23:01:16 - mmengine - INFO - Epoch(train) [214][620/1879] lr: 1.0000e-04 eta: 6:22:22 time: 0.2860 data_time: 0.0179 memory: 8198 grad_norm: 7.2013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9711 loss: 0.9711 2022/08/03 23:01:22 - mmengine - INFO - Epoch(train) [214][640/1879] lr: 1.0000e-04 eta: 6:22:17 time: 0.2892 data_time: 0.0207 memory: 8198 grad_norm: 7.0923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8652 loss: 0.8652 2022/08/03 23:01:28 - mmengine - INFO - Epoch(train) [214][660/1879] lr: 1.0000e-04 eta: 6:22:11 time: 0.2843 data_time: 0.0231 memory: 8198 grad_norm: 7.3649 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9128 loss: 0.9128 2022/08/03 23:01:33 - mmengine - INFO - Epoch(train) [214][680/1879] lr: 1.0000e-04 eta: 6:22:05 time: 0.2870 data_time: 0.0291 memory: 8198 grad_norm: 7.0935 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0800 loss: 1.0800 2022/08/03 23:01:39 - mmengine - INFO - Epoch(train) [214][700/1879] lr: 1.0000e-04 eta: 6:21:59 time: 0.2832 data_time: 0.0175 memory: 8198 grad_norm: 7.2012 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/08/03 23:01:45 - mmengine - INFO - Epoch(train) [214][720/1879] lr: 1.0000e-04 eta: 6:21:54 time: 0.3016 data_time: 0.0202 memory: 8198 grad_norm: 7.2161 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9566 loss: 0.9566 2022/08/03 23:01:51 - mmengine - INFO - Epoch(train) [214][740/1879] lr: 1.0000e-04 eta: 6:21:48 time: 0.2835 data_time: 0.0200 memory: 8198 grad_norm: 7.0848 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0043 loss: 1.0043 2022/08/03 23:01:57 - mmengine - INFO - Epoch(train) [214][760/1879] lr: 1.0000e-04 eta: 6:21:42 time: 0.2893 data_time: 0.0253 memory: 8198 grad_norm: 7.2831 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1228 loss: 1.1228 2022/08/03 23:02:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:02:02 - mmengine - INFO - Epoch(train) [214][780/1879] lr: 1.0000e-04 eta: 6:21:37 time: 0.2917 data_time: 0.0231 memory: 8198 grad_norm: 6.9087 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0859 loss: 1.0859 2022/08/03 23:02:08 - mmengine - INFO - Epoch(train) [214][800/1879] lr: 1.0000e-04 eta: 6:21:31 time: 0.2850 data_time: 0.0237 memory: 8198 grad_norm: 7.2357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8066 loss: 0.8066 2022/08/03 23:02:14 - mmengine - INFO - Epoch(train) [214][820/1879] lr: 1.0000e-04 eta: 6:21:25 time: 0.2862 data_time: 0.0215 memory: 8198 grad_norm: 7.1743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9589 loss: 0.9589 2022/08/03 23:02:20 - mmengine - INFO - Epoch(train) [214][840/1879] lr: 1.0000e-04 eta: 6:21:19 time: 0.2859 data_time: 0.0208 memory: 8198 grad_norm: 7.1996 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8299 loss: 0.8299 2022/08/03 23:02:26 - mmengine - INFO - Epoch(train) [214][860/1879] lr: 1.0000e-04 eta: 6:21:14 time: 0.2969 data_time: 0.0191 memory: 8198 grad_norm: 7.2802 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9986 loss: 0.9986 2022/08/03 23:02:31 - mmengine - INFO - Epoch(train) [214][880/1879] lr: 1.0000e-04 eta: 6:21:08 time: 0.2840 data_time: 0.0235 memory: 8198 grad_norm: 7.2829 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8419 loss: 0.8419 2022/08/03 23:02:37 - mmengine - INFO - Epoch(train) [214][900/1879] lr: 1.0000e-04 eta: 6:21:02 time: 0.2923 data_time: 0.0309 memory: 8198 grad_norm: 7.1448 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8195 loss: 0.8195 2022/08/03 23:02:43 - mmengine - INFO - Epoch(train) [214][920/1879] lr: 1.0000e-04 eta: 6:20:57 time: 0.2914 data_time: 0.0300 memory: 8198 grad_norm: 7.4606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/08/03 23:02:49 - mmengine - INFO - Epoch(train) [214][940/1879] lr: 1.0000e-04 eta: 6:20:51 time: 0.2857 data_time: 0.0211 memory: 8198 grad_norm: 7.2987 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8103 loss: 0.8103 2022/08/03 23:02:55 - mmengine - INFO - Epoch(train) [214][960/1879] lr: 1.0000e-04 eta: 6:20:45 time: 0.2873 data_time: 0.0229 memory: 8198 grad_norm: 7.4651 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9918 loss: 0.9918 2022/08/03 23:03:00 - mmengine - INFO - Epoch(train) [214][980/1879] lr: 1.0000e-04 eta: 6:20:39 time: 0.2832 data_time: 0.0200 memory: 8198 grad_norm: 6.9931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9550 loss: 0.9550 2022/08/03 23:03:06 - mmengine - INFO - Epoch(train) [214][1000/1879] lr: 1.0000e-04 eta: 6:20:34 time: 0.2869 data_time: 0.0209 memory: 8198 grad_norm: 6.8653 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0353 loss: 1.0353 2022/08/03 23:03:12 - mmengine - INFO - Epoch(train) [214][1020/1879] lr: 1.0000e-04 eta: 6:20:28 time: 0.2870 data_time: 0.0228 memory: 8198 grad_norm: 7.2568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0788 loss: 1.0788 2022/08/03 23:03:18 - mmengine - INFO - Epoch(train) [214][1040/1879] lr: 1.0000e-04 eta: 6:20:22 time: 0.2880 data_time: 0.0239 memory: 8198 grad_norm: 7.1556 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8843 loss: 0.8843 2022/08/03 23:03:24 - mmengine - INFO - Epoch(train) [214][1060/1879] lr: 1.0000e-04 eta: 6:20:17 time: 0.2946 data_time: 0.0266 memory: 8198 grad_norm: 7.1717 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8596 loss: 0.8596 2022/08/03 23:03:29 - mmengine - INFO - Epoch(train) [214][1080/1879] lr: 1.0000e-04 eta: 6:20:11 time: 0.2870 data_time: 0.0209 memory: 8198 grad_norm: 7.2452 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9370 loss: 0.9370 2022/08/03 23:03:35 - mmengine - INFO - Epoch(train) [214][1100/1879] lr: 1.0000e-04 eta: 6:20:05 time: 0.2879 data_time: 0.0242 memory: 8198 grad_norm: 7.2356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6925 loss: 0.6925 2022/08/03 23:03:41 - mmengine - INFO - Epoch(train) [214][1120/1879] lr: 1.0000e-04 eta: 6:19:59 time: 0.2872 data_time: 0.0243 memory: 8198 grad_norm: 7.2504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9843 loss: 0.9843 2022/08/03 23:03:47 - mmengine - INFO - Epoch(train) [214][1140/1879] lr: 1.0000e-04 eta: 6:19:54 time: 0.2871 data_time: 0.0220 memory: 8198 grad_norm: 7.3150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/08/03 23:03:52 - mmengine - INFO - Epoch(train) [214][1160/1879] lr: 1.0000e-04 eta: 6:19:48 time: 0.2880 data_time: 0.0274 memory: 8198 grad_norm: 7.0726 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/08/03 23:03:58 - mmengine - INFO - Epoch(train) [214][1180/1879] lr: 1.0000e-04 eta: 6:19:42 time: 0.2880 data_time: 0.0275 memory: 8198 grad_norm: 7.2342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7596 loss: 0.7596 2022/08/03 23:04:04 - mmengine - INFO - Epoch(train) [214][1200/1879] lr: 1.0000e-04 eta: 6:19:37 time: 0.2895 data_time: 0.0229 memory: 8198 grad_norm: 7.3463 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8822 loss: 0.8822 2022/08/03 23:04:10 - mmengine - INFO - Epoch(train) [214][1220/1879] lr: 1.0000e-04 eta: 6:19:31 time: 0.2871 data_time: 0.0240 memory: 8198 grad_norm: 7.2908 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8732 loss: 0.8732 2022/08/03 23:04:16 - mmengine - INFO - Epoch(train) [214][1240/1879] lr: 1.0000e-04 eta: 6:19:25 time: 0.2887 data_time: 0.0284 memory: 8198 grad_norm: 7.4547 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1376 loss: 1.1376 2022/08/03 23:04:22 - mmengine - INFO - Epoch(train) [214][1260/1879] lr: 1.0000e-04 eta: 6:19:19 time: 0.2928 data_time: 0.0204 memory: 8198 grad_norm: 7.2048 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0257 loss: 1.0257 2022/08/03 23:04:28 - mmengine - INFO - Epoch(train) [214][1280/1879] lr: 1.0000e-04 eta: 6:19:14 time: 0.3096 data_time: 0.0247 memory: 8198 grad_norm: 7.1740 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9605 loss: 0.9605 2022/08/03 23:04:34 - mmengine - INFO - Epoch(train) [214][1300/1879] lr: 1.0000e-04 eta: 6:19:08 time: 0.2884 data_time: 0.0245 memory: 8198 grad_norm: 7.0510 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1310 loss: 1.1310 2022/08/03 23:04:39 - mmengine - INFO - Epoch(train) [214][1320/1879] lr: 1.0000e-04 eta: 6:19:02 time: 0.2864 data_time: 0.0212 memory: 8198 grad_norm: 7.3658 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9134 loss: 0.9134 2022/08/03 23:04:45 - mmengine - INFO - Epoch(train) [214][1340/1879] lr: 1.0000e-04 eta: 6:18:57 time: 0.2932 data_time: 0.0238 memory: 8198 grad_norm: 7.2688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1611 loss: 1.1611 2022/08/03 23:04:51 - mmengine - INFO - Epoch(train) [214][1360/1879] lr: 1.0000e-04 eta: 6:18:51 time: 0.2880 data_time: 0.0269 memory: 8198 grad_norm: 7.3097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9020 loss: 0.9020 2022/08/03 23:04:57 - mmengine - INFO - Epoch(train) [214][1380/1879] lr: 1.0000e-04 eta: 6:18:45 time: 0.2878 data_time: 0.0267 memory: 8198 grad_norm: 7.2774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/08/03 23:05:03 - mmengine - INFO - Epoch(train) [214][1400/1879] lr: 1.0000e-04 eta: 6:18:40 time: 0.2855 data_time: 0.0253 memory: 8198 grad_norm: 6.9654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8959 loss: 0.8959 2022/08/03 23:05:08 - mmengine - INFO - Epoch(train) [214][1420/1879] lr: 1.0000e-04 eta: 6:18:34 time: 0.2876 data_time: 0.0279 memory: 8198 grad_norm: 7.2889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9980 loss: 0.9980 2022/08/03 23:05:14 - mmengine - INFO - Epoch(train) [214][1440/1879] lr: 1.0000e-04 eta: 6:18:28 time: 0.2953 data_time: 0.0223 memory: 8198 grad_norm: 7.1292 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8856 loss: 0.8856 2022/08/03 23:05:20 - mmengine - INFO - Epoch(train) [214][1460/1879] lr: 1.0000e-04 eta: 6:18:22 time: 0.2857 data_time: 0.0200 memory: 8198 grad_norm: 7.3767 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8244 loss: 0.8244 2022/08/03 23:05:26 - mmengine - INFO - Epoch(train) [214][1480/1879] lr: 1.0000e-04 eta: 6:18:17 time: 0.2839 data_time: 0.0170 memory: 8198 grad_norm: 6.9993 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9049 loss: 0.9049 2022/08/03 23:05:32 - mmengine - INFO - Epoch(train) [214][1500/1879] lr: 1.0000e-04 eta: 6:18:11 time: 0.2901 data_time: 0.0209 memory: 8198 grad_norm: 7.2032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0867 loss: 1.0867 2022/08/03 23:05:37 - mmengine - INFO - Epoch(train) [214][1520/1879] lr: 1.0000e-04 eta: 6:18:05 time: 0.2857 data_time: 0.0242 memory: 8198 grad_norm: 7.5003 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0186 loss: 1.0186 2022/08/03 23:05:43 - mmengine - INFO - Epoch(train) [214][1540/1879] lr: 1.0000e-04 eta: 6:18:00 time: 0.3015 data_time: 0.0207 memory: 8198 grad_norm: 7.2969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0257 loss: 1.0257 2022/08/03 23:05:49 - mmengine - INFO - Epoch(train) [214][1560/1879] lr: 1.0000e-04 eta: 6:17:54 time: 0.2827 data_time: 0.0207 memory: 8198 grad_norm: 7.2620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0577 loss: 1.0577 2022/08/03 23:05:55 - mmengine - INFO - Epoch(train) [214][1580/1879] lr: 1.0000e-04 eta: 6:17:48 time: 0.2838 data_time: 0.0208 memory: 8198 grad_norm: 7.3284 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9204 loss: 0.9204 2022/08/03 23:06:00 - mmengine - INFO - Epoch(train) [214][1600/1879] lr: 1.0000e-04 eta: 6:17:42 time: 0.2866 data_time: 0.0237 memory: 8198 grad_norm: 7.2978 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9106 loss: 0.9106 2022/08/03 23:06:06 - mmengine - INFO - Epoch(train) [214][1620/1879] lr: 1.0000e-04 eta: 6:17:37 time: 0.2902 data_time: 0.0194 memory: 8198 grad_norm: 7.3657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9339 loss: 0.9339 2022/08/03 23:06:12 - mmengine - INFO - Epoch(train) [214][1640/1879] lr: 1.0000e-04 eta: 6:17:31 time: 0.2844 data_time: 0.0215 memory: 8198 grad_norm: 7.2078 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0942 loss: 1.0942 2022/08/03 23:06:18 - mmengine - INFO - Epoch(train) [214][1660/1879] lr: 1.0000e-04 eta: 6:17:25 time: 0.2890 data_time: 0.0215 memory: 8198 grad_norm: 7.1656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9438 loss: 0.9438 2022/08/03 23:06:24 - mmengine - INFO - Epoch(train) [214][1680/1879] lr: 1.0000e-04 eta: 6:17:20 time: 0.2910 data_time: 0.0236 memory: 8198 grad_norm: 7.3614 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1349 loss: 1.1349 2022/08/03 23:06:29 - mmengine - INFO - Epoch(train) [214][1700/1879] lr: 1.0000e-04 eta: 6:17:14 time: 0.2842 data_time: 0.0225 memory: 8198 grad_norm: 7.0188 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8663 loss: 0.8663 2022/08/03 23:06:35 - mmengine - INFO - Epoch(train) [214][1720/1879] lr: 1.0000e-04 eta: 6:17:08 time: 0.2859 data_time: 0.0209 memory: 8198 grad_norm: 7.1897 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9475 loss: 0.9475 2022/08/03 23:06:41 - mmengine - INFO - Epoch(train) [214][1740/1879] lr: 1.0000e-04 eta: 6:17:02 time: 0.2853 data_time: 0.0198 memory: 8198 grad_norm: 7.2141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8953 loss: 0.8953 2022/08/03 23:06:47 - mmengine - INFO - Epoch(train) [214][1760/1879] lr: 1.0000e-04 eta: 6:16:57 time: 0.2946 data_time: 0.0191 memory: 8198 grad_norm: 7.3232 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/08/03 23:06:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:06:53 - mmengine - INFO - Epoch(train) [214][1780/1879] lr: 1.0000e-04 eta: 6:16:51 time: 0.2878 data_time: 0.0263 memory: 8198 grad_norm: 7.0537 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9927 loss: 0.9927 2022/08/03 23:06:58 - mmengine - INFO - Epoch(train) [214][1800/1879] lr: 1.0000e-04 eta: 6:16:45 time: 0.2859 data_time: 0.0196 memory: 8198 grad_norm: 7.6237 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/08/03 23:07:04 - mmengine - INFO - Epoch(train) [214][1820/1879] lr: 1.0000e-04 eta: 6:16:40 time: 0.2980 data_time: 0.0211 memory: 8198 grad_norm: 7.1083 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/08/03 23:07:10 - mmengine - INFO - Epoch(train) [214][1840/1879] lr: 1.0000e-04 eta: 6:16:34 time: 0.2859 data_time: 0.0231 memory: 8198 grad_norm: 7.1228 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0169 loss: 1.0169 2022/08/03 23:07:16 - mmengine - INFO - Epoch(train) [214][1860/1879] lr: 1.0000e-04 eta: 6:16:28 time: 0.2882 data_time: 0.0205 memory: 8198 grad_norm: 7.2378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9413 loss: 0.9413 2022/08/03 23:07:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:07:21 - mmengine - INFO - Epoch(train) [214][1879/1879] lr: 1.0000e-04 eta: 6:16:28 time: 0.2611 data_time: 0.0199 memory: 8198 grad_norm: 7.4522 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9573 loss: 0.9573 2022/08/03 23:07:29 - mmengine - INFO - Epoch(train) [215][20/1879] lr: 1.0000e-04 eta: 6:16:16 time: 0.4070 data_time: 0.1148 memory: 8198 grad_norm: 7.3095 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.0660 loss: 1.0660 2022/08/03 23:07:35 - mmengine - INFO - Epoch(train) [215][40/1879] lr: 1.0000e-04 eta: 6:16:11 time: 0.2902 data_time: 0.0191 memory: 8198 grad_norm: 7.0854 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8955 loss: 0.8955 2022/08/03 23:07:41 - mmengine - INFO - Epoch(train) [215][60/1879] lr: 1.0000e-04 eta: 6:16:05 time: 0.2903 data_time: 0.0218 memory: 8198 grad_norm: 7.3001 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8742 loss: 0.8742 2022/08/03 23:07:47 - mmengine - INFO - Epoch(train) [215][80/1879] lr: 1.0000e-04 eta: 6:15:59 time: 0.2936 data_time: 0.0238 memory: 8198 grad_norm: 7.3361 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9143 loss: 0.9143 2022/08/03 23:07:52 - mmengine - INFO - Epoch(train) [215][100/1879] lr: 1.0000e-04 eta: 6:15:54 time: 0.2881 data_time: 0.0245 memory: 8198 grad_norm: 7.2882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9216 loss: 0.9216 2022/08/03 23:07:58 - mmengine - INFO - Epoch(train) [215][120/1879] lr: 1.0000e-04 eta: 6:15:48 time: 0.2842 data_time: 0.0189 memory: 8198 grad_norm: 7.2073 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8302 loss: 0.8302 2022/08/03 23:08:04 - mmengine - INFO - Epoch(train) [215][140/1879] lr: 1.0000e-04 eta: 6:15:42 time: 0.2940 data_time: 0.0235 memory: 8198 grad_norm: 7.2902 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/08/03 23:08:10 - mmengine - INFO - Epoch(train) [215][160/1879] lr: 1.0000e-04 eta: 6:15:36 time: 0.2868 data_time: 0.0191 memory: 8198 grad_norm: 7.2917 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1299 loss: 1.1299 2022/08/03 23:08:16 - mmengine - INFO - Epoch(train) [215][180/1879] lr: 1.0000e-04 eta: 6:15:31 time: 0.2888 data_time: 0.0242 memory: 8198 grad_norm: 7.3153 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9647 loss: 0.9647 2022/08/03 23:08:21 - mmengine - INFO - Epoch(train) [215][200/1879] lr: 1.0000e-04 eta: 6:15:25 time: 0.2880 data_time: 0.0231 memory: 8198 grad_norm: 7.2460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9535 loss: 0.9535 2022/08/03 23:08:27 - mmengine - INFO - Epoch(train) [215][220/1879] lr: 1.0000e-04 eta: 6:15:19 time: 0.2892 data_time: 0.0212 memory: 8198 grad_norm: 7.0933 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8655 loss: 0.8655 2022/08/03 23:08:33 - mmengine - INFO - Epoch(train) [215][240/1879] lr: 1.0000e-04 eta: 6:15:14 time: 0.2859 data_time: 0.0227 memory: 8198 grad_norm: 7.2512 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9065 loss: 0.9065 2022/08/03 23:08:39 - mmengine - INFO - Epoch(train) [215][260/1879] lr: 1.0000e-04 eta: 6:15:08 time: 0.2888 data_time: 0.0240 memory: 8198 grad_norm: 7.1416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0311 loss: 1.0311 2022/08/03 23:08:45 - mmengine - INFO - Epoch(train) [215][280/1879] lr: 1.0000e-04 eta: 6:15:02 time: 0.2888 data_time: 0.0257 memory: 8198 grad_norm: 7.0949 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/03 23:08:50 - mmengine - INFO - Epoch(train) [215][300/1879] lr: 1.0000e-04 eta: 6:14:56 time: 0.2846 data_time: 0.0235 memory: 8198 grad_norm: 7.1836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8973 loss: 0.8973 2022/08/03 23:08:56 - mmengine - INFO - Epoch(train) [215][320/1879] lr: 1.0000e-04 eta: 6:14:51 time: 0.2884 data_time: 0.0211 memory: 8198 grad_norm: 7.3217 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0833 loss: 1.0833 2022/08/03 23:09:02 - mmengine - INFO - Epoch(train) [215][340/1879] lr: 1.0000e-04 eta: 6:14:45 time: 0.2868 data_time: 0.0246 memory: 8198 grad_norm: 7.5405 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9438 loss: 0.9438 2022/08/03 23:09:08 - mmengine - INFO - Epoch(train) [215][360/1879] lr: 1.0000e-04 eta: 6:14:39 time: 0.2882 data_time: 0.0246 memory: 8198 grad_norm: 7.1826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1069 loss: 1.1069 2022/08/03 23:09:13 - mmengine - INFO - Epoch(train) [215][380/1879] lr: 1.0000e-04 eta: 6:14:34 time: 0.2882 data_time: 0.0204 memory: 8198 grad_norm: 7.0476 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0440 loss: 1.0440 2022/08/03 23:09:19 - mmengine - INFO - Epoch(train) [215][400/1879] lr: 1.0000e-04 eta: 6:14:28 time: 0.2886 data_time: 0.0198 memory: 8198 grad_norm: 7.2679 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0619 loss: 1.0619 2022/08/03 23:09:25 - mmengine - INFO - Epoch(train) [215][420/1879] lr: 1.0000e-04 eta: 6:14:22 time: 0.2898 data_time: 0.0222 memory: 8198 grad_norm: 7.2071 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0219 loss: 1.0219 2022/08/03 23:09:31 - mmengine - INFO - Epoch(train) [215][440/1879] lr: 1.0000e-04 eta: 6:14:16 time: 0.2861 data_time: 0.0215 memory: 8198 grad_norm: 7.2205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9727 loss: 0.9727 2022/08/03 23:09:37 - mmengine - INFO - Epoch(train) [215][460/1879] lr: 1.0000e-04 eta: 6:14:11 time: 0.2864 data_time: 0.0204 memory: 8198 grad_norm: 7.2210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0142 loss: 1.0142 2022/08/03 23:09:42 - mmengine - INFO - Epoch(train) [215][480/1879] lr: 1.0000e-04 eta: 6:14:05 time: 0.2877 data_time: 0.0221 memory: 8198 grad_norm: 7.1084 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8991 loss: 0.8991 2022/08/03 23:09:48 - mmengine - INFO - Epoch(train) [215][500/1879] lr: 1.0000e-04 eta: 6:13:59 time: 0.2916 data_time: 0.0277 memory: 8198 grad_norm: 7.1289 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0392 loss: 1.0392 2022/08/03 23:09:54 - mmengine - INFO - Epoch(train) [215][520/1879] lr: 1.0000e-04 eta: 6:13:54 time: 0.2883 data_time: 0.0235 memory: 8198 grad_norm: 7.2044 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8864 loss: 0.8864 2022/08/03 23:10:00 - mmengine - INFO - Epoch(train) [215][540/1879] lr: 1.0000e-04 eta: 6:13:48 time: 0.2999 data_time: 0.0203 memory: 8198 grad_norm: 7.1699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7599 loss: 0.7599 2022/08/03 23:10:06 - mmengine - INFO - Epoch(train) [215][560/1879] lr: 1.0000e-04 eta: 6:13:42 time: 0.2821 data_time: 0.0199 memory: 8198 grad_norm: 6.8750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8350 loss: 0.8350 2022/08/03 23:10:11 - mmengine - INFO - Epoch(train) [215][580/1879] lr: 1.0000e-04 eta: 6:13:36 time: 0.2858 data_time: 0.0238 memory: 8198 grad_norm: 7.0009 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8684 loss: 0.8684 2022/08/03 23:10:17 - mmengine - INFO - Epoch(train) [215][600/1879] lr: 1.0000e-04 eta: 6:13:31 time: 0.2883 data_time: 0.0227 memory: 8198 grad_norm: 7.0607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8761 loss: 0.8761 2022/08/03 23:10:23 - mmengine - INFO - Epoch(train) [215][620/1879] lr: 1.0000e-04 eta: 6:13:25 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 7.5177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9405 loss: 0.9405 2022/08/03 23:10:29 - mmengine - INFO - Epoch(train) [215][640/1879] lr: 1.0000e-04 eta: 6:13:19 time: 0.2875 data_time: 0.0244 memory: 8198 grad_norm: 7.4311 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0591 loss: 1.0591 2022/08/03 23:10:35 - mmengine - INFO - Epoch(train) [215][660/1879] lr: 1.0000e-04 eta: 6:13:14 time: 0.3031 data_time: 0.0242 memory: 8198 grad_norm: 7.1548 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9251 loss: 0.9251 2022/08/03 23:10:41 - mmengine - INFO - Epoch(train) [215][680/1879] lr: 1.0000e-04 eta: 6:13:08 time: 0.2857 data_time: 0.0225 memory: 8198 grad_norm: 7.1483 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/08/03 23:10:46 - mmengine - INFO - Epoch(train) [215][700/1879] lr: 1.0000e-04 eta: 6:13:02 time: 0.2857 data_time: 0.0231 memory: 8198 grad_norm: 7.2320 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/08/03 23:10:52 - mmengine - INFO - Epoch(train) [215][720/1879] lr: 1.0000e-04 eta: 6:12:56 time: 0.2902 data_time: 0.0263 memory: 8198 grad_norm: 7.3504 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9880 loss: 0.9880 2022/08/03 23:10:58 - mmengine - INFO - Epoch(train) [215][740/1879] lr: 1.0000e-04 eta: 6:12:51 time: 0.2966 data_time: 0.0181 memory: 8198 grad_norm: 7.3273 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9971 loss: 0.9971 2022/08/03 23:11:04 - mmengine - INFO - Epoch(train) [215][760/1879] lr: 1.0000e-04 eta: 6:12:45 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 6.9670 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/08/03 23:11:10 - mmengine - INFO - Epoch(train) [215][780/1879] lr: 1.0000e-04 eta: 6:12:39 time: 0.2857 data_time: 0.0228 memory: 8198 grad_norm: 7.5574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/08/03 23:11:16 - mmengine - INFO - Epoch(train) [215][800/1879] lr: 1.0000e-04 eta: 6:12:34 time: 0.2979 data_time: 0.0236 memory: 8198 grad_norm: 7.1610 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/03 23:11:21 - mmengine - INFO - Epoch(train) [215][820/1879] lr: 1.0000e-04 eta: 6:12:28 time: 0.2865 data_time: 0.0205 memory: 8198 grad_norm: 7.3485 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9119 loss: 0.9119 2022/08/03 23:11:27 - mmengine - INFO - Epoch(train) [215][840/1879] lr: 1.0000e-04 eta: 6:12:22 time: 0.2867 data_time: 0.0217 memory: 8198 grad_norm: 7.1982 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0423 loss: 1.0423 2022/08/03 23:11:33 - mmengine - INFO - Epoch(train) [215][860/1879] lr: 1.0000e-04 eta: 6:12:16 time: 0.2901 data_time: 0.0201 memory: 8198 grad_norm: 7.1980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0446 loss: 1.0446 2022/08/03 23:11:39 - mmengine - INFO - Epoch(train) [215][880/1879] lr: 1.0000e-04 eta: 6:12:11 time: 0.2861 data_time: 0.0204 memory: 8198 grad_norm: 7.0694 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9016 loss: 0.9016 2022/08/03 23:11:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:11:44 - mmengine - INFO - Epoch(train) [215][900/1879] lr: 1.0000e-04 eta: 6:12:05 time: 0.2857 data_time: 0.0221 memory: 8198 grad_norm: 7.1059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8290 loss: 0.8290 2022/08/03 23:11:50 - mmengine - INFO - Epoch(train) [215][920/1879] lr: 1.0000e-04 eta: 6:11:59 time: 0.2854 data_time: 0.0214 memory: 8198 grad_norm: 7.1383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8858 loss: 0.8858 2022/08/03 23:11:56 - mmengine - INFO - Epoch(train) [215][940/1879] lr: 1.0000e-04 eta: 6:11:54 time: 0.2890 data_time: 0.0240 memory: 8198 grad_norm: 7.2633 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8751 loss: 0.8751 2022/08/03 23:12:02 - mmengine - INFO - Epoch(train) [215][960/1879] lr: 1.0000e-04 eta: 6:11:48 time: 0.2874 data_time: 0.0237 memory: 8198 grad_norm: 7.1994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8838 loss: 0.8838 2022/08/03 23:12:08 - mmengine - INFO - Epoch(train) [215][980/1879] lr: 1.0000e-04 eta: 6:11:42 time: 0.2901 data_time: 0.0203 memory: 8198 grad_norm: 7.4618 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/08/03 23:12:13 - mmengine - INFO - Epoch(train) [215][1000/1879] lr: 1.0000e-04 eta: 6:11:36 time: 0.2889 data_time: 0.0194 memory: 8198 grad_norm: 7.1003 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/08/03 23:12:19 - mmengine - INFO - Epoch(train) [215][1020/1879] lr: 1.0000e-04 eta: 6:11:31 time: 0.2863 data_time: 0.0200 memory: 8198 grad_norm: 7.0212 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0153 loss: 1.0153 2022/08/03 23:12:25 - mmengine - INFO - Epoch(train) [215][1040/1879] lr: 1.0000e-04 eta: 6:11:25 time: 0.2861 data_time: 0.0239 memory: 8198 grad_norm: 7.4696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/03 23:12:31 - mmengine - INFO - Epoch(train) [215][1060/1879] lr: 1.0000e-04 eta: 6:11:19 time: 0.2869 data_time: 0.0209 memory: 8198 grad_norm: 7.2053 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9730 loss: 0.9730 2022/08/03 23:12:37 - mmengine - INFO - Epoch(train) [215][1080/1879] lr: 1.0000e-04 eta: 6:11:14 time: 0.3113 data_time: 0.0194 memory: 8198 grad_norm: 7.2386 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9170 loss: 0.9170 2022/08/03 23:12:43 - mmengine - INFO - Epoch(train) [215][1100/1879] lr: 1.0000e-04 eta: 6:11:08 time: 0.2872 data_time: 0.0247 memory: 8198 grad_norm: 7.4581 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0037 loss: 1.0037 2022/08/03 23:12:49 - mmengine - INFO - Epoch(train) [215][1120/1879] lr: 1.0000e-04 eta: 6:11:02 time: 0.2914 data_time: 0.0293 memory: 8198 grad_norm: 7.1645 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0132 loss: 1.0132 2022/08/03 23:12:54 - mmengine - INFO - Epoch(train) [215][1140/1879] lr: 1.0000e-04 eta: 6:10:56 time: 0.2880 data_time: 0.0247 memory: 8198 grad_norm: 7.0692 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9440 loss: 0.9440 2022/08/03 23:13:00 - mmengine - INFO - Epoch(train) [215][1160/1879] lr: 1.0000e-04 eta: 6:10:51 time: 0.2869 data_time: 0.0184 memory: 8198 grad_norm: 7.3187 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9745 loss: 0.9745 2022/08/03 23:13:06 - mmengine - INFO - Epoch(train) [215][1180/1879] lr: 1.0000e-04 eta: 6:10:45 time: 0.2875 data_time: 0.0231 memory: 8198 grad_norm: 7.2730 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8345 loss: 0.8345 2022/08/03 23:13:12 - mmengine - INFO - Epoch(train) [215][1200/1879] lr: 1.0000e-04 eta: 6:10:39 time: 0.2844 data_time: 0.0189 memory: 8198 grad_norm: 7.2310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0047 loss: 1.0047 2022/08/03 23:13:18 - mmengine - INFO - Epoch(train) [215][1220/1879] lr: 1.0000e-04 eta: 6:10:34 time: 0.3001 data_time: 0.0239 memory: 8198 grad_norm: 7.3093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/08/03 23:13:23 - mmengine - INFO - Epoch(train) [215][1240/1879] lr: 1.0000e-04 eta: 6:10:28 time: 0.2843 data_time: 0.0219 memory: 8198 grad_norm: 7.3304 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9742 loss: 0.9742 2022/08/03 23:13:29 - mmengine - INFO - Epoch(train) [215][1260/1879] lr: 1.0000e-04 eta: 6:10:22 time: 0.2839 data_time: 0.0214 memory: 8198 grad_norm: 7.1468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8151 loss: 0.8151 2022/08/03 23:13:35 - mmengine - INFO - Epoch(train) [215][1280/1879] lr: 1.0000e-04 eta: 6:10:16 time: 0.2906 data_time: 0.0250 memory: 8198 grad_norm: 7.2734 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9792 loss: 0.9792 2022/08/03 23:13:41 - mmengine - INFO - Epoch(train) [215][1300/1879] lr: 1.0000e-04 eta: 6:10:11 time: 0.2845 data_time: 0.0185 memory: 8198 grad_norm: 7.3349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7677 loss: 0.7677 2022/08/03 23:13:46 - mmengine - INFO - Epoch(train) [215][1320/1879] lr: 1.0000e-04 eta: 6:10:05 time: 0.2882 data_time: 0.0244 memory: 8198 grad_norm: 7.3401 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8732 loss: 0.8732 2022/08/03 23:13:52 - mmengine - INFO - Epoch(train) [215][1340/1879] lr: 1.0000e-04 eta: 6:09:59 time: 0.2867 data_time: 0.0226 memory: 8198 grad_norm: 7.5248 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9192 loss: 0.9192 2022/08/03 23:13:58 - mmengine - INFO - Epoch(train) [215][1360/1879] lr: 1.0000e-04 eta: 6:09:54 time: 0.2933 data_time: 0.0240 memory: 8198 grad_norm: 7.0217 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7831 loss: 0.7831 2022/08/03 23:14:04 - mmengine - INFO - Epoch(train) [215][1380/1879] lr: 1.0000e-04 eta: 6:09:48 time: 0.2866 data_time: 0.0254 memory: 8198 grad_norm: 7.4298 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9939 loss: 0.9939 2022/08/03 23:14:10 - mmengine - INFO - Epoch(train) [215][1400/1879] lr: 1.0000e-04 eta: 6:09:42 time: 0.2881 data_time: 0.0258 memory: 8198 grad_norm: 7.2174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/08/03 23:14:16 - mmengine - INFO - Epoch(train) [215][1420/1879] lr: 1.0000e-04 eta: 6:09:36 time: 0.2917 data_time: 0.0222 memory: 8198 grad_norm: 7.4673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8406 loss: 0.8406 2022/08/03 23:14:21 - mmengine - INFO - Epoch(train) [215][1440/1879] lr: 1.0000e-04 eta: 6:09:31 time: 0.2842 data_time: 0.0181 memory: 8198 grad_norm: 7.0534 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9468 loss: 0.9468 2022/08/03 23:14:27 - mmengine - INFO - Epoch(train) [215][1460/1879] lr: 1.0000e-04 eta: 6:09:25 time: 0.2836 data_time: 0.0208 memory: 8198 grad_norm: 7.0284 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8568 loss: 0.8568 2022/08/03 23:14:33 - mmengine - INFO - Epoch(train) [215][1480/1879] lr: 1.0000e-04 eta: 6:09:19 time: 0.2870 data_time: 0.0198 memory: 8198 grad_norm: 7.4430 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/08/03 23:14:39 - mmengine - INFO - Epoch(train) [215][1500/1879] lr: 1.0000e-04 eta: 6:09:14 time: 0.2897 data_time: 0.0269 memory: 8198 grad_norm: 7.1178 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0453 loss: 1.0453 2022/08/03 23:14:44 - mmengine - INFO - Epoch(train) [215][1520/1879] lr: 1.0000e-04 eta: 6:09:08 time: 0.2867 data_time: 0.0220 memory: 8198 grad_norm: 7.2668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/03 23:14:50 - mmengine - INFO - Epoch(train) [215][1540/1879] lr: 1.0000e-04 eta: 6:09:02 time: 0.2867 data_time: 0.0217 memory: 8198 grad_norm: 7.2677 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1182 loss: 1.1182 2022/08/03 23:14:56 - mmengine - INFO - Epoch(train) [215][1560/1879] lr: 1.0000e-04 eta: 6:08:56 time: 0.2982 data_time: 0.0233 memory: 8198 grad_norm: 7.2312 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8731 loss: 0.8731 2022/08/03 23:15:02 - mmengine - INFO - Epoch(train) [215][1580/1879] lr: 1.0000e-04 eta: 6:08:51 time: 0.2843 data_time: 0.0195 memory: 8198 grad_norm: 7.3988 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0575 loss: 1.0575 2022/08/03 23:15:08 - mmengine - INFO - Epoch(train) [215][1600/1879] lr: 1.0000e-04 eta: 6:08:45 time: 0.2905 data_time: 0.0206 memory: 8198 grad_norm: 7.2309 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0276 loss: 1.0276 2022/08/03 23:15:13 - mmengine - INFO - Epoch(train) [215][1620/1879] lr: 1.0000e-04 eta: 6:08:39 time: 0.2911 data_time: 0.0256 memory: 8198 grad_norm: 7.3016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9154 loss: 0.9154 2022/08/03 23:15:19 - mmengine - INFO - Epoch(train) [215][1640/1879] lr: 1.0000e-04 eta: 6:08:34 time: 0.2873 data_time: 0.0217 memory: 8198 grad_norm: 7.3677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9809 loss: 0.9809 2022/08/03 23:15:25 - mmengine - INFO - Epoch(train) [215][1660/1879] lr: 1.0000e-04 eta: 6:08:28 time: 0.2855 data_time: 0.0248 memory: 8198 grad_norm: 6.9465 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/08/03 23:15:31 - mmengine - INFO - Epoch(train) [215][1680/1879] lr: 1.0000e-04 eta: 6:08:22 time: 0.2869 data_time: 0.0216 memory: 8198 grad_norm: 7.1100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/08/03 23:15:37 - mmengine - INFO - Epoch(train) [215][1700/1879] lr: 1.0000e-04 eta: 6:08:16 time: 0.2894 data_time: 0.0243 memory: 8198 grad_norm: 7.3413 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9692 loss: 0.9692 2022/08/03 23:15:42 - mmengine - INFO - Epoch(train) [215][1720/1879] lr: 1.0000e-04 eta: 6:08:11 time: 0.2868 data_time: 0.0226 memory: 8198 grad_norm: 7.2795 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/03 23:15:48 - mmengine - INFO - Epoch(train) [215][1740/1879] lr: 1.0000e-04 eta: 6:08:05 time: 0.2892 data_time: 0.0235 memory: 8198 grad_norm: 7.3229 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1092 loss: 1.1092 2022/08/03 23:15:54 - mmengine - INFO - Epoch(train) [215][1760/1879] lr: 1.0000e-04 eta: 6:07:59 time: 0.2889 data_time: 0.0219 memory: 8198 grad_norm: 7.1204 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/08/03 23:16:00 - mmengine - INFO - Epoch(train) [215][1780/1879] lr: 1.0000e-04 eta: 6:07:54 time: 0.2845 data_time: 0.0258 memory: 8198 grad_norm: 7.2187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0963 loss: 1.0963 2022/08/03 23:16:06 - mmengine - INFO - Epoch(train) [215][1800/1879] lr: 1.0000e-04 eta: 6:07:48 time: 0.2922 data_time: 0.0201 memory: 8198 grad_norm: 7.2876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9213 loss: 0.9213 2022/08/03 23:16:11 - mmengine - INFO - Epoch(train) [215][1820/1879] lr: 1.0000e-04 eta: 6:07:42 time: 0.2871 data_time: 0.0215 memory: 8198 grad_norm: 7.2707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/08/03 23:16:17 - mmengine - INFO - Epoch(train) [215][1840/1879] lr: 1.0000e-04 eta: 6:07:36 time: 0.2919 data_time: 0.0214 memory: 8198 grad_norm: 7.2493 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9224 loss: 0.9224 2022/08/03 23:16:23 - mmengine - INFO - Epoch(train) [215][1860/1879] lr: 1.0000e-04 eta: 6:07:31 time: 0.2853 data_time: 0.0231 memory: 8198 grad_norm: 7.4276 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9320 loss: 0.9320 2022/08/03 23:16:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:16:28 - mmengine - INFO - Epoch(train) [215][1879/1879] lr: 1.0000e-04 eta: 6:07:31 time: 0.2614 data_time: 0.0153 memory: 8198 grad_norm: 7.3264 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9364 loss: 0.9364 2022/08/03 23:16:34 - mmengine - INFO - Epoch(val) [215][20/155] eta: 0:00:43 time: 0.3238 data_time: 0.2335 memory: 1514 2022/08/03 23:16:39 - mmengine - INFO - Epoch(val) [215][40/155] eta: 0:00:27 time: 0.2411 data_time: 0.1484 memory: 1514 2022/08/03 23:16:45 - mmengine - INFO - Epoch(val) [215][60/155] eta: 0:00:27 time: 0.2904 data_time: 0.2022 memory: 1514 2022/08/03 23:16:50 - mmengine - INFO - Epoch(val) [215][80/155] eta: 0:00:17 time: 0.2325 data_time: 0.1459 memory: 1514 2022/08/03 23:16:56 - mmengine - INFO - Epoch(val) [215][100/155] eta: 0:00:17 time: 0.3264 data_time: 0.2381 memory: 1514 2022/08/03 23:17:01 - mmengine - INFO - Epoch(val) [215][120/155] eta: 0:00:08 time: 0.2302 data_time: 0.1440 memory: 1514 2022/08/03 23:17:07 - mmengine - INFO - Epoch(val) [215][140/155] eta: 0:00:04 time: 0.2928 data_time: 0.1982 memory: 1514 2022/08/03 23:17:12 - mmengine - INFO - Epoch(val) [215][155/155] acc/top1: 0.6792 acc/top5: 0.8681 acc/mean1: 0.6790 2022/08/03 23:17:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:17:20 - mmengine - INFO - Epoch(train) [216][20/1879] lr: 1.0000e-04 eta: 6:07:19 time: 0.4058 data_time: 0.0991 memory: 8198 grad_norm: 7.3227 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9374 loss: 0.9374 2022/08/03 23:17:26 - mmengine - INFO - Epoch(train) [216][40/1879] lr: 1.0000e-04 eta: 6:07:13 time: 0.2978 data_time: 0.0298 memory: 8198 grad_norm: 7.2932 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7825 loss: 0.7825 2022/08/03 23:17:32 - mmengine - INFO - Epoch(train) [216][60/1879] lr: 1.0000e-04 eta: 6:07:08 time: 0.2907 data_time: 0.0274 memory: 8198 grad_norm: 7.2873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1240 loss: 1.1240 2022/08/03 23:17:38 - mmengine - INFO - Epoch(train) [216][80/1879] lr: 1.0000e-04 eta: 6:07:02 time: 0.2918 data_time: 0.0214 memory: 8198 grad_norm: 7.0411 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9474 loss: 0.9474 2022/08/03 23:17:44 - mmengine - INFO - Epoch(train) [216][100/1879] lr: 1.0000e-04 eta: 6:06:56 time: 0.2881 data_time: 0.0164 memory: 8198 grad_norm: 7.1980 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1121 loss: 1.1121 2022/08/03 23:17:49 - mmengine - INFO - Epoch(train) [216][120/1879] lr: 1.0000e-04 eta: 6:06:50 time: 0.2884 data_time: 0.0228 memory: 8198 grad_norm: 7.0711 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9433 loss: 0.9433 2022/08/03 23:17:55 - mmengine - INFO - Epoch(train) [216][140/1879] lr: 1.0000e-04 eta: 6:06:45 time: 0.2886 data_time: 0.0206 memory: 8198 grad_norm: 7.2911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8187 loss: 0.8187 2022/08/03 23:18:01 - mmengine - INFO - Epoch(train) [216][160/1879] lr: 1.0000e-04 eta: 6:06:39 time: 0.2843 data_time: 0.0243 memory: 8198 grad_norm: 7.3927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9174 loss: 0.9174 2022/08/03 23:18:07 - mmengine - INFO - Epoch(train) [216][180/1879] lr: 1.0000e-04 eta: 6:06:33 time: 0.2912 data_time: 0.0207 memory: 8198 grad_norm: 7.3657 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8992 loss: 0.8992 2022/08/03 23:18:13 - mmengine - INFO - Epoch(train) [216][200/1879] lr: 1.0000e-04 eta: 6:06:28 time: 0.2885 data_time: 0.0225 memory: 8198 grad_norm: 7.1033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9214 loss: 0.9214 2022/08/03 23:18:18 - mmengine - INFO - Epoch(train) [216][220/1879] lr: 1.0000e-04 eta: 6:06:22 time: 0.2869 data_time: 0.0274 memory: 8198 grad_norm: 7.2716 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0935 loss: 1.0935 2022/08/03 23:18:24 - mmengine - INFO - Epoch(train) [216][240/1879] lr: 1.0000e-04 eta: 6:06:16 time: 0.2921 data_time: 0.0222 memory: 8198 grad_norm: 7.2879 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0721 loss: 1.0721 2022/08/03 23:18:30 - mmengine - INFO - Epoch(train) [216][260/1879] lr: 1.0000e-04 eta: 6:06:10 time: 0.2837 data_time: 0.0235 memory: 8198 grad_norm: 6.9838 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8878 loss: 0.8878 2022/08/03 23:18:36 - mmengine - INFO - Epoch(train) [216][280/1879] lr: 1.0000e-04 eta: 6:06:05 time: 0.2923 data_time: 0.0248 memory: 8198 grad_norm: 7.0768 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8376 loss: 0.8376 2022/08/03 23:18:42 - mmengine - INFO - Epoch(train) [216][300/1879] lr: 1.0000e-04 eta: 6:05:59 time: 0.2870 data_time: 0.0210 memory: 8198 grad_norm: 7.2090 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/03 23:18:47 - mmengine - INFO - Epoch(train) [216][320/1879] lr: 1.0000e-04 eta: 6:05:53 time: 0.2851 data_time: 0.0172 memory: 8198 grad_norm: 7.1628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9205 loss: 0.9205 2022/08/03 23:18:53 - mmengine - INFO - Epoch(train) [216][340/1879] lr: 1.0000e-04 eta: 6:05:48 time: 0.2866 data_time: 0.0239 memory: 8198 grad_norm: 7.0702 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8828 loss: 0.8828 2022/08/03 23:18:59 - mmengine - INFO - Epoch(train) [216][360/1879] lr: 1.0000e-04 eta: 6:05:42 time: 0.2920 data_time: 0.0243 memory: 8198 grad_norm: 7.1836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7771 loss: 0.7771 2022/08/03 23:19:05 - mmengine - INFO - Epoch(train) [216][380/1879] lr: 1.0000e-04 eta: 6:05:36 time: 0.2937 data_time: 0.0189 memory: 8198 grad_norm: 7.3201 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/08/03 23:19:10 - mmengine - INFO - Epoch(train) [216][400/1879] lr: 1.0000e-04 eta: 6:05:30 time: 0.2852 data_time: 0.0258 memory: 8198 grad_norm: 7.3493 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9579 loss: 0.9579 2022/08/03 23:19:16 - mmengine - INFO - Epoch(train) [216][420/1879] lr: 1.0000e-04 eta: 6:05:25 time: 0.2931 data_time: 0.0289 memory: 8198 grad_norm: 7.1692 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7587 loss: 0.7587 2022/08/03 23:19:22 - mmengine - INFO - Epoch(train) [216][440/1879] lr: 1.0000e-04 eta: 6:05:19 time: 0.2880 data_time: 0.0212 memory: 8198 grad_norm: 7.2384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0141 loss: 1.0141 2022/08/03 23:19:28 - mmengine - INFO - Epoch(train) [216][460/1879] lr: 1.0000e-04 eta: 6:05:13 time: 0.2909 data_time: 0.0204 memory: 8198 grad_norm: 7.3369 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0925 loss: 1.0925 2022/08/03 23:19:34 - mmengine - INFO - Epoch(train) [216][480/1879] lr: 1.0000e-04 eta: 6:05:08 time: 0.2883 data_time: 0.0244 memory: 8198 grad_norm: 7.1769 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/08/03 23:19:40 - mmengine - INFO - Epoch(train) [216][500/1879] lr: 1.0000e-04 eta: 6:05:02 time: 0.2964 data_time: 0.0333 memory: 8198 grad_norm: 7.2893 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1282 loss: 1.1282 2022/08/03 23:19:46 - mmengine - INFO - Epoch(train) [216][520/1879] lr: 1.0000e-04 eta: 6:04:56 time: 0.2864 data_time: 0.0230 memory: 8198 grad_norm: 7.2628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9877 loss: 0.9877 2022/08/03 23:19:51 - mmengine - INFO - Epoch(train) [216][540/1879] lr: 1.0000e-04 eta: 6:04:51 time: 0.2884 data_time: 0.0216 memory: 8198 grad_norm: 7.0359 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9272 loss: 0.9272 2022/08/03 23:19:57 - mmengine - INFO - Epoch(train) [216][560/1879] lr: 1.0000e-04 eta: 6:04:45 time: 0.2950 data_time: 0.0194 memory: 8198 grad_norm: 7.1915 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9045 loss: 0.9045 2022/08/03 23:20:03 - mmengine - INFO - Epoch(train) [216][580/1879] lr: 1.0000e-04 eta: 6:04:39 time: 0.2860 data_time: 0.0245 memory: 8198 grad_norm: 7.4632 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0306 loss: 1.0306 2022/08/03 23:20:09 - mmengine - INFO - Epoch(train) [216][600/1879] lr: 1.0000e-04 eta: 6:04:33 time: 0.2863 data_time: 0.0210 memory: 8198 grad_norm: 7.3778 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1011 loss: 1.1011 2022/08/03 23:20:15 - mmengine - INFO - Epoch(train) [216][620/1879] lr: 1.0000e-04 eta: 6:04:28 time: 0.2996 data_time: 0.0259 memory: 8198 grad_norm: 7.5397 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0162 loss: 1.0162 2022/08/03 23:20:20 - mmengine - INFO - Epoch(train) [216][640/1879] lr: 1.0000e-04 eta: 6:04:22 time: 0.2829 data_time: 0.0196 memory: 8198 grad_norm: 7.3943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1210 loss: 1.1210 2022/08/03 23:20:26 - mmengine - INFO - Epoch(train) [216][660/1879] lr: 1.0000e-04 eta: 6:04:16 time: 0.2872 data_time: 0.0242 memory: 8198 grad_norm: 7.3237 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0420 loss: 1.0420 2022/08/03 23:20:32 - mmengine - INFO - Epoch(train) [216][680/1879] lr: 1.0000e-04 eta: 6:04:11 time: 0.2890 data_time: 0.0249 memory: 8198 grad_norm: 7.1589 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0720 loss: 1.0720 2022/08/03 23:20:38 - mmengine - INFO - Epoch(train) [216][700/1879] lr: 1.0000e-04 eta: 6:04:05 time: 0.2921 data_time: 0.0247 memory: 8198 grad_norm: 7.2462 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/03 23:20:44 - mmengine - INFO - Epoch(train) [216][720/1879] lr: 1.0000e-04 eta: 6:03:59 time: 0.2862 data_time: 0.0216 memory: 8198 grad_norm: 7.2567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0102 loss: 1.0102 2022/08/03 23:20:49 - mmengine - INFO - Epoch(train) [216][740/1879] lr: 1.0000e-04 eta: 6:03:53 time: 0.2872 data_time: 0.0214 memory: 8198 grad_norm: 7.1455 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9078 loss: 0.9078 2022/08/03 23:20:55 - mmengine - INFO - Epoch(train) [216][760/1879] lr: 1.0000e-04 eta: 6:03:48 time: 0.2941 data_time: 0.0196 memory: 8198 grad_norm: 7.1439 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8567 loss: 0.8567 2022/08/03 23:21:01 - mmengine - INFO - Epoch(train) [216][780/1879] lr: 1.0000e-04 eta: 6:03:42 time: 0.2828 data_time: 0.0218 memory: 8198 grad_norm: 7.4581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0062 loss: 1.0062 2022/08/03 23:21:07 - mmengine - INFO - Epoch(train) [216][800/1879] lr: 1.0000e-04 eta: 6:03:36 time: 0.2902 data_time: 0.0324 memory: 8198 grad_norm: 7.3687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9842 loss: 0.9842 2022/08/03 23:21:13 - mmengine - INFO - Epoch(train) [216][820/1879] lr: 1.0000e-04 eta: 6:03:31 time: 0.2881 data_time: 0.0239 memory: 8198 grad_norm: 7.2550 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8765 loss: 0.8765 2022/08/03 23:21:18 - mmengine - INFO - Epoch(train) [216][840/1879] lr: 1.0000e-04 eta: 6:03:25 time: 0.2879 data_time: 0.0260 memory: 8198 grad_norm: 7.0818 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0163 loss: 1.0163 2022/08/03 23:21:24 - mmengine - INFO - Epoch(train) [216][860/1879] lr: 1.0000e-04 eta: 6:03:19 time: 0.2917 data_time: 0.0244 memory: 8198 grad_norm: 7.0541 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8226 loss: 0.8226 2022/08/03 23:21:30 - mmengine - INFO - Epoch(train) [216][880/1879] lr: 1.0000e-04 eta: 6:03:13 time: 0.2866 data_time: 0.0201 memory: 8198 grad_norm: 7.1647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0110 loss: 1.0110 2022/08/03 23:21:36 - mmengine - INFO - Epoch(train) [216][900/1879] lr: 1.0000e-04 eta: 6:03:08 time: 0.2862 data_time: 0.0222 memory: 8198 grad_norm: 7.0973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9927 loss: 0.9927 2022/08/03 23:21:42 - mmengine - INFO - Epoch(train) [216][920/1879] lr: 1.0000e-04 eta: 6:03:02 time: 0.2846 data_time: 0.0234 memory: 8198 grad_norm: 7.1374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9761 loss: 0.9761 2022/08/03 23:21:48 - mmengine - INFO - Epoch(train) [216][940/1879] lr: 1.0000e-04 eta: 6:02:56 time: 0.3157 data_time: 0.0232 memory: 8198 grad_norm: 7.4439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9287 loss: 0.9287 2022/08/03 23:21:54 - mmengine - INFO - Epoch(train) [216][960/1879] lr: 1.0000e-04 eta: 6:02:51 time: 0.2848 data_time: 0.0214 memory: 8198 grad_norm: 7.3289 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9817 loss: 0.9817 2022/08/03 23:21:59 - mmengine - INFO - Epoch(train) [216][980/1879] lr: 1.0000e-04 eta: 6:02:45 time: 0.2871 data_time: 0.0232 memory: 8198 grad_norm: 7.1718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8744 loss: 0.8744 2022/08/03 23:22:06 - mmengine - INFO - Epoch(train) [216][1000/1879] lr: 1.0000e-04 eta: 6:02:39 time: 0.3042 data_time: 0.0183 memory: 8198 grad_norm: 7.4077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9797 loss: 0.9797 2022/08/03 23:22:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:22:11 - mmengine - INFO - Epoch(train) [216][1020/1879] lr: 1.0000e-04 eta: 6:02:33 time: 0.2843 data_time: 0.0220 memory: 8198 grad_norm: 7.2374 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9527 loss: 0.9527 2022/08/03 23:22:17 - mmengine - INFO - Epoch(train) [216][1040/1879] lr: 1.0000e-04 eta: 6:02:28 time: 0.2886 data_time: 0.0207 memory: 8198 grad_norm: 7.4310 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9333 loss: 0.9333 2022/08/03 23:22:23 - mmengine - INFO - Epoch(train) [216][1060/1879] lr: 1.0000e-04 eta: 6:02:22 time: 0.2903 data_time: 0.0264 memory: 8198 grad_norm: 7.1242 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/08/03 23:22:29 - mmengine - INFO - Epoch(train) [216][1080/1879] lr: 1.0000e-04 eta: 6:02:16 time: 0.2910 data_time: 0.0209 memory: 8198 grad_norm: 6.9390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0169 loss: 1.0169 2022/08/03 23:22:34 - mmengine - INFO - Epoch(train) [216][1100/1879] lr: 1.0000e-04 eta: 6:02:11 time: 0.2874 data_time: 0.0278 memory: 8198 grad_norm: 7.3289 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1015 loss: 1.1015 2022/08/03 23:22:40 - mmengine - INFO - Epoch(train) [216][1120/1879] lr: 1.0000e-04 eta: 6:02:05 time: 0.2890 data_time: 0.0224 memory: 8198 grad_norm: 7.2090 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0063 loss: 1.0063 2022/08/03 23:22:46 - mmengine - INFO - Epoch(train) [216][1140/1879] lr: 1.0000e-04 eta: 6:01:59 time: 0.2848 data_time: 0.0224 memory: 8198 grad_norm: 7.6262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0201 loss: 1.0201 2022/08/03 23:22:52 - mmengine - INFO - Epoch(train) [216][1160/1879] lr: 1.0000e-04 eta: 6:01:53 time: 0.2858 data_time: 0.0206 memory: 8198 grad_norm: 7.2260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/08/03 23:22:58 - mmengine - INFO - Epoch(train) [216][1180/1879] lr: 1.0000e-04 eta: 6:01:48 time: 0.2881 data_time: 0.0233 memory: 8198 grad_norm: 7.1665 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0761 loss: 1.0761 2022/08/03 23:23:03 - mmengine - INFO - Epoch(train) [216][1200/1879] lr: 1.0000e-04 eta: 6:01:42 time: 0.2864 data_time: 0.0185 memory: 8198 grad_norm: 7.3022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9553 loss: 0.9553 2022/08/03 23:23:09 - mmengine - INFO - Epoch(train) [216][1220/1879] lr: 1.0000e-04 eta: 6:01:36 time: 0.2880 data_time: 0.0254 memory: 8198 grad_norm: 7.1980 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0025 loss: 1.0025 2022/08/03 23:23:15 - mmengine - INFO - Epoch(train) [216][1240/1879] lr: 1.0000e-04 eta: 6:01:31 time: 0.2891 data_time: 0.0230 memory: 8198 grad_norm: 7.3837 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0038 loss: 1.0038 2022/08/03 23:23:21 - mmengine - INFO - Epoch(train) [216][1260/1879] lr: 1.0000e-04 eta: 6:01:25 time: 0.2900 data_time: 0.0270 memory: 8198 grad_norm: 7.2025 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9714 loss: 0.9714 2022/08/03 23:23:27 - mmengine - INFO - Epoch(train) [216][1280/1879] lr: 1.0000e-04 eta: 6:01:19 time: 0.2859 data_time: 0.0263 memory: 8198 grad_norm: 7.2403 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/08/03 23:23:32 - mmengine - INFO - Epoch(train) [216][1300/1879] lr: 1.0000e-04 eta: 6:01:13 time: 0.2873 data_time: 0.0273 memory: 8198 grad_norm: 6.9441 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7283 loss: 0.7283 2022/08/03 23:23:38 - mmengine - INFO - Epoch(train) [216][1320/1879] lr: 1.0000e-04 eta: 6:01:08 time: 0.3053 data_time: 0.0222 memory: 8198 grad_norm: 7.1308 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9585 loss: 0.9585 2022/08/03 23:23:44 - mmengine - INFO - Epoch(train) [216][1340/1879] lr: 1.0000e-04 eta: 6:01:02 time: 0.2941 data_time: 0.0279 memory: 8198 grad_norm: 7.3860 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1138 loss: 1.1138 2022/08/03 23:23:50 - mmengine - INFO - Epoch(train) [216][1360/1879] lr: 1.0000e-04 eta: 6:00:56 time: 0.2837 data_time: 0.0240 memory: 8198 grad_norm: 7.2313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9535 loss: 0.9535 2022/08/03 23:23:56 - mmengine - INFO - Epoch(train) [216][1380/1879] lr: 1.0000e-04 eta: 6:00:51 time: 0.2905 data_time: 0.0245 memory: 8198 grad_norm: 6.9118 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/08/03 23:24:02 - mmengine - INFO - Epoch(train) [216][1400/1879] lr: 1.0000e-04 eta: 6:00:45 time: 0.2844 data_time: 0.0180 memory: 8198 grad_norm: 7.4595 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8699 loss: 0.8699 2022/08/03 23:24:07 - mmengine - INFO - Epoch(train) [216][1420/1879] lr: 1.0000e-04 eta: 6:00:39 time: 0.2897 data_time: 0.0224 memory: 8198 grad_norm: 7.3947 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0654 loss: 1.0654 2022/08/03 23:24:13 - mmengine - INFO - Epoch(train) [216][1440/1879] lr: 1.0000e-04 eta: 6:00:34 time: 0.2873 data_time: 0.0232 memory: 8198 grad_norm: 7.1254 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9184 loss: 0.9184 2022/08/03 23:24:19 - mmengine - INFO - Epoch(train) [216][1460/1879] lr: 1.0000e-04 eta: 6:00:28 time: 0.2936 data_time: 0.0258 memory: 8198 grad_norm: 7.1639 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/03 23:24:25 - mmengine - INFO - Epoch(train) [216][1480/1879] lr: 1.0000e-04 eta: 6:00:22 time: 0.2877 data_time: 0.0215 memory: 8198 grad_norm: 6.9095 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0740 loss: 1.0740 2022/08/03 23:24:31 - mmengine - INFO - Epoch(train) [216][1500/1879] lr: 1.0000e-04 eta: 6:00:16 time: 0.2861 data_time: 0.0177 memory: 8198 grad_norm: 7.1120 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0026 loss: 1.0026 2022/08/03 23:24:36 - mmengine - INFO - Epoch(train) [216][1520/1879] lr: 1.0000e-04 eta: 6:00:11 time: 0.2899 data_time: 0.0245 memory: 8198 grad_norm: 7.5690 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/08/03 23:24:42 - mmengine - INFO - Epoch(train) [216][1540/1879] lr: 1.0000e-04 eta: 6:00:05 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 7.0249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9524 loss: 0.9524 2022/08/03 23:24:48 - mmengine - INFO - Epoch(train) [216][1560/1879] lr: 1.0000e-04 eta: 5:59:59 time: 0.2891 data_time: 0.0291 memory: 8198 grad_norm: 7.1908 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9361 loss: 0.9361 2022/08/03 23:24:54 - mmengine - INFO - Epoch(train) [216][1580/1879] lr: 1.0000e-04 eta: 5:59:54 time: 0.2865 data_time: 0.0236 memory: 8198 grad_norm: 7.2467 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9322 loss: 0.9322 2022/08/03 23:25:00 - mmengine - INFO - Epoch(train) [216][1600/1879] lr: 1.0000e-04 eta: 5:59:48 time: 0.2886 data_time: 0.0262 memory: 8198 grad_norm: 7.3210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8288 loss: 0.8288 2022/08/03 23:25:05 - mmengine - INFO - Epoch(train) [216][1620/1879] lr: 1.0000e-04 eta: 5:59:42 time: 0.2866 data_time: 0.0211 memory: 8198 grad_norm: 7.4182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0545 loss: 1.0545 2022/08/03 23:25:11 - mmengine - INFO - Epoch(train) [216][1640/1879] lr: 1.0000e-04 eta: 5:59:36 time: 0.2870 data_time: 0.0217 memory: 8198 grad_norm: 7.2167 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7794 loss: 0.7794 2022/08/03 23:25:17 - mmengine - INFO - Epoch(train) [216][1660/1879] lr: 1.0000e-04 eta: 5:59:31 time: 0.2890 data_time: 0.0231 memory: 8198 grad_norm: 7.1567 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8866 loss: 0.8866 2022/08/03 23:25:23 - mmengine - INFO - Epoch(train) [216][1680/1879] lr: 1.0000e-04 eta: 5:59:25 time: 0.2874 data_time: 0.0213 memory: 8198 grad_norm: 7.2756 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8902 loss: 0.8902 2022/08/03 23:25:28 - mmengine - INFO - Epoch(train) [216][1700/1879] lr: 1.0000e-04 eta: 5:59:19 time: 0.2858 data_time: 0.0237 memory: 8198 grad_norm: 7.3978 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7601 loss: 0.7601 2022/08/03 23:25:34 - mmengine - INFO - Epoch(train) [216][1720/1879] lr: 1.0000e-04 eta: 5:59:13 time: 0.2878 data_time: 0.0236 memory: 8198 grad_norm: 7.4001 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0118 loss: 1.0118 2022/08/03 23:25:40 - mmengine - INFO - Epoch(train) [216][1740/1879] lr: 1.0000e-04 eta: 5:59:08 time: 0.2958 data_time: 0.0172 memory: 8198 grad_norm: 7.0905 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0409 loss: 1.0409 2022/08/03 23:25:46 - mmengine - INFO - Epoch(train) [216][1760/1879] lr: 1.0000e-04 eta: 5:59:02 time: 0.2852 data_time: 0.0214 memory: 8198 grad_norm: 7.3194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0344 loss: 1.0344 2022/08/03 23:25:52 - mmengine - INFO - Epoch(train) [216][1780/1879] lr: 1.0000e-04 eta: 5:58:56 time: 0.2900 data_time: 0.0247 memory: 8198 grad_norm: 7.4538 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9895 loss: 0.9895 2022/08/03 23:25:58 - mmengine - INFO - Epoch(train) [216][1800/1879] lr: 1.0000e-04 eta: 5:58:51 time: 0.2883 data_time: 0.0191 memory: 8198 grad_norm: 7.2823 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9060 loss: 0.9060 2022/08/03 23:26:03 - mmengine - INFO - Epoch(train) [216][1820/1879] lr: 1.0000e-04 eta: 5:58:45 time: 0.2873 data_time: 0.0237 memory: 8198 grad_norm: 7.4384 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0769 loss: 1.0769 2022/08/03 23:26:09 - mmengine - INFO - Epoch(train) [216][1840/1879] lr: 1.0000e-04 eta: 5:58:39 time: 0.2846 data_time: 0.0195 memory: 8198 grad_norm: 7.2782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9171 loss: 0.9171 2022/08/03 23:26:15 - mmengine - INFO - Epoch(train) [216][1860/1879] lr: 1.0000e-04 eta: 5:58:34 time: 0.3023 data_time: 0.0265 memory: 8198 grad_norm: 7.3062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8742 loss: 0.8742 2022/08/03 23:26:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:26:20 - mmengine - INFO - Epoch(train) [216][1879/1879] lr: 1.0000e-04 eta: 5:58:34 time: 0.2596 data_time: 0.0164 memory: 8198 grad_norm: 7.4754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8890 loss: 0.8890 2022/08/03 23:26:20 - mmengine - INFO - Saving checkpoint at 216 epochs 2022/08/03 23:26:30 - mmengine - INFO - Epoch(train) [217][20/1879] lr: 1.0000e-04 eta: 5:58:22 time: 0.3657 data_time: 0.1015 memory: 8198 grad_norm: 7.3542 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9279 loss: 0.9279 2022/08/03 23:26:36 - mmengine - INFO - Epoch(train) [217][40/1879] lr: 1.0000e-04 eta: 5:58:16 time: 0.3200 data_time: 0.0252 memory: 8198 grad_norm: 7.3314 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9313 loss: 0.9313 2022/08/03 23:26:42 - mmengine - INFO - Epoch(train) [217][60/1879] lr: 1.0000e-04 eta: 5:58:10 time: 0.2832 data_time: 0.0240 memory: 8198 grad_norm: 7.1757 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0923 loss: 1.0923 2022/08/03 23:26:48 - mmengine - INFO - Epoch(train) [217][80/1879] lr: 1.0000e-04 eta: 5:58:05 time: 0.2859 data_time: 0.0234 memory: 8198 grad_norm: 7.1435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/03 23:26:54 - mmengine - INFO - Epoch(train) [217][100/1879] lr: 1.0000e-04 eta: 5:57:59 time: 0.2884 data_time: 0.0252 memory: 8198 grad_norm: 7.4223 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9914 loss: 0.9914 2022/08/03 23:26:59 - mmengine - INFO - Epoch(train) [217][120/1879] lr: 1.0000e-04 eta: 5:57:53 time: 0.2879 data_time: 0.0252 memory: 8198 grad_norm: 7.2274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/03 23:27:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:27:05 - mmengine - INFO - Epoch(train) [217][140/1879] lr: 1.0000e-04 eta: 5:57:47 time: 0.2861 data_time: 0.0226 memory: 8198 grad_norm: 7.2990 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0239 loss: 1.0239 2022/08/03 23:27:11 - mmengine - INFO - Epoch(train) [217][160/1879] lr: 1.0000e-04 eta: 5:57:42 time: 0.2859 data_time: 0.0227 memory: 8198 grad_norm: 7.3833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9210 loss: 0.9210 2022/08/03 23:27:17 - mmengine - INFO - Epoch(train) [217][180/1879] lr: 1.0000e-04 eta: 5:57:36 time: 0.2857 data_time: 0.0245 memory: 8198 grad_norm: 7.3048 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/08/03 23:27:22 - mmengine - INFO - Epoch(train) [217][200/1879] lr: 1.0000e-04 eta: 5:57:30 time: 0.2899 data_time: 0.0263 memory: 8198 grad_norm: 7.2779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9067 loss: 0.9067 2022/08/03 23:27:28 - mmengine - INFO - Epoch(train) [217][220/1879] lr: 1.0000e-04 eta: 5:57:25 time: 0.2829 data_time: 0.0207 memory: 8198 grad_norm: 7.3991 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8670 loss: 0.8670 2022/08/03 23:27:34 - mmengine - INFO - Epoch(train) [217][240/1879] lr: 1.0000e-04 eta: 5:57:19 time: 0.2876 data_time: 0.0247 memory: 8198 grad_norm: 7.3367 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0585 loss: 1.0585 2022/08/03 23:27:40 - mmengine - INFO - Epoch(train) [217][260/1879] lr: 1.0000e-04 eta: 5:57:13 time: 0.2862 data_time: 0.0222 memory: 8198 grad_norm: 7.2279 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1137 loss: 1.1137 2022/08/03 23:27:45 - mmengine - INFO - Epoch(train) [217][280/1879] lr: 1.0000e-04 eta: 5:57:07 time: 0.2877 data_time: 0.0214 memory: 8198 grad_norm: 7.6143 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0102 loss: 1.0102 2022/08/03 23:27:51 - mmengine - INFO - Epoch(train) [217][300/1879] lr: 1.0000e-04 eta: 5:57:02 time: 0.2855 data_time: 0.0218 memory: 8198 grad_norm: 7.2325 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/08/03 23:27:57 - mmengine - INFO - Epoch(train) [217][320/1879] lr: 1.0000e-04 eta: 5:56:56 time: 0.2870 data_time: 0.0232 memory: 8198 grad_norm: 6.9357 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1703 loss: 1.1703 2022/08/03 23:28:03 - mmengine - INFO - Epoch(train) [217][340/1879] lr: 1.0000e-04 eta: 5:56:50 time: 0.2864 data_time: 0.0256 memory: 8198 grad_norm: 7.3065 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9761 loss: 0.9761 2022/08/03 23:28:08 - mmengine - INFO - Epoch(train) [217][360/1879] lr: 1.0000e-04 eta: 5:56:44 time: 0.2859 data_time: 0.0202 memory: 8198 grad_norm: 7.3095 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8823 loss: 0.8823 2022/08/03 23:28:14 - mmengine - INFO - Epoch(train) [217][380/1879] lr: 1.0000e-04 eta: 5:56:39 time: 0.2877 data_time: 0.0233 memory: 8198 grad_norm: 7.2726 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0196 loss: 1.0196 2022/08/03 23:28:20 - mmengine - INFO - Epoch(train) [217][400/1879] lr: 1.0000e-04 eta: 5:56:33 time: 0.2891 data_time: 0.0209 memory: 8198 grad_norm: 7.3589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0193 loss: 1.0193 2022/08/03 23:28:26 - mmengine - INFO - Epoch(train) [217][420/1879] lr: 1.0000e-04 eta: 5:56:27 time: 0.2861 data_time: 0.0208 memory: 8198 grad_norm: 7.3514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8779 loss: 0.8779 2022/08/03 23:28:32 - mmengine - INFO - Epoch(train) [217][440/1879] lr: 1.0000e-04 eta: 5:56:22 time: 0.2895 data_time: 0.0264 memory: 8198 grad_norm: 7.2367 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0363 loss: 1.0363 2022/08/03 23:28:37 - mmengine - INFO - Epoch(train) [217][460/1879] lr: 1.0000e-04 eta: 5:56:16 time: 0.2880 data_time: 0.0212 memory: 8198 grad_norm: 7.2274 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1026 loss: 1.1026 2022/08/03 23:28:43 - mmengine - INFO - Epoch(train) [217][480/1879] lr: 1.0000e-04 eta: 5:56:10 time: 0.2872 data_time: 0.0267 memory: 8198 grad_norm: 7.1418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0427 loss: 1.0427 2022/08/03 23:28:49 - mmengine - INFO - Epoch(train) [217][500/1879] lr: 1.0000e-04 eta: 5:56:04 time: 0.2857 data_time: 0.0251 memory: 8198 grad_norm: 7.0990 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9070 loss: 0.9070 2022/08/03 23:28:55 - mmengine - INFO - Epoch(train) [217][520/1879] lr: 1.0000e-04 eta: 5:55:59 time: 0.3005 data_time: 0.0290 memory: 8198 grad_norm: 7.3536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1150 loss: 1.1150 2022/08/03 23:29:01 - mmengine - INFO - Epoch(train) [217][540/1879] lr: 1.0000e-04 eta: 5:55:53 time: 0.2858 data_time: 0.0218 memory: 8198 grad_norm: 7.3951 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/03 23:29:07 - mmengine - INFO - Epoch(train) [217][560/1879] lr: 1.0000e-04 eta: 5:55:47 time: 0.2873 data_time: 0.0216 memory: 8198 grad_norm: 6.8802 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/08/03 23:29:13 - mmengine - INFO - Epoch(train) [217][580/1879] lr: 1.0000e-04 eta: 5:55:42 time: 0.2998 data_time: 0.0271 memory: 8198 grad_norm: 7.2891 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/08/03 23:29:18 - mmengine - INFO - Epoch(train) [217][600/1879] lr: 1.0000e-04 eta: 5:55:36 time: 0.2858 data_time: 0.0247 memory: 8198 grad_norm: 7.1909 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8327 loss: 0.8327 2022/08/03 23:29:24 - mmengine - INFO - Epoch(train) [217][620/1879] lr: 1.0000e-04 eta: 5:55:30 time: 0.2879 data_time: 0.0237 memory: 8198 grad_norm: 7.4520 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9978 loss: 0.9978 2022/08/03 23:29:30 - mmengine - INFO - Epoch(train) [217][640/1879] lr: 1.0000e-04 eta: 5:55:25 time: 0.2937 data_time: 0.0209 memory: 8198 grad_norm: 7.4067 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8599 loss: 0.8599 2022/08/03 23:29:36 - mmengine - INFO - Epoch(train) [217][660/1879] lr: 1.0000e-04 eta: 5:55:19 time: 0.2862 data_time: 0.0228 memory: 8198 grad_norm: 6.9215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9521 loss: 0.9521 2022/08/03 23:29:42 - mmengine - INFO - Epoch(train) [217][680/1879] lr: 1.0000e-04 eta: 5:55:13 time: 0.2880 data_time: 0.0221 memory: 8198 grad_norm: 7.4691 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9851 loss: 0.9851 2022/08/03 23:29:47 - mmengine - INFO - Epoch(train) [217][700/1879] lr: 1.0000e-04 eta: 5:55:07 time: 0.2963 data_time: 0.0205 memory: 8198 grad_norm: 7.3078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1095 loss: 1.1095 2022/08/03 23:29:53 - mmengine - INFO - Epoch(train) [217][720/1879] lr: 1.0000e-04 eta: 5:55:02 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 7.3475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1297 loss: 1.1297 2022/08/03 23:29:59 - mmengine - INFO - Epoch(train) [217][740/1879] lr: 1.0000e-04 eta: 5:54:56 time: 0.2863 data_time: 0.0210 memory: 8198 grad_norm: 6.9926 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8987 loss: 0.8987 2022/08/03 23:30:05 - mmengine - INFO - Epoch(train) [217][760/1879] lr: 1.0000e-04 eta: 5:54:50 time: 0.2933 data_time: 0.0223 memory: 8198 grad_norm: 7.0723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/08/03 23:30:11 - mmengine - INFO - Epoch(train) [217][780/1879] lr: 1.0000e-04 eta: 5:54:45 time: 0.2856 data_time: 0.0205 memory: 8198 grad_norm: 7.1616 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9671 loss: 0.9671 2022/08/03 23:30:16 - mmengine - INFO - Epoch(train) [217][800/1879] lr: 1.0000e-04 eta: 5:54:39 time: 0.2880 data_time: 0.0268 memory: 8198 grad_norm: 7.2482 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8967 loss: 0.8967 2022/08/03 23:30:22 - mmengine - INFO - Epoch(train) [217][820/1879] lr: 1.0000e-04 eta: 5:54:33 time: 0.2934 data_time: 0.0246 memory: 8198 grad_norm: 7.0237 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0137 loss: 1.0137 2022/08/03 23:30:28 - mmengine - INFO - Epoch(train) [217][840/1879] lr: 1.0000e-04 eta: 5:54:27 time: 0.2880 data_time: 0.0213 memory: 8198 grad_norm: 7.2710 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9592 loss: 0.9592 2022/08/03 23:30:34 - mmengine - INFO - Epoch(train) [217][860/1879] lr: 1.0000e-04 eta: 5:54:22 time: 0.2863 data_time: 0.0274 memory: 8198 grad_norm: 7.3937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1194 loss: 1.1194 2022/08/03 23:30:40 - mmengine - INFO - Epoch(train) [217][880/1879] lr: 1.0000e-04 eta: 5:54:16 time: 0.2938 data_time: 0.0241 memory: 8198 grad_norm: 7.1756 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9174 loss: 0.9174 2022/08/03 23:30:46 - mmengine - INFO - Epoch(train) [217][900/1879] lr: 1.0000e-04 eta: 5:54:10 time: 0.2867 data_time: 0.0222 memory: 8198 grad_norm: 7.2329 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0964 loss: 1.0964 2022/08/03 23:30:51 - mmengine - INFO - Epoch(train) [217][920/1879] lr: 1.0000e-04 eta: 5:54:05 time: 0.2849 data_time: 0.0220 memory: 8198 grad_norm: 6.9767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7440 loss: 0.7440 2022/08/03 23:30:57 - mmengine - INFO - Epoch(train) [217][940/1879] lr: 1.0000e-04 eta: 5:53:59 time: 0.2950 data_time: 0.0196 memory: 8198 grad_norm: 7.1179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9819 loss: 0.9819 2022/08/03 23:31:03 - mmengine - INFO - Epoch(train) [217][960/1879] lr: 1.0000e-04 eta: 5:53:53 time: 0.2868 data_time: 0.0219 memory: 8198 grad_norm: 7.4232 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8625 loss: 0.8625 2022/08/03 23:31:09 - mmengine - INFO - Epoch(train) [217][980/1879] lr: 1.0000e-04 eta: 5:53:47 time: 0.2927 data_time: 0.0201 memory: 8198 grad_norm: 7.3181 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9250 loss: 0.9250 2022/08/03 23:31:15 - mmengine - INFO - Epoch(train) [217][1000/1879] lr: 1.0000e-04 eta: 5:53:42 time: 0.2851 data_time: 0.0218 memory: 8198 grad_norm: 7.5737 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9640 loss: 0.9640 2022/08/03 23:31:20 - mmengine - INFO - Epoch(train) [217][1020/1879] lr: 1.0000e-04 eta: 5:53:36 time: 0.2857 data_time: 0.0210 memory: 8198 grad_norm: 7.1475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0761 loss: 1.0761 2022/08/03 23:31:26 - mmengine - INFO - Epoch(train) [217][1040/1879] lr: 1.0000e-04 eta: 5:53:30 time: 0.2928 data_time: 0.0248 memory: 8198 grad_norm: 7.1493 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9722 loss: 0.9722 2022/08/03 23:31:32 - mmengine - INFO - Epoch(train) [217][1060/1879] lr: 1.0000e-04 eta: 5:53:25 time: 0.2857 data_time: 0.0242 memory: 8198 grad_norm: 7.1793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9193 loss: 0.9193 2022/08/03 23:31:38 - mmengine - INFO - Epoch(train) [217][1080/1879] lr: 1.0000e-04 eta: 5:53:19 time: 0.2854 data_time: 0.0206 memory: 8198 grad_norm: 7.1144 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0013 loss: 1.0013 2022/08/03 23:31:44 - mmengine - INFO - Epoch(train) [217][1100/1879] lr: 1.0000e-04 eta: 5:53:13 time: 0.2916 data_time: 0.0298 memory: 8198 grad_norm: 7.4409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0011 loss: 1.0011 2022/08/03 23:31:49 - mmengine - INFO - Epoch(train) [217][1120/1879] lr: 1.0000e-04 eta: 5:53:07 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 7.1628 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0662 loss: 1.0662 2022/08/03 23:31:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:31:55 - mmengine - INFO - Epoch(train) [217][1140/1879] lr: 1.0000e-04 eta: 5:53:02 time: 0.2865 data_time: 0.0244 memory: 8198 grad_norm: 7.0590 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7405 loss: 0.7405 2022/08/03 23:32:01 - mmengine - INFO - Epoch(train) [217][1160/1879] lr: 1.0000e-04 eta: 5:52:56 time: 0.2885 data_time: 0.0245 memory: 8198 grad_norm: 7.4782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9759 loss: 0.9759 2022/08/03 23:32:07 - mmengine - INFO - Epoch(train) [217][1180/1879] lr: 1.0000e-04 eta: 5:52:50 time: 0.2914 data_time: 0.0284 memory: 8198 grad_norm: 7.1857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/08/03 23:32:13 - mmengine - INFO - Epoch(train) [217][1200/1879] lr: 1.0000e-04 eta: 5:52:45 time: 0.2861 data_time: 0.0257 memory: 8198 grad_norm: 7.4757 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9454 loss: 0.9454 2022/08/03 23:32:18 - mmengine - INFO - Epoch(train) [217][1220/1879] lr: 1.0000e-04 eta: 5:52:39 time: 0.2881 data_time: 0.0194 memory: 8198 grad_norm: 7.3807 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9707 loss: 0.9707 2022/08/03 23:32:24 - mmengine - INFO - Epoch(train) [217][1240/1879] lr: 1.0000e-04 eta: 5:52:33 time: 0.2861 data_time: 0.0224 memory: 8198 grad_norm: 7.2055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0344 loss: 1.0344 2022/08/03 23:32:30 - mmengine - INFO - Epoch(train) [217][1260/1879] lr: 1.0000e-04 eta: 5:52:27 time: 0.2899 data_time: 0.0229 memory: 8198 grad_norm: 7.2973 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0077 loss: 1.0077 2022/08/03 23:32:36 - mmengine - INFO - Epoch(train) [217][1280/1879] lr: 1.0000e-04 eta: 5:52:22 time: 0.2867 data_time: 0.0265 memory: 8198 grad_norm: 7.4021 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9629 loss: 0.9629 2022/08/03 23:32:41 - mmengine - INFO - Epoch(train) [217][1300/1879] lr: 1.0000e-04 eta: 5:52:16 time: 0.2844 data_time: 0.0242 memory: 8198 grad_norm: 6.9649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9843 loss: 0.9843 2022/08/03 23:32:47 - mmengine - INFO - Epoch(train) [217][1320/1879] lr: 1.0000e-04 eta: 5:52:10 time: 0.2959 data_time: 0.0238 memory: 8198 grad_norm: 7.3192 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/08/03 23:32:53 - mmengine - INFO - Epoch(train) [217][1340/1879] lr: 1.0000e-04 eta: 5:52:05 time: 0.2851 data_time: 0.0227 memory: 8198 grad_norm: 7.2999 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8366 loss: 0.8366 2022/08/03 23:32:59 - mmengine - INFO - Epoch(train) [217][1360/1879] lr: 1.0000e-04 eta: 5:51:59 time: 0.2857 data_time: 0.0204 memory: 8198 grad_norm: 7.1141 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8098 loss: 0.8098 2022/08/03 23:33:05 - mmengine - INFO - Epoch(train) [217][1380/1879] lr: 1.0000e-04 eta: 5:51:53 time: 0.2855 data_time: 0.0246 memory: 8198 grad_norm: 6.8172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6975 loss: 0.6975 2022/08/03 23:33:10 - mmengine - INFO - Epoch(train) [217][1400/1879] lr: 1.0000e-04 eta: 5:51:47 time: 0.2895 data_time: 0.0218 memory: 8198 grad_norm: 7.1810 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0426 loss: 1.0426 2022/08/03 23:33:16 - mmengine - INFO - Epoch(train) [217][1420/1879] lr: 1.0000e-04 eta: 5:51:42 time: 0.2874 data_time: 0.0220 memory: 8198 grad_norm: 7.4798 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9683 loss: 0.9683 2022/08/03 23:33:22 - mmengine - INFO - Epoch(train) [217][1440/1879] lr: 1.0000e-04 eta: 5:51:36 time: 0.2850 data_time: 0.0224 memory: 8198 grad_norm: 7.2727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8125 loss: 0.8125 2022/08/03 23:33:28 - mmengine - INFO - Epoch(train) [217][1460/1879] lr: 1.0000e-04 eta: 5:51:30 time: 0.2870 data_time: 0.0199 memory: 8198 grad_norm: 7.0115 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/08/03 23:33:33 - mmengine - INFO - Epoch(train) [217][1480/1879] lr: 1.0000e-04 eta: 5:51:24 time: 0.2844 data_time: 0.0204 memory: 8198 grad_norm: 7.2889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9619 loss: 0.9619 2022/08/03 23:33:39 - mmengine - INFO - Epoch(train) [217][1500/1879] lr: 1.0000e-04 eta: 5:51:19 time: 0.2872 data_time: 0.0238 memory: 8198 grad_norm: 7.2691 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9077 loss: 0.9077 2022/08/03 23:33:45 - mmengine - INFO - Epoch(train) [217][1520/1879] lr: 1.0000e-04 eta: 5:51:13 time: 0.2876 data_time: 0.0209 memory: 8198 grad_norm: 7.1441 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0666 loss: 1.0666 2022/08/03 23:33:51 - mmengine - INFO - Epoch(train) [217][1540/1879] lr: 1.0000e-04 eta: 5:51:07 time: 0.2876 data_time: 0.0287 memory: 8198 grad_norm: 7.3746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8459 loss: 0.8459 2022/08/03 23:33:56 - mmengine - INFO - Epoch(train) [217][1560/1879] lr: 1.0000e-04 eta: 5:51:02 time: 0.2875 data_time: 0.0182 memory: 8198 grad_norm: 7.3305 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8633 loss: 0.8633 2022/08/03 23:34:02 - mmengine - INFO - Epoch(train) [217][1580/1879] lr: 1.0000e-04 eta: 5:50:56 time: 0.2854 data_time: 0.0229 memory: 8198 grad_norm: 7.2211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0453 loss: 1.0453 2022/08/03 23:34:08 - mmengine - INFO - Epoch(train) [217][1600/1879] lr: 1.0000e-04 eta: 5:50:50 time: 0.2918 data_time: 0.0206 memory: 8198 grad_norm: 7.5541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/08/03 23:34:14 - mmengine - INFO - Epoch(train) [217][1620/1879] lr: 1.0000e-04 eta: 5:50:44 time: 0.2860 data_time: 0.0260 memory: 8198 grad_norm: 7.3915 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/08/03 23:34:20 - mmengine - INFO - Epoch(train) [217][1640/1879] lr: 1.0000e-04 eta: 5:50:39 time: 0.2881 data_time: 0.0211 memory: 8198 grad_norm: 7.1973 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/08/03 23:34:26 - mmengine - INFO - Epoch(train) [217][1660/1879] lr: 1.0000e-04 eta: 5:50:33 time: 0.2963 data_time: 0.0228 memory: 8198 grad_norm: 7.4212 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0829 loss: 1.0829 2022/08/03 23:34:31 - mmengine - INFO - Epoch(train) [217][1680/1879] lr: 1.0000e-04 eta: 5:50:27 time: 0.2840 data_time: 0.0163 memory: 8198 grad_norm: 7.2268 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0381 loss: 1.0381 2022/08/03 23:34:37 - mmengine - INFO - Epoch(train) [217][1700/1879] lr: 1.0000e-04 eta: 5:50:22 time: 0.2868 data_time: 0.0209 memory: 8198 grad_norm: 7.4706 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1307 loss: 1.1307 2022/08/03 23:34:43 - mmengine - INFO - Epoch(train) [217][1720/1879] lr: 1.0000e-04 eta: 5:50:16 time: 0.2895 data_time: 0.0259 memory: 8198 grad_norm: 7.3310 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9202 loss: 0.9202 2022/08/03 23:34:49 - mmengine - INFO - Epoch(train) [217][1740/1879] lr: 1.0000e-04 eta: 5:50:10 time: 0.2869 data_time: 0.0204 memory: 8198 grad_norm: 7.3317 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/08/03 23:34:54 - mmengine - INFO - Epoch(train) [217][1760/1879] lr: 1.0000e-04 eta: 5:50:04 time: 0.2880 data_time: 0.0225 memory: 8198 grad_norm: 6.9916 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/08/03 23:35:00 - mmengine - INFO - Epoch(train) [217][1780/1879] lr: 1.0000e-04 eta: 5:49:59 time: 0.2870 data_time: 0.0204 memory: 8198 grad_norm: 7.3997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1637 loss: 1.1637 2022/08/03 23:35:06 - mmengine - INFO - Epoch(train) [217][1800/1879] lr: 1.0000e-04 eta: 5:49:53 time: 0.2970 data_time: 0.0196 memory: 8198 grad_norm: 7.4404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8331 loss: 0.8331 2022/08/03 23:35:12 - mmengine - INFO - Epoch(train) [217][1820/1879] lr: 1.0000e-04 eta: 5:49:47 time: 0.2854 data_time: 0.0191 memory: 8198 grad_norm: 7.1294 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0112 loss: 1.0112 2022/08/03 23:35:18 - mmengine - INFO - Epoch(train) [217][1840/1879] lr: 1.0000e-04 eta: 5:49:42 time: 0.2860 data_time: 0.0197 memory: 8198 grad_norm: 7.9084 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0124 loss: 1.0124 2022/08/03 23:35:23 - mmengine - INFO - Epoch(train) [217][1860/1879] lr: 1.0000e-04 eta: 5:49:36 time: 0.2849 data_time: 0.0204 memory: 8198 grad_norm: 7.2022 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8538 loss: 0.8538 2022/08/03 23:35:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:35:28 - mmengine - INFO - Epoch(train) [217][1879/1879] lr: 1.0000e-04 eta: 5:49:36 time: 0.2651 data_time: 0.0143 memory: 8198 grad_norm: 7.3559 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0637 loss: 1.0637 2022/08/03 23:35:37 - mmengine - INFO - Epoch(train) [218][20/1879] lr: 1.0000e-04 eta: 5:49:24 time: 0.4113 data_time: 0.1000 memory: 8198 grad_norm: 7.2269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0064 loss: 1.0064 2022/08/03 23:35:43 - mmengine - INFO - Epoch(train) [218][40/1879] lr: 1.0000e-04 eta: 5:49:18 time: 0.2909 data_time: 0.0235 memory: 8198 grad_norm: 7.2160 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9968 loss: 0.9968 2022/08/03 23:35:49 - mmengine - INFO - Epoch(train) [218][60/1879] lr: 1.0000e-04 eta: 5:49:13 time: 0.3019 data_time: 0.0198 memory: 8198 grad_norm: 7.1617 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8261 loss: 0.8261 2022/08/03 23:35:54 - mmengine - INFO - Epoch(train) [218][80/1879] lr: 1.0000e-04 eta: 5:49:07 time: 0.2847 data_time: 0.0269 memory: 8198 grad_norm: 7.3524 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9041 loss: 0.9041 2022/08/03 23:36:00 - mmengine - INFO - Epoch(train) [218][100/1879] lr: 1.0000e-04 eta: 5:49:01 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 7.2396 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9554 loss: 0.9554 2022/08/03 23:36:06 - mmengine - INFO - Epoch(train) [218][120/1879] lr: 1.0000e-04 eta: 5:48:56 time: 0.3017 data_time: 0.0229 memory: 8198 grad_norm: 7.4171 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9219 loss: 0.9219 2022/08/03 23:36:12 - mmengine - INFO - Epoch(train) [218][140/1879] lr: 1.0000e-04 eta: 5:48:50 time: 0.2857 data_time: 0.0216 memory: 8198 grad_norm: 7.5736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0889 loss: 1.0889 2022/08/03 23:36:18 - mmengine - INFO - Epoch(train) [218][160/1879] lr: 1.0000e-04 eta: 5:48:44 time: 0.2891 data_time: 0.0270 memory: 8198 grad_norm: 7.1176 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/08/03 23:36:23 - mmengine - INFO - Epoch(train) [218][180/1879] lr: 1.0000e-04 eta: 5:48:39 time: 0.2866 data_time: 0.0203 memory: 8198 grad_norm: 7.2064 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9184 loss: 0.9184 2022/08/03 23:36:30 - mmengine - INFO - Epoch(train) [218][200/1879] lr: 1.0000e-04 eta: 5:48:33 time: 0.3017 data_time: 0.0206 memory: 8198 grad_norm: 7.2260 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8455 loss: 0.8455 2022/08/03 23:36:35 - mmengine - INFO - Epoch(train) [218][220/1879] lr: 1.0000e-04 eta: 5:48:27 time: 0.2897 data_time: 0.0188 memory: 8198 grad_norm: 6.8152 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9166 loss: 0.9166 2022/08/03 23:36:41 - mmengine - INFO - Epoch(train) [218][240/1879] lr: 1.0000e-04 eta: 5:48:21 time: 0.2853 data_time: 0.0218 memory: 8198 grad_norm: 7.4071 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9054 loss: 0.9054 2022/08/03 23:36:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:36:47 - mmengine - INFO - Epoch(train) [218][260/1879] lr: 1.0000e-04 eta: 5:48:16 time: 0.2868 data_time: 0.0210 memory: 8198 grad_norm: 7.4361 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0215 loss: 1.0215 2022/08/03 23:36:53 - mmengine - INFO - Epoch(train) [218][280/1879] lr: 1.0000e-04 eta: 5:48:10 time: 0.2875 data_time: 0.0261 memory: 8198 grad_norm: 7.3216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2127 loss: 1.2127 2022/08/03 23:36:58 - mmengine - INFO - Epoch(train) [218][300/1879] lr: 1.0000e-04 eta: 5:48:04 time: 0.2842 data_time: 0.0190 memory: 8198 grad_norm: 7.4559 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0114 loss: 1.0114 2022/08/03 23:37:04 - mmengine - INFO - Epoch(train) [218][320/1879] lr: 1.0000e-04 eta: 5:47:59 time: 0.2885 data_time: 0.0314 memory: 8198 grad_norm: 7.0744 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8507 loss: 0.8507 2022/08/03 23:37:10 - mmengine - INFO - Epoch(train) [218][340/1879] lr: 1.0000e-04 eta: 5:47:53 time: 0.3020 data_time: 0.0203 memory: 8198 grad_norm: 7.2783 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9706 loss: 0.9706 2022/08/03 23:37:16 - mmengine - INFO - Epoch(train) [218][360/1879] lr: 1.0000e-04 eta: 5:47:47 time: 0.2836 data_time: 0.0236 memory: 8198 grad_norm: 7.1828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0149 loss: 1.0149 2022/08/03 23:37:22 - mmengine - INFO - Epoch(train) [218][380/1879] lr: 1.0000e-04 eta: 5:47:41 time: 0.2884 data_time: 0.0216 memory: 8198 grad_norm: 7.0916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0217 loss: 1.0217 2022/08/03 23:37:28 - mmengine - INFO - Epoch(train) [218][400/1879] lr: 1.0000e-04 eta: 5:47:36 time: 0.2893 data_time: 0.0223 memory: 8198 grad_norm: 7.3327 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9752 loss: 0.9752 2022/08/03 23:37:33 - mmengine - INFO - Epoch(train) [218][420/1879] lr: 1.0000e-04 eta: 5:47:30 time: 0.2861 data_time: 0.0203 memory: 8198 grad_norm: 7.2441 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9328 loss: 0.9328 2022/08/03 23:37:39 - mmengine - INFO - Epoch(train) [218][440/1879] lr: 1.0000e-04 eta: 5:47:24 time: 0.2841 data_time: 0.0226 memory: 8198 grad_norm: 7.5119 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/08/03 23:37:45 - mmengine - INFO - Epoch(train) [218][460/1879] lr: 1.0000e-04 eta: 5:47:19 time: 0.2876 data_time: 0.0200 memory: 8198 grad_norm: 7.3345 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0108 loss: 1.0108 2022/08/03 23:37:51 - mmengine - INFO - Epoch(train) [218][480/1879] lr: 1.0000e-04 eta: 5:47:13 time: 0.2958 data_time: 0.0233 memory: 8198 grad_norm: 7.2681 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8370 loss: 0.8370 2022/08/03 23:37:56 - mmengine - INFO - Epoch(train) [218][500/1879] lr: 1.0000e-04 eta: 5:47:07 time: 0.2826 data_time: 0.0212 memory: 8198 grad_norm: 7.0233 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9270 loss: 0.9270 2022/08/03 23:38:02 - mmengine - INFO - Epoch(train) [218][520/1879] lr: 1.0000e-04 eta: 5:47:01 time: 0.2853 data_time: 0.0234 memory: 8198 grad_norm: 7.2905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8263 loss: 0.8263 2022/08/03 23:38:08 - mmengine - INFO - Epoch(train) [218][540/1879] lr: 1.0000e-04 eta: 5:46:56 time: 0.2869 data_time: 0.0225 memory: 8198 grad_norm: 7.3373 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8140 loss: 0.8140 2022/08/03 23:38:14 - mmengine - INFO - Epoch(train) [218][560/1879] lr: 1.0000e-04 eta: 5:46:50 time: 0.2887 data_time: 0.0237 memory: 8198 grad_norm: 7.2641 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9341 loss: 0.9341 2022/08/03 23:38:19 - mmengine - INFO - Epoch(train) [218][580/1879] lr: 1.0000e-04 eta: 5:46:44 time: 0.2858 data_time: 0.0211 memory: 8198 grad_norm: 7.1713 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0066 loss: 1.0066 2022/08/03 23:38:25 - mmengine - INFO - Epoch(train) [218][600/1879] lr: 1.0000e-04 eta: 5:46:39 time: 0.2902 data_time: 0.0240 memory: 8198 grad_norm: 7.1756 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/08/03 23:38:31 - mmengine - INFO - Epoch(train) [218][620/1879] lr: 1.0000e-04 eta: 5:46:33 time: 0.2894 data_time: 0.0187 memory: 8198 grad_norm: 7.3150 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8696 loss: 0.8696 2022/08/03 23:38:37 - mmengine - INFO - Epoch(train) [218][640/1879] lr: 1.0000e-04 eta: 5:46:27 time: 0.2867 data_time: 0.0216 memory: 8198 grad_norm: 7.3965 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9276 loss: 0.9276 2022/08/03 23:38:43 - mmengine - INFO - Epoch(train) [218][660/1879] lr: 1.0000e-04 eta: 5:46:21 time: 0.2827 data_time: 0.0184 memory: 8198 grad_norm: 7.3911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9865 loss: 0.9865 2022/08/03 23:38:49 - mmengine - INFO - Epoch(train) [218][680/1879] lr: 1.0000e-04 eta: 5:46:16 time: 0.2999 data_time: 0.0214 memory: 8198 grad_norm: 7.0839 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8997 loss: 0.8997 2022/08/03 23:38:54 - mmengine - INFO - Epoch(train) [218][700/1879] lr: 1.0000e-04 eta: 5:46:10 time: 0.2840 data_time: 0.0209 memory: 8198 grad_norm: 7.1081 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9203 loss: 0.9203 2022/08/03 23:39:00 - mmengine - INFO - Epoch(train) [218][720/1879] lr: 1.0000e-04 eta: 5:46:04 time: 0.2879 data_time: 0.0245 memory: 8198 grad_norm: 7.2336 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/08/03 23:39:06 - mmengine - INFO - Epoch(train) [218][740/1879] lr: 1.0000e-04 eta: 5:45:59 time: 0.3012 data_time: 0.0237 memory: 8198 grad_norm: 7.2971 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9330 loss: 0.9330 2022/08/03 23:39:12 - mmengine - INFO - Epoch(train) [218][760/1879] lr: 1.0000e-04 eta: 5:45:53 time: 0.2859 data_time: 0.0208 memory: 8198 grad_norm: 7.4687 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9797 loss: 0.9797 2022/08/03 23:39:18 - mmengine - INFO - Epoch(train) [218][780/1879] lr: 1.0000e-04 eta: 5:45:47 time: 0.2874 data_time: 0.0222 memory: 8198 grad_norm: 7.5526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1253 loss: 1.1253 2022/08/03 23:39:23 - mmengine - INFO - Epoch(train) [218][800/1879] lr: 1.0000e-04 eta: 5:45:41 time: 0.2869 data_time: 0.0226 memory: 8198 grad_norm: 7.3171 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9920 loss: 0.9920 2022/08/03 23:39:29 - mmengine - INFO - Epoch(train) [218][820/1879] lr: 1.0000e-04 eta: 5:45:36 time: 0.2833 data_time: 0.0182 memory: 8198 grad_norm: 7.4930 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0407 loss: 1.0407 2022/08/03 23:39:35 - mmengine - INFO - Epoch(train) [218][840/1879] lr: 1.0000e-04 eta: 5:45:30 time: 0.2939 data_time: 0.0289 memory: 8198 grad_norm: 7.4039 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1046 loss: 1.1046 2022/08/03 23:39:41 - mmengine - INFO - Epoch(train) [218][860/1879] lr: 1.0000e-04 eta: 5:45:24 time: 0.2971 data_time: 0.0233 memory: 8198 grad_norm: 7.0033 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9882 loss: 0.9882 2022/08/03 23:39:47 - mmengine - INFO - Epoch(train) [218][880/1879] lr: 1.0000e-04 eta: 5:45:19 time: 0.2859 data_time: 0.0219 memory: 8198 grad_norm: 7.0068 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9376 loss: 0.9376 2022/08/03 23:39:53 - mmengine - INFO - Epoch(train) [218][900/1879] lr: 1.0000e-04 eta: 5:45:13 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 7.2708 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9211 loss: 0.9211 2022/08/03 23:39:58 - mmengine - INFO - Epoch(train) [218][920/1879] lr: 1.0000e-04 eta: 5:45:07 time: 0.2880 data_time: 0.0245 memory: 8198 grad_norm: 7.3642 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0283 loss: 1.0283 2022/08/03 23:40:04 - mmengine - INFO - Epoch(train) [218][940/1879] lr: 1.0000e-04 eta: 5:45:01 time: 0.2877 data_time: 0.0237 memory: 8198 grad_norm: 7.7164 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9281 loss: 0.9281 2022/08/03 23:40:10 - mmengine - INFO - Epoch(train) [218][960/1879] lr: 1.0000e-04 eta: 5:44:56 time: 0.2866 data_time: 0.0229 memory: 8198 grad_norm: 7.1592 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8612 loss: 0.8612 2022/08/03 23:40:16 - mmengine - INFO - Epoch(train) [218][980/1879] lr: 1.0000e-04 eta: 5:44:50 time: 0.2938 data_time: 0.0278 memory: 8198 grad_norm: 7.0839 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9062 loss: 0.9062 2022/08/03 23:40:22 - mmengine - INFO - Epoch(train) [218][1000/1879] lr: 1.0000e-04 eta: 5:44:44 time: 0.2856 data_time: 0.0229 memory: 8198 grad_norm: 7.2713 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9205 loss: 0.9205 2022/08/03 23:40:27 - mmengine - INFO - Epoch(train) [218][1020/1879] lr: 1.0000e-04 eta: 5:44:39 time: 0.2863 data_time: 0.0214 memory: 8198 grad_norm: 7.3093 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1146 loss: 1.1146 2022/08/03 23:40:33 - mmengine - INFO - Epoch(train) [218][1040/1879] lr: 1.0000e-04 eta: 5:44:33 time: 0.2870 data_time: 0.0228 memory: 8198 grad_norm: 7.2911 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9036 loss: 0.9036 2022/08/03 23:40:39 - mmengine - INFO - Epoch(train) [218][1060/1879] lr: 1.0000e-04 eta: 5:44:27 time: 0.2930 data_time: 0.0227 memory: 8198 grad_norm: 7.1260 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8631 loss: 0.8631 2022/08/03 23:40:45 - mmengine - INFO - Epoch(train) [218][1080/1879] lr: 1.0000e-04 eta: 5:44:21 time: 0.2851 data_time: 0.0192 memory: 8198 grad_norm: 7.4979 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/03 23:40:50 - mmengine - INFO - Epoch(train) [218][1100/1879] lr: 1.0000e-04 eta: 5:44:16 time: 0.2852 data_time: 0.0223 memory: 8198 grad_norm: 7.4848 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0667 loss: 1.0667 2022/08/03 23:40:56 - mmengine - INFO - Epoch(train) [218][1120/1879] lr: 1.0000e-04 eta: 5:44:10 time: 0.2935 data_time: 0.0205 memory: 8198 grad_norm: 7.2279 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9838 loss: 0.9838 2022/08/03 23:41:02 - mmengine - INFO - Epoch(train) [218][1140/1879] lr: 1.0000e-04 eta: 5:44:04 time: 0.2937 data_time: 0.0184 memory: 8198 grad_norm: 7.3152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8551 loss: 0.8551 2022/08/03 23:41:08 - mmengine - INFO - Epoch(train) [218][1160/1879] lr: 1.0000e-04 eta: 5:43:59 time: 0.2848 data_time: 0.0202 memory: 8198 grad_norm: 7.3891 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9496 loss: 0.9496 2022/08/03 23:41:14 - mmengine - INFO - Epoch(train) [218][1180/1879] lr: 1.0000e-04 eta: 5:43:53 time: 0.2897 data_time: 0.0249 memory: 8198 grad_norm: 7.2045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0400 loss: 1.0400 2022/08/03 23:41:20 - mmengine - INFO - Epoch(train) [218][1200/1879] lr: 1.0000e-04 eta: 5:43:47 time: 0.2909 data_time: 0.0234 memory: 8198 grad_norm: 7.2363 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8820 loss: 0.8820 2022/08/03 23:41:25 - mmengine - INFO - Epoch(train) [218][1220/1879] lr: 1.0000e-04 eta: 5:43:41 time: 0.2874 data_time: 0.0183 memory: 8198 grad_norm: 7.2096 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9893 loss: 0.9893 2022/08/03 23:41:31 - mmengine - INFO - Epoch(train) [218][1240/1879] lr: 1.0000e-04 eta: 5:43:36 time: 0.2842 data_time: 0.0188 memory: 8198 grad_norm: 6.9847 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8483 loss: 0.8483 2022/08/03 23:41:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:41:37 - mmengine - INFO - Epoch(train) [218][1260/1879] lr: 1.0000e-04 eta: 5:43:30 time: 0.2901 data_time: 0.0271 memory: 8198 grad_norm: 7.3923 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/08/03 23:41:43 - mmengine - INFO - Epoch(train) [218][1280/1879] lr: 1.0000e-04 eta: 5:43:24 time: 0.2896 data_time: 0.0253 memory: 8198 grad_norm: 7.4052 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8651 loss: 0.8651 2022/08/03 23:41:48 - mmengine - INFO - Epoch(train) [218][1300/1879] lr: 1.0000e-04 eta: 5:43:19 time: 0.2853 data_time: 0.0282 memory: 8198 grad_norm: 7.0032 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/08/03 23:41:54 - mmengine - INFO - Epoch(train) [218][1320/1879] lr: 1.0000e-04 eta: 5:43:13 time: 0.2837 data_time: 0.0235 memory: 8198 grad_norm: 7.0980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1155 loss: 1.1155 2022/08/03 23:42:00 - mmengine - INFO - Epoch(train) [218][1340/1879] lr: 1.0000e-04 eta: 5:43:07 time: 0.2958 data_time: 0.0226 memory: 8198 grad_norm: 7.6403 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8506 loss: 0.8506 2022/08/03 23:42:06 - mmengine - INFO - Epoch(train) [218][1360/1879] lr: 1.0000e-04 eta: 5:43:01 time: 0.2845 data_time: 0.0190 memory: 8198 grad_norm: 7.1025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/08/03 23:42:12 - mmengine - INFO - Epoch(train) [218][1380/1879] lr: 1.0000e-04 eta: 5:42:56 time: 0.2924 data_time: 0.0316 memory: 8198 grad_norm: 7.2308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/08/03 23:42:18 - mmengine - INFO - Epoch(train) [218][1400/1879] lr: 1.0000e-04 eta: 5:42:50 time: 0.2992 data_time: 0.0202 memory: 8198 grad_norm: 7.6116 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/03 23:42:23 - mmengine - INFO - Epoch(train) [218][1420/1879] lr: 1.0000e-04 eta: 5:42:44 time: 0.2828 data_time: 0.0175 memory: 8198 grad_norm: 7.4158 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9445 loss: 0.9445 2022/08/03 23:42:29 - mmengine - INFO - Epoch(train) [218][1440/1879] lr: 1.0000e-04 eta: 5:42:39 time: 0.2979 data_time: 0.0247 memory: 8198 grad_norm: 7.0254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/03 23:42:35 - mmengine - INFO - Epoch(train) [218][1460/1879] lr: 1.0000e-04 eta: 5:42:33 time: 0.2841 data_time: 0.0236 memory: 8198 grad_norm: 6.9322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7183 loss: 0.7183 2022/08/03 23:42:41 - mmengine - INFO - Epoch(train) [218][1480/1879] lr: 1.0000e-04 eta: 5:42:27 time: 0.2940 data_time: 0.0256 memory: 8198 grad_norm: 7.0548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/08/03 23:42:47 - mmengine - INFO - Epoch(train) [218][1500/1879] lr: 1.0000e-04 eta: 5:42:21 time: 0.2857 data_time: 0.0194 memory: 8198 grad_norm: 7.3820 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/03 23:42:53 - mmengine - INFO - Epoch(train) [218][1520/1879] lr: 1.0000e-04 eta: 5:42:16 time: 0.2855 data_time: 0.0176 memory: 8198 grad_norm: 6.9784 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8489 loss: 0.8489 2022/08/03 23:42:58 - mmengine - INFO - Epoch(train) [218][1540/1879] lr: 1.0000e-04 eta: 5:42:10 time: 0.2877 data_time: 0.0233 memory: 8198 grad_norm: 7.1300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9558 loss: 0.9558 2022/08/03 23:43:04 - mmengine - INFO - Epoch(train) [218][1560/1879] lr: 1.0000e-04 eta: 5:42:04 time: 0.2847 data_time: 0.0210 memory: 8198 grad_norm: 7.1035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/08/03 23:43:10 - mmengine - INFO - Epoch(train) [218][1580/1879] lr: 1.0000e-04 eta: 5:41:59 time: 0.2868 data_time: 0.0218 memory: 8198 grad_norm: 7.2439 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0852 loss: 1.0852 2022/08/03 23:43:16 - mmengine - INFO - Epoch(train) [218][1600/1879] lr: 1.0000e-04 eta: 5:41:53 time: 0.2840 data_time: 0.0221 memory: 8198 grad_norm: 7.2233 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9025 loss: 0.9025 2022/08/03 23:43:21 - mmengine - INFO - Epoch(train) [218][1620/1879] lr: 1.0000e-04 eta: 5:41:47 time: 0.2956 data_time: 0.0281 memory: 8198 grad_norm: 7.3522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9046 loss: 0.9046 2022/08/03 23:43:27 - mmengine - INFO - Epoch(train) [218][1640/1879] lr: 1.0000e-04 eta: 5:41:41 time: 0.2858 data_time: 0.0202 memory: 8198 grad_norm: 7.2490 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8776 loss: 0.8776 2022/08/03 23:43:33 - mmengine - INFO - Epoch(train) [218][1660/1879] lr: 1.0000e-04 eta: 5:41:36 time: 0.2870 data_time: 0.0224 memory: 8198 grad_norm: 7.1475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8779 loss: 0.8779 2022/08/03 23:43:39 - mmengine - INFO - Epoch(train) [218][1680/1879] lr: 1.0000e-04 eta: 5:41:30 time: 0.2901 data_time: 0.0230 memory: 8198 grad_norm: 7.0057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/08/03 23:43:45 - mmengine - INFO - Epoch(train) [218][1700/1879] lr: 1.0000e-04 eta: 5:41:24 time: 0.2861 data_time: 0.0222 memory: 8198 grad_norm: 7.4213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1081 loss: 1.1081 2022/08/03 23:43:50 - mmengine - INFO - Epoch(train) [218][1720/1879] lr: 1.0000e-04 eta: 5:41:18 time: 0.2883 data_time: 0.0202 memory: 8198 grad_norm: 7.3372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9393 loss: 0.9393 2022/08/03 23:43:56 - mmengine - INFO - Epoch(train) [218][1740/1879] lr: 1.0000e-04 eta: 5:41:13 time: 0.2857 data_time: 0.0225 memory: 8198 grad_norm: 7.2069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0273 loss: 1.0273 2022/08/03 23:44:02 - mmengine - INFO - Epoch(train) [218][1760/1879] lr: 1.0000e-04 eta: 5:41:07 time: 0.2848 data_time: 0.0243 memory: 8198 grad_norm: 7.4051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9550 loss: 0.9550 2022/08/03 23:44:08 - mmengine - INFO - Epoch(train) [218][1780/1879] lr: 1.0000e-04 eta: 5:41:01 time: 0.2920 data_time: 0.0220 memory: 8198 grad_norm: 7.1231 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9293 loss: 0.9293 2022/08/03 23:44:13 - mmengine - INFO - Epoch(train) [218][1800/1879] lr: 1.0000e-04 eta: 5:40:56 time: 0.2868 data_time: 0.0218 memory: 8198 grad_norm: 7.4880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/08/03 23:44:19 - mmengine - INFO - Epoch(train) [218][1820/1879] lr: 1.0000e-04 eta: 5:40:50 time: 0.2927 data_time: 0.0292 memory: 8198 grad_norm: 7.1204 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8348 loss: 0.8348 2022/08/03 23:44:25 - mmengine - INFO - Epoch(train) [218][1840/1879] lr: 1.0000e-04 eta: 5:40:44 time: 0.2875 data_time: 0.0226 memory: 8198 grad_norm: 7.4354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8745 loss: 0.8745 2022/08/03 23:44:31 - mmengine - INFO - Epoch(train) [218][1860/1879] lr: 1.0000e-04 eta: 5:40:39 time: 0.3036 data_time: 0.0186 memory: 8198 grad_norm: 7.2026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0810 loss: 1.0810 2022/08/03 23:44:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:44:36 - mmengine - INFO - Epoch(train) [218][1879/1879] lr: 1.0000e-04 eta: 5:40:39 time: 0.2611 data_time: 0.0172 memory: 8198 grad_norm: 7.4448 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8854 loss: 0.8854 2022/08/03 23:44:45 - mmengine - INFO - Epoch(train) [219][20/1879] lr: 1.0000e-04 eta: 5:40:27 time: 0.4280 data_time: 0.1112 memory: 8198 grad_norm: 7.0839 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9588 loss: 0.9588 2022/08/03 23:44:51 - mmengine - INFO - Epoch(train) [219][40/1879] lr: 1.0000e-04 eta: 5:40:21 time: 0.2873 data_time: 0.0198 memory: 8198 grad_norm: 7.1336 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9169 loss: 0.9169 2022/08/03 23:44:56 - mmengine - INFO - Epoch(train) [219][60/1879] lr: 1.0000e-04 eta: 5:40:15 time: 0.2913 data_time: 0.0231 memory: 8198 grad_norm: 7.1743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8999 loss: 0.8999 2022/08/03 23:45:02 - mmengine - INFO - Epoch(train) [219][80/1879] lr: 1.0000e-04 eta: 5:40:10 time: 0.2882 data_time: 0.0230 memory: 8198 grad_norm: 7.3657 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0338 loss: 1.0338 2022/08/03 23:45:08 - mmengine - INFO - Epoch(train) [219][100/1879] lr: 1.0000e-04 eta: 5:40:04 time: 0.2886 data_time: 0.0267 memory: 8198 grad_norm: 7.0583 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/08/03 23:45:14 - mmengine - INFO - Epoch(train) [219][120/1879] lr: 1.0000e-04 eta: 5:39:58 time: 0.2891 data_time: 0.0242 memory: 8198 grad_norm: 7.2036 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8577 loss: 0.8577 2022/08/03 23:45:20 - mmengine - INFO - Epoch(train) [219][140/1879] lr: 1.0000e-04 eta: 5:39:53 time: 0.2878 data_time: 0.0244 memory: 8198 grad_norm: 7.4604 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8133 loss: 0.8133 2022/08/03 23:45:25 - mmengine - INFO - Epoch(train) [219][160/1879] lr: 1.0000e-04 eta: 5:39:47 time: 0.2848 data_time: 0.0231 memory: 8198 grad_norm: 7.1450 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7590 loss: 0.7590 2022/08/03 23:45:31 - mmengine - INFO - Epoch(train) [219][180/1879] lr: 1.0000e-04 eta: 5:39:41 time: 0.2838 data_time: 0.0184 memory: 8198 grad_norm: 7.3407 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1035 loss: 1.1035 2022/08/03 23:45:37 - mmengine - INFO - Epoch(train) [219][200/1879] lr: 1.0000e-04 eta: 5:39:35 time: 0.2989 data_time: 0.0231 memory: 8198 grad_norm: 7.2579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9535 loss: 0.9535 2022/08/03 23:45:43 - mmengine - INFO - Epoch(train) [219][220/1879] lr: 1.0000e-04 eta: 5:39:30 time: 0.2848 data_time: 0.0223 memory: 8198 grad_norm: 7.2728 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8448 loss: 0.8448 2022/08/03 23:45:49 - mmengine - INFO - Epoch(train) [219][240/1879] lr: 1.0000e-04 eta: 5:39:24 time: 0.2859 data_time: 0.0195 memory: 8198 grad_norm: 7.7170 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1391 loss: 1.1391 2022/08/03 23:45:54 - mmengine - INFO - Epoch(train) [219][260/1879] lr: 1.0000e-04 eta: 5:39:18 time: 0.2872 data_time: 0.0220 memory: 8198 grad_norm: 7.2135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7464 loss: 0.7464 2022/08/03 23:46:00 - mmengine - INFO - Epoch(train) [219][280/1879] lr: 1.0000e-04 eta: 5:39:13 time: 0.3009 data_time: 0.0259 memory: 8198 grad_norm: 7.2303 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7773 loss: 0.7773 2022/08/03 23:46:06 - mmengine - INFO - Epoch(train) [219][300/1879] lr: 1.0000e-04 eta: 5:39:07 time: 0.2846 data_time: 0.0266 memory: 8198 grad_norm: 7.3231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8095 loss: 0.8095 2022/08/03 23:46:12 - mmengine - INFO - Epoch(train) [219][320/1879] lr: 1.0000e-04 eta: 5:39:01 time: 0.2844 data_time: 0.0233 memory: 8198 grad_norm: 7.3062 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8269 loss: 0.8269 2022/08/03 23:46:18 - mmengine - INFO - Epoch(train) [219][340/1879] lr: 1.0000e-04 eta: 5:38:56 time: 0.3029 data_time: 0.0218 memory: 8198 grad_norm: 7.2519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/08/03 23:46:24 - mmengine - INFO - Epoch(train) [219][360/1879] lr: 1.0000e-04 eta: 5:38:50 time: 0.2857 data_time: 0.0250 memory: 8198 grad_norm: 7.3064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8196 loss: 0.8196 2022/08/03 23:46:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:46:29 - mmengine - INFO - Epoch(train) [219][380/1879] lr: 1.0000e-04 eta: 5:38:44 time: 0.2825 data_time: 0.0213 memory: 8198 grad_norm: 7.3398 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8144 loss: 0.8144 2022/08/03 23:46:35 - mmengine - INFO - Epoch(train) [219][400/1879] lr: 1.0000e-04 eta: 5:38:38 time: 0.2856 data_time: 0.0219 memory: 8198 grad_norm: 7.1868 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/08/03 23:46:41 - mmengine - INFO - Epoch(train) [219][420/1879] lr: 1.0000e-04 eta: 5:38:33 time: 0.2912 data_time: 0.0210 memory: 8198 grad_norm: 7.1848 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9894 loss: 0.9894 2022/08/03 23:46:47 - mmengine - INFO - Epoch(train) [219][440/1879] lr: 1.0000e-04 eta: 5:38:27 time: 0.2921 data_time: 0.0171 memory: 8198 grad_norm: 7.2464 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9824 loss: 0.9824 2022/08/03 23:46:53 - mmengine - INFO - Epoch(train) [219][460/1879] lr: 1.0000e-04 eta: 5:38:21 time: 0.2829 data_time: 0.0218 memory: 8198 grad_norm: 7.0686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/03 23:46:59 - mmengine - INFO - Epoch(train) [219][480/1879] lr: 1.0000e-04 eta: 5:38:16 time: 0.3230 data_time: 0.0255 memory: 8198 grad_norm: 7.3996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/08/03 23:47:05 - mmengine - INFO - Epoch(train) [219][500/1879] lr: 1.0000e-04 eta: 5:38:10 time: 0.2856 data_time: 0.0238 memory: 8198 grad_norm: 6.9122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7752 loss: 0.7752 2022/08/03 23:47:10 - mmengine - INFO - Epoch(train) [219][520/1879] lr: 1.0000e-04 eta: 5:38:04 time: 0.2850 data_time: 0.0249 memory: 8198 grad_norm: 7.3357 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/08/03 23:47:16 - mmengine - INFO - Epoch(train) [219][540/1879] lr: 1.0000e-04 eta: 5:37:58 time: 0.2954 data_time: 0.0210 memory: 8198 grad_norm: 7.2547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1425 loss: 1.1425 2022/08/03 23:47:22 - mmengine - INFO - Epoch(train) [219][560/1879] lr: 1.0000e-04 eta: 5:37:53 time: 0.2854 data_time: 0.0189 memory: 8198 grad_norm: 7.0391 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0304 loss: 1.0304 2022/08/03 23:47:28 - mmengine - INFO - Epoch(train) [219][580/1879] lr: 1.0000e-04 eta: 5:37:47 time: 0.2893 data_time: 0.0195 memory: 8198 grad_norm: 7.3641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9432 loss: 0.9432 2022/08/03 23:47:34 - mmengine - INFO - Epoch(train) [219][600/1879] lr: 1.0000e-04 eta: 5:37:41 time: 0.3000 data_time: 0.0253 memory: 8198 grad_norm: 7.3165 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/08/03 23:47:40 - mmengine - INFO - Epoch(train) [219][620/1879] lr: 1.0000e-04 eta: 5:37:36 time: 0.2866 data_time: 0.0215 memory: 8198 grad_norm: 6.8949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7764 loss: 0.7764 2022/08/03 23:47:46 - mmengine - INFO - Epoch(train) [219][640/1879] lr: 1.0000e-04 eta: 5:37:30 time: 0.2868 data_time: 0.0242 memory: 8198 grad_norm: 7.3388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0921 loss: 1.0921 2022/08/03 23:47:51 - mmengine - INFO - Epoch(train) [219][660/1879] lr: 1.0000e-04 eta: 5:37:24 time: 0.2871 data_time: 0.0253 memory: 8198 grad_norm: 7.4395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0546 loss: 1.0546 2022/08/03 23:47:57 - mmengine - INFO - Epoch(train) [219][680/1879] lr: 1.0000e-04 eta: 5:37:18 time: 0.2874 data_time: 0.0238 memory: 8198 grad_norm: 7.1404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9912 loss: 0.9912 2022/08/03 23:48:03 - mmengine - INFO - Epoch(train) [219][700/1879] lr: 1.0000e-04 eta: 5:37:13 time: 0.2858 data_time: 0.0268 memory: 8198 grad_norm: 7.3559 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0445 loss: 1.0445 2022/08/03 23:48:09 - mmengine - INFO - Epoch(train) [219][720/1879] lr: 1.0000e-04 eta: 5:37:07 time: 0.2871 data_time: 0.0250 memory: 8198 grad_norm: 7.4853 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9529 loss: 0.9529 2022/08/03 23:48:14 - mmengine - INFO - Epoch(train) [219][740/1879] lr: 1.0000e-04 eta: 5:37:01 time: 0.2886 data_time: 0.0232 memory: 8198 grad_norm: 7.2215 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9878 loss: 0.9878 2022/08/03 23:48:20 - mmengine - INFO - Epoch(train) [219][760/1879] lr: 1.0000e-04 eta: 5:36:56 time: 0.2903 data_time: 0.0194 memory: 8198 grad_norm: 7.3514 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8443 loss: 0.8443 2022/08/03 23:48:26 - mmengine - INFO - Epoch(train) [219][780/1879] lr: 1.0000e-04 eta: 5:36:50 time: 0.2872 data_time: 0.0231 memory: 8198 grad_norm: 7.1606 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9101 loss: 0.9101 2022/08/03 23:48:32 - mmengine - INFO - Epoch(train) [219][800/1879] lr: 1.0000e-04 eta: 5:36:44 time: 0.2924 data_time: 0.0265 memory: 8198 grad_norm: 7.3869 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1566 loss: 1.1566 2022/08/03 23:48:38 - mmengine - INFO - Epoch(train) [219][820/1879] lr: 1.0000e-04 eta: 5:36:38 time: 0.2926 data_time: 0.0245 memory: 8198 grad_norm: 7.4316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0469 loss: 1.0469 2022/08/03 23:48:44 - mmengine - INFO - Epoch(train) [219][840/1879] lr: 1.0000e-04 eta: 5:36:33 time: 0.2958 data_time: 0.0224 memory: 8198 grad_norm: 7.3803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9188 loss: 0.9188 2022/08/03 23:48:49 - mmengine - INFO - Epoch(train) [219][860/1879] lr: 1.0000e-04 eta: 5:36:27 time: 0.2837 data_time: 0.0195 memory: 8198 grad_norm: 7.5088 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/03 23:48:55 - mmengine - INFO - Epoch(train) [219][880/1879] lr: 1.0000e-04 eta: 5:36:21 time: 0.2889 data_time: 0.0205 memory: 8198 grad_norm: 7.7162 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0949 loss: 1.0949 2022/08/03 23:49:01 - mmengine - INFO - Epoch(train) [219][900/1879] lr: 1.0000e-04 eta: 5:36:16 time: 0.2878 data_time: 0.0189 memory: 8198 grad_norm: 7.1983 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7517 loss: 0.7517 2022/08/03 23:49:07 - mmengine - INFO - Epoch(train) [219][920/1879] lr: 1.0000e-04 eta: 5:36:10 time: 0.2853 data_time: 0.0201 memory: 8198 grad_norm: 7.2352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8195 loss: 0.8195 2022/08/03 23:49:12 - mmengine - INFO - Epoch(train) [219][940/1879] lr: 1.0000e-04 eta: 5:36:04 time: 0.2844 data_time: 0.0213 memory: 8198 grad_norm: 7.1384 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7969 loss: 0.7969 2022/08/03 23:49:18 - mmengine - INFO - Epoch(train) [219][960/1879] lr: 1.0000e-04 eta: 5:35:58 time: 0.2923 data_time: 0.0247 memory: 8198 grad_norm: 7.0452 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8729 loss: 0.8729 2022/08/03 23:49:24 - mmengine - INFO - Epoch(train) [219][980/1879] lr: 1.0000e-04 eta: 5:35:53 time: 0.2861 data_time: 0.0231 memory: 8198 grad_norm: 7.3993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9617 loss: 0.9617 2022/08/03 23:49:30 - mmengine - INFO - Epoch(train) [219][1000/1879] lr: 1.0000e-04 eta: 5:35:47 time: 0.2862 data_time: 0.0258 memory: 8198 grad_norm: 7.2297 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8820 loss: 0.8820 2022/08/03 23:49:36 - mmengine - INFO - Epoch(train) [219][1020/1879] lr: 1.0000e-04 eta: 5:35:41 time: 0.2877 data_time: 0.0226 memory: 8198 grad_norm: 7.2563 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9563 loss: 0.9563 2022/08/03 23:49:41 - mmengine - INFO - Epoch(train) [219][1040/1879] lr: 1.0000e-04 eta: 5:35:36 time: 0.2880 data_time: 0.0224 memory: 8198 grad_norm: 7.0620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8737 loss: 0.8737 2022/08/03 23:49:47 - mmengine - INFO - Epoch(train) [219][1060/1879] lr: 1.0000e-04 eta: 5:35:30 time: 0.2941 data_time: 0.0249 memory: 8198 grad_norm: 7.2554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7145 loss: 0.7145 2022/08/03 23:49:53 - mmengine - INFO - Epoch(train) [219][1080/1879] lr: 1.0000e-04 eta: 5:35:24 time: 0.2864 data_time: 0.0202 memory: 8198 grad_norm: 7.1055 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8773 loss: 0.8773 2022/08/03 23:49:59 - mmengine - INFO - Epoch(train) [219][1100/1879] lr: 1.0000e-04 eta: 5:35:18 time: 0.2868 data_time: 0.0227 memory: 8198 grad_norm: 7.5570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9661 loss: 0.9661 2022/08/03 23:50:05 - mmengine - INFO - Epoch(train) [219][1120/1879] lr: 1.0000e-04 eta: 5:35:13 time: 0.2915 data_time: 0.0225 memory: 8198 grad_norm: 7.0431 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0562 loss: 1.0562 2022/08/03 23:50:11 - mmengine - INFO - Epoch(train) [219][1140/1879] lr: 1.0000e-04 eta: 5:35:07 time: 0.2939 data_time: 0.0311 memory: 8198 grad_norm: 7.3073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/08/03 23:50:16 - mmengine - INFO - Epoch(train) [219][1160/1879] lr: 1.0000e-04 eta: 5:35:01 time: 0.2878 data_time: 0.0285 memory: 8198 grad_norm: 7.2963 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0748 loss: 1.0748 2022/08/03 23:50:22 - mmengine - INFO - Epoch(train) [219][1180/1879] lr: 1.0000e-04 eta: 5:34:56 time: 0.2876 data_time: 0.0173 memory: 8198 grad_norm: 7.3331 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0448 loss: 1.0448 2022/08/03 23:50:28 - mmengine - INFO - Epoch(train) [219][1200/1879] lr: 1.0000e-04 eta: 5:34:50 time: 0.2910 data_time: 0.0222 memory: 8198 grad_norm: 7.5321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1434 loss: 1.1434 2022/08/03 23:50:34 - mmengine - INFO - Epoch(train) [219][1220/1879] lr: 1.0000e-04 eta: 5:34:44 time: 0.2851 data_time: 0.0223 memory: 8198 grad_norm: 7.3215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9726 loss: 0.9726 2022/08/03 23:50:40 - mmengine - INFO - Epoch(train) [219][1240/1879] lr: 1.0000e-04 eta: 5:34:38 time: 0.2874 data_time: 0.0239 memory: 8198 grad_norm: 7.4982 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9596 loss: 0.9596 2022/08/03 23:50:46 - mmengine - INFO - Epoch(train) [219][1260/1879] lr: 1.0000e-04 eta: 5:34:33 time: 0.3010 data_time: 0.0243 memory: 8198 grad_norm: 7.2626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/08/03 23:50:51 - mmengine - INFO - Epoch(train) [219][1280/1879] lr: 1.0000e-04 eta: 5:34:27 time: 0.2846 data_time: 0.0187 memory: 8198 grad_norm: 7.0267 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/03 23:50:57 - mmengine - INFO - Epoch(train) [219][1300/1879] lr: 1.0000e-04 eta: 5:34:21 time: 0.2862 data_time: 0.0251 memory: 8198 grad_norm: 7.1539 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9326 loss: 0.9326 2022/08/03 23:51:03 - mmengine - INFO - Epoch(train) [219][1320/1879] lr: 1.0000e-04 eta: 5:34:16 time: 0.2849 data_time: 0.0212 memory: 8198 grad_norm: 7.1151 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0552 loss: 1.0552 2022/08/03 23:51:09 - mmengine - INFO - Epoch(train) [219][1340/1879] lr: 1.0000e-04 eta: 5:34:10 time: 0.2850 data_time: 0.0203 memory: 8198 grad_norm: 7.3823 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0835 loss: 1.0835 2022/08/03 23:51:14 - mmengine - INFO - Epoch(train) [219][1360/1879] lr: 1.0000e-04 eta: 5:34:04 time: 0.2859 data_time: 0.0247 memory: 8198 grad_norm: 7.1236 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8443 loss: 0.8443 2022/08/03 23:51:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:51:20 - mmengine - INFO - Epoch(train) [219][1380/1879] lr: 1.0000e-04 eta: 5:33:58 time: 0.2904 data_time: 0.0247 memory: 8198 grad_norm: 7.2890 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8919 loss: 0.8919 2022/08/03 23:51:26 - mmengine - INFO - Epoch(train) [219][1400/1879] lr: 1.0000e-04 eta: 5:33:53 time: 0.2876 data_time: 0.0264 memory: 8198 grad_norm: 7.1789 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9452 loss: 0.9452 2022/08/03 23:51:32 - mmengine - INFO - Epoch(train) [219][1420/1879] lr: 1.0000e-04 eta: 5:33:47 time: 0.2884 data_time: 0.0232 memory: 8198 grad_norm: 7.3476 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9520 loss: 0.9520 2022/08/03 23:51:37 - mmengine - INFO - Epoch(train) [219][1440/1879] lr: 1.0000e-04 eta: 5:33:41 time: 0.2852 data_time: 0.0236 memory: 8198 grad_norm: 7.2049 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9454 loss: 0.9454 2022/08/03 23:51:43 - mmengine - INFO - Epoch(train) [219][1460/1879] lr: 1.0000e-04 eta: 5:33:36 time: 0.2880 data_time: 0.0189 memory: 8198 grad_norm: 7.1239 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8441 loss: 0.8441 2022/08/03 23:51:49 - mmengine - INFO - Epoch(train) [219][1480/1879] lr: 1.0000e-04 eta: 5:33:30 time: 0.2900 data_time: 0.0264 memory: 8198 grad_norm: 7.2548 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/08/03 23:51:55 - mmengine - INFO - Epoch(train) [219][1500/1879] lr: 1.0000e-04 eta: 5:33:24 time: 0.2849 data_time: 0.0208 memory: 8198 grad_norm: 7.3279 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0560 loss: 1.0560 2022/08/03 23:52:01 - mmengine - INFO - Epoch(train) [219][1520/1879] lr: 1.0000e-04 eta: 5:33:18 time: 0.2898 data_time: 0.0198 memory: 8198 grad_norm: 7.0080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8946 loss: 0.8946 2022/08/03 23:52:07 - mmengine - INFO - Epoch(train) [219][1540/1879] lr: 1.0000e-04 eta: 5:33:13 time: 0.2924 data_time: 0.0278 memory: 8198 grad_norm: 7.0199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9888 loss: 0.9888 2022/08/03 23:52:12 - mmengine - INFO - Epoch(train) [219][1560/1879] lr: 1.0000e-04 eta: 5:33:07 time: 0.2860 data_time: 0.0231 memory: 8198 grad_norm: 7.2379 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0239 loss: 1.0239 2022/08/03 23:52:18 - mmengine - INFO - Epoch(train) [219][1580/1879] lr: 1.0000e-04 eta: 5:33:01 time: 0.2891 data_time: 0.0232 memory: 8198 grad_norm: 7.1321 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7677 loss: 0.7677 2022/08/03 23:52:24 - mmengine - INFO - Epoch(train) [219][1600/1879] lr: 1.0000e-04 eta: 5:32:56 time: 0.2852 data_time: 0.0221 memory: 8198 grad_norm: 7.3403 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0273 loss: 1.0273 2022/08/03 23:52:30 - mmengine - INFO - Epoch(train) [219][1620/1879] lr: 1.0000e-04 eta: 5:32:50 time: 0.2867 data_time: 0.0200 memory: 8198 grad_norm: 7.2615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0396 loss: 1.0396 2022/08/03 23:52:35 - mmengine - INFO - Epoch(train) [219][1640/1879] lr: 1.0000e-04 eta: 5:32:44 time: 0.2846 data_time: 0.0221 memory: 8198 grad_norm: 7.2270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/08/03 23:52:41 - mmengine - INFO - Epoch(train) [219][1660/1879] lr: 1.0000e-04 eta: 5:32:38 time: 0.2870 data_time: 0.0201 memory: 8198 grad_norm: 7.4359 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0922 loss: 1.0922 2022/08/03 23:52:47 - mmengine - INFO - Epoch(train) [219][1680/1879] lr: 1.0000e-04 eta: 5:32:33 time: 0.3052 data_time: 0.0223 memory: 8198 grad_norm: 7.3135 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9065 loss: 0.9065 2022/08/03 23:52:53 - mmengine - INFO - Epoch(train) [219][1700/1879] lr: 1.0000e-04 eta: 5:32:27 time: 0.2811 data_time: 0.0194 memory: 8198 grad_norm: 7.3126 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/03 23:52:59 - mmengine - INFO - Epoch(train) [219][1720/1879] lr: 1.0000e-04 eta: 5:32:21 time: 0.2913 data_time: 0.0271 memory: 8198 grad_norm: 6.8772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/03 23:53:04 - mmengine - INFO - Epoch(train) [219][1740/1879] lr: 1.0000e-04 eta: 5:32:16 time: 0.2859 data_time: 0.0233 memory: 8198 grad_norm: 7.0898 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9772 loss: 0.9772 2022/08/03 23:53:10 - mmengine - INFO - Epoch(train) [219][1760/1879] lr: 1.0000e-04 eta: 5:32:10 time: 0.2870 data_time: 0.0228 memory: 8198 grad_norm: 7.4479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9582 loss: 0.9582 2022/08/03 23:53:16 - mmengine - INFO - Epoch(train) [219][1780/1879] lr: 1.0000e-04 eta: 5:32:04 time: 0.2857 data_time: 0.0226 memory: 8198 grad_norm: 7.1357 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9743 loss: 0.9743 2022/08/03 23:53:22 - mmengine - INFO - Epoch(train) [219][1800/1879] lr: 1.0000e-04 eta: 5:31:58 time: 0.3131 data_time: 0.0215 memory: 8198 grad_norm: 7.1832 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9614 loss: 0.9614 2022/08/03 23:53:28 - mmengine - INFO - Epoch(train) [219][1820/1879] lr: 1.0000e-04 eta: 5:31:53 time: 0.2844 data_time: 0.0227 memory: 8198 grad_norm: 7.3044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7692 loss: 0.7692 2022/08/03 23:53:34 - mmengine - INFO - Epoch(train) [219][1840/1879] lr: 1.0000e-04 eta: 5:31:47 time: 0.2864 data_time: 0.0210 memory: 8198 grad_norm: 7.2689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8781 loss: 0.8781 2022/08/03 23:53:40 - mmengine - INFO - Epoch(train) [219][1860/1879] lr: 1.0000e-04 eta: 5:31:41 time: 0.3133 data_time: 0.0250 memory: 8198 grad_norm: 7.2620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9602 loss: 0.9602 2022/08/03 23:53:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:53:45 - mmengine - INFO - Epoch(train) [219][1879/1879] lr: 1.0000e-04 eta: 5:31:41 time: 0.2600 data_time: 0.0175 memory: 8198 grad_norm: 7.7452 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8748 loss: 0.8748 2022/08/03 23:53:53 - mmengine - INFO - Epoch(train) [220][20/1879] lr: 1.0000e-04 eta: 5:31:30 time: 0.4150 data_time: 0.1133 memory: 8198 grad_norm: 7.3843 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0382 loss: 1.0382 2022/08/03 23:53:59 - mmengine - INFO - Epoch(train) [220][40/1879] lr: 1.0000e-04 eta: 5:31:24 time: 0.3055 data_time: 0.0236 memory: 8198 grad_norm: 7.1964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/08/03 23:54:05 - mmengine - INFO - Epoch(train) [220][60/1879] lr: 1.0000e-04 eta: 5:31:18 time: 0.2871 data_time: 0.0192 memory: 8198 grad_norm: 7.3855 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7649 loss: 0.7649 2022/08/03 23:54:11 - mmengine - INFO - Epoch(train) [220][80/1879] lr: 1.0000e-04 eta: 5:31:13 time: 0.2862 data_time: 0.0230 memory: 8198 grad_norm: 7.2712 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9455 loss: 0.9455 2022/08/03 23:54:17 - mmengine - INFO - Epoch(train) [220][100/1879] lr: 1.0000e-04 eta: 5:31:07 time: 0.2889 data_time: 0.0192 memory: 8198 grad_norm: 7.1715 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8512 loss: 0.8512 2022/08/03 23:54:23 - mmengine - INFO - Epoch(train) [220][120/1879] lr: 1.0000e-04 eta: 5:31:01 time: 0.2871 data_time: 0.0221 memory: 8198 grad_norm: 7.2573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8995 loss: 0.8995 2022/08/03 23:54:28 - mmengine - INFO - Epoch(train) [220][140/1879] lr: 1.0000e-04 eta: 5:30:55 time: 0.2868 data_time: 0.0200 memory: 8198 grad_norm: 7.2667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0484 loss: 1.0484 2022/08/03 23:54:34 - mmengine - INFO - Epoch(train) [220][160/1879] lr: 1.0000e-04 eta: 5:30:50 time: 0.2854 data_time: 0.0226 memory: 8198 grad_norm: 7.0515 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/08/03 23:54:40 - mmengine - INFO - Epoch(train) [220][180/1879] lr: 1.0000e-04 eta: 5:30:44 time: 0.3044 data_time: 0.0214 memory: 8198 grad_norm: 7.0364 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8401 loss: 0.8401 2022/08/03 23:54:46 - mmengine - INFO - Epoch(train) [220][200/1879] lr: 1.0000e-04 eta: 5:30:38 time: 0.2831 data_time: 0.0197 memory: 8198 grad_norm: 7.1338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9161 loss: 0.9161 2022/08/03 23:54:52 - mmengine - INFO - Epoch(train) [220][220/1879] lr: 1.0000e-04 eta: 5:30:33 time: 0.2859 data_time: 0.0204 memory: 8198 grad_norm: 7.3860 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9191 loss: 0.9191 2022/08/03 23:54:58 - mmengine - INFO - Epoch(train) [220][240/1879] lr: 1.0000e-04 eta: 5:30:27 time: 0.3030 data_time: 0.0270 memory: 8198 grad_norm: 7.2434 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9796 loss: 0.9796 2022/08/03 23:55:03 - mmengine - INFO - Epoch(train) [220][260/1879] lr: 1.0000e-04 eta: 5:30:21 time: 0.2828 data_time: 0.0228 memory: 8198 grad_norm: 7.1582 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0192 loss: 1.0192 2022/08/03 23:55:09 - mmengine - INFO - Epoch(train) [220][280/1879] lr: 1.0000e-04 eta: 5:30:15 time: 0.2853 data_time: 0.0177 memory: 8198 grad_norm: 7.3527 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1393 loss: 1.1393 2022/08/03 23:55:15 - mmengine - INFO - Epoch(train) [220][300/1879] lr: 1.0000e-04 eta: 5:30:10 time: 0.2872 data_time: 0.0214 memory: 8198 grad_norm: 7.3103 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/08/03 23:55:21 - mmengine - INFO - Epoch(train) [220][320/1879] lr: 1.0000e-04 eta: 5:30:04 time: 0.2972 data_time: 0.0214 memory: 8198 grad_norm: 7.2553 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8873 loss: 0.8873 2022/08/03 23:55:27 - mmengine - INFO - Epoch(train) [220][340/1879] lr: 1.0000e-04 eta: 5:29:58 time: 0.2852 data_time: 0.0210 memory: 8198 grad_norm: 7.2520 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/08/03 23:55:32 - mmengine - INFO - Epoch(train) [220][360/1879] lr: 1.0000e-04 eta: 5:29:53 time: 0.2867 data_time: 0.0241 memory: 8198 grad_norm: 7.5246 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0165 loss: 1.0165 2022/08/03 23:55:38 - mmengine - INFO - Epoch(train) [220][380/1879] lr: 1.0000e-04 eta: 5:29:47 time: 0.2883 data_time: 0.0228 memory: 8198 grad_norm: 6.8725 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1164 loss: 1.1164 2022/08/03 23:55:44 - mmengine - INFO - Epoch(train) [220][400/1879] lr: 1.0000e-04 eta: 5:29:41 time: 0.2854 data_time: 0.0219 memory: 8198 grad_norm: 7.2740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9516 loss: 0.9516 2022/08/03 23:55:50 - mmengine - INFO - Epoch(train) [220][420/1879] lr: 1.0000e-04 eta: 5:29:35 time: 0.2908 data_time: 0.0218 memory: 8198 grad_norm: 7.1649 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9726 loss: 0.9726 2022/08/03 23:55:55 - mmengine - INFO - Epoch(train) [220][440/1879] lr: 1.0000e-04 eta: 5:29:30 time: 0.2827 data_time: 0.0221 memory: 8198 grad_norm: 7.0487 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9734 loss: 0.9734 2022/08/03 23:56:02 - mmengine - INFO - Epoch(train) [220][460/1879] lr: 1.0000e-04 eta: 5:29:24 time: 0.2999 data_time: 0.0198 memory: 8198 grad_norm: 7.1314 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8301 loss: 0.8301 2022/08/03 23:56:07 - mmengine - INFO - Epoch(train) [220][480/1879] lr: 1.0000e-04 eta: 5:29:18 time: 0.2936 data_time: 0.0296 memory: 8198 grad_norm: 7.3874 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/08/03 23:56:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/03 23:56:13 - mmengine - INFO - Epoch(train) [220][500/1879] lr: 1.0000e-04 eta: 5:29:13 time: 0.2841 data_time: 0.0223 memory: 8198 grad_norm: 7.2460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0058 loss: 1.0058 2022/08/03 23:56:19 - mmengine - INFO - Epoch(train) [220][520/1879] lr: 1.0000e-04 eta: 5:29:07 time: 0.2979 data_time: 0.0355 memory: 8198 grad_norm: 7.4264 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8853 loss: 0.8853 2022/08/03 23:56:25 - mmengine - INFO - Epoch(train) [220][540/1879] lr: 1.0000e-04 eta: 5:29:01 time: 0.2870 data_time: 0.0250 memory: 8198 grad_norm: 7.1442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/08/03 23:56:31 - mmengine - INFO - Epoch(train) [220][560/1879] lr: 1.0000e-04 eta: 5:28:56 time: 0.2910 data_time: 0.0214 memory: 8198 grad_norm: 6.9547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9262 loss: 0.9262 2022/08/03 23:56:36 - mmengine - INFO - Epoch(train) [220][580/1879] lr: 1.0000e-04 eta: 5:28:50 time: 0.2863 data_time: 0.0226 memory: 8198 grad_norm: 7.2981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9899 loss: 0.9899 2022/08/03 23:56:42 - mmengine - INFO - Epoch(train) [220][600/1879] lr: 1.0000e-04 eta: 5:28:44 time: 0.2894 data_time: 0.0205 memory: 8198 grad_norm: 7.2613 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8965 loss: 0.8965 2022/08/03 23:56:48 - mmengine - INFO - Epoch(train) [220][620/1879] lr: 1.0000e-04 eta: 5:28:38 time: 0.3039 data_time: 0.0280 memory: 8198 grad_norm: 7.3324 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1054 loss: 1.1054 2022/08/03 23:56:54 - mmengine - INFO - Epoch(train) [220][640/1879] lr: 1.0000e-04 eta: 5:28:33 time: 0.2839 data_time: 0.0222 memory: 8198 grad_norm: 7.0660 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9089 loss: 0.9089 2022/08/03 23:57:00 - mmengine - INFO - Epoch(train) [220][660/1879] lr: 1.0000e-04 eta: 5:28:27 time: 0.2904 data_time: 0.0204 memory: 8198 grad_norm: 7.0480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1360 loss: 1.1360 2022/08/03 23:57:06 - mmengine - INFO - Epoch(train) [220][680/1879] lr: 1.0000e-04 eta: 5:28:21 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 7.1815 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8247 loss: 0.8247 2022/08/03 23:57:12 - mmengine - INFO - Epoch(train) [220][700/1879] lr: 1.0000e-04 eta: 5:28:16 time: 0.2894 data_time: 0.0254 memory: 8198 grad_norm: 7.3085 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/08/03 23:57:17 - mmengine - INFO - Epoch(train) [220][720/1879] lr: 1.0000e-04 eta: 5:28:10 time: 0.2883 data_time: 0.0251 memory: 8198 grad_norm: 7.5304 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9007 loss: 0.9007 2022/08/03 23:57:23 - mmengine - INFO - Epoch(train) [220][740/1879] lr: 1.0000e-04 eta: 5:28:04 time: 0.2857 data_time: 0.0215 memory: 8198 grad_norm: 7.3193 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9025 loss: 0.9025 2022/08/03 23:57:29 - mmengine - INFO - Epoch(train) [220][760/1879] lr: 1.0000e-04 eta: 5:27:58 time: 0.2871 data_time: 0.0204 memory: 8198 grad_norm: 7.2650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9365 loss: 0.9365 2022/08/03 23:57:35 - mmengine - INFO - Epoch(train) [220][780/1879] lr: 1.0000e-04 eta: 5:27:53 time: 0.2839 data_time: 0.0184 memory: 8198 grad_norm: 7.1288 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9077 loss: 0.9077 2022/08/03 23:57:40 - mmengine - INFO - Epoch(train) [220][800/1879] lr: 1.0000e-04 eta: 5:27:47 time: 0.2886 data_time: 0.0232 memory: 8198 grad_norm: 7.3516 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1047 loss: 1.1047 2022/08/03 23:57:46 - mmengine - INFO - Epoch(train) [220][820/1879] lr: 1.0000e-04 eta: 5:27:41 time: 0.2867 data_time: 0.0200 memory: 8198 grad_norm: 7.1836 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8903 loss: 0.8903 2022/08/03 23:57:52 - mmengine - INFO - Epoch(train) [220][840/1879] lr: 1.0000e-04 eta: 5:27:36 time: 0.2928 data_time: 0.0240 memory: 8198 grad_norm: 7.4065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9231 loss: 0.9231 2022/08/03 23:57:58 - mmengine - INFO - Epoch(train) [220][860/1879] lr: 1.0000e-04 eta: 5:27:30 time: 0.2854 data_time: 0.0201 memory: 8198 grad_norm: 7.2531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9931 loss: 0.9931 2022/08/03 23:58:04 - mmengine - INFO - Epoch(train) [220][880/1879] lr: 1.0000e-04 eta: 5:27:24 time: 0.2858 data_time: 0.0240 memory: 8198 grad_norm: 7.3660 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/08/03 23:58:09 - mmengine - INFO - Epoch(train) [220][900/1879] lr: 1.0000e-04 eta: 5:27:18 time: 0.2889 data_time: 0.0246 memory: 8198 grad_norm: 7.1785 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9527 loss: 0.9527 2022/08/03 23:58:15 - mmengine - INFO - Epoch(train) [220][920/1879] lr: 1.0000e-04 eta: 5:27:13 time: 0.2849 data_time: 0.0215 memory: 8198 grad_norm: 7.0306 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9130 loss: 0.9130 2022/08/03 23:58:21 - mmengine - INFO - Epoch(train) [220][940/1879] lr: 1.0000e-04 eta: 5:27:07 time: 0.2997 data_time: 0.0250 memory: 8198 grad_norm: 7.2281 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0070 loss: 1.0070 2022/08/03 23:58:27 - mmengine - INFO - Epoch(train) [220][960/1879] lr: 1.0000e-04 eta: 5:27:01 time: 0.2858 data_time: 0.0257 memory: 8198 grad_norm: 7.2490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7837 loss: 0.7837 2022/08/03 23:58:33 - mmengine - INFO - Epoch(train) [220][980/1879] lr: 1.0000e-04 eta: 5:26:56 time: 0.2943 data_time: 0.0212 memory: 8198 grad_norm: 7.1964 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/03 23:58:39 - mmengine - INFO - Epoch(train) [220][1000/1879] lr: 1.0000e-04 eta: 5:26:50 time: 0.2849 data_time: 0.0267 memory: 8198 grad_norm: 7.2889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9269 loss: 0.9269 2022/08/03 23:58:44 - mmengine - INFO - Epoch(train) [220][1020/1879] lr: 1.0000e-04 eta: 5:26:44 time: 0.2855 data_time: 0.0185 memory: 8198 grad_norm: 7.6081 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0091 loss: 1.0091 2022/08/03 23:58:50 - mmengine - INFO - Epoch(train) [220][1040/1879] lr: 1.0000e-04 eta: 5:26:38 time: 0.2890 data_time: 0.0212 memory: 8198 grad_norm: 7.4230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0310 loss: 1.0310 2022/08/03 23:58:56 - mmengine - INFO - Epoch(train) [220][1060/1879] lr: 1.0000e-04 eta: 5:26:33 time: 0.2901 data_time: 0.0239 memory: 8198 grad_norm: 7.2276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8859 loss: 0.8859 2022/08/03 23:59:02 - mmengine - INFO - Epoch(train) [220][1080/1879] lr: 1.0000e-04 eta: 5:26:27 time: 0.3046 data_time: 0.0203 memory: 8198 grad_norm: 7.3005 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8881 loss: 0.8881 2022/08/03 23:59:08 - mmengine - INFO - Epoch(train) [220][1100/1879] lr: 1.0000e-04 eta: 5:26:21 time: 0.2809 data_time: 0.0179 memory: 8198 grad_norm: 7.1445 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9014 loss: 0.9014 2022/08/03 23:59:13 - mmengine - INFO - Epoch(train) [220][1120/1879] lr: 1.0000e-04 eta: 5:26:16 time: 0.2882 data_time: 0.0251 memory: 8198 grad_norm: 7.2957 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7305 loss: 0.7305 2022/08/03 23:59:19 - mmengine - INFO - Epoch(train) [220][1140/1879] lr: 1.0000e-04 eta: 5:26:10 time: 0.2980 data_time: 0.0179 memory: 8198 grad_norm: 7.1576 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9269 loss: 0.9269 2022/08/03 23:59:25 - mmengine - INFO - Epoch(train) [220][1160/1879] lr: 1.0000e-04 eta: 5:26:04 time: 0.2843 data_time: 0.0216 memory: 8198 grad_norm: 7.1286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9107 loss: 0.9107 2022/08/03 23:59:31 - mmengine - INFO - Epoch(train) [220][1180/1879] lr: 1.0000e-04 eta: 5:25:58 time: 0.2875 data_time: 0.0233 memory: 8198 grad_norm: 7.1930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9931 loss: 0.9931 2022/08/03 23:59:37 - mmengine - INFO - Epoch(train) [220][1200/1879] lr: 1.0000e-04 eta: 5:25:53 time: 0.2904 data_time: 0.0234 memory: 8198 grad_norm: 7.3265 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9353 loss: 0.9353 2022/08/03 23:59:43 - mmengine - INFO - Epoch(train) [220][1220/1879] lr: 1.0000e-04 eta: 5:25:47 time: 0.2888 data_time: 0.0302 memory: 8198 grad_norm: 7.3326 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0880 loss: 1.0880 2022/08/03 23:59:48 - mmengine - INFO - Epoch(train) [220][1240/1879] lr: 1.0000e-04 eta: 5:25:41 time: 0.2899 data_time: 0.0214 memory: 8198 grad_norm: 7.0335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9547 loss: 0.9547 2022/08/03 23:59:54 - mmengine - INFO - Epoch(train) [220][1260/1879] lr: 1.0000e-04 eta: 5:25:36 time: 0.2832 data_time: 0.0245 memory: 8198 grad_norm: 7.3130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9824 loss: 0.9824 2022/08/04 00:00:00 - mmengine - INFO - Epoch(train) [220][1280/1879] lr: 1.0000e-04 eta: 5:25:30 time: 0.3024 data_time: 0.0210 memory: 8198 grad_norm: 7.0965 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9025 loss: 0.9025 2022/08/04 00:00:09 - mmengine - INFO - Epoch(train) [220][1300/1879] lr: 1.0000e-04 eta: 5:25:25 time: 0.4176 data_time: 0.0306 memory: 8198 grad_norm: 7.4525 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9135 loss: 0.9135 2022/08/04 00:00:14 - mmengine - INFO - Epoch(train) [220][1320/1879] lr: 1.0000e-04 eta: 5:25:19 time: 0.2889 data_time: 0.0259 memory: 8198 grad_norm: 7.2203 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9153 loss: 0.9153 2022/08/04 00:00:20 - mmengine - INFO - Epoch(train) [220][1340/1879] lr: 1.0000e-04 eta: 5:25:13 time: 0.2921 data_time: 0.0247 memory: 8198 grad_norm: 7.6198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0252 loss: 1.0252 2022/08/04 00:00:26 - mmengine - INFO - Epoch(train) [220][1360/1879] lr: 1.0000e-04 eta: 5:25:07 time: 0.2844 data_time: 0.0241 memory: 8198 grad_norm: 7.0973 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8434 loss: 0.8434 2022/08/04 00:00:32 - mmengine - INFO - Epoch(train) [220][1380/1879] lr: 1.0000e-04 eta: 5:25:02 time: 0.2847 data_time: 0.0180 memory: 8198 grad_norm: 7.3950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0473 loss: 1.0473 2022/08/04 00:00:37 - mmengine - INFO - Epoch(train) [220][1400/1879] lr: 1.0000e-04 eta: 5:24:56 time: 0.2873 data_time: 0.0251 memory: 8198 grad_norm: 7.3758 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9773 loss: 0.9773 2022/08/04 00:00:43 - mmengine - INFO - Epoch(train) [220][1420/1879] lr: 1.0000e-04 eta: 5:24:50 time: 0.2868 data_time: 0.0213 memory: 8198 grad_norm: 7.2499 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8975 loss: 0.8975 2022/08/04 00:00:49 - mmengine - INFO - Epoch(train) [220][1440/1879] lr: 1.0000e-04 eta: 5:24:45 time: 0.2877 data_time: 0.0235 memory: 8198 grad_norm: 7.3599 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/08/04 00:00:55 - mmengine - INFO - Epoch(train) [220][1460/1879] lr: 1.0000e-04 eta: 5:24:39 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 7.2552 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1492 loss: 1.1492 2022/08/04 00:01:01 - mmengine - INFO - Epoch(train) [220][1480/1879] lr: 1.0000e-04 eta: 5:24:33 time: 0.2913 data_time: 0.0260 memory: 8198 grad_norm: 7.2350 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/08/04 00:01:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:01:06 - mmengine - INFO - Epoch(train) [220][1500/1879] lr: 1.0000e-04 eta: 5:24:27 time: 0.2834 data_time: 0.0211 memory: 8198 grad_norm: 7.3043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/08/04 00:01:12 - mmengine - INFO - Epoch(train) [220][1520/1879] lr: 1.0000e-04 eta: 5:24:22 time: 0.2860 data_time: 0.0241 memory: 8198 grad_norm: 7.3645 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8457 loss: 0.8457 2022/08/04 00:01:18 - mmengine - INFO - Epoch(train) [220][1540/1879] lr: 1.0000e-04 eta: 5:24:16 time: 0.2896 data_time: 0.0245 memory: 8198 grad_norm: 7.2764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8598 loss: 0.8598 2022/08/04 00:01:24 - mmengine - INFO - Epoch(train) [220][1560/1879] lr: 1.0000e-04 eta: 5:24:10 time: 0.2866 data_time: 0.0238 memory: 8198 grad_norm: 7.0496 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1110 loss: 1.1110 2022/08/04 00:01:30 - mmengine - INFO - Epoch(train) [220][1580/1879] lr: 1.0000e-04 eta: 5:24:04 time: 0.2913 data_time: 0.0219 memory: 8198 grad_norm: 7.6079 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0824 loss: 1.0824 2022/08/04 00:01:35 - mmengine - INFO - Epoch(train) [220][1600/1879] lr: 1.0000e-04 eta: 5:23:59 time: 0.2877 data_time: 0.0218 memory: 8198 grad_norm: 7.4645 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/08/04 00:01:41 - mmengine - INFO - Epoch(train) [220][1620/1879] lr: 1.0000e-04 eta: 5:23:53 time: 0.2875 data_time: 0.0184 memory: 8198 grad_norm: 7.2816 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8460 loss: 0.8460 2022/08/04 00:01:47 - mmengine - INFO - Epoch(train) [220][1640/1879] lr: 1.0000e-04 eta: 5:23:47 time: 0.2862 data_time: 0.0201 memory: 8198 grad_norm: 7.3004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/08/04 00:01:53 - mmengine - INFO - Epoch(train) [220][1660/1879] lr: 1.0000e-04 eta: 5:23:42 time: 0.2944 data_time: 0.0225 memory: 8198 grad_norm: 6.9963 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/04 00:01:58 - mmengine - INFO - Epoch(train) [220][1680/1879] lr: 1.0000e-04 eta: 5:23:36 time: 0.2853 data_time: 0.0203 memory: 8198 grad_norm: 7.5175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0530 loss: 1.0530 2022/08/04 00:02:04 - mmengine - INFO - Epoch(train) [220][1700/1879] lr: 1.0000e-04 eta: 5:23:30 time: 0.2840 data_time: 0.0178 memory: 8198 grad_norm: 7.3034 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7759 loss: 0.7759 2022/08/04 00:02:10 - mmengine - INFO - Epoch(train) [220][1720/1879] lr: 1.0000e-04 eta: 5:23:24 time: 0.2899 data_time: 0.0260 memory: 8198 grad_norm: 7.4442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8845 loss: 0.8845 2022/08/04 00:02:16 - mmengine - INFO - Epoch(train) [220][1740/1879] lr: 1.0000e-04 eta: 5:23:19 time: 0.2844 data_time: 0.0191 memory: 8198 grad_norm: 7.2963 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/08/04 00:02:22 - mmengine - INFO - Epoch(train) [220][1760/1879] lr: 1.0000e-04 eta: 5:23:13 time: 0.2891 data_time: 0.0229 memory: 8198 grad_norm: 6.9682 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9109 loss: 0.9109 2022/08/04 00:02:27 - mmengine - INFO - Epoch(train) [220][1780/1879] lr: 1.0000e-04 eta: 5:23:07 time: 0.2840 data_time: 0.0169 memory: 8198 grad_norm: 7.2997 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/08/04 00:02:33 - mmengine - INFO - Epoch(train) [220][1800/1879] lr: 1.0000e-04 eta: 5:23:02 time: 0.2879 data_time: 0.0231 memory: 8198 grad_norm: 7.2001 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9902 loss: 0.9902 2022/08/04 00:02:39 - mmengine - INFO - Epoch(train) [220][1820/1879] lr: 1.0000e-04 eta: 5:22:56 time: 0.2886 data_time: 0.0197 memory: 8198 grad_norm: 7.1369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8120 loss: 0.8120 2022/08/04 00:02:45 - mmengine - INFO - Epoch(train) [220][1840/1879] lr: 1.0000e-04 eta: 5:22:50 time: 0.2840 data_time: 0.0240 memory: 8198 grad_norm: 7.4049 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9231 loss: 0.9231 2022/08/04 00:02:50 - mmengine - INFO - Epoch(train) [220][1860/1879] lr: 1.0000e-04 eta: 5:22:44 time: 0.2869 data_time: 0.0175 memory: 8198 grad_norm: 7.2442 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9744 loss: 0.9744 2022/08/04 00:02:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:02:55 - mmengine - INFO - Epoch(train) [220][1879/1879] lr: 1.0000e-04 eta: 5:22:44 time: 0.2612 data_time: 0.0155 memory: 8198 grad_norm: 7.5232 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.9769 loss: 0.9769 2022/08/04 00:02:55 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/04 00:03:05 - mmengine - INFO - Epoch(val) [220][20/155] eta: 0:00:44 time: 0.3277 data_time: 0.2403 memory: 1514 2022/08/04 00:03:10 - mmengine - INFO - Epoch(val) [220][40/155] eta: 0:00:26 time: 0.2336 data_time: 0.1472 memory: 1514 2022/08/04 00:03:16 - mmengine - INFO - Epoch(val) [220][60/155] eta: 0:00:27 time: 0.2908 data_time: 0.2069 memory: 1514 2022/08/04 00:03:20 - mmengine - INFO - Epoch(val) [220][80/155] eta: 0:00:16 time: 0.2177 data_time: 0.1312 memory: 1514 2022/08/04 00:03:26 - mmengine - INFO - Epoch(val) [220][100/155] eta: 0:00:17 time: 0.3250 data_time: 0.2351 memory: 1514 2022/08/04 00:03:31 - mmengine - INFO - Epoch(val) [220][120/155] eta: 0:00:07 time: 0.2196 data_time: 0.1309 memory: 1514 2022/08/04 00:03:37 - mmengine - INFO - Epoch(val) [220][140/155] eta: 0:00:04 time: 0.2879 data_time: 0.2056 memory: 1514 2022/08/04 00:03:41 - mmengine - INFO - Epoch(val) [220][155/155] acc/top1: 0.6786 acc/top5: 0.8678 acc/mean1: 0.6785 2022/08/04 00:03:49 - mmengine - INFO - Epoch(train) [221][20/1879] lr: 1.0000e-04 eta: 5:22:33 time: 0.4114 data_time: 0.1369 memory: 8198 grad_norm: 7.1195 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9323 loss: 0.9323 2022/08/04 00:03:55 - mmengine - INFO - Epoch(train) [221][40/1879] lr: 1.0000e-04 eta: 5:22:27 time: 0.2907 data_time: 0.0181 memory: 8198 grad_norm: 7.3039 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9533 loss: 0.9533 2022/08/04 00:04:01 - mmengine - INFO - Epoch(train) [221][60/1879] lr: 1.0000e-04 eta: 5:22:21 time: 0.2915 data_time: 0.0267 memory: 8198 grad_norm: 7.4663 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7955 loss: 0.7955 2022/08/04 00:04:07 - mmengine - INFO - Epoch(train) [221][80/1879] lr: 1.0000e-04 eta: 5:22:16 time: 0.2884 data_time: 0.0169 memory: 8198 grad_norm: 7.2687 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9387 loss: 0.9387 2022/08/04 00:04:13 - mmengine - INFO - Epoch(train) [221][100/1879] lr: 1.0000e-04 eta: 5:22:10 time: 0.2927 data_time: 0.0269 memory: 8198 grad_norm: 7.2450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7899 loss: 0.7899 2022/08/04 00:04:19 - mmengine - INFO - Epoch(train) [221][120/1879] lr: 1.0000e-04 eta: 5:22:04 time: 0.2870 data_time: 0.0209 memory: 8198 grad_norm: 7.0929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8548 loss: 0.8548 2022/08/04 00:04:24 - mmengine - INFO - Epoch(train) [221][140/1879] lr: 1.0000e-04 eta: 5:21:58 time: 0.2858 data_time: 0.0228 memory: 8198 grad_norm: 7.2835 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8810 loss: 0.8810 2022/08/04 00:04:30 - mmengine - INFO - Epoch(train) [221][160/1879] lr: 1.0000e-04 eta: 5:21:53 time: 0.2880 data_time: 0.0244 memory: 8198 grad_norm: 7.1008 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/08/04 00:04:36 - mmengine - INFO - Epoch(train) [221][180/1879] lr: 1.0000e-04 eta: 5:21:47 time: 0.2846 data_time: 0.0252 memory: 8198 grad_norm: 7.2797 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9656 loss: 0.9656 2022/08/04 00:04:42 - mmengine - INFO - Epoch(train) [221][200/1879] lr: 1.0000e-04 eta: 5:21:41 time: 0.2890 data_time: 0.0215 memory: 8198 grad_norm: 7.4611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8711 loss: 0.8711 2022/08/04 00:04:47 - mmengine - INFO - Epoch(train) [221][220/1879] lr: 1.0000e-04 eta: 5:21:36 time: 0.2877 data_time: 0.0219 memory: 8198 grad_norm: 7.1335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8813 loss: 0.8813 2022/08/04 00:04:53 - mmengine - INFO - Epoch(train) [221][240/1879] lr: 1.0000e-04 eta: 5:21:30 time: 0.2853 data_time: 0.0238 memory: 8198 grad_norm: 7.2936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8685 loss: 0.8685 2022/08/04 00:04:59 - mmengine - INFO - Epoch(train) [221][260/1879] lr: 1.0000e-04 eta: 5:21:24 time: 0.2846 data_time: 0.0229 memory: 8198 grad_norm: 7.3377 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1133 loss: 1.1133 2022/08/04 00:05:05 - mmengine - INFO - Epoch(train) [221][280/1879] lr: 1.0000e-04 eta: 5:21:18 time: 0.2858 data_time: 0.0229 memory: 8198 grad_norm: 7.3043 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/08/04 00:05:11 - mmengine - INFO - Epoch(train) [221][300/1879] lr: 1.0000e-04 eta: 5:21:13 time: 0.2903 data_time: 0.0201 memory: 8198 grad_norm: 7.0603 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8082 loss: 0.8082 2022/08/04 00:05:16 - mmengine - INFO - Epoch(train) [221][320/1879] lr: 1.0000e-04 eta: 5:21:07 time: 0.2835 data_time: 0.0156 memory: 8198 grad_norm: 7.0894 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7852 loss: 0.7852 2022/08/04 00:05:22 - mmengine - INFO - Epoch(train) [221][340/1879] lr: 1.0000e-04 eta: 5:21:01 time: 0.2932 data_time: 0.0300 memory: 8198 grad_norm: 7.2718 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/08/04 00:05:28 - mmengine - INFO - Epoch(train) [221][360/1879] lr: 1.0000e-04 eta: 5:20:56 time: 0.2871 data_time: 0.0182 memory: 8198 grad_norm: 7.3411 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0057 loss: 1.0057 2022/08/04 00:05:34 - mmengine - INFO - Epoch(train) [221][380/1879] lr: 1.0000e-04 eta: 5:20:50 time: 0.3002 data_time: 0.0244 memory: 8198 grad_norm: 7.5372 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9582 loss: 0.9582 2022/08/04 00:05:40 - mmengine - INFO - Epoch(train) [221][400/1879] lr: 1.0000e-04 eta: 5:20:44 time: 0.2816 data_time: 0.0195 memory: 8198 grad_norm: 7.5173 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9368 loss: 0.9368 2022/08/04 00:05:45 - mmengine - INFO - Epoch(train) [221][420/1879] lr: 1.0000e-04 eta: 5:20:38 time: 0.2866 data_time: 0.0243 memory: 8198 grad_norm: 7.3505 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9240 loss: 0.9240 2022/08/04 00:05:51 - mmengine - INFO - Epoch(train) [221][440/1879] lr: 1.0000e-04 eta: 5:20:33 time: 0.2859 data_time: 0.0171 memory: 8198 grad_norm: 7.0773 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9694 loss: 0.9694 2022/08/04 00:05:57 - mmengine - INFO - Epoch(train) [221][460/1879] lr: 1.0000e-04 eta: 5:20:27 time: 0.2878 data_time: 0.0259 memory: 8198 grad_norm: 7.3264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/08/04 00:06:03 - mmengine - INFO - Epoch(train) [221][480/1879] lr: 1.0000e-04 eta: 5:20:21 time: 0.2860 data_time: 0.0226 memory: 8198 grad_norm: 7.5914 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0393 loss: 1.0393 2022/08/04 00:06:09 - mmengine - INFO - Epoch(train) [221][500/1879] lr: 1.0000e-04 eta: 5:20:16 time: 0.2930 data_time: 0.0235 memory: 8198 grad_norm: 7.0501 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8647 loss: 0.8647 2022/08/04 00:06:14 - mmengine - INFO - Epoch(train) [221][520/1879] lr: 1.0000e-04 eta: 5:20:10 time: 0.2854 data_time: 0.0207 memory: 8198 grad_norm: 7.1506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0256 loss: 1.0256 2022/08/04 00:06:20 - mmengine - INFO - Epoch(train) [221][540/1879] lr: 1.0000e-04 eta: 5:20:04 time: 0.2916 data_time: 0.0194 memory: 8198 grad_norm: 7.3578 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0928 loss: 1.0928 2022/08/04 00:06:26 - mmengine - INFO - Epoch(train) [221][560/1879] lr: 1.0000e-04 eta: 5:19:58 time: 0.2861 data_time: 0.0234 memory: 8198 grad_norm: 7.1102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0043 loss: 1.0043 2022/08/04 00:06:32 - mmengine - INFO - Epoch(train) [221][580/1879] lr: 1.0000e-04 eta: 5:19:53 time: 0.2952 data_time: 0.0243 memory: 8198 grad_norm: 7.3300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9549 loss: 0.9549 2022/08/04 00:06:38 - mmengine - INFO - Epoch(train) [221][600/1879] lr: 1.0000e-04 eta: 5:19:47 time: 0.2857 data_time: 0.0253 memory: 8198 grad_norm: 7.3241 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9770 loss: 0.9770 2022/08/04 00:06:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:06:44 - mmengine - INFO - Epoch(train) [221][620/1879] lr: 1.0000e-04 eta: 5:19:41 time: 0.3030 data_time: 0.0206 memory: 8198 grad_norm: 7.6321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/08/04 00:06:50 - mmengine - INFO - Epoch(train) [221][640/1879] lr: 1.0000e-04 eta: 5:19:36 time: 0.2974 data_time: 0.0248 memory: 8198 grad_norm: 7.3770 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8783 loss: 0.8783 2022/08/04 00:06:55 - mmengine - INFO - Epoch(train) [221][660/1879] lr: 1.0000e-04 eta: 5:19:30 time: 0.2855 data_time: 0.0247 memory: 8198 grad_norm: 7.1627 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/08/04 00:07:01 - mmengine - INFO - Epoch(train) [221][680/1879] lr: 1.0000e-04 eta: 5:19:24 time: 0.2982 data_time: 0.0211 memory: 8198 grad_norm: 7.1468 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0523 loss: 1.0523 2022/08/04 00:07:07 - mmengine - INFO - Epoch(train) [221][700/1879] lr: 1.0000e-04 eta: 5:19:18 time: 0.2841 data_time: 0.0184 memory: 8198 grad_norm: 7.1292 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8906 loss: 0.8906 2022/08/04 00:07:13 - mmengine - INFO - Epoch(train) [221][720/1879] lr: 1.0000e-04 eta: 5:19:13 time: 0.2976 data_time: 0.0210 memory: 8198 grad_norm: 7.0758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9333 loss: 0.9333 2022/08/04 00:07:19 - mmengine - INFO - Epoch(train) [221][740/1879] lr: 1.0000e-04 eta: 5:19:07 time: 0.2924 data_time: 0.0230 memory: 8198 grad_norm: 7.2083 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/08/04 00:07:25 - mmengine - INFO - Epoch(train) [221][760/1879] lr: 1.0000e-04 eta: 5:19:01 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 7.0358 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0105 loss: 1.0105 2022/08/04 00:07:30 - mmengine - INFO - Epoch(train) [221][780/1879] lr: 1.0000e-04 eta: 5:18:56 time: 0.2869 data_time: 0.0255 memory: 8198 grad_norm: 7.2565 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9688 loss: 0.9688 2022/08/04 00:07:36 - mmengine - INFO - Epoch(train) [221][800/1879] lr: 1.0000e-04 eta: 5:18:50 time: 0.2866 data_time: 0.0195 memory: 8198 grad_norm: 7.3941 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0629 loss: 1.0629 2022/08/04 00:07:42 - mmengine - INFO - Epoch(train) [221][820/1879] lr: 1.0000e-04 eta: 5:18:44 time: 0.2949 data_time: 0.0227 memory: 8198 grad_norm: 7.3820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8963 loss: 0.8963 2022/08/04 00:07:48 - mmengine - INFO - Epoch(train) [221][840/1879] lr: 1.0000e-04 eta: 5:18:38 time: 0.2846 data_time: 0.0210 memory: 8198 grad_norm: 7.2719 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/08/04 00:07:54 - mmengine - INFO - Epoch(train) [221][860/1879] lr: 1.0000e-04 eta: 5:18:33 time: 0.2938 data_time: 0.0273 memory: 8198 grad_norm: 7.1134 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7797 loss: 0.7797 2022/08/04 00:08:00 - mmengine - INFO - Epoch(train) [221][880/1879] lr: 1.0000e-04 eta: 5:18:27 time: 0.2933 data_time: 0.0241 memory: 8198 grad_norm: 7.1322 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9116 loss: 0.9116 2022/08/04 00:08:05 - mmengine - INFO - Epoch(train) [221][900/1879] lr: 1.0000e-04 eta: 5:18:21 time: 0.2844 data_time: 0.0200 memory: 8198 grad_norm: 7.2312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9486 loss: 0.9486 2022/08/04 00:08:11 - mmengine - INFO - Epoch(train) [221][920/1879] lr: 1.0000e-04 eta: 5:18:16 time: 0.2963 data_time: 0.0234 memory: 8198 grad_norm: 7.1434 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/08/04 00:08:17 - mmengine - INFO - Epoch(train) [221][940/1879] lr: 1.0000e-04 eta: 5:18:10 time: 0.2869 data_time: 0.0257 memory: 8198 grad_norm: 7.2854 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9735 loss: 0.9735 2022/08/04 00:08:23 - mmengine - INFO - Epoch(train) [221][960/1879] lr: 1.0000e-04 eta: 5:18:04 time: 0.2909 data_time: 0.0237 memory: 8198 grad_norm: 7.2310 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9567 loss: 0.9567 2022/08/04 00:08:29 - mmengine - INFO - Epoch(train) [221][980/1879] lr: 1.0000e-04 eta: 5:17:59 time: 0.2918 data_time: 0.0201 memory: 8198 grad_norm: 7.2368 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/04 00:08:35 - mmengine - INFO - Epoch(train) [221][1000/1879] lr: 1.0000e-04 eta: 5:17:53 time: 0.2849 data_time: 0.0242 memory: 8198 grad_norm: 7.2734 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9657 loss: 0.9657 2022/08/04 00:08:41 - mmengine - INFO - Epoch(train) [221][1020/1879] lr: 1.0000e-04 eta: 5:17:47 time: 0.2945 data_time: 0.0275 memory: 8198 grad_norm: 7.6317 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9897 loss: 0.9897 2022/08/04 00:08:46 - mmengine - INFO - Epoch(train) [221][1040/1879] lr: 1.0000e-04 eta: 5:17:41 time: 0.2831 data_time: 0.0211 memory: 8198 grad_norm: 7.3270 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9461 loss: 0.9461 2022/08/04 00:08:52 - mmengine - INFO - Epoch(train) [221][1060/1879] lr: 1.0000e-04 eta: 5:17:36 time: 0.2860 data_time: 0.0218 memory: 8198 grad_norm: 7.1078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8970 loss: 0.8970 2022/08/04 00:08:58 - mmengine - INFO - Epoch(train) [221][1080/1879] lr: 1.0000e-04 eta: 5:17:30 time: 0.2894 data_time: 0.0205 memory: 8198 grad_norm: 7.1239 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8515 loss: 0.8515 2022/08/04 00:09:04 - mmengine - INFO - Epoch(train) [221][1100/1879] lr: 1.0000e-04 eta: 5:17:24 time: 0.2898 data_time: 0.0220 memory: 8198 grad_norm: 7.3425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9293 loss: 0.9293 2022/08/04 00:09:09 - mmengine - INFO - Epoch(train) [221][1120/1879] lr: 1.0000e-04 eta: 5:17:18 time: 0.2871 data_time: 0.0218 memory: 8198 grad_norm: 7.1731 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9288 loss: 0.9288 2022/08/04 00:09:15 - mmengine - INFO - Epoch(train) [221][1140/1879] lr: 1.0000e-04 eta: 5:17:13 time: 0.2853 data_time: 0.0236 memory: 8198 grad_norm: 7.0994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9469 loss: 0.9469 2022/08/04 00:09:21 - mmengine - INFO - Epoch(train) [221][1160/1879] lr: 1.0000e-04 eta: 5:17:07 time: 0.2903 data_time: 0.0233 memory: 8198 grad_norm: 7.3211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7980 loss: 0.7980 2022/08/04 00:09:27 - mmengine - INFO - Epoch(train) [221][1180/1879] lr: 1.0000e-04 eta: 5:17:01 time: 0.2876 data_time: 0.0214 memory: 8198 grad_norm: 6.9550 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/08/04 00:09:33 - mmengine - INFO - Epoch(train) [221][1200/1879] lr: 1.0000e-04 eta: 5:16:56 time: 0.2904 data_time: 0.0208 memory: 8198 grad_norm: 7.1163 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9066 loss: 0.9066 2022/08/04 00:09:39 - mmengine - INFO - Epoch(train) [221][1220/1879] lr: 1.0000e-04 eta: 5:16:50 time: 0.2980 data_time: 0.0191 memory: 8198 grad_norm: 7.1887 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9989 loss: 0.9989 2022/08/04 00:09:44 - mmengine - INFO - Epoch(train) [221][1240/1879] lr: 1.0000e-04 eta: 5:16:44 time: 0.2847 data_time: 0.0206 memory: 8198 grad_norm: 7.2782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9626 loss: 0.9626 2022/08/04 00:09:50 - mmengine - INFO - Epoch(train) [221][1260/1879] lr: 1.0000e-04 eta: 5:16:38 time: 0.2866 data_time: 0.0214 memory: 8198 grad_norm: 7.3136 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8995 loss: 0.8995 2022/08/04 00:09:56 - mmengine - INFO - Epoch(train) [221][1280/1879] lr: 1.0000e-04 eta: 5:16:33 time: 0.2871 data_time: 0.0197 memory: 8198 grad_norm: 7.1570 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/04 00:10:02 - mmengine - INFO - Epoch(train) [221][1300/1879] lr: 1.0000e-04 eta: 5:16:27 time: 0.2879 data_time: 0.0250 memory: 8198 grad_norm: 7.0549 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/04 00:10:07 - mmengine - INFO - Epoch(train) [221][1320/1879] lr: 1.0000e-04 eta: 5:16:21 time: 0.2854 data_time: 0.0233 memory: 8198 grad_norm: 7.2221 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9201 loss: 0.9201 2022/08/04 00:10:13 - mmengine - INFO - Epoch(train) [221][1340/1879] lr: 1.0000e-04 eta: 5:16:16 time: 0.2857 data_time: 0.0232 memory: 8198 grad_norm: 7.1810 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8176 loss: 0.8176 2022/08/04 00:10:19 - mmengine - INFO - Epoch(train) [221][1360/1879] lr: 1.0000e-04 eta: 5:16:10 time: 0.3067 data_time: 0.0206 memory: 8198 grad_norm: 6.9447 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/04 00:10:25 - mmengine - INFO - Epoch(train) [221][1380/1879] lr: 1.0000e-04 eta: 5:16:04 time: 0.2830 data_time: 0.0235 memory: 8198 grad_norm: 7.2081 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9807 loss: 0.9807 2022/08/04 00:10:31 - mmengine - INFO - Epoch(train) [221][1400/1879] lr: 1.0000e-04 eta: 5:15:58 time: 0.2899 data_time: 0.0299 memory: 8198 grad_norm: 7.1132 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0479 loss: 1.0479 2022/08/04 00:10:37 - mmengine - INFO - Epoch(train) [221][1420/1879] lr: 1.0000e-04 eta: 5:15:53 time: 0.2852 data_time: 0.0229 memory: 8198 grad_norm: 7.2778 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9582 loss: 0.9582 2022/08/04 00:10:42 - mmengine - INFO - Epoch(train) [221][1440/1879] lr: 1.0000e-04 eta: 5:15:47 time: 0.2852 data_time: 0.0223 memory: 8198 grad_norm: 7.1122 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9104 loss: 0.9104 2022/08/04 00:10:48 - mmengine - INFO - Epoch(train) [221][1460/1879] lr: 1.0000e-04 eta: 5:15:41 time: 0.2870 data_time: 0.0225 memory: 8198 grad_norm: 7.5732 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9865 loss: 0.9865 2022/08/04 00:10:54 - mmengine - INFO - Epoch(train) [221][1480/1879] lr: 1.0000e-04 eta: 5:15:36 time: 0.2823 data_time: 0.0199 memory: 8198 grad_norm: 7.3925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8378 loss: 0.8378 2022/08/04 00:11:00 - mmengine - INFO - Epoch(train) [221][1500/1879] lr: 1.0000e-04 eta: 5:15:30 time: 0.3008 data_time: 0.0183 memory: 8198 grad_norm: 7.1481 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9741 loss: 0.9741 2022/08/04 00:11:05 - mmengine - INFO - Epoch(train) [221][1520/1879] lr: 1.0000e-04 eta: 5:15:24 time: 0.2833 data_time: 0.0219 memory: 8198 grad_norm: 7.2970 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8845 loss: 0.8845 2022/08/04 00:11:11 - mmengine - INFO - Epoch(train) [221][1540/1879] lr: 1.0000e-04 eta: 5:15:18 time: 0.2873 data_time: 0.0230 memory: 8198 grad_norm: 6.9876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8700 loss: 0.8700 2022/08/04 00:11:17 - mmengine - INFO - Epoch(train) [221][1560/1879] lr: 1.0000e-04 eta: 5:15:13 time: 0.2859 data_time: 0.0242 memory: 8198 grad_norm: 7.2986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8415 loss: 0.8415 2022/08/04 00:11:23 - mmengine - INFO - Epoch(train) [221][1580/1879] lr: 1.0000e-04 eta: 5:15:07 time: 0.3022 data_time: 0.0207 memory: 8198 grad_norm: 7.2926 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7355 loss: 0.7355 2022/08/04 00:11:29 - mmengine - INFO - Epoch(train) [221][1600/1879] lr: 1.0000e-04 eta: 5:15:01 time: 0.2918 data_time: 0.0301 memory: 8198 grad_norm: 7.3454 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0189 loss: 1.0189 2022/08/04 00:11:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:11:35 - mmengine - INFO - Epoch(train) [221][1620/1879] lr: 1.0000e-04 eta: 5:14:56 time: 0.2854 data_time: 0.0201 memory: 8198 grad_norm: 7.2397 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7827 loss: 0.7827 2022/08/04 00:11:40 - mmengine - INFO - Epoch(train) [221][1640/1879] lr: 1.0000e-04 eta: 5:14:50 time: 0.2909 data_time: 0.0238 memory: 8198 grad_norm: 7.1417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/08/04 00:11:46 - mmengine - INFO - Epoch(train) [221][1660/1879] lr: 1.0000e-04 eta: 5:14:44 time: 0.2894 data_time: 0.0248 memory: 8198 grad_norm: 7.1426 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9848 loss: 0.9848 2022/08/04 00:11:52 - mmengine - INFO - Epoch(train) [221][1680/1879] lr: 1.0000e-04 eta: 5:14:38 time: 0.2915 data_time: 0.0314 memory: 8198 grad_norm: 7.4055 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9961 loss: 0.9961 2022/08/04 00:11:58 - mmengine - INFO - Epoch(train) [221][1700/1879] lr: 1.0000e-04 eta: 5:14:33 time: 0.2870 data_time: 0.0240 memory: 8198 grad_norm: 7.4863 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9061 loss: 0.9061 2022/08/04 00:12:04 - mmengine - INFO - Epoch(train) [221][1720/1879] lr: 1.0000e-04 eta: 5:14:27 time: 0.2900 data_time: 0.0265 memory: 8198 grad_norm: 7.1814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0973 loss: 1.0973 2022/08/04 00:12:10 - mmengine - INFO - Epoch(train) [221][1740/1879] lr: 1.0000e-04 eta: 5:14:21 time: 0.2895 data_time: 0.0241 memory: 8198 grad_norm: 7.2255 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1202 loss: 1.1202 2022/08/04 00:12:15 - mmengine - INFO - Epoch(train) [221][1760/1879] lr: 1.0000e-04 eta: 5:14:16 time: 0.2906 data_time: 0.0270 memory: 8198 grad_norm: 7.3239 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9063 loss: 0.9063 2022/08/04 00:12:21 - mmengine - INFO - Epoch(train) [221][1780/1879] lr: 1.0000e-04 eta: 5:14:10 time: 0.2858 data_time: 0.0239 memory: 8198 grad_norm: 7.3720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0828 loss: 1.0828 2022/08/04 00:12:27 - mmengine - INFO - Epoch(train) [221][1800/1879] lr: 1.0000e-04 eta: 5:14:04 time: 0.2865 data_time: 0.0242 memory: 8198 grad_norm: 7.0120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9430 loss: 0.9430 2022/08/04 00:12:33 - mmengine - INFO - Epoch(train) [221][1820/1879] lr: 1.0000e-04 eta: 5:13:58 time: 0.2908 data_time: 0.0248 memory: 8198 grad_norm: 7.3881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8020 loss: 0.8020 2022/08/04 00:12:39 - mmengine - INFO - Epoch(train) [221][1840/1879] lr: 1.0000e-04 eta: 5:13:53 time: 0.2858 data_time: 0.0196 memory: 8198 grad_norm: 7.2935 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8292 loss: 0.8292 2022/08/04 00:12:44 - mmengine - INFO - Epoch(train) [221][1860/1879] lr: 1.0000e-04 eta: 5:13:47 time: 0.2901 data_time: 0.0216 memory: 8198 grad_norm: 7.2805 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9986 loss: 0.9986 2022/08/04 00:12:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:12:49 - mmengine - INFO - Epoch(train) [221][1879/1879] lr: 1.0000e-04 eta: 5:13:47 time: 0.2666 data_time: 0.0199 memory: 8198 grad_norm: 7.5550 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.0005 loss: 1.0005 2022/08/04 00:12:58 - mmengine - INFO - Epoch(train) [222][20/1879] lr: 1.0000e-04 eta: 5:13:35 time: 0.4153 data_time: 0.1200 memory: 8198 grad_norm: 7.4768 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9387 loss: 0.9387 2022/08/04 00:13:04 - mmengine - INFO - Epoch(train) [222][40/1879] lr: 1.0000e-04 eta: 5:13:30 time: 0.2963 data_time: 0.0218 memory: 8198 grad_norm: 7.4613 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8554 loss: 0.8554 2022/08/04 00:13:10 - mmengine - INFO - Epoch(train) [222][60/1879] lr: 1.0000e-04 eta: 5:13:24 time: 0.2959 data_time: 0.0274 memory: 8198 grad_norm: 7.3631 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8908 loss: 0.8908 2022/08/04 00:13:16 - mmengine - INFO - Epoch(train) [222][80/1879] lr: 1.0000e-04 eta: 5:13:18 time: 0.2861 data_time: 0.0201 memory: 8198 grad_norm: 7.3713 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/08/04 00:13:21 - mmengine - INFO - Epoch(train) [222][100/1879] lr: 1.0000e-04 eta: 5:13:13 time: 0.2905 data_time: 0.0201 memory: 8198 grad_norm: 7.1676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9203 loss: 0.9203 2022/08/04 00:13:27 - mmengine - INFO - Epoch(train) [222][120/1879] lr: 1.0000e-04 eta: 5:13:07 time: 0.2849 data_time: 0.0201 memory: 8198 grad_norm: 7.1642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8837 loss: 0.8837 2022/08/04 00:13:33 - mmengine - INFO - Epoch(train) [222][140/1879] lr: 1.0000e-04 eta: 5:13:01 time: 0.2917 data_time: 0.0266 memory: 8198 grad_norm: 7.2723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0385 loss: 1.0385 2022/08/04 00:13:39 - mmengine - INFO - Epoch(train) [222][160/1879] lr: 1.0000e-04 eta: 5:12:55 time: 0.2832 data_time: 0.0199 memory: 8198 grad_norm: 7.3657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/08/04 00:13:44 - mmengine - INFO - Epoch(train) [222][180/1879] lr: 1.0000e-04 eta: 5:12:50 time: 0.2859 data_time: 0.0205 memory: 8198 grad_norm: 7.0181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0043 loss: 1.0043 2022/08/04 00:13:50 - mmengine - INFO - Epoch(train) [222][200/1879] lr: 1.0000e-04 eta: 5:12:44 time: 0.2874 data_time: 0.0208 memory: 8198 grad_norm: 7.3324 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9910 loss: 0.9910 2022/08/04 00:13:56 - mmengine - INFO - Epoch(train) [222][220/1879] lr: 1.0000e-04 eta: 5:12:38 time: 0.2859 data_time: 0.0222 memory: 8198 grad_norm: 7.0202 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9444 loss: 0.9444 2022/08/04 00:14:02 - mmengine - INFO - Epoch(train) [222][240/1879] lr: 1.0000e-04 eta: 5:12:33 time: 0.2872 data_time: 0.0228 memory: 8198 grad_norm: 7.3992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8779 loss: 0.8779 2022/08/04 00:14:07 - mmengine - INFO - Epoch(train) [222][260/1879] lr: 1.0000e-04 eta: 5:12:27 time: 0.2861 data_time: 0.0254 memory: 8198 grad_norm: 7.4356 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0571 loss: 1.0571 2022/08/04 00:14:13 - mmengine - INFO - Epoch(train) [222][280/1879] lr: 1.0000e-04 eta: 5:12:21 time: 0.2870 data_time: 0.0178 memory: 8198 grad_norm: 7.2400 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9484 loss: 0.9484 2022/08/04 00:14:19 - mmengine - INFO - Epoch(train) [222][300/1879] lr: 1.0000e-04 eta: 5:12:15 time: 0.2942 data_time: 0.0247 memory: 8198 grad_norm: 7.2454 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8314 loss: 0.8314 2022/08/04 00:14:25 - mmengine - INFO - Epoch(train) [222][320/1879] lr: 1.0000e-04 eta: 5:12:10 time: 0.2859 data_time: 0.0232 memory: 8198 grad_norm: 7.5400 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/08/04 00:14:31 - mmengine - INFO - Epoch(train) [222][340/1879] lr: 1.0000e-04 eta: 5:12:04 time: 0.2881 data_time: 0.0265 memory: 8198 grad_norm: 7.4297 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1921 loss: 1.1921 2022/08/04 00:14:36 - mmengine - INFO - Epoch(train) [222][360/1879] lr: 1.0000e-04 eta: 5:11:58 time: 0.2831 data_time: 0.0182 memory: 8198 grad_norm: 7.1791 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7751 loss: 0.7751 2022/08/04 00:14:42 - mmengine - INFO - Epoch(train) [222][380/1879] lr: 1.0000e-04 eta: 5:11:53 time: 0.2941 data_time: 0.0231 memory: 8198 grad_norm: 7.2691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/08/04 00:14:48 - mmengine - INFO - Epoch(train) [222][400/1879] lr: 1.0000e-04 eta: 5:11:47 time: 0.2861 data_time: 0.0215 memory: 8198 grad_norm: 7.2177 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8765 loss: 0.8765 2022/08/04 00:14:54 - mmengine - INFO - Epoch(train) [222][420/1879] lr: 1.0000e-04 eta: 5:11:41 time: 0.2848 data_time: 0.0223 memory: 8198 grad_norm: 7.4380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/08/04 00:15:00 - mmengine - INFO - Epoch(train) [222][440/1879] lr: 1.0000e-04 eta: 5:11:35 time: 0.2888 data_time: 0.0245 memory: 8198 grad_norm: 7.4932 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1111 loss: 1.1111 2022/08/04 00:15:05 - mmengine - INFO - Epoch(train) [222][460/1879] lr: 1.0000e-04 eta: 5:11:30 time: 0.2873 data_time: 0.0293 memory: 8198 grad_norm: 7.2946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9565 loss: 0.9565 2022/08/04 00:15:11 - mmengine - INFO - Epoch(train) [222][480/1879] lr: 1.0000e-04 eta: 5:11:24 time: 0.2867 data_time: 0.0258 memory: 8198 grad_norm: 7.2433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9881 loss: 0.9881 2022/08/04 00:15:17 - mmengine - INFO - Epoch(train) [222][500/1879] lr: 1.0000e-04 eta: 5:11:18 time: 0.2924 data_time: 0.0353 memory: 8198 grad_norm: 7.3731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8572 loss: 0.8572 2022/08/04 00:15:23 - mmengine - INFO - Epoch(train) [222][520/1879] lr: 1.0000e-04 eta: 5:11:12 time: 0.2853 data_time: 0.0189 memory: 8198 grad_norm: 7.3454 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0089 loss: 1.0089 2022/08/04 00:15:29 - mmengine - INFO - Epoch(train) [222][540/1879] lr: 1.0000e-04 eta: 5:11:07 time: 0.3020 data_time: 0.0235 memory: 8198 grad_norm: 7.2336 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/04 00:15:35 - mmengine - INFO - Epoch(train) [222][560/1879] lr: 1.0000e-04 eta: 5:11:01 time: 0.2846 data_time: 0.0212 memory: 8198 grad_norm: 7.1211 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8188 loss: 0.8188 2022/08/04 00:15:40 - mmengine - INFO - Epoch(train) [222][580/1879] lr: 1.0000e-04 eta: 5:10:55 time: 0.2896 data_time: 0.0221 memory: 8198 grad_norm: 6.9699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8935 loss: 0.8935 2022/08/04 00:15:46 - mmengine - INFO - Epoch(train) [222][600/1879] lr: 1.0000e-04 eta: 5:10:50 time: 0.2867 data_time: 0.0253 memory: 8198 grad_norm: 7.3150 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9378 loss: 0.9378 2022/08/04 00:15:52 - mmengine - INFO - Epoch(train) [222][620/1879] lr: 1.0000e-04 eta: 5:10:44 time: 0.2836 data_time: 0.0194 memory: 8198 grad_norm: 7.2652 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0366 loss: 1.0366 2022/08/04 00:15:58 - mmengine - INFO - Epoch(train) [222][640/1879] lr: 1.0000e-04 eta: 5:10:38 time: 0.2895 data_time: 0.0238 memory: 8198 grad_norm: 7.3289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7404 loss: 0.7404 2022/08/04 00:16:03 - mmengine - INFO - Epoch(train) [222][660/1879] lr: 1.0000e-04 eta: 5:10:32 time: 0.2880 data_time: 0.0221 memory: 8198 grad_norm: 7.3271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0720 loss: 1.0720 2022/08/04 00:16:09 - mmengine - INFO - Epoch(train) [222][680/1879] lr: 1.0000e-04 eta: 5:10:27 time: 0.2850 data_time: 0.0252 memory: 8198 grad_norm: 7.2377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9331 loss: 0.9331 2022/08/04 00:16:15 - mmengine - INFO - Epoch(train) [222][700/1879] lr: 1.0000e-04 eta: 5:10:21 time: 0.2854 data_time: 0.0244 memory: 8198 grad_norm: 7.6187 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9065 loss: 0.9065 2022/08/04 00:16:21 - mmengine - INFO - Epoch(train) [222][720/1879] lr: 1.0000e-04 eta: 5:10:15 time: 0.2941 data_time: 0.0203 memory: 8198 grad_norm: 7.0544 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8259 loss: 0.8259 2022/08/04 00:16:27 - mmengine - INFO - Epoch(train) [222][740/1879] lr: 1.0000e-04 eta: 5:10:10 time: 0.2860 data_time: 0.0235 memory: 8198 grad_norm: 7.4018 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9600 loss: 0.9600 2022/08/04 00:16:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:16:32 - mmengine - INFO - Epoch(train) [222][760/1879] lr: 1.0000e-04 eta: 5:10:04 time: 0.2879 data_time: 0.0220 memory: 8198 grad_norm: 7.4995 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9394 loss: 0.9394 2022/08/04 00:16:38 - mmengine - INFO - Epoch(train) [222][780/1879] lr: 1.0000e-04 eta: 5:09:58 time: 0.2868 data_time: 0.0210 memory: 8198 grad_norm: 7.3838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8111 loss: 0.8111 2022/08/04 00:16:44 - mmengine - INFO - Epoch(train) [222][800/1879] lr: 1.0000e-04 eta: 5:09:52 time: 0.2918 data_time: 0.0269 memory: 8198 grad_norm: 7.3666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8815 loss: 0.8815 2022/08/04 00:16:50 - mmengine - INFO - Epoch(train) [222][820/1879] lr: 1.0000e-04 eta: 5:09:47 time: 0.2873 data_time: 0.0249 memory: 8198 grad_norm: 7.2331 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9638 loss: 0.9638 2022/08/04 00:16:56 - mmengine - INFO - Epoch(train) [222][840/1879] lr: 1.0000e-04 eta: 5:09:41 time: 0.2859 data_time: 0.0236 memory: 8198 grad_norm: 7.4230 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0730 loss: 1.0730 2022/08/04 00:17:02 - mmengine - INFO - Epoch(train) [222][860/1879] lr: 1.0000e-04 eta: 5:09:35 time: 0.2996 data_time: 0.0223 memory: 8198 grad_norm: 6.9956 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9822 loss: 0.9822 2022/08/04 00:17:07 - mmengine - INFO - Epoch(train) [222][880/1879] lr: 1.0000e-04 eta: 5:09:30 time: 0.2947 data_time: 0.0196 memory: 8198 grad_norm: 7.2420 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8360 loss: 0.8360 2022/08/04 00:17:13 - mmengine - INFO - Epoch(train) [222][900/1879] lr: 1.0000e-04 eta: 5:09:24 time: 0.2893 data_time: 0.0236 memory: 8198 grad_norm: 7.6077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0566 loss: 1.0566 2022/08/04 00:17:19 - mmengine - INFO - Epoch(train) [222][920/1879] lr: 1.0000e-04 eta: 5:09:18 time: 0.2849 data_time: 0.0255 memory: 8198 grad_norm: 7.3383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9021 loss: 0.9021 2022/08/04 00:17:25 - mmengine - INFO - Epoch(train) [222][940/1879] lr: 1.0000e-04 eta: 5:09:12 time: 0.2897 data_time: 0.0232 memory: 8198 grad_norm: 7.3387 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9459 loss: 0.9459 2022/08/04 00:17:31 - mmengine - INFO - Epoch(train) [222][960/1879] lr: 1.0000e-04 eta: 5:09:07 time: 0.2864 data_time: 0.0228 memory: 8198 grad_norm: 7.0830 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0015 loss: 1.0015 2022/08/04 00:17:36 - mmengine - INFO - Epoch(train) [222][980/1879] lr: 1.0000e-04 eta: 5:09:01 time: 0.2857 data_time: 0.0204 memory: 8198 grad_norm: 7.2826 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9471 loss: 0.9471 2022/08/04 00:17:42 - mmengine - INFO - Epoch(train) [222][1000/1879] lr: 1.0000e-04 eta: 5:08:55 time: 0.2926 data_time: 0.0207 memory: 8198 grad_norm: 7.1833 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9503 loss: 0.9503 2022/08/04 00:17:48 - mmengine - INFO - Epoch(train) [222][1020/1879] lr: 1.0000e-04 eta: 5:08:50 time: 0.2843 data_time: 0.0206 memory: 8198 grad_norm: 7.2225 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/08/04 00:17:54 - mmengine - INFO - Epoch(train) [222][1040/1879] lr: 1.0000e-04 eta: 5:08:44 time: 0.2868 data_time: 0.0191 memory: 8198 grad_norm: 7.4258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0041 loss: 1.0041 2022/08/04 00:18:00 - mmengine - INFO - Epoch(train) [222][1060/1879] lr: 1.0000e-04 eta: 5:08:38 time: 0.2931 data_time: 0.0254 memory: 8198 grad_norm: 7.4526 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9889 loss: 0.9889 2022/08/04 00:18:05 - mmengine - INFO - Epoch(train) [222][1080/1879] lr: 1.0000e-04 eta: 5:08:32 time: 0.2849 data_time: 0.0216 memory: 8198 grad_norm: 7.1785 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8974 loss: 0.8974 2022/08/04 00:18:11 - mmengine - INFO - Epoch(train) [222][1100/1879] lr: 1.0000e-04 eta: 5:08:27 time: 0.2875 data_time: 0.0209 memory: 8198 grad_norm: 7.3210 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9075 loss: 0.9075 2022/08/04 00:18:17 - mmengine - INFO - Epoch(train) [222][1120/1879] lr: 1.0000e-04 eta: 5:08:21 time: 0.2858 data_time: 0.0207 memory: 8198 grad_norm: 7.0426 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9461 loss: 0.9461 2022/08/04 00:18:23 - mmengine - INFO - Epoch(train) [222][1140/1879] lr: 1.0000e-04 eta: 5:08:15 time: 0.2900 data_time: 0.0239 memory: 8198 grad_norm: 7.3342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0536 loss: 1.0536 2022/08/04 00:18:28 - mmengine - INFO - Epoch(train) [222][1160/1879] lr: 1.0000e-04 eta: 5:08:10 time: 0.2850 data_time: 0.0231 memory: 8198 grad_norm: 7.4738 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9704 loss: 0.9704 2022/08/04 00:18:34 - mmengine - INFO - Epoch(train) [222][1180/1879] lr: 1.0000e-04 eta: 5:08:04 time: 0.2881 data_time: 0.0229 memory: 8198 grad_norm: 7.3137 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9509 loss: 0.9509 2022/08/04 00:18:40 - mmengine - INFO - Epoch(train) [222][1200/1879] lr: 1.0000e-04 eta: 5:07:58 time: 0.3051 data_time: 0.0242 memory: 8198 grad_norm: 7.1619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8252 loss: 0.8252 2022/08/04 00:18:46 - mmengine - INFO - Epoch(train) [222][1220/1879] lr: 1.0000e-04 eta: 5:07:52 time: 0.2847 data_time: 0.0199 memory: 8198 grad_norm: 7.3423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9196 loss: 0.9196 2022/08/04 00:18:52 - mmengine - INFO - Epoch(train) [222][1240/1879] lr: 1.0000e-04 eta: 5:07:47 time: 0.2869 data_time: 0.0213 memory: 8198 grad_norm: 7.2340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9383 loss: 0.9383 2022/08/04 00:18:58 - mmengine - INFO - Epoch(train) [222][1260/1879] lr: 1.0000e-04 eta: 5:07:41 time: 0.2878 data_time: 0.0210 memory: 8198 grad_norm: 7.4080 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8629 loss: 0.8629 2022/08/04 00:19:03 - mmengine - INFO - Epoch(train) [222][1280/1879] lr: 1.0000e-04 eta: 5:07:35 time: 0.2905 data_time: 0.0274 memory: 8198 grad_norm: 7.1137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7783 loss: 0.7783 2022/08/04 00:19:09 - mmengine - INFO - Epoch(train) [222][1300/1879] lr: 1.0000e-04 eta: 5:07:30 time: 0.2867 data_time: 0.0244 memory: 8198 grad_norm: 7.1024 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8852 loss: 0.8852 2022/08/04 00:19:15 - mmengine - INFO - Epoch(train) [222][1320/1879] lr: 1.0000e-04 eta: 5:07:24 time: 0.2870 data_time: 0.0240 memory: 8198 grad_norm: 7.1719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8419 loss: 0.8419 2022/08/04 00:19:21 - mmengine - INFO - Epoch(train) [222][1340/1879] lr: 1.0000e-04 eta: 5:07:18 time: 0.2895 data_time: 0.0225 memory: 8198 grad_norm: 7.4674 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9798 loss: 0.9798 2022/08/04 00:19:27 - mmengine - INFO - Epoch(train) [222][1360/1879] lr: 1.0000e-04 eta: 5:07:12 time: 0.2854 data_time: 0.0247 memory: 8198 grad_norm: 7.2577 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0711 loss: 1.0711 2022/08/04 00:19:32 - mmengine - INFO - Epoch(train) [222][1380/1879] lr: 1.0000e-04 eta: 5:07:07 time: 0.2890 data_time: 0.0220 memory: 8198 grad_norm: 7.3399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8772 loss: 0.8772 2022/08/04 00:19:38 - mmengine - INFO - Epoch(train) [222][1400/1879] lr: 1.0000e-04 eta: 5:07:01 time: 0.2860 data_time: 0.0195 memory: 8198 grad_norm: 7.6429 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0096 loss: 1.0096 2022/08/04 00:19:44 - mmengine - INFO - Epoch(train) [222][1420/1879] lr: 1.0000e-04 eta: 5:06:55 time: 0.2939 data_time: 0.0219 memory: 8198 grad_norm: 7.3254 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9045 loss: 0.9045 2022/08/04 00:19:50 - mmengine - INFO - Epoch(train) [222][1440/1879] lr: 1.0000e-04 eta: 5:06:50 time: 0.2862 data_time: 0.0223 memory: 8198 grad_norm: 7.2120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8844 loss: 0.8844 2022/08/04 00:19:56 - mmengine - INFO - Epoch(train) [222][1460/1879] lr: 1.0000e-04 eta: 5:06:44 time: 0.2867 data_time: 0.0198 memory: 8198 grad_norm: 7.5792 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0076 loss: 1.0076 2022/08/04 00:20:01 - mmengine - INFO - Epoch(train) [222][1480/1879] lr: 1.0000e-04 eta: 5:06:38 time: 0.2909 data_time: 0.0209 memory: 8198 grad_norm: 7.3792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0170 loss: 1.0170 2022/08/04 00:20:07 - mmengine - INFO - Epoch(train) [222][1500/1879] lr: 1.0000e-04 eta: 5:06:32 time: 0.2859 data_time: 0.0268 memory: 8198 grad_norm: 7.2843 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8919 loss: 0.8919 2022/08/04 00:20:13 - mmengine - INFO - Epoch(train) [222][1520/1879] lr: 1.0000e-04 eta: 5:06:27 time: 0.2893 data_time: 0.0173 memory: 8198 grad_norm: 7.4254 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9944 loss: 0.9944 2022/08/04 00:20:19 - mmengine - INFO - Epoch(train) [222][1540/1879] lr: 1.0000e-04 eta: 5:06:21 time: 0.2845 data_time: 0.0213 memory: 8198 grad_norm: 7.1193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/08/04 00:20:24 - mmengine - INFO - Epoch(train) [222][1560/1879] lr: 1.0000e-04 eta: 5:06:15 time: 0.2896 data_time: 0.0244 memory: 8198 grad_norm: 7.2064 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9656 loss: 0.9656 2022/08/04 00:20:30 - mmengine - INFO - Epoch(train) [222][1580/1879] lr: 1.0000e-04 eta: 5:06:09 time: 0.2876 data_time: 0.0277 memory: 8198 grad_norm: 7.0750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8647 loss: 0.8647 2022/08/04 00:20:36 - mmengine - INFO - Epoch(train) [222][1600/1879] lr: 1.0000e-04 eta: 5:06:04 time: 0.2860 data_time: 0.0206 memory: 8198 grad_norm: 7.2924 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0202 loss: 1.0202 2022/08/04 00:20:42 - mmengine - INFO - Epoch(train) [222][1620/1879] lr: 1.0000e-04 eta: 5:05:58 time: 0.2890 data_time: 0.0231 memory: 8198 grad_norm: 7.4272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/08/04 00:20:48 - mmengine - INFO - Epoch(train) [222][1640/1879] lr: 1.0000e-04 eta: 5:05:52 time: 0.2844 data_time: 0.0228 memory: 8198 grad_norm: 7.0772 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9096 loss: 0.9096 2022/08/04 00:20:53 - mmengine - INFO - Epoch(train) [222][1660/1879] lr: 1.0000e-04 eta: 5:05:47 time: 0.2873 data_time: 0.0240 memory: 8198 grad_norm: 7.0964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/04 00:20:59 - mmengine - INFO - Epoch(train) [222][1680/1879] lr: 1.0000e-04 eta: 5:05:41 time: 0.2849 data_time: 0.0197 memory: 8198 grad_norm: 7.3842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9917 loss: 0.9917 2022/08/04 00:21:05 - mmengine - INFO - Epoch(train) [222][1700/1879] lr: 1.0000e-04 eta: 5:05:35 time: 0.3064 data_time: 0.0244 memory: 8198 grad_norm: 7.2388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0863 loss: 1.0863 2022/08/04 00:21:11 - mmengine - INFO - Epoch(train) [222][1720/1879] lr: 1.0000e-04 eta: 5:05:29 time: 0.2852 data_time: 0.0250 memory: 8198 grad_norm: 7.3295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/08/04 00:21:17 - mmengine - INFO - Epoch(train) [222][1740/1879] lr: 1.0000e-04 eta: 5:05:24 time: 0.2840 data_time: 0.0206 memory: 8198 grad_norm: 7.4501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1337 loss: 1.1337 2022/08/04 00:21:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:21:22 - mmengine - INFO - Epoch(train) [222][1760/1879] lr: 1.0000e-04 eta: 5:05:18 time: 0.2890 data_time: 0.0184 memory: 8198 grad_norm: 7.4757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9297 loss: 0.9297 2022/08/04 00:21:28 - mmengine - INFO - Epoch(train) [222][1780/1879] lr: 1.0000e-04 eta: 5:05:12 time: 0.2892 data_time: 0.0198 memory: 8198 grad_norm: 7.2167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9336 loss: 0.9336 2022/08/04 00:21:34 - mmengine - INFO - Epoch(train) [222][1800/1879] lr: 1.0000e-04 eta: 5:05:07 time: 0.2973 data_time: 0.0410 memory: 8198 grad_norm: 7.3205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9424 loss: 0.9424 2022/08/04 00:21:40 - mmengine - INFO - Epoch(train) [222][1820/1879] lr: 1.0000e-04 eta: 5:05:01 time: 0.2929 data_time: 0.0256 memory: 8198 grad_norm: 7.3244 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9361 loss: 0.9361 2022/08/04 00:21:46 - mmengine - INFO - Epoch(train) [222][1840/1879] lr: 1.0000e-04 eta: 5:04:55 time: 0.2866 data_time: 0.0214 memory: 8198 grad_norm: 7.2740 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1624 loss: 1.1624 2022/08/04 00:21:52 - mmengine - INFO - Epoch(train) [222][1860/1879] lr: 1.0000e-04 eta: 5:04:50 time: 0.2906 data_time: 0.0225 memory: 8198 grad_norm: 7.1146 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9158 loss: 0.9158 2022/08/04 00:21:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:21:57 - mmengine - INFO - Epoch(train) [222][1879/1879] lr: 1.0000e-04 eta: 5:04:50 time: 0.2569 data_time: 0.0146 memory: 8198 grad_norm: 7.1980 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/08/04 00:22:05 - mmengine - INFO - Epoch(train) [223][20/1879] lr: 1.0000e-04 eta: 5:04:38 time: 0.4271 data_time: 0.1494 memory: 8198 grad_norm: 7.1439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9395 loss: 0.9395 2022/08/04 00:22:11 - mmengine - INFO - Epoch(train) [223][40/1879] lr: 1.0000e-04 eta: 5:04:32 time: 0.2919 data_time: 0.0217 memory: 8198 grad_norm: 7.2266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0440 loss: 1.0440 2022/08/04 00:22:17 - mmengine - INFO - Epoch(train) [223][60/1879] lr: 1.0000e-04 eta: 5:04:27 time: 0.2883 data_time: 0.0220 memory: 8198 grad_norm: 7.1898 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8508 loss: 0.8508 2022/08/04 00:22:23 - mmengine - INFO - Epoch(train) [223][80/1879] lr: 1.0000e-04 eta: 5:04:21 time: 0.2965 data_time: 0.0186 memory: 8198 grad_norm: 7.5027 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9030 loss: 0.9030 2022/08/04 00:22:29 - mmengine - INFO - Epoch(train) [223][100/1879] lr: 1.0000e-04 eta: 5:04:15 time: 0.2844 data_time: 0.0205 memory: 8198 grad_norm: 7.4802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/08/04 00:22:34 - mmengine - INFO - Epoch(train) [223][120/1879] lr: 1.0000e-04 eta: 5:04:09 time: 0.2861 data_time: 0.0184 memory: 8198 grad_norm: 7.1282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0508 loss: 1.0508 2022/08/04 00:22:40 - mmengine - INFO - Epoch(train) [223][140/1879] lr: 1.0000e-04 eta: 5:04:04 time: 0.3053 data_time: 0.0230 memory: 8198 grad_norm: 7.1992 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9681 loss: 0.9681 2022/08/04 00:22:46 - mmengine - INFO - Epoch(train) [223][160/1879] lr: 1.0000e-04 eta: 5:03:58 time: 0.2833 data_time: 0.0215 memory: 8198 grad_norm: 7.1674 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2248 loss: 1.2248 2022/08/04 00:22:52 - mmengine - INFO - Epoch(train) [223][180/1879] lr: 1.0000e-04 eta: 5:03:52 time: 0.2866 data_time: 0.0235 memory: 8198 grad_norm: 7.3740 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8377 loss: 0.8377 2022/08/04 00:22:58 - mmengine - INFO - Epoch(train) [223][200/1879] lr: 1.0000e-04 eta: 5:03:47 time: 0.2858 data_time: 0.0206 memory: 8198 grad_norm: 7.2739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9114 loss: 0.9114 2022/08/04 00:23:04 - mmengine - INFO - Epoch(train) [223][220/1879] lr: 1.0000e-04 eta: 5:03:41 time: 0.3018 data_time: 0.0244 memory: 8198 grad_norm: 7.3818 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/04 00:23:09 - mmengine - INFO - Epoch(train) [223][240/1879] lr: 1.0000e-04 eta: 5:03:35 time: 0.2844 data_time: 0.0215 memory: 8198 grad_norm: 7.0394 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9951 loss: 0.9951 2022/08/04 00:23:15 - mmengine - INFO - Epoch(train) [223][260/1879] lr: 1.0000e-04 eta: 5:03:29 time: 0.2863 data_time: 0.0246 memory: 8198 grad_norm: 7.4489 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9652 loss: 0.9652 2022/08/04 00:23:21 - mmengine - INFO - Epoch(train) [223][280/1879] lr: 1.0000e-04 eta: 5:03:24 time: 0.2920 data_time: 0.0199 memory: 8198 grad_norm: 7.2895 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1307 loss: 1.1307 2022/08/04 00:23:27 - mmengine - INFO - Epoch(train) [223][300/1879] lr: 1.0000e-04 eta: 5:03:18 time: 0.2878 data_time: 0.0233 memory: 8198 grad_norm: 7.2913 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9591 loss: 0.9591 2022/08/04 00:23:33 - mmengine - INFO - Epoch(train) [223][320/1879] lr: 1.0000e-04 eta: 5:03:12 time: 0.2841 data_time: 0.0190 memory: 8198 grad_norm: 7.4094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9248 loss: 0.9248 2022/08/04 00:23:38 - mmengine - INFO - Epoch(train) [223][340/1879] lr: 1.0000e-04 eta: 5:03:07 time: 0.2863 data_time: 0.0255 memory: 8198 grad_norm: 7.5238 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8823 loss: 0.8823 2022/08/04 00:23:44 - mmengine - INFO - Epoch(train) [223][360/1879] lr: 1.0000e-04 eta: 5:03:01 time: 0.2872 data_time: 0.0208 memory: 8198 grad_norm: 7.2923 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/04 00:23:50 - mmengine - INFO - Epoch(train) [223][380/1879] lr: 1.0000e-04 eta: 5:02:55 time: 0.3019 data_time: 0.0232 memory: 8198 grad_norm: 7.1015 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9187 loss: 0.9187 2022/08/04 00:23:56 - mmengine - INFO - Epoch(train) [223][400/1879] lr: 1.0000e-04 eta: 5:02:49 time: 0.2831 data_time: 0.0174 memory: 8198 grad_norm: 7.0653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/08/04 00:24:02 - mmengine - INFO - Epoch(train) [223][420/1879] lr: 1.0000e-04 eta: 5:02:44 time: 0.2898 data_time: 0.0272 memory: 8198 grad_norm: 7.0015 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9533 loss: 0.9533 2022/08/04 00:24:08 - mmengine - INFO - Epoch(train) [223][440/1879] lr: 1.0000e-04 eta: 5:02:38 time: 0.2875 data_time: 0.0225 memory: 8198 grad_norm: 7.0843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0620 loss: 1.0620 2022/08/04 00:24:13 - mmengine - INFO - Epoch(train) [223][460/1879] lr: 1.0000e-04 eta: 5:02:32 time: 0.2883 data_time: 0.0272 memory: 8198 grad_norm: 7.3882 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8732 loss: 0.8732 2022/08/04 00:24:19 - mmengine - INFO - Epoch(train) [223][480/1879] lr: 1.0000e-04 eta: 5:02:27 time: 0.2869 data_time: 0.0201 memory: 8198 grad_norm: 7.1508 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0162 loss: 1.0162 2022/08/04 00:24:25 - mmengine - INFO - Epoch(train) [223][500/1879] lr: 1.0000e-04 eta: 5:02:21 time: 0.2972 data_time: 0.0196 memory: 8198 grad_norm: 7.4275 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/08/04 00:24:31 - mmengine - INFO - Epoch(train) [223][520/1879] lr: 1.0000e-04 eta: 5:02:15 time: 0.2956 data_time: 0.0268 memory: 8198 grad_norm: 7.3255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0742 loss: 1.0742 2022/08/04 00:24:37 - mmengine - INFO - Epoch(train) [223][540/1879] lr: 1.0000e-04 eta: 5:02:09 time: 0.2840 data_time: 0.0186 memory: 8198 grad_norm: 7.1853 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0137 loss: 1.0137 2022/08/04 00:24:43 - mmengine - INFO - Epoch(train) [223][560/1879] lr: 1.0000e-04 eta: 5:02:04 time: 0.2891 data_time: 0.0202 memory: 8198 grad_norm: 7.3627 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9209 loss: 0.9209 2022/08/04 00:24:48 - mmengine - INFO - Epoch(train) [223][580/1879] lr: 1.0000e-04 eta: 5:01:58 time: 0.2871 data_time: 0.0242 memory: 8198 grad_norm: 7.2201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/08/04 00:24:54 - mmengine - INFO - Epoch(train) [223][600/1879] lr: 1.0000e-04 eta: 5:01:52 time: 0.2981 data_time: 0.0208 memory: 8198 grad_norm: 7.2621 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9053 loss: 0.9053 2022/08/04 00:25:00 - mmengine - INFO - Epoch(train) [223][620/1879] lr: 1.0000e-04 eta: 5:01:47 time: 0.3015 data_time: 0.0219 memory: 8198 grad_norm: 7.3444 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0946 loss: 1.0946 2022/08/04 00:25:06 - mmengine - INFO - Epoch(train) [223][640/1879] lr: 1.0000e-04 eta: 5:01:41 time: 0.2811 data_time: 0.0183 memory: 8198 grad_norm: 7.3274 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7757 loss: 0.7757 2022/08/04 00:25:12 - mmengine - INFO - Epoch(train) [223][660/1879] lr: 1.0000e-04 eta: 5:01:35 time: 0.2960 data_time: 0.0220 memory: 8198 grad_norm: 6.9305 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7990 loss: 0.7990 2022/08/04 00:25:18 - mmengine - INFO - Epoch(train) [223][680/1879] lr: 1.0000e-04 eta: 5:01:29 time: 0.2859 data_time: 0.0205 memory: 8198 grad_norm: 7.3771 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9976 loss: 0.9976 2022/08/04 00:25:24 - mmengine - INFO - Epoch(train) [223][700/1879] lr: 1.0000e-04 eta: 5:01:24 time: 0.2998 data_time: 0.0364 memory: 8198 grad_norm: 7.3236 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0014 loss: 1.0014 2022/08/04 00:25:29 - mmengine - INFO - Epoch(train) [223][720/1879] lr: 1.0000e-04 eta: 5:01:18 time: 0.2858 data_time: 0.0234 memory: 8198 grad_norm: 7.2169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0679 loss: 1.0679 2022/08/04 00:25:35 - mmengine - INFO - Epoch(train) [223][740/1879] lr: 1.0000e-04 eta: 5:01:12 time: 0.2864 data_time: 0.0219 memory: 8198 grad_norm: 7.4348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9509 loss: 0.9509 2022/08/04 00:25:41 - mmengine - INFO - Epoch(train) [223][760/1879] lr: 1.0000e-04 eta: 5:01:07 time: 0.3048 data_time: 0.0235 memory: 8198 grad_norm: 7.1590 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/08/04 00:25:47 - mmengine - INFO - Epoch(train) [223][780/1879] lr: 1.0000e-04 eta: 5:01:01 time: 0.2826 data_time: 0.0218 memory: 8198 grad_norm: 7.1854 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8057 loss: 0.8057 2022/08/04 00:25:53 - mmengine - INFO - Epoch(train) [223][800/1879] lr: 1.0000e-04 eta: 5:00:55 time: 0.2874 data_time: 0.0200 memory: 8198 grad_norm: 7.5011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1541 loss: 1.1541 2022/08/04 00:25:59 - mmengine - INFO - Epoch(train) [223][820/1879] lr: 1.0000e-04 eta: 5:00:49 time: 0.2872 data_time: 0.0241 memory: 8198 grad_norm: 6.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8638 loss: 0.8638 2022/08/04 00:26:05 - mmengine - INFO - Epoch(train) [223][840/1879] lr: 1.0000e-04 eta: 5:00:44 time: 0.2992 data_time: 0.0228 memory: 8198 grad_norm: 7.2635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1741 loss: 1.1741 2022/08/04 00:26:10 - mmengine - INFO - Epoch(train) [223][860/1879] lr: 1.0000e-04 eta: 5:00:38 time: 0.2880 data_time: 0.0249 memory: 8198 grad_norm: 7.1135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1448 loss: 1.1448 2022/08/04 00:26:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:26:16 - mmengine - INFO - Epoch(train) [223][880/1879] lr: 1.0000e-04 eta: 5:00:32 time: 0.2898 data_time: 0.0202 memory: 8198 grad_norm: 7.0508 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9205 loss: 0.9205 2022/08/04 00:26:22 - mmengine - INFO - Epoch(train) [223][900/1879] lr: 1.0000e-04 eta: 5:00:27 time: 0.2908 data_time: 0.0186 memory: 8198 grad_norm: 7.4042 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8869 loss: 0.8869 2022/08/04 00:26:28 - mmengine - INFO - Epoch(train) [223][920/1879] lr: 1.0000e-04 eta: 5:00:21 time: 0.2840 data_time: 0.0224 memory: 8198 grad_norm: 7.5621 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/08/04 00:26:34 - mmengine - INFO - Epoch(train) [223][940/1879] lr: 1.0000e-04 eta: 5:00:15 time: 0.2892 data_time: 0.0214 memory: 8198 grad_norm: 7.2798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9161 loss: 0.9161 2022/08/04 00:26:39 - mmengine - INFO - Epoch(train) [223][960/1879] lr: 1.0000e-04 eta: 5:00:09 time: 0.2869 data_time: 0.0180 memory: 8198 grad_norm: 7.3619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9765 loss: 0.9765 2022/08/04 00:26:45 - mmengine - INFO - Epoch(train) [223][980/1879] lr: 1.0000e-04 eta: 5:00:04 time: 0.2941 data_time: 0.0232 memory: 8198 grad_norm: 7.4144 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1395 loss: 1.1395 2022/08/04 00:26:51 - mmengine - INFO - Epoch(train) [223][1000/1879] lr: 1.0000e-04 eta: 4:59:58 time: 0.2863 data_time: 0.0268 memory: 8198 grad_norm: 7.3199 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8670 loss: 0.8670 2022/08/04 00:26:57 - mmengine - INFO - Epoch(train) [223][1020/1879] lr: 1.0000e-04 eta: 4:59:52 time: 0.2861 data_time: 0.0206 memory: 8198 grad_norm: 7.4914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/08/04 00:27:03 - mmengine - INFO - Epoch(train) [223][1040/1879] lr: 1.0000e-04 eta: 4:59:47 time: 0.3192 data_time: 0.0209 memory: 8198 grad_norm: 7.4937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0159 loss: 1.0159 2022/08/04 00:27:09 - mmengine - INFO - Epoch(train) [223][1060/1879] lr: 1.0000e-04 eta: 4:59:41 time: 0.2831 data_time: 0.0261 memory: 8198 grad_norm: 7.2131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9470 loss: 0.9470 2022/08/04 00:27:15 - mmengine - INFO - Epoch(train) [223][1080/1879] lr: 1.0000e-04 eta: 4:59:35 time: 0.2841 data_time: 0.0193 memory: 8198 grad_norm: 7.3945 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8948 loss: 0.8948 2022/08/04 00:27:21 - mmengine - INFO - Epoch(train) [223][1100/1879] lr: 1.0000e-04 eta: 4:59:30 time: 0.2979 data_time: 0.0223 memory: 8198 grad_norm: 7.2863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/08/04 00:27:26 - mmengine - INFO - Epoch(train) [223][1120/1879] lr: 1.0000e-04 eta: 4:59:24 time: 0.2861 data_time: 0.0212 memory: 8198 grad_norm: 7.2261 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9354 loss: 0.9354 2022/08/04 00:27:32 - mmengine - INFO - Epoch(train) [223][1140/1879] lr: 1.0000e-04 eta: 4:59:18 time: 0.2881 data_time: 0.0251 memory: 8198 grad_norm: 7.6427 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0390 loss: 1.0390 2022/08/04 00:27:38 - mmengine - INFO - Epoch(train) [223][1160/1879] lr: 1.0000e-04 eta: 4:59:12 time: 0.2850 data_time: 0.0218 memory: 8198 grad_norm: 7.1735 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/08/04 00:27:44 - mmengine - INFO - Epoch(train) [223][1180/1879] lr: 1.0000e-04 eta: 4:59:07 time: 0.2908 data_time: 0.0187 memory: 8198 grad_norm: 7.2765 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9112 loss: 0.9112 2022/08/04 00:27:49 - mmengine - INFO - Epoch(train) [223][1200/1879] lr: 1.0000e-04 eta: 4:59:01 time: 0.2861 data_time: 0.0213 memory: 8198 grad_norm: 7.1956 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8192 loss: 0.8192 2022/08/04 00:27:55 - mmengine - INFO - Epoch(train) [223][1220/1879] lr: 1.0000e-04 eta: 4:58:55 time: 0.2856 data_time: 0.0235 memory: 8198 grad_norm: 7.2793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0185 loss: 1.0185 2022/08/04 00:28:01 - mmengine - INFO - Epoch(train) [223][1240/1879] lr: 1.0000e-04 eta: 4:58:49 time: 0.2944 data_time: 0.0192 memory: 8198 grad_norm: 7.3024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/08/04 00:28:07 - mmengine - INFO - Epoch(train) [223][1260/1879] lr: 1.0000e-04 eta: 4:58:44 time: 0.2877 data_time: 0.0268 memory: 8198 grad_norm: 7.1817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9922 loss: 0.9922 2022/08/04 00:28:13 - mmengine - INFO - Epoch(train) [223][1280/1879] lr: 1.0000e-04 eta: 4:58:38 time: 0.2861 data_time: 0.0197 memory: 8198 grad_norm: 7.3494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/04 00:28:18 - mmengine - INFO - Epoch(train) [223][1300/1879] lr: 1.0000e-04 eta: 4:58:32 time: 0.2871 data_time: 0.0247 memory: 8198 grad_norm: 7.3237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9658 loss: 0.9658 2022/08/04 00:28:24 - mmengine - INFO - Epoch(train) [223][1320/1879] lr: 1.0000e-04 eta: 4:58:27 time: 0.2904 data_time: 0.0241 memory: 8198 grad_norm: 7.3025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/04 00:28:30 - mmengine - INFO - Epoch(train) [223][1340/1879] lr: 1.0000e-04 eta: 4:58:21 time: 0.2883 data_time: 0.0205 memory: 8198 grad_norm: 7.4017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/08/04 00:28:36 - mmengine - INFO - Epoch(train) [223][1360/1879] lr: 1.0000e-04 eta: 4:58:15 time: 0.2855 data_time: 0.0217 memory: 8198 grad_norm: 7.3342 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9730 loss: 0.9730 2022/08/04 00:28:42 - mmengine - INFO - Epoch(train) [223][1380/1879] lr: 1.0000e-04 eta: 4:58:09 time: 0.2909 data_time: 0.0234 memory: 8198 grad_norm: 7.0335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8736 loss: 0.8736 2022/08/04 00:28:47 - mmengine - INFO - Epoch(train) [223][1400/1879] lr: 1.0000e-04 eta: 4:58:04 time: 0.2870 data_time: 0.0207 memory: 8198 grad_norm: 7.2625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9168 loss: 0.9168 2022/08/04 00:28:53 - mmengine - INFO - Epoch(train) [223][1420/1879] lr: 1.0000e-04 eta: 4:57:58 time: 0.2891 data_time: 0.0249 memory: 8198 grad_norm: 6.9313 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8710 loss: 0.8710 2022/08/04 00:28:59 - mmengine - INFO - Epoch(train) [223][1440/1879] lr: 1.0000e-04 eta: 4:57:52 time: 0.2858 data_time: 0.0223 memory: 8198 grad_norm: 7.6829 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/08/04 00:29:05 - mmengine - INFO - Epoch(train) [223][1460/1879] lr: 1.0000e-04 eta: 4:57:47 time: 0.2891 data_time: 0.0218 memory: 8198 grad_norm: 7.2230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/08/04 00:29:11 - mmengine - INFO - Epoch(train) [223][1480/1879] lr: 1.0000e-04 eta: 4:57:41 time: 0.2876 data_time: 0.0198 memory: 8198 grad_norm: 7.3308 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0617 loss: 1.0617 2022/08/04 00:29:16 - mmengine - INFO - Epoch(train) [223][1500/1879] lr: 1.0000e-04 eta: 4:57:35 time: 0.2865 data_time: 0.0212 memory: 8198 grad_norm: 7.4123 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0021 loss: 1.0021 2022/08/04 00:29:22 - mmengine - INFO - Epoch(train) [223][1520/1879] lr: 1.0000e-04 eta: 4:57:29 time: 0.3045 data_time: 0.0232 memory: 8198 grad_norm: 7.3961 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/04 00:29:28 - mmengine - INFO - Epoch(train) [223][1540/1879] lr: 1.0000e-04 eta: 4:57:24 time: 0.2862 data_time: 0.0188 memory: 8198 grad_norm: 7.4622 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0310 loss: 1.0310 2022/08/04 00:29:34 - mmengine - INFO - Epoch(train) [223][1560/1879] lr: 1.0000e-04 eta: 4:57:18 time: 0.2876 data_time: 0.0222 memory: 8198 grad_norm: 7.5266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1091 loss: 1.1091 2022/08/04 00:29:40 - mmengine - INFO - Epoch(train) [223][1580/1879] lr: 1.0000e-04 eta: 4:57:12 time: 0.2858 data_time: 0.0199 memory: 8198 grad_norm: 7.4666 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0060 loss: 1.0060 2022/08/04 00:29:46 - mmengine - INFO - Epoch(train) [223][1600/1879] lr: 1.0000e-04 eta: 4:57:07 time: 0.2931 data_time: 0.0248 memory: 8198 grad_norm: 7.4335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/08/04 00:29:51 - mmengine - INFO - Epoch(train) [223][1620/1879] lr: 1.0000e-04 eta: 4:57:01 time: 0.2862 data_time: 0.0255 memory: 8198 grad_norm: 7.3241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7994 loss: 0.7994 2022/08/04 00:29:57 - mmengine - INFO - Epoch(train) [223][1640/1879] lr: 1.0000e-04 eta: 4:56:55 time: 0.2871 data_time: 0.0223 memory: 8198 grad_norm: 7.2770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8112 loss: 0.8112 2022/08/04 00:30:03 - mmengine - INFO - Epoch(train) [223][1660/1879] lr: 1.0000e-04 eta: 4:56:49 time: 0.2938 data_time: 0.0226 memory: 8198 grad_norm: 7.4416 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0107 loss: 1.0107 2022/08/04 00:30:09 - mmengine - INFO - Epoch(train) [223][1680/1879] lr: 1.0000e-04 eta: 4:56:44 time: 0.2860 data_time: 0.0249 memory: 8198 grad_norm: 7.2793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9474 loss: 0.9474 2022/08/04 00:30:15 - mmengine - INFO - Epoch(train) [223][1700/1879] lr: 1.0000e-04 eta: 4:56:38 time: 0.2865 data_time: 0.0227 memory: 8198 grad_norm: 6.9963 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8027 loss: 0.8027 2022/08/04 00:30:20 - mmengine - INFO - Epoch(train) [223][1720/1879] lr: 1.0000e-04 eta: 4:56:32 time: 0.2906 data_time: 0.0173 memory: 8198 grad_norm: 7.5567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9304 loss: 0.9304 2022/08/04 00:30:26 - mmengine - INFO - Epoch(train) [223][1740/1879] lr: 1.0000e-04 eta: 4:56:27 time: 0.2884 data_time: 0.0230 memory: 8198 grad_norm: 7.2876 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9555 loss: 0.9555 2022/08/04 00:30:32 - mmengine - INFO - Epoch(train) [223][1760/1879] lr: 1.0000e-04 eta: 4:56:21 time: 0.2929 data_time: 0.0280 memory: 8198 grad_norm: 7.6777 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9782 loss: 0.9782 2022/08/04 00:30:38 - mmengine - INFO - Epoch(train) [223][1780/1879] lr: 1.0000e-04 eta: 4:56:15 time: 0.2837 data_time: 0.0192 memory: 8198 grad_norm: 7.2990 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8989 loss: 0.8989 2022/08/04 00:30:44 - mmengine - INFO - Epoch(train) [223][1800/1879] lr: 1.0000e-04 eta: 4:56:09 time: 0.2885 data_time: 0.0235 memory: 8198 grad_norm: 7.3578 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9883 loss: 0.9883 2022/08/04 00:30:49 - mmengine - INFO - Epoch(train) [223][1820/1879] lr: 1.0000e-04 eta: 4:56:04 time: 0.2854 data_time: 0.0234 memory: 8198 grad_norm: 7.3396 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8905 loss: 0.8905 2022/08/04 00:30:55 - mmengine - INFO - Epoch(train) [223][1840/1879] lr: 1.0000e-04 eta: 4:55:58 time: 0.2995 data_time: 0.0237 memory: 8198 grad_norm: 7.3140 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0430 loss: 1.0430 2022/08/04 00:31:01 - mmengine - INFO - Epoch(train) [223][1860/1879] lr: 1.0000e-04 eta: 4:55:52 time: 0.2838 data_time: 0.0197 memory: 8198 grad_norm: 7.3739 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/08/04 00:31:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:31:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:31:06 - mmengine - INFO - Epoch(train) [223][1879/1879] lr: 1.0000e-04 eta: 4:55:52 time: 0.2593 data_time: 0.0160 memory: 8198 grad_norm: 7.5417 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9147 loss: 0.9147 2022/08/04 00:31:14 - mmengine - INFO - Epoch(train) [224][20/1879] lr: 1.0000e-04 eta: 4:55:41 time: 0.4094 data_time: 0.1083 memory: 8198 grad_norm: 7.2269 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7936 loss: 0.7936 2022/08/04 00:31:20 - mmengine - INFO - Epoch(train) [224][40/1879] lr: 1.0000e-04 eta: 4:55:35 time: 0.2901 data_time: 0.0186 memory: 8198 grad_norm: 7.2650 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9985 loss: 0.9985 2022/08/04 00:31:26 - mmengine - INFO - Epoch(train) [224][60/1879] lr: 1.0000e-04 eta: 4:55:29 time: 0.2966 data_time: 0.0266 memory: 8198 grad_norm: 7.3412 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8182 loss: 0.8182 2022/08/04 00:31:32 - mmengine - INFO - Epoch(train) [224][80/1879] lr: 1.0000e-04 eta: 4:55:24 time: 0.2989 data_time: 0.0194 memory: 8198 grad_norm: 7.0543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0146 loss: 1.0146 2022/08/04 00:31:38 - mmengine - INFO - Epoch(train) [224][100/1879] lr: 1.0000e-04 eta: 4:55:18 time: 0.2867 data_time: 0.0235 memory: 8198 grad_norm: 7.3639 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9448 loss: 0.9448 2022/08/04 00:31:44 - mmengine - INFO - Epoch(train) [224][120/1879] lr: 1.0000e-04 eta: 4:55:12 time: 0.2863 data_time: 0.0222 memory: 8198 grad_norm: 7.1762 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9823 loss: 0.9823 2022/08/04 00:31:50 - mmengine - INFO - Epoch(train) [224][140/1879] lr: 1.0000e-04 eta: 4:55:06 time: 0.2922 data_time: 0.0287 memory: 8198 grad_norm: 7.3909 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0351 loss: 1.0351 2022/08/04 00:31:55 - mmengine - INFO - Epoch(train) [224][160/1879] lr: 1.0000e-04 eta: 4:55:01 time: 0.2871 data_time: 0.0249 memory: 8198 grad_norm: 7.1668 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9192 loss: 0.9192 2022/08/04 00:32:01 - mmengine - INFO - Epoch(train) [224][180/1879] lr: 1.0000e-04 eta: 4:54:55 time: 0.2876 data_time: 0.0219 memory: 8198 grad_norm: 7.3136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/08/04 00:32:07 - mmengine - INFO - Epoch(train) [224][200/1879] lr: 1.0000e-04 eta: 4:54:49 time: 0.2866 data_time: 0.0200 memory: 8198 grad_norm: 7.4799 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8987 loss: 0.8987 2022/08/04 00:32:13 - mmengine - INFO - Epoch(train) [224][220/1879] lr: 1.0000e-04 eta: 4:54:44 time: 0.3024 data_time: 0.0259 memory: 8198 grad_norm: 7.1999 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9493 loss: 0.9493 2022/08/04 00:32:19 - mmengine - INFO - Epoch(train) [224][240/1879] lr: 1.0000e-04 eta: 4:54:38 time: 0.2827 data_time: 0.0213 memory: 8198 grad_norm: 7.2899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9930 loss: 0.9930 2022/08/04 00:32:25 - mmengine - INFO - Epoch(train) [224][260/1879] lr: 1.0000e-04 eta: 4:54:32 time: 0.2921 data_time: 0.0266 memory: 8198 grad_norm: 7.2743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/08/04 00:32:30 - mmengine - INFO - Epoch(train) [224][280/1879] lr: 1.0000e-04 eta: 4:54:26 time: 0.2862 data_time: 0.0229 memory: 8198 grad_norm: 7.2646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8109 loss: 0.8109 2022/08/04 00:32:36 - mmengine - INFO - Epoch(train) [224][300/1879] lr: 1.0000e-04 eta: 4:54:21 time: 0.2903 data_time: 0.0230 memory: 8198 grad_norm: 7.0770 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1053 loss: 1.1053 2022/08/04 00:32:42 - mmengine - INFO - Epoch(train) [224][320/1879] lr: 1.0000e-04 eta: 4:54:15 time: 0.2975 data_time: 0.0204 memory: 8198 grad_norm: 7.3519 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8332 loss: 0.8332 2022/08/04 00:32:48 - mmengine - INFO - Epoch(train) [224][340/1879] lr: 1.0000e-04 eta: 4:54:09 time: 0.2854 data_time: 0.0256 memory: 8198 grad_norm: 7.4035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0448 loss: 1.0448 2022/08/04 00:32:54 - mmengine - INFO - Epoch(train) [224][360/1879] lr: 1.0000e-04 eta: 4:54:04 time: 0.2931 data_time: 0.0205 memory: 8198 grad_norm: 7.5366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8407 loss: 0.8407 2022/08/04 00:33:00 - mmengine - INFO - Epoch(train) [224][380/1879] lr: 1.0000e-04 eta: 4:53:58 time: 0.2871 data_time: 0.0241 memory: 8198 grad_norm: 7.3226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/04 00:33:06 - mmengine - INFO - Epoch(train) [224][400/1879] lr: 1.0000e-04 eta: 4:53:52 time: 0.2989 data_time: 0.0225 memory: 8198 grad_norm: 7.2238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9723 loss: 0.9723 2022/08/04 00:33:12 - mmengine - INFO - Epoch(train) [224][420/1879] lr: 1.0000e-04 eta: 4:53:47 time: 0.3077 data_time: 0.0215 memory: 8198 grad_norm: 7.4851 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0720 loss: 1.0720 2022/08/04 00:33:17 - mmengine - INFO - Epoch(train) [224][440/1879] lr: 1.0000e-04 eta: 4:53:41 time: 0.2841 data_time: 0.0202 memory: 8198 grad_norm: 7.4113 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7818 loss: 0.7818 2022/08/04 00:33:23 - mmengine - INFO - Epoch(train) [224][460/1879] lr: 1.0000e-04 eta: 4:53:35 time: 0.2860 data_time: 0.0211 memory: 8198 grad_norm: 7.4210 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1548 loss: 1.1548 2022/08/04 00:33:29 - mmengine - INFO - Epoch(train) [224][480/1879] lr: 1.0000e-04 eta: 4:53:29 time: 0.2839 data_time: 0.0187 memory: 8198 grad_norm: 7.3830 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0148 loss: 1.0148 2022/08/04 00:33:35 - mmengine - INFO - Epoch(train) [224][500/1879] lr: 1.0000e-04 eta: 4:53:24 time: 0.2957 data_time: 0.0268 memory: 8198 grad_norm: 7.2523 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0311 loss: 1.0311 2022/08/04 00:33:41 - mmengine - INFO - Epoch(train) [224][520/1879] lr: 1.0000e-04 eta: 4:53:18 time: 0.2874 data_time: 0.0234 memory: 8198 grad_norm: 7.3497 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0991 loss: 1.0991 2022/08/04 00:33:46 - mmengine - INFO - Epoch(train) [224][540/1879] lr: 1.0000e-04 eta: 4:53:12 time: 0.2860 data_time: 0.0236 memory: 8198 grad_norm: 6.9959 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9898 loss: 0.9898 2022/08/04 00:33:52 - mmengine - INFO - Epoch(train) [224][560/1879] lr: 1.0000e-04 eta: 4:53:06 time: 0.2894 data_time: 0.0233 memory: 8198 grad_norm: 7.2518 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/08/04 00:33:58 - mmengine - INFO - Epoch(train) [224][580/1879] lr: 1.0000e-04 eta: 4:53:01 time: 0.2880 data_time: 0.0234 memory: 8198 grad_norm: 7.4774 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8602 loss: 0.8602 2022/08/04 00:34:04 - mmengine - INFO - Epoch(train) [224][600/1879] lr: 1.0000e-04 eta: 4:52:55 time: 0.2907 data_time: 0.0263 memory: 8198 grad_norm: 7.1357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9032 loss: 0.9032 2022/08/04 00:34:10 - mmengine - INFO - Epoch(train) [224][620/1879] lr: 1.0000e-04 eta: 4:52:49 time: 0.2846 data_time: 0.0219 memory: 8198 grad_norm: 7.2275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7817 loss: 0.7817 2022/08/04 00:34:15 - mmengine - INFO - Epoch(train) [224][640/1879] lr: 1.0000e-04 eta: 4:52:44 time: 0.2918 data_time: 0.0255 memory: 8198 grad_norm: 7.5197 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8785 loss: 0.8785 2022/08/04 00:34:21 - mmengine - INFO - Epoch(train) [224][660/1879] lr: 1.0000e-04 eta: 4:52:38 time: 0.2890 data_time: 0.0213 memory: 8198 grad_norm: 7.5600 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0171 loss: 1.0171 2022/08/04 00:34:27 - mmengine - INFO - Epoch(train) [224][680/1879] lr: 1.0000e-04 eta: 4:52:32 time: 0.2837 data_time: 0.0237 memory: 8198 grad_norm: 7.0417 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/08/04 00:34:33 - mmengine - INFO - Epoch(train) [224][700/1879] lr: 1.0000e-04 eta: 4:52:26 time: 0.2903 data_time: 0.0233 memory: 8198 grad_norm: 7.1814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9909 loss: 0.9909 2022/08/04 00:34:39 - mmengine - INFO - Epoch(train) [224][720/1879] lr: 1.0000e-04 eta: 4:52:21 time: 0.2880 data_time: 0.0223 memory: 8198 grad_norm: 7.1991 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8408 loss: 0.8408 2022/08/04 00:34:44 - mmengine - INFO - Epoch(train) [224][740/1879] lr: 1.0000e-04 eta: 4:52:15 time: 0.2868 data_time: 0.0232 memory: 8198 grad_norm: 7.4230 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9183 loss: 0.9183 2022/08/04 00:34:50 - mmengine - INFO - Epoch(train) [224][760/1879] lr: 1.0000e-04 eta: 4:52:09 time: 0.2854 data_time: 0.0195 memory: 8198 grad_norm: 7.4730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9465 loss: 0.9465 2022/08/04 00:34:56 - mmengine - INFO - Epoch(train) [224][780/1879] lr: 1.0000e-04 eta: 4:52:04 time: 0.2998 data_time: 0.0234 memory: 8198 grad_norm: 7.3179 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8359 loss: 0.8359 2022/08/04 00:35:02 - mmengine - INFO - Epoch(train) [224][800/1879] lr: 1.0000e-04 eta: 4:51:58 time: 0.2849 data_time: 0.0191 memory: 8198 grad_norm: 7.2274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0868 loss: 1.0868 2022/08/04 00:35:08 - mmengine - INFO - Epoch(train) [224][820/1879] lr: 1.0000e-04 eta: 4:51:52 time: 0.2865 data_time: 0.0202 memory: 8198 grad_norm: 7.3021 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0938 loss: 1.0938 2022/08/04 00:35:13 - mmengine - INFO - Epoch(train) [224][840/1879] lr: 1.0000e-04 eta: 4:51:46 time: 0.2909 data_time: 0.0201 memory: 8198 grad_norm: 7.2785 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8354 loss: 0.8354 2022/08/04 00:35:19 - mmengine - INFO - Epoch(train) [224][860/1879] lr: 1.0000e-04 eta: 4:51:41 time: 0.2867 data_time: 0.0231 memory: 8198 grad_norm: 7.1459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/08/04 00:35:25 - mmengine - INFO - Epoch(train) [224][880/1879] lr: 1.0000e-04 eta: 4:51:35 time: 0.2845 data_time: 0.0189 memory: 8198 grad_norm: 7.3765 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9952 loss: 0.9952 2022/08/04 00:35:31 - mmengine - INFO - Epoch(train) [224][900/1879] lr: 1.0000e-04 eta: 4:51:29 time: 0.2861 data_time: 0.0217 memory: 8198 grad_norm: 7.3451 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8722 loss: 0.8722 2022/08/04 00:35:37 - mmengine - INFO - Epoch(train) [224][920/1879] lr: 1.0000e-04 eta: 4:51:24 time: 0.2917 data_time: 0.0235 memory: 8198 grad_norm: 7.3597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1259 loss: 1.1259 2022/08/04 00:35:42 - mmengine - INFO - Epoch(train) [224][940/1879] lr: 1.0000e-04 eta: 4:51:18 time: 0.2879 data_time: 0.0241 memory: 8198 grad_norm: 7.0714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7879 loss: 0.7879 2022/08/04 00:35:48 - mmengine - INFO - Epoch(train) [224][960/1879] lr: 1.0000e-04 eta: 4:51:12 time: 0.2825 data_time: 0.0220 memory: 8198 grad_norm: 7.1175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8758 loss: 0.8758 2022/08/04 00:35:54 - mmengine - INFO - Epoch(train) [224][980/1879] lr: 1.0000e-04 eta: 4:51:06 time: 0.2976 data_time: 0.0228 memory: 8198 grad_norm: 7.0328 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/04 00:35:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:36:00 - mmengine - INFO - Epoch(train) [224][1000/1879] lr: 1.0000e-04 eta: 4:51:01 time: 0.2909 data_time: 0.0240 memory: 8198 grad_norm: 7.2852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8763 loss: 0.8763 2022/08/04 00:36:06 - mmengine - INFO - Epoch(train) [224][1020/1879] lr: 1.0000e-04 eta: 4:50:55 time: 0.3035 data_time: 0.0208 memory: 8198 grad_norm: 7.5860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9458 loss: 0.9458 2022/08/04 00:36:12 - mmengine - INFO - Epoch(train) [224][1040/1879] lr: 1.0000e-04 eta: 4:50:49 time: 0.3067 data_time: 0.0191 memory: 8198 grad_norm: 7.4445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9796 loss: 0.9796 2022/08/04 00:36:18 - mmengine - INFO - Epoch(train) [224][1060/1879] lr: 1.0000e-04 eta: 4:50:44 time: 0.2826 data_time: 0.0218 memory: 8198 grad_norm: 7.1821 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/04 00:36:24 - mmengine - INFO - Epoch(train) [224][1080/1879] lr: 1.0000e-04 eta: 4:50:38 time: 0.2865 data_time: 0.0216 memory: 8198 grad_norm: 7.5829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0196 loss: 1.0196 2022/08/04 00:36:29 - mmengine - INFO - Epoch(train) [224][1100/1879] lr: 1.0000e-04 eta: 4:50:32 time: 0.2849 data_time: 0.0224 memory: 8198 grad_norm: 7.1464 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8941 loss: 0.8941 2022/08/04 00:36:35 - mmengine - INFO - Epoch(train) [224][1120/1879] lr: 1.0000e-04 eta: 4:50:26 time: 0.2859 data_time: 0.0179 memory: 8198 grad_norm: 7.2598 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0022 loss: 1.0022 2022/08/04 00:36:41 - mmengine - INFO - Epoch(train) [224][1140/1879] lr: 1.0000e-04 eta: 4:50:21 time: 0.2925 data_time: 0.0240 memory: 8198 grad_norm: 7.3976 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0113 loss: 1.0113 2022/08/04 00:36:47 - mmengine - INFO - Epoch(train) [224][1160/1879] lr: 1.0000e-04 eta: 4:50:15 time: 0.2870 data_time: 0.0190 memory: 8198 grad_norm: 7.3692 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9789 loss: 0.9789 2022/08/04 00:36:52 - mmengine - INFO - Epoch(train) [224][1180/1879] lr: 1.0000e-04 eta: 4:50:09 time: 0.2872 data_time: 0.0234 memory: 8198 grad_norm: 7.3182 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9574 loss: 0.9574 2022/08/04 00:36:58 - mmengine - INFO - Epoch(train) [224][1200/1879] lr: 1.0000e-04 eta: 4:50:04 time: 0.2863 data_time: 0.0217 memory: 8198 grad_norm: 7.4633 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9058 loss: 0.9058 2022/08/04 00:37:04 - mmengine - INFO - Epoch(train) [224][1220/1879] lr: 1.0000e-04 eta: 4:49:58 time: 0.2871 data_time: 0.0207 memory: 8198 grad_norm: 7.4540 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0866 loss: 1.0866 2022/08/04 00:37:10 - mmengine - INFO - Epoch(train) [224][1240/1879] lr: 1.0000e-04 eta: 4:49:52 time: 0.2881 data_time: 0.0235 memory: 8198 grad_norm: 7.3022 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0969 loss: 1.0969 2022/08/04 00:37:16 - mmengine - INFO - Epoch(train) [224][1260/1879] lr: 1.0000e-04 eta: 4:49:46 time: 0.2880 data_time: 0.0189 memory: 8198 grad_norm: 7.4106 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9357 loss: 0.9357 2022/08/04 00:37:21 - mmengine - INFO - Epoch(train) [224][1280/1879] lr: 1.0000e-04 eta: 4:49:41 time: 0.2931 data_time: 0.0219 memory: 8198 grad_norm: 7.2123 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8838 loss: 0.8838 2022/08/04 00:37:27 - mmengine - INFO - Epoch(train) [224][1300/1879] lr: 1.0000e-04 eta: 4:49:35 time: 0.2880 data_time: 0.0261 memory: 8198 grad_norm: 7.3057 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/04 00:37:33 - mmengine - INFO - Epoch(train) [224][1320/1879] lr: 1.0000e-04 eta: 4:49:29 time: 0.2877 data_time: 0.0245 memory: 8198 grad_norm: 7.4494 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0117 loss: 1.0117 2022/08/04 00:37:39 - mmengine - INFO - Epoch(train) [224][1340/1879] lr: 1.0000e-04 eta: 4:49:24 time: 0.2874 data_time: 0.0202 memory: 8198 grad_norm: 7.3410 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0179 loss: 1.0179 2022/08/04 00:37:45 - mmengine - INFO - Epoch(train) [224][1360/1879] lr: 1.0000e-04 eta: 4:49:18 time: 0.2878 data_time: 0.0184 memory: 8198 grad_norm: 7.3543 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9949 loss: 0.9949 2022/08/04 00:37:50 - mmengine - INFO - Epoch(train) [224][1380/1879] lr: 1.0000e-04 eta: 4:49:12 time: 0.2859 data_time: 0.0257 memory: 8198 grad_norm: 7.4293 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9830 loss: 0.9830 2022/08/04 00:37:56 - mmengine - INFO - Epoch(train) [224][1400/1879] lr: 1.0000e-04 eta: 4:49:06 time: 0.2865 data_time: 0.0158 memory: 8198 grad_norm: 7.1116 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0434 loss: 1.0434 2022/08/04 00:38:02 - mmengine - INFO - Epoch(train) [224][1420/1879] lr: 1.0000e-04 eta: 4:49:01 time: 0.3014 data_time: 0.0265 memory: 8198 grad_norm: 7.2437 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9572 loss: 0.9572 2022/08/04 00:38:08 - mmengine - INFO - Epoch(train) [224][1440/1879] lr: 1.0000e-04 eta: 4:48:55 time: 0.2844 data_time: 0.0233 memory: 8198 grad_norm: 7.3865 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/08/04 00:38:14 - mmengine - INFO - Epoch(train) [224][1460/1879] lr: 1.0000e-04 eta: 4:48:49 time: 0.2875 data_time: 0.0218 memory: 8198 grad_norm: 7.3475 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9791 loss: 0.9791 2022/08/04 00:38:19 - mmengine - INFO - Epoch(train) [224][1480/1879] lr: 1.0000e-04 eta: 4:48:44 time: 0.2847 data_time: 0.0247 memory: 8198 grad_norm: 7.1439 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8863 loss: 0.8863 2022/08/04 00:38:25 - mmengine - INFO - Epoch(train) [224][1500/1879] lr: 1.0000e-04 eta: 4:48:38 time: 0.2871 data_time: 0.0192 memory: 8198 grad_norm: 7.1829 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8991 loss: 0.8991 2022/08/04 00:38:31 - mmengine - INFO - Epoch(train) [224][1520/1879] lr: 1.0000e-04 eta: 4:48:32 time: 0.2879 data_time: 0.0211 memory: 8198 grad_norm: 7.6034 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9719 loss: 0.9719 2022/08/04 00:38:37 - mmengine - INFO - Epoch(train) [224][1540/1879] lr: 1.0000e-04 eta: 4:48:26 time: 0.2948 data_time: 0.0300 memory: 8198 grad_norm: 7.3427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9717 loss: 0.9717 2022/08/04 00:38:43 - mmengine - INFO - Epoch(train) [224][1560/1879] lr: 1.0000e-04 eta: 4:48:21 time: 0.2868 data_time: 0.0217 memory: 8198 grad_norm: 7.5240 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1270 loss: 1.1270 2022/08/04 00:38:48 - mmengine - INFO - Epoch(train) [224][1580/1879] lr: 1.0000e-04 eta: 4:48:15 time: 0.2879 data_time: 0.0256 memory: 8198 grad_norm: 7.6461 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8492 loss: 0.8492 2022/08/04 00:38:54 - mmengine - INFO - Epoch(train) [224][1600/1879] lr: 1.0000e-04 eta: 4:48:09 time: 0.2855 data_time: 0.0204 memory: 8198 grad_norm: 7.2573 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8914 loss: 0.8914 2022/08/04 00:39:00 - mmengine - INFO - Epoch(train) [224][1620/1879] lr: 1.0000e-04 eta: 4:48:03 time: 0.2860 data_time: 0.0221 memory: 8198 grad_norm: 7.4255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9550 loss: 0.9550 2022/08/04 00:39:06 - mmengine - INFO - Epoch(train) [224][1640/1879] lr: 1.0000e-04 eta: 4:47:58 time: 0.3038 data_time: 0.0255 memory: 8198 grad_norm: 7.1236 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/08/04 00:39:12 - mmengine - INFO - Epoch(train) [224][1660/1879] lr: 1.0000e-04 eta: 4:47:52 time: 0.2877 data_time: 0.0193 memory: 8198 grad_norm: 7.3409 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0368 loss: 1.0368 2022/08/04 00:39:18 - mmengine - INFO - Epoch(train) [224][1680/1879] lr: 1.0000e-04 eta: 4:47:46 time: 0.2883 data_time: 0.0200 memory: 8198 grad_norm: 7.1965 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8296 loss: 0.8296 2022/08/04 00:39:23 - mmengine - INFO - Epoch(train) [224][1700/1879] lr: 1.0000e-04 eta: 4:47:41 time: 0.2886 data_time: 0.0259 memory: 8198 grad_norm: 7.3406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/08/04 00:39:29 - mmengine - INFO - Epoch(train) [224][1720/1879] lr: 1.0000e-04 eta: 4:47:35 time: 0.2872 data_time: 0.0250 memory: 8198 grad_norm: 6.9488 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8644 loss: 0.8644 2022/08/04 00:39:35 - mmengine - INFO - Epoch(train) [224][1740/1879] lr: 1.0000e-04 eta: 4:47:29 time: 0.2908 data_time: 0.0218 memory: 8198 grad_norm: 7.0961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8940 loss: 0.8940 2022/08/04 00:39:41 - mmengine - INFO - Epoch(train) [224][1760/1879] lr: 1.0000e-04 eta: 4:47:24 time: 0.2976 data_time: 0.0217 memory: 8198 grad_norm: 7.2551 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8934 loss: 0.8934 2022/08/04 00:39:47 - mmengine - INFO - Epoch(train) [224][1780/1879] lr: 1.0000e-04 eta: 4:47:18 time: 0.2853 data_time: 0.0218 memory: 8198 grad_norm: 7.2312 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/08/04 00:39:53 - mmengine - INFO - Epoch(train) [224][1800/1879] lr: 1.0000e-04 eta: 4:47:12 time: 0.2936 data_time: 0.0225 memory: 8198 grad_norm: 7.5041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0571 loss: 1.0571 2022/08/04 00:39:58 - mmengine - INFO - Epoch(train) [224][1820/1879] lr: 1.0000e-04 eta: 4:47:06 time: 0.2870 data_time: 0.0210 memory: 8198 grad_norm: 7.0658 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0172 loss: 1.0172 2022/08/04 00:40:04 - mmengine - INFO - Epoch(train) [224][1840/1879] lr: 1.0000e-04 eta: 4:47:01 time: 0.2922 data_time: 0.0210 memory: 8198 grad_norm: 7.6887 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0288 loss: 1.0288 2022/08/04 00:40:10 - mmengine - INFO - Epoch(train) [224][1860/1879] lr: 1.0000e-04 eta: 4:46:55 time: 0.2850 data_time: 0.0234 memory: 8198 grad_norm: 7.1665 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9107 loss: 0.9107 2022/08/04 00:40:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:40:15 - mmengine - INFO - Epoch(train) [224][1879/1879] lr: 1.0000e-04 eta: 4:46:55 time: 0.2844 data_time: 0.0148 memory: 8198 grad_norm: 7.4223 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9544 loss: 0.9544 2022/08/04 00:40:16 - mmengine - INFO - Saving checkpoint at 224 epochs 2022/08/04 00:40:25 - mmengine - INFO - Epoch(train) [225][20/1879] lr: 1.0000e-04 eta: 4:46:43 time: 0.3762 data_time: 0.1179 memory: 8198 grad_norm: 7.1325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9973 loss: 0.9973 2022/08/04 00:40:31 - mmengine - INFO - Epoch(train) [225][40/1879] lr: 1.0000e-04 eta: 4:46:38 time: 0.2848 data_time: 0.0207 memory: 8198 grad_norm: 7.2360 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/08/04 00:40:37 - mmengine - INFO - Epoch(train) [225][60/1879] lr: 1.0000e-04 eta: 4:46:32 time: 0.2956 data_time: 0.0318 memory: 8198 grad_norm: 7.3876 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 0.8938 loss: 0.8938 2022/08/04 00:40:43 - mmengine - INFO - Epoch(train) [225][80/1879] lr: 1.0000e-04 eta: 4:46:26 time: 0.2845 data_time: 0.0204 memory: 8198 grad_norm: 7.2203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8534 loss: 0.8534 2022/08/04 00:40:49 - mmengine - INFO - Epoch(train) [225][100/1879] lr: 1.0000e-04 eta: 4:46:20 time: 0.2857 data_time: 0.0240 memory: 8198 grad_norm: 7.2192 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8942 loss: 0.8942 2022/08/04 00:40:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:40:54 - mmengine - INFO - Epoch(train) [225][120/1879] lr: 1.0000e-04 eta: 4:46:15 time: 0.2937 data_time: 0.0194 memory: 8198 grad_norm: 7.4474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/08/04 00:41:00 - mmengine - INFO - Epoch(train) [225][140/1879] lr: 1.0000e-04 eta: 4:46:09 time: 0.2852 data_time: 0.0270 memory: 8198 grad_norm: 6.8795 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8885 loss: 0.8885 2022/08/04 00:41:06 - mmengine - INFO - Epoch(train) [225][160/1879] lr: 1.0000e-04 eta: 4:46:03 time: 0.2848 data_time: 0.0192 memory: 8198 grad_norm: 7.3720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0326 loss: 1.0326 2022/08/04 00:41:12 - mmengine - INFO - Epoch(train) [225][180/1879] lr: 1.0000e-04 eta: 4:45:57 time: 0.2877 data_time: 0.0209 memory: 8198 grad_norm: 7.0360 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9309 loss: 0.9309 2022/08/04 00:41:17 - mmengine - INFO - Epoch(train) [225][200/1879] lr: 1.0000e-04 eta: 4:45:52 time: 0.2877 data_time: 0.0215 memory: 8198 grad_norm: 7.3691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0536 loss: 1.0536 2022/08/04 00:41:23 - mmengine - INFO - Epoch(train) [225][220/1879] lr: 1.0000e-04 eta: 4:45:46 time: 0.2866 data_time: 0.0215 memory: 8198 grad_norm: 7.3553 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8693 loss: 0.8693 2022/08/04 00:41:29 - mmengine - INFO - Epoch(train) [225][240/1879] lr: 1.0000e-04 eta: 4:45:40 time: 0.2847 data_time: 0.0189 memory: 8198 grad_norm: 7.6181 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9470 loss: 0.9470 2022/08/04 00:41:35 - mmengine - INFO - Epoch(train) [225][260/1879] lr: 1.0000e-04 eta: 4:45:35 time: 0.2925 data_time: 0.0270 memory: 8198 grad_norm: 7.2924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/08/04 00:41:41 - mmengine - INFO - Epoch(train) [225][280/1879] lr: 1.0000e-04 eta: 4:45:29 time: 0.2863 data_time: 0.0213 memory: 8198 grad_norm: 7.2126 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9401 loss: 0.9401 2022/08/04 00:41:46 - mmengine - INFO - Epoch(train) [225][300/1879] lr: 1.0000e-04 eta: 4:45:23 time: 0.2877 data_time: 0.0241 memory: 8198 grad_norm: 7.2383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0602 loss: 1.0602 2022/08/04 00:41:52 - mmengine - INFO - Epoch(train) [225][320/1879] lr: 1.0000e-04 eta: 4:45:17 time: 0.2847 data_time: 0.0195 memory: 8198 grad_norm: 6.9980 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9274 loss: 0.9274 2022/08/04 00:41:58 - mmengine - INFO - Epoch(train) [225][340/1879] lr: 1.0000e-04 eta: 4:45:12 time: 0.2870 data_time: 0.0240 memory: 8198 grad_norm: 6.9572 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/08/04 00:42:04 - mmengine - INFO - Epoch(train) [225][360/1879] lr: 1.0000e-04 eta: 4:45:06 time: 0.2835 data_time: 0.0194 memory: 8198 grad_norm: 7.3448 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9413 loss: 0.9413 2022/08/04 00:42:09 - mmengine - INFO - Epoch(train) [225][380/1879] lr: 1.0000e-04 eta: 4:45:00 time: 0.2883 data_time: 0.0210 memory: 8198 grad_norm: 7.5435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0462 loss: 1.0462 2022/08/04 00:42:15 - mmengine - INFO - Epoch(train) [225][400/1879] lr: 1.0000e-04 eta: 4:44:55 time: 0.2855 data_time: 0.0207 memory: 8198 grad_norm: 7.3950 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8134 loss: 0.8134 2022/08/04 00:42:21 - mmengine - INFO - Epoch(train) [225][420/1879] lr: 1.0000e-04 eta: 4:44:49 time: 0.2868 data_time: 0.0204 memory: 8198 grad_norm: 7.3885 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9309 loss: 0.9309 2022/08/04 00:42:27 - mmengine - INFO - Epoch(train) [225][440/1879] lr: 1.0000e-04 eta: 4:44:43 time: 0.2929 data_time: 0.0275 memory: 8198 grad_norm: 7.3744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8562 loss: 0.8562 2022/08/04 00:42:33 - mmengine - INFO - Epoch(train) [225][460/1879] lr: 1.0000e-04 eta: 4:44:37 time: 0.2920 data_time: 0.0217 memory: 8198 grad_norm: 7.4214 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9354 loss: 0.9354 2022/08/04 00:42:38 - mmengine - INFO - Epoch(train) [225][480/1879] lr: 1.0000e-04 eta: 4:44:32 time: 0.2847 data_time: 0.0244 memory: 8198 grad_norm: 7.1045 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9038 loss: 0.9038 2022/08/04 00:42:44 - mmengine - INFO - Epoch(train) [225][500/1879] lr: 1.0000e-04 eta: 4:44:26 time: 0.2889 data_time: 0.0248 memory: 8198 grad_norm: 7.3224 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9189 loss: 0.9189 2022/08/04 00:42:50 - mmengine - INFO - Epoch(train) [225][520/1879] lr: 1.0000e-04 eta: 4:44:20 time: 0.2854 data_time: 0.0214 memory: 8198 grad_norm: 7.5223 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9658 loss: 0.9658 2022/08/04 00:42:56 - mmengine - INFO - Epoch(train) [225][540/1879] lr: 1.0000e-04 eta: 4:44:15 time: 0.2889 data_time: 0.0246 memory: 8198 grad_norm: 7.4150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.7613 loss: 0.7613 2022/08/04 00:43:02 - mmengine - INFO - Epoch(train) [225][560/1879] lr: 1.0000e-04 eta: 4:44:09 time: 0.2882 data_time: 0.0226 memory: 8198 grad_norm: 7.3737 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9870 loss: 0.9870 2022/08/04 00:43:07 - mmengine - INFO - Epoch(train) [225][580/1879] lr: 1.0000e-04 eta: 4:44:03 time: 0.2835 data_time: 0.0196 memory: 8198 grad_norm: 7.3011 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9187 loss: 0.9187 2022/08/04 00:43:13 - mmengine - INFO - Epoch(train) [225][600/1879] lr: 1.0000e-04 eta: 4:43:57 time: 0.2876 data_time: 0.0182 memory: 8198 grad_norm: 7.4136 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8679 loss: 0.8679 2022/08/04 00:43:19 - mmengine - INFO - Epoch(train) [225][620/1879] lr: 1.0000e-04 eta: 4:43:52 time: 0.2873 data_time: 0.0249 memory: 8198 grad_norm: 7.3212 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9192 loss: 0.9192 2022/08/04 00:43:25 - mmengine - INFO - Epoch(train) [225][640/1879] lr: 1.0000e-04 eta: 4:43:46 time: 0.2885 data_time: 0.0229 memory: 8198 grad_norm: 7.0929 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0299 loss: 1.0299 2022/08/04 00:43:30 - mmengine - INFO - Epoch(train) [225][660/1879] lr: 1.0000e-04 eta: 4:43:40 time: 0.2875 data_time: 0.0266 memory: 8198 grad_norm: 7.5221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9479 loss: 0.9479 2022/08/04 00:43:36 - mmengine - INFO - Epoch(train) [225][680/1879] lr: 1.0000e-04 eta: 4:43:34 time: 0.2856 data_time: 0.0204 memory: 8198 grad_norm: 7.3636 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9572 loss: 0.9572 2022/08/04 00:43:42 - mmengine - INFO - Epoch(train) [225][700/1879] lr: 1.0000e-04 eta: 4:43:29 time: 0.2874 data_time: 0.0203 memory: 8198 grad_norm: 7.2451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1497 loss: 1.1497 2022/08/04 00:43:48 - mmengine - INFO - Epoch(train) [225][720/1879] lr: 1.0000e-04 eta: 4:43:23 time: 0.2866 data_time: 0.0231 memory: 8198 grad_norm: 7.5915 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1201 loss: 1.1201 2022/08/04 00:43:54 - mmengine - INFO - Epoch(train) [225][740/1879] lr: 1.0000e-04 eta: 4:43:17 time: 0.2979 data_time: 0.0224 memory: 8198 grad_norm: 6.9716 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9997 loss: 0.9997 2022/08/04 00:43:59 - mmengine - INFO - Epoch(train) [225][760/1879] lr: 1.0000e-04 eta: 4:43:12 time: 0.2872 data_time: 0.0217 memory: 8198 grad_norm: 7.2585 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9207 loss: 0.9207 2022/08/04 00:44:05 - mmengine - INFO - Epoch(train) [225][780/1879] lr: 1.0000e-04 eta: 4:43:06 time: 0.2867 data_time: 0.0247 memory: 8198 grad_norm: 7.2325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8222 loss: 0.8222 2022/08/04 00:44:11 - mmengine - INFO - Epoch(train) [225][800/1879] lr: 1.0000e-04 eta: 4:43:00 time: 0.2868 data_time: 0.0249 memory: 8198 grad_norm: 7.2583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7479 loss: 0.7479 2022/08/04 00:44:17 - mmengine - INFO - Epoch(train) [225][820/1879] lr: 1.0000e-04 eta: 4:42:54 time: 0.2939 data_time: 0.0246 memory: 8198 grad_norm: 7.3969 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1108 loss: 1.1108 2022/08/04 00:44:23 - mmengine - INFO - Epoch(train) [225][840/1879] lr: 1.0000e-04 eta: 4:42:49 time: 0.2836 data_time: 0.0192 memory: 8198 grad_norm: 7.4375 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0111 loss: 1.0111 2022/08/04 00:44:28 - mmengine - INFO - Epoch(train) [225][860/1879] lr: 1.0000e-04 eta: 4:42:43 time: 0.2876 data_time: 0.0218 memory: 8198 grad_norm: 7.1350 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8408 loss: 0.8408 2022/08/04 00:44:34 - mmengine - INFO - Epoch(train) [225][880/1879] lr: 1.0000e-04 eta: 4:42:37 time: 0.2951 data_time: 0.0224 memory: 8198 grad_norm: 7.2666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/08/04 00:44:40 - mmengine - INFO - Epoch(train) [225][900/1879] lr: 1.0000e-04 eta: 4:42:32 time: 0.2864 data_time: 0.0257 memory: 8198 grad_norm: 7.4481 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8501 loss: 0.8501 2022/08/04 00:44:46 - mmengine - INFO - Epoch(train) [225][920/1879] lr: 1.0000e-04 eta: 4:42:26 time: 0.2849 data_time: 0.0255 memory: 8198 grad_norm: 7.0510 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8101 loss: 0.8101 2022/08/04 00:44:52 - mmengine - INFO - Epoch(train) [225][940/1879] lr: 1.0000e-04 eta: 4:42:20 time: 0.2849 data_time: 0.0228 memory: 8198 grad_norm: 7.1680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9065 loss: 0.9065 2022/08/04 00:44:58 - mmengine - INFO - Epoch(train) [225][960/1879] lr: 1.0000e-04 eta: 4:42:14 time: 0.2977 data_time: 0.0249 memory: 8198 grad_norm: 7.5216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0819 loss: 1.0819 2022/08/04 00:45:03 - mmengine - INFO - Epoch(train) [225][980/1879] lr: 1.0000e-04 eta: 4:42:09 time: 0.2946 data_time: 0.0238 memory: 8198 grad_norm: 7.0402 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7553 loss: 0.7553 2022/08/04 00:45:09 - mmengine - INFO - Epoch(train) [225][1000/1879] lr: 1.0000e-04 eta: 4:42:03 time: 0.2847 data_time: 0.0217 memory: 8198 grad_norm: 7.3468 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0137 loss: 1.0137 2022/08/04 00:45:15 - mmengine - INFO - Epoch(train) [225][1020/1879] lr: 1.0000e-04 eta: 4:41:57 time: 0.2932 data_time: 0.0257 memory: 8198 grad_norm: 7.3398 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0806 loss: 1.0806 2022/08/04 00:45:21 - mmengine - INFO - Epoch(train) [225][1040/1879] lr: 1.0000e-04 eta: 4:41:52 time: 0.2885 data_time: 0.0257 memory: 8198 grad_norm: 7.2660 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8452 loss: 0.8452 2022/08/04 00:45:27 - mmengine - INFO - Epoch(train) [225][1060/1879] lr: 1.0000e-04 eta: 4:41:46 time: 0.2888 data_time: 0.0269 memory: 8198 grad_norm: 7.4697 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0467 loss: 1.0467 2022/08/04 00:45:33 - mmengine - INFO - Epoch(train) [225][1080/1879] lr: 1.0000e-04 eta: 4:41:40 time: 0.2903 data_time: 0.0222 memory: 8198 grad_norm: 7.3577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/08/04 00:45:38 - mmengine - INFO - Epoch(train) [225][1100/1879] lr: 1.0000e-04 eta: 4:41:34 time: 0.2855 data_time: 0.0248 memory: 8198 grad_norm: 7.2398 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7839 loss: 0.7839 2022/08/04 00:45:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:45:44 - mmengine - INFO - Epoch(train) [225][1120/1879] lr: 1.0000e-04 eta: 4:41:29 time: 0.2886 data_time: 0.0219 memory: 8198 grad_norm: 7.3925 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0338 loss: 1.0338 2022/08/04 00:45:50 - mmengine - INFO - Epoch(train) [225][1140/1879] lr: 1.0000e-04 eta: 4:41:23 time: 0.3115 data_time: 0.0214 memory: 8198 grad_norm: 7.3061 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/08/04 00:45:56 - mmengine - INFO - Epoch(train) [225][1160/1879] lr: 1.0000e-04 eta: 4:41:17 time: 0.2887 data_time: 0.0176 memory: 8198 grad_norm: 7.0823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8200 loss: 0.8200 2022/08/04 00:46:02 - mmengine - INFO - Epoch(train) [225][1180/1879] lr: 1.0000e-04 eta: 4:41:12 time: 0.2932 data_time: 0.0209 memory: 8198 grad_norm: 7.0877 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7839 loss: 0.7839 2022/08/04 00:46:08 - mmengine - INFO - Epoch(train) [225][1200/1879] lr: 1.0000e-04 eta: 4:41:06 time: 0.2852 data_time: 0.0235 memory: 8198 grad_norm: 7.4049 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/08/04 00:46:14 - mmengine - INFO - Epoch(train) [225][1220/1879] lr: 1.0000e-04 eta: 4:41:00 time: 0.2888 data_time: 0.0230 memory: 8198 grad_norm: 7.3091 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0110 loss: 1.0110 2022/08/04 00:46:19 - mmengine - INFO - Epoch(train) [225][1240/1879] lr: 1.0000e-04 eta: 4:40:54 time: 0.2846 data_time: 0.0212 memory: 8198 grad_norm: 7.3773 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9159 loss: 0.9159 2022/08/04 00:46:25 - mmengine - INFO - Epoch(train) [225][1260/1879] lr: 1.0000e-04 eta: 4:40:49 time: 0.2923 data_time: 0.0267 memory: 8198 grad_norm: 7.3017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9292 loss: 0.9292 2022/08/04 00:46:31 - mmengine - INFO - Epoch(train) [225][1280/1879] lr: 1.0000e-04 eta: 4:40:43 time: 0.2861 data_time: 0.0167 memory: 8198 grad_norm: 7.6684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0655 loss: 1.0655 2022/08/04 00:46:37 - mmengine - INFO - Epoch(train) [225][1300/1879] lr: 1.0000e-04 eta: 4:40:37 time: 0.2882 data_time: 0.0253 memory: 8198 grad_norm: 7.5227 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9179 loss: 0.9179 2022/08/04 00:46:43 - mmengine - INFO - Epoch(train) [225][1320/1879] lr: 1.0000e-04 eta: 4:40:32 time: 0.2931 data_time: 0.0255 memory: 8198 grad_norm: 7.1793 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8721 loss: 0.8721 2022/08/04 00:46:48 - mmengine - INFO - Epoch(train) [225][1340/1879] lr: 1.0000e-04 eta: 4:40:26 time: 0.2859 data_time: 0.0208 memory: 8198 grad_norm: 7.2664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9346 loss: 0.9346 2022/08/04 00:46:54 - mmengine - INFO - Epoch(train) [225][1360/1879] lr: 1.0000e-04 eta: 4:40:20 time: 0.2876 data_time: 0.0288 memory: 8198 grad_norm: 7.5137 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0007 loss: 1.0007 2022/08/04 00:47:00 - mmengine - INFO - Epoch(train) [225][1380/1879] lr: 1.0000e-04 eta: 4:40:14 time: 0.2858 data_time: 0.0242 memory: 8198 grad_norm: 7.1417 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8831 loss: 0.8831 2022/08/04 00:47:06 - mmengine - INFO - Epoch(train) [225][1400/1879] lr: 1.0000e-04 eta: 4:40:09 time: 0.2895 data_time: 0.0248 memory: 8198 grad_norm: 7.2635 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9220 loss: 0.9220 2022/08/04 00:47:11 - mmengine - INFO - Epoch(train) [225][1420/1879] lr: 1.0000e-04 eta: 4:40:03 time: 0.2870 data_time: 0.0278 memory: 8198 grad_norm: 7.4400 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/08/04 00:47:17 - mmengine - INFO - Epoch(train) [225][1440/1879] lr: 1.0000e-04 eta: 4:39:57 time: 0.2863 data_time: 0.0215 memory: 8198 grad_norm: 7.2218 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9149 loss: 0.9149 2022/08/04 00:47:23 - mmengine - INFO - Epoch(train) [225][1460/1879] lr: 1.0000e-04 eta: 4:39:52 time: 0.3099 data_time: 0.0249 memory: 8198 grad_norm: 7.6165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1301 loss: 1.1301 2022/08/04 00:47:29 - mmengine - INFO - Epoch(train) [225][1480/1879] lr: 1.0000e-04 eta: 4:39:46 time: 0.2825 data_time: 0.0205 memory: 8198 grad_norm: 7.4447 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9704 loss: 0.9704 2022/08/04 00:47:35 - mmengine - INFO - Epoch(train) [225][1500/1879] lr: 1.0000e-04 eta: 4:39:40 time: 0.2844 data_time: 0.0200 memory: 8198 grad_norm: 7.4949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0569 loss: 1.0569 2022/08/04 00:47:41 - mmengine - INFO - Epoch(train) [225][1520/1879] lr: 1.0000e-04 eta: 4:39:34 time: 0.2864 data_time: 0.0210 memory: 8198 grad_norm: 7.2879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8855 loss: 0.8855 2022/08/04 00:47:46 - mmengine - INFO - Epoch(train) [225][1540/1879] lr: 1.0000e-04 eta: 4:39:29 time: 0.2913 data_time: 0.0260 memory: 8198 grad_norm: 7.4118 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9664 loss: 0.9664 2022/08/04 00:47:52 - mmengine - INFO - Epoch(train) [225][1560/1879] lr: 1.0000e-04 eta: 4:39:23 time: 0.2906 data_time: 0.0254 memory: 8198 grad_norm: 7.2588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8213 loss: 0.8213 2022/08/04 00:47:58 - mmengine - INFO - Epoch(train) [225][1580/1879] lr: 1.0000e-04 eta: 4:39:17 time: 0.2895 data_time: 0.0235 memory: 8198 grad_norm: 7.5245 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/08/04 00:48:04 - mmengine - INFO - Epoch(train) [225][1600/1879] lr: 1.0000e-04 eta: 4:39:12 time: 0.3106 data_time: 0.0231 memory: 8198 grad_norm: 7.3881 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9029 loss: 0.9029 2022/08/04 00:48:10 - mmengine - INFO - Epoch(train) [225][1620/1879] lr: 1.0000e-04 eta: 4:39:06 time: 0.2860 data_time: 0.0214 memory: 8198 grad_norm: 7.3700 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/08/04 00:48:16 - mmengine - INFO - Epoch(train) [225][1640/1879] lr: 1.0000e-04 eta: 4:39:00 time: 0.2887 data_time: 0.0268 memory: 8198 grad_norm: 7.3399 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9690 loss: 0.9690 2022/08/04 00:48:22 - mmengine - INFO - Epoch(train) [225][1660/1879] lr: 1.0000e-04 eta: 4:38:54 time: 0.2874 data_time: 0.0247 memory: 8198 grad_norm: 7.2830 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8465 loss: 0.8465 2022/08/04 00:48:28 - mmengine - INFO - Epoch(train) [225][1680/1879] lr: 1.0000e-04 eta: 4:38:49 time: 0.2917 data_time: 0.0233 memory: 8198 grad_norm: 7.5350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0062 loss: 1.0062 2022/08/04 00:48:33 - mmengine - INFO - Epoch(train) [225][1700/1879] lr: 1.0000e-04 eta: 4:38:43 time: 0.2891 data_time: 0.0223 memory: 8198 grad_norm: 7.2986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/08/04 00:48:39 - mmengine - INFO - Epoch(train) [225][1720/1879] lr: 1.0000e-04 eta: 4:38:37 time: 0.2997 data_time: 0.0235 memory: 8198 grad_norm: 7.4542 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.0443 loss: 1.0443 2022/08/04 00:48:45 - mmengine - INFO - Epoch(train) [225][1740/1879] lr: 1.0000e-04 eta: 4:38:32 time: 0.2839 data_time: 0.0190 memory: 8198 grad_norm: 7.2192 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9243 loss: 0.9243 2022/08/04 00:48:51 - mmengine - INFO - Epoch(train) [225][1760/1879] lr: 1.0000e-04 eta: 4:38:26 time: 0.2876 data_time: 0.0253 memory: 8198 grad_norm: 7.1527 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/04 00:48:57 - mmengine - INFO - Epoch(train) [225][1780/1879] lr: 1.0000e-04 eta: 4:38:20 time: 0.2999 data_time: 0.0221 memory: 8198 grad_norm: 7.2273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8879 loss: 0.8879 2022/08/04 00:49:03 - mmengine - INFO - Epoch(train) [225][1800/1879] lr: 1.0000e-04 eta: 4:38:14 time: 0.2861 data_time: 0.0228 memory: 8198 grad_norm: 7.4033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8300 loss: 0.8300 2022/08/04 00:49:09 - mmengine - INFO - Epoch(train) [225][1820/1879] lr: 1.0000e-04 eta: 4:38:09 time: 0.2892 data_time: 0.0248 memory: 8198 grad_norm: 7.3664 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9980 loss: 0.9980 2022/08/04 00:49:15 - mmengine - INFO - Epoch(train) [225][1840/1879] lr: 1.0000e-04 eta: 4:38:03 time: 0.3038 data_time: 0.0235 memory: 8198 grad_norm: 7.3342 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8848 loss: 0.8848 2022/08/04 00:49:20 - mmengine - INFO - Epoch(train) [225][1860/1879] lr: 1.0000e-04 eta: 4:37:57 time: 0.2855 data_time: 0.0239 memory: 8198 grad_norm: 7.2359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9295 loss: 0.9295 2022/08/04 00:49:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:49:25 - mmengine - INFO - Epoch(train) [225][1879/1879] lr: 1.0000e-04 eta: 4:37:57 time: 0.2601 data_time: 0.0165 memory: 8198 grad_norm: 7.3408 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9979 loss: 0.9979 2022/08/04 00:49:32 - mmengine - INFO - Epoch(val) [225][20/155] eta: 0:00:46 time: 0.3432 data_time: 0.2497 memory: 1514 2022/08/04 00:49:36 - mmengine - INFO - Epoch(val) [225][40/155] eta: 0:00:23 time: 0.2074 data_time: 0.1196 memory: 1514 2022/08/04 00:49:42 - mmengine - INFO - Epoch(val) [225][60/155] eta: 0:00:27 time: 0.2944 data_time: 0.2049 memory: 1514 2022/08/04 00:49:47 - mmengine - INFO - Epoch(val) [225][80/155] eta: 0:00:17 time: 0.2290 data_time: 0.1433 memory: 1514 2022/08/04 00:49:53 - mmengine - INFO - Epoch(val) [225][100/155] eta: 0:00:16 time: 0.3073 data_time: 0.2208 memory: 1514 2022/08/04 00:49:58 - mmengine - INFO - Epoch(val) [225][120/155] eta: 0:00:08 time: 0.2319 data_time: 0.1450 memory: 1514 2022/08/04 00:50:04 - mmengine - INFO - Epoch(val) [225][140/155] eta: 0:00:04 time: 0.3018 data_time: 0.2137 memory: 1514 2022/08/04 00:50:09 - mmengine - INFO - Epoch(val) [225][155/155] acc/top1: 0.6799 acc/top5: 0.8676 acc/mean1: 0.6797 2022/08/04 00:50:17 - mmengine - INFO - Epoch(train) [226][20/1879] lr: 1.0000e-04 eta: 4:37:46 time: 0.4114 data_time: 0.0914 memory: 8198 grad_norm: 7.1921 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.8639 loss: 0.8639 2022/08/04 00:50:24 - mmengine - INFO - Epoch(train) [226][40/1879] lr: 1.0000e-04 eta: 4:37:40 time: 0.3134 data_time: 0.0237 memory: 8198 grad_norm: 7.0243 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0099 loss: 1.0099 2022/08/04 00:50:29 - mmengine - INFO - Epoch(train) [226][60/1879] lr: 1.0000e-04 eta: 4:37:34 time: 0.2842 data_time: 0.0213 memory: 8198 grad_norm: 7.4092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9437 loss: 0.9437 2022/08/04 00:50:35 - mmengine - INFO - Epoch(train) [226][80/1879] lr: 1.0000e-04 eta: 4:37:29 time: 0.2896 data_time: 0.0213 memory: 8198 grad_norm: 7.2538 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/08/04 00:50:41 - mmengine - INFO - Epoch(train) [226][100/1879] lr: 1.0000e-04 eta: 4:37:23 time: 0.2845 data_time: 0.0206 memory: 8198 grad_norm: 7.6711 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8868 loss: 0.8868 2022/08/04 00:50:47 - mmengine - INFO - Epoch(train) [226][120/1879] lr: 1.0000e-04 eta: 4:37:17 time: 0.2878 data_time: 0.0226 memory: 8198 grad_norm: 7.4210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9362 loss: 0.9362 2022/08/04 00:50:52 - mmengine - INFO - Epoch(train) [226][140/1879] lr: 1.0000e-04 eta: 4:37:12 time: 0.2847 data_time: 0.0257 memory: 8198 grad_norm: 7.3474 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8843 loss: 0.8843 2022/08/04 00:50:58 - mmengine - INFO - Epoch(train) [226][160/1879] lr: 1.0000e-04 eta: 4:37:06 time: 0.2870 data_time: 0.0199 memory: 8198 grad_norm: 7.3971 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9129 loss: 0.9129 2022/08/04 00:51:04 - mmengine - INFO - Epoch(train) [226][180/1879] lr: 1.0000e-04 eta: 4:37:00 time: 0.2967 data_time: 0.0266 memory: 8198 grad_norm: 7.2298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9858 loss: 0.9858 2022/08/04 00:51:10 - mmengine - INFO - Epoch(train) [226][200/1879] lr: 1.0000e-04 eta: 4:36:54 time: 0.2839 data_time: 0.0216 memory: 8198 grad_norm: 7.5535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/08/04 00:51:16 - mmengine - INFO - Epoch(train) [226][220/1879] lr: 1.0000e-04 eta: 4:36:49 time: 0.2885 data_time: 0.0291 memory: 8198 grad_norm: 7.2578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/04 00:51:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:51:21 - mmengine - INFO - Epoch(train) [226][240/1879] lr: 1.0000e-04 eta: 4:36:43 time: 0.2882 data_time: 0.0251 memory: 8198 grad_norm: 7.2321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0537 loss: 1.0537 2022/08/04 00:51:27 - mmengine - INFO - Epoch(train) [226][260/1879] lr: 1.0000e-04 eta: 4:36:37 time: 0.2869 data_time: 0.0251 memory: 8198 grad_norm: 7.2046 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0086 loss: 1.0086 2022/08/04 00:51:33 - mmengine - INFO - Epoch(train) [226][280/1879] lr: 1.0000e-04 eta: 4:36:32 time: 0.2941 data_time: 0.0248 memory: 8198 grad_norm: 7.1542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9305 loss: 0.9305 2022/08/04 00:51:39 - mmengine - INFO - Epoch(train) [226][300/1879] lr: 1.0000e-04 eta: 4:36:26 time: 0.2840 data_time: 0.0206 memory: 8198 grad_norm: 7.3284 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/08/04 00:51:45 - mmengine - INFO - Epoch(train) [226][320/1879] lr: 1.0000e-04 eta: 4:36:20 time: 0.2870 data_time: 0.0205 memory: 8198 grad_norm: 7.3187 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0622 loss: 1.0622 2022/08/04 00:51:50 - mmengine - INFO - Epoch(train) [226][340/1879] lr: 1.0000e-04 eta: 4:36:14 time: 0.2872 data_time: 0.0233 memory: 8198 grad_norm: 7.2960 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8250 loss: 0.8250 2022/08/04 00:51:56 - mmengine - INFO - Epoch(train) [226][360/1879] lr: 1.0000e-04 eta: 4:36:09 time: 0.2874 data_time: 0.0233 memory: 8198 grad_norm: 7.5376 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/08/04 00:52:02 - mmengine - INFO - Epoch(train) [226][380/1879] lr: 1.0000e-04 eta: 4:36:03 time: 0.2889 data_time: 0.0196 memory: 8198 grad_norm: 7.1421 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/08/04 00:52:08 - mmengine - INFO - Epoch(train) [226][400/1879] lr: 1.0000e-04 eta: 4:35:57 time: 0.2886 data_time: 0.0204 memory: 8198 grad_norm: 7.3261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/08/04 00:52:14 - mmengine - INFO - Epoch(train) [226][420/1879] lr: 1.0000e-04 eta: 4:35:51 time: 0.2957 data_time: 0.0284 memory: 8198 grad_norm: 7.3368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1513 loss: 1.1513 2022/08/04 00:52:20 - mmengine - INFO - Epoch(train) [226][440/1879] lr: 1.0000e-04 eta: 4:35:46 time: 0.2961 data_time: 0.0219 memory: 8198 grad_norm: 7.3362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9927 loss: 0.9927 2022/08/04 00:52:25 - mmengine - INFO - Epoch(train) [226][460/1879] lr: 1.0000e-04 eta: 4:35:40 time: 0.2835 data_time: 0.0242 memory: 8198 grad_norm: 7.5687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/08/04 00:52:31 - mmengine - INFO - Epoch(train) [226][480/1879] lr: 1.0000e-04 eta: 4:35:34 time: 0.2880 data_time: 0.0181 memory: 8198 grad_norm: 7.3337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/08/04 00:52:38 - mmengine - INFO - Epoch(train) [226][500/1879] lr: 1.0000e-04 eta: 4:35:29 time: 0.3490 data_time: 0.0201 memory: 8198 grad_norm: 7.3800 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8933 loss: 0.8933 2022/08/04 00:52:44 - mmengine - INFO - Epoch(train) [226][520/1879] lr: 1.0000e-04 eta: 4:35:23 time: 0.2878 data_time: 0.0220 memory: 8198 grad_norm: 7.4218 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/04 00:52:50 - mmengine - INFO - Epoch(train) [226][540/1879] lr: 1.0000e-04 eta: 4:35:17 time: 0.3154 data_time: 0.0222 memory: 8198 grad_norm: 7.2035 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9180 loss: 0.9180 2022/08/04 00:52:56 - mmengine - INFO - Epoch(train) [226][560/1879] lr: 1.0000e-04 eta: 4:35:12 time: 0.2839 data_time: 0.0195 memory: 8198 grad_norm: 7.0982 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0012 loss: 1.0012 2022/08/04 00:53:02 - mmengine - INFO - Epoch(train) [226][580/1879] lr: 1.0000e-04 eta: 4:35:06 time: 0.2880 data_time: 0.0282 memory: 8198 grad_norm: 7.1237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9226 loss: 0.9226 2022/08/04 00:53:08 - mmengine - INFO - Epoch(train) [226][600/1879] lr: 1.0000e-04 eta: 4:35:00 time: 0.3055 data_time: 0.0188 memory: 8198 grad_norm: 7.2170 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8828 loss: 0.8828 2022/08/04 00:53:14 - mmengine - INFO - Epoch(train) [226][620/1879] lr: 1.0000e-04 eta: 4:34:55 time: 0.2867 data_time: 0.0247 memory: 8198 grad_norm: 7.4063 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9574 loss: 0.9574 2022/08/04 00:53:20 - mmengine - INFO - Epoch(train) [226][640/1879] lr: 1.0000e-04 eta: 4:34:49 time: 0.3203 data_time: 0.0320 memory: 8198 grad_norm: 7.4781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0086 loss: 1.0086 2022/08/04 00:53:26 - mmengine - INFO - Epoch(train) [226][660/1879] lr: 1.0000e-04 eta: 4:34:43 time: 0.3090 data_time: 0.0214 memory: 8198 grad_norm: 7.2564 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9355 loss: 0.9355 2022/08/04 00:53:32 - mmengine - INFO - Epoch(train) [226][680/1879] lr: 1.0000e-04 eta: 4:34:38 time: 0.2856 data_time: 0.0201 memory: 8198 grad_norm: 7.2046 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0300 loss: 1.0300 2022/08/04 00:53:38 - mmengine - INFO - Epoch(train) [226][700/1879] lr: 1.0000e-04 eta: 4:34:32 time: 0.2864 data_time: 0.0220 memory: 8198 grad_norm: 7.2044 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9904 loss: 0.9904 2022/08/04 00:53:44 - mmengine - INFO - Epoch(train) [226][720/1879] lr: 1.0000e-04 eta: 4:34:26 time: 0.2979 data_time: 0.0200 memory: 8198 grad_norm: 7.1176 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8310 loss: 0.8310 2022/08/04 00:53:50 - mmengine - INFO - Epoch(train) [226][740/1879] lr: 1.0000e-04 eta: 4:34:20 time: 0.2875 data_time: 0.0269 memory: 8198 grad_norm: 7.3702 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0017 loss: 1.0017 2022/08/04 00:53:55 - mmengine - INFO - Epoch(train) [226][760/1879] lr: 1.0000e-04 eta: 4:34:15 time: 0.2877 data_time: 0.0225 memory: 8198 grad_norm: 7.1340 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9671 loss: 0.9671 2022/08/04 00:54:01 - mmengine - INFO - Epoch(train) [226][780/1879] lr: 1.0000e-04 eta: 4:34:09 time: 0.2857 data_time: 0.0232 memory: 8198 grad_norm: 7.3772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1273 loss: 1.1273 2022/08/04 00:54:07 - mmengine - INFO - Epoch(train) [226][800/1879] lr: 1.0000e-04 eta: 4:34:03 time: 0.2899 data_time: 0.0180 memory: 8198 grad_norm: 7.1560 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8892 loss: 0.8892 2022/08/04 00:54:13 - mmengine - INFO - Epoch(train) [226][820/1879] lr: 1.0000e-04 eta: 4:33:58 time: 0.2893 data_time: 0.0251 memory: 8198 grad_norm: 7.1854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/08/04 00:54:19 - mmengine - INFO - Epoch(train) [226][840/1879] lr: 1.0000e-04 eta: 4:33:52 time: 0.2881 data_time: 0.0218 memory: 8198 grad_norm: 7.3009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9931 loss: 0.9931 2022/08/04 00:54:24 - mmengine - INFO - Epoch(train) [226][860/1879] lr: 1.0000e-04 eta: 4:33:46 time: 0.2902 data_time: 0.0192 memory: 8198 grad_norm: 7.1668 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9756 loss: 0.9756 2022/08/04 00:54:30 - mmengine - INFO - Epoch(train) [226][880/1879] lr: 1.0000e-04 eta: 4:33:40 time: 0.2865 data_time: 0.0172 memory: 8198 grad_norm: 7.4300 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9167 loss: 0.9167 2022/08/04 00:54:36 - mmengine - INFO - Epoch(train) [226][900/1879] lr: 1.0000e-04 eta: 4:33:35 time: 0.2907 data_time: 0.0225 memory: 8198 grad_norm: 7.5496 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9843 loss: 0.9843 2022/08/04 00:54:42 - mmengine - INFO - Epoch(train) [226][920/1879] lr: 1.0000e-04 eta: 4:33:29 time: 0.2847 data_time: 0.0180 memory: 8198 grad_norm: 7.3630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0363 loss: 1.0363 2022/08/04 00:54:49 - mmengine - INFO - Epoch(train) [226][940/1879] lr: 1.0000e-04 eta: 4:33:23 time: 0.3378 data_time: 0.0217 memory: 8198 grad_norm: 7.3265 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8999 loss: 0.8999 2022/08/04 00:54:54 - mmengine - INFO - Epoch(train) [226][960/1879] lr: 1.0000e-04 eta: 4:33:18 time: 0.2850 data_time: 0.0226 memory: 8198 grad_norm: 7.2910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1676 loss: 1.1676 2022/08/04 00:55:00 - mmengine - INFO - Epoch(train) [226][980/1879] lr: 1.0000e-04 eta: 4:33:12 time: 0.2860 data_time: 0.0223 memory: 8198 grad_norm: 7.1091 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9189 loss: 0.9189 2022/08/04 00:55:06 - mmengine - INFO - Epoch(train) [226][1000/1879] lr: 1.0000e-04 eta: 4:33:06 time: 0.3043 data_time: 0.0212 memory: 8198 grad_norm: 7.4922 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0186 loss: 1.0186 2022/08/04 00:55:12 - mmengine - INFO - Epoch(train) [226][1020/1879] lr: 1.0000e-04 eta: 4:33:01 time: 0.2873 data_time: 0.0226 memory: 8198 grad_norm: 7.4013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0486 loss: 1.0486 2022/08/04 00:55:18 - mmengine - INFO - Epoch(train) [226][1040/1879] lr: 1.0000e-04 eta: 4:32:55 time: 0.2901 data_time: 0.0201 memory: 8198 grad_norm: 7.2358 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0336 loss: 1.0336 2022/08/04 00:55:24 - mmengine - INFO - Epoch(train) [226][1060/1879] lr: 1.0000e-04 eta: 4:32:49 time: 0.3281 data_time: 0.0233 memory: 8198 grad_norm: 7.4413 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0440 loss: 1.0440 2022/08/04 00:55:30 - mmengine - INFO - Epoch(train) [226][1080/1879] lr: 1.0000e-04 eta: 4:32:43 time: 0.2826 data_time: 0.0243 memory: 8198 grad_norm: 7.3090 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8757 loss: 0.8757 2022/08/04 00:55:36 - mmengine - INFO - Epoch(train) [226][1100/1879] lr: 1.0000e-04 eta: 4:32:38 time: 0.2878 data_time: 0.0214 memory: 8198 grad_norm: 7.3897 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8699 loss: 0.8699 2022/08/04 00:55:42 - mmengine - INFO - Epoch(train) [226][1120/1879] lr: 1.0000e-04 eta: 4:32:32 time: 0.2903 data_time: 0.0270 memory: 8198 grad_norm: 7.3415 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8067 loss: 0.8067 2022/08/04 00:55:48 - mmengine - INFO - Epoch(train) [226][1140/1879] lr: 1.0000e-04 eta: 4:32:26 time: 0.3020 data_time: 0.0210 memory: 8198 grad_norm: 7.4138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8358 loss: 0.8358 2022/08/04 00:55:54 - mmengine - INFO - Epoch(train) [226][1160/1879] lr: 1.0000e-04 eta: 4:32:21 time: 0.2934 data_time: 0.0289 memory: 8198 grad_norm: 7.3264 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9008 loss: 0.9008 2022/08/04 00:55:59 - mmengine - INFO - Epoch(train) [226][1180/1879] lr: 1.0000e-04 eta: 4:32:15 time: 0.2859 data_time: 0.0217 memory: 8198 grad_norm: 7.3848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9761 loss: 0.9761 2022/08/04 00:56:05 - mmengine - INFO - Epoch(train) [226][1200/1879] lr: 1.0000e-04 eta: 4:32:09 time: 0.3049 data_time: 0.0248 memory: 8198 grad_norm: 7.3224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8283 loss: 0.8283 2022/08/04 00:56:11 - mmengine - INFO - Epoch(train) [226][1220/1879] lr: 1.0000e-04 eta: 4:32:03 time: 0.2868 data_time: 0.0210 memory: 8198 grad_norm: 7.5390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9199 loss: 0.9199 2022/08/04 00:56:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:56:17 - mmengine - INFO - Epoch(train) [226][1240/1879] lr: 1.0000e-04 eta: 4:31:58 time: 0.2931 data_time: 0.0219 memory: 8198 grad_norm: 7.2909 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/04 00:56:23 - mmengine - INFO - Epoch(train) [226][1260/1879] lr: 1.0000e-04 eta: 4:31:52 time: 0.2852 data_time: 0.0214 memory: 8198 grad_norm: 7.2750 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0623 loss: 1.0623 2022/08/04 00:56:29 - mmengine - INFO - Epoch(train) [226][1280/1879] lr: 1.0000e-04 eta: 4:31:46 time: 0.2888 data_time: 0.0170 memory: 8198 grad_norm: 7.1866 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9309 loss: 0.9309 2022/08/04 00:56:34 - mmengine - INFO - Epoch(train) [226][1300/1879] lr: 1.0000e-04 eta: 4:31:41 time: 0.2851 data_time: 0.0198 memory: 8198 grad_norm: 7.2453 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0130 loss: 1.0130 2022/08/04 00:56:40 - mmengine - INFO - Epoch(train) [226][1320/1879] lr: 1.0000e-04 eta: 4:31:35 time: 0.2872 data_time: 0.0212 memory: 8198 grad_norm: 7.1216 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8796 loss: 0.8796 2022/08/04 00:56:46 - mmengine - INFO - Epoch(train) [226][1340/1879] lr: 1.0000e-04 eta: 4:31:29 time: 0.2906 data_time: 0.0242 memory: 8198 grad_norm: 7.5387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0725 loss: 1.0725 2022/08/04 00:56:52 - mmengine - INFO - Epoch(train) [226][1360/1879] lr: 1.0000e-04 eta: 4:31:23 time: 0.2843 data_time: 0.0244 memory: 8198 grad_norm: 7.4281 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0533 loss: 1.0533 2022/08/04 00:56:58 - mmengine - INFO - Epoch(train) [226][1380/1879] lr: 1.0000e-04 eta: 4:31:18 time: 0.2902 data_time: 0.0251 memory: 8198 grad_norm: 7.0324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9068 loss: 0.9068 2022/08/04 00:57:03 - mmengine - INFO - Epoch(train) [226][1400/1879] lr: 1.0000e-04 eta: 4:31:12 time: 0.2940 data_time: 0.0257 memory: 8198 grad_norm: 7.3038 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9383 loss: 0.9383 2022/08/04 00:57:09 - mmengine - INFO - Epoch(train) [226][1420/1879] lr: 1.0000e-04 eta: 4:31:06 time: 0.2846 data_time: 0.0216 memory: 8198 grad_norm: 7.1207 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8827 loss: 0.8827 2022/08/04 00:57:15 - mmengine - INFO - Epoch(train) [226][1440/1879] lr: 1.0000e-04 eta: 4:31:01 time: 0.2890 data_time: 0.0185 memory: 8198 grad_norm: 7.4655 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1927 loss: 1.1927 2022/08/04 00:57:21 - mmengine - INFO - Epoch(train) [226][1460/1879] lr: 1.0000e-04 eta: 4:30:55 time: 0.2861 data_time: 0.0203 memory: 8198 grad_norm: 7.2985 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0340 loss: 1.0340 2022/08/04 00:57:27 - mmengine - INFO - Epoch(train) [226][1480/1879] lr: 1.0000e-04 eta: 4:30:49 time: 0.2875 data_time: 0.0247 memory: 8198 grad_norm: 7.2014 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8866 loss: 0.8866 2022/08/04 00:57:32 - mmengine - INFO - Epoch(train) [226][1500/1879] lr: 1.0000e-04 eta: 4:30:43 time: 0.2870 data_time: 0.0248 memory: 8198 grad_norm: 7.3920 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0334 loss: 1.0334 2022/08/04 00:57:38 - mmengine - INFO - Epoch(train) [226][1520/1879] lr: 1.0000e-04 eta: 4:30:38 time: 0.2956 data_time: 0.0194 memory: 8198 grad_norm: 7.3339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/04 00:57:44 - mmengine - INFO - Epoch(train) [226][1540/1879] lr: 1.0000e-04 eta: 4:30:32 time: 0.3014 data_time: 0.0258 memory: 8198 grad_norm: 7.3393 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1023 loss: 1.1023 2022/08/04 00:57:50 - mmengine - INFO - Epoch(train) [226][1560/1879] lr: 1.0000e-04 eta: 4:30:26 time: 0.2837 data_time: 0.0172 memory: 8198 grad_norm: 7.1881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7278 loss: 0.7278 2022/08/04 00:57:56 - mmengine - INFO - Epoch(train) [226][1580/1879] lr: 1.0000e-04 eta: 4:30:21 time: 0.2916 data_time: 0.0242 memory: 8198 grad_norm: 7.5120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/08/04 00:58:02 - mmengine - INFO - Epoch(train) [226][1600/1879] lr: 1.0000e-04 eta: 4:30:15 time: 0.2844 data_time: 0.0234 memory: 8198 grad_norm: 7.2254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8068 loss: 0.8068 2022/08/04 00:58:07 - mmengine - INFO - Epoch(train) [226][1620/1879] lr: 1.0000e-04 eta: 4:30:09 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 7.3513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9214 loss: 0.9214 2022/08/04 00:58:13 - mmengine - INFO - Epoch(train) [226][1640/1879] lr: 1.0000e-04 eta: 4:30:03 time: 0.2934 data_time: 0.0205 memory: 8198 grad_norm: 7.4919 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0433 loss: 1.0433 2022/08/04 00:58:19 - mmengine - INFO - Epoch(train) [226][1660/1879] lr: 1.0000e-04 eta: 4:29:58 time: 0.2859 data_time: 0.0253 memory: 8198 grad_norm: 7.3315 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1373 loss: 1.1373 2022/08/04 00:58:25 - mmengine - INFO - Epoch(train) [226][1680/1879] lr: 1.0000e-04 eta: 4:29:52 time: 0.2904 data_time: 0.0262 memory: 8198 grad_norm: 7.1663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8857 loss: 0.8857 2022/08/04 00:58:31 - mmengine - INFO - Epoch(train) [226][1700/1879] lr: 1.0000e-04 eta: 4:29:46 time: 0.2851 data_time: 0.0229 memory: 8198 grad_norm: 7.4371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9365 loss: 0.9365 2022/08/04 00:58:36 - mmengine - INFO - Epoch(train) [226][1720/1879] lr: 1.0000e-04 eta: 4:29:41 time: 0.2916 data_time: 0.0206 memory: 8198 grad_norm: 7.4441 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9868 loss: 0.9868 2022/08/04 00:58:42 - mmengine - INFO - Epoch(train) [226][1740/1879] lr: 1.0000e-04 eta: 4:29:35 time: 0.2908 data_time: 0.0248 memory: 8198 grad_norm: 7.3264 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/08/04 00:58:48 - mmengine - INFO - Epoch(train) [226][1760/1879] lr: 1.0000e-04 eta: 4:29:29 time: 0.2946 data_time: 0.0303 memory: 8198 grad_norm: 7.4858 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/08/04 00:58:54 - mmengine - INFO - Epoch(train) [226][1780/1879] lr: 1.0000e-04 eta: 4:29:23 time: 0.2915 data_time: 0.0265 memory: 8198 grad_norm: 7.2727 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8217 loss: 0.8217 2022/08/04 00:59:00 - mmengine - INFO - Epoch(train) [226][1800/1879] lr: 1.0000e-04 eta: 4:29:18 time: 0.2865 data_time: 0.0217 memory: 8198 grad_norm: 7.3191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/08/04 00:59:06 - mmengine - INFO - Epoch(train) [226][1820/1879] lr: 1.0000e-04 eta: 4:29:12 time: 0.2893 data_time: 0.0249 memory: 8198 grad_norm: 7.3996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/08/04 00:59:11 - mmengine - INFO - Epoch(train) [226][1840/1879] lr: 1.0000e-04 eta: 4:29:06 time: 0.2862 data_time: 0.0239 memory: 8198 grad_norm: 7.2220 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9369 loss: 0.9369 2022/08/04 00:59:17 - mmengine - INFO - Epoch(train) [226][1860/1879] lr: 1.0000e-04 eta: 4:29:01 time: 0.2878 data_time: 0.0243 memory: 8198 grad_norm: 7.3520 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0301 loss: 1.0301 2022/08/04 00:59:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 00:59:22 - mmengine - INFO - Epoch(train) [226][1879/1879] lr: 1.0000e-04 eta: 4:29:01 time: 0.2602 data_time: 0.0160 memory: 8198 grad_norm: 7.6503 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/04 00:59:30 - mmengine - INFO - Epoch(train) [227][20/1879] lr: 1.0000e-04 eta: 4:28:49 time: 0.4037 data_time: 0.1066 memory: 8198 grad_norm: 7.3086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8909 loss: 0.8909 2022/08/04 00:59:36 - mmengine - INFO - Epoch(train) [227][40/1879] lr: 1.0000e-04 eta: 4:28:43 time: 0.2940 data_time: 0.0204 memory: 8198 grad_norm: 7.1632 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/08/04 00:59:43 - mmengine - INFO - Epoch(train) [227][60/1879] lr: 1.0000e-04 eta: 4:28:38 time: 0.3228 data_time: 0.0239 memory: 8198 grad_norm: 7.3444 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8273 loss: 0.8273 2022/08/04 00:59:49 - mmengine - INFO - Epoch(train) [227][80/1879] lr: 1.0000e-04 eta: 4:28:32 time: 0.2962 data_time: 0.0190 memory: 8198 grad_norm: 7.1999 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/04 00:59:55 - mmengine - INFO - Epoch(train) [227][100/1879] lr: 1.0000e-04 eta: 4:28:26 time: 0.2996 data_time: 0.0262 memory: 8198 grad_norm: 7.4061 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9420 loss: 0.9420 2022/08/04 01:00:00 - mmengine - INFO - Epoch(train) [227][120/1879] lr: 1.0000e-04 eta: 4:28:21 time: 0.2829 data_time: 0.0208 memory: 8198 grad_norm: 7.2489 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0118 loss: 1.0118 2022/08/04 01:00:06 - mmengine - INFO - Epoch(train) [227][140/1879] lr: 1.0000e-04 eta: 4:28:15 time: 0.2936 data_time: 0.0254 memory: 8198 grad_norm: 7.3999 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9357 loss: 0.9357 2022/08/04 01:00:12 - mmengine - INFO - Epoch(train) [227][160/1879] lr: 1.0000e-04 eta: 4:28:09 time: 0.2901 data_time: 0.0237 memory: 8198 grad_norm: 7.3267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9653 loss: 0.9653 2022/08/04 01:00:18 - mmengine - INFO - Epoch(train) [227][180/1879] lr: 1.0000e-04 eta: 4:28:03 time: 0.2881 data_time: 0.0230 memory: 8198 grad_norm: 7.5900 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1014 loss: 1.1014 2022/08/04 01:00:24 - mmengine - INFO - Epoch(train) [227][200/1879] lr: 1.0000e-04 eta: 4:27:58 time: 0.2880 data_time: 0.0258 memory: 8198 grad_norm: 7.2792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0324 loss: 1.0324 2022/08/04 01:00:29 - mmengine - INFO - Epoch(train) [227][220/1879] lr: 1.0000e-04 eta: 4:27:52 time: 0.2867 data_time: 0.0265 memory: 8198 grad_norm: 7.3560 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0121 loss: 1.0121 2022/08/04 01:00:35 - mmengine - INFO - Epoch(train) [227][240/1879] lr: 1.0000e-04 eta: 4:27:46 time: 0.2937 data_time: 0.0197 memory: 8198 grad_norm: 7.5171 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/04 01:00:41 - mmengine - INFO - Epoch(train) [227][260/1879] lr: 1.0000e-04 eta: 4:27:40 time: 0.2873 data_time: 0.0227 memory: 8198 grad_norm: 7.3912 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0554 loss: 1.0554 2022/08/04 01:00:47 - mmengine - INFO - Epoch(train) [227][280/1879] lr: 1.0000e-04 eta: 4:27:35 time: 0.2881 data_time: 0.0205 memory: 8198 grad_norm: 7.4433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7859 loss: 0.7859 2022/08/04 01:00:53 - mmengine - INFO - Epoch(train) [227][300/1879] lr: 1.0000e-04 eta: 4:27:29 time: 0.2858 data_time: 0.0250 memory: 8198 grad_norm: 7.5156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/04 01:00:59 - mmengine - INFO - Epoch(train) [227][320/1879] lr: 1.0000e-04 eta: 4:27:23 time: 0.2960 data_time: 0.0226 memory: 8198 grad_norm: 7.3632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/08/04 01:01:04 - mmengine - INFO - Epoch(train) [227][340/1879] lr: 1.0000e-04 eta: 4:27:18 time: 0.2859 data_time: 0.0253 memory: 8198 grad_norm: 7.4019 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/04 01:01:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:01:12 - mmengine - INFO - Epoch(train) [227][360/1879] lr: 1.0000e-04 eta: 4:27:12 time: 0.3971 data_time: 0.0243 memory: 8198 grad_norm: 7.5095 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/08/04 01:01:18 - mmengine - INFO - Epoch(train) [227][380/1879] lr: 1.0000e-04 eta: 4:27:06 time: 0.2798 data_time: 0.0213 memory: 8198 grad_norm: 7.3989 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1418 loss: 1.1418 2022/08/04 01:01:24 - mmengine - INFO - Epoch(train) [227][400/1879] lr: 1.0000e-04 eta: 4:27:01 time: 0.2902 data_time: 0.0254 memory: 8198 grad_norm: 7.5619 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8118 loss: 0.8118 2022/08/04 01:01:30 - mmengine - INFO - Epoch(train) [227][420/1879] lr: 1.0000e-04 eta: 4:26:55 time: 0.2860 data_time: 0.0210 memory: 8198 grad_norm: 7.5468 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9658 loss: 0.9658 2022/08/04 01:01:35 - mmengine - INFO - Epoch(train) [227][440/1879] lr: 1.0000e-04 eta: 4:26:49 time: 0.2833 data_time: 0.0197 memory: 8198 grad_norm: 7.2943 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0791 loss: 1.0791 2022/08/04 01:01:41 - mmengine - INFO - Epoch(train) [227][460/1879] lr: 1.0000e-04 eta: 4:26:44 time: 0.2861 data_time: 0.0229 memory: 8198 grad_norm: 7.2983 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0116 loss: 1.0116 2022/08/04 01:01:47 - mmengine - INFO - Epoch(train) [227][480/1879] lr: 1.0000e-04 eta: 4:26:38 time: 0.3173 data_time: 0.0225 memory: 8198 grad_norm: 7.3930 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9576 loss: 0.9576 2022/08/04 01:01:53 - mmengine - INFO - Epoch(train) [227][500/1879] lr: 1.0000e-04 eta: 4:26:32 time: 0.2852 data_time: 0.0199 memory: 8198 grad_norm: 7.0999 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9914 loss: 0.9914 2022/08/04 01:01:59 - mmengine - INFO - Epoch(train) [227][520/1879] lr: 1.0000e-04 eta: 4:26:26 time: 0.2863 data_time: 0.0220 memory: 8198 grad_norm: 7.2066 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8157 loss: 0.8157 2022/08/04 01:02:05 - mmengine - INFO - Epoch(train) [227][540/1879] lr: 1.0000e-04 eta: 4:26:21 time: 0.2959 data_time: 0.0240 memory: 8198 grad_norm: 7.4270 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0981 loss: 1.0981 2022/08/04 01:02:11 - mmengine - INFO - Epoch(train) [227][560/1879] lr: 1.0000e-04 eta: 4:26:15 time: 0.2842 data_time: 0.0203 memory: 8198 grad_norm: 7.2109 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/08/04 01:02:16 - mmengine - INFO - Epoch(train) [227][580/1879] lr: 1.0000e-04 eta: 4:26:09 time: 0.2873 data_time: 0.0262 memory: 8198 grad_norm: 7.2980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9675 loss: 0.9675 2022/08/04 01:02:22 - mmengine - INFO - Epoch(train) [227][600/1879] lr: 1.0000e-04 eta: 4:26:04 time: 0.2867 data_time: 0.0181 memory: 8198 grad_norm: 7.4472 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8531 loss: 0.8531 2022/08/04 01:02:29 - mmengine - INFO - Epoch(train) [227][620/1879] lr: 1.0000e-04 eta: 4:25:58 time: 0.3187 data_time: 0.0273 memory: 8198 grad_norm: 7.3891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/04 01:02:34 - mmengine - INFO - Epoch(train) [227][640/1879] lr: 1.0000e-04 eta: 4:25:52 time: 0.2861 data_time: 0.0217 memory: 8198 grad_norm: 7.4208 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0052 loss: 1.0052 2022/08/04 01:02:40 - mmengine - INFO - Epoch(train) [227][660/1879] lr: 1.0000e-04 eta: 4:25:46 time: 0.2873 data_time: 0.0199 memory: 8198 grad_norm: 7.2171 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0039 loss: 1.0039 2022/08/04 01:02:46 - mmengine - INFO - Epoch(train) [227][680/1879] lr: 1.0000e-04 eta: 4:25:41 time: 0.2903 data_time: 0.0236 memory: 8198 grad_norm: 7.1942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9398 loss: 0.9398 2022/08/04 01:02:52 - mmengine - INFO - Epoch(train) [227][700/1879] lr: 1.0000e-04 eta: 4:25:35 time: 0.2857 data_time: 0.0252 memory: 8198 grad_norm: 7.0857 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8970 loss: 0.8970 2022/08/04 01:02:57 - mmengine - INFO - Epoch(train) [227][720/1879] lr: 1.0000e-04 eta: 4:25:29 time: 0.2861 data_time: 0.0188 memory: 8198 grad_norm: 7.3918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8220 loss: 0.8220 2022/08/04 01:03:03 - mmengine - INFO - Epoch(train) [227][740/1879] lr: 1.0000e-04 eta: 4:25:24 time: 0.2869 data_time: 0.0205 memory: 8198 grad_norm: 7.4391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/08/04 01:03:09 - mmengine - INFO - Epoch(train) [227][760/1879] lr: 1.0000e-04 eta: 4:25:18 time: 0.3003 data_time: 0.0244 memory: 8198 grad_norm: 7.2323 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8630 loss: 0.8630 2022/08/04 01:03:15 - mmengine - INFO - Epoch(train) [227][780/1879] lr: 1.0000e-04 eta: 4:25:12 time: 0.2869 data_time: 0.0229 memory: 8198 grad_norm: 7.3362 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8508 loss: 0.8508 2022/08/04 01:03:21 - mmengine - INFO - Epoch(train) [227][800/1879] lr: 1.0000e-04 eta: 4:25:06 time: 0.2860 data_time: 0.0192 memory: 8198 grad_norm: 7.4665 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0488 loss: 1.0488 2022/08/04 01:03:27 - mmengine - INFO - Epoch(train) [227][820/1879] lr: 1.0000e-04 eta: 4:25:01 time: 0.2937 data_time: 0.0239 memory: 8198 grad_norm: 7.1286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9182 loss: 0.9182 2022/08/04 01:03:32 - mmengine - INFO - Epoch(train) [227][840/1879] lr: 1.0000e-04 eta: 4:24:55 time: 0.2884 data_time: 0.0240 memory: 8198 grad_norm: 6.9242 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/08/04 01:03:38 - mmengine - INFO - Epoch(train) [227][860/1879] lr: 1.0000e-04 eta: 4:24:49 time: 0.2856 data_time: 0.0222 memory: 8198 grad_norm: 7.1717 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9310 loss: 0.9310 2022/08/04 01:03:44 - mmengine - INFO - Epoch(train) [227][880/1879] lr: 1.0000e-04 eta: 4:24:44 time: 0.2915 data_time: 0.0187 memory: 8198 grad_norm: 7.2697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/08/04 01:03:50 - mmengine - INFO - Epoch(train) [227][900/1879] lr: 1.0000e-04 eta: 4:24:38 time: 0.2866 data_time: 0.0282 memory: 8198 grad_norm: 7.5098 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/04 01:03:55 - mmengine - INFO - Epoch(train) [227][920/1879] lr: 1.0000e-04 eta: 4:24:32 time: 0.2845 data_time: 0.0211 memory: 8198 grad_norm: 7.1797 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9659 loss: 0.9659 2022/08/04 01:04:02 - mmengine - INFO - Epoch(train) [227][940/1879] lr: 1.0000e-04 eta: 4:24:26 time: 0.3065 data_time: 0.0257 memory: 8198 grad_norm: 7.4791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9466 loss: 0.9466 2022/08/04 01:04:07 - mmengine - INFO - Epoch(train) [227][960/1879] lr: 1.0000e-04 eta: 4:24:21 time: 0.2875 data_time: 0.0228 memory: 8198 grad_norm: 7.4360 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9983 loss: 0.9983 2022/08/04 01:04:13 - mmengine - INFO - Epoch(train) [227][980/1879] lr: 1.0000e-04 eta: 4:24:15 time: 0.2854 data_time: 0.0227 memory: 8198 grad_norm: 7.3726 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9592 loss: 0.9592 2022/08/04 01:04:19 - mmengine - INFO - Epoch(train) [227][1000/1879] lr: 1.0000e-04 eta: 4:24:09 time: 0.3104 data_time: 0.0187 memory: 8198 grad_norm: 7.5262 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9957 loss: 0.9957 2022/08/04 01:04:25 - mmengine - INFO - Epoch(train) [227][1020/1879] lr: 1.0000e-04 eta: 4:24:04 time: 0.2856 data_time: 0.0236 memory: 8198 grad_norm: 7.2546 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9671 loss: 0.9671 2022/08/04 01:04:31 - mmengine - INFO - Epoch(train) [227][1040/1879] lr: 1.0000e-04 eta: 4:23:58 time: 0.2943 data_time: 0.0178 memory: 8198 grad_norm: 7.7188 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9609 loss: 0.9609 2022/08/04 01:04:37 - mmengine - INFO - Epoch(train) [227][1060/1879] lr: 1.0000e-04 eta: 4:23:52 time: 0.2884 data_time: 0.0217 memory: 8198 grad_norm: 7.0877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9215 loss: 0.9215 2022/08/04 01:04:43 - mmengine - INFO - Epoch(train) [227][1080/1879] lr: 1.0000e-04 eta: 4:23:46 time: 0.2855 data_time: 0.0259 memory: 8198 grad_norm: 7.3750 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/08/04 01:04:49 - mmengine - INFO - Epoch(train) [227][1100/1879] lr: 1.0000e-04 eta: 4:23:41 time: 0.2925 data_time: 0.0219 memory: 8198 grad_norm: 7.3145 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8563 loss: 0.8563 2022/08/04 01:04:55 - mmengine - INFO - Epoch(train) [227][1120/1879] lr: 1.0000e-04 eta: 4:23:35 time: 0.2964 data_time: 0.0336 memory: 8198 grad_norm: 7.2939 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1802 loss: 1.1802 2022/08/04 01:05:00 - mmengine - INFO - Epoch(train) [227][1140/1879] lr: 1.0000e-04 eta: 4:23:29 time: 0.2913 data_time: 0.0301 memory: 8198 grad_norm: 7.3399 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9498 loss: 0.9498 2022/08/04 01:05:06 - mmengine - INFO - Epoch(train) [227][1160/1879] lr: 1.0000e-04 eta: 4:23:24 time: 0.2983 data_time: 0.0189 memory: 8198 grad_norm: 7.3304 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9808 loss: 0.9808 2022/08/04 01:05:12 - mmengine - INFO - Epoch(train) [227][1180/1879] lr: 1.0000e-04 eta: 4:23:18 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 7.0968 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/08/04 01:05:18 - mmengine - INFO - Epoch(train) [227][1200/1879] lr: 1.0000e-04 eta: 4:23:12 time: 0.2857 data_time: 0.0225 memory: 8198 grad_norm: 7.3204 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8474 loss: 0.8474 2022/08/04 01:05:24 - mmengine - INFO - Epoch(train) [227][1220/1879] lr: 1.0000e-04 eta: 4:23:07 time: 0.3010 data_time: 0.0198 memory: 8198 grad_norm: 7.3263 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/08/04 01:05:30 - mmengine - INFO - Epoch(train) [227][1240/1879] lr: 1.0000e-04 eta: 4:23:01 time: 0.3080 data_time: 0.0181 memory: 8198 grad_norm: 7.3027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9758 loss: 0.9758 2022/08/04 01:05:36 - mmengine - INFO - Epoch(train) [227][1260/1879] lr: 1.0000e-04 eta: 4:22:55 time: 0.2857 data_time: 0.0271 memory: 8198 grad_norm: 7.2465 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9323 loss: 0.9323 2022/08/04 01:05:42 - mmengine - INFO - Epoch(train) [227][1280/1879] lr: 1.0000e-04 eta: 4:22:49 time: 0.3081 data_time: 0.0265 memory: 8198 grad_norm: 7.4626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0175 loss: 1.0175 2022/08/04 01:05:48 - mmengine - INFO - Epoch(train) [227][1300/1879] lr: 1.0000e-04 eta: 4:22:44 time: 0.2839 data_time: 0.0192 memory: 8198 grad_norm: 7.3458 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9805 loss: 0.9805 2022/08/04 01:05:54 - mmengine - INFO - Epoch(train) [227][1320/1879] lr: 1.0000e-04 eta: 4:22:38 time: 0.2883 data_time: 0.0238 memory: 8198 grad_norm: 7.6273 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1475 loss: 1.1475 2022/08/04 01:05:59 - mmengine - INFO - Epoch(train) [227][1340/1879] lr: 1.0000e-04 eta: 4:22:32 time: 0.2924 data_time: 0.0263 memory: 8198 grad_norm: 7.3543 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8104 loss: 0.8104 2022/08/04 01:06:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:06:05 - mmengine - INFO - Epoch(train) [227][1360/1879] lr: 1.0000e-04 eta: 4:22:27 time: 0.2854 data_time: 0.0226 memory: 8198 grad_norm: 7.5302 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8909 loss: 0.8909 2022/08/04 01:06:11 - mmengine - INFO - Epoch(train) [227][1380/1879] lr: 1.0000e-04 eta: 4:22:21 time: 0.2858 data_time: 0.0237 memory: 8198 grad_norm: 7.3166 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8554 loss: 0.8554 2022/08/04 01:06:17 - mmengine - INFO - Epoch(train) [227][1400/1879] lr: 1.0000e-04 eta: 4:22:15 time: 0.2944 data_time: 0.0228 memory: 8198 grad_norm: 7.5438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9595 loss: 0.9595 2022/08/04 01:06:23 - mmengine - INFO - Epoch(train) [227][1420/1879] lr: 1.0000e-04 eta: 4:22:09 time: 0.2873 data_time: 0.0245 memory: 8198 grad_norm: 7.3348 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0389 loss: 1.0389 2022/08/04 01:06:28 - mmengine - INFO - Epoch(train) [227][1440/1879] lr: 1.0000e-04 eta: 4:22:04 time: 0.2883 data_time: 0.0213 memory: 8198 grad_norm: 7.3592 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1137 loss: 1.1137 2022/08/04 01:06:34 - mmengine - INFO - Epoch(train) [227][1460/1879] lr: 1.0000e-04 eta: 4:21:58 time: 0.2876 data_time: 0.0230 memory: 8198 grad_norm: 7.4803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9157 loss: 0.9157 2022/08/04 01:06:40 - mmengine - INFO - Epoch(train) [227][1480/1879] lr: 1.0000e-04 eta: 4:21:52 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 7.1680 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9267 loss: 0.9267 2022/08/04 01:06:46 - mmengine - INFO - Epoch(train) [227][1500/1879] lr: 1.0000e-04 eta: 4:21:47 time: 0.2848 data_time: 0.0219 memory: 8198 grad_norm: 7.5469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/08/04 01:06:51 - mmengine - INFO - Epoch(train) [227][1520/1879] lr: 1.0000e-04 eta: 4:21:41 time: 0.2832 data_time: 0.0197 memory: 8198 grad_norm: 7.1245 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9603 loss: 0.9603 2022/08/04 01:06:57 - mmengine - INFO - Epoch(train) [227][1540/1879] lr: 1.0000e-04 eta: 4:21:35 time: 0.3006 data_time: 0.0266 memory: 8198 grad_norm: 7.3971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0863 loss: 1.0863 2022/08/04 01:07:03 - mmengine - INFO - Epoch(train) [227][1560/1879] lr: 1.0000e-04 eta: 4:21:29 time: 0.2857 data_time: 0.0198 memory: 8198 grad_norm: 7.3510 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9744 loss: 0.9744 2022/08/04 01:07:09 - mmengine - INFO - Epoch(train) [227][1580/1879] lr: 1.0000e-04 eta: 4:21:24 time: 0.2922 data_time: 0.0319 memory: 8198 grad_norm: 7.3218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/08/04 01:07:15 - mmengine - INFO - Epoch(train) [227][1600/1879] lr: 1.0000e-04 eta: 4:21:18 time: 0.2959 data_time: 0.0232 memory: 8198 grad_norm: 7.3907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0618 loss: 1.0618 2022/08/04 01:07:21 - mmengine - INFO - Epoch(train) [227][1620/1879] lr: 1.0000e-04 eta: 4:21:12 time: 0.2858 data_time: 0.0214 memory: 8198 grad_norm: 7.0891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0854 loss: 1.0854 2022/08/04 01:07:26 - mmengine - INFO - Epoch(train) [227][1640/1879] lr: 1.0000e-04 eta: 4:21:07 time: 0.2850 data_time: 0.0242 memory: 8198 grad_norm: 7.2709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8297 loss: 0.8297 2022/08/04 01:07:32 - mmengine - INFO - Epoch(train) [227][1660/1879] lr: 1.0000e-04 eta: 4:21:01 time: 0.2872 data_time: 0.0218 memory: 8198 grad_norm: 7.4332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0211 loss: 1.0211 2022/08/04 01:07:38 - mmengine - INFO - Epoch(train) [227][1680/1879] lr: 1.0000e-04 eta: 4:20:55 time: 0.2972 data_time: 0.0212 memory: 8198 grad_norm: 7.3428 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9980 loss: 0.9980 2022/08/04 01:07:44 - mmengine - INFO - Epoch(train) [227][1700/1879] lr: 1.0000e-04 eta: 4:20:49 time: 0.2881 data_time: 0.0247 memory: 8198 grad_norm: 7.0292 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9874 loss: 0.9874 2022/08/04 01:07:50 - mmengine - INFO - Epoch(train) [227][1720/1879] lr: 1.0000e-04 eta: 4:20:44 time: 0.2874 data_time: 0.0206 memory: 8198 grad_norm: 7.2144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9893 loss: 0.9893 2022/08/04 01:07:56 - mmengine - INFO - Epoch(train) [227][1740/1879] lr: 1.0000e-04 eta: 4:20:38 time: 0.3115 data_time: 0.0205 memory: 8198 grad_norm: 7.3238 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0673 loss: 1.0673 2022/08/04 01:08:02 - mmengine - INFO - Epoch(train) [227][1760/1879] lr: 1.0000e-04 eta: 4:20:32 time: 0.2831 data_time: 0.0199 memory: 8198 grad_norm: 7.2085 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/08/04 01:08:07 - mmengine - INFO - Epoch(train) [227][1780/1879] lr: 1.0000e-04 eta: 4:20:27 time: 0.2862 data_time: 0.0233 memory: 8198 grad_norm: 7.2500 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0770 loss: 1.0770 2022/08/04 01:08:13 - mmengine - INFO - Epoch(train) [227][1800/1879] lr: 1.0000e-04 eta: 4:20:21 time: 0.2833 data_time: 0.0195 memory: 8198 grad_norm: 7.4041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9423 loss: 0.9423 2022/08/04 01:08:19 - mmengine - INFO - Epoch(train) [227][1820/1879] lr: 1.0000e-04 eta: 4:20:15 time: 0.2967 data_time: 0.0244 memory: 8198 grad_norm: 7.3772 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/04 01:08:25 - mmengine - INFO - Epoch(train) [227][1840/1879] lr: 1.0000e-04 eta: 4:20:09 time: 0.2889 data_time: 0.0245 memory: 8198 grad_norm: 7.3515 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0427 loss: 1.0427 2022/08/04 01:08:31 - mmengine - INFO - Epoch(train) [227][1860/1879] lr: 1.0000e-04 eta: 4:20:04 time: 0.2855 data_time: 0.0217 memory: 8198 grad_norm: 7.1670 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8314 loss: 0.8314 2022/08/04 01:08:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:08:36 - mmengine - INFO - Epoch(train) [227][1879/1879] lr: 1.0000e-04 eta: 4:20:04 time: 0.2979 data_time: 0.0155 memory: 8198 grad_norm: 7.2226 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8737 loss: 0.8737 2022/08/04 01:08:45 - mmengine - INFO - Epoch(train) [228][20/1879] lr: 1.0000e-04 eta: 4:19:52 time: 0.4235 data_time: 0.1426 memory: 8198 grad_norm: 7.1279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9006 loss: 0.9006 2022/08/04 01:08:51 - mmengine - INFO - Epoch(train) [228][40/1879] lr: 1.0000e-04 eta: 4:19:46 time: 0.3029 data_time: 0.0221 memory: 8198 grad_norm: 7.2595 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8828 loss: 0.8828 2022/08/04 01:08:57 - mmengine - INFO - Epoch(train) [228][60/1879] lr: 1.0000e-04 eta: 4:19:41 time: 0.2882 data_time: 0.0213 memory: 8198 grad_norm: 7.4153 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0836 loss: 1.0836 2022/08/04 01:09:03 - mmengine - INFO - Epoch(train) [228][80/1879] lr: 1.0000e-04 eta: 4:19:35 time: 0.2900 data_time: 0.0233 memory: 8198 grad_norm: 7.4583 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9447 loss: 0.9447 2022/08/04 01:09:08 - mmengine - INFO - Epoch(train) [228][100/1879] lr: 1.0000e-04 eta: 4:19:29 time: 0.2893 data_time: 0.0211 memory: 8198 grad_norm: 7.1450 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9210 loss: 0.9210 2022/08/04 01:09:14 - mmengine - INFO - Epoch(train) [228][120/1879] lr: 1.0000e-04 eta: 4:19:24 time: 0.2870 data_time: 0.0228 memory: 8198 grad_norm: 6.9368 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1592 loss: 1.1592 2022/08/04 01:09:20 - mmengine - INFO - Epoch(train) [228][140/1879] lr: 1.0000e-04 eta: 4:19:18 time: 0.3048 data_time: 0.0225 memory: 8198 grad_norm: 7.5725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0561 loss: 1.0561 2022/08/04 01:09:26 - mmengine - INFO - Epoch(train) [228][160/1879] lr: 1.0000e-04 eta: 4:19:12 time: 0.2816 data_time: 0.0201 memory: 8198 grad_norm: 7.4806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0187 loss: 1.0187 2022/08/04 01:09:32 - mmengine - INFO - Epoch(train) [228][180/1879] lr: 1.0000e-04 eta: 4:19:06 time: 0.2861 data_time: 0.0237 memory: 8198 grad_norm: 7.4598 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0305 loss: 1.0305 2022/08/04 01:09:38 - mmengine - INFO - Epoch(train) [228][200/1879] lr: 1.0000e-04 eta: 4:19:01 time: 0.2924 data_time: 0.0223 memory: 8198 grad_norm: 7.4001 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0549 loss: 1.0549 2022/08/04 01:09:44 - mmengine - INFO - Epoch(train) [228][220/1879] lr: 1.0000e-04 eta: 4:18:55 time: 0.2897 data_time: 0.0254 memory: 8198 grad_norm: 7.2471 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9377 loss: 0.9377 2022/08/04 01:09:49 - mmengine - INFO - Epoch(train) [228][240/1879] lr: 1.0000e-04 eta: 4:18:49 time: 0.2900 data_time: 0.0229 memory: 8198 grad_norm: 7.3732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8514 loss: 0.8514 2022/08/04 01:09:56 - mmengine - INFO - Epoch(train) [228][260/1879] lr: 1.0000e-04 eta: 4:18:44 time: 0.3089 data_time: 0.0265 memory: 8198 grad_norm: 6.9707 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8798 loss: 0.8798 2022/08/04 01:10:01 - mmengine - INFO - Epoch(train) [228][280/1879] lr: 1.0000e-04 eta: 4:18:38 time: 0.2840 data_time: 0.0182 memory: 8198 grad_norm: 7.2976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0585 loss: 1.0585 2022/08/04 01:10:07 - mmengine - INFO - Epoch(train) [228][300/1879] lr: 1.0000e-04 eta: 4:18:32 time: 0.2869 data_time: 0.0286 memory: 8198 grad_norm: 7.2650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9409 loss: 0.9409 2022/08/04 01:10:13 - mmengine - INFO - Epoch(train) [228][320/1879] lr: 1.0000e-04 eta: 4:18:26 time: 0.2861 data_time: 0.0238 memory: 8198 grad_norm: 7.2996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0101 loss: 1.0101 2022/08/04 01:10:19 - mmengine - INFO - Epoch(train) [228][340/1879] lr: 1.0000e-04 eta: 4:18:21 time: 0.2987 data_time: 0.0254 memory: 8198 grad_norm: 7.2441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/08/04 01:10:25 - mmengine - INFO - Epoch(train) [228][360/1879] lr: 1.0000e-04 eta: 4:18:15 time: 0.2873 data_time: 0.0186 memory: 8198 grad_norm: 7.5196 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9028 loss: 0.9028 2022/08/04 01:10:30 - mmengine - INFO - Epoch(train) [228][380/1879] lr: 1.0000e-04 eta: 4:18:09 time: 0.2857 data_time: 0.0229 memory: 8198 grad_norm: 7.3839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8688 loss: 0.8688 2022/08/04 01:10:36 - mmengine - INFO - Epoch(train) [228][400/1879] lr: 1.0000e-04 eta: 4:18:04 time: 0.2910 data_time: 0.0217 memory: 8198 grad_norm: 7.4819 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9788 loss: 0.9788 2022/08/04 01:10:42 - mmengine - INFO - Epoch(train) [228][420/1879] lr: 1.0000e-04 eta: 4:17:58 time: 0.2881 data_time: 0.0237 memory: 8198 grad_norm: 7.2767 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/08/04 01:10:48 - mmengine - INFO - Epoch(train) [228][440/1879] lr: 1.0000e-04 eta: 4:17:52 time: 0.2945 data_time: 0.0208 memory: 8198 grad_norm: 7.4338 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9524 loss: 0.9524 2022/08/04 01:10:54 - mmengine - INFO - Epoch(train) [228][460/1879] lr: 1.0000e-04 eta: 4:17:46 time: 0.2842 data_time: 0.0194 memory: 8198 grad_norm: 7.4314 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9493 loss: 0.9493 2022/08/04 01:10:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:10:59 - mmengine - INFO - Epoch(train) [228][480/1879] lr: 1.0000e-04 eta: 4:17:41 time: 0.2899 data_time: 0.0204 memory: 8198 grad_norm: 7.4974 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/08/04 01:11:05 - mmengine - INFO - Epoch(train) [228][500/1879] lr: 1.0000e-04 eta: 4:17:35 time: 0.2902 data_time: 0.0211 memory: 8198 grad_norm: 7.3055 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0730 loss: 1.0730 2022/08/04 01:11:11 - mmengine - INFO - Epoch(train) [228][520/1879] lr: 1.0000e-04 eta: 4:17:29 time: 0.2864 data_time: 0.0236 memory: 8198 grad_norm: 7.2137 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/08/04 01:11:17 - mmengine - INFO - Epoch(train) [228][540/1879] lr: 1.0000e-04 eta: 4:17:24 time: 0.2873 data_time: 0.0222 memory: 8198 grad_norm: 7.5515 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2058 loss: 1.2058 2022/08/04 01:11:23 - mmengine - INFO - Epoch(train) [228][560/1879] lr: 1.0000e-04 eta: 4:17:18 time: 0.2846 data_time: 0.0224 memory: 8198 grad_norm: 7.5655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0761 loss: 1.0761 2022/08/04 01:11:28 - mmengine - INFO - Epoch(train) [228][580/1879] lr: 1.0000e-04 eta: 4:17:12 time: 0.2876 data_time: 0.0281 memory: 8198 grad_norm: 7.2313 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9434 loss: 0.9434 2022/08/04 01:11:34 - mmengine - INFO - Epoch(train) [228][600/1879] lr: 1.0000e-04 eta: 4:17:06 time: 0.2864 data_time: 0.0201 memory: 8198 grad_norm: 7.1214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9341 loss: 0.9341 2022/08/04 01:11:40 - mmengine - INFO - Epoch(train) [228][620/1879] lr: 1.0000e-04 eta: 4:17:01 time: 0.2980 data_time: 0.0255 memory: 8198 grad_norm: 7.4054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8127 loss: 0.8127 2022/08/04 01:11:46 - mmengine - INFO - Epoch(train) [228][640/1879] lr: 1.0000e-04 eta: 4:16:55 time: 0.2851 data_time: 0.0178 memory: 8198 grad_norm: 7.4678 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9784 loss: 0.9784 2022/08/04 01:11:52 - mmengine - INFO - Epoch(train) [228][660/1879] lr: 1.0000e-04 eta: 4:16:49 time: 0.2873 data_time: 0.0244 memory: 8198 grad_norm: 7.5322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0941 loss: 1.0941 2022/08/04 01:11:58 - mmengine - INFO - Epoch(train) [228][680/1879] lr: 1.0000e-04 eta: 4:16:44 time: 0.3054 data_time: 0.0178 memory: 8198 grad_norm: 7.2589 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9067 loss: 0.9067 2022/08/04 01:12:03 - mmengine - INFO - Epoch(train) [228][700/1879] lr: 1.0000e-04 eta: 4:16:38 time: 0.2867 data_time: 0.0243 memory: 8198 grad_norm: 7.3996 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9411 loss: 0.9411 2022/08/04 01:12:09 - mmengine - INFO - Epoch(train) [228][720/1879] lr: 1.0000e-04 eta: 4:16:32 time: 0.2901 data_time: 0.0180 memory: 8198 grad_norm: 7.3960 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9122 loss: 0.9122 2022/08/04 01:12:16 - mmengine - INFO - Epoch(train) [228][740/1879] lr: 1.0000e-04 eta: 4:16:26 time: 0.3108 data_time: 0.0240 memory: 8198 grad_norm: 7.3983 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/08/04 01:12:21 - mmengine - INFO - Epoch(train) [228][760/1879] lr: 1.0000e-04 eta: 4:16:21 time: 0.2815 data_time: 0.0175 memory: 8198 grad_norm: 7.2954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8494 loss: 0.8494 2022/08/04 01:12:27 - mmengine - INFO - Epoch(train) [228][780/1879] lr: 1.0000e-04 eta: 4:16:15 time: 0.2839 data_time: 0.0197 memory: 8198 grad_norm: 7.2960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1043 loss: 1.1043 2022/08/04 01:12:33 - mmengine - INFO - Epoch(train) [228][800/1879] lr: 1.0000e-04 eta: 4:16:09 time: 0.2907 data_time: 0.0265 memory: 8198 grad_norm: 7.4359 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9444 loss: 0.9444 2022/08/04 01:12:39 - mmengine - INFO - Epoch(train) [228][820/1879] lr: 1.0000e-04 eta: 4:16:04 time: 0.2999 data_time: 0.0199 memory: 8198 grad_norm: 7.5625 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9251 loss: 0.9251 2022/08/04 01:12:45 - mmengine - INFO - Epoch(train) [228][840/1879] lr: 1.0000e-04 eta: 4:15:58 time: 0.2884 data_time: 0.0249 memory: 8198 grad_norm: 7.2910 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/04 01:12:50 - mmengine - INFO - Epoch(train) [228][860/1879] lr: 1.0000e-04 eta: 4:15:52 time: 0.2886 data_time: 0.0217 memory: 8198 grad_norm: 7.2482 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8075 loss: 0.8075 2022/08/04 01:12:56 - mmengine - INFO - Epoch(train) [228][880/1879] lr: 1.0000e-04 eta: 4:15:46 time: 0.2953 data_time: 0.0222 memory: 8198 grad_norm: 7.3040 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 0.9732 loss: 0.9732 2022/08/04 01:13:02 - mmengine - INFO - Epoch(train) [228][900/1879] lr: 1.0000e-04 eta: 4:15:41 time: 0.2890 data_time: 0.0257 memory: 8198 grad_norm: 6.9913 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9675 loss: 0.9675 2022/08/04 01:13:08 - mmengine - INFO - Epoch(train) [228][920/1879] lr: 1.0000e-04 eta: 4:15:35 time: 0.2872 data_time: 0.0240 memory: 8198 grad_norm: 7.4913 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9176 loss: 0.9176 2022/08/04 01:13:14 - mmengine - INFO - Epoch(train) [228][940/1879] lr: 1.0000e-04 eta: 4:15:29 time: 0.2910 data_time: 0.0243 memory: 8198 grad_norm: 7.1354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6749 loss: 0.6749 2022/08/04 01:13:20 - mmengine - INFO - Epoch(train) [228][960/1879] lr: 1.0000e-04 eta: 4:15:24 time: 0.3071 data_time: 0.0192 memory: 8198 grad_norm: 7.2248 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/04 01:13:26 - mmengine - INFO - Epoch(train) [228][980/1879] lr: 1.0000e-04 eta: 4:15:18 time: 0.2890 data_time: 0.0222 memory: 8198 grad_norm: 7.4225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9800 loss: 0.9800 2022/08/04 01:13:32 - mmengine - INFO - Epoch(train) [228][1000/1879] lr: 1.0000e-04 eta: 4:15:12 time: 0.2859 data_time: 0.0244 memory: 8198 grad_norm: 7.4667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0513 loss: 1.0513 2022/08/04 01:13:37 - mmengine - INFO - Epoch(train) [228][1020/1879] lr: 1.0000e-04 eta: 4:15:06 time: 0.2896 data_time: 0.0229 memory: 8198 grad_norm: 7.2436 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7864 loss: 0.7864 2022/08/04 01:13:43 - mmengine - INFO - Epoch(train) [228][1040/1879] lr: 1.0000e-04 eta: 4:15:01 time: 0.2862 data_time: 0.0222 memory: 8198 grad_norm: 7.2588 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9780 loss: 0.9780 2022/08/04 01:13:49 - mmengine - INFO - Epoch(train) [228][1060/1879] lr: 1.0000e-04 eta: 4:14:55 time: 0.2864 data_time: 0.0217 memory: 8198 grad_norm: 7.4575 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0027 loss: 1.0027 2022/08/04 01:13:55 - mmengine - INFO - Epoch(train) [228][1080/1879] lr: 1.0000e-04 eta: 4:14:49 time: 0.2904 data_time: 0.0222 memory: 8198 grad_norm: 7.2730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9923 loss: 0.9923 2022/08/04 01:14:00 - mmengine - INFO - Epoch(train) [228][1100/1879] lr: 1.0000e-04 eta: 4:14:44 time: 0.2876 data_time: 0.0272 memory: 8198 grad_norm: 7.3059 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8743 loss: 0.8743 2022/08/04 01:14:06 - mmengine - INFO - Epoch(train) [228][1120/1879] lr: 1.0000e-04 eta: 4:14:38 time: 0.2915 data_time: 0.0230 memory: 8198 grad_norm: 7.4430 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/08/04 01:14:12 - mmengine - INFO - Epoch(train) [228][1140/1879] lr: 1.0000e-04 eta: 4:14:32 time: 0.2863 data_time: 0.0223 memory: 8198 grad_norm: 7.1703 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8990 loss: 0.8990 2022/08/04 01:14:18 - mmengine - INFO - Epoch(train) [228][1160/1879] lr: 1.0000e-04 eta: 4:14:26 time: 0.3172 data_time: 0.0204 memory: 8198 grad_norm: 6.9716 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8395 loss: 0.8395 2022/08/04 01:14:24 - mmengine - INFO - Epoch(train) [228][1180/1879] lr: 1.0000e-04 eta: 4:14:21 time: 0.2852 data_time: 0.0199 memory: 8198 grad_norm: 7.5941 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0946 loss: 1.0946 2022/08/04 01:14:30 - mmengine - INFO - Epoch(train) [228][1200/1879] lr: 1.0000e-04 eta: 4:14:15 time: 0.2921 data_time: 0.0282 memory: 8198 grad_norm: 7.0577 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1524 loss: 1.1524 2022/08/04 01:14:36 - mmengine - INFO - Epoch(train) [228][1220/1879] lr: 1.0000e-04 eta: 4:14:09 time: 0.2892 data_time: 0.0218 memory: 8198 grad_norm: 7.4023 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8604 loss: 0.8604 2022/08/04 01:14:42 - mmengine - INFO - Epoch(train) [228][1240/1879] lr: 1.0000e-04 eta: 4:14:04 time: 0.2876 data_time: 0.0227 memory: 8198 grad_norm: 7.4923 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/04 01:14:47 - mmengine - INFO - Epoch(train) [228][1260/1879] lr: 1.0000e-04 eta: 4:13:58 time: 0.2884 data_time: 0.0227 memory: 8198 grad_norm: 7.0749 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7927 loss: 0.7927 2022/08/04 01:14:53 - mmengine - INFO - Epoch(train) [228][1280/1879] lr: 1.0000e-04 eta: 4:13:52 time: 0.2874 data_time: 0.0250 memory: 8198 grad_norm: 7.3169 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7538 loss: 0.7538 2022/08/04 01:14:59 - mmengine - INFO - Epoch(train) [228][1300/1879] lr: 1.0000e-04 eta: 4:13:46 time: 0.3055 data_time: 0.0238 memory: 8198 grad_norm: 7.3849 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0470 loss: 1.0470 2022/08/04 01:15:05 - mmengine - INFO - Epoch(train) [228][1320/1879] lr: 1.0000e-04 eta: 4:13:41 time: 0.2857 data_time: 0.0270 memory: 8198 grad_norm: 7.4204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8494 loss: 0.8494 2022/08/04 01:15:11 - mmengine - INFO - Epoch(train) [228][1340/1879] lr: 1.0000e-04 eta: 4:13:35 time: 0.2945 data_time: 0.0305 memory: 8198 grad_norm: 7.4742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1182 loss: 1.1182 2022/08/04 01:15:17 - mmengine - INFO - Epoch(train) [228][1360/1879] lr: 1.0000e-04 eta: 4:13:29 time: 0.2975 data_time: 0.0208 memory: 8198 grad_norm: 7.3756 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9701 loss: 0.9701 2022/08/04 01:15:23 - mmengine - INFO - Epoch(train) [228][1380/1879] lr: 1.0000e-04 eta: 4:13:24 time: 0.2859 data_time: 0.0257 memory: 8198 grad_norm: 7.5561 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9153 loss: 0.9153 2022/08/04 01:15:29 - mmengine - INFO - Epoch(train) [228][1400/1879] lr: 1.0000e-04 eta: 4:13:18 time: 0.2890 data_time: 0.0212 memory: 8198 grad_norm: 7.4537 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9969 loss: 0.9969 2022/08/04 01:15:34 - mmengine - INFO - Epoch(train) [228][1420/1879] lr: 1.0000e-04 eta: 4:13:12 time: 0.2842 data_time: 0.0232 memory: 8198 grad_norm: 7.3209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/04 01:15:40 - mmengine - INFO - Epoch(train) [228][1440/1879] lr: 1.0000e-04 eta: 4:13:06 time: 0.2884 data_time: 0.0238 memory: 8198 grad_norm: 7.2779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9575 loss: 0.9575 2022/08/04 01:15:46 - mmengine - INFO - Epoch(train) [228][1460/1879] lr: 1.0000e-04 eta: 4:13:01 time: 0.2853 data_time: 0.0202 memory: 8198 grad_norm: 7.3248 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0171 loss: 1.0171 2022/08/04 01:15:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:15:52 - mmengine - INFO - Epoch(train) [228][1480/1879] lr: 1.0000e-04 eta: 4:12:55 time: 0.2875 data_time: 0.0261 memory: 8198 grad_norm: 7.1801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9103 loss: 0.9103 2022/08/04 01:15:58 - mmengine - INFO - Epoch(train) [228][1500/1879] lr: 1.0000e-04 eta: 4:12:49 time: 0.2913 data_time: 0.0245 memory: 8198 grad_norm: 7.2161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8662 loss: 0.8662 2022/08/04 01:16:03 - mmengine - INFO - Epoch(train) [228][1520/1879] lr: 1.0000e-04 eta: 4:12:44 time: 0.2856 data_time: 0.0218 memory: 8198 grad_norm: 7.4548 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8900 loss: 0.8900 2022/08/04 01:16:09 - mmengine - INFO - Epoch(train) [228][1540/1879] lr: 1.0000e-04 eta: 4:12:38 time: 0.2884 data_time: 0.0217 memory: 8198 grad_norm: 7.3502 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0554 loss: 1.0554 2022/08/04 01:16:15 - mmengine - INFO - Epoch(train) [228][1560/1879] lr: 1.0000e-04 eta: 4:12:32 time: 0.2935 data_time: 0.0192 memory: 8198 grad_norm: 7.3604 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0768 loss: 1.0768 2022/08/04 01:16:21 - mmengine - INFO - Epoch(train) [228][1580/1879] lr: 1.0000e-04 eta: 4:12:26 time: 0.2870 data_time: 0.0223 memory: 8198 grad_norm: 7.5074 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/08/04 01:16:26 - mmengine - INFO - Epoch(train) [228][1600/1879] lr: 1.0000e-04 eta: 4:12:21 time: 0.2853 data_time: 0.0235 memory: 8198 grad_norm: 7.7627 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8273 loss: 0.8273 2022/08/04 01:16:32 - mmengine - INFO - Epoch(train) [228][1620/1879] lr: 1.0000e-04 eta: 4:12:15 time: 0.2853 data_time: 0.0193 memory: 8198 grad_norm: 7.3428 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0334 loss: 1.0334 2022/08/04 01:16:38 - mmengine - INFO - Epoch(train) [228][1640/1879] lr: 1.0000e-04 eta: 4:12:09 time: 0.2934 data_time: 0.0205 memory: 8198 grad_norm: 7.4558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0983 loss: 1.0983 2022/08/04 01:16:44 - mmengine - INFO - Epoch(train) [228][1660/1879] lr: 1.0000e-04 eta: 4:12:04 time: 0.2861 data_time: 0.0236 memory: 8198 grad_norm: 6.9170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9339 loss: 0.9339 2022/08/04 01:16:50 - mmengine - INFO - Epoch(train) [228][1680/1879] lr: 1.0000e-04 eta: 4:11:58 time: 0.2885 data_time: 0.0190 memory: 8198 grad_norm: 7.3503 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8110 loss: 0.8110 2022/08/04 01:16:56 - mmengine - INFO - Epoch(train) [228][1700/1879] lr: 1.0000e-04 eta: 4:11:52 time: 0.3004 data_time: 0.0183 memory: 8198 grad_norm: 7.4274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0481 loss: 1.0481 2022/08/04 01:17:01 - mmengine - INFO - Epoch(train) [228][1720/1879] lr: 1.0000e-04 eta: 4:11:46 time: 0.2844 data_time: 0.0274 memory: 8198 grad_norm: 7.5207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/04 01:17:07 - mmengine - INFO - Epoch(train) [228][1740/1879] lr: 1.0000e-04 eta: 4:11:41 time: 0.2852 data_time: 0.0203 memory: 8198 grad_norm: 7.5816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0659 loss: 1.0659 2022/08/04 01:17:13 - mmengine - INFO - Epoch(train) [228][1760/1879] lr: 1.0000e-04 eta: 4:11:35 time: 0.2841 data_time: 0.0206 memory: 8198 grad_norm: 7.5408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7360 loss: 0.7360 2022/08/04 01:17:19 - mmengine - INFO - Epoch(train) [228][1780/1879] lr: 1.0000e-04 eta: 4:11:29 time: 0.2906 data_time: 0.0209 memory: 8198 grad_norm: 7.4690 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9990 loss: 0.9990 2022/08/04 01:17:24 - mmengine - INFO - Epoch(train) [228][1800/1879] lr: 1.0000e-04 eta: 4:11:23 time: 0.2840 data_time: 0.0227 memory: 8198 grad_norm: 7.2428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9312 loss: 0.9312 2022/08/04 01:17:30 - mmengine - INFO - Epoch(train) [228][1820/1879] lr: 1.0000e-04 eta: 4:11:18 time: 0.2880 data_time: 0.0238 memory: 8198 grad_norm: 7.5070 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/08/04 01:17:36 - mmengine - INFO - Epoch(train) [228][1840/1879] lr: 1.0000e-04 eta: 4:11:12 time: 0.2867 data_time: 0.0185 memory: 8198 grad_norm: 7.5037 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9482 loss: 0.9482 2022/08/04 01:17:42 - mmengine - INFO - Epoch(train) [228][1860/1879] lr: 1.0000e-04 eta: 4:11:06 time: 0.2891 data_time: 0.0238 memory: 8198 grad_norm: 7.3390 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9160 loss: 0.9160 2022/08/04 01:17:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:17:47 - mmengine - INFO - Epoch(train) [228][1879/1879] lr: 1.0000e-04 eta: 4:11:06 time: 0.2626 data_time: 0.0156 memory: 8198 grad_norm: 7.6111 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1212 loss: 1.1212 2022/08/04 01:17:47 - mmengine - INFO - Saving checkpoint at 228 epochs 2022/08/04 01:17:57 - mmengine - INFO - Epoch(train) [229][20/1879] lr: 1.0000e-04 eta: 4:10:55 time: 0.3634 data_time: 0.1003 memory: 8198 grad_norm: 7.4580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9051 loss: 0.9051 2022/08/04 01:18:03 - mmengine - INFO - Epoch(train) [229][40/1879] lr: 1.0000e-04 eta: 4:10:49 time: 0.2941 data_time: 0.0276 memory: 8198 grad_norm: 7.3849 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9490 loss: 0.9490 2022/08/04 01:18:09 - mmengine - INFO - Epoch(train) [229][60/1879] lr: 1.0000e-04 eta: 4:10:43 time: 0.2925 data_time: 0.0232 memory: 8198 grad_norm: 7.5327 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9690 loss: 0.9690 2022/08/04 01:18:15 - mmengine - INFO - Epoch(train) [229][80/1879] lr: 1.0000e-04 eta: 4:10:38 time: 0.2864 data_time: 0.0221 memory: 8198 grad_norm: 7.3725 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7069 loss: 0.7069 2022/08/04 01:18:21 - mmengine - INFO - Epoch(train) [229][100/1879] lr: 1.0000e-04 eta: 4:10:32 time: 0.2916 data_time: 0.0256 memory: 8198 grad_norm: 7.4098 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9160 loss: 0.9160 2022/08/04 01:18:27 - mmengine - INFO - Epoch(train) [229][120/1879] lr: 1.0000e-04 eta: 4:10:26 time: 0.3054 data_time: 0.0220 memory: 8198 grad_norm: 7.4620 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0543 loss: 1.0543 2022/08/04 01:18:33 - mmengine - INFO - Epoch(train) [229][140/1879] lr: 1.0000e-04 eta: 4:10:20 time: 0.2837 data_time: 0.0205 memory: 8198 grad_norm: 7.2402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/08/04 01:18:38 - mmengine - INFO - Epoch(train) [229][160/1879] lr: 1.0000e-04 eta: 4:10:15 time: 0.2888 data_time: 0.0211 memory: 8198 grad_norm: 7.3554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9751 loss: 0.9751 2022/08/04 01:18:44 - mmengine - INFO - Epoch(train) [229][180/1879] lr: 1.0000e-04 eta: 4:10:09 time: 0.2861 data_time: 0.0219 memory: 8198 grad_norm: 7.5268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/08/04 01:18:50 - mmengine - INFO - Epoch(train) [229][200/1879] lr: 1.0000e-04 eta: 4:10:03 time: 0.2938 data_time: 0.0266 memory: 8198 grad_norm: 7.1748 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9168 loss: 0.9168 2022/08/04 01:18:56 - mmengine - INFO - Epoch(train) [229][220/1879] lr: 1.0000e-04 eta: 4:09:58 time: 0.2923 data_time: 0.0238 memory: 8198 grad_norm: 7.0128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/08/04 01:19:02 - mmengine - INFO - Epoch(train) [229][240/1879] lr: 1.0000e-04 eta: 4:09:52 time: 0.3032 data_time: 0.0203 memory: 8198 grad_norm: 7.2276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8261 loss: 0.8261 2022/08/04 01:19:08 - mmengine - INFO - Epoch(train) [229][260/1879] lr: 1.0000e-04 eta: 4:09:46 time: 0.2827 data_time: 0.0214 memory: 8198 grad_norm: 7.5483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/08/04 01:19:13 - mmengine - INFO - Epoch(train) [229][280/1879] lr: 1.0000e-04 eta: 4:09:40 time: 0.2858 data_time: 0.0206 memory: 8198 grad_norm: 7.3584 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9220 loss: 0.9220 2022/08/04 01:19:19 - mmengine - INFO - Epoch(train) [229][300/1879] lr: 1.0000e-04 eta: 4:09:35 time: 0.2920 data_time: 0.0257 memory: 8198 grad_norm: 7.5637 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8055 loss: 0.8055 2022/08/04 01:19:25 - mmengine - INFO - Epoch(train) [229][320/1879] lr: 1.0000e-04 eta: 4:09:29 time: 0.2850 data_time: 0.0213 memory: 8198 grad_norm: 7.4127 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9572 loss: 0.9572 2022/08/04 01:19:31 - mmengine - INFO - Epoch(train) [229][340/1879] lr: 1.0000e-04 eta: 4:09:23 time: 0.2894 data_time: 0.0221 memory: 8198 grad_norm: 7.5456 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1151 loss: 1.1151 2022/08/04 01:19:37 - mmengine - INFO - Epoch(train) [229][360/1879] lr: 1.0000e-04 eta: 4:09:18 time: 0.2894 data_time: 0.0189 memory: 8198 grad_norm: 7.0646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9371 loss: 0.9371 2022/08/04 01:19:42 - mmengine - INFO - Epoch(train) [229][380/1879] lr: 1.0000e-04 eta: 4:09:12 time: 0.2874 data_time: 0.0223 memory: 8198 grad_norm: 7.5204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9371 loss: 0.9371 2022/08/04 01:19:48 - mmengine - INFO - Epoch(train) [229][400/1879] lr: 1.0000e-04 eta: 4:09:06 time: 0.2941 data_time: 0.0258 memory: 8198 grad_norm: 7.2673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8603 loss: 0.8603 2022/08/04 01:19:54 - mmengine - INFO - Epoch(train) [229][420/1879] lr: 1.0000e-04 eta: 4:09:00 time: 0.2857 data_time: 0.0256 memory: 8198 grad_norm: 7.3508 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9539 loss: 0.9539 2022/08/04 01:20:00 - mmengine - INFO - Epoch(train) [229][440/1879] lr: 1.0000e-04 eta: 4:08:55 time: 0.2853 data_time: 0.0246 memory: 8198 grad_norm: 7.1694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8451 loss: 0.8451 2022/08/04 01:20:06 - mmengine - INFO - Epoch(train) [229][460/1879] lr: 1.0000e-04 eta: 4:08:49 time: 0.2968 data_time: 0.0229 memory: 8198 grad_norm: 7.4018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9112 loss: 0.9112 2022/08/04 01:20:12 - mmengine - INFO - Epoch(train) [229][480/1879] lr: 1.0000e-04 eta: 4:08:43 time: 0.2859 data_time: 0.0250 memory: 8198 grad_norm: 7.3357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8971 loss: 0.8971 2022/08/04 01:20:17 - mmengine - INFO - Epoch(train) [229][500/1879] lr: 1.0000e-04 eta: 4:08:38 time: 0.2849 data_time: 0.0219 memory: 8198 grad_norm: 7.2745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0327 loss: 1.0327 2022/08/04 01:20:23 - mmengine - INFO - Epoch(train) [229][520/1879] lr: 1.0000e-04 eta: 4:08:32 time: 0.2865 data_time: 0.0265 memory: 8198 grad_norm: 7.3528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/08/04 01:20:29 - mmengine - INFO - Epoch(train) [229][540/1879] lr: 1.0000e-04 eta: 4:08:26 time: 0.2907 data_time: 0.0202 memory: 8198 grad_norm: 7.3791 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9925 loss: 0.9925 2022/08/04 01:20:35 - mmengine - INFO - Epoch(train) [229][560/1879] lr: 1.0000e-04 eta: 4:08:20 time: 0.2859 data_time: 0.0253 memory: 8198 grad_norm: 7.5150 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0003 loss: 1.0003 2022/08/04 01:20:40 - mmengine - INFO - Epoch(train) [229][580/1879] lr: 1.0000e-04 eta: 4:08:15 time: 0.2861 data_time: 0.0234 memory: 8198 grad_norm: 7.5542 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9458 loss: 0.9458 2022/08/04 01:20:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:20:47 - mmengine - INFO - Epoch(train) [229][600/1879] lr: 1.0000e-04 eta: 4:08:09 time: 0.3060 data_time: 0.0185 memory: 8198 grad_norm: 7.4787 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8870 loss: 0.8870 2022/08/04 01:20:52 - mmengine - INFO - Epoch(train) [229][620/1879] lr: 1.0000e-04 eta: 4:08:03 time: 0.2838 data_time: 0.0197 memory: 8198 grad_norm: 7.4128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1335 loss: 1.1335 2022/08/04 01:20:58 - mmengine - INFO - Epoch(train) [229][640/1879] lr: 1.0000e-04 eta: 4:07:57 time: 0.2889 data_time: 0.0253 memory: 8198 grad_norm: 7.2903 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8976 loss: 0.8976 2022/08/04 01:21:04 - mmengine - INFO - Epoch(train) [229][660/1879] lr: 1.0000e-04 eta: 4:07:52 time: 0.2856 data_time: 0.0232 memory: 8198 grad_norm: 7.2064 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8762 loss: 0.8762 2022/08/04 01:21:10 - mmengine - INFO - Epoch(train) [229][680/1879] lr: 1.0000e-04 eta: 4:07:46 time: 0.3011 data_time: 0.0208 memory: 8198 grad_norm: 7.6423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0235 loss: 1.0235 2022/08/04 01:21:16 - mmengine - INFO - Epoch(train) [229][700/1879] lr: 1.0000e-04 eta: 4:07:40 time: 0.2943 data_time: 0.0198 memory: 8198 grad_norm: 7.4206 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9696 loss: 0.9696 2022/08/04 01:21:22 - mmengine - INFO - Epoch(train) [229][720/1879] lr: 1.0000e-04 eta: 4:07:35 time: 0.2859 data_time: 0.0216 memory: 8198 grad_norm: 7.4419 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0936 loss: 1.0936 2022/08/04 01:21:27 - mmengine - INFO - Epoch(train) [229][740/1879] lr: 1.0000e-04 eta: 4:07:29 time: 0.2888 data_time: 0.0229 memory: 8198 grad_norm: 7.5473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9214 loss: 0.9214 2022/08/04 01:21:33 - mmengine - INFO - Epoch(train) [229][760/1879] lr: 1.0000e-04 eta: 4:07:23 time: 0.2853 data_time: 0.0193 memory: 8198 grad_norm: 7.0064 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7932 loss: 0.7932 2022/08/04 01:21:39 - mmengine - INFO - Epoch(train) [229][780/1879] lr: 1.0000e-04 eta: 4:07:17 time: 0.2886 data_time: 0.0205 memory: 8198 grad_norm: 7.4161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0291 loss: 1.0291 2022/08/04 01:21:45 - mmengine - INFO - Epoch(train) [229][800/1879] lr: 1.0000e-04 eta: 4:07:12 time: 0.3019 data_time: 0.0240 memory: 8198 grad_norm: 7.2688 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9223 loss: 0.9223 2022/08/04 01:21:51 - mmengine - INFO - Epoch(train) [229][820/1879] lr: 1.0000e-04 eta: 4:07:06 time: 0.2850 data_time: 0.0211 memory: 8198 grad_norm: 7.4902 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9670 loss: 0.9670 2022/08/04 01:21:57 - mmengine - INFO - Epoch(train) [229][840/1879] lr: 1.0000e-04 eta: 4:07:00 time: 0.2910 data_time: 0.0246 memory: 8198 grad_norm: 7.1325 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9776 loss: 0.9776 2022/08/04 01:22:02 - mmengine - INFO - Epoch(train) [229][860/1879] lr: 1.0000e-04 eta: 4:06:55 time: 0.2856 data_time: 0.0206 memory: 8198 grad_norm: 7.2612 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/04 01:22:08 - mmengine - INFO - Epoch(train) [229][880/1879] lr: 1.0000e-04 eta: 4:06:49 time: 0.2889 data_time: 0.0218 memory: 8198 grad_norm: 7.2787 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8176 loss: 0.8176 2022/08/04 01:22:14 - mmengine - INFO - Epoch(train) [229][900/1879] lr: 1.0000e-04 eta: 4:06:43 time: 0.2867 data_time: 0.0257 memory: 8198 grad_norm: 7.3004 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9527 loss: 0.9527 2022/08/04 01:22:20 - mmengine - INFO - Epoch(train) [229][920/1879] lr: 1.0000e-04 eta: 4:06:37 time: 0.2881 data_time: 0.0207 memory: 8198 grad_norm: 7.1027 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7567 loss: 0.7567 2022/08/04 01:22:25 - mmengine - INFO - Epoch(train) [229][940/1879] lr: 1.0000e-04 eta: 4:06:32 time: 0.2834 data_time: 0.0181 memory: 8198 grad_norm: 7.4746 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9298 loss: 0.9298 2022/08/04 01:22:31 - mmengine - INFO - Epoch(train) [229][960/1879] lr: 1.0000e-04 eta: 4:06:26 time: 0.2904 data_time: 0.0243 memory: 8198 grad_norm: 7.2883 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9821 loss: 0.9821 2022/08/04 01:22:37 - mmengine - INFO - Epoch(train) [229][980/1879] lr: 1.0000e-04 eta: 4:06:20 time: 0.3071 data_time: 0.0200 memory: 8198 grad_norm: 7.3038 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8652 loss: 0.8652 2022/08/04 01:22:43 - mmengine - INFO - Epoch(train) [229][1000/1879] lr: 1.0000e-04 eta: 4:06:15 time: 0.2844 data_time: 0.0222 memory: 8198 grad_norm: 7.5993 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9400 loss: 0.9400 2022/08/04 01:22:49 - mmengine - INFO - Epoch(train) [229][1020/1879] lr: 1.0000e-04 eta: 4:06:09 time: 0.2872 data_time: 0.0227 memory: 8198 grad_norm: 7.3743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1041 loss: 1.1041 2022/08/04 01:22:55 - mmengine - INFO - Epoch(train) [229][1040/1879] lr: 1.0000e-04 eta: 4:06:03 time: 0.2855 data_time: 0.0225 memory: 8198 grad_norm: 7.2207 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9170 loss: 0.9170 2022/08/04 01:23:01 - mmengine - INFO - Epoch(train) [229][1060/1879] lr: 1.0000e-04 eta: 4:05:57 time: 0.2942 data_time: 0.0197 memory: 8198 grad_norm: 7.7197 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9180 loss: 0.9180 2022/08/04 01:23:06 - mmengine - INFO - Epoch(train) [229][1080/1879] lr: 1.0000e-04 eta: 4:05:52 time: 0.2906 data_time: 0.0198 memory: 8198 grad_norm: 7.2717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8630 loss: 0.8630 2022/08/04 01:23:12 - mmengine - INFO - Epoch(train) [229][1100/1879] lr: 1.0000e-04 eta: 4:05:46 time: 0.2884 data_time: 0.0219 memory: 8198 grad_norm: 7.3014 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1862 loss: 1.1862 2022/08/04 01:23:19 - mmengine - INFO - Epoch(train) [229][1120/1879] lr: 1.0000e-04 eta: 4:05:40 time: 0.3193 data_time: 0.0201 memory: 8198 grad_norm: 7.5180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8496 loss: 0.8496 2022/08/04 01:23:24 - mmengine - INFO - Epoch(train) [229][1140/1879] lr: 1.0000e-04 eta: 4:05:35 time: 0.2832 data_time: 0.0203 memory: 8198 grad_norm: 7.4809 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/08/04 01:23:30 - mmengine - INFO - Epoch(train) [229][1160/1879] lr: 1.0000e-04 eta: 4:05:29 time: 0.2879 data_time: 0.0241 memory: 8198 grad_norm: 7.5528 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/04 01:23:36 - mmengine - INFO - Epoch(train) [229][1180/1879] lr: 1.0000e-04 eta: 4:05:23 time: 0.2999 data_time: 0.0262 memory: 8198 grad_norm: 7.1118 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9434 loss: 0.9434 2022/08/04 01:23:42 - mmengine - INFO - Epoch(train) [229][1200/1879] lr: 1.0000e-04 eta: 4:05:17 time: 0.2812 data_time: 0.0202 memory: 8198 grad_norm: 7.0928 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8735 loss: 0.8735 2022/08/04 01:23:48 - mmengine - INFO - Epoch(train) [229][1220/1879] lr: 1.0000e-04 eta: 4:05:12 time: 0.2851 data_time: 0.0235 memory: 8198 grad_norm: 7.6280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0915 loss: 1.0915 2022/08/04 01:23:53 - mmengine - INFO - Epoch(train) [229][1240/1879] lr: 1.0000e-04 eta: 4:05:06 time: 0.2877 data_time: 0.0208 memory: 8198 grad_norm: 7.3693 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8245 loss: 0.8245 2022/08/04 01:24:00 - mmengine - INFO - Epoch(train) [229][1260/1879] lr: 1.0000e-04 eta: 4:05:00 time: 0.3157 data_time: 0.0229 memory: 8198 grad_norm: 7.5842 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1241 loss: 1.1241 2022/08/04 01:24:06 - mmengine - INFO - Epoch(train) [229][1280/1879] lr: 1.0000e-04 eta: 4:04:55 time: 0.2913 data_time: 0.0230 memory: 8198 grad_norm: 7.1997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9685 loss: 0.9685 2022/08/04 01:24:11 - mmengine - INFO - Epoch(train) [229][1300/1879] lr: 1.0000e-04 eta: 4:04:49 time: 0.2870 data_time: 0.0235 memory: 8198 grad_norm: 7.3940 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9507 loss: 0.9507 2022/08/04 01:24:17 - mmengine - INFO - Epoch(train) [229][1320/1879] lr: 1.0000e-04 eta: 4:04:43 time: 0.2917 data_time: 0.0190 memory: 8198 grad_norm: 7.2597 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9299 loss: 0.9299 2022/08/04 01:24:23 - mmengine - INFO - Epoch(train) [229][1340/1879] lr: 1.0000e-04 eta: 4:04:37 time: 0.2839 data_time: 0.0195 memory: 8198 grad_norm: 7.3063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9913 loss: 0.9913 2022/08/04 01:24:29 - mmengine - INFO - Epoch(train) [229][1360/1879] lr: 1.0000e-04 eta: 4:04:32 time: 0.2926 data_time: 0.0196 memory: 8198 grad_norm: 7.2573 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1103 loss: 1.1103 2022/08/04 01:24:34 - mmengine - INFO - Epoch(train) [229][1380/1879] lr: 1.0000e-04 eta: 4:04:26 time: 0.2849 data_time: 0.0239 memory: 8198 grad_norm: 7.3607 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0038 loss: 1.0038 2022/08/04 01:24:40 - mmengine - INFO - Epoch(train) [229][1400/1879] lr: 1.0000e-04 eta: 4:04:20 time: 0.2935 data_time: 0.0235 memory: 8198 grad_norm: 7.4838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/08/04 01:24:46 - mmengine - INFO - Epoch(train) [229][1420/1879] lr: 1.0000e-04 eta: 4:04:15 time: 0.2859 data_time: 0.0293 memory: 8198 grad_norm: 7.4471 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9960 loss: 0.9960 2022/08/04 01:24:52 - mmengine - INFO - Epoch(train) [229][1440/1879] lr: 1.0000e-04 eta: 4:04:09 time: 0.2888 data_time: 0.0193 memory: 8198 grad_norm: 7.4702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9595 loss: 0.9595 2022/08/04 01:24:58 - mmengine - INFO - Epoch(train) [229][1460/1879] lr: 1.0000e-04 eta: 4:04:03 time: 0.3142 data_time: 0.0191 memory: 8198 grad_norm: 7.5718 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9950 loss: 0.9950 2022/08/04 01:25:04 - mmengine - INFO - Epoch(train) [229][1480/1879] lr: 1.0000e-04 eta: 4:03:58 time: 0.2847 data_time: 0.0231 memory: 8198 grad_norm: 7.1869 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9520 loss: 0.9520 2022/08/04 01:25:10 - mmengine - INFO - Epoch(train) [229][1500/1879] lr: 1.0000e-04 eta: 4:03:52 time: 0.2885 data_time: 0.0203 memory: 8198 grad_norm: 7.1709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/08/04 01:25:16 - mmengine - INFO - Epoch(train) [229][1520/1879] lr: 1.0000e-04 eta: 4:03:46 time: 0.2965 data_time: 0.0217 memory: 8198 grad_norm: 7.3510 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9143 loss: 0.9143 2022/08/04 01:25:22 - mmengine - INFO - Epoch(train) [229][1540/1879] lr: 1.0000e-04 eta: 4:03:40 time: 0.3011 data_time: 0.0225 memory: 8198 grad_norm: 7.1993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9383 loss: 0.9383 2022/08/04 01:25:28 - mmengine - INFO - Epoch(train) [229][1560/1879] lr: 1.0000e-04 eta: 4:03:35 time: 0.2849 data_time: 0.0195 memory: 8198 grad_norm: 7.5486 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7492 loss: 0.7492 2022/08/04 01:25:33 - mmengine - INFO - Epoch(train) [229][1580/1879] lr: 1.0000e-04 eta: 4:03:29 time: 0.2862 data_time: 0.0212 memory: 8198 grad_norm: 7.2406 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9129 loss: 0.9129 2022/08/04 01:25:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:25:39 - mmengine - INFO - Epoch(train) [229][1600/1879] lr: 1.0000e-04 eta: 4:03:23 time: 0.2934 data_time: 0.0199 memory: 8198 grad_norm: 7.1538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/08/04 01:25:45 - mmengine - INFO - Epoch(train) [229][1620/1879] lr: 1.0000e-04 eta: 4:03:17 time: 0.2845 data_time: 0.0230 memory: 8198 grad_norm: 7.4222 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8694 loss: 0.8694 2022/08/04 01:25:51 - mmengine - INFO - Epoch(train) [229][1640/1879] lr: 1.0000e-04 eta: 4:03:12 time: 0.2888 data_time: 0.0178 memory: 8198 grad_norm: 7.3766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/08/04 01:25:57 - mmengine - INFO - Epoch(train) [229][1660/1879] lr: 1.0000e-04 eta: 4:03:06 time: 0.3029 data_time: 0.0221 memory: 8198 grad_norm: 7.2838 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9338 loss: 0.9338 2022/08/04 01:26:02 - mmengine - INFO - Epoch(train) [229][1680/1879] lr: 1.0000e-04 eta: 4:03:00 time: 0.2840 data_time: 0.0214 memory: 8198 grad_norm: 7.4613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1188 loss: 1.1188 2022/08/04 01:26:08 - mmengine - INFO - Epoch(train) [229][1700/1879] lr: 1.0000e-04 eta: 4:02:55 time: 0.2882 data_time: 0.0267 memory: 8198 grad_norm: 7.2525 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/08/04 01:26:14 - mmengine - INFO - Epoch(train) [229][1720/1879] lr: 1.0000e-04 eta: 4:02:49 time: 0.2867 data_time: 0.0201 memory: 8198 grad_norm: 7.1199 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0455 loss: 1.0455 2022/08/04 01:26:20 - mmengine - INFO - Epoch(train) [229][1740/1879] lr: 1.0000e-04 eta: 4:02:43 time: 0.2878 data_time: 0.0216 memory: 8198 grad_norm: 7.1407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0399 loss: 1.0399 2022/08/04 01:26:26 - mmengine - INFO - Epoch(train) [229][1760/1879] lr: 1.0000e-04 eta: 4:02:37 time: 0.2886 data_time: 0.0203 memory: 8198 grad_norm: 7.3478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9232 loss: 0.9232 2022/08/04 01:26:31 - mmengine - INFO - Epoch(train) [229][1780/1879] lr: 1.0000e-04 eta: 4:02:32 time: 0.2845 data_time: 0.0272 memory: 8198 grad_norm: 7.6083 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1292 loss: 1.1292 2022/08/04 01:26:37 - mmengine - INFO - Epoch(train) [229][1800/1879] lr: 1.0000e-04 eta: 4:02:26 time: 0.2880 data_time: 0.0228 memory: 8198 grad_norm: 7.4055 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/08/04 01:26:43 - mmengine - INFO - Epoch(train) [229][1820/1879] lr: 1.0000e-04 eta: 4:02:20 time: 0.2873 data_time: 0.0244 memory: 8198 grad_norm: 7.0798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8570 loss: 0.8570 2022/08/04 01:26:49 - mmengine - INFO - Epoch(train) [229][1840/1879] lr: 1.0000e-04 eta: 4:02:15 time: 0.2879 data_time: 0.0223 memory: 8198 grad_norm: 7.4939 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0217 loss: 1.0217 2022/08/04 01:26:55 - mmengine - INFO - Epoch(train) [229][1860/1879] lr: 1.0000e-04 eta: 4:02:09 time: 0.2867 data_time: 0.0219 memory: 8198 grad_norm: 7.6413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/08/04 01:27:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:27:00 - mmengine - INFO - Epoch(train) [229][1879/1879] lr: 1.0000e-04 eta: 4:02:09 time: 0.2789 data_time: 0.0166 memory: 8198 grad_norm: 7.5483 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9111 loss: 0.9111 2022/08/04 01:27:08 - mmengine - INFO - Epoch(train) [230][20/1879] lr: 1.0000e-04 eta: 4:01:57 time: 0.3958 data_time: 0.1133 memory: 8198 grad_norm: 7.4968 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0678 loss: 1.0678 2022/08/04 01:27:14 - mmengine - INFO - Epoch(train) [230][40/1879] lr: 1.0000e-04 eta: 4:01:52 time: 0.2924 data_time: 0.0203 memory: 8198 grad_norm: 7.4699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0238 loss: 1.0238 2022/08/04 01:27:20 - mmengine - INFO - Epoch(train) [230][60/1879] lr: 1.0000e-04 eta: 4:01:46 time: 0.3119 data_time: 0.0258 memory: 8198 grad_norm: 7.3090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8677 loss: 0.8677 2022/08/04 01:27:26 - mmengine - INFO - Epoch(train) [230][80/1879] lr: 1.0000e-04 eta: 4:01:40 time: 0.2856 data_time: 0.0213 memory: 8198 grad_norm: 7.4927 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8695 loss: 0.8695 2022/08/04 01:27:31 - mmengine - INFO - Epoch(train) [230][100/1879] lr: 1.0000e-04 eta: 4:01:34 time: 0.2862 data_time: 0.0229 memory: 8198 grad_norm: 7.5009 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0100 loss: 1.0100 2022/08/04 01:27:37 - mmengine - INFO - Epoch(train) [230][120/1879] lr: 1.0000e-04 eta: 4:01:29 time: 0.2897 data_time: 0.0239 memory: 8198 grad_norm: 7.5214 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1521 loss: 1.1521 2022/08/04 01:27:43 - mmengine - INFO - Epoch(train) [230][140/1879] lr: 1.0000e-04 eta: 4:01:23 time: 0.2857 data_time: 0.0229 memory: 8198 grad_norm: 7.3984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/08/04 01:27:49 - mmengine - INFO - Epoch(train) [230][160/1879] lr: 1.0000e-04 eta: 4:01:17 time: 0.2870 data_time: 0.0255 memory: 8198 grad_norm: 7.3790 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9885 loss: 0.9885 2022/08/04 01:27:55 - mmengine - INFO - Epoch(train) [230][180/1879] lr: 1.0000e-04 eta: 4:01:12 time: 0.2882 data_time: 0.0204 memory: 8198 grad_norm: 7.5671 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0091 loss: 1.0091 2022/08/04 01:28:01 - mmengine - INFO - Epoch(train) [230][200/1879] lr: 1.0000e-04 eta: 4:01:06 time: 0.3045 data_time: 0.0194 memory: 8198 grad_norm: 7.5192 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9862 loss: 0.9862 2022/08/04 01:28:06 - mmengine - INFO - Epoch(train) [230][220/1879] lr: 1.0000e-04 eta: 4:01:00 time: 0.2859 data_time: 0.0217 memory: 8198 grad_norm: 7.3643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/08/04 01:28:12 - mmengine - INFO - Epoch(train) [230][240/1879] lr: 1.0000e-04 eta: 4:00:54 time: 0.2899 data_time: 0.0243 memory: 8198 grad_norm: 7.1546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7812 loss: 0.7812 2022/08/04 01:28:18 - mmengine - INFO - Epoch(train) [230][260/1879] lr: 1.0000e-04 eta: 4:00:49 time: 0.3031 data_time: 0.0181 memory: 8198 grad_norm: 7.3298 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9952 loss: 0.9952 2022/08/04 01:28:24 - mmengine - INFO - Epoch(train) [230][280/1879] lr: 1.0000e-04 eta: 4:00:43 time: 0.2864 data_time: 0.0238 memory: 8198 grad_norm: 7.1099 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7686 loss: 0.7686 2022/08/04 01:28:30 - mmengine - INFO - Epoch(train) [230][300/1879] lr: 1.0000e-04 eta: 4:00:37 time: 0.2942 data_time: 0.0293 memory: 8198 grad_norm: 7.2769 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7802 loss: 0.7802 2022/08/04 01:28:36 - mmengine - INFO - Epoch(train) [230][320/1879] lr: 1.0000e-04 eta: 4:00:32 time: 0.2907 data_time: 0.0222 memory: 8198 grad_norm: 7.2632 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8877 loss: 0.8877 2022/08/04 01:28:42 - mmengine - INFO - Epoch(train) [230][340/1879] lr: 1.0000e-04 eta: 4:00:26 time: 0.2967 data_time: 0.0190 memory: 8198 grad_norm: 7.5030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8840 loss: 0.8840 2022/08/04 01:28:48 - mmengine - INFO - Epoch(train) [230][360/1879] lr: 1.0000e-04 eta: 4:00:20 time: 0.2963 data_time: 0.0197 memory: 8198 grad_norm: 7.1912 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9950 loss: 0.9950 2022/08/04 01:28:54 - mmengine - INFO - Epoch(train) [230][380/1879] lr: 1.0000e-04 eta: 4:00:15 time: 0.2876 data_time: 0.0219 memory: 8198 grad_norm: 7.1651 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0552 loss: 1.0552 2022/08/04 01:28:59 - mmengine - INFO - Epoch(train) [230][400/1879] lr: 1.0000e-04 eta: 4:00:09 time: 0.2863 data_time: 0.0203 memory: 8198 grad_norm: 7.2235 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8933 loss: 0.8933 2022/08/04 01:29:05 - mmengine - INFO - Epoch(train) [230][420/1879] lr: 1.0000e-04 eta: 4:00:03 time: 0.2863 data_time: 0.0264 memory: 8198 grad_norm: 7.5676 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0242 loss: 1.0242 2022/08/04 01:29:11 - mmengine - INFO - Epoch(train) [230][440/1879] lr: 1.0000e-04 eta: 3:59:57 time: 0.2855 data_time: 0.0218 memory: 8198 grad_norm: 7.3001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9266 loss: 0.9266 2022/08/04 01:29:17 - mmengine - INFO - Epoch(train) [230][460/1879] lr: 1.0000e-04 eta: 3:59:52 time: 0.2907 data_time: 0.0199 memory: 8198 grad_norm: 7.6329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9198 loss: 0.9198 2022/08/04 01:29:23 - mmengine - INFO - Epoch(train) [230][480/1879] lr: 1.0000e-04 eta: 3:59:46 time: 0.2888 data_time: 0.0204 memory: 8198 grad_norm: 7.4765 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/08/04 01:29:28 - mmengine - INFO - Epoch(train) [230][500/1879] lr: 1.0000e-04 eta: 3:59:40 time: 0.2876 data_time: 0.0213 memory: 8198 grad_norm: 7.3855 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9897 loss: 0.9897 2022/08/04 01:29:34 - mmengine - INFO - Epoch(train) [230][520/1879] lr: 1.0000e-04 eta: 3:59:34 time: 0.2860 data_time: 0.0251 memory: 8198 grad_norm: 7.4354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6901 loss: 0.6901 2022/08/04 01:29:40 - mmengine - INFO - Epoch(train) [230][540/1879] lr: 1.0000e-04 eta: 3:59:29 time: 0.2934 data_time: 0.0251 memory: 8198 grad_norm: 7.4055 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9171 loss: 0.9171 2022/08/04 01:29:46 - mmengine - INFO - Epoch(train) [230][560/1879] lr: 1.0000e-04 eta: 3:59:23 time: 0.2843 data_time: 0.0227 memory: 8198 grad_norm: 7.3278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8682 loss: 0.8682 2022/08/04 01:29:51 - mmengine - INFO - Epoch(train) [230][580/1879] lr: 1.0000e-04 eta: 3:59:17 time: 0.2859 data_time: 0.0205 memory: 8198 grad_norm: 7.4221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/08/04 01:29:57 - mmengine - INFO - Epoch(train) [230][600/1879] lr: 1.0000e-04 eta: 3:59:12 time: 0.2966 data_time: 0.0231 memory: 8198 grad_norm: 7.5242 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1386 loss: 1.1386 2022/08/04 01:30:03 - mmengine - INFO - Epoch(train) [230][620/1879] lr: 1.0000e-04 eta: 3:59:06 time: 0.2871 data_time: 0.0239 memory: 8198 grad_norm: 7.8395 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0792 loss: 1.0792 2022/08/04 01:30:09 - mmengine - INFO - Epoch(train) [230][640/1879] lr: 1.0000e-04 eta: 3:59:00 time: 0.2847 data_time: 0.0211 memory: 8198 grad_norm: 7.2940 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9039 loss: 0.9039 2022/08/04 01:30:15 - mmengine - INFO - Epoch(train) [230][660/1879] lr: 1.0000e-04 eta: 3:58:54 time: 0.2858 data_time: 0.0170 memory: 8198 grad_norm: 7.4595 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8772 loss: 0.8772 2022/08/04 01:30:20 - mmengine - INFO - Epoch(train) [230][680/1879] lr: 1.0000e-04 eta: 3:58:49 time: 0.2874 data_time: 0.0209 memory: 8198 grad_norm: 7.4393 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8996 loss: 0.8996 2022/08/04 01:30:26 - mmengine - INFO - Epoch(train) [230][700/1879] lr: 1.0000e-04 eta: 3:58:43 time: 0.2872 data_time: 0.0255 memory: 8198 grad_norm: 7.3457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9517 loss: 0.9517 2022/08/04 01:30:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:30:32 - mmengine - INFO - Epoch(train) [230][720/1879] lr: 1.0000e-04 eta: 3:58:37 time: 0.2866 data_time: 0.0228 memory: 8198 grad_norm: 7.0989 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8206 loss: 0.8206 2022/08/04 01:30:38 - mmengine - INFO - Epoch(train) [230][740/1879] lr: 1.0000e-04 eta: 3:58:32 time: 0.2914 data_time: 0.0244 memory: 8198 grad_norm: 7.4091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7862 loss: 0.7862 2022/08/04 01:30:44 - mmengine - INFO - Epoch(train) [230][760/1879] lr: 1.0000e-04 eta: 3:58:26 time: 0.2869 data_time: 0.0196 memory: 8198 grad_norm: 7.2610 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/08/04 01:30:49 - mmengine - INFO - Epoch(train) [230][780/1879] lr: 1.0000e-04 eta: 3:58:20 time: 0.2864 data_time: 0.0230 memory: 8198 grad_norm: 7.2952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/08/04 01:30:55 - mmengine - INFO - Epoch(train) [230][800/1879] lr: 1.0000e-04 eta: 3:58:14 time: 0.2868 data_time: 0.0190 memory: 8198 grad_norm: 7.1511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0625 loss: 1.0625 2022/08/04 01:31:01 - mmengine - INFO - Epoch(train) [230][820/1879] lr: 1.0000e-04 eta: 3:58:09 time: 0.2940 data_time: 0.0211 memory: 8198 grad_norm: 7.2493 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8633 loss: 0.8633 2022/08/04 01:31:07 - mmengine - INFO - Epoch(train) [230][840/1879] lr: 1.0000e-04 eta: 3:58:03 time: 0.2877 data_time: 0.0204 memory: 8198 grad_norm: 7.2822 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9543 loss: 0.9543 2022/08/04 01:31:13 - mmengine - INFO - Epoch(train) [230][860/1879] lr: 1.0000e-04 eta: 3:57:57 time: 0.2849 data_time: 0.0190 memory: 8198 grad_norm: 7.5409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0448 loss: 1.0448 2022/08/04 01:31:19 - mmengine - INFO - Epoch(train) [230][880/1879] lr: 1.0000e-04 eta: 3:57:51 time: 0.3078 data_time: 0.0209 memory: 8198 grad_norm: 7.1618 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8353 loss: 0.8353 2022/08/04 01:31:24 - mmengine - INFO - Epoch(train) [230][900/1879] lr: 1.0000e-04 eta: 3:57:46 time: 0.2831 data_time: 0.0224 memory: 8198 grad_norm: 7.2195 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9337 loss: 0.9337 2022/08/04 01:31:30 - mmengine - INFO - Epoch(train) [230][920/1879] lr: 1.0000e-04 eta: 3:57:40 time: 0.2919 data_time: 0.0249 memory: 8198 grad_norm: 7.6927 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9341 loss: 0.9341 2022/08/04 01:31:36 - mmengine - INFO - Epoch(train) [230][940/1879] lr: 1.0000e-04 eta: 3:57:34 time: 0.2857 data_time: 0.0259 memory: 8198 grad_norm: 7.3056 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/04 01:31:42 - mmengine - INFO - Epoch(train) [230][960/1879] lr: 1.0000e-04 eta: 3:57:29 time: 0.2922 data_time: 0.0224 memory: 8198 grad_norm: 7.3567 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9672 loss: 0.9672 2022/08/04 01:31:48 - mmengine - INFO - Epoch(train) [230][980/1879] lr: 1.0000e-04 eta: 3:57:23 time: 0.2875 data_time: 0.0216 memory: 8198 grad_norm: 7.4168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9250 loss: 0.9250 2022/08/04 01:31:53 - mmengine - INFO - Epoch(train) [230][1000/1879] lr: 1.0000e-04 eta: 3:57:17 time: 0.2861 data_time: 0.0220 memory: 8198 grad_norm: 7.4136 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9920 loss: 0.9920 2022/08/04 01:31:59 - mmengine - INFO - Epoch(train) [230][1020/1879] lr: 1.0000e-04 eta: 3:57:11 time: 0.2926 data_time: 0.0219 memory: 8198 grad_norm: 7.3189 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8415 loss: 0.8415 2022/08/04 01:32:05 - mmengine - INFO - Epoch(train) [230][1040/1879] lr: 1.0000e-04 eta: 3:57:06 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 7.2510 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9051 loss: 0.9051 2022/08/04 01:32:11 - mmengine - INFO - Epoch(train) [230][1060/1879] lr: 1.0000e-04 eta: 3:57:00 time: 0.2851 data_time: 0.0228 memory: 8198 grad_norm: 7.2231 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1322 loss: 1.1322 2022/08/04 01:32:17 - mmengine - INFO - Epoch(train) [230][1080/1879] lr: 1.0000e-04 eta: 3:56:54 time: 0.2934 data_time: 0.0262 memory: 8198 grad_norm: 7.4503 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9798 loss: 0.9798 2022/08/04 01:32:22 - mmengine - INFO - Epoch(train) [230][1100/1879] lr: 1.0000e-04 eta: 3:56:49 time: 0.2837 data_time: 0.0224 memory: 8198 grad_norm: 7.3614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0475 loss: 1.0475 2022/08/04 01:32:28 - mmengine - INFO - Epoch(train) [230][1120/1879] lr: 1.0000e-04 eta: 3:56:43 time: 0.2872 data_time: 0.0216 memory: 8198 grad_norm: 7.4917 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/08/04 01:32:34 - mmengine - INFO - Epoch(train) [230][1140/1879] lr: 1.0000e-04 eta: 3:56:37 time: 0.2839 data_time: 0.0226 memory: 8198 grad_norm: 7.5142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8484 loss: 0.8484 2022/08/04 01:32:40 - mmengine - INFO - Epoch(train) [230][1160/1879] lr: 1.0000e-04 eta: 3:56:31 time: 0.2921 data_time: 0.0221 memory: 8198 grad_norm: 7.2931 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8889 loss: 0.8889 2022/08/04 01:32:46 - mmengine - INFO - Epoch(train) [230][1180/1879] lr: 1.0000e-04 eta: 3:56:26 time: 0.2867 data_time: 0.0196 memory: 8198 grad_norm: 7.4305 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0122 loss: 1.0122 2022/08/04 01:32:51 - mmengine - INFO - Epoch(train) [230][1200/1879] lr: 1.0000e-04 eta: 3:56:20 time: 0.2869 data_time: 0.0187 memory: 8198 grad_norm: 7.3893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/04 01:32:57 - mmengine - INFO - Epoch(train) [230][1220/1879] lr: 1.0000e-04 eta: 3:56:14 time: 0.2906 data_time: 0.0266 memory: 8198 grad_norm: 7.5671 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9792 loss: 0.9792 2022/08/04 01:33:03 - mmengine - INFO - Epoch(train) [230][1240/1879] lr: 1.0000e-04 eta: 3:56:08 time: 0.2877 data_time: 0.0210 memory: 8198 grad_norm: 7.2453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8527 loss: 0.8527 2022/08/04 01:33:09 - mmengine - INFO - Epoch(train) [230][1260/1879] lr: 1.0000e-04 eta: 3:56:03 time: 0.2887 data_time: 0.0231 memory: 8198 grad_norm: 7.4735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0621 loss: 1.0621 2022/08/04 01:33:14 - mmengine - INFO - Epoch(train) [230][1280/1879] lr: 1.0000e-04 eta: 3:55:57 time: 0.2861 data_time: 0.0244 memory: 8198 grad_norm: 7.3744 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0382 loss: 1.0382 2022/08/04 01:33:20 - mmengine - INFO - Epoch(train) [230][1300/1879] lr: 1.0000e-04 eta: 3:55:51 time: 0.2915 data_time: 0.0278 memory: 8198 grad_norm: 7.6039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0496 loss: 1.0496 2022/08/04 01:33:26 - mmengine - INFO - Epoch(train) [230][1320/1879] lr: 1.0000e-04 eta: 3:55:46 time: 0.2892 data_time: 0.0210 memory: 8198 grad_norm: 7.1339 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8564 loss: 0.8564 2022/08/04 01:33:32 - mmengine - INFO - Epoch(train) [230][1340/1879] lr: 1.0000e-04 eta: 3:55:40 time: 0.2859 data_time: 0.0202 memory: 8198 grad_norm: 7.6067 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0335 loss: 1.0335 2022/08/04 01:33:38 - mmengine - INFO - Epoch(train) [230][1360/1879] lr: 1.0000e-04 eta: 3:55:34 time: 0.2910 data_time: 0.0243 memory: 8198 grad_norm: 7.2121 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9305 loss: 0.9305 2022/08/04 01:33:43 - mmengine - INFO - Epoch(train) [230][1380/1879] lr: 1.0000e-04 eta: 3:55:28 time: 0.2851 data_time: 0.0214 memory: 8198 grad_norm: 7.3842 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0854 loss: 1.0854 2022/08/04 01:33:49 - mmengine - INFO - Epoch(train) [230][1400/1879] lr: 1.0000e-04 eta: 3:55:23 time: 0.2882 data_time: 0.0263 memory: 8198 grad_norm: 7.6638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9955 loss: 0.9955 2022/08/04 01:33:55 - mmengine - INFO - Epoch(train) [230][1420/1879] lr: 1.0000e-04 eta: 3:55:17 time: 0.2855 data_time: 0.0198 memory: 8198 grad_norm: 7.4095 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/08/04 01:34:01 - mmengine - INFO - Epoch(train) [230][1440/1879] lr: 1.0000e-04 eta: 3:55:11 time: 0.2880 data_time: 0.0220 memory: 8198 grad_norm: 7.4978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9554 loss: 0.9554 2022/08/04 01:34:07 - mmengine - INFO - Epoch(train) [230][1460/1879] lr: 1.0000e-04 eta: 3:55:06 time: 0.2866 data_time: 0.0238 memory: 8198 grad_norm: 7.3784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0024 loss: 1.0024 2022/08/04 01:34:12 - mmengine - INFO - Epoch(train) [230][1480/1879] lr: 1.0000e-04 eta: 3:55:00 time: 0.2866 data_time: 0.0258 memory: 8198 grad_norm: 7.2426 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0859 loss: 1.0859 2022/08/04 01:34:18 - mmengine - INFO - Epoch(train) [230][1500/1879] lr: 1.0000e-04 eta: 3:54:54 time: 0.2983 data_time: 0.0188 memory: 8198 grad_norm: 7.5006 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/08/04 01:34:24 - mmengine - INFO - Epoch(train) [230][1520/1879] lr: 1.0000e-04 eta: 3:54:48 time: 0.2934 data_time: 0.0217 memory: 8198 grad_norm: 7.2880 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8619 loss: 0.8619 2022/08/04 01:34:30 - mmengine - INFO - Epoch(train) [230][1540/1879] lr: 1.0000e-04 eta: 3:54:43 time: 0.2851 data_time: 0.0227 memory: 8198 grad_norm: 7.2153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/08/04 01:34:36 - mmengine - INFO - Epoch(train) [230][1560/1879] lr: 1.0000e-04 eta: 3:54:37 time: 0.2870 data_time: 0.0235 memory: 8198 grad_norm: 7.4640 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8449 loss: 0.8449 2022/08/04 01:34:41 - mmengine - INFO - Epoch(train) [230][1580/1879] lr: 1.0000e-04 eta: 3:54:31 time: 0.2871 data_time: 0.0223 memory: 8198 grad_norm: 7.5189 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0521 loss: 1.0521 2022/08/04 01:34:47 - mmengine - INFO - Epoch(train) [230][1600/1879] lr: 1.0000e-04 eta: 3:54:26 time: 0.2873 data_time: 0.0250 memory: 8198 grad_norm: 7.0901 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8048 loss: 0.8048 2022/08/04 01:34:53 - mmengine - INFO - Epoch(train) [230][1620/1879] lr: 1.0000e-04 eta: 3:54:20 time: 0.2861 data_time: 0.0257 memory: 8198 grad_norm: 7.2176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9594 loss: 0.9594 2022/08/04 01:34:59 - mmengine - INFO - Epoch(train) [230][1640/1879] lr: 1.0000e-04 eta: 3:54:14 time: 0.2904 data_time: 0.0223 memory: 8198 grad_norm: 7.5007 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/08/04 01:35:05 - mmengine - INFO - Epoch(train) [230][1660/1879] lr: 1.0000e-04 eta: 3:54:08 time: 0.2868 data_time: 0.0190 memory: 8198 grad_norm: 7.1827 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9453 loss: 0.9453 2022/08/04 01:35:10 - mmengine - INFO - Epoch(train) [230][1680/1879] lr: 1.0000e-04 eta: 3:54:03 time: 0.2882 data_time: 0.0236 memory: 8198 grad_norm: 7.1430 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1611 loss: 1.1611 2022/08/04 01:35:16 - mmengine - INFO - Epoch(train) [230][1700/1879] lr: 1.0000e-04 eta: 3:53:57 time: 0.2870 data_time: 0.0231 memory: 8198 grad_norm: 7.6052 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0924 loss: 1.0924 2022/08/04 01:35:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:35:22 - mmengine - INFO - Epoch(train) [230][1720/1879] lr: 1.0000e-04 eta: 3:53:51 time: 0.2902 data_time: 0.0231 memory: 8198 grad_norm: 7.2851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0260 loss: 1.0260 2022/08/04 01:35:28 - mmengine - INFO - Epoch(train) [230][1740/1879] lr: 1.0000e-04 eta: 3:53:45 time: 0.2882 data_time: 0.0232 memory: 8198 grad_norm: 7.5293 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0893 loss: 1.0893 2022/08/04 01:35:34 - mmengine - INFO - Epoch(train) [230][1760/1879] lr: 1.0000e-04 eta: 3:53:40 time: 0.2890 data_time: 0.0210 memory: 8198 grad_norm: 7.3487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/08/04 01:35:40 - mmengine - INFO - Epoch(train) [230][1780/1879] lr: 1.0000e-04 eta: 3:53:34 time: 0.3020 data_time: 0.0206 memory: 8198 grad_norm: 7.2474 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8989 loss: 0.8989 2022/08/04 01:35:45 - mmengine - INFO - Epoch(train) [230][1800/1879] lr: 1.0000e-04 eta: 3:53:28 time: 0.2852 data_time: 0.0236 memory: 8198 grad_norm: 7.2465 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/08/04 01:35:51 - mmengine - INFO - Epoch(train) [230][1820/1879] lr: 1.0000e-04 eta: 3:53:23 time: 0.2919 data_time: 0.0268 memory: 8198 grad_norm: 7.2206 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7239 loss: 0.7239 2022/08/04 01:35:57 - mmengine - INFO - Epoch(train) [230][1840/1879] lr: 1.0000e-04 eta: 3:53:17 time: 0.2927 data_time: 0.0190 memory: 8198 grad_norm: 7.4091 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9155 loss: 0.9155 2022/08/04 01:36:03 - mmengine - INFO - Epoch(train) [230][1860/1879] lr: 1.0000e-04 eta: 3:53:11 time: 0.2857 data_time: 0.0209 memory: 8198 grad_norm: 7.1128 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8975 loss: 0.8975 2022/08/04 01:36:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:36:08 - mmengine - INFO - Epoch(train) [230][1879/1879] lr: 1.0000e-04 eta: 3:53:11 time: 0.2714 data_time: 0.0165 memory: 8198 grad_norm: 7.2622 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0064 loss: 1.0064 2022/08/04 01:36:15 - mmengine - INFO - Epoch(val) [230][20/155] eta: 0:00:45 time: 0.3353 data_time: 0.2439 memory: 1514 2022/08/04 01:36:20 - mmengine - INFO - Epoch(val) [230][40/155] eta: 0:00:27 time: 0.2429 data_time: 0.1550 memory: 1514 2022/08/04 01:36:25 - mmengine - INFO - Epoch(val) [230][60/155] eta: 0:00:26 time: 0.2799 data_time: 0.1904 memory: 1514 2022/08/04 01:36:30 - mmengine - INFO - Epoch(val) [230][80/155] eta: 0:00:18 time: 0.2469 data_time: 0.1593 memory: 1514 2022/08/04 01:36:36 - mmengine - INFO - Epoch(val) [230][100/155] eta: 0:00:16 time: 0.3022 data_time: 0.2134 memory: 1514 2022/08/04 01:36:41 - mmengine - INFO - Epoch(val) [230][120/155] eta: 0:00:08 time: 0.2568 data_time: 0.1694 memory: 1514 2022/08/04 01:36:47 - mmengine - INFO - Epoch(val) [230][140/155] eta: 0:00:04 time: 0.2808 data_time: 0.1921 memory: 1514 2022/08/04 01:36:52 - mmengine - INFO - Epoch(val) [230][155/155] acc/top1: 0.6789 acc/top5: 0.8684 acc/mean1: 0.6787 2022/08/04 01:37:00 - mmengine - INFO - Epoch(train) [231][20/1879] lr: 1.0000e-04 eta: 3:53:00 time: 0.4152 data_time: 0.1003 memory: 8198 grad_norm: 7.3275 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9374 loss: 0.9374 2022/08/04 01:37:06 - mmengine - INFO - Epoch(train) [231][40/1879] lr: 1.0000e-04 eta: 3:52:54 time: 0.2923 data_time: 0.0204 memory: 8198 grad_norm: 7.2568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8746 loss: 0.8746 2022/08/04 01:37:12 - mmengine - INFO - Epoch(train) [231][60/1879] lr: 1.0000e-04 eta: 3:52:48 time: 0.2904 data_time: 0.0234 memory: 8198 grad_norm: 7.3538 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0940 loss: 1.0940 2022/08/04 01:37:18 - mmengine - INFO - Epoch(train) [231][80/1879] lr: 1.0000e-04 eta: 3:52:43 time: 0.2866 data_time: 0.0224 memory: 8198 grad_norm: 7.5232 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0031 loss: 1.0031 2022/08/04 01:37:23 - mmengine - INFO - Epoch(train) [231][100/1879] lr: 1.0000e-04 eta: 3:52:37 time: 0.2845 data_time: 0.0219 memory: 8198 grad_norm: 7.5326 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0168 loss: 1.0168 2022/08/04 01:37:30 - mmengine - INFO - Epoch(train) [231][120/1879] lr: 1.0000e-04 eta: 3:52:31 time: 0.3222 data_time: 0.0235 memory: 8198 grad_norm: 7.2057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/08/04 01:37:36 - mmengine - INFO - Epoch(train) [231][140/1879] lr: 1.0000e-04 eta: 3:52:25 time: 0.2853 data_time: 0.0262 memory: 8198 grad_norm: 7.1720 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0183 loss: 1.0183 2022/08/04 01:37:42 - mmengine - INFO - Epoch(train) [231][160/1879] lr: 1.0000e-04 eta: 3:52:20 time: 0.2923 data_time: 0.0273 memory: 8198 grad_norm: 7.4883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0681 loss: 1.0681 2022/08/04 01:37:47 - mmengine - INFO - Epoch(train) [231][180/1879] lr: 1.0000e-04 eta: 3:52:14 time: 0.2919 data_time: 0.0247 memory: 8198 grad_norm: 7.5839 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1837 loss: 1.1837 2022/08/04 01:37:53 - mmengine - INFO - Epoch(train) [231][200/1879] lr: 1.0000e-04 eta: 3:52:08 time: 0.2880 data_time: 0.0202 memory: 8198 grad_norm: 7.3012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9838 loss: 0.9838 2022/08/04 01:37:59 - mmengine - INFO - Epoch(train) [231][220/1879] lr: 1.0000e-04 eta: 3:52:03 time: 0.2915 data_time: 0.0212 memory: 8198 grad_norm: 7.3284 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9032 loss: 0.9032 2022/08/04 01:38:05 - mmengine - INFO - Epoch(train) [231][240/1879] lr: 1.0000e-04 eta: 3:51:57 time: 0.2818 data_time: 0.0182 memory: 8198 grad_norm: 7.3293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9725 loss: 0.9725 2022/08/04 01:38:11 - mmengine - INFO - Epoch(train) [231][260/1879] lr: 1.0000e-04 eta: 3:51:51 time: 0.3235 data_time: 0.0209 memory: 8198 grad_norm: 7.3722 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/08/04 01:38:17 - mmengine - INFO - Epoch(train) [231][280/1879] lr: 1.0000e-04 eta: 3:51:45 time: 0.2877 data_time: 0.0266 memory: 8198 grad_norm: 7.1421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9597 loss: 0.9597 2022/08/04 01:38:23 - mmengine - INFO - Epoch(train) [231][300/1879] lr: 1.0000e-04 eta: 3:51:40 time: 0.3057 data_time: 0.0254 memory: 8198 grad_norm: 7.1342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7608 loss: 0.7608 2022/08/04 01:38:29 - mmengine - INFO - Epoch(train) [231][320/1879] lr: 1.0000e-04 eta: 3:51:34 time: 0.2865 data_time: 0.0211 memory: 8198 grad_norm: 7.2323 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7571 loss: 0.7571 2022/08/04 01:38:35 - mmengine - INFO - Epoch(train) [231][340/1879] lr: 1.0000e-04 eta: 3:51:28 time: 0.2891 data_time: 0.0279 memory: 8198 grad_norm: 7.4996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9876 loss: 0.9876 2022/08/04 01:38:41 - mmengine - INFO - Epoch(train) [231][360/1879] lr: 1.0000e-04 eta: 3:51:23 time: 0.2959 data_time: 0.0208 memory: 8198 grad_norm: 7.2889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9468 loss: 0.9468 2022/08/04 01:38:47 - mmengine - INFO - Epoch(train) [231][380/1879] lr: 1.0000e-04 eta: 3:51:17 time: 0.2879 data_time: 0.0234 memory: 8198 grad_norm: 7.0806 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9628 loss: 0.9628 2022/08/04 01:38:52 - mmengine - INFO - Epoch(train) [231][400/1879] lr: 1.0000e-04 eta: 3:51:11 time: 0.2866 data_time: 0.0224 memory: 8198 grad_norm: 7.3181 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0159 loss: 1.0159 2022/08/04 01:38:58 - mmengine - INFO - Epoch(train) [231][420/1879] lr: 1.0000e-04 eta: 3:51:05 time: 0.2918 data_time: 0.0242 memory: 8198 grad_norm: 7.3754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1541 loss: 1.1541 2022/08/04 01:39:04 - mmengine - INFO - Epoch(train) [231][440/1879] lr: 1.0000e-04 eta: 3:51:00 time: 0.2884 data_time: 0.0236 memory: 8198 grad_norm: 7.5247 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8862 loss: 0.8862 2022/08/04 01:39:10 - mmengine - INFO - Epoch(train) [231][460/1879] lr: 1.0000e-04 eta: 3:50:54 time: 0.2867 data_time: 0.0230 memory: 8198 grad_norm: 7.4127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8699 loss: 0.8699 2022/08/04 01:39:16 - mmengine - INFO - Epoch(train) [231][480/1879] lr: 1.0000e-04 eta: 3:50:48 time: 0.2884 data_time: 0.0243 memory: 8198 grad_norm: 7.2220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/08/04 01:39:21 - mmengine - INFO - Epoch(train) [231][500/1879] lr: 1.0000e-04 eta: 3:50:43 time: 0.2897 data_time: 0.0247 memory: 8198 grad_norm: 7.6681 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/08/04 01:39:27 - mmengine - INFO - Epoch(train) [231][520/1879] lr: 1.0000e-04 eta: 3:50:37 time: 0.2847 data_time: 0.0168 memory: 8198 grad_norm: 7.6736 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0565 loss: 1.0565 2022/08/04 01:39:33 - mmengine - INFO - Epoch(train) [231][540/1879] lr: 1.0000e-04 eta: 3:50:31 time: 0.2894 data_time: 0.0215 memory: 8198 grad_norm: 7.2683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/08/04 01:39:39 - mmengine - INFO - Epoch(train) [231][560/1879] lr: 1.0000e-04 eta: 3:50:25 time: 0.2964 data_time: 0.0270 memory: 8198 grad_norm: 7.4550 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0986 loss: 1.0986 2022/08/04 01:39:45 - mmengine - INFO - Epoch(train) [231][580/1879] lr: 1.0000e-04 eta: 3:50:20 time: 0.2849 data_time: 0.0223 memory: 8198 grad_norm: 7.0386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/04 01:39:50 - mmengine - INFO - Epoch(train) [231][600/1879] lr: 1.0000e-04 eta: 3:50:14 time: 0.2869 data_time: 0.0205 memory: 8198 grad_norm: 7.0711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9679 loss: 0.9679 2022/08/04 01:39:56 - mmengine - INFO - Epoch(train) [231][620/1879] lr: 1.0000e-04 eta: 3:50:08 time: 0.2891 data_time: 0.0231 memory: 8198 grad_norm: 7.3807 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/08/04 01:40:02 - mmengine - INFO - Epoch(train) [231][640/1879] lr: 1.0000e-04 eta: 3:50:03 time: 0.2876 data_time: 0.0213 memory: 8198 grad_norm: 7.5128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/08/04 01:40:08 - mmengine - INFO - Epoch(train) [231][660/1879] lr: 1.0000e-04 eta: 3:49:57 time: 0.2894 data_time: 0.0239 memory: 8198 grad_norm: 7.2132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9510 loss: 0.9510 2022/08/04 01:40:14 - mmengine - INFO - Epoch(train) [231][680/1879] lr: 1.0000e-04 eta: 3:49:51 time: 0.2866 data_time: 0.0240 memory: 8198 grad_norm: 7.5923 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9999 loss: 0.9999 2022/08/04 01:40:19 - mmengine - INFO - Epoch(train) [231][700/1879] lr: 1.0000e-04 eta: 3:49:45 time: 0.2899 data_time: 0.0244 memory: 8198 grad_norm: 7.2901 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8313 loss: 0.8313 2022/08/04 01:40:25 - mmengine - INFO - Epoch(train) [231][720/1879] lr: 1.0000e-04 eta: 3:49:40 time: 0.2833 data_time: 0.0203 memory: 8198 grad_norm: 6.9841 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9211 loss: 0.9211 2022/08/04 01:40:31 - mmengine - INFO - Epoch(train) [231][740/1879] lr: 1.0000e-04 eta: 3:49:34 time: 0.2888 data_time: 0.0204 memory: 8198 grad_norm: 7.2529 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9396 loss: 0.9396 2022/08/04 01:40:37 - mmengine - INFO - Epoch(train) [231][760/1879] lr: 1.0000e-04 eta: 3:49:28 time: 0.2857 data_time: 0.0184 memory: 8198 grad_norm: 7.4662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/08/04 01:40:43 - mmengine - INFO - Epoch(train) [231][780/1879] lr: 1.0000e-04 eta: 3:49:23 time: 0.2916 data_time: 0.0225 memory: 8198 grad_norm: 7.4026 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/08/04 01:40:48 - mmengine - INFO - Epoch(train) [231][800/1879] lr: 1.0000e-04 eta: 3:49:17 time: 0.2890 data_time: 0.0207 memory: 8198 grad_norm: 7.3538 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9354 loss: 0.9354 2022/08/04 01:40:54 - mmengine - INFO - Epoch(train) [231][820/1879] lr: 1.0000e-04 eta: 3:49:11 time: 0.2869 data_time: 0.0277 memory: 8198 grad_norm: 7.2669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0345 loss: 1.0345 2022/08/04 01:40:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:41:00 - mmengine - INFO - Epoch(train) [231][840/1879] lr: 1.0000e-04 eta: 3:49:05 time: 0.2980 data_time: 0.0199 memory: 8198 grad_norm: 7.4564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0125 loss: 1.0125 2022/08/04 01:41:06 - mmengine - INFO - Epoch(train) [231][860/1879] lr: 1.0000e-04 eta: 3:49:00 time: 0.2863 data_time: 0.0240 memory: 8198 grad_norm: 7.4465 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/08/04 01:41:12 - mmengine - INFO - Epoch(train) [231][880/1879] lr: 1.0000e-04 eta: 3:48:54 time: 0.2926 data_time: 0.0212 memory: 8198 grad_norm: 7.4789 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/08/04 01:41:18 - mmengine - INFO - Epoch(train) [231][900/1879] lr: 1.0000e-04 eta: 3:48:48 time: 0.2882 data_time: 0.0232 memory: 8198 grad_norm: 7.3483 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9403 loss: 0.9403 2022/08/04 01:41:23 - mmengine - INFO - Epoch(train) [231][920/1879] lr: 1.0000e-04 eta: 3:48:42 time: 0.2880 data_time: 0.0185 memory: 8198 grad_norm: 7.2947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9450 loss: 0.9450 2022/08/04 01:41:29 - mmengine - INFO - Epoch(train) [231][940/1879] lr: 1.0000e-04 eta: 3:48:37 time: 0.2861 data_time: 0.0213 memory: 8198 grad_norm: 7.4187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8150 loss: 0.8150 2022/08/04 01:41:35 - mmengine - INFO - Epoch(train) [231][960/1879] lr: 1.0000e-04 eta: 3:48:31 time: 0.2863 data_time: 0.0212 memory: 8198 grad_norm: 7.3253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9916 loss: 0.9916 2022/08/04 01:41:41 - mmengine - INFO - Epoch(train) [231][980/1879] lr: 1.0000e-04 eta: 3:48:25 time: 0.3218 data_time: 0.0237 memory: 8198 grad_norm: 7.1748 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9068 loss: 0.9068 2022/08/04 01:41:47 - mmengine - INFO - Epoch(train) [231][1000/1879] lr: 1.0000e-04 eta: 3:48:20 time: 0.2866 data_time: 0.0272 memory: 8198 grad_norm: 7.2845 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9565 loss: 0.9565 2022/08/04 01:41:53 - mmengine - INFO - Epoch(train) [231][1020/1879] lr: 1.0000e-04 eta: 3:48:14 time: 0.2909 data_time: 0.0294 memory: 8198 grad_norm: 7.4866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9793 loss: 0.9793 2022/08/04 01:41:59 - mmengine - INFO - Epoch(train) [231][1040/1879] lr: 1.0000e-04 eta: 3:48:08 time: 0.2980 data_time: 0.0258 memory: 8198 grad_norm: 7.2086 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9147 loss: 0.9147 2022/08/04 01:42:05 - mmengine - INFO - Epoch(train) [231][1060/1879] lr: 1.0000e-04 eta: 3:48:03 time: 0.2848 data_time: 0.0205 memory: 8198 grad_norm: 7.2534 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1120 loss: 1.1120 2022/08/04 01:42:10 - mmengine - INFO - Epoch(train) [231][1080/1879] lr: 1.0000e-04 eta: 3:47:57 time: 0.2853 data_time: 0.0281 memory: 8198 grad_norm: 7.3335 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1173 loss: 1.1173 2022/08/04 01:42:16 - mmengine - INFO - Epoch(train) [231][1100/1879] lr: 1.0000e-04 eta: 3:47:51 time: 0.2893 data_time: 0.0251 memory: 8198 grad_norm: 7.1629 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8172 loss: 0.8172 2022/08/04 01:42:22 - mmengine - INFO - Epoch(train) [231][1120/1879] lr: 1.0000e-04 eta: 3:47:45 time: 0.2838 data_time: 0.0245 memory: 8198 grad_norm: 7.3519 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0031 loss: 1.0031 2022/08/04 01:42:28 - mmengine - INFO - Epoch(train) [231][1140/1879] lr: 1.0000e-04 eta: 3:47:40 time: 0.2940 data_time: 0.0228 memory: 8198 grad_norm: 7.2315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9253 loss: 0.9253 2022/08/04 01:42:34 - mmengine - INFO - Epoch(train) [231][1160/1879] lr: 1.0000e-04 eta: 3:47:34 time: 0.2888 data_time: 0.0236 memory: 8198 grad_norm: 7.6597 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1250 loss: 1.1250 2022/08/04 01:42:39 - mmengine - INFO - Epoch(train) [231][1180/1879] lr: 1.0000e-04 eta: 3:47:28 time: 0.2859 data_time: 0.0211 memory: 8198 grad_norm: 7.2105 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8793 loss: 0.8793 2022/08/04 01:42:45 - mmengine - INFO - Epoch(train) [231][1200/1879] lr: 1.0000e-04 eta: 3:47:22 time: 0.2840 data_time: 0.0190 memory: 8198 grad_norm: 7.4335 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9013 loss: 0.9013 2022/08/04 01:42:51 - mmengine - INFO - Epoch(train) [231][1220/1879] lr: 1.0000e-04 eta: 3:47:17 time: 0.2951 data_time: 0.0229 memory: 8198 grad_norm: 7.3056 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9339 loss: 0.9339 2022/08/04 01:42:57 - mmengine - INFO - Epoch(train) [231][1240/1879] lr: 1.0000e-04 eta: 3:47:11 time: 0.2867 data_time: 0.0238 memory: 8198 grad_norm: 7.2725 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0057 loss: 1.0057 2022/08/04 01:43:03 - mmengine - INFO - Epoch(train) [231][1260/1879] lr: 1.0000e-04 eta: 3:47:05 time: 0.2930 data_time: 0.0206 memory: 8198 grad_norm: 7.5259 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9827 loss: 0.9827 2022/08/04 01:43:09 - mmengine - INFO - Epoch(train) [231][1280/1879] lr: 1.0000e-04 eta: 3:47:00 time: 0.2913 data_time: 0.0237 memory: 8198 grad_norm: 7.3348 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/08/04 01:43:14 - mmengine - INFO - Epoch(train) [231][1300/1879] lr: 1.0000e-04 eta: 3:46:54 time: 0.2861 data_time: 0.0261 memory: 8198 grad_norm: 7.4883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1054 loss: 1.1054 2022/08/04 01:43:20 - mmengine - INFO - Epoch(train) [231][1320/1879] lr: 1.0000e-04 eta: 3:46:48 time: 0.2897 data_time: 0.0233 memory: 8198 grad_norm: 7.3122 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8849 loss: 0.8849 2022/08/04 01:43:26 - mmengine - INFO - Epoch(train) [231][1340/1879] lr: 1.0000e-04 eta: 3:46:42 time: 0.2894 data_time: 0.0255 memory: 8198 grad_norm: 7.4506 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1402 loss: 1.1402 2022/08/04 01:43:32 - mmengine - INFO - Epoch(train) [231][1360/1879] lr: 1.0000e-04 eta: 3:46:37 time: 0.2926 data_time: 0.0239 memory: 8198 grad_norm: 7.4954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/08/04 01:43:38 - mmengine - INFO - Epoch(train) [231][1380/1879] lr: 1.0000e-04 eta: 3:46:31 time: 0.2898 data_time: 0.0269 memory: 8198 grad_norm: 7.6166 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1068 loss: 1.1068 2022/08/04 01:43:43 - mmengine - INFO - Epoch(train) [231][1400/1879] lr: 1.0000e-04 eta: 3:46:25 time: 0.2858 data_time: 0.0203 memory: 8198 grad_norm: 7.4379 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0150 loss: 1.0150 2022/08/04 01:43:49 - mmengine - INFO - Epoch(train) [231][1420/1879] lr: 1.0000e-04 eta: 3:46:20 time: 0.2936 data_time: 0.0225 memory: 8198 grad_norm: 7.5577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/08/04 01:43:55 - mmengine - INFO - Epoch(train) [231][1440/1879] lr: 1.0000e-04 eta: 3:46:14 time: 0.2854 data_time: 0.0214 memory: 8198 grad_norm: 7.4643 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9543 loss: 0.9543 2022/08/04 01:44:01 - mmengine - INFO - Epoch(train) [231][1460/1879] lr: 1.0000e-04 eta: 3:46:08 time: 0.2886 data_time: 0.0238 memory: 8198 grad_norm: 7.5797 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9213 loss: 0.9213 2022/08/04 01:44:07 - mmengine - INFO - Epoch(train) [231][1480/1879] lr: 1.0000e-04 eta: 3:46:02 time: 0.2861 data_time: 0.0221 memory: 8198 grad_norm: 7.4532 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9181 loss: 0.9181 2022/08/04 01:44:13 - mmengine - INFO - Epoch(train) [231][1500/1879] lr: 1.0000e-04 eta: 3:45:57 time: 0.3013 data_time: 0.0227 memory: 8198 grad_norm: 7.2851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/08/04 01:44:18 - mmengine - INFO - Epoch(train) [231][1520/1879] lr: 1.0000e-04 eta: 3:45:51 time: 0.2864 data_time: 0.0282 memory: 8198 grad_norm: 7.3774 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/04 01:44:24 - mmengine - INFO - Epoch(train) [231][1540/1879] lr: 1.0000e-04 eta: 3:45:45 time: 0.2864 data_time: 0.0248 memory: 8198 grad_norm: 7.3423 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9099 loss: 0.9099 2022/08/04 01:44:30 - mmengine - INFO - Epoch(train) [231][1560/1879] lr: 1.0000e-04 eta: 3:45:40 time: 0.2973 data_time: 0.0304 memory: 8198 grad_norm: 7.2337 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0189 loss: 1.0189 2022/08/04 01:44:36 - mmengine - INFO - Epoch(train) [231][1580/1879] lr: 1.0000e-04 eta: 3:45:34 time: 0.2871 data_time: 0.0192 memory: 8198 grad_norm: 7.4165 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9639 loss: 0.9639 2022/08/04 01:44:42 - mmengine - INFO - Epoch(train) [231][1600/1879] lr: 1.0000e-04 eta: 3:45:28 time: 0.2832 data_time: 0.0187 memory: 8198 grad_norm: 7.4375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9632 loss: 0.9632 2022/08/04 01:44:47 - mmengine - INFO - Epoch(train) [231][1620/1879] lr: 1.0000e-04 eta: 3:45:22 time: 0.2925 data_time: 0.0217 memory: 8198 grad_norm: 7.3150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9304 loss: 0.9304 2022/08/04 01:44:54 - mmengine - INFO - Epoch(train) [231][1640/1879] lr: 1.0000e-04 eta: 3:45:17 time: 0.3015 data_time: 0.0206 memory: 8198 grad_norm: 7.3532 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9903 loss: 0.9903 2022/08/04 01:44:59 - mmengine - INFO - Epoch(train) [231][1660/1879] lr: 1.0000e-04 eta: 3:45:11 time: 0.2885 data_time: 0.0242 memory: 8198 grad_norm: 7.2299 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0973 loss: 1.0973 2022/08/04 01:45:05 - mmengine - INFO - Epoch(train) [231][1680/1879] lr: 1.0000e-04 eta: 3:45:05 time: 0.2862 data_time: 0.0205 memory: 8198 grad_norm: 7.3471 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7966 loss: 0.7966 2022/08/04 01:45:11 - mmengine - INFO - Epoch(train) [231][1700/1879] lr: 1.0000e-04 eta: 3:45:00 time: 0.3140 data_time: 0.0253 memory: 8198 grad_norm: 7.3815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9462 loss: 0.9462 2022/08/04 01:45:17 - mmengine - INFO - Epoch(train) [231][1720/1879] lr: 1.0000e-04 eta: 3:44:54 time: 0.2852 data_time: 0.0224 memory: 8198 grad_norm: 7.4066 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/08/04 01:45:23 - mmengine - INFO - Epoch(train) [231][1740/1879] lr: 1.0000e-04 eta: 3:44:48 time: 0.2901 data_time: 0.0212 memory: 8198 grad_norm: 7.5267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8037 loss: 0.8037 2022/08/04 01:45:29 - mmengine - INFO - Epoch(train) [231][1760/1879] lr: 1.0000e-04 eta: 3:44:42 time: 0.3016 data_time: 0.0254 memory: 8198 grad_norm: 7.2284 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9455 loss: 0.9455 2022/08/04 01:45:35 - mmengine - INFO - Epoch(train) [231][1780/1879] lr: 1.0000e-04 eta: 3:44:37 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 7.2678 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/08/04 01:45:40 - mmengine - INFO - Epoch(train) [231][1800/1879] lr: 1.0000e-04 eta: 3:44:31 time: 0.2868 data_time: 0.0195 memory: 8198 grad_norm: 7.4824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9486 loss: 0.9486 2022/08/04 01:45:46 - mmengine - INFO - Epoch(train) [231][1820/1879] lr: 1.0000e-04 eta: 3:44:25 time: 0.2869 data_time: 0.0226 memory: 8198 grad_norm: 7.1836 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9621 loss: 0.9621 2022/08/04 01:45:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:45:52 - mmengine - INFO - Epoch(train) [231][1840/1879] lr: 1.0000e-04 eta: 3:44:20 time: 0.2854 data_time: 0.0226 memory: 8198 grad_norm: 7.1589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9801 loss: 0.9801 2022/08/04 01:45:58 - mmengine - INFO - Epoch(train) [231][1860/1879] lr: 1.0000e-04 eta: 3:44:14 time: 0.2855 data_time: 0.0179 memory: 8198 grad_norm: 7.5127 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8882 loss: 0.8882 2022/08/04 01:46:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:46:03 - mmengine - INFO - Epoch(train) [231][1879/1879] lr: 1.0000e-04 eta: 3:44:14 time: 0.2592 data_time: 0.0142 memory: 8198 grad_norm: 7.3922 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9519 loss: 0.9519 2022/08/04 01:46:11 - mmengine - INFO - Epoch(train) [232][20/1879] lr: 1.0000e-04 eta: 3:44:02 time: 0.3943 data_time: 0.1202 memory: 8198 grad_norm: 7.1023 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9159 loss: 0.9159 2022/08/04 01:46:17 - mmengine - INFO - Epoch(train) [232][40/1879] lr: 1.0000e-04 eta: 3:43:57 time: 0.2922 data_time: 0.0206 memory: 8198 grad_norm: 7.1919 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8715 loss: 0.8715 2022/08/04 01:46:22 - mmengine - INFO - Epoch(train) [232][60/1879] lr: 1.0000e-04 eta: 3:43:51 time: 0.2936 data_time: 0.0228 memory: 8198 grad_norm: 7.1466 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1466 loss: 1.1466 2022/08/04 01:46:28 - mmengine - INFO - Epoch(train) [232][80/1879] lr: 1.0000e-04 eta: 3:43:45 time: 0.2899 data_time: 0.0179 memory: 8198 grad_norm: 7.6411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9887 loss: 0.9887 2022/08/04 01:46:34 - mmengine - INFO - Epoch(train) [232][100/1879] lr: 1.0000e-04 eta: 3:43:39 time: 0.2893 data_time: 0.0265 memory: 8198 grad_norm: 7.4273 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/08/04 01:46:40 - mmengine - INFO - Epoch(train) [232][120/1879] lr: 1.0000e-04 eta: 3:43:34 time: 0.2862 data_time: 0.0215 memory: 8198 grad_norm: 7.4397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9997 loss: 0.9997 2022/08/04 01:46:46 - mmengine - INFO - Epoch(train) [232][140/1879] lr: 1.0000e-04 eta: 3:43:28 time: 0.2853 data_time: 0.0195 memory: 8198 grad_norm: 7.1548 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/04 01:46:51 - mmengine - INFO - Epoch(train) [232][160/1879] lr: 1.0000e-04 eta: 3:43:22 time: 0.2917 data_time: 0.0214 memory: 8198 grad_norm: 7.3149 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8463 loss: 0.8463 2022/08/04 01:46:57 - mmengine - INFO - Epoch(train) [232][180/1879] lr: 1.0000e-04 eta: 3:43:17 time: 0.2886 data_time: 0.0203 memory: 8198 grad_norm: 7.2393 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0706 loss: 1.0706 2022/08/04 01:47:03 - mmengine - INFO - Epoch(train) [232][200/1879] lr: 1.0000e-04 eta: 3:43:11 time: 0.2862 data_time: 0.0281 memory: 8198 grad_norm: 7.4494 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0338 loss: 1.0338 2022/08/04 01:47:09 - mmengine - INFO - Epoch(train) [232][220/1879] lr: 1.0000e-04 eta: 3:43:05 time: 0.2927 data_time: 0.0201 memory: 8198 grad_norm: 7.4488 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9136 loss: 0.9136 2022/08/04 01:47:15 - mmengine - INFO - Epoch(train) [232][240/1879] lr: 1.0000e-04 eta: 3:42:59 time: 0.2846 data_time: 0.0196 memory: 8198 grad_norm: 7.3513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9158 loss: 0.9158 2022/08/04 01:47:20 - mmengine - INFO - Epoch(train) [232][260/1879] lr: 1.0000e-04 eta: 3:42:54 time: 0.2879 data_time: 0.0195 memory: 8198 grad_norm: 7.4594 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/08/04 01:47:26 - mmengine - INFO - Epoch(train) [232][280/1879] lr: 1.0000e-04 eta: 3:42:48 time: 0.2869 data_time: 0.0189 memory: 8198 grad_norm: 6.9792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7926 loss: 0.7926 2022/08/04 01:47:32 - mmengine - INFO - Epoch(train) [232][300/1879] lr: 1.0000e-04 eta: 3:42:42 time: 0.2935 data_time: 0.0187 memory: 8198 grad_norm: 7.3492 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0112 loss: 1.0112 2022/08/04 01:47:38 - mmengine - INFO - Epoch(train) [232][320/1879] lr: 1.0000e-04 eta: 3:42:36 time: 0.2860 data_time: 0.0208 memory: 8198 grad_norm: 7.4039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1198 loss: 1.1198 2022/08/04 01:47:44 - mmengine - INFO - Epoch(train) [232][340/1879] lr: 1.0000e-04 eta: 3:42:31 time: 0.2874 data_time: 0.0227 memory: 8198 grad_norm: 7.3011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9616 loss: 0.9616 2022/08/04 01:47:50 - mmengine - INFO - Epoch(train) [232][360/1879] lr: 1.0000e-04 eta: 3:42:25 time: 0.2972 data_time: 0.0197 memory: 8198 grad_norm: 7.2239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8405 loss: 0.8405 2022/08/04 01:47:55 - mmengine - INFO - Epoch(train) [232][380/1879] lr: 1.0000e-04 eta: 3:42:19 time: 0.2864 data_time: 0.0191 memory: 8198 grad_norm: 7.4631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2238 loss: 1.2238 2022/08/04 01:48:01 - mmengine - INFO - Epoch(train) [232][400/1879] lr: 1.0000e-04 eta: 3:42:14 time: 0.2841 data_time: 0.0261 memory: 8198 grad_norm: 7.3321 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9994 loss: 0.9994 2022/08/04 01:48:07 - mmengine - INFO - Epoch(train) [232][420/1879] lr: 1.0000e-04 eta: 3:42:08 time: 0.2847 data_time: 0.0276 memory: 8198 grad_norm: 7.2595 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9862 loss: 0.9862 2022/08/04 01:48:13 - mmengine - INFO - Epoch(train) [232][440/1879] lr: 1.0000e-04 eta: 3:42:02 time: 0.2891 data_time: 0.0207 memory: 8198 grad_norm: 7.2640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/08/04 01:48:18 - mmengine - INFO - Epoch(train) [232][460/1879] lr: 1.0000e-04 eta: 3:41:56 time: 0.2917 data_time: 0.0183 memory: 8198 grad_norm: 7.3397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0251 loss: 1.0251 2022/08/04 01:48:24 - mmengine - INFO - Epoch(train) [232][480/1879] lr: 1.0000e-04 eta: 3:41:51 time: 0.2839 data_time: 0.0250 memory: 8198 grad_norm: 7.2490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9238 loss: 0.9238 2022/08/04 01:48:30 - mmengine - INFO - Epoch(train) [232][500/1879] lr: 1.0000e-04 eta: 3:41:45 time: 0.2938 data_time: 0.0248 memory: 8198 grad_norm: 7.5494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/08/04 01:48:36 - mmengine - INFO - Epoch(train) [232][520/1879] lr: 1.0000e-04 eta: 3:41:39 time: 0.2851 data_time: 0.0240 memory: 8198 grad_norm: 7.4263 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9444 loss: 0.9444 2022/08/04 01:48:42 - mmengine - INFO - Epoch(train) [232][540/1879] lr: 1.0000e-04 eta: 3:41:34 time: 0.2860 data_time: 0.0205 memory: 8198 grad_norm: 7.2206 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9390 loss: 0.9390 2022/08/04 01:48:47 - mmengine - INFO - Epoch(train) [232][560/1879] lr: 1.0000e-04 eta: 3:41:28 time: 0.2864 data_time: 0.0226 memory: 8198 grad_norm: 7.2944 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9863 loss: 0.9863 2022/08/04 01:48:53 - mmengine - INFO - Epoch(train) [232][580/1879] lr: 1.0000e-04 eta: 3:41:22 time: 0.2925 data_time: 0.0240 memory: 8198 grad_norm: 7.4534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8831 loss: 0.8831 2022/08/04 01:48:59 - mmengine - INFO - Epoch(train) [232][600/1879] lr: 1.0000e-04 eta: 3:41:16 time: 0.2887 data_time: 0.0257 memory: 8198 grad_norm: 7.5904 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/04 01:49:05 - mmengine - INFO - Epoch(train) [232][620/1879] lr: 1.0000e-04 eta: 3:41:11 time: 0.2852 data_time: 0.0259 memory: 8198 grad_norm: 7.2487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/08/04 01:49:11 - mmengine - INFO - Epoch(train) [232][640/1879] lr: 1.0000e-04 eta: 3:41:05 time: 0.2894 data_time: 0.0211 memory: 8198 grad_norm: 7.3212 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/08/04 01:49:16 - mmengine - INFO - Epoch(train) [232][660/1879] lr: 1.0000e-04 eta: 3:40:59 time: 0.2863 data_time: 0.0222 memory: 8198 grad_norm: 7.3910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9082 loss: 0.9082 2022/08/04 01:49:22 - mmengine - INFO - Epoch(train) [232][680/1879] lr: 1.0000e-04 eta: 3:40:53 time: 0.2859 data_time: 0.0182 memory: 8198 grad_norm: 7.1182 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9988 loss: 0.9988 2022/08/04 01:49:28 - mmengine - INFO - Epoch(train) [232][700/1879] lr: 1.0000e-04 eta: 3:40:48 time: 0.2903 data_time: 0.0212 memory: 8198 grad_norm: 7.2513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0768 loss: 1.0768 2022/08/04 01:49:34 - mmengine - INFO - Epoch(train) [232][720/1879] lr: 1.0000e-04 eta: 3:40:42 time: 0.2879 data_time: 0.0253 memory: 8198 grad_norm: 7.3996 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0784 loss: 1.0784 2022/08/04 01:49:39 - mmengine - INFO - Epoch(train) [232][740/1879] lr: 1.0000e-04 eta: 3:40:36 time: 0.2847 data_time: 0.0183 memory: 8198 grad_norm: 7.5091 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9643 loss: 0.9643 2022/08/04 01:49:45 - mmengine - INFO - Epoch(train) [232][760/1879] lr: 1.0000e-04 eta: 3:40:31 time: 0.2849 data_time: 0.0185 memory: 8198 grad_norm: 7.3230 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/08/04 01:49:51 - mmengine - INFO - Epoch(train) [232][780/1879] lr: 1.0000e-04 eta: 3:40:25 time: 0.3005 data_time: 0.0253 memory: 8198 grad_norm: 7.4296 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0425 loss: 1.0425 2022/08/04 01:49:57 - mmengine - INFO - Epoch(train) [232][800/1879] lr: 1.0000e-04 eta: 3:40:19 time: 0.2869 data_time: 0.0215 memory: 8198 grad_norm: 7.4005 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9763 loss: 0.9763 2022/08/04 01:50:03 - mmengine - INFO - Epoch(train) [232][820/1879] lr: 1.0000e-04 eta: 3:40:13 time: 0.2881 data_time: 0.0267 memory: 8198 grad_norm: 7.4790 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8593 loss: 0.8593 2022/08/04 01:50:09 - mmengine - INFO - Epoch(train) [232][840/1879] lr: 1.0000e-04 eta: 3:40:08 time: 0.2866 data_time: 0.0214 memory: 8198 grad_norm: 7.4819 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1086 loss: 1.1086 2022/08/04 01:50:14 - mmengine - INFO - Epoch(train) [232][860/1879] lr: 1.0000e-04 eta: 3:40:02 time: 0.2878 data_time: 0.0240 memory: 8198 grad_norm: 7.2850 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9018 loss: 0.9018 2022/08/04 01:50:20 - mmengine - INFO - Epoch(train) [232][880/1879] lr: 1.0000e-04 eta: 3:39:56 time: 0.2901 data_time: 0.0207 memory: 8198 grad_norm: 7.2384 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9163 loss: 0.9163 2022/08/04 01:50:26 - mmengine - INFO - Epoch(train) [232][900/1879] lr: 1.0000e-04 eta: 3:39:51 time: 0.2874 data_time: 0.0221 memory: 8198 grad_norm: 7.3991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8949 loss: 0.8949 2022/08/04 01:50:32 - mmengine - INFO - Epoch(train) [232][920/1879] lr: 1.0000e-04 eta: 3:39:45 time: 0.2888 data_time: 0.0241 memory: 8198 grad_norm: 7.4633 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0687 loss: 1.0687 2022/08/04 01:50:38 - mmengine - INFO - Epoch(train) [232][940/1879] lr: 1.0000e-04 eta: 3:39:39 time: 0.2873 data_time: 0.0235 memory: 8198 grad_norm: 7.4193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0719 loss: 1.0719 2022/08/04 01:50:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:50:43 - mmengine - INFO - Epoch(train) [232][960/1879] lr: 1.0000e-04 eta: 3:39:33 time: 0.2950 data_time: 0.0280 memory: 8198 grad_norm: 7.3130 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9470 loss: 0.9470 2022/08/04 01:50:49 - mmengine - INFO - Epoch(train) [232][980/1879] lr: 1.0000e-04 eta: 3:39:28 time: 0.2859 data_time: 0.0170 memory: 8198 grad_norm: 7.1318 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9426 loss: 0.9426 2022/08/04 01:50:55 - mmengine - INFO - Epoch(train) [232][1000/1879] lr: 1.0000e-04 eta: 3:39:22 time: 0.2970 data_time: 0.0240 memory: 8198 grad_norm: 7.4617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8428 loss: 0.8428 2022/08/04 01:51:01 - mmengine - INFO - Epoch(train) [232][1020/1879] lr: 1.0000e-04 eta: 3:39:16 time: 0.2859 data_time: 0.0216 memory: 8198 grad_norm: 7.3429 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9564 loss: 0.9564 2022/08/04 01:51:07 - mmengine - INFO - Epoch(train) [232][1040/1879] lr: 1.0000e-04 eta: 3:39:10 time: 0.2861 data_time: 0.0182 memory: 8198 grad_norm: 7.3327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/08/04 01:51:13 - mmengine - INFO - Epoch(train) [232][1060/1879] lr: 1.0000e-04 eta: 3:39:05 time: 0.2966 data_time: 0.0234 memory: 8198 grad_norm: 7.3169 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9205 loss: 0.9205 2022/08/04 01:51:19 - mmengine - INFO - Epoch(train) [232][1080/1879] lr: 1.0000e-04 eta: 3:38:59 time: 0.2880 data_time: 0.0207 memory: 8198 grad_norm: 7.2345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0328 loss: 1.0328 2022/08/04 01:51:24 - mmengine - INFO - Epoch(train) [232][1100/1879] lr: 1.0000e-04 eta: 3:38:53 time: 0.2900 data_time: 0.0271 memory: 8198 grad_norm: 7.0634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8628 loss: 0.8628 2022/08/04 01:51:30 - mmengine - INFO - Epoch(train) [232][1120/1879] lr: 1.0000e-04 eta: 3:38:48 time: 0.3028 data_time: 0.0222 memory: 8198 grad_norm: 7.3105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8842 loss: 0.8842 2022/08/04 01:51:36 - mmengine - INFO - Epoch(train) [232][1140/1879] lr: 1.0000e-04 eta: 3:38:42 time: 0.2839 data_time: 0.0215 memory: 8198 grad_norm: 7.1947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8239 loss: 0.8239 2022/08/04 01:51:42 - mmengine - INFO - Epoch(train) [232][1160/1879] lr: 1.0000e-04 eta: 3:38:36 time: 0.2855 data_time: 0.0199 memory: 8198 grad_norm: 7.3331 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8657 loss: 0.8657 2022/08/04 01:51:48 - mmengine - INFO - Epoch(train) [232][1180/1879] lr: 1.0000e-04 eta: 3:38:30 time: 0.2915 data_time: 0.0271 memory: 8198 grad_norm: 7.4013 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/04 01:51:54 - mmengine - INFO - Epoch(train) [232][1200/1879] lr: 1.0000e-04 eta: 3:38:25 time: 0.2907 data_time: 0.0190 memory: 8198 grad_norm: 7.6681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9072 loss: 0.9072 2022/08/04 01:51:59 - mmengine - INFO - Epoch(train) [232][1220/1879] lr: 1.0000e-04 eta: 3:38:19 time: 0.2887 data_time: 0.0282 memory: 8198 grad_norm: 7.3658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8715 loss: 0.8715 2022/08/04 01:52:05 - mmengine - INFO - Epoch(train) [232][1240/1879] lr: 1.0000e-04 eta: 3:38:13 time: 0.2847 data_time: 0.0195 memory: 8198 grad_norm: 7.1954 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9400 loss: 0.9400 2022/08/04 01:52:11 - mmengine - INFO - Epoch(train) [232][1260/1879] lr: 1.0000e-04 eta: 3:38:08 time: 0.2953 data_time: 0.0213 memory: 8198 grad_norm: 7.3290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/08/04 01:52:17 - mmengine - INFO - Epoch(train) [232][1280/1879] lr: 1.0000e-04 eta: 3:38:02 time: 0.2942 data_time: 0.0257 memory: 8198 grad_norm: 7.6074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/08/04 01:52:23 - mmengine - INFO - Epoch(train) [232][1300/1879] lr: 1.0000e-04 eta: 3:37:56 time: 0.2875 data_time: 0.0247 memory: 8198 grad_norm: 7.3700 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8597 loss: 0.8597 2022/08/04 01:52:29 - mmengine - INFO - Epoch(train) [232][1320/1879] lr: 1.0000e-04 eta: 3:37:50 time: 0.3085 data_time: 0.0219 memory: 8198 grad_norm: 7.3032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0930 loss: 1.0930 2022/08/04 01:52:35 - mmengine - INFO - Epoch(train) [232][1340/1879] lr: 1.0000e-04 eta: 3:37:45 time: 0.2826 data_time: 0.0191 memory: 8198 grad_norm: 7.3450 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0199 loss: 1.0199 2022/08/04 01:52:40 - mmengine - INFO - Epoch(train) [232][1360/1879] lr: 1.0000e-04 eta: 3:37:39 time: 0.2925 data_time: 0.0278 memory: 8198 grad_norm: 7.3014 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8250 loss: 0.8250 2022/08/04 01:52:46 - mmengine - INFO - Epoch(train) [232][1380/1879] lr: 1.0000e-04 eta: 3:37:33 time: 0.2849 data_time: 0.0212 memory: 8198 grad_norm: 7.3472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9278 loss: 0.9278 2022/08/04 01:52:52 - mmengine - INFO - Epoch(train) [232][1400/1879] lr: 1.0000e-04 eta: 3:37:28 time: 0.2929 data_time: 0.0210 memory: 8198 grad_norm: 7.3278 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9690 loss: 0.9690 2022/08/04 01:52:58 - mmengine - INFO - Epoch(train) [232][1420/1879] lr: 1.0000e-04 eta: 3:37:22 time: 0.2865 data_time: 0.0201 memory: 8198 grad_norm: 7.5389 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9200 loss: 0.9200 2022/08/04 01:53:04 - mmengine - INFO - Epoch(train) [232][1440/1879] lr: 1.0000e-04 eta: 3:37:16 time: 0.2857 data_time: 0.0217 memory: 8198 grad_norm: 7.2752 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9623 loss: 0.9623 2022/08/04 01:53:10 - mmengine - INFO - Epoch(train) [232][1460/1879] lr: 1.0000e-04 eta: 3:37:10 time: 0.3015 data_time: 0.0269 memory: 8198 grad_norm: 7.3313 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8503 loss: 0.8503 2022/08/04 01:53:15 - mmengine - INFO - Epoch(train) [232][1480/1879] lr: 1.0000e-04 eta: 3:37:05 time: 0.2857 data_time: 0.0206 memory: 8198 grad_norm: 7.3559 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0815 loss: 1.0815 2022/08/04 01:53:21 - mmengine - INFO - Epoch(train) [232][1500/1879] lr: 1.0000e-04 eta: 3:36:59 time: 0.2846 data_time: 0.0194 memory: 8198 grad_norm: 7.3356 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0395 loss: 1.0395 2022/08/04 01:53:27 - mmengine - INFO - Epoch(train) [232][1520/1879] lr: 1.0000e-04 eta: 3:36:53 time: 0.2866 data_time: 0.0179 memory: 8198 grad_norm: 7.2993 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8723 loss: 0.8723 2022/08/04 01:53:33 - mmengine - INFO - Epoch(train) [232][1540/1879] lr: 1.0000e-04 eta: 3:36:48 time: 0.2933 data_time: 0.0218 memory: 8198 grad_norm: 7.4420 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/08/04 01:53:39 - mmengine - INFO - Epoch(train) [232][1560/1879] lr: 1.0000e-04 eta: 3:36:42 time: 0.2848 data_time: 0.0212 memory: 8198 grad_norm: 7.4045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8485 loss: 0.8485 2022/08/04 01:53:44 - mmengine - INFO - Epoch(train) [232][1580/1879] lr: 1.0000e-04 eta: 3:36:36 time: 0.2900 data_time: 0.0224 memory: 8198 grad_norm: 7.3119 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9926 loss: 0.9926 2022/08/04 01:53:50 - mmengine - INFO - Epoch(train) [232][1600/1879] lr: 1.0000e-04 eta: 3:36:30 time: 0.2944 data_time: 0.0225 memory: 8198 grad_norm: 7.1976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8127 loss: 0.8127 2022/08/04 01:53:56 - mmengine - INFO - Epoch(train) [232][1620/1879] lr: 1.0000e-04 eta: 3:36:25 time: 0.2883 data_time: 0.0242 memory: 8198 grad_norm: 7.3599 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0091 loss: 1.0091 2022/08/04 01:54:02 - mmengine - INFO - Epoch(train) [232][1640/1879] lr: 1.0000e-04 eta: 3:36:19 time: 0.2857 data_time: 0.0231 memory: 8198 grad_norm: 7.4138 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0374 loss: 1.0374 2022/08/04 01:54:08 - mmengine - INFO - Epoch(train) [232][1660/1879] lr: 1.0000e-04 eta: 3:36:13 time: 0.2870 data_time: 0.0235 memory: 8198 grad_norm: 7.3958 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9299 loss: 0.9299 2022/08/04 01:54:13 - mmengine - INFO - Epoch(train) [232][1680/1879] lr: 1.0000e-04 eta: 3:36:08 time: 0.2931 data_time: 0.0253 memory: 8198 grad_norm: 7.4373 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8279 loss: 0.8279 2022/08/04 01:54:19 - mmengine - INFO - Epoch(train) [232][1700/1879] lr: 1.0000e-04 eta: 3:36:02 time: 0.2878 data_time: 0.0223 memory: 8198 grad_norm: 7.4395 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/08/04 01:54:25 - mmengine - INFO - Epoch(train) [232][1720/1879] lr: 1.0000e-04 eta: 3:35:56 time: 0.2990 data_time: 0.0196 memory: 8198 grad_norm: 7.2080 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0031 loss: 1.0031 2022/08/04 01:54:31 - mmengine - INFO - Epoch(train) [232][1740/1879] lr: 1.0000e-04 eta: 3:35:50 time: 0.2883 data_time: 0.0195 memory: 8198 grad_norm: 7.3256 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9673 loss: 0.9673 2022/08/04 01:54:37 - mmengine - INFO - Epoch(train) [232][1760/1879] lr: 1.0000e-04 eta: 3:35:45 time: 0.2849 data_time: 0.0190 memory: 8198 grad_norm: 7.3730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/08/04 01:54:43 - mmengine - INFO - Epoch(train) [232][1780/1879] lr: 1.0000e-04 eta: 3:35:39 time: 0.2971 data_time: 0.0227 memory: 8198 grad_norm: 7.1997 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8070 loss: 0.8070 2022/08/04 01:54:49 - mmengine - INFO - Epoch(train) [232][1800/1879] lr: 1.0000e-04 eta: 3:35:33 time: 0.2872 data_time: 0.0219 memory: 8198 grad_norm: 7.2779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8096 loss: 0.8096 2022/08/04 01:54:54 - mmengine - INFO - Epoch(train) [232][1820/1879] lr: 1.0000e-04 eta: 3:35:28 time: 0.2909 data_time: 0.0287 memory: 8198 grad_norm: 7.4771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/08/04 01:55:00 - mmengine - INFO - Epoch(train) [232][1840/1879] lr: 1.0000e-04 eta: 3:35:22 time: 0.2874 data_time: 0.0205 memory: 8198 grad_norm: 7.3091 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7947 loss: 0.7947 2022/08/04 01:55:06 - mmengine - INFO - Epoch(train) [232][1860/1879] lr: 1.0000e-04 eta: 3:35:16 time: 0.2833 data_time: 0.0226 memory: 8198 grad_norm: 7.2260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9405 loss: 0.9405 2022/08/04 01:55:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:55:11 - mmengine - INFO - Epoch(train) [232][1879/1879] lr: 1.0000e-04 eta: 3:35:16 time: 0.2774 data_time: 0.0189 memory: 8198 grad_norm: 7.6222 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0215 loss: 1.0215 2022/08/04 01:55:11 - mmengine - INFO - Saving checkpoint at 232 epochs 2022/08/04 01:55:21 - mmengine - INFO - Epoch(train) [233][20/1879] lr: 1.0000e-04 eta: 3:35:04 time: 0.3459 data_time: 0.0865 memory: 8198 grad_norm: 7.3348 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/08/04 01:55:26 - mmengine - INFO - Epoch(train) [233][40/1879] lr: 1.0000e-04 eta: 3:34:59 time: 0.2877 data_time: 0.0238 memory: 8198 grad_norm: 7.2946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8418 loss: 0.8418 2022/08/04 01:55:32 - mmengine - INFO - Epoch(train) [233][60/1879] lr: 1.0000e-04 eta: 3:34:53 time: 0.3025 data_time: 0.0270 memory: 8198 grad_norm: 7.0977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7303 loss: 0.7303 2022/08/04 01:55:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 01:55:38 - mmengine - INFO - Epoch(train) [233][80/1879] lr: 1.0000e-04 eta: 3:34:47 time: 0.2846 data_time: 0.0198 memory: 8198 grad_norm: 7.1979 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9311 loss: 0.9311 2022/08/04 01:55:44 - mmengine - INFO - Epoch(train) [233][100/1879] lr: 1.0000e-04 eta: 3:34:42 time: 0.2849 data_time: 0.0233 memory: 8198 grad_norm: 7.3389 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8378 loss: 0.8378 2022/08/04 01:55:50 - mmengine - INFO - Epoch(train) [233][120/1879] lr: 1.0000e-04 eta: 3:34:36 time: 0.2952 data_time: 0.0217 memory: 8198 grad_norm: 7.0879 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9442 loss: 0.9442 2022/08/04 01:55:56 - mmengine - INFO - Epoch(train) [233][140/1879] lr: 1.0000e-04 eta: 3:34:30 time: 0.2848 data_time: 0.0210 memory: 8198 grad_norm: 7.4536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8436 loss: 0.8436 2022/08/04 01:56:01 - mmengine - INFO - Epoch(train) [233][160/1879] lr: 1.0000e-04 eta: 3:34:24 time: 0.2869 data_time: 0.0192 memory: 8198 grad_norm: 7.3485 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9455 loss: 0.9455 2022/08/04 01:56:07 - mmengine - INFO - Epoch(train) [233][180/1879] lr: 1.0000e-04 eta: 3:34:19 time: 0.2819 data_time: 0.0195 memory: 8198 grad_norm: 7.3426 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/08/04 01:56:13 - mmengine - INFO - Epoch(train) [233][200/1879] lr: 1.0000e-04 eta: 3:34:13 time: 0.2931 data_time: 0.0238 memory: 8198 grad_norm: 7.1649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/04 01:56:19 - mmengine - INFO - Epoch(train) [233][220/1879] lr: 1.0000e-04 eta: 3:34:07 time: 0.2884 data_time: 0.0254 memory: 8198 grad_norm: 7.5744 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9241 loss: 0.9241 2022/08/04 01:56:24 - mmengine - INFO - Epoch(train) [233][240/1879] lr: 1.0000e-04 eta: 3:34:02 time: 0.2852 data_time: 0.0200 memory: 8198 grad_norm: 7.3803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8071 loss: 0.8071 2022/08/04 01:56:30 - mmengine - INFO - Epoch(train) [233][260/1879] lr: 1.0000e-04 eta: 3:33:56 time: 0.2925 data_time: 0.0215 memory: 8198 grad_norm: 7.0614 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9441 loss: 0.9441 2022/08/04 01:56:36 - mmengine - INFO - Epoch(train) [233][280/1879] lr: 1.0000e-04 eta: 3:33:50 time: 0.2893 data_time: 0.0286 memory: 8198 grad_norm: 7.2492 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/08/04 01:56:42 - mmengine - INFO - Epoch(train) [233][300/1879] lr: 1.0000e-04 eta: 3:33:44 time: 0.2843 data_time: 0.0223 memory: 8198 grad_norm: 7.5035 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9877 loss: 0.9877 2022/08/04 01:56:48 - mmengine - INFO - Epoch(train) [233][320/1879] lr: 1.0000e-04 eta: 3:33:39 time: 0.2881 data_time: 0.0206 memory: 8198 grad_norm: 7.0787 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0005 loss: 1.0005 2022/08/04 01:56:54 - mmengine - INFO - Epoch(train) [233][340/1879] lr: 1.0000e-04 eta: 3:33:33 time: 0.3028 data_time: 0.0278 memory: 8198 grad_norm: 7.3614 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9130 loss: 0.9130 2022/08/04 01:56:59 - mmengine - INFO - Epoch(train) [233][360/1879] lr: 1.0000e-04 eta: 3:33:27 time: 0.2862 data_time: 0.0218 memory: 8198 grad_norm: 7.3531 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/08/04 01:57:05 - mmengine - INFO - Epoch(train) [233][380/1879] lr: 1.0000e-04 eta: 3:33:21 time: 0.2874 data_time: 0.0236 memory: 8198 grad_norm: 7.3629 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9286 loss: 0.9286 2022/08/04 01:57:11 - mmengine - INFO - Epoch(train) [233][400/1879] lr: 1.0000e-04 eta: 3:33:16 time: 0.3107 data_time: 0.0205 memory: 8198 grad_norm: 7.3332 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0843 loss: 1.0843 2022/08/04 01:57:17 - mmengine - INFO - Epoch(train) [233][420/1879] lr: 1.0000e-04 eta: 3:33:10 time: 0.2831 data_time: 0.0241 memory: 8198 grad_norm: 7.4078 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0048 loss: 1.0048 2022/08/04 01:57:23 - mmengine - INFO - Epoch(train) [233][440/1879] lr: 1.0000e-04 eta: 3:33:04 time: 0.2890 data_time: 0.0217 memory: 8198 grad_norm: 7.2002 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1134 loss: 1.1134 2022/08/04 01:57:29 - mmengine - INFO - Epoch(train) [233][460/1879] lr: 1.0000e-04 eta: 3:32:59 time: 0.2863 data_time: 0.0228 memory: 8198 grad_norm: 7.4132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9250 loss: 0.9250 2022/08/04 01:57:35 - mmengine - INFO - Epoch(train) [233][480/1879] lr: 1.0000e-04 eta: 3:32:53 time: 0.2877 data_time: 0.0231 memory: 8198 grad_norm: 7.3471 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/08/04 01:57:40 - mmengine - INFO - Epoch(train) [233][500/1879] lr: 1.0000e-04 eta: 3:32:47 time: 0.2941 data_time: 0.0246 memory: 8198 grad_norm: 7.2820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9825 loss: 0.9825 2022/08/04 01:57:46 - mmengine - INFO - Epoch(train) [233][520/1879] lr: 1.0000e-04 eta: 3:32:41 time: 0.2831 data_time: 0.0185 memory: 8198 grad_norm: 7.2934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/08/04 01:57:52 - mmengine - INFO - Epoch(train) [233][540/1879] lr: 1.0000e-04 eta: 3:32:36 time: 0.2870 data_time: 0.0244 memory: 8198 grad_norm: 7.2836 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9182 loss: 0.9182 2022/08/04 01:57:58 - mmengine - INFO - Epoch(train) [233][560/1879] lr: 1.0000e-04 eta: 3:32:30 time: 0.2922 data_time: 0.0278 memory: 8198 grad_norm: 7.2444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/08/04 01:58:04 - mmengine - INFO - Epoch(train) [233][580/1879] lr: 1.0000e-04 eta: 3:32:24 time: 0.3005 data_time: 0.0242 memory: 8198 grad_norm: 7.7128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8121 loss: 0.8121 2022/08/04 01:58:10 - mmengine - INFO - Epoch(train) [233][600/1879] lr: 1.0000e-04 eta: 3:32:19 time: 0.2923 data_time: 0.0264 memory: 8198 grad_norm: 7.6135 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9434 loss: 0.9434 2022/08/04 01:58:15 - mmengine - INFO - Epoch(train) [233][620/1879] lr: 1.0000e-04 eta: 3:32:13 time: 0.2837 data_time: 0.0234 memory: 8198 grad_norm: 7.3727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0316 loss: 1.0316 2022/08/04 01:58:21 - mmengine - INFO - Epoch(train) [233][640/1879] lr: 1.0000e-04 eta: 3:32:07 time: 0.2869 data_time: 0.0189 memory: 8198 grad_norm: 7.3536 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8772 loss: 0.8772 2022/08/04 01:58:27 - mmengine - INFO - Epoch(train) [233][660/1879] lr: 1.0000e-04 eta: 3:32:01 time: 0.2885 data_time: 0.0248 memory: 8198 grad_norm: 7.3768 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/08/04 01:58:33 - mmengine - INFO - Epoch(train) [233][680/1879] lr: 1.0000e-04 eta: 3:31:56 time: 0.2946 data_time: 0.0184 memory: 8198 grad_norm: 7.3849 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8776 loss: 0.8776 2022/08/04 01:58:39 - mmengine - INFO - Epoch(train) [233][700/1879] lr: 1.0000e-04 eta: 3:31:50 time: 0.2856 data_time: 0.0234 memory: 8198 grad_norm: 7.2361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/08/04 01:58:44 - mmengine - INFO - Epoch(train) [233][720/1879] lr: 1.0000e-04 eta: 3:31:44 time: 0.2900 data_time: 0.0218 memory: 8198 grad_norm: 7.1619 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8636 loss: 0.8636 2022/08/04 01:58:50 - mmengine - INFO - Epoch(train) [233][740/1879] lr: 1.0000e-04 eta: 3:31:39 time: 0.2982 data_time: 0.0201 memory: 8198 grad_norm: 7.3672 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8677 loss: 0.8677 2022/08/04 01:58:56 - mmengine - INFO - Epoch(train) [233][760/1879] lr: 1.0000e-04 eta: 3:31:33 time: 0.2870 data_time: 0.0202 memory: 8198 grad_norm: 7.3718 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8813 loss: 0.8813 2022/08/04 01:59:02 - mmengine - INFO - Epoch(train) [233][780/1879] lr: 1.0000e-04 eta: 3:31:27 time: 0.2874 data_time: 0.0217 memory: 8198 grad_norm: 7.1343 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9498 loss: 0.9498 2022/08/04 01:59:08 - mmengine - INFO - Epoch(train) [233][800/1879] lr: 1.0000e-04 eta: 3:31:21 time: 0.2888 data_time: 0.0242 memory: 8198 grad_norm: 7.3641 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9258 loss: 0.9258 2022/08/04 01:59:14 - mmengine - INFO - Epoch(train) [233][820/1879] lr: 1.0000e-04 eta: 3:31:16 time: 0.2865 data_time: 0.0214 memory: 8198 grad_norm: 7.4004 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/08/04 01:59:19 - mmengine - INFO - Epoch(train) [233][840/1879] lr: 1.0000e-04 eta: 3:31:10 time: 0.2883 data_time: 0.0203 memory: 8198 grad_norm: 7.4410 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0026 loss: 1.0026 2022/08/04 01:59:25 - mmengine - INFO - Epoch(train) [233][860/1879] lr: 1.0000e-04 eta: 3:31:04 time: 0.2924 data_time: 0.0258 memory: 8198 grad_norm: 7.1393 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9459 loss: 0.9459 2022/08/04 01:59:31 - mmengine - INFO - Epoch(train) [233][880/1879] lr: 1.0000e-04 eta: 3:30:59 time: 0.2869 data_time: 0.0244 memory: 8198 grad_norm: 7.4068 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9995 loss: 0.9995 2022/08/04 01:59:37 - mmengine - INFO - Epoch(train) [233][900/1879] lr: 1.0000e-04 eta: 3:30:53 time: 0.2844 data_time: 0.0188 memory: 8198 grad_norm: 7.4386 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7836 loss: 0.7836 2022/08/04 01:59:43 - mmengine - INFO - Epoch(train) [233][920/1879] lr: 1.0000e-04 eta: 3:30:47 time: 0.2878 data_time: 0.0207 memory: 8198 grad_norm: 7.1086 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8574 loss: 0.8574 2022/08/04 01:59:48 - mmengine - INFO - Epoch(train) [233][940/1879] lr: 1.0000e-04 eta: 3:30:41 time: 0.2894 data_time: 0.0255 memory: 8198 grad_norm: 7.7229 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9427 loss: 0.9427 2022/08/04 01:59:54 - mmengine - INFO - Epoch(train) [233][960/1879] lr: 1.0000e-04 eta: 3:30:36 time: 0.2833 data_time: 0.0216 memory: 8198 grad_norm: 7.1486 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9326 loss: 0.9326 2022/08/04 02:00:00 - mmengine - INFO - Epoch(train) [233][980/1879] lr: 1.0000e-04 eta: 3:30:30 time: 0.2883 data_time: 0.0197 memory: 8198 grad_norm: 7.3497 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8674 loss: 0.8674 2022/08/04 02:00:07 - mmengine - INFO - Epoch(train) [233][1000/1879] lr: 1.0000e-04 eta: 3:30:24 time: 0.3706 data_time: 0.0218 memory: 8198 grad_norm: 7.3745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1369 loss: 1.1369 2022/08/04 02:00:13 - mmengine - INFO - Epoch(train) [233][1020/1879] lr: 1.0000e-04 eta: 3:30:19 time: 0.2863 data_time: 0.0212 memory: 8198 grad_norm: 7.4950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9343 loss: 0.9343 2022/08/04 02:00:19 - mmengine - INFO - Epoch(train) [233][1040/1879] lr: 1.0000e-04 eta: 3:30:13 time: 0.2852 data_time: 0.0256 memory: 8198 grad_norm: 7.4222 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8590 loss: 0.8590 2022/08/04 02:00:25 - mmengine - INFO - Epoch(train) [233][1060/1879] lr: 1.0000e-04 eta: 3:30:07 time: 0.2898 data_time: 0.0279 memory: 8198 grad_norm: 7.3811 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9098 loss: 0.9098 2022/08/04 02:00:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:00:30 - mmengine - INFO - Epoch(train) [233][1080/1879] lr: 1.0000e-04 eta: 3:30:01 time: 0.2907 data_time: 0.0234 memory: 8198 grad_norm: 7.3643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7810 loss: 0.7810 2022/08/04 02:00:36 - mmengine - INFO - Epoch(train) [233][1100/1879] lr: 1.0000e-04 eta: 3:29:56 time: 0.2887 data_time: 0.0255 memory: 8198 grad_norm: 7.2501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/08/04 02:00:42 - mmengine - INFO - Epoch(train) [233][1120/1879] lr: 1.0000e-04 eta: 3:29:50 time: 0.2885 data_time: 0.0218 memory: 8198 grad_norm: 7.3308 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/08/04 02:00:48 - mmengine - INFO - Epoch(train) [233][1140/1879] lr: 1.0000e-04 eta: 3:29:44 time: 0.2885 data_time: 0.0251 memory: 8198 grad_norm: 7.3445 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0126 loss: 1.0126 2022/08/04 02:00:54 - mmengine - INFO - Epoch(train) [233][1160/1879] lr: 1.0000e-04 eta: 3:29:39 time: 0.2858 data_time: 0.0205 memory: 8198 grad_norm: 7.2291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/08/04 02:00:59 - mmengine - INFO - Epoch(train) [233][1180/1879] lr: 1.0000e-04 eta: 3:29:33 time: 0.2884 data_time: 0.0203 memory: 8198 grad_norm: 7.3674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/08/04 02:01:05 - mmengine - INFO - Epoch(train) [233][1200/1879] lr: 1.0000e-04 eta: 3:29:27 time: 0.2874 data_time: 0.0251 memory: 8198 grad_norm: 7.2061 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8039 loss: 0.8039 2022/08/04 02:01:11 - mmengine - INFO - Epoch(train) [233][1220/1879] lr: 1.0000e-04 eta: 3:29:21 time: 0.2886 data_time: 0.0220 memory: 8198 grad_norm: 7.4917 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9238 loss: 0.9238 2022/08/04 02:01:17 - mmengine - INFO - Epoch(train) [233][1240/1879] lr: 1.0000e-04 eta: 3:29:16 time: 0.2874 data_time: 0.0215 memory: 8198 grad_norm: 7.6455 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9469 loss: 0.9469 2022/08/04 02:01:23 - mmengine - INFO - Epoch(train) [233][1260/1879] lr: 1.0000e-04 eta: 3:29:10 time: 0.2914 data_time: 0.0250 memory: 8198 grad_norm: 7.2949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8075 loss: 0.8075 2022/08/04 02:01:28 - mmengine - INFO - Epoch(train) [233][1280/1879] lr: 1.0000e-04 eta: 3:29:04 time: 0.2846 data_time: 0.0224 memory: 8198 grad_norm: 7.7782 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9015 loss: 0.9015 2022/08/04 02:01:34 - mmengine - INFO - Epoch(train) [233][1300/1879] lr: 1.0000e-04 eta: 3:28:59 time: 0.2861 data_time: 0.0249 memory: 8198 grad_norm: 7.3681 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7148 loss: 0.7148 2022/08/04 02:01:40 - mmengine - INFO - Epoch(train) [233][1320/1879] lr: 1.0000e-04 eta: 3:28:53 time: 0.2971 data_time: 0.0216 memory: 8198 grad_norm: 7.2803 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8819 loss: 0.8819 2022/08/04 02:01:46 - mmengine - INFO - Epoch(train) [233][1340/1879] lr: 1.0000e-04 eta: 3:28:47 time: 0.2823 data_time: 0.0207 memory: 8198 grad_norm: 7.5453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0551 loss: 1.0551 2022/08/04 02:01:51 - mmengine - INFO - Epoch(train) [233][1360/1879] lr: 1.0000e-04 eta: 3:28:41 time: 0.2852 data_time: 0.0226 memory: 8198 grad_norm: 7.5873 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8418 loss: 0.8418 2022/08/04 02:01:57 - mmengine - INFO - Epoch(train) [233][1380/1879] lr: 1.0000e-04 eta: 3:28:36 time: 0.2892 data_time: 0.0221 memory: 8198 grad_norm: 7.3190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0153 loss: 1.0153 2022/08/04 02:02:03 - mmengine - INFO - Epoch(train) [233][1400/1879] lr: 1.0000e-04 eta: 3:28:30 time: 0.2898 data_time: 0.0234 memory: 8198 grad_norm: 7.1447 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8383 loss: 0.8383 2022/08/04 02:02:09 - mmengine - INFO - Epoch(train) [233][1420/1879] lr: 1.0000e-04 eta: 3:28:24 time: 0.2841 data_time: 0.0243 memory: 8198 grad_norm: 7.5041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/08/04 02:02:15 - mmengine - INFO - Epoch(train) [233][1440/1879] lr: 1.0000e-04 eta: 3:28:18 time: 0.2941 data_time: 0.0166 memory: 8198 grad_norm: 7.3374 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8584 loss: 0.8584 2022/08/04 02:02:21 - mmengine - INFO - Epoch(train) [233][1460/1879] lr: 1.0000e-04 eta: 3:28:13 time: 0.2970 data_time: 0.0216 memory: 8198 grad_norm: 7.3196 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9419 loss: 0.9419 2022/08/04 02:02:26 - mmengine - INFO - Epoch(train) [233][1480/1879] lr: 1.0000e-04 eta: 3:28:07 time: 0.2851 data_time: 0.0209 memory: 8198 grad_norm: 7.5678 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0990 loss: 1.0990 2022/08/04 02:02:33 - mmengine - INFO - Epoch(train) [233][1500/1879] lr: 1.0000e-04 eta: 3:28:01 time: 0.3007 data_time: 0.0227 memory: 8198 grad_norm: 7.0980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8532 loss: 0.8532 2022/08/04 02:02:38 - mmengine - INFO - Epoch(train) [233][1520/1879] lr: 1.0000e-04 eta: 3:27:56 time: 0.2883 data_time: 0.0236 memory: 8198 grad_norm: 7.3883 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9157 loss: 0.9157 2022/08/04 02:02:44 - mmengine - INFO - Epoch(train) [233][1540/1879] lr: 1.0000e-04 eta: 3:27:50 time: 0.2866 data_time: 0.0195 memory: 8198 grad_norm: 7.1455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/08/04 02:02:50 - mmengine - INFO - Epoch(train) [233][1560/1879] lr: 1.0000e-04 eta: 3:27:44 time: 0.3149 data_time: 0.0220 memory: 8198 grad_norm: 7.4007 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9205 loss: 0.9205 2022/08/04 02:02:56 - mmengine - INFO - Epoch(train) [233][1580/1879] lr: 1.0000e-04 eta: 3:27:38 time: 0.2844 data_time: 0.0218 memory: 8198 grad_norm: 7.1966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9420 loss: 0.9420 2022/08/04 02:03:02 - mmengine - INFO - Epoch(train) [233][1600/1879] lr: 1.0000e-04 eta: 3:27:33 time: 0.2883 data_time: 0.0216 memory: 8198 grad_norm: 7.3020 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8924 loss: 0.8924 2022/08/04 02:03:08 - mmengine - INFO - Epoch(train) [233][1620/1879] lr: 1.0000e-04 eta: 3:27:27 time: 0.2871 data_time: 0.0193 memory: 8198 grad_norm: 7.6280 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0742 loss: 1.0742 2022/08/04 02:03:14 - mmengine - INFO - Epoch(train) [233][1640/1879] lr: 1.0000e-04 eta: 3:27:21 time: 0.3305 data_time: 0.0209 memory: 8198 grad_norm: 7.4273 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8865 loss: 0.8865 2022/08/04 02:03:20 - mmengine - INFO - Epoch(train) [233][1660/1879] lr: 1.0000e-04 eta: 3:27:16 time: 0.2902 data_time: 0.0286 memory: 8198 grad_norm: 7.7949 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/08/04 02:03:26 - mmengine - INFO - Epoch(train) [233][1680/1879] lr: 1.0000e-04 eta: 3:27:10 time: 0.2872 data_time: 0.0218 memory: 8198 grad_norm: 7.3558 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/08/04 02:03:32 - mmengine - INFO - Epoch(train) [233][1700/1879] lr: 1.0000e-04 eta: 3:27:04 time: 0.2917 data_time: 0.0253 memory: 8198 grad_norm: 7.3099 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8939 loss: 0.8939 2022/08/04 02:03:38 - mmengine - INFO - Epoch(train) [233][1720/1879] lr: 1.0000e-04 eta: 3:26:59 time: 0.2877 data_time: 0.0236 memory: 8198 grad_norm: 7.3644 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9848 loss: 0.9848 2022/08/04 02:03:43 - mmengine - INFO - Epoch(train) [233][1740/1879] lr: 1.0000e-04 eta: 3:26:53 time: 0.2891 data_time: 0.0242 memory: 8198 grad_norm: 7.1863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/08/04 02:03:49 - mmengine - INFO - Epoch(train) [233][1760/1879] lr: 1.0000e-04 eta: 3:26:47 time: 0.2849 data_time: 0.0213 memory: 8198 grad_norm: 7.3632 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9925 loss: 0.9925 2022/08/04 02:03:55 - mmengine - INFO - Epoch(train) [233][1780/1879] lr: 1.0000e-04 eta: 3:26:41 time: 0.2888 data_time: 0.0220 memory: 8198 grad_norm: 7.5350 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9382 loss: 0.9382 2022/08/04 02:04:01 - mmengine - INFO - Epoch(train) [233][1800/1879] lr: 1.0000e-04 eta: 3:26:36 time: 0.2912 data_time: 0.0231 memory: 8198 grad_norm: 7.4354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9156 loss: 0.9156 2022/08/04 02:04:07 - mmengine - INFO - Epoch(train) [233][1820/1879] lr: 1.0000e-04 eta: 3:26:30 time: 0.2910 data_time: 0.0200 memory: 8198 grad_norm: 7.4343 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/08/04 02:04:13 - mmengine - INFO - Epoch(train) [233][1840/1879] lr: 1.0000e-04 eta: 3:26:24 time: 0.2863 data_time: 0.0237 memory: 8198 grad_norm: 7.3075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9136 loss: 0.9136 2022/08/04 02:04:18 - mmengine - INFO - Epoch(train) [233][1860/1879] lr: 1.0000e-04 eta: 3:26:18 time: 0.2944 data_time: 0.0275 memory: 8198 grad_norm: 7.3118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0009 loss: 1.0009 2022/08/04 02:04:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:04:24 - mmengine - INFO - Epoch(train) [233][1879/1879] lr: 1.0000e-04 eta: 3:26:18 time: 0.2753 data_time: 0.0139 memory: 8198 grad_norm: 7.3095 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8490 loss: 0.8490 2022/08/04 02:04:32 - mmengine - INFO - Epoch(train) [234][20/1879] lr: 1.0000e-04 eta: 3:26:07 time: 0.3978 data_time: 0.1030 memory: 8198 grad_norm: 7.2895 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9115 loss: 0.9115 2022/08/04 02:04:38 - mmengine - INFO - Epoch(train) [234][40/1879] lr: 1.0000e-04 eta: 3:26:01 time: 0.3007 data_time: 0.0266 memory: 8198 grad_norm: 7.5051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9958 loss: 0.9958 2022/08/04 02:04:44 - mmengine - INFO - Epoch(train) [234][60/1879] lr: 1.0000e-04 eta: 3:25:56 time: 0.3018 data_time: 0.0231 memory: 8198 grad_norm: 7.1989 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9335 loss: 0.9335 2022/08/04 02:04:50 - mmengine - INFO - Epoch(train) [234][80/1879] lr: 1.0000e-04 eta: 3:25:50 time: 0.2858 data_time: 0.0199 memory: 8198 grad_norm: 7.4305 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9549 loss: 0.9549 2022/08/04 02:04:56 - mmengine - INFO - Epoch(train) [234][100/1879] lr: 1.0000e-04 eta: 3:25:44 time: 0.3069 data_time: 0.0257 memory: 8198 grad_norm: 7.5187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1388 loss: 1.1388 2022/08/04 02:05:01 - mmengine - INFO - Epoch(train) [234][120/1879] lr: 1.0000e-04 eta: 3:25:38 time: 0.2851 data_time: 0.0177 memory: 8198 grad_norm: 7.4310 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9586 loss: 0.9586 2022/08/04 02:05:07 - mmengine - INFO - Epoch(train) [234][140/1879] lr: 1.0000e-04 eta: 3:25:33 time: 0.2856 data_time: 0.0239 memory: 8198 grad_norm: 7.2338 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8712 loss: 0.8712 2022/08/04 02:05:13 - mmengine - INFO - Epoch(train) [234][160/1879] lr: 1.0000e-04 eta: 3:25:27 time: 0.2867 data_time: 0.0188 memory: 8198 grad_norm: 7.5799 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8266 loss: 0.8266 2022/08/04 02:05:19 - mmengine - INFO - Epoch(train) [234][180/1879] lr: 1.0000e-04 eta: 3:25:21 time: 0.2858 data_time: 0.0232 memory: 8198 grad_norm: 7.4030 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0540 loss: 1.0540 2022/08/04 02:05:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:05:24 - mmengine - INFO - Epoch(train) [234][200/1879] lr: 1.0000e-04 eta: 3:25:16 time: 0.2877 data_time: 0.0192 memory: 8198 grad_norm: 7.3296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8390 loss: 0.8390 2022/08/04 02:05:30 - mmengine - INFO - Epoch(train) [234][220/1879] lr: 1.0000e-04 eta: 3:25:10 time: 0.2920 data_time: 0.0249 memory: 8198 grad_norm: 7.3267 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9344 loss: 0.9344 2022/08/04 02:05:36 - mmengine - INFO - Epoch(train) [234][240/1879] lr: 1.0000e-04 eta: 3:25:04 time: 0.2889 data_time: 0.0279 memory: 8198 grad_norm: 7.3331 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9958 loss: 0.9958 2022/08/04 02:05:42 - mmengine - INFO - Epoch(train) [234][260/1879] lr: 1.0000e-04 eta: 3:24:58 time: 0.2882 data_time: 0.0248 memory: 8198 grad_norm: 7.5632 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0636 loss: 1.0636 2022/08/04 02:05:48 - mmengine - INFO - Epoch(train) [234][280/1879] lr: 1.0000e-04 eta: 3:24:53 time: 0.2879 data_time: 0.0223 memory: 8198 grad_norm: 7.5077 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0697 loss: 1.0697 2022/08/04 02:05:54 - mmengine - INFO - Epoch(train) [234][300/1879] lr: 1.0000e-04 eta: 3:24:47 time: 0.2885 data_time: 0.0241 memory: 8198 grad_norm: 7.3490 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/08/04 02:05:59 - mmengine - INFO - Epoch(train) [234][320/1879] lr: 1.0000e-04 eta: 3:24:41 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 7.4654 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0812 loss: 1.0812 2022/08/04 02:06:05 - mmengine - INFO - Epoch(train) [234][340/1879] lr: 1.0000e-04 eta: 3:24:35 time: 0.2873 data_time: 0.0197 memory: 8198 grad_norm: 7.2937 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9214 loss: 0.9214 2022/08/04 02:06:11 - mmengine - INFO - Epoch(train) [234][360/1879] lr: 1.0000e-04 eta: 3:24:30 time: 0.2916 data_time: 0.0265 memory: 8198 grad_norm: 7.3890 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/08/04 02:06:17 - mmengine - INFO - Epoch(train) [234][380/1879] lr: 1.0000e-04 eta: 3:24:24 time: 0.2852 data_time: 0.0219 memory: 8198 grad_norm: 7.5165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/08/04 02:06:22 - mmengine - INFO - Epoch(train) [234][400/1879] lr: 1.0000e-04 eta: 3:24:18 time: 0.2867 data_time: 0.0205 memory: 8198 grad_norm: 7.4055 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9055 loss: 0.9055 2022/08/04 02:06:28 - mmengine - INFO - Epoch(train) [234][420/1879] lr: 1.0000e-04 eta: 3:24:13 time: 0.2892 data_time: 0.0263 memory: 8198 grad_norm: 7.4926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9024 loss: 0.9024 2022/08/04 02:06:34 - mmengine - INFO - Epoch(train) [234][440/1879] lr: 1.0000e-04 eta: 3:24:07 time: 0.2857 data_time: 0.0194 memory: 8198 grad_norm: 7.4147 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9754 loss: 0.9754 2022/08/04 02:06:40 - mmengine - INFO - Epoch(train) [234][460/1879] lr: 1.0000e-04 eta: 3:24:01 time: 0.2938 data_time: 0.0209 memory: 8198 grad_norm: 7.4646 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9172 loss: 0.9172 2022/08/04 02:06:46 - mmengine - INFO - Epoch(train) [234][480/1879] lr: 1.0000e-04 eta: 3:23:55 time: 0.2836 data_time: 0.0221 memory: 8198 grad_norm: 7.4865 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9441 loss: 0.9441 2022/08/04 02:06:51 - mmengine - INFO - Epoch(train) [234][500/1879] lr: 1.0000e-04 eta: 3:23:50 time: 0.2852 data_time: 0.0212 memory: 8198 grad_norm: 7.5545 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9023 loss: 0.9023 2022/08/04 02:06:57 - mmengine - INFO - Epoch(train) [234][520/1879] lr: 1.0000e-04 eta: 3:23:44 time: 0.2904 data_time: 0.0250 memory: 8198 grad_norm: 7.3151 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/04 02:07:03 - mmengine - INFO - Epoch(train) [234][540/1879] lr: 1.0000e-04 eta: 3:23:38 time: 0.2894 data_time: 0.0246 memory: 8198 grad_norm: 7.4469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7853 loss: 0.7853 2022/08/04 02:07:09 - mmengine - INFO - Epoch(train) [234][560/1879] lr: 1.0000e-04 eta: 3:23:33 time: 0.2864 data_time: 0.0214 memory: 8198 grad_norm: 7.4905 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9440 loss: 0.9440 2022/08/04 02:07:15 - mmengine - INFO - Epoch(train) [234][580/1879] lr: 1.0000e-04 eta: 3:23:27 time: 0.2880 data_time: 0.0207 memory: 8198 grad_norm: 7.3611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8561 loss: 0.8561 2022/08/04 02:07:20 - mmengine - INFO - Epoch(train) [234][600/1879] lr: 1.0000e-04 eta: 3:23:21 time: 0.2874 data_time: 0.0230 memory: 8198 grad_norm: 7.5266 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8018 loss: 0.8018 2022/08/04 02:07:26 - mmengine - INFO - Epoch(train) [234][620/1879] lr: 1.0000e-04 eta: 3:23:15 time: 0.2895 data_time: 0.0232 memory: 8198 grad_norm: 7.3194 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9355 loss: 0.9355 2022/08/04 02:07:32 - mmengine - INFO - Epoch(train) [234][640/1879] lr: 1.0000e-04 eta: 3:23:10 time: 0.2908 data_time: 0.0238 memory: 8198 grad_norm: 7.2820 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0497 loss: 1.0497 2022/08/04 02:07:38 - mmengine - INFO - Epoch(train) [234][660/1879] lr: 1.0000e-04 eta: 3:23:04 time: 0.2863 data_time: 0.0204 memory: 8198 grad_norm: 7.3338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9672 loss: 0.9672 2022/08/04 02:07:44 - mmengine - INFO - Epoch(train) [234][680/1879] lr: 1.0000e-04 eta: 3:22:58 time: 0.2893 data_time: 0.0236 memory: 8198 grad_norm: 7.3933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9936 loss: 0.9936 2022/08/04 02:07:49 - mmengine - INFO - Epoch(train) [234][700/1879] lr: 1.0000e-04 eta: 3:22:52 time: 0.2862 data_time: 0.0233 memory: 8198 grad_norm: 7.1099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7038 loss: 0.7038 2022/08/04 02:07:55 - mmengine - INFO - Epoch(train) [234][720/1879] lr: 1.0000e-04 eta: 3:22:47 time: 0.2856 data_time: 0.0206 memory: 8198 grad_norm: 7.3657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9945 loss: 0.9945 2022/08/04 02:08:01 - mmengine - INFO - Epoch(train) [234][740/1879] lr: 1.0000e-04 eta: 3:22:41 time: 0.2947 data_time: 0.0226 memory: 8198 grad_norm: 7.1857 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8181 loss: 0.8181 2022/08/04 02:08:07 - mmengine - INFO - Epoch(train) [234][760/1879] lr: 1.0000e-04 eta: 3:22:35 time: 0.2900 data_time: 0.0224 memory: 8198 grad_norm: 7.5325 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9053 loss: 0.9053 2022/08/04 02:08:13 - mmengine - INFO - Epoch(train) [234][780/1879] lr: 1.0000e-04 eta: 3:22:30 time: 0.2824 data_time: 0.0188 memory: 8198 grad_norm: 7.3207 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0712 loss: 1.0712 2022/08/04 02:08:18 - mmengine - INFO - Epoch(train) [234][800/1879] lr: 1.0000e-04 eta: 3:22:24 time: 0.2921 data_time: 0.0321 memory: 8198 grad_norm: 7.6212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9366 loss: 0.9366 2022/08/04 02:08:24 - mmengine - INFO - Epoch(train) [234][820/1879] lr: 1.0000e-04 eta: 3:22:18 time: 0.2902 data_time: 0.0242 memory: 8198 grad_norm: 7.1853 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/04 02:08:31 - mmengine - INFO - Epoch(train) [234][840/1879] lr: 1.0000e-04 eta: 3:22:12 time: 0.3117 data_time: 0.0189 memory: 8198 grad_norm: 7.5244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9785 loss: 0.9785 2022/08/04 02:08:36 - mmengine - INFO - Epoch(train) [234][860/1879] lr: 1.0000e-04 eta: 3:22:07 time: 0.2807 data_time: 0.0206 memory: 8198 grad_norm: 6.9813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8579 loss: 0.8579 2022/08/04 02:08:42 - mmengine - INFO - Epoch(train) [234][880/1879] lr: 1.0000e-04 eta: 3:22:01 time: 0.2862 data_time: 0.0193 memory: 8198 grad_norm: 7.3073 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9672 loss: 0.9672 2022/08/04 02:08:48 - mmengine - INFO - Epoch(train) [234][900/1879] lr: 1.0000e-04 eta: 3:21:55 time: 0.2968 data_time: 0.0313 memory: 8198 grad_norm: 7.0890 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/04 02:08:54 - mmengine - INFO - Epoch(train) [234][920/1879] lr: 1.0000e-04 eta: 3:21:50 time: 0.2948 data_time: 0.0228 memory: 8198 grad_norm: 7.4276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8647 loss: 0.8647 2022/08/04 02:09:00 - mmengine - INFO - Epoch(train) [234][940/1879] lr: 1.0000e-04 eta: 3:21:44 time: 0.2874 data_time: 0.0227 memory: 8198 grad_norm: 7.3462 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/08/04 02:09:05 - mmengine - INFO - Epoch(train) [234][960/1879] lr: 1.0000e-04 eta: 3:21:38 time: 0.2898 data_time: 0.0198 memory: 8198 grad_norm: 7.2604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8956 loss: 0.8956 2022/08/04 02:09:11 - mmengine - INFO - Epoch(train) [234][980/1879] lr: 1.0000e-04 eta: 3:21:32 time: 0.2950 data_time: 0.0273 memory: 8198 grad_norm: 7.5057 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8725 loss: 0.8725 2022/08/04 02:09:17 - mmengine - INFO - Epoch(train) [234][1000/1879] lr: 1.0000e-04 eta: 3:21:27 time: 0.2842 data_time: 0.0220 memory: 8198 grad_norm: 7.1550 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0541 loss: 1.0541 2022/08/04 02:09:23 - mmengine - INFO - Epoch(train) [234][1020/1879] lr: 1.0000e-04 eta: 3:21:21 time: 0.2878 data_time: 0.0238 memory: 8198 grad_norm: 7.5286 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9822 loss: 0.9822 2022/08/04 02:09:29 - mmengine - INFO - Epoch(train) [234][1040/1879] lr: 1.0000e-04 eta: 3:21:15 time: 0.2913 data_time: 0.0216 memory: 8198 grad_norm: 7.2925 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9730 loss: 0.9730 2022/08/04 02:09:35 - mmengine - INFO - Epoch(train) [234][1060/1879] lr: 1.0000e-04 eta: 3:21:10 time: 0.2901 data_time: 0.0212 memory: 8198 grad_norm: 7.0818 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9715 loss: 0.9715 2022/08/04 02:09:40 - mmengine - INFO - Epoch(train) [234][1080/1879] lr: 1.0000e-04 eta: 3:21:04 time: 0.2878 data_time: 0.0224 memory: 8198 grad_norm: 7.0974 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9486 loss: 0.9486 2022/08/04 02:09:46 - mmengine - INFO - Epoch(train) [234][1100/1879] lr: 1.0000e-04 eta: 3:20:58 time: 0.2889 data_time: 0.0248 memory: 8198 grad_norm: 7.3539 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0225 loss: 1.0225 2022/08/04 02:09:52 - mmengine - INFO - Epoch(train) [234][1120/1879] lr: 1.0000e-04 eta: 3:20:52 time: 0.2892 data_time: 0.0212 memory: 8198 grad_norm: 7.2654 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9442 loss: 0.9442 2022/08/04 02:09:58 - mmengine - INFO - Epoch(train) [234][1140/1879] lr: 1.0000e-04 eta: 3:20:47 time: 0.2853 data_time: 0.0221 memory: 8198 grad_norm: 7.7027 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9887 loss: 0.9887 2022/08/04 02:10:04 - mmengine - INFO - Epoch(train) [234][1160/1879] lr: 1.0000e-04 eta: 3:20:41 time: 0.2887 data_time: 0.0192 memory: 8198 grad_norm: 7.4187 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0724 loss: 1.0724 2022/08/04 02:10:09 - mmengine - INFO - Epoch(train) [234][1180/1879] lr: 1.0000e-04 eta: 3:20:35 time: 0.2945 data_time: 0.0270 memory: 8198 grad_norm: 7.2984 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9426 loss: 0.9426 2022/08/04 02:10:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:10:15 - mmengine - INFO - Epoch(train) [234][1200/1879] lr: 1.0000e-04 eta: 3:20:30 time: 0.2875 data_time: 0.0190 memory: 8198 grad_norm: 7.5285 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0344 loss: 1.0344 2022/08/04 02:10:21 - mmengine - INFO - Epoch(train) [234][1220/1879] lr: 1.0000e-04 eta: 3:20:24 time: 0.3102 data_time: 0.0226 memory: 8198 grad_norm: 7.4589 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8513 loss: 0.8513 2022/08/04 02:10:27 - mmengine - INFO - Epoch(train) [234][1240/1879] lr: 1.0000e-04 eta: 3:20:18 time: 0.2838 data_time: 0.0174 memory: 8198 grad_norm: 7.5666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/08/04 02:10:33 - mmengine - INFO - Epoch(train) [234][1260/1879] lr: 1.0000e-04 eta: 3:20:12 time: 0.2869 data_time: 0.0213 memory: 8198 grad_norm: 7.0737 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8516 loss: 0.8516 2022/08/04 02:10:39 - mmengine - INFO - Epoch(train) [234][1280/1879] lr: 1.0000e-04 eta: 3:20:07 time: 0.2889 data_time: 0.0236 memory: 8198 grad_norm: 7.1725 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8397 loss: 0.8397 2022/08/04 02:10:45 - mmengine - INFO - Epoch(train) [234][1300/1879] lr: 1.0000e-04 eta: 3:20:01 time: 0.3055 data_time: 0.0206 memory: 8198 grad_norm: 7.3423 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9230 loss: 0.9230 2022/08/04 02:10:51 - mmengine - INFO - Epoch(train) [234][1320/1879] lr: 1.0000e-04 eta: 3:19:55 time: 0.2866 data_time: 0.0232 memory: 8198 grad_norm: 7.6039 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/04 02:10:56 - mmengine - INFO - Epoch(train) [234][1340/1879] lr: 1.0000e-04 eta: 3:19:50 time: 0.2869 data_time: 0.0215 memory: 8198 grad_norm: 7.5297 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8647 loss: 0.8647 2022/08/04 02:11:03 - mmengine - INFO - Epoch(train) [234][1360/1879] lr: 1.0000e-04 eta: 3:19:44 time: 0.3172 data_time: 0.0221 memory: 8198 grad_norm: 7.3211 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9814 loss: 0.9814 2022/08/04 02:11:09 - mmengine - INFO - Epoch(train) [234][1380/1879] lr: 1.0000e-04 eta: 3:19:38 time: 0.2863 data_time: 0.0199 memory: 8198 grad_norm: 7.6989 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1732 loss: 1.1732 2022/08/04 02:11:14 - mmengine - INFO - Epoch(train) [234][1400/1879] lr: 1.0000e-04 eta: 3:19:32 time: 0.2855 data_time: 0.0205 memory: 8198 grad_norm: 7.7056 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9533 loss: 0.9533 2022/08/04 02:11:20 - mmengine - INFO - Epoch(train) [234][1420/1879] lr: 1.0000e-04 eta: 3:19:27 time: 0.3003 data_time: 0.0188 memory: 8198 grad_norm: 7.4570 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0082 loss: 1.0082 2022/08/04 02:11:26 - mmengine - INFO - Epoch(train) [234][1440/1879] lr: 1.0000e-04 eta: 3:19:21 time: 0.2848 data_time: 0.0221 memory: 8198 grad_norm: 7.3283 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9982 loss: 0.9982 2022/08/04 02:11:32 - mmengine - INFO - Epoch(train) [234][1460/1879] lr: 1.0000e-04 eta: 3:19:15 time: 0.2898 data_time: 0.0223 memory: 8198 grad_norm: 7.3784 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9849 loss: 0.9849 2022/08/04 02:11:38 - mmengine - INFO - Epoch(train) [234][1480/1879] lr: 1.0000e-04 eta: 3:19:10 time: 0.2842 data_time: 0.0174 memory: 8198 grad_norm: 7.4495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7912 loss: 0.7912 2022/08/04 02:11:43 - mmengine - INFO - Epoch(train) [234][1500/1879] lr: 1.0000e-04 eta: 3:19:04 time: 0.2864 data_time: 0.0245 memory: 8198 grad_norm: 7.2418 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0767 loss: 1.0767 2022/08/04 02:11:49 - mmengine - INFO - Epoch(train) [234][1520/1879] lr: 1.0000e-04 eta: 3:18:58 time: 0.2871 data_time: 0.0199 memory: 8198 grad_norm: 7.1724 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9546 loss: 0.9546 2022/08/04 02:11:55 - mmengine - INFO - Epoch(train) [234][1540/1879] lr: 1.0000e-04 eta: 3:18:52 time: 0.3010 data_time: 0.0212 memory: 8198 grad_norm: 7.6627 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7693 loss: 0.7693 2022/08/04 02:12:01 - mmengine - INFO - Epoch(train) [234][1560/1879] lr: 1.0000e-04 eta: 3:18:47 time: 0.2853 data_time: 0.0215 memory: 8198 grad_norm: 7.3232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/08/04 02:12:07 - mmengine - INFO - Epoch(train) [234][1580/1879] lr: 1.0000e-04 eta: 3:18:41 time: 0.2881 data_time: 0.0226 memory: 8198 grad_norm: 7.0951 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8889 loss: 0.8889 2022/08/04 02:12:12 - mmengine - INFO - Epoch(train) [234][1600/1879] lr: 1.0000e-04 eta: 3:18:35 time: 0.2858 data_time: 0.0246 memory: 8198 grad_norm: 7.3671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9851 loss: 0.9851 2022/08/04 02:12:18 - mmengine - INFO - Epoch(train) [234][1620/1879] lr: 1.0000e-04 eta: 3:18:29 time: 0.2936 data_time: 0.0290 memory: 8198 grad_norm: 7.3552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/08/04 02:12:24 - mmengine - INFO - Epoch(train) [234][1640/1879] lr: 1.0000e-04 eta: 3:18:24 time: 0.2897 data_time: 0.0212 memory: 8198 grad_norm: 7.5210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8235 loss: 0.8235 2022/08/04 02:12:30 - mmengine - INFO - Epoch(train) [234][1660/1879] lr: 1.0000e-04 eta: 3:18:18 time: 0.2845 data_time: 0.0202 memory: 8198 grad_norm: 7.4303 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9980 loss: 0.9980 2022/08/04 02:12:36 - mmengine - INFO - Epoch(train) [234][1680/1879] lr: 1.0000e-04 eta: 3:18:12 time: 0.2883 data_time: 0.0243 memory: 8198 grad_norm: 7.3312 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0016 loss: 1.0016 2022/08/04 02:12:42 - mmengine - INFO - Epoch(train) [234][1700/1879] lr: 1.0000e-04 eta: 3:18:07 time: 0.3122 data_time: 0.0222 memory: 8198 grad_norm: 7.2900 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7929 loss: 0.7929 2022/08/04 02:12:48 - mmengine - INFO - Epoch(train) [234][1720/1879] lr: 1.0000e-04 eta: 3:18:01 time: 0.2829 data_time: 0.0185 memory: 8198 grad_norm: 7.5559 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9245 loss: 0.9245 2022/08/04 02:12:53 - mmengine - INFO - Epoch(train) [234][1740/1879] lr: 1.0000e-04 eta: 3:17:55 time: 0.2879 data_time: 0.0220 memory: 8198 grad_norm: 7.1835 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/04 02:13:00 - mmengine - INFO - Epoch(train) [234][1760/1879] lr: 1.0000e-04 eta: 3:17:49 time: 0.3062 data_time: 0.0200 memory: 8198 grad_norm: 7.7297 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0061 loss: 1.0061 2022/08/04 02:13:05 - mmengine - INFO - Epoch(train) [234][1780/1879] lr: 1.0000e-04 eta: 3:17:44 time: 0.2850 data_time: 0.0219 memory: 8198 grad_norm: 7.2790 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8996 loss: 0.8996 2022/08/04 02:13:11 - mmengine - INFO - Epoch(train) [234][1800/1879] lr: 1.0000e-04 eta: 3:17:38 time: 0.3024 data_time: 0.0244 memory: 8198 grad_norm: 7.3100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9473 loss: 0.9473 2022/08/04 02:13:17 - mmengine - INFO - Epoch(train) [234][1820/1879] lr: 1.0000e-04 eta: 3:17:32 time: 0.2830 data_time: 0.0190 memory: 8198 grad_norm: 7.3382 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/04 02:13:23 - mmengine - INFO - Epoch(train) [234][1840/1879] lr: 1.0000e-04 eta: 3:17:27 time: 0.2872 data_time: 0.0249 memory: 8198 grad_norm: 7.5088 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9739 loss: 0.9739 2022/08/04 02:13:29 - mmengine - INFO - Epoch(train) [234][1860/1879] lr: 1.0000e-04 eta: 3:17:21 time: 0.2856 data_time: 0.0231 memory: 8198 grad_norm: 7.3741 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0363 loss: 1.0363 2022/08/04 02:13:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:13:34 - mmengine - INFO - Epoch(train) [234][1879/1879] lr: 1.0000e-04 eta: 3:17:21 time: 0.2648 data_time: 0.0216 memory: 8198 grad_norm: 7.7750 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/08/04 02:13:42 - mmengine - INFO - Epoch(train) [235][20/1879] lr: 1.0000e-04 eta: 3:17:09 time: 0.4083 data_time: 0.1029 memory: 8198 grad_norm: 7.3730 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9097 loss: 0.9097 2022/08/04 02:13:48 - mmengine - INFO - Epoch(train) [235][40/1879] lr: 1.0000e-04 eta: 3:17:04 time: 0.2918 data_time: 0.0226 memory: 8198 grad_norm: 7.3718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/08/04 02:13:54 - mmengine - INFO - Epoch(train) [235][60/1879] lr: 1.0000e-04 eta: 3:16:58 time: 0.3028 data_time: 0.0287 memory: 8198 grad_norm: 7.3724 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9141 loss: 0.9141 2022/08/04 02:14:00 - mmengine - INFO - Epoch(train) [235][80/1879] lr: 1.0000e-04 eta: 3:16:52 time: 0.2847 data_time: 0.0205 memory: 8198 grad_norm: 7.3499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9376 loss: 0.9376 2022/08/04 02:14:05 - mmengine - INFO - Epoch(train) [235][100/1879] lr: 1.0000e-04 eta: 3:16:47 time: 0.2890 data_time: 0.0238 memory: 8198 grad_norm: 7.5395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9578 loss: 0.9578 2022/08/04 02:14:11 - mmengine - INFO - Epoch(train) [235][120/1879] lr: 1.0000e-04 eta: 3:16:41 time: 0.2872 data_time: 0.0178 memory: 8198 grad_norm: 7.3976 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9465 loss: 0.9465 2022/08/04 02:14:17 - mmengine - INFO - Epoch(train) [235][140/1879] lr: 1.0000e-04 eta: 3:16:35 time: 0.2881 data_time: 0.0254 memory: 8198 grad_norm: 7.3944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9783 loss: 0.9783 2022/08/04 02:14:23 - mmengine - INFO - Epoch(train) [235][160/1879] lr: 1.0000e-04 eta: 3:16:29 time: 0.3065 data_time: 0.0235 memory: 8198 grad_norm: 7.3913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7868 loss: 0.7868 2022/08/04 02:14:29 - mmengine - INFO - Epoch(train) [235][180/1879] lr: 1.0000e-04 eta: 3:16:24 time: 0.2870 data_time: 0.0236 memory: 8198 grad_norm: 7.4355 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0008 loss: 1.0008 2022/08/04 02:14:35 - mmengine - INFO - Epoch(train) [235][200/1879] lr: 1.0000e-04 eta: 3:16:18 time: 0.2846 data_time: 0.0209 memory: 8198 grad_norm: 7.3483 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8873 loss: 0.8873 2022/08/04 02:14:41 - mmengine - INFO - Epoch(train) [235][220/1879] lr: 1.0000e-04 eta: 3:16:12 time: 0.2988 data_time: 0.0227 memory: 8198 grad_norm: 7.4796 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/08/04 02:14:46 - mmengine - INFO - Epoch(train) [235][240/1879] lr: 1.0000e-04 eta: 3:16:07 time: 0.2844 data_time: 0.0177 memory: 8198 grad_norm: 7.3451 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9343 loss: 0.9343 2022/08/04 02:14:52 - mmengine - INFO - Epoch(train) [235][260/1879] lr: 1.0000e-04 eta: 3:16:01 time: 0.2867 data_time: 0.0216 memory: 8198 grad_norm: 7.5351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/08/04 02:14:58 - mmengine - INFO - Epoch(train) [235][280/1879] lr: 1.0000e-04 eta: 3:15:55 time: 0.2863 data_time: 0.0227 memory: 8198 grad_norm: 7.2555 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/08/04 02:15:04 - mmengine - INFO - Epoch(train) [235][300/1879] lr: 1.0000e-04 eta: 3:15:49 time: 0.3082 data_time: 0.0225 memory: 8198 grad_norm: 7.3646 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1402 loss: 1.1402 2022/08/04 02:15:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:15:10 - mmengine - INFO - Epoch(train) [235][320/1879] lr: 1.0000e-04 eta: 3:15:44 time: 0.2854 data_time: 0.0221 memory: 8198 grad_norm: 7.3379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8873 loss: 0.8873 2022/08/04 02:15:16 - mmengine - INFO - Epoch(train) [235][340/1879] lr: 1.0000e-04 eta: 3:15:38 time: 0.2852 data_time: 0.0237 memory: 8198 grad_norm: 7.4439 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0230 loss: 1.0230 2022/08/04 02:15:22 - mmengine - INFO - Epoch(train) [235][360/1879] lr: 1.0000e-04 eta: 3:15:32 time: 0.2922 data_time: 0.0205 memory: 8198 grad_norm: 7.3231 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0362 loss: 1.0362 2022/08/04 02:15:27 - mmengine - INFO - Epoch(train) [235][380/1879] lr: 1.0000e-04 eta: 3:15:26 time: 0.2854 data_time: 0.0243 memory: 8198 grad_norm: 7.5215 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8598 loss: 0.8598 2022/08/04 02:15:33 - mmengine - INFO - Epoch(train) [235][400/1879] lr: 1.0000e-04 eta: 3:15:21 time: 0.2880 data_time: 0.0226 memory: 8198 grad_norm: 7.2867 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8935 loss: 0.8935 2022/08/04 02:15:39 - mmengine - INFO - Epoch(train) [235][420/1879] lr: 1.0000e-04 eta: 3:15:15 time: 0.2865 data_time: 0.0214 memory: 8198 grad_norm: 7.7943 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9596 loss: 0.9596 2022/08/04 02:15:45 - mmengine - INFO - Epoch(train) [235][440/1879] lr: 1.0000e-04 eta: 3:15:09 time: 0.2886 data_time: 0.0250 memory: 8198 grad_norm: 7.5146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9510 loss: 0.9510 2022/08/04 02:15:51 - mmengine - INFO - Epoch(train) [235][460/1879] lr: 1.0000e-04 eta: 3:15:04 time: 0.2965 data_time: 0.0235 memory: 8198 grad_norm: 7.4595 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8933 loss: 0.8933 2022/08/04 02:15:56 - mmengine - INFO - Epoch(train) [235][480/1879] lr: 1.0000e-04 eta: 3:14:58 time: 0.2891 data_time: 0.0187 memory: 8198 grad_norm: 7.2242 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8326 loss: 0.8326 2022/08/04 02:16:02 - mmengine - INFO - Epoch(train) [235][500/1879] lr: 1.0000e-04 eta: 3:14:52 time: 0.3031 data_time: 0.0244 memory: 8198 grad_norm: 7.5233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8874 loss: 0.8874 2022/08/04 02:16:08 - mmengine - INFO - Epoch(train) [235][520/1879] lr: 1.0000e-04 eta: 3:14:46 time: 0.2838 data_time: 0.0189 memory: 8198 grad_norm: 7.1401 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0133 loss: 1.0133 2022/08/04 02:16:14 - mmengine - INFO - Epoch(train) [235][540/1879] lr: 1.0000e-04 eta: 3:14:41 time: 0.2959 data_time: 0.0245 memory: 8198 grad_norm: 7.0167 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8815 loss: 0.8815 2022/08/04 02:16:20 - mmengine - INFO - Epoch(train) [235][560/1879] lr: 1.0000e-04 eta: 3:14:35 time: 0.2893 data_time: 0.0291 memory: 8198 grad_norm: 7.3593 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0947 loss: 1.0947 2022/08/04 02:16:26 - mmengine - INFO - Epoch(train) [235][580/1879] lr: 1.0000e-04 eta: 3:14:29 time: 0.2867 data_time: 0.0192 memory: 8198 grad_norm: 7.5354 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8086 loss: 0.8086 2022/08/04 02:16:32 - mmengine - INFO - Epoch(train) [235][600/1879] lr: 1.0000e-04 eta: 3:14:24 time: 0.2960 data_time: 0.0252 memory: 8198 grad_norm: 7.5243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0661 loss: 1.0661 2022/08/04 02:16:37 - mmengine - INFO - Epoch(train) [235][620/1879] lr: 1.0000e-04 eta: 3:14:18 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 7.4518 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8669 loss: 0.8669 2022/08/04 02:16:43 - mmengine - INFO - Epoch(train) [235][640/1879] lr: 1.0000e-04 eta: 3:14:12 time: 0.2863 data_time: 0.0172 memory: 8198 grad_norm: 7.6323 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7355 loss: 0.7355 2022/08/04 02:16:49 - mmengine - INFO - Epoch(train) [235][660/1879] lr: 1.0000e-04 eta: 3:14:06 time: 0.2873 data_time: 0.0222 memory: 8198 grad_norm: 7.1257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/04 02:16:55 - mmengine - INFO - Epoch(train) [235][680/1879] lr: 1.0000e-04 eta: 3:14:01 time: 0.2900 data_time: 0.0217 memory: 8198 grad_norm: 7.2812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/04 02:17:01 - mmengine - INFO - Epoch(train) [235][700/1879] lr: 1.0000e-04 eta: 3:13:55 time: 0.2859 data_time: 0.0270 memory: 8198 grad_norm: 7.3740 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9231 loss: 0.9231 2022/08/04 02:17:06 - mmengine - INFO - Epoch(train) [235][720/1879] lr: 1.0000e-04 eta: 3:13:49 time: 0.2867 data_time: 0.0189 memory: 8198 grad_norm: 7.3367 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/04 02:17:12 - mmengine - INFO - Epoch(train) [235][740/1879] lr: 1.0000e-04 eta: 3:13:44 time: 0.2920 data_time: 0.0229 memory: 8198 grad_norm: 7.2718 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8665 loss: 0.8665 2022/08/04 02:17:18 - mmengine - INFO - Epoch(train) [235][760/1879] lr: 1.0000e-04 eta: 3:13:38 time: 0.2888 data_time: 0.0288 memory: 8198 grad_norm: 7.6156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8201 loss: 0.8201 2022/08/04 02:17:24 - mmengine - INFO - Epoch(train) [235][780/1879] lr: 1.0000e-04 eta: 3:13:32 time: 0.2856 data_time: 0.0224 memory: 8198 grad_norm: 7.3695 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8246 loss: 0.8246 2022/08/04 02:17:29 - mmengine - INFO - Epoch(train) [235][800/1879] lr: 1.0000e-04 eta: 3:13:26 time: 0.2867 data_time: 0.0239 memory: 8198 grad_norm: 7.2459 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/04 02:17:35 - mmengine - INFO - Epoch(train) [235][820/1879] lr: 1.0000e-04 eta: 3:13:21 time: 0.2984 data_time: 0.0218 memory: 8198 grad_norm: 7.1253 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7661 loss: 0.7661 2022/08/04 02:17:41 - mmengine - INFO - Epoch(train) [235][840/1879] lr: 1.0000e-04 eta: 3:13:15 time: 0.2883 data_time: 0.0186 memory: 8198 grad_norm: 7.4720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/08/04 02:17:47 - mmengine - INFO - Epoch(train) [235][860/1879] lr: 1.0000e-04 eta: 3:13:09 time: 0.2857 data_time: 0.0251 memory: 8198 grad_norm: 7.3629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0390 loss: 1.0390 2022/08/04 02:17:53 - mmengine - INFO - Epoch(train) [235][880/1879] lr: 1.0000e-04 eta: 3:13:04 time: 0.2970 data_time: 0.0173 memory: 8198 grad_norm: 7.2758 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8531 loss: 0.8531 2022/08/04 02:17:59 - mmengine - INFO - Epoch(train) [235][900/1879] lr: 1.0000e-04 eta: 3:12:58 time: 0.2875 data_time: 0.0291 memory: 8198 grad_norm: 7.4693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9880 loss: 0.9880 2022/08/04 02:18:05 - mmengine - INFO - Epoch(train) [235][920/1879] lr: 1.0000e-04 eta: 3:12:52 time: 0.2842 data_time: 0.0195 memory: 8198 grad_norm: 7.4314 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/04 02:18:10 - mmengine - INFO - Epoch(train) [235][940/1879] lr: 1.0000e-04 eta: 3:12:46 time: 0.2905 data_time: 0.0267 memory: 8198 grad_norm: 7.3676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8272 loss: 0.8272 2022/08/04 02:18:16 - mmengine - INFO - Epoch(train) [235][960/1879] lr: 1.0000e-04 eta: 3:12:41 time: 0.2899 data_time: 0.0242 memory: 8198 grad_norm: 7.2791 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9965 loss: 0.9965 2022/08/04 02:18:22 - mmengine - INFO - Epoch(train) [235][980/1879] lr: 1.0000e-04 eta: 3:12:35 time: 0.2914 data_time: 0.0221 memory: 8198 grad_norm: 7.5616 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0807 loss: 1.0807 2022/08/04 02:18:28 - mmengine - INFO - Epoch(train) [235][1000/1879] lr: 1.0000e-04 eta: 3:12:29 time: 0.2872 data_time: 0.0251 memory: 8198 grad_norm: 7.5447 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8762 loss: 0.8762 2022/08/04 02:18:34 - mmengine - INFO - Epoch(train) [235][1020/1879] lr: 1.0000e-04 eta: 3:12:23 time: 0.2896 data_time: 0.0201 memory: 8198 grad_norm: 7.1697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0007 loss: 1.0007 2022/08/04 02:18:39 - mmengine - INFO - Epoch(train) [235][1040/1879] lr: 1.0000e-04 eta: 3:12:18 time: 0.2851 data_time: 0.0192 memory: 8198 grad_norm: 7.3953 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/04 02:18:45 - mmengine - INFO - Epoch(train) [235][1060/1879] lr: 1.0000e-04 eta: 3:12:12 time: 0.2875 data_time: 0.0202 memory: 8198 grad_norm: 7.7402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9465 loss: 0.9465 2022/08/04 02:18:51 - mmengine - INFO - Epoch(train) [235][1080/1879] lr: 1.0000e-04 eta: 3:12:06 time: 0.3122 data_time: 0.0289 memory: 8198 grad_norm: 7.4587 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9294 loss: 0.9294 2022/08/04 02:18:57 - mmengine - INFO - Epoch(train) [235][1100/1879] lr: 1.0000e-04 eta: 3:12:01 time: 0.2845 data_time: 0.0205 memory: 8198 grad_norm: 7.3666 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0469 loss: 1.0469 2022/08/04 02:19:03 - mmengine - INFO - Epoch(train) [235][1120/1879] lr: 1.0000e-04 eta: 3:11:55 time: 0.2879 data_time: 0.0229 memory: 8198 grad_norm: 7.2572 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7970 loss: 0.7970 2022/08/04 02:19:09 - mmengine - INFO - Epoch(train) [235][1140/1879] lr: 1.0000e-04 eta: 3:11:49 time: 0.2983 data_time: 0.0190 memory: 8198 grad_norm: 7.5628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0083 loss: 1.0083 2022/08/04 02:19:15 - mmengine - INFO - Epoch(train) [235][1160/1879] lr: 1.0000e-04 eta: 3:11:43 time: 0.2892 data_time: 0.0188 memory: 8198 grad_norm: 7.6322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/08/04 02:19:20 - mmengine - INFO - Epoch(train) [235][1180/1879] lr: 1.0000e-04 eta: 3:11:38 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 7.6305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/08/04 02:19:26 - mmengine - INFO - Epoch(train) [235][1200/1879] lr: 1.0000e-04 eta: 3:11:32 time: 0.2903 data_time: 0.0242 memory: 8198 grad_norm: 7.2072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8967 loss: 0.8967 2022/08/04 02:19:32 - mmengine - INFO - Epoch(train) [235][1220/1879] lr: 1.0000e-04 eta: 3:11:26 time: 0.2880 data_time: 0.0204 memory: 8198 grad_norm: 7.5284 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0293 loss: 1.0293 2022/08/04 02:19:38 - mmengine - INFO - Epoch(train) [235][1240/1879] lr: 1.0000e-04 eta: 3:11:21 time: 0.2869 data_time: 0.0209 memory: 8198 grad_norm: 7.3166 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/04 02:19:44 - mmengine - INFO - Epoch(train) [235][1260/1879] lr: 1.0000e-04 eta: 3:11:15 time: 0.2921 data_time: 0.0219 memory: 8198 grad_norm: 7.1988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9599 loss: 0.9599 2022/08/04 02:19:49 - mmengine - INFO - Epoch(train) [235][1280/1879] lr: 1.0000e-04 eta: 3:11:09 time: 0.2827 data_time: 0.0189 memory: 8198 grad_norm: 7.4395 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7688 loss: 0.7688 2022/08/04 02:19:55 - mmengine - INFO - Epoch(train) [235][1300/1879] lr: 1.0000e-04 eta: 3:11:03 time: 0.2866 data_time: 0.0220 memory: 8198 grad_norm: 7.0771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/08/04 02:19:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:20:01 - mmengine - INFO - Epoch(train) [235][1320/1879] lr: 1.0000e-04 eta: 3:10:58 time: 0.2981 data_time: 0.0226 memory: 8198 grad_norm: 7.0864 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/08/04 02:20:07 - mmengine - INFO - Epoch(train) [235][1340/1879] lr: 1.0000e-04 eta: 3:10:52 time: 0.2831 data_time: 0.0177 memory: 8198 grad_norm: 7.6247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9552 loss: 0.9552 2022/08/04 02:20:13 - mmengine - INFO - Epoch(train) [235][1360/1879] lr: 1.0000e-04 eta: 3:10:46 time: 0.2950 data_time: 0.0233 memory: 8198 grad_norm: 7.3037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9807 loss: 0.9807 2022/08/04 02:20:19 - mmengine - INFO - Epoch(train) [235][1380/1879] lr: 1.0000e-04 eta: 3:10:40 time: 0.2856 data_time: 0.0228 memory: 8198 grad_norm: 7.4786 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8595 loss: 0.8595 2022/08/04 02:20:25 - mmengine - INFO - Epoch(train) [235][1400/1879] lr: 1.0000e-04 eta: 3:10:35 time: 0.2979 data_time: 0.0198 memory: 8198 grad_norm: 7.0622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8957 loss: 0.8957 2022/08/04 02:20:30 - mmengine - INFO - Epoch(train) [235][1420/1879] lr: 1.0000e-04 eta: 3:10:29 time: 0.2855 data_time: 0.0198 memory: 8198 grad_norm: 7.2537 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9995 loss: 0.9995 2022/08/04 02:20:36 - mmengine - INFO - Epoch(train) [235][1440/1879] lr: 1.0000e-04 eta: 3:10:23 time: 0.2896 data_time: 0.0243 memory: 8198 grad_norm: 7.6812 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9720 loss: 0.9720 2022/08/04 02:20:42 - mmengine - INFO - Epoch(train) [235][1460/1879] lr: 1.0000e-04 eta: 3:10:18 time: 0.2896 data_time: 0.0247 memory: 8198 grad_norm: 7.5639 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9788 loss: 0.9788 2022/08/04 02:20:48 - mmengine - INFO - Epoch(train) [235][1480/1879] lr: 1.0000e-04 eta: 3:10:12 time: 0.2871 data_time: 0.0192 memory: 8198 grad_norm: 7.5239 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9191 loss: 0.9191 2022/08/04 02:20:53 - mmengine - INFO - Epoch(train) [235][1500/1879] lr: 1.0000e-04 eta: 3:10:06 time: 0.2874 data_time: 0.0227 memory: 8198 grad_norm: 7.4762 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/08/04 02:20:59 - mmengine - INFO - Epoch(train) [235][1520/1879] lr: 1.0000e-04 eta: 3:10:00 time: 0.2867 data_time: 0.0202 memory: 8198 grad_norm: 7.4120 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.8399 loss: 0.8399 2022/08/04 02:21:05 - mmengine - INFO - Epoch(train) [235][1540/1879] lr: 1.0000e-04 eta: 3:09:55 time: 0.2921 data_time: 0.0194 memory: 8198 grad_norm: 7.3036 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0851 loss: 1.0851 2022/08/04 02:21:11 - mmengine - INFO - Epoch(train) [235][1560/1879] lr: 1.0000e-04 eta: 3:09:49 time: 0.2847 data_time: 0.0216 memory: 8198 grad_norm: 7.6294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/08/04 02:21:17 - mmengine - INFO - Epoch(train) [235][1580/1879] lr: 1.0000e-04 eta: 3:09:43 time: 0.2895 data_time: 0.0252 memory: 8198 grad_norm: 7.5102 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9911 loss: 0.9911 2022/08/04 02:21:23 - mmengine - INFO - Epoch(train) [235][1600/1879] lr: 1.0000e-04 eta: 3:09:38 time: 0.2950 data_time: 0.0215 memory: 8198 grad_norm: 7.5373 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0703 loss: 1.0703 2022/08/04 02:21:28 - mmengine - INFO - Epoch(train) [235][1620/1879] lr: 1.0000e-04 eta: 3:09:32 time: 0.2868 data_time: 0.0237 memory: 8198 grad_norm: 7.4460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9189 loss: 0.9189 2022/08/04 02:21:34 - mmengine - INFO - Epoch(train) [235][1640/1879] lr: 1.0000e-04 eta: 3:09:26 time: 0.2890 data_time: 0.0224 memory: 8198 grad_norm: 7.2641 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8576 loss: 0.8576 2022/08/04 02:21:40 - mmengine - INFO - Epoch(train) [235][1660/1879] lr: 1.0000e-04 eta: 3:09:20 time: 0.2863 data_time: 0.0213 memory: 8198 grad_norm: 7.3845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/08/04 02:21:46 - mmengine - INFO - Epoch(train) [235][1680/1879] lr: 1.0000e-04 eta: 3:09:15 time: 0.2988 data_time: 0.0194 memory: 8198 grad_norm: 7.4718 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9066 loss: 0.9066 2022/08/04 02:21:52 - mmengine - INFO - Epoch(train) [235][1700/1879] lr: 1.0000e-04 eta: 3:09:09 time: 0.2865 data_time: 0.0239 memory: 8198 grad_norm: 7.1097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8381 loss: 0.8381 2022/08/04 02:21:58 - mmengine - INFO - Epoch(train) [235][1720/1879] lr: 1.0000e-04 eta: 3:09:03 time: 0.2878 data_time: 0.0216 memory: 8198 grad_norm: 7.2912 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9691 loss: 0.9691 2022/08/04 02:22:04 - mmengine - INFO - Epoch(train) [235][1740/1879] lr: 1.0000e-04 eta: 3:08:58 time: 0.3014 data_time: 0.0257 memory: 8198 grad_norm: 7.5563 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9641 loss: 0.9641 2022/08/04 02:22:09 - mmengine - INFO - Epoch(train) [235][1760/1879] lr: 1.0000e-04 eta: 3:08:52 time: 0.2848 data_time: 0.0179 memory: 8198 grad_norm: 7.6441 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9973 loss: 0.9973 2022/08/04 02:22:15 - mmengine - INFO - Epoch(train) [235][1780/1879] lr: 1.0000e-04 eta: 3:08:46 time: 0.2878 data_time: 0.0234 memory: 8198 grad_norm: 7.6047 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0711 loss: 1.0711 2022/08/04 02:22:21 - mmengine - INFO - Epoch(train) [235][1800/1879] lr: 1.0000e-04 eta: 3:08:40 time: 0.2878 data_time: 0.0219 memory: 8198 grad_norm: 7.5947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9072 loss: 0.9072 2022/08/04 02:22:27 - mmengine - INFO - Epoch(train) [235][1820/1879] lr: 1.0000e-04 eta: 3:08:35 time: 0.2945 data_time: 0.0191 memory: 8198 grad_norm: 7.4065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/08/04 02:22:33 - mmengine - INFO - Epoch(train) [235][1840/1879] lr: 1.0000e-04 eta: 3:08:29 time: 0.2860 data_time: 0.0229 memory: 8198 grad_norm: 7.3294 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/04 02:22:38 - mmengine - INFO - Epoch(train) [235][1860/1879] lr: 1.0000e-04 eta: 3:08:23 time: 0.2891 data_time: 0.0189 memory: 8198 grad_norm: 7.2899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8842 loss: 0.8842 2022/08/04 02:22:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:22:44 - mmengine - INFO - Epoch(train) [235][1879/1879] lr: 1.0000e-04 eta: 3:08:23 time: 0.2966 data_time: 0.0178 memory: 8198 grad_norm: 7.6773 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0672 loss: 1.0672 2022/08/04 02:22:51 - mmengine - INFO - Epoch(val) [235][20/155] eta: 0:00:44 time: 0.3320 data_time: 0.2397 memory: 1514 2022/08/04 02:22:55 - mmengine - INFO - Epoch(val) [235][40/155] eta: 0:00:25 time: 0.2201 data_time: 0.1327 memory: 1514 2022/08/04 02:23:01 - mmengine - INFO - Epoch(val) [235][60/155] eta: 0:00:28 time: 0.2973 data_time: 0.2108 memory: 1514 2022/08/04 02:23:06 - mmengine - INFO - Epoch(val) [235][80/155] eta: 0:00:18 time: 0.2471 data_time: 0.1594 memory: 1514 2022/08/04 02:23:12 - mmengine - INFO - Epoch(val) [235][100/155] eta: 0:00:17 time: 0.3106 data_time: 0.2221 memory: 1514 2022/08/04 02:23:17 - mmengine - INFO - Epoch(val) [235][120/155] eta: 0:00:08 time: 0.2361 data_time: 0.1508 memory: 1514 2022/08/04 02:23:23 - mmengine - INFO - Epoch(val) [235][140/155] eta: 0:00:04 time: 0.3085 data_time: 0.2206 memory: 1514 2022/08/04 02:23:28 - mmengine - INFO - Epoch(val) [235][155/155] acc/top1: 0.6798 acc/top5: 0.8672 acc/mean1: 0.6797 2022/08/04 02:23:36 - mmengine - INFO - Epoch(train) [236][20/1879] lr: 1.0000e-04 eta: 3:08:12 time: 0.4144 data_time: 0.1145 memory: 8198 grad_norm: 7.3881 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8707 loss: 0.8707 2022/08/04 02:23:42 - mmengine - INFO - Epoch(train) [236][40/1879] lr: 1.0000e-04 eta: 3:08:06 time: 0.2934 data_time: 0.0213 memory: 8198 grad_norm: 7.5151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/08/04 02:23:48 - mmengine - INFO - Epoch(train) [236][60/1879] lr: 1.0000e-04 eta: 3:08:00 time: 0.2869 data_time: 0.0188 memory: 8198 grad_norm: 7.5670 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0255 loss: 1.0255 2022/08/04 02:23:54 - mmengine - INFO - Epoch(train) [236][80/1879] lr: 1.0000e-04 eta: 3:07:55 time: 0.2889 data_time: 0.0200 memory: 8198 grad_norm: 7.4725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9531 loss: 0.9531 2022/08/04 02:24:00 - mmengine - INFO - Epoch(train) [236][100/1879] lr: 1.0000e-04 eta: 3:07:49 time: 0.2908 data_time: 0.0268 memory: 8198 grad_norm: 7.1804 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8924 loss: 0.8924 2022/08/04 02:24:06 - mmengine - INFO - Epoch(train) [236][120/1879] lr: 1.0000e-04 eta: 3:07:43 time: 0.3062 data_time: 0.0195 memory: 8198 grad_norm: 7.1566 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0139 loss: 1.0139 2022/08/04 02:24:12 - mmengine - INFO - Epoch(train) [236][140/1879] lr: 1.0000e-04 eta: 3:07:37 time: 0.2869 data_time: 0.0201 memory: 8198 grad_norm: 7.4585 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8610 loss: 0.8610 2022/08/04 02:24:17 - mmengine - INFO - Epoch(train) [236][160/1879] lr: 1.0000e-04 eta: 3:07:32 time: 0.2858 data_time: 0.0210 memory: 8198 grad_norm: 7.3497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7922 loss: 0.7922 2022/08/04 02:24:23 - mmengine - INFO - Epoch(train) [236][180/1879] lr: 1.0000e-04 eta: 3:07:26 time: 0.2932 data_time: 0.0227 memory: 8198 grad_norm: 7.5139 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9507 loss: 0.9507 2022/08/04 02:24:29 - mmengine - INFO - Epoch(train) [236][200/1879] lr: 1.0000e-04 eta: 3:07:20 time: 0.2872 data_time: 0.0213 memory: 8198 grad_norm: 7.2188 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9030 loss: 0.9030 2022/08/04 02:24:35 - mmengine - INFO - Epoch(train) [236][220/1879] lr: 1.0000e-04 eta: 3:07:15 time: 0.2910 data_time: 0.0230 memory: 8198 grad_norm: 7.1146 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0462 loss: 1.0462 2022/08/04 02:24:41 - mmengine - INFO - Epoch(train) [236][240/1879] lr: 1.0000e-04 eta: 3:07:09 time: 0.2888 data_time: 0.0257 memory: 8198 grad_norm: 7.1662 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9238 loss: 0.9238 2022/08/04 02:24:47 - mmengine - INFO - Epoch(train) [236][260/1879] lr: 1.0000e-04 eta: 3:07:03 time: 0.2850 data_time: 0.0220 memory: 8198 grad_norm: 7.6186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0043 loss: 1.0043 2022/08/04 02:24:52 - mmengine - INFO - Epoch(train) [236][280/1879] lr: 1.0000e-04 eta: 3:06:57 time: 0.2969 data_time: 0.0303 memory: 8198 grad_norm: 7.1128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9602 loss: 0.9602 2022/08/04 02:24:58 - mmengine - INFO - Epoch(train) [236][300/1879] lr: 1.0000e-04 eta: 3:06:52 time: 0.2866 data_time: 0.0216 memory: 8198 grad_norm: 7.1393 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8817 loss: 0.8817 2022/08/04 02:25:04 - mmengine - INFO - Epoch(train) [236][320/1879] lr: 1.0000e-04 eta: 3:06:46 time: 0.2985 data_time: 0.0229 memory: 8198 grad_norm: 7.5075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0181 loss: 1.0181 2022/08/04 02:25:10 - mmengine - INFO - Epoch(train) [236][340/1879] lr: 1.0000e-04 eta: 3:06:40 time: 0.2859 data_time: 0.0239 memory: 8198 grad_norm: 7.5594 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8283 loss: 0.8283 2022/08/04 02:25:16 - mmengine - INFO - Epoch(train) [236][360/1879] lr: 1.0000e-04 eta: 3:06:35 time: 0.2923 data_time: 0.0183 memory: 8198 grad_norm: 7.6172 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0479 loss: 1.0479 2022/08/04 02:25:22 - mmengine - INFO - Epoch(train) [236][380/1879] lr: 1.0000e-04 eta: 3:06:29 time: 0.2943 data_time: 0.0228 memory: 8198 grad_norm: 7.5757 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1349 loss: 1.1349 2022/08/04 02:25:27 - mmengine - INFO - Epoch(train) [236][400/1879] lr: 1.0000e-04 eta: 3:06:23 time: 0.2849 data_time: 0.0206 memory: 8198 grad_norm: 7.4138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1504 loss: 1.1504 2022/08/04 02:25:33 - mmengine - INFO - Epoch(train) [236][420/1879] lr: 1.0000e-04 eta: 3:06:17 time: 0.2884 data_time: 0.0252 memory: 8198 grad_norm: 7.4852 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8604 loss: 0.8604 2022/08/04 02:25:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:25:39 - mmengine - INFO - Epoch(train) [236][440/1879] lr: 1.0000e-04 eta: 3:06:12 time: 0.2842 data_time: 0.0177 memory: 8198 grad_norm: 7.2283 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0181 loss: 1.0181 2022/08/04 02:25:45 - mmengine - INFO - Epoch(train) [236][460/1879] lr: 1.0000e-04 eta: 3:06:06 time: 0.2929 data_time: 0.0246 memory: 8198 grad_norm: 7.5376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0839 loss: 1.0839 2022/08/04 02:25:51 - mmengine - INFO - Epoch(train) [236][480/1879] lr: 1.0000e-04 eta: 3:06:00 time: 0.2861 data_time: 0.0198 memory: 8198 grad_norm: 7.7264 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9348 loss: 0.9348 2022/08/04 02:25:57 - mmengine - INFO - Epoch(train) [236][500/1879] lr: 1.0000e-04 eta: 3:05:55 time: 0.2947 data_time: 0.0292 memory: 8198 grad_norm: 7.2870 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7597 loss: 0.7597 2022/08/04 02:26:02 - mmengine - INFO - Epoch(train) [236][520/1879] lr: 1.0000e-04 eta: 3:05:49 time: 0.2853 data_time: 0.0190 memory: 8198 grad_norm: 7.2674 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0078 loss: 1.0078 2022/08/04 02:26:08 - mmengine - INFO - Epoch(train) [236][540/1879] lr: 1.0000e-04 eta: 3:05:43 time: 0.2897 data_time: 0.0288 memory: 8198 grad_norm: 7.2964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8123 loss: 0.8123 2022/08/04 02:26:14 - mmengine - INFO - Epoch(train) [236][560/1879] lr: 1.0000e-04 eta: 3:05:37 time: 0.2931 data_time: 0.0190 memory: 8198 grad_norm: 7.4942 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0166 loss: 1.0166 2022/08/04 02:26:20 - mmengine - INFO - Epoch(train) [236][580/1879] lr: 1.0000e-04 eta: 3:05:32 time: 0.2827 data_time: 0.0187 memory: 8198 grad_norm: 7.3744 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/08/04 02:26:26 - mmengine - INFO - Epoch(train) [236][600/1879] lr: 1.0000e-04 eta: 3:05:26 time: 0.2941 data_time: 0.0216 memory: 8198 grad_norm: 7.3418 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8687 loss: 0.8687 2022/08/04 02:26:31 - mmengine - INFO - Epoch(train) [236][620/1879] lr: 1.0000e-04 eta: 3:05:20 time: 0.2893 data_time: 0.0213 memory: 8198 grad_norm: 7.3766 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9943 loss: 0.9943 2022/08/04 02:26:37 - mmengine - INFO - Epoch(train) [236][640/1879] lr: 1.0000e-04 eta: 3:05:14 time: 0.2867 data_time: 0.0202 memory: 8198 grad_norm: 7.2502 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/08/04 02:26:43 - mmengine - INFO - Epoch(train) [236][660/1879] lr: 1.0000e-04 eta: 3:05:09 time: 0.2870 data_time: 0.0198 memory: 8198 grad_norm: 7.3553 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/08/04 02:26:49 - mmengine - INFO - Epoch(train) [236][680/1879] lr: 1.0000e-04 eta: 3:05:03 time: 0.2875 data_time: 0.0219 memory: 8198 grad_norm: 7.3561 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/04 02:26:55 - mmengine - INFO - Epoch(train) [236][700/1879] lr: 1.0000e-04 eta: 3:04:57 time: 0.2864 data_time: 0.0226 memory: 8198 grad_norm: 7.3293 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9280 loss: 0.9280 2022/08/04 02:27:00 - mmengine - INFO - Epoch(train) [236][720/1879] lr: 1.0000e-04 eta: 3:04:52 time: 0.2870 data_time: 0.0243 memory: 8198 grad_norm: 7.6408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8334 loss: 0.8334 2022/08/04 02:27:06 - mmengine - INFO - Epoch(train) [236][740/1879] lr: 1.0000e-04 eta: 3:04:46 time: 0.3031 data_time: 0.0199 memory: 8198 grad_norm: 7.1816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9407 loss: 0.9407 2022/08/04 02:27:12 - mmengine - INFO - Epoch(train) [236][760/1879] lr: 1.0000e-04 eta: 3:04:40 time: 0.2875 data_time: 0.0201 memory: 8198 grad_norm: 7.3844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0308 loss: 1.0308 2022/08/04 02:27:18 - mmengine - INFO - Epoch(train) [236][780/1879] lr: 1.0000e-04 eta: 3:04:34 time: 0.2879 data_time: 0.0228 memory: 8198 grad_norm: 7.2796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9669 loss: 0.9669 2022/08/04 02:27:24 - mmengine - INFO - Epoch(train) [236][800/1879] lr: 1.0000e-04 eta: 3:04:29 time: 0.2929 data_time: 0.0260 memory: 8198 grad_norm: 7.4687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9047 loss: 0.9047 2022/08/04 02:27:30 - mmengine - INFO - Epoch(train) [236][820/1879] lr: 1.0000e-04 eta: 3:04:23 time: 0.2857 data_time: 0.0205 memory: 8198 grad_norm: 7.2410 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9519 loss: 0.9519 2022/08/04 02:27:35 - mmengine - INFO - Epoch(train) [236][840/1879] lr: 1.0000e-04 eta: 3:04:17 time: 0.2839 data_time: 0.0197 memory: 8198 grad_norm: 7.5937 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/08/04 02:27:41 - mmengine - INFO - Epoch(train) [236][860/1879] lr: 1.0000e-04 eta: 3:04:12 time: 0.2890 data_time: 0.0214 memory: 8198 grad_norm: 7.2427 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8033 loss: 0.8033 2022/08/04 02:27:47 - mmengine - INFO - Epoch(train) [236][880/1879] lr: 1.0000e-04 eta: 3:04:06 time: 0.3115 data_time: 0.0198 memory: 8198 grad_norm: 7.3993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/08/04 02:27:53 - mmengine - INFO - Epoch(train) [236][900/1879] lr: 1.0000e-04 eta: 3:04:00 time: 0.2842 data_time: 0.0203 memory: 8198 grad_norm: 7.6199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8727 loss: 0.8727 2022/08/04 02:27:59 - mmengine - INFO - Epoch(train) [236][920/1879] lr: 1.0000e-04 eta: 3:03:54 time: 0.2864 data_time: 0.0204 memory: 8198 grad_norm: 7.4374 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0639 loss: 1.0639 2022/08/04 02:28:05 - mmengine - INFO - Epoch(train) [236][940/1879] lr: 1.0000e-04 eta: 3:03:49 time: 0.2951 data_time: 0.0241 memory: 8198 grad_norm: 7.1571 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8906 loss: 0.8906 2022/08/04 02:28:11 - mmengine - INFO - Epoch(train) [236][960/1879] lr: 1.0000e-04 eta: 3:03:43 time: 0.2874 data_time: 0.0228 memory: 8198 grad_norm: 7.5613 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0121 loss: 1.0121 2022/08/04 02:28:16 - mmengine - INFO - Epoch(train) [236][980/1879] lr: 1.0000e-04 eta: 3:03:37 time: 0.2826 data_time: 0.0189 memory: 8198 grad_norm: 7.2530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8219 loss: 0.8219 2022/08/04 02:28:23 - mmengine - INFO - Epoch(train) [236][1000/1879] lr: 1.0000e-04 eta: 3:03:32 time: 0.3193 data_time: 0.0204 memory: 8198 grad_norm: 7.5446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0504 loss: 1.0504 2022/08/04 02:28:28 - mmengine - INFO - Epoch(train) [236][1020/1879] lr: 1.0000e-04 eta: 3:03:26 time: 0.2811 data_time: 0.0205 memory: 8198 grad_norm: 7.2928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8020 loss: 0.8020 2022/08/04 02:28:34 - mmengine - INFO - Epoch(train) [236][1040/1879] lr: 1.0000e-04 eta: 3:03:20 time: 0.2908 data_time: 0.0245 memory: 8198 grad_norm: 7.4010 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/08/04 02:28:40 - mmengine - INFO - Epoch(train) [236][1060/1879] lr: 1.0000e-04 eta: 3:03:14 time: 0.2871 data_time: 0.0226 memory: 8198 grad_norm: 7.2697 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9733 loss: 0.9733 2022/08/04 02:28:46 - mmengine - INFO - Epoch(train) [236][1080/1879] lr: 1.0000e-04 eta: 3:03:09 time: 0.2919 data_time: 0.0176 memory: 8198 grad_norm: 7.2767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9519 loss: 0.9519 2022/08/04 02:28:52 - mmengine - INFO - Epoch(train) [236][1100/1879] lr: 1.0000e-04 eta: 3:03:03 time: 0.2884 data_time: 0.0245 memory: 8198 grad_norm: 7.4395 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/04 02:28:57 - mmengine - INFO - Epoch(train) [236][1120/1879] lr: 1.0000e-04 eta: 3:02:57 time: 0.2867 data_time: 0.0235 memory: 8198 grad_norm: 7.4587 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0873 loss: 1.0873 2022/08/04 02:29:04 - mmengine - INFO - Epoch(train) [236][1140/1879] lr: 1.0000e-04 eta: 3:02:51 time: 0.3106 data_time: 0.0250 memory: 8198 grad_norm: 7.4857 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8316 loss: 0.8316 2022/08/04 02:29:09 - mmengine - INFO - Epoch(train) [236][1160/1879] lr: 1.0000e-04 eta: 3:02:46 time: 0.2817 data_time: 0.0170 memory: 8198 grad_norm: 7.3913 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0683 loss: 1.0683 2022/08/04 02:29:15 - mmengine - INFO - Epoch(train) [236][1180/1879] lr: 1.0000e-04 eta: 3:02:40 time: 0.2935 data_time: 0.0261 memory: 8198 grad_norm: 7.3072 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9622 loss: 0.9622 2022/08/04 02:29:21 - mmengine - INFO - Epoch(train) [236][1200/1879] lr: 1.0000e-04 eta: 3:02:34 time: 0.2842 data_time: 0.0202 memory: 8198 grad_norm: 7.3886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8033 loss: 0.8033 2022/08/04 02:29:27 - mmengine - INFO - Epoch(train) [236][1220/1879] lr: 1.0000e-04 eta: 3:02:29 time: 0.2880 data_time: 0.0214 memory: 8198 grad_norm: 7.5721 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0306 loss: 1.0306 2022/08/04 02:29:33 - mmengine - INFO - Epoch(train) [236][1240/1879] lr: 1.0000e-04 eta: 3:02:23 time: 0.2915 data_time: 0.0213 memory: 8198 grad_norm: 7.3128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/08/04 02:29:38 - mmengine - INFO - Epoch(train) [236][1260/1879] lr: 1.0000e-04 eta: 3:02:17 time: 0.2855 data_time: 0.0228 memory: 8198 grad_norm: 7.3126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9732 loss: 0.9732 2022/08/04 02:29:44 - mmengine - INFO - Epoch(train) [236][1280/1879] lr: 1.0000e-04 eta: 3:02:11 time: 0.2860 data_time: 0.0218 memory: 8198 grad_norm: 7.2868 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9320 loss: 0.9320 2022/08/04 02:29:50 - mmengine - INFO - Epoch(train) [236][1300/1879] lr: 1.0000e-04 eta: 3:02:06 time: 0.2871 data_time: 0.0259 memory: 8198 grad_norm: 7.4409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1044 loss: 1.1044 2022/08/04 02:29:56 - mmengine - INFO - Epoch(train) [236][1320/1879] lr: 1.0000e-04 eta: 3:02:00 time: 0.3013 data_time: 0.0219 memory: 8198 grad_norm: 7.3817 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/08/04 02:30:02 - mmengine - INFO - Epoch(train) [236][1340/1879] lr: 1.0000e-04 eta: 3:01:54 time: 0.2879 data_time: 0.0221 memory: 8198 grad_norm: 7.5048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0307 loss: 1.0307 2022/08/04 02:30:07 - mmengine - INFO - Epoch(train) [236][1360/1879] lr: 1.0000e-04 eta: 3:01:49 time: 0.2844 data_time: 0.0216 memory: 8198 grad_norm: 7.4092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0576 loss: 1.0576 2022/08/04 02:30:14 - mmengine - INFO - Epoch(train) [236][1380/1879] lr: 1.0000e-04 eta: 3:01:43 time: 0.3161 data_time: 0.0273 memory: 8198 grad_norm: 7.3488 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8616 loss: 0.8616 2022/08/04 02:30:19 - mmengine - INFO - Epoch(train) [236][1400/1879] lr: 1.0000e-04 eta: 3:01:37 time: 0.2847 data_time: 0.0193 memory: 8198 grad_norm: 7.6520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9490 loss: 0.9490 2022/08/04 02:30:25 - mmengine - INFO - Epoch(train) [236][1420/1879] lr: 1.0000e-04 eta: 3:01:31 time: 0.2864 data_time: 0.0214 memory: 8198 grad_norm: 7.3645 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0123 loss: 1.0123 2022/08/04 02:30:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:30:31 - mmengine - INFO - Epoch(train) [236][1440/1879] lr: 1.0000e-04 eta: 3:01:26 time: 0.2886 data_time: 0.0286 memory: 8198 grad_norm: 7.3294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8385 loss: 0.8385 2022/08/04 02:30:37 - mmengine - INFO - Epoch(train) [236][1460/1879] lr: 1.0000e-04 eta: 3:01:20 time: 0.3001 data_time: 0.0225 memory: 8198 grad_norm: 7.5124 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9718 loss: 0.9718 2022/08/04 02:30:43 - mmengine - INFO - Epoch(train) [236][1480/1879] lr: 1.0000e-04 eta: 3:01:14 time: 0.2842 data_time: 0.0212 memory: 8198 grad_norm: 7.1991 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9185 loss: 0.9185 2022/08/04 02:30:48 - mmengine - INFO - Epoch(train) [236][1500/1879] lr: 1.0000e-04 eta: 3:01:09 time: 0.2824 data_time: 0.0212 memory: 8198 grad_norm: 7.2838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9891 loss: 0.9891 2022/08/04 02:30:55 - mmengine - INFO - Epoch(train) [236][1520/1879] lr: 1.0000e-04 eta: 3:01:03 time: 0.3177 data_time: 0.0244 memory: 8198 grad_norm: 7.2099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8785 loss: 0.8785 2022/08/04 02:31:01 - mmengine - INFO - Epoch(train) [236][1540/1879] lr: 1.0000e-04 eta: 3:00:57 time: 0.2866 data_time: 0.0279 memory: 8198 grad_norm: 7.6064 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8979 loss: 0.8979 2022/08/04 02:31:06 - mmengine - INFO - Epoch(train) [236][1560/1879] lr: 1.0000e-04 eta: 3:00:51 time: 0.2821 data_time: 0.0239 memory: 8198 grad_norm: 7.5705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9523 loss: 0.9523 2022/08/04 02:31:12 - mmengine - INFO - Epoch(train) [236][1580/1879] lr: 1.0000e-04 eta: 3:00:46 time: 0.3013 data_time: 0.0231 memory: 8198 grad_norm: 7.4798 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0538 loss: 1.0538 2022/08/04 02:31:18 - mmengine - INFO - Epoch(train) [236][1600/1879] lr: 1.0000e-04 eta: 3:00:40 time: 0.2869 data_time: 0.0204 memory: 8198 grad_norm: 7.3419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9022 loss: 0.9022 2022/08/04 02:31:24 - mmengine - INFO - Epoch(train) [236][1620/1879] lr: 1.0000e-04 eta: 3:00:34 time: 0.2827 data_time: 0.0221 memory: 8198 grad_norm: 7.4135 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0250 loss: 1.0250 2022/08/04 02:31:30 - mmengine - INFO - Epoch(train) [236][1640/1879] lr: 1.0000e-04 eta: 3:00:29 time: 0.2883 data_time: 0.0213 memory: 8198 grad_norm: 7.2572 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/08/04 02:31:36 - mmengine - INFO - Epoch(train) [236][1660/1879] lr: 1.0000e-04 eta: 3:00:23 time: 0.3107 data_time: 0.0238 memory: 8198 grad_norm: 7.2483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7527 loss: 0.7527 2022/08/04 02:31:41 - mmengine - INFO - Epoch(train) [236][1680/1879] lr: 1.0000e-04 eta: 3:00:17 time: 0.2836 data_time: 0.0197 memory: 8198 grad_norm: 7.1310 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/08/04 02:31:47 - mmengine - INFO - Epoch(train) [236][1700/1879] lr: 1.0000e-04 eta: 3:00:11 time: 0.2871 data_time: 0.0227 memory: 8198 grad_norm: 7.4745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0123 loss: 1.0123 2022/08/04 02:31:53 - mmengine - INFO - Epoch(train) [236][1720/1879] lr: 1.0000e-04 eta: 3:00:06 time: 0.2965 data_time: 0.0270 memory: 8198 grad_norm: 7.2691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/08/04 02:31:59 - mmengine - INFO - Epoch(train) [236][1740/1879] lr: 1.0000e-04 eta: 3:00:00 time: 0.2850 data_time: 0.0203 memory: 8198 grad_norm: 7.3047 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8925 loss: 0.8925 2022/08/04 02:32:05 - mmengine - INFO - Epoch(train) [236][1760/1879] lr: 1.0000e-04 eta: 2:59:54 time: 0.2861 data_time: 0.0227 memory: 8198 grad_norm: 7.2982 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0364 loss: 1.0364 2022/08/04 02:32:10 - mmengine - INFO - Epoch(train) [236][1780/1879] lr: 1.0000e-04 eta: 2:59:48 time: 0.2852 data_time: 0.0218 memory: 8198 grad_norm: 7.4957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7826 loss: 0.7826 2022/08/04 02:32:16 - mmengine - INFO - Epoch(train) [236][1800/1879] lr: 1.0000e-04 eta: 2:59:43 time: 0.2932 data_time: 0.0214 memory: 8198 grad_norm: 7.3832 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8365 loss: 0.8365 2022/08/04 02:32:22 - mmengine - INFO - Epoch(train) [236][1820/1879] lr: 1.0000e-04 eta: 2:59:37 time: 0.2865 data_time: 0.0186 memory: 8198 grad_norm: 7.2103 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9700 loss: 0.9700 2022/08/04 02:32:28 - mmengine - INFO - Epoch(train) [236][1840/1879] lr: 1.0000e-04 eta: 2:59:31 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 7.2043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9947 loss: 0.9947 2022/08/04 02:32:34 - mmengine - INFO - Epoch(train) [236][1860/1879] lr: 1.0000e-04 eta: 2:59:26 time: 0.3001 data_time: 0.0261 memory: 8198 grad_norm: 7.4314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9844 loss: 0.9844 2022/08/04 02:32:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:32:39 - mmengine - INFO - Epoch(train) [236][1879/1879] lr: 1.0000e-04 eta: 2:59:26 time: 0.2584 data_time: 0.0170 memory: 8198 grad_norm: 7.6876 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.7875 loss: 0.7875 2022/08/04 02:32:39 - mmengine - INFO - Saving checkpoint at 236 epochs 2022/08/04 02:32:49 - mmengine - INFO - Epoch(train) [237][20/1879] lr: 1.0000e-04 eta: 2:59:14 time: 0.3532 data_time: 0.0942 memory: 8198 grad_norm: 7.5105 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1324 loss: 1.1324 2022/08/04 02:32:55 - mmengine - INFO - Epoch(train) [237][40/1879] lr: 1.0000e-04 eta: 2:59:08 time: 0.3114 data_time: 0.0181 memory: 8198 grad_norm: 7.4405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9880 loss: 0.9880 2022/08/04 02:33:01 - mmengine - INFO - Epoch(train) [237][60/1879] lr: 1.0000e-04 eta: 2:59:03 time: 0.2841 data_time: 0.0199 memory: 8198 grad_norm: 7.4219 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9593 loss: 0.9593 2022/08/04 02:33:07 - mmengine - INFO - Epoch(train) [237][80/1879] lr: 1.0000e-04 eta: 2:58:57 time: 0.2852 data_time: 0.0246 memory: 8198 grad_norm: 7.5962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1054 loss: 1.1054 2022/08/04 02:33:13 - mmengine - INFO - Epoch(train) [237][100/1879] lr: 1.0000e-04 eta: 2:58:51 time: 0.2993 data_time: 0.0234 memory: 8198 grad_norm: 7.4472 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9326 loss: 0.9326 2022/08/04 02:33:18 - mmengine - INFO - Epoch(train) [237][120/1879] lr: 1.0000e-04 eta: 2:58:46 time: 0.2853 data_time: 0.0224 memory: 8198 grad_norm: 7.1363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/08/04 02:33:24 - mmengine - INFO - Epoch(train) [237][140/1879] lr: 1.0000e-04 eta: 2:58:40 time: 0.2900 data_time: 0.0253 memory: 8198 grad_norm: 7.5691 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0081 loss: 1.0081 2022/08/04 02:33:30 - mmengine - INFO - Epoch(train) [237][160/1879] lr: 1.0000e-04 eta: 2:58:34 time: 0.2861 data_time: 0.0236 memory: 8198 grad_norm: 7.7427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8419 loss: 0.8419 2022/08/04 02:33:36 - mmengine - INFO - Epoch(train) [237][180/1879] lr: 1.0000e-04 eta: 2:58:28 time: 0.2927 data_time: 0.0271 memory: 8198 grad_norm: 7.2754 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8965 loss: 0.8965 2022/08/04 02:33:42 - mmengine - INFO - Epoch(train) [237][200/1879] lr: 1.0000e-04 eta: 2:58:23 time: 0.2847 data_time: 0.0216 memory: 8198 grad_norm: 7.2491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8638 loss: 0.8638 2022/08/04 02:33:47 - mmengine - INFO - Epoch(train) [237][220/1879] lr: 1.0000e-04 eta: 2:58:17 time: 0.2875 data_time: 0.0202 memory: 8198 grad_norm: 7.5826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/08/04 02:33:53 - mmengine - INFO - Epoch(train) [237][240/1879] lr: 1.0000e-04 eta: 2:58:11 time: 0.2957 data_time: 0.0263 memory: 8198 grad_norm: 7.3126 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8498 loss: 0.8498 2022/08/04 02:33:59 - mmengine - INFO - Epoch(train) [237][260/1879] lr: 1.0000e-04 eta: 2:58:05 time: 0.2848 data_time: 0.0195 memory: 8198 grad_norm: 7.2681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/08/04 02:34:05 - mmengine - INFO - Epoch(train) [237][280/1879] lr: 1.0000e-04 eta: 2:58:00 time: 0.2851 data_time: 0.0228 memory: 8198 grad_norm: 7.6719 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8269 loss: 0.8269 2022/08/04 02:34:11 - mmengine - INFO - Epoch(train) [237][300/1879] lr: 1.0000e-04 eta: 2:57:54 time: 0.2922 data_time: 0.0282 memory: 8198 grad_norm: 7.4738 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9009 loss: 0.9009 2022/08/04 02:34:16 - mmengine - INFO - Epoch(train) [237][320/1879] lr: 1.0000e-04 eta: 2:57:48 time: 0.2916 data_time: 0.0223 memory: 8198 grad_norm: 7.3245 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8113 loss: 0.8113 2022/08/04 02:34:23 - mmengine - INFO - Epoch(train) [237][340/1879] lr: 1.0000e-04 eta: 2:57:43 time: 0.3075 data_time: 0.0249 memory: 8198 grad_norm: 7.1050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7412 loss: 0.7412 2022/08/04 02:34:28 - mmengine - INFO - Epoch(train) [237][360/1879] lr: 1.0000e-04 eta: 2:57:37 time: 0.2861 data_time: 0.0279 memory: 8198 grad_norm: 7.3289 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9203 loss: 0.9203 2022/08/04 02:34:34 - mmengine - INFO - Epoch(train) [237][380/1879] lr: 1.0000e-04 eta: 2:57:31 time: 0.2909 data_time: 0.0245 memory: 8198 grad_norm: 7.5081 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0222 loss: 1.0222 2022/08/04 02:34:40 - mmengine - INFO - Epoch(train) [237][400/1879] lr: 1.0000e-04 eta: 2:57:25 time: 0.2858 data_time: 0.0245 memory: 8198 grad_norm: 7.4562 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1562 loss: 1.1562 2022/08/04 02:34:46 - mmengine - INFO - Epoch(train) [237][420/1879] lr: 1.0000e-04 eta: 2:57:20 time: 0.2900 data_time: 0.0247 memory: 8198 grad_norm: 7.0748 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8869 loss: 0.8869 2022/08/04 02:34:52 - mmengine - INFO - Epoch(train) [237][440/1879] lr: 1.0000e-04 eta: 2:57:14 time: 0.2855 data_time: 0.0204 memory: 8198 grad_norm: 7.4955 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/08/04 02:34:57 - mmengine - INFO - Epoch(train) [237][460/1879] lr: 1.0000e-04 eta: 2:57:08 time: 0.2937 data_time: 0.0209 memory: 8198 grad_norm: 7.4883 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/08/04 02:35:03 - mmengine - INFO - Epoch(train) [237][480/1879] lr: 1.0000e-04 eta: 2:57:03 time: 0.2944 data_time: 0.0182 memory: 8198 grad_norm: 7.2279 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0321 loss: 1.0321 2022/08/04 02:35:09 - mmengine - INFO - Epoch(train) [237][500/1879] lr: 1.0000e-04 eta: 2:56:57 time: 0.2863 data_time: 0.0244 memory: 8198 grad_norm: 7.3012 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9727 loss: 0.9727 2022/08/04 02:35:15 - mmengine - INFO - Epoch(train) [237][520/1879] lr: 1.0000e-04 eta: 2:56:51 time: 0.2938 data_time: 0.0234 memory: 8198 grad_norm: 7.0905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0122 loss: 1.0122 2022/08/04 02:35:21 - mmengine - INFO - Epoch(train) [237][540/1879] lr: 1.0000e-04 eta: 2:56:45 time: 0.2856 data_time: 0.0222 memory: 8198 grad_norm: 7.2728 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9701 loss: 0.9701 2022/08/04 02:35:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:35:27 - mmengine - INFO - Epoch(train) [237][560/1879] lr: 1.0000e-04 eta: 2:56:40 time: 0.2874 data_time: 0.0194 memory: 8198 grad_norm: 7.3651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9310 loss: 0.9310 2022/08/04 02:35:32 - mmengine - INFO - Epoch(train) [237][580/1879] lr: 1.0000e-04 eta: 2:56:34 time: 0.2843 data_time: 0.0259 memory: 8198 grad_norm: 7.3252 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/08/04 02:35:38 - mmengine - INFO - Epoch(train) [237][600/1879] lr: 1.0000e-04 eta: 2:56:28 time: 0.2899 data_time: 0.0232 memory: 8198 grad_norm: 7.3790 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9239 loss: 0.9239 2022/08/04 02:35:44 - mmengine - INFO - Epoch(train) [237][620/1879] lr: 1.0000e-04 eta: 2:56:22 time: 0.2879 data_time: 0.0229 memory: 8198 grad_norm: 7.3461 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7751 loss: 0.7751 2022/08/04 02:35:50 - mmengine - INFO - Epoch(train) [237][640/1879] lr: 1.0000e-04 eta: 2:56:17 time: 0.2861 data_time: 0.0254 memory: 8198 grad_norm: 7.3609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0130 loss: 1.0130 2022/08/04 02:35:56 - mmengine - INFO - Epoch(train) [237][660/1879] lr: 1.0000e-04 eta: 2:56:11 time: 0.2933 data_time: 0.0189 memory: 8198 grad_norm: 7.6139 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8613 loss: 0.8613 2022/08/04 02:36:01 - mmengine - INFO - Epoch(train) [237][680/1879] lr: 1.0000e-04 eta: 2:56:05 time: 0.2874 data_time: 0.0270 memory: 8198 grad_norm: 7.3851 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9263 loss: 0.9263 2022/08/04 02:36:07 - mmengine - INFO - Epoch(train) [237][700/1879] lr: 1.0000e-04 eta: 2:56:00 time: 0.2877 data_time: 0.0235 memory: 8198 grad_norm: 7.3168 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.0195 loss: 1.0195 2022/08/04 02:36:13 - mmengine - INFO - Epoch(train) [237][720/1879] lr: 1.0000e-04 eta: 2:55:54 time: 0.2887 data_time: 0.0308 memory: 8198 grad_norm: 7.4443 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/08/04 02:36:19 - mmengine - INFO - Epoch(train) [237][740/1879] lr: 1.0000e-04 eta: 2:55:48 time: 0.2863 data_time: 0.0192 memory: 8198 grad_norm: 7.1365 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7362 loss: 0.7362 2022/08/04 02:36:25 - mmengine - INFO - Epoch(train) [237][760/1879] lr: 1.0000e-04 eta: 2:55:42 time: 0.3060 data_time: 0.0236 memory: 8198 grad_norm: 7.2384 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9524 loss: 0.9524 2022/08/04 02:36:31 - mmengine - INFO - Epoch(train) [237][780/1879] lr: 1.0000e-04 eta: 2:55:37 time: 0.2848 data_time: 0.0228 memory: 8198 grad_norm: 7.1819 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0957 loss: 1.0957 2022/08/04 02:36:36 - mmengine - INFO - Epoch(train) [237][800/1879] lr: 1.0000e-04 eta: 2:55:31 time: 0.2905 data_time: 0.0272 memory: 8198 grad_norm: 7.6107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8362 loss: 0.8362 2022/08/04 02:36:42 - mmengine - INFO - Epoch(train) [237][820/1879] lr: 1.0000e-04 eta: 2:55:25 time: 0.2880 data_time: 0.0214 memory: 8198 grad_norm: 7.3458 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0153 loss: 1.0153 2022/08/04 02:36:48 - mmengine - INFO - Epoch(train) [237][840/1879] lr: 1.0000e-04 eta: 2:55:20 time: 0.3105 data_time: 0.0231 memory: 8198 grad_norm: 7.1800 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/04 02:36:54 - mmengine - INFO - Epoch(train) [237][860/1879] lr: 1.0000e-04 eta: 2:55:14 time: 0.2870 data_time: 0.0218 memory: 8198 grad_norm: 7.5910 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0451 loss: 1.0451 2022/08/04 02:37:00 - mmengine - INFO - Epoch(train) [237][880/1879] lr: 1.0000e-04 eta: 2:55:08 time: 0.2860 data_time: 0.0235 memory: 8198 grad_norm: 7.3330 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9252 loss: 0.9252 2022/08/04 02:37:06 - mmengine - INFO - Epoch(train) [237][900/1879] lr: 1.0000e-04 eta: 2:55:02 time: 0.3079 data_time: 0.0193 memory: 8198 grad_norm: 7.3244 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9994 loss: 0.9994 2022/08/04 02:37:12 - mmengine - INFO - Epoch(train) [237][920/1879] lr: 1.0000e-04 eta: 2:54:57 time: 0.2845 data_time: 0.0199 memory: 8198 grad_norm: 7.3378 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0216 loss: 1.0216 2022/08/04 02:37:18 - mmengine - INFO - Epoch(train) [237][940/1879] lr: 1.0000e-04 eta: 2:54:51 time: 0.2894 data_time: 0.0265 memory: 8198 grad_norm: 7.3423 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9161 loss: 0.9161 2022/08/04 02:37:23 - mmengine - INFO - Epoch(train) [237][960/1879] lr: 1.0000e-04 eta: 2:54:45 time: 0.2908 data_time: 0.0246 memory: 8198 grad_norm: 7.4740 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9433 loss: 0.9433 2022/08/04 02:37:29 - mmengine - INFO - Epoch(train) [237][980/1879] lr: 1.0000e-04 eta: 2:54:40 time: 0.2838 data_time: 0.0209 memory: 8198 grad_norm: 7.3625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8717 loss: 0.8717 2022/08/04 02:37:35 - mmengine - INFO - Epoch(train) [237][1000/1879] lr: 1.0000e-04 eta: 2:54:34 time: 0.2897 data_time: 0.0208 memory: 8198 grad_norm: 7.1238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8336 loss: 0.8336 2022/08/04 02:37:41 - mmengine - INFO - Epoch(train) [237][1020/1879] lr: 1.0000e-04 eta: 2:54:28 time: 0.2862 data_time: 0.0279 memory: 8198 grad_norm: 7.4099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/08/04 02:37:47 - mmengine - INFO - Epoch(train) [237][1040/1879] lr: 1.0000e-04 eta: 2:54:22 time: 0.2933 data_time: 0.0202 memory: 8198 grad_norm: 7.5510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/04 02:37:52 - mmengine - INFO - Epoch(train) [237][1060/1879] lr: 1.0000e-04 eta: 2:54:17 time: 0.2816 data_time: 0.0226 memory: 8198 grad_norm: 7.5750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9706 loss: 0.9706 2022/08/04 02:37:58 - mmengine - INFO - Epoch(train) [237][1080/1879] lr: 1.0000e-04 eta: 2:54:11 time: 0.2903 data_time: 0.0274 memory: 8198 grad_norm: 7.2678 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/08/04 02:38:04 - mmengine - INFO - Epoch(train) [237][1100/1879] lr: 1.0000e-04 eta: 2:54:05 time: 0.2945 data_time: 0.0247 memory: 8198 grad_norm: 7.2659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7600 loss: 0.7600 2022/08/04 02:38:10 - mmengine - INFO - Epoch(train) [237][1120/1879] lr: 1.0000e-04 eta: 2:53:59 time: 0.2862 data_time: 0.0214 memory: 8198 grad_norm: 7.2658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/04 02:38:16 - mmengine - INFO - Epoch(train) [237][1140/1879] lr: 1.0000e-04 eta: 2:53:54 time: 0.2902 data_time: 0.0231 memory: 8198 grad_norm: 7.5770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0370 loss: 1.0370 2022/08/04 02:38:21 - mmengine - INFO - Epoch(train) [237][1160/1879] lr: 1.0000e-04 eta: 2:53:48 time: 0.2837 data_time: 0.0210 memory: 8198 grad_norm: 7.0864 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6965 loss: 0.6965 2022/08/04 02:38:27 - mmengine - INFO - Epoch(train) [237][1180/1879] lr: 1.0000e-04 eta: 2:53:42 time: 0.2895 data_time: 0.0284 memory: 8198 grad_norm: 7.3161 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/08/04 02:38:33 - mmengine - INFO - Epoch(train) [237][1200/1879] lr: 1.0000e-04 eta: 2:53:37 time: 0.2931 data_time: 0.0213 memory: 8198 grad_norm: 7.2509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9429 loss: 0.9429 2022/08/04 02:38:39 - mmengine - INFO - Epoch(train) [237][1220/1879] lr: 1.0000e-04 eta: 2:53:31 time: 0.2854 data_time: 0.0185 memory: 8198 grad_norm: 7.6016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0235 loss: 1.0235 2022/08/04 02:38:45 - mmengine - INFO - Epoch(train) [237][1240/1879] lr: 1.0000e-04 eta: 2:53:25 time: 0.2902 data_time: 0.0248 memory: 8198 grad_norm: 7.4607 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9061 loss: 0.9061 2022/08/04 02:38:51 - mmengine - INFO - Epoch(train) [237][1260/1879] lr: 1.0000e-04 eta: 2:53:19 time: 0.2943 data_time: 0.0206 memory: 8198 grad_norm: 7.3811 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9383 loss: 0.9383 2022/08/04 02:38:56 - mmengine - INFO - Epoch(train) [237][1280/1879] lr: 1.0000e-04 eta: 2:53:14 time: 0.2865 data_time: 0.0212 memory: 8198 grad_norm: 7.3955 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8854 loss: 0.8854 2022/08/04 02:39:02 - mmengine - INFO - Epoch(train) [237][1300/1879] lr: 1.0000e-04 eta: 2:53:08 time: 0.2874 data_time: 0.0215 memory: 8198 grad_norm: 7.4084 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7739 loss: 0.7739 2022/08/04 02:39:08 - mmengine - INFO - Epoch(train) [237][1320/1879] lr: 1.0000e-04 eta: 2:53:02 time: 0.2968 data_time: 0.0199 memory: 8198 grad_norm: 7.2271 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/08/04 02:39:14 - mmengine - INFO - Epoch(train) [237][1340/1879] lr: 1.0000e-04 eta: 2:52:57 time: 0.2998 data_time: 0.0189 memory: 8198 grad_norm: 7.5480 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8370 loss: 0.8370 2022/08/04 02:39:20 - mmengine - INFO - Epoch(train) [237][1360/1879] lr: 1.0000e-04 eta: 2:52:51 time: 0.2855 data_time: 0.0230 memory: 8198 grad_norm: 7.3582 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9662 loss: 0.9662 2022/08/04 02:39:26 - mmengine - INFO - Epoch(train) [237][1380/1879] lr: 1.0000e-04 eta: 2:52:45 time: 0.2999 data_time: 0.0209 memory: 8198 grad_norm: 7.2272 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9585 loss: 0.9585 2022/08/04 02:39:32 - mmengine - INFO - Epoch(train) [237][1400/1879] lr: 1.0000e-04 eta: 2:52:39 time: 0.2848 data_time: 0.0185 memory: 8198 grad_norm: 7.3371 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7631 loss: 0.7631 2022/08/04 02:39:37 - mmengine - INFO - Epoch(train) [237][1420/1879] lr: 1.0000e-04 eta: 2:52:34 time: 0.2909 data_time: 0.0264 memory: 8198 grad_norm: 7.5683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0649 loss: 1.0649 2022/08/04 02:39:43 - mmengine - INFO - Epoch(train) [237][1440/1879] lr: 1.0000e-04 eta: 2:52:28 time: 0.2956 data_time: 0.0269 memory: 8198 grad_norm: 7.4779 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0899 loss: 1.0899 2022/08/04 02:39:49 - mmengine - INFO - Epoch(train) [237][1460/1879] lr: 1.0000e-04 eta: 2:52:22 time: 0.2866 data_time: 0.0199 memory: 8198 grad_norm: 7.8431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9700 loss: 0.9700 2022/08/04 02:39:55 - mmengine - INFO - Epoch(train) [237][1480/1879] lr: 1.0000e-04 eta: 2:52:17 time: 0.2900 data_time: 0.0210 memory: 8198 grad_norm: 7.5119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9778 loss: 0.9778 2022/08/04 02:40:01 - mmengine - INFO - Epoch(train) [237][1500/1879] lr: 1.0000e-04 eta: 2:52:11 time: 0.2894 data_time: 0.0177 memory: 8198 grad_norm: 7.1191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/08/04 02:40:07 - mmengine - INFO - Epoch(train) [237][1520/1879] lr: 1.0000e-04 eta: 2:52:05 time: 0.2880 data_time: 0.0252 memory: 8198 grad_norm: 7.5797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9130 loss: 0.9130 2022/08/04 02:40:12 - mmengine - INFO - Epoch(train) [237][1540/1879] lr: 1.0000e-04 eta: 2:51:59 time: 0.2873 data_time: 0.0200 memory: 8198 grad_norm: 7.4473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9320 loss: 0.9320 2022/08/04 02:40:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:40:18 - mmengine - INFO - Epoch(train) [237][1560/1879] lr: 1.0000e-04 eta: 2:51:54 time: 0.2881 data_time: 0.0175 memory: 8198 grad_norm: 6.9450 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9383 loss: 0.9383 2022/08/04 02:40:24 - mmengine - INFO - Epoch(train) [237][1580/1879] lr: 1.0000e-04 eta: 2:51:48 time: 0.2910 data_time: 0.0205 memory: 8198 grad_norm: 7.7046 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8982 loss: 0.8982 2022/08/04 02:40:30 - mmengine - INFO - Epoch(train) [237][1600/1879] lr: 1.0000e-04 eta: 2:51:42 time: 0.2857 data_time: 0.0228 memory: 8198 grad_norm: 7.4574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8352 loss: 0.8352 2022/08/04 02:40:36 - mmengine - INFO - Epoch(train) [237][1620/1879] lr: 1.0000e-04 eta: 2:51:36 time: 0.2862 data_time: 0.0228 memory: 8198 grad_norm: 7.4369 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9293 loss: 0.9293 2022/08/04 02:40:41 - mmengine - INFO - Epoch(train) [237][1640/1879] lr: 1.0000e-04 eta: 2:51:31 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 7.3014 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9070 loss: 0.9070 2022/08/04 02:40:47 - mmengine - INFO - Epoch(train) [237][1660/1879] lr: 1.0000e-04 eta: 2:51:25 time: 0.2891 data_time: 0.0211 memory: 8198 grad_norm: 7.6386 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0686 loss: 1.0686 2022/08/04 02:40:53 - mmengine - INFO - Epoch(train) [237][1680/1879] lr: 1.0000e-04 eta: 2:51:19 time: 0.2869 data_time: 0.0256 memory: 8198 grad_norm: 7.7063 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0597 loss: 1.0597 2022/08/04 02:40:59 - mmengine - INFO - Epoch(train) [237][1700/1879] lr: 1.0000e-04 eta: 2:51:14 time: 0.2849 data_time: 0.0196 memory: 8198 grad_norm: 7.4099 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9429 loss: 0.9429 2022/08/04 02:41:04 - mmengine - INFO - Epoch(train) [237][1720/1879] lr: 1.0000e-04 eta: 2:51:08 time: 0.2882 data_time: 0.0238 memory: 8198 grad_norm: 7.0702 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/08/04 02:41:10 - mmengine - INFO - Epoch(train) [237][1740/1879] lr: 1.0000e-04 eta: 2:51:02 time: 0.2890 data_time: 0.0279 memory: 8198 grad_norm: 7.2449 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9215 loss: 0.9215 2022/08/04 02:41:16 - mmengine - INFO - Epoch(train) [237][1760/1879] lr: 1.0000e-04 eta: 2:50:56 time: 0.2864 data_time: 0.0223 memory: 8198 grad_norm: 7.1913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7953 loss: 0.7953 2022/08/04 02:41:22 - mmengine - INFO - Epoch(train) [237][1780/1879] lr: 1.0000e-04 eta: 2:50:51 time: 0.2916 data_time: 0.0231 memory: 8198 grad_norm: 7.3064 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8995 loss: 0.8995 2022/08/04 02:41:28 - mmengine - INFO - Epoch(train) [237][1800/1879] lr: 1.0000e-04 eta: 2:50:45 time: 0.2843 data_time: 0.0262 memory: 8198 grad_norm: 7.2877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9381 loss: 0.9381 2022/08/04 02:41:33 - mmengine - INFO - Epoch(train) [237][1820/1879] lr: 1.0000e-04 eta: 2:50:39 time: 0.2924 data_time: 0.0193 memory: 8198 grad_norm: 7.2730 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0644 loss: 1.0644 2022/08/04 02:41:39 - mmengine - INFO - Epoch(train) [237][1840/1879] lr: 1.0000e-04 eta: 2:50:33 time: 0.2846 data_time: 0.0226 memory: 8198 grad_norm: 7.1559 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8332 loss: 0.8332 2022/08/04 02:41:45 - mmengine - INFO - Epoch(train) [237][1860/1879] lr: 1.0000e-04 eta: 2:50:28 time: 0.2912 data_time: 0.0230 memory: 8198 grad_norm: 7.3663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7639 loss: 0.7639 2022/08/04 02:41:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:41:50 - mmengine - INFO - Epoch(train) [237][1879/1879] lr: 1.0000e-04 eta: 2:50:28 time: 0.2576 data_time: 0.0167 memory: 8198 grad_norm: 7.4576 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9449 loss: 0.9449 2022/08/04 02:41:58 - mmengine - INFO - Epoch(train) [238][20/1879] lr: 1.0000e-04 eta: 2:50:16 time: 0.4133 data_time: 0.1140 memory: 8198 grad_norm: 7.2634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9332 loss: 0.9332 2022/08/04 02:42:04 - mmengine - INFO - Epoch(train) [238][40/1879] lr: 1.0000e-04 eta: 2:50:11 time: 0.2960 data_time: 0.0201 memory: 8198 grad_norm: 7.3729 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9327 loss: 0.9327 2022/08/04 02:42:10 - mmengine - INFO - Epoch(train) [238][60/1879] lr: 1.0000e-04 eta: 2:50:05 time: 0.2901 data_time: 0.0210 memory: 8198 grad_norm: 7.2111 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9659 loss: 0.9659 2022/08/04 02:42:16 - mmengine - INFO - Epoch(train) [238][80/1879] lr: 1.0000e-04 eta: 2:49:59 time: 0.2932 data_time: 0.0233 memory: 8198 grad_norm: 7.3572 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9782 loss: 0.9782 2022/08/04 02:42:22 - mmengine - INFO - Epoch(train) [238][100/1879] lr: 1.0000e-04 eta: 2:49:53 time: 0.2848 data_time: 0.0224 memory: 8198 grad_norm: 7.4853 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9730 loss: 0.9730 2022/08/04 02:42:28 - mmengine - INFO - Epoch(train) [238][120/1879] lr: 1.0000e-04 eta: 2:49:48 time: 0.2919 data_time: 0.0218 memory: 8198 grad_norm: 7.2690 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9577 loss: 0.9577 2022/08/04 02:42:34 - mmengine - INFO - Epoch(train) [238][140/1879] lr: 1.0000e-04 eta: 2:49:42 time: 0.3053 data_time: 0.0262 memory: 8198 grad_norm: 7.3668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0942 loss: 1.0942 2022/08/04 02:42:39 - mmengine - INFO - Epoch(train) [238][160/1879] lr: 1.0000e-04 eta: 2:49:36 time: 0.2798 data_time: 0.0212 memory: 8198 grad_norm: 7.2699 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9952 loss: 0.9952 2022/08/04 02:42:49 - mmengine - INFO - Epoch(train) [238][180/1879] lr: 1.0000e-04 eta: 2:49:31 time: 0.4605 data_time: 0.1933 memory: 8198 grad_norm: 7.3955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/08/04 02:42:54 - mmengine - INFO - Epoch(train) [238][200/1879] lr: 1.0000e-04 eta: 2:49:25 time: 0.2844 data_time: 0.0127 memory: 8198 grad_norm: 7.0532 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9757 loss: 0.9757 2022/08/04 02:43:00 - mmengine - INFO - Epoch(train) [238][220/1879] lr: 1.0000e-04 eta: 2:49:19 time: 0.2862 data_time: 0.0255 memory: 8198 grad_norm: 7.1844 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/04 02:43:06 - mmengine - INFO - Epoch(train) [238][240/1879] lr: 1.0000e-04 eta: 2:49:14 time: 0.2909 data_time: 0.0207 memory: 8198 grad_norm: 7.3346 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0239 loss: 1.0239 2022/08/04 02:43:12 - mmengine - INFO - Epoch(train) [238][260/1879] lr: 1.0000e-04 eta: 2:49:08 time: 0.2862 data_time: 0.0197 memory: 8198 grad_norm: 7.5832 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0749 loss: 1.0749 2022/08/04 02:43:18 - mmengine - INFO - Epoch(train) [238][280/1879] lr: 1.0000e-04 eta: 2:49:02 time: 0.2951 data_time: 0.0238 memory: 8198 grad_norm: 7.3851 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9615 loss: 0.9615 2022/08/04 02:43:23 - mmengine - INFO - Epoch(train) [238][300/1879] lr: 1.0000e-04 eta: 2:48:57 time: 0.2850 data_time: 0.0249 memory: 8198 grad_norm: 7.2987 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9981 loss: 0.9981 2022/08/04 02:43:29 - mmengine - INFO - Epoch(train) [238][320/1879] lr: 1.0000e-04 eta: 2:48:51 time: 0.2854 data_time: 0.0207 memory: 8198 grad_norm: 7.3808 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8726 loss: 0.8726 2022/08/04 02:43:35 - mmengine - INFO - Epoch(train) [238][340/1879] lr: 1.0000e-04 eta: 2:48:45 time: 0.2919 data_time: 0.0180 memory: 8198 grad_norm: 7.5658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9586 loss: 0.9586 2022/08/04 02:43:41 - mmengine - INFO - Epoch(train) [238][360/1879] lr: 1.0000e-04 eta: 2:48:39 time: 0.2851 data_time: 0.0219 memory: 8198 grad_norm: 7.4371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9502 loss: 0.9502 2022/08/04 02:43:46 - mmengine - INFO - Epoch(train) [238][380/1879] lr: 1.0000e-04 eta: 2:48:34 time: 0.2910 data_time: 0.0219 memory: 8198 grad_norm: 7.3202 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/08/04 02:43:52 - mmengine - INFO - Epoch(train) [238][400/1879] lr: 1.0000e-04 eta: 2:48:28 time: 0.2881 data_time: 0.0246 memory: 8198 grad_norm: 7.5155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/04 02:43:58 - mmengine - INFO - Epoch(train) [238][420/1879] lr: 1.0000e-04 eta: 2:48:22 time: 0.2902 data_time: 0.0228 memory: 8198 grad_norm: 7.4931 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6997 loss: 0.6997 2022/08/04 02:44:04 - mmengine - INFO - Epoch(train) [238][440/1879] lr: 1.0000e-04 eta: 2:48:16 time: 0.2862 data_time: 0.0230 memory: 8198 grad_norm: 7.2561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8192 loss: 0.8192 2022/08/04 02:44:10 - mmengine - INFO - Epoch(train) [238][460/1879] lr: 1.0000e-04 eta: 2:48:11 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 7.2779 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8265 loss: 0.8265 2022/08/04 02:44:15 - mmengine - INFO - Epoch(train) [238][480/1879] lr: 1.0000e-04 eta: 2:48:05 time: 0.2897 data_time: 0.0215 memory: 8198 grad_norm: 7.4993 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9400 loss: 0.9400 2022/08/04 02:44:21 - mmengine - INFO - Epoch(train) [238][500/1879] lr: 1.0000e-04 eta: 2:47:59 time: 0.2858 data_time: 0.0238 memory: 8198 grad_norm: 7.2873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/08/04 02:44:27 - mmengine - INFO - Epoch(train) [238][520/1879] lr: 1.0000e-04 eta: 2:47:54 time: 0.3023 data_time: 0.0185 memory: 8198 grad_norm: 7.1326 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9797 loss: 0.9797 2022/08/04 02:44:33 - mmengine - INFO - Epoch(train) [238][540/1879] lr: 1.0000e-04 eta: 2:47:48 time: 0.2861 data_time: 0.0210 memory: 8198 grad_norm: 7.2140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8387 loss: 0.8387 2022/08/04 02:44:39 - mmengine - INFO - Epoch(train) [238][560/1879] lr: 1.0000e-04 eta: 2:47:42 time: 0.2884 data_time: 0.0227 memory: 8198 grad_norm: 7.6574 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0441 loss: 1.0441 2022/08/04 02:44:45 - mmengine - INFO - Epoch(train) [238][580/1879] lr: 1.0000e-04 eta: 2:47:36 time: 0.2920 data_time: 0.0185 memory: 8198 grad_norm: 7.6424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/08/04 02:44:50 - mmengine - INFO - Epoch(train) [238][600/1879] lr: 1.0000e-04 eta: 2:47:31 time: 0.2860 data_time: 0.0224 memory: 8198 grad_norm: 7.1660 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9012 loss: 0.9012 2022/08/04 02:44:56 - mmengine - INFO - Epoch(train) [238][620/1879] lr: 1.0000e-04 eta: 2:47:25 time: 0.2850 data_time: 0.0242 memory: 8198 grad_norm: 6.9764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9424 loss: 0.9424 2022/08/04 02:45:02 - mmengine - INFO - Epoch(train) [238][640/1879] lr: 1.0000e-04 eta: 2:47:19 time: 0.2844 data_time: 0.0217 memory: 8198 grad_norm: 7.4269 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9315 loss: 0.9315 2022/08/04 02:45:08 - mmengine - INFO - Epoch(train) [238][660/1879] lr: 1.0000e-04 eta: 2:47:14 time: 0.2990 data_time: 0.0241 memory: 8198 grad_norm: 7.3399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8423 loss: 0.8423 2022/08/04 02:45:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:45:14 - mmengine - INFO - Epoch(train) [238][680/1879] lr: 1.0000e-04 eta: 2:47:08 time: 0.2865 data_time: 0.0208 memory: 8198 grad_norm: 7.5444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0163 loss: 1.0163 2022/08/04 02:45:19 - mmengine - INFO - Epoch(train) [238][700/1879] lr: 1.0000e-04 eta: 2:47:02 time: 0.2861 data_time: 0.0227 memory: 8198 grad_norm: 7.2602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9211 loss: 0.9211 2022/08/04 02:45:25 - mmengine - INFO - Epoch(train) [238][720/1879] lr: 1.0000e-04 eta: 2:46:56 time: 0.2984 data_time: 0.0212 memory: 8198 grad_norm: 7.3180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0637 loss: 1.0637 2022/08/04 02:45:31 - mmengine - INFO - Epoch(train) [238][740/1879] lr: 1.0000e-04 eta: 2:46:51 time: 0.2861 data_time: 0.0201 memory: 8198 grad_norm: 7.1257 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8503 loss: 0.8503 2022/08/04 02:45:37 - mmengine - INFO - Epoch(train) [238][760/1879] lr: 1.0000e-04 eta: 2:46:45 time: 0.2852 data_time: 0.0210 memory: 8198 grad_norm: 7.5731 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/08/04 02:45:43 - mmengine - INFO - Epoch(train) [238][780/1879] lr: 1.0000e-04 eta: 2:46:39 time: 0.2842 data_time: 0.0214 memory: 8198 grad_norm: 7.3217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9336 loss: 0.9336 2022/08/04 02:45:48 - mmengine - INFO - Epoch(train) [238][800/1879] lr: 1.0000e-04 eta: 2:46:33 time: 0.2918 data_time: 0.0225 memory: 8198 grad_norm: 7.2950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8703 loss: 0.8703 2022/08/04 02:45:54 - mmengine - INFO - Epoch(train) [238][820/1879] lr: 1.0000e-04 eta: 2:46:28 time: 0.3005 data_time: 0.0220 memory: 8198 grad_norm: 7.6360 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9049 loss: 0.9049 2022/08/04 02:46:00 - mmengine - INFO - Epoch(train) [238][840/1879] lr: 1.0000e-04 eta: 2:46:22 time: 0.2833 data_time: 0.0187 memory: 8198 grad_norm: 7.2618 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0553 loss: 1.0553 2022/08/04 02:46:06 - mmengine - INFO - Epoch(train) [238][860/1879] lr: 1.0000e-04 eta: 2:46:16 time: 0.2871 data_time: 0.0204 memory: 8198 grad_norm: 7.3073 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9016 loss: 0.9016 2022/08/04 02:46:12 - mmengine - INFO - Epoch(train) [238][880/1879] lr: 1.0000e-04 eta: 2:46:11 time: 0.2897 data_time: 0.0285 memory: 8198 grad_norm: 7.4316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0264 loss: 1.0264 2022/08/04 02:46:17 - mmengine - INFO - Epoch(train) [238][900/1879] lr: 1.0000e-04 eta: 2:46:05 time: 0.2851 data_time: 0.0292 memory: 8198 grad_norm: 7.2858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8206 loss: 0.8206 2022/08/04 02:46:23 - mmengine - INFO - Epoch(train) [238][920/1879] lr: 1.0000e-04 eta: 2:45:59 time: 0.2852 data_time: 0.0236 memory: 8198 grad_norm: 7.3506 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9865 loss: 0.9865 2022/08/04 02:46:29 - mmengine - INFO - Epoch(train) [238][940/1879] lr: 1.0000e-04 eta: 2:45:53 time: 0.2853 data_time: 0.0218 memory: 8198 grad_norm: 7.3757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9575 loss: 0.9575 2022/08/04 02:46:35 - mmengine - INFO - Epoch(train) [238][960/1879] lr: 1.0000e-04 eta: 2:45:48 time: 0.2903 data_time: 0.0294 memory: 8198 grad_norm: 7.4286 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9155 loss: 0.9155 2022/08/04 02:46:41 - mmengine - INFO - Epoch(train) [238][980/1879] lr: 1.0000e-04 eta: 2:45:42 time: 0.2895 data_time: 0.0266 memory: 8198 grad_norm: 7.3248 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8212 loss: 0.8212 2022/08/04 02:46:46 - mmengine - INFO - Epoch(train) [238][1000/1879] lr: 1.0000e-04 eta: 2:45:36 time: 0.2874 data_time: 0.0236 memory: 8198 grad_norm: 7.5222 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9717 loss: 0.9717 2022/08/04 02:46:52 - mmengine - INFO - Epoch(train) [238][1020/1879] lr: 1.0000e-04 eta: 2:45:30 time: 0.2867 data_time: 0.0214 memory: 8198 grad_norm: 7.4213 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/04 02:46:58 - mmengine - INFO - Epoch(train) [238][1040/1879] lr: 1.0000e-04 eta: 2:45:25 time: 0.2872 data_time: 0.0254 memory: 8198 grad_norm: 7.4792 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0488 loss: 1.0488 2022/08/04 02:47:04 - mmengine - INFO - Epoch(train) [238][1060/1879] lr: 1.0000e-04 eta: 2:45:19 time: 0.2914 data_time: 0.0223 memory: 8198 grad_norm: 7.4895 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0717 loss: 1.0717 2022/08/04 02:47:10 - mmengine - INFO - Epoch(train) [238][1080/1879] lr: 1.0000e-04 eta: 2:45:13 time: 0.2878 data_time: 0.0243 memory: 8198 grad_norm: 7.1689 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9387 loss: 0.9387 2022/08/04 02:47:15 - mmengine - INFO - Epoch(train) [238][1100/1879] lr: 1.0000e-04 eta: 2:45:08 time: 0.2889 data_time: 0.0203 memory: 8198 grad_norm: 7.5508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8236 loss: 0.8236 2022/08/04 02:47:21 - mmengine - INFO - Epoch(train) [238][1120/1879] lr: 1.0000e-04 eta: 2:45:02 time: 0.2861 data_time: 0.0216 memory: 8198 grad_norm: 7.2828 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9849 loss: 0.9849 2022/08/04 02:47:27 - mmengine - INFO - Epoch(train) [238][1140/1879] lr: 1.0000e-04 eta: 2:44:56 time: 0.2905 data_time: 0.0210 memory: 8198 grad_norm: 7.5941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9255 loss: 0.9255 2022/08/04 02:47:33 - mmengine - INFO - Epoch(train) [238][1160/1879] lr: 1.0000e-04 eta: 2:44:50 time: 0.2862 data_time: 0.0246 memory: 8198 grad_norm: 7.3026 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9326 loss: 0.9326 2022/08/04 02:47:39 - mmengine - INFO - Epoch(train) [238][1180/1879] lr: 1.0000e-04 eta: 2:44:45 time: 0.2957 data_time: 0.0205 memory: 8198 grad_norm: 7.3745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0759 loss: 1.0759 2022/08/04 02:47:45 - mmengine - INFO - Epoch(train) [238][1200/1879] lr: 1.0000e-04 eta: 2:44:39 time: 0.2943 data_time: 0.0270 memory: 8198 grad_norm: 7.3559 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/08/04 02:47:50 - mmengine - INFO - Epoch(train) [238][1220/1879] lr: 1.0000e-04 eta: 2:44:33 time: 0.2855 data_time: 0.0215 memory: 8198 grad_norm: 7.2598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9443 loss: 0.9443 2022/08/04 02:47:56 - mmengine - INFO - Epoch(train) [238][1240/1879] lr: 1.0000e-04 eta: 2:44:28 time: 0.2917 data_time: 0.0245 memory: 8198 grad_norm: 7.3731 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8767 loss: 0.8767 2022/08/04 02:48:02 - mmengine - INFO - Epoch(train) [238][1260/1879] lr: 1.0000e-04 eta: 2:44:22 time: 0.2874 data_time: 0.0244 memory: 8198 grad_norm: 7.3114 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/04 02:48:08 - mmengine - INFO - Epoch(train) [238][1280/1879] lr: 1.0000e-04 eta: 2:44:16 time: 0.2888 data_time: 0.0227 memory: 8198 grad_norm: 7.6100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2499 loss: 1.2499 2022/08/04 02:48:14 - mmengine - INFO - Epoch(train) [238][1300/1879] lr: 1.0000e-04 eta: 2:44:10 time: 0.2902 data_time: 0.0226 memory: 8198 grad_norm: 7.2818 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9445 loss: 0.9445 2022/08/04 02:48:20 - mmengine - INFO - Epoch(train) [238][1320/1879] lr: 1.0000e-04 eta: 2:44:05 time: 0.2967 data_time: 0.0179 memory: 8198 grad_norm: 7.5473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0029 loss: 1.0029 2022/08/04 02:48:26 - mmengine - INFO - Epoch(train) [238][1340/1879] lr: 1.0000e-04 eta: 2:43:59 time: 0.2948 data_time: 0.0239 memory: 8198 grad_norm: 7.5941 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9369 loss: 0.9369 2022/08/04 02:48:31 - mmengine - INFO - Epoch(train) [238][1360/1879] lr: 1.0000e-04 eta: 2:43:53 time: 0.2856 data_time: 0.0211 memory: 8198 grad_norm: 7.1904 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9664 loss: 0.9664 2022/08/04 02:48:37 - mmengine - INFO - Epoch(train) [238][1380/1879] lr: 1.0000e-04 eta: 2:43:48 time: 0.2976 data_time: 0.0247 memory: 8198 grad_norm: 7.2896 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8118 loss: 0.8118 2022/08/04 02:48:43 - mmengine - INFO - Epoch(train) [238][1400/1879] lr: 1.0000e-04 eta: 2:43:42 time: 0.2862 data_time: 0.0235 memory: 8198 grad_norm: 7.2990 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9519 loss: 0.9519 2022/08/04 02:48:49 - mmengine - INFO - Epoch(train) [238][1420/1879] lr: 1.0000e-04 eta: 2:43:36 time: 0.2927 data_time: 0.0246 memory: 8198 grad_norm: 7.2871 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9155 loss: 0.9155 2022/08/04 02:48:55 - mmengine - INFO - Epoch(train) [238][1440/1879] lr: 1.0000e-04 eta: 2:43:30 time: 0.2903 data_time: 0.0289 memory: 8198 grad_norm: 7.2906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8429 loss: 0.8429 2022/08/04 02:49:00 - mmengine - INFO - Epoch(train) [238][1460/1879] lr: 1.0000e-04 eta: 2:43:25 time: 0.2868 data_time: 0.0283 memory: 8198 grad_norm: 7.1276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/08/04 02:49:07 - mmengine - INFO - Epoch(train) [238][1480/1879] lr: 1.0000e-04 eta: 2:43:19 time: 0.3047 data_time: 0.0348 memory: 8198 grad_norm: 7.3851 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8244 loss: 0.8244 2022/08/04 02:49:12 - mmengine - INFO - Epoch(train) [238][1500/1879] lr: 1.0000e-04 eta: 2:43:13 time: 0.2835 data_time: 0.0239 memory: 8198 grad_norm: 7.2600 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7837 loss: 0.7837 2022/08/04 02:49:18 - mmengine - INFO - Epoch(train) [238][1520/1879] lr: 1.0000e-04 eta: 2:43:07 time: 0.2911 data_time: 0.0210 memory: 8198 grad_norm: 7.5000 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9033 loss: 0.9033 2022/08/04 02:49:24 - mmengine - INFO - Epoch(train) [238][1540/1879] lr: 1.0000e-04 eta: 2:43:02 time: 0.2867 data_time: 0.0214 memory: 8198 grad_norm: 7.4372 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 0.9937 loss: 0.9937 2022/08/04 02:49:30 - mmengine - INFO - Epoch(train) [238][1560/1879] lr: 1.0000e-04 eta: 2:42:56 time: 0.2857 data_time: 0.0269 memory: 8198 grad_norm: 7.3122 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9262 loss: 0.9262 2022/08/04 02:49:36 - mmengine - INFO - Epoch(train) [238][1580/1879] lr: 1.0000e-04 eta: 2:42:50 time: 0.3062 data_time: 0.0265 memory: 8198 grad_norm: 7.1174 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8764 loss: 0.8764 2022/08/04 02:49:42 - mmengine - INFO - Epoch(train) [238][1600/1879] lr: 1.0000e-04 eta: 2:42:45 time: 0.2860 data_time: 0.0246 memory: 8198 grad_norm: 7.4621 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1212 loss: 1.1212 2022/08/04 02:49:47 - mmengine - INFO - Epoch(train) [238][1620/1879] lr: 1.0000e-04 eta: 2:42:39 time: 0.2817 data_time: 0.0207 memory: 8198 grad_norm: 7.3596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/08/04 02:49:53 - mmengine - INFO - Epoch(train) [238][1640/1879] lr: 1.0000e-04 eta: 2:42:33 time: 0.2845 data_time: 0.0193 memory: 8198 grad_norm: 7.4595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9735 loss: 0.9735 2022/08/04 02:49:59 - mmengine - INFO - Epoch(train) [238][1660/1879] lr: 1.0000e-04 eta: 2:42:27 time: 0.2936 data_time: 0.0240 memory: 8198 grad_norm: 7.4742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/04 02:50:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:50:05 - mmengine - INFO - Epoch(train) [238][1680/1879] lr: 1.0000e-04 eta: 2:42:22 time: 0.2873 data_time: 0.0266 memory: 8198 grad_norm: 7.6993 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7722 loss: 0.7722 2022/08/04 02:50:10 - mmengine - INFO - Epoch(train) [238][1700/1879] lr: 1.0000e-04 eta: 2:42:16 time: 0.2856 data_time: 0.0225 memory: 8198 grad_norm: 7.2451 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8869 loss: 0.8869 2022/08/04 02:50:16 - mmengine - INFO - Epoch(train) [238][1720/1879] lr: 1.0000e-04 eta: 2:42:10 time: 0.2962 data_time: 0.0225 memory: 8198 grad_norm: 7.5322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9555 loss: 0.9555 2022/08/04 02:50:22 - mmengine - INFO - Epoch(train) [238][1740/1879] lr: 1.0000e-04 eta: 2:42:05 time: 0.2850 data_time: 0.0223 memory: 8198 grad_norm: 7.2321 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/08/04 02:50:28 - mmengine - INFO - Epoch(train) [238][1760/1879] lr: 1.0000e-04 eta: 2:41:59 time: 0.2923 data_time: 0.0187 memory: 8198 grad_norm: 7.5396 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9841 loss: 0.9841 2022/08/04 02:50:34 - mmengine - INFO - Epoch(train) [238][1780/1879] lr: 1.0000e-04 eta: 2:41:53 time: 0.2857 data_time: 0.0207 memory: 8198 grad_norm: 7.6224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0098 loss: 1.0098 2022/08/04 02:50:40 - mmengine - INFO - Epoch(train) [238][1800/1879] lr: 1.0000e-04 eta: 2:41:47 time: 0.2922 data_time: 0.0211 memory: 8198 grad_norm: 7.3415 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9984 loss: 0.9984 2022/08/04 02:50:45 - mmengine - INFO - Epoch(train) [238][1820/1879] lr: 1.0000e-04 eta: 2:41:42 time: 0.2857 data_time: 0.0205 memory: 8198 grad_norm: 7.5302 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/08/04 02:50:51 - mmengine - INFO - Epoch(train) [238][1840/1879] lr: 1.0000e-04 eta: 2:41:36 time: 0.2833 data_time: 0.0185 memory: 8198 grad_norm: 7.5271 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0260 loss: 1.0260 2022/08/04 02:50:57 - mmengine - INFO - Epoch(train) [238][1860/1879] lr: 1.0000e-04 eta: 2:41:30 time: 0.2925 data_time: 0.0223 memory: 8198 grad_norm: 7.4316 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8249 loss: 0.8249 2022/08/04 02:51:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:51:02 - mmengine - INFO - Epoch(train) [238][1879/1879] lr: 1.0000e-04 eta: 2:41:30 time: 0.2585 data_time: 0.0169 memory: 8198 grad_norm: 7.5085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/08/04 02:51:10 - mmengine - INFO - Epoch(train) [239][20/1879] lr: 1.0000e-04 eta: 2:41:19 time: 0.4054 data_time: 0.1323 memory: 8198 grad_norm: 7.6074 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/04 02:51:16 - mmengine - INFO - Epoch(train) [239][40/1879] lr: 1.0000e-04 eta: 2:41:13 time: 0.2977 data_time: 0.0198 memory: 8198 grad_norm: 7.2488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8993 loss: 0.8993 2022/08/04 02:51:22 - mmengine - INFO - Epoch(train) [239][60/1879] lr: 1.0000e-04 eta: 2:41:07 time: 0.2852 data_time: 0.0214 memory: 8198 grad_norm: 7.4237 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7754 loss: 0.7754 2022/08/04 02:51:28 - mmengine - INFO - Epoch(train) [239][80/1879] lr: 1.0000e-04 eta: 2:41:02 time: 0.2920 data_time: 0.0250 memory: 8198 grad_norm: 7.2009 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8725 loss: 0.8725 2022/08/04 02:51:33 - mmengine - INFO - Epoch(train) [239][100/1879] lr: 1.0000e-04 eta: 2:40:56 time: 0.2841 data_time: 0.0196 memory: 8198 grad_norm: 7.3647 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9154 loss: 0.9154 2022/08/04 02:51:40 - mmengine - INFO - Epoch(train) [239][120/1879] lr: 1.0000e-04 eta: 2:40:50 time: 0.3133 data_time: 0.0205 memory: 8198 grad_norm: 7.4210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9566 loss: 0.9566 2022/08/04 02:51:45 - mmengine - INFO - Epoch(train) [239][140/1879] lr: 1.0000e-04 eta: 2:40:44 time: 0.2841 data_time: 0.0249 memory: 8198 grad_norm: 7.2293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8406 loss: 0.8406 2022/08/04 02:51:51 - mmengine - INFO - Epoch(train) [239][160/1879] lr: 1.0000e-04 eta: 2:40:39 time: 0.2893 data_time: 0.0266 memory: 8198 grad_norm: 7.3480 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9914 loss: 0.9914 2022/08/04 02:51:57 - mmengine - INFO - Epoch(train) [239][180/1879] lr: 1.0000e-04 eta: 2:40:33 time: 0.2976 data_time: 0.0242 memory: 8198 grad_norm: 7.3641 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9718 loss: 0.9718 2022/08/04 02:52:03 - mmengine - INFO - Epoch(train) [239][200/1879] lr: 1.0000e-04 eta: 2:40:27 time: 0.2871 data_time: 0.0241 memory: 8198 grad_norm: 7.2932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9213 loss: 0.9213 2022/08/04 02:52:09 - mmengine - INFO - Epoch(train) [239][220/1879] lr: 1.0000e-04 eta: 2:40:22 time: 0.2842 data_time: 0.0234 memory: 8198 grad_norm: 7.3789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9456 loss: 0.9456 2022/08/04 02:52:14 - mmengine - INFO - Epoch(train) [239][240/1879] lr: 1.0000e-04 eta: 2:40:16 time: 0.2928 data_time: 0.0261 memory: 8198 grad_norm: 7.4526 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9786 loss: 0.9786 2022/08/04 02:52:20 - mmengine - INFO - Epoch(train) [239][260/1879] lr: 1.0000e-04 eta: 2:40:10 time: 0.2837 data_time: 0.0199 memory: 8198 grad_norm: 7.4784 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/04 02:52:26 - mmengine - INFO - Epoch(train) [239][280/1879] lr: 1.0000e-04 eta: 2:40:04 time: 0.2865 data_time: 0.0243 memory: 8198 grad_norm: 7.4855 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9806 loss: 0.9806 2022/08/04 02:52:32 - mmengine - INFO - Epoch(train) [239][300/1879] lr: 1.0000e-04 eta: 2:39:59 time: 0.2864 data_time: 0.0211 memory: 8198 grad_norm: 7.4268 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8698 loss: 0.8698 2022/08/04 02:52:38 - mmengine - INFO - Epoch(train) [239][320/1879] lr: 1.0000e-04 eta: 2:39:53 time: 0.3101 data_time: 0.0238 memory: 8198 grad_norm: 7.2421 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8785 loss: 0.8785 2022/08/04 02:52:44 - mmengine - INFO - Epoch(train) [239][340/1879] lr: 1.0000e-04 eta: 2:39:47 time: 0.2849 data_time: 0.0210 memory: 8198 grad_norm: 7.4173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8783 loss: 0.8783 2022/08/04 02:52:49 - mmengine - INFO - Epoch(train) [239][360/1879] lr: 1.0000e-04 eta: 2:39:42 time: 0.2839 data_time: 0.0230 memory: 8198 grad_norm: 7.3930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/08/04 02:52:55 - mmengine - INFO - Epoch(train) [239][380/1879] lr: 1.0000e-04 eta: 2:39:36 time: 0.2928 data_time: 0.0317 memory: 8198 grad_norm: 7.2871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8037 loss: 0.8037 2022/08/04 02:53:01 - mmengine - INFO - Epoch(train) [239][400/1879] lr: 1.0000e-04 eta: 2:39:30 time: 0.2851 data_time: 0.0238 memory: 8198 grad_norm: 7.2001 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/08/04 02:53:07 - mmengine - INFO - Epoch(train) [239][420/1879] lr: 1.0000e-04 eta: 2:39:24 time: 0.2884 data_time: 0.0234 memory: 8198 grad_norm: 7.1743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/08/04 02:53:12 - mmengine - INFO - Epoch(train) [239][440/1879] lr: 1.0000e-04 eta: 2:39:19 time: 0.2851 data_time: 0.0231 memory: 8198 grad_norm: 7.3476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0070 loss: 1.0070 2022/08/04 02:53:18 - mmengine - INFO - Epoch(train) [239][460/1879] lr: 1.0000e-04 eta: 2:39:13 time: 0.2911 data_time: 0.0192 memory: 8198 grad_norm: 7.1504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0608 loss: 1.0608 2022/08/04 02:53:24 - mmengine - INFO - Epoch(train) [239][480/1879] lr: 1.0000e-04 eta: 2:39:07 time: 0.2897 data_time: 0.0237 memory: 8198 grad_norm: 7.4594 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0282 loss: 1.0282 2022/08/04 02:53:30 - mmengine - INFO - Epoch(train) [239][500/1879] lr: 1.0000e-04 eta: 2:39:01 time: 0.2903 data_time: 0.0282 memory: 8198 grad_norm: 7.1068 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9996 loss: 0.9996 2022/08/04 02:53:39 - mmengine - INFO - Epoch(train) [239][520/1879] lr: 1.0000e-04 eta: 2:38:56 time: 0.4262 data_time: 0.0213 memory: 8198 grad_norm: 7.4061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0299 loss: 1.0299 2022/08/04 02:53:44 - mmengine - INFO - Epoch(train) [239][540/1879] lr: 1.0000e-04 eta: 2:38:50 time: 0.2926 data_time: 0.0306 memory: 8198 grad_norm: 7.4469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9278 loss: 0.9278 2022/08/04 02:53:50 - mmengine - INFO - Epoch(train) [239][560/1879] lr: 1.0000e-04 eta: 2:38:44 time: 0.2825 data_time: 0.0187 memory: 8198 grad_norm: 7.0953 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9281 loss: 0.9281 2022/08/04 02:53:56 - mmengine - INFO - Epoch(train) [239][580/1879] lr: 1.0000e-04 eta: 2:38:39 time: 0.2873 data_time: 0.0221 memory: 8198 grad_norm: 7.7523 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8999 loss: 0.8999 2022/08/04 02:54:02 - mmengine - INFO - Epoch(train) [239][600/1879] lr: 1.0000e-04 eta: 2:38:33 time: 0.2872 data_time: 0.0206 memory: 8198 grad_norm: 7.1199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8563 loss: 0.8563 2022/08/04 02:54:07 - mmengine - INFO - Epoch(train) [239][620/1879] lr: 1.0000e-04 eta: 2:38:27 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 7.4300 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8488 loss: 0.8488 2022/08/04 02:54:13 - mmengine - INFO - Epoch(train) [239][640/1879] lr: 1.0000e-04 eta: 2:38:22 time: 0.2886 data_time: 0.0213 memory: 8198 grad_norm: 7.5601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/08/04 02:54:19 - mmengine - INFO - Epoch(train) [239][660/1879] lr: 1.0000e-04 eta: 2:38:16 time: 0.3034 data_time: 0.0198 memory: 8198 grad_norm: 7.4403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9746 loss: 0.9746 2022/08/04 02:54:25 - mmengine - INFO - Epoch(train) [239][680/1879] lr: 1.0000e-04 eta: 2:38:10 time: 0.2875 data_time: 0.0232 memory: 8198 grad_norm: 7.2543 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9953 loss: 0.9953 2022/08/04 02:54:31 - mmengine - INFO - Epoch(train) [239][700/1879] lr: 1.0000e-04 eta: 2:38:04 time: 0.2881 data_time: 0.0214 memory: 8198 grad_norm: 7.3007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9426 loss: 0.9426 2022/08/04 02:54:37 - mmengine - INFO - Epoch(train) [239][720/1879] lr: 1.0000e-04 eta: 2:37:59 time: 0.2909 data_time: 0.0200 memory: 8198 grad_norm: 7.6284 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0271 loss: 1.0271 2022/08/04 02:54:42 - mmengine - INFO - Epoch(train) [239][740/1879] lr: 1.0000e-04 eta: 2:37:53 time: 0.2842 data_time: 0.0193 memory: 8198 grad_norm: 7.5266 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9780 loss: 0.9780 2022/08/04 02:54:48 - mmengine - INFO - Epoch(train) [239][760/1879] lr: 1.0000e-04 eta: 2:37:47 time: 0.2844 data_time: 0.0218 memory: 8198 grad_norm: 7.3757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9330 loss: 0.9330 2022/08/04 02:54:54 - mmengine - INFO - Epoch(train) [239][780/1879] lr: 1.0000e-04 eta: 2:37:42 time: 0.2852 data_time: 0.0241 memory: 8198 grad_norm: 7.2219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9862 loss: 0.9862 2022/08/04 02:55:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:55:00 - mmengine - INFO - Epoch(train) [239][800/1879] lr: 1.0000e-04 eta: 2:37:36 time: 0.3138 data_time: 0.0208 memory: 8198 grad_norm: 7.5673 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1915 loss: 1.1915 2022/08/04 02:55:06 - mmengine - INFO - Epoch(train) [239][820/1879] lr: 1.0000e-04 eta: 2:37:30 time: 0.2838 data_time: 0.0223 memory: 8198 grad_norm: 7.5272 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/08/04 02:55:12 - mmengine - INFO - Epoch(train) [239][840/1879] lr: 1.0000e-04 eta: 2:37:24 time: 0.2874 data_time: 0.0231 memory: 8198 grad_norm: 7.3388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9504 loss: 0.9504 2022/08/04 02:55:18 - mmengine - INFO - Epoch(train) [239][860/1879] lr: 1.0000e-04 eta: 2:37:19 time: 0.3002 data_time: 0.0245 memory: 8198 grad_norm: 7.6502 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9472 loss: 0.9472 2022/08/04 02:55:23 - mmengine - INFO - Epoch(train) [239][880/1879] lr: 1.0000e-04 eta: 2:37:13 time: 0.2865 data_time: 0.0235 memory: 8198 grad_norm: 7.3533 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8733 loss: 0.8733 2022/08/04 02:55:29 - mmengine - INFO - Epoch(train) [239][900/1879] lr: 1.0000e-04 eta: 2:37:07 time: 0.2877 data_time: 0.0223 memory: 8198 grad_norm: 7.2373 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9028 loss: 0.9028 2022/08/04 02:55:35 - mmengine - INFO - Epoch(train) [239][920/1879] lr: 1.0000e-04 eta: 2:37:02 time: 0.2913 data_time: 0.0207 memory: 8198 grad_norm: 7.5351 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8238 loss: 0.8238 2022/08/04 02:55:41 - mmengine - INFO - Epoch(train) [239][940/1879] lr: 1.0000e-04 eta: 2:36:56 time: 0.2846 data_time: 0.0211 memory: 8198 grad_norm: 7.3604 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7546 loss: 0.7546 2022/08/04 02:55:47 - mmengine - INFO - Epoch(train) [239][960/1879] lr: 1.0000e-04 eta: 2:36:50 time: 0.2875 data_time: 0.0280 memory: 8198 grad_norm: 7.2122 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/04 02:55:52 - mmengine - INFO - Epoch(train) [239][980/1879] lr: 1.0000e-04 eta: 2:36:44 time: 0.2868 data_time: 0.0231 memory: 8198 grad_norm: 7.5393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/08/04 02:55:58 - mmengine - INFO - Epoch(train) [239][1000/1879] lr: 1.0000e-04 eta: 2:36:39 time: 0.2984 data_time: 0.0236 memory: 8198 grad_norm: 7.6660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/08/04 02:56:04 - mmengine - INFO - Epoch(train) [239][1020/1879] lr: 1.0000e-04 eta: 2:36:33 time: 0.2927 data_time: 0.0257 memory: 8198 grad_norm: 7.4016 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2069 loss: 1.2069 2022/08/04 02:56:10 - mmengine - INFO - Epoch(train) [239][1040/1879] lr: 1.0000e-04 eta: 2:36:27 time: 0.2892 data_time: 0.0271 memory: 8198 grad_norm: 7.4122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/04 02:56:16 - mmengine - INFO - Epoch(train) [239][1060/1879] lr: 1.0000e-04 eta: 2:36:21 time: 0.2971 data_time: 0.0264 memory: 8198 grad_norm: 7.3844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0288 loss: 1.0288 2022/08/04 02:56:22 - mmengine - INFO - Epoch(train) [239][1080/1879] lr: 1.0000e-04 eta: 2:36:16 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 7.6968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/04 02:56:28 - mmengine - INFO - Epoch(train) [239][1100/1879] lr: 1.0000e-04 eta: 2:36:10 time: 0.2867 data_time: 0.0227 memory: 8198 grad_norm: 7.5739 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0147 loss: 1.0147 2022/08/04 02:56:33 - mmengine - INFO - Epoch(train) [239][1120/1879] lr: 1.0000e-04 eta: 2:36:04 time: 0.2842 data_time: 0.0227 memory: 8198 grad_norm: 7.4233 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0499 loss: 1.0499 2022/08/04 02:56:39 - mmengine - INFO - Epoch(train) [239][1140/1879] lr: 1.0000e-04 eta: 2:35:59 time: 0.2994 data_time: 0.0240 memory: 8198 grad_norm: 7.4574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8005 loss: 0.8005 2022/08/04 02:56:45 - mmengine - INFO - Epoch(train) [239][1160/1879] lr: 1.0000e-04 eta: 2:35:53 time: 0.2847 data_time: 0.0238 memory: 8198 grad_norm: 7.4259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/04 02:56:51 - mmengine - INFO - Epoch(train) [239][1180/1879] lr: 1.0000e-04 eta: 2:35:47 time: 0.2839 data_time: 0.0224 memory: 8198 grad_norm: 7.2409 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8510 loss: 0.8510 2022/08/04 02:56:57 - mmengine - INFO - Epoch(train) [239][1200/1879] lr: 1.0000e-04 eta: 2:35:41 time: 0.2960 data_time: 0.0174 memory: 8198 grad_norm: 7.3284 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9721 loss: 0.9721 2022/08/04 02:57:02 - mmengine - INFO - Epoch(train) [239][1220/1879] lr: 1.0000e-04 eta: 2:35:36 time: 0.2858 data_time: 0.0229 memory: 8198 grad_norm: 7.2724 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/04 02:57:08 - mmengine - INFO - Epoch(train) [239][1240/1879] lr: 1.0000e-04 eta: 2:35:30 time: 0.2935 data_time: 0.0300 memory: 8198 grad_norm: 7.2959 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9397 loss: 0.9397 2022/08/04 02:57:14 - mmengine - INFO - Epoch(train) [239][1260/1879] lr: 1.0000e-04 eta: 2:35:24 time: 0.2860 data_time: 0.0246 memory: 8198 grad_norm: 7.5936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9341 loss: 0.9341 2022/08/04 02:57:20 - mmengine - INFO - Epoch(train) [239][1280/1879] lr: 1.0000e-04 eta: 2:35:19 time: 0.3159 data_time: 0.0169 memory: 8198 grad_norm: 7.4023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/08/04 02:57:26 - mmengine - INFO - Epoch(train) [239][1300/1879] lr: 1.0000e-04 eta: 2:35:13 time: 0.2915 data_time: 0.0269 memory: 8198 grad_norm: 7.6267 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7969 loss: 0.7969 2022/08/04 02:57:32 - mmengine - INFO - Epoch(train) [239][1320/1879] lr: 1.0000e-04 eta: 2:35:07 time: 0.2846 data_time: 0.0208 memory: 8198 grad_norm: 7.4706 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9148 loss: 0.9148 2022/08/04 02:57:38 - mmengine - INFO - Epoch(train) [239][1340/1879] lr: 1.0000e-04 eta: 2:35:01 time: 0.2876 data_time: 0.0257 memory: 8198 grad_norm: 7.3295 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7792 loss: 0.7792 2022/08/04 02:57:44 - mmengine - INFO - Epoch(train) [239][1360/1879] lr: 1.0000e-04 eta: 2:34:56 time: 0.2903 data_time: 0.0228 memory: 8198 grad_norm: 7.5241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/08/04 02:57:50 - mmengine - INFO - Epoch(train) [239][1380/1879] lr: 1.0000e-04 eta: 2:34:50 time: 0.2917 data_time: 0.0205 memory: 8198 grad_norm: 7.3444 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8413 loss: 0.8413 2022/08/04 02:57:55 - mmengine - INFO - Epoch(train) [239][1400/1879] lr: 1.0000e-04 eta: 2:34:44 time: 0.2873 data_time: 0.0249 memory: 8198 grad_norm: 7.3657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0803 loss: 1.0803 2022/08/04 02:58:01 - mmengine - INFO - Epoch(train) [239][1420/1879] lr: 1.0000e-04 eta: 2:34:38 time: 0.2857 data_time: 0.0225 memory: 8198 grad_norm: 7.6624 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/08/04 02:58:07 - mmengine - INFO - Epoch(train) [239][1440/1879] lr: 1.0000e-04 eta: 2:34:33 time: 0.2904 data_time: 0.0241 memory: 8198 grad_norm: 7.3383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9479 loss: 0.9479 2022/08/04 02:58:13 - mmengine - INFO - Epoch(train) [239][1460/1879] lr: 1.0000e-04 eta: 2:34:27 time: 0.2851 data_time: 0.0191 memory: 8198 grad_norm: 7.1754 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8544 loss: 0.8544 2022/08/04 02:58:18 - mmengine - INFO - Epoch(train) [239][1480/1879] lr: 1.0000e-04 eta: 2:34:21 time: 0.2840 data_time: 0.0181 memory: 8198 grad_norm: 6.9835 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8661 loss: 0.8661 2022/08/04 02:58:24 - mmengine - INFO - Epoch(train) [239][1500/1879] lr: 1.0000e-04 eta: 2:34:16 time: 0.2870 data_time: 0.0205 memory: 8198 grad_norm: 7.6107 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1514 loss: 1.1514 2022/08/04 02:58:30 - mmengine - INFO - Epoch(train) [239][1520/1879] lr: 1.0000e-04 eta: 2:34:10 time: 0.2970 data_time: 0.0206 memory: 8198 grad_norm: 7.4344 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8875 loss: 0.8875 2022/08/04 02:58:36 - mmengine - INFO - Epoch(train) [239][1540/1879] lr: 1.0000e-04 eta: 2:34:04 time: 0.2857 data_time: 0.0184 memory: 8198 grad_norm: 7.5560 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/08/04 02:58:42 - mmengine - INFO - Epoch(train) [239][1560/1879] lr: 1.0000e-04 eta: 2:33:58 time: 0.2859 data_time: 0.0265 memory: 8198 grad_norm: 7.7095 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8344 loss: 0.8344 2022/08/04 02:58:47 - mmengine - INFO - Epoch(train) [239][1580/1879] lr: 1.0000e-04 eta: 2:33:53 time: 0.2946 data_time: 0.0324 memory: 8198 grad_norm: 7.2674 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9261 loss: 0.9261 2022/08/04 02:58:53 - mmengine - INFO - Epoch(train) [239][1600/1879] lr: 1.0000e-04 eta: 2:33:47 time: 0.2850 data_time: 0.0202 memory: 8198 grad_norm: 7.5091 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9376 loss: 0.9376 2022/08/04 02:58:59 - mmengine - INFO - Epoch(train) [239][1620/1879] lr: 1.0000e-04 eta: 2:33:41 time: 0.2866 data_time: 0.0220 memory: 8198 grad_norm: 7.6037 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9187 loss: 0.9187 2022/08/04 02:59:05 - mmengine - INFO - Epoch(train) [239][1640/1879] lr: 1.0000e-04 eta: 2:33:35 time: 0.2844 data_time: 0.0196 memory: 8198 grad_norm: 7.4847 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8584 loss: 0.8584 2022/08/04 02:59:10 - mmengine - INFO - Epoch(train) [239][1660/1879] lr: 1.0000e-04 eta: 2:33:30 time: 0.2863 data_time: 0.0249 memory: 8198 grad_norm: 7.3869 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/08/04 02:59:16 - mmengine - INFO - Epoch(train) [239][1680/1879] lr: 1.0000e-04 eta: 2:33:24 time: 0.2902 data_time: 0.0253 memory: 8198 grad_norm: 7.4093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0531 loss: 1.0531 2022/08/04 02:59:22 - mmengine - INFO - Epoch(train) [239][1700/1879] lr: 1.0000e-04 eta: 2:33:18 time: 0.2903 data_time: 0.0208 memory: 8198 grad_norm: 7.7211 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/08/04 02:59:28 - mmengine - INFO - Epoch(train) [239][1720/1879] lr: 1.0000e-04 eta: 2:33:13 time: 0.2857 data_time: 0.0223 memory: 8198 grad_norm: 7.3105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9489 loss: 0.9489 2022/08/04 02:59:34 - mmengine - INFO - Epoch(train) [239][1740/1879] lr: 1.0000e-04 eta: 2:33:07 time: 0.2849 data_time: 0.0224 memory: 8198 grad_norm: 7.3872 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9631 loss: 0.9631 2022/08/04 02:59:39 - mmengine - INFO - Epoch(train) [239][1760/1879] lr: 1.0000e-04 eta: 2:33:01 time: 0.2851 data_time: 0.0212 memory: 8198 grad_norm: 7.4268 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9480 loss: 0.9480 2022/08/04 02:59:45 - mmengine - INFO - Epoch(train) [239][1780/1879] lr: 1.0000e-04 eta: 2:32:55 time: 0.2930 data_time: 0.0233 memory: 8198 grad_norm: 7.1383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8689 loss: 0.8689 2022/08/04 02:59:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 02:59:51 - mmengine - INFO - Epoch(train) [239][1800/1879] lr: 1.0000e-04 eta: 2:32:50 time: 0.2872 data_time: 0.0213 memory: 8198 grad_norm: 7.3476 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9866 loss: 0.9866 2022/08/04 02:59:57 - mmengine - INFO - Epoch(train) [239][1820/1879] lr: 1.0000e-04 eta: 2:32:44 time: 0.2921 data_time: 0.0274 memory: 8198 grad_norm: 7.2946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/08/04 03:00:03 - mmengine - INFO - Epoch(train) [239][1840/1879] lr: 1.0000e-04 eta: 2:32:38 time: 0.2839 data_time: 0.0193 memory: 8198 grad_norm: 7.4802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0098 loss: 1.0098 2022/08/04 03:00:08 - mmengine - INFO - Epoch(train) [239][1860/1879] lr: 1.0000e-04 eta: 2:32:33 time: 0.2896 data_time: 0.0214 memory: 8198 grad_norm: 7.3923 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7695 loss: 0.7695 2022/08/04 03:00:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:00:13 - mmengine - INFO - Epoch(train) [239][1879/1879] lr: 1.0000e-04 eta: 2:32:33 time: 0.2604 data_time: 0.0190 memory: 8198 grad_norm: 7.3679 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8919 loss: 0.8919 2022/08/04 03:00:21 - mmengine - INFO - Epoch(train) [240][20/1879] lr: 1.0000e-04 eta: 2:32:21 time: 0.4028 data_time: 0.1084 memory: 8198 grad_norm: 7.6383 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8313 loss: 0.8313 2022/08/04 03:00:27 - mmengine - INFO - Epoch(train) [240][40/1879] lr: 1.0000e-04 eta: 2:32:15 time: 0.2924 data_time: 0.0214 memory: 8198 grad_norm: 7.3412 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0435 loss: 1.0435 2022/08/04 03:00:33 - mmengine - INFO - Epoch(train) [240][60/1879] lr: 1.0000e-04 eta: 2:32:10 time: 0.2952 data_time: 0.0239 memory: 8198 grad_norm: 7.3865 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/08/04 03:00:39 - mmengine - INFO - Epoch(train) [240][80/1879] lr: 1.0000e-04 eta: 2:32:04 time: 0.2989 data_time: 0.0276 memory: 8198 grad_norm: 7.1208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/08/04 03:00:45 - mmengine - INFO - Epoch(train) [240][100/1879] lr: 1.0000e-04 eta: 2:31:58 time: 0.2872 data_time: 0.0271 memory: 8198 grad_norm: 7.4308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9225 loss: 0.9225 2022/08/04 03:00:51 - mmengine - INFO - Epoch(train) [240][120/1879] lr: 1.0000e-04 eta: 2:31:53 time: 0.2869 data_time: 0.0255 memory: 8198 grad_norm: 7.5466 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9378 loss: 0.9378 2022/08/04 03:00:57 - mmengine - INFO - Epoch(train) [240][140/1879] lr: 1.0000e-04 eta: 2:31:47 time: 0.3123 data_time: 0.0229 memory: 8198 grad_norm: 6.9655 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0102 loss: 1.0102 2022/08/04 03:01:03 - mmengine - INFO - Epoch(train) [240][160/1879] lr: 1.0000e-04 eta: 2:31:41 time: 0.2847 data_time: 0.0240 memory: 8198 grad_norm: 7.4714 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0042 loss: 1.0042 2022/08/04 03:01:08 - mmengine - INFO - Epoch(train) [240][180/1879] lr: 1.0000e-04 eta: 2:31:35 time: 0.2830 data_time: 0.0162 memory: 8198 grad_norm: 7.0812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/08/04 03:01:14 - mmengine - INFO - Epoch(train) [240][200/1879] lr: 1.0000e-04 eta: 2:31:30 time: 0.2923 data_time: 0.0277 memory: 8198 grad_norm: 7.3218 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8792 loss: 0.8792 2022/08/04 03:01:20 - mmengine - INFO - Epoch(train) [240][220/1879] lr: 1.0000e-04 eta: 2:31:24 time: 0.3046 data_time: 0.0188 memory: 8198 grad_norm: 7.2703 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9170 loss: 0.9170 2022/08/04 03:01:26 - mmengine - INFO - Epoch(train) [240][240/1879] lr: 1.0000e-04 eta: 2:31:18 time: 0.2840 data_time: 0.0225 memory: 8198 grad_norm: 7.1060 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7993 loss: 0.7993 2022/08/04 03:01:32 - mmengine - INFO - Epoch(train) [240][260/1879] lr: 1.0000e-04 eta: 2:31:13 time: 0.3002 data_time: 0.0279 memory: 8198 grad_norm: 7.4571 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8708 loss: 0.8708 2022/08/04 03:01:38 - mmengine - INFO - Epoch(train) [240][280/1879] lr: 1.0000e-04 eta: 2:31:07 time: 0.2849 data_time: 0.0239 memory: 8198 grad_norm: 7.5822 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9025 loss: 0.9025 2022/08/04 03:01:44 - mmengine - INFO - Epoch(train) [240][300/1879] lr: 1.0000e-04 eta: 2:31:01 time: 0.2858 data_time: 0.0184 memory: 8198 grad_norm: 7.3957 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0209 loss: 1.0209 2022/08/04 03:01:50 - mmengine - INFO - Epoch(train) [240][320/1879] lr: 1.0000e-04 eta: 2:30:55 time: 0.3077 data_time: 0.0256 memory: 8198 grad_norm: 7.4445 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9453 loss: 0.9453 2022/08/04 03:01:56 - mmengine - INFO - Epoch(train) [240][340/1879] lr: 1.0000e-04 eta: 2:30:50 time: 0.2859 data_time: 0.0220 memory: 8198 grad_norm: 7.4869 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9831 loss: 0.9831 2022/08/04 03:02:01 - mmengine - INFO - Epoch(train) [240][360/1879] lr: 1.0000e-04 eta: 2:30:44 time: 0.2860 data_time: 0.0205 memory: 8198 grad_norm: 7.2774 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9417 loss: 0.9417 2022/08/04 03:02:08 - mmengine - INFO - Epoch(train) [240][380/1879] lr: 1.0000e-04 eta: 2:30:38 time: 0.3083 data_time: 0.0228 memory: 8198 grad_norm: 7.3299 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8774 loss: 0.8774 2022/08/04 03:02:13 - mmengine - INFO - Epoch(train) [240][400/1879] lr: 1.0000e-04 eta: 2:30:32 time: 0.2834 data_time: 0.0195 memory: 8198 grad_norm: 7.3782 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9482 loss: 0.9482 2022/08/04 03:02:19 - mmengine - INFO - Epoch(train) [240][420/1879] lr: 1.0000e-04 eta: 2:30:27 time: 0.2877 data_time: 0.0220 memory: 8198 grad_norm: 7.2099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8718 loss: 0.8718 2022/08/04 03:02:25 - mmengine - INFO - Epoch(train) [240][440/1879] lr: 1.0000e-04 eta: 2:30:21 time: 0.2874 data_time: 0.0218 memory: 8198 grad_norm: 7.5889 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8718 loss: 0.8718 2022/08/04 03:02:31 - mmengine - INFO - Epoch(train) [240][460/1879] lr: 1.0000e-04 eta: 2:30:15 time: 0.2864 data_time: 0.0232 memory: 8198 grad_norm: 7.2573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7678 loss: 0.7678 2022/08/04 03:02:36 - mmengine - INFO - Epoch(train) [240][480/1879] lr: 1.0000e-04 eta: 2:30:10 time: 0.2902 data_time: 0.0198 memory: 8198 grad_norm: 7.0557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/08/04 03:02:42 - mmengine - INFO - Epoch(train) [240][500/1879] lr: 1.0000e-04 eta: 2:30:04 time: 0.2840 data_time: 0.0202 memory: 8198 grad_norm: 7.4254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0247 loss: 1.0247 2022/08/04 03:02:48 - mmengine - INFO - Epoch(train) [240][520/1879] lr: 1.0000e-04 eta: 2:29:58 time: 0.2899 data_time: 0.0189 memory: 8198 grad_norm: 7.3752 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0247 loss: 1.0247 2022/08/04 03:02:54 - mmengine - INFO - Epoch(train) [240][540/1879] lr: 1.0000e-04 eta: 2:29:52 time: 0.2891 data_time: 0.0263 memory: 8198 grad_norm: 7.2776 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8744 loss: 0.8744 2022/08/04 03:03:00 - mmengine - INFO - Epoch(train) [240][560/1879] lr: 1.0000e-04 eta: 2:29:47 time: 0.2884 data_time: 0.0193 memory: 8198 grad_norm: 7.7185 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1204 loss: 1.1204 2022/08/04 03:03:05 - mmengine - INFO - Epoch(train) [240][580/1879] lr: 1.0000e-04 eta: 2:29:41 time: 0.2879 data_time: 0.0225 memory: 8198 grad_norm: 7.1661 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7891 loss: 0.7891 2022/08/04 03:03:11 - mmengine - INFO - Epoch(train) [240][600/1879] lr: 1.0000e-04 eta: 2:29:35 time: 0.2866 data_time: 0.0240 memory: 8198 grad_norm: 7.4017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8913 loss: 0.8913 2022/08/04 03:03:17 - mmengine - INFO - Epoch(train) [240][620/1879] lr: 1.0000e-04 eta: 2:29:29 time: 0.2866 data_time: 0.0207 memory: 8198 grad_norm: 7.3895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7905 loss: 0.7905 2022/08/04 03:03:23 - mmengine - INFO - Epoch(train) [240][640/1879] lr: 1.0000e-04 eta: 2:29:24 time: 0.2845 data_time: 0.0250 memory: 8198 grad_norm: 7.2707 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9102 loss: 0.9102 2022/08/04 03:03:28 - mmengine - INFO - Epoch(train) [240][660/1879] lr: 1.0000e-04 eta: 2:29:18 time: 0.2908 data_time: 0.0199 memory: 8198 grad_norm: 7.3514 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/04 03:03:34 - mmengine - INFO - Epoch(train) [240][680/1879] lr: 1.0000e-04 eta: 2:29:12 time: 0.2880 data_time: 0.0271 memory: 8198 grad_norm: 7.3987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/08/04 03:03:40 - mmengine - INFO - Epoch(train) [240][700/1879] lr: 1.0000e-04 eta: 2:29:07 time: 0.2839 data_time: 0.0199 memory: 8198 grad_norm: 7.6654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0110 loss: 1.0110 2022/08/04 03:03:46 - mmengine - INFO - Epoch(train) [240][720/1879] lr: 1.0000e-04 eta: 2:29:01 time: 0.2904 data_time: 0.0252 memory: 8198 grad_norm: 7.2598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8739 loss: 0.8739 2022/08/04 03:03:52 - mmengine - INFO - Epoch(train) [240][740/1879] lr: 1.0000e-04 eta: 2:28:55 time: 0.2849 data_time: 0.0201 memory: 8198 grad_norm: 7.3383 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8900 loss: 0.8900 2022/08/04 03:03:57 - mmengine - INFO - Epoch(train) [240][760/1879] lr: 1.0000e-04 eta: 2:28:49 time: 0.2900 data_time: 0.0207 memory: 8198 grad_norm: 7.5370 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/08/04 03:04:03 - mmengine - INFO - Epoch(train) [240][780/1879] lr: 1.0000e-04 eta: 2:28:44 time: 0.2861 data_time: 0.0202 memory: 8198 grad_norm: 7.6437 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/08/04 03:04:09 - mmengine - INFO - Epoch(train) [240][800/1879] lr: 1.0000e-04 eta: 2:28:38 time: 0.3012 data_time: 0.0228 memory: 8198 grad_norm: 7.5263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/08/04 03:04:15 - mmengine - INFO - Epoch(train) [240][820/1879] lr: 1.0000e-04 eta: 2:28:32 time: 0.2862 data_time: 0.0213 memory: 8198 grad_norm: 7.5201 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0141 loss: 1.0141 2022/08/04 03:04:21 - mmengine - INFO - Epoch(train) [240][840/1879] lr: 1.0000e-04 eta: 2:28:27 time: 0.2906 data_time: 0.0216 memory: 8198 grad_norm: 7.3013 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/08/04 03:04:27 - mmengine - INFO - Epoch(train) [240][860/1879] lr: 1.0000e-04 eta: 2:28:21 time: 0.2931 data_time: 0.0260 memory: 8198 grad_norm: 7.3869 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0989 loss: 1.0989 2022/08/04 03:04:32 - mmengine - INFO - Epoch(train) [240][880/1879] lr: 1.0000e-04 eta: 2:28:15 time: 0.2860 data_time: 0.0222 memory: 8198 grad_norm: 7.3594 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9755 loss: 0.9755 2022/08/04 03:04:38 - mmengine - INFO - Epoch(train) [240][900/1879] lr: 1.0000e-04 eta: 2:28:09 time: 0.2886 data_time: 0.0206 memory: 8198 grad_norm: 7.4588 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0213 loss: 1.0213 2022/08/04 03:04:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:04:44 - mmengine - INFO - Epoch(train) [240][920/1879] lr: 1.0000e-04 eta: 2:28:04 time: 0.2843 data_time: 0.0244 memory: 8198 grad_norm: 7.0935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7466 loss: 0.7466 2022/08/04 03:04:50 - mmengine - INFO - Epoch(train) [240][940/1879] lr: 1.0000e-04 eta: 2:27:58 time: 0.2882 data_time: 0.0219 memory: 8198 grad_norm: 7.1691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9620 loss: 0.9620 2022/08/04 03:04:56 - mmengine - INFO - Epoch(train) [240][960/1879] lr: 1.0000e-04 eta: 2:27:52 time: 0.2896 data_time: 0.0223 memory: 8198 grad_norm: 7.4112 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/08/04 03:05:01 - mmengine - INFO - Epoch(train) [240][980/1879] lr: 1.0000e-04 eta: 2:27:46 time: 0.2860 data_time: 0.0196 memory: 8198 grad_norm: 7.4323 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8142 loss: 0.8142 2022/08/04 03:05:07 - mmengine - INFO - Epoch(train) [240][1000/1879] lr: 1.0000e-04 eta: 2:27:41 time: 0.2923 data_time: 0.0287 memory: 8198 grad_norm: 7.5066 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9914 loss: 0.9914 2022/08/04 03:05:13 - mmengine - INFO - Epoch(train) [240][1020/1879] lr: 1.0000e-04 eta: 2:27:35 time: 0.2856 data_time: 0.0216 memory: 8198 grad_norm: 7.3831 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/08/04 03:05:19 - mmengine - INFO - Epoch(train) [240][1040/1879] lr: 1.0000e-04 eta: 2:27:29 time: 0.2892 data_time: 0.0229 memory: 8198 grad_norm: 7.4871 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0402 loss: 1.0402 2022/08/04 03:05:24 - mmengine - INFO - Epoch(train) [240][1060/1879] lr: 1.0000e-04 eta: 2:27:24 time: 0.2860 data_time: 0.0239 memory: 8198 grad_norm: 7.1705 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7902 loss: 0.7902 2022/08/04 03:05:30 - mmengine - INFO - Epoch(train) [240][1080/1879] lr: 1.0000e-04 eta: 2:27:18 time: 0.2877 data_time: 0.0234 memory: 8198 grad_norm: 7.3348 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8177 loss: 0.8177 2022/08/04 03:05:36 - mmengine - INFO - Epoch(train) [240][1100/1879] lr: 1.0000e-04 eta: 2:27:12 time: 0.2888 data_time: 0.0227 memory: 8198 grad_norm: 7.4122 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9752 loss: 0.9752 2022/08/04 03:05:42 - mmengine - INFO - Epoch(train) [240][1120/1879] lr: 1.0000e-04 eta: 2:27:06 time: 0.2859 data_time: 0.0246 memory: 8198 grad_norm: 7.4483 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9769 loss: 0.9769 2022/08/04 03:05:48 - mmengine - INFO - Epoch(train) [240][1140/1879] lr: 1.0000e-04 eta: 2:27:01 time: 0.2915 data_time: 0.0250 memory: 8198 grad_norm: 7.4627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8393 loss: 0.8393 2022/08/04 03:05:53 - mmengine - INFO - Epoch(train) [240][1160/1879] lr: 1.0000e-04 eta: 2:26:55 time: 0.2863 data_time: 0.0237 memory: 8198 grad_norm: 7.2497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8452 loss: 0.8452 2022/08/04 03:05:59 - mmengine - INFO - Epoch(train) [240][1180/1879] lr: 1.0000e-04 eta: 2:26:49 time: 0.2896 data_time: 0.0196 memory: 8198 grad_norm: 7.2490 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1183 loss: 1.1183 2022/08/04 03:06:05 - mmengine - INFO - Epoch(train) [240][1200/1879] lr: 1.0000e-04 eta: 2:26:43 time: 0.2865 data_time: 0.0210 memory: 8198 grad_norm: 7.5923 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0267 loss: 1.0267 2022/08/04 03:06:11 - mmengine - INFO - Epoch(train) [240][1220/1879] lr: 1.0000e-04 eta: 2:26:38 time: 0.2983 data_time: 0.0207 memory: 8198 grad_norm: 7.3303 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9057 loss: 0.9057 2022/08/04 03:06:17 - mmengine - INFO - Epoch(train) [240][1240/1879] lr: 1.0000e-04 eta: 2:26:32 time: 0.2920 data_time: 0.0199 memory: 8198 grad_norm: 7.2350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8382 loss: 0.8382 2022/08/04 03:06:23 - mmengine - INFO - Epoch(train) [240][1260/1879] lr: 1.0000e-04 eta: 2:26:26 time: 0.2851 data_time: 0.0259 memory: 8198 grad_norm: 7.4671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/08/04 03:06:28 - mmengine - INFO - Epoch(train) [240][1280/1879] lr: 1.0000e-04 eta: 2:26:21 time: 0.2902 data_time: 0.0224 memory: 8198 grad_norm: 7.4320 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0130 loss: 1.0130 2022/08/04 03:06:34 - mmengine - INFO - Epoch(train) [240][1300/1879] lr: 1.0000e-04 eta: 2:26:15 time: 0.2861 data_time: 0.0193 memory: 8198 grad_norm: 7.3032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7349 loss: 0.7349 2022/08/04 03:06:40 - mmengine - INFO - Epoch(train) [240][1320/1879] lr: 1.0000e-04 eta: 2:26:09 time: 0.2979 data_time: 0.0236 memory: 8198 grad_norm: 7.1315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8854 loss: 0.8854 2022/08/04 03:06:46 - mmengine - INFO - Epoch(train) [240][1340/1879] lr: 1.0000e-04 eta: 2:26:03 time: 0.2885 data_time: 0.0195 memory: 8198 grad_norm: 7.5037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8578 loss: 0.8578 2022/08/04 03:06:52 - mmengine - INFO - Epoch(train) [240][1360/1879] lr: 1.0000e-04 eta: 2:25:58 time: 0.2892 data_time: 0.0300 memory: 8198 grad_norm: 7.4927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1258 loss: 1.1258 2022/08/04 03:06:58 - mmengine - INFO - Epoch(train) [240][1380/1879] lr: 1.0000e-04 eta: 2:25:52 time: 0.2859 data_time: 0.0191 memory: 8198 grad_norm: 7.7629 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9458 loss: 0.9458 2022/08/04 03:07:03 - mmengine - INFO - Epoch(train) [240][1400/1879] lr: 1.0000e-04 eta: 2:25:46 time: 0.2873 data_time: 0.0197 memory: 8198 grad_norm: 7.2149 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8966 loss: 0.8966 2022/08/04 03:07:09 - mmengine - INFO - Epoch(train) [240][1420/1879] lr: 1.0000e-04 eta: 2:25:41 time: 0.2940 data_time: 0.0242 memory: 8198 grad_norm: 7.7142 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8550 loss: 0.8550 2022/08/04 03:07:15 - mmengine - INFO - Epoch(train) [240][1440/1879] lr: 1.0000e-04 eta: 2:25:35 time: 0.2840 data_time: 0.0188 memory: 8198 grad_norm: 7.1353 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8261 loss: 0.8261 2022/08/04 03:07:21 - mmengine - INFO - Epoch(train) [240][1460/1879] lr: 1.0000e-04 eta: 2:25:29 time: 0.2882 data_time: 0.0230 memory: 8198 grad_norm: 7.2292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9955 loss: 0.9955 2022/08/04 03:07:27 - mmengine - INFO - Epoch(train) [240][1480/1879] lr: 1.0000e-04 eta: 2:25:23 time: 0.2903 data_time: 0.0200 memory: 8198 grad_norm: 7.4555 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/08/04 03:07:32 - mmengine - INFO - Epoch(train) [240][1500/1879] lr: 1.0000e-04 eta: 2:25:18 time: 0.2842 data_time: 0.0227 memory: 8198 grad_norm: 7.4873 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9853 loss: 0.9853 2022/08/04 03:07:38 - mmengine - INFO - Epoch(train) [240][1520/1879] lr: 1.0000e-04 eta: 2:25:12 time: 0.2889 data_time: 0.0251 memory: 8198 grad_norm: 7.4866 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9228 loss: 0.9228 2022/08/04 03:07:44 - mmengine - INFO - Epoch(train) [240][1540/1879] lr: 1.0000e-04 eta: 2:25:06 time: 0.2862 data_time: 0.0251 memory: 8198 grad_norm: 7.4573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9420 loss: 0.9420 2022/08/04 03:07:50 - mmengine - INFO - Epoch(train) [240][1560/1879] lr: 1.0000e-04 eta: 2:25:00 time: 0.2859 data_time: 0.0216 memory: 8198 grad_norm: 7.3827 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0137 loss: 1.0137 2022/08/04 03:07:55 - mmengine - INFO - Epoch(train) [240][1580/1879] lr: 1.0000e-04 eta: 2:24:55 time: 0.2857 data_time: 0.0211 memory: 8198 grad_norm: 7.2865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8360 loss: 0.8360 2022/08/04 03:08:01 - mmengine - INFO - Epoch(train) [240][1600/1879] lr: 1.0000e-04 eta: 2:24:49 time: 0.2868 data_time: 0.0312 memory: 8198 grad_norm: 7.4416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0920 loss: 1.0920 2022/08/04 03:08:07 - mmengine - INFO - Epoch(train) [240][1620/1879] lr: 1.0000e-04 eta: 2:24:43 time: 0.3042 data_time: 0.0222 memory: 8198 grad_norm: 7.2356 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8530 loss: 0.8530 2022/08/04 03:08:13 - mmengine - INFO - Epoch(train) [240][1640/1879] lr: 1.0000e-04 eta: 2:24:38 time: 0.2837 data_time: 0.0206 memory: 8198 grad_norm: 7.2683 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/08/04 03:08:19 - mmengine - INFO - Epoch(train) [240][1660/1879] lr: 1.0000e-04 eta: 2:24:32 time: 0.2914 data_time: 0.0220 memory: 8198 grad_norm: 7.4765 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9961 loss: 0.9961 2022/08/04 03:08:28 - mmengine - INFO - Epoch(train) [240][1680/1879] lr: 1.0000e-04 eta: 2:24:26 time: 0.4698 data_time: 0.0198 memory: 8198 grad_norm: 7.5061 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9950 loss: 0.9950 2022/08/04 03:08:34 - mmengine - INFO - Epoch(train) [240][1700/1879] lr: 1.0000e-04 eta: 2:24:21 time: 0.2857 data_time: 0.0218 memory: 8198 grad_norm: 7.1474 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9740 loss: 0.9740 2022/08/04 03:08:40 - mmengine - INFO - Epoch(train) [240][1720/1879] lr: 1.0000e-04 eta: 2:24:15 time: 0.2989 data_time: 0.0200 memory: 8198 grad_norm: 7.2992 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7676 loss: 0.7676 2022/08/04 03:08:46 - mmengine - INFO - Epoch(train) [240][1740/1879] lr: 1.0000e-04 eta: 2:24:09 time: 0.2885 data_time: 0.0243 memory: 8198 grad_norm: 7.2260 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8791 loss: 0.8791 2022/08/04 03:08:52 - mmengine - INFO - Epoch(train) [240][1760/1879] lr: 1.0000e-04 eta: 2:24:03 time: 0.2871 data_time: 0.0266 memory: 8198 grad_norm: 7.3119 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7928 loss: 0.7928 2022/08/04 03:08:57 - mmengine - INFO - Epoch(train) [240][1780/1879] lr: 1.0000e-04 eta: 2:23:58 time: 0.2970 data_time: 0.0238 memory: 8198 grad_norm: 7.4388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8806 loss: 0.8806 2022/08/04 03:09:03 - mmengine - INFO - Epoch(train) [240][1800/1879] lr: 1.0000e-04 eta: 2:23:52 time: 0.2851 data_time: 0.0252 memory: 8198 grad_norm: 7.5130 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/04 03:09:09 - mmengine - INFO - Epoch(train) [240][1820/1879] lr: 1.0000e-04 eta: 2:23:46 time: 0.2921 data_time: 0.0222 memory: 8198 grad_norm: 7.3495 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8038 loss: 0.8038 2022/08/04 03:09:15 - mmengine - INFO - Epoch(train) [240][1840/1879] lr: 1.0000e-04 eta: 2:23:41 time: 0.2838 data_time: 0.0240 memory: 8198 grad_norm: 7.4434 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9850 loss: 0.9850 2022/08/04 03:09:21 - mmengine - INFO - Epoch(train) [240][1860/1879] lr: 1.0000e-04 eta: 2:23:35 time: 0.2904 data_time: 0.0252 memory: 8198 grad_norm: 7.1924 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/08/04 03:09:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:09:26 - mmengine - INFO - Epoch(train) [240][1879/1879] lr: 1.0000e-04 eta: 2:23:35 time: 0.2582 data_time: 0.0174 memory: 8198 grad_norm: 7.5203 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0392 loss: 1.0392 2022/08/04 03:09:26 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/04 03:09:35 - mmengine - INFO - Epoch(val) [240][20/155] eta: 0:00:49 time: 0.3643 data_time: 0.2774 memory: 1514 2022/08/04 03:09:40 - mmengine - INFO - Epoch(val) [240][40/155] eta: 0:00:26 time: 0.2286 data_time: 0.1432 memory: 1514 2022/08/04 03:09:46 - mmengine - INFO - Epoch(val) [240][60/155] eta: 0:00:30 time: 0.3177 data_time: 0.2320 memory: 1514 2022/08/04 03:09:51 - mmengine - INFO - Epoch(val) [240][80/155] eta: 0:00:17 time: 0.2276 data_time: 0.1392 memory: 1514 2022/08/04 03:09:57 - mmengine - INFO - Epoch(val) [240][100/155] eta: 0:00:16 time: 0.3041 data_time: 0.2155 memory: 1514 2022/08/04 03:10:01 - mmengine - INFO - Epoch(val) [240][120/155] eta: 0:00:07 time: 0.2179 data_time: 0.1307 memory: 1514 2022/08/04 03:10:07 - mmengine - INFO - Epoch(val) [240][140/155] eta: 0:00:04 time: 0.2717 data_time: 0.1866 memory: 1514 2022/08/04 03:10:11 - mmengine - INFO - Epoch(val) [240][155/155] acc/top1: 0.6796 acc/top5: 0.8663 acc/mean1: 0.6794 2022/08/04 03:10:20 - mmengine - INFO - Epoch(train) [241][20/1879] lr: 1.0000e-04 eta: 2:23:23 time: 0.4244 data_time: 0.1031 memory: 8198 grad_norm: 7.3575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0060 loss: 1.0060 2022/08/04 03:10:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:10:26 - mmengine - INFO - Epoch(train) [241][40/1879] lr: 1.0000e-04 eta: 2:23:18 time: 0.2915 data_time: 0.0227 memory: 8198 grad_norm: 7.4473 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9770 loss: 0.9770 2022/08/04 03:10:31 - mmengine - INFO - Epoch(train) [241][60/1879] lr: 1.0000e-04 eta: 2:23:12 time: 0.2972 data_time: 0.0219 memory: 8198 grad_norm: 7.1143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/04 03:10:37 - mmengine - INFO - Epoch(train) [241][80/1879] lr: 1.0000e-04 eta: 2:23:06 time: 0.2905 data_time: 0.0297 memory: 8198 grad_norm: 7.2792 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8782 loss: 0.8782 2022/08/04 03:10:43 - mmengine - INFO - Epoch(train) [241][100/1879] lr: 1.0000e-04 eta: 2:23:01 time: 0.2857 data_time: 0.0238 memory: 8198 grad_norm: 7.1286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9050 loss: 0.9050 2022/08/04 03:10:49 - mmengine - INFO - Epoch(train) [241][120/1879] lr: 1.0000e-04 eta: 2:22:55 time: 0.2953 data_time: 0.0230 memory: 8198 grad_norm: 7.3715 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0113 loss: 1.0113 2022/08/04 03:10:55 - mmengine - INFO - Epoch(train) [241][140/1879] lr: 1.0000e-04 eta: 2:22:49 time: 0.2926 data_time: 0.0338 memory: 8198 grad_norm: 7.4671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9260 loss: 0.9260 2022/08/04 03:11:01 - mmengine - INFO - Epoch(train) [241][160/1879] lr: 1.0000e-04 eta: 2:22:43 time: 0.2842 data_time: 0.0212 memory: 8198 grad_norm: 7.2930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0339 loss: 1.0339 2022/08/04 03:11:06 - mmengine - INFO - Epoch(train) [241][180/1879] lr: 1.0000e-04 eta: 2:22:38 time: 0.2896 data_time: 0.0247 memory: 8198 grad_norm: 7.1110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/08/04 03:11:12 - mmengine - INFO - Epoch(train) [241][200/1879] lr: 1.0000e-04 eta: 2:22:32 time: 0.2947 data_time: 0.0198 memory: 8198 grad_norm: 7.1127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9023 loss: 0.9023 2022/08/04 03:11:18 - mmengine - INFO - Epoch(train) [241][220/1879] lr: 1.0000e-04 eta: 2:22:26 time: 0.2893 data_time: 0.0208 memory: 8198 grad_norm: 7.5739 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8991 loss: 0.8991 2022/08/04 03:11:24 - mmengine - INFO - Epoch(train) [241][240/1879] lr: 1.0000e-04 eta: 2:22:21 time: 0.2871 data_time: 0.0240 memory: 8198 grad_norm: 7.5538 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/04 03:11:30 - mmengine - INFO - Epoch(train) [241][260/1879] lr: 1.0000e-04 eta: 2:22:15 time: 0.2905 data_time: 0.0212 memory: 8198 grad_norm: 7.1942 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8126 loss: 0.8126 2022/08/04 03:11:36 - mmengine - INFO - Epoch(train) [241][280/1879] lr: 1.0000e-04 eta: 2:22:09 time: 0.2858 data_time: 0.0229 memory: 8198 grad_norm: 7.4559 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8055 loss: 0.8055 2022/08/04 03:11:41 - mmengine - INFO - Epoch(train) [241][300/1879] lr: 1.0000e-04 eta: 2:22:03 time: 0.2912 data_time: 0.0292 memory: 8198 grad_norm: 7.3258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8842 loss: 0.8842 2022/08/04 03:11:47 - mmengine - INFO - Epoch(train) [241][320/1879] lr: 1.0000e-04 eta: 2:21:58 time: 0.2933 data_time: 0.0230 memory: 8198 grad_norm: 7.3683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8379 loss: 0.8379 2022/08/04 03:11:53 - mmengine - INFO - Epoch(train) [241][340/1879] lr: 1.0000e-04 eta: 2:21:52 time: 0.2856 data_time: 0.0269 memory: 8198 grad_norm: 7.4962 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/08/04 03:11:59 - mmengine - INFO - Epoch(train) [241][360/1879] lr: 1.0000e-04 eta: 2:21:46 time: 0.2898 data_time: 0.0188 memory: 8198 grad_norm: 7.2934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8512 loss: 0.8512 2022/08/04 03:12:05 - mmengine - INFO - Epoch(train) [241][380/1879] lr: 1.0000e-04 eta: 2:21:40 time: 0.2855 data_time: 0.0234 memory: 8198 grad_norm: 7.3066 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/08/04 03:12:10 - mmengine - INFO - Epoch(train) [241][400/1879] lr: 1.0000e-04 eta: 2:21:35 time: 0.2934 data_time: 0.0219 memory: 8198 grad_norm: 7.1791 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0374 loss: 1.0374 2022/08/04 03:12:16 - mmengine - INFO - Epoch(train) [241][420/1879] lr: 1.0000e-04 eta: 2:21:29 time: 0.2931 data_time: 0.0282 memory: 8198 grad_norm: 7.2175 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9113 loss: 0.9113 2022/08/04 03:12:22 - mmengine - INFO - Epoch(train) [241][440/1879] lr: 1.0000e-04 eta: 2:21:23 time: 0.2855 data_time: 0.0224 memory: 8198 grad_norm: 7.4831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9167 loss: 0.9167 2022/08/04 03:12:28 - mmengine - INFO - Epoch(train) [241][460/1879] lr: 1.0000e-04 eta: 2:21:18 time: 0.3006 data_time: 0.0225 memory: 8198 grad_norm: 7.3996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8753 loss: 0.8753 2022/08/04 03:12:34 - mmengine - INFO - Epoch(train) [241][480/1879] lr: 1.0000e-04 eta: 2:21:12 time: 0.2802 data_time: 0.0210 memory: 8198 grad_norm: 7.2732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9582 loss: 0.9582 2022/08/04 03:12:40 - mmengine - INFO - Epoch(train) [241][500/1879] lr: 1.0000e-04 eta: 2:21:06 time: 0.2898 data_time: 0.0252 memory: 8198 grad_norm: 7.4118 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9844 loss: 0.9844 2022/08/04 03:12:45 - mmengine - INFO - Epoch(train) [241][520/1879] lr: 1.0000e-04 eta: 2:21:00 time: 0.2841 data_time: 0.0193 memory: 8198 grad_norm: 7.4139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9232 loss: 0.9232 2022/08/04 03:12:51 - mmengine - INFO - Epoch(train) [241][540/1879] lr: 1.0000e-04 eta: 2:20:55 time: 0.3026 data_time: 0.0195 memory: 8198 grad_norm: 7.2516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9743 loss: 0.9743 2022/08/04 03:12:57 - mmengine - INFO - Epoch(train) [241][560/1879] lr: 1.0000e-04 eta: 2:20:49 time: 0.2908 data_time: 0.0243 memory: 8198 grad_norm: 7.2295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9048 loss: 0.9048 2022/08/04 03:13:03 - mmengine - INFO - Epoch(train) [241][580/1879] lr: 1.0000e-04 eta: 2:20:43 time: 0.2894 data_time: 0.0283 memory: 8198 grad_norm: 7.3861 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9909 loss: 0.9909 2022/08/04 03:13:09 - mmengine - INFO - Epoch(train) [241][600/1879] lr: 1.0000e-04 eta: 2:20:38 time: 0.2897 data_time: 0.0165 memory: 8198 grad_norm: 7.2884 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0270 loss: 1.0270 2022/08/04 03:13:15 - mmengine - INFO - Epoch(train) [241][620/1879] lr: 1.0000e-04 eta: 2:20:32 time: 0.2852 data_time: 0.0213 memory: 8198 grad_norm: 7.5946 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0243 loss: 1.0243 2022/08/04 03:13:20 - mmengine - INFO - Epoch(train) [241][640/1879] lr: 1.0000e-04 eta: 2:20:26 time: 0.2876 data_time: 0.0219 memory: 8198 grad_norm: 7.2776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/08/04 03:13:26 - mmengine - INFO - Epoch(train) [241][660/1879] lr: 1.0000e-04 eta: 2:20:20 time: 0.2955 data_time: 0.0256 memory: 8198 grad_norm: 7.3472 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/08/04 03:13:32 - mmengine - INFO - Epoch(train) [241][680/1879] lr: 1.0000e-04 eta: 2:20:15 time: 0.2838 data_time: 0.0211 memory: 8198 grad_norm: 7.2930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9871 loss: 0.9871 2022/08/04 03:13:38 - mmengine - INFO - Epoch(train) [241][700/1879] lr: 1.0000e-04 eta: 2:20:09 time: 0.2889 data_time: 0.0205 memory: 8198 grad_norm: 7.1682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1456 loss: 1.1456 2022/08/04 03:13:44 - mmengine - INFO - Epoch(train) [241][720/1879] lr: 1.0000e-04 eta: 2:20:03 time: 0.2904 data_time: 0.0261 memory: 8198 grad_norm: 7.5723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/08/04 03:13:50 - mmengine - INFO - Epoch(train) [241][740/1879] lr: 1.0000e-04 eta: 2:19:57 time: 0.2940 data_time: 0.0245 memory: 8198 grad_norm: 7.2678 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8468 loss: 0.8468 2022/08/04 03:13:55 - mmengine - INFO - Epoch(train) [241][760/1879] lr: 1.0000e-04 eta: 2:19:52 time: 0.2857 data_time: 0.0259 memory: 8198 grad_norm: 7.5175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0619 loss: 1.0619 2022/08/04 03:14:01 - mmengine - INFO - Epoch(train) [241][780/1879] lr: 1.0000e-04 eta: 2:19:46 time: 0.2866 data_time: 0.0231 memory: 8198 grad_norm: 7.3623 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9298 loss: 0.9298 2022/08/04 03:14:08 - mmengine - INFO - Epoch(train) [241][800/1879] lr: 1.0000e-04 eta: 2:19:40 time: 0.3334 data_time: 0.0243 memory: 8198 grad_norm: 7.5809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9965 loss: 0.9965 2022/08/04 03:14:14 - mmengine - INFO - Epoch(train) [241][820/1879] lr: 1.0000e-04 eta: 2:19:35 time: 0.2856 data_time: 0.0205 memory: 8198 grad_norm: 7.4834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9936 loss: 0.9936 2022/08/04 03:14:19 - mmengine - INFO - Epoch(train) [241][840/1879] lr: 1.0000e-04 eta: 2:19:29 time: 0.2908 data_time: 0.0243 memory: 8198 grad_norm: 7.5344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0282 loss: 1.0282 2022/08/04 03:14:25 - mmengine - INFO - Epoch(train) [241][860/1879] lr: 1.0000e-04 eta: 2:19:23 time: 0.2867 data_time: 0.0221 memory: 8198 grad_norm: 7.2831 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8519 loss: 0.8519 2022/08/04 03:14:31 - mmengine - INFO - Epoch(train) [241][880/1879] lr: 1.0000e-04 eta: 2:19:17 time: 0.2866 data_time: 0.0230 memory: 8198 grad_norm: 7.4244 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/04 03:14:37 - mmengine - INFO - Epoch(train) [241][900/1879] lr: 1.0000e-04 eta: 2:19:12 time: 0.2952 data_time: 0.0200 memory: 8198 grad_norm: 7.5391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9806 loss: 0.9806 2022/08/04 03:14:43 - mmengine - INFO - Epoch(train) [241][920/1879] lr: 1.0000e-04 eta: 2:19:06 time: 0.2867 data_time: 0.0207 memory: 8198 grad_norm: 7.4841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7981 loss: 0.7981 2022/08/04 03:14:48 - mmengine - INFO - Epoch(train) [241][940/1879] lr: 1.0000e-04 eta: 2:19:00 time: 0.2869 data_time: 0.0219 memory: 8198 grad_norm: 7.3927 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8303 loss: 0.8303 2022/08/04 03:14:54 - mmengine - INFO - Epoch(train) [241][960/1879] lr: 1.0000e-04 eta: 2:18:55 time: 0.2867 data_time: 0.0189 memory: 8198 grad_norm: 7.6677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8671 loss: 0.8671 2022/08/04 03:15:00 - mmengine - INFO - Epoch(train) [241][980/1879] lr: 1.0000e-04 eta: 2:18:49 time: 0.2906 data_time: 0.0253 memory: 8198 grad_norm: 7.2200 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8929 loss: 0.8929 2022/08/04 03:15:06 - mmengine - INFO - Epoch(train) [241][1000/1879] lr: 1.0000e-04 eta: 2:18:43 time: 0.2900 data_time: 0.0208 memory: 8198 grad_norm: 7.4287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8688 loss: 0.8688 2022/08/04 03:15:12 - mmengine - INFO - Epoch(train) [241][1020/1879] lr: 1.0000e-04 eta: 2:18:37 time: 0.3050 data_time: 0.0249 memory: 8198 grad_norm: 7.2599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/08/04 03:15:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:15:18 - mmengine - INFO - Epoch(train) [241][1040/1879] lr: 1.0000e-04 eta: 2:18:32 time: 0.2888 data_time: 0.0259 memory: 8198 grad_norm: 7.5058 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9308 loss: 0.9308 2022/08/04 03:15:24 - mmengine - INFO - Epoch(train) [241][1060/1879] lr: 1.0000e-04 eta: 2:18:26 time: 0.2916 data_time: 0.0264 memory: 8198 grad_norm: 7.4612 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8445 loss: 0.8445 2022/08/04 03:15:29 - mmengine - INFO - Epoch(train) [241][1080/1879] lr: 1.0000e-04 eta: 2:18:20 time: 0.2885 data_time: 0.0234 memory: 8198 grad_norm: 7.3871 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9541 loss: 0.9541 2022/08/04 03:15:35 - mmengine - INFO - Epoch(train) [241][1100/1879] lr: 1.0000e-04 eta: 2:18:15 time: 0.2948 data_time: 0.0233 memory: 8198 grad_norm: 7.2261 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9126 loss: 0.9126 2022/08/04 03:15:41 - mmengine - INFO - Epoch(train) [241][1120/1879] lr: 1.0000e-04 eta: 2:18:09 time: 0.2904 data_time: 0.0213 memory: 8198 grad_norm: 7.5048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/08/04 03:15:47 - mmengine - INFO - Epoch(train) [241][1140/1879] lr: 1.0000e-04 eta: 2:18:03 time: 0.2901 data_time: 0.0273 memory: 8198 grad_norm: 7.5820 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9628 loss: 0.9628 2022/08/04 03:15:53 - mmengine - INFO - Epoch(train) [241][1160/1879] lr: 1.0000e-04 eta: 2:17:57 time: 0.2879 data_time: 0.0280 memory: 8198 grad_norm: 7.2651 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0355 loss: 1.0355 2022/08/04 03:15:59 - mmengine - INFO - Epoch(train) [241][1180/1879] lr: 1.0000e-04 eta: 2:17:52 time: 0.2897 data_time: 0.0209 memory: 8198 grad_norm: 7.2145 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9838 loss: 0.9838 2022/08/04 03:16:04 - mmengine - INFO - Epoch(train) [241][1200/1879] lr: 1.0000e-04 eta: 2:17:46 time: 0.2870 data_time: 0.0222 memory: 8198 grad_norm: 7.3037 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9773 loss: 0.9773 2022/08/04 03:16:10 - mmengine - INFO - Epoch(train) [241][1220/1879] lr: 1.0000e-04 eta: 2:17:40 time: 0.2960 data_time: 0.0251 memory: 8198 grad_norm: 7.7015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9681 loss: 0.9681 2022/08/04 03:16:16 - mmengine - INFO - Epoch(train) [241][1240/1879] lr: 1.0000e-04 eta: 2:17:34 time: 0.2850 data_time: 0.0198 memory: 8198 grad_norm: 7.1709 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0010 loss: 1.0010 2022/08/04 03:16:22 - mmengine - INFO - Epoch(train) [241][1260/1879] lr: 1.0000e-04 eta: 2:17:29 time: 0.2870 data_time: 0.0203 memory: 8198 grad_norm: 7.2070 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9065 loss: 0.9065 2022/08/04 03:16:28 - mmengine - INFO - Epoch(train) [241][1280/1879] lr: 1.0000e-04 eta: 2:17:23 time: 0.2974 data_time: 0.0266 memory: 8198 grad_norm: 7.6478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9044 loss: 0.9044 2022/08/04 03:16:34 - mmengine - INFO - Epoch(train) [241][1300/1879] lr: 1.0000e-04 eta: 2:17:17 time: 0.2845 data_time: 0.0197 memory: 8198 grad_norm: 7.4446 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/08/04 03:16:39 - mmengine - INFO - Epoch(train) [241][1320/1879] lr: 1.0000e-04 eta: 2:17:12 time: 0.2845 data_time: 0.0187 memory: 8198 grad_norm: 7.5541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8486 loss: 0.8486 2022/08/04 03:16:45 - mmengine - INFO - Epoch(train) [241][1340/1879] lr: 1.0000e-04 eta: 2:17:06 time: 0.2873 data_time: 0.0216 memory: 8198 grad_norm: 7.6064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/08/04 03:16:51 - mmengine - INFO - Epoch(train) [241][1360/1879] lr: 1.0000e-04 eta: 2:17:00 time: 0.2971 data_time: 0.0263 memory: 8198 grad_norm: 7.4248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9994 loss: 0.9994 2022/08/04 03:16:57 - mmengine - INFO - Epoch(train) [241][1380/1879] lr: 1.0000e-04 eta: 2:16:54 time: 0.2847 data_time: 0.0234 memory: 8198 grad_norm: 7.2389 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8472 loss: 0.8472 2022/08/04 03:17:03 - mmengine - INFO - Epoch(train) [241][1400/1879] lr: 1.0000e-04 eta: 2:16:49 time: 0.2881 data_time: 0.0220 memory: 8198 grad_norm: 7.3416 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0605 loss: 1.0605 2022/08/04 03:17:09 - mmengine - INFO - Epoch(train) [241][1420/1879] lr: 1.0000e-04 eta: 2:16:43 time: 0.3016 data_time: 0.0295 memory: 8198 grad_norm: 7.5621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0774 loss: 1.0774 2022/08/04 03:17:14 - mmengine - INFO - Epoch(train) [241][1440/1879] lr: 1.0000e-04 eta: 2:16:37 time: 0.2851 data_time: 0.0251 memory: 8198 grad_norm: 7.2647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8235 loss: 0.8235 2022/08/04 03:17:20 - mmengine - INFO - Epoch(train) [241][1460/1879] lr: 1.0000e-04 eta: 2:16:31 time: 0.2886 data_time: 0.0196 memory: 8198 grad_norm: 7.2887 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8536 loss: 0.8536 2022/08/04 03:17:26 - mmengine - INFO - Epoch(train) [241][1480/1879] lr: 1.0000e-04 eta: 2:16:26 time: 0.2855 data_time: 0.0221 memory: 8198 grad_norm: 7.4816 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0635 loss: 1.0635 2022/08/04 03:17:32 - mmengine - INFO - Epoch(train) [241][1500/1879] lr: 1.0000e-04 eta: 2:16:20 time: 0.2944 data_time: 0.0221 memory: 8198 grad_norm: 7.1096 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7140 loss: 0.7140 2022/08/04 03:17:38 - mmengine - INFO - Epoch(train) [241][1520/1879] lr: 1.0000e-04 eta: 2:16:14 time: 0.2897 data_time: 0.0255 memory: 8198 grad_norm: 7.2639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7943 loss: 0.7943 2022/08/04 03:17:43 - mmengine - INFO - Epoch(train) [241][1540/1879] lr: 1.0000e-04 eta: 2:16:09 time: 0.2847 data_time: 0.0239 memory: 8198 grad_norm: 7.6412 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7714 loss: 0.7714 2022/08/04 03:17:49 - mmengine - INFO - Epoch(train) [241][1560/1879] lr: 1.0000e-04 eta: 2:16:03 time: 0.2951 data_time: 0.0200 memory: 8198 grad_norm: 7.2330 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8391 loss: 0.8391 2022/08/04 03:17:55 - mmengine - INFO - Epoch(train) [241][1580/1879] lr: 1.0000e-04 eta: 2:15:57 time: 0.2852 data_time: 0.0214 memory: 8198 grad_norm: 7.4033 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8044 loss: 0.8044 2022/08/04 03:18:01 - mmengine - INFO - Epoch(train) [241][1600/1879] lr: 1.0000e-04 eta: 2:15:51 time: 0.2849 data_time: 0.0240 memory: 8198 grad_norm: 7.0099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9276 loss: 0.9276 2022/08/04 03:18:07 - mmengine - INFO - Epoch(train) [241][1620/1879] lr: 1.0000e-04 eta: 2:15:46 time: 0.2985 data_time: 0.0274 memory: 8198 grad_norm: 7.5706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/08/04 03:18:13 - mmengine - INFO - Epoch(train) [241][1640/1879] lr: 1.0000e-04 eta: 2:15:40 time: 0.2871 data_time: 0.0199 memory: 8198 grad_norm: 7.3295 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8788 loss: 0.8788 2022/08/04 03:18:18 - mmengine - INFO - Epoch(train) [241][1660/1879] lr: 1.0000e-04 eta: 2:15:34 time: 0.2868 data_time: 0.0247 memory: 8198 grad_norm: 7.4111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0381 loss: 1.0381 2022/08/04 03:18:24 - mmengine - INFO - Epoch(train) [241][1680/1879] lr: 1.0000e-04 eta: 2:15:29 time: 0.2863 data_time: 0.0201 memory: 8198 grad_norm: 7.3415 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0100 loss: 1.0100 2022/08/04 03:18:30 - mmengine - INFO - Epoch(train) [241][1700/1879] lr: 1.0000e-04 eta: 2:15:23 time: 0.2959 data_time: 0.0227 memory: 8198 grad_norm: 7.3895 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9627 loss: 0.9627 2022/08/04 03:18:36 - mmengine - INFO - Epoch(train) [241][1720/1879] lr: 1.0000e-04 eta: 2:15:17 time: 0.2864 data_time: 0.0242 memory: 8198 grad_norm: 7.2399 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9905 loss: 0.9905 2022/08/04 03:18:42 - mmengine - INFO - Epoch(train) [241][1740/1879] lr: 1.0000e-04 eta: 2:15:11 time: 0.2862 data_time: 0.0186 memory: 8198 grad_norm: 7.4877 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9149 loss: 0.9149 2022/08/04 03:18:47 - mmengine - INFO - Epoch(train) [241][1760/1879] lr: 1.0000e-04 eta: 2:15:06 time: 0.2886 data_time: 0.0201 memory: 8198 grad_norm: 7.4591 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9557 loss: 0.9557 2022/08/04 03:18:53 - mmengine - INFO - Epoch(train) [241][1780/1879] lr: 1.0000e-04 eta: 2:15:00 time: 0.2853 data_time: 0.0222 memory: 8198 grad_norm: 7.5949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1341 loss: 1.1341 2022/08/04 03:18:59 - mmengine - INFO - Epoch(train) [241][1800/1879] lr: 1.0000e-04 eta: 2:14:54 time: 0.2872 data_time: 0.0185 memory: 8198 grad_norm: 7.4814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8246 loss: 0.8246 2022/08/04 03:19:05 - mmengine - INFO - Epoch(train) [241][1820/1879] lr: 1.0000e-04 eta: 2:14:48 time: 0.2856 data_time: 0.0254 memory: 8198 grad_norm: 7.2908 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9781 loss: 0.9781 2022/08/04 03:19:11 - mmengine - INFO - Epoch(train) [241][1840/1879] lr: 1.0000e-04 eta: 2:14:43 time: 0.2960 data_time: 0.0194 memory: 8198 grad_norm: 7.3078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9293 loss: 0.9293 2022/08/04 03:19:16 - mmengine - INFO - Epoch(train) [241][1860/1879] lr: 1.0000e-04 eta: 2:14:37 time: 0.2864 data_time: 0.0200 memory: 8198 grad_norm: 7.3133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0175 loss: 1.0175 2022/08/04 03:19:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:19:21 - mmengine - INFO - Epoch(train) [241][1879/1879] lr: 1.0000e-04 eta: 2:14:37 time: 0.2629 data_time: 0.0219 memory: 8198 grad_norm: 7.1544 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9419 loss: 0.9419 2022/08/04 03:19:30 - mmengine - INFO - Epoch(train) [242][20/1879] lr: 1.0000e-04 eta: 2:14:26 time: 0.4424 data_time: 0.1179 memory: 8198 grad_norm: 7.7085 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/04 03:19:36 - mmengine - INFO - Epoch(train) [242][40/1879] lr: 1.0000e-04 eta: 2:14:20 time: 0.2872 data_time: 0.0195 memory: 8198 grad_norm: 7.3269 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8707 loss: 0.8707 2022/08/04 03:19:42 - mmengine - INFO - Epoch(train) [242][60/1879] lr: 1.0000e-04 eta: 2:14:14 time: 0.2908 data_time: 0.0195 memory: 8198 grad_norm: 7.3242 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9738 loss: 0.9738 2022/08/04 03:19:48 - mmengine - INFO - Epoch(train) [242][80/1879] lr: 1.0000e-04 eta: 2:14:08 time: 0.2879 data_time: 0.0217 memory: 8198 grad_norm: 7.5234 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/04 03:19:53 - mmengine - INFO - Epoch(train) [242][100/1879] lr: 1.0000e-04 eta: 2:14:03 time: 0.2885 data_time: 0.0268 memory: 8198 grad_norm: 7.2516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9210 loss: 0.9210 2022/08/04 03:19:59 - mmengine - INFO - Epoch(train) [242][120/1879] lr: 1.0000e-04 eta: 2:13:57 time: 0.2905 data_time: 0.0239 memory: 8198 grad_norm: 7.5462 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8587 loss: 0.8587 2022/08/04 03:20:05 - mmengine - INFO - Epoch(train) [242][140/1879] lr: 1.0000e-04 eta: 2:13:51 time: 0.2858 data_time: 0.0205 memory: 8198 grad_norm: 7.5003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8243 loss: 0.8243 2022/08/04 03:20:11 - mmengine - INFO - Epoch(train) [242][160/1879] lr: 1.0000e-04 eta: 2:13:46 time: 0.2884 data_time: 0.0228 memory: 8198 grad_norm: 7.2771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8134 loss: 0.8134 2022/08/04 03:20:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:20:17 - mmengine - INFO - Epoch(train) [242][180/1879] lr: 1.0000e-04 eta: 2:13:40 time: 0.2900 data_time: 0.0222 memory: 8198 grad_norm: 7.4743 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9471 loss: 0.9471 2022/08/04 03:20:22 - mmengine - INFO - Epoch(train) [242][200/1879] lr: 1.0000e-04 eta: 2:13:34 time: 0.2891 data_time: 0.0201 memory: 8198 grad_norm: 7.2349 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1325 loss: 1.1325 2022/08/04 03:20:28 - mmengine - INFO - Epoch(train) [242][220/1879] lr: 1.0000e-04 eta: 2:13:28 time: 0.2930 data_time: 0.0263 memory: 8198 grad_norm: 7.3181 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9144 loss: 0.9144 2022/08/04 03:20:34 - mmengine - INFO - Epoch(train) [242][240/1879] lr: 1.0000e-04 eta: 2:13:23 time: 0.2859 data_time: 0.0241 memory: 8198 grad_norm: 7.2294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8618 loss: 0.8618 2022/08/04 03:20:40 - mmengine - INFO - Epoch(train) [242][260/1879] lr: 1.0000e-04 eta: 2:13:17 time: 0.2854 data_time: 0.0251 memory: 8198 grad_norm: 7.2298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0647 loss: 1.0647 2022/08/04 03:20:46 - mmengine - INFO - Epoch(train) [242][280/1879] lr: 1.0000e-04 eta: 2:13:11 time: 0.2891 data_time: 0.0247 memory: 8198 grad_norm: 7.3884 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9700 loss: 0.9700 2022/08/04 03:20:51 - mmengine - INFO - Epoch(train) [242][300/1879] lr: 1.0000e-04 eta: 2:13:06 time: 0.2870 data_time: 0.0200 memory: 8198 grad_norm: 7.2575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9202 loss: 0.9202 2022/08/04 03:20:57 - mmengine - INFO - Epoch(train) [242][320/1879] lr: 1.0000e-04 eta: 2:13:00 time: 0.2917 data_time: 0.0244 memory: 8198 grad_norm: 7.3408 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9149 loss: 0.9149 2022/08/04 03:21:03 - mmengine - INFO - Epoch(train) [242][340/1879] lr: 1.0000e-04 eta: 2:12:54 time: 0.2849 data_time: 0.0223 memory: 8198 grad_norm: 7.1208 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8917 loss: 0.8917 2022/08/04 03:21:09 - mmengine - INFO - Epoch(train) [242][360/1879] lr: 1.0000e-04 eta: 2:12:48 time: 0.2859 data_time: 0.0190 memory: 8198 grad_norm: 7.4096 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9250 loss: 0.9250 2022/08/04 03:21:15 - mmengine - INFO - Epoch(train) [242][380/1879] lr: 1.0000e-04 eta: 2:12:43 time: 0.2861 data_time: 0.0202 memory: 8198 grad_norm: 7.4901 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1037 loss: 1.1037 2022/08/04 03:21:20 - mmengine - INFO - Epoch(train) [242][400/1879] lr: 1.0000e-04 eta: 2:12:37 time: 0.2926 data_time: 0.0326 memory: 8198 grad_norm: 7.3642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0613 loss: 1.0613 2022/08/04 03:21:26 - mmengine - INFO - Epoch(train) [242][420/1879] lr: 1.0000e-04 eta: 2:12:31 time: 0.2868 data_time: 0.0226 memory: 8198 grad_norm: 7.4918 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0266 loss: 1.0266 2022/08/04 03:21:32 - mmengine - INFO - Epoch(train) [242][440/1879] lr: 1.0000e-04 eta: 2:12:25 time: 0.2951 data_time: 0.0247 memory: 8198 grad_norm: 7.4318 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8498 loss: 0.8498 2022/08/04 03:21:38 - mmengine - INFO - Epoch(train) [242][460/1879] lr: 1.0000e-04 eta: 2:12:20 time: 0.2974 data_time: 0.0273 memory: 8198 grad_norm: 7.3569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/08/04 03:21:44 - mmengine - INFO - Epoch(train) [242][480/1879] lr: 1.0000e-04 eta: 2:12:14 time: 0.2843 data_time: 0.0219 memory: 8198 grad_norm: 7.5482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0467 loss: 1.0467 2022/08/04 03:21:50 - mmengine - INFO - Epoch(train) [242][500/1879] lr: 1.0000e-04 eta: 2:12:08 time: 0.2881 data_time: 0.0227 memory: 8198 grad_norm: 7.1999 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9722 loss: 0.9722 2022/08/04 03:21:55 - mmengine - INFO - Epoch(train) [242][520/1879] lr: 1.0000e-04 eta: 2:12:03 time: 0.2904 data_time: 0.0248 memory: 8198 grad_norm: 7.2384 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0219 loss: 1.0219 2022/08/04 03:22:01 - mmengine - INFO - Epoch(train) [242][540/1879] lr: 1.0000e-04 eta: 2:11:57 time: 0.2857 data_time: 0.0215 memory: 8198 grad_norm: 7.2999 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8285 loss: 0.8285 2022/08/04 03:22:07 - mmengine - INFO - Epoch(train) [242][560/1879] lr: 1.0000e-04 eta: 2:11:51 time: 0.2884 data_time: 0.0194 memory: 8198 grad_norm: 7.1388 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.8956 loss: 0.8956 2022/08/04 03:22:13 - mmengine - INFO - Epoch(train) [242][580/1879] lr: 1.0000e-04 eta: 2:11:45 time: 0.2875 data_time: 0.0248 memory: 8198 grad_norm: 7.3703 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/08/04 03:22:19 - mmengine - INFO - Epoch(train) [242][600/1879] lr: 1.0000e-04 eta: 2:11:40 time: 0.2875 data_time: 0.0254 memory: 8198 grad_norm: 7.4775 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8296 loss: 0.8296 2022/08/04 03:22:24 - mmengine - INFO - Epoch(train) [242][620/1879] lr: 1.0000e-04 eta: 2:11:34 time: 0.2868 data_time: 0.0252 memory: 8198 grad_norm: 7.5983 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/08/04 03:22:30 - mmengine - INFO - Epoch(train) [242][640/1879] lr: 1.0000e-04 eta: 2:11:28 time: 0.3004 data_time: 0.0228 memory: 8198 grad_norm: 7.2357 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9274 loss: 0.9274 2022/08/04 03:22:36 - mmengine - INFO - Epoch(train) [242][660/1879] lr: 1.0000e-04 eta: 2:11:22 time: 0.2848 data_time: 0.0212 memory: 8198 grad_norm: 7.3353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/04 03:22:42 - mmengine - INFO - Epoch(train) [242][680/1879] lr: 1.0000e-04 eta: 2:11:17 time: 0.2886 data_time: 0.0261 memory: 8198 grad_norm: 7.3618 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1373 loss: 1.1373 2022/08/04 03:22:48 - mmengine - INFO - Epoch(train) [242][700/1879] lr: 1.0000e-04 eta: 2:11:11 time: 0.2930 data_time: 0.0208 memory: 8198 grad_norm: 7.4092 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0031 loss: 1.0031 2022/08/04 03:22:54 - mmengine - INFO - Epoch(train) [242][720/1879] lr: 1.0000e-04 eta: 2:11:05 time: 0.2870 data_time: 0.0235 memory: 8198 grad_norm: 7.3742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0657 loss: 1.0657 2022/08/04 03:22:59 - mmengine - INFO - Epoch(train) [242][740/1879] lr: 1.0000e-04 eta: 2:11:00 time: 0.2936 data_time: 0.0210 memory: 8198 grad_norm: 7.0036 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8092 loss: 0.8092 2022/08/04 03:23:05 - mmengine - INFO - Epoch(train) [242][760/1879] lr: 1.0000e-04 eta: 2:10:54 time: 0.2853 data_time: 0.0220 memory: 8198 grad_norm: 7.5576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/04 03:23:11 - mmengine - INFO - Epoch(train) [242][780/1879] lr: 1.0000e-04 eta: 2:10:48 time: 0.2925 data_time: 0.0241 memory: 8198 grad_norm: 7.3693 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8491 loss: 0.8491 2022/08/04 03:23:17 - mmengine - INFO - Epoch(train) [242][800/1879] lr: 1.0000e-04 eta: 2:10:42 time: 0.2843 data_time: 0.0201 memory: 8198 grad_norm: 7.4071 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9037 loss: 0.9037 2022/08/04 03:23:23 - mmengine - INFO - Epoch(train) [242][820/1879] lr: 1.0000e-04 eta: 2:10:37 time: 0.2890 data_time: 0.0217 memory: 8198 grad_norm: 7.2634 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9098 loss: 0.9098 2022/08/04 03:23:28 - mmengine - INFO - Epoch(train) [242][840/1879] lr: 1.0000e-04 eta: 2:10:31 time: 0.2866 data_time: 0.0213 memory: 8198 grad_norm: 7.5160 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9292 loss: 0.9292 2022/08/04 03:23:34 - mmengine - INFO - Epoch(train) [242][860/1879] lr: 1.0000e-04 eta: 2:10:25 time: 0.2891 data_time: 0.0284 memory: 8198 grad_norm: 7.4101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0914 loss: 1.0914 2022/08/04 03:23:40 - mmengine - INFO - Epoch(train) [242][880/1879] lr: 1.0000e-04 eta: 2:10:20 time: 0.2888 data_time: 0.0229 memory: 8198 grad_norm: 7.1303 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/04 03:23:46 - mmengine - INFO - Epoch(train) [242][900/1879] lr: 1.0000e-04 eta: 2:10:14 time: 0.2870 data_time: 0.0251 memory: 8198 grad_norm: 7.5023 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0562 loss: 1.0562 2022/08/04 03:23:52 - mmengine - INFO - Epoch(train) [242][920/1879] lr: 1.0000e-04 eta: 2:10:08 time: 0.2956 data_time: 0.0313 memory: 8198 grad_norm: 7.3822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/08/04 03:23:57 - mmengine - INFO - Epoch(train) [242][940/1879] lr: 1.0000e-04 eta: 2:10:02 time: 0.2879 data_time: 0.0203 memory: 8198 grad_norm: 7.1220 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8257 loss: 0.8257 2022/08/04 03:24:03 - mmengine - INFO - Epoch(train) [242][960/1879] lr: 1.0000e-04 eta: 2:09:57 time: 0.2877 data_time: 0.0211 memory: 8198 grad_norm: 7.5985 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8896 loss: 0.8896 2022/08/04 03:24:09 - mmengine - INFO - Epoch(train) [242][980/1879] lr: 1.0000e-04 eta: 2:09:51 time: 0.2950 data_time: 0.0198 memory: 8198 grad_norm: 7.4795 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/04 03:24:15 - mmengine - INFO - Epoch(train) [242][1000/1879] lr: 1.0000e-04 eta: 2:09:45 time: 0.2877 data_time: 0.0257 memory: 8198 grad_norm: 7.3251 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9064 loss: 0.9064 2022/08/04 03:24:21 - mmengine - INFO - Epoch(train) [242][1020/1879] lr: 1.0000e-04 eta: 2:09:39 time: 0.2842 data_time: 0.0216 memory: 8198 grad_norm: 7.6692 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9472 loss: 0.9472 2022/08/04 03:24:26 - mmengine - INFO - Epoch(train) [242][1040/1879] lr: 1.0000e-04 eta: 2:09:34 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 7.5520 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8212 loss: 0.8212 2022/08/04 03:24:32 - mmengine - INFO - Epoch(train) [242][1060/1879] lr: 1.0000e-04 eta: 2:09:28 time: 0.2887 data_time: 0.0231 memory: 8198 grad_norm: 7.6923 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9415 loss: 0.9415 2022/08/04 03:24:38 - mmengine - INFO - Epoch(train) [242][1080/1879] lr: 1.0000e-04 eta: 2:09:22 time: 0.2909 data_time: 0.0232 memory: 8198 grad_norm: 7.4091 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8492 loss: 0.8492 2022/08/04 03:24:44 - mmengine - INFO - Epoch(train) [242][1100/1879] lr: 1.0000e-04 eta: 2:09:17 time: 0.2939 data_time: 0.0225 memory: 8198 grad_norm: 7.3073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/08/04 03:24:50 - mmengine - INFO - Epoch(train) [242][1120/1879] lr: 1.0000e-04 eta: 2:09:11 time: 0.2873 data_time: 0.0210 memory: 8198 grad_norm: 7.5197 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7233 loss: 0.7233 2022/08/04 03:24:56 - mmengine - INFO - Epoch(train) [242][1140/1879] lr: 1.0000e-04 eta: 2:09:05 time: 0.2894 data_time: 0.0262 memory: 8198 grad_norm: 7.3069 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8487 loss: 0.8487 2022/08/04 03:25:01 - mmengine - INFO - Epoch(train) [242][1160/1879] lr: 1.0000e-04 eta: 2:08:59 time: 0.2892 data_time: 0.0265 memory: 8198 grad_norm: 7.0361 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8272 loss: 0.8272 2022/08/04 03:25:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:25:07 - mmengine - INFO - Epoch(train) [242][1180/1879] lr: 1.0000e-04 eta: 2:08:54 time: 0.2863 data_time: 0.0253 memory: 8198 grad_norm: 7.3122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8638 loss: 0.8638 2022/08/04 03:25:13 - mmengine - INFO - Epoch(train) [242][1200/1879] lr: 1.0000e-04 eta: 2:08:48 time: 0.2853 data_time: 0.0182 memory: 8198 grad_norm: 7.4983 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8804 loss: 0.8804 2022/08/04 03:25:20 - mmengine - INFO - Epoch(train) [242][1220/1879] lr: 1.0000e-04 eta: 2:08:42 time: 0.3343 data_time: 0.0450 memory: 8198 grad_norm: 7.4576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9953 loss: 0.9953 2022/08/04 03:25:25 - mmengine - INFO - Epoch(train) [242][1240/1879] lr: 1.0000e-04 eta: 2:08:37 time: 0.2855 data_time: 0.0219 memory: 8198 grad_norm: 7.4120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9521 loss: 0.9521 2022/08/04 03:25:31 - mmengine - INFO - Epoch(train) [242][1260/1879] lr: 1.0000e-04 eta: 2:08:31 time: 0.2902 data_time: 0.0245 memory: 8198 grad_norm: 7.7182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/08/04 03:25:37 - mmengine - INFO - Epoch(train) [242][1280/1879] lr: 1.0000e-04 eta: 2:08:25 time: 0.2837 data_time: 0.0194 memory: 8198 grad_norm: 7.3931 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8746 loss: 0.8746 2022/08/04 03:25:43 - mmengine - INFO - Epoch(train) [242][1300/1879] lr: 1.0000e-04 eta: 2:08:19 time: 0.2918 data_time: 0.0248 memory: 8198 grad_norm: 7.5001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/08/04 03:25:49 - mmengine - INFO - Epoch(train) [242][1320/1879] lr: 1.0000e-04 eta: 2:08:14 time: 0.2907 data_time: 0.0194 memory: 8198 grad_norm: 7.4575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8784 loss: 0.8784 2022/08/04 03:25:54 - mmengine - INFO - Epoch(train) [242][1340/1879] lr: 1.0000e-04 eta: 2:08:08 time: 0.2845 data_time: 0.0250 memory: 8198 grad_norm: 7.4149 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/08/04 03:26:00 - mmengine - INFO - Epoch(train) [242][1360/1879] lr: 1.0000e-04 eta: 2:08:02 time: 0.2867 data_time: 0.0262 memory: 8198 grad_norm: 7.2271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0132 loss: 1.0132 2022/08/04 03:26:06 - mmengine - INFO - Epoch(train) [242][1380/1879] lr: 1.0000e-04 eta: 2:07:56 time: 0.2866 data_time: 0.0244 memory: 8198 grad_norm: 7.0628 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9323 loss: 0.9323 2022/08/04 03:26:12 - mmengine - INFO - Epoch(train) [242][1400/1879] lr: 1.0000e-04 eta: 2:07:51 time: 0.2973 data_time: 0.0227 memory: 8198 grad_norm: 7.4769 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0400 loss: 1.0400 2022/08/04 03:26:18 - mmengine - INFO - Epoch(train) [242][1420/1879] lr: 1.0000e-04 eta: 2:07:45 time: 0.2935 data_time: 0.0255 memory: 8198 grad_norm: 7.3857 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9817 loss: 0.9817 2022/08/04 03:26:23 - mmengine - INFO - Epoch(train) [242][1440/1879] lr: 1.0000e-04 eta: 2:07:39 time: 0.2856 data_time: 0.0209 memory: 8198 grad_norm: 7.4416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9916 loss: 0.9916 2022/08/04 03:26:29 - mmengine - INFO - Epoch(train) [242][1460/1879] lr: 1.0000e-04 eta: 2:07:34 time: 0.2863 data_time: 0.0229 memory: 8198 grad_norm: 7.2693 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9492 loss: 0.9492 2022/08/04 03:26:35 - mmengine - INFO - Epoch(train) [242][1480/1879] lr: 1.0000e-04 eta: 2:07:28 time: 0.2870 data_time: 0.0252 memory: 8198 grad_norm: 7.4192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/08/04 03:26:41 - mmengine - INFO - Epoch(train) [242][1500/1879] lr: 1.0000e-04 eta: 2:07:22 time: 0.2963 data_time: 0.0288 memory: 8198 grad_norm: 7.3836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9743 loss: 0.9743 2022/08/04 03:26:47 - mmengine - INFO - Epoch(train) [242][1520/1879] lr: 1.0000e-04 eta: 2:07:16 time: 0.2858 data_time: 0.0176 memory: 8198 grad_norm: 7.3634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0448 loss: 1.0448 2022/08/04 03:26:53 - mmengine - INFO - Epoch(train) [242][1540/1879] lr: 1.0000e-04 eta: 2:07:11 time: 0.2913 data_time: 0.0180 memory: 8198 grad_norm: 7.3169 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0491 loss: 1.0491 2022/08/04 03:26:58 - mmengine - INFO - Epoch(train) [242][1560/1879] lr: 1.0000e-04 eta: 2:07:05 time: 0.2893 data_time: 0.0231 memory: 8198 grad_norm: 7.3665 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9638 loss: 0.9638 2022/08/04 03:27:04 - mmengine - INFO - Epoch(train) [242][1580/1879] lr: 1.0000e-04 eta: 2:06:59 time: 0.2923 data_time: 0.0260 memory: 8198 grad_norm: 7.4328 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8436 loss: 0.8436 2022/08/04 03:27:10 - mmengine - INFO - Epoch(train) [242][1600/1879] lr: 1.0000e-04 eta: 2:06:53 time: 0.2878 data_time: 0.0228 memory: 8198 grad_norm: 7.6017 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0520 loss: 1.0520 2022/08/04 03:27:16 - mmengine - INFO - Epoch(train) [242][1620/1879] lr: 1.0000e-04 eta: 2:06:48 time: 0.2867 data_time: 0.0243 memory: 8198 grad_norm: 7.2669 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9341 loss: 0.9341 2022/08/04 03:27:22 - mmengine - INFO - Epoch(train) [242][1640/1879] lr: 1.0000e-04 eta: 2:06:42 time: 0.3065 data_time: 0.0174 memory: 8198 grad_norm: 7.3664 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8233 loss: 0.8233 2022/08/04 03:27:28 - mmengine - INFO - Epoch(train) [242][1660/1879] lr: 1.0000e-04 eta: 2:06:36 time: 0.2885 data_time: 0.0214 memory: 8198 grad_norm: 7.1002 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9559 loss: 0.9559 2022/08/04 03:27:33 - mmengine - INFO - Epoch(train) [242][1680/1879] lr: 1.0000e-04 eta: 2:06:31 time: 0.2822 data_time: 0.0193 memory: 8198 grad_norm: 7.5208 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1037 loss: 1.1037 2022/08/04 03:27:39 - mmengine - INFO - Epoch(train) [242][1700/1879] lr: 1.0000e-04 eta: 2:06:25 time: 0.2951 data_time: 0.0255 memory: 8198 grad_norm: 7.4550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0544 loss: 1.0544 2022/08/04 03:27:45 - mmengine - INFO - Epoch(train) [242][1720/1879] lr: 1.0000e-04 eta: 2:06:19 time: 0.2966 data_time: 0.0226 memory: 8198 grad_norm: 7.2685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8785 loss: 0.8785 2022/08/04 03:27:51 - mmengine - INFO - Epoch(train) [242][1740/1879] lr: 1.0000e-04 eta: 2:06:13 time: 0.2859 data_time: 0.0213 memory: 8198 grad_norm: 7.3124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9280 loss: 0.9280 2022/08/04 03:27:57 - mmengine - INFO - Epoch(train) [242][1760/1879] lr: 1.0000e-04 eta: 2:06:08 time: 0.2860 data_time: 0.0239 memory: 8198 grad_norm: 7.5024 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8781 loss: 0.8781 2022/08/04 03:28:03 - mmengine - INFO - Epoch(train) [242][1780/1879] lr: 1.0000e-04 eta: 2:06:02 time: 0.3085 data_time: 0.0182 memory: 8198 grad_norm: 7.4913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7893 loss: 0.7893 2022/08/04 03:28:09 - mmengine - INFO - Epoch(train) [242][1800/1879] lr: 1.0000e-04 eta: 2:05:56 time: 0.2872 data_time: 0.0246 memory: 8198 grad_norm: 7.4569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9540 loss: 0.9540 2022/08/04 03:28:15 - mmengine - INFO - Epoch(train) [242][1820/1879] lr: 1.0000e-04 eta: 2:05:51 time: 0.2868 data_time: 0.0246 memory: 8198 grad_norm: 7.0495 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/04 03:28:21 - mmengine - INFO - Epoch(train) [242][1840/1879] lr: 1.0000e-04 eta: 2:05:45 time: 0.3048 data_time: 0.0196 memory: 8198 grad_norm: 7.2682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8238 loss: 0.8238 2022/08/04 03:28:26 - mmengine - INFO - Epoch(train) [242][1860/1879] lr: 1.0000e-04 eta: 2:05:39 time: 0.2854 data_time: 0.0227 memory: 8198 grad_norm: 7.5132 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9932 loss: 0.9932 2022/08/04 03:28:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:28:31 - mmengine - INFO - Epoch(train) [242][1879/1879] lr: 1.0000e-04 eta: 2:05:39 time: 0.2659 data_time: 0.0171 memory: 8198 grad_norm: 7.8012 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9082 loss: 0.9082 2022/08/04 03:28:40 - mmengine - INFO - Epoch(train) [243][20/1879] lr: 1.0000e-04 eta: 2:05:28 time: 0.4100 data_time: 0.0982 memory: 8198 grad_norm: 7.5237 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9089 loss: 0.9089 2022/08/04 03:28:46 - mmengine - INFO - Epoch(train) [243][40/1879] lr: 1.0000e-04 eta: 2:05:22 time: 0.2926 data_time: 0.0166 memory: 8198 grad_norm: 7.6641 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0801 loss: 1.0801 2022/08/04 03:28:52 - mmengine - INFO - Epoch(train) [243][60/1879] lr: 1.0000e-04 eta: 2:05:16 time: 0.2994 data_time: 0.0278 memory: 8198 grad_norm: 7.3625 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9988 loss: 0.9988 2022/08/04 03:28:57 - mmengine - INFO - Epoch(train) [243][80/1879] lr: 1.0000e-04 eta: 2:05:11 time: 0.2844 data_time: 0.0202 memory: 8198 grad_norm: 7.1801 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8840 loss: 0.8840 2022/08/04 03:29:03 - mmengine - INFO - Epoch(train) [243][100/1879] lr: 1.0000e-04 eta: 2:05:05 time: 0.2872 data_time: 0.0273 memory: 8198 grad_norm: 7.3908 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8384 loss: 0.8384 2022/08/04 03:29:09 - mmengine - INFO - Epoch(train) [243][120/1879] lr: 1.0000e-04 eta: 2:04:59 time: 0.2964 data_time: 0.0209 memory: 8198 grad_norm: 6.9779 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/04 03:29:15 - mmengine - INFO - Epoch(train) [243][140/1879] lr: 1.0000e-04 eta: 2:04:53 time: 0.2932 data_time: 0.0183 memory: 8198 grad_norm: 7.2413 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7499 loss: 0.7499 2022/08/04 03:29:21 - mmengine - INFO - Epoch(train) [243][160/1879] lr: 1.0000e-04 eta: 2:04:48 time: 0.2877 data_time: 0.0219 memory: 8198 grad_norm: 7.6661 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0139 loss: 1.0139 2022/08/04 03:29:27 - mmengine - INFO - Epoch(train) [243][180/1879] lr: 1.0000e-04 eta: 2:04:42 time: 0.2845 data_time: 0.0206 memory: 8198 grad_norm: 7.6323 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7973 loss: 0.7973 2022/08/04 03:29:32 - mmengine - INFO - Epoch(train) [243][200/1879] lr: 1.0000e-04 eta: 2:04:36 time: 0.2874 data_time: 0.0218 memory: 8198 grad_norm: 7.4382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9360 loss: 0.9360 2022/08/04 03:29:38 - mmengine - INFO - Epoch(train) [243][220/1879] lr: 1.0000e-04 eta: 2:04:31 time: 0.2888 data_time: 0.0188 memory: 8198 grad_norm: 7.5499 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/08/04 03:29:44 - mmengine - INFO - Epoch(train) [243][240/1879] lr: 1.0000e-04 eta: 2:04:25 time: 0.2861 data_time: 0.0235 memory: 8198 grad_norm: 7.4978 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8043 loss: 0.8043 2022/08/04 03:29:50 - mmengine - INFO - Epoch(train) [243][260/1879] lr: 1.0000e-04 eta: 2:04:19 time: 0.2901 data_time: 0.0214 memory: 8198 grad_norm: 7.2470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9056 loss: 0.9056 2022/08/04 03:29:55 - mmengine - INFO - Epoch(train) [243][280/1879] lr: 1.0000e-04 eta: 2:04:13 time: 0.2856 data_time: 0.0189 memory: 8198 grad_norm: 7.5479 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/08/04 03:29:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:30:01 - mmengine - INFO - Epoch(train) [243][300/1879] lr: 1.0000e-04 eta: 2:04:08 time: 0.2883 data_time: 0.0224 memory: 8198 grad_norm: 7.2459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0439 loss: 1.0439 2022/08/04 03:30:07 - mmengine - INFO - Epoch(train) [243][320/1879] lr: 1.0000e-04 eta: 2:04:02 time: 0.2897 data_time: 0.0212 memory: 8198 grad_norm: 7.6206 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7710 loss: 0.7710 2022/08/04 03:30:13 - mmengine - INFO - Epoch(train) [243][340/1879] lr: 1.0000e-04 eta: 2:03:56 time: 0.3097 data_time: 0.0212 memory: 8198 grad_norm: 7.2289 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/04 03:30:19 - mmengine - INFO - Epoch(train) [243][360/1879] lr: 1.0000e-04 eta: 2:03:50 time: 0.2921 data_time: 0.0253 memory: 8198 grad_norm: 7.1582 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/04 03:30:25 - mmengine - INFO - Epoch(train) [243][380/1879] lr: 1.0000e-04 eta: 2:03:45 time: 0.2841 data_time: 0.0230 memory: 8198 grad_norm: 7.3443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8914 loss: 0.8914 2022/08/04 03:30:31 - mmengine - INFO - Epoch(train) [243][400/1879] lr: 1.0000e-04 eta: 2:03:39 time: 0.2842 data_time: 0.0222 memory: 8198 grad_norm: 7.1467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7621 loss: 0.7621 2022/08/04 03:30:36 - mmengine - INFO - Epoch(train) [243][420/1879] lr: 1.0000e-04 eta: 2:03:33 time: 0.2857 data_time: 0.0253 memory: 8198 grad_norm: 7.3192 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8382 loss: 0.8382 2022/08/04 03:30:42 - mmengine - INFO - Epoch(train) [243][440/1879] lr: 1.0000e-04 eta: 2:03:28 time: 0.2898 data_time: 0.0222 memory: 8198 grad_norm: 7.3678 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0433 loss: 1.0433 2022/08/04 03:30:48 - mmengine - INFO - Epoch(train) [243][460/1879] lr: 1.0000e-04 eta: 2:03:22 time: 0.2904 data_time: 0.0242 memory: 8198 grad_norm: 7.5512 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0142 loss: 1.0142 2022/08/04 03:30:54 - mmengine - INFO - Epoch(train) [243][480/1879] lr: 1.0000e-04 eta: 2:03:16 time: 0.2854 data_time: 0.0232 memory: 8198 grad_norm: 7.1747 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0127 loss: 1.0127 2022/08/04 03:31:00 - mmengine - INFO - Epoch(train) [243][500/1879] lr: 1.0000e-04 eta: 2:03:10 time: 0.2899 data_time: 0.0205 memory: 8198 grad_norm: 7.3004 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/08/04 03:31:05 - mmengine - INFO - Epoch(train) [243][520/1879] lr: 1.0000e-04 eta: 2:03:05 time: 0.2849 data_time: 0.0245 memory: 8198 grad_norm: 7.5147 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8931 loss: 0.8931 2022/08/04 03:31:11 - mmengine - INFO - Epoch(train) [243][540/1879] lr: 1.0000e-04 eta: 2:02:59 time: 0.2900 data_time: 0.0214 memory: 8198 grad_norm: 7.3658 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7646 loss: 0.7646 2022/08/04 03:31:17 - mmengine - INFO - Epoch(train) [243][560/1879] lr: 1.0000e-04 eta: 2:02:53 time: 0.2891 data_time: 0.0261 memory: 8198 grad_norm: 7.6023 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/04 03:31:23 - mmengine - INFO - Epoch(train) [243][580/1879] lr: 1.0000e-04 eta: 2:02:47 time: 0.3003 data_time: 0.0215 memory: 8198 grad_norm: 7.2519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/08/04 03:31:29 - mmengine - INFO - Epoch(train) [243][600/1879] lr: 1.0000e-04 eta: 2:02:42 time: 0.3008 data_time: 0.0204 memory: 8198 grad_norm: 7.5783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9612 loss: 0.9612 2022/08/04 03:31:35 - mmengine - INFO - Epoch(train) [243][620/1879] lr: 1.0000e-04 eta: 2:02:36 time: 0.2845 data_time: 0.0221 memory: 8198 grad_norm: 7.3984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/08/04 03:31:41 - mmengine - INFO - Epoch(train) [243][640/1879] lr: 1.0000e-04 eta: 2:02:30 time: 0.2882 data_time: 0.0239 memory: 8198 grad_norm: 7.3428 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1192 loss: 1.1192 2022/08/04 03:31:46 - mmengine - INFO - Epoch(train) [243][660/1879] lr: 1.0000e-04 eta: 2:02:25 time: 0.2863 data_time: 0.0222 memory: 8198 grad_norm: 7.3874 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/08/04 03:31:52 - mmengine - INFO - Epoch(train) [243][680/1879] lr: 1.0000e-04 eta: 2:02:19 time: 0.2861 data_time: 0.0211 memory: 8198 grad_norm: 7.6258 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0194 loss: 1.0194 2022/08/04 03:31:58 - mmengine - INFO - Epoch(train) [243][700/1879] lr: 1.0000e-04 eta: 2:02:13 time: 0.2928 data_time: 0.0233 memory: 8198 grad_norm: 7.4736 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/08/04 03:32:04 - mmengine - INFO - Epoch(train) [243][720/1879] lr: 1.0000e-04 eta: 2:02:07 time: 0.3026 data_time: 0.0199 memory: 8198 grad_norm: 7.2466 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0676 loss: 1.0676 2022/08/04 03:32:10 - mmengine - INFO - Epoch(train) [243][740/1879] lr: 1.0000e-04 eta: 2:02:02 time: 0.2878 data_time: 0.0229 memory: 8198 grad_norm: 7.5757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9467 loss: 0.9467 2022/08/04 03:32:16 - mmengine - INFO - Epoch(train) [243][760/1879] lr: 1.0000e-04 eta: 2:01:56 time: 0.2857 data_time: 0.0233 memory: 8198 grad_norm: 7.6039 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9524 loss: 0.9524 2022/08/04 03:32:22 - mmengine - INFO - Epoch(train) [243][780/1879] lr: 1.0000e-04 eta: 2:01:50 time: 0.2990 data_time: 0.0220 memory: 8198 grad_norm: 7.3039 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8921 loss: 0.8921 2022/08/04 03:32:27 - mmengine - INFO - Epoch(train) [243][800/1879] lr: 1.0000e-04 eta: 2:01:45 time: 0.2856 data_time: 0.0190 memory: 8198 grad_norm: 7.3361 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8618 loss: 0.8618 2022/08/04 03:32:33 - mmengine - INFO - Epoch(train) [243][820/1879] lr: 1.0000e-04 eta: 2:01:39 time: 0.2879 data_time: 0.0272 memory: 8198 grad_norm: 7.3547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8736 loss: 0.8736 2022/08/04 03:32:39 - mmengine - INFO - Epoch(train) [243][840/1879] lr: 1.0000e-04 eta: 2:01:33 time: 0.3004 data_time: 0.0180 memory: 8198 grad_norm: 7.6378 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9164 loss: 0.9164 2022/08/04 03:32:45 - mmengine - INFO - Epoch(train) [243][860/1879] lr: 1.0000e-04 eta: 2:01:27 time: 0.2865 data_time: 0.0215 memory: 8198 grad_norm: 7.5246 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9331 loss: 0.9331 2022/08/04 03:32:51 - mmengine - INFO - Epoch(train) [243][880/1879] lr: 1.0000e-04 eta: 2:01:22 time: 0.2897 data_time: 0.0193 memory: 8198 grad_norm: 7.3063 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9338 loss: 0.9338 2022/08/04 03:32:56 - mmengine - INFO - Epoch(train) [243][900/1879] lr: 1.0000e-04 eta: 2:01:16 time: 0.2862 data_time: 0.0212 memory: 8198 grad_norm: 7.4566 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0568 loss: 1.0568 2022/08/04 03:33:02 - mmengine - INFO - Epoch(train) [243][920/1879] lr: 1.0000e-04 eta: 2:01:10 time: 0.2890 data_time: 0.0183 memory: 8198 grad_norm: 7.2711 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0814 loss: 1.0814 2022/08/04 03:33:08 - mmengine - INFO - Epoch(train) [243][940/1879] lr: 1.0000e-04 eta: 2:01:04 time: 0.2884 data_time: 0.0259 memory: 8198 grad_norm: 7.3398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9248 loss: 0.9248 2022/08/04 03:33:14 - mmengine - INFO - Epoch(train) [243][960/1879] lr: 1.0000e-04 eta: 2:00:59 time: 0.2902 data_time: 0.0194 memory: 8198 grad_norm: 7.5115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9900 loss: 0.9900 2022/08/04 03:33:20 - mmengine - INFO - Epoch(train) [243][980/1879] lr: 1.0000e-04 eta: 2:00:53 time: 0.2914 data_time: 0.0256 memory: 8198 grad_norm: 7.1291 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8883 loss: 0.8883 2022/08/04 03:33:26 - mmengine - INFO - Epoch(train) [243][1000/1879] lr: 1.0000e-04 eta: 2:00:47 time: 0.2879 data_time: 0.0201 memory: 8198 grad_norm: 7.2106 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8661 loss: 0.8661 2022/08/04 03:33:31 - mmengine - INFO - Epoch(train) [243][1020/1879] lr: 1.0000e-04 eta: 2:00:42 time: 0.2857 data_time: 0.0230 memory: 8198 grad_norm: 7.3896 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9403 loss: 0.9403 2022/08/04 03:33:37 - mmengine - INFO - Epoch(train) [243][1040/1879] lr: 1.0000e-04 eta: 2:00:36 time: 0.2849 data_time: 0.0210 memory: 8198 grad_norm: 7.2515 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/08/04 03:33:43 - mmengine - INFO - Epoch(train) [243][1060/1879] lr: 1.0000e-04 eta: 2:00:30 time: 0.2982 data_time: 0.0216 memory: 8198 grad_norm: 7.1743 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9305 loss: 0.9305 2022/08/04 03:33:49 - mmengine - INFO - Epoch(train) [243][1080/1879] lr: 1.0000e-04 eta: 2:00:24 time: 0.2892 data_time: 0.0262 memory: 8198 grad_norm: 7.5313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/08/04 03:33:55 - mmengine - INFO - Epoch(train) [243][1100/1879] lr: 1.0000e-04 eta: 2:00:19 time: 0.2862 data_time: 0.0214 memory: 8198 grad_norm: 7.3454 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/08/04 03:34:00 - mmengine - INFO - Epoch(train) [243][1120/1879] lr: 1.0000e-04 eta: 2:00:13 time: 0.2939 data_time: 0.0202 memory: 8198 grad_norm: 7.6229 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9235 loss: 0.9235 2022/08/04 03:34:06 - mmengine - INFO - Epoch(train) [243][1140/1879] lr: 1.0000e-04 eta: 2:00:07 time: 0.2867 data_time: 0.0214 memory: 8198 grad_norm: 7.3718 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9465 loss: 0.9465 2022/08/04 03:34:12 - mmengine - INFO - Epoch(train) [243][1160/1879] lr: 1.0000e-04 eta: 2:00:01 time: 0.2915 data_time: 0.0220 memory: 8198 grad_norm: 7.3258 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8481 loss: 0.8481 2022/08/04 03:34:18 - mmengine - INFO - Epoch(train) [243][1180/1879] lr: 1.0000e-04 eta: 1:59:56 time: 0.2857 data_time: 0.0218 memory: 8198 grad_norm: 7.7455 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/08/04 03:34:24 - mmengine - INFO - Epoch(train) [243][1200/1879] lr: 1.0000e-04 eta: 1:59:50 time: 0.2948 data_time: 0.0207 memory: 8198 grad_norm: 7.2458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0496 loss: 1.0496 2022/08/04 03:34:30 - mmengine - INFO - Epoch(train) [243][1220/1879] lr: 1.0000e-04 eta: 1:59:44 time: 0.2867 data_time: 0.0229 memory: 8198 grad_norm: 7.3449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0626 loss: 1.0626 2022/08/04 03:34:35 - mmengine - INFO - Epoch(train) [243][1240/1879] lr: 1.0000e-04 eta: 1:59:39 time: 0.2881 data_time: 0.0216 memory: 8198 grad_norm: 7.4478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1537 loss: 1.1537 2022/08/04 03:34:41 - mmengine - INFO - Epoch(train) [243][1260/1879] lr: 1.0000e-04 eta: 1:59:33 time: 0.2957 data_time: 0.0229 memory: 8198 grad_norm: 7.5166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7013 loss: 0.7013 2022/08/04 03:34:47 - mmengine - INFO - Epoch(train) [243][1280/1879] lr: 1.0000e-04 eta: 1:59:27 time: 0.2864 data_time: 0.0189 memory: 8198 grad_norm: 7.4799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8907 loss: 0.8907 2022/08/04 03:34:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:34:53 - mmengine - INFO - Epoch(train) [243][1300/1879] lr: 1.0000e-04 eta: 1:59:21 time: 0.2943 data_time: 0.0211 memory: 8198 grad_norm: 7.4535 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8682 loss: 0.8682 2022/08/04 03:34:59 - mmengine - INFO - Epoch(train) [243][1320/1879] lr: 1.0000e-04 eta: 1:59:16 time: 0.3110 data_time: 0.0229 memory: 8198 grad_norm: 7.6871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/08/04 03:35:05 - mmengine - INFO - Epoch(train) [243][1340/1879] lr: 1.0000e-04 eta: 1:59:10 time: 0.2797 data_time: 0.0186 memory: 8198 grad_norm: 7.2243 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/08/04 03:35:11 - mmengine - INFO - Epoch(train) [243][1360/1879] lr: 1.0000e-04 eta: 1:59:04 time: 0.2871 data_time: 0.0229 memory: 8198 grad_norm: 7.4171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/08/04 03:35:16 - mmengine - INFO - Epoch(train) [243][1380/1879] lr: 1.0000e-04 eta: 1:58:59 time: 0.2909 data_time: 0.0254 memory: 8198 grad_norm: 7.4363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/04 03:35:22 - mmengine - INFO - Epoch(train) [243][1400/1879] lr: 1.0000e-04 eta: 1:58:53 time: 0.2873 data_time: 0.0213 memory: 8198 grad_norm: 7.4225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7394 loss: 0.7394 2022/08/04 03:35:28 - mmengine - INFO - Epoch(train) [243][1420/1879] lr: 1.0000e-04 eta: 1:58:47 time: 0.2889 data_time: 0.0214 memory: 8198 grad_norm: 7.2251 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9794 loss: 0.9794 2022/08/04 03:35:34 - mmengine - INFO - Epoch(train) [243][1440/1879] lr: 1.0000e-04 eta: 1:58:41 time: 0.2888 data_time: 0.0221 memory: 8198 grad_norm: 7.5307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7761 loss: 0.7761 2022/08/04 03:35:40 - mmengine - INFO - Epoch(train) [243][1460/1879] lr: 1.0000e-04 eta: 1:58:36 time: 0.2932 data_time: 0.0263 memory: 8198 grad_norm: 7.4753 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0176 loss: 1.0176 2022/08/04 03:35:46 - mmengine - INFO - Epoch(train) [243][1480/1879] lr: 1.0000e-04 eta: 1:58:30 time: 0.2905 data_time: 0.0226 memory: 8198 grad_norm: 7.3606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0631 loss: 1.0631 2022/08/04 03:35:51 - mmengine - INFO - Epoch(train) [243][1500/1879] lr: 1.0000e-04 eta: 1:58:24 time: 0.2849 data_time: 0.0203 memory: 8198 grad_norm: 7.2142 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8995 loss: 0.8995 2022/08/04 03:35:57 - mmengine - INFO - Epoch(train) [243][1520/1879] lr: 1.0000e-04 eta: 1:58:18 time: 0.2936 data_time: 0.0208 memory: 8198 grad_norm: 7.3749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9816 loss: 0.9816 2022/08/04 03:36:03 - mmengine - INFO - Epoch(train) [243][1540/1879] lr: 1.0000e-04 eta: 1:58:13 time: 0.2940 data_time: 0.0212 memory: 8198 grad_norm: 7.2090 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8351 loss: 0.8351 2022/08/04 03:36:09 - mmengine - INFO - Epoch(train) [243][1560/1879] lr: 1.0000e-04 eta: 1:58:07 time: 0.2858 data_time: 0.0215 memory: 8198 grad_norm: 7.5304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9110 loss: 0.9110 2022/08/04 03:36:15 - mmengine - INFO - Epoch(train) [243][1580/1879] lr: 1.0000e-04 eta: 1:58:01 time: 0.2829 data_time: 0.0215 memory: 8198 grad_norm: 7.5826 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9172 loss: 0.9172 2022/08/04 03:36:20 - mmengine - INFO - Epoch(train) [243][1600/1879] lr: 1.0000e-04 eta: 1:57:56 time: 0.2884 data_time: 0.0212 memory: 8198 grad_norm: 7.5672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0112 loss: 1.0112 2022/08/04 03:36:26 - mmengine - INFO - Epoch(train) [243][1620/1879] lr: 1.0000e-04 eta: 1:57:50 time: 0.2857 data_time: 0.0204 memory: 8198 grad_norm: 7.2232 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9546 loss: 0.9546 2022/08/04 03:36:32 - mmengine - INFO - Epoch(train) [243][1640/1879] lr: 1.0000e-04 eta: 1:57:44 time: 0.2849 data_time: 0.0238 memory: 8198 grad_norm: 7.2956 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/08/04 03:36:38 - mmengine - INFO - Epoch(train) [243][1660/1879] lr: 1.0000e-04 eta: 1:57:38 time: 0.2847 data_time: 0.0211 memory: 8198 grad_norm: 7.3193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8258 loss: 0.8258 2022/08/04 03:36:43 - mmengine - INFO - Epoch(train) [243][1680/1879] lr: 1.0000e-04 eta: 1:57:33 time: 0.2903 data_time: 0.0163 memory: 8198 grad_norm: 7.0550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/08/04 03:36:49 - mmengine - INFO - Epoch(train) [243][1700/1879] lr: 1.0000e-04 eta: 1:57:27 time: 0.2876 data_time: 0.0240 memory: 8198 grad_norm: 7.3751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/08/04 03:36:55 - mmengine - INFO - Epoch(train) [243][1720/1879] lr: 1.0000e-04 eta: 1:57:21 time: 0.2855 data_time: 0.0250 memory: 8198 grad_norm: 7.4585 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9327 loss: 0.9327 2022/08/04 03:37:01 - mmengine - INFO - Epoch(train) [243][1740/1879] lr: 1.0000e-04 eta: 1:57:15 time: 0.2994 data_time: 0.0196 memory: 8198 grad_norm: 7.5582 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0075 loss: 1.0075 2022/08/04 03:37:07 - mmengine - INFO - Epoch(train) [243][1760/1879] lr: 1.0000e-04 eta: 1:57:10 time: 0.2869 data_time: 0.0247 memory: 8198 grad_norm: 7.5284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/08/04 03:37:12 - mmengine - INFO - Epoch(train) [243][1780/1879] lr: 1.0000e-04 eta: 1:57:04 time: 0.2844 data_time: 0.0195 memory: 8198 grad_norm: 7.3524 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8092 loss: 0.8092 2022/08/04 03:37:18 - mmengine - INFO - Epoch(train) [243][1800/1879] lr: 1.0000e-04 eta: 1:56:58 time: 0.2871 data_time: 0.0161 memory: 8198 grad_norm: 7.1677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0105 loss: 1.0105 2022/08/04 03:37:24 - mmengine - INFO - Epoch(train) [243][1820/1879] lr: 1.0000e-04 eta: 1:56:53 time: 0.2948 data_time: 0.0256 memory: 8198 grad_norm: 7.5268 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/04 03:37:30 - mmengine - INFO - Epoch(train) [243][1840/1879] lr: 1.0000e-04 eta: 1:56:47 time: 0.2867 data_time: 0.0219 memory: 8198 grad_norm: 7.4013 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9038 loss: 0.9038 2022/08/04 03:37:36 - mmengine - INFO - Epoch(train) [243][1860/1879] lr: 1.0000e-04 eta: 1:56:41 time: 0.2901 data_time: 0.0231 memory: 8198 grad_norm: 7.5052 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8964 loss: 0.8964 2022/08/04 03:37:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:37:41 - mmengine - INFO - Epoch(train) [243][1879/1879] lr: 1.0000e-04 eta: 1:56:41 time: 0.2686 data_time: 0.0176 memory: 8198 grad_norm: 7.3165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8502 loss: 0.8502 2022/08/04 03:37:50 - mmengine - INFO - Epoch(train) [244][20/1879] lr: 1.0000e-04 eta: 1:56:30 time: 0.4255 data_time: 0.1370 memory: 8198 grad_norm: 7.4979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/08/04 03:37:55 - mmengine - INFO - Epoch(train) [244][40/1879] lr: 1.0000e-04 eta: 1:56:24 time: 0.2932 data_time: 0.0230 memory: 8198 grad_norm: 7.4149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1117 loss: 1.1117 2022/08/04 03:38:02 - mmengine - INFO - Epoch(train) [244][60/1879] lr: 1.0000e-04 eta: 1:56:18 time: 0.3059 data_time: 0.0232 memory: 8198 grad_norm: 7.3604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9136 loss: 0.9136 2022/08/04 03:38:07 - mmengine - INFO - Epoch(train) [244][80/1879] lr: 1.0000e-04 eta: 1:56:13 time: 0.2872 data_time: 0.0233 memory: 8198 grad_norm: 7.4514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8607 loss: 0.8607 2022/08/04 03:38:13 - mmengine - INFO - Epoch(train) [244][100/1879] lr: 1.0000e-04 eta: 1:56:07 time: 0.3028 data_time: 0.0201 memory: 8198 grad_norm: 7.1043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9640 loss: 0.9640 2022/08/04 03:38:19 - mmengine - INFO - Epoch(train) [244][120/1879] lr: 1.0000e-04 eta: 1:56:01 time: 0.2888 data_time: 0.0217 memory: 8198 grad_norm: 7.4473 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/08/04 03:38:25 - mmengine - INFO - Epoch(train) [244][140/1879] lr: 1.0000e-04 eta: 1:55:55 time: 0.2914 data_time: 0.0250 memory: 8198 grad_norm: 7.5093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0282 loss: 1.0282 2022/08/04 03:38:31 - mmengine - INFO - Epoch(train) [244][160/1879] lr: 1.0000e-04 eta: 1:55:50 time: 0.3097 data_time: 0.0248 memory: 8198 grad_norm: 7.3052 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8788 loss: 0.8788 2022/08/04 03:38:37 - mmengine - INFO - Epoch(train) [244][180/1879] lr: 1.0000e-04 eta: 1:55:44 time: 0.2832 data_time: 0.0235 memory: 8198 grad_norm: 7.3704 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9078 loss: 0.9078 2022/08/04 03:38:43 - mmengine - INFO - Epoch(train) [244][200/1879] lr: 1.0000e-04 eta: 1:55:38 time: 0.2842 data_time: 0.0198 memory: 8198 grad_norm: 7.3009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8059 loss: 0.8059 2022/08/04 03:38:49 - mmengine - INFO - Epoch(train) [244][220/1879] lr: 1.0000e-04 eta: 1:55:33 time: 0.2976 data_time: 0.0299 memory: 8198 grad_norm: 7.1356 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8546 loss: 0.8546 2022/08/04 03:38:55 - mmengine - INFO - Epoch(train) [244][240/1879] lr: 1.0000e-04 eta: 1:55:27 time: 0.2904 data_time: 0.0223 memory: 8198 grad_norm: 7.4099 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8842 loss: 0.8842 2022/08/04 03:39:00 - mmengine - INFO - Epoch(train) [244][260/1879] lr: 1.0000e-04 eta: 1:55:21 time: 0.2822 data_time: 0.0213 memory: 8198 grad_norm: 7.6837 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9817 loss: 0.9817 2022/08/04 03:39:06 - mmengine - INFO - Epoch(train) [244][280/1879] lr: 1.0000e-04 eta: 1:55:15 time: 0.2858 data_time: 0.0215 memory: 8198 grad_norm: 7.5956 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0221 loss: 1.0221 2022/08/04 03:39:12 - mmengine - INFO - Epoch(train) [244][300/1879] lr: 1.0000e-04 eta: 1:55:10 time: 0.2880 data_time: 0.0205 memory: 8198 grad_norm: 7.3008 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8574 loss: 0.8574 2022/08/04 03:39:18 - mmengine - INFO - Epoch(train) [244][320/1879] lr: 1.0000e-04 eta: 1:55:04 time: 0.2872 data_time: 0.0269 memory: 8198 grad_norm: 7.2915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1186 loss: 1.1186 2022/08/04 03:39:23 - mmengine - INFO - Epoch(train) [244][340/1879] lr: 1.0000e-04 eta: 1:54:58 time: 0.2914 data_time: 0.0223 memory: 8198 grad_norm: 7.2294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8596 loss: 0.8596 2022/08/04 03:39:29 - mmengine - INFO - Epoch(train) [244][360/1879] lr: 1.0000e-04 eta: 1:54:53 time: 0.2862 data_time: 0.0214 memory: 8198 grad_norm: 7.4725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/04 03:39:35 - mmengine - INFO - Epoch(train) [244][380/1879] lr: 1.0000e-04 eta: 1:54:47 time: 0.2859 data_time: 0.0207 memory: 8198 grad_norm: 7.4546 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/08/04 03:39:41 - mmengine - INFO - Epoch(train) [244][400/1879] lr: 1.0000e-04 eta: 1:54:41 time: 0.2901 data_time: 0.0211 memory: 8198 grad_norm: 7.4108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8759 loss: 0.8759 2022/08/04 03:39:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:39:46 - mmengine - INFO - Epoch(train) [244][420/1879] lr: 1.0000e-04 eta: 1:54:35 time: 0.2858 data_time: 0.0187 memory: 8198 grad_norm: 7.4029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0335 loss: 1.0335 2022/08/04 03:39:52 - mmengine - INFO - Epoch(train) [244][440/1879] lr: 1.0000e-04 eta: 1:54:30 time: 0.2857 data_time: 0.0198 memory: 8198 grad_norm: 7.3863 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7769 loss: 0.7769 2022/08/04 03:39:58 - mmengine - INFO - Epoch(train) [244][460/1879] lr: 1.0000e-04 eta: 1:54:24 time: 0.2859 data_time: 0.0180 memory: 8198 grad_norm: 7.3766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8639 loss: 0.8639 2022/08/04 03:40:04 - mmengine - INFO - Epoch(train) [244][480/1879] lr: 1.0000e-04 eta: 1:54:18 time: 0.3003 data_time: 0.0165 memory: 8198 grad_norm: 7.4408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9325 loss: 0.9325 2022/08/04 03:40:10 - mmengine - INFO - Epoch(train) [244][500/1879] lr: 1.0000e-04 eta: 1:54:12 time: 0.2918 data_time: 0.0212 memory: 8198 grad_norm: 7.5231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/04 03:40:16 - mmengine - INFO - Epoch(train) [244][520/1879] lr: 1.0000e-04 eta: 1:54:07 time: 0.2843 data_time: 0.0191 memory: 8198 grad_norm: 7.3398 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0444 loss: 1.0444 2022/08/04 03:40:22 - mmengine - INFO - Epoch(train) [244][540/1879] lr: 1.0000e-04 eta: 1:54:01 time: 0.3032 data_time: 0.0217 memory: 8198 grad_norm: 7.1421 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1193 loss: 1.1193 2022/08/04 03:40:27 - mmengine - INFO - Epoch(train) [244][560/1879] lr: 1.0000e-04 eta: 1:53:55 time: 0.2838 data_time: 0.0212 memory: 8198 grad_norm: 7.3502 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8637 loss: 0.8637 2022/08/04 03:40:33 - mmengine - INFO - Epoch(train) [244][580/1879] lr: 1.0000e-04 eta: 1:53:50 time: 0.2854 data_time: 0.0180 memory: 8198 grad_norm: 7.2756 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6797 loss: 0.6797 2022/08/04 03:40:39 - mmengine - INFO - Epoch(train) [244][600/1879] lr: 1.0000e-04 eta: 1:53:44 time: 0.2965 data_time: 0.0236 memory: 8198 grad_norm: 7.1650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9318 loss: 0.9318 2022/08/04 03:40:45 - mmengine - INFO - Epoch(train) [244][620/1879] lr: 1.0000e-04 eta: 1:53:38 time: 0.2878 data_time: 0.0210 memory: 8198 grad_norm: 7.0889 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9456 loss: 0.9456 2022/08/04 03:40:51 - mmengine - INFO - Epoch(train) [244][640/1879] lr: 1.0000e-04 eta: 1:53:32 time: 0.2848 data_time: 0.0257 memory: 8198 grad_norm: 7.3960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8994 loss: 0.8994 2022/08/04 03:40:56 - mmengine - INFO - Epoch(train) [244][660/1879] lr: 1.0000e-04 eta: 1:53:27 time: 0.2877 data_time: 0.0238 memory: 8198 grad_norm: 7.6478 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9130 loss: 0.9130 2022/08/04 03:41:02 - mmengine - INFO - Epoch(train) [244][680/1879] lr: 1.0000e-04 eta: 1:53:21 time: 0.3018 data_time: 0.0196 memory: 8198 grad_norm: 7.7776 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1307 loss: 1.1307 2022/08/04 03:41:08 - mmengine - INFO - Epoch(train) [244][700/1879] lr: 1.0000e-04 eta: 1:53:15 time: 0.2873 data_time: 0.0250 memory: 8198 grad_norm: 7.2168 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9030 loss: 0.9030 2022/08/04 03:41:14 - mmengine - INFO - Epoch(train) [244][720/1879] lr: 1.0000e-04 eta: 1:53:09 time: 0.2877 data_time: 0.0189 memory: 8198 grad_norm: 7.5375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/08/04 03:41:20 - mmengine - INFO - Epoch(train) [244][740/1879] lr: 1.0000e-04 eta: 1:53:04 time: 0.2965 data_time: 0.0225 memory: 8198 grad_norm: 7.4796 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1428 loss: 1.1428 2022/08/04 03:41:26 - mmengine - INFO - Epoch(train) [244][760/1879] lr: 1.0000e-04 eta: 1:52:58 time: 0.2838 data_time: 0.0223 memory: 8198 grad_norm: 7.2045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/04 03:41:31 - mmengine - INFO - Epoch(train) [244][780/1879] lr: 1.0000e-04 eta: 1:52:52 time: 0.2845 data_time: 0.0217 memory: 8198 grad_norm: 7.5167 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9808 loss: 0.9808 2022/08/04 03:41:37 - mmengine - INFO - Epoch(train) [244][800/1879] lr: 1.0000e-04 eta: 1:52:47 time: 0.2875 data_time: 0.0282 memory: 8198 grad_norm: 7.1392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8078 loss: 0.8078 2022/08/04 03:41:43 - mmengine - INFO - Epoch(train) [244][820/1879] lr: 1.0000e-04 eta: 1:52:41 time: 0.2951 data_time: 0.0273 memory: 8198 grad_norm: 7.4202 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9121 loss: 0.9121 2022/08/04 03:41:49 - mmengine - INFO - Epoch(train) [244][840/1879] lr: 1.0000e-04 eta: 1:52:35 time: 0.2848 data_time: 0.0192 memory: 8198 grad_norm: 7.6037 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0055 loss: 1.0055 2022/08/04 03:41:55 - mmengine - INFO - Epoch(train) [244][860/1879] lr: 1.0000e-04 eta: 1:52:29 time: 0.2859 data_time: 0.0224 memory: 8198 grad_norm: 7.4840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9029 loss: 0.9029 2022/08/04 03:42:01 - mmengine - INFO - Epoch(train) [244][880/1879] lr: 1.0000e-04 eta: 1:52:24 time: 0.2952 data_time: 0.0250 memory: 8198 grad_norm: 7.3023 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8280 loss: 0.8280 2022/08/04 03:42:06 - mmengine - INFO - Epoch(train) [244][900/1879] lr: 1.0000e-04 eta: 1:52:18 time: 0.2854 data_time: 0.0265 memory: 8198 grad_norm: 7.4500 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0794 loss: 1.0794 2022/08/04 03:42:12 - mmengine - INFO - Epoch(train) [244][920/1879] lr: 1.0000e-04 eta: 1:52:12 time: 0.2882 data_time: 0.0224 memory: 8198 grad_norm: 7.1493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/08/04 03:42:18 - mmengine - INFO - Epoch(train) [244][940/1879] lr: 1.0000e-04 eta: 1:52:06 time: 0.2913 data_time: 0.0202 memory: 8198 grad_norm: 7.2906 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0052 loss: 1.0052 2022/08/04 03:42:24 - mmengine - INFO - Epoch(train) [244][960/1879] lr: 1.0000e-04 eta: 1:52:01 time: 0.3122 data_time: 0.0205 memory: 8198 grad_norm: 7.2990 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0545 loss: 1.0545 2022/08/04 03:42:30 - mmengine - INFO - Epoch(train) [244][980/1879] lr: 1.0000e-04 eta: 1:51:55 time: 0.2905 data_time: 0.0287 memory: 8198 grad_norm: 7.3869 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/04 03:42:36 - mmengine - INFO - Epoch(train) [244][1000/1879] lr: 1.0000e-04 eta: 1:51:49 time: 0.2842 data_time: 0.0184 memory: 8198 grad_norm: 7.4497 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9816 loss: 0.9816 2022/08/04 03:42:42 - mmengine - INFO - Epoch(train) [244][1020/1879] lr: 1.0000e-04 eta: 1:51:44 time: 0.2893 data_time: 0.0202 memory: 8198 grad_norm: 7.4953 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8786 loss: 0.8786 2022/08/04 03:42:47 - mmengine - INFO - Epoch(train) [244][1040/1879] lr: 1.0000e-04 eta: 1:51:38 time: 0.2854 data_time: 0.0253 memory: 8198 grad_norm: 7.3436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7164 loss: 0.7164 2022/08/04 03:42:53 - mmengine - INFO - Epoch(train) [244][1060/1879] lr: 1.0000e-04 eta: 1:51:32 time: 0.2866 data_time: 0.0227 memory: 8198 grad_norm: 7.2722 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/04 03:42:59 - mmengine - INFO - Epoch(train) [244][1080/1879] lr: 1.0000e-04 eta: 1:51:26 time: 0.2865 data_time: 0.0208 memory: 8198 grad_norm: 7.3707 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/08/04 03:43:05 - mmengine - INFO - Epoch(train) [244][1100/1879] lr: 1.0000e-04 eta: 1:51:21 time: 0.3122 data_time: 0.0214 memory: 8198 grad_norm: 7.4101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8980 loss: 0.8980 2022/08/04 03:43:11 - mmengine - INFO - Epoch(train) [244][1120/1879] lr: 1.0000e-04 eta: 1:51:15 time: 0.2854 data_time: 0.0257 memory: 8198 grad_norm: 7.3357 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9702 loss: 0.9702 2022/08/04 03:43:17 - mmengine - INFO - Epoch(train) [244][1140/1879] lr: 1.0000e-04 eta: 1:51:09 time: 0.2848 data_time: 0.0235 memory: 8198 grad_norm: 7.3201 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9078 loss: 0.9078 2022/08/04 03:43:22 - mmengine - INFO - Epoch(train) [244][1160/1879] lr: 1.0000e-04 eta: 1:51:04 time: 0.2946 data_time: 0.0214 memory: 8198 grad_norm: 7.5604 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/08/04 03:43:28 - mmengine - INFO - Epoch(train) [244][1180/1879] lr: 1.0000e-04 eta: 1:50:58 time: 0.2876 data_time: 0.0208 memory: 8198 grad_norm: 7.5219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8775 loss: 0.8775 2022/08/04 03:43:34 - mmengine - INFO - Epoch(train) [244][1200/1879] lr: 1.0000e-04 eta: 1:50:52 time: 0.2822 data_time: 0.0181 memory: 8198 grad_norm: 7.3181 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9601 loss: 0.9601 2022/08/04 03:43:40 - mmengine - INFO - Epoch(train) [244][1220/1879] lr: 1.0000e-04 eta: 1:50:46 time: 0.2873 data_time: 0.0210 memory: 8198 grad_norm: 7.5247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8319 loss: 0.8319 2022/08/04 03:43:46 - mmengine - INFO - Epoch(train) [244][1240/1879] lr: 1.0000e-04 eta: 1:50:41 time: 0.2890 data_time: 0.0225 memory: 8198 grad_norm: 7.5679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/08/04 03:43:51 - mmengine - INFO - Epoch(train) [244][1260/1879] lr: 1.0000e-04 eta: 1:50:35 time: 0.2857 data_time: 0.0212 memory: 8198 grad_norm: 7.4276 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9971 loss: 0.9971 2022/08/04 03:43:57 - mmengine - INFO - Epoch(train) [244][1280/1879] lr: 1.0000e-04 eta: 1:50:29 time: 0.2911 data_time: 0.0284 memory: 8198 grad_norm: 7.3423 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7908 loss: 0.7908 2022/08/04 03:44:03 - mmengine - INFO - Epoch(train) [244][1300/1879] lr: 1.0000e-04 eta: 1:50:23 time: 0.2897 data_time: 0.0235 memory: 8198 grad_norm: 7.4446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8566 loss: 0.8566 2022/08/04 03:44:09 - mmengine - INFO - Epoch(train) [244][1320/1879] lr: 1.0000e-04 eta: 1:50:18 time: 0.2848 data_time: 0.0193 memory: 8198 grad_norm: 7.3767 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9143 loss: 0.9143 2022/08/04 03:44:15 - mmengine - INFO - Epoch(train) [244][1340/1879] lr: 1.0000e-04 eta: 1:50:12 time: 0.2901 data_time: 0.0228 memory: 8198 grad_norm: 7.4799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0758 loss: 1.0758 2022/08/04 03:44:21 - mmengine - INFO - Epoch(train) [244][1360/1879] lr: 1.0000e-04 eta: 1:50:06 time: 0.3002 data_time: 0.0248 memory: 8198 grad_norm: 7.5037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0084 loss: 1.0084 2022/08/04 03:44:26 - mmengine - INFO - Epoch(train) [244][1380/1879] lr: 1.0000e-04 eta: 1:50:01 time: 0.2861 data_time: 0.0246 memory: 8198 grad_norm: 7.2339 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9661 loss: 0.9661 2022/08/04 03:44:32 - mmengine - INFO - Epoch(train) [244][1400/1879] lr: 1.0000e-04 eta: 1:49:55 time: 0.2863 data_time: 0.0232 memory: 8198 grad_norm: 7.6770 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/08/04 03:44:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:44:38 - mmengine - INFO - Epoch(train) [244][1420/1879] lr: 1.0000e-04 eta: 1:49:49 time: 0.2878 data_time: 0.0234 memory: 8198 grad_norm: 7.3280 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9724 loss: 0.9724 2022/08/04 03:44:44 - mmengine - INFO - Epoch(train) [244][1440/1879] lr: 1.0000e-04 eta: 1:49:43 time: 0.2910 data_time: 0.0252 memory: 8198 grad_norm: 7.3512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/08/04 03:44:50 - mmengine - INFO - Epoch(train) [244][1460/1879] lr: 1.0000e-04 eta: 1:49:38 time: 0.3015 data_time: 0.0213 memory: 8198 grad_norm: 7.5431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0261 loss: 1.0261 2022/08/04 03:44:55 - mmengine - INFO - Epoch(train) [244][1480/1879] lr: 1.0000e-04 eta: 1:49:32 time: 0.2829 data_time: 0.0224 memory: 8198 grad_norm: 7.3695 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8489 loss: 0.8489 2022/08/04 03:45:01 - mmengine - INFO - Epoch(train) [244][1500/1879] lr: 1.0000e-04 eta: 1:49:26 time: 0.2901 data_time: 0.0232 memory: 8198 grad_norm: 7.4966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1202 loss: 1.1202 2022/08/04 03:45:07 - mmengine - INFO - Epoch(train) [244][1520/1879] lr: 1.0000e-04 eta: 1:49:20 time: 0.2880 data_time: 0.0224 memory: 8198 grad_norm: 7.1866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8551 loss: 0.8551 2022/08/04 03:45:13 - mmengine - INFO - Epoch(train) [244][1540/1879] lr: 1.0000e-04 eta: 1:49:15 time: 0.2864 data_time: 0.0233 memory: 8198 grad_norm: 7.6845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8614 loss: 0.8614 2022/08/04 03:45:19 - mmengine - INFO - Epoch(train) [244][1560/1879] lr: 1.0000e-04 eta: 1:49:09 time: 0.2860 data_time: 0.0215 memory: 8198 grad_norm: 7.4548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9727 loss: 0.9727 2022/08/04 03:45:24 - mmengine - INFO - Epoch(train) [244][1580/1879] lr: 1.0000e-04 eta: 1:49:03 time: 0.2943 data_time: 0.0244 memory: 8198 grad_norm: 7.7091 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/08/04 03:45:30 - mmengine - INFO - Epoch(train) [244][1600/1879] lr: 1.0000e-04 eta: 1:48:58 time: 0.2882 data_time: 0.0202 memory: 8198 grad_norm: 7.6210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/08/04 03:45:36 - mmengine - INFO - Epoch(train) [244][1620/1879] lr: 1.0000e-04 eta: 1:48:52 time: 0.2863 data_time: 0.0217 memory: 8198 grad_norm: 7.5297 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9149 loss: 0.9149 2022/08/04 03:45:42 - mmengine - INFO - Epoch(train) [244][1640/1879] lr: 1.0000e-04 eta: 1:48:46 time: 0.2893 data_time: 0.0234 memory: 8198 grad_norm: 7.3879 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0387 loss: 1.0387 2022/08/04 03:45:48 - mmengine - INFO - Epoch(train) [244][1660/1879] lr: 1.0000e-04 eta: 1:48:40 time: 0.2878 data_time: 0.0233 memory: 8198 grad_norm: 7.4870 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0511 loss: 1.0511 2022/08/04 03:45:53 - mmengine - INFO - Epoch(train) [244][1680/1879] lr: 1.0000e-04 eta: 1:48:35 time: 0.2885 data_time: 0.0216 memory: 8198 grad_norm: 7.3386 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/08/04 03:45:59 - mmengine - INFO - Epoch(train) [244][1700/1879] lr: 1.0000e-04 eta: 1:48:29 time: 0.2928 data_time: 0.0220 memory: 8198 grad_norm: 7.4684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8803 loss: 0.8803 2022/08/04 03:46:05 - mmengine - INFO - Epoch(train) [244][1720/1879] lr: 1.0000e-04 eta: 1:48:23 time: 0.3080 data_time: 0.0235 memory: 8198 grad_norm: 7.3635 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9328 loss: 0.9328 2022/08/04 03:46:11 - mmengine - INFO - Epoch(train) [244][1740/1879] lr: 1.0000e-04 eta: 1:48:17 time: 0.2851 data_time: 0.0245 memory: 8198 grad_norm: 7.5170 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8164 loss: 0.8164 2022/08/04 03:46:17 - mmengine - INFO - Epoch(train) [244][1760/1879] lr: 1.0000e-04 eta: 1:48:12 time: 0.2898 data_time: 0.0298 memory: 8198 grad_norm: 7.7868 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/08/04 03:46:24 - mmengine - INFO - Epoch(train) [244][1780/1879] lr: 1.0000e-04 eta: 1:48:06 time: 0.3199 data_time: 0.0203 memory: 8198 grad_norm: 7.2113 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9187 loss: 0.9187 2022/08/04 03:46:29 - mmengine - INFO - Epoch(train) [244][1800/1879] lr: 1.0000e-04 eta: 1:48:00 time: 0.2861 data_time: 0.0200 memory: 8198 grad_norm: 7.5884 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8951 loss: 0.8951 2022/08/04 03:46:35 - mmengine - INFO - Epoch(train) [244][1820/1879] lr: 1.0000e-04 eta: 1:47:55 time: 0.2860 data_time: 0.0220 memory: 8198 grad_norm: 7.4344 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9612 loss: 0.9612 2022/08/04 03:46:41 - mmengine - INFO - Epoch(train) [244][1840/1879] lr: 1.0000e-04 eta: 1:47:49 time: 0.2917 data_time: 0.0202 memory: 8198 grad_norm: 7.4154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0898 loss: 1.0898 2022/08/04 03:46:47 - mmengine - INFO - Epoch(train) [244][1860/1879] lr: 1.0000e-04 eta: 1:47:43 time: 0.2943 data_time: 0.0214 memory: 8198 grad_norm: 7.1545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8070 loss: 0.8070 2022/08/04 03:46:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:46:52 - mmengine - INFO - Epoch(train) [244][1879/1879] lr: 1.0000e-04 eta: 1:47:43 time: 0.2636 data_time: 0.0159 memory: 8198 grad_norm: 7.5359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9689 loss: 0.9689 2022/08/04 03:46:52 - mmengine - INFO - Saving checkpoint at 244 epochs 2022/08/04 03:47:02 - mmengine - INFO - Epoch(train) [245][20/1879] lr: 1.0000e-04 eta: 1:47:32 time: 0.3630 data_time: 0.0999 memory: 8198 grad_norm: 7.2536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8547 loss: 0.8547 2022/08/04 03:47:08 - mmengine - INFO - Epoch(train) [245][40/1879] lr: 1.0000e-04 eta: 1:47:26 time: 0.2935 data_time: 0.0250 memory: 8198 grad_norm: 7.3511 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/08/04 03:47:14 - mmengine - INFO - Epoch(train) [245][60/1879] lr: 1.0000e-04 eta: 1:47:20 time: 0.2938 data_time: 0.0218 memory: 8198 grad_norm: 7.5416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0583 loss: 1.0583 2022/08/04 03:47:20 - mmengine - INFO - Epoch(train) [245][80/1879] lr: 1.0000e-04 eta: 1:47:15 time: 0.2924 data_time: 0.0276 memory: 8198 grad_norm: 7.5686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/08/04 03:47:26 - mmengine - INFO - Epoch(train) [245][100/1879] lr: 1.0000e-04 eta: 1:47:09 time: 0.2841 data_time: 0.0244 memory: 8198 grad_norm: 7.2336 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0076 loss: 1.0076 2022/08/04 03:47:32 - mmengine - INFO - Epoch(train) [245][120/1879] lr: 1.0000e-04 eta: 1:47:03 time: 0.2998 data_time: 0.0197 memory: 8198 grad_norm: 7.1915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/08/04 03:47:38 - mmengine - INFO - Epoch(train) [245][140/1879] lr: 1.0000e-04 eta: 1:46:57 time: 0.2930 data_time: 0.0225 memory: 8198 grad_norm: 7.7756 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/04 03:47:43 - mmengine - INFO - Epoch(train) [245][160/1879] lr: 1.0000e-04 eta: 1:46:52 time: 0.2865 data_time: 0.0223 memory: 8198 grad_norm: 7.1715 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9864 loss: 0.9864 2022/08/04 03:47:49 - mmengine - INFO - Epoch(train) [245][180/1879] lr: 1.0000e-04 eta: 1:46:46 time: 0.2832 data_time: 0.0198 memory: 8198 grad_norm: 7.5002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9684 loss: 0.9684 2022/08/04 03:47:55 - mmengine - INFO - Epoch(train) [245][200/1879] lr: 1.0000e-04 eta: 1:46:40 time: 0.3094 data_time: 0.0208 memory: 8198 grad_norm: 7.2692 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0457 loss: 1.0457 2022/08/04 03:48:01 - mmengine - INFO - Epoch(train) [245][220/1879] lr: 1.0000e-04 eta: 1:46:35 time: 0.2843 data_time: 0.0208 memory: 8198 grad_norm: 7.4261 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7779 loss: 0.7779 2022/08/04 03:48:07 - mmengine - INFO - Epoch(train) [245][240/1879] lr: 1.0000e-04 eta: 1:46:29 time: 0.2845 data_time: 0.0246 memory: 8198 grad_norm: 7.3032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8098 loss: 0.8098 2022/08/04 03:48:13 - mmengine - INFO - Epoch(train) [245][260/1879] lr: 1.0000e-04 eta: 1:46:23 time: 0.3035 data_time: 0.0210 memory: 8198 grad_norm: 7.6380 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9589 loss: 0.9589 2022/08/04 03:48:19 - mmengine - INFO - Epoch(train) [245][280/1879] lr: 1.0000e-04 eta: 1:46:17 time: 0.2853 data_time: 0.0218 memory: 8198 grad_norm: 7.2553 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9697 loss: 0.9697 2022/08/04 03:48:25 - mmengine - INFO - Epoch(train) [245][300/1879] lr: 1.0000e-04 eta: 1:46:12 time: 0.3010 data_time: 0.0230 memory: 8198 grad_norm: 7.2128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8800 loss: 0.8800 2022/08/04 03:48:30 - mmengine - INFO - Epoch(train) [245][320/1879] lr: 1.0000e-04 eta: 1:46:06 time: 0.2896 data_time: 0.0217 memory: 8198 grad_norm: 7.3401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0604 loss: 1.0604 2022/08/04 03:48:36 - mmengine - INFO - Epoch(train) [245][340/1879] lr: 1.0000e-04 eta: 1:46:00 time: 0.2855 data_time: 0.0194 memory: 8198 grad_norm: 7.4904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8510 loss: 0.8510 2022/08/04 03:48:42 - mmengine - INFO - Epoch(train) [245][360/1879] lr: 1.0000e-04 eta: 1:45:55 time: 0.2957 data_time: 0.0234 memory: 8198 grad_norm: 7.5397 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/08/04 03:48:48 - mmengine - INFO - Epoch(train) [245][380/1879] lr: 1.0000e-04 eta: 1:45:49 time: 0.2864 data_time: 0.0203 memory: 8198 grad_norm: 7.2384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/08/04 03:48:54 - mmengine - INFO - Epoch(train) [245][400/1879] lr: 1.0000e-04 eta: 1:45:43 time: 0.2927 data_time: 0.0248 memory: 8198 grad_norm: 7.2121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9703 loss: 0.9703 2022/08/04 03:49:00 - mmengine - INFO - Epoch(train) [245][420/1879] lr: 1.0000e-04 eta: 1:45:37 time: 0.2959 data_time: 0.0269 memory: 8198 grad_norm: 7.5837 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8771 loss: 0.8771 2022/08/04 03:49:05 - mmengine - INFO - Epoch(train) [245][440/1879] lr: 1.0000e-04 eta: 1:45:32 time: 0.2884 data_time: 0.0298 memory: 8198 grad_norm: 7.4358 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9810 loss: 0.9810 2022/08/04 03:49:11 - mmengine - INFO - Epoch(train) [245][460/1879] lr: 1.0000e-04 eta: 1:45:26 time: 0.2853 data_time: 0.0211 memory: 8198 grad_norm: 7.4162 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 0.9952 loss: 0.9952 2022/08/04 03:49:17 - mmengine - INFO - Epoch(train) [245][480/1879] lr: 1.0000e-04 eta: 1:45:20 time: 0.2831 data_time: 0.0186 memory: 8198 grad_norm: 7.3685 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9681 loss: 0.9681 2022/08/04 03:49:23 - mmengine - INFO - Epoch(train) [245][500/1879] lr: 1.0000e-04 eta: 1:45:14 time: 0.3019 data_time: 0.0209 memory: 8198 grad_norm: 7.1826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9079 loss: 0.9079 2022/08/04 03:49:29 - mmengine - INFO - Epoch(train) [245][520/1879] lr: 1.0000e-04 eta: 1:45:09 time: 0.2861 data_time: 0.0196 memory: 8198 grad_norm: 7.4616 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2040 loss: 1.2040 2022/08/04 03:49:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:49:34 - mmengine - INFO - Epoch(train) [245][540/1879] lr: 1.0000e-04 eta: 1:45:03 time: 0.2845 data_time: 0.0184 memory: 8198 grad_norm: 7.4655 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/04 03:49:40 - mmengine - INFO - Epoch(train) [245][560/1879] lr: 1.0000e-04 eta: 1:44:57 time: 0.2966 data_time: 0.0242 memory: 8198 grad_norm: 7.2657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8939 loss: 0.8939 2022/08/04 03:49:46 - mmengine - INFO - Epoch(train) [245][580/1879] lr: 1.0000e-04 eta: 1:44:52 time: 0.2854 data_time: 0.0217 memory: 8198 grad_norm: 7.4879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9790 loss: 0.9790 2022/08/04 03:49:52 - mmengine - INFO - Epoch(train) [245][600/1879] lr: 1.0000e-04 eta: 1:44:46 time: 0.2880 data_time: 0.0206 memory: 8198 grad_norm: 7.4764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/08/04 03:49:58 - mmengine - INFO - Epoch(train) [245][620/1879] lr: 1.0000e-04 eta: 1:44:40 time: 0.2856 data_time: 0.0238 memory: 8198 grad_norm: 7.4062 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0183 loss: 1.0183 2022/08/04 03:50:04 - mmengine - INFO - Epoch(train) [245][640/1879] lr: 1.0000e-04 eta: 1:44:34 time: 0.2917 data_time: 0.0212 memory: 8198 grad_norm: 7.4918 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9046 loss: 0.9046 2022/08/04 03:50:09 - mmengine - INFO - Epoch(train) [245][660/1879] lr: 1.0000e-04 eta: 1:44:29 time: 0.2857 data_time: 0.0221 memory: 8198 grad_norm: 7.4218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/08/04 03:50:15 - mmengine - INFO - Epoch(train) [245][680/1879] lr: 1.0000e-04 eta: 1:44:23 time: 0.2884 data_time: 0.0252 memory: 8198 grad_norm: 7.3976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7528 loss: 0.7528 2022/08/04 03:50:21 - mmengine - INFO - Epoch(train) [245][700/1879] lr: 1.0000e-04 eta: 1:44:17 time: 0.2944 data_time: 0.0265 memory: 8198 grad_norm: 7.4456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/04 03:50:27 - mmengine - INFO - Epoch(train) [245][720/1879] lr: 1.0000e-04 eta: 1:44:11 time: 0.2864 data_time: 0.0237 memory: 8198 grad_norm: 7.3998 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0214 loss: 1.0214 2022/08/04 03:50:33 - mmengine - INFO - Epoch(train) [245][740/1879] lr: 1.0000e-04 eta: 1:44:06 time: 0.2892 data_time: 0.0228 memory: 8198 grad_norm: 7.4265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8550 loss: 0.8550 2022/08/04 03:50:38 - mmengine - INFO - Epoch(train) [245][760/1879] lr: 1.0000e-04 eta: 1:44:00 time: 0.2890 data_time: 0.0204 memory: 8198 grad_norm: 7.2888 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9443 loss: 0.9443 2022/08/04 03:50:44 - mmengine - INFO - Epoch(train) [245][780/1879] lr: 1.0000e-04 eta: 1:43:54 time: 0.2933 data_time: 0.0222 memory: 8198 grad_norm: 7.4333 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7998 loss: 0.7998 2022/08/04 03:50:50 - mmengine - INFO - Epoch(train) [245][800/1879] lr: 1.0000e-04 eta: 1:43:49 time: 0.2861 data_time: 0.0193 memory: 8198 grad_norm: 7.2163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9746 loss: 0.9746 2022/08/04 03:50:56 - mmengine - INFO - Epoch(train) [245][820/1879] lr: 1.0000e-04 eta: 1:43:43 time: 0.2847 data_time: 0.0176 memory: 8198 grad_norm: 7.4628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/08/04 03:51:02 - mmengine - INFO - Epoch(train) [245][840/1879] lr: 1.0000e-04 eta: 1:43:37 time: 0.2855 data_time: 0.0176 memory: 8198 grad_norm: 7.3724 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9178 loss: 0.9178 2022/08/04 03:51:07 - mmengine - INFO - Epoch(train) [245][860/1879] lr: 1.0000e-04 eta: 1:43:31 time: 0.2861 data_time: 0.0227 memory: 8198 grad_norm: 7.4353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9267 loss: 0.9267 2022/08/04 03:51:13 - mmengine - INFO - Epoch(train) [245][880/1879] lr: 1.0000e-04 eta: 1:43:26 time: 0.2840 data_time: 0.0222 memory: 8198 grad_norm: 7.9478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/04 03:51:19 - mmengine - INFO - Epoch(train) [245][900/1879] lr: 1.0000e-04 eta: 1:43:20 time: 0.2853 data_time: 0.0196 memory: 8198 grad_norm: 7.4134 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9938 loss: 0.9938 2022/08/04 03:51:25 - mmengine - INFO - Epoch(train) [245][920/1879] lr: 1.0000e-04 eta: 1:43:14 time: 0.2876 data_time: 0.0252 memory: 8198 grad_norm: 7.6020 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8164 loss: 0.8164 2022/08/04 03:51:30 - mmengine - INFO - Epoch(train) [245][940/1879] lr: 1.0000e-04 eta: 1:43:08 time: 0.2911 data_time: 0.0216 memory: 8198 grad_norm: 7.5013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9577 loss: 0.9577 2022/08/04 03:51:36 - mmengine - INFO - Epoch(train) [245][960/1879] lr: 1.0000e-04 eta: 1:43:03 time: 0.2863 data_time: 0.0232 memory: 8198 grad_norm: 7.2755 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8956 loss: 0.8956 2022/08/04 03:51:42 - mmengine - INFO - Epoch(train) [245][980/1879] lr: 1.0000e-04 eta: 1:42:57 time: 0.2938 data_time: 0.0299 memory: 8198 grad_norm: 7.5988 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9454 loss: 0.9454 2022/08/04 03:51:48 - mmengine - INFO - Epoch(train) [245][1000/1879] lr: 1.0000e-04 eta: 1:42:51 time: 0.2845 data_time: 0.0172 memory: 8198 grad_norm: 7.3413 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/08/04 03:51:53 - mmengine - INFO - Epoch(train) [245][1020/1879] lr: 1.0000e-04 eta: 1:42:46 time: 0.2844 data_time: 0.0183 memory: 8198 grad_norm: 7.6444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0049 loss: 1.0049 2022/08/04 03:51:59 - mmengine - INFO - Epoch(train) [245][1040/1879] lr: 1.0000e-04 eta: 1:42:40 time: 0.2880 data_time: 0.0234 memory: 8198 grad_norm: 7.1143 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9758 loss: 0.9758 2022/08/04 03:52:05 - mmengine - INFO - Epoch(train) [245][1060/1879] lr: 1.0000e-04 eta: 1:42:34 time: 0.2909 data_time: 0.0266 memory: 8198 grad_norm: 7.3145 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8237 loss: 0.8237 2022/08/04 03:52:11 - mmengine - INFO - Epoch(train) [245][1080/1879] lr: 1.0000e-04 eta: 1:42:28 time: 0.2857 data_time: 0.0236 memory: 8198 grad_norm: 7.4420 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1195 loss: 1.1195 2022/08/04 03:52:17 - mmengine - INFO - Epoch(train) [245][1100/1879] lr: 1.0000e-04 eta: 1:42:23 time: 0.2871 data_time: 0.0234 memory: 8198 grad_norm: 7.3536 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9022 loss: 0.9022 2022/08/04 03:52:22 - mmengine - INFO - Epoch(train) [245][1120/1879] lr: 1.0000e-04 eta: 1:42:17 time: 0.2918 data_time: 0.0269 memory: 8198 grad_norm: 7.5668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9257 loss: 0.9257 2022/08/04 03:52:28 - mmengine - INFO - Epoch(train) [245][1140/1879] lr: 1.0000e-04 eta: 1:42:11 time: 0.2853 data_time: 0.0223 memory: 8198 grad_norm: 7.3781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1567 loss: 1.1567 2022/08/04 03:52:34 - mmengine - INFO - Epoch(train) [245][1160/1879] lr: 1.0000e-04 eta: 1:42:05 time: 0.2938 data_time: 0.0189 memory: 8198 grad_norm: 7.5416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9527 loss: 0.9527 2022/08/04 03:52:40 - mmengine - INFO - Epoch(train) [245][1180/1879] lr: 1.0000e-04 eta: 1:42:00 time: 0.2944 data_time: 0.0213 memory: 8198 grad_norm: 7.5055 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9004 loss: 0.9004 2022/08/04 03:52:46 - mmengine - INFO - Epoch(train) [245][1200/1879] lr: 1.0000e-04 eta: 1:41:54 time: 0.2911 data_time: 0.0209 memory: 8198 grad_norm: 7.1997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9250 loss: 0.9250 2022/08/04 03:52:52 - mmengine - INFO - Epoch(train) [245][1220/1879] lr: 1.0000e-04 eta: 1:41:48 time: 0.2833 data_time: 0.0224 memory: 8198 grad_norm: 7.2063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7736 loss: 0.7736 2022/08/04 03:52:57 - mmengine - INFO - Epoch(train) [245][1240/1879] lr: 1.0000e-04 eta: 1:41:43 time: 0.2869 data_time: 0.0221 memory: 8198 grad_norm: 7.5469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8353 loss: 0.8353 2022/08/04 03:53:03 - mmengine - INFO - Epoch(train) [245][1260/1879] lr: 1.0000e-04 eta: 1:41:37 time: 0.2900 data_time: 0.0243 memory: 8198 grad_norm: 7.1838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9036 loss: 0.9036 2022/08/04 03:53:09 - mmengine - INFO - Epoch(train) [245][1280/1879] lr: 1.0000e-04 eta: 1:41:31 time: 0.2876 data_time: 0.0185 memory: 8198 grad_norm: 7.3758 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8432 loss: 0.8432 2022/08/04 03:53:15 - mmengine - INFO - Epoch(train) [245][1300/1879] lr: 1.0000e-04 eta: 1:41:25 time: 0.2861 data_time: 0.0212 memory: 8198 grad_norm: 7.5265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9126 loss: 0.9126 2022/08/04 03:53:21 - mmengine - INFO - Epoch(train) [245][1320/1879] lr: 1.0000e-04 eta: 1:41:20 time: 0.3059 data_time: 0.0246 memory: 8198 grad_norm: 7.2550 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7762 loss: 0.7762 2022/08/04 03:53:27 - mmengine - INFO - Epoch(train) [245][1340/1879] lr: 1.0000e-04 eta: 1:41:14 time: 0.2831 data_time: 0.0217 memory: 8198 grad_norm: 7.5269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9938 loss: 0.9938 2022/08/04 03:53:32 - mmengine - INFO - Epoch(train) [245][1360/1879] lr: 1.0000e-04 eta: 1:41:08 time: 0.2848 data_time: 0.0198 memory: 8198 grad_norm: 7.3292 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0333 loss: 1.0333 2022/08/04 03:53:38 - mmengine - INFO - Epoch(train) [245][1380/1879] lr: 1.0000e-04 eta: 1:41:02 time: 0.2849 data_time: 0.0186 memory: 8198 grad_norm: 7.2446 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8833 loss: 0.8833 2022/08/04 03:53:44 - mmengine - INFO - Epoch(train) [245][1400/1879] lr: 1.0000e-04 eta: 1:40:57 time: 0.2894 data_time: 0.0253 memory: 8198 grad_norm: 7.4388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8579 loss: 0.8579 2022/08/04 03:53:50 - mmengine - INFO - Epoch(train) [245][1420/1879] lr: 1.0000e-04 eta: 1:40:51 time: 0.2872 data_time: 0.0207 memory: 8198 grad_norm: 7.4941 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9628 loss: 0.9628 2022/08/04 03:53:55 - mmengine - INFO - Epoch(train) [245][1440/1879] lr: 1.0000e-04 eta: 1:40:45 time: 0.2919 data_time: 0.0275 memory: 8198 grad_norm: 7.4015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9384 loss: 0.9384 2022/08/04 03:54:01 - mmengine - INFO - Epoch(train) [245][1460/1879] lr: 1.0000e-04 eta: 1:40:40 time: 0.2874 data_time: 0.0219 memory: 8198 grad_norm: 7.2736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0667 loss: 1.0667 2022/08/04 03:54:07 - mmengine - INFO - Epoch(train) [245][1480/1879] lr: 1.0000e-04 eta: 1:40:34 time: 0.2853 data_time: 0.0240 memory: 8198 grad_norm: 7.2701 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/08/04 03:54:13 - mmengine - INFO - Epoch(train) [245][1500/1879] lr: 1.0000e-04 eta: 1:40:28 time: 0.2936 data_time: 0.0235 memory: 8198 grad_norm: 7.5750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0545 loss: 1.0545 2022/08/04 03:54:19 - mmengine - INFO - Epoch(train) [245][1520/1879] lr: 1.0000e-04 eta: 1:40:22 time: 0.2849 data_time: 0.0198 memory: 8198 grad_norm: 7.4930 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0620 loss: 1.0620 2022/08/04 03:54:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:54:25 - mmengine - INFO - Epoch(train) [245][1540/1879] lr: 1.0000e-04 eta: 1:40:17 time: 0.2867 data_time: 0.0221 memory: 8198 grad_norm: 7.5182 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9985 loss: 0.9985 2022/08/04 03:54:31 - mmengine - INFO - Epoch(train) [245][1560/1879] lr: 1.0000e-04 eta: 1:40:11 time: 0.3052 data_time: 0.0276 memory: 8198 grad_norm: 7.3515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9031 loss: 0.9031 2022/08/04 03:54:36 - mmengine - INFO - Epoch(train) [245][1580/1879] lr: 1.0000e-04 eta: 1:40:05 time: 0.2846 data_time: 0.0221 memory: 8198 grad_norm: 7.5138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8096 loss: 0.8096 2022/08/04 03:54:42 - mmengine - INFO - Epoch(train) [245][1600/1879] lr: 1.0000e-04 eta: 1:39:59 time: 0.2907 data_time: 0.0225 memory: 8198 grad_norm: 7.2733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8842 loss: 0.8842 2022/08/04 03:54:48 - mmengine - INFO - Epoch(train) [245][1620/1879] lr: 1.0000e-04 eta: 1:39:54 time: 0.2828 data_time: 0.0183 memory: 8198 grad_norm: 7.2165 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/04 03:54:54 - mmengine - INFO - Epoch(train) [245][1640/1879] lr: 1.0000e-04 eta: 1:39:48 time: 0.2941 data_time: 0.0242 memory: 8198 grad_norm: 7.5246 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0493 loss: 1.0493 2022/08/04 03:54:59 - mmengine - INFO - Epoch(train) [245][1660/1879] lr: 1.0000e-04 eta: 1:39:42 time: 0.2870 data_time: 0.0224 memory: 8198 grad_norm: 7.2596 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8566 loss: 0.8566 2022/08/04 03:55:05 - mmengine - INFO - Epoch(train) [245][1680/1879] lr: 1.0000e-04 eta: 1:39:37 time: 0.2861 data_time: 0.0253 memory: 8198 grad_norm: 7.4556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0207 loss: 1.0207 2022/08/04 03:55:11 - mmengine - INFO - Epoch(train) [245][1700/1879] lr: 1.0000e-04 eta: 1:39:31 time: 0.2961 data_time: 0.0217 memory: 8198 grad_norm: 7.3223 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9498 loss: 0.9498 2022/08/04 03:55:17 - mmengine - INFO - Epoch(train) [245][1720/1879] lr: 1.0000e-04 eta: 1:39:25 time: 0.2855 data_time: 0.0246 memory: 8198 grad_norm: 7.8732 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/08/04 03:55:23 - mmengine - INFO - Epoch(train) [245][1740/1879] lr: 1.0000e-04 eta: 1:39:19 time: 0.2923 data_time: 0.0180 memory: 8198 grad_norm: 7.4644 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9131 loss: 0.9131 2022/08/04 03:55:29 - mmengine - INFO - Epoch(train) [245][1760/1879] lr: 1.0000e-04 eta: 1:39:14 time: 0.2881 data_time: 0.0246 memory: 8198 grad_norm: 7.4907 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9460 loss: 0.9460 2022/08/04 03:55:35 - mmengine - INFO - Epoch(train) [245][1780/1879] lr: 1.0000e-04 eta: 1:39:08 time: 0.2959 data_time: 0.0233 memory: 8198 grad_norm: 7.5105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9441 loss: 0.9441 2022/08/04 03:55:40 - mmengine - INFO - Epoch(train) [245][1800/1879] lr: 1.0000e-04 eta: 1:39:02 time: 0.2930 data_time: 0.0242 memory: 8198 grad_norm: 7.4148 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8412 loss: 0.8412 2022/08/04 03:55:46 - mmengine - INFO - Epoch(train) [245][1820/1879] lr: 1.0000e-04 eta: 1:38:57 time: 0.2859 data_time: 0.0207 memory: 8198 grad_norm: 7.2224 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0000 loss: 1.0000 2022/08/04 03:55:52 - mmengine - INFO - Epoch(train) [245][1840/1879] lr: 1.0000e-04 eta: 1:38:51 time: 0.2924 data_time: 0.0258 memory: 8198 grad_norm: 7.3049 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9244 loss: 0.9244 2022/08/04 03:55:58 - mmengine - INFO - Epoch(train) [245][1860/1879] lr: 1.0000e-04 eta: 1:38:45 time: 0.2840 data_time: 0.0236 memory: 8198 grad_norm: 7.2467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7950 loss: 0.7950 2022/08/04 03:56:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 03:56:03 - mmengine - INFO - Epoch(train) [245][1879/1879] lr: 1.0000e-04 eta: 1:38:45 time: 0.2707 data_time: 0.0185 memory: 8198 grad_norm: 7.4382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9145 loss: 0.9145 2022/08/04 03:56:09 - mmengine - INFO - Epoch(val) [245][20/155] eta: 0:00:42 time: 0.3162 data_time: 0.2266 memory: 1514 2022/08/04 03:56:14 - mmengine - INFO - Epoch(val) [245][40/155] eta: 0:00:27 time: 0.2397 data_time: 0.1515 memory: 1514 2022/08/04 03:56:20 - mmengine - INFO - Epoch(val) [245][60/155] eta: 0:00:27 time: 0.2925 data_time: 0.2061 memory: 1514 2022/08/04 03:56:25 - mmengine - INFO - Epoch(val) [245][80/155] eta: 0:00:17 time: 0.2367 data_time: 0.1404 memory: 1514 2022/08/04 03:56:31 - mmengine - INFO - Epoch(val) [245][100/155] eta: 0:00:16 time: 0.3047 data_time: 0.2174 memory: 1514 2022/08/04 03:56:35 - mmengine - INFO - Epoch(val) [245][120/155] eta: 0:00:07 time: 0.2284 data_time: 0.1410 memory: 1514 2022/08/04 03:56:41 - mmengine - INFO - Epoch(val) [245][140/155] eta: 0:00:04 time: 0.2953 data_time: 0.2084 memory: 1514 2022/08/04 03:56:46 - mmengine - INFO - Epoch(val) [245][155/155] acc/top1: 0.6798 acc/top5: 0.8682 acc/mean1: 0.6797 2022/08/04 03:56:55 - mmengine - INFO - Epoch(train) [246][20/1879] lr: 1.0000e-04 eta: 1:38:34 time: 0.4163 data_time: 0.0956 memory: 8198 grad_norm: 7.6167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9891 loss: 0.9891 2022/08/04 03:57:01 - mmengine - INFO - Epoch(train) [246][40/1879] lr: 1.0000e-04 eta: 1:38:28 time: 0.3002 data_time: 0.0272 memory: 8198 grad_norm: 7.5098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8596 loss: 0.8596 2022/08/04 03:57:07 - mmengine - INFO - Epoch(train) [246][60/1879] lr: 1.0000e-04 eta: 1:38:22 time: 0.2889 data_time: 0.0211 memory: 8198 grad_norm: 7.4123 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8832 loss: 0.8832 2022/08/04 03:57:13 - mmengine - INFO - Epoch(train) [246][80/1879] lr: 1.0000e-04 eta: 1:38:17 time: 0.2897 data_time: 0.0237 memory: 8198 grad_norm: 7.2962 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9728 loss: 0.9728 2022/08/04 03:57:18 - mmengine - INFO - Epoch(train) [246][100/1879] lr: 1.0000e-04 eta: 1:38:11 time: 0.2866 data_time: 0.0217 memory: 8198 grad_norm: 7.5182 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0133 loss: 1.0133 2022/08/04 03:57:24 - mmengine - INFO - Epoch(train) [246][120/1879] lr: 1.0000e-04 eta: 1:38:05 time: 0.2857 data_time: 0.0228 memory: 8198 grad_norm: 7.3331 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9786 loss: 0.9786 2022/08/04 03:57:30 - mmengine - INFO - Epoch(train) [246][140/1879] lr: 1.0000e-04 eta: 1:37:59 time: 0.2873 data_time: 0.0246 memory: 8198 grad_norm: 7.3985 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8607 loss: 0.8607 2022/08/04 03:57:36 - mmengine - INFO - Epoch(train) [246][160/1879] lr: 1.0000e-04 eta: 1:37:54 time: 0.2900 data_time: 0.0225 memory: 8198 grad_norm: 7.3857 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8955 loss: 0.8955 2022/08/04 03:57:42 - mmengine - INFO - Epoch(train) [246][180/1879] lr: 1.0000e-04 eta: 1:37:48 time: 0.2989 data_time: 0.0210 memory: 8198 grad_norm: 7.5628 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9355 loss: 0.9355 2022/08/04 03:57:47 - mmengine - INFO - Epoch(train) [246][200/1879] lr: 1.0000e-04 eta: 1:37:42 time: 0.2875 data_time: 0.0218 memory: 8198 grad_norm: 7.3911 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0132 loss: 1.0132 2022/08/04 03:57:53 - mmengine - INFO - Epoch(train) [246][220/1879] lr: 1.0000e-04 eta: 1:37:37 time: 0.2980 data_time: 0.0225 memory: 8198 grad_norm: 7.4669 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9391 loss: 0.9391 2022/08/04 03:57:59 - mmengine - INFO - Epoch(train) [246][240/1879] lr: 1.0000e-04 eta: 1:37:31 time: 0.2865 data_time: 0.0196 memory: 8198 grad_norm: 7.4881 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8345 loss: 0.8345 2022/08/04 03:58:05 - mmengine - INFO - Epoch(train) [246][260/1879] lr: 1.0000e-04 eta: 1:37:25 time: 0.2847 data_time: 0.0203 memory: 8198 grad_norm: 7.7294 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9855 loss: 0.9855 2022/08/04 03:58:11 - mmengine - INFO - Epoch(train) [246][280/1879] lr: 1.0000e-04 eta: 1:37:19 time: 0.2944 data_time: 0.0279 memory: 8198 grad_norm: 7.3141 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8481 loss: 0.8481 2022/08/04 03:58:17 - mmengine - INFO - Epoch(train) [246][300/1879] lr: 1.0000e-04 eta: 1:37:14 time: 0.2875 data_time: 0.0246 memory: 8198 grad_norm: 7.1760 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8747 loss: 0.8747 2022/08/04 03:58:22 - mmengine - INFO - Epoch(train) [246][320/1879] lr: 1.0000e-04 eta: 1:37:08 time: 0.2872 data_time: 0.0185 memory: 8198 grad_norm: 7.6027 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0300 loss: 1.0300 2022/08/04 03:58:28 - mmengine - INFO - Epoch(train) [246][340/1879] lr: 1.0000e-04 eta: 1:37:02 time: 0.2856 data_time: 0.0230 memory: 8198 grad_norm: 7.2563 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/08/04 03:58:34 - mmengine - INFO - Epoch(train) [246][360/1879] lr: 1.0000e-04 eta: 1:36:56 time: 0.2911 data_time: 0.0219 memory: 8198 grad_norm: 7.3742 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7730 loss: 0.7730 2022/08/04 03:58:40 - mmengine - INFO - Epoch(train) [246][380/1879] lr: 1.0000e-04 eta: 1:36:51 time: 0.3004 data_time: 0.0408 memory: 8198 grad_norm: 7.5797 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0433 loss: 1.0433 2022/08/04 03:58:46 - mmengine - INFO - Epoch(train) [246][400/1879] lr: 1.0000e-04 eta: 1:36:45 time: 0.2864 data_time: 0.0177 memory: 8198 grad_norm: 7.5791 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0656 loss: 1.0656 2022/08/04 03:58:52 - mmengine - INFO - Epoch(train) [246][420/1879] lr: 1.0000e-04 eta: 1:36:39 time: 0.2952 data_time: 0.0249 memory: 8198 grad_norm: 7.5060 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8596 loss: 0.8596 2022/08/04 03:58:57 - mmengine - INFO - Epoch(train) [246][440/1879] lr: 1.0000e-04 eta: 1:36:34 time: 0.2851 data_time: 0.0162 memory: 8198 grad_norm: 7.3759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8643 loss: 0.8643 2022/08/04 03:59:03 - mmengine - INFO - Epoch(train) [246][460/1879] lr: 1.0000e-04 eta: 1:36:28 time: 0.2897 data_time: 0.0272 memory: 8198 grad_norm: 7.6016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9521 loss: 0.9521 2022/08/04 03:59:09 - mmengine - INFO - Epoch(train) [246][480/1879] lr: 1.0000e-04 eta: 1:36:22 time: 0.2838 data_time: 0.0200 memory: 8198 grad_norm: 7.4440 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9905 loss: 0.9905 2022/08/04 03:59:15 - mmengine - INFO - Epoch(train) [246][500/1879] lr: 1.0000e-04 eta: 1:36:16 time: 0.2960 data_time: 0.0233 memory: 8198 grad_norm: 7.5013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9390 loss: 0.9390 2022/08/04 03:59:21 - mmengine - INFO - Epoch(train) [246][520/1879] lr: 1.0000e-04 eta: 1:36:11 time: 0.2839 data_time: 0.0201 memory: 8198 grad_norm: 7.5640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8222 loss: 0.8222 2022/08/04 03:59:26 - mmengine - INFO - Epoch(train) [246][540/1879] lr: 1.0000e-04 eta: 1:36:05 time: 0.2899 data_time: 0.0253 memory: 8198 grad_norm: 7.3477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9294 loss: 0.9294 2022/08/04 03:59:32 - mmengine - INFO - Epoch(train) [246][560/1879] lr: 1.0000e-04 eta: 1:35:59 time: 0.2908 data_time: 0.0232 memory: 8198 grad_norm: 7.2865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8896 loss: 0.8896 2022/08/04 03:59:38 - mmengine - INFO - Epoch(train) [246][580/1879] lr: 1.0000e-04 eta: 1:35:53 time: 0.2867 data_time: 0.0225 memory: 8198 grad_norm: 7.3832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7423 loss: 0.7423 2022/08/04 03:59:44 - mmengine - INFO - Epoch(train) [246][600/1879] lr: 1.0000e-04 eta: 1:35:48 time: 0.2861 data_time: 0.0190 memory: 8198 grad_norm: 7.4475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8441 loss: 0.8441 2022/08/04 03:59:50 - mmengine - INFO - Epoch(train) [246][620/1879] lr: 1.0000e-04 eta: 1:35:42 time: 0.2919 data_time: 0.0185 memory: 8198 grad_norm: 7.6411 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0303 loss: 1.0303 2022/08/04 03:59:56 - mmengine - INFO - Epoch(train) [246][640/1879] lr: 1.0000e-04 eta: 1:35:36 time: 0.2887 data_time: 0.0235 memory: 8198 grad_norm: 7.5861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0885 loss: 1.0885 2022/08/04 03:59:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:00:01 - mmengine - INFO - Epoch(train) [246][660/1879] lr: 1.0000e-04 eta: 1:35:31 time: 0.2893 data_time: 0.0239 memory: 8198 grad_norm: 7.3729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/08/04 04:00:07 - mmengine - INFO - Epoch(train) [246][680/1879] lr: 1.0000e-04 eta: 1:35:25 time: 0.2848 data_time: 0.0251 memory: 8198 grad_norm: 7.3878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8928 loss: 0.8928 2022/08/04 04:00:13 - mmengine - INFO - Epoch(train) [246][700/1879] lr: 1.0000e-04 eta: 1:35:19 time: 0.2972 data_time: 0.0262 memory: 8198 grad_norm: 7.7548 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0612 loss: 1.0612 2022/08/04 04:00:19 - mmengine - INFO - Epoch(train) [246][720/1879] lr: 1.0000e-04 eta: 1:35:13 time: 0.2820 data_time: 0.0211 memory: 8198 grad_norm: 7.5159 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9291 loss: 0.9291 2022/08/04 04:00:25 - mmengine - INFO - Epoch(train) [246][740/1879] lr: 1.0000e-04 eta: 1:35:08 time: 0.2935 data_time: 0.0259 memory: 8198 grad_norm: 7.5496 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8951 loss: 0.8951 2022/08/04 04:00:30 - mmengine - INFO - Epoch(train) [246][760/1879] lr: 1.0000e-04 eta: 1:35:02 time: 0.2844 data_time: 0.0188 memory: 8198 grad_norm: 7.3414 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9774 loss: 0.9774 2022/08/04 04:00:36 - mmengine - INFO - Epoch(train) [246][780/1879] lr: 1.0000e-04 eta: 1:34:56 time: 0.2868 data_time: 0.0256 memory: 8198 grad_norm: 7.5114 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7989 loss: 0.7989 2022/08/04 04:00:42 - mmengine - INFO - Epoch(train) [246][800/1879] lr: 1.0000e-04 eta: 1:34:50 time: 0.2861 data_time: 0.0229 memory: 8198 grad_norm: 7.5435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9646 loss: 0.9646 2022/08/04 04:00:48 - mmengine - INFO - Epoch(train) [246][820/1879] lr: 1.0000e-04 eta: 1:34:45 time: 0.2855 data_time: 0.0216 memory: 8198 grad_norm: 7.5956 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0519 loss: 1.0519 2022/08/04 04:00:53 - mmengine - INFO - Epoch(train) [246][840/1879] lr: 1.0000e-04 eta: 1:34:39 time: 0.2915 data_time: 0.0271 memory: 8198 grad_norm: 7.4532 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/08/04 04:00:59 - mmengine - INFO - Epoch(train) [246][860/1879] lr: 1.0000e-04 eta: 1:34:33 time: 0.2876 data_time: 0.0204 memory: 8198 grad_norm: 7.5163 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9163 loss: 0.9163 2022/08/04 04:01:05 - mmengine - INFO - Epoch(train) [246][880/1879] lr: 1.0000e-04 eta: 1:34:28 time: 0.2851 data_time: 0.0221 memory: 8198 grad_norm: 7.3929 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8418 loss: 0.8418 2022/08/04 04:01:11 - mmengine - INFO - Epoch(train) [246][900/1879] lr: 1.0000e-04 eta: 1:34:22 time: 0.2885 data_time: 0.0242 memory: 8198 grad_norm: 7.3263 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9511 loss: 0.9511 2022/08/04 04:01:17 - mmengine - INFO - Epoch(train) [246][920/1879] lr: 1.0000e-04 eta: 1:34:16 time: 0.2887 data_time: 0.0210 memory: 8198 grad_norm: 7.3215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8681 loss: 0.8681 2022/08/04 04:01:22 - mmengine - INFO - Epoch(train) [246][940/1879] lr: 1.0000e-04 eta: 1:34:10 time: 0.2907 data_time: 0.0249 memory: 8198 grad_norm: 7.3360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8702 loss: 0.8702 2022/08/04 04:01:28 - mmengine - INFO - Epoch(train) [246][960/1879] lr: 1.0000e-04 eta: 1:34:05 time: 0.2867 data_time: 0.0227 memory: 8198 grad_norm: 7.3502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/08/04 04:01:34 - mmengine - INFO - Epoch(train) [246][980/1879] lr: 1.0000e-04 eta: 1:33:59 time: 0.2934 data_time: 0.0260 memory: 8198 grad_norm: 7.3230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/08/04 04:01:40 - mmengine - INFO - Epoch(train) [246][1000/1879] lr: 1.0000e-04 eta: 1:33:53 time: 0.2835 data_time: 0.0237 memory: 8198 grad_norm: 7.4813 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/04 04:01:46 - mmengine - INFO - Epoch(train) [246][1020/1879] lr: 1.0000e-04 eta: 1:33:47 time: 0.2952 data_time: 0.0224 memory: 8198 grad_norm: 7.3993 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/08/04 04:01:52 - mmengine - INFO - Epoch(train) [246][1040/1879] lr: 1.0000e-04 eta: 1:33:42 time: 0.2911 data_time: 0.0291 memory: 8198 grad_norm: 7.5447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9090 loss: 0.9090 2022/08/04 04:01:57 - mmengine - INFO - Epoch(train) [246][1060/1879] lr: 1.0000e-04 eta: 1:33:36 time: 0.2837 data_time: 0.0198 memory: 8198 grad_norm: 7.7151 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9220 loss: 0.9220 2022/08/04 04:02:03 - mmengine - INFO - Epoch(train) [246][1080/1879] lr: 1.0000e-04 eta: 1:33:30 time: 0.2879 data_time: 0.0224 memory: 8198 grad_norm: 7.2004 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/04 04:02:09 - mmengine - INFO - Epoch(train) [246][1100/1879] lr: 1.0000e-04 eta: 1:33:25 time: 0.2871 data_time: 0.0242 memory: 8198 grad_norm: 7.2788 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9992 loss: 0.9992 2022/08/04 04:02:15 - mmengine - INFO - Epoch(train) [246][1120/1879] lr: 1.0000e-04 eta: 1:33:19 time: 0.2903 data_time: 0.0205 memory: 8198 grad_norm: 7.5280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0117 loss: 1.0117 2022/08/04 04:02:20 - mmengine - INFO - Epoch(train) [246][1140/1879] lr: 1.0000e-04 eta: 1:33:13 time: 0.2857 data_time: 0.0211 memory: 8198 grad_norm: 7.5420 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9928 loss: 0.9928 2022/08/04 04:02:27 - mmengine - INFO - Epoch(train) [246][1160/1879] lr: 1.0000e-04 eta: 1:33:07 time: 0.3092 data_time: 0.0175 memory: 8198 grad_norm: 7.3788 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8930 loss: 0.8930 2022/08/04 04:02:32 - mmengine - INFO - Epoch(train) [246][1180/1879] lr: 1.0000e-04 eta: 1:33:02 time: 0.2880 data_time: 0.0234 memory: 8198 grad_norm: 7.5383 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9939 loss: 0.9939 2022/08/04 04:02:38 - mmengine - INFO - Epoch(train) [246][1200/1879] lr: 1.0000e-04 eta: 1:32:56 time: 0.2857 data_time: 0.0233 memory: 8198 grad_norm: 7.4008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9871 loss: 0.9871 2022/08/04 04:02:45 - mmengine - INFO - Epoch(train) [246][1220/1879] lr: 1.0000e-04 eta: 1:32:50 time: 0.3143 data_time: 0.0230 memory: 8198 grad_norm: 7.7227 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1745 loss: 1.1745 2022/08/04 04:02:50 - mmengine - INFO - Epoch(train) [246][1240/1879] lr: 1.0000e-04 eta: 1:32:45 time: 0.2839 data_time: 0.0206 memory: 8198 grad_norm: 7.1044 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8199 loss: 0.8199 2022/08/04 04:02:56 - mmengine - INFO - Epoch(train) [246][1260/1879] lr: 1.0000e-04 eta: 1:32:39 time: 0.2938 data_time: 0.0183 memory: 8198 grad_norm: 7.5760 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0000 loss: 1.0000 2022/08/04 04:03:02 - mmengine - INFO - Epoch(train) [246][1280/1879] lr: 1.0000e-04 eta: 1:32:33 time: 0.2878 data_time: 0.0223 memory: 8198 grad_norm: 7.2600 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9685 loss: 0.9685 2022/08/04 04:03:08 - mmengine - INFO - Epoch(train) [246][1300/1879] lr: 1.0000e-04 eta: 1:32:27 time: 0.2894 data_time: 0.0205 memory: 8198 grad_norm: 7.4214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9562 loss: 0.9562 2022/08/04 04:03:14 - mmengine - INFO - Epoch(train) [246][1320/1879] lr: 1.0000e-04 eta: 1:32:22 time: 0.2896 data_time: 0.0240 memory: 8198 grad_norm: 7.5792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0683 loss: 1.0683 2022/08/04 04:03:19 - mmengine - INFO - Epoch(train) [246][1340/1879] lr: 1.0000e-04 eta: 1:32:16 time: 0.2841 data_time: 0.0217 memory: 8198 grad_norm: 7.5908 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0011 loss: 1.0011 2022/08/04 04:03:25 - mmengine - INFO - Epoch(train) [246][1360/1879] lr: 1.0000e-04 eta: 1:32:10 time: 0.2932 data_time: 0.0217 memory: 8198 grad_norm: 7.5390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9543 loss: 0.9543 2022/08/04 04:03:31 - mmengine - INFO - Epoch(train) [246][1380/1879] lr: 1.0000e-04 eta: 1:32:04 time: 0.2873 data_time: 0.0231 memory: 8198 grad_norm: 7.4397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9160 loss: 0.9160 2022/08/04 04:03:37 - mmengine - INFO - Epoch(train) [246][1400/1879] lr: 1.0000e-04 eta: 1:31:59 time: 0.2875 data_time: 0.0219 memory: 8198 grad_norm: 7.2817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6910 loss: 0.6910 2022/08/04 04:03:43 - mmengine - INFO - Epoch(train) [246][1420/1879] lr: 1.0000e-04 eta: 1:31:53 time: 0.2916 data_time: 0.0261 memory: 8198 grad_norm: 7.3113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8074 loss: 0.8074 2022/08/04 04:03:48 - mmengine - INFO - Epoch(train) [246][1440/1879] lr: 1.0000e-04 eta: 1:31:47 time: 0.2854 data_time: 0.0206 memory: 8198 grad_norm: 7.3703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7294 loss: 0.7294 2022/08/04 04:03:54 - mmengine - INFO - Epoch(train) [246][1460/1879] lr: 1.0000e-04 eta: 1:31:42 time: 0.2912 data_time: 0.0288 memory: 8198 grad_norm: 7.3272 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9566 loss: 0.9566 2022/08/04 04:04:00 - mmengine - INFO - Epoch(train) [246][1480/1879] lr: 1.0000e-04 eta: 1:31:36 time: 0.2853 data_time: 0.0179 memory: 8198 grad_norm: 7.2496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0025 loss: 1.0025 2022/08/04 04:04:06 - mmengine - INFO - Epoch(train) [246][1500/1879] lr: 1.0000e-04 eta: 1:31:30 time: 0.2953 data_time: 0.0294 memory: 8198 grad_norm: 7.3651 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9551 loss: 0.9551 2022/08/04 04:04:12 - mmengine - INFO - Epoch(train) [246][1520/1879] lr: 1.0000e-04 eta: 1:31:24 time: 0.2833 data_time: 0.0179 memory: 8198 grad_norm: 7.5353 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9525 loss: 0.9525 2022/08/04 04:04:17 - mmengine - INFO - Epoch(train) [246][1540/1879] lr: 1.0000e-04 eta: 1:31:19 time: 0.2876 data_time: 0.0209 memory: 8198 grad_norm: 7.3934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0290 loss: 1.0290 2022/08/04 04:04:23 - mmengine - INFO - Epoch(train) [246][1560/1879] lr: 1.0000e-04 eta: 1:31:13 time: 0.2851 data_time: 0.0196 memory: 8198 grad_norm: 7.5734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0091 loss: 1.0091 2022/08/04 04:04:29 - mmengine - INFO - Epoch(train) [246][1580/1879] lr: 1.0000e-04 eta: 1:31:07 time: 0.2965 data_time: 0.0325 memory: 8198 grad_norm: 7.1651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9317 loss: 0.9317 2022/08/04 04:04:35 - mmengine - INFO - Epoch(train) [246][1600/1879] lr: 1.0000e-04 eta: 1:31:01 time: 0.2863 data_time: 0.0187 memory: 8198 grad_norm: 7.3279 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8869 loss: 0.8869 2022/08/04 04:04:41 - mmengine - INFO - Epoch(train) [246][1620/1879] lr: 1.0000e-04 eta: 1:30:56 time: 0.2849 data_time: 0.0223 memory: 8198 grad_norm: 7.3658 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9619 loss: 0.9619 2022/08/04 04:04:46 - mmengine - INFO - Epoch(train) [246][1640/1879] lr: 1.0000e-04 eta: 1:30:50 time: 0.2893 data_time: 0.0212 memory: 8198 grad_norm: 7.7071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0517 loss: 1.0517 2022/08/04 04:04:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:04:52 - mmengine - INFO - Epoch(train) [246][1660/1879] lr: 1.0000e-04 eta: 1:30:44 time: 0.2888 data_time: 0.0246 memory: 8198 grad_norm: 7.2196 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8347 loss: 0.8347 2022/08/04 04:04:58 - mmengine - INFO - Epoch(train) [246][1680/1879] lr: 1.0000e-04 eta: 1:30:39 time: 0.2898 data_time: 0.0223 memory: 8198 grad_norm: 7.7362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0586 loss: 1.0586 2022/08/04 04:05:04 - mmengine - INFO - Epoch(train) [246][1700/1879] lr: 1.0000e-04 eta: 1:30:33 time: 0.3040 data_time: 0.0271 memory: 8198 grad_norm: 7.5565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/08/04 04:05:10 - mmengine - INFO - Epoch(train) [246][1720/1879] lr: 1.0000e-04 eta: 1:30:27 time: 0.2839 data_time: 0.0190 memory: 8198 grad_norm: 7.2172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7390 loss: 0.7390 2022/08/04 04:05:16 - mmengine - INFO - Epoch(train) [246][1740/1879] lr: 1.0000e-04 eta: 1:30:21 time: 0.2862 data_time: 0.0246 memory: 8198 grad_norm: 7.5955 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0548 loss: 1.0548 2022/08/04 04:05:22 - mmengine - INFO - Epoch(train) [246][1760/1879] lr: 1.0000e-04 eta: 1:30:16 time: 0.3002 data_time: 0.0254 memory: 8198 grad_norm: 7.4248 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9314 loss: 0.9314 2022/08/04 04:05:27 - mmengine - INFO - Epoch(train) [246][1780/1879] lr: 1.0000e-04 eta: 1:30:10 time: 0.2816 data_time: 0.0204 memory: 8198 grad_norm: 7.6697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9661 loss: 0.9661 2022/08/04 04:05:33 - mmengine - INFO - Epoch(train) [246][1800/1879] lr: 1.0000e-04 eta: 1:30:04 time: 0.2845 data_time: 0.0195 memory: 8198 grad_norm: 7.4088 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/04 04:05:39 - mmengine - INFO - Epoch(train) [246][1820/1879] lr: 1.0000e-04 eta: 1:29:58 time: 0.2869 data_time: 0.0215 memory: 8198 grad_norm: 7.5594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8891 loss: 0.8891 2022/08/04 04:05:45 - mmengine - INFO - Epoch(train) [246][1840/1879] lr: 1.0000e-04 eta: 1:29:53 time: 0.2886 data_time: 0.0207 memory: 8198 grad_norm: 7.3426 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9096 loss: 0.9096 2022/08/04 04:05:50 - mmengine - INFO - Epoch(train) [246][1860/1879] lr: 1.0000e-04 eta: 1:29:47 time: 0.2889 data_time: 0.0206 memory: 8198 grad_norm: 7.4587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8888 loss: 0.8888 2022/08/04 04:05:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:05:55 - mmengine - INFO - Epoch(train) [246][1879/1879] lr: 1.0000e-04 eta: 1:29:47 time: 0.2603 data_time: 0.0149 memory: 8198 grad_norm: 7.7521 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.2141 loss: 1.2141 2022/08/04 04:06:04 - mmengine - INFO - Epoch(train) [247][20/1879] lr: 1.0000e-04 eta: 1:29:36 time: 0.4110 data_time: 0.1142 memory: 8198 grad_norm: 7.4742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8832 loss: 0.8832 2022/08/04 04:06:09 - mmengine - INFO - Epoch(train) [247][40/1879] lr: 1.0000e-04 eta: 1:29:30 time: 0.2889 data_time: 0.0211 memory: 8198 grad_norm: 7.5123 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9868 loss: 0.9868 2022/08/04 04:06:15 - mmengine - INFO - Epoch(train) [247][60/1879] lr: 1.0000e-04 eta: 1:29:24 time: 0.2904 data_time: 0.0242 memory: 8198 grad_norm: 7.8018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1003 loss: 1.1003 2022/08/04 04:06:21 - mmengine - INFO - Epoch(train) [247][80/1879] lr: 1.0000e-04 eta: 1:29:19 time: 0.2859 data_time: 0.0197 memory: 8198 grad_norm: 7.3883 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6795 loss: 0.6795 2022/08/04 04:06:27 - mmengine - INFO - Epoch(train) [247][100/1879] lr: 1.0000e-04 eta: 1:29:13 time: 0.2883 data_time: 0.0227 memory: 8198 grad_norm: 7.2111 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/04 04:06:33 - mmengine - INFO - Epoch(train) [247][120/1879] lr: 1.0000e-04 eta: 1:29:07 time: 0.3072 data_time: 0.0197 memory: 8198 grad_norm: 7.4966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8816 loss: 0.8816 2022/08/04 04:06:39 - mmengine - INFO - Epoch(train) [247][140/1879] lr: 1.0000e-04 eta: 1:29:01 time: 0.2841 data_time: 0.0233 memory: 8198 grad_norm: 7.4574 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9785 loss: 0.9785 2022/08/04 04:06:45 - mmengine - INFO - Epoch(train) [247][160/1879] lr: 1.0000e-04 eta: 1:28:56 time: 0.2903 data_time: 0.0224 memory: 8198 grad_norm: 7.5866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9159 loss: 0.9159 2022/08/04 04:06:50 - mmengine - INFO - Epoch(train) [247][180/1879] lr: 1.0000e-04 eta: 1:28:50 time: 0.2905 data_time: 0.0285 memory: 8198 grad_norm: 7.6042 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8755 loss: 0.8755 2022/08/04 04:06:56 - mmengine - INFO - Epoch(train) [247][200/1879] lr: 1.0000e-04 eta: 1:28:44 time: 0.2883 data_time: 0.0232 memory: 8198 grad_norm: 7.4543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/08/04 04:07:02 - mmengine - INFO - Epoch(train) [247][220/1879] lr: 1.0000e-04 eta: 1:28:38 time: 0.2962 data_time: 0.0248 memory: 8198 grad_norm: 7.4771 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0416 loss: 1.0416 2022/08/04 04:07:08 - mmengine - INFO - Epoch(train) [247][240/1879] lr: 1.0000e-04 eta: 1:28:33 time: 0.2849 data_time: 0.0213 memory: 8198 grad_norm: 7.4912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/08/04 04:07:14 - mmengine - INFO - Epoch(train) [247][260/1879] lr: 1.0000e-04 eta: 1:28:27 time: 0.2911 data_time: 0.0247 memory: 8198 grad_norm: 7.5693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8527 loss: 0.8527 2022/08/04 04:07:20 - mmengine - INFO - Epoch(train) [247][280/1879] lr: 1.0000e-04 eta: 1:28:21 time: 0.2877 data_time: 0.0230 memory: 8198 grad_norm: 7.5901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8685 loss: 0.8685 2022/08/04 04:07:25 - mmengine - INFO - Epoch(train) [247][300/1879] lr: 1.0000e-04 eta: 1:28:16 time: 0.2882 data_time: 0.0205 memory: 8198 grad_norm: 7.1821 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9607 loss: 0.9607 2022/08/04 04:07:31 - mmengine - INFO - Epoch(train) [247][320/1879] lr: 1.0000e-04 eta: 1:28:10 time: 0.2862 data_time: 0.0232 memory: 8198 grad_norm: 7.4070 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9515 loss: 0.9515 2022/08/04 04:07:37 - mmengine - INFO - Epoch(train) [247][340/1879] lr: 1.0000e-04 eta: 1:28:04 time: 0.2874 data_time: 0.0242 memory: 8198 grad_norm: 7.6207 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0164 loss: 1.0164 2022/08/04 04:07:43 - mmengine - INFO - Epoch(train) [247][360/1879] lr: 1.0000e-04 eta: 1:27:58 time: 0.2926 data_time: 0.0244 memory: 8198 grad_norm: 7.6376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9607 loss: 0.9607 2022/08/04 04:07:49 - mmengine - INFO - Epoch(train) [247][380/1879] lr: 1.0000e-04 eta: 1:27:53 time: 0.2895 data_time: 0.0235 memory: 8198 grad_norm: 7.2301 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9941 loss: 0.9941 2022/08/04 04:07:54 - mmengine - INFO - Epoch(train) [247][400/1879] lr: 1.0000e-04 eta: 1:27:47 time: 0.2881 data_time: 0.0212 memory: 8198 grad_norm: 7.4132 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0120 loss: 1.0120 2022/08/04 04:08:00 - mmengine - INFO - Epoch(train) [247][420/1879] lr: 1.0000e-04 eta: 1:27:41 time: 0.2882 data_time: 0.0230 memory: 8198 grad_norm: 7.4152 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9478 loss: 0.9478 2022/08/04 04:08:06 - mmengine - INFO - Epoch(train) [247][440/1879] lr: 1.0000e-04 eta: 1:27:35 time: 0.2940 data_time: 0.0222 memory: 8198 grad_norm: 7.5185 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9196 loss: 0.9196 2022/08/04 04:08:12 - mmengine - INFO - Epoch(train) [247][460/1879] lr: 1.0000e-04 eta: 1:27:30 time: 0.2849 data_time: 0.0259 memory: 8198 grad_norm: 7.2693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8409 loss: 0.8409 2022/08/04 04:08:18 - mmengine - INFO - Epoch(train) [247][480/1879] lr: 1.0000e-04 eta: 1:27:24 time: 0.2855 data_time: 0.0221 memory: 8198 grad_norm: 7.7731 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8171 loss: 0.8171 2022/08/04 04:08:24 - mmengine - INFO - Epoch(train) [247][500/1879] lr: 1.0000e-04 eta: 1:27:18 time: 0.3001 data_time: 0.0240 memory: 8198 grad_norm: 7.3827 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0086 loss: 1.0086 2022/08/04 04:08:29 - mmengine - INFO - Epoch(train) [247][520/1879] lr: 1.0000e-04 eta: 1:27:13 time: 0.2868 data_time: 0.0183 memory: 8198 grad_norm: 7.3282 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8782 loss: 0.8782 2022/08/04 04:08:35 - mmengine - INFO - Epoch(train) [247][540/1879] lr: 1.0000e-04 eta: 1:27:07 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 7.2152 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9126 loss: 0.9126 2022/08/04 04:08:41 - mmengine - INFO - Epoch(train) [247][560/1879] lr: 1.0000e-04 eta: 1:27:01 time: 0.2881 data_time: 0.0274 memory: 8198 grad_norm: 7.7075 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9799 loss: 0.9799 2022/08/04 04:08:47 - mmengine - INFO - Epoch(train) [247][580/1879] lr: 1.0000e-04 eta: 1:26:55 time: 0.2875 data_time: 0.0251 memory: 8198 grad_norm: 7.2540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9898 loss: 0.9898 2022/08/04 04:08:52 - mmengine - INFO - Epoch(train) [247][600/1879] lr: 1.0000e-04 eta: 1:26:50 time: 0.2876 data_time: 0.0239 memory: 8198 grad_norm: 7.4020 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7796 loss: 0.7796 2022/08/04 04:08:58 - mmengine - INFO - Epoch(train) [247][620/1879] lr: 1.0000e-04 eta: 1:26:44 time: 0.2875 data_time: 0.0220 memory: 8198 grad_norm: 7.5623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/08/04 04:09:04 - mmengine - INFO - Epoch(train) [247][640/1879] lr: 1.0000e-04 eta: 1:26:38 time: 0.3101 data_time: 0.0231 memory: 8198 grad_norm: 7.5442 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9077 loss: 0.9077 2022/08/04 04:09:10 - mmengine - INFO - Epoch(train) [247][660/1879] lr: 1.0000e-04 eta: 1:26:32 time: 0.2854 data_time: 0.0224 memory: 8198 grad_norm: 7.4691 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9706 loss: 0.9706 2022/08/04 04:09:16 - mmengine - INFO - Epoch(train) [247][680/1879] lr: 1.0000e-04 eta: 1:26:27 time: 0.2884 data_time: 0.0218 memory: 8198 grad_norm: 7.4342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8774 loss: 0.8774 2022/08/04 04:09:22 - mmengine - INFO - Epoch(train) [247][700/1879] lr: 1.0000e-04 eta: 1:26:21 time: 0.3132 data_time: 0.0214 memory: 8198 grad_norm: 7.3642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8100 loss: 0.8100 2022/08/04 04:09:28 - mmengine - INFO - Epoch(train) [247][720/1879] lr: 1.0000e-04 eta: 1:26:15 time: 0.2829 data_time: 0.0204 memory: 8198 grad_norm: 7.6108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9739 loss: 0.9739 2022/08/04 04:09:34 - mmengine - INFO - Epoch(train) [247][740/1879] lr: 1.0000e-04 eta: 1:26:10 time: 0.2957 data_time: 0.0221 memory: 8198 grad_norm: 7.1543 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7549 loss: 0.7549 2022/08/04 04:09:40 - mmengine - INFO - Epoch(train) [247][760/1879] lr: 1.0000e-04 eta: 1:26:04 time: 0.2848 data_time: 0.0205 memory: 8198 grad_norm: 7.3490 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8172 loss: 0.8172 2022/08/04 04:09:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:09:46 - mmengine - INFO - Epoch(train) [247][780/1879] lr: 1.0000e-04 eta: 1:25:58 time: 0.2933 data_time: 0.0223 memory: 8198 grad_norm: 7.6090 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9049 loss: 0.9049 2022/08/04 04:09:51 - mmengine - INFO - Epoch(train) [247][800/1879] lr: 1.0000e-04 eta: 1:25:52 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 7.5458 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9100 loss: 0.9100 2022/08/04 04:09:57 - mmengine - INFO - Epoch(train) [247][820/1879] lr: 1.0000e-04 eta: 1:25:47 time: 0.2853 data_time: 0.0217 memory: 8198 grad_norm: 7.5052 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8467 loss: 0.8467 2022/08/04 04:10:03 - mmengine - INFO - Epoch(train) [247][840/1879] lr: 1.0000e-04 eta: 1:25:41 time: 0.3021 data_time: 0.0210 memory: 8198 grad_norm: 7.2838 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9282 loss: 0.9282 2022/08/04 04:10:09 - mmengine - INFO - Epoch(train) [247][860/1879] lr: 1.0000e-04 eta: 1:25:35 time: 0.2860 data_time: 0.0241 memory: 8198 grad_norm: 7.3614 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8731 loss: 0.8731 2022/08/04 04:10:15 - mmengine - INFO - Epoch(train) [247][880/1879] lr: 1.0000e-04 eta: 1:25:29 time: 0.2841 data_time: 0.0198 memory: 8198 grad_norm: 7.6093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0634 loss: 1.0634 2022/08/04 04:10:20 - mmengine - INFO - Epoch(train) [247][900/1879] lr: 1.0000e-04 eta: 1:25:24 time: 0.2915 data_time: 0.0268 memory: 8198 grad_norm: 7.5668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0659 loss: 1.0659 2022/08/04 04:10:26 - mmengine - INFO - Epoch(train) [247][920/1879] lr: 1.0000e-04 eta: 1:25:18 time: 0.2862 data_time: 0.0205 memory: 8198 grad_norm: 7.5557 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1247 loss: 1.1247 2022/08/04 04:10:32 - mmengine - INFO - Epoch(train) [247][940/1879] lr: 1.0000e-04 eta: 1:25:12 time: 0.2895 data_time: 0.0271 memory: 8198 grad_norm: 7.5981 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/08/04 04:10:38 - mmengine - INFO - Epoch(train) [247][960/1879] lr: 1.0000e-04 eta: 1:25:07 time: 0.2844 data_time: 0.0192 memory: 8198 grad_norm: 7.3886 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0819 loss: 1.0819 2022/08/04 04:10:43 - mmengine - INFO - Epoch(train) [247][980/1879] lr: 1.0000e-04 eta: 1:25:01 time: 0.2886 data_time: 0.0218 memory: 8198 grad_norm: 7.5944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/08/04 04:10:49 - mmengine - INFO - Epoch(train) [247][1000/1879] lr: 1.0000e-04 eta: 1:24:55 time: 0.2832 data_time: 0.0190 memory: 8198 grad_norm: 7.4132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8733 loss: 0.8733 2022/08/04 04:10:55 - mmengine - INFO - Epoch(train) [247][1020/1879] lr: 1.0000e-04 eta: 1:24:49 time: 0.3078 data_time: 0.0208 memory: 8198 grad_norm: 7.3054 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8899 loss: 0.8899 2022/08/04 04:11:01 - mmengine - INFO - Epoch(train) [247][1040/1879] lr: 1.0000e-04 eta: 1:24:44 time: 0.2844 data_time: 0.0227 memory: 8198 grad_norm: 7.7184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0157 loss: 1.0157 2022/08/04 04:11:07 - mmengine - INFO - Epoch(train) [247][1060/1879] lr: 1.0000e-04 eta: 1:24:38 time: 0.2894 data_time: 0.0211 memory: 8198 grad_norm: 7.0833 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8650 loss: 0.8650 2022/08/04 04:11:13 - mmengine - INFO - Epoch(train) [247][1080/1879] lr: 1.0000e-04 eta: 1:24:32 time: 0.2961 data_time: 0.0198 memory: 8198 grad_norm: 7.6035 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1106 loss: 1.1106 2022/08/04 04:11:19 - mmengine - INFO - Epoch(train) [247][1100/1879] lr: 1.0000e-04 eta: 1:24:27 time: 0.2842 data_time: 0.0205 memory: 8198 grad_norm: 7.3720 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8945 loss: 0.8945 2022/08/04 04:11:24 - mmengine - INFO - Epoch(train) [247][1120/1879] lr: 1.0000e-04 eta: 1:24:21 time: 0.2923 data_time: 0.0178 memory: 8198 grad_norm: 7.6440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/08/04 04:11:30 - mmengine - INFO - Epoch(train) [247][1140/1879] lr: 1.0000e-04 eta: 1:24:15 time: 0.2883 data_time: 0.0273 memory: 8198 grad_norm: 7.4657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9476 loss: 0.9476 2022/08/04 04:11:36 - mmengine - INFO - Epoch(train) [247][1160/1879] lr: 1.0000e-04 eta: 1:24:09 time: 0.2989 data_time: 0.0212 memory: 8198 grad_norm: 7.5014 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9005 loss: 0.9005 2022/08/04 04:11:42 - mmengine - INFO - Epoch(train) [247][1180/1879] lr: 1.0000e-04 eta: 1:24:04 time: 0.2852 data_time: 0.0207 memory: 8198 grad_norm: 7.6756 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9254 loss: 0.9254 2022/08/04 04:11:48 - mmengine - INFO - Epoch(train) [247][1200/1879] lr: 1.0000e-04 eta: 1:23:58 time: 0.2921 data_time: 0.0219 memory: 8198 grad_norm: 7.5553 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9111 loss: 0.9111 2022/08/04 04:11:54 - mmengine - INFO - Epoch(train) [247][1220/1879] lr: 1.0000e-04 eta: 1:23:52 time: 0.2944 data_time: 0.0219 memory: 8198 grad_norm: 7.2686 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9655 loss: 0.9655 2022/08/04 04:12:00 - mmengine - INFO - Epoch(train) [247][1240/1879] lr: 1.0000e-04 eta: 1:23:46 time: 0.2864 data_time: 0.0214 memory: 8198 grad_norm: 7.6051 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9964 loss: 0.9964 2022/08/04 04:12:05 - mmengine - INFO - Epoch(train) [247][1260/1879] lr: 1.0000e-04 eta: 1:23:41 time: 0.2897 data_time: 0.0206 memory: 8198 grad_norm: 7.6015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9739 loss: 0.9739 2022/08/04 04:12:11 - mmengine - INFO - Epoch(train) [247][1280/1879] lr: 1.0000e-04 eta: 1:23:35 time: 0.2878 data_time: 0.0229 memory: 8198 grad_norm: 7.1878 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0297 loss: 1.0297 2022/08/04 04:12:17 - mmengine - INFO - Epoch(train) [247][1300/1879] lr: 1.0000e-04 eta: 1:23:29 time: 0.2990 data_time: 0.0290 memory: 8198 grad_norm: 7.2266 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9832 loss: 0.9832 2022/08/04 04:12:23 - mmengine - INFO - Epoch(train) [247][1320/1879] lr: 1.0000e-04 eta: 1:23:24 time: 0.2878 data_time: 0.0222 memory: 8198 grad_norm: 7.6024 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8795 loss: 0.8795 2022/08/04 04:12:29 - mmengine - INFO - Epoch(train) [247][1340/1879] lr: 1.0000e-04 eta: 1:23:18 time: 0.2861 data_time: 0.0271 memory: 8198 grad_norm: 7.4054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8491 loss: 0.8491 2022/08/04 04:12:35 - mmengine - INFO - Epoch(train) [247][1360/1879] lr: 1.0000e-04 eta: 1:23:12 time: 0.3005 data_time: 0.0225 memory: 8198 grad_norm: 7.6927 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/04 04:12:40 - mmengine - INFO - Epoch(train) [247][1380/1879] lr: 1.0000e-04 eta: 1:23:06 time: 0.2844 data_time: 0.0188 memory: 8198 grad_norm: 7.4871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0512 loss: 1.0512 2022/08/04 04:12:46 - mmengine - INFO - Epoch(train) [247][1400/1879] lr: 1.0000e-04 eta: 1:23:01 time: 0.2853 data_time: 0.0168 memory: 8198 grad_norm: 7.5875 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/08/04 04:12:52 - mmengine - INFO - Epoch(train) [247][1420/1879] lr: 1.0000e-04 eta: 1:22:55 time: 0.3003 data_time: 0.0280 memory: 8198 grad_norm: 7.3464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/08/04 04:12:58 - mmengine - INFO - Epoch(train) [247][1440/1879] lr: 1.0000e-04 eta: 1:22:49 time: 0.2851 data_time: 0.0207 memory: 8198 grad_norm: 7.4939 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9296 loss: 0.9296 2022/08/04 04:13:04 - mmengine - INFO - Epoch(train) [247][1460/1879] lr: 1.0000e-04 eta: 1:22:43 time: 0.2867 data_time: 0.0164 memory: 8198 grad_norm: 7.5459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9788 loss: 0.9788 2022/08/04 04:13:09 - mmengine - INFO - Epoch(train) [247][1480/1879] lr: 1.0000e-04 eta: 1:22:38 time: 0.2866 data_time: 0.0270 memory: 8198 grad_norm: 7.3869 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8852 loss: 0.8852 2022/08/04 04:13:16 - mmengine - INFO - Epoch(train) [247][1500/1879] lr: 1.0000e-04 eta: 1:22:32 time: 0.3060 data_time: 0.0250 memory: 8198 grad_norm: 7.4476 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0375 loss: 1.0375 2022/08/04 04:13:21 - mmengine - INFO - Epoch(train) [247][1520/1879] lr: 1.0000e-04 eta: 1:22:26 time: 0.2813 data_time: 0.0213 memory: 8198 grad_norm: 7.4531 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9669 loss: 0.9669 2022/08/04 04:13:27 - mmengine - INFO - Epoch(train) [247][1540/1879] lr: 1.0000e-04 eta: 1:22:21 time: 0.2862 data_time: 0.0220 memory: 8198 grad_norm: 7.4014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/08/04 04:13:33 - mmengine - INFO - Epoch(train) [247][1560/1879] lr: 1.0000e-04 eta: 1:22:15 time: 0.3061 data_time: 0.0217 memory: 8198 grad_norm: 7.4000 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0393 loss: 1.0393 2022/08/04 04:13:39 - mmengine - INFO - Epoch(train) [247][1580/1879] lr: 1.0000e-04 eta: 1:22:09 time: 0.2861 data_time: 0.0206 memory: 8198 grad_norm: 7.4138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9278 loss: 0.9278 2022/08/04 04:13:45 - mmengine - INFO - Epoch(train) [247][1600/1879] lr: 1.0000e-04 eta: 1:22:03 time: 0.2900 data_time: 0.0214 memory: 8198 grad_norm: 7.4307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9600 loss: 0.9600 2022/08/04 04:13:51 - mmengine - INFO - Epoch(train) [247][1620/1879] lr: 1.0000e-04 eta: 1:21:58 time: 0.2881 data_time: 0.0209 memory: 8198 grad_norm: 7.3608 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9485 loss: 0.9485 2022/08/04 04:13:56 - mmengine - INFO - Epoch(train) [247][1640/1879] lr: 1.0000e-04 eta: 1:21:52 time: 0.2913 data_time: 0.0203 memory: 8198 grad_norm: 7.2540 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0183 loss: 1.0183 2022/08/04 04:14:02 - mmengine - INFO - Epoch(train) [247][1660/1879] lr: 1.0000e-04 eta: 1:21:46 time: 0.2871 data_time: 0.0253 memory: 8198 grad_norm: 7.3677 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0720 loss: 1.0720 2022/08/04 04:14:08 - mmengine - INFO - Epoch(train) [247][1680/1879] lr: 1.0000e-04 eta: 1:21:40 time: 0.2993 data_time: 0.0211 memory: 8198 grad_norm: 7.4199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8541 loss: 0.8541 2022/08/04 04:14:14 - mmengine - INFO - Epoch(train) [247][1700/1879] lr: 1.0000e-04 eta: 1:21:35 time: 0.2867 data_time: 0.0228 memory: 8198 grad_norm: 7.4180 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1391 loss: 1.1391 2022/08/04 04:14:20 - mmengine - INFO - Epoch(train) [247][1720/1879] lr: 1.0000e-04 eta: 1:21:29 time: 0.2833 data_time: 0.0183 memory: 8198 grad_norm: 7.3167 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8564 loss: 0.8564 2022/08/04 04:14:26 - mmengine - INFO - Epoch(train) [247][1740/1879] lr: 1.0000e-04 eta: 1:21:23 time: 0.2908 data_time: 0.0222 memory: 8198 grad_norm: 7.2215 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9556 loss: 0.9556 2022/08/04 04:14:31 - mmengine - INFO - Epoch(train) [247][1760/1879] lr: 1.0000e-04 eta: 1:21:18 time: 0.2866 data_time: 0.0233 memory: 8198 grad_norm: 7.3163 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9082 loss: 0.9082 2022/08/04 04:14:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:14:37 - mmengine - INFO - Epoch(train) [247][1780/1879] lr: 1.0000e-04 eta: 1:21:12 time: 0.2892 data_time: 0.0212 memory: 8198 grad_norm: 7.3586 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8731 loss: 0.8731 2022/08/04 04:14:43 - mmengine - INFO - Epoch(train) [247][1800/1879] lr: 1.0000e-04 eta: 1:21:06 time: 0.2875 data_time: 0.0198 memory: 8198 grad_norm: 7.6623 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9331 loss: 0.9331 2022/08/04 04:14:49 - mmengine - INFO - Epoch(train) [247][1820/1879] lr: 1.0000e-04 eta: 1:21:00 time: 0.2851 data_time: 0.0214 memory: 8198 grad_norm: 7.4546 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9399 loss: 0.9399 2022/08/04 04:14:54 - mmengine - INFO - Epoch(train) [247][1840/1879] lr: 1.0000e-04 eta: 1:20:55 time: 0.2888 data_time: 0.0229 memory: 8198 grad_norm: 7.4512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8915 loss: 0.8915 2022/08/04 04:15:00 - mmengine - INFO - Epoch(train) [247][1860/1879] lr: 1.0000e-04 eta: 1:20:49 time: 0.2844 data_time: 0.0174 memory: 8198 grad_norm: 7.4972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9022 loss: 0.9022 2022/08/04 04:15:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:15:05 - mmengine - INFO - Epoch(train) [247][1879/1879] lr: 1.0000e-04 eta: 1:20:49 time: 0.2786 data_time: 0.0145 memory: 8198 grad_norm: 7.4111 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9780 loss: 0.9780 2022/08/04 04:15:14 - mmengine - INFO - Epoch(train) [248][20/1879] lr: 1.0000e-04 eta: 1:20:38 time: 0.4008 data_time: 0.1197 memory: 8198 grad_norm: 7.5644 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0196 loss: 1.0196 2022/08/04 04:15:20 - mmengine - INFO - Epoch(train) [248][40/1879] lr: 1.0000e-04 eta: 1:20:32 time: 0.3034 data_time: 0.0203 memory: 8198 grad_norm: 7.4239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0476 loss: 1.0476 2022/08/04 04:15:26 - mmengine - INFO - Epoch(train) [248][60/1879] lr: 1.0000e-04 eta: 1:20:26 time: 0.3003 data_time: 0.0232 memory: 8198 grad_norm: 7.3998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9109 loss: 0.9109 2022/08/04 04:15:32 - mmengine - INFO - Epoch(train) [248][80/1879] lr: 1.0000e-04 eta: 1:20:20 time: 0.2877 data_time: 0.0186 memory: 8198 grad_norm: 7.6204 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1312 loss: 1.1312 2022/08/04 04:15:37 - mmengine - INFO - Epoch(train) [248][100/1879] lr: 1.0000e-04 eta: 1:20:15 time: 0.2873 data_time: 0.0206 memory: 8198 grad_norm: 7.3537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8663 loss: 0.8663 2022/08/04 04:15:43 - mmengine - INFO - Epoch(train) [248][120/1879] lr: 1.0000e-04 eta: 1:20:09 time: 0.2881 data_time: 0.0182 memory: 8198 grad_norm: 7.4172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/08/04 04:15:49 - mmengine - INFO - Epoch(train) [248][140/1879] lr: 1.0000e-04 eta: 1:20:03 time: 0.2854 data_time: 0.0239 memory: 8198 grad_norm: 7.0923 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8676 loss: 0.8676 2022/08/04 04:15:55 - mmengine - INFO - Epoch(train) [248][160/1879] lr: 1.0000e-04 eta: 1:19:58 time: 0.2884 data_time: 0.0208 memory: 8198 grad_norm: 7.5721 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0046 loss: 1.0046 2022/08/04 04:16:00 - mmengine - INFO - Epoch(train) [248][180/1879] lr: 1.0000e-04 eta: 1:19:52 time: 0.2856 data_time: 0.0230 memory: 8198 grad_norm: 7.5304 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9397 loss: 0.9397 2022/08/04 04:16:06 - mmengine - INFO - Epoch(train) [248][200/1879] lr: 1.0000e-04 eta: 1:19:46 time: 0.2949 data_time: 0.0250 memory: 8198 grad_norm: 7.3543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9489 loss: 0.9489 2022/08/04 04:16:12 - mmengine - INFO - Epoch(train) [248][220/1879] lr: 1.0000e-04 eta: 1:19:40 time: 0.2891 data_time: 0.0234 memory: 8198 grad_norm: 7.2364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8054 loss: 0.8054 2022/08/04 04:16:18 - mmengine - INFO - Epoch(train) [248][240/1879] lr: 1.0000e-04 eta: 1:19:35 time: 0.2875 data_time: 0.0229 memory: 8198 grad_norm: 7.2513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9028 loss: 0.9028 2022/08/04 04:16:24 - mmengine - INFO - Epoch(train) [248][260/1879] lr: 1.0000e-04 eta: 1:19:29 time: 0.2870 data_time: 0.0201 memory: 8198 grad_norm: 7.3016 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9725 loss: 0.9725 2022/08/04 04:16:29 - mmengine - INFO - Epoch(train) [248][280/1879] lr: 1.0000e-04 eta: 1:19:23 time: 0.2848 data_time: 0.0196 memory: 8198 grad_norm: 7.5612 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/04 04:16:35 - mmengine - INFO - Epoch(train) [248][300/1879] lr: 1.0000e-04 eta: 1:19:17 time: 0.2869 data_time: 0.0274 memory: 8198 grad_norm: 7.1671 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8952 loss: 0.8952 2022/08/04 04:16:41 - mmengine - INFO - Epoch(train) [248][320/1879] lr: 1.0000e-04 eta: 1:19:12 time: 0.2837 data_time: 0.0177 memory: 8198 grad_norm: 7.7340 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0069 loss: 1.0069 2022/08/04 04:16:47 - mmengine - INFO - Epoch(train) [248][340/1879] lr: 1.0000e-04 eta: 1:19:06 time: 0.2917 data_time: 0.0237 memory: 8198 grad_norm: 7.6915 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9026 loss: 0.9026 2022/08/04 04:16:52 - mmengine - INFO - Epoch(train) [248][360/1879] lr: 1.0000e-04 eta: 1:19:00 time: 0.2875 data_time: 0.0217 memory: 8198 grad_norm: 7.4264 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8546 loss: 0.8546 2022/08/04 04:16:58 - mmengine - INFO - Epoch(train) [248][380/1879] lr: 1.0000e-04 eta: 1:18:55 time: 0.2857 data_time: 0.0219 memory: 8198 grad_norm: 7.7346 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0177 loss: 1.0177 2022/08/04 04:17:04 - mmengine - INFO - Epoch(train) [248][400/1879] lr: 1.0000e-04 eta: 1:18:49 time: 0.2884 data_time: 0.0219 memory: 8198 grad_norm: 7.6299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0141 loss: 1.0141 2022/08/04 04:17:10 - mmengine - INFO - Epoch(train) [248][420/1879] lr: 1.0000e-04 eta: 1:18:43 time: 0.2872 data_time: 0.0195 memory: 8198 grad_norm: 7.6153 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1433 loss: 1.1433 2022/08/04 04:17:16 - mmengine - INFO - Epoch(train) [248][440/1879] lr: 1.0000e-04 eta: 1:18:37 time: 0.2923 data_time: 0.0196 memory: 8198 grad_norm: 7.2311 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9192 loss: 0.9192 2022/08/04 04:17:21 - mmengine - INFO - Epoch(train) [248][460/1879] lr: 1.0000e-04 eta: 1:18:32 time: 0.2862 data_time: 0.0239 memory: 8198 grad_norm: 7.4727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9932 loss: 0.9932 2022/08/04 04:17:27 - mmengine - INFO - Epoch(train) [248][480/1879] lr: 1.0000e-04 eta: 1:18:26 time: 0.2872 data_time: 0.0231 memory: 8198 grad_norm: 7.2522 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9843 loss: 0.9843 2022/08/04 04:17:33 - mmengine - INFO - Epoch(train) [248][500/1879] lr: 1.0000e-04 eta: 1:18:20 time: 0.2985 data_time: 0.0247 memory: 8198 grad_norm: 7.5347 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9526 loss: 0.9526 2022/08/04 04:17:39 - mmengine - INFO - Epoch(train) [248][520/1879] lr: 1.0000e-04 eta: 1:18:14 time: 0.2839 data_time: 0.0189 memory: 8198 grad_norm: 7.5634 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/08/04 04:17:45 - mmengine - INFO - Epoch(train) [248][540/1879] lr: 1.0000e-04 eta: 1:18:09 time: 0.2951 data_time: 0.0220 memory: 8198 grad_norm: 7.5005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8816 loss: 0.8816 2022/08/04 04:17:51 - mmengine - INFO - Epoch(train) [248][560/1879] lr: 1.0000e-04 eta: 1:18:03 time: 0.2856 data_time: 0.0180 memory: 8198 grad_norm: 7.3899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9905 loss: 0.9905 2022/08/04 04:17:56 - mmengine - INFO - Epoch(train) [248][580/1879] lr: 1.0000e-04 eta: 1:17:57 time: 0.2846 data_time: 0.0223 memory: 8198 grad_norm: 7.6239 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7928 loss: 0.7928 2022/08/04 04:18:02 - mmengine - INFO - Epoch(train) [248][600/1879] lr: 1.0000e-04 eta: 1:17:52 time: 0.2878 data_time: 0.0254 memory: 8198 grad_norm: 7.3917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8916 loss: 0.8916 2022/08/04 04:18:08 - mmengine - INFO - Epoch(train) [248][620/1879] lr: 1.0000e-04 eta: 1:17:46 time: 0.2865 data_time: 0.0256 memory: 8198 grad_norm: 7.4260 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9316 loss: 0.9316 2022/08/04 04:18:14 - mmengine - INFO - Epoch(train) [248][640/1879] lr: 1.0000e-04 eta: 1:17:40 time: 0.2929 data_time: 0.0217 memory: 8198 grad_norm: 7.6488 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8410 loss: 0.8410 2022/08/04 04:18:19 - mmengine - INFO - Epoch(train) [248][660/1879] lr: 1.0000e-04 eta: 1:17:34 time: 0.2851 data_time: 0.0243 memory: 8198 grad_norm: 7.3554 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8006 loss: 0.8006 2022/08/04 04:18:25 - mmengine - INFO - Epoch(train) [248][680/1879] lr: 1.0000e-04 eta: 1:17:29 time: 0.2963 data_time: 0.0192 memory: 8198 grad_norm: 7.2708 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9293 loss: 0.9293 2022/08/04 04:18:31 - mmengine - INFO - Epoch(train) [248][700/1879] lr: 1.0000e-04 eta: 1:17:23 time: 0.2852 data_time: 0.0223 memory: 8198 grad_norm: 7.4926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9544 loss: 0.9544 2022/08/04 04:18:37 - mmengine - INFO - Epoch(train) [248][720/1879] lr: 1.0000e-04 eta: 1:17:17 time: 0.2947 data_time: 0.0242 memory: 8198 grad_norm: 7.4270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0370 loss: 1.0370 2022/08/04 04:18:43 - mmengine - INFO - Epoch(train) [248][740/1879] lr: 1.0000e-04 eta: 1:17:11 time: 0.2876 data_time: 0.0210 memory: 8198 grad_norm: 7.5189 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/08/04 04:18:49 - mmengine - INFO - Epoch(train) [248][760/1879] lr: 1.0000e-04 eta: 1:17:06 time: 0.2840 data_time: 0.0199 memory: 8198 grad_norm: 7.5120 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8590 loss: 0.8590 2022/08/04 04:18:55 - mmengine - INFO - Epoch(train) [248][780/1879] lr: 1.0000e-04 eta: 1:17:00 time: 0.2937 data_time: 0.0209 memory: 8198 grad_norm: 7.5492 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/04 04:19:00 - mmengine - INFO - Epoch(train) [248][800/1879] lr: 1.0000e-04 eta: 1:16:54 time: 0.2878 data_time: 0.0272 memory: 8198 grad_norm: 7.7261 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7611 loss: 0.7611 2022/08/04 04:19:06 - mmengine - INFO - Epoch(train) [248][820/1879] lr: 1.0000e-04 eta: 1:16:49 time: 0.2889 data_time: 0.0227 memory: 8198 grad_norm: 7.4545 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9881 loss: 0.9881 2022/08/04 04:19:12 - mmengine - INFO - Epoch(train) [248][840/1879] lr: 1.0000e-04 eta: 1:16:43 time: 0.2866 data_time: 0.0262 memory: 8198 grad_norm: 7.4354 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8470 loss: 0.8470 2022/08/04 04:19:18 - mmengine - INFO - Epoch(train) [248][860/1879] lr: 1.0000e-04 eta: 1:16:37 time: 0.2927 data_time: 0.0202 memory: 8198 grad_norm: 7.4948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9481 loss: 0.9481 2022/08/04 04:19:24 - mmengine - INFO - Epoch(train) [248][880/1879] lr: 1.0000e-04 eta: 1:16:31 time: 0.2885 data_time: 0.0197 memory: 8198 grad_norm: 7.6062 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8316 loss: 0.8316 2022/08/04 04:19:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:19:29 - mmengine - INFO - Epoch(train) [248][900/1879] lr: 1.0000e-04 eta: 1:16:26 time: 0.2884 data_time: 0.0230 memory: 8198 grad_norm: 7.4646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0401 loss: 1.0401 2022/08/04 04:19:35 - mmengine - INFO - Epoch(train) [248][920/1879] lr: 1.0000e-04 eta: 1:16:20 time: 0.2899 data_time: 0.0232 memory: 8198 grad_norm: 7.5492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8547 loss: 0.8547 2022/08/04 04:19:41 - mmengine - INFO - Epoch(train) [248][940/1879] lr: 1.0000e-04 eta: 1:16:14 time: 0.2866 data_time: 0.0214 memory: 8198 grad_norm: 7.3451 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7243 loss: 0.7243 2022/08/04 04:19:47 - mmengine - INFO - Epoch(train) [248][960/1879] lr: 1.0000e-04 eta: 1:16:08 time: 0.2863 data_time: 0.0209 memory: 8198 grad_norm: 7.3590 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9472 loss: 0.9472 2022/08/04 04:19:53 - mmengine - INFO - Epoch(train) [248][980/1879] lr: 1.0000e-04 eta: 1:16:03 time: 0.2863 data_time: 0.0220 memory: 8198 grad_norm: 7.4222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1162 loss: 1.1162 2022/08/04 04:19:58 - mmengine - INFO - Epoch(train) [248][1000/1879] lr: 1.0000e-04 eta: 1:15:57 time: 0.2917 data_time: 0.0246 memory: 8198 grad_norm: 7.5334 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/08/04 04:20:04 - mmengine - INFO - Epoch(train) [248][1020/1879] lr: 1.0000e-04 eta: 1:15:51 time: 0.2893 data_time: 0.0232 memory: 8198 grad_norm: 7.2450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7741 loss: 0.7741 2022/08/04 04:20:10 - mmengine - INFO - Epoch(train) [248][1040/1879] lr: 1.0000e-04 eta: 1:15:46 time: 0.2859 data_time: 0.0237 memory: 8198 grad_norm: 7.2263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8919 loss: 0.8919 2022/08/04 04:20:16 - mmengine - INFO - Epoch(train) [248][1060/1879] lr: 1.0000e-04 eta: 1:15:40 time: 0.2963 data_time: 0.0212 memory: 8198 grad_norm: 7.4736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8411 loss: 0.8411 2022/08/04 04:20:22 - mmengine - INFO - Epoch(train) [248][1080/1879] lr: 1.0000e-04 eta: 1:15:34 time: 0.2862 data_time: 0.0230 memory: 8198 grad_norm: 7.5299 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9150 loss: 0.9150 2022/08/04 04:20:27 - mmengine - INFO - Epoch(train) [248][1100/1879] lr: 1.0000e-04 eta: 1:15:28 time: 0.2885 data_time: 0.0228 memory: 8198 grad_norm: 7.5151 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9656 loss: 0.9656 2022/08/04 04:20:34 - mmengine - INFO - Epoch(train) [248][1120/1879] lr: 1.0000e-04 eta: 1:15:23 time: 0.3023 data_time: 0.0223 memory: 8198 grad_norm: 7.5319 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7603 loss: 0.7603 2022/08/04 04:20:39 - mmengine - INFO - Epoch(train) [248][1140/1879] lr: 1.0000e-04 eta: 1:15:17 time: 0.2839 data_time: 0.0198 memory: 8198 grad_norm: 7.4038 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9095 loss: 0.9095 2022/08/04 04:20:45 - mmengine - INFO - Epoch(train) [248][1160/1879] lr: 1.0000e-04 eta: 1:15:11 time: 0.2887 data_time: 0.0308 memory: 8198 grad_norm: 7.4835 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0713 loss: 1.0713 2022/08/04 04:20:51 - mmengine - INFO - Epoch(train) [248][1180/1879] lr: 1.0000e-04 eta: 1:15:05 time: 0.2857 data_time: 0.0223 memory: 8198 grad_norm: 7.2606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/08/04 04:20:57 - mmengine - INFO - Epoch(train) [248][1200/1879] lr: 1.0000e-04 eta: 1:15:00 time: 0.2889 data_time: 0.0182 memory: 8198 grad_norm: 7.5792 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9684 loss: 0.9684 2022/08/04 04:21:02 - mmengine - INFO - Epoch(train) [248][1220/1879] lr: 1.0000e-04 eta: 1:14:54 time: 0.2863 data_time: 0.0205 memory: 8198 grad_norm: 7.4855 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8937 loss: 0.8937 2022/08/04 04:21:08 - mmengine - INFO - Epoch(train) [248][1240/1879] lr: 1.0000e-04 eta: 1:14:48 time: 0.2875 data_time: 0.0252 memory: 8198 grad_norm: 7.4862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9042 loss: 0.9042 2022/08/04 04:21:14 - mmengine - INFO - Epoch(train) [248][1260/1879] lr: 1.0000e-04 eta: 1:14:43 time: 0.2942 data_time: 0.0241 memory: 8198 grad_norm: 7.6487 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0462 loss: 1.0462 2022/08/04 04:21:20 - mmengine - INFO - Epoch(train) [248][1280/1879] lr: 1.0000e-04 eta: 1:14:37 time: 0.2865 data_time: 0.0256 memory: 8198 grad_norm: 7.3926 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8697 loss: 0.8697 2022/08/04 04:21:26 - mmengine - INFO - Epoch(train) [248][1300/1879] lr: 1.0000e-04 eta: 1:14:31 time: 0.2921 data_time: 0.0270 memory: 8198 grad_norm: 7.3266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/08/04 04:21:31 - mmengine - INFO - Epoch(train) [248][1320/1879] lr: 1.0000e-04 eta: 1:14:25 time: 0.2823 data_time: 0.0203 memory: 8198 grad_norm: 7.5638 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0221 loss: 1.0221 2022/08/04 04:21:37 - mmengine - INFO - Epoch(train) [248][1340/1879] lr: 1.0000e-04 eta: 1:14:20 time: 0.2895 data_time: 0.0265 memory: 8198 grad_norm: 7.6793 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0420 loss: 1.0420 2022/08/04 04:21:43 - mmengine - INFO - Epoch(train) [248][1360/1879] lr: 1.0000e-04 eta: 1:14:14 time: 0.2863 data_time: 0.0237 memory: 8198 grad_norm: 7.4247 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9367 loss: 0.9367 2022/08/04 04:21:49 - mmengine - INFO - Epoch(train) [248][1380/1879] lr: 1.0000e-04 eta: 1:14:08 time: 0.2841 data_time: 0.0186 memory: 8198 grad_norm: 7.5220 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/04 04:21:55 - mmengine - INFO - Epoch(train) [248][1400/1879] lr: 1.0000e-04 eta: 1:14:02 time: 0.2978 data_time: 0.0257 memory: 8198 grad_norm: 7.5496 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9571 loss: 0.9571 2022/08/04 04:22:00 - mmengine - INFO - Epoch(train) [248][1420/1879] lr: 1.0000e-04 eta: 1:13:57 time: 0.2861 data_time: 0.0250 memory: 8198 grad_norm: 7.4945 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9442 loss: 0.9442 2022/08/04 04:22:06 - mmengine - INFO - Epoch(train) [248][1440/1879] lr: 1.0000e-04 eta: 1:13:51 time: 0.2862 data_time: 0.0206 memory: 8198 grad_norm: 7.6005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0200 loss: 1.0200 2022/08/04 04:22:12 - mmengine - INFO - Epoch(train) [248][1460/1879] lr: 1.0000e-04 eta: 1:13:45 time: 0.2844 data_time: 0.0236 memory: 8198 grad_norm: 7.1386 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9034 loss: 0.9034 2022/08/04 04:22:18 - mmengine - INFO - Epoch(train) [248][1480/1879] lr: 1.0000e-04 eta: 1:13:40 time: 0.2948 data_time: 0.0233 memory: 8198 grad_norm: 7.4216 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9835 loss: 0.9835 2022/08/04 04:22:24 - mmengine - INFO - Epoch(train) [248][1500/1879] lr: 1.0000e-04 eta: 1:13:34 time: 0.2868 data_time: 0.0284 memory: 8198 grad_norm: 7.7227 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8980 loss: 0.8980 2022/08/04 04:22:29 - mmengine - INFO - Epoch(train) [248][1520/1879] lr: 1.0000e-04 eta: 1:13:28 time: 0.2887 data_time: 0.0207 memory: 8198 grad_norm: 7.5603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9530 loss: 0.9530 2022/08/04 04:22:35 - mmengine - INFO - Epoch(train) [248][1540/1879] lr: 1.0000e-04 eta: 1:13:22 time: 0.2926 data_time: 0.0277 memory: 8198 grad_norm: 7.2965 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8986 loss: 0.8986 2022/08/04 04:22:41 - mmengine - INFO - Epoch(train) [248][1560/1879] lr: 1.0000e-04 eta: 1:13:17 time: 0.2866 data_time: 0.0263 memory: 8198 grad_norm: 7.1833 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/08/04 04:22:47 - mmengine - INFO - Epoch(train) [248][1580/1879] lr: 1.0000e-04 eta: 1:13:11 time: 0.2867 data_time: 0.0202 memory: 8198 grad_norm: 7.2222 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9057 loss: 0.9057 2022/08/04 04:22:53 - mmengine - INFO - Epoch(train) [248][1600/1879] lr: 1.0000e-04 eta: 1:13:05 time: 0.2885 data_time: 0.0235 memory: 8198 grad_norm: 7.3734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9636 loss: 0.9636 2022/08/04 04:22:59 - mmengine - INFO - Epoch(train) [248][1620/1879] lr: 1.0000e-04 eta: 1:12:59 time: 0.2976 data_time: 0.0182 memory: 8198 grad_norm: 7.5688 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9904 loss: 0.9904 2022/08/04 04:23:04 - mmengine - INFO - Epoch(train) [248][1640/1879] lr: 1.0000e-04 eta: 1:12:54 time: 0.2884 data_time: 0.0257 memory: 8198 grad_norm: 7.4247 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9126 loss: 0.9126 2022/08/04 04:23:10 - mmengine - INFO - Epoch(train) [248][1660/1879] lr: 1.0000e-04 eta: 1:12:48 time: 0.2878 data_time: 0.0205 memory: 8198 grad_norm: 7.4603 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0357 loss: 1.0357 2022/08/04 04:23:16 - mmengine - INFO - Epoch(train) [248][1680/1879] lr: 1.0000e-04 eta: 1:12:42 time: 0.2946 data_time: 0.0195 memory: 8198 grad_norm: 7.6323 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9733 loss: 0.9733 2022/08/04 04:23:22 - mmengine - INFO - Epoch(train) [248][1700/1879] lr: 1.0000e-04 eta: 1:12:37 time: 0.2862 data_time: 0.0247 memory: 8198 grad_norm: 7.2611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9262 loss: 0.9262 2022/08/04 04:23:28 - mmengine - INFO - Epoch(train) [248][1720/1879] lr: 1.0000e-04 eta: 1:12:31 time: 0.2887 data_time: 0.0224 memory: 8198 grad_norm: 7.4502 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7731 loss: 0.7731 2022/08/04 04:23:33 - mmengine - INFO - Epoch(train) [248][1740/1879] lr: 1.0000e-04 eta: 1:12:25 time: 0.2924 data_time: 0.0233 memory: 8198 grad_norm: 7.1550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/04 04:23:39 - mmengine - INFO - Epoch(train) [248][1760/1879] lr: 1.0000e-04 eta: 1:12:19 time: 0.2864 data_time: 0.0224 memory: 8198 grad_norm: 7.6682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/08/04 04:23:45 - mmengine - INFO - Epoch(train) [248][1780/1879] lr: 1.0000e-04 eta: 1:12:14 time: 0.2854 data_time: 0.0245 memory: 8198 grad_norm: 7.5913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0991 loss: 1.0991 2022/08/04 04:23:51 - mmengine - INFO - Epoch(train) [248][1800/1879] lr: 1.0000e-04 eta: 1:12:08 time: 0.2901 data_time: 0.0234 memory: 8198 grad_norm: 7.4221 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9073 loss: 0.9073 2022/08/04 04:23:57 - mmengine - INFO - Epoch(train) [248][1820/1879] lr: 1.0000e-04 eta: 1:12:02 time: 0.2934 data_time: 0.0176 memory: 8198 grad_norm: 7.3098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9637 loss: 0.9637 2022/08/04 04:24:02 - mmengine - INFO - Epoch(train) [248][1840/1879] lr: 1.0000e-04 eta: 1:11:56 time: 0.2850 data_time: 0.0203 memory: 8198 grad_norm: 7.3820 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7526 loss: 0.7526 2022/08/04 04:24:08 - mmengine - INFO - Epoch(train) [248][1860/1879] lr: 1.0000e-04 eta: 1:11:51 time: 0.2891 data_time: 0.0243 memory: 8198 grad_norm: 7.5569 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0363 loss: 1.0363 2022/08/04 04:24:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:24:13 - mmengine - INFO - Epoch(train) [248][1879/1879] lr: 1.0000e-04 eta: 1:11:51 time: 0.2687 data_time: 0.0162 memory: 8198 grad_norm: 7.6112 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8537 loss: 0.8537 2022/08/04 04:24:13 - mmengine - INFO - Saving checkpoint at 248 epochs 2022/08/04 04:24:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:24:23 - mmengine - INFO - Epoch(train) [249][20/1879] lr: 1.0000e-04 eta: 1:11:39 time: 0.3631 data_time: 0.1027 memory: 8198 grad_norm: 7.8408 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9245 loss: 0.9245 2022/08/04 04:24:29 - mmengine - INFO - Epoch(train) [249][40/1879] lr: 1.0000e-04 eta: 1:11:34 time: 0.2898 data_time: 0.0171 memory: 8198 grad_norm: 7.4387 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1043 loss: 1.1043 2022/08/04 04:24:35 - mmengine - INFO - Epoch(train) [249][60/1879] lr: 1.0000e-04 eta: 1:11:28 time: 0.2900 data_time: 0.0250 memory: 8198 grad_norm: 7.6246 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8943 loss: 0.8943 2022/08/04 04:24:41 - mmengine - INFO - Epoch(train) [249][80/1879] lr: 1.0000e-04 eta: 1:11:22 time: 0.2849 data_time: 0.0274 memory: 8198 grad_norm: 7.2861 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8599 loss: 0.8599 2022/08/04 04:24:46 - mmengine - INFO - Epoch(train) [249][100/1879] lr: 1.0000e-04 eta: 1:11:17 time: 0.2872 data_time: 0.0243 memory: 8198 grad_norm: 7.3768 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0519 loss: 1.0519 2022/08/04 04:24:52 - mmengine - INFO - Epoch(train) [249][120/1879] lr: 1.0000e-04 eta: 1:11:11 time: 0.2873 data_time: 0.0200 memory: 8198 grad_norm: 7.3384 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0217 loss: 1.0217 2022/08/04 04:24:58 - mmengine - INFO - Epoch(train) [249][140/1879] lr: 1.0000e-04 eta: 1:11:05 time: 0.3161 data_time: 0.0225 memory: 8198 grad_norm: 7.6021 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8798 loss: 0.8798 2022/08/04 04:25:04 - mmengine - INFO - Epoch(train) [249][160/1879] lr: 1.0000e-04 eta: 1:10:59 time: 0.2838 data_time: 0.0208 memory: 8198 grad_norm: 7.5250 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9556 loss: 0.9556 2022/08/04 04:25:10 - mmengine - INFO - Epoch(train) [249][180/1879] lr: 1.0000e-04 eta: 1:10:54 time: 0.2876 data_time: 0.0225 memory: 8198 grad_norm: 7.3564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8307 loss: 0.8307 2022/08/04 04:25:16 - mmengine - INFO - Epoch(train) [249][200/1879] lr: 1.0000e-04 eta: 1:10:48 time: 0.2936 data_time: 0.0242 memory: 8198 grad_norm: 7.3022 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8595 loss: 0.8595 2022/08/04 04:25:22 - mmengine - INFO - Epoch(train) [249][220/1879] lr: 1.0000e-04 eta: 1:10:42 time: 0.2874 data_time: 0.0241 memory: 8198 grad_norm: 7.3947 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9098 loss: 0.9098 2022/08/04 04:25:27 - mmengine - INFO - Epoch(train) [249][240/1879] lr: 1.0000e-04 eta: 1:10:36 time: 0.2856 data_time: 0.0258 memory: 8198 grad_norm: 7.2620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/04 04:25:33 - mmengine - INFO - Epoch(train) [249][260/1879] lr: 1.0000e-04 eta: 1:10:31 time: 0.2902 data_time: 0.0243 memory: 8198 grad_norm: 7.5308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8419 loss: 0.8419 2022/08/04 04:25:39 - mmengine - INFO - Epoch(train) [249][280/1879] lr: 1.0000e-04 eta: 1:10:25 time: 0.2854 data_time: 0.0197 memory: 8198 grad_norm: 7.3005 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8849 loss: 0.8849 2022/08/04 04:25:45 - mmengine - INFO - Epoch(train) [249][300/1879] lr: 1.0000e-04 eta: 1:10:19 time: 0.2891 data_time: 0.0264 memory: 8198 grad_norm: 7.6891 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/08/04 04:25:50 - mmengine - INFO - Epoch(train) [249][320/1879] lr: 1.0000e-04 eta: 1:10:14 time: 0.2852 data_time: 0.0186 memory: 8198 grad_norm: 7.4462 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0066 loss: 1.0066 2022/08/04 04:25:57 - mmengine - INFO - Epoch(train) [249][340/1879] lr: 1.0000e-04 eta: 1:10:08 time: 0.3050 data_time: 0.0270 memory: 8198 grad_norm: 7.5614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0068 loss: 1.0068 2022/08/04 04:26:02 - mmengine - INFO - Epoch(train) [249][360/1879] lr: 1.0000e-04 eta: 1:10:02 time: 0.2861 data_time: 0.0213 memory: 8198 grad_norm: 7.5634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9774 loss: 0.9774 2022/08/04 04:26:08 - mmengine - INFO - Epoch(train) [249][380/1879] lr: 1.0000e-04 eta: 1:09:56 time: 0.2891 data_time: 0.0207 memory: 8198 grad_norm: 7.5669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0606 loss: 1.0606 2022/08/04 04:26:14 - mmengine - INFO - Epoch(train) [249][400/1879] lr: 1.0000e-04 eta: 1:09:51 time: 0.3043 data_time: 0.0238 memory: 8198 grad_norm: 7.5498 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9710 loss: 0.9710 2022/08/04 04:26:20 - mmengine - INFO - Epoch(train) [249][420/1879] lr: 1.0000e-04 eta: 1:09:45 time: 0.2841 data_time: 0.0199 memory: 8198 grad_norm: 7.4106 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9870 loss: 0.9870 2022/08/04 04:26:26 - mmengine - INFO - Epoch(train) [249][440/1879] lr: 1.0000e-04 eta: 1:09:39 time: 0.2879 data_time: 0.0225 memory: 8198 grad_norm: 7.2663 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8589 loss: 0.8589 2022/08/04 04:26:32 - mmengine - INFO - Epoch(train) [249][460/1879] lr: 1.0000e-04 eta: 1:09:33 time: 0.2886 data_time: 0.0267 memory: 8198 grad_norm: 7.5959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9803 loss: 0.9803 2022/08/04 04:26:37 - mmengine - INFO - Epoch(train) [249][480/1879] lr: 1.0000e-04 eta: 1:09:28 time: 0.2921 data_time: 0.0204 memory: 8198 grad_norm: 7.2558 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 0.8434 loss: 0.8434 2022/08/04 04:26:43 - mmengine - INFO - Epoch(train) [249][500/1879] lr: 1.0000e-04 eta: 1:09:22 time: 0.2849 data_time: 0.0263 memory: 8198 grad_norm: 7.4141 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9636 loss: 0.9636 2022/08/04 04:26:49 - mmengine - INFO - Epoch(train) [249][520/1879] lr: 1.0000e-04 eta: 1:09:16 time: 0.2863 data_time: 0.0250 memory: 8198 grad_norm: 7.4804 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9115 loss: 0.9115 2022/08/04 04:26:55 - mmengine - INFO - Epoch(train) [249][540/1879] lr: 1.0000e-04 eta: 1:09:11 time: 0.2952 data_time: 0.0308 memory: 8198 grad_norm: 7.3788 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9690 loss: 0.9690 2022/08/04 04:27:01 - mmengine - INFO - Epoch(train) [249][560/1879] lr: 1.0000e-04 eta: 1:09:05 time: 0.2834 data_time: 0.0200 memory: 8198 grad_norm: 7.4355 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0044 loss: 1.0044 2022/08/04 04:27:06 - mmengine - INFO - Epoch(train) [249][580/1879] lr: 1.0000e-04 eta: 1:08:59 time: 0.2895 data_time: 0.0246 memory: 8198 grad_norm: 7.1840 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8649 loss: 0.8649 2022/08/04 04:27:12 - mmengine - INFO - Epoch(train) [249][600/1879] lr: 1.0000e-04 eta: 1:08:53 time: 0.2847 data_time: 0.0166 memory: 8198 grad_norm: 7.4755 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/08/04 04:27:18 - mmengine - INFO - Epoch(train) [249][620/1879] lr: 1.0000e-04 eta: 1:08:48 time: 0.2915 data_time: 0.0236 memory: 8198 grad_norm: 7.6662 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9185 loss: 0.9185 2022/08/04 04:27:24 - mmengine - INFO - Epoch(train) [249][640/1879] lr: 1.0000e-04 eta: 1:08:42 time: 0.2855 data_time: 0.0220 memory: 8198 grad_norm: 7.3007 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0195 loss: 1.0195 2022/08/04 04:27:29 - mmengine - INFO - Epoch(train) [249][660/1879] lr: 1.0000e-04 eta: 1:08:36 time: 0.2858 data_time: 0.0230 memory: 8198 grad_norm: 7.2498 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0362 loss: 1.0362 2022/08/04 04:27:36 - mmengine - INFO - Epoch(train) [249][680/1879] lr: 1.0000e-04 eta: 1:08:30 time: 0.3049 data_time: 0.0217 memory: 8198 grad_norm: 7.4630 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9212 loss: 0.9212 2022/08/04 04:27:41 - mmengine - INFO - Epoch(train) [249][700/1879] lr: 1.0000e-04 eta: 1:08:25 time: 0.2860 data_time: 0.0185 memory: 8198 grad_norm: 7.4672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/04 04:27:47 - mmengine - INFO - Epoch(train) [249][720/1879] lr: 1.0000e-04 eta: 1:08:19 time: 0.2877 data_time: 0.0251 memory: 8198 grad_norm: 8.0017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/08/04 04:27:53 - mmengine - INFO - Epoch(train) [249][740/1879] lr: 1.0000e-04 eta: 1:08:13 time: 0.2866 data_time: 0.0230 memory: 8198 grad_norm: 7.2513 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7192 loss: 0.7192 2022/08/04 04:27:59 - mmengine - INFO - Epoch(train) [249][760/1879] lr: 1.0000e-04 eta: 1:08:08 time: 0.2937 data_time: 0.0250 memory: 8198 grad_norm: 7.2906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9131 loss: 0.9131 2022/08/04 04:28:05 - mmengine - INFO - Epoch(train) [249][780/1879] lr: 1.0000e-04 eta: 1:08:02 time: 0.2885 data_time: 0.0266 memory: 8198 grad_norm: 7.5667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/04 04:28:10 - mmengine - INFO - Epoch(train) [249][800/1879] lr: 1.0000e-04 eta: 1:07:56 time: 0.2827 data_time: 0.0229 memory: 8198 grad_norm: 7.4627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8469 loss: 0.8469 2022/08/04 04:28:16 - mmengine - INFO - Epoch(train) [249][820/1879] lr: 1.0000e-04 eta: 1:07:50 time: 0.2922 data_time: 0.0248 memory: 8198 grad_norm: 7.6165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8895 loss: 0.8895 2022/08/04 04:28:22 - mmengine - INFO - Epoch(train) [249][840/1879] lr: 1.0000e-04 eta: 1:07:45 time: 0.2852 data_time: 0.0205 memory: 8198 grad_norm: 7.8450 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/08/04 04:28:28 - mmengine - INFO - Epoch(train) [249][860/1879] lr: 1.0000e-04 eta: 1:07:39 time: 0.2889 data_time: 0.0222 memory: 8198 grad_norm: 7.6313 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9636 loss: 0.9636 2022/08/04 04:28:34 - mmengine - INFO - Epoch(train) [249][880/1879] lr: 1.0000e-04 eta: 1:07:33 time: 0.2935 data_time: 0.0184 memory: 8198 grad_norm: 7.3896 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/08/04 04:28:39 - mmengine - INFO - Epoch(train) [249][900/1879] lr: 1.0000e-04 eta: 1:07:27 time: 0.2843 data_time: 0.0205 memory: 8198 grad_norm: 7.4220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8979 loss: 0.8979 2022/08/04 04:28:45 - mmengine - INFO - Epoch(train) [249][920/1879] lr: 1.0000e-04 eta: 1:07:22 time: 0.2859 data_time: 0.0207 memory: 8198 grad_norm: 7.3217 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9397 loss: 0.9397 2022/08/04 04:28:51 - mmengine - INFO - Epoch(train) [249][940/1879] lr: 1.0000e-04 eta: 1:07:16 time: 0.2875 data_time: 0.0260 memory: 8198 grad_norm: 7.3325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8580 loss: 0.8580 2022/08/04 04:28:57 - mmengine - INFO - Epoch(train) [249][960/1879] lr: 1.0000e-04 eta: 1:07:10 time: 0.3055 data_time: 0.0174 memory: 8198 grad_norm: 7.5044 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9873 loss: 0.9873 2022/08/04 04:29:03 - mmengine - INFO - Epoch(train) [249][980/1879] lr: 1.0000e-04 eta: 1:07:05 time: 0.2870 data_time: 0.0219 memory: 8198 grad_norm: 7.4353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/08/04 04:29:09 - mmengine - INFO - Epoch(train) [249][1000/1879] lr: 1.0000e-04 eta: 1:06:59 time: 0.2864 data_time: 0.0209 memory: 8198 grad_norm: 7.3088 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/04 04:29:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:29:15 - mmengine - INFO - Epoch(train) [249][1020/1879] lr: 1.0000e-04 eta: 1:06:53 time: 0.2999 data_time: 0.0233 memory: 8198 grad_norm: 7.4245 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7964 loss: 0.7964 2022/08/04 04:29:20 - mmengine - INFO - Epoch(train) [249][1040/1879] lr: 1.0000e-04 eta: 1:06:47 time: 0.2844 data_time: 0.0231 memory: 8198 grad_norm: 7.4951 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8517 loss: 0.8517 2022/08/04 04:29:26 - mmengine - INFO - Epoch(train) [249][1060/1879] lr: 1.0000e-04 eta: 1:06:42 time: 0.2845 data_time: 0.0191 memory: 8198 grad_norm: 7.4703 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9441 loss: 0.9441 2022/08/04 04:29:32 - mmengine - INFO - Epoch(train) [249][1080/1879] lr: 1.0000e-04 eta: 1:06:36 time: 0.2835 data_time: 0.0222 memory: 8198 grad_norm: 7.4611 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8619 loss: 0.8619 2022/08/04 04:29:38 - mmengine - INFO - Epoch(train) [249][1100/1879] lr: 1.0000e-04 eta: 1:06:30 time: 0.2894 data_time: 0.0238 memory: 8198 grad_norm: 7.8253 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0905 loss: 1.0905 2022/08/04 04:29:43 - mmengine - INFO - Epoch(train) [249][1120/1879] lr: 1.0000e-04 eta: 1:06:24 time: 0.2893 data_time: 0.0195 memory: 8198 grad_norm: 7.4117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/08/04 04:29:49 - mmengine - INFO - Epoch(train) [249][1140/1879] lr: 1.0000e-04 eta: 1:06:19 time: 0.2867 data_time: 0.0246 memory: 8198 grad_norm: 7.2500 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8482 loss: 0.8482 2022/08/04 04:29:55 - mmengine - INFO - Epoch(train) [249][1160/1879] lr: 1.0000e-04 eta: 1:06:13 time: 0.3025 data_time: 0.0235 memory: 8198 grad_norm: 7.5586 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8689 loss: 0.8689 2022/08/04 04:30:01 - mmengine - INFO - Epoch(train) [249][1180/1879] lr: 1.0000e-04 eta: 1:06:07 time: 0.2843 data_time: 0.0247 memory: 8198 grad_norm: 7.4825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9154 loss: 0.9154 2022/08/04 04:30:07 - mmengine - INFO - Epoch(train) [249][1200/1879] lr: 1.0000e-04 eta: 1:06:02 time: 0.2857 data_time: 0.0200 memory: 8198 grad_norm: 7.1695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/08/04 04:30:13 - mmengine - INFO - Epoch(train) [249][1220/1879] lr: 1.0000e-04 eta: 1:05:56 time: 0.2911 data_time: 0.0255 memory: 8198 grad_norm: 7.4943 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0095 loss: 1.0095 2022/08/04 04:30:18 - mmengine - INFO - Epoch(train) [249][1240/1879] lr: 1.0000e-04 eta: 1:05:50 time: 0.2894 data_time: 0.0174 memory: 8198 grad_norm: 7.3168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/08/04 04:30:24 - mmengine - INFO - Epoch(train) [249][1260/1879] lr: 1.0000e-04 eta: 1:05:44 time: 0.2919 data_time: 0.0228 memory: 8198 grad_norm: 7.3903 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8091 loss: 0.8091 2022/08/04 04:30:30 - mmengine - INFO - Epoch(train) [249][1280/1879] lr: 1.0000e-04 eta: 1:05:39 time: 0.2860 data_time: 0.0257 memory: 8198 grad_norm: 7.6332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/08/04 04:30:36 - mmengine - INFO - Epoch(train) [249][1300/1879] lr: 1.0000e-04 eta: 1:05:33 time: 0.2967 data_time: 0.0220 memory: 8198 grad_norm: 7.6081 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9378 loss: 0.9378 2022/08/04 04:30:42 - mmengine - INFO - Epoch(train) [249][1320/1879] lr: 1.0000e-04 eta: 1:05:27 time: 0.2890 data_time: 0.0277 memory: 8198 grad_norm: 7.4054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8317 loss: 0.8317 2022/08/04 04:30:48 - mmengine - INFO - Epoch(train) [249][1340/1879] lr: 1.0000e-04 eta: 1:05:21 time: 0.2865 data_time: 0.0228 memory: 8198 grad_norm: 7.4405 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8731 loss: 0.8731 2022/08/04 04:30:53 - mmengine - INFO - Epoch(train) [249][1360/1879] lr: 1.0000e-04 eta: 1:05:16 time: 0.2870 data_time: 0.0207 memory: 8198 grad_norm: 7.3950 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0278 loss: 1.0278 2022/08/04 04:30:59 - mmengine - INFO - Epoch(train) [249][1380/1879] lr: 1.0000e-04 eta: 1:05:10 time: 0.2890 data_time: 0.0230 memory: 8198 grad_norm: 7.4626 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9306 loss: 0.9306 2022/08/04 04:31:05 - mmengine - INFO - Epoch(train) [249][1400/1879] lr: 1.0000e-04 eta: 1:05:04 time: 0.2837 data_time: 0.0172 memory: 8198 grad_norm: 7.4978 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9313 loss: 0.9313 2022/08/04 04:31:11 - mmengine - INFO - Epoch(train) [249][1420/1879] lr: 1.0000e-04 eta: 1:04:59 time: 0.2872 data_time: 0.0236 memory: 8198 grad_norm: 7.5474 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1248 loss: 1.1248 2022/08/04 04:31:17 - mmengine - INFO - Epoch(train) [249][1440/1879] lr: 1.0000e-04 eta: 1:04:53 time: 0.2941 data_time: 0.0255 memory: 8198 grad_norm: 7.2613 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0394 loss: 1.0394 2022/08/04 04:31:22 - mmengine - INFO - Epoch(train) [249][1460/1879] lr: 1.0000e-04 eta: 1:04:47 time: 0.2869 data_time: 0.0229 memory: 8198 grad_norm: 7.5583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0701 loss: 1.0701 2022/08/04 04:31:28 - mmengine - INFO - Epoch(train) [249][1480/1879] lr: 1.0000e-04 eta: 1:04:41 time: 0.2869 data_time: 0.0210 memory: 8198 grad_norm: 7.4992 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8468 loss: 0.8468 2022/08/04 04:31:34 - mmengine - INFO - Epoch(train) [249][1500/1879] lr: 1.0000e-04 eta: 1:04:36 time: 0.2863 data_time: 0.0190 memory: 8198 grad_norm: 7.4010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9018 loss: 0.9018 2022/08/04 04:31:40 - mmengine - INFO - Epoch(train) [249][1520/1879] lr: 1.0000e-04 eta: 1:04:30 time: 0.2893 data_time: 0.0184 memory: 8198 grad_norm: 7.3333 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7397 loss: 0.7397 2022/08/04 04:31:46 - mmengine - INFO - Epoch(train) [249][1540/1879] lr: 1.0000e-04 eta: 1:04:24 time: 0.2967 data_time: 0.0244 memory: 8198 grad_norm: 7.6121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8540 loss: 0.8540 2022/08/04 04:31:51 - mmengine - INFO - Epoch(train) [249][1560/1879] lr: 1.0000e-04 eta: 1:04:18 time: 0.2829 data_time: 0.0259 memory: 8198 grad_norm: 7.5731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8975 loss: 0.8975 2022/08/04 04:31:57 - mmengine - INFO - Epoch(train) [249][1580/1879] lr: 1.0000e-04 eta: 1:04:13 time: 0.2876 data_time: 0.0240 memory: 8198 grad_norm: 7.7302 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8819 loss: 0.8819 2022/08/04 04:32:03 - mmengine - INFO - Epoch(train) [249][1600/1879] lr: 1.0000e-04 eta: 1:04:07 time: 0.2845 data_time: 0.0221 memory: 8198 grad_norm: 7.3375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9434 loss: 0.9434 2022/08/04 04:32:09 - mmengine - INFO - Epoch(train) [249][1620/1879] lr: 1.0000e-04 eta: 1:04:01 time: 0.2890 data_time: 0.0232 memory: 8198 grad_norm: 7.5219 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8395 loss: 0.8395 2022/08/04 04:32:14 - mmengine - INFO - Epoch(train) [249][1640/1879] lr: 1.0000e-04 eta: 1:03:56 time: 0.2868 data_time: 0.0223 memory: 8198 grad_norm: 7.4925 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9977 loss: 0.9977 2022/08/04 04:32:20 - mmengine - INFO - Epoch(train) [249][1660/1879] lr: 1.0000e-04 eta: 1:03:50 time: 0.2886 data_time: 0.0245 memory: 8198 grad_norm: 7.6517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8671 loss: 0.8671 2022/08/04 04:32:26 - mmengine - INFO - Epoch(train) [249][1680/1879] lr: 1.0000e-04 eta: 1:03:44 time: 0.2885 data_time: 0.0245 memory: 8198 grad_norm: 7.6278 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9938 loss: 0.9938 2022/08/04 04:32:32 - mmengine - INFO - Epoch(train) [249][1700/1879] lr: 1.0000e-04 eta: 1:03:38 time: 0.2859 data_time: 0.0234 memory: 8198 grad_norm: 7.4339 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9523 loss: 0.9523 2022/08/04 04:32:38 - mmengine - INFO - Epoch(train) [249][1720/1879] lr: 1.0000e-04 eta: 1:03:33 time: 0.2972 data_time: 0.0189 memory: 8198 grad_norm: 7.2948 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7124 loss: 0.7124 2022/08/04 04:32:43 - mmengine - INFO - Epoch(train) [249][1740/1879] lr: 1.0000e-04 eta: 1:03:27 time: 0.2860 data_time: 0.0205 memory: 8198 grad_norm: 7.5146 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1003 loss: 1.1003 2022/08/04 04:32:49 - mmengine - INFO - Epoch(train) [249][1760/1879] lr: 1.0000e-04 eta: 1:03:21 time: 0.2987 data_time: 0.0252 memory: 8198 grad_norm: 7.3220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9054 loss: 0.9054 2022/08/04 04:32:55 - mmengine - INFO - Epoch(train) [249][1780/1879] lr: 1.0000e-04 eta: 1:03:15 time: 0.2855 data_time: 0.0229 memory: 8198 grad_norm: 7.4784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1230 loss: 1.1230 2022/08/04 04:33:01 - mmengine - INFO - Epoch(train) [249][1800/1879] lr: 1.0000e-04 eta: 1:03:10 time: 0.2873 data_time: 0.0234 memory: 8198 grad_norm: 7.5529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9558 loss: 0.9558 2022/08/04 04:33:07 - mmengine - INFO - Epoch(train) [249][1820/1879] lr: 1.0000e-04 eta: 1:03:04 time: 0.2878 data_time: 0.0236 memory: 8198 grad_norm: 7.2333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8962 loss: 0.8962 2022/08/04 04:33:12 - mmengine - INFO - Epoch(train) [249][1840/1879] lr: 1.0000e-04 eta: 1:02:58 time: 0.2852 data_time: 0.0202 memory: 8198 grad_norm: 7.3937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8007 loss: 0.8007 2022/08/04 04:33:18 - mmengine - INFO - Epoch(train) [249][1860/1879] lr: 1.0000e-04 eta: 1:02:53 time: 0.2982 data_time: 0.0208 memory: 8198 grad_norm: 7.4668 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8170 loss: 0.8170 2022/08/04 04:33:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:33:23 - mmengine - INFO - Epoch(train) [249][1879/1879] lr: 1.0000e-04 eta: 1:02:53 time: 0.2592 data_time: 0.0148 memory: 8198 grad_norm: 7.6736 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/08/04 04:33:32 - mmengine - INFO - Epoch(train) [250][20/1879] lr: 1.0000e-04 eta: 1:02:41 time: 0.4020 data_time: 0.1025 memory: 8198 grad_norm: 7.4698 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/04 04:33:38 - mmengine - INFO - Epoch(train) [250][40/1879] lr: 1.0000e-04 eta: 1:02:36 time: 0.2970 data_time: 0.0210 memory: 8198 grad_norm: 7.6129 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9649 loss: 0.9649 2022/08/04 04:33:43 - mmengine - INFO - Epoch(train) [250][60/1879] lr: 1.0000e-04 eta: 1:02:30 time: 0.2939 data_time: 0.0227 memory: 8198 grad_norm: 7.5775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/04 04:33:49 - mmengine - INFO - Epoch(train) [250][80/1879] lr: 1.0000e-04 eta: 1:02:24 time: 0.2903 data_time: 0.0197 memory: 8198 grad_norm: 7.3018 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8202 loss: 0.8202 2022/08/04 04:33:55 - mmengine - INFO - Epoch(train) [250][100/1879] lr: 1.0000e-04 eta: 1:02:18 time: 0.2940 data_time: 0.0267 memory: 8198 grad_norm: 7.6846 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8749 loss: 0.8749 2022/08/04 04:34:01 - mmengine - INFO - Epoch(train) [250][120/1879] lr: 1.0000e-04 eta: 1:02:13 time: 0.2856 data_time: 0.0219 memory: 8198 grad_norm: 7.6997 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8368 loss: 0.8368 2022/08/04 04:34:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:34:07 - mmengine - INFO - Epoch(train) [250][140/1879] lr: 1.0000e-04 eta: 1:02:07 time: 0.2884 data_time: 0.0223 memory: 8198 grad_norm: 7.3826 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9318 loss: 0.9318 2022/08/04 04:34:12 - mmengine - INFO - Epoch(train) [250][160/1879] lr: 1.0000e-04 eta: 1:02:01 time: 0.2856 data_time: 0.0177 memory: 8198 grad_norm: 7.3989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7986 loss: 0.7986 2022/08/04 04:34:18 - mmengine - INFO - Epoch(train) [250][180/1879] lr: 1.0000e-04 eta: 1:01:55 time: 0.2902 data_time: 0.0281 memory: 8198 grad_norm: 7.3322 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8007 loss: 0.8007 2022/08/04 04:34:24 - mmengine - INFO - Epoch(train) [250][200/1879] lr: 1.0000e-04 eta: 1:01:50 time: 0.2889 data_time: 0.0210 memory: 8198 grad_norm: 7.5121 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/04 04:34:30 - mmengine - INFO - Epoch(train) [250][220/1879] lr: 1.0000e-04 eta: 1:01:44 time: 0.2878 data_time: 0.0248 memory: 8198 grad_norm: 7.6645 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9199 loss: 0.9199 2022/08/04 04:34:36 - mmengine - INFO - Epoch(train) [250][240/1879] lr: 1.0000e-04 eta: 1:01:38 time: 0.2886 data_time: 0.0199 memory: 8198 grad_norm: 7.5733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9803 loss: 0.9803 2022/08/04 04:34:41 - mmengine - INFO - Epoch(train) [250][260/1879] lr: 1.0000e-04 eta: 1:01:33 time: 0.2854 data_time: 0.0214 memory: 8198 grad_norm: 7.3160 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9583 loss: 0.9583 2022/08/04 04:34:47 - mmengine - INFO - Epoch(train) [250][280/1879] lr: 1.0000e-04 eta: 1:01:27 time: 0.2878 data_time: 0.0206 memory: 8198 grad_norm: 7.5641 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9501 loss: 0.9501 2022/08/04 04:34:53 - mmengine - INFO - Epoch(train) [250][300/1879] lr: 1.0000e-04 eta: 1:01:21 time: 0.2854 data_time: 0.0222 memory: 8198 grad_norm: 7.3209 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8314 loss: 0.8314 2022/08/04 04:34:59 - mmengine - INFO - Epoch(train) [250][320/1879] lr: 1.0000e-04 eta: 1:01:15 time: 0.2872 data_time: 0.0193 memory: 8198 grad_norm: 7.4784 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8446 loss: 0.8446 2022/08/04 04:35:05 - mmengine - INFO - Epoch(train) [250][340/1879] lr: 1.0000e-04 eta: 1:01:10 time: 0.3049 data_time: 0.0239 memory: 8198 grad_norm: 7.3585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7335 loss: 0.7335 2022/08/04 04:35:11 - mmengine - INFO - Epoch(train) [250][360/1879] lr: 1.0000e-04 eta: 1:01:04 time: 0.2812 data_time: 0.0183 memory: 8198 grad_norm: 7.5149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0284 loss: 1.0284 2022/08/04 04:35:16 - mmengine - INFO - Epoch(train) [250][380/1879] lr: 1.0000e-04 eta: 1:00:58 time: 0.2950 data_time: 0.0260 memory: 8198 grad_norm: 7.5576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0432 loss: 1.0432 2022/08/04 04:35:22 - mmengine - INFO - Epoch(train) [250][400/1879] lr: 1.0000e-04 eta: 1:00:52 time: 0.2831 data_time: 0.0197 memory: 8198 grad_norm: 7.4580 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9631 loss: 0.9631 2022/08/04 04:35:28 - mmengine - INFO - Epoch(train) [250][420/1879] lr: 1.0000e-04 eta: 1:00:47 time: 0.2911 data_time: 0.0246 memory: 8198 grad_norm: 7.3141 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9698 loss: 0.9698 2022/08/04 04:35:34 - mmengine - INFO - Epoch(train) [250][440/1879] lr: 1.0000e-04 eta: 1:00:41 time: 0.2874 data_time: 0.0226 memory: 8198 grad_norm: 7.5127 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9008 loss: 0.9008 2022/08/04 04:35:40 - mmengine - INFO - Epoch(train) [250][460/1879] lr: 1.0000e-04 eta: 1:00:35 time: 0.2889 data_time: 0.0225 memory: 8198 grad_norm: 7.6104 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0625 loss: 1.0625 2022/08/04 04:35:45 - mmengine - INFO - Epoch(train) [250][480/1879] lr: 1.0000e-04 eta: 1:00:30 time: 0.2906 data_time: 0.0229 memory: 8198 grad_norm: 7.3317 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9307 loss: 0.9307 2022/08/04 04:35:51 - mmengine - INFO - Epoch(train) [250][500/1879] lr: 1.0000e-04 eta: 1:00:24 time: 0.2874 data_time: 0.0189 memory: 8198 grad_norm: 7.6930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8768 loss: 0.8768 2022/08/04 04:35:57 - mmengine - INFO - Epoch(train) [250][520/1879] lr: 1.0000e-04 eta: 1:00:18 time: 0.2869 data_time: 0.0184 memory: 8198 grad_norm: 7.0357 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9655 loss: 0.9655 2022/08/04 04:36:03 - mmengine - INFO - Epoch(train) [250][540/1879] lr: 1.0000e-04 eta: 1:00:12 time: 0.2863 data_time: 0.0268 memory: 8198 grad_norm: 7.4393 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8520 loss: 0.8520 2022/08/04 04:36:09 - mmengine - INFO - Epoch(train) [250][560/1879] lr: 1.0000e-04 eta: 1:00:07 time: 0.2929 data_time: 0.0240 memory: 8198 grad_norm: 7.3672 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0134 loss: 1.0134 2022/08/04 04:36:14 - mmengine - INFO - Epoch(train) [250][580/1879] lr: 1.0000e-04 eta: 1:00:01 time: 0.2878 data_time: 0.0245 memory: 8198 grad_norm: 7.3839 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7683 loss: 0.7683 2022/08/04 04:36:20 - mmengine - INFO - Epoch(train) [250][600/1879] lr: 1.0000e-04 eta: 0:59:55 time: 0.2844 data_time: 0.0180 memory: 8198 grad_norm: 7.4736 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9802 loss: 0.9802 2022/08/04 04:36:26 - mmengine - INFO - Epoch(train) [250][620/1879] lr: 1.0000e-04 eta: 0:59:49 time: 0.2923 data_time: 0.0252 memory: 8198 grad_norm: 7.3869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0047 loss: 1.0047 2022/08/04 04:36:32 - mmengine - INFO - Epoch(train) [250][640/1879] lr: 1.0000e-04 eta: 0:59:44 time: 0.2859 data_time: 0.0251 memory: 8198 grad_norm: 7.4607 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9632 loss: 0.9632 2022/08/04 04:36:38 - mmengine - INFO - Epoch(train) [250][660/1879] lr: 1.0000e-04 eta: 0:59:38 time: 0.2865 data_time: 0.0197 memory: 8198 grad_norm: 7.3919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9564 loss: 0.9564 2022/08/04 04:36:43 - mmengine - INFO - Epoch(train) [250][680/1879] lr: 1.0000e-04 eta: 0:59:32 time: 0.2859 data_time: 0.0185 memory: 8198 grad_norm: 7.2792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8756 loss: 0.8756 2022/08/04 04:36:49 - mmengine - INFO - Epoch(train) [250][700/1879] lr: 1.0000e-04 eta: 0:59:27 time: 0.3002 data_time: 0.0231 memory: 8198 grad_norm: 7.4320 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0940 loss: 1.0940 2022/08/04 04:36:55 - mmengine - INFO - Epoch(train) [250][720/1879] lr: 1.0000e-04 eta: 0:59:21 time: 0.2868 data_time: 0.0215 memory: 8198 grad_norm: 7.4861 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8533 loss: 0.8533 2022/08/04 04:37:01 - mmengine - INFO - Epoch(train) [250][740/1879] lr: 1.0000e-04 eta: 0:59:15 time: 0.2852 data_time: 0.0175 memory: 8198 grad_norm: 7.5338 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0261 loss: 1.0261 2022/08/04 04:37:07 - mmengine - INFO - Epoch(train) [250][760/1879] lr: 1.0000e-04 eta: 0:59:09 time: 0.2910 data_time: 0.0245 memory: 8198 grad_norm: 7.3041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0009 loss: 1.0009 2022/08/04 04:37:12 - mmengine - INFO - Epoch(train) [250][780/1879] lr: 1.0000e-04 eta: 0:59:04 time: 0.2855 data_time: 0.0227 memory: 8198 grad_norm: 7.8521 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0653 loss: 1.0653 2022/08/04 04:37:18 - mmengine - INFO - Epoch(train) [250][800/1879] lr: 1.0000e-04 eta: 0:58:58 time: 0.2931 data_time: 0.0232 memory: 8198 grad_norm: 7.2957 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9022 loss: 0.9022 2022/08/04 04:37:24 - mmengine - INFO - Epoch(train) [250][820/1879] lr: 1.0000e-04 eta: 0:58:52 time: 0.2954 data_time: 0.0251 memory: 8198 grad_norm: 7.5100 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9337 loss: 0.9337 2022/08/04 04:37:30 - mmengine - INFO - Epoch(train) [250][840/1879] lr: 1.0000e-04 eta: 0:58:46 time: 0.2868 data_time: 0.0183 memory: 8198 grad_norm: 7.4454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/04 04:37:36 - mmengine - INFO - Epoch(train) [250][860/1879] lr: 1.0000e-04 eta: 0:58:41 time: 0.2869 data_time: 0.0207 memory: 8198 grad_norm: 7.4991 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1146 loss: 1.1146 2022/08/04 04:37:42 - mmengine - INFO - Epoch(train) [250][880/1879] lr: 1.0000e-04 eta: 0:58:35 time: 0.2864 data_time: 0.0248 memory: 8198 grad_norm: 7.5715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9079 loss: 0.9079 2022/08/04 04:37:47 - mmengine - INFO - Epoch(train) [250][900/1879] lr: 1.0000e-04 eta: 0:58:29 time: 0.2898 data_time: 0.0194 memory: 8198 grad_norm: 7.4269 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9490 loss: 0.9490 2022/08/04 04:37:53 - mmengine - INFO - Epoch(train) [250][920/1879] lr: 1.0000e-04 eta: 0:58:24 time: 0.2890 data_time: 0.0247 memory: 8198 grad_norm: 7.5795 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/08/04 04:37:59 - mmengine - INFO - Epoch(train) [250][940/1879] lr: 1.0000e-04 eta: 0:58:18 time: 0.2904 data_time: 0.0243 memory: 8198 grad_norm: 7.1978 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/08/04 04:38:05 - mmengine - INFO - Epoch(train) [250][960/1879] lr: 1.0000e-04 eta: 0:58:12 time: 0.2853 data_time: 0.0234 memory: 8198 grad_norm: 7.4284 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9422 loss: 0.9422 2022/08/04 04:38:11 - mmengine - INFO - Epoch(train) [250][980/1879] lr: 1.0000e-04 eta: 0:58:06 time: 0.2877 data_time: 0.0230 memory: 8198 grad_norm: 7.3382 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8226 loss: 0.8226 2022/08/04 04:38:17 - mmengine - INFO - Epoch(train) [250][1000/1879] lr: 1.0000e-04 eta: 0:58:01 time: 0.3101 data_time: 0.0204 memory: 8198 grad_norm: 7.3792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8936 loss: 0.8936 2022/08/04 04:38:23 - mmengine - INFO - Epoch(train) [250][1020/1879] lr: 1.0000e-04 eta: 0:57:55 time: 0.2855 data_time: 0.0261 memory: 8198 grad_norm: 7.6404 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7988 loss: 0.7988 2022/08/04 04:38:29 - mmengine - INFO - Epoch(train) [250][1040/1879] lr: 1.0000e-04 eta: 0:57:49 time: 0.2928 data_time: 0.0265 memory: 8198 grad_norm: 7.3907 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6988 loss: 0.6988 2022/08/04 04:38:34 - mmengine - INFO - Epoch(train) [250][1060/1879] lr: 1.0000e-04 eta: 0:57:43 time: 0.2968 data_time: 0.0261 memory: 8198 grad_norm: 7.3414 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9772 loss: 0.9772 2022/08/04 04:38:40 - mmengine - INFO - Epoch(train) [250][1080/1879] lr: 1.0000e-04 eta: 0:57:38 time: 0.2933 data_time: 0.0194 memory: 8198 grad_norm: 7.4420 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0089 loss: 1.0089 2022/08/04 04:38:46 - mmengine - INFO - Epoch(train) [250][1100/1879] lr: 1.0000e-04 eta: 0:57:32 time: 0.2899 data_time: 0.0211 memory: 8198 grad_norm: 7.2663 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9514 loss: 0.9514 2022/08/04 04:38:52 - mmengine - INFO - Epoch(train) [250][1120/1879] lr: 1.0000e-04 eta: 0:57:26 time: 0.2866 data_time: 0.0237 memory: 8198 grad_norm: 7.7022 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9422 loss: 0.9422 2022/08/04 04:38:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:38:58 - mmengine - INFO - Epoch(train) [250][1140/1879] lr: 1.0000e-04 eta: 0:57:21 time: 0.2916 data_time: 0.0230 memory: 8198 grad_norm: 7.1594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8301 loss: 0.8301 2022/08/04 04:39:03 - mmengine - INFO - Epoch(train) [250][1160/1879] lr: 1.0000e-04 eta: 0:57:15 time: 0.2857 data_time: 0.0193 memory: 8198 grad_norm: 7.6484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7712 loss: 0.7712 2022/08/04 04:39:09 - mmengine - INFO - Epoch(train) [250][1180/1879] lr: 1.0000e-04 eta: 0:57:09 time: 0.2929 data_time: 0.0229 memory: 8198 grad_norm: 7.6188 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8910 loss: 0.8910 2022/08/04 04:39:15 - mmengine - INFO - Epoch(train) [250][1200/1879] lr: 1.0000e-04 eta: 0:57:03 time: 0.2910 data_time: 0.0245 memory: 8198 grad_norm: 7.5965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8206 loss: 0.8206 2022/08/04 04:39:21 - mmengine - INFO - Epoch(train) [250][1220/1879] lr: 1.0000e-04 eta: 0:56:58 time: 0.2856 data_time: 0.0239 memory: 8198 grad_norm: 7.2527 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8777 loss: 0.8777 2022/08/04 04:39:27 - mmengine - INFO - Epoch(train) [250][1240/1879] lr: 1.0000e-04 eta: 0:56:52 time: 0.2919 data_time: 0.0247 memory: 8198 grad_norm: 7.3106 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9817 loss: 0.9817 2022/08/04 04:39:33 - mmengine - INFO - Epoch(train) [250][1260/1879] lr: 1.0000e-04 eta: 0:56:46 time: 0.2882 data_time: 0.0232 memory: 8198 grad_norm: 7.3348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8674 loss: 0.8674 2022/08/04 04:39:39 - mmengine - INFO - Epoch(train) [250][1280/1879] lr: 1.0000e-04 eta: 0:56:40 time: 0.2929 data_time: 0.0221 memory: 8198 grad_norm: 7.4345 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9550 loss: 0.9550 2022/08/04 04:39:44 - mmengine - INFO - Epoch(train) [250][1300/1879] lr: 1.0000e-04 eta: 0:56:35 time: 0.2865 data_time: 0.0242 memory: 8198 grad_norm: 7.6619 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0646 loss: 1.0646 2022/08/04 04:39:50 - mmengine - INFO - Epoch(train) [250][1320/1879] lr: 1.0000e-04 eta: 0:56:29 time: 0.2899 data_time: 0.0203 memory: 8198 grad_norm: 7.5029 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0056 loss: 1.0056 2022/08/04 04:39:56 - mmengine - INFO - Epoch(train) [250][1340/1879] lr: 1.0000e-04 eta: 0:56:23 time: 0.2969 data_time: 0.0206 memory: 8198 grad_norm: 7.3394 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0307 loss: 1.0307 2022/08/04 04:40:02 - mmengine - INFO - Epoch(train) [250][1360/1879] lr: 1.0000e-04 eta: 0:56:18 time: 0.2873 data_time: 0.0219 memory: 8198 grad_norm: 7.4783 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7178 loss: 0.7178 2022/08/04 04:40:08 - mmengine - INFO - Epoch(train) [250][1380/1879] lr: 1.0000e-04 eta: 0:56:12 time: 0.2905 data_time: 0.0234 memory: 8198 grad_norm: 7.2239 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/04 04:40:13 - mmengine - INFO - Epoch(train) [250][1400/1879] lr: 1.0000e-04 eta: 0:56:06 time: 0.2869 data_time: 0.0208 memory: 8198 grad_norm: 7.2948 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8404 loss: 0.8404 2022/08/04 04:40:19 - mmengine - INFO - Epoch(train) [250][1420/1879] lr: 1.0000e-04 eta: 0:56:00 time: 0.2936 data_time: 0.0304 memory: 8198 grad_norm: 7.6229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0061 loss: 1.0061 2022/08/04 04:40:25 - mmengine - INFO - Epoch(train) [250][1440/1879] lr: 1.0000e-04 eta: 0:55:55 time: 0.2859 data_time: 0.0214 memory: 8198 grad_norm: 7.5227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0567 loss: 1.0567 2022/08/04 04:40:31 - mmengine - INFO - Epoch(train) [250][1460/1879] lr: 1.0000e-04 eta: 0:55:49 time: 0.2862 data_time: 0.0213 memory: 8198 grad_norm: 7.3511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8169 loss: 0.8169 2022/08/04 04:40:37 - mmengine - INFO - Epoch(train) [250][1480/1879] lr: 1.0000e-04 eta: 0:55:43 time: 0.2930 data_time: 0.0227 memory: 8198 grad_norm: 7.4555 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0302 loss: 1.0302 2022/08/04 04:40:42 - mmengine - INFO - Epoch(train) [250][1500/1879] lr: 1.0000e-04 eta: 0:55:37 time: 0.2860 data_time: 0.0253 memory: 8198 grad_norm: 7.6644 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1300 loss: 1.1300 2022/08/04 04:40:48 - mmengine - INFO - Epoch(train) [250][1520/1879] lr: 1.0000e-04 eta: 0:55:32 time: 0.2896 data_time: 0.0220 memory: 8198 grad_norm: 7.4448 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8907 loss: 0.8907 2022/08/04 04:40:54 - mmengine - INFO - Epoch(train) [250][1540/1879] lr: 1.0000e-04 eta: 0:55:26 time: 0.2845 data_time: 0.0240 memory: 8198 grad_norm: 7.7312 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0479 loss: 1.0479 2022/08/04 04:41:00 - mmengine - INFO - Epoch(train) [250][1560/1879] lr: 1.0000e-04 eta: 0:55:20 time: 0.2952 data_time: 0.0237 memory: 8198 grad_norm: 7.3651 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6999 loss: 0.6999 2022/08/04 04:41:06 - mmengine - INFO - Epoch(train) [250][1580/1879] lr: 1.0000e-04 eta: 0:55:15 time: 0.2984 data_time: 0.0201 memory: 8198 grad_norm: 7.5927 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8790 loss: 0.8790 2022/08/04 04:41:12 - mmengine - INFO - Epoch(train) [250][1600/1879] lr: 1.0000e-04 eta: 0:55:09 time: 0.2851 data_time: 0.0201 memory: 8198 grad_norm: 7.6378 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0035 loss: 1.0035 2022/08/04 04:41:18 - mmengine - INFO - Epoch(train) [250][1620/1879] lr: 1.0000e-04 eta: 0:55:03 time: 0.2938 data_time: 0.0245 memory: 8198 grad_norm: 7.2713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9163 loss: 0.9163 2022/08/04 04:41:23 - mmengine - INFO - Epoch(train) [250][1640/1879] lr: 1.0000e-04 eta: 0:54:57 time: 0.2882 data_time: 0.0205 memory: 8198 grad_norm: 7.5111 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0426 loss: 1.0426 2022/08/04 04:41:29 - mmengine - INFO - Epoch(train) [250][1660/1879] lr: 1.0000e-04 eta: 0:54:52 time: 0.2864 data_time: 0.0242 memory: 8198 grad_norm: 7.4363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8332 loss: 0.8332 2022/08/04 04:41:35 - mmengine - INFO - Epoch(train) [250][1680/1879] lr: 1.0000e-04 eta: 0:54:46 time: 0.3060 data_time: 0.0267 memory: 8198 grad_norm: 7.4916 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9205 loss: 0.9205 2022/08/04 04:41:41 - mmengine - INFO - Epoch(train) [250][1700/1879] lr: 1.0000e-04 eta: 0:54:40 time: 0.2836 data_time: 0.0190 memory: 8198 grad_norm: 7.3237 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9293 loss: 0.9293 2022/08/04 04:41:47 - mmengine - INFO - Epoch(train) [250][1720/1879] lr: 1.0000e-04 eta: 0:54:34 time: 0.2855 data_time: 0.0203 memory: 8198 grad_norm: 7.3808 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/08/04 04:41:52 - mmengine - INFO - Epoch(train) [250][1740/1879] lr: 1.0000e-04 eta: 0:54:29 time: 0.2840 data_time: 0.0242 memory: 8198 grad_norm: 7.5028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9380 loss: 0.9380 2022/08/04 04:41:58 - mmengine - INFO - Epoch(train) [250][1760/1879] lr: 1.0000e-04 eta: 0:54:23 time: 0.2939 data_time: 0.0227 memory: 8198 grad_norm: 7.2779 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9463 loss: 0.9463 2022/08/04 04:42:04 - mmengine - INFO - Epoch(train) [250][1780/1879] lr: 1.0000e-04 eta: 0:54:17 time: 0.2878 data_time: 0.0265 memory: 8198 grad_norm: 7.5411 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1192 loss: 1.1192 2022/08/04 04:42:10 - mmengine - INFO - Epoch(train) [250][1800/1879] lr: 1.0000e-04 eta: 0:54:12 time: 0.2877 data_time: 0.0252 memory: 8198 grad_norm: 7.1429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/08/04 04:42:16 - mmengine - INFO - Epoch(train) [250][1820/1879] lr: 1.0000e-04 eta: 0:54:06 time: 0.2880 data_time: 0.0209 memory: 8198 grad_norm: 7.3343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8622 loss: 0.8622 2022/08/04 04:42:22 - mmengine - INFO - Epoch(train) [250][1840/1879] lr: 1.0000e-04 eta: 0:54:00 time: 0.2861 data_time: 0.0209 memory: 8198 grad_norm: 7.6933 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9999 loss: 0.9999 2022/08/04 04:42:27 - mmengine - INFO - Epoch(train) [250][1860/1879] lr: 1.0000e-04 eta: 0:53:54 time: 0.2846 data_time: 0.0213 memory: 8198 grad_norm: 7.3349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0712 loss: 1.0712 2022/08/04 04:42:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:42:32 - mmengine - INFO - Epoch(train) [250][1879/1879] lr: 1.0000e-04 eta: 0:53:54 time: 0.2596 data_time: 0.0170 memory: 8198 grad_norm: 7.6087 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8778 loss: 0.8778 2022/08/04 04:42:40 - mmengine - INFO - Epoch(val) [250][20/155] eta: 0:00:49 time: 0.3676 data_time: 0.2799 memory: 1514 2022/08/04 04:42:44 - mmengine - INFO - Epoch(val) [250][40/155] eta: 0:00:26 time: 0.2317 data_time: 0.1460 memory: 1514 2022/08/04 04:42:50 - mmengine - INFO - Epoch(val) [250][60/155] eta: 0:00:27 time: 0.2878 data_time: 0.2042 memory: 1514 2022/08/04 04:42:55 - mmengine - INFO - Epoch(val) [250][80/155] eta: 0:00:16 time: 0.2261 data_time: 0.1395 memory: 1514 2022/08/04 04:43:01 - mmengine - INFO - Epoch(val) [250][100/155] eta: 0:00:17 time: 0.3122 data_time: 0.2255 memory: 1514 2022/08/04 04:43:05 - mmengine - INFO - Epoch(val) [250][120/155] eta: 0:00:07 time: 0.2276 data_time: 0.1363 memory: 1514 2022/08/04 04:43:11 - mmengine - INFO - Epoch(val) [250][140/155] eta: 0:00:04 time: 0.2855 data_time: 0.2003 memory: 1514 2022/08/04 04:43:18 - mmengine - INFO - Epoch(val) [250][155/155] acc/top1: 0.6794 acc/top5: 0.8668 acc/mean1: 0.6793 2022/08/04 04:43:27 - mmengine - INFO - Epoch(train) [251][20/1879] lr: 1.0000e-04 eta: 0:53:43 time: 0.4179 data_time: 0.1147 memory: 8198 grad_norm: 7.5185 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8428 loss: 0.8428 2022/08/04 04:43:33 - mmengine - INFO - Epoch(train) [251][40/1879] lr: 1.0000e-04 eta: 0:53:37 time: 0.2862 data_time: 0.0193 memory: 8198 grad_norm: 7.6071 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9863 loss: 0.9863 2022/08/04 04:43:38 - mmengine - INFO - Epoch(train) [251][60/1879] lr: 1.0000e-04 eta: 0:53:32 time: 0.2868 data_time: 0.0254 memory: 8198 grad_norm: 7.4442 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0055 loss: 1.0055 2022/08/04 04:43:44 - mmengine - INFO - Epoch(train) [251][80/1879] lr: 1.0000e-04 eta: 0:53:26 time: 0.2888 data_time: 0.0282 memory: 8198 grad_norm: 7.4163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9425 loss: 0.9425 2022/08/04 04:43:50 - mmengine - INFO - Epoch(train) [251][100/1879] lr: 1.0000e-04 eta: 0:53:20 time: 0.2935 data_time: 0.0192 memory: 8198 grad_norm: 7.4183 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9822 loss: 0.9822 2022/08/04 04:43:56 - mmengine - INFO - Epoch(train) [251][120/1879] lr: 1.0000e-04 eta: 0:53:15 time: 0.2873 data_time: 0.0187 memory: 8198 grad_norm: 7.4142 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8793 loss: 0.8793 2022/08/04 04:44:02 - mmengine - INFO - Epoch(train) [251][140/1879] lr: 1.0000e-04 eta: 0:53:09 time: 0.2857 data_time: 0.0207 memory: 8198 grad_norm: 7.3400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9881 loss: 0.9881 2022/08/04 04:44:07 - mmengine - INFO - Epoch(train) [251][160/1879] lr: 1.0000e-04 eta: 0:53:03 time: 0.2865 data_time: 0.0176 memory: 8198 grad_norm: 7.3398 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1136 loss: 1.1136 2022/08/04 04:44:13 - mmengine - INFO - Epoch(train) [251][180/1879] lr: 1.0000e-04 eta: 0:52:57 time: 0.2910 data_time: 0.0262 memory: 8198 grad_norm: 7.4558 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0004 loss: 1.0004 2022/08/04 04:44:19 - mmengine - INFO - Epoch(train) [251][200/1879] lr: 1.0000e-04 eta: 0:52:52 time: 0.2934 data_time: 0.0153 memory: 8198 grad_norm: 7.2335 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7404 loss: 0.7404 2022/08/04 04:44:25 - mmengine - INFO - Epoch(train) [251][220/1879] lr: 1.0000e-04 eta: 0:52:46 time: 0.2860 data_time: 0.0246 memory: 8198 grad_norm: 7.5031 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/08/04 04:44:31 - mmengine - INFO - Epoch(train) [251][240/1879] lr: 1.0000e-04 eta: 0:52:40 time: 0.2893 data_time: 0.0268 memory: 8198 grad_norm: 7.3745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0235 loss: 1.0235 2022/08/04 04:44:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:44:36 - mmengine - INFO - Epoch(train) [251][260/1879] lr: 1.0000e-04 eta: 0:52:34 time: 0.2859 data_time: 0.0243 memory: 8198 grad_norm: 7.3958 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8936 loss: 0.8936 2022/08/04 04:44:42 - mmengine - INFO - Epoch(train) [251][280/1879] lr: 1.0000e-04 eta: 0:52:29 time: 0.2843 data_time: 0.0201 memory: 8198 grad_norm: 7.4976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9852 loss: 0.9852 2022/08/04 04:44:48 - mmengine - INFO - Epoch(train) [251][300/1879] lr: 1.0000e-04 eta: 0:52:23 time: 0.2951 data_time: 0.0218 memory: 8198 grad_norm: 7.4074 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0211 loss: 1.0211 2022/08/04 04:44:54 - mmengine - INFO - Epoch(train) [251][320/1879] lr: 1.0000e-04 eta: 0:52:17 time: 0.2839 data_time: 0.0189 memory: 8198 grad_norm: 7.6139 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/04 04:45:00 - mmengine - INFO - Epoch(train) [251][340/1879] lr: 1.0000e-04 eta: 0:52:12 time: 0.2927 data_time: 0.0206 memory: 8198 grad_norm: 7.5822 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8783 loss: 0.8783 2022/08/04 04:45:05 - mmengine - INFO - Epoch(train) [251][360/1879] lr: 1.0000e-04 eta: 0:52:06 time: 0.2924 data_time: 0.0215 memory: 8198 grad_norm: 7.1038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8368 loss: 0.8368 2022/08/04 04:45:11 - mmengine - INFO - Epoch(train) [251][380/1879] lr: 1.0000e-04 eta: 0:52:00 time: 0.2874 data_time: 0.0233 memory: 8198 grad_norm: 7.7527 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8793 loss: 0.8793 2022/08/04 04:45:17 - mmengine - INFO - Epoch(train) [251][400/1879] lr: 1.0000e-04 eta: 0:51:54 time: 0.2866 data_time: 0.0173 memory: 8198 grad_norm: 7.4127 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9197 loss: 0.9197 2022/08/04 04:45:23 - mmengine - INFO - Epoch(train) [251][420/1879] lr: 1.0000e-04 eta: 0:51:49 time: 0.2843 data_time: 0.0221 memory: 8198 grad_norm: 7.4939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9654 loss: 0.9654 2022/08/04 04:45:29 - mmengine - INFO - Epoch(train) [251][440/1879] lr: 1.0000e-04 eta: 0:51:43 time: 0.2939 data_time: 0.0248 memory: 8198 grad_norm: 7.2097 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/08/04 04:45:34 - mmengine - INFO - Epoch(train) [251][460/1879] lr: 1.0000e-04 eta: 0:51:37 time: 0.2862 data_time: 0.0226 memory: 8198 grad_norm: 7.5282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/08/04 04:45:40 - mmengine - INFO - Epoch(train) [251][480/1879] lr: 1.0000e-04 eta: 0:51:31 time: 0.2871 data_time: 0.0242 memory: 8198 grad_norm: 7.4853 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9273 loss: 0.9273 2022/08/04 04:45:46 - mmengine - INFO - Epoch(train) [251][500/1879] lr: 1.0000e-04 eta: 0:51:26 time: 0.2953 data_time: 0.0265 memory: 8198 grad_norm: 7.3286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9107 loss: 0.9107 2022/08/04 04:45:52 - mmengine - INFO - Epoch(train) [251][520/1879] lr: 1.0000e-04 eta: 0:51:20 time: 0.2864 data_time: 0.0189 memory: 8198 grad_norm: 7.4713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9975 loss: 0.9975 2022/08/04 04:45:58 - mmengine - INFO - Epoch(train) [251][540/1879] lr: 1.0000e-04 eta: 0:51:14 time: 0.2892 data_time: 0.0213 memory: 8198 grad_norm: 7.3428 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9516 loss: 0.9516 2022/08/04 04:46:03 - mmengine - INFO - Epoch(train) [251][560/1879] lr: 1.0000e-04 eta: 0:51:08 time: 0.2871 data_time: 0.0222 memory: 8198 grad_norm: 7.4120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0136 loss: 1.0136 2022/08/04 04:46:09 - mmengine - INFO - Epoch(train) [251][580/1879] lr: 1.0000e-04 eta: 0:51:03 time: 0.2932 data_time: 0.0283 memory: 8198 grad_norm: 7.3897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8180 loss: 0.8180 2022/08/04 04:46:15 - mmengine - INFO - Epoch(train) [251][600/1879] lr: 1.0000e-04 eta: 0:50:57 time: 0.2838 data_time: 0.0185 memory: 8198 grad_norm: 7.2355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7501 loss: 0.7501 2022/08/04 04:46:21 - mmengine - INFO - Epoch(train) [251][620/1879] lr: 1.0000e-04 eta: 0:50:51 time: 0.2856 data_time: 0.0190 memory: 8198 grad_norm: 7.5701 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8529 loss: 0.8529 2022/08/04 04:46:27 - mmengine - INFO - Epoch(train) [251][640/1879] lr: 1.0000e-04 eta: 0:50:46 time: 0.2915 data_time: 0.0248 memory: 8198 grad_norm: 7.4482 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8864 loss: 0.8864 2022/08/04 04:46:32 - mmengine - INFO - Epoch(train) [251][660/1879] lr: 1.0000e-04 eta: 0:50:40 time: 0.2868 data_time: 0.0237 memory: 8198 grad_norm: 7.2905 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/08/04 04:46:38 - mmengine - INFO - Epoch(train) [251][680/1879] lr: 1.0000e-04 eta: 0:50:34 time: 0.2884 data_time: 0.0195 memory: 8198 grad_norm: 7.6374 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0736 loss: 1.0736 2022/08/04 04:46:44 - mmengine - INFO - Epoch(train) [251][700/1879] lr: 1.0000e-04 eta: 0:50:28 time: 0.2882 data_time: 0.0260 memory: 8198 grad_norm: 7.7417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8683 loss: 0.8683 2022/08/04 04:46:50 - mmengine - INFO - Epoch(train) [251][720/1879] lr: 1.0000e-04 eta: 0:50:23 time: 0.2901 data_time: 0.0250 memory: 8198 grad_norm: 7.3498 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8030 loss: 0.8030 2022/08/04 04:46:56 - mmengine - INFO - Epoch(train) [251][740/1879] lr: 1.0000e-04 eta: 0:50:17 time: 0.2949 data_time: 0.0296 memory: 8198 grad_norm: 7.5034 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/04 04:47:02 - mmengine - INFO - Epoch(train) [251][760/1879] lr: 1.0000e-04 eta: 0:50:11 time: 0.2851 data_time: 0.0225 memory: 8198 grad_norm: 7.5003 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/08/04 04:47:07 - mmengine - INFO - Epoch(train) [251][780/1879] lr: 1.0000e-04 eta: 0:50:05 time: 0.2858 data_time: 0.0237 memory: 8198 grad_norm: 7.3531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8355 loss: 0.8355 2022/08/04 04:47:13 - mmengine - INFO - Epoch(train) [251][800/1879] lr: 1.0000e-04 eta: 0:50:00 time: 0.2891 data_time: 0.0245 memory: 8198 grad_norm: 7.5130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0419 loss: 1.0419 2022/08/04 04:47:19 - mmengine - INFO - Epoch(train) [251][820/1879] lr: 1.0000e-04 eta: 0:49:54 time: 0.2985 data_time: 0.0244 memory: 8198 grad_norm: 7.4381 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9696 loss: 0.9696 2022/08/04 04:47:25 - mmengine - INFO - Epoch(train) [251][840/1879] lr: 1.0000e-04 eta: 0:49:48 time: 0.2830 data_time: 0.0224 memory: 8198 grad_norm: 7.3923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/08/04 04:47:31 - mmengine - INFO - Epoch(train) [251][860/1879] lr: 1.0000e-04 eta: 0:49:43 time: 0.2875 data_time: 0.0254 memory: 8198 grad_norm: 7.5286 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9079 loss: 0.9079 2022/08/04 04:47:37 - mmengine - INFO - Epoch(train) [251][880/1879] lr: 1.0000e-04 eta: 0:49:37 time: 0.3111 data_time: 0.0238 memory: 8198 grad_norm: 7.6178 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/04 04:47:43 - mmengine - INFO - Epoch(train) [251][900/1879] lr: 1.0000e-04 eta: 0:49:31 time: 0.2829 data_time: 0.0220 memory: 8198 grad_norm: 7.4040 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/04 04:47:48 - mmengine - INFO - Epoch(train) [251][920/1879] lr: 1.0000e-04 eta: 0:49:25 time: 0.2881 data_time: 0.0184 memory: 8198 grad_norm: 7.5664 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/04 04:47:54 - mmengine - INFO - Epoch(train) [251][940/1879] lr: 1.0000e-04 eta: 0:49:20 time: 0.2853 data_time: 0.0217 memory: 8198 grad_norm: 7.2932 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9444 loss: 0.9444 2022/08/04 04:48:00 - mmengine - INFO - Epoch(train) [251][960/1879] lr: 1.0000e-04 eta: 0:49:14 time: 0.2865 data_time: 0.0229 memory: 8198 grad_norm: 7.4270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8487 loss: 0.8487 2022/08/04 04:48:06 - mmengine - INFO - Epoch(train) [251][980/1879] lr: 1.0000e-04 eta: 0:49:08 time: 0.3195 data_time: 0.0269 memory: 8198 grad_norm: 7.4971 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7737 loss: 0.7737 2022/08/04 04:48:12 - mmengine - INFO - Epoch(train) [251][1000/1879] lr: 1.0000e-04 eta: 0:49:02 time: 0.2819 data_time: 0.0191 memory: 8198 grad_norm: 7.4094 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9124 loss: 0.9124 2022/08/04 04:48:18 - mmengine - INFO - Epoch(train) [251][1020/1879] lr: 1.0000e-04 eta: 0:48:57 time: 0.2859 data_time: 0.0213 memory: 8198 grad_norm: 7.4313 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0149 loss: 1.0149 2022/08/04 04:48:23 - mmengine - INFO - Epoch(train) [251][1040/1879] lr: 1.0000e-04 eta: 0:48:51 time: 0.2890 data_time: 0.0286 memory: 8198 grad_norm: 7.5084 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0320 loss: 1.0320 2022/08/04 04:48:30 - mmengine - INFO - Epoch(train) [251][1060/1879] lr: 1.0000e-04 eta: 0:48:45 time: 0.3206 data_time: 0.0223 memory: 8198 grad_norm: 7.2814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9146 loss: 0.9146 2022/08/04 04:48:36 - mmengine - INFO - Epoch(train) [251][1080/1879] lr: 1.0000e-04 eta: 0:48:40 time: 0.2840 data_time: 0.0182 memory: 8198 grad_norm: 7.4014 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8944 loss: 0.8944 2022/08/04 04:48:42 - mmengine - INFO - Epoch(train) [251][1100/1879] lr: 1.0000e-04 eta: 0:48:34 time: 0.2943 data_time: 0.0295 memory: 8198 grad_norm: 7.3844 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8593 loss: 0.8593 2022/08/04 04:48:48 - mmengine - INFO - Epoch(train) [251][1120/1879] lr: 1.0000e-04 eta: 0:48:28 time: 0.3043 data_time: 0.0230 memory: 8198 grad_norm: 7.5774 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8357 loss: 0.8357 2022/08/04 04:48:53 - mmengine - INFO - Epoch(train) [251][1140/1879] lr: 1.0000e-04 eta: 0:48:22 time: 0.2857 data_time: 0.0216 memory: 8198 grad_norm: 7.4990 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8353 loss: 0.8353 2022/08/04 04:48:59 - mmengine - INFO - Epoch(train) [251][1160/1879] lr: 1.0000e-04 eta: 0:48:17 time: 0.2882 data_time: 0.0206 memory: 8198 grad_norm: 7.4538 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8298 loss: 0.8298 2022/08/04 04:49:05 - mmengine - INFO - Epoch(train) [251][1180/1879] lr: 1.0000e-04 eta: 0:48:11 time: 0.2863 data_time: 0.0227 memory: 8198 grad_norm: 7.2547 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0336 loss: 1.0336 2022/08/04 04:49:11 - mmengine - INFO - Epoch(train) [251][1200/1879] lr: 1.0000e-04 eta: 0:48:05 time: 0.2954 data_time: 0.0236 memory: 8198 grad_norm: 7.3600 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9665 loss: 0.9665 2022/08/04 04:49:17 - mmengine - INFO - Epoch(train) [251][1220/1879] lr: 1.0000e-04 eta: 0:48:00 time: 0.2847 data_time: 0.0183 memory: 8198 grad_norm: 7.4380 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8860 loss: 0.8860 2022/08/04 04:49:22 - mmengine - INFO - Epoch(train) [251][1240/1879] lr: 1.0000e-04 eta: 0:47:54 time: 0.2868 data_time: 0.0240 memory: 8198 grad_norm: 7.3704 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8856 loss: 0.8856 2022/08/04 04:49:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:49:28 - mmengine - INFO - Epoch(train) [251][1260/1879] lr: 1.0000e-04 eta: 0:47:48 time: 0.2900 data_time: 0.0236 memory: 8198 grad_norm: 7.5115 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9598 loss: 0.9598 2022/08/04 04:49:34 - mmengine - INFO - Epoch(train) [251][1280/1879] lr: 1.0000e-04 eta: 0:47:42 time: 0.2842 data_time: 0.0183 memory: 8198 grad_norm: 7.2136 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8366 loss: 0.8366 2022/08/04 04:49:40 - mmengine - INFO - Epoch(train) [251][1300/1879] lr: 1.0000e-04 eta: 0:47:37 time: 0.3011 data_time: 0.0225 memory: 8198 grad_norm: 7.5798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/04 04:49:46 - mmengine - INFO - Epoch(train) [251][1320/1879] lr: 1.0000e-04 eta: 0:47:31 time: 0.3008 data_time: 0.0288 memory: 8198 grad_norm: 7.4720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8835 loss: 0.8835 2022/08/04 04:49:52 - mmengine - INFO - Epoch(train) [251][1340/1879] lr: 1.0000e-04 eta: 0:47:25 time: 0.2850 data_time: 0.0231 memory: 8198 grad_norm: 7.3204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0129 loss: 1.0129 2022/08/04 04:49:58 - mmengine - INFO - Epoch(train) [251][1360/1879] lr: 1.0000e-04 eta: 0:47:19 time: 0.2891 data_time: 0.0162 memory: 8198 grad_norm: 7.2740 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9821 loss: 0.9821 2022/08/04 04:50:03 - mmengine - INFO - Epoch(train) [251][1380/1879] lr: 1.0000e-04 eta: 0:47:14 time: 0.2882 data_time: 0.0263 memory: 8198 grad_norm: 7.7560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/08/04 04:50:09 - mmengine - INFO - Epoch(train) [251][1400/1879] lr: 1.0000e-04 eta: 0:47:08 time: 0.2925 data_time: 0.0249 memory: 8198 grad_norm: 7.4938 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2062 loss: 1.2062 2022/08/04 04:50:15 - mmengine - INFO - Epoch(train) [251][1420/1879] lr: 1.0000e-04 eta: 0:47:02 time: 0.2857 data_time: 0.0201 memory: 8198 grad_norm: 7.2383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8969 loss: 0.8969 2022/08/04 04:50:21 - mmengine - INFO - Epoch(train) [251][1440/1879] lr: 1.0000e-04 eta: 0:46:57 time: 0.3007 data_time: 0.0212 memory: 8198 grad_norm: 7.4851 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/08/04 04:50:27 - mmengine - INFO - Epoch(train) [251][1460/1879] lr: 1.0000e-04 eta: 0:46:51 time: 0.2890 data_time: 0.0215 memory: 8198 grad_norm: 7.5634 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/04 04:50:33 - mmengine - INFO - Epoch(train) [251][1480/1879] lr: 1.0000e-04 eta: 0:46:45 time: 0.2874 data_time: 0.0252 memory: 8198 grad_norm: 7.4893 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0409 loss: 1.0409 2022/08/04 04:50:39 - mmengine - INFO - Epoch(train) [251][1500/1879] lr: 1.0000e-04 eta: 0:46:39 time: 0.2996 data_time: 0.0248 memory: 8198 grad_norm: 7.3306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8332 loss: 0.8332 2022/08/04 04:50:44 - mmengine - INFO - Epoch(train) [251][1520/1879] lr: 1.0000e-04 eta: 0:46:34 time: 0.2873 data_time: 0.0249 memory: 8198 grad_norm: 7.3657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8318 loss: 0.8318 2022/08/04 04:50:50 - mmengine - INFO - Epoch(train) [251][1540/1879] lr: 1.0000e-04 eta: 0:46:28 time: 0.2870 data_time: 0.0223 memory: 8198 grad_norm: 7.4927 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8941 loss: 0.8941 2022/08/04 04:50:56 - mmengine - INFO - Epoch(train) [251][1560/1879] lr: 1.0000e-04 eta: 0:46:22 time: 0.3120 data_time: 0.0197 memory: 8198 grad_norm: 7.5471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8744 loss: 0.8744 2022/08/04 04:51:02 - mmengine - INFO - Epoch(train) [251][1580/1879] lr: 1.0000e-04 eta: 0:46:16 time: 0.2798 data_time: 0.0203 memory: 8198 grad_norm: 7.4719 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9324 loss: 0.9324 2022/08/04 04:51:08 - mmengine - INFO - Epoch(train) [251][1600/1879] lr: 1.0000e-04 eta: 0:46:11 time: 0.2865 data_time: 0.0217 memory: 8198 grad_norm: 7.4927 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/08/04 04:51:15 - mmengine - INFO - Epoch(train) [251][1620/1879] lr: 1.0000e-04 eta: 0:46:05 time: 0.3411 data_time: 0.0255 memory: 8198 grad_norm: 7.1866 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/04 04:51:20 - mmengine - INFO - Epoch(train) [251][1640/1879] lr: 1.0000e-04 eta: 0:45:59 time: 0.2797 data_time: 0.0189 memory: 8198 grad_norm: 7.5382 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0618 loss: 1.0618 2022/08/04 04:51:27 - mmengine - INFO - Epoch(train) [251][1660/1879] lr: 1.0000e-04 eta: 0:45:54 time: 0.3062 data_time: 0.0255 memory: 8198 grad_norm: 7.5233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9608 loss: 0.9608 2022/08/04 04:51:32 - mmengine - INFO - Epoch(train) [251][1680/1879] lr: 1.0000e-04 eta: 0:45:48 time: 0.2852 data_time: 0.0211 memory: 8198 grad_norm: 7.4871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9324 loss: 0.9324 2022/08/04 04:51:38 - mmengine - INFO - Epoch(train) [251][1700/1879] lr: 1.0000e-04 eta: 0:45:42 time: 0.2856 data_time: 0.0243 memory: 8198 grad_norm: 7.3575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0068 loss: 1.0068 2022/08/04 04:51:44 - mmengine - INFO - Epoch(train) [251][1720/1879] lr: 1.0000e-04 eta: 0:45:36 time: 0.2869 data_time: 0.0236 memory: 8198 grad_norm: 7.5362 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9984 loss: 0.9984 2022/08/04 04:51:50 - mmengine - INFO - Epoch(train) [251][1740/1879] lr: 1.0000e-04 eta: 0:45:31 time: 0.2957 data_time: 0.0227 memory: 8198 grad_norm: 7.4627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9960 loss: 0.9960 2022/08/04 04:51:55 - mmengine - INFO - Epoch(train) [251][1760/1879] lr: 1.0000e-04 eta: 0:45:25 time: 0.2837 data_time: 0.0215 memory: 8198 grad_norm: 7.2832 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8374 loss: 0.8374 2022/08/04 04:52:01 - mmengine - INFO - Epoch(train) [251][1780/1879] lr: 1.0000e-04 eta: 0:45:19 time: 0.2855 data_time: 0.0258 memory: 8198 grad_norm: 7.5499 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8253 loss: 0.8253 2022/08/04 04:52:07 - mmengine - INFO - Epoch(train) [251][1800/1879] lr: 1.0000e-04 eta: 0:45:13 time: 0.2880 data_time: 0.0234 memory: 8198 grad_norm: 7.5735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9599 loss: 0.9599 2022/08/04 04:52:13 - mmengine - INFO - Epoch(train) [251][1820/1879] lr: 1.0000e-04 eta: 0:45:08 time: 0.2869 data_time: 0.0216 memory: 8198 grad_norm: 7.4458 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8430 loss: 0.8430 2022/08/04 04:52:18 - mmengine - INFO - Epoch(train) [251][1840/1879] lr: 1.0000e-04 eta: 0:45:02 time: 0.2845 data_time: 0.0224 memory: 8198 grad_norm: 7.3271 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8695 loss: 0.8695 2022/08/04 04:52:24 - mmengine - INFO - Epoch(train) [251][1860/1879] lr: 1.0000e-04 eta: 0:44:56 time: 0.2853 data_time: 0.0229 memory: 8198 grad_norm: 7.4140 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8967 loss: 0.8967 2022/08/04 04:52:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:52:29 - mmengine - INFO - Epoch(train) [251][1879/1879] lr: 1.0000e-04 eta: 0:44:56 time: 0.2759 data_time: 0.0153 memory: 8198 grad_norm: 7.8095 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/08/04 04:52:38 - mmengine - INFO - Epoch(train) [252][20/1879] lr: 1.0000e-04 eta: 0:44:45 time: 0.4003 data_time: 0.1210 memory: 8198 grad_norm: 7.6407 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7895 loss: 0.7895 2022/08/04 04:52:43 - mmengine - INFO - Epoch(train) [252][40/1879] lr: 1.0000e-04 eta: 0:44:39 time: 0.2900 data_time: 0.0241 memory: 8198 grad_norm: 7.4782 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8714 loss: 0.8714 2022/08/04 04:52:49 - mmengine - INFO - Epoch(train) [252][60/1879] lr: 1.0000e-04 eta: 0:44:34 time: 0.2960 data_time: 0.0218 memory: 8198 grad_norm: 7.5444 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7690 loss: 0.7690 2022/08/04 04:52:55 - mmengine - INFO - Epoch(train) [252][80/1879] lr: 1.0000e-04 eta: 0:44:28 time: 0.2898 data_time: 0.0270 memory: 8198 grad_norm: 7.6491 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9051 loss: 0.9051 2022/08/04 04:53:01 - mmengine - INFO - Epoch(train) [252][100/1879] lr: 1.0000e-04 eta: 0:44:22 time: 0.2887 data_time: 0.0217 memory: 8198 grad_norm: 7.1374 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/08/04 04:53:07 - mmengine - INFO - Epoch(train) [252][120/1879] lr: 1.0000e-04 eta: 0:44:16 time: 0.2976 data_time: 0.0237 memory: 8198 grad_norm: 7.3640 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8909 loss: 0.8909 2022/08/04 04:53:13 - mmengine - INFO - Epoch(train) [252][140/1879] lr: 1.0000e-04 eta: 0:44:11 time: 0.2837 data_time: 0.0195 memory: 8198 grad_norm: 7.2868 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9137 loss: 0.9137 2022/08/04 04:53:18 - mmengine - INFO - Epoch(train) [252][160/1879] lr: 1.0000e-04 eta: 0:44:05 time: 0.2849 data_time: 0.0214 memory: 8198 grad_norm: 7.4178 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0865 loss: 1.0865 2022/08/04 04:53:24 - mmengine - INFO - Epoch(train) [252][180/1879] lr: 1.0000e-04 eta: 0:43:59 time: 0.2895 data_time: 0.0216 memory: 8198 grad_norm: 7.4035 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8393 loss: 0.8393 2022/08/04 04:53:30 - mmengine - INFO - Epoch(train) [252][200/1879] lr: 1.0000e-04 eta: 0:43:53 time: 0.3023 data_time: 0.0179 memory: 8198 grad_norm: 7.3292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8508 loss: 0.8508 2022/08/04 04:53:36 - mmengine - INFO - Epoch(train) [252][220/1879] lr: 1.0000e-04 eta: 0:43:48 time: 0.2880 data_time: 0.0288 memory: 8198 grad_norm: 7.3724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9078 loss: 0.9078 2022/08/04 04:53:42 - mmengine - INFO - Epoch(train) [252][240/1879] lr: 1.0000e-04 eta: 0:43:42 time: 0.2858 data_time: 0.0176 memory: 8198 grad_norm: 7.8384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/08/04 04:53:48 - mmengine - INFO - Epoch(train) [252][260/1879] lr: 1.0000e-04 eta: 0:43:36 time: 0.2953 data_time: 0.0283 memory: 8198 grad_norm: 7.5964 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9986 loss: 0.9986 2022/08/04 04:53:54 - mmengine - INFO - Epoch(train) [252][280/1879] lr: 1.0000e-04 eta: 0:43:31 time: 0.2895 data_time: 0.0198 memory: 8198 grad_norm: 7.4447 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8263 loss: 0.8263 2022/08/04 04:53:59 - mmengine - INFO - Epoch(train) [252][300/1879] lr: 1.0000e-04 eta: 0:43:25 time: 0.2860 data_time: 0.0188 memory: 8198 grad_norm: 7.4657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0367 loss: 1.0367 2022/08/04 04:54:05 - mmengine - INFO - Epoch(train) [252][320/1879] lr: 1.0000e-04 eta: 0:43:19 time: 0.2856 data_time: 0.0236 memory: 8198 grad_norm: 7.4506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0748 loss: 1.0748 2022/08/04 04:54:11 - mmengine - INFO - Epoch(train) [252][340/1879] lr: 1.0000e-04 eta: 0:43:13 time: 0.2910 data_time: 0.0220 memory: 8198 grad_norm: 7.2802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7859 loss: 0.7859 2022/08/04 04:54:17 - mmengine - INFO - Epoch(train) [252][360/1879] lr: 1.0000e-04 eta: 0:43:08 time: 0.2875 data_time: 0.0228 memory: 8198 grad_norm: 7.3140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0139 loss: 1.0139 2022/08/04 04:54:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:54:22 - mmengine - INFO - Epoch(train) [252][380/1879] lr: 1.0000e-04 eta: 0:43:02 time: 0.2851 data_time: 0.0198 memory: 8198 grad_norm: 7.5320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8483 loss: 0.8483 2022/08/04 04:54:28 - mmengine - INFO - Epoch(train) [252][400/1879] lr: 1.0000e-04 eta: 0:42:56 time: 0.2929 data_time: 0.0225 memory: 8198 grad_norm: 7.4484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9297 loss: 0.9297 2022/08/04 04:54:34 - mmengine - INFO - Epoch(train) [252][420/1879] lr: 1.0000e-04 eta: 0:42:50 time: 0.2877 data_time: 0.0226 memory: 8198 grad_norm: 7.5417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/04 04:54:40 - mmengine - INFO - Epoch(train) [252][440/1879] lr: 1.0000e-04 eta: 0:42:45 time: 0.2876 data_time: 0.0208 memory: 8198 grad_norm: 7.4639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/04 04:54:46 - mmengine - INFO - Epoch(train) [252][460/1879] lr: 1.0000e-04 eta: 0:42:39 time: 0.2884 data_time: 0.0256 memory: 8198 grad_norm: 7.6147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9030 loss: 0.9030 2022/08/04 04:54:52 - mmengine - INFO - Epoch(train) [252][480/1879] lr: 1.0000e-04 eta: 0:42:33 time: 0.3020 data_time: 0.0224 memory: 8198 grad_norm: 7.4236 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0000 loss: 1.0000 2022/08/04 04:54:58 - mmengine - INFO - Epoch(train) [252][500/1879] lr: 1.0000e-04 eta: 0:42:28 time: 0.2861 data_time: 0.0227 memory: 8198 grad_norm: 7.3341 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8356 loss: 0.8356 2022/08/04 04:55:03 - mmengine - INFO - Epoch(train) [252][520/1879] lr: 1.0000e-04 eta: 0:42:22 time: 0.2871 data_time: 0.0287 memory: 8198 grad_norm: 7.7056 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9797 loss: 0.9797 2022/08/04 04:55:10 - mmengine - INFO - Epoch(train) [252][540/1879] lr: 1.0000e-04 eta: 0:42:16 time: 0.3078 data_time: 0.0219 memory: 8198 grad_norm: 7.2870 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9703 loss: 0.9703 2022/08/04 04:55:15 - mmengine - INFO - Epoch(train) [252][560/1879] lr: 1.0000e-04 eta: 0:42:10 time: 0.2853 data_time: 0.0198 memory: 8198 grad_norm: 7.3148 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/08/04 04:55:21 - mmengine - INFO - Epoch(train) [252][580/1879] lr: 1.0000e-04 eta: 0:42:05 time: 0.2855 data_time: 0.0210 memory: 8198 grad_norm: 7.5809 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9740 loss: 0.9740 2022/08/04 04:55:27 - mmengine - INFO - Epoch(train) [252][600/1879] lr: 1.0000e-04 eta: 0:41:59 time: 0.2923 data_time: 0.0220 memory: 8198 grad_norm: 7.6754 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7973 loss: 0.7973 2022/08/04 04:55:33 - mmengine - INFO - Epoch(train) [252][620/1879] lr: 1.0000e-04 eta: 0:41:53 time: 0.2854 data_time: 0.0233 memory: 8198 grad_norm: 7.3511 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0439 loss: 1.0439 2022/08/04 04:55:38 - mmengine - INFO - Epoch(train) [252][640/1879] lr: 1.0000e-04 eta: 0:41:47 time: 0.2849 data_time: 0.0177 memory: 8198 grad_norm: 7.3116 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8927 loss: 0.8927 2022/08/04 04:55:44 - mmengine - INFO - Epoch(train) [252][660/1879] lr: 1.0000e-04 eta: 0:41:42 time: 0.2860 data_time: 0.0248 memory: 8198 grad_norm: 7.4045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/08/04 04:55:50 - mmengine - INFO - Epoch(train) [252][680/1879] lr: 1.0000e-04 eta: 0:41:36 time: 0.2988 data_time: 0.0162 memory: 8198 grad_norm: 7.7155 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0420 loss: 1.0420 2022/08/04 04:55:56 - mmengine - INFO - Epoch(train) [252][700/1879] lr: 1.0000e-04 eta: 0:41:30 time: 0.2850 data_time: 0.0250 memory: 8198 grad_norm: 7.7254 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8595 loss: 0.8595 2022/08/04 04:56:02 - mmengine - INFO - Epoch(train) [252][720/1879] lr: 1.0000e-04 eta: 0:41:25 time: 0.2891 data_time: 0.0194 memory: 8198 grad_norm: 7.4586 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9230 loss: 0.9230 2022/08/04 04:56:08 - mmengine - INFO - Epoch(train) [252][740/1879] lr: 1.0000e-04 eta: 0:41:19 time: 0.2952 data_time: 0.0363 memory: 8198 grad_norm: 7.3115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6310 loss: 0.6310 2022/08/04 04:56:13 - mmengine - INFO - Epoch(train) [252][760/1879] lr: 1.0000e-04 eta: 0:41:13 time: 0.2893 data_time: 0.0220 memory: 8198 grad_norm: 7.6845 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/08/04 04:56:19 - mmengine - INFO - Epoch(train) [252][780/1879] lr: 1.0000e-04 eta: 0:41:07 time: 0.3001 data_time: 0.0197 memory: 8198 grad_norm: 7.3152 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8101 loss: 0.8101 2022/08/04 04:56:25 - mmengine - INFO - Epoch(train) [252][800/1879] lr: 1.0000e-04 eta: 0:41:02 time: 0.2856 data_time: 0.0211 memory: 8198 grad_norm: 7.5935 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9481 loss: 0.9481 2022/08/04 04:56:31 - mmengine - INFO - Epoch(train) [252][820/1879] lr: 1.0000e-04 eta: 0:40:56 time: 0.2910 data_time: 0.0260 memory: 8198 grad_norm: 7.5339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9902 loss: 0.9902 2022/08/04 04:56:37 - mmengine - INFO - Epoch(train) [252][840/1879] lr: 1.0000e-04 eta: 0:40:50 time: 0.2881 data_time: 0.0217 memory: 8198 grad_norm: 7.5468 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8673 loss: 0.8673 2022/08/04 04:56:43 - mmengine - INFO - Epoch(train) [252][860/1879] lr: 1.0000e-04 eta: 0:40:44 time: 0.2906 data_time: 0.0254 memory: 8198 grad_norm: 7.6567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7930 loss: 0.7930 2022/08/04 04:56:48 - mmengine - INFO - Epoch(train) [252][880/1879] lr: 1.0000e-04 eta: 0:40:39 time: 0.2881 data_time: 0.0232 memory: 8198 grad_norm: 7.3105 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8349 loss: 0.8349 2022/08/04 04:56:54 - mmengine - INFO - Epoch(train) [252][900/1879] lr: 1.0000e-04 eta: 0:40:33 time: 0.2866 data_time: 0.0278 memory: 8198 grad_norm: 7.4682 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/08/04 04:57:00 - mmengine - INFO - Epoch(train) [252][920/1879] lr: 1.0000e-04 eta: 0:40:27 time: 0.2895 data_time: 0.0189 memory: 8198 grad_norm: 7.3338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/08/04 04:57:06 - mmengine - INFO - Epoch(train) [252][940/1879] lr: 1.0000e-04 eta: 0:40:22 time: 0.2883 data_time: 0.0208 memory: 8198 grad_norm: 7.4618 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9036 loss: 0.9036 2022/08/04 04:57:12 - mmengine - INFO - Epoch(train) [252][960/1879] lr: 1.0000e-04 eta: 0:40:16 time: 0.2902 data_time: 0.0211 memory: 8198 grad_norm: 7.4477 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0609 loss: 1.0609 2022/08/04 04:57:18 - mmengine - INFO - Epoch(train) [252][980/1879] lr: 1.0000e-04 eta: 0:40:10 time: 0.2907 data_time: 0.0243 memory: 8198 grad_norm: 7.5751 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8934 loss: 0.8934 2022/08/04 04:57:26 - mmengine - INFO - Epoch(train) [252][1000/1879] lr: 1.0000e-04 eta: 0:40:04 time: 0.4369 data_time: 0.0185 memory: 8198 grad_norm: 7.5106 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0035 loss: 1.0035 2022/08/04 04:57:32 - mmengine - INFO - Epoch(train) [252][1020/1879] lr: 1.0000e-04 eta: 0:39:59 time: 0.2871 data_time: 0.0222 memory: 8198 grad_norm: 7.5348 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8402 loss: 0.8402 2022/08/04 04:57:38 - mmengine - INFO - Epoch(train) [252][1040/1879] lr: 1.0000e-04 eta: 0:39:53 time: 0.3048 data_time: 0.0231 memory: 8198 grad_norm: 7.5727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0083 loss: 1.0083 2022/08/04 04:57:44 - mmengine - INFO - Epoch(train) [252][1060/1879] lr: 1.0000e-04 eta: 0:39:47 time: 0.2876 data_time: 0.0240 memory: 8198 grad_norm: 7.5391 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8924 loss: 0.8924 2022/08/04 04:57:50 - mmengine - INFO - Epoch(train) [252][1080/1879] lr: 1.0000e-04 eta: 0:39:41 time: 0.2937 data_time: 0.0259 memory: 8198 grad_norm: 7.4278 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7784 loss: 0.7784 2022/08/04 04:57:56 - mmengine - INFO - Epoch(train) [252][1100/1879] lr: 1.0000e-04 eta: 0:39:36 time: 0.2883 data_time: 0.0209 memory: 8198 grad_norm: 7.3933 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9399 loss: 0.9399 2022/08/04 04:58:02 - mmengine - INFO - Epoch(train) [252][1120/1879] lr: 1.0000e-04 eta: 0:39:30 time: 0.2956 data_time: 0.0211 memory: 8198 grad_norm: 7.3055 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/04 04:58:07 - mmengine - INFO - Epoch(train) [252][1140/1879] lr: 1.0000e-04 eta: 0:39:24 time: 0.2901 data_time: 0.0220 memory: 8198 grad_norm: 7.5645 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0207 loss: 1.0207 2022/08/04 04:58:13 - mmengine - INFO - Epoch(train) [252][1160/1879] lr: 1.0000e-04 eta: 0:39:19 time: 0.2876 data_time: 0.0243 memory: 8198 grad_norm: 7.1500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8732 loss: 0.8732 2022/08/04 04:58:19 - mmengine - INFO - Epoch(train) [252][1180/1879] lr: 1.0000e-04 eta: 0:39:13 time: 0.2882 data_time: 0.0227 memory: 8198 grad_norm: 7.5518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/08/04 04:58:25 - mmengine - INFO - Epoch(train) [252][1200/1879] lr: 1.0000e-04 eta: 0:39:07 time: 0.2853 data_time: 0.0205 memory: 8198 grad_norm: 7.5689 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0138 loss: 1.0138 2022/08/04 04:58:31 - mmengine - INFO - Epoch(train) [252][1220/1879] lr: 1.0000e-04 eta: 0:39:01 time: 0.2875 data_time: 0.0235 memory: 8198 grad_norm: 7.4957 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/04 04:58:36 - mmengine - INFO - Epoch(train) [252][1240/1879] lr: 1.0000e-04 eta: 0:38:56 time: 0.2914 data_time: 0.0238 memory: 8198 grad_norm: 7.3214 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8261 loss: 0.8261 2022/08/04 04:58:42 - mmengine - INFO - Epoch(train) [252][1260/1879] lr: 1.0000e-04 eta: 0:38:50 time: 0.2864 data_time: 0.0214 memory: 8198 grad_norm: 7.6564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9152 loss: 0.9152 2022/08/04 04:58:48 - mmengine - INFO - Epoch(train) [252][1280/1879] lr: 1.0000e-04 eta: 0:38:44 time: 0.2913 data_time: 0.0203 memory: 8198 grad_norm: 7.4624 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9514 loss: 0.9514 2022/08/04 04:58:54 - mmengine - INFO - Epoch(train) [252][1300/1879] lr: 1.0000e-04 eta: 0:38:38 time: 0.2834 data_time: 0.0228 memory: 8198 grad_norm: 7.3700 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/08/04 04:59:00 - mmengine - INFO - Epoch(train) [252][1320/1879] lr: 1.0000e-04 eta: 0:38:33 time: 0.3032 data_time: 0.0229 memory: 8198 grad_norm: 7.3490 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9191 loss: 0.9191 2022/08/04 04:59:06 - mmengine - INFO - Epoch(train) [252][1340/1879] lr: 1.0000e-04 eta: 0:38:27 time: 0.2846 data_time: 0.0237 memory: 8198 grad_norm: 7.2697 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8903 loss: 0.8903 2022/08/04 04:59:11 - mmengine - INFO - Epoch(train) [252][1360/1879] lr: 1.0000e-04 eta: 0:38:21 time: 0.2890 data_time: 0.0210 memory: 8198 grad_norm: 7.5400 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0411 loss: 1.0411 2022/08/04 04:59:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 04:59:17 - mmengine - INFO - Epoch(train) [252][1380/1879] lr: 1.0000e-04 eta: 0:38:16 time: 0.3013 data_time: 0.0263 memory: 8198 grad_norm: 7.2686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9211 loss: 0.9211 2022/08/04 04:59:23 - mmengine - INFO - Epoch(train) [252][1400/1879] lr: 1.0000e-04 eta: 0:38:10 time: 0.2843 data_time: 0.0197 memory: 8198 grad_norm: 7.4899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9541 loss: 0.9541 2022/08/04 04:59:29 - mmengine - INFO - Epoch(train) [252][1420/1879] lr: 1.0000e-04 eta: 0:38:04 time: 0.2961 data_time: 0.0210 memory: 8198 grad_norm: 7.5659 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0012 loss: 1.0012 2022/08/04 04:59:35 - mmengine - INFO - Epoch(train) [252][1440/1879] lr: 1.0000e-04 eta: 0:37:58 time: 0.2886 data_time: 0.0243 memory: 8198 grad_norm: 7.7465 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0354 loss: 1.0354 2022/08/04 04:59:41 - mmengine - INFO - Epoch(train) [252][1460/1879] lr: 1.0000e-04 eta: 0:37:53 time: 0.2880 data_time: 0.0227 memory: 8198 grad_norm: 7.4860 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8698 loss: 0.8698 2022/08/04 04:59:47 - mmengine - INFO - Epoch(train) [252][1480/1879] lr: 1.0000e-04 eta: 0:37:47 time: 0.2917 data_time: 0.0206 memory: 8198 grad_norm: 7.4818 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/08/04 04:59:52 - mmengine - INFO - Epoch(train) [252][1500/1879] lr: 1.0000e-04 eta: 0:37:41 time: 0.2965 data_time: 0.0207 memory: 8198 grad_norm: 7.6972 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0871 loss: 1.0871 2022/08/04 04:59:58 - mmengine - INFO - Epoch(train) [252][1520/1879] lr: 1.0000e-04 eta: 0:37:35 time: 0.2857 data_time: 0.0220 memory: 8198 grad_norm: 7.3894 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/08/04 05:00:04 - mmengine - INFO - Epoch(train) [252][1540/1879] lr: 1.0000e-04 eta: 0:37:30 time: 0.2908 data_time: 0.0236 memory: 8198 grad_norm: 7.4364 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0297 loss: 1.0297 2022/08/04 05:00:10 - mmengine - INFO - Epoch(train) [252][1560/1879] lr: 1.0000e-04 eta: 0:37:24 time: 0.3191 data_time: 0.0189 memory: 8198 grad_norm: 7.4673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7723 loss: 0.7723 2022/08/04 05:00:16 - mmengine - INFO - Epoch(train) [252][1580/1879] lr: 1.0000e-04 eta: 0:37:18 time: 0.2848 data_time: 0.0211 memory: 8198 grad_norm: 7.3582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/08/04 05:00:22 - mmengine - INFO - Epoch(train) [252][1600/1879] lr: 1.0000e-04 eta: 0:37:13 time: 0.2850 data_time: 0.0190 memory: 8198 grad_norm: 7.4329 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9868 loss: 0.9868 2022/08/04 05:00:28 - mmengine - INFO - Epoch(train) [252][1620/1879] lr: 1.0000e-04 eta: 0:37:07 time: 0.3119 data_time: 0.0253 memory: 8198 grad_norm: 7.6434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9245 loss: 0.9245 2022/08/04 05:00:34 - mmengine - INFO - Epoch(train) [252][1640/1879] lr: 1.0000e-04 eta: 0:37:01 time: 0.2860 data_time: 0.0270 memory: 8198 grad_norm: 7.6118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8844 loss: 0.8844 2022/08/04 05:00:40 - mmengine - INFO - Epoch(train) [252][1660/1879] lr: 1.0000e-04 eta: 0:36:55 time: 0.2872 data_time: 0.0228 memory: 8198 grad_norm: 7.7344 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0046 loss: 1.0046 2022/08/04 05:00:45 - mmengine - INFO - Epoch(train) [252][1680/1879] lr: 1.0000e-04 eta: 0:36:50 time: 0.2836 data_time: 0.0196 memory: 8198 grad_norm: 7.2819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9322 loss: 0.9322 2022/08/04 05:00:52 - mmengine - INFO - Epoch(train) [252][1700/1879] lr: 1.0000e-04 eta: 0:36:44 time: 0.3045 data_time: 0.0220 memory: 8198 grad_norm: 7.3356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0162 loss: 1.0162 2022/08/04 05:00:57 - mmengine - INFO - Epoch(train) [252][1720/1879] lr: 1.0000e-04 eta: 0:36:38 time: 0.2841 data_time: 0.0211 memory: 8198 grad_norm: 7.3476 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8974 loss: 0.8974 2022/08/04 05:01:03 - mmengine - INFO - Epoch(train) [252][1740/1879] lr: 1.0000e-04 eta: 0:36:32 time: 0.2876 data_time: 0.0200 memory: 8198 grad_norm: 7.6001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9450 loss: 0.9450 2022/08/04 05:01:09 - mmengine - INFO - Epoch(train) [252][1760/1879] lr: 1.0000e-04 eta: 0:36:27 time: 0.2902 data_time: 0.0201 memory: 8198 grad_norm: 7.4620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/04 05:01:15 - mmengine - INFO - Epoch(train) [252][1780/1879] lr: 1.0000e-04 eta: 0:36:21 time: 0.2857 data_time: 0.0222 memory: 8198 grad_norm: 7.3217 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0474 loss: 1.0474 2022/08/04 05:01:21 - mmengine - INFO - Epoch(train) [252][1800/1879] lr: 1.0000e-04 eta: 0:36:15 time: 0.2994 data_time: 0.0211 memory: 8198 grad_norm: 7.5616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9693 loss: 0.9693 2022/08/04 05:01:26 - mmengine - INFO - Epoch(train) [252][1820/1879] lr: 1.0000e-04 eta: 0:36:10 time: 0.2865 data_time: 0.0214 memory: 8198 grad_norm: 7.3750 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8897 loss: 0.8897 2022/08/04 05:01:32 - mmengine - INFO - Epoch(train) [252][1840/1879] lr: 1.0000e-04 eta: 0:36:04 time: 0.2875 data_time: 0.0185 memory: 8198 grad_norm: 7.4418 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8702 loss: 0.8702 2022/08/04 05:01:38 - mmengine - INFO - Epoch(train) [252][1860/1879] lr: 1.0000e-04 eta: 0:35:58 time: 0.3052 data_time: 0.0286 memory: 8198 grad_norm: 7.4973 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/04 05:01:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:01:43 - mmengine - INFO - Epoch(train) [252][1879/1879] lr: 1.0000e-04 eta: 0:35:58 time: 0.2573 data_time: 0.0149 memory: 8198 grad_norm: 7.6901 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9523 loss: 0.9523 2022/08/04 05:01:43 - mmengine - INFO - Saving checkpoint at 252 epochs 2022/08/04 05:01:53 - mmengine - INFO - Epoch(train) [253][20/1879] lr: 1.0000e-04 eta: 0:35:47 time: 0.3577 data_time: 0.0981 memory: 8198 grad_norm: 7.4684 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8772 loss: 0.8772 2022/08/04 05:01:59 - mmengine - INFO - Epoch(train) [253][40/1879] lr: 1.0000e-04 eta: 0:35:41 time: 0.2995 data_time: 0.0318 memory: 8198 grad_norm: 7.1851 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0251 loss: 1.0251 2022/08/04 05:02:05 - mmengine - INFO - Epoch(train) [253][60/1879] lr: 1.0000e-04 eta: 0:35:35 time: 0.2982 data_time: 0.0254 memory: 8198 grad_norm: 7.4854 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9841 loss: 0.9841 2022/08/04 05:02:11 - mmengine - INFO - Epoch(train) [253][80/1879] lr: 1.0000e-04 eta: 0:35:30 time: 0.2877 data_time: 0.0202 memory: 8198 grad_norm: 7.5970 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/04 05:02:17 - mmengine - INFO - Epoch(train) [253][100/1879] lr: 1.0000e-04 eta: 0:35:24 time: 0.2947 data_time: 0.0309 memory: 8198 grad_norm: 7.3387 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0716 loss: 1.0716 2022/08/04 05:02:23 - mmengine - INFO - Epoch(train) [253][120/1879] lr: 1.0000e-04 eta: 0:35:18 time: 0.2884 data_time: 0.0166 memory: 8198 grad_norm: 7.4714 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0632 loss: 1.0632 2022/08/04 05:02:28 - mmengine - INFO - Epoch(train) [253][140/1879] lr: 1.0000e-04 eta: 0:35:13 time: 0.2873 data_time: 0.0224 memory: 8198 grad_norm: 7.2933 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9787 loss: 0.9787 2022/08/04 05:02:34 - mmengine - INFO - Epoch(train) [253][160/1879] lr: 1.0000e-04 eta: 0:35:07 time: 0.2844 data_time: 0.0213 memory: 8198 grad_norm: 7.6118 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0178 loss: 1.0178 2022/08/04 05:02:40 - mmengine - INFO - Epoch(train) [253][180/1879] lr: 1.0000e-04 eta: 0:35:01 time: 0.3006 data_time: 0.0184 memory: 8198 grad_norm: 7.6123 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0707 loss: 1.0707 2022/08/04 05:02:46 - mmengine - INFO - Epoch(train) [253][200/1879] lr: 1.0000e-04 eta: 0:34:55 time: 0.2862 data_time: 0.0214 memory: 8198 grad_norm: 7.6035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9816 loss: 0.9816 2022/08/04 05:02:52 - mmengine - INFO - Epoch(train) [253][220/1879] lr: 1.0000e-04 eta: 0:34:50 time: 0.2889 data_time: 0.0247 memory: 8198 grad_norm: 7.5428 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8995 loss: 0.8995 2022/08/04 05:02:57 - mmengine - INFO - Epoch(train) [253][240/1879] lr: 1.0000e-04 eta: 0:34:44 time: 0.2880 data_time: 0.0199 memory: 8198 grad_norm: 7.2101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9009 loss: 0.9009 2022/08/04 05:03:03 - mmengine - INFO - Epoch(train) [253][260/1879] lr: 1.0000e-04 eta: 0:34:38 time: 0.2896 data_time: 0.0195 memory: 8198 grad_norm: 7.5083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9274 loss: 0.9274 2022/08/04 05:03:09 - mmengine - INFO - Epoch(train) [253][280/1879] lr: 1.0000e-04 eta: 0:34:32 time: 0.2910 data_time: 0.0214 memory: 8198 grad_norm: 7.5871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9160 loss: 0.9160 2022/08/04 05:03:15 - mmengine - INFO - Epoch(train) [253][300/1879] lr: 1.0000e-04 eta: 0:34:27 time: 0.2853 data_time: 0.0230 memory: 8198 grad_norm: 7.4528 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0012 loss: 1.0012 2022/08/04 05:03:21 - mmengine - INFO - Epoch(train) [253][320/1879] lr: 1.0000e-04 eta: 0:34:21 time: 0.2895 data_time: 0.0190 memory: 8198 grad_norm: 7.5373 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0727 loss: 1.0727 2022/08/04 05:03:26 - mmengine - INFO - Epoch(train) [253][340/1879] lr: 1.0000e-04 eta: 0:34:15 time: 0.2873 data_time: 0.0239 memory: 8198 grad_norm: 7.4131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/08/04 05:03:32 - mmengine - INFO - Epoch(train) [253][360/1879] lr: 1.0000e-04 eta: 0:34:09 time: 0.2830 data_time: 0.0190 memory: 8198 grad_norm: 7.1865 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8395 loss: 0.8395 2022/08/04 05:03:38 - mmengine - INFO - Epoch(train) [253][380/1879] lr: 1.0000e-04 eta: 0:34:04 time: 0.2980 data_time: 0.0205 memory: 8198 grad_norm: 7.4673 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8642 loss: 0.8642 2022/08/04 05:03:44 - mmengine - INFO - Epoch(train) [253][400/1879] lr: 1.0000e-04 eta: 0:33:58 time: 0.2845 data_time: 0.0235 memory: 8198 grad_norm: 7.3635 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8019 loss: 0.8019 2022/08/04 05:03:50 - mmengine - INFO - Epoch(train) [253][420/1879] lr: 1.0000e-04 eta: 0:33:52 time: 0.3045 data_time: 0.0194 memory: 8198 grad_norm: 7.4400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9851 loss: 0.9851 2022/08/04 05:03:56 - mmengine - INFO - Epoch(train) [253][440/1879] lr: 1.0000e-04 eta: 0:33:47 time: 0.2858 data_time: 0.0224 memory: 8198 grad_norm: 7.4919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9468 loss: 0.9468 2022/08/04 05:04:02 - mmengine - INFO - Epoch(train) [253][460/1879] lr: 1.0000e-04 eta: 0:33:41 time: 0.2948 data_time: 0.0242 memory: 8198 grad_norm: 7.4775 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9101 loss: 0.9101 2022/08/04 05:04:08 - mmengine - INFO - Epoch(train) [253][480/1879] lr: 1.0000e-04 eta: 0:33:35 time: 0.3044 data_time: 0.0200 memory: 8198 grad_norm: 7.4351 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6987 loss: 0.6987 2022/08/04 05:04:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:04:13 - mmengine - INFO - Epoch(train) [253][500/1879] lr: 1.0000e-04 eta: 0:33:29 time: 0.2832 data_time: 0.0229 memory: 8198 grad_norm: 7.6052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9817 loss: 0.9817 2022/08/04 05:04:19 - mmengine - INFO - Epoch(train) [253][520/1879] lr: 1.0000e-04 eta: 0:33:24 time: 0.2905 data_time: 0.0213 memory: 8198 grad_norm: 7.3974 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9326 loss: 0.9326 2022/08/04 05:04:25 - mmengine - INFO - Epoch(train) [253][540/1879] lr: 1.0000e-04 eta: 0:33:18 time: 0.2905 data_time: 0.0247 memory: 8198 grad_norm: 7.5251 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9825 loss: 0.9825 2022/08/04 05:04:31 - mmengine - INFO - Epoch(train) [253][560/1879] lr: 1.0000e-04 eta: 0:33:12 time: 0.2857 data_time: 0.0153 memory: 8198 grad_norm: 7.4633 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/08/04 05:04:37 - mmengine - INFO - Epoch(train) [253][580/1879] lr: 1.0000e-04 eta: 0:33:06 time: 0.2876 data_time: 0.0252 memory: 8198 grad_norm: 7.5129 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9776 loss: 0.9776 2022/08/04 05:04:43 - mmengine - INFO - Epoch(train) [253][600/1879] lr: 1.0000e-04 eta: 0:33:01 time: 0.2916 data_time: 0.0190 memory: 8198 grad_norm: 7.4445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0041 loss: 1.0041 2022/08/04 05:04:49 - mmengine - INFO - Epoch(train) [253][620/1879] lr: 1.0000e-04 eta: 0:32:55 time: 0.3052 data_time: 0.0198 memory: 8198 grad_norm: 7.4250 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/08/04 05:04:54 - mmengine - INFO - Epoch(train) [253][640/1879] lr: 1.0000e-04 eta: 0:32:49 time: 0.2844 data_time: 0.0227 memory: 8198 grad_norm: 7.3691 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9045 loss: 0.9045 2022/08/04 05:05:00 - mmengine - INFO - Epoch(train) [253][660/1879] lr: 1.0000e-04 eta: 0:32:44 time: 0.2926 data_time: 0.0215 memory: 8198 grad_norm: 7.5762 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8606 loss: 0.8606 2022/08/04 05:05:06 - mmengine - INFO - Epoch(train) [253][680/1879] lr: 1.0000e-04 eta: 0:32:38 time: 0.2872 data_time: 0.0262 memory: 8198 grad_norm: 7.6043 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/08/04 05:05:12 - mmengine - INFO - Epoch(train) [253][700/1879] lr: 1.0000e-04 eta: 0:32:32 time: 0.2846 data_time: 0.0197 memory: 8198 grad_norm: 7.2524 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/04 05:05:18 - mmengine - INFO - Epoch(train) [253][720/1879] lr: 1.0000e-04 eta: 0:32:26 time: 0.2881 data_time: 0.0213 memory: 8198 grad_norm: 7.4471 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1159 loss: 1.1159 2022/08/04 05:05:23 - mmengine - INFO - Epoch(train) [253][740/1879] lr: 1.0000e-04 eta: 0:32:21 time: 0.2879 data_time: 0.0241 memory: 8198 grad_norm: 7.3358 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8467 loss: 0.8467 2022/08/04 05:05:29 - mmengine - INFO - Epoch(train) [253][760/1879] lr: 1.0000e-04 eta: 0:32:15 time: 0.2955 data_time: 0.0237 memory: 8198 grad_norm: 7.5814 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9834 loss: 0.9834 2022/08/04 05:05:35 - mmengine - INFO - Epoch(train) [253][780/1879] lr: 1.0000e-04 eta: 0:32:09 time: 0.2883 data_time: 0.0251 memory: 8198 grad_norm: 7.3683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9109 loss: 0.9109 2022/08/04 05:05:41 - mmengine - INFO - Epoch(train) [253][800/1879] lr: 1.0000e-04 eta: 0:32:03 time: 0.2868 data_time: 0.0204 memory: 8198 grad_norm: 7.3018 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8934 loss: 0.8934 2022/08/04 05:05:47 - mmengine - INFO - Epoch(train) [253][820/1879] lr: 1.0000e-04 eta: 0:31:58 time: 0.2846 data_time: 0.0187 memory: 8198 grad_norm: 7.7902 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9207 loss: 0.9207 2022/08/04 05:05:52 - mmengine - INFO - Epoch(train) [253][840/1879] lr: 1.0000e-04 eta: 0:31:52 time: 0.2921 data_time: 0.0196 memory: 8198 grad_norm: 7.3200 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9467 loss: 0.9467 2022/08/04 05:05:58 - mmengine - INFO - Epoch(train) [253][860/1879] lr: 1.0000e-04 eta: 0:31:46 time: 0.2887 data_time: 0.0235 memory: 8198 grad_norm: 7.3236 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9579 loss: 0.9579 2022/08/04 05:06:04 - mmengine - INFO - Epoch(train) [253][880/1879] lr: 1.0000e-04 eta: 0:31:41 time: 0.2881 data_time: 0.0232 memory: 8198 grad_norm: 7.2952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8941 loss: 0.8941 2022/08/04 05:06:11 - mmengine - INFO - Epoch(train) [253][900/1879] lr: 1.0000e-04 eta: 0:31:35 time: 0.3207 data_time: 0.0215 memory: 8198 grad_norm: 7.4574 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7981 loss: 0.7981 2022/08/04 05:06:16 - mmengine - INFO - Epoch(train) [253][920/1879] lr: 1.0000e-04 eta: 0:31:29 time: 0.2856 data_time: 0.0226 memory: 8198 grad_norm: 7.5755 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0658 loss: 1.0658 2022/08/04 05:06:22 - mmengine - INFO - Epoch(train) [253][940/1879] lr: 1.0000e-04 eta: 0:31:23 time: 0.2946 data_time: 0.0316 memory: 8198 grad_norm: 7.3953 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7712 loss: 0.7712 2022/08/04 05:06:29 - mmengine - INFO - Epoch(train) [253][960/1879] lr: 1.0000e-04 eta: 0:31:18 time: 0.3200 data_time: 0.0222 memory: 8198 grad_norm: 7.4293 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8821 loss: 0.8821 2022/08/04 05:06:34 - mmengine - INFO - Epoch(train) [253][980/1879] lr: 1.0000e-04 eta: 0:31:12 time: 0.2832 data_time: 0.0225 memory: 8198 grad_norm: 7.3139 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9990 loss: 0.9990 2022/08/04 05:06:40 - mmengine - INFO - Epoch(train) [253][1000/1879] lr: 1.0000e-04 eta: 0:31:06 time: 0.2933 data_time: 0.0304 memory: 8198 grad_norm: 7.4879 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0495 loss: 1.0495 2022/08/04 05:06:46 - mmengine - INFO - Epoch(train) [253][1020/1879] lr: 1.0000e-04 eta: 0:31:00 time: 0.2868 data_time: 0.0201 memory: 8198 grad_norm: 7.5894 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/08/04 05:06:52 - mmengine - INFO - Epoch(train) [253][1040/1879] lr: 1.0000e-04 eta: 0:30:55 time: 0.2960 data_time: 0.0234 memory: 8198 grad_norm: 7.5635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9710 loss: 0.9710 2022/08/04 05:06:58 - mmengine - INFO - Epoch(train) [253][1060/1879] lr: 1.0000e-04 eta: 0:30:49 time: 0.2920 data_time: 0.0256 memory: 8198 grad_norm: 7.4900 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0477 loss: 1.0477 2022/08/04 05:07:04 - mmengine - INFO - Epoch(train) [253][1080/1879] lr: 1.0000e-04 eta: 0:30:43 time: 0.2870 data_time: 0.0230 memory: 8198 grad_norm: 7.7661 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8112 loss: 0.8112 2022/08/04 05:07:10 - mmengine - INFO - Epoch(train) [253][1100/1879] lr: 1.0000e-04 eta: 0:30:38 time: 0.3076 data_time: 0.0209 memory: 8198 grad_norm: 7.3509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0341 loss: 1.0341 2022/08/04 05:07:15 - mmengine - INFO - Epoch(train) [253][1120/1879] lr: 1.0000e-04 eta: 0:30:32 time: 0.2847 data_time: 0.0187 memory: 8198 grad_norm: 7.4935 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8614 loss: 0.8614 2022/08/04 05:07:21 - mmengine - INFO - Epoch(train) [253][1140/1879] lr: 1.0000e-04 eta: 0:30:26 time: 0.2927 data_time: 0.0274 memory: 8198 grad_norm: 7.4283 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9130 loss: 0.9130 2022/08/04 05:07:27 - mmengine - INFO - Epoch(train) [253][1160/1879] lr: 1.0000e-04 eta: 0:30:20 time: 0.2937 data_time: 0.0201 memory: 8198 grad_norm: 7.4641 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9850 loss: 0.9850 2022/08/04 05:07:33 - mmengine - INFO - Epoch(train) [253][1180/1879] lr: 1.0000e-04 eta: 0:30:15 time: 0.3044 data_time: 0.0230 memory: 8198 grad_norm: 7.4533 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/04 05:07:39 - mmengine - INFO - Epoch(train) [253][1200/1879] lr: 1.0000e-04 eta: 0:30:09 time: 0.2936 data_time: 0.0201 memory: 8198 grad_norm: 7.4824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0186 loss: 1.0186 2022/08/04 05:07:45 - mmengine - INFO - Epoch(train) [253][1220/1879] lr: 1.0000e-04 eta: 0:30:03 time: 0.2854 data_time: 0.0173 memory: 8198 grad_norm: 7.6127 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0130 loss: 1.0130 2022/08/04 05:07:51 - mmengine - INFO - Epoch(train) [253][1240/1879] lr: 1.0000e-04 eta: 0:29:57 time: 0.2975 data_time: 0.0191 memory: 8198 grad_norm: 7.1370 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/04 05:07:57 - mmengine - INFO - Epoch(train) [253][1260/1879] lr: 1.0000e-04 eta: 0:29:52 time: 0.2854 data_time: 0.0207 memory: 8198 grad_norm: 7.3717 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7957 loss: 0.7957 2022/08/04 05:08:03 - mmengine - INFO - Epoch(train) [253][1280/1879] lr: 1.0000e-04 eta: 0:29:46 time: 0.2871 data_time: 0.0187 memory: 8198 grad_norm: 7.4259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9014 loss: 0.9014 2022/08/04 05:08:09 - mmengine - INFO - Epoch(train) [253][1300/1879] lr: 1.0000e-04 eta: 0:29:40 time: 0.3099 data_time: 0.0239 memory: 8198 grad_norm: 7.4715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7348 loss: 0.7348 2022/08/04 05:08:14 - mmengine - INFO - Epoch(train) [253][1320/1879] lr: 1.0000e-04 eta: 0:29:35 time: 0.2822 data_time: 0.0175 memory: 8198 grad_norm: 7.7548 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/04 05:08:20 - mmengine - INFO - Epoch(train) [253][1340/1879] lr: 1.0000e-04 eta: 0:29:29 time: 0.2846 data_time: 0.0268 memory: 8198 grad_norm: 7.5185 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0421 loss: 1.0421 2022/08/04 05:08:26 - mmengine - INFO - Epoch(train) [253][1360/1879] lr: 1.0000e-04 eta: 0:29:23 time: 0.2864 data_time: 0.0208 memory: 8198 grad_norm: 7.3804 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/08/04 05:08:32 - mmengine - INFO - Epoch(train) [253][1380/1879] lr: 1.0000e-04 eta: 0:29:17 time: 0.2957 data_time: 0.0249 memory: 8198 grad_norm: 7.7281 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0591 loss: 1.0591 2022/08/04 05:08:38 - mmengine - INFO - Epoch(train) [253][1400/1879] lr: 1.0000e-04 eta: 0:29:12 time: 0.2848 data_time: 0.0215 memory: 8198 grad_norm: 7.1569 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9450 loss: 0.9450 2022/08/04 05:08:46 - mmengine - INFO - Epoch(train) [253][1420/1879] lr: 1.0000e-04 eta: 0:29:06 time: 0.4150 data_time: 0.1496 memory: 8198 grad_norm: 7.4931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/08/04 05:08:52 - mmengine - INFO - Epoch(train) [253][1440/1879] lr: 1.0000e-04 eta: 0:29:00 time: 0.3165 data_time: 0.0185 memory: 8198 grad_norm: 7.3987 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8787 loss: 0.8787 2022/08/04 05:08:58 - mmengine - INFO - Epoch(train) [253][1460/1879] lr: 1.0000e-04 eta: 0:28:54 time: 0.2904 data_time: 0.0294 memory: 8198 grad_norm: 7.6341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8161 loss: 0.8161 2022/08/04 05:09:04 - mmengine - INFO - Epoch(train) [253][1480/1879] lr: 1.0000e-04 eta: 0:28:49 time: 0.2846 data_time: 0.0203 memory: 8198 grad_norm: 7.5653 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9181 loss: 0.9181 2022/08/04 05:09:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:09:10 - mmengine - INFO - Epoch(train) [253][1500/1879] lr: 1.0000e-04 eta: 0:28:43 time: 0.3094 data_time: 0.0171 memory: 8198 grad_norm: 7.6137 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/08/04 05:09:16 - mmengine - INFO - Epoch(train) [253][1520/1879] lr: 1.0000e-04 eta: 0:28:37 time: 0.2864 data_time: 0.0205 memory: 8198 grad_norm: 7.9480 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1587 loss: 1.1587 2022/08/04 05:09:22 - mmengine - INFO - Epoch(train) [253][1540/1879] lr: 1.0000e-04 eta: 0:28:32 time: 0.2861 data_time: 0.0244 memory: 8198 grad_norm: 7.8936 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/08/04 05:09:27 - mmengine - INFO - Epoch(train) [253][1560/1879] lr: 1.0000e-04 eta: 0:28:26 time: 0.2931 data_time: 0.0232 memory: 8198 grad_norm: 7.5637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9779 loss: 0.9779 2022/08/04 05:09:33 - mmengine - INFO - Epoch(train) [253][1580/1879] lr: 1.0000e-04 eta: 0:28:20 time: 0.2882 data_time: 0.0252 memory: 8198 grad_norm: 7.3996 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9970 loss: 0.9970 2022/08/04 05:09:39 - mmengine - INFO - Epoch(train) [253][1600/1879] lr: 1.0000e-04 eta: 0:28:14 time: 0.2861 data_time: 0.0205 memory: 8198 grad_norm: 7.4138 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9469 loss: 0.9469 2022/08/04 05:09:45 - mmengine - INFO - Epoch(train) [253][1620/1879] lr: 1.0000e-04 eta: 0:28:09 time: 0.2866 data_time: 0.0250 memory: 8198 grad_norm: 7.3351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8075 loss: 0.8075 2022/08/04 05:09:51 - mmengine - INFO - Epoch(train) [253][1640/1879] lr: 1.0000e-04 eta: 0:28:03 time: 0.2964 data_time: 0.0189 memory: 8198 grad_norm: 7.6827 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9032 loss: 0.9032 2022/08/04 05:09:57 - mmengine - INFO - Epoch(train) [253][1660/1879] lr: 1.0000e-04 eta: 0:27:57 time: 0.2889 data_time: 0.0248 memory: 8198 grad_norm: 7.6012 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8344 loss: 0.8344 2022/08/04 05:10:02 - mmengine - INFO - Epoch(train) [253][1680/1879] lr: 1.0000e-04 eta: 0:27:51 time: 0.2946 data_time: 0.0231 memory: 8198 grad_norm: 7.6381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8736 loss: 0.8736 2022/08/04 05:10:09 - mmengine - INFO - Epoch(train) [253][1700/1879] lr: 1.0000e-04 eta: 0:27:46 time: 0.3001 data_time: 0.0221 memory: 8198 grad_norm: 7.2791 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0089 loss: 1.0089 2022/08/04 05:10:14 - mmengine - INFO - Epoch(train) [253][1720/1879] lr: 1.0000e-04 eta: 0:27:40 time: 0.2967 data_time: 0.0213 memory: 8198 grad_norm: 7.5539 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9409 loss: 0.9409 2022/08/04 05:10:20 - mmengine - INFO - Epoch(train) [253][1740/1879] lr: 1.0000e-04 eta: 0:27:34 time: 0.2863 data_time: 0.0240 memory: 8198 grad_norm: 7.4830 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8647 loss: 0.8647 2022/08/04 05:10:26 - mmengine - INFO - Epoch(train) [253][1760/1879] lr: 1.0000e-04 eta: 0:27:29 time: 0.2888 data_time: 0.0232 memory: 8198 grad_norm: 7.5574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0457 loss: 1.0457 2022/08/04 05:10:32 - mmengine - INFO - Epoch(train) [253][1780/1879] lr: 1.0000e-04 eta: 0:27:23 time: 0.2949 data_time: 0.0264 memory: 8198 grad_norm: 7.3898 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8432 loss: 0.8432 2022/08/04 05:10:38 - mmengine - INFO - Epoch(train) [253][1800/1879] lr: 1.0000e-04 eta: 0:27:17 time: 0.2856 data_time: 0.0218 memory: 8198 grad_norm: 7.5339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7457 loss: 0.7457 2022/08/04 05:10:44 - mmengine - INFO - Epoch(train) [253][1820/1879] lr: 1.0000e-04 eta: 0:27:11 time: 0.2889 data_time: 0.0248 memory: 8198 grad_norm: 7.4113 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9664 loss: 0.9664 2022/08/04 05:10:50 - mmengine - INFO - Epoch(train) [253][1840/1879] lr: 1.0000e-04 eta: 0:27:06 time: 0.3002 data_time: 0.0187 memory: 8198 grad_norm: 7.5831 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9241 loss: 0.9241 2022/08/04 05:10:55 - mmengine - INFO - Epoch(train) [253][1860/1879] lr: 1.0000e-04 eta: 0:27:00 time: 0.2940 data_time: 0.0221 memory: 8198 grad_norm: 7.7326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9647 loss: 0.9647 2022/08/04 05:11:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:11:01 - mmengine - INFO - Epoch(train) [253][1879/1879] lr: 1.0000e-04 eta: 0:27:00 time: 0.2853 data_time: 0.0151 memory: 8198 grad_norm: 7.8055 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9012 loss: 0.9012 2022/08/04 05:11:09 - mmengine - INFO - Epoch(train) [254][20/1879] lr: 1.0000e-04 eta: 0:26:49 time: 0.4056 data_time: 0.1154 memory: 8198 grad_norm: 7.6044 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0323 loss: 1.0323 2022/08/04 05:11:15 - mmengine - INFO - Epoch(train) [254][40/1879] lr: 1.0000e-04 eta: 0:26:43 time: 0.3032 data_time: 0.0289 memory: 8198 grad_norm: 7.6504 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8382 loss: 0.8382 2022/08/04 05:11:21 - mmengine - INFO - Epoch(train) [254][60/1879] lr: 1.0000e-04 eta: 0:26:37 time: 0.2919 data_time: 0.0223 memory: 8198 grad_norm: 7.5367 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8762 loss: 0.8762 2022/08/04 05:11:27 - mmengine - INFO - Epoch(train) [254][80/1879] lr: 1.0000e-04 eta: 0:26:32 time: 0.2866 data_time: 0.0195 memory: 8198 grad_norm: 7.3916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/04 05:11:33 - mmengine - INFO - Epoch(train) [254][100/1879] lr: 1.0000e-04 eta: 0:26:26 time: 0.3066 data_time: 0.0254 memory: 8198 grad_norm: 7.5857 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8964 loss: 0.8964 2022/08/04 05:11:39 - mmengine - INFO - Epoch(train) [254][120/1879] lr: 1.0000e-04 eta: 0:26:20 time: 0.2878 data_time: 0.0252 memory: 8198 grad_norm: 7.4967 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9902 loss: 0.9902 2022/08/04 05:11:45 - mmengine - INFO - Epoch(train) [254][140/1879] lr: 1.0000e-04 eta: 0:26:14 time: 0.2867 data_time: 0.0227 memory: 8198 grad_norm: 7.3662 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8010 loss: 0.8010 2022/08/04 05:11:50 - mmengine - INFO - Epoch(train) [254][160/1879] lr: 1.0000e-04 eta: 0:26:09 time: 0.2924 data_time: 0.0224 memory: 8198 grad_norm: 6.9438 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7722 loss: 0.7722 2022/08/04 05:11:56 - mmengine - INFO - Epoch(train) [254][180/1879] lr: 1.0000e-04 eta: 0:26:03 time: 0.2870 data_time: 0.0248 memory: 8198 grad_norm: 7.5318 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9091 loss: 0.9091 2022/08/04 05:12:02 - mmengine - INFO - Epoch(train) [254][200/1879] lr: 1.0000e-04 eta: 0:25:57 time: 0.2856 data_time: 0.0225 memory: 8198 grad_norm: 7.4721 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0356 loss: 1.0356 2022/08/04 05:12:08 - mmengine - INFO - Epoch(train) [254][220/1879] lr: 1.0000e-04 eta: 0:25:51 time: 0.2942 data_time: 0.0202 memory: 8198 grad_norm: 7.3985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8806 loss: 0.8806 2022/08/04 05:12:14 - mmengine - INFO - Epoch(train) [254][240/1879] lr: 1.0000e-04 eta: 0:25:46 time: 0.2970 data_time: 0.0205 memory: 8198 grad_norm: 7.5998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9342 loss: 0.9342 2022/08/04 05:12:20 - mmengine - INFO - Epoch(train) [254][260/1879] lr: 1.0000e-04 eta: 0:25:40 time: 0.2927 data_time: 0.0305 memory: 8198 grad_norm: 7.7485 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9696 loss: 0.9696 2022/08/04 05:12:25 - mmengine - INFO - Epoch(train) [254][280/1879] lr: 1.0000e-04 eta: 0:25:34 time: 0.2875 data_time: 0.0231 memory: 8198 grad_norm: 7.5925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8992 loss: 0.8992 2022/08/04 05:12:31 - mmengine - INFO - Epoch(train) [254][300/1879] lr: 1.0000e-04 eta: 0:25:29 time: 0.2931 data_time: 0.0294 memory: 8198 grad_norm: 7.5899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/08/04 05:12:37 - mmengine - INFO - Epoch(train) [254][320/1879] lr: 1.0000e-04 eta: 0:25:23 time: 0.2841 data_time: 0.0183 memory: 8198 grad_norm: 7.6201 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7881 loss: 0.7881 2022/08/04 05:12:43 - mmengine - INFO - Epoch(train) [254][340/1879] lr: 1.0000e-04 eta: 0:25:17 time: 0.2852 data_time: 0.0263 memory: 8198 grad_norm: 7.5169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8422 loss: 0.8422 2022/08/04 05:12:49 - mmengine - INFO - Epoch(train) [254][360/1879] lr: 1.0000e-04 eta: 0:25:11 time: 0.2906 data_time: 0.0250 memory: 8198 grad_norm: 7.3302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7539 loss: 0.7539 2022/08/04 05:12:54 - mmengine - INFO - Epoch(train) [254][380/1879] lr: 1.0000e-04 eta: 0:25:06 time: 0.2868 data_time: 0.0319 memory: 8198 grad_norm: 7.2215 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9319 loss: 0.9319 2022/08/04 05:13:00 - mmengine - INFO - Epoch(train) [254][400/1879] lr: 1.0000e-04 eta: 0:25:00 time: 0.2875 data_time: 0.0235 memory: 8198 grad_norm: 7.7906 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0488 loss: 1.0488 2022/08/04 05:13:06 - mmengine - INFO - Epoch(train) [254][420/1879] lr: 1.0000e-04 eta: 0:24:54 time: 0.2881 data_time: 0.0258 memory: 8198 grad_norm: 7.5272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9162 loss: 0.9162 2022/08/04 05:13:12 - mmengine - INFO - Epoch(train) [254][440/1879] lr: 1.0000e-04 eta: 0:24:48 time: 0.3062 data_time: 0.0206 memory: 8198 grad_norm: 7.4748 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9304 loss: 0.9304 2022/08/04 05:13:18 - mmengine - INFO - Epoch(train) [254][460/1879] lr: 1.0000e-04 eta: 0:24:43 time: 0.2867 data_time: 0.0226 memory: 8198 grad_norm: 7.2051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/08/04 05:13:24 - mmengine - INFO - Epoch(train) [254][480/1879] lr: 1.0000e-04 eta: 0:24:37 time: 0.2926 data_time: 0.0243 memory: 8198 grad_norm: 7.4302 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9554 loss: 0.9554 2022/08/04 05:13:30 - mmengine - INFO - Epoch(train) [254][500/1879] lr: 1.0000e-04 eta: 0:24:31 time: 0.2918 data_time: 0.0218 memory: 8198 grad_norm: 7.6890 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9072 loss: 0.9072 2022/08/04 05:13:35 - mmengine - INFO - Epoch(train) [254][520/1879] lr: 1.0000e-04 eta: 0:24:25 time: 0.2837 data_time: 0.0198 memory: 8198 grad_norm: 7.6274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1058 loss: 1.1058 2022/08/04 05:13:41 - mmengine - INFO - Epoch(train) [254][540/1879] lr: 1.0000e-04 eta: 0:24:20 time: 0.2876 data_time: 0.0199 memory: 8198 grad_norm: 7.1653 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9455 loss: 0.9455 2022/08/04 05:13:47 - mmengine - INFO - Epoch(train) [254][560/1879] lr: 1.0000e-04 eta: 0:24:14 time: 0.2867 data_time: 0.0235 memory: 8198 grad_norm: 7.4260 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9682 loss: 0.9682 2022/08/04 05:13:53 - mmengine - INFO - Epoch(train) [254][580/1879] lr: 1.0000e-04 eta: 0:24:08 time: 0.2916 data_time: 0.0181 memory: 8198 grad_norm: 7.7159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1221 loss: 1.1221 2022/08/04 05:13:59 - mmengine - INFO - Epoch(train) [254][600/1879] lr: 1.0000e-04 eta: 0:24:03 time: 0.2927 data_time: 0.0311 memory: 8198 grad_norm: 7.6886 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9072 loss: 0.9072 2022/08/04 05:14:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:14:04 - mmengine - INFO - Epoch(train) [254][620/1879] lr: 1.0000e-04 eta: 0:23:57 time: 0.2847 data_time: 0.0232 memory: 8198 grad_norm: 7.5141 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8705 loss: 0.8705 2022/08/04 05:14:10 - mmengine - INFO - Epoch(train) [254][640/1879] lr: 1.0000e-04 eta: 0:23:51 time: 0.2890 data_time: 0.0222 memory: 8198 grad_norm: 7.5586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/04 05:14:16 - mmengine - INFO - Epoch(train) [254][660/1879] lr: 1.0000e-04 eta: 0:23:45 time: 0.2842 data_time: 0.0228 memory: 8198 grad_norm: 7.6273 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9241 loss: 0.9241 2022/08/04 05:14:22 - mmengine - INFO - Epoch(train) [254][680/1879] lr: 1.0000e-04 eta: 0:23:40 time: 0.2893 data_time: 0.0286 memory: 8198 grad_norm: 7.5766 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/08/04 05:14:28 - mmengine - INFO - Epoch(train) [254][700/1879] lr: 1.0000e-04 eta: 0:23:34 time: 0.2907 data_time: 0.0259 memory: 8198 grad_norm: 7.2923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8081 loss: 0.8081 2022/08/04 05:14:33 - mmengine - INFO - Epoch(train) [254][720/1879] lr: 1.0000e-04 eta: 0:23:28 time: 0.2862 data_time: 0.0221 memory: 8198 grad_norm: 7.5762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8971 loss: 0.8971 2022/08/04 05:14:39 - mmengine - INFO - Epoch(train) [254][740/1879] lr: 1.0000e-04 eta: 0:23:22 time: 0.2878 data_time: 0.0187 memory: 8198 grad_norm: 7.4979 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9427 loss: 0.9427 2022/08/04 05:14:45 - mmengine - INFO - Epoch(train) [254][760/1879] lr: 1.0000e-04 eta: 0:23:17 time: 0.2884 data_time: 0.0239 memory: 8198 grad_norm: 7.4640 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8757 loss: 0.8757 2022/08/04 05:14:51 - mmengine - INFO - Epoch(train) [254][780/1879] lr: 1.0000e-04 eta: 0:23:11 time: 0.2943 data_time: 0.0271 memory: 8198 grad_norm: 7.2811 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8850 loss: 0.8850 2022/08/04 05:14:57 - mmengine - INFO - Epoch(train) [254][800/1879] lr: 1.0000e-04 eta: 0:23:05 time: 0.2858 data_time: 0.0213 memory: 8198 grad_norm: 7.4971 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8716 loss: 0.8716 2022/08/04 05:15:02 - mmengine - INFO - Epoch(train) [254][820/1879] lr: 1.0000e-04 eta: 0:23:00 time: 0.2901 data_time: 0.0308 memory: 8198 grad_norm: 7.6137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9357 loss: 0.9357 2022/08/04 05:15:08 - mmengine - INFO - Epoch(train) [254][840/1879] lr: 1.0000e-04 eta: 0:22:54 time: 0.2903 data_time: 0.0200 memory: 8198 grad_norm: 7.4071 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9358 loss: 0.9358 2022/08/04 05:15:14 - mmengine - INFO - Epoch(train) [254][860/1879] lr: 1.0000e-04 eta: 0:22:48 time: 0.2842 data_time: 0.0194 memory: 8198 grad_norm: 7.5596 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9731 loss: 0.9731 2022/08/04 05:15:20 - mmengine - INFO - Epoch(train) [254][880/1879] lr: 1.0000e-04 eta: 0:22:42 time: 0.2892 data_time: 0.0211 memory: 8198 grad_norm: 7.4637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8458 loss: 0.8458 2022/08/04 05:15:26 - mmengine - INFO - Epoch(train) [254][900/1879] lr: 1.0000e-04 eta: 0:22:37 time: 0.2893 data_time: 0.0263 memory: 8198 grad_norm: 7.4789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7532 loss: 0.7532 2022/08/04 05:15:32 - mmengine - INFO - Epoch(train) [254][920/1879] lr: 1.0000e-04 eta: 0:22:31 time: 0.2972 data_time: 0.0211 memory: 8198 grad_norm: 7.4649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1930 loss: 1.1930 2022/08/04 05:15:37 - mmengine - INFO - Epoch(train) [254][940/1879] lr: 1.0000e-04 eta: 0:22:25 time: 0.2857 data_time: 0.0224 memory: 8198 grad_norm: 7.5486 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/04 05:15:43 - mmengine - INFO - Epoch(train) [254][960/1879] lr: 1.0000e-04 eta: 0:22:19 time: 0.2865 data_time: 0.0208 memory: 8198 grad_norm: 7.2676 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0437 loss: 1.0437 2022/08/04 05:15:49 - mmengine - INFO - Epoch(train) [254][980/1879] lr: 1.0000e-04 eta: 0:22:14 time: 0.2873 data_time: 0.0236 memory: 8198 grad_norm: 7.2732 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/08/04 05:15:55 - mmengine - INFO - Epoch(train) [254][1000/1879] lr: 1.0000e-04 eta: 0:22:08 time: 0.2840 data_time: 0.0195 memory: 8198 grad_norm: 7.2816 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9130 loss: 0.9130 2022/08/04 05:16:00 - mmengine - INFO - Epoch(train) [254][1020/1879] lr: 1.0000e-04 eta: 0:22:02 time: 0.2895 data_time: 0.0233 memory: 8198 grad_norm: 7.4841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/08/04 05:16:06 - mmengine - INFO - Epoch(train) [254][1040/1879] lr: 1.0000e-04 eta: 0:21:57 time: 0.2866 data_time: 0.0191 memory: 8198 grad_norm: 7.5053 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0456 loss: 1.0456 2022/08/04 05:16:12 - mmengine - INFO - Epoch(train) [254][1060/1879] lr: 1.0000e-04 eta: 0:21:51 time: 0.3047 data_time: 0.0245 memory: 8198 grad_norm: 7.3928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/08/04 05:16:18 - mmengine - INFO - Epoch(train) [254][1080/1879] lr: 1.0000e-04 eta: 0:21:45 time: 0.2870 data_time: 0.0173 memory: 8198 grad_norm: 7.5673 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8943 loss: 0.8943 2022/08/04 05:16:24 - mmengine - INFO - Epoch(train) [254][1100/1879] lr: 1.0000e-04 eta: 0:21:39 time: 0.2881 data_time: 0.0259 memory: 8198 grad_norm: 7.5619 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7940 loss: 0.7940 2022/08/04 05:16:30 - mmengine - INFO - Epoch(train) [254][1120/1879] lr: 1.0000e-04 eta: 0:21:34 time: 0.2859 data_time: 0.0233 memory: 8198 grad_norm: 7.7212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/08/04 05:16:35 - mmengine - INFO - Epoch(train) [254][1140/1879] lr: 1.0000e-04 eta: 0:21:28 time: 0.2860 data_time: 0.0200 memory: 8198 grad_norm: 7.5182 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9961 loss: 0.9961 2022/08/04 05:16:41 - mmengine - INFO - Epoch(train) [254][1160/1879] lr: 1.0000e-04 eta: 0:21:22 time: 0.2900 data_time: 0.0184 memory: 8198 grad_norm: 7.2105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7640 loss: 0.7640 2022/08/04 05:16:47 - mmengine - INFO - Epoch(train) [254][1180/1879] lr: 1.0000e-04 eta: 0:21:16 time: 0.2848 data_time: 0.0236 memory: 8198 grad_norm: 7.4171 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/04 05:16:53 - mmengine - INFO - Epoch(train) [254][1200/1879] lr: 1.0000e-04 eta: 0:21:11 time: 0.2894 data_time: 0.0250 memory: 8198 grad_norm: 7.7223 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9323 loss: 0.9323 2022/08/04 05:16:59 - mmengine - INFO - Epoch(train) [254][1220/1879] lr: 1.0000e-04 eta: 0:21:05 time: 0.2981 data_time: 0.0278 memory: 8198 grad_norm: 7.2985 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/04 05:17:04 - mmengine - INFO - Epoch(train) [254][1240/1879] lr: 1.0000e-04 eta: 0:20:59 time: 0.2817 data_time: 0.0184 memory: 8198 grad_norm: 7.2810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9061 loss: 0.9061 2022/08/04 05:17:10 - mmengine - INFO - Epoch(train) [254][1260/1879] lr: 1.0000e-04 eta: 0:20:53 time: 0.2896 data_time: 0.0289 memory: 8198 grad_norm: 7.5242 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0056 loss: 1.0056 2022/08/04 05:17:16 - mmengine - INFO - Epoch(train) [254][1280/1879] lr: 1.0000e-04 eta: 0:20:48 time: 0.2854 data_time: 0.0230 memory: 8198 grad_norm: 7.4594 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8690 loss: 0.8690 2022/08/04 05:17:22 - mmengine - INFO - Epoch(train) [254][1300/1879] lr: 1.0000e-04 eta: 0:20:42 time: 0.2901 data_time: 0.0203 memory: 8198 grad_norm: 7.3264 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8014 loss: 0.8014 2022/08/04 05:17:28 - mmengine - INFO - Epoch(train) [254][1320/1879] lr: 1.0000e-04 eta: 0:20:36 time: 0.2830 data_time: 0.0210 memory: 8198 grad_norm: 7.6740 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1156 loss: 1.1156 2022/08/04 05:17:33 - mmengine - INFO - Epoch(train) [254][1340/1879] lr: 1.0000e-04 eta: 0:20:31 time: 0.2926 data_time: 0.0252 memory: 8198 grad_norm: 7.3039 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9063 loss: 0.9063 2022/08/04 05:17:39 - mmengine - INFO - Epoch(train) [254][1360/1879] lr: 1.0000e-04 eta: 0:20:25 time: 0.2876 data_time: 0.0209 memory: 8198 grad_norm: 7.3857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/08/04 05:17:45 - mmengine - INFO - Epoch(train) [254][1380/1879] lr: 1.0000e-04 eta: 0:20:19 time: 0.2876 data_time: 0.0254 memory: 8198 grad_norm: 7.3370 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8475 loss: 0.8475 2022/08/04 05:17:51 - mmengine - INFO - Epoch(train) [254][1400/1879] lr: 1.0000e-04 eta: 0:20:13 time: 0.2898 data_time: 0.0221 memory: 8198 grad_norm: 7.6107 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8268 loss: 0.8268 2022/08/04 05:17:57 - mmengine - INFO - Epoch(train) [254][1420/1879] lr: 1.0000e-04 eta: 0:20:08 time: 0.2851 data_time: 0.0237 memory: 8198 grad_norm: 7.4922 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7686 loss: 0.7686 2022/08/04 05:18:02 - mmengine - INFO - Epoch(train) [254][1440/1879] lr: 1.0000e-04 eta: 0:20:02 time: 0.2834 data_time: 0.0255 memory: 8198 grad_norm: 7.4529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9995 loss: 0.9995 2022/08/04 05:18:08 - mmengine - INFO - Epoch(train) [254][1460/1879] lr: 1.0000e-04 eta: 0:19:56 time: 0.2892 data_time: 0.0216 memory: 8198 grad_norm: 7.5013 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8528 loss: 0.8528 2022/08/04 05:18:14 - mmengine - INFO - Epoch(train) [254][1480/1879] lr: 1.0000e-04 eta: 0:19:50 time: 0.2933 data_time: 0.0254 memory: 8198 grad_norm: 7.3033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0042 loss: 1.0042 2022/08/04 05:18:20 - mmengine - INFO - Epoch(train) [254][1500/1879] lr: 1.0000e-04 eta: 0:19:45 time: 0.2854 data_time: 0.0258 memory: 8198 grad_norm: 7.6692 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/04 05:18:26 - mmengine - INFO - Epoch(train) [254][1520/1879] lr: 1.0000e-04 eta: 0:19:39 time: 0.3043 data_time: 0.0191 memory: 8198 grad_norm: 7.5675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0321 loss: 1.0321 2022/08/04 05:18:32 - mmengine - INFO - Epoch(train) [254][1540/1879] lr: 1.0000e-04 eta: 0:19:33 time: 0.2841 data_time: 0.0223 memory: 8198 grad_norm: 7.4116 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0271 loss: 1.0271 2022/08/04 05:18:37 - mmengine - INFO - Epoch(train) [254][1560/1879] lr: 1.0000e-04 eta: 0:19:28 time: 0.2852 data_time: 0.0177 memory: 8198 grad_norm: 7.6220 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/04 05:18:43 - mmengine - INFO - Epoch(train) [254][1580/1879] lr: 1.0000e-04 eta: 0:19:22 time: 0.2906 data_time: 0.0231 memory: 8198 grad_norm: 7.5553 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/04 05:18:49 - mmengine - INFO - Epoch(train) [254][1600/1879] lr: 1.0000e-04 eta: 0:19:16 time: 0.2840 data_time: 0.0183 memory: 8198 grad_norm: 7.2039 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/08/04 05:18:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:18:55 - mmengine - INFO - Epoch(train) [254][1620/1879] lr: 1.0000e-04 eta: 0:19:10 time: 0.2862 data_time: 0.0220 memory: 8198 grad_norm: 7.4365 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9441 loss: 0.9441 2022/08/04 05:19:00 - mmengine - INFO - Epoch(train) [254][1640/1879] lr: 1.0000e-04 eta: 0:19:05 time: 0.2915 data_time: 0.0233 memory: 8198 grad_norm: 7.2257 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8845 loss: 0.8845 2022/08/04 05:19:06 - mmengine - INFO - Epoch(train) [254][1660/1879] lr: 1.0000e-04 eta: 0:18:59 time: 0.2870 data_time: 0.0266 memory: 8198 grad_norm: 7.6753 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8808 loss: 0.8808 2022/08/04 05:19:12 - mmengine - INFO - Epoch(train) [254][1680/1879] lr: 1.0000e-04 eta: 0:18:53 time: 0.2891 data_time: 0.0261 memory: 8198 grad_norm: 7.5116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8083 loss: 0.8083 2022/08/04 05:19:18 - mmengine - INFO - Epoch(train) [254][1700/1879] lr: 1.0000e-04 eta: 0:18:47 time: 0.2874 data_time: 0.0214 memory: 8198 grad_norm: 7.4732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/08/04 05:19:24 - mmengine - INFO - Epoch(train) [254][1720/1879] lr: 1.0000e-04 eta: 0:18:42 time: 0.2915 data_time: 0.0201 memory: 8198 grad_norm: 7.5514 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/04 05:19:30 - mmengine - INFO - Epoch(train) [254][1740/1879] lr: 1.0000e-04 eta: 0:18:36 time: 0.2941 data_time: 0.0217 memory: 8198 grad_norm: 7.6101 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9136 loss: 0.9136 2022/08/04 05:19:35 - mmengine - INFO - Epoch(train) [254][1760/1879] lr: 1.0000e-04 eta: 0:18:30 time: 0.2842 data_time: 0.0227 memory: 8198 grad_norm: 7.6675 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0794 loss: 1.0794 2022/08/04 05:19:41 - mmengine - INFO - Epoch(train) [254][1780/1879] lr: 1.0000e-04 eta: 0:18:25 time: 0.2958 data_time: 0.0239 memory: 8198 grad_norm: 7.5200 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9706 loss: 0.9706 2022/08/04 05:19:47 - mmengine - INFO - Epoch(train) [254][1800/1879] lr: 1.0000e-04 eta: 0:18:19 time: 0.2897 data_time: 0.0297 memory: 8198 grad_norm: 7.5632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0378 loss: 1.0378 2022/08/04 05:19:53 - mmengine - INFO - Epoch(train) [254][1820/1879] lr: 1.0000e-04 eta: 0:18:13 time: 0.2884 data_time: 0.0220 memory: 8198 grad_norm: 7.5437 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9555 loss: 0.9555 2022/08/04 05:19:59 - mmengine - INFO - Epoch(train) [254][1840/1879] lr: 1.0000e-04 eta: 0:18:07 time: 0.2953 data_time: 0.0249 memory: 8198 grad_norm: 7.6719 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9007 loss: 0.9007 2022/08/04 05:20:05 - mmengine - INFO - Epoch(train) [254][1860/1879] lr: 1.0000e-04 eta: 0:18:02 time: 0.2858 data_time: 0.0223 memory: 8198 grad_norm: 7.6805 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9450 loss: 0.9450 2022/08/04 05:20:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:20:10 - mmengine - INFO - Epoch(train) [254][1879/1879] lr: 1.0000e-04 eta: 0:18:02 time: 0.2635 data_time: 0.0136 memory: 8198 grad_norm: 7.7533 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/08/04 05:20:18 - mmengine - INFO - Epoch(train) [255][20/1879] lr: 1.0000e-04 eta: 0:17:50 time: 0.4178 data_time: 0.1016 memory: 8198 grad_norm: 7.6903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8337 loss: 0.8337 2022/08/04 05:20:24 - mmengine - INFO - Epoch(train) [255][40/1879] lr: 1.0000e-04 eta: 0:17:45 time: 0.2937 data_time: 0.0235 memory: 8198 grad_norm: 7.3993 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0402 loss: 1.0402 2022/08/04 05:20:30 - mmengine - INFO - Epoch(train) [255][60/1879] lr: 1.0000e-04 eta: 0:17:39 time: 0.3012 data_time: 0.0339 memory: 8198 grad_norm: 7.5161 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9232 loss: 0.9232 2022/08/04 05:20:36 - mmengine - INFO - Epoch(train) [255][80/1879] lr: 1.0000e-04 eta: 0:17:33 time: 0.2856 data_time: 0.0212 memory: 8198 grad_norm: 7.2155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/04 05:20:42 - mmengine - INFO - Epoch(train) [255][100/1879] lr: 1.0000e-04 eta: 0:17:27 time: 0.2896 data_time: 0.0269 memory: 8198 grad_norm: 7.5104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8223 loss: 0.8223 2022/08/04 05:20:47 - mmengine - INFO - Epoch(train) [255][120/1879] lr: 1.0000e-04 eta: 0:17:22 time: 0.2872 data_time: 0.0238 memory: 8198 grad_norm: 7.4208 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9120 loss: 0.9120 2022/08/04 05:20:53 - mmengine - INFO - Epoch(train) [255][140/1879] lr: 1.0000e-04 eta: 0:17:16 time: 0.2910 data_time: 0.0217 memory: 8198 grad_norm: 7.3253 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/04 05:20:59 - mmengine - INFO - Epoch(train) [255][160/1879] lr: 1.0000e-04 eta: 0:17:10 time: 0.2859 data_time: 0.0237 memory: 8198 grad_norm: 7.7201 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9917 loss: 0.9917 2022/08/04 05:21:05 - mmengine - INFO - Epoch(train) [255][180/1879] lr: 1.0000e-04 eta: 0:17:05 time: 0.2883 data_time: 0.0232 memory: 8198 grad_norm: 7.3149 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9157 loss: 0.9157 2022/08/04 05:21:11 - mmengine - INFO - Epoch(train) [255][200/1879] lr: 1.0000e-04 eta: 0:16:59 time: 0.2933 data_time: 0.0211 memory: 8198 grad_norm: 7.3767 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/04 05:21:16 - mmengine - INFO - Epoch(train) [255][220/1879] lr: 1.0000e-04 eta: 0:16:53 time: 0.2867 data_time: 0.0227 memory: 8198 grad_norm: 7.7275 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0161 loss: 1.0161 2022/08/04 05:21:22 - mmengine - INFO - Epoch(train) [255][240/1879] lr: 1.0000e-04 eta: 0:16:47 time: 0.2968 data_time: 0.0209 memory: 8198 grad_norm: 7.2567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9251 loss: 0.9251 2022/08/04 05:21:28 - mmengine - INFO - Epoch(train) [255][260/1879] lr: 1.0000e-04 eta: 0:16:42 time: 0.2879 data_time: 0.0217 memory: 8198 grad_norm: 7.3989 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0565 loss: 1.0565 2022/08/04 05:21:34 - mmengine - INFO - Epoch(train) [255][280/1879] lr: 1.0000e-04 eta: 0:16:36 time: 0.2872 data_time: 0.0220 memory: 8198 grad_norm: 7.4183 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0087 loss: 1.0087 2022/08/04 05:21:40 - mmengine - INFO - Epoch(train) [255][300/1879] lr: 1.0000e-04 eta: 0:16:30 time: 0.2926 data_time: 0.0235 memory: 8198 grad_norm: 7.1010 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9186 loss: 0.9186 2022/08/04 05:21:46 - mmengine - INFO - Epoch(train) [255][320/1879] lr: 1.0000e-04 eta: 0:16:24 time: 0.2855 data_time: 0.0208 memory: 8198 grad_norm: 7.4876 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9041 loss: 0.9041 2022/08/04 05:21:51 - mmengine - INFO - Epoch(train) [255][340/1879] lr: 1.0000e-04 eta: 0:16:19 time: 0.2859 data_time: 0.0180 memory: 8198 grad_norm: 7.4785 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9637 loss: 0.9637 2022/08/04 05:21:57 - mmengine - INFO - Epoch(train) [255][360/1879] lr: 1.0000e-04 eta: 0:16:13 time: 0.2877 data_time: 0.0209 memory: 8198 grad_norm: 7.6024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0009 loss: 1.0009 2022/08/04 05:22:03 - mmengine - INFO - Epoch(train) [255][380/1879] lr: 1.0000e-04 eta: 0:16:07 time: 0.2929 data_time: 0.0214 memory: 8198 grad_norm: 7.4429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9358 loss: 0.9358 2022/08/04 05:22:09 - mmengine - INFO - Epoch(train) [255][400/1879] lr: 1.0000e-04 eta: 0:16:02 time: 0.2871 data_time: 0.0239 memory: 8198 grad_norm: 7.6289 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/08/04 05:22:15 - mmengine - INFO - Epoch(train) [255][420/1879] lr: 1.0000e-04 eta: 0:15:56 time: 0.2884 data_time: 0.0273 memory: 8198 grad_norm: 7.6658 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8487 loss: 0.8487 2022/08/04 05:22:21 - mmengine - INFO - Epoch(train) [255][440/1879] lr: 1.0000e-04 eta: 0:15:50 time: 0.2946 data_time: 0.0183 memory: 8198 grad_norm: 7.6112 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9948 loss: 0.9948 2022/08/04 05:22:26 - mmengine - INFO - Epoch(train) [255][460/1879] lr: 1.0000e-04 eta: 0:15:44 time: 0.2860 data_time: 0.0186 memory: 8198 grad_norm: 7.4710 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/04 05:22:32 - mmengine - INFO - Epoch(train) [255][480/1879] lr: 1.0000e-04 eta: 0:15:39 time: 0.2846 data_time: 0.0194 memory: 8198 grad_norm: 7.5846 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9558 loss: 0.9558 2022/08/04 05:22:38 - mmengine - INFO - Epoch(train) [255][500/1879] lr: 1.0000e-04 eta: 0:15:33 time: 0.2896 data_time: 0.0217 memory: 8198 grad_norm: 7.3875 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9671 loss: 0.9671 2022/08/04 05:22:44 - mmengine - INFO - Epoch(train) [255][520/1879] lr: 1.0000e-04 eta: 0:15:27 time: 0.2901 data_time: 0.0211 memory: 8198 grad_norm: 7.3551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9515 loss: 0.9515 2022/08/04 05:22:49 - mmengine - INFO - Epoch(train) [255][540/1879] lr: 1.0000e-04 eta: 0:15:21 time: 0.2872 data_time: 0.0238 memory: 8198 grad_norm: 7.4969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8271 loss: 0.8271 2022/08/04 05:22:55 - mmengine - INFO - Epoch(train) [255][560/1879] lr: 1.0000e-04 eta: 0:15:16 time: 0.2853 data_time: 0.0220 memory: 8198 grad_norm: 7.3696 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8793 loss: 0.8793 2022/08/04 05:23:01 - mmengine - INFO - Epoch(train) [255][580/1879] lr: 1.0000e-04 eta: 0:15:10 time: 0.3120 data_time: 0.0222 memory: 8198 grad_norm: 7.5870 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8619 loss: 0.8619 2022/08/04 05:23:07 - mmengine - INFO - Epoch(train) [255][600/1879] lr: 1.0000e-04 eta: 0:15:04 time: 0.2848 data_time: 0.0199 memory: 8198 grad_norm: 7.4872 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9862 loss: 0.9862 2022/08/04 05:23:13 - mmengine - INFO - Epoch(train) [255][620/1879] lr: 1.0000e-04 eta: 0:14:59 time: 0.2854 data_time: 0.0235 memory: 8198 grad_norm: 7.3475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9290 loss: 0.9290 2022/08/04 05:23:19 - mmengine - INFO - Epoch(train) [255][640/1879] lr: 1.0000e-04 eta: 0:14:53 time: 0.2895 data_time: 0.0188 memory: 8198 grad_norm: 7.4151 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9823 loss: 0.9823 2022/08/04 05:23:25 - mmengine - INFO - Epoch(train) [255][660/1879] lr: 1.0000e-04 eta: 0:14:47 time: 0.2949 data_time: 0.0252 memory: 8198 grad_norm: 7.3790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0038 loss: 1.0038 2022/08/04 05:23:30 - mmengine - INFO - Epoch(train) [255][680/1879] lr: 1.0000e-04 eta: 0:14:41 time: 0.2863 data_time: 0.0192 memory: 8198 grad_norm: 7.3225 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/08/04 05:23:36 - mmengine - INFO - Epoch(train) [255][700/1879] lr: 1.0000e-04 eta: 0:14:36 time: 0.2880 data_time: 0.0241 memory: 8198 grad_norm: 7.2661 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0395 loss: 1.0395 2022/08/04 05:23:42 - mmengine - INFO - Epoch(train) [255][720/1879] lr: 1.0000e-04 eta: 0:14:30 time: 0.2937 data_time: 0.0208 memory: 8198 grad_norm: 7.3231 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9941 loss: 0.9941 2022/08/04 05:23:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:23:48 - mmengine - INFO - Epoch(train) [255][740/1879] lr: 1.0000e-04 eta: 0:14:24 time: 0.2887 data_time: 0.0180 memory: 8198 grad_norm: 7.5381 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8332 loss: 0.8332 2022/08/04 05:23:54 - mmengine - INFO - Epoch(train) [255][760/1879] lr: 1.0000e-04 eta: 0:14:18 time: 0.2888 data_time: 0.0224 memory: 8198 grad_norm: 7.5593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8992 loss: 0.8992 2022/08/04 05:24:00 - mmengine - INFO - Epoch(train) [255][780/1879] lr: 1.0000e-04 eta: 0:14:13 time: 0.2996 data_time: 0.0189 memory: 8198 grad_norm: 7.4193 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9233 loss: 0.9233 2022/08/04 05:24:06 - mmengine - INFO - Epoch(train) [255][800/1879] lr: 1.0000e-04 eta: 0:14:07 time: 0.2855 data_time: 0.0223 memory: 8198 grad_norm: 7.3233 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9848 loss: 0.9848 2022/08/04 05:24:11 - mmengine - INFO - Epoch(train) [255][820/1879] lr: 1.0000e-04 eta: 0:14:01 time: 0.2871 data_time: 0.0209 memory: 8198 grad_norm: 7.7522 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/08/04 05:24:17 - mmengine - INFO - Epoch(train) [255][840/1879] lr: 1.0000e-04 eta: 0:13:56 time: 0.2838 data_time: 0.0190 memory: 8198 grad_norm: 7.3896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8341 loss: 0.8341 2022/08/04 05:24:23 - mmengine - INFO - Epoch(train) [255][860/1879] lr: 1.0000e-04 eta: 0:13:50 time: 0.2982 data_time: 0.0222 memory: 8198 grad_norm: 7.5632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0142 loss: 1.0142 2022/08/04 05:24:29 - mmengine - INFO - Epoch(train) [255][880/1879] lr: 1.0000e-04 eta: 0:13:44 time: 0.2862 data_time: 0.0233 memory: 8198 grad_norm: 7.3363 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0440 loss: 1.0440 2022/08/04 05:24:34 - mmengine - INFO - Epoch(train) [255][900/1879] lr: 1.0000e-04 eta: 0:13:38 time: 0.2857 data_time: 0.0199 memory: 8198 grad_norm: 7.4487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/08/04 05:24:40 - mmengine - INFO - Epoch(train) [255][920/1879] lr: 1.0000e-04 eta: 0:13:33 time: 0.2910 data_time: 0.0252 memory: 8198 grad_norm: 7.4788 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9958 loss: 0.9958 2022/08/04 05:24:46 - mmengine - INFO - Epoch(train) [255][940/1879] lr: 1.0000e-04 eta: 0:13:27 time: 0.2849 data_time: 0.0200 memory: 8198 grad_norm: 7.6853 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0800 loss: 1.0800 2022/08/04 05:24:52 - mmengine - INFO - Epoch(train) [255][960/1879] lr: 1.0000e-04 eta: 0:13:21 time: 0.2838 data_time: 0.0209 memory: 8198 grad_norm: 7.4543 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/08/04 05:24:58 - mmengine - INFO - Epoch(train) [255][980/1879] lr: 1.0000e-04 eta: 0:13:15 time: 0.2863 data_time: 0.0259 memory: 8198 grad_norm: 7.3992 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8348 loss: 0.8348 2022/08/04 05:25:03 - mmengine - INFO - Epoch(train) [255][1000/1879] lr: 1.0000e-04 eta: 0:13:10 time: 0.2922 data_time: 0.0233 memory: 8198 grad_norm: 7.1895 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7731 loss: 0.7731 2022/08/04 05:25:09 - mmengine - INFO - Epoch(train) [255][1020/1879] lr: 1.0000e-04 eta: 0:13:04 time: 0.2870 data_time: 0.0200 memory: 8198 grad_norm: 7.3921 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0014 loss: 1.0014 2022/08/04 05:25:15 - mmengine - INFO - Epoch(train) [255][1040/1879] lr: 1.0000e-04 eta: 0:12:58 time: 0.2846 data_time: 0.0232 memory: 8198 grad_norm: 7.6081 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8770 loss: 0.8770 2022/08/04 05:25:21 - mmengine - INFO - Epoch(train) [255][1060/1879] lr: 1.0000e-04 eta: 0:12:52 time: 0.3033 data_time: 0.0219 memory: 8198 grad_norm: 7.5607 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/04 05:25:27 - mmengine - INFO - Epoch(train) [255][1080/1879] lr: 1.0000e-04 eta: 0:12:47 time: 0.2818 data_time: 0.0220 memory: 8198 grad_norm: 7.3117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0137 loss: 1.0137 2022/08/04 05:25:32 - mmengine - INFO - Epoch(train) [255][1100/1879] lr: 1.0000e-04 eta: 0:12:41 time: 0.2860 data_time: 0.0226 memory: 8198 grad_norm: 7.2676 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/04 05:25:38 - mmengine - INFO - Epoch(train) [255][1120/1879] lr: 1.0000e-04 eta: 0:12:35 time: 0.2872 data_time: 0.0230 memory: 8198 grad_norm: 7.7295 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1071 loss: 1.1071 2022/08/04 05:25:44 - mmengine - INFO - Epoch(train) [255][1140/1879] lr: 1.0000e-04 eta: 0:12:30 time: 0.3019 data_time: 0.0216 memory: 8198 grad_norm: 7.2886 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9683 loss: 0.9683 2022/08/04 05:25:50 - mmengine - INFO - Epoch(train) [255][1160/1879] lr: 1.0000e-04 eta: 0:12:24 time: 0.2883 data_time: 0.0281 memory: 8198 grad_norm: 7.4118 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9513 loss: 0.9513 2022/08/04 05:25:56 - mmengine - INFO - Epoch(train) [255][1180/1879] lr: 1.0000e-04 eta: 0:12:18 time: 0.2850 data_time: 0.0215 memory: 8198 grad_norm: 7.5524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0887 loss: 1.0887 2022/08/04 05:26:02 - mmengine - INFO - Epoch(train) [255][1200/1879] lr: 1.0000e-04 eta: 0:12:12 time: 0.3041 data_time: 0.0175 memory: 8198 grad_norm: 7.2423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/08/04 05:26:08 - mmengine - INFO - Epoch(train) [255][1220/1879] lr: 1.0000e-04 eta: 0:12:07 time: 0.2876 data_time: 0.0215 memory: 8198 grad_norm: 7.4494 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/04 05:26:13 - mmengine - INFO - Epoch(train) [255][1240/1879] lr: 1.0000e-04 eta: 0:12:01 time: 0.2858 data_time: 0.0200 memory: 8198 grad_norm: 7.5896 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8958 loss: 0.8958 2022/08/04 05:26:19 - mmengine - INFO - Epoch(train) [255][1260/1879] lr: 1.0000e-04 eta: 0:11:55 time: 0.2938 data_time: 0.0222 memory: 8198 grad_norm: 7.4257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0066 loss: 1.0066 2022/08/04 05:26:25 - mmengine - INFO - Epoch(train) [255][1280/1879] lr: 1.0000e-04 eta: 0:11:49 time: 0.2876 data_time: 0.0254 memory: 8198 grad_norm: 7.5592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/08/04 05:26:31 - mmengine - INFO - Epoch(train) [255][1300/1879] lr: 1.0000e-04 eta: 0:11:44 time: 0.2865 data_time: 0.0218 memory: 8198 grad_norm: 7.4482 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8537 loss: 0.8537 2022/08/04 05:26:37 - mmengine - INFO - Epoch(train) [255][1320/1879] lr: 1.0000e-04 eta: 0:11:38 time: 0.2873 data_time: 0.0233 memory: 8198 grad_norm: 7.0892 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7867 loss: 0.7867 2022/08/04 05:26:42 - mmengine - INFO - Epoch(train) [255][1340/1879] lr: 1.0000e-04 eta: 0:11:32 time: 0.2860 data_time: 0.0217 memory: 8198 grad_norm: 7.2061 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8500 loss: 0.8500 2022/08/04 05:26:48 - mmengine - INFO - Epoch(train) [255][1360/1879] lr: 1.0000e-04 eta: 0:11:27 time: 0.2867 data_time: 0.0261 memory: 8198 grad_norm: 7.6064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/08/04 05:26:54 - mmengine - INFO - Epoch(train) [255][1380/1879] lr: 1.0000e-04 eta: 0:11:21 time: 0.2901 data_time: 0.0255 memory: 8198 grad_norm: 7.5333 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9279 loss: 0.9279 2022/08/04 05:27:00 - mmengine - INFO - Epoch(train) [255][1400/1879] lr: 1.0000e-04 eta: 0:11:15 time: 0.2883 data_time: 0.0184 memory: 8198 grad_norm: 7.3174 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8982 loss: 0.8982 2022/08/04 05:27:06 - mmengine - INFO - Epoch(train) [255][1420/1879] lr: 1.0000e-04 eta: 0:11:09 time: 0.2872 data_time: 0.0207 memory: 8198 grad_norm: 7.5228 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8653 loss: 0.8653 2022/08/04 05:27:11 - mmengine - INFO - Epoch(train) [255][1440/1879] lr: 1.0000e-04 eta: 0:11:04 time: 0.2908 data_time: 0.0254 memory: 8198 grad_norm: 7.6690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9059 loss: 0.9059 2022/08/04 05:27:17 - mmengine - INFO - Epoch(train) [255][1460/1879] lr: 1.0000e-04 eta: 0:10:58 time: 0.2884 data_time: 0.0244 memory: 8198 grad_norm: 7.6681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9316 loss: 0.9316 2022/08/04 05:27:23 - mmengine - INFO - Epoch(train) [255][1480/1879] lr: 1.0000e-04 eta: 0:10:52 time: 0.2880 data_time: 0.0219 memory: 8198 grad_norm: 7.8539 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1615 loss: 1.1615 2022/08/04 05:27:29 - mmengine - INFO - Epoch(train) [255][1500/1879] lr: 1.0000e-04 eta: 0:10:46 time: 0.2873 data_time: 0.0219 memory: 8198 grad_norm: 7.7227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0092 loss: 1.0092 2022/08/04 05:27:35 - mmengine - INFO - Epoch(train) [255][1520/1879] lr: 1.0000e-04 eta: 0:10:41 time: 0.2883 data_time: 0.0218 memory: 8198 grad_norm: 7.4997 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/04 05:27:41 - mmengine - INFO - Epoch(train) [255][1540/1879] lr: 1.0000e-04 eta: 0:10:35 time: 0.2930 data_time: 0.0307 memory: 8198 grad_norm: 7.4798 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0084 loss: 1.0084 2022/08/04 05:27:46 - mmengine - INFO - Epoch(train) [255][1560/1879] lr: 1.0000e-04 eta: 0:10:29 time: 0.2876 data_time: 0.0233 memory: 8198 grad_norm: 7.3662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/08/04 05:27:52 - mmengine - INFO - Epoch(train) [255][1580/1879] lr: 1.0000e-04 eta: 0:10:24 time: 0.2938 data_time: 0.0321 memory: 8198 grad_norm: 7.3884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8532 loss: 0.8532 2022/08/04 05:27:58 - mmengine - INFO - Epoch(train) [255][1600/1879] lr: 1.0000e-04 eta: 0:10:18 time: 0.2878 data_time: 0.0214 memory: 8198 grad_norm: 7.3268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9122 loss: 0.9122 2022/08/04 05:28:04 - mmengine - INFO - Epoch(train) [255][1620/1879] lr: 1.0000e-04 eta: 0:10:12 time: 0.2864 data_time: 0.0177 memory: 8198 grad_norm: 7.4299 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8563 loss: 0.8563 2022/08/04 05:28:10 - mmengine - INFO - Epoch(train) [255][1640/1879] lr: 1.0000e-04 eta: 0:10:06 time: 0.2891 data_time: 0.0220 memory: 8198 grad_norm: 7.5630 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8045 loss: 0.8045 2022/08/04 05:28:15 - mmengine - INFO - Epoch(train) [255][1660/1879] lr: 1.0000e-04 eta: 0:10:01 time: 0.2891 data_time: 0.0233 memory: 8198 grad_norm: 7.6584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/08/04 05:28:21 - mmengine - INFO - Epoch(train) [255][1680/1879] lr: 1.0000e-04 eta: 0:09:55 time: 0.2898 data_time: 0.0179 memory: 8198 grad_norm: 7.6527 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0874 loss: 1.0874 2022/08/04 05:28:27 - mmengine - INFO - Epoch(train) [255][1700/1879] lr: 1.0000e-04 eta: 0:09:49 time: 0.2849 data_time: 0.0207 memory: 8198 grad_norm: 7.5877 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1085 loss: 1.1085 2022/08/04 05:28:33 - mmengine - INFO - Epoch(train) [255][1720/1879] lr: 1.0000e-04 eta: 0:09:43 time: 0.2926 data_time: 0.0198 memory: 8198 grad_norm: 7.5052 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9194 loss: 0.9194 2022/08/04 05:28:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:28:39 - mmengine - INFO - Epoch(train) [255][1740/1879] lr: 1.0000e-04 eta: 0:09:38 time: 0.2858 data_time: 0.0199 memory: 8198 grad_norm: 7.5715 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9948 loss: 0.9948 2022/08/04 05:28:44 - mmengine - INFO - Epoch(train) [255][1760/1879] lr: 1.0000e-04 eta: 0:09:32 time: 0.2849 data_time: 0.0178 memory: 8198 grad_norm: 7.7830 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9114 loss: 0.9114 2022/08/04 05:28:50 - mmengine - INFO - Epoch(train) [255][1780/1879] lr: 1.0000e-04 eta: 0:09:26 time: 0.3013 data_time: 0.0265 memory: 8198 grad_norm: 7.6679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9185 loss: 0.9185 2022/08/04 05:28:56 - mmengine - INFO - Epoch(train) [255][1800/1879] lr: 1.0000e-04 eta: 0:09:20 time: 0.2859 data_time: 0.0199 memory: 8198 grad_norm: 7.5360 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9476 loss: 0.9476 2022/08/04 05:29:02 - mmengine - INFO - Epoch(train) [255][1820/1879] lr: 1.0000e-04 eta: 0:09:15 time: 0.2881 data_time: 0.0205 memory: 8198 grad_norm: 7.3974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8109 loss: 0.8109 2022/08/04 05:29:08 - mmengine - INFO - Epoch(train) [255][1840/1879] lr: 1.0000e-04 eta: 0:09:09 time: 0.2861 data_time: 0.0200 memory: 8198 grad_norm: 7.3509 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0708 loss: 1.0708 2022/08/04 05:29:14 - mmengine - INFO - Epoch(train) [255][1860/1879] lr: 1.0000e-04 eta: 0:09:03 time: 0.2965 data_time: 0.0255 memory: 8198 grad_norm: 7.3386 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8834 loss: 0.8834 2022/08/04 05:29:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:29:19 - mmengine - INFO - Epoch(train) [255][1879/1879] lr: 1.0000e-04 eta: 0:09:03 time: 0.2604 data_time: 0.0199 memory: 8198 grad_norm: 7.6176 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8902 loss: 0.8902 2022/08/04 05:29:25 - mmengine - INFO - Epoch(val) [255][20/155] eta: 0:00:42 time: 0.3185 data_time: 0.2198 memory: 1514 2022/08/04 05:29:30 - mmengine - INFO - Epoch(val) [255][40/155] eta: 0:00:27 time: 0.2349 data_time: 0.1434 memory: 1514 2022/08/04 05:29:36 - mmengine - INFO - Epoch(val) [255][60/155] eta: 0:00:29 time: 0.3057 data_time: 0.2192 memory: 1514 2022/08/04 05:29:40 - mmengine - INFO - Epoch(val) [255][80/155] eta: 0:00:17 time: 0.2308 data_time: 0.1438 memory: 1514 2022/08/04 05:29:47 - mmengine - INFO - Epoch(val) [255][100/155] eta: 0:00:17 time: 0.3150 data_time: 0.2257 memory: 1514 2022/08/04 05:29:51 - mmengine - INFO - Epoch(val) [255][120/155] eta: 0:00:07 time: 0.2191 data_time: 0.1318 memory: 1514 2022/08/04 05:29:57 - mmengine - INFO - Epoch(val) [255][140/155] eta: 0:00:04 time: 0.3028 data_time: 0.2167 memory: 1514 2022/08/04 05:30:02 - mmengine - INFO - Epoch(val) [255][155/155] acc/top1: 0.6772 acc/top5: 0.8662 acc/mean1: 0.6770 2022/08/04 05:30:10 - mmengine - INFO - Epoch(train) [256][20/1879] lr: 1.0000e-04 eta: 0:08:52 time: 0.4037 data_time: 0.1066 memory: 8198 grad_norm: 7.5421 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/08/04 05:30:16 - mmengine - INFO - Epoch(train) [256][40/1879] lr: 1.0000e-04 eta: 0:08:46 time: 0.2951 data_time: 0.0192 memory: 8198 grad_norm: 7.3687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/08/04 05:30:22 - mmengine - INFO - Epoch(train) [256][60/1879] lr: 1.0000e-04 eta: 0:08:41 time: 0.3024 data_time: 0.0217 memory: 8198 grad_norm: 7.2890 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9744 loss: 0.9744 2022/08/04 05:30:28 - mmengine - INFO - Epoch(train) [256][80/1879] lr: 1.0000e-04 eta: 0:08:35 time: 0.2885 data_time: 0.0241 memory: 8198 grad_norm: 7.6484 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8833 loss: 0.8833 2022/08/04 05:30:34 - mmengine - INFO - Epoch(train) [256][100/1879] lr: 1.0000e-04 eta: 0:08:29 time: 0.2909 data_time: 0.0246 memory: 8198 grad_norm: 7.3244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9013 loss: 0.9013 2022/08/04 05:30:40 - mmengine - INFO - Epoch(train) [256][120/1879] lr: 1.0000e-04 eta: 0:08:23 time: 0.2897 data_time: 0.0244 memory: 8198 grad_norm: 7.8956 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0652 loss: 1.0652 2022/08/04 05:30:46 - mmengine - INFO - Epoch(train) [256][140/1879] lr: 1.0000e-04 eta: 0:08:18 time: 0.2871 data_time: 0.0212 memory: 8198 grad_norm: 7.3519 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8809 loss: 0.8809 2022/08/04 05:30:51 - mmengine - INFO - Epoch(train) [256][160/1879] lr: 1.0000e-04 eta: 0:08:12 time: 0.2937 data_time: 0.0206 memory: 8198 grad_norm: 7.5846 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0259 loss: 1.0259 2022/08/04 05:30:57 - mmengine - INFO - Epoch(train) [256][180/1879] lr: 1.0000e-04 eta: 0:08:06 time: 0.2863 data_time: 0.0242 memory: 8198 grad_norm: 7.4275 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0130 loss: 1.0130 2022/08/04 05:31:03 - mmengine - INFO - Epoch(train) [256][200/1879] lr: 1.0000e-04 eta: 0:08:01 time: 0.2894 data_time: 0.0229 memory: 8198 grad_norm: 7.4188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0223 loss: 1.0223 2022/08/04 05:31:09 - mmengine - INFO - Epoch(train) [256][220/1879] lr: 1.0000e-04 eta: 0:07:55 time: 0.2858 data_time: 0.0201 memory: 8198 grad_norm: 7.5393 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9559 loss: 0.9559 2022/08/04 05:31:15 - mmengine - INFO - Epoch(train) [256][240/1879] lr: 1.0000e-04 eta: 0:07:49 time: 0.2902 data_time: 0.0238 memory: 8198 grad_norm: 7.4184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8038 loss: 0.8038 2022/08/04 05:31:21 - mmengine - INFO - Epoch(train) [256][260/1879] lr: 1.0000e-04 eta: 0:07:43 time: 0.3054 data_time: 0.0230 memory: 8198 grad_norm: 7.5456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9077 loss: 0.9077 2022/08/04 05:31:26 - mmengine - INFO - Epoch(train) [256][280/1879] lr: 1.0000e-04 eta: 0:07:38 time: 0.2837 data_time: 0.0219 memory: 8198 grad_norm: 7.5304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/04 05:31:32 - mmengine - INFO - Epoch(train) [256][300/1879] lr: 1.0000e-04 eta: 0:07:32 time: 0.2857 data_time: 0.0205 memory: 8198 grad_norm: 7.4042 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9539 loss: 0.9539 2022/08/04 05:31:38 - mmengine - INFO - Epoch(train) [256][320/1879] lr: 1.0000e-04 eta: 0:07:26 time: 0.2855 data_time: 0.0233 memory: 8198 grad_norm: 7.3148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9908 loss: 0.9908 2022/08/04 05:31:44 - mmengine - INFO - Epoch(train) [256][340/1879] lr: 1.0000e-04 eta: 0:07:20 time: 0.3086 data_time: 0.0215 memory: 8198 grad_norm: 7.5100 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8751 loss: 0.8751 2022/08/04 05:31:50 - mmengine - INFO - Epoch(train) [256][360/1879] lr: 1.0000e-04 eta: 0:07:15 time: 0.2875 data_time: 0.0226 memory: 8198 grad_norm: 7.4111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7980 loss: 0.7980 2022/08/04 05:31:56 - mmengine - INFO - Epoch(train) [256][380/1879] lr: 1.0000e-04 eta: 0:07:09 time: 0.2910 data_time: 0.0249 memory: 8198 grad_norm: 7.3803 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2075 loss: 1.2075 2022/08/04 05:32:02 - mmengine - INFO - Epoch(train) [256][400/1879] lr: 1.0000e-04 eta: 0:07:03 time: 0.2908 data_time: 0.0200 memory: 8198 grad_norm: 7.2210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7865 loss: 0.7865 2022/08/04 05:32:07 - mmengine - INFO - Epoch(train) [256][420/1879] lr: 1.0000e-04 eta: 0:06:58 time: 0.2839 data_time: 0.0194 memory: 8198 grad_norm: 7.6200 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/08/04 05:32:13 - mmengine - INFO - Epoch(train) [256][440/1879] lr: 1.0000e-04 eta: 0:06:52 time: 0.2921 data_time: 0.0204 memory: 8198 grad_norm: 7.1820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8128 loss: 0.8128 2022/08/04 05:32:19 - mmengine - INFO - Epoch(train) [256][460/1879] lr: 1.0000e-04 eta: 0:06:46 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 7.6369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7950 loss: 0.7950 2022/08/04 05:32:25 - mmengine - INFO - Epoch(train) [256][480/1879] lr: 1.0000e-04 eta: 0:06:40 time: 0.2917 data_time: 0.0177 memory: 8198 grad_norm: 7.8288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1537 loss: 1.1537 2022/08/04 05:32:31 - mmengine - INFO - Epoch(train) [256][500/1879] lr: 1.0000e-04 eta: 0:06:35 time: 0.3001 data_time: 0.0233 memory: 8198 grad_norm: 7.4122 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8463 loss: 0.8463 2022/08/04 05:32:37 - mmengine - INFO - Epoch(train) [256][520/1879] lr: 1.0000e-04 eta: 0:06:29 time: 0.2866 data_time: 0.0169 memory: 8198 grad_norm: 7.3833 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9676 loss: 0.9676 2022/08/04 05:32:43 - mmengine - INFO - Epoch(train) [256][540/1879] lr: 1.0000e-04 eta: 0:06:23 time: 0.3060 data_time: 0.0234 memory: 8198 grad_norm: 7.5362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7162 loss: 0.7162 2022/08/04 05:32:48 - mmengine - INFO - Epoch(train) [256][560/1879] lr: 1.0000e-04 eta: 0:06:17 time: 0.2829 data_time: 0.0193 memory: 8198 grad_norm: 6.7790 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8614 loss: 0.8614 2022/08/04 05:32:54 - mmengine - INFO - Epoch(train) [256][580/1879] lr: 1.0000e-04 eta: 0:06:12 time: 0.2872 data_time: 0.0236 memory: 8198 grad_norm: 7.5470 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0525 loss: 1.0525 2022/08/04 05:33:00 - mmengine - INFO - Epoch(train) [256][600/1879] lr: 1.0000e-04 eta: 0:06:06 time: 0.2982 data_time: 0.0250 memory: 8198 grad_norm: 7.6533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/08/04 05:33:06 - mmengine - INFO - Epoch(train) [256][620/1879] lr: 1.0000e-04 eta: 0:06:00 time: 0.2921 data_time: 0.0332 memory: 8198 grad_norm: 7.3817 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8923 loss: 0.8923 2022/08/04 05:33:12 - mmengine - INFO - Epoch(train) [256][640/1879] lr: 1.0000e-04 eta: 0:05:54 time: 0.2830 data_time: 0.0185 memory: 8198 grad_norm: 7.6079 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7414 loss: 0.7414 2022/08/04 05:33:18 - mmengine - INFO - Epoch(train) [256][660/1879] lr: 1.0000e-04 eta: 0:05:49 time: 0.2934 data_time: 0.0207 memory: 8198 grad_norm: 7.5887 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9746 loss: 0.9746 2022/08/04 05:33:24 - mmengine - INFO - Epoch(train) [256][680/1879] lr: 1.0000e-04 eta: 0:05:43 time: 0.2927 data_time: 0.0220 memory: 8198 grad_norm: 7.4031 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9854 loss: 0.9854 2022/08/04 05:33:29 - mmengine - INFO - Epoch(train) [256][700/1879] lr: 1.0000e-04 eta: 0:05:37 time: 0.2862 data_time: 0.0212 memory: 8198 grad_norm: 7.2481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9301 loss: 0.9301 2022/08/04 05:33:35 - mmengine - INFO - Epoch(train) [256][720/1879] lr: 1.0000e-04 eta: 0:05:32 time: 0.2861 data_time: 0.0200 memory: 8198 grad_norm: 7.6245 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9700 loss: 0.9700 2022/08/04 05:33:41 - mmengine - INFO - Epoch(train) [256][740/1879] lr: 1.0000e-04 eta: 0:05:26 time: 0.3095 data_time: 0.0207 memory: 8198 grad_norm: 7.6324 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8837 loss: 0.8837 2022/08/04 05:33:47 - mmengine - INFO - Epoch(train) [256][760/1879] lr: 1.0000e-04 eta: 0:05:20 time: 0.2826 data_time: 0.0190 memory: 8198 grad_norm: 7.7203 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9521 loss: 0.9521 2022/08/04 05:33:53 - mmengine - INFO - Epoch(train) [256][780/1879] lr: 1.0000e-04 eta: 0:05:14 time: 0.2911 data_time: 0.0249 memory: 8198 grad_norm: 7.6605 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0494 loss: 1.0494 2022/08/04 05:33:59 - mmengine - INFO - Epoch(train) [256][800/1879] lr: 1.0000e-04 eta: 0:05:09 time: 0.2874 data_time: 0.0221 memory: 8198 grad_norm: 7.4568 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/08/04 05:34:05 - mmengine - INFO - Epoch(train) [256][820/1879] lr: 1.0000e-04 eta: 0:05:03 time: 0.3076 data_time: 0.0203 memory: 8198 grad_norm: 7.3308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/04 05:34:11 - mmengine - INFO - Epoch(train) [256][840/1879] lr: 1.0000e-04 eta: 0:04:57 time: 0.2861 data_time: 0.0249 memory: 8198 grad_norm: 7.4870 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9486 loss: 0.9486 2022/08/04 05:34:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:34:16 - mmengine - INFO - Epoch(train) [256][860/1879] lr: 1.0000e-04 eta: 0:04:51 time: 0.2859 data_time: 0.0235 memory: 8198 grad_norm: 7.3250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8909 loss: 0.8909 2022/08/04 05:34:23 - mmengine - INFO - Epoch(train) [256][880/1879] lr: 1.0000e-04 eta: 0:04:46 time: 0.3396 data_time: 0.0162 memory: 8198 grad_norm: 7.3131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9797 loss: 0.9797 2022/08/04 05:34:29 - mmengine - INFO - Epoch(train) [256][900/1879] lr: 1.0000e-04 eta: 0:04:40 time: 0.2864 data_time: 0.0245 memory: 8198 grad_norm: 7.6654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9793 loss: 0.9793 2022/08/04 05:34:35 - mmengine - INFO - Epoch(train) [256][920/1879] lr: 1.0000e-04 eta: 0:04:34 time: 0.2837 data_time: 0.0232 memory: 8198 grad_norm: 7.4256 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9397 loss: 0.9397 2022/08/04 05:34:41 - mmengine - INFO - Epoch(train) [256][940/1879] lr: 1.0000e-04 eta: 0:04:29 time: 0.2986 data_time: 0.0234 memory: 8198 grad_norm: 7.3155 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/08/04 05:34:46 - mmengine - INFO - Epoch(train) [256][960/1879] lr: 1.0000e-04 eta: 0:04:23 time: 0.2824 data_time: 0.0200 memory: 8198 grad_norm: 7.5804 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1108 loss: 1.1108 2022/08/04 05:34:52 - mmengine - INFO - Epoch(train) [256][980/1879] lr: 1.0000e-04 eta: 0:04:17 time: 0.2893 data_time: 0.0250 memory: 8198 grad_norm: 7.5426 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9072 loss: 0.9072 2022/08/04 05:34:58 - mmengine - INFO - Epoch(train) [256][1000/1879] lr: 1.0000e-04 eta: 0:04:11 time: 0.2860 data_time: 0.0187 memory: 8198 grad_norm: 7.3010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/08/04 05:35:04 - mmengine - INFO - Epoch(train) [256][1020/1879] lr: 1.0000e-04 eta: 0:04:06 time: 0.2897 data_time: 0.0221 memory: 8198 grad_norm: 7.3190 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9649 loss: 0.9649 2022/08/04 05:35:10 - mmengine - INFO - Epoch(train) [256][1040/1879] lr: 1.0000e-04 eta: 0:04:00 time: 0.2870 data_time: 0.0234 memory: 8198 grad_norm: 7.3666 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8293 loss: 0.8293 2022/08/04 05:35:15 - mmengine - INFO - Epoch(train) [256][1060/1879] lr: 1.0000e-04 eta: 0:03:54 time: 0.2946 data_time: 0.0222 memory: 8198 grad_norm: 7.7352 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/08/04 05:35:21 - mmengine - INFO - Epoch(train) [256][1080/1879] lr: 1.0000e-04 eta: 0:03:48 time: 0.2928 data_time: 0.0206 memory: 8198 grad_norm: 7.5526 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9258 loss: 0.9258 2022/08/04 05:35:27 - mmengine - INFO - Epoch(train) [256][1100/1879] lr: 1.0000e-04 eta: 0:03:43 time: 0.2857 data_time: 0.0247 memory: 8198 grad_norm: 7.4942 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8471 loss: 0.8471 2022/08/04 05:35:33 - mmengine - INFO - Epoch(train) [256][1120/1879] lr: 1.0000e-04 eta: 0:03:37 time: 0.2909 data_time: 0.0199 memory: 8198 grad_norm: 7.4786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0883 loss: 1.0883 2022/08/04 05:35:39 - mmengine - INFO - Epoch(train) [256][1140/1879] lr: 1.0000e-04 eta: 0:03:31 time: 0.2883 data_time: 0.0223 memory: 8198 grad_norm: 7.4761 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8921 loss: 0.8921 2022/08/04 05:35:45 - mmengine - INFO - Epoch(train) [256][1160/1879] lr: 1.0000e-04 eta: 0:03:26 time: 0.2865 data_time: 0.0272 memory: 8198 grad_norm: 7.7662 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0660 loss: 1.0660 2022/08/04 05:35:50 - mmengine - INFO - Epoch(train) [256][1180/1879] lr: 1.0000e-04 eta: 0:03:20 time: 0.2915 data_time: 0.0208 memory: 8198 grad_norm: 7.5604 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9355 loss: 0.9355 2022/08/04 05:35:56 - mmengine - INFO - Epoch(train) [256][1200/1879] lr: 1.0000e-04 eta: 0:03:14 time: 0.2859 data_time: 0.0229 memory: 8198 grad_norm: 7.4535 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9512 loss: 0.9512 2022/08/04 05:36:02 - mmengine - INFO - Epoch(train) [256][1220/1879] lr: 1.0000e-04 eta: 0:03:08 time: 0.2871 data_time: 0.0211 memory: 8198 grad_norm: 7.6901 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9389 loss: 0.9389 2022/08/04 05:36:08 - mmengine - INFO - Epoch(train) [256][1240/1879] lr: 1.0000e-04 eta: 0:03:03 time: 0.2884 data_time: 0.0237 memory: 8198 grad_norm: 7.3430 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0152 loss: 1.0152 2022/08/04 05:36:14 - mmengine - INFO - Epoch(train) [256][1260/1879] lr: 1.0000e-04 eta: 0:02:57 time: 0.3084 data_time: 0.0244 memory: 8198 grad_norm: 7.4219 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8773 loss: 0.8773 2022/08/04 05:36:20 - mmengine - INFO - Epoch(train) [256][1280/1879] lr: 1.0000e-04 eta: 0:02:51 time: 0.2864 data_time: 0.0226 memory: 8198 grad_norm: 7.3056 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8364 loss: 0.8364 2022/08/04 05:36:25 - mmengine - INFO - Epoch(train) [256][1300/1879] lr: 1.0000e-04 eta: 0:02:45 time: 0.2858 data_time: 0.0229 memory: 8198 grad_norm: 7.5512 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9942 loss: 0.9942 2022/08/04 05:36:31 - mmengine - INFO - Epoch(train) [256][1320/1879] lr: 1.0000e-04 eta: 0:02:40 time: 0.2990 data_time: 0.0219 memory: 8198 grad_norm: 7.2908 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/04 05:36:37 - mmengine - INFO - Epoch(train) [256][1340/1879] lr: 1.0000e-04 eta: 0:02:34 time: 0.2854 data_time: 0.0250 memory: 8198 grad_norm: 7.5464 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0566 loss: 1.0566 2022/08/04 05:36:43 - mmengine - INFO - Epoch(train) [256][1360/1879] lr: 1.0000e-04 eta: 0:02:28 time: 0.2857 data_time: 0.0206 memory: 8198 grad_norm: 7.6062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9397 loss: 0.9397 2022/08/04 05:36:49 - mmengine - INFO - Epoch(train) [256][1380/1879] lr: 1.0000e-04 eta: 0:02:22 time: 0.2870 data_time: 0.0258 memory: 8198 grad_norm: 7.6064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0013 loss: 1.0013 2022/08/04 05:36:55 - mmengine - INFO - Epoch(train) [256][1400/1879] lr: 1.0000e-04 eta: 0:02:17 time: 0.2914 data_time: 0.0224 memory: 8198 grad_norm: 7.6040 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8321 loss: 0.8321 2022/08/04 05:37:00 - mmengine - INFO - Epoch(train) [256][1420/1879] lr: 1.0000e-04 eta: 0:02:11 time: 0.2877 data_time: 0.0242 memory: 8198 grad_norm: 7.4420 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/04 05:37:07 - mmengine - INFO - Epoch(train) [256][1440/1879] lr: 1.0000e-04 eta: 0:02:05 time: 0.3241 data_time: 0.0181 memory: 8198 grad_norm: 7.2499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7900 loss: 0.7900 2022/08/04 05:37:13 - mmengine - INFO - Epoch(train) [256][1460/1879] lr: 1.0000e-04 eta: 0:02:00 time: 0.2897 data_time: 0.0262 memory: 8198 grad_norm: 7.3620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9751 loss: 0.9751 2022/08/04 05:37:18 - mmengine - INFO - Epoch(train) [256][1480/1879] lr: 1.0000e-04 eta: 0:01:54 time: 0.2888 data_time: 0.0258 memory: 8198 grad_norm: 7.4697 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/08/04 05:37:24 - mmengine - INFO - Epoch(train) [256][1500/1879] lr: 1.0000e-04 eta: 0:01:48 time: 0.2931 data_time: 0.0209 memory: 8198 grad_norm: 7.5320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/08/04 05:37:30 - mmengine - INFO - Epoch(train) [256][1520/1879] lr: 1.0000e-04 eta: 0:01:42 time: 0.2881 data_time: 0.0206 memory: 8198 grad_norm: 7.5628 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9131 loss: 0.9131 2022/08/04 05:37:36 - mmengine - INFO - Epoch(train) [256][1540/1879] lr: 1.0000e-04 eta: 0:01:37 time: 0.2889 data_time: 0.0264 memory: 8198 grad_norm: 7.4126 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8911 loss: 0.8911 2022/08/04 05:37:42 - mmengine - INFO - Epoch(train) [256][1560/1879] lr: 1.0000e-04 eta: 0:01:31 time: 0.3075 data_time: 0.0251 memory: 8198 grad_norm: 7.7575 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0027 loss: 1.0027 2022/08/04 05:37:48 - mmengine - INFO - Epoch(train) [256][1580/1879] lr: 1.0000e-04 eta: 0:01:25 time: 0.2858 data_time: 0.0206 memory: 8198 grad_norm: 7.4708 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9861 loss: 0.9861 2022/08/04 05:37:54 - mmengine - INFO - Epoch(train) [256][1600/1879] lr: 1.0000e-04 eta: 0:01:19 time: 0.2869 data_time: 0.0223 memory: 8198 grad_norm: 7.5516 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9690 loss: 0.9690 2022/08/04 05:38:00 - mmengine - INFO - Epoch(train) [256][1620/1879] lr: 1.0000e-04 eta: 0:01:14 time: 0.2907 data_time: 0.0277 memory: 8198 grad_norm: 7.4279 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0075 loss: 1.0075 2022/08/04 05:38:05 - mmengine - INFO - Epoch(train) [256][1640/1879] lr: 1.0000e-04 eta: 0:01:08 time: 0.2971 data_time: 0.0197 memory: 8198 grad_norm: 7.1579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9230 loss: 0.9230 2022/08/04 05:38:11 - mmengine - INFO - Epoch(train) [256][1660/1879] lr: 1.0000e-04 eta: 0:01:02 time: 0.2865 data_time: 0.0237 memory: 8198 grad_norm: 7.4922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9991 loss: 0.9991 2022/08/04 05:38:17 - mmengine - INFO - Epoch(train) [256][1680/1879] lr: 1.0000e-04 eta: 0:00:57 time: 0.2917 data_time: 0.0269 memory: 8198 grad_norm: 7.5282 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1283 loss: 1.1283 2022/08/04 05:38:23 - mmengine - INFO - Epoch(train) [256][1700/1879] lr: 1.0000e-04 eta: 0:00:51 time: 0.3033 data_time: 0.0247 memory: 8198 grad_norm: 7.7709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9838 loss: 0.9838 2022/08/04 05:38:29 - mmengine - INFO - Epoch(train) [256][1720/1879] lr: 1.0000e-04 eta: 0:00:45 time: 0.2838 data_time: 0.0227 memory: 8198 grad_norm: 7.2507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/04 05:38:35 - mmengine - INFO - Epoch(train) [256][1740/1879] lr: 1.0000e-04 eta: 0:00:39 time: 0.2888 data_time: 0.0222 memory: 8198 grad_norm: 7.7883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/08/04 05:38:41 - mmengine - INFO - Epoch(train) [256][1760/1879] lr: 1.0000e-04 eta: 0:00:34 time: 0.2905 data_time: 0.0181 memory: 8198 grad_norm: 7.4547 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9874 loss: 0.9874 2022/08/04 05:38:46 - mmengine - INFO - Epoch(train) [256][1780/1879] lr: 1.0000e-04 eta: 0:00:28 time: 0.2856 data_time: 0.0229 memory: 8198 grad_norm: 7.6289 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/08/04 05:38:52 - mmengine - INFO - Epoch(train) [256][1800/1879] lr: 1.0000e-04 eta: 0:00:22 time: 0.2866 data_time: 0.0173 memory: 8198 grad_norm: 7.6468 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0521 loss: 1.0521 2022/08/04 05:38:58 - mmengine - INFO - Epoch(train) [256][1820/1879] lr: 1.0000e-04 eta: 0:00:16 time: 0.2885 data_time: 0.0248 memory: 8198 grad_norm: 7.4793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0418 loss: 1.0418 2022/08/04 05:39:04 - mmengine - INFO - Epoch(train) [256][1840/1879] lr: 1.0000e-04 eta: 0:00:11 time: 0.2923 data_time: 0.0215 memory: 8198 grad_norm: 7.4998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/08/04 05:39:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:39:10 - mmengine - INFO - Epoch(train) [256][1860/1879] lr: 1.0000e-04 eta: 0:00:05 time: 0.2880 data_time: 0.0237 memory: 8198 grad_norm: 7.3285 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8327 loss: 0.8327 2022/08/04 05:39:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb_20220802_141125 2022/08/04 05:39:15 - mmengine - INFO - Epoch(train) [256][1879/1879] lr: 1.0000e-04 eta: 0:00:05 time: 0.2595 data_time: 0.0126 memory: 8198 grad_norm: 7.6364 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8578 loss: 0.8578 2022/08/04 05:39:15 - mmengine - INFO - Saving checkpoint at 256 epochs